Key Figures
Data Completeness
11/27 Core Data 28 Datasets 13 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
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Affected People
8 Datasets
Internally-Displaced Persons
International Organization for Migration
Returnees
International Organization for Migration
Humanitarian Profile Locations
International Organization for Migration
UN Operational Satellite Applications Programme (UNOSAT)
UN Operational Satellite Applications Programme (UNOSAT)
UN Operational Satellite Applications Programme (UNOSAT)
Humanitarian Needs
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
8 Datasets
3w - Who is doing what where
International Aid Transparency Initiative
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Transportation Status
Damaged & Destroyed Buildings
Food Security & Nutrition
3 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
6 Datasets
Administrative Divisions
Populated Places
Roads
Humanitarian OpenStreetMap Team (HOT)
OCHA Sudan
Airports
Health & Education
4 Datasets
Health Facilities
Humanitarian OpenStreetMap Team (HOT)
Global Healthsites Mapping Project
Affected Schools
Population & Socio-economic Indicators
2 Datasets
Baseline Population
Baseline Population by Age & Sex
Poverty Rate
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  • 80+ Downloads
    Updated October 30, 2016 | Dataset date: Jun 1, 2014
    This dataset updates: Every year
    The zipped shape-file contains point data on the location of nutrition feeding centers in East Darfur State, Republic of the Sudan. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
  • 600+ Downloads
    Updated October 27, 2016 | Dataset date: Jun 1, 2014
    This dataset updates: Every year
    The zipped shape-files contain point data on the location of nutrition feeding centers in the different states of the Republic of the Sudan. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
  • 70+ Downloads
    Updated October 20, 2016 | Dataset date: Jun 16, 2014
    This dataset updates: Every year
    The zipped shape file contains data on Nutrition Feeding Centers in Central Darfur, Sudan.
  • 60+ Downloads
    Updated October 20, 2016 | Dataset date: Jun 1, 2014
    This dataset updates: Every year
    The zipped shape file contains point data on Blue Nile State Nutrition Feeding Centers in Sudan
  • 10+ Downloads
    Updated September 20, 2016 | Dataset date: Aug 12, 2016
    This dataset updates: Never
    This map illustrates satellite detected waters over the central part of Kassala state in Sudan extracted from Landsat-8 imagery (30m) acquired 05 June 2016 (Pre-event) and 08 August 2016 (Post-event). Since late June, it has been observed that the water expansion are predominantly located in areas along the Gash river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows that most of the water expansion is around agricultural and vegetated areas.This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT
  • 30+ Downloads
    Updated September 20, 2016 | Dataset date: Aug 12, 2016
    This dataset updates: Never
    This map illustrates satellite-detected waters around the Khartoum City in Sudan as detected in satellite imagery acquired by the TerraSAR-X satellite on 11 August 2016 in Khartoum State. UNOSAT analysis shows an expansion of water of~ 90Km2 (over the analysed area) particularly located in the left bank of White Nile without causing floods inside build up areas. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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 September 20, 2016 | Dataset date: Aug 17, 2016
    This dataset updates: Never
    This map illustrates satellite-detected possible flood water & saturated soil over Sennar State, extracted from Radarsar-2 imagery acquired 12 August 2016. UNOSAT has analysed the area using a Radarsat-2 image acquired on 12 August 2016 to identify and delineate the Possible Flood Water & Saturated / Wet Soil. According to satellite derived analysis some areas within Sennar State seem to be flooded. In addition, and the Blue Nile increased its size especially in the right bank, without apparently causing floods inside build up areas.The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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 September 20, 2016 | Dataset date: Aug 17, 2016
    This dataset updates: Never
    This map illustrates satellite-detected possible flood water & saturated soil over Khartoum City in Suda nextracted from SPOT-7 imagery on 15 August 2016 in Khartoum State. UNOSAT analysis shows, an expansion of possible flood water and saturated soil over areas particulary located on right bank of the Blue Nile and White Nile, without causing floods inside build up areas. 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 September 20, 2016 | Dataset date: Aug 18, 2016
    This dataset updates: Never
    This map illustrates evolution of satellite detected waters over the central part of Khartoum City, Sudan, extracted from TerraSAR-X imagery (3 m) acquired on 11 August 2016 and SPOT-7 on 15 August 2016 (1.5 m). During this period, it has been observed that the water expansion is predominantly located in areas along Nile river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows water expansion on the right bank of the Blue Nile and on the left and right banks of the White Nile. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated September 20, 2016 | Dataset date: Aug 20, 2016
    This dataset updates: Never
    This map illustrates satellite detected possible flood water & saturated soil over Al Jazeera Area, in Al Jazeera State, extracted from Radarsart-2 imagery (12.5 m) acquired on 18 August 2016. According to satellite derived analysis some areas within Al Jazeera State seem to be flooded. Possible flooded agricultural areas and saturated soils are particularly visible over Eastern Al Jazeera Locality. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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 September 20, 2016 | Dataset date: Aug 23, 2016
    This dataset updates: Never
    This map illustrates satellite detected possible flood water & saturated soil over Wad Madani, in Al Jazeera State, extracted from Radarsat-2 imagery (12 m) acquired on 18 August 2016. According to satellite derived analysis some areas within Al Jazeera State seem to be flooded. Possible flooded agricultural areas and saturated soils are particularly visible over Southern Al Jazeera Locality. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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 September 20, 2016 | Dataset date: Aug 19, 2016
    This dataset updates: Never
    This map illustrates satellite-detected possible flood water & saturated soil over Abu Hamad area in River Nile State, Sudan, extracted from Spot-6 imagery of 14 August 2016. UNOSAT analysis shows an increase of floods water / saturated soil around Nileside west and Abu Tin areas. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT
  • 10+ Downloads
    Updated August 23, 2016 | Dataset date: Aug 17, 2016
    This dataset updates: Never
    This map illustrates satellite-detected possible flood water & saturated soil over Khartoum City in Suda nextracted from SPOT-7 imagery on 15 August 2016 in Khartoum State. UNOSAT analysis shows, an expansion of possible flood water and saturated soil over areas particulary located on right bank of the Blue Nile and White Nile, without causing floods inside build up areas. 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 August 23, 2016 | Dataset date: Aug 12, 2016
    This dataset updates: Never
    This map illustrates satellite detected waters over the central part of Kassala state in Sudan extracted from Landsat-8 imagery (30m) acquired 05 June 2016 (Pre-event) and 08 August 2016 (Post-event). Since late June, it has been observed that the water expansion are predominantly located in areas along the Gash river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows that most of the water expansion is around agricultural and vegetated areas.This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT
  • This map illustrates evolution of satellite detected waters over the central part of Khartoum City, Sudan, extracted from TerraSAR-X imagery (3 m) acquired on 11 August 2016 and SPOT-7 on 15 August 2016 (1.5 m). During this period, it has been observed that the water expansion is predominantly located in areas along Nile river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows water expansion on the right bank of the Blue Nile and on the left and right banks of the White Nile. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates satellite-detected possible flood water & saturated soil over Abu Hamad area in River Nile State, Sudan, extracted from Spot-6 imagery of 14 August 2016. UNOSAT analysis shows an increase of floods water / saturated soil around Nileside west and Abu Tin areas. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT
  • 10+ Downloads
    Updated August 22, 2016 | Dataset date: Aug 12, 2016
    This dataset updates: Never
    This map illustrates satellite-detected waters around the Khartoum City in Sudan as detected in satellite imagery acquired by the TerraSAR-X satellite on 11 August 2016 in Khartoum State. UNOSAT analysis shows an expansion of water of~ 90Km2 (over the analysed area) particularly located in the left bank of White Nile without causing floods inside build up areas. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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.
  • 500+ Downloads
    Updated August 18, 2016 | Dataset date: Jun 30, 2015
    This dataset updates: Every three months
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by state and sector
  • 300+ Downloads
    Updated August 15, 2016 | Dataset date: Jul 14, 2016
    This dataset updates: Every three months
    Through SAFE, WFP works with food insecure people to support their long-term food security and sustainable livelihoods. For additional information on SAFE, see http://www.wfp.org/climate-change/initiatives/safe. The Microsoft Excel spread sheet contains details of the villages supported under WFP's Safe Access to Fuel and Energy (SAFE) Initiative. The data set is a work in progress. It will be replaced once an updated copy is available.
  • 400+ Downloads
    Updated August 15, 2016 | Dataset date: Aug 7, 2016
    This dataset updates: Every three months
    The Microsoft Excel spreads sheet contains point data on refugee camps in the states of Al Gezira, Gadaref, Kassala and White Nile. Data is organized by State, Locality, Camp or Site Name and XY coordinates in Decimal Degrees.
  • 400+ Downloads
    Updated August 15, 2016 | Dataset date: Jul 14, 2016
    This dataset updates: Never
    WFP Nutrition Sites. The Microsoft Excel spread sheet contains a record of the nutrition sites in the states of Central Darfur, East Darfur, Kassala, North Darfur, Red Sea, South Darfur and West Darfur. It includes details of the Cooperating Partners, States, Localities, Sites, Programs by Type and XY coordinates (in Decimal Degrees).
  • 500+ Downloads
    Updated August 8, 2016 | Dataset date: Jul 14, 2016
    This dataset updates: Every year
    The Microsoft Excel spreadsheet contains XY coordinates (in Decimal Degrees) of all the localities in Darfur, Sudan.
  • 200+ Downloads
    Updated June 23, 2016 | Dataset date: Dec 31, 2015
    This dataset updates: Never
    EDUCATION Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% )
  • 400+ Downloads
    Updated June 21, 2016 | Dataset date: Apr 21, 2016
    This dataset updates: Every three months
    This dataset contains a list of the countries affected by the El Niño as at April 21, 2016 as reported jointly by FAO, the Global Food Security Cluster and WFP on 21 April 2016 in the 2015-2016 El Niño: WFP and FAO Overview update. According to the World Bank, El Niño is likely to have a negative impact in more isolated local food markets, and many countries are already facing increased food prices. Food Security Cluster partners have implemented preparedness activities and are responding in countries where the effects of El Niño have materialised, such as Ethiopia, Papua New Guinea, Malawi and throughout Central America. In Southern Africa, many areas have seen the driest October-December period since at least 1981, and some 14 million people in the region are already facing hunger, which adds to fears of a spike in the numbers of the food insecure later this year through 2017.
  • 200+ 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)