Data Grid Completeness
10/27 Core Data 36 Datasets 15 Organisations Show legend
What is Data Grid Completeness?
Data Grid 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 Grid 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
Returnees
International Organization for Migration
Humanitarian Profile Locations
International Organization for Migration
Humanitarian Needs
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Food Security & Nutrition
3 Datasets
Food security
Integrated Food Security Phase Classification (IPC)
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
8 Datasets
Administrative Divisions
Populated Places
Humanitarian OpenStreetMap Team (HOT)
Roads
Humanitarian OpenStreetMap Team (HOT)
OCHA Sudan
Airports
Humanitarian OpenStreetMap Team (HOT)
Health & Education
6 Datasets
Health Facilities
Global Healthsites Mapping Project
Humanitarian OpenStreetMap Team (HOT)
Affected Schools
Population & Socio-economy
3 Datasets
Baseline Population by Age & Sex
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 50+ Downloads
    Updated March 10, 2020 | Dataset date: March 10, 2020-March 10, 2020
    This dataset updates: As needed
    The depiction and use of boundaries, geographic names and related data shown on maps and included in lists, tables, documents, and databases are not warranted to be error free nor do they necessarily imply official endorsement or acceptance by the United Nations. This file is for planning purpose only.
  • 30+ Downloads
    Updated March 10, 2020 | Dataset date: March 10, 2020-March 10, 2020
    This dataset updates: As needed
    The depiction and use of boundaries, geographic names and related data shown on maps and included in lists, tables, documents, and databases are not warranted to be error free nor do they necessarily imply official endorsement or acceptance by the United Nations. This file is for planning purpose only.
  • 60+ Downloads
    Updated March 10, 2020 | Dataset date: March 10, 2020-March 10, 2020
    This dataset updates: As needed
    The depiction and use of boundaries, geographic names and related data shown on maps and included in lists, tables, documents, and databases are not warranted to be error free nor do they necessarily imply official endorsement or acceptance by the United Nations. This file is for planning purpose only.
  • 70+ Downloads
    Updated March 10, 2020 | Dataset date: March 10, 2020-March 10, 2020
    This dataset updates: As needed
    The depiction and use of boundaries, geographic names and related data shown on maps and included in lists, tables, documents, and databases are not warranted to be error free nor do they necessarily imply official endorsement or acceptance by the United Nations. This file is for planning purpose only.
  • 30+ Downloads
    Updated March 10, 2020 | Dataset date: March 10, 2020-March 10, 2020
    This dataset updates: As needed
    The depiction and use of boundaries, geographic names and related data shown on maps and included in lists, tables, documents, and databases are not warranted to be error free nor do they necessarily imply official endorsement or acceptance by the United Nations. This file is for planning purpose only.
  • 400+ Downloads
    Updated February 20, 2020 | Dataset date: July 25, 2019-July 25, 2019
    This dataset updates: As needed
    This master list of health facilities was developed from a variety of government and non-government sources from 50 countries in sub-Saharan Africa. It uses multiple geocoding methods to provide a comprehensive spatial inventory of 98 745 public health facilities. Each data record represents a health facility and has 8 descriptive variables – Location identifiers including: country, first level administrative division, latitude, longitude and LL source (source of the coordinates). Coordinates are rounded off to four decimal places for uniformity, allowing an accuracy of 5–10 metres in decimal degrees coordinate format. This geocoded master facility list has been made publicly and freely available through both the figshare repository and through the World Health Organization’s Global Malaria Programme in Microsoft Excel format.
  • 80+ Downloads
    Updated December 6, 2019 | Dataset date: October 27, 2019-October 27, 2019
    This dataset updates: As needed
    This excel sheet is from the government of Sudan (HAC) as of 27th of October 2019.
  • 40+ Downloads
    Updated December 4, 2019 | Dataset date: September 30, 2019-September 30, 2019
    This dataset updates: As needed
    Table comparing Sudan’s imports of medicine for the periods of Jan-Sep from 2013 to 2019.
  • 80+ Downloads
    Updated December 3, 2019 | Dataset date: October 27, 2019-October 27, 2019
    This dataset updates: Every year
    Flood affected people in Sudan by state for the last few years.
  • 200+ Downloads
    Updated November 10, 2019 | Dataset date: December 31, 2015-December 31, 2015
    This dataset updates: Never
    EDUCATION Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% )
  • 30+ Downloads
    Updated Live | Dataset date: January 01, 2008-December 31, 2027
    This dataset updates: Live
    List of airports in Sudan, with latitude and longitude. Unverified community data from http://ourairports.com/countries/SD/
  • 400+ Downloads
    Updated October 31, 2019 | Dataset date: September 30, 2019-September 30, 2019
    This dataset updates: Every six months
    This dataset reflects the aggregation of the registration exercises conducted in Sudan since 2010, contains IDPs, households and Returnees by age and sex. All DTM registration and assessment exercises were jointly conducted in collaboration with Humanitarian Aid Commission (HAC).
  • 100+ Downloads
    Updated October 30, 2019 | Dataset date: October 29, 2019-October 29, 2019
    This dataset updates: As needed
    This data shows the locations of hospital in Khartoum State
  • 100+ Downloads
    Updated October 28, 2019 | Dataset date: April 17, 2019-April 17, 2019
    This dataset updates: As needed
    Sudan Hazards datasets including data on AWD outbreak, Armed tribal conflict, Drought and Floods.
  • 600+ Downloads
    Updated September 22, 2019 | Dataset date: January 01, 1970-December 31, 2019
    This dataset updates: Every year
    Contains data from UNESCO's data portal covering various indicators.
  • 10+ Downloads
    Updated September 16, 2019 | Dataset date: November 22, 2018-November 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).
  • 10+ Downloads
    Updated September 16, 2019 | Dataset date: November 22, 2018-November 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.
  • 20+ Downloads
    Updated September 16, 2019 | Dataset date: November 22, 2018-November 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.
  • 10+ Downloads
    Updated September 16, 2019 | Dataset date: November 22, 2018-November 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: November 22, 2018-November 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: November 22, 2018-November 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.
  • 10+ Downloads
    Updated September 16, 2019 | Dataset date: November 22, 2018-November 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: November 22, 2018-November 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).
  • 10+ Downloads
    Updated September 16, 2019 | Dataset date: April 22, 2018-April 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.
  • Updated September 10, 2019 | Dataset date: September 09, 2019-September 09, 2019
    This dataset updates: Never
    UNOSAT code: FL20190815SDN Preliminary satellite derived flood assessment in White Nile State, Sudan