Key Figures
Data Completeness
3/26 Core Data 14 Datasets 10 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
4 Datasets
Coordination & Context
3 Datasets
Food Security & Nutrition
1 Datasets
Geography & Infrastructure
3 Datasets
Health & Education
2 Datasets
Population & Socio-economic Indicators
1 Datasets
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  • 400+ Downloads
    Updated January 25, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2018
    This dataset updates: Every year
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
  • 100+ Downloads
    Updated December 27, 2018 | Dataset date: Jun 1, 2018-Aug 28, 2018
    This dataset updates: Never
    In this report DTM estimates that over 420,000 individuals have experienced rapid onset displacement. The majority of these IDPs were reported to be displaced from Al Hudaydah during the month of June, with Hajjah Governorate households experiencing displacement from Hayran district in late August.
  • 500+ Downloads
    Updated December 3, 2018 | Dataset date: Oct 8, 2017
    This dataset updates: Every three months
    The Task Force for Population Movement (TFPM) is a Technical Working Group to the Inter-Cluster Coordination Mechanism. (ICCM) The TFPM implements an information management tool that gathers data and location of displaced persons across Yemen. As of 01 Sep 2017, the TFPM has identified, 2,014,026 internally displaced persons (IDPs) (335,671 households) who have been displaced due to conflict since March 2015, dispersed across 21 governorates. For the same period, the TFPM has identified 956,076 returnees (159,346 households), across 20 governorates. As a result, 10.3% of the total population of Yemen has experienced the shock of displacement due to conflict in the last 30 months. The data collected is a compilation of data collection activities conducted through the period of May to August 2018. The data presents the best estimates of displacement and returnee movements in locations across Yemen.
  • 300+ Downloads
    Updated December 3, 2018 | Dataset date: Aug 31, 2018
    This dataset updates: Every six months
    The Task Force for Population Movement (TFPM) is a Technical Working Group to the Inter-Cluster Coordination Mechanism.
  • 1500+ Downloads
    Updated November 20, 2018 | Dataset date: Jul 1, 2018
    This dataset updates: Never
    This dataset provides numbers of suspected cholera cases, deaths, case fatality rates (%) and attack rates (per 1,000) by Governorate in the Yemen cholera outbreak since 27 April 2017. The data are manually extracted from the Yemen cholera outbreak epidemiology updates produced by WHO Yemen. The updates are posted on the Yemen Situation Reports page on the WHO Regional Office for the Eastern Mediterranean site. This dataset contains data from the daily and weekly updates up to the weekly report published on 7 July 2018.
  • 800+ Downloads
    Updated November 16, 2018 | Dataset date: May 14, 2015
    This dataset updates: Never
    The Coping Strategy Index dataset measures the severity and frequency of the strategies that households use to cope with acute food insecurity. The strategies vary from borrowing food or money from neighbors to selling household assets. This data is available for 31 countries at a sub-national level.
  • 700+ Downloads
    Updated September 10, 2018 | Dataset date: Jun 1, 2018-Jun 30, 2018
    This dataset updates: Every three months
    The Task Force for Population Movement (TFPM) is a Technical Working Group to the Inter-Cluster Coordination Mechanism. (ICCM) The TFPM implements an information management tool that gathers data and location of displaced persons across Yemen.
  • 300+ Downloads
    Updated August 15, 2018 | Dataset date: Jan 1, 2005-Dec 31, 2010
    This dataset updates: Every year
    Education Facilities
  • 400+ Downloads
    Updated August 15, 2018 | Dataset date: Jan 1, 2005-Dec 31, 2010
    This dataset updates: Every year
    Health Facilities
  • 400+ Downloads
    Updated August 15, 2018 | Dataset date: Apr 30, 2014
    This dataset updates: Every year
    Roads Network
  • 200+ Downloads
    Updated August 15, 2018 | Dataset date: Apr 30, 2014
    This dataset updates: Every year
    Sea Ports
  • 200+ Downloads
    Updated August 15, 2018 | Dataset date: Apr 30, 2014
    This dataset updates: Every year
  • 600+ Downloads
    Updated August 9, 2018 | Dataset date: May 15, 2017
    This dataset updates: Never
    The data set includes the Admin1 boundaries and population estimates summarized from three sources as separate attributes: LandScan (2015), WorldPop (2010, 2015, and 2020), and Gridded Population of the World, version 4 (2015, 2020). The IPC Food Insecurity Phase Classification for Near and Medium Term (2017) are also included as attributes.
  • 200+ Downloads
    Updated July 18, 2018 | Dataset date: Jan 1, 2008-Dec 31, 2017
    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 data portal.
  • 60+ Downloads
    Updated October 20, 2017 | 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/
  • 1100+ Downloads
    Updated August 21, 2017 | Dataset date: May 13, 2015
    This dataset updates: Every month
    The Food Consumption Score (FCS) dataset is based on the FCS indicator, which assigns a food security score based on food consumption and diets. This data is available sub-nationally for 38 countries, such as Nepal and Sierra Leone.
  • 1200+ Downloads
    Updated July 7, 2017 | Dataset date: Oct 27, 2016
    This dataset updates: Every month
    This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.
  • 500+ Downloads
    Updated December 14, 2016 | Dataset date: Dec 5, 2016
    This dataset updates: Every year
    Global Humanitarian Overview 2017 Figures
  • 600+ Downloads
    Updated July 17, 2016 | 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.
  • 100+ Downloads
    Updated April 12, 2016 | Dataset date: Apr 12, 2016
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on April 12, 2016. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: EA201304_ML1 Most likely food security outcome for January-March 2016 EA201304_ML2 Most likely food security outcome for April-June 2016 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 20+ Downloads
    Updated March 21, 2016 | Dataset date: Oct 1, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on December 31, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: EA201304_ML1 Most likely food security outcome for October-December 2014 EA201304_ML2 Most likely food security outcome for January-March 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated March 21, 2016 | Dataset date: Jul 17, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 17, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for April-June 2014 eastafrica201304_ML2 Most likely food security outcome for July-September 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated March 21, 2016 | Dataset date: Jul 1, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 26, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for July-September 2014 eastafrica201304_ML2 Most likely food security outcome for October-December 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated March 21, 2016 | Dataset date: Jan 1, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on August 07, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for January-March 2014 eastafrica201304_ML2 Most likely food security outcome for April-June 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated March 21, 2016 | Dataset date: Nov 14, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on November 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for October-December 2013 eastafrica201304_ML2 Most likely food security outcome for January-March 2014 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)