Data Grid Completeness
9/27 Core Data 32 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
11 Datasets
3w - Who is doing what where
International Aid Transparency Initiative
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Transportation Status
WFP - World Food Programme
WFP - World Food Programme
Damaged & Destroyed Buildings
Food Security & Nutrition
3 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
9 Datasets
Administrative Divisions
Populated Places
Humanitarian OpenStreetMap Team (HOT)
Roads
Humanitarian OpenStreetMap Team (HOT)
WFP - World Food Programme
WFP - World Food Programme
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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  • 700+ Downloads
    Updated May 1, 2020 | Dataset date: Jan 1, 1970-Dec 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: Students and Teachers (made 2020 February), Education Expenditure and Funding (made 2020 February), School Resources and Teaching Conditions in Africa (made 2020 February), SDG 4 Global and Thematic (made 2020 February), Demographic and Socio-economic (made 2020 February)
  • 40+ Downloads
    Updated April 29, 2020 | Dataset date: Jan 1, 1990-Dec 31, 2017
    This dataset updates: Every year
    The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.
  • Updated Live | Dataset date: Jan 1, 2017-Dec 31, 2020
    This dataset updates: Live
    Projects proposed, in progress, or completed as part of the annual Sudan Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools Note that some projects are not publicly listed, due to security or personal-privacy concerns.
  • 40+ Downloads
    Updated April 21, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: As needed
    This page includes information on violent and threatening incidents affecting healthcare in Sudan to ensure staff safety and better response outcomes.
  • Updated April 17, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2017
    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. Original dataset title: ICA Sudan, 2018 - Estimated Numbers of Food Insecure People, 2014-2017
  • Updated April 17, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2013
    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. Original dataset title: ICA Sudan, 2018 - Land Degradation, 2001-2013
  • Updated April 17, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by second-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Sudan in 2018. 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). Original dataset title: ICA Sudan, 2018 - Prevalence of Malnutrition, 2013
  • Updated April 17, 2020 | Dataset date: Jan 1, 2018-Dec 31, 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). Original dataset title: ICA Sudan, 2018 - ICA Categories & Areas
  • Updated April 17, 2020 | Dataset date: Jan 1, 2014-Dec 31, 2014
    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. Data source: Fewsnet, 2011 Original dataset title: ICA Sudan, 2018 - Most Predominant Livelihood Zones, 2014
  • Updated April 17, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    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. Original dataset title: ICA Sudan, 2018 - Flood Risk, 2013
  • Updated April 17, 2020 | Dataset date: Jan 1, 1982-Dec 31, 2017
    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. Original dataset title: ICA Sudan, 2018 - Drought Risk, 1982-2017
  • Updated April 17, 2020 | Dataset date: Jan 1, 2010-Dec 31, 2017
    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. Original dataset title: ICA Sudan, 2018 - Recurrence of Food Insecurity, 2010-2017
  • Updated April 17, 2020 | Dataset date: Jan 1, 2018-Dec 31, 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. Original dataset title: ICA Sudan, 2018 - Natural Shock Risk
  • 20+ Downloads
    Updated April 9, 2020 | Dataset date: Feb 29, 2020
    This dataset updates: Every year
    Refugee population of Sudan by UNHCR
  • 20+ Downloads
    Updated April 9, 2020 | Dataset date: Jan 31, 2020
    This dataset updates: Every year
    Returnee population of Sudan through DTM - IOM
  • 30+ Downloads
    Updated April 9, 2020 | Dataset date: Feb 29, 2020
    This dataset updates: Every year
    IDP population in Sudan through Displacement Tracking Matrix by IOM
  • 20+ Downloads
    Updated April 9, 2020 | Dataset date: Jun 30, 2019
    This dataset updates: As needed
    Health Facilities locations across Darfur (Sudan)
  • 10+ Downloads
    Updated April 9, 2020 | Dataset date: Mar 30, 2020
    This dataset updates: As needed
    UNHAS air field locations
  • 20+ Downloads
    Updated April 9, 2020 | Dataset date: Mar 30, 2020
    This dataset updates: As needed
    Shape file for Bording crossing points
  • 50+ Downloads
    Updated April 4, 2020 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: Never
    The data set contains the beneficiaries reached for the period January - December 2018 by state.
  • 258000+ Downloads
    Updated Live | Dataset date: Jan 22, 2020-Jul 8, 2020
    This dataset updates: Live
    Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • 100+ Downloads
    Updated April 2, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every year
    This dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners in Sudan. This dataset contains the total number of people reached per locality and per sector in Sudan for 2019 Humanitarian Response Plan. The original data is available on https://hpc.tools.
  • 40+ Downloads
    Updated March 30, 2020 | Dataset date: Feb 20, 2020
    This dataset updates: Every year
    Camps in Sudan for IDP - IOM
  • 20+ Downloads
    Updated March 30, 2020 | Dataset date: Feb 20, 2020
    This dataset updates: Every year
    IOM through DTM registration of IDPs in Sudan
  • 20+ Downloads
    Updated March 30, 2020 | Dataset date: Mar 30, 2020
    This dataset updates: Every year
    Sudan IDP Settlements by Risk level data by locality and state wise.