Key Figures
Data Completeness
10/27 Core Data 31 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
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
7 Datasets
Administrative Divisions
Populated Places
Humanitarian OpenStreetMap Team (HOT)
Roads
Humanitarian OpenStreetMap Team (HOT)
OCHA Sudan
Airports
Health & Education
5 Datasets
Health Facilities
Humanitarian OpenStreetMap Team (HOT)
Global Healthsites Mapping Project
Affected Schools
Population & Socio-economy
3 Datasets
Baseline Population by Age & Sex
Poverty Rate
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  • 200+ Downloads
    Updated October 12, 2019 | Dataset date: Jan 1, 1970-Dec 31, 2019
    This dataset updates: Every year
    Demographic and socio-economic indicators indicators for Sudan. Contains data from UNESCO's data portal.
  • 60+ Downloads
    Updated October 11, 2019 | Dataset date: Jan 1, 1997-Dec 31, 2019
    This dataset updates: Live
    The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
  • 700+ Downloads
    Updated October 9, 2019 | Dataset date: Oct 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 200+ Downloads
    Updated September 22, 2019 | Dataset date: Jan 1, 1970-Dec 31, 2019
    This dataset updates: Every year
    Contains data from UNESCO's data portal covering various indicators.
  • 70+ Downloads
    Updated September 22, 2019 | Dataset date: Jan 1, 1981-Dec 31, 2009
    This dataset updates: Every year
    Contains data from UNESCO's data portal covering various indicators.
  • 10+ Downloads
    Updated September 22, 2019 | Dataset date: Jan 1, 1971-Dec 31, 1981
    This dataset updates: Every year
    Contains data from UNESCO's data portal covering various indicators.
  • Updated September 16, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Sudan in 2018, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts).
  • Updated September 16, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    This layer contains information about the flood risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Sudan in 2018. Data sources: UNEP/UNISDR, GAR 2013. The main indicators used for the analysis were the percentage of district surface at flood risk and the maximum expected frequency of flood events with a 100-year return period.
  • Updated September 16, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Sudan in 2018. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1982-2017. The main indicators used for the analysis were the number of poor growing seasons observed in the time window of interest and the inter-annual rainfall variability.
  • Updated September 16, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    This layer contains information about the natural shock risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Sudan in 2018. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1982-2017.
  • Updated September 16, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    This layer contains information about the food security trend analysis - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Sudan in 2018. Data source: Integrated Phase Classification (IPC), 2010-2017. The main indicator used for the analysis was the recurrence of IPC Phases 3 or above out of the number of available rounds.
  • Updated September 16, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Sudan in 2018. Data sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2012, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data. The main indicators used for the analysis were the average ecological changes observed between 2001-2005 and 2009-2013 and the percentage of erosion-prone surface.
  • Updated September 16, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    This layer contains information about the numbers of food insecure people - by first-level administrative unit - estimated for the purposes of the Integrated Context Analysis (ICA) run in Mali in 2017. It should be noted that estimates of food insecure people were available only starting from 2014 onwards and, due to access constraints, some of the states were not covered by the survey. Data source: Integrated Phase Classification (IPC), 2014-2017. The main indicators used for the analysis were the percentage of food insecure population for long-term planning and the additional population figures in case of a major shock.
  • Updated September 16, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    Data source: Simple Spatial Survey Method (S3M), 2013. The main indicators used for the analysis were the overall prevalences of stunting and wasting, with thresholds consistent with the guidelines suggested by the World Health Organization (WHO).
  • 70+ Downloads
    Updated September 16, 2019 | Dataset date: Jan 1, 1989-Dec 31, 2018
    This dataset updates: Every year
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • Updated September 16, 2019 | Dataset date: Apr 22, 2018
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Sudan in 2018.
  • UNOSAT code: FL20190815SDN Preliminary satellite derived flood assessment in White Nile State, Sudan
  • UNOSAT code: FL20190815SDN This map illustrates satellite-detected surface water over Aljammalab region, White Nile State in Sudan as observed from Pleiades imagery acquired on 28 August 2019. Within the analysed area of about 14,000 ha, a total of 7,200 ha of lands appear to be flooded as of 28 August 2019. Waters seem to have retracted from the settlement as of 28 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • UNOSAT code: FL20190815SDN This map illustrates satellite-detected surface water in Khartoum State, Sudan as observed from SPOT-6 imagery acquired on 28 August 2019. Within the analysed extent of about 3,200 km2, a total about 97 km2 of lands appear to be flooded as of 28 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • UNOSAT code: FL20190815SDN This map illustrates satellite-detected surface water in White Nile District, Sudan as observed from SPOT-6 imagery acquired on 28 August 2019. Within the analysed area of about 240 sq km, a total 35 sq km of lands appear to be flooded as of 28 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • UNOSAT code: FL20190815SDN This map illustrates satellite-detected surface water in Sennar State, Sudan as observed from SPOT-6 imagery acquired on 28 August 2019. Within the analysed extent of about 700 km2, a total about 23 km2 of lands appear to be flooded as of 28 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • UNOSAT code: FL20190815SDN This map illustrates satellite-detected surface water North of Al Tura, White Nile State in Sudan as observed from Pleiades imagery acquired on 28 August 2019. Within the analysed area of about 12'700 ha, a total of 3700 ha of lands appear to be flooded as of 28 August 2019. However, the water seems to have retracted from the settlement as of 28 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated September 10, 2019 | Dataset date: Aug 19, 2019
    This dataset updates: Never
    UNOSAT code: FL20190815SDN This map illustrates satellite-detected surface water in the eastern part of the Red Sea district in Sudan as observed from Sentinel-2 image acquired on 15 August 2019. Within the analysed area of 1,500km2, 232 km2 of lands appear to be flooded as of 15 August 2019. This is a preliminary analysis and has not yet validated in the field. Please send your ground feedback to UNITAR-UNOSAT
  • UNOSAT code: FL20190815SDN This map illustrates satellite-detected surface water in White Nile State, Sudan as observed from Radarsat-2 imagery acquired on 27 August 2019. Within the analysed area of about 3,000 km2, a total 176 sq km of lands appear to be flooded as of 27 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • UNOSAT code: FL20190815SDN This map illustrates satellite-detected surface water in White Nile State, Sudan as observed from Sentinel-2 imagery acquired on 16 August 2019. Within the analysed extent of about 20,000 km2, a total about 1,485 km2 of lands appears to be flooded as of 16 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.