Key Figures
Data Completeness
5/26 Core Data 25 Datasets 14 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
7 Datasets
Internally-Displaced Persons
International Organization for Migration
Refugees & Persons of Concern
International Organization for Migration
Returnees
International Organization for Migration
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Missing Persons
Coordination & Context
5 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
Food Prices
WFP - World Food Programme
Geography & Infrastructure
6 Datasets
Administrative Divisions
Populated Places
Roads
Humanitarian OpenStreetMap Team (HOT)
Airports
Health & Education
5 Datasets
Health Facilities
Global Healthsites Mapping Project
Affected Schools
Population & Socio-economic Indicators
2 Datasets
Baseline Population by Age & Sex
Poverty Rate
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  • 300+ Downloads
    Updated November 24, 2015 | Dataset date: Feb 1, 2015
    This dataset updates: Never
    As part of its continual assessment of issues directly affecting community security and safety, OCVP conducted an extensive collection of primary data in the GAROWE district of Nugal region in Puntland. Further details at http://www.ocvp.org/ocvp5/index.php/publications/dcsa/40-garowe-district-conflict-and-security-assessment-report-2015
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Feb 1, 2015
    This dataset updates: Never
    As part of its continual assessment of issues directly affecting community security and safety, OCVP conducted an extensive collection of primary data in GALKAYO District - the capital of the central Mudug region of Somalia. Further details @ http://www.ocvp.org/ocvp5/index.php/publications/dcsa/52-galkayo-district-conflict-and-security-assessment-report-2015
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Apr 14, 2015
    This dataset updates: Never
    As part of its continual assessment of issues directly affecting community security and safety, OCVP conducted an extensive collection of primary data in the GEBILEY District of Somaliland.
  • 800+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 2014-Dec 31, 2014
    This dataset updates: Never
    2014 response data for Somalia. (Single Reporting Format) The data shows targets and response by cluster per month. The data is sourced from the humanitarian clusters in Somalia.
  • 1700+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 6, 2012
    This dataset updates: Every month
    The HoA Refugee Database, produced by the Humanitarian Information Unit of the U.S. Department of State, is a compilation of the UN High Commission of Refugees (UNHCR) population and demographic data reports for refugee camp populations in the Horn of Africa Region. Dadaab Camp in Kenya and Dollo Ado camp of Ethiopia are the focus; there are seven sites within Dadaab: Dagahaley Camp, Hagadera Camp, Ifo Camp, Ifo 2 East Camp, Ifo 2 West Camp, and Camp Kambioos, and five sites within Dollo Ado: Bokolmanyo Camp, Melkadida Camp, Kobe Camp, Hilaweyn Camp, and Buramino Camp. The HoA Refugee Database originated in July of 2011 and the current release is through December 2011. The HoA Refugee Database includes several demographic variables of populations within the refugee camps, including: individual population, household counts, gender, age and nationality. Geographic location, in the form of latitude and longitude coordinates, are provided for each of the camps.
  • 1400+ Downloads
    Updated November 24, 2015 | Dataset date: Feb 25, 2015
    This dataset updates: Never
    Information on projects that are ongoing or completed by members of the Consortium working in the three regions in Somalia: South Central, Puntland and Somaliland
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Mar 9, 2015
    This dataset updates: Every three months
    Data on funding to 2011-2014 response plans in Djibouti, Kenya, Somalia, South Sudan, Sudan and Ethiopia.
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 28, 2015
    This dataset updates: Every three months
    Aggregated data on Nutrition (GAM & SAM) for Somalia and South Sudan for 2013 - 2014
  • 300+ Downloads
    Updated November 24, 2015 | Dataset date: Aug 6, 2014
    This dataset updates: Every three months
    IDP numbers in Burundi, Djibouti, DRC, Eritrea, Ethiopia, Kenya, Rwanda, S.Sudan, Somalia, Sudan, Tanzania and Uganda since December 2007.
  • 400+ Downloads
    Updated November 24, 2015 | Dataset date: Aug 7, 2007
    This dataset updates: Every three months
    Refugee numbers in Burundi, Djibouti, DRC, Eritrea, Ethiopia, Kenya, Rwanda, S.Sudan, Somalia, Sudan, Tanzania and Uganda since December 2007.
  • 300+ Downloads
    Updated November 24, 2015 | Dataset date: Mar 1, 2014
    This dataset updates: Never
    Due to the growing prevalence of land disputes in Somaliland, comprehensive knowledge of the local perspectives of land ownership, rights, and conflict is needed for effective programming and policy development. Observatory of Conflict and Violence Prevention has conducted a baseline assessment in order to gain a better understanding of the factors and dynamics of issues surrounding land ownership, land rights and land conflict in Somaliland. Data was collected in December 2013 among 513 residents in Hargeisa, Gabiley, Borama, Salaxley, and Oodweyne districts. Focus group discussions and key informant interviews were also conducted within each district. Funding for this project was provided by the Japan Centre for Conflict Prevention (JCCP).
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Mar 1, 2009
    This dataset updates: Never
    This data shows the administrative regions of Somalia (gobollada)
  • 10+ Downloads
    Updated November 6, 2015 | Dataset date: Nov 3, 2015
    This dataset updates: Never
    This map illustrates satellite-detected areas of potentially saturated soils and probable flood waters in the Jowhar, Middle Shabelle region of Somalia. Using satellite imagery acquired 30 October 2015 and 02 January 2015, UNITAR-UNOSAT identified a total affected area of roughly 54,000 hectares in the Shabelle Dhexe and Hoose provinces. As of 30 October 2015, approximately 41,500 hectares of possibly saturated wet soils, as well as about 12,200 hectares of probable standing flood waters were detected over the districts of Jowhar, Balcad and, Afgooye. Due to the low spatial resolution of satellite data used for this analysis, the exact limit of flood water is uncertain. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates satellite-detected areas of potentially saturated soils and probable flood waters in the Buulobarde Shabelle region of Somalia. Using satellite imagery acquired 30 October 2015 and 02 January 2015, UNITAR-UNOSAT identified a total affected area of roughly 10,434 hectares in the Shabelle Dhexe and Hiraan provinces. As of 30 October 2015, approximately 10,088 hectares of possibly saturated wet soils, as well as about 346 hectares of probable standing flood waters were detected over the districts of Bulo Burto, Jalalaqsi, and Jowhar. Due to the low spatial resolution of satellite data used for this analysis, the exact limit of flood water is uncertain. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Updated October 14, 2015 | Dataset date: Sep 30, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: easternafrica201507_ML1 Most likely food security outcome for July-September 2015 easternafrica201507_ML2 Most likely food security outcome for October-December 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 October 14, 2015 | Dataset date: Jun 30, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on June 30, 2015. 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 2015 eastafrica201304_ML2 Most likely food security outcome for July-September 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 October 14, 2015 | Dataset date: Apr 3, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on April 03, 2015. 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 2015 eastafrica201304_ML2 Most likely food security outcome for April-June 2015 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)
  • 30+ Downloads
    Updated October 14, 2015 | 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 October 14, 2015 | 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 October 14, 2015 | 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)
  • 20+ Downloads
    Updated October 14, 2015 | 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 October 14, 2015 | 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)
  • 10+ Downloads
    Updated October 14, 2015 | Dataset date: Jul 14, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 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 July-September 2013 eastafrica201304_ML2 Most likely food security outcome for October-December 2013 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 October 14, 2015 | Dataset date: Jan 14, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on January 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 January-March 2013 eastafrica201304_ML2 Most likely food security outcome for April-June 2013 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)
  • 200+ Downloads
    Updated September 24, 2015 | Dataset date: Jan 2, 2012
    This dataset updates: Never
    Somalia road network