Data Completeness
8/27 Core Data 28 Datasets 11 Organisations Show legend
What is Data Completeness?
Data Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
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Affected People
8 Datasets
Humanitarian Profile Locations
International Organization for Migration
Humanitarian Needs
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
3 Datasets
3w - Who is doing what where
Affected Areas
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Transportation Status
Damaged & Destroyed Buildings
Food Security & Nutrition
4 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
8 Datasets
Health & Education
4 Datasets
Health Facilities
Global Healthsites Mapping Project
Humanitarian OpenStreetMap Team (HOT)
Education Facilities
Humanitarian OpenStreetMap Team (HOT)
Affected Schools
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  • 10+ Downloads
    Updated January 30, 2020 | Dataset date: Jan 1, 1990-Dec 31, 2014
    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%, Population living in slums, Poverty gap at $1.90 a day, Poverty gap at $3.20 a day, Poverty gap at $5.50 a day, Poverty gap at national poverty lines, 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, Rural poverty gap at national poverty lines, Rural poverty headcount ratio at national poverty lines, Urban poverty gap at national poverty lines, Urban poverty headcount ratio at national poverty lines
  • Updated January 30, 2020 | Dataset date: Jan 1, 1972-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, Adequacy of social safety net programs, Average per capita transfer - All Social Assistance, Average per capita transfer - All Social Assistance -rural, Average per capita transfer - All Social Assistance -urban, 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 Assistance, Average per capita transfer held by 2nd quintile - All Social Assistance -urban, 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 Assistance, Average per capita transfer held by 3rd quintile - All Social Assistance -rural, Average per capita transfer held by 3rd quintile - All Social Assistance -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 Assistance, Average per capita transfer held by 4th quintile - All Social Assistance -rural, Average per capita transfer held by 4th quintile - All Social Assistance -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, Average working hours of children, 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 incidence of social safety net programs to poorest quintile, Benefit-cost ratio - All Social Assistance - 1st quintile, Benefit-cost ratio - All Social Assistance -1st quintile, Benefit-cost ratio - All Social Assistance -extreme poor, 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, Children in employment, 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, Coverage of social safety net programs, Coverage of social safety net programs in 2nd quintile, Coverage of social safety net programs in 3rd quintile, Coverage of social safety net programs in 4th quintile, Coverage of social safety net programs in poorest quintile, Coverage of social safety net programs in richest quintile, Employers, Employment in agriculture, Employment in industry, Employment in services, Employment to population ratio, GDP per person employed, Gini inequality index reduction, Labor force, Labor force participation rate, Labor force participation rate for ages 15-24, Population in extreme poor, Population in the 1st quintile, Population not receiving Social Protection, Population only receiving All Social Assistance, Population only receiving All Social Insurance, Population receiving 2 programs, Population receiving Social Assistance and Other, Population receiving only 1 program, Poverty Gap reduction, Poverty Headcount reduction, Ratio of female to male labor force participation rate, Self-employed, Unemployment, Unemployment with secondary education, Vulnerable employment, Wage and salaried workers
  • 10+ Downloads
    Updated January 30, 2020 | 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. Infrastructure helps determine the success of manufacturing and agricultural activities. Investments in water, sanitation, energy, housing, and transport also improve lives and help reduce poverty. And new information and communication technologies promote growth, improve delivery of health and other services, expand the reach of education, and support social and cultural advances. Data here are compiled from such sources as the International Road Federation, Containerisation International, the International Civil Aviation Organization, the International Energy Association, and the International Telecommunications Union. Indicators: Air transport, Annual freshwater withdrawals, Annual investment in telecommunications, Fixed broadband subscriptions, Fixed telephone subscriptions, Households with television, Individuals using the Internet, International Internet bandwidth, Mobile and fixed-line telephone subscribers, Mobile cellular subscriptions, Motor vehicles, Passenger cars, Personal computers, Quality of port infrastructure, Renewable internal freshwater resources, Renewable internal freshwater resources per capita, Revenue from all telecommunication services, Road density, Roads, Secure Internet servers, Vehicles
  • 10+ Downloads
    Updated January 30, 2020 | 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. Improving health is central to the Millennium Development Goals, and the public sector is the main provider of health care in developing countries. To reduce inequities, many countries have emphasized primary health care, including immunization, sanitation, access to safe drinking water, and safe motherhood initiatives. Data here cover health systems, disease prevention, reproductive health, nutrition, and population dynamics. Data are from the United Nations Population Division, World Health Organization, United Nations Children's Fund, the Joint United Nations Programme on HIV/AIDS, and various other sources. Indicators: ARI treatment, Acceptability of media messages on family planning, Adolescent fertility rate, Adults, Age dependency ratio, Antenatal care, Anti-malarial drug use by pregnant women, Antiretroviral therapy coverage, Antiretroviral therapy coverage for PMTCT, Assistance during delivery, Birth rate, Births attended by skilled health staff, Breastfeeding, Cause of death, Children, Children with fever receiving antimalarial drugs, Community health workers, Completeness of birth registration, Components of antenatal care, Condom use, Consumption of iodized salt, Contraceptive prevalence, Current health expenditure, Current health expenditure per capita, Current use of contraception, Death rate, Demand for family planning satisfied by modern methods, Depth of hunger, Desire to stop, Diabetes prevalence, Diarrhea treatment, Domestic general government health expenditure, Domestic general government health expenditure per capita, Domestic private health expenditure, Domestic private health expenditure per capita, Exclusive breastfeeding, External health expenditure, External health expenditure per capita, Family planning messages in print, Female genital mutilation prevalence, Female headed households, Fertility planning status, Fertility rate, Health expenditure, Heard family planning on radio and television, Hospital beds, Household posession of mosquito nets, Immunization, Incidence of HIV, Incidence of malaria, Incidence of tuberculosis, Increase in poverty gap at $1.90, Increase in poverty gap at $3.20, Infant mortality rate, International migrant stock, Knowledge of contraception, Knowledge of diarrhea care, Life expectancy at birth, Lifetime risk of maternal death, Low-birthweight babies, Malnourished children, Malnourished women, Maternal mortality ratio, Mean ideal number of children, Mean number of children ever born to women aged 40-49, Median age at first birth, Median age at first marriage, Median age at first sexual intercourse, Median birth interval, Mortality caused by road traffic injury, Mortality from CVD, Mortality rate, Mortality rate attributed to household and ambient air pollution, Mortality rate attributed to unintentional poisoning, Mortality rate attributed to unsafe water, Mosquito net use by children, Mosquito net use by pregnant women, Net migration, Newborns protected against tetanus, Number of deaths ages 5-14 years, Number of infant deaths, Number of maternal deaths, Number of neonatal deaths, Number of surgical procedures, Number of under-five deaths, Nurses and midwives, Out-of-pocket expenditure, Out-of-pocket expenditure per capita, People practicing open defecation, People using at least basic drinking water services, People using at least basic sanitation services, People with basic handwashing facilities including soap and water, Physicians, Place of delivery, Population, Population ages 0-14, Population ages 00-04, Population ages 05-09, Population ages 10-14, Population ages 15-19, Population ages 15-64, Population ages 20-24, Population ages 25-29, Population ages 30-34, Population ages 35-39, Population ages 40-44, Population ages 45-49, Population ages 50-54, Population ages 55-59, Population ages 60-64, Population ages 65 and above, Population ages 65-69, Population ages 70-74, Population ages 75-79, Population ages 80 and above, Population growth, Pregnant women receiving prenatal care, Prevalence of HIV, Prevalence of acute respiratory infection, Prevalence of anemia among children, Prevalence of anemia among non-pregnant women, Prevalence of anemia among pregnant women, Prevalence of anemia among women of reproductive age, Prevalence of children with fever, Prevalence of diarrhea, Prevalence of overweight, Prevalence of severe wasting, Prevalence of stunting, Prevalence of undernourishment, Prevalence of underweight, Prevalence of wasting, Probability of dying at age 5-14 years, Problems in accessing health care, Proportion of population pushed below the $1.90, Proportion of population spending more than 10% of household consumption or income on out-of-pocket health care expenditure, Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure, Proportion of women subjected to physical and/or sexual violence in the last 12 months, Refugee population by country or territory of asylum, Refugee population by country or territory of origin, Risk of catastrophic expenditure for surgical care, Risk of impoverishing expenditure for surgical care, Sex ratio at birth, Specialist surgical workforce, Suicide mortality rate, Survival to age 65, Teenage mothers, Teenage pregnancy and motherhood, Tetanus toxoid vaccination, Total alcohol consumption per capita, Total fertility rate, Total wanted fertility rate, Treatment of acute respiratory infection, Treatment of diarrhea, Treatment of fever, Tuberculosis case detection rate, Tuberculosis treatment success rate, UHC service coverage index, Under-5 mortality rate, Unmet need for contraception, Unmet need for family planning, Use of insecticide-treated bed nets, Vaccinations, Vitamin A supplementation coverage rate, Vitamin A supplements for children, Vitamin A supplements for postpartum women, Wanted fertility rate, Women who believe a husband is justified in beating his wife, Women who believe a husband is justified in beating his wife when she argues with him, Women who believe a husband is justified in beating his wife when she burns the food, Women who believe a husband is justified in beating his wife when she goes out without telling him, Women who believe a husband is justified in beating his wife when she neglects the children, Women who believe a husband is justified in beating his wife when she refuses sex with him, Women who were first married by age 15, Women who were first married by age 18, Women's share of population ages 15+ living with HIV
  • Updated January 30, 2020 | 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. An economy's financial markets are critical to its overall development. Banking systems and stock markets enhance growth, the main factor in poverty reduction. Strong financial systems provide reliable and accessible information that lowers transaction costs, which in turn bolsters resource allocation and economic growth. Indicators here include the size and liquidity of stock markets; the accessibility, stability, and efficiency of financial systems; and international migration and workers\ remittances, which affect growth and social welfare in both sending and receiving countries. Indicators: ATMs per 100, Account at a formal financial institution, Account used for business purposes, Account used to receive remittances, Account used to receive wages, Automated teller machines, Bank Z-score, Bank accounts per 1, Bank branches per 100, Bank capital to assets ratio, Bank capital to total assets, Bank concentration, Bank cost to income ratio, Bank credit to bank deposits, Bank deposits to GDP, Bank lending-deposit spread, Bank liquid reserves to bank assets ratio, Bank net interest margin, Bank non-performing loans to gross loans, Bank noninterest income to total income, Bank nonperforming loans to total gross loans, Bank overhead costs to total assets, Bank regulatory capital to risk-weighted assets, Bank return on assets, Bank return on equity, Banking crisis dummy, Boone indicator, Borrowers from commercial banks, Broad money, Broad money growth, Broad money to total reserves ratio, Central bank assets to GDP, Checks used to make payments, Claims on central government, Claims on governments, Claims on governments and other public entities, Claims on other sectors of the domestic economy, Claims on private sector, Commercial bank branches, Consolidated foreign claims of BIS reporting banks to GDP, Consumer price index, Credit card, Credit to government and state-owned enterprises to GDP, DEC alternative conversion factor, Debit card, Deposit interest rate, Deposit money bank assets to deposit money bank assets and central bank assets, Deposit money banks'' assets to GDP, Depositing/withdrawing at least once in a typical month, Depositors with commercial banks, Depth of credit information index, Domestic credit provided by financial sector, Domestic credit to private sector, Domestic credit to private sector by banks, Electronic payments used to make payments, External loans and deposits of reporting banks vis-à-vis all sectors, External loans and deposits of reporting banks vis-à-vis the banking sector, External loans and deposits of reporting banks vis-à-vis the nonbanking sectors, Financial system deposits to GDP, Firms identifying access to finance as a major constraint, Firms not needing a loan, Firms using banks to finance investments, Firms using banks to finance working capital, Firms with a bank loan or line of credit, Firms with a checking or savings account, Foreign direct investment, GDP deflator, Inflation, Insurance company assets to GDP, International migrant stock, Investments financed by banks, Investments financed by equity or stock sales, Life insurance premium volume to GDP, Liquid assets to deposits and short term funding, Liquid liabilities in millions USD, Liquid liabilities to GDP, Loan from a financial institution in the past year, Loan from a private lender in the past year, Loan from an employer in the past year, Loan from family or friends in the past year, Loan in the past year, Loan through store credit in the past year, Loans from nonresident banks, Loans requiring collateral, Mobile phone used to pay bills, Mobile phone used to send money, Net domestic credit, Net foreign assets, Net migration, Non-life insurance premium volume to GDP, Official exchange rate, Personal remittances, Personal transfers, Portfolio equity, Portfolio investment, Primary income on FDI, Private credit bureau coverage, Private credit by deposit money banks and other financial institutions to GDP, Private credit by deposit money banks to GDP, Provisions to nonperforming loans, Public credit registry coverage, Remittance inflows to GDP, Saved any money in the past year, Saved at a financial institution in the past year, Saved using a savings club in the past year, Small firms with a bank loan or line of credit, Strength of legal rights index, Total reserves, Total reserves in months of imports, Total reserves minus gold, Value of collateral needed for a loan, Working capital financed by banks
  • 10+ Downloads
    Updated January 30, 2020 | 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. Natural and man-made environmental resources – fresh water, clean air, forests, grasslands, marine resources, and agro-ecosystems – provide sustenance and a foundation for social and economic development. The need to safeguard these resources crosses all borders. Today, the World Bank is one of the key promoters and financiers of environmental upgrading in the developing world. Data here cover forests, biodiversity, emissions, and pollution. Other indicators relevant to the environment are found under data pages for Agriculture & Rural Development, Energy & Mining, Infrastructure, and Urban Development. Indicators: Access to clean fuels and technologies for cooking, Access to electricity, Adjusted net savings, Adjusted savings, Agricultural land, Agricultural methane emissions, Agricultural nitrous oxide emissions, Annual freshwater withdrawals, Aquaculture production, Arable land, Average precipitation in depth, Bird species, CO2 emissions, CO2 emissions from gaseous fuel consumption, CO2 emissions from liquid fuel consumption, CO2 emissions from solid fuel consumption, Capture fisheries production, Coal rents, Droughts, Energy intensity level of primary energy, Energy related methane emissions, Fish species, Forest area, Forest rents, GHG net emissions/removals by LUCF, Land area, Mammal species, Methane emissions, Methane emissions in energy sector, Mineral rents, Mortality rate attributed to household and ambient air pollution, Mortality rate attributed to unintentional poisoning, Mortality rate attributed to unsafe water, Natural gas rents, Nitrous oxide emissions, Nitrous oxide emissions in energy sector, Oil rents, Other greenhouse gas emissions, PM2.5 air pollution, People practicing open defecation, People using at least basic drinking water services, People using at least basic sanitation services, People with basic handwashing facilities including soap and water, Plant species, Population living in slums, Renewable electricity output, Renewable energy consumption, Renewable internal freshwater resources, Renewable internal freshwater resources per capita, Surface area, Terrestrial and marine protected areas, Terrestrial protected areas, Total fisheries production, Total greenhouse gas emissions, Total natural resources rents, Water productivity
  • Updated January 30, 2020 | 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. The world economy needs ever-increasing amounts of energy to sustain economic growth, raise living standards, and reduce poverty. But today's trends in energy use are not sustainable. As the world's population grows and economies become more industrialized, nonrenewable energy sources will become scarcer and more costly. Data here on energy production, use, dependency, and efficiency are compiled by the World Bank from the International Energy Agency and the Carbon Dioxide Information Analysis Center. Indicators: Access to electricity, Adjusted savings, CO2 emissions from gaseous fuel consumption, CO2 emissions from liquid fuel consumption, Energy intensity level of primary energy, Energy related methane emissions, Firms using banks to finance investment, Fuel exports, Fuel imports, Methane emissions in energy sector, Mineral rents, Natural gas rents, Nitrous oxide emissions in energy sector, Oil rents, Ores and metals exports, Ores and metals imports, Pump price for diesel fuel, Pump price for gasoline, Renewable electricity output, Renewable energy consumption, Time required to get electricity, Time to obtain an electrical connection, Total natural resources rents, Value lost due to electrical outages
  • 10+ Downloads
    Updated January 30, 2020 | 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. Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country. Indicators: Adjusted net enrollment rate, Adjusted net intake rate to Grade 1 of primary education, Adolescents out of school, Adult illiterate population, Adult literacy rate, Africa Dataset, All staff compensation as % of total expenditure in tertiary public institutions, Capital expenditure as % of total expenditure in tertiary public institutions, Children out of school, Compulsory education, Cumulative drop-out rate to the last grade of primary education, Current education expenditure, Current expenditure as % of total expenditure in public institutions, Current expenditure as % of total expenditure in tertiary public institutions, Current expenditure other than staff compensation as % of total expenditure in tertiary public institutions, DHS, Drop-out rate from Grade 1 of primary education, Drop-out rate from Grade 2 of primary education, Drop-out rate from Grade 3 of primary education, Drop-out rate from Grade 4 of primary education, Drop-out rate from Grade 5 of primary education, Educational attainment, Effective transition rate from primary to lower secondary general education, Enrolment in Grade 1 of lower secondary general education, Enrolment in Grade 1 of primary education, Enrolment in Grade 2 of lower secondary general education, Enrolment in Grade 2 of primary education, Enrolment in Grade 3 of lower secondary general education, Enrolment in Grade 3 of primary education, Enrolment in Grade 4 of lower secondary general education, Enrolment in Grade 4 of primary education, Enrolment in Grade 5 of primary education, Enrolment in Grade 6 of primary education, Enrolment in early childhood education, Enrolment in lower secondary education, Enrolment in lower secondary general, Enrolment in lower secondary vocational, Enrolment in post-secondary non-tertiary education, Enrolment in pre-primary education, Enrolment in primary education, Enrolment in secondary education, Enrolment in secondary general, Enrolment in secondary vocational, Enrolment in tertiary education, Enrolment in upper secondary education, Enrolment in upper secondary general, Enrolment in upper secondary vocational, Expenditure on education not specified by level as % of government expenditure on education, Expenditure on lower secondary as % of government expenditure on education, Expenditure on pre-primary as % of government expenditure on education, Expenditure on primary education, Expenditure on secondary education, Expenditure on tertiary education, Expenditure on upper secondary as % of government expenditure on education, Female primary school age children out-of-school, Female pupils below minimum reading proficiency at end of primary, Government expenditure on education, Government expenditure per student, Graduates from ISCED 8 programmes in tertiary education, Graduates from tertiary education, Gross enrolment ratio, Gross graduation ratio from first degree programmes, Gross graduation ratio from lower secondary education, Gross graduation ratio from primary education, Gross intake ratio in first grade of primary education, Gross intake ratio to Grade 1 of lower secondary general education, Gross intake ratio to Grade 1 of primary education, Gross outbound enrolment ratio, Inbound mobility rate, Labor force, Learning poverty, Literacy rate, Lower secondary completion rate, Lower secondary school starting age, MICS, Male primary school age children out-of-school, Male pupils below minimum reading proficiency at end of primary, Net enrolment rate, Net intake rate in grade 1, Net intake rate to Grade 1 of primary education, Net intake rate to Grade 1 of primary education by over-age entrants, Net intake rate to Grade 1 of primary education by under-age entrants, New entrants to Grade 1 of primary education, New entrants to Grade 1 of primary education with early childhood education experience, Official entrance age to compulsory education, Official entrance age to post-secondary non-tertiary education, Official entrance age to pre-primary education, Official entrance age to upper secondary education, Out-of-school adolescents of lower secondary school age, Out-of-school children of primary school age in pre-primary education, Outbound mobility ratio, Over-age enrolment ratio in primary education, Over-age students, PASEC, Percentage of enrolment in pre-primary education in private institutions, Percentage of enrolment in tertiary education in private institutions, Percentage of female graduates from tertiary education graduating from Arts and Humanities programmes, Percentage of female graduates from tertiary education graduating from Education programmes, Percentage of female graduates from tertiary education graduating from Natural Sciences, Percentage of female graduates from tertiary education graduating from Social Sciences, Percentage of female teachers in lower secondary education who are trained, Percentage of female teachers in upper secondary education who are trained, Percentage of graduates from Arts and Humanities programmes in tertiary education who are female, Percentage of graduates from Education programmes in tertiary education who are female, Percentage of graduates from Natural Sciences, Percentage of graduates from Social Sciences, Percentage of graduates from tertiary education graduating from Arts and Humanities programmes, Percentage of graduates from tertiary education graduating from Education programmes, Percentage of graduates from tertiary education graduating from Natural Sciences, Percentage of graduates from tertiary education graduating from Social Sciences, Percentage of graduates from tertiary education who are female, Percentage of male teachers in lower secondary education who are trained, Percentage of male teachers in upper secondary education who are trained, Percentage of new entrants to Grade 1 of primary education with early childhood education experience, Percentage of repeaters in Grade 1 of lower secondary general education, Percentage of repeaters in Grade 1 of primary education, Percentage of repeaters in Grade 2 of lower secondary general education, Percentage of repeaters in Grade 2 of primary education, Percentage of repeaters in Grade 3 of lower secondary general education, Percentage of repeaters in Grade 3 of primary education, Percentage of repeaters in Grade 4 of lower secondary general education, Percentage of repeaters in Grade 4 of primary education, Percentage of repeaters in Grade 5 of primary education, Percentage of repeaters in Grade 6 of primary education, Percentage of repeaters in lower secondary general education, Percentage of repeaters in primary education, Percentage of students in post-secondary non-tertiary education who are female, Percentage of students in pre-primary education who are female, Percentage of students in tertiary ISCED 5 programmes who are female, Percentage of students in tertiary education who are female, Percentage of teachers in lower secondary education who are female, Percentage of teachers in lower secondary education who are trained, Percentage of teachers in post-secondary non-tertiary education who are female, Percentage of teachers in pre-primary education who are female, Percentage of teachers in secondary education who are trained, Percentage of teachers in upper secondary education who are female, Percentage of teachers in upper secondary education who are trained, Persistence to grade 5, Persistence to last grade of primary, Population, Population ages 0-14, Population ages 15-64, Population of the official entrance age to primary education, Preprimary education, Primary completion rate, Primary education, Primary school starting age, Progression to secondary school, Pupil-teacher ratio, Pupil-teacher ratio in lower secondary education, Pupil-teacher ratio in upper secondary education, Rate of out-of-school adolescents of lower secondary school age, Rate of out-of-school children of primary school age, Rate of out-of-school children of primary school age in pre-primary education, Repeaters, Repeaters in Grade 1 of lower secondary general education, Repeaters in Grade 1 of primary education, Repeaters in Grade 2 of lower secondary general education, Repeaters in Grade 2 of primary education, Repeaters in Grade 3 of lower secondary general education, Repeaters in Grade 3 of primary education, Repeaters in Grade 4 of lower secondary general education, Repeaters in Grade 4 of primary education, Repeaters in Grade 5 of primary education, Repeaters in Grade 6 of primary education, Repeaters in lower secondary general education, Repeaters in primary education, Repetition rate in Grade 1 of primary education, Repetition rate in Grade 2 of primary education, Repetition rate in Grade 3 of primary education, Repetition rate in Grade 4 of primary education, Repetition rate in Grade 5 of primary education, Repetition rate in Grade 6 of primary education, School age population, School enrollment, School life expectancy, Secondary education, Share of all students in lower secondary education enrolled in vocational programmes, Share of all students in secondary education enrolled in vocational programmes, Share of all students in tertiary education enrolled in ISCED 5, Share of all students in upper secondary education enrolled in vocational programmes, Share of female students in secondary education enrolled in vocational programmes, Share of male students in secondary education enrolled in vocational programmes, Spending on teaching materials, Survival rate to Grade 4 of primary education, Survival rate to Grade 5 of primary education, Survival rate to the last grade of lower secondary general education, Survival rate to the last grade of primary education, Teachers in lower secondary education, Teachers in post-secondary non-tertiary education, Teachers in pre-primary education, Teachers in primary education, Teachers in secondary general education, Teachers in secondary vocational education, Teachers in tertiary education ISCED 5 programmes, Teachers in tertiary education programmes, Teachers in upper secondary education, Teachers' salaries, Tertiary education, Theoretical duration of lower secondary education, Theoretical duration of post-secondary non-tertiary education, Theoretical duration of pre-primary education, Theoretical duration of upper secondary education, Total inbound internationally mobile students, Total net enrolment rate, Total outbound internationally mobile tertiary students studying abroad, Trained teachers in lower secondary education, Trained teachers in preprimary education, Trained teachers in primary education, Trained teachers in secondary education, Trained teachers in upper secondary education, Under-age enrolment ratio in primary education, Unemployment, Youth illiterate population
  • Updated January 30, 2020 | 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. Economic growth is central to economic development. When national income grows, real people benefit. While there is no known formula for stimulating economic growth, data can help policy-makers better understand their countries' economic situations and guide any work toward improvement. Data here covers measures of economic growth, such as gross domestic product (GDP) and gross national income (GNI). It also includes indicators representing factors known to be relevant to economic growth, such as capital stock, employment, investment, savings, consumption, government spending, imports, and exports. Indicators: 2005 PPP conversion factor, Adjusted net national income, Adjusted net national income per capita, Adjusted net savings, Adjusted savings, Agriculture, Changes in inventories, Communications, Current account balance, DEC alternative conversion factor, Discrepancy in expenditure estimate of GDP, Exports as a capacity to import, Exports of goods, Exports of goods and services, External balance on goods and services, External debt stocks, Final consumption expenditure, Foreign direct investment, GDP, GDP deflator, GDP growth, GDP per capita, GDP per capita growth, GNI, GNI growth, GNI per capita, GNI per capita growth, General government final consumption expenditure, Goods exports, Goods imports, Grants, Gross capital formation, Gross domestic income, Gross domestic savings, Gross fixed capital formation, Gross national expenditure, Gross national expenditure deflator, Gross national income, Gross savings, Gross value added at basic prices, Households and NPISHs Final consumption expenditure, Households and NPISHs Final consumption expenditure per capita, Households and NPISHs Final consumption expenditure per capita growth, Households and NPISHs final consumption expenditure, Imports of goods, Imports of goods and services, Industry, Inflation, Insurance and financial services, Interest payments on external debt, Manufacturing, Net ODA received, Net ODA received per capita, Net capital account, Net errors and omissions, Net financial account, Net official development assistance received, Net primary income, Net secondary income, Net trade in goods, Net trade in goods and services, ODA aid disbursements for Malaria control, ODA aid disbursements for STD control including HIV/AIDS, ODA aid disbursements for Social mitigation of HIV/AIDS, PPP conversion factor, Personal remittances, Personal transfers, Portfolio equity, Present value of external debt, Price level ratio of PPP conversion factor, Primary income on FDI, Primary income payments, Primary income receipts, Reserves and related items, Secondary income, Secondary income receipts, Service exports, Service imports, Services, Short-term debt, Taxes less subsidies on products, Technical cooperation grants, Terms of trade adjustment, Total debt service, Total reserves, Total reserves minus gold, Trade, Trade in services, Transport services, Travel services
  • Updated January 30, 2020 | 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. Aid effectiveness is the impact that aid has in reducing poverty and inequality, increasing growth, building capacity, and accelerating achievement of the Millennium Development Goals set by the international community. Indicators here cover aid received as well as progress in reducing poverty and improving education, health, and other measures of human welfare. Indicators: Debt forgiveness grants, Grants, IDA grants, Incidence of tuberculosis, Income share held by lowest 20%, Maternal mortality ratio, Mortality rate, Net ODA received, Net ODA received per capita, Net bilateral aid flows from DAC donors, Net migration, Net official development assistance and official aid received, Net official development assistance received, Net official flows from UN agencies, Poverty headcount ratio at $1.90 a day, Pregnant women receiving prenatal care, Prevalence of HIV, Prevalence of stunting, Primary completion rate, School enrollment, Technical cooperation grants, Vulnerable employment
  • 10+ Downloads
    Updated January 30, 2020 | 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. For the 70 percent of the world's poor who live in rural areas, agriculture is the main source of income and employment. But depletion and degradation of land and water pose serious challenges to producing enough food and other agricultural products to sustain livelihoods here and meet the needs of urban populations. Data presented here include measures of agricultural inputs, outputs, and productivity compiled by the UN's Food and Agriculture Organization. Indicators: Access to electricity, Agricultural land, Agricultural machinery, Agricultural methane emissions, Agricultural nitrous oxide emissions, Agricultural raw materials exports, Agricultural raw materials imports, Agriculture, Annual freshwater withdrawals, Arable land, Average precipitation in depth, Cereal production, Cereal yield, Crop production index, Economically active population in agriculture, Employment in agriculture, Food production index, Forest area, Land area, Land under cereal production, Livestock production index, Permanent cropland, Rural population, Rural population growth, Rural poverty gap at national poverty lines, Rural poverty headcount ratio at national poverty lines, Surface area
  • 20+ Downloads
    Updated January 30, 2020 | Dataset date: Jan 22, 2020
    This dataset updates: As needed
    WCA Agencies location
  • 700+ Downloads
    Updated January 28, 2020 | Dataset date: Jan 28, 2020
    This dataset updates: Every month
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Updated January 27, 2020 | Dataset date: Jun 7, 2017
    This dataset updates: As needed
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • Updated January 27, 2020 | Dataset date: Jun 7, 2017
    This dataset updates: As needed
    This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include main roads that have been published on a separate dataset (main roads). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis is the result of a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of department surface at flood risk and the maximum expected frequency of flood events with a 100-year return period. Cette couche contient informations regard le risque d’inondations – par unité administrative de deuxième niveau – estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données : UNEP/UNISDR GAR, 2013. Les indicateurs principaux utilisées pour l’analyse étaient la pourcentage de surface a risque d’inondation et l’attente maximale attendue des inondations. Original dataset title: ICA Chad, 2017 - Flood Risk, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 1981-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis is a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1981-2015. The main indicator used for the analysis was the number of poor growing seasons observed in the time window of interest. Cette couche contient informations regard le risque de sècheresse – par unité administrative de deuxième niveau – estimée pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ VAM Analyse des données CHIRPS d’estimation des precipitations, 1981-2015. L'indicateur principale utilisé pour l'analyse était le nombre de saisons qui ont connu un déficit hydrique (mauvaises saisons de croissance). Original dataset title: ICA Chad, 2017 - Drought Risk, 1981-2015
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the rapid on-set shocks risk (floods and landslides) - by second-level administrative unit - estimated during the Integrated Context Analysis (ICA) run in Niger in 2017. Data source: UNEP/UNISDR GAR 2013. Cette couche contient informations regard le risque de chocs de déclanchement rapide (inondations et glissements de terrain) - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) executé en Tchad en 2017. Source des données: UNEP/UNISDR GAR 2013. Original dataset title: ICA Chad, 2017 - Rapid On-Set Shock Risk, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the landslide hazard estimated - by second-level administrative area - during the Integrated Context Analysis (ICA) run in Chad in 2017. Data source: UNEP/UNISDR GAR 2013. The main indicators used for the analysis were the percentage of department surface at landslide hazard, the maximum expected frequency of landslide events. Cette couche contient informations regard le risque des glissements de terraine - par unité administrative de deuxième niveau - estimé pendant l'Analyse Integrée de Contexte (AIC) exécuté en Tchad en 2017. Sources des données: UNEP/UNISDR GAR 2013. Les indicateurs principales utilisés pour l'analyse étaient la pourcentage de surface à risque des glissements de terraine et l'attente maximale attendue des glissements de terraine. Original dataset title: ICA Chad, 2017 - Landslide Risk, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the natural shock risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Chad in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD), the HQ GIS Unit and Programme division. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1981-2015. Cette couche contient informations regard le risque des chocs naturels (inondations et sècheresse) estimé pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données : UNEP/UNISDR GAR 2013, HQ VAM Analyse des données CHIRPS d’estimation des precipitations 1981-2015. Original dataset title: ICA Chad, 2017 - Natural Shock Risk
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Chad in 2017, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods, droughts and landslides). The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS unit and Programme division. Cette couche contient informations regard la classification finale résultant de l'Analyse Integrée de Contexte (AIC) executée en Tchad en 2017, montrant les zones de convergence de niveaux elevés de récurrence d'insécurité alimentaire et propension aux chocs naturels (inondations, sècheresse et glissements de terrain). L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Original dataset title: ICA Chad, 2017 - ICA Categories & Areas
  • Updated January 27, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Enquête Nationale de la Sécurité (ENSA), 2011-2016. The main indicator used for the analysis was the Food Consumption Score (FCS), with a threshold - referring to poor and borderline households - set to 20%. Cette couche contient les données d’une analyse de tendance de la sécurité alimentaire – par unité administrative de deuxième niveau – employée pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Enquête Nationale de la Sécurité (ENSA), 2011-2016 L’indicateur principale utilisé pour l’analyse était le score de consommation alimentaire faible et limite, avec un seuil fixé à 20%. Original dataset title: ICA Chad, 2017 - Recurrence of Food Insecurity, 2011-2016
  • Updated January 27, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM), with a thresholds set according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. L’indicateur principale utilisé pour l’analyse était la prévalence de Malnutrition Aigüe Globale (MAG), avec des seuils d’alerte fixés selon les normes et la gamme de valeurs classés de l’OMS 2006. Original dataset title: ICA Chad, 2017 - Prevalence of Global Acute Malnutrition, 2017
  • Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2012, WorldClim 1970-2000, FAO data and NASA SRTM Digital Elevation Model. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour determiner le niveau de dégradation des terres – par unité administrative de deuxième niveau – observé pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ OSEP GIS Analyse des données NASA MODIS 2001-2012, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative. Original dataset title: ICA Chad, 2017 - Land Degradation, 2001-2012
  • Updated January 27, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2011
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Fewsnet, 2011. Cette couche contient informations regard les zones de moyens d’existence prédominant – par unité administrative de deuxième niveau – identifiées pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Fewsnet, 2011. Original dataset title: ICA Chad, 2017 - Most Predominant Livelihood Zones, 2011