Data Completeness
12/27 Core Data 22 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
6 Datasets
Internally-Displaced Persons
International Organization for Migration
Refugees & Persons of Concern
Humanitarian Profile Locations
International Organization for Migration
Humanitarian Needs
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
6 Datasets
3w - Who is doing what where
Education Cluster Yemen
Affected Areas
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Transportation Status
WFP - World Food Programme
Damaged & Destroyed Buildings
Food Security & Nutrition
3 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
Administrative Divisions
Populated Places
Humanitarian OpenStreetMap Team (HOT)
Roads
Humanitarian OpenStreetMap Team (HOT)
Airports
Health & Education
4 Datasets
Health Facilities
Humanitarian OpenStreetMap Team (HOT)
Global Healthsites Mapping Project
Education Facilities
Affected Schools
Education Cluster Yemen
Population & Socio-economy
1 Datasets
Baseline Population
WFP - World Food Programme
Baseline Population by Age & Sex
Poverty Rate
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  • 20+ 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. 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: 5-bank asset concentration, ATMs per 100, Account at a formal financial institution, Account used for business purposes, Account used to receive remittances, Automated teller machines, Bank Z-score, Bank accounts per 1, Bank branches per 100, 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 net interest margin, Bank non-performing loans to gross loans, Bank noninterest income to total income, 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 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 whose recent loan application was rejected, Firms with a bank loan or line of credit, Firms with a checking or savings account, Foreign bank assets among total bank assets, Foreign banks among total banks, Foreign direct investment, GDP deflator, Global leasing volume to GDP, Gross portfolio equity assets to GDP, Inflation, Interest rate spread, International migrant stock, Investments financed by banks, Investments financed by equity or stock sales, Lending interest rate, 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, 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, Real interest rate, Remittance inflows to GDP, Risk premium on lending, 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
  • 40+ 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 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 electricity and heat production, CO2 emissions from gaseous fuel consumption, CO2 emissions from liquid fuel consumption, CO2 emissions from manufacturing industries and construction, CO2 emissions from other sectors, CO2 emissions from residential buildings and commercial and public services, CO2 emissions from solid fuel consumption, CO2 emissions from transport, CO2 intensity, Capture fisheries production, Coal rents, Disaster risk reduction progress score, Droughts, Electricity production from oil, Electricity production from renewable sources, Energy intensity level of primary energy, Energy related methane emissions, Fish species, Forest area, Forest rents, GHG net emissions/removals by LUCF, HFC gas emissions, Land area, Land area where elevation is below 5 meters, Mammal species, Marine protected areas, 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, PFC 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 using safely managed sanitation services, People with basic handwashing facilities including soap and water, Plant species, Population living in areas where elevation is below 5 meters, Population living in slums, Renewable electricity output, Renewable energy consumption, Renewable internal freshwater resources, Renewable internal freshwater resources per capita, Rural land area, Rural land area where elevation is below 5 meters, Rural population living in areas where elevation is below 5 meters, SF6 gas emissions, Surface area, Terrestrial and marine protected areas, Terrestrial protected areas, Total fisheries production, Total greenhouse gas emissions, Total natural resources rents, Urban land area, Urban land area where elevation is below 5 meters, Urban population living in areas where elevation is below 5 meters, Water productivity
  • 20+ Downloads
    Updated January 30, 2020 | Dataset date: Jan 1, 1960-Dec 31, 2017
    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, Alternative and nuclear energy, CO2 emissions from gaseous fuel consumption, CO2 emissions from liquid fuel consumption, Combustible renewables and waste, Electric power consumption, Electric power transmission and distribution losses, Electricity production from coal sources, Electricity production from hydroelectric sources, Electricity production from natural gas sources, Electricity production from nuclear sources, Electricity production from oil, Electricity production from oil sources, Electricity production from renewable sources, Energy imports, Energy intensity level of primary energy, Energy related methane emissions, Energy use, Firms using banks to finance investment, Fossil fuel energy consumption, Fuel exports, Fuel imports, GDP per unit of energy use, Investment in energy with private participation, 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
  • 30+ 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, Barro-Lee, 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, 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, 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 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 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, 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 tertiary education, Gross enrolment ratio, 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, 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, Percentage of all inbound internationally mobile students in tertiary education in the host country who are female, Percentage of enrolment in pre-primary education in private institutions, Percentage of enrolment in tertiary education in private institutions, Percentage of female teachers in upper secondary education who are trained, Percentage of graduates from tertiary education who are female, 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 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 ISCED 8 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 post-secondary non-tertiary education who are female, Percentage of teachers in pre-primary education who are female, 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 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 secondary education enrolled in vocational programmes, Share of all students in tertiary education enrolled in ISCED 5, Share of all students in tertiary education enrolled in ISCED 8, 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 female students in tertiary education enrolled in ISCED 8, Share of male students in secondary education enrolled in vocational programmes, Share of male students in tertiary education enrolled in ISCED 8, 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, TIMSS, 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, 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 upper secondary education, Under-age enrolment ratio in primary education, Unemployment, Youth illiterate population
  • 20+ 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. 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 savings, Agriculture, Changes in inventories, Charges for the use of intellectual property, Chemicals, Communications, Current account balance, DEC alternative conversion factor, Exports of goods, Exports of goods and services, External debt stocks, Food, Foreign direct investment, GDP, GDP deflator, GDP growth, GDP per capita, GDP per capita growth, GNI, GNI per capita, Goods exports, Goods imports, Grants, Gross value added at basic prices, ICT service exports, Imports of goods, Imports of goods and services, Industry, Inflation, Insurance and financial services, Interest payments on external debt, Machinery and transport equipment, 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, Other manufacturing, PPP conversion factor, Personal remittances, Personal transfers, Portfolio equity, Portfolio investment, 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, Textiles and clothing, Total debt service, Total reserves, Total reserves minus gold, Trade in services, Transport services, Travel services
  • 40+ 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. 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
  • 30+ 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 irrigated land, 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, Employment in agriculture, Fertilizer consumption, Food production index, Forest area, Land area, Land under cereal production, Livestock production index, Permanent cropland, Rural land area, Rural land area where elevation is below 5 meters, Rural population, Rural population growth, Rural population living in areas where elevation is below 5 meters, Rural poverty gap at national poverty lines, Rural poverty headcount ratio at national poverty lines, Surface area
  • 100+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every six months
    DTM in Yemen includes the monitoring of key migrant and return locations on Yemen's northern border with Saudi Arabia and southern coastal border. DTM monitors the arrivals of migrants and Yemeni nationals in order to identify different patterns and types of migration. IOM estimates that 6,589 migrants entered Yemen in addition to 2,819 Yemeni returns from Saudia Arabia during November 2019 bringing the number of migrants who have arrived in Yemen in 2019 to ‭127,275‬‬ and the number of Yemeni returnees to 44,777
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jun 1, 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
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler
  • 20+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    No abstract provided
  • 40+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler
  • 20+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Mar 28, 2019
    This dataset updates: As needed
    Source: Geoenabler
  • 10+ Downloads
    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
  • 60+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: As needed
    A Population technical workgroup was formed in Sana’a (IOM, UNFPA, OCHA, NAMCHA and CSO ) and another one in Aden (IOM, OCHA, CSO, MOPIC including Executive Unit). IDP data flow figures (from district to district) were collected, cross checked between different sources (IOM DTM, NAMCHA, Executive unit) in cases multiple datasets for the same location were available. This resulted in a country-wide IDP movement database. The TWGs agreed to use this database to calculate the estimated population using the following formula : Estimated Population = CSO projected population( 2019) – IDPS who left the district + idps who came to the district All members in both workgroups agreed on the final results on 3 Dec 2018. The attached dataset represents the results of the work of both groups and will be used for 2019 HNO and HRP. Maintaining up to date population figures going forward Both TWGs are discussing the frequency of population figures updates for 2019. The intent is to agree on quarterly updates, using the same methodological approach Original dataset title: Yemen Population Estimates 2019
  • 100+ Downloads
    Updated Live | Dataset date: Nov 16, 2015-Dec 31, 2027
    This dataset updates: Live
    List of aid activities by InterAction members in Yemen. Source: http://ngoaidmap.org/location/gn_69543
  • 90+ Downloads
    Updated December 13, 2019 | Dataset date: Jan 1, 2010-Dec 31, 2020
    This dataset updates: Every year
    This dataset shows the number of people in need(PiN), funds required and funds received by country and over the years, from 2011 to 2020.
  • 6300+ Downloads
    Updated December 10, 2019 | Dataset date: Feb 1, 2019
    This dataset updates: As needed
    Administrative boundary datasets for levels 0, 1, 2 and 3 (international, governorate, district and sub-district) for Yemen approved for use by Humanitarian Country Team in October 2019. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. Admin Level 1= Governorate = Mohafadha Admin Level 2 = District = Modeeriyyah Admin Level 3 = Sub-district = Ozlah PCODES are those used by Yemen Central Statistical Organization ( CSO ). "YE" is added as a prefix for the codes. Point layers are created by the calculating the centroids of the polygons.
  • 80+ Downloads
    Updated Live | Dataset date: Jan 1, 2008-Dec 31, 2027
    This dataset updates: Live
    List of airports in Yemen, with latitude and longitude. Unverified community data from http://ourairports.com/countries/YE/
  • 100+ Downloads
    Updated November 14, 2019 | Dataset date: May 15, 2019
    This dataset updates: As needed
    Nutrition Assessments summary, 2019
  • 100+ Downloads
    Updated November 12, 2019 | Dataset date: Jan 1, 1979-Dec 31, 2010
    This dataset updates: As needed
  • 600+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 1, 1975-Dec 1, 2012
    This dataset updates: Every year
    The UNHCR Refugee Population statistics are compiled and curated at headquarters-level and released yearly at the same time of the UNHCR Statistical Yearbooks. This is a subset of the data only with refugees from Yemen. The full dataset is available here. This dataset contains refugee population statistics from 1975 until 2012.
  • 1800+ Downloads
    Updated October 30, 2019 | Dataset date: Jan 1, 2017-Sep 30, 2019
    This dataset updates: Every year
    The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This page is managed by SHCC member Insecurity Insight.
  • 10+ Downloads
    Updated Live | Dataset date: Jan 1, 1959-Dec 31, 2025
    This dataset updates: Live
    This page presents information on resettlement arrivals of refugees, with or without UNHCR assistance. This dataset is based on Government statistics and, in principle, excludes humanitarian admissions.