Data Grid Completeness
11/27 Core Data 35 Datasets 14 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
11 Datasets
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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  • 30+ Downloads
    Updated Live | Dataset date: November 06, 2020-November 06, 2020
    This dataset updates: Live
    The AWSD is a global compilation of reports on major security incidents involving deliberate acts of violence affecting aid workers. Incident data is collected both from public sources, through systematic media filtering using a data scraper tool developed for Humanitarian Outcomes, and from information provided directly to the project by aid organisations and operational security entities. The project also maintains agreements with a number of regional and field-level security consortiums for direct information sharing and verification of incidents. Incident reports are crosschecked and verified with the relevant agencies on an annual basis via our verification project. The latest, unverified incidents are provided on the online database with the qualification that the numbers are provisional and may change. For more: https://aidworkersecurity.org/about
  • 4000+ Downloads
    Updated December 27, 2020 | Dataset date: January 01, 2011-December 31, 2019
    This dataset updates: Every month
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • 100+ Downloads
    Updated December 26, 2020 | Dataset date: August 01, 2020-August 01, 2020
    This dataset updates: As needed
    The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
  • 2900+ Downloads
    Updated December 18, 2020 | Dataset date: January 01, 2017-November 30, 2020
    This dataset updates: As needed
    This page provides the data published in the Education in Danger Monthly News Brief. All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
  • 900+ Downloads
    Updated December 16, 2020 | Dataset date: January 01, 1970-December 31, 2019
    This dataset updates: Every three months
    Education indicators for Sudan. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: National Monitoring (made 2020 September), SDG 4 Global and Thematic (made 2020 September), Demographic and Socio-economic (made 2020 September)
  • 100+ Downloads
    Updated December 10, 2020 | Dataset date: January 01, 2019-October 31, 2020
    This dataset updates: As needed
    This page includes information on violent and threatening incidents affecting aid operations, civilians, education, health care, refugees and IDPs in the Sudan to ensure staff safety and better response outcomes.
  • 300+ Downloads
    Updated December 10, 2020 | Dataset date: January 01, 2020-December 09, 2020
    This dataset updates: As needed
    Daily Covid-19 cases in african countries : daily infected, recovered and deceased and cumulative cases of infected, recovered and deceased since the beginning of the pandemic.
  • 20+ Downloads
    Updated December 10, 2020 | Dataset date: December 01, 2020-December 01, 2020
    This dataset updates: Every six months
    The data shows Who is doing What and Where by locality in Sudan
  • 10+ Downloads
    Updated December 9, 2020 | Dataset date: November 22, 2020-November 22, 2020
    This dataset updates: Every six months
    Sudan 3Ws data for November 2020
  • 20+ Downloads
    Updated November 24, 2020 | Dataset date: January 01, 2000-December 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
  • 200+ Downloads
    Updated November 24, 2020 | Dataset date: January 01, 2000-December 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
  • 1600+ Downloads
    Updated November 20, 2020 | Dataset date: December 31, 2014-August 31, 2020
    This dataset updates: Every year
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future humanitarian response. This dataset includes a list of humanitarian organizations by state and sector currently registered in Sudan. If you have updates for the 3W please contact OCHASudan@un.org.
  • 20+ Downloads
    Updated November 17, 2020 | Dataset date: July 26, 2020-July 26, 2020
    This dataset updates: As needed
    Sudan Settlement 26 July 2020
  • 100+ Downloads
    Updated November 13, 2020 | Dataset date: November 10, 2020-November 10, 2020
    This dataset updates: As needed
    Sudan - Flood affected Areas 2020, Destroyed Houses completely/ partially and affected people and Deaths.
  • 40+ Downloads
    Updated November 12, 2020 | Dataset date: November 10, 2020-November 10, 2020
    This dataset updates: As needed
    This data is showing the number of affected people by floods per year from 2013 to 2020
  • 500+ Downloads
    Updated November 6, 2020 | Dataset date: January 20, 2020-January 20, 2020
    This dataset updates: Every year
    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.
  • 40+ Downloads
    Updated November 6, 2020 | Dataset date: January 20, 2020-January 20, 2020
    This dataset updates: Every year
    The dataset contains IDPs by state and year
  • 90+ Downloads
    Updated November 4, 2020 | Dataset date: October 06, 2020-October 06, 2020
    This dataset updates: As needed
    The data shows the number of people, Household, houses damaged and destroyed by floods and was shared by the government of Sudan (HAC)
  • 20+ Downloads
    Updated October 21, 2020 | Dataset date: May 01, 2018-July 31, 2018
    This dataset updates: As needed
    Sudan-El Fasher profiling exercise of urban/out-of-camp IDPs and host communities with data collected July 2018 (report published December 2019). The exercise included a household survey administered to a sample of 3,000 households in the urban and peri urban areas of El Fasher, Abu Shouk Camp and El Salam Camp. Data was processed and anonymized with recoding and local suppressions.
  • 20+ Downloads
    Updated September 14, 2020 | Dataset date: July 08, 2020-July 10, 2021
    This dataset updates: Every year
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
  • 400+ Downloads
    Updated September 9, 2020 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: As needed
    This dataset is compiled from two categories of sources: (a) verified security events submitted to Insecurity Insight by 30 Aid in Danger partner agencies; and (b) publicly reported events identified by Insecurity Insight and published in the Aid in Danger Monthly News Brief. Events are categorised by date, country, type of organisation affected and event category, based on standard definitions.
  • 400+ Downloads
    Updated September 9, 2020 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: As needed
    This dataset contains events in which an aid worker was involved in a road safety accident (RSA). Categorized by country.
  • 200+ Downloads
    Updated September 4, 2020 | Dataset date: August 31, 2020-August 31, 2020
    This dataset updates: As needed
    The new and emerging access constraints that people are currently experiencing because of the COVID-19 outbreak.
  • 4100+ Downloads
    Updated September 3, 2020 | Dataset date: September 03, 2020-September 03, 2020
    This dataset updates: Every year
    Sudan administrative level 0 (country), 1 (state), and 2 (district) boundary files REFERENCE YEAR: 2020 Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
  • 100+ Downloads
    Updated September 2, 2020 | Dataset date: August 31, 2020-August 31, 2020
    This dataset updates: Every two weeks
    This dataset contains scores for humanitarian access constraints into country, constraints within country, impacts the constraints have led to as well as the mitigation strategies in place to limit the impact. The scores have the following interpretations: 0 = NA, 1 = No or open, 2 = partially open/closed, 3 = Yes or closed