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  • Updated December 6, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: place is_in source population name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: healthcare IS NOT NULL OR amenity IN ('doctors','dentist','clinic','hospital','pharmacy') Features may have these attributes: healthcare:speciality healthcare operator:type building amenity addr:full source name capacity:persons addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','subway','station') Features may have these attributes: layer operator:type addr:full ele railway source name addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: addr:full amenity operator source network name addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site' Features may have these attributes: capacity:persons operator:type building addr:full source emergency:helipad name emergency addr:city aeroway This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL Features may have these attributes: operator:type building amenity addr:full source name port addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 6, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: operator:type building amenity addr:full source name capacity:persons addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 500+ Downloads
    Updated December 6, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every day
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • 10+ Downloads
    Updated December 4, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: layer highway oneway surface smoothness width lanes bridge source name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated December 4, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: addr:street opening_hours amenity beds addr:full addr:housenumber rooms source man_made name tourism addr:city shop This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 4, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: tunnel layer depth covered water width source blockage waterway name natural This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated December 4, 2019 | Dataset date: Dec 6, 2019
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: office building:levels building:materials addr:street building addr:full addr:housenumber source name addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated December 3, 2019 | Dataset date: Dec 3, 2019
    This dataset updates: Every month
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 80+ Downloads
    Updated December 1, 2019 | Dataset date: Jan 1, 1999-Dec 31, 2018
    This dataset updates: Every year
    FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.
  • 100+ Downloads
    Updated November 22, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2026
    This dataset updates: Every year
    Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Climate Change, External Debt, Trade.
  • 2600+ Downloads
    Updated November 20, 2019 | Dataset date: Jan 1, 2011-Dec 31, 2018
    This dataset updates: Every year
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • Updated November 20, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2018
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Cities can be tremendously efficient. It is easier to provide water and sanitation to people living closer together, while access to health, education, and other social and cultural services is also much more readily available. However, as cities grow, the cost of meeting basic needs increases, as does the strain on the environment and natural resources. Data on urbanization, traffic and congestion, and air pollution are from the United Nations Population Division, World Health Organization, International Road Federation, World Resources Institute, and other sources. Indicators: Access to electricity, Mortality caused by road traffic injury, PM2.5 air pollution, Population density, Pump price for diesel fuel, Pump price for gasoline, Urban land area, Urban land area where elevation is below 5 meters, Urban population, Urban population growth, Urban population living in areas where elevation is below 5 meters
  • Updated November 20, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2019
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Trade is a key means to fight poverty and achieve the Millennium Development Goals, specifically by improving developing country access to markets, and supporting a rules based, predictable trading system. In cooperation with other international development partners, the World Bank launched the Transparency in Trade Initiative to provide free and easy access to data on country-specific trade policies. Indicators: Agricultural raw materials exports, Agricultural raw materials imports, Arms imports, Average time to clear exports through customs, Binding coverage, Bound rate, Commercial service exports, Commercial service imports, Communications, Computer, Cost to export, Cost to import, Customs and other import duties, Export value index, Export volume index, Exports as a capacity to import, Exports of goods, Exports of goods and services, External balance on goods and services, Food exports, Food imports, Fuel exports, Fuel imports, Goods exports, Goods imports, High-technology exports, ICT goods exports, ICT goods imports, ICT service exports, Import value index, Import volume index, Imports of goods, Imports of goods and services, Insurance and financial services, International tourism, Manufactures exports, Manufactures imports, Merchandise exports, Merchandise exports by the reporting economy, Merchandise exports to economies in the Arab World, Merchandise exports to high-income economies, Merchandise exports to low- and middle-income economies in East Asia & Pacific, Merchandise exports to low- and middle-income economies in Europe & Central Asia, Merchandise exports to low- and middle-income economies in Latin America & the Caribbean, Merchandise exports to low- and middle-income economies in Middle East & North Africa, Merchandise exports to low- and middle-income economies in South Asia, Merchandise exports to low- and middle-income economies in Sub-Saharan Africa, Merchandise exports to low- and middle-income economies outside region, Merchandise exports to low- and middle-income economies within region, Merchandise imports, Merchandise imports by the reporting economy, Merchandise imports from economies in the Arab World, Merchandise imports from high-income economies, Merchandise imports from low- and middle-income economies in East Asia & Pacific, Merchandise imports from low- and middle-income economies in Europe & Central Asia, Merchandise imports from low- and middle-income economies in Latin America & the Caribbean, Merchandise imports from low- and middle-income economies in Middle East & North Africa, Merchandise imports from low- and middle-income economies in South Asia, Merchandise imports from low- and middle-income economies in Sub-Saharan Africa, Merchandise imports from low- and middle-income economies outside region, Merchandise imports from low- and middle-income economies within region, Merchandise trade, Net barter terms of trade index, Net trade in goods, Net trade in goods and services, Ores and metals exports, Ores and metals imports, Service exports, Service imports, Share of tariff lines with international peaks, Share of tariff lines with specific rates, Tariff rate, Time to export, Time to import, Trade, Trade in services, Transport services, Travel services
  • Updated November 20, 2019 | Dataset date: Jan 1, 2002-Dec 31, 2013
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990. Indicators: GINI index, Income share held by fourth 20%, Income share held by highest 10%, Income share held by highest 20%, Income share held by lowest 10%, Income share held by lowest 20%, Income share held by second 20%, Income share held by third 20%, Poverty gap at $1.90 a day, Poverty gap at $3.20 a day, Poverty gap at $5.50 a day, Poverty headcount ratio at $1.90 a day, Poverty headcount ratio at $3.20 a day, Poverty headcount ratio at $5.50 a day, Poverty headcount ratio at national poverty lines
  • Updated November 20, 2019 | Dataset date: Jan 1, 1980-Dec 31, 2018
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Technological innovation, often fueled by governments, drives industrial growth and helps raise living standards. Data here aims to shed light on countries technology base: research and development, scientific and technical journal articles, high-technology exports, royalty and license fees, and patents and trademarks. Sources include the UNESCO Institute for Statistics, the U.S. National Science Board, the UN Statistics Division, the International Monetary Fund, and the World Intellectual Property Organization. Indicators: Charges for the use of intellectual property, High-technology exports, Patent applications, Scientific and technical journal articles, Trademark applications
  • Updated November 20, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2019
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Climate change is expected to hit developing countries the hardest. Its effects—higher temperatures, changes in precipitation patterns, rising sea levels, and more frequent weather-related disasters—pose risks for agriculture, food, and water supplies. At stake are recent gains in the fight against poverty, hunger and disease, and the lives and livelihoods of billions of people in developing countries. Addressing climate change requires unprecedented global cooperation across borders. The World Bank Group is helping support developing countries and contributing to a global solution, while tailoring our approach to the differing needs of developing country partners. Data here cover climate systems, exposure to climate impacts, resilience, greenhouse gas emissions, and energy use. Other indicators relevant to climate change are found under other data pages, particularly Environment, Agriculture & Rural Development, Energy & Mining, Health, Infrastructure, Poverty, and Urban Development. Indicators: Access to electricity, Agricultural land, Agriculture, Arable land, Average precipitation in depth, CO2 emissions, CO2 emissions from gaseous fuel consumption, CO2 emissions from liquid fuel consumption, CO2 emissions from solid fuel consumption, CO2 intensity, CPIA public sector management and institutions cluster average, Disaster risk reduction progress score, Droughts, Ease of doing business index, Energy use, Foreign direct investment, Forest area, GHG net emissions/removals by LUCF, Land area where elevation is below 5 meters, Marine protected areas, Methane emissions, Mortality rate, Nitrous oxide emissions, Other greenhouse gas emissions, Population, Population growth, Population living in areas where elevation is below 5 meters, Poverty headcount ratio at $1.90 a day, Prevalence of underweight, Primary completion rate, Renewable electricity output, Renewable energy consumption, Rural land area where elevation is below 5 meters, Rural population living in areas where elevation is below 5 meters, School enrollment, Terrestrial and marine protected areas, Terrestrial protected areas, Total greenhouse gas emissions, Urban land area where elevation is below 5 meters, Urban population, Urban population growth, Urban population living in areas where elevation is below 5 meters
  • Updated November 20, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2019
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Gender equality is a core development objective in its own right. It is also smart development policy and sound business practice. It is integral to economic growth, business growth and good development outcomes. Gender equality can boost productivity, enhance prospects for the next generation, build resilience, and make institutions more representative and effective. In December 2015, the World Bank Group Board discussed our new Gender Equality Strategy 2016-2023, which aims to address persistent gaps and proposed a sharpened focus on more and better gender data. The Bank Group is continually scaling up commitments and expanding partnerships to fill significant gaps in gender data. The database hosts the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency. Indicators: Adjusted net enrollment rate, Adolescent fertility rate, Age at first marriage, Age population, Births attended by skilled health staff, Cause of death, Children out of school, Contraceptive prevalence, Contributing family workers, Educational attainment, Employers, Employment in agriculture, Employment in industry, Employment in services, Employment to population ratio, Female migrants, Fertility rate, Firms with female participation in ownership, Gross intake ratio in first grade of primary education, Labor force, Labor force participation rate, Law mandates equal remuneration for females and males for work of equal value, Law mandates nondiscrimination based on gender in hiring, Law mandates paid or unpaid maternity leave, Law prohibits or invalidates child or early marriage, Legislation exists on domestic violence, Legislation explicitly criminalizes marital rape, Legislation specifically addresses sexual harassment, Life expectancy at age 60, Life expectancy at birth, Lifetime risk of maternal death, Literacy rate, Married men and married women have equal ownership rights to property, Married women are required by law to obey their husbands, Maternal mortality ratio, Maternity leave, Maternity leave benefits, Mortality rate, Mothers are guaranteed an equivalent position after maternity leave, Net intake rate in grade 1, Nondiscrimination clause mentions gender in the constitution, Nonpregnant and nonnursing women can do the same jobs as men, Own-account workers, Part time employment, Persistence to grade 5, Persistence to last grade of primary, Pregnant women receiving prenatal care, Prevalence of obesity, Primary completion rate, Primary education, Progression to secondary school, Proportion of seats held by women in national parliaments, Proportion of women in ministerial level positions, Proportion of women subjected to physical and/or sexual violence in the last 12 months, Ratio of female to male youth unemployment rate, Repeaters, Rural population, School enrollment, School life expectancy, Secondary education, Self-employed, Smoking prevalence, Survival to age 65, Time-related underemployment, Unemployment, Urban population, Vulnerable employment, Wage and salaried workers, Women who were first married by age 15, Women who were first married by age 18
  • Updated November 20, 2019 | Dataset date: Jan 1, 1961-Dec 31, 2019
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. The supply of labor available in an economy includes people who are employed, those who are unemployed but seeking work, and first-time job-seekers. Not everyone who works is included: unpaid workers, family workers, and students are often omitted, while some countries do not count members of the armed forces. Data on labor and employment are compiled by the International Labour Organization (ILO) from labor force surveys, censuses, establishment censuses and surveys, and administrative records such as employment exchange registers and unemployment insurance schemes. Indicators: Adequacy of benefits, Adequacy of benefits in 1st quintile, Adequacy of benefits in 2nd quintile, Adequacy of benefits in 3rd quintile, Adequacy of benefits in 4th quintile, Adequacy of benefits in 5th quintile, Adequacy of benefits in extreme poor, Adequacy of social insurance programs, Adequacy of social protection and labor programs, Average per capita transfer - All Social Insurance, Average per capita transfer - All Social Insurance -rural, Average per capita transfer - All Social Insurance -urban, Average per capita transfer - Domestic Private Transfers, Average per capita transfer - Domestic Private Transfers -rural, Average per capita transfer - Domestic Private Transfers -urban, Average per capita transfer -All Social Protection and Labor, Average per capita transfer -All Social Protection and Labor -rural, Average per capita transfer -All Social Protection and Labor -urban, Average per capita transfer held by 1st quintile, Average per capita transfer held by 2nd quintile - All Social Insurance, Average per capita transfer held by 2nd quintile - All Social Insurance -rural, Average per capita transfer held by 2nd quintile - All Social Insurance -urban, Average per capita transfer held by 2nd quintile - Domestic Private Transfers, Average per capita transfer held by 2nd quintile - Domestic Private Transfers -rural, Average per capita transfer held by 2nd quintile - Domestic Private Transfers -urban, Average per capita transfer held by 2nd quintile -All Social Protection and Labor, Average per capita transfer held by 2nd quintile -All Social Protection and Labor -rural, Average per capita transfer held by 2nd quintile -All Social Protection and Labor -urban, Average per capita transfer held by 3rd quintile - All Social Insurance, Average per capita transfer held by 3rd quintile - All Social Insurance -rural, Average per capita transfer held by 3rd quintile - All Social Insurance -urban, Average per capita transfer held by 3rd quintile - Domestic Private Transfers, Average per capita transfer held by 3rd quintile - Domestic Private Transfers -rural, Average per capita transfer held by 3rd quintile - Domestic Private Transfers -urban, Average per capita transfer held by 3rd quintile -All Social Protection and Labor, Average per capita transfer held by 3rd quintile -All Social Protection and Labor -rural, Average per capita transfer held by 3rd quintile -All Social Protection and Labor -urban, Average per capita transfer held by 4th quintile - All Social Insurance, Average per capita transfer held by 4th quintile - All Social Insurance -rural, Average per capita transfer held by 4th quintile - All Social Insurance -urban, Average per capita transfer held by 4th quintile - Domestic Private Transfers, Average per capita transfer held by 4th quintile - Domestic Private Transfers -rural, Average per capita transfer held by 4th quintile - Domestic Private Transfers -urban, Average per capita transfer held by 4th quintile -All Social Protection and Labor, Average per capita transfer held by 4th quintile -All Social Protection and Labor -rural, Average per capita transfer held by 4th quintile -All Social Protection and Labor -urban, Average per capita transfer held by 5th quintile, Average per capita transfer held by extreme poor, Beneficiary incidence in 1st quintile, Beneficiary incidence in 2nd quintile, Beneficiary incidence in 3rd quintile, Beneficiary incidence in 4th quintile, Beneficiary incidence in 5th quintile, Beneficiary incidence in extreme poor, Benefit incidence of social insurance programs to poorest quintile, Benefit incidence of social protection and labor programs to poorest quintile, Benefit-cost ratio - All Social Insurance - 1st quintile, Benefit-cost ratio - All Social Insurance -1st quintile, Benefit-cost ratio - All Social Insurance -extreme poor, Benefit-cost ratio - All Social Protection and Labor - 1st quintile, Benefit-cost ratio - All Social Protection and Labor -1st quintile, Benefit-cost ratio - All Social Protection and Labor -extreme poor, Benefit-cost ratio - Domestic Private Transfers - 1st quintile, Benefit-cost ratio - Domestic Private Transfers -1st quintile, Benefit-cost ratio - Domestic Private Transfers -extreme poor, Benefits incidence in 1st quintile, Benefits incidence in 2nd quintile, Benefits incidence in 3rd quintile, Benefits incidence in 4th quintile, Benefits incidence in 5th quintile, Benefits incidence in extreme poor, Contributing family workers, Coverage, Coverage in 1st quintile, Coverage in 2nd quintile, Coverage in 3rd quintile, Coverage in 4th quintile, Coverage in 5th quintile, Coverage in extreme poor, Coverage of social insurance programs, Coverage of social insurance programs in 2nd quintile, Coverage of social insurance programs in 3rd quintile, Coverage of social insurance programs in 4th quintile, Coverage of social insurance programs in poorest quintile, Coverage of social insurance programs in richest quintile, Coverage of social protection and labor programs, Employers, Employment in agriculture, Employment in industry, Employment in services, Employment to population ratio, Female share of employment in senior and middle management, GDP per person employed, Gini inequality index reduction, Informal employment, Labor force, Labor force participation rate, Labor force participation rate for ages 15-24, Labor force with advanced education, Labor force with basic education, Labor force with intermediate education, Part time employment, Population in extreme poor, Population in the 1st quintile, Population not receiving Social Protection, Population only receiving All Social Insurance, Population receiving only 1 program, Poverty Gap reduction, Poverty Headcount reduction, Ratio of female to male labor force participation rate, Self-employed, Share of youth not in education, Unemployment, Unemployment with advanced education, Unemployment with basic education, Unemployment with intermediate education, Vulnerable employment, Wage and salaried workers
  • Updated November 20, 2019 | Dataset date: Jan 1, 1961-Dec 31, 2026
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff. Indicators: Average grace period on new external debt commitments, Average grant element on new external debt commitments, Average interest on new external debt commitments, Average maturity on new external debt commitments, Commercial banks and other lending, Commitments, Concessional debt, Currency composition of PPG debt, Current account balance, Debt buyback, Debt forgiveness grants, Debt forgiveness or reduction, Debt service, Debt service on external debt, Debt stock reduction, Debt stock rescheduled, Disbursements on external debt, EBRD, Exports of goods, External debt stocks, Foreign direct investment, GG, GNI, Grants, IBRD loans and IDA credits, IDA grants, IFC, IMF charges, IMF purchases, IMF repurchases, IMF repurchases and charges, Imports of goods, Interest arrears, Interest forgiven, Interest payments on external debt, Interest rescheduled, Multilateral debt, Multilateral debt service, Net ODA received, Net ODA received per capita, Net change in interest arrears, Net financial flows, Net flows on external debt, Net official development assistance received, Net transfers on external debt, OPS, PNG, PPG, PRVG, PS, Personal remittances, Portfolio equity, Portfolio investment, Present value of external debt, Primary income on FDI, Principal arrears, Principal forgiven, Principal repayments on external debt, Principal rescheduled, Public and publicly guaranteed debt service, Residual, Short-term debt, Technical cooperation grants, Total amount of debt rescheduled, Total change in external debt stocks, Total debt service, Total reserves, Total reserves in months of imports, Undisbursed external debt, Use of IMF credit
  • Updated November 20, 2019 | Dataset date: Jan 1, 1988-Dec 31, 2019
    This dataset updates: Every year
    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX. Effective governments improve people's standard of living by ensuring access to essential services – health, education, water and sanitation, electricity, transport – and the opportunity to live and work in peace and security. Data here includes World Bank staff assessments of country performance in economic management, structural policies, policies for social inclusion and equity, and public sector management and institutions for the poorest countries. Also included are indicators on revenues and expenses from the International Monetary Fund's Government Finance Statistics, and on tax policies from various sources. Indicators: Arms imports, CPIA building human resources rating, CPIA business regulatory environment rating, CPIA debt policy rating, CPIA economic management cluster average, CPIA efficiency of revenue mobilization rating, CPIA equity of public resource use rating, CPIA financial sector rating, CPIA fiscal policy rating, CPIA gender equality rating, CPIA macroeconomic management rating, CPIA policies for social inclusion/equity cluster average, CPIA policy and institutions for environmental sustainability rating, CPIA property rights and rule-based governance rating, CPIA public sector management and institutions cluster average, CPIA quality of budgetary and financial management rating, CPIA quality of public administration rating, CPIA social protection rating, CPIA structural policies cluster average, CPIA trade rating, CPIA transparency, Compensation of employees, Customs and other import duties, Expense, Goods and services expense, Grants and other revenue, IDA resource allocation index, Intentional homicides, Interest payments, Internally displaced persons, Law mandates equal remuneration for females and males for work of equal value, Law mandates nondiscrimination based on gender in hiring, Law mandates paid or unpaid maternity leave, Law prohibits or invalidates child or early marriage, Legislation exists on domestic violence, Methodology assessment of statistical capacity, Mothers are guaranteed an equivalent position after maternity leave, Net acquisition of financial assets, Net incurrence of liabilities, Net lending, Nondiscrimination clause mentions gender in the constitution, Nonpregnant and nonnursing women can do the same jobs as men, Other expense, Other taxes, Periodicity and timeliness assessment of statistical capacity, Proportion of seats held by women in national parliaments, Public credit registry coverage, Revenue, Social contributions, Source data assessment of statistical capacity, Statistical Capacity score, Strength of legal rights index, Subsidies and other transfers, Tax payments, Tax revenue, Taxes on goods and services, Taxes on income, Taxes on international trade, Time to prepare and pay taxes, Total tax and contribution rate