Data Grid Completeness
50%  45% 
10/20 Core Data 19 Datasets 13 Organisations Show legend
What is Data Grid Completeness?
Data Grid 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 Grid 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
3 Datasets
50%  50% 
Internally-Displaced Persons
International Organization for Migration (IOM)
Refugees & Persons of Concern
Returnees
International Organization for Migration (IOM)
Humanitarian Needs
Coordination & Context
5 Datasets
40%  40%  19% 
3w - Who is doing what where
International Aid Transparency Initiative
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Climatic Hazards
Food Security & Nutrition
3 Datasets
100% 
Food security
Integrated Food Security Phase Classification (IPC)
Acute Malnutrition
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
100% 
Administrative Divisions
Populated Places
Humanitarian OpenStreetMap Team (HOT)
Roads
OCHA Yemen
Airports
Health & Education
2 Datasets
50%  50% 
Health Facilities
Education Facilities
Population & Socio-economy
2 Datasets
100% 
Baseline Population
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 500+ Downloads
    Updated 28 June 2022 | Dataset date: February 17, 2021-March 03, 2021
    This dataset updates: Every year
    In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.
  • Updated 28 June 2022 | Dataset date: August 01, 2021-August 13, 2022
    This data is by request only
    The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 25 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every four months, depending on seasonality). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO). At the core of the system is a standardized household questionnaire administered to around 100,000 households across the 25 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in some cases at Admin 2 level (e.g. district). Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAO’s Special Fund for Emergency and Rehabilitation (SFERA). The contents of the work are the sole responsibility of FAO and do not necessarily reflect the views of USAID, the United States Government or the European Union. On the Hub Homepage ( https://data-in-emergencies.fao.org/ ) it is possible to create an account and explore/download aggregated data related to the following thematic areas: 1) Incomes and shocks 2) Crop Production 3) Livestock Production 4) Food Security 5) Needs Aggregated datasets are generated from household interviews performed after August 2021. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present datasets. In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample.
  • 100+ Downloads
    Updated Live | Dataset date: February 08, 2021-August 13, 2022
    This dataset updates: Live
    Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country
  • 1200+ Downloads
    Updated Live | Dataset date: December 14, 2020-August 02, 2022
    This dataset updates: Live
    Immunization campaigns impacted due to COVID-19
  • 3200+ Downloads
    Updated 23 June 2022 | Dataset date: January 01, 2019-June 18, 2022
    This dataset updates: Every month
    DTM’s Displacement Tracking tool collects and reports on displaced numbers of households on a daily basis, allowing for regular reporting of new displacements in terms of numbers, geography and needs. More than 3.6 million people are displaced as per August 2018 assessment.
  • 2200+ Downloads
    Updated 19 June 2022 | Dataset date: January 01, 2008-December 31, 2021
    This dataset updates: Every year
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
  • 8000+ Downloads
    Updated 7 June 2022 | Dataset date: January 01, 2018-December 31, 2022
    This dataset updates: Every year
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning. Intersectoral People in Need 2022: For the 2022 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2022 in the below link. https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf Cluster People in Need 2022: The data file contains people in need for 2022 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2022 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link: https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf Yemen Population estimates for 2022: The data contains population estimates for 2022. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2022. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries. Intersectoral People in Need 2021: For the 2021 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2021 in the below link. https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf Cluster People in Need 2021: The data file contains people in need for 2021 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2021 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link: https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf Yemen Population estimates for 2021: The data contains population estimates for 2021. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2021. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries.
  • 300+ Downloads
    Updated 23 May 2022 | Dataset date: January 01, 2019-December 31, 2021
    This dataset updates: As needed
    These datasets contain information on violent and threatening incidents affecting aid operations, civilians, education, healthcare, refugees and IDPs in Yemen to ensure staff safety and better response outcomes.
  • 300+ Downloads
    Updated 18 May 2022 | Dataset date: January 01, 2021-April 30, 2022
    This dataset updates: As needed
    These datasets contains incidents in which aid access, education and healthcare services were impacted by explosive weapons. Insecurity Insight collaborates with the International Network on Explosive Weapons (INEW) in producing research and analysis on the harm and use of explosive weapons for the Explosive Weapons Monitor by documenting their effects on health care, education, and aid access. Every month the Explosive Weapons Monitor publishes a bulletin with incidents from around the world as reported in open sources.
  • 10+ Downloads
    Updated 16 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    This dataset updates: As needed
    Yemen administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata. Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
  • 100+ Downloads
    Updated 28 March 2022 | Dataset date: March 07, 2022-August 13, 2022
    This dataset updates: Every six months
    This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the figures relevant to Humanitarian Health response at global levels. The information is compiled from the last available data in public validated sources. See detailed info below. The data is mostly compiled from HRP and follows the structure of the Global Humanitarian Overview. For any ideas, updates, or corrections please contact Luis Hernando AGUILAR R (aguilarl@who.int) GHCU-IM team-lead. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement. The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document
  • 20+ Downloads
    Updated 25 March 2022 | Dataset date: February 25, 2017-December 31, 2022
    This dataset updates: As needed
    SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA) The SSA displays data from countries with complex humanitarian emergencies, as mandated in resolution [WHA 65.20] http://ssa.who.int This dataset contains 3018 verified attacks against health activities. Is taken from the SSA system coordinated and maintained by WHO. For more innformation contact ssa@who.int Dates 31/12/2021 25/02/2017
  • 700+ Downloads
    Updated 15 March 2022 | Dataset date: September 30, 2021-September 30, 2021
    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 2010 to 2021. PIN figures for 2022 are available in this dataset: Interagency Response Plans in 2022
  • 10+ Downloads
    Updated 18 February 2022 | Dataset date: August 07, 2021-August 07, 2021
    This dataset updates: Never
    UNOSAT code: FL20210729YEM This map illustrates satellite-detected surface waters over Sirwah and Ma'rib City districts of Yemen as observed from a Sentinel-2 image acquired on 5 August 2021. From the previous preliminary flood assessment conducted on 2 August 2021, an additional 1.45 km2. Based on Worldpop population data and the detected surface waters, about 90 additional people may be potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR- UNOSAT.
  • Updated 18 February 2022 | Dataset date: August 06, 2021-August 06, 2021
    This dataset updates: Never
    UNOSAT code: FL20210729YEM This map illustrates the estimated total precipitation accumulated over Yemen. The total estimate was derived from the NASA Precipitation Processing System (PPS) dataset at a spatial resolution of approximately 10km and covers the period from 20th July to 1st August 2021. Western Governorates have been predominantly affected by precipitation, with some values greater than 600mm over the 13-day period. It is possible that precipitation levels may have been underestimated for local areas and are not a substitute for ground station measurements. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated 18 February 2022 | Dataset date: August 02, 2021-August 02, 2021
    This dataset updates: Never
    UNOSAT code: FL20210729YEM This map illustrates satellite-detected surface waters over Sirwah, Bani Dabyan, and Al Jubah districts of Yemen as observed from a Sentinel-1 radar image acquired on 26 July 2021. Within the analyzed area of about 3,800 km2, a total of about 6.5 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 1,800 people may be potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR- UNOSAT.
  • 4800+ Downloads
    Updated 16 February 2022 | Dataset date: January 01, 2019-December 31, 2021
    This dataset updates: As needed
    This page provides the data published in the Attacks on Health Care Monthly News Brief. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset These datasets covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members in 2019 and in 2020 to date. All data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
  • 6100+ Downloads
    Updated 15 February 2022 | Dataset date: January 01, 2017-December 31, 2021
    This dataset updates: As needed
    This page provides the data published in the Education in Danger Monthly News Brief. All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
  • 800+ Downloads
    Updated 4 February 2022 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: Never
    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
  • 1700+ Downloads
    Updated 17 January 2022 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: As needed
    Education 4W for the Yemen Education Cluster in 2019
  • 1400+ Downloads
    Updated 14 January 2022 | Dataset date: November 30, 2018-November 30, 2018
    This dataset updates: Never
    The aim of the Sub-Area Assessment is to track and monitor IDP and returnee populations in Yemen. Information is collected on population size, area of origin, current location, duration of displacement, shelter types, priority needs and movement trends. Among the main outputs of the Sub-Area Assessment, is a list of locations where IDPs and/or returnees are present that can be used to inform more detailed assessments at the location level, including the annual Multi-Cluster Location Assessment (MCLA). DTM field staff, along with KIs, use the Sub-Area Assessment tool to capture locations, which are matched to the identified locations in the OCHA Common Operational Dataset (P-Codes).
  • 80+ Downloads
    Updated Live | Dataset date: January 01, 2017-December 31, 2021
    This dataset updates: Live
    This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.
  • 1400+ Downloads
    Updated 31 December 2021 | Dataset date: November 15, 2018-December 31, 2021
    This dataset updates: Every year
    Population Estimates in Yemen, 2021 and 2019.
  • 200+ Downloads
    Updated 14 December 2021 | Dataset date: October 07, 2021-October 15, 2022
    This dataset updates: Every year
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2021 methodology is detailed in Alkire, Kanagaratnam & Suppa (2021).
  • 100+ Downloads
    Updated Live | Dataset date: January 01, 2019-August 13, 2022
    This dataset updates: Live
    Live list of active aid activities for Yemen shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org