World Bank

World Bank

We periodically download all the available data from the World Bank API (usually on an annual basis), resulting in over 21 000 series, observed across 219 countries.

Click here to see two charts summarizing all the available data.

Selection of a smaller set of data

This combination of indicators and countries results in 1.7 million series (or almost 24 million data points including the time dimension, after dropping missing values), so we make some decisions to reduce the number of series we provide. Firstly, we only provide the top 100 countries in terms of the latest PPP GDP, plus Eswatini. This excludes countries such as Zambia (in 103rd position), Mali (in 114th position), Iceland (147th position), Bermuda (163rd position), Comoros (180th position) and lastly Tuvalu (199th position, with a GDP of PPP$ 57 million in 2023).

Dataflows

We split up the data into manageable dataflows using the World Bank’s official indicator categories:

  • Agriculture & Rural Development
  • Aid Effectiveness
  • Climate Change
  • Economy & Growth
  • Education
  • Energy & Mining
  • Environment
  • External Debt
  • Financial Sector
  • Gender
  • Global Economic Monitor
  • Health
  • Infrastructure
  • Poverty
  • Private Sector
  • Public Sector
  • Science & Technology
  • Social Development
  • Social Protection & Labor
  • Trade
  • Urban Development

These categories only cover about 5000 indicators, as not all indicators are categorised in the World Bank API. Furthermore, the indicators from the Global Economic Monitor source are also not categorised into topics, but we want to include this source, so we explicitly include this source as a separate dataflow.

Further selection

We then prune those indicators down further, seeking to make the scale more approachable for our users. Each indicator is scored on observable properties of the data itself, measured across the 21 dataflows and the 101 countries we publish (the World Bank’s world and regional aggregates are published alongside them, but the score is measured on country coverage):

  • Breadth — how many of the countries the indicator actually covers.
  • Depth — the median length of the country series, in years.
  • Density — how complete the country-by-year panel is, which sets sparse survey-based series apart from continuously observed ones.
  • Recency — how current the latest observation is.
  • Flagship status — whether the indicator belongs to the World Bank’s own curated World Development Indicators database.
  • Thematic balance — a weighting towards topics that are otherwise thinly covered.

This currently yields about 779 indicators. The World Bank tags most indicators with several topics; we resolve these to a single home by preferring the most specific topic, so that a trade statistic is filed under Trade rather than the broader Economy & Growth.

Attributes

  • Source Dataset (known as ‘Source Organization’ in the World Bank API) Examples:
    • World Bank, International Debt Statistics.
    • World Development Indicators (World Bank)
    • United Nations, World Urbanization Prospects.
    • Food and Agriculture Organization, AQUASTAT data, and World Bank and OECD GDP estimates.
  • Frequency (e.g. annual)
  • Data presentation – summary description
    Concept ID: DATA_DESCR
    Definition: Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated.
    Example: “The consumer price index reflects the change in prices for the average consumer of a constant basket of consumer goods. Data is not seasonally adjusted.”
  • Data provider
    Concept ID: DATA_PROVIDER
    Definition: Organisation or individual that reports or disseminates data or reference metadata.
    Example: World Development Indicators
  • Source Identifier: original indicator ID used by the World Bank
  • Comment
    Example: “”There is a discontinuity in 1991 caused by Statistics New Zealand’s change from ‘de facto’ to ‘resident’ population estimates.”
  • Label: Used for your analysis, and for our EconData app. This is composed of the ISO two-character country code, followed by the indicator name.
  • Base Period
  • Unit of Measure (we still need to improve the metadata in this concept)
  • Release description: date on which we downloaded all the data in this vintage

Dimensions

1. Indicator

The first encoded dimension is the indicator code, which is mapped to the indicator name in the respective codelist for that dataflow. After each dataflow heading below, we write the dataflow ID. Please click on this paragraph to see the full list.

Agriculture & Rural Development WB_AGRI_RURAL

  • Access to electricity, rural (% of rural population) EGELCACCSRUZS
  • Agriculture, forestry, and fishing, value added (% of GDP) NVAGRTOTLZS
  • Agriculture, forestry, and fishing, value added (current US$) NVAGRTOTLCD
  • Arable land (hectares per person) AGLNDARBLHAPC
  • Arable land (hectares) AGLNDARBLHA
  • Cereal production (metric tons) AGPRDCRELMT
  • Employment in agriculture (% of total employment) (modeled ILO estimate) SLAGREMPLZS
  • Employment in agriculture, female (% of female employment) (modeled ILO estimate) SLAGREMPLFEZS
  • Employment in agriculture, male (% of male employment) (modeled ILO estimate) SLAGREMPLMAZS
  • Fertilizer consumption (kilograms per hectare of arable land) AGCONFERTZS
  • Land under cereal production (hectares) AGLNDCRELHA
  • Permanent cropland (% of land area) AGLNDCROPZS
  • Rural population SPRURTOTL
  • Rural population (% of total population) SPRURTOTLZS
  • Rural population growth (annual %) SPRURTOTLZG
  • Rural population living in areas where elevation is below 5 meters (% of total population) ENPOPEL5MRUZS

Aid Effectiveness WB_AID

  • Incidence of tuberculosis (per 100,000 people) SHTBSINCD
  • Net ODA received (% of central government expense) DTODAODATXPZS
  • Net ODA received (% of gross capital formation) DTODAODATGIZS
  • Net ODA received (% of imports of goods, services and primary income) DTODAODATMPZS
  • Net ODA received per capita (current US$) DTODAODATPCZS
  • Net migration SMPOPNETM
  • Net official development assistance and official aid received (constant 2021 US$) DTODAALLDKD
  • Net official development assistance and official aid received (current US$) DTODAALLDCD
  • Net official development assistance received (constant 2021 US$) DTODAODATKD
  • Net official development assistance received (current US$) DTODAODATCD
  • Net official flows from UN agencies, FAO (current US$) DTNFLFAOGCD
  • Net official flows from UN agencies, IAEA (current US$) DTNFLIAEACD
  • Net official flows from UN agencies, IFAD (current US$) DTNFLIFADCD
  • Net official flows from UN agencies, ILO (current US$) DTNFLILOGCD
  • Net official flows from UN agencies, UNAIDS (current US$) DTNFLUNAICD
  • Net official flows from UN agencies, UNDP (current US$) DTNFLUNDPCD
  • Net official flows from UN agencies, UNECE (current US$) DTNFLUNECCD
  • Net official flows from UN agencies, UNFPA (current US$) DTNFLUNFPCD
  • Net official flows from UN agencies, UNHCR (current US$) DTNFLUNCRCD
  • Net official flows from UN agencies, UNICEF (current US$) DTNFLUNCFCD
  • Net official flows from UN agencies, UNPBF (current US$) DTNFLUNPBCD
  • Net official flows from UN agencies, UNRWA (current US$) DTNFLUNRWCD
  • Net official flows from UN agencies, UNTA (current US$) DTNFLUNTACD
  • Net official flows from UN agencies, UNWTO (current US$) DTNFLUNWTCD
  • Net official flows from UN agencies, WFP (current US$) DTNFLWFPGCD
  • Net official flows from UN agencies, WHO (current US$) DTNFLWHOLCD
  • School enrollment, primary and secondary (gross), gender parity index (GPI) SEENRPRSCFMZS
  • Vulnerable employment, total (% of total employment) (modeled ILO estimate) SLEMPVULNZS

Climate Change WB_CLIMATE

  • Agricultural land (% of land area) AGLNDAGRIZS
  • Agricultural land (sq. km) AGLNDAGRIK2
  • Arable land (% of land area) AGLNDARBLZS
  • CPIA public sector management and institutions cluster average (1=low to 6=high) IQCPAPUBSXQ
  • Cereal yield (kg per hectare) AGYLDCRELKG
  • Electric power consumption (kWh per capita) EGUSEELECKHPC
  • Electricity production from coal sources (% of total) EGELCCOALZS
  • Electricity production from hydroelectric sources (% of total) EGELCHYROZS
  • Electricity production from nuclear sources (% of total) EGELCNUCLZS
  • Forest area (% of land area) AGLNDFRSTZS
  • Forest area (sq. km) AGLNDFRSTK2
  • Population growth (annual %) SPPOPGROW
  • Population in urban agglomerations of more than 1 million (% of total population) ENURBMCTYTLZS
  • Population living in areas where elevation is below 5 meters (% of total population) ENPOPEL5MZS
  • Population, total SPPOPTOTL
  • Terrestrial and marine protected areas (% of total territorial area) ERPTDTOTLZS
  • Terrestrial protected areas (% of total land area) ERLNDPTLDZS
  • Urban population (% of total population) SPURBTOTLINZS
  • Urban population growth (annual %) SPURBGROW
  • Urban population living in areas where elevation is below 5 meters (% of total population) ENPOPEL5MURZS

Economy & Growth WB_ECONOMY

  • Adjusted savings: education expenditure (% of GNI) NYADJAEDUGNZS
  • Adjusted savings: education expenditure (current US$) NYADJAEDUCD
  • Agriculture, forestry, and fishing, value added (annual % growth) NVAGRTOTLKDZG
  • Agriculture, forestry, and fishing, value added per worker (constant 2015 US$) NVAGREMPLKD
  • Central government debt, total (% of GDP) GCDODTOTLGDZS
  • Current account balance (% of GDP) BNCABXOKAGDZS
  • Current account balance (BoP, current US$) BNCABXOKACD
  • Discrepancy in expenditure estimate of GDP (constant LCU) NYGDPDISCKN
  • Exports of goods and services (% of GDP) NEEXPGNFSZS
  • Exports of goods and services (BoP, current US$) BXGSRGNFSCD
  • Exports of goods and services (annual % growth) NEEXPGNFSKDZG
  • Exports of goods and services (constant 2015 US$) NEEXPGNFSKD
  • Exports of goods and services (constant LCU) NEEXPGNFSKN
  • Exports of goods and services (current LCU) NEEXPGNFSCN
  • Exports of goods and services (current US$) NEEXPGNFSCD
  • Exports of goods, services and primary income (BoP, current US$) BXGSRTOTLCD
  • Exports of goods, services, income and workers’ remittances (BoP, current US$) BXGSRINCLCD
  • External balance on goods and services (% of GDP) NERSBGNFSZS
  • External debt stocks (% of GNI) DTDODDECTGNZS
  • Financial intermediary services indirectly Measured (FISIM) (constant LCU) NVFSMTOTLKN
  • Financial intermediary services indirectly Measured (FISIM) (current LCU) NVFSMTOTLCN
  • Foreign direct investment, net (BoP, current US$) BNKLTDINVCD
  • Foreign direct investment, net inflows (% of GDP) BXKLTDINVWDGDZS
  • Foreign direct investment, net inflows (BoP, current US$) BXKLTDINVCDWD
  • Foreign direct investment, net outflows (% of GDP) BMKLTDINVWDGDZS
  • GDP (constant 2005 $) 60GDPUSD
  • GDP (constant 2015 US$) NYGDPMKTPKD
  • GDP (constant LCU) NYGDPMKTPKN
  • GDP (current LCU) NYGDPMKTPCN
  • GDP (current US$) NYGDPMKTPCD
  • GDP deflator (base year varies by country) NYGDPDEFLZS
  • GDP growth (annual %) NYGDPMKTPKDZG
  • GDP growth (annual %) 60GDPGROWTH
  • GDP per capita (constant 2015 US$) NYGDPPCAPKD
  • GDP per capita (constant LCU) NYGDPPCAPKN
  • GDP per capita (current LCU) NYGDPPCAPCN
  • GDP per capita (current US$) NYGDPPCAPCD
  • GDP per capita growth (annual %) NYGDPPCAPKDZG
  • GDP per capita, PPP (constant 2011 international $) 60GDPPCCONSTANT
  • GDP per capita, PPP (constant 2021 international $) NYGDPPCAPPPKD
  • GDP per capita, PPP (current international $) NYGDPPCAPPPCD
  • GDP, PPP (constant 2021 international $) NYGDPMKTPPPKD
  • GDP, PPP (current international $) NYGDPMKTPPPCD
  • GNI growth (annual %) NYGNPMKTPKDZG
  • GNI per capita (2011 $) 60GNIPC
  • GNI per capita (constant 2015 US$) NYGNPPCAPKD
  • GNI per capita (constant LCU) NYGNPPCAPKN
  • GNI per capita (current LCU) NYGNPPCAPCN
  • GNI per capita growth (annual %) NYGNPPCAPKDZG
  • GNI per capita, Atlas method (current US$) NYGNPPCAPCD
  • GNI per capita, PPP (constant 2021 international $) NYGNPPCAPPPKD
  • GNI per capita, PPP (current international $) NYGNPPCAPPPCD
  • GNI, Atlas method (current US$) NYGNPATLSCD
  • GNI, PPP (constant 2021 international $) NYGNPMKTPPPKD
  • GNI, PPP (current international $) NYGNPMKTPPPCD
  • Gross capital formation (% of GDP) NEGDITOTLZS
  • Gross capital formation (annual % growth) NEGDITOTLKDZG
  • Gross capital formation (constant 2015 US$) NEGDITOTLKD
  • Gross capital formation (constant LCU) NEGDITOTLKN
  • Gross capital formation (current LCU) NEGDITOTLCN
  • Gross capital formation (current US$) NEGDITOTLCD
  • Gross domestic savings (% of GDP) NYGDSTOTLZS
  • Gross savings (% of GDP) NYGNSICTRZS
  • Gross value added at basic prices (GVA) (constant 2015 US$) NYGDPFCSTKD
  • Gross value added at basic prices (GVA) (constant LCU) NYGDPFCSTKN
  • Gross value added at basic prices (GVA) (current LCU) NYGDPFCSTCN
  • Gross value added at basic prices (GVA) (current US$) NYGDPFCSTCD
  • Households and NPISHs Final consumption expenditure per capita (constant 2015 US$) NECONPRVTPCKD
  • Households and NPISHs Final consumption expenditure per capita growth (annual %) NECONPRVTPCKDZG
  • Households and NPISHs Final consumption expenditure, PPP (current international $) NECONPRVTPPCD
  • ICT service exports (% of service exports, BoP) BXGSRCCISZS
  • ICT service exports (BoP, current US$) BXGSRCCISCD
  • Imports of goods and services (% of GDP) NEIMPGNFSZS
  • Imports of goods and services (BoP, current US$) BMGSRGNFSCD
  • Imports of goods and services (annual % growth) NEIMPGNFSKDZG
  • Imports of goods and services (constant 2015 US$) NEIMPGNFSKD
  • Imports of goods and services (constant LCU) NEIMPGNFSKN
  • Imports of goods and services (current LCU) NEIMPGNFSCN
  • Imports of goods and services (current US$) NEIMPGNFSCD
  • Imports of goods, services and primary income (BoP, current US$) BMGSRTOTLCD
  • Industry (including construction), value added (% of GDP) NVINDTOTLZS
  • Industry (including construction), value added (annual % growth) NVINDTOTLKDZG
  • Industry (including construction), value added (constant 2015 US$) NVINDTOTLKD
  • Industry (including construction), value added (constant LCU) NVINDTOTLKN
  • Industry (including construction), value added (current LCU) NVINDTOTLCN
  • Industry (including construction), value added (current US$) NVINDTOTLCD
  • Industry (including construction), value added per worker (constant 2015 US$) NVINDEMPLKD
  • Inflation, GDP deflator (annual %) NYGDPDEFLKDZG
  • Inflation, consumer prices (annual %) FPCPITOTLZG
  • Insurance and financial services (% of service exports, BoP) BXGSRINSFZS
  • Insurance and financial services (% of service imports, BoP) BMGSRINSFZS
  • Manufacturing, value added (% of GDP) NVINDMANFZS
  • Manufacturing, value added (annual % growth) NVINDMANFKDZG
  • Medium and high-tech manufacturing value added (% manufacturing value added) NVMNFTECHZSUN
  • Net trade in goods (BoP, current US$) BNGSRMRCHCD
  • Net trade in goods and services (BoP, current US$) BNGSRGNFSCD
  • Other manufacturing (% of value added in manufacturing) NVMNFOTHRZSUN
  • PPP conversion factor, GDP (LCU per international $) PANUSPPP
  • PPP conversion factor, households and NPISHs Final consumption expenditure (LCU per international $) PANUSPRVTPP
  • Present value of external debt (% of exports of goods, services and primary income) DTDODPVLXEXZS
  • Services, value added (% of GDP) NVSRVTOTLZS
  • Services, value added (annual % growth) NVSRVTOTLKDZG
  • Services, value added (constant 2015 US$) NVSRVTOTLKD
  • Services, value added (constant LCU) NVSRVTOTLKN
  • Services, value added (current LCU) NVSRVTOTLCN
  • Services, value added (current US$) NVSRVTOTLCD
  • Services, value added per worker (constant 2015 US$) NVSRVEMPLKD
  • Short-term debt (% of exports of goods, services and primary income) DTDODDSTCXPZS
  • Short-term debt (% of total reserves) DTDODDSTCIRZS
  • Terms of trade adjustment (constant LCU) NYTTFGNFSKN
  • Total debt service (% of exports of goods, services and primary income) DTTDSDECTEXZS
  • Trade (% of GDP) NETRDGNFSZS
  • Trade in services (% of GDP) BGGSRNFSVGDZS

Education WB_EDUCATION

  • Barro-Lee: Percentage of female population age 15+ with no education BARNOED15UPFEZS
  • Barro-Lee: Percentage of female population age 15-19 with no education BARNOED1519FEZS
  • Barro-Lee: Percentage of female population age 20-24 with no education BARNOED2024FEZS
  • Barro-Lee: Percentage of female population age 25+ with no education BARNOED25UPFEZS
  • Barro-Lee: Percentage of female population age 25-29 with no education BARNOED2529FEZS
  • Barro-Lee: Percentage of female population age 30-34 with no education BARNOED3034FEZS
  • Barro-Lee: Percentage of female population age 40-44 with no education BARNOED4044FEZS
  • Barro-Lee: Percentage of female population age 45-49 with no education BARNOED4549FEZS
  • Barro-Lee: Percentage of female population age 50-54 with no education BARNOED5054FEZS
  • Barro-Lee: Percentage of female population age 55-59 with no education BARNOED5559FEZS
  • Barro-Lee: Percentage of female population age 60-64 with no education BARNOED6064FEZS
  • Barro-Lee: Percentage of population age 15+ with no education BARNOED15UPZS
  • Barro-Lee: Percentage of population age 15-19 with no education BARNOED1519ZS
  • Barro-Lee: Percentage of population age 20-24 with no education BARNOED2024ZS
  • Barro-Lee: Percentage of population age 25+ with no education BARNOED25UPZS
  • Barro-Lee: Percentage of population age 25-29 with no education BARNOED2529ZS
  • Barro-Lee: Percentage of population age 30-34 with no education BARNOED3034ZS
  • Barro-Lee: Percentage of population age 35-39 with no education BARNOED3539ZS
  • Barro-Lee: Percentage of population age 40-44 with no education BARNOED4044ZS
  • Barro-Lee: Percentage of population age 45-49 with no education BARNOED4549ZS
  • Barro-Lee: Percentage of population age 50-54 with no education BARNOED5054ZS
  • Barro-Lee: Percentage of population age 55-59 with no education BARNOED5559ZS
  • Barro-Lee: Percentage of population age 60-64 with no education BARNOED6064ZS
  • Compulsory education, duration (years) SECOMDURS
  • Current education expenditure, primary (% of total expenditure in primary public institutions) SEXPDCPRMZS
  • Current education expenditure, secondary (% of total expenditure in secondary public institutions) SEXPDCSECZS
  • Current education expenditure, tertiary (% of total expenditure in tertiary public institutions) SEXPDCTERZS
  • Current education expenditure, total (% of total expenditure in public institutions) SEXPDCTOTZS
  • Educational attainment, Doctoral or equivalent, population 25+, female (%) (cumulative) SETERCUATDOFEZS
  • Educational attainment, Doctoral or equivalent, population 25+, male (%) (cumulative) SETERCUATDOMAZS
  • Educational attainment, Doctoral or equivalent, population 25+, total (%) (cumulative) SETERCUATDOZS
  • Educational attainment, at least Bachelor’s or equivalent, population 25+, female (%) (cumulative) SETERCUATBAFEZS
  • Educational attainment, at least Bachelor’s or equivalent, population 25+, male (%) (cumulative) SETERCUATBAMAZS
  • Educational attainment, at least Bachelor’s or equivalent, population 25+, total (%) (cumulative) SETERCUATBAZS
  • Educational attainment, at least Master’s or equivalent, population 25+, female (%) (cumulative) SETERCUATMSFEZS
  • Educational attainment, at least Master’s or equivalent, population 25+, male (%) (cumulative) SETERCUATMSMAZS
  • Educational attainment, at least Master’s or equivalent, population 25+, total (%) (cumulative) SETERCUATMSZS
  • Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative) SESECCUATLOFEZS
  • Educational attainment, at least completed lower secondary, population 25+, male (%) (cumulative) SESECCUATLOMAZS
  • Educational attainment, at least completed lower secondary, population 25+, total (%) (cumulative) SESECCUATLOZS
  • Educational attainment, at least completed post-secondary, population 25+, female (%) (cumulative) SESECCUATPOFEZS
  • Educational attainment, at least completed post-secondary, population 25+, male (%) (cumulative) SESECCUATPOMAZS
  • Educational attainment, at least completed post-secondary, population 25+, total (%) (cumulative) SESECCUATPOZS
  • Educational attainment, at least completed primary, population 25+ years, female (%) (cumulative) SEPRMCUATFEZS
  • Educational attainment, at least completed primary, population 25+ years, male (%) (cumulative) SEPRMCUATMAZS
  • Educational attainment, at least completed primary, population 25+ years, total (%) (cumulative) SEPRMCUATZS
  • Educational attainment, at least completed short-cycle tertiary, population 25+, female (%) (cumulative) SETERCUATSTFEZS
  • Educational attainment, at least completed short-cycle tertiary, population 25+, male (%) (cumulative) SETERCUATSTMAZS
  • Educational attainment, at least completed short-cycle tertiary, population 25+, total (%) (cumulative) SETERCUATSTZS
  • Educational attainment, at least completed upper secondary, population 25+, female (%) (cumulative) SESECCUATUPFEZS
  • Educational attainment, at least completed upper secondary, population 25+, male (%) (cumulative) SESECCUATUPMAZS
  • Educational attainment, at least completed upper secondary, population 25+, total (%) (cumulative) SESECCUATUPZS
  • Expenditure on primary education (% of government expenditure on education) SEXPDPRIMZS
  • Expenditure on secondary education (% of government expenditure on education) SEXPDSECOZS
  • Expenditure on tertiary education (% of government expenditure on education) SEXPDTERTZS
  • Government expenditure on education, total (% of GDP) SEXPDTOTLGDZS
  • Government expenditure on education, total (% of government expenditure) SEXPDTOTLGBZS
  • Government expenditure per student, primary (% of GDP per capita) SEXPDPRIMPCZS
  • Government expenditure per student, secondary (% of GDP per capita) SEXPDSECOPCZS
  • Government expenditure per student, tertiary (% of GDP per capita) SEXPDTERTPCZS
  • Labor force, total SLTLFTOTLIN
  • Literacy rate, adult male (% of males ages 15 and above) SEADTLITRMAZS
  • Literacy rate, adult total (% of people ages 15 and above) SEADTLITRZS
  • Literacy rate, youth (ages 15-24), gender parity index (GPI) SEADT1524LTFMZS
  • Literacy rate, youth female (% of females ages 15-24) SEADT1524LTFEZS
  • Literacy rate, youth male (% of males ages 15-24) SEADT1524LTMAZS
  • Literacy rate, youth total (% of people ages 15-24) SEADT1524LTZS
  • Lower secondary school starting age (years) SESECAGES
  • Number of deaths ages 10-14 years SHDTH1014
  • Number of deaths ages 15-19 years SHDTH1519
  • Number of deaths ages 20-24 years SHDTH2024
  • Number of deaths ages 5-9 years SHDTH0509
  • Percentage of graduates from tertiary education graduating from Engineering, Manufacturing and Construction programmes, both sexes (%) SETERGRADENZS
  • Percentage of graduates from tertiary education graduating from Health and Welfare programmes, both sexes (%) SETERGRADHLZS
  • Percentage of graduates from tertiary education graduating from Services programmes, both sexes (%) SETERGRADSVZS
  • Population ages 0-14 (% of total population) SPPOP0014TOZS
  • Population ages 15-64 (% of total population) SPPOP1564TOZS
  • Primary education, duration (years) SEPRMDURS
  • Primary education, pupils SEPRMENRL
  • Primary school starting age (years) SEPRMAGES
  • Probability of dying among adolescents ages 10-14 years (per 1,000) SHDYN1014
  • Probability of dying among adolescents ages 15-19 years (per 1,000) SHDYN1519
  • Probability of dying among children ages 5-9 years (per 1,000) SHDYN0509
  • Probability of dying among youth ages 20-24 years (per 1,000) SHDYN2024
  • School enrollment, preprimary (% gross) SEPREENRR
  • School enrollment, preprimary, female (% gross) SEPREENRRFE
  • School enrollment, preprimary, male (% gross) SEPREENRRMA
  • School enrollment, primary (% gross) SEPRMENRR
  • School enrollment, primary (% net) SEPRMNENR
  • School enrollment, primary (gross), gender parity index (GPI) SEENRPRIMFMZS
  • School enrollment, primary, female (% gross) SEPRMENRRFE
  • School enrollment, primary, female (% net) SEPRMNENRFE
  • School enrollment, primary, male (% gross) SEPRMENRRMA
  • School enrollment, primary, male (% net) SEPRMNENRMA
  • School enrollment, secondary (% gross) SESECENRR
  • School enrollment, secondary (% net) SESECNENR
  • School enrollment, secondary (gross), gender parity index (GPI) SEENRSECOFMZS
  • School enrollment, secondary, female (% gross) SESECENRRFE
  • School enrollment, secondary, female (% net) SESECNENRFE
  • School enrollment, secondary, male (% gross) SESECENRRMA
  • School enrollment, secondary, male (% net) SESECNENRMA
  • School enrollment, tertiary (% gross) SETERENRR
  • School enrollment, tertiary (gross), gender parity index (GPI) SEENRTERTFMZS
  • School enrollment, tertiary, female (% gross) SETERENRRFE
  • School enrollment, tertiary, male (% gross) SETERENRRMA
  • Secondary education, duration (years) SESECDURS
  • Share of all students in lower secondary education enrolled in vocational programmes (%) UISGTVP2V
  • Share of all students in secondary education enrolled in vocational programmes (%) SESECENRLVOZS
  • Share of all students in upper secondary education enrolled in vocational programmes (%) UISGTVP3V
  • Share of male students in secondary education enrolled in vocational programmes (%) SESECENRLMAVOZS
  • Trained teachers in lower secondary education (% of total teachers) SESECTCAQLOZS
  • Trained teachers in preprimary education (% of total teachers) SEPRETCAQZS
  • Trained teachers in primary education (% of total teachers) SEPRMTCAQZS
  • Trained teachers in secondary education (% of total teachers) SESECTCAQZS
  • Trained teachers in upper secondary education (% of total teachers) SESECTCAQUPZS
  • Unemployment, female (% of female labor force) (modeled ILO estimate) SLUEMTOTLFEZS
  • Unemployment, male (% of male labor force) (modeled ILO estimate) SLUEMTOTLMAZS
  • Unemployment, total (% of total labor force) (modeled ILO estimate) SLUEMTOTLZS

Energy & Mining WB_ENERGY

  • Access to electricity (% of population) EGELCACCSZS
  • Access to electricity, urban (% of urban population) EGELCACCSURZS
  • Alternative and nuclear energy (% of total energy use) EGUSECOMMCLZS
  • Combustible renewables and waste (% of total energy) EGUSECRNWZS
  • Electric power transmission and distribution losses (% of output) EGELCLOSSZS
  • Energy use (kg of oil equivalent per capita) EGUSEPCAPKGOE
  • Energy use (kg of oil equivalent) per $1,000 GDP (constant 2021 PPP) EGUSECOMMGDPPKD
  • Fossil fuel energy consumption (% of total) EGUSECOMMFOZS
  • GDP per unit of energy use (PPP $ per kg of oil equivalent) EGGDPPUSEKOPP
  • GDP per unit of energy use (constant 2021 PPP $ per kg of oil equivalent) EGGDPPUSEKOPPKD

Environment WB_ENVIR

  • Aquaculture production (metric tons) ERFSHAQUAMT
  • Capture fisheries production (metric tons) ERFSHCAPTMT
  • Carbon dioxide (CO2) emissions (total) excluding LULUCF (% change from 1990) ENGHGCO2ZGAR5
  • Carbon dioxide (CO2) emissions (total) excluding LULUCF (Mt CO2e) ENGHGCO2MTCEAR5
  • Carbon dioxide (CO2) emissions excluding LULUCF per capita (t CO2e/capita) ENGHGCO2PCCEAR5
  • Carbon intensity of GDP (kg CO2e per 2021 PPP $ of GDP) ENGHGCO2RTGDPPPKD
  • Carbon intensity of GDP (kg CO2e per constant 2015 US$ of GDP) ENGHGCO2RTGDPKD
  • Electricity production from oil, gas and coal sources (% of total) EGELCFOSLZS
  • Land area (sq. km) AGLNDTOTLK2
  • Methane (CH4) emissions (total) excluding LULUCF (% change from 1990) ENGHGCH4ZGAR5
  • Methane (CH4) emissions (total) excluding LULUCF (Mt CO2e) ENGHGCH4MTCEAR5
  • Methane (CH4) emissions from Fugitive Emissions (Energy) (Mt CO2e) ENGHGCH4FEMTCEAR5
  • Methane (CH4) emissions from Industrial Combustion (Energy) (Mt CO2e) ENGHGCH4ICMTCEAR5
  • Methane (CH4) emissions from Power Industry (Energy) (Mt CO2e) ENGHGCH4PIMTCEAR5
  • Nitrous oxide (N2O) emissions (total) excluding LULUCF (Mt CO2e) ENGHGN2OMTCEAR5
  • PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total) ENATMPM25MCT1ZS
  • PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-2 value (% of total) ENATMPM25MCT2ZS
  • PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-3 value (% of total) ENATMPM25MCT3ZS
  • People practicing open defecation (% of population) SHSTAODFCZS
  • People practicing open defecation, rural (% of rural population) SHSTAODFCRUZS
  • People practicing open defecation, urban (% of urban population) SHSTAODFCURZS
  • People using at least basic drinking water services, rural (% of rural population) SHH2OBASWRUZS
  • People using at least basic drinking water services, urban (% of urban population) SHH2OBASWURZS
  • People using at least basic sanitation services, urban (% of urban population) SHSTABASSURZS
  • Surface area (sq. km) AGSRFTOTLK2
  • Total greenhouse gas emissions excluding LULUCF (% change from 1990) ENGHGTOTZGAR5
  • Total greenhouse gas emissions excluding LULUCF (Mt CO2e) ENGHGALLMTCEAR5
  • Total greenhouse gas emissions excluding LULUCF per capita (t CO2e/capita) ENGHGALLPCCEAR5
  • Water productivity, total (constant 2015 US$ GDP per cubic meter of total freshwater withdrawal) ERGDPFWTLM3KD

External Debt WB_DEBT

  • Debt service (PPG and IMF only, % of exports of goods, services and primary income) DTTDSDPPFXPZS
  • GNI (current US$) NYGNPMKTPCD
  • Multilateral debt service (% of public and publicly guaranteed debt service) DTTDSMLATPGZS
  • Personal remittances, received (current US$) BXTRFPWKRCDDT
  • Public and publicly guaranteed debt service (% of GNI) DTTDSDPPGGNZS
  • Public and publicly guaranteed debt service (% of exports of goods, services and primary income) DTTDSDPPGXPZS
  • Short-term debt (% of total external debt) DTDODDSTCZS
  • Total reserves (includes gold, current US$) FIRESTOTLCD

Financial Sector WB_FINANCE

  • Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) FXOWNTOTLZS
  • Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) FXOWNTOTLFEZS
  • Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+) FXOWNTOTLMAZS
  • Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+) FXOWNTOTLOLZS
  • Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+) FXOWNTOTL40ZS
  • Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+) FXOWNTOTLPLZS
  • Account ownership at a financial institution or with a mobile-money-service provider, richest 60% (% of population ages 15+) FXOWNTOTL60ZS
  • Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+) FXOWNTOTLSOZS
  • Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24) FXOWNTOTLYGZS
  • Automated teller machines (ATMs) (per 100,000 adults) FBATMTOTLP5
  • Claims on central government, etc. (% GDP) FSASTCGOVGDZS
  • Consumer price index (2010 = 100) FPCPITOTL
  • Deposit interest rate (%) FRINRDPST
  • Financial system deposits to GDP (%) GFDDDI08
  • Foreign direct investment, net outflows (BoP, current US$) BMKLTDINVCDWD
  • Gross portfolio debt liabilities to GDP (%) GFDDDM10
  • Inflation, GDP deflator: linked series (annual %) NYGDPDEFLKDZGAD
  • International debt issues to GDP (%) GFDDDM07
  • Monetary Sector credit to private sector (% GDP) FMASTPRVTGDZS
  • Nonbank financial institutions’ assets to GDP (%) GFDDDI03
  • Official exchange rate (LCU per US$, period average) PANUSFCRF
  • Outstanding domestic private debt securities to GDP (%) GFDDDM03
  • Outstanding domestic public debt securities to GDP (%) GFDDDM04
  • Outstanding international private debt securities to GDP (%) GFDDDM05
  • Outstanding international public debt securities to GDP (%) GFDDDM06
  • Personal remittances, received (% of GDP) BXTRFPWKRDTGDZS
  • Private credit by deposit money banks and other financial institutions to GDP (%) GFDDDI12
  • Real effective exchange rate index (2010 = 100) PXREXREER
  • Real interest rate (%) FRINRRINR
  • Remittance inflows to GDP (%) GFDDOI13
  • Total reserves minus gold (current US$) FIRESXGLDCD

Gender WB_GENDER

  • Contributing family workers, female (% of female employment) (modeled ILO estimate) SLFAMWORKFEZS
  • Contributing family workers, male (% of male employment) (modeled ILO estimate) SLFAMWORKMAZS
  • Employers, female (% of female employment) (modeled ILO estimate) SLEMPMPYRFEZS
  • Employers, male (% of male employment) (modeled ILO estimate) SLEMPMPYRMAZS
  • Fertility rate, total (births per woman) SPDYNTFRTIN
  • Labor force, female (% of total labor force) SLTLFTOTLFEZS
  • Lifetime risk of maternal death (%) SHMMRRISKZS
  • Lifetime risk of maternal death (1 in: rate varies by country) SHMMRRISK
  • Literacy rate, adult female (% of females ages 15 and above) SEADTLITRFEZS
  • Maternal mortality ratio (modeled estimate, per 100,000 live births) SHSTAMMRT
  • Mortality rate, adult, female (per 1,000 female adults) SPDYNAMRTFE
  • Mortality rate, adult, male (per 1,000 male adults) SPDYNAMRTMA
  • Self-employed, female (% of female employment) (modeled ILO estimate) SLEMPSELFFEZS
  • Self-employed, male (% of male employment) (modeled ILO estimate) SLEMPSELFMAZS
  • Survival to age 65, female (% of cohort) SPDYNTO65FEZS
  • Survival to age 65, male (% of cohort) SPDYNTO65MAZS
  • Wage and salaried workers, female (% of female employment) (modeled ILO estimate) SLEMPWORKFEZS
  • Wage and salaried workers, male (% of male employment) (modeled ILO estimate) SLEMPWORKMAZS
  • Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49) SGDMKSRCRFNZS
  • Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49) SGDMKALLDFNZS

Health WB_HEALTH

  • ARI treatment (% of children under 5 taken to a health provider) SHSTAARICZS
  • Age dependency ratio (% of working-age population) SPPOPDPND
  • Age dependency ratio, old (% of working-age population) SPPOPDPNDOL
  • Age dependency ratio, young (% of working-age population) SPPOPDPNDYG
  • Birth rate, crude (per 1,000 people) SPDYNCBRTIN
  • Births attended by skilled health staff (% of total) SHSTABRTCZS
  • Condom use, population ages 15-24, female (% of females ages 15-24) SHCON1524FEZS
  • Condom use, population ages 15-24, male (% of males ages 15-24) SHCON1524MAZS
  • Current health expenditure (% of GDP) SHXPDCHEXGDZS
  • Current health expenditure per capita (current US$) SHXPDCHEXPCCD
  • Current health expenditure per capita, PPP (current international $) SHXPDCHEXPPCD
  • Death rate, crude (per 1,000 people) SPDYNCDRTIN
  • Diabetes prevalence (% of population ages 20 to 79) SHSTADIABZS
  • Domestic general government health expenditure (% of GDP) SHXPDGHEDGDZS
  • Domestic general government health expenditure (% of current health expenditure) SHXPDGHEDCHZS
  • Domestic general government health expenditure (% of general government expenditure) SHXPDGHEDGEZS
  • Domestic general government health expenditure per capita (current US$) SHXPDGHEDPCCD
  • Domestic general government health expenditure per capita, PPP (current international $) SHXPDGHEDPPCD
  • Domestic private health expenditure (% of current health expenditure) SHXPDPVTDCHZS
  • Domestic private health expenditure per capita (current US$) SHXPDPVTDPCCD
  • Domestic private health expenditure per capita, PPP (current international $) SHXPDPVTDPPCD
  • External health expenditure (% of current health expenditure) SHXPDEHEXCHZS
  • External health expenditure per capita (current US$) SHXPDEHEXPCCD
  • External health expenditure per capita, PPP (current international $) SHXPDEHEXPPCD
  • Health expenditure, private (% of total health expenditure) SHXPDPRIV
  • Immunization, DPT (% of children ages 12-23 months) SHIMMIDPT
  • Immunization, measles (% of children ages 12-23 months) SHIMMMEAS
  • Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line) SHUHCNOP1ZG
  • Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD) SHUHCNOP1CG
  • Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (% of poverty line) SHUHCNOP2ZG
  • Increase in poverty gap at $3.20 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure (USD) SHUHCNOP2CG
  • Life expectancy at birth, total (years) SPDYNLE00IN
  • Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population) SHSTAWASHP5
  • Mortality rate, infant (per 1,000 live births) SPDYNIMRTIN
  • Mortality rate, infant, female (per 1,000 live births) SPDYNIMRTFEIN
  • Mortality rate, infant, male (per 1,000 live births) SPDYNIMRTMAIN
  • Mortality rate, neonatal (per 1,000 live births) SHDYNNMRT
  • Mortality rate, under-5 (per 1,000 live births) SHDYNMORT
  • Mortality rate, under-5, female (per 1,000 live births) SHDYNMORTFE
  • Mortality rate, under-5, male (per 1,000 live births) SHDYNMORTMA
  • Number of infant deaths SHDTHIMRT
  • Number of maternal deaths SHMMRDTHS
  • Number of neonatal deaths SHDTHNMRT
  • Number of people pushed below the $2.15 ($ 2017 PPP) poverty line by out-of-pocket health care expenditure SHUHCNOP1TO
  • Number of people pushed below the $3.65 ($ 2017 PPP) poverty line by out-of-pocket health care expenditure SHUHCNOP2TO
  • Number of people spending more than 10% of household consumption or income on out-of-pocket health care expenditure SHUHCOOPC10TO
  • Number of people spending more than 25% of household consumption or income on out-of-pocket health care expenditure SHUHCOOPC25TO
  • Number of under-five deaths SHDTHMORT
  • Out-of-pocket expenditure (% of current health expenditure) SHXPDOOPCCHZS
  • Out-of-pocket expenditure per capita (current US$) SHXPDOOPCPCCD
  • Out-of-pocket expenditure per capita, PPP (current international $) SHXPDOOPCPPCD
  • People using at least basic drinking water services (% of population) SHH2OBASWZS
  • People using at least basic sanitation services (% of population) SHSTABASSZS
  • People using safely managed drinking water services (% of population) SHH2OSMDWZS
  • People using safely managed sanitation services (% of population) SHSTASMSSZS
  • Population ages 0-14, female SPPOP0014FEIN
  • Population ages 0-14, female (% of female population) SPPOP0014FEZS
  • Population ages 0-14, male SPPOP0014MAIN
  • Population ages 0-14, male (% of male population) SPPOP0014MAZS
  • Population ages 0-14, total SPPOP0014TO
  • Population ages 00-04, female (% of female population) SPPOP0004FE5Y
  • Population ages 00-04, male (% of male population) SPPOP0004MA5Y
  • Population ages 05-09, female (% of female population) SPPOP0509FE5Y
  • Population ages 05-09, male (% of male population) SPPOP0509MA5Y
  • Population ages 10-14, female (% of female population) SPPOP1014FE5Y
  • Population ages 10-14, male (% of male population) SPPOP1014MA5Y
  • Population ages 15-19, female (% of female population) SPPOP1519FE5Y
  • Population ages 15-19, male (% of male population) SPPOP1519MA5Y
  • Population ages 15-64, female SPPOP1564FEIN
  • Population ages 15-64, female (% of female population) SPPOP1564FEZS
  • Population ages 15-64, male SPPOP1564MAIN
  • Population ages 15-64, male (% of male population) SPPOP1564MAZS
  • Population ages 15-64, total SPPOP1564TO
  • Population ages 20-24, female (% of female population) SPPOP2024FE5Y
  • Population ages 20-24, male (% of male population) SPPOP2024MA5Y
  • Population ages 25-29, female (% of female population) SPPOP2529FE5Y
  • Population ages 25-29, male (% of male population) SPPOP2529MA5Y
  • Population ages 30-34, female (% of female population) SPPOP3034FE5Y
  • Population ages 30-34, male (% of male population) SPPOP3034MA5Y
  • Population ages 35-39, female (% of female population) SPPOP3539FE5Y
  • Population ages 35-39, male (% of male population) SPPOP3539MA5Y
  • Population ages 40-44, female (% of female population) SPPOP4044FE5Y
  • Population ages 40-44, male (% of male population) SPPOP4044MA5Y
  • Population ages 45-49, female (% of female population) SPPOP4549FE5Y
  • Population ages 45-49, male (% of male population) SPPOP4549MA5Y
  • Population ages 50-54, female (% of female population) SPPOP5054FE5Y
  • Population ages 50-54, male (% of male population) SPPOP5054MA5Y
  • Population ages 55-59, female (% of female population) SPPOP5559FE5Y
  • Population ages 55-59, male (% of male population) SPPOP5559MA5Y
  • Population ages 60-64, female (% of female population) SPPOP6064FE5Y
  • Population ages 60-64, male (% of male population) SPPOP6064MA5Y
  • Population ages 65 and above (% of total population) SPPOP65UPTOZS
  • Population ages 65 and above, female SPPOP65UPFEIN
  • Population ages 65 and above, female (% of female population) SPPOP65UPFEZS
  • Population ages 65 and above, male SPPOP65UPMAIN
  • Population ages 65 and above, male (% of male population) SPPOP65UPMAZS
  • Population ages 65 and above, total SPPOP65UPTO
  • Population ages 65-69, female (% of female population) SPPOP6569FE5Y
  • Population ages 65-69, male (% of male population) SPPOP6569MA5Y
  • Population ages 70-74, female (% of female population) SPPOP7074FE5Y
  • Population ages 70-74, male (% of male population) SPPOP7074MA5Y
  • Population ages 75-79, female (% of female population) SPPOP7579FE5Y
  • Population ages 75-79, male (% of male population) SPPOP7579MA5Y
  • Population ages 80 and above, female (% of female population) SPPOP80UPFE5Y
  • Population ages 80 and above, male (% of male population) SPPOP80UPMA5Y
  • Population, female SPPOPTOTLFEIN
  • Population, female (% of total population) SPPOPTOTLFEZS
  • Population, male SPPOPTOTLMAIN
  • Population, male (% of total population) SPPOPTOTLMAZS
  • Prevalence of moderate or severe food insecurity in the population (%) SNITKMSFIZS
  • Prevalence of severe food insecurity in the population (%) SNITKSVFIZS
  • Sex ratio at birth (male births per female births) SPPOPBRTHMF
  • Tuberculosis case detection rate (%, all forms) SHTBSDTECZS
  • Women’s share of population ages 15+ living with HIV (%) SHDYNAIDSFEZS

Infrastructure WB_INFRSTR

  • Air transport, freight (million ton-km) ISAIRGOODMTK1
  • Air transport, passengers carried ISAIRPSGR
  • Air transport, registered carrier departures worldwide ISAIRDPRT
  • Fixed broadband subscriptions ITNETBBND
  • Fixed broadband subscriptions (per 100 people) ITNETBBNDP2
  • Fixed telephone subscriptions ITMLTMAIN
  • Fixed telephone subscriptions (per 100 people) ITMLTMAINP2
  • ICT goods exports (% of total goods exports) TXVALICTGZSUN
  • ICT goods imports (% total goods imports) TMVALICTGZSUN
  • Individuals using the Internet (% of population) ITNETUSERZS
  • Investment in water and sanitation with private participation (current US$) IEPPIWATRCD
  • Mobile cellular subscriptions ITCELSETS
  • Mobile cellular subscriptions (per 100 people) ITCELSETSP2
  • Public private partnerships investment in water and sanitation (current US$) IEPPNWATRCD
  • Secure Internet servers ITNETSECR
  • Secure Internet servers (per 1 million people) ITNETSECRP6

Poverty WB_POVERTY

  • Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%) SISPRPC40ZG
  • Annualized average growth rate in per capita real survey mean consumption or income, total population (%) SISPRPCAPZG
  • Gini index SIPOVGINI
  • Labor Income Poverty Index 80LIPI
  • Multidimensional poverty headcount ratio, children (% of population ages 0-17) SIPOVMDIM17
  • Multidimensional poverty index (scale 0-1) SIPOVMDIMXQ
  • Population living in slums (% of urban population) ENPOPSLUMURZS
  • Poverty gap at $2.15 a day (2017 PPP) (%) SIPOVGAPS
  • Poverty gap at $3.65 a day (2017 PPP) (%) SIPOVLMICGP
  • Poverty gap at $6.85 a day (2017 PPP) (%) SIPOVUMICGP
  • Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population) SIPOVDDAY
  • Poverty headcount ratio at $3.65 a day (2017 PPP) (% of population) SIPOVLMIC
  • Poverty headcount ratio at $6.85 a day (2017 PPP) (% of population) SIPOVUMIC
  • Poverty headcount ratio at national poverty lines (% of population) SIPOVNAHC
  • Survey mean consumption or income per capita, bottom 40% of population (2017 PPP $ per day) SISPRPC40
  • Survey mean consumption or income per capita, total population (2017 PPP $ per day) SISPRPCAP

Private Sector WB_PRIVATE

  • Commercial service exports (current US$) TXVALSERVCDWT
  • Commercial service imports (current US$) TMVALSERVCDWT
  • Insurance and financial services (% of commercial service exports) TXVALINSFZSWT
  • Insurance and financial services (% of commercial service imports) TMVALINSFZSWT
  • Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) LPLPIINFRXQ
  • Merchandise exports by the reporting economy, residual (% of total merchandise exports) TXVALMRCHRSZS
  • Merchandise imports by the reporting economy, residual (% of total merchandise imports) TMVALMRCHRSZS
  • Merchandise trade (% of GDP) TGVALTOTLGDZS
  • Net barter terms of trade index (2015 = 100) TTPRIMRCHXDWD

Public Sector WB_PUBLIC

  • CPIA building human resources rating (1=low to 6=high) IQCPAHRESXQ
  • CPIA business regulatory environment rating (1=low to 6=high) IQCPABREGXQ
  • CPIA debt policy rating (1=low to 6=high) IQCPADEBTXQ
  • CPIA economic management cluster average (1=low to 6=high) IQCPAECONXQ
  • CPIA efficiency of revenue mobilization rating (1=low to 6=high) IQCPAREVNXQ
  • CPIA equity of public resource use rating (1=low to 6=high) IQCPAPRESXQ
  • CPIA financial sector rating (1=low to 6=high) IQCPAFINSXQ
  • CPIA fiscal policy rating (1=low to 6=high) IQCPAFISPXQ
  • CPIA gender equality rating (1=low to 6=high) IQCPAGNDRXQ
  • CPIA macroeconomic management rating (1=low to 6=high) IQCPAMACRXQ
  • CPIA policies for social inclusion/equity cluster average (1=low to 6=high) IQCPASOCIXQ
  • CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) IQCPAENVRXQ
  • CPIA property rights and rule-based governance rating (1=low to 6=high) IQCPAPROPXQ
  • CPIA quality of budgetary and financial management rating (1=low to 6=high) IQCPAFINQXQ
  • CPIA quality of public administration rating (1=low to 6=high) IQCPAPADMXQ
  • CPIA social protection rating (1=low to 6=high) IQCPAPROTXQ
  • CPIA structural policies cluster average (1=low to 6=high) IQCPASTRCXQ
  • CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) IQCPATRANXQ
  • Central government debt, total (current LCU) GCDODTOTLCN
  • Expense (% of GDP) GCXPNTOTLGDZS
  • Military expenditure (% of GDP) MSMILXPNDGDZS
  • Military expenditure (% of general government expenditure) MSMILXPNDZS
  • Military expenditure (current USD) MSMILXPNDCD
  • Revenue, excluding grants (% of GDP) GCREVXGRTGDZS
  • Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) IQSPIPIL1
  • Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100) IQSPIPIL3
  • Tax revenue (% of GDP) GCTAXTOTLGDZS
  • Taxes on exports (% of tax revenue) GCTAXEXPTZS
  • Taxes on goods and services (% value added of industry and services) GCTAXGSRVVAZS

Science & Technology WB_SCIENCE

  • Charges for the use of intellectual property, payments (BoP, current US$) BMGSRROYLCD
  • Charges for the use of intellectual property, receipts (BoP, current US$) BXGSRROYLCD
  • Patent applications, nonresidents IPPATNRES
  • Patent applications, residents IPPATRESD
  • Research and development expenditure (% of GDP) GBXPDRSDVGDZS
  • Researchers in R&D (per million people) SPPOPSCIERDP6
  • Scientific and technical journal articles IPJRNARTCSC

Social Development WB_SOCIAL_DEV

  • Adolescent fertility rate (births per 1,000 women ages 15-19) SPADOTFRT
  • Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate) SLTLFACTI1524FEZS
  • Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate) SLTLFACTI1524MAZS
  • Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate) SLTLFACTI1524ZS
  • Life expectancy at birth, female (years) SPDYNLE00FEIN
  • Life expectancy at birth, male (years) SPDYNLE00MAIN
  • Proportion of seats held by women in national parliaments (%) SGGENPARLZS
  • Vulnerable employment, female (% of female employment) (modeled ILO estimate) SLEMPVULNFEZS
  • Vulnerable employment, male (% of male employment) (modeled ILO estimate) SLEMPVULNMAZS

Social Protection & Labor WB_LABOUR

  • Adequacy of unemployment benefits and ALMP (% of total welfare of beneficiary households) PERLMALLLMADQPOPTOT
  • Benefit incidence of unemployment benefits and ALMP to poorest quintile (% of total U/ALMP benefits) PERLMALLLMBENQ1TOT
  • Child employment in agriculture (% of economically active children ages 7-14) SLAGR0714ZS
  • Child employment in agriculture, female (% of female economically active children ages 7-14) SLAGR0714FEZS
  • Child employment in agriculture, male (% of male economically active children ages 7-14) SLAGR0714MAZS
  • Child employment in manufacturing (% of economically active children ages 7-14) SLMNF0714ZS
  • Child employment in manufacturing, female (% of female economically active children ages 7-14) SLMNF0714FEZS
  • Child employment in manufacturing, male (% of male economically active children ages 7-14) SLMNF0714MAZS
  • Child employment in services (% of economically active children ages 7-14) SLSRV0714ZS
  • Child employment in services, female (% of female economically active children ages 7-14) SLSRV0714FEZS
  • Child employment in services, male (% of male economically active children ages 7-14) SLSRV0714MAZS
  • Contributing family workers, total (% of total employment) (modeled ILO estimate) SLFAMWORKZS
  • Coverage of unemployment benefits and ALMP (% of population) PERLMALLLMCOVPOPTOT
  • Coverage of unemployment benefits and ALMP in 2nd quintile (% of population) PERLMALLLMCOVQ2TOT
  • Coverage of unemployment benefits and ALMP in 3rd quintile (% of population) PERLMALLLMCOVQ3TOT
  • Coverage of unemployment benefits and ALMP in 4th quintile (% of population) PERLMALLLMCOVQ4TOT
  • Coverage of unemployment benefits and ALMP in poorest quintile (% of population) PERLMALLLMCOVQ1TOT
  • Coverage of unemployment benefits and ALMP in richest quintile (% of population) PERLMALLLMCOVQ5TOT
  • Employers, total (% of total employment) (modeled ILO estimate) SLEMPMPYRZS
  • Employment in industry (% of total employment) (modeled ILO estimate) SLINDEMPLZS
  • Employment in industry, female (% of female employment) (modeled ILO estimate) SLINDEMPLFEZS
  • Employment in industry, male (% of male employment) (modeled ILO estimate) SLINDEMPLMAZS
  • Employment in services (% of total employment) (modeled ILO estimate) SLSRVEMPLZS
  • Employment in services, female (% of female employment) (modeled ILO estimate) SLSRVEMPLFEZS
  • Employment in services, male (% of male employment) (modeled ILO estimate) SLSRVEMPLMAZS
  • Employment to population ratio, 15+, female (%) (modeled ILO estimate) SLEMPTOTLSPFEZS
  • Employment to population ratio, 15+, female (%) (national estimate) SLEMPTOTLSPFENEZS
  • Employment to population ratio, 15+, male (%) (modeled ILO estimate) SLEMPTOTLSPMAZS
  • Employment to population ratio, 15+, male (%) (national estimate) SLEMPTOTLSPMANEZS
  • Employment to population ratio, 15+, total (%) (modeled ILO estimate) SLEMPTOTLSPZS
  • Employment to population ratio, 15+, total (%) (national estimate) SLEMPTOTLSPNEZS
  • Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate) SLEMP1524SPFEZS
  • Employment to population ratio, ages 15-24, female (%) (national estimate) SLEMP1524SPFENEZS
  • Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate) SLEMP1524SPMAZS
  • Employment to population ratio, ages 15-24, male (%) (national estimate) SLEMP1524SPMANEZS
  • Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) SLEMP1524SPZS
  • Employment to population ratio, ages 15-24, total (%) (national estimate) SLEMP1524SPNEZS
  • Female share of employment in senior and middle management (%) SLEMPSMGTFEZS
  • GDP per person employed (constant 2021 PPP $) SLGDPPCAPEMKD
  • Gini inequality index reduction (%) – Active Labor Market PERLMACGINITOT
  • Gini inequality index reduction (%) – Active Labor Market -rural PERLMACGINIRUR
  • Gini inequality index reduction (%) – Active Labor Market -urban PERLMACGINIURB
  • Gini inequality index reduction (%) – All Labor Market PERLMALLLMGINITOT
  • Gini inequality index reduction (%) – All Labor Market -rural PERLMALLLMGINIRUR
  • Gini inequality index reduction (%) – All Labor Market -urban PERLMALLLMGINIURB
  • Gini inequality index reduction (%) – All Social Assistance PERSAALLSAGINITOT
  • Gini inequality index reduction (%) – All Social Assistance -rural PERSAALLSAGINIRUR
  • Gini inequality index reduction (%) – All Social Assistance -urban PERSAALLSAGINIURB
  • Gini inequality index reduction (%) – All Social Insurance PERSIALLSIGINITOT
  • Gini inequality index reduction (%) – All Social Insurance -rural PERSIALLSIGINIRUR
  • Gini inequality index reduction (%) – All Social Insurance -urban PERSIALLSIGINIURB
  • Gini inequality index reduction (%) – Domestic Private Transfers PERPRDPGINITOT
  • Gini inequality index reduction (%) – Domestic Private Transfers -rural PERPRDPGINIRUR
  • Gini inequality index reduction (%) – Domestic Private Transfers -urban PERPRDPGINIURB
  • Gini inequality index reduction (%) – In-Kind PERSAIKGINITOT
  • Gini inequality index reduction (%) – In-Kind -rural PERSAIKGINIRUR
  • Gini inequality index reduction (%) – In-Kind -urban PERSAIKGINIURB
  • Gini inequality index reduction (%) – International Private Transfers PERPRIPGINITOT
  • Gini inequality index reduction (%) – International Private Transfers -rural PERPRIPGINIRUR
  • Gini inequality index reduction (%) – International Private Transfers -urban PERPRIPGINIURB
  • Gini inequality index reduction (%) – Other Social Insurance PERSISSGINITOT
  • Gini inequality index reduction (%) – Other Social Insurance -rural PERSISSGINIRUR
  • Gini inequality index reduction (%) – Other Social Insurance -urban PERSISSGINIURB
  • Gini inequality index reduction (%) – Public Works PERSAPWGINITOT
  • Gini inequality index reduction (%) – Public Works -rural PERSAPWGINIRUR
  • Gini inequality index reduction (%) – Public Works -urban PERSAPWGINIURB
  • Gini inequality index reduction (%) – School-feeding PERSASFGINITOT
  • Gini inequality index reduction (%) – School-feeding -rural PERSASFGINIRUR
  • Gini inequality index reduction (%) – School-feeding -urban PERSASFGINIURB
  • Gini inequality index reduction (%) – Social Pension PERSASPGINITOT
  • Gini inequality index reduction (%) – Social Pension -urban PERSASPGINIURB
  • Gini inequality index reduction (%) – Social Pension-rural PERSASPGINIRUR
  • Gini inequality index reduction (%) – Unconditional Cash Transfers PERSACTGINITOT
  • Gini inequality index reduction (%) – Unconditional Cash Transfers -rural PERSACTGINIRUR
  • Gini inequality index reduction (%) – Unconditional Cash Transfers -urban PERSACTGINIURB
  • Gini inequality index reduction (%) – All Social Protection and Labor PERALLSPGINITOT
  • Gini inequality index reduction (%) – All Social Protection and Labor -rural PERALLSPGINIRUR
  • Gini inequality index reduction (%) – All Social Protection and Labor -urban PERALLSPGINIURB
  • Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) SLTLFCACTFEZS
  • Labor force participation rate, female (% of female population ages 15+) (national estimate) SLTLFCACTFENEZS
  • Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate) SLTLFACTIFEZS
  • Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) SLTLFCACTMAZS
  • Labor force participation rate, male (% of male population ages 15+) (national estimate) SLTLFCACTMANEZS
  • Labor force participation rate, male (% of male population ages 15-64) (modeled ILO estimate) SLTLFACTIMAZS
  • Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) SLTLFCACTZS
  • Labor force participation rate, total (% of total population ages 15+) (national estimate) SLTLFCACTNEZS
  • Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate) SLTLFACTIZS
  • Labor force with advanced education (% of total working-age population with advanced education) SLTLFADVNZS
  • Labor force with advanced education, female (% of female working-age population with advanced education) SLTLFADVNFEZS
  • Labor force with advanced education, male (% of male working-age population with advanced education) SLTLFADVNMAZS
  • Labor force with basic education (% of total working-age population with basic education) SLTLFBASCZS
  • Labor force with basic education, female (% of female working-age population with basic education) SLTLFBASCFEZS
  • Labor force with basic education, male (% of male working-age population with basic education) SLTLFBASCMAZS
  • Labor force with intermediate education (% of total working-age population with intermediate education) SLTLFINTMZS
  • Labor force with intermediate education, female (% of female working-age population with intermediate education) SLTLFINTMFEZS
  • Labor force with intermediate education, male (% of male working-age population with intermediate education) SLTLFINTMMAZS
  • Ratio of female to male labor force participation rate (%) (modeled ILO estimate) SLTLFCACTFMZS
  • Self-employed, total (% of total employment) (modeled ILO estimate) SLEMPSELFZS
  • Share of youth not in education, employment or training, female (% of female youth population) SLUEMNEETFEZS
  • Share of youth not in education, employment or training, female (% of female youth population) (modeled ILO estimate) SLUEMNEETFEMEZS
  • Share of youth not in education, employment or training, male (% of male youth population) SLUEMNEETMAZS
  • Share of youth not in education, employment or training, male (% of male youth population) (modeled ILO estimate) SLUEMNEETMAMEZS
  • Share of youth not in education, employment or training, total (% of youth population) SLUEMNEETZS
  • Share of youth not in education, employment or training, total (% of youth population) (modeled ILO estimate) SLUEMNEETMEZS
  • Unemployment with advanced education (% of total labor force with advanced education) SLUEMADVNZS
  • Unemployment with advanced education, female (% of female labor force with advanced education) SLUEMADVNFEZS
  • Unemployment with advanced education, male (% of male labor force with advanced education) SLUEMADVNMAZS
  • Unemployment with basic education (% of total labor force with basic education) SLUEMBASCZS
  • Unemployment with basic education, female (% of female labor force with basic education) SLUEMBASCFEZS
  • Unemployment with basic education, male (% of male labor force with basic education) SLUEMBASCMAZS
  • Unemployment with intermediate education (% of total labor force with intermediate education) SLUEMINTMZS
  • Unemployment with intermediate education, female (% of female labor force with intermediate education) SLUEMINTMFEZS
  • Unemployment with intermediate education, male (% of male labor force with intermediate education) SLUEMINTMMAZS
  • Unemployment with secondary education (% of total unemployment) SLUEMSECOZS
  • Unemployment, female (% of female labor force) (national estimate) SLUEMTOTLFENEZS
  • Unemployment, male (% of male labor force) (national estimate) SLUEMTOTLMANEZS
  • Unemployment, total (% of total labor force) (national estimate) SLUEMTOTLNEZS
  • Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate) SLUEM1524FEZS
  • Unemployment, youth female (% of female labor force ages 15-24) (national estimate) SLUEM1524FENEZS
  • Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate) SLUEM1524MAZS
  • Unemployment, youth male (% of male labor force ages 15-24) (national estimate) SLUEM1524MANEZS
  • Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate) SLUEM1524ZS
  • Unemployment, youth total (% of total labor force ages 15-24) (national estimate) SLUEM1524NEZS
  • Wage and salaried workers, total (% of total employment) (modeled ILO estimate) SLEMPWORKZS

Trade WB_TRADE

  • Agricultural raw materials exports (% of merchandise exports) TXVALAGRIZSUN
  • Agricultural raw materials imports (% of merchandise imports) TMVALAGRIZSUN
  • Arms imports (SIPRI trend indicator values) MSMILMPRTKD
  • Export unit value index (2015 = 100) TXUVIMRCHXDWD
  • Export value index (2015 = 100) TXVALMRCHXDWD
  • Export volume index (2015 = 100) TXQTYMRCHXDWD
  • Food exports (% of merchandise exports) TXVALFOODZSUN
  • Food imports (% of merchandise imports) TMVALFOODZSUN
  • Fuel exports (% of merchandise exports) TXVALFUELZSUN
  • Fuel imports (% of merchandise imports) TMVALFUELZSUN
  • Goods exports (BoP, current US$) BXGSRMRCHCD
  • Goods imports (BoP, current US$) BMGSRMRCHCD
  • Import value index (2015 = 100) TMVALMRCHXDWD
  • Import volume index (2015 = 100) TMQTYMRCHXDWD
  • Manufactures exports (% of merchandise exports) TXVALMANFZSUN
  • Manufactures imports (% of merchandise imports) TMVALMANFZSUN
  • Merchandise exports (current US$) TXVALMRCHCDWT
  • Merchandise exports by the reporting economy (current US$) TXVALMRCHWLCD
  • Merchandise exports to high-income economies (% of total merchandise exports) TXVALMRCHHIZS
  • Merchandise imports (current US$) TMVALMRCHCDWT
  • Merchandise imports by the reporting economy (current US$) TMVALMRCHWLCD
  • Merchandise imports from high-income economies (% of total merchandise imports) TMVALMRCHHIZS
  • Merchandise imports from low- and middle-income economies outside region (% of total merchandise imports) TMVALMRCHORZS
  • Ores and metals exports (% of merchandise exports) TXVALMMTLZSUN
  • Ores and metals imports (% of merchandise imports) TMVALMMTLZSUN

Urban Development WB_URBAN

  • PM2.5 air pollution, mean annual exposure (micrograms per cubic meter) ENATMPM25MCM3
  • PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total) ENATMPM25MCZS
  • Population in the largest city (% of urban population) ENURBLCTYURZS
  • Population in urban agglomerations of more than 1 million ENURBMCTY
  • Urban population SPURBTOTL

Global Economic Monitor WB_GEM

  • CPI Price, % y-o-y, nominal, seas. adj. CPTOTSAXNZGY
  • CPI Price, nominal CPTOTNSXN
  • CPI Price, nominal, seas. adj. CPTOTSAXN
  • Core CPI,not seas.adj,,, CORENS
  • Core CPI,seas.adj,,, CORESA
  • Exchange rate, new LCU per USD extended backward, period average DPANUSSPB
  • Exchange rate, old LCU per USD extended forward, period average DPANUSSPF
  • Exports Merchandise, Customs, Price, US$ DXGSRMRCHNSXD
  • Exports Merchandise, Customs, Price, US$, seas. adj. DXGSRMRCHSAXD
  • Exports Merchandise, Customs, constant US$, millions DXGSRMRCHNSKD
  • Exports Merchandise, Customs, constant US$, millions, seas. adj. DXGSRMRCHSAKD
  • Exports Merchandise, Customs, current US$, millions DXGSRMRCHNSCD
  • Exports Merchandise, Customs, current US$, millions, seas. adj. DXGSRMRCHSACD
  • Foreign Reserves, Months Import Cover, Goods IMPCOV
  • GDP,constant 2010 LCU,millions,seas. adj., NYGDPMKTPSAKN
  • GDP,constant 2010 US$,millions,seas. adj., NYGDPMKTPSAKD
  • GDP,current LCU,millions,seas. adj., NYGDPMKTPSACN
  • GDP,current US$,millions,seas. adj., NYGDPMKTPSACD
  • Imports Merchandise, Customs, Price, US$ DMGSRMRCHNSXD
  • Imports Merchandise, Customs, Price, US$, seas. adj. DMGSRMRCHSAXD
  • Imports Merchandise, Customs, constant US$, millions DMGSRMRCHNSKD
  • Imports Merchandise, Customs, constant US$, millions, seas. adj. DMGSRMRCHSAKD
  • Imports Merchandise, Customs, current US$, millions DMGSRMRCHNSCD
  • Industrial Production, constant US$ IPTOTNSKD
  • Industrial Production, constant US$, seas. adj. IPTOTSAKD
  • Nominal Effective Exchange Rate NEER
  • Official exchange rate, LCU per USD, period average DPANUSLCU
  • Real Effective Exchange Rate REER
  • Retail Sales Volume,Index,,, RETSALESSA
  • Stock Markets, LCU DSTKMKTXN
  • Stock Markets, US$ DSTKMKTXD
  • Total Reserves TOTRESV

2. Country

The country is the second dimension in the series key, using the ISO two-character code. Please click on this paragraph to see the list of the 101 countries we have loaded, and the World Bank’s world and regional aggregates.
  1. United Arab Emirates (The) AE
  2. Angola AO
  3. Argentina AR
  4. Austria AT
  5. Australia AU
  6. Azerbaijan AZ
  7. Bangladesh BD
  8. Belgium BE
  9. Bulgaria BG
  10. Bahrain BH
  11. Bolivia (Plurinational State Of) BO
  12. Brazil BR
  13. Belarus BY
  14. Canada CA
  15. Congo (The Democratic Republic Of The) CD
  16. Switzerland CH
  17. Côte D’ivoire CI
  18. Chile CL
  19. Cameroon CM
  20. China CN
  21. Colombia CO
  22. Costa Rica CR
  23. Czech Republic (The) CZ
  24. Germany DE
  25. Denmark DK
  26. Dominican Republic (The) DO
  27. Algeria DZ
  28. Ecuador EC
  29. Egypt EG
  30. Spain ES
  31. Ethiopia ET
  32. Finland FI
  33. France FR
  34. United Kingdom Of Great Britain and Northern Ireland (The) GB
  35. Georgia GE
  36. Ghana GH
  37. Greece GR
  38. Guatemala GT
  39. Hong Kong HK
  40. Croatia HR
  41. Hungary HU
  42. Indonesia ID
  43. Ireland IE
  44. Israel IL
  45. India IN
  46. Iraq IQ
  47. Iran (Islamic Republic Of) IR
  48. Italy IT
  49. Jordan JO
  50. Japan JP
  51. Kenya KE
  52. Cambodia KH
  53. Korea (The Republic Of) KR
  54. Kuwait KW
  55. Kazakhstan KZ
  56. Sri Lanka LK
  57. Lithuania LT
  58. Luxembourg LU
  59. Libya LY
  60. Morocco MA
  61. Myanmar MM
  62. Mexico MX
  63. Malaysia MY
  64. Nigeria NG
  65. Netherlands (The) NL
  66. Norway NO
  67. Nepal NP
  68. New Zealand NZ
  69. Oman OM
  70. Panama PA
  71. Peru PE
  72. Philippines (The) PH
  73. Pakistan PK
  74. Poland PL
  75. Puerto Rico PR
  76. Portugal PT
  77. Paraguay PY
  78. Qatar QA
  79. Romania RO
  80. Serbia RS
  81. Russian Federation (The) RU
  82. Saudi Arabia SA
  83. Sudan (The) SD
  84. Sweden SE
  85. Singapore SG
  86. Slovenia SI
  87. Slovakia SK
  88. Syrian Arab Republic SY
  89. Eswatini SZ
  90. Thailand TH
  91. Turkmenistan TM
  92. Tunisia TN
  93. Turkey TR
  94. Tanzania, United Republic Of TZ
  95. Ukraine UA
  96. Uganda UG
  97. United States Of America (The) US
  98. Uruguay UY
  99. Uzbekistan UZ
  100. VietNam VN
  101. South Africa (The Republic Of) ZA

World and regional aggregates

Alongside the individual countries, we publish the World Bank’s own aggregates — the world total, the geographic regions, income groups, and lending categories. These use the same second dimension, so NYGDPMKTPCD.1W is world GDP.

  1. Arab World 1A
  2. World 1W
  3. East Asia & Pacific (excluding high income) 4E
  4. IDA countries classified as fragile situations, excluding Sub-Saharan Africa 6F
  5. IDA countries not classified as fragile situations, excluding Sub-Saharan Africa 6N
  6. Non-resource rich Sub-Saharan Africa countries 6X
  7. Europe & Central Asia (excluding high income) 7E
  8. South Asia 8S
  9. Sub-Saharan Africa excluding South Africa A4
  10. Sub-Saharan Africa excluding South Africa and Nigeria A5
  11. Africa A9
  12. IBRD countries classified as high income B1
  13. Latin America & the Caribbean (IBRD-only countries) B2
  14. Middle East, North Africa, Afghanistan & Pakistan (IBRD only) B3
  15. East Asia & Pacific (IBRD-only countries) B4
  16. Sub-Saharan Africa (IBRD-only countries) B6
  17. Europe & Central Asia (IBRD-only countries) B7
  18. Central Europe and the Baltics B8
  19. East Asia and the Pacific (IFC classification) C4
  20. Europe and Central Asia (IFC classification) C5
  21. Latin America and the Caribbean (IFC classification) C6
  22. Middle East and North Africa (IFC classification) C7
  23. South Asia (IFC classification) C8
  24. Sub-Saharan Africa (IFC classification) C9
  25. Latin America & the Caribbean (IDA-eligible countries) D2
  26. Middle East, North Africa, Afghanistan & Pakistan (IDA total) D3
  27. East Asia & Pacific (IDA-eligible countries) D4
  28. South Asia (IDA-eligible countries) D5
  29. Sub-Saharan Africa (IDA-eligible countries) D6
  30. Europe & Central Asia (IDA-eligible countries) D7
  31. European Union EU
  32. IDA countries in Sub-Saharan Africa classified as fragile situations F6
  33. Middle East (developing only) M1
  34. North Africa M2
  35. IDA countries in Sub-Saharan Africa not classified as fragile situations N6
  36. OECD members OE
  37. Resource rich Sub-Saharan Africa countries R6
  38. Small states S1
  39. Pacific island small states S2
  40. Caribbean small states S3
  41. Other small states S4
  42. Latin America & the Caribbean (IDA & IBRD countries) T2
  43. Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) T3
  44. East Asia & Pacific (IDA & IBRD countries) T4
  45. South Asia (IDA & IBRD) T5
  46. Sub-Saharan Africa (IDA & IBRD countries) T6
  47. Europe & Central Asia (IDA & IBRD countries) T7
  48. Pre-demographic dividend V1
  49. Early-demographic dividend V2
  50. Late-demographic dividend V3
  51. Post-demographic dividend V4
  52. Euro area XC
  53. High income XD
  54. Heavily indebted poor countries (HIPC) XE
  55. IBRD only XF
  56. IDA total XG
  57. IDA blend XH
  58. IDA only XI
  59. Latin America & Caribbean (excluding high income) XJ
  60. Least developed countries: UN classification XL
  61. Low income XM
  62. Lower middle income XN
  63. Low & middle income XO
  64. Middle income XP
  65. Middle East, North Africa, Afghanistan & Pakistan (excluding high income) XQ
  66. Upper middle income XT
  67. North America XU
  68. Not classified XY
  69. East Asia & Pacific Z4
  70. Europe & Central Asia Z7
  71. IBRD, including blend ZB
  72. Sub-Saharan Africa (excluding high income) ZF
  73. Sub-Saharan Africa ZG
  74. Africa Eastern and Southern ZH
  75. Africa Western and Central ZI
  76. Latin America & Caribbean ZJ
  77. Middle East, North Africa, Afghanistan & Pakistan ZQ
  78. IDA & IBRD total ZT

International Categories