Data Grid Completeness
9/27 Core Data 30 Datasets 12 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)
Coordination & Context
9 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
4 Datasets
Affected Schools
Population & Socio-economy
3 Datasets
Baseline Population by Age & Sex
Poverty Rate
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  • 10+ Downloads
    Updated March 16, 2020 | Dataset date: Sep 30, 2019
    This dataset updates: As needed
    This data-set presents the US$ value of annual imports of medicines from 2013 published by the Central Bank of Sudan on a quarterly basis on its website www.cbos.gov.sd
  • 80+ Downloads
    Updated March 16, 2020 | Dataset date: Sep 30, 2019
    This dataset updates: As needed
    Rainfall distribution in Sudan for a 2010-2019. The data-set was created using observed data from the Sudan Meteorological Authority. All measurements in millimeters.
  • 70+ Downloads
    Updated March 12, 2020 | Dataset date: Dec 31, 2019
    This dataset updates: Every year
    The number of infectious disease outbreaks as reported by Sudan’s Ministry of Health in 2019. Outbreaks reported include Cholera, Dengue Fever, Diphtheria, Rift Valley Fever and Chikugunya.
  • 100+ Downloads
    Updated March 10, 2020 | Dataset date: Mar 23, 2015
    This dataset updates: Never
    The INFORM Greater Horn of Africa model is part of an initiative of Intergovernmental Authority on Development (IGAD) and OCHA to improve IGAD’s ability to analyse, visualise and disseminate information to support the prevention, preparedness and response to humanitarian crises in the region. The model will be updated regularly to support regional coordination and prioritise humanitarian, development, risk management and resilience investments.
  • 600+ Downloads
    Updated March 10, 2020 | Dataset date: Dec 5, 2016
    This dataset updates: Every year
    Global Humanitarian Overview 2017 Figures
  • 30+ Downloads
    Updated March 10, 2020 | Dataset date: Mar 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: Mar 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.
  • 40+ Downloads
    Updated March 10, 2020 | Dataset date: Mar 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.
  • 50+ Downloads
    Updated March 10, 2020 | Dataset date: Mar 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.
  • 10+ Downloads
    Updated March 10, 2020 | Dataset date: Mar 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.
  • 200+ Downloads
    Updated March 5, 2020 | Dataset date: Jan 1, 2015-Dec 31, 2020
    This dataset updates: Every year
    This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning.
  • 200+ Downloads
    Updated February 20, 2020 | Dataset date: Jul 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.
  • 100+ Downloads
    Updated December 13, 2019 | Dataset date: Jan 1, 2010-Dec 31, 2020
    This dataset updates: Every year
    This dataset shows the number of people in need(PiN), funds required and funds received by country and over the years, from 2011 to 2020.
  • 60+ Downloads
    Updated December 6, 2019 | Dataset date: Oct 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: Sep 30, 2019
    This dataset updates: As needed
    Table comparing Sudan’s imports of medicine for the periods of Jan-Sep from 2013 to 2019.
  • 60+ Downloads
    Updated December 3, 2019 | Dataset date: Oct 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: Dec 31, 2015
    This dataset updates: Never
    EDUCATION Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% )
  • 20+ Downloads
    Updated Live | Dataset date: Jan 1, 2008-Dec 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: Sep 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).
  • 400+ Downloads
    Updated October 31, 2019 | Dataset date: Sep 30, 2019
    This dataset updates: Every six months
    The dataset contains households and individual number of returnees at village level. The dataset is gender and age dis-aggregated with category of returnees i.e. IDPs or Refugees.
  • 80+ Downloads
    Updated October 30, 2019 | Dataset date: Oct 29, 2019
    This dataset updates: As needed
    This data shows the locations of hospital in Khartoum State
  • 70+ Downloads
    Updated October 28, 2019 | Dataset date: Apr 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: Jan 1, 1970-Dec 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: 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).
  • 10+ Downloads
    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.