Key Figures
Data Completeness
3/26 Core Data 49 Datasets 20 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.
Legend:
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
Expand
Affected People
9 Datasets
Coordination & Context
12 Datasets
Geography & Infrastructure
8 Datasets
Health & Education
4 Datasets
Population & Socio-economic Indicators
3 Datasets
Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
More
  • 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.
  • 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).
  • 100+ 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.
  • 10+ 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)
  • 20+ 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)
  • 10+ 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
  • 10+ Downloads
    Updated August 28, 2015 | Dataset date: May 1, 2015
    This dataset updates: Every month
    Topline figures of OCHA Somalia's operations.
  • 10+ Downloads
    Updated August 14, 2015 | Dataset date: Nov 20, 2006
    This dataset updates: Never
    This is "Flood vectors - Radarsat-1 (20 November 2006)" of the Flood analysis for Somalia which began on 18 November 2006. It includes 6,648 satellite detected water bodies with a spatial extent of 186.67 square kilometers derived from the Radarsat-1 imag...
  • 20+ Downloads
    Updated August 10, 2015 | Dataset date: Dec 17, 2014
    This dataset updates: Never
    This map illustrates areas of IDP settlement changes within the area of Hargeisa, Somalia, occurring between 20 August 2012 and 02 November 2014, as seen by the Pleiades and GeoEye-1 satellites. UNOSAT analysis revealed one new IDP settlement and one expanded IDP settlement by 02 November 2014. However, 4 other settlement areas contracted and 2 settlement areas did not change. As of 02 November 2014, the IDP settlements occupy a total area of 71.06 ha, which represents an increase of 3.96 ha since 20 August 2012. A total of 7,108 IDP structures were detected as of 02 November 2014.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: Nov 10, 2014
    This dataset updates: Never
    This map illustrates IDPs structure density in the Daynile and Dharkenley districts in Mogadishu, Somalia, as detected in a Pleiades satellite image collected on 9 October 2014. UNOSAT analysis detected a total of 34,806 IDPs structures in these areas, which includes 14,655 temporary housing structures, 213 tukul-style structures, 4,428 shelters and 15,510 buuls. It is likely that subtle differences between temporary housing structures and shelters will lead to significant confusion between those two classes, though the overall structural count is accurate. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT
  • 10+ Downloads
    Updated August 10, 2015 | Dataset date: Jun 30, 2014
    This dataset updates: Never
    This map illustrates probable IDP shelters in Luuq, Somalia, and surrounding areas, as seen in satellite imagery collected by the WorldView-2 satellite on 07 June 2014. In this area, UNOSAT located 1,781 shelters (391 transitional housing and 1,390 improvised shelters) in 27 apparent IDP settlements. Previous analysis using an image from 12 December 2012 located 1,034 shelters in 10 settlements. The updated analysis therefore shows an increase in IDP shelters of 72%, and new IDP settlements are mainly located on the periphery of the town. Note that some areas of the image were obscured by cloud cover and thus not analyzed. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 10+ Downloads
    Updated August 10, 2015 | Dataset date: Oct 28, 2014
    This dataset updates: Never
    This map illustrates IDP shelter changes near Doolow, Somalia as visible in satellite imagery acquired 15 September 2014. As of 15 September 2014, within Qansalay IDP settlement south west of Doolow, 904 shelters and 11 administrative buildings were detected and within Kabasa IDP settlement east of the city, 1,457 shelters and 20 administrative buildings were located and marked. Settlement conditions have changed greatly since previous analysis. As 3 March 2013, 99% of the shelters were improvised structures (buuls). As 15 September 2014, overall the number of detected shelters decreased but more importantly converted from improvised shelters into temporary housing or semi-permanent structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 30+ Downloads
    Updated August 10, 2015 | Dataset date: Jul 3, 2014
    This dataset updates: Never
    This map illustrates probable IDP shelters in Kismayo, Somalia as seen in satellite imagery collected by the WorldView-1 satellite on 3 May 2014. In this area UNOSAT located 2,952 shelters in 64 apparent IDP settlements. However, poor image quality, density of shelters, and varied construction material introduces significant uncertainty into this analysis. The IDP settlement areas were also compared to an image from 05 March 2014 collected by the WorldView-1 satellite to give indications on whether settlements were new, had closed, or were increasing or decreasing in size. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.