Data Completeness
14/27 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
Global Healthsites Mapping Project
Humanitarian OpenStreetMap Team (HOT)
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 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)
  • 20+ 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)
  • 60+ Downloads
    Updated September 29, 2015 | Dataset date: Aug 28, 2015
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction in the city of Aden, Aden Governorate, Yemen. Using satellite imagery acquired 21 August 2015, 10 May 2015, and 31 December 2014, UNITAR-UNOSAT identified a total of 839 affected structures, a 30 percent increase from the previous 10 May 2015 analysis. Approximately 356 structures were destroyed, 202 severely damaged, and 270 moderately damaged. Additionally, 50 impact craters were found within the city, the majority of which were located in the vicinity of Aden International Airport. A total of 13 medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Updated August 10, 2015 | Dataset date: Jun 3, 2015
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction at Sana'a International Airport, Sana'a Governorate, Yemen. Using satellite imagery acquired 15 May 2015 and 12 December 2014, UNITAR-UNOSAT identified a total of 70 affected structures and transportation vehicles. Approximately 18 of these were destroyed, 32 severely damaged, and 20 moderately damaged. Additionally, 32 impact craters were found. One medical facility was identified within 500 meters of impact craters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Updated August 10, 2015 | Dataset date: May 19, 2015
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction in the city of Aden, Aden Governorate, Yemen. Using satellite imagery acquired 10 May 2015, 15 April 2015, and 31 December 2014, UNITAR-UNOSAT identified a total of 642 affected structures, 258 of which were temporarily assembled for a probable open street market. Approximately 327 structures were destroyed, 153 severely damaged, and 162 moderately damaged. Additionally, 38 impact craters were found within the city, the majority of which were located in the vicinity of Aden International Airport. A total of 13 medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 60+ Downloads
    Updated August 10, 2015 | Dataset date: Jul 3, 2015
    This dataset updates: Never
    This map illustrates satellite-detected areas of destruction in the majority of Taiz, Yemen, as seen by the WorldView-3 satellite on 26 June 2015. UNOSAT identified a total of 328 damaged buildings (54 destroyed, 66 severely damaged, 156 moderately damaged, 52 possibly damaged) as well as 410 areas with significant amounts of debris. A total of 11 health centers are possibly damaged as they are within 100 meters of other destroyed or damaged buildings. This is a preliminary analysis and has not yet been validated in the field. Note that satellite imagery analysis will not capture all damage to buildings and instead only detects significant or catastrophic amounts of structural damage. Please send ground feedback to UNITAR - UNOSAT.
  • 70+ Downloads
    Updated August 10, 2015 | Dataset date: Jun 3, 2015
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction in the city of Sana'a, Sana'a Governorate, Yemen. Using satellite imagery acquired 15 May 2015, 12 and 31 December 2014, UNITAR-UNOSAT identified a total of 440 affected structures. Approximately 74 of these structures were destroyed, 106 severely damaged, and 260 moderately damaged. Additionally, 35 impact craters were found. A total of four medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 40+ Downloads
    Updated August 10, 2015 | Dataset date: May 20, 2015
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction in the city of Sadah, Saada Governorate, Yemen. Using satellite imagery acquired 17 May 2015 and 7 January 2015, UNITAR-UNOSAT identified a total of 1,171 affected structures, approximately 273 structures were destroyed, 271 were severely damaged, and 627 were moderately damaged. Additionally, 35 impact craters were found within the city, the majority of which were located along the runway of Sadah City Airport. A total of 4 medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.