Sudan

Data Grid Completeness Expand
Affected People
6 Datasets
Coordination & Context
10 Datasets
Food Security & Nutrition
4 Datasets
Geography & Infrastructure
9 Datasets
Health & Education
7 Datasets
Population & Socio-economy
3 Datasets
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.
Legend:
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
  • Updated 8 July 2020 | Dataset date: September 01, 2021-September 01, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: covered natural source water name width blockage tunnel depth waterway layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    100+ Downloads
    This dataset updates: Every month
  • Updated 29 June 2020 | Dataset date: January 01, 2000-December 31, 2020
    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. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. 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/WP00646
    30+ Downloads
    This dataset updates: Every year
  • Updated 29 June 2020 | Dataset date: January 01, 2014-December 31, 2017
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Sudan 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00439
    10+ Downloads
    This dataset updates: Every year
  • Updated 29 June 2020 | Dataset date: January 01, 2014-December 31, 2017
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Sudan 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00331
    10+ Downloads
    This dataset updates: Every year
  • Updated 27 June 2020 | Dataset date: September 01, 2021-September 01, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','subway','station') Features may have these attributes: addr:city railway name operator:type addr:full source ele layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    40+ Downloads
    This dataset updates: Every month
  • Updated 3 June 2020 | Dataset date: December 31, 2018-December 31, 2018
    Number of Health Specialists per category in Sudan
    100+ Downloads
    This dataset updates: As needed
  • Updated 3 June 2020 | Dataset date: December 31, 2018-December 31, 2018
    Prevalence of diseases in outpatient clinics per state in Sudan for the year 2018
    100+ Downloads
    This dataset updates: As needed
  • Updated 3 June 2020 | Dataset date: September 01, 2021-September 01, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL Features may have these attributes: addr:city name amenity port operator:type addr:full source building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    30+ Downloads
    This dataset updates: Every month
  • Updated 3 June 2020 | Dataset date: September 01, 2021-September 01, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: addr:city name amenity addr:full source network operator This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    10+ Downloads
    This dataset updates: Every month
  • Updated 3 June 2020 | Dataset date: September 01, 2021-September 01, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site' Features may have these attributes: addr:city source aeroway name emergency operator:type addr:full emergency:helipad building capacity:persons This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    50+ Downloads
    This dataset updates: Every month
  • Updated 3 June 2020 | Dataset date: September 01, 2021-September 01, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: addr:city name amenity operator:type addr:full source building capacity:persons This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    30+ Downloads
    This dataset updates: Every month
  • Updated 3 June 2020 | Dataset date: September 01, 2021-September 01, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: healthcare IS NOT NULL OR amenity IN ('doctors','dentist','clinic','hospital','pharmacy') Features may have these attributes: addr:city healthcare:speciality healthcare name amenity operator:type addr:full source building capacity:persons This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    70+ Downloads
    This dataset updates: Every month
  • Updated 3 June 2020 | Dataset date: September 01, 2021-September 01, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: population place name source is_in This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    100+ Downloads
    This dataset updates: Every month
  • Updated 29 May 2020 | Dataset date: May 25, 2020-May 25, 2020
    COVID-19 cases high risk population arrivals by state_25 May 2020
    70+ Downloads
    This dataset updates: As needed
  • Updated 13 May 2020 | Dataset date: January 01, 2017-March 31, 2022
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
    300+ Downloads
    This dataset updates: As needed
  • Updated 13 May 2020 | Dataset date: October 11, 2020-March 22, 2021
    This dataset contains operational presence of humanitarian partners in Sudan at Admin 1 level in response to Coronavirus pandemic.
    60+ Downloads
    This dataset updates: As needed
  • Updated 10 May 2020 | Dataset date: May 10, 2020-May 10, 2020
    This data set contains people in need figures for Sudan by locality (Admin level 2) and sector
    300+ Downloads
    This dataset updates: As needed
  • Updated 10 May 2020 | Dataset date: January 01, 2018-January 01, 2018
    Population figures provided by Sudan's Central Bureau of Statistics. More information can be found on the website: http://cbs.gov.sd/index.php/en/
    100+ Downloads
    This dataset updates: As needed
  • Updated 6 May 2020 | Dataset date: January 01, 2020-December 31, 2020
    This data contains the number of people in need, internally displaced persons (IDPs), returnees and refugees for 25 countries.
    900+ Downloads
    This dataset updates: Every year
  • Updated 6 May 2020 | Dataset date: March 26, 2020-March 26, 2020
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
    1000+ Downloads
    This dataset updates: As needed
  • Updated 6 May 2020 | Dataset date: May 05, 2020-May 05, 2020
    This dataset contains simulation ­based estimates for COVID­-19 epidemic scenarios in OCHA HRP countries. Simulation is done by London School of Hygiene & Tropical Medicine(LSHTM).
    1100+ Downloads
    This dataset updates: As needed
  • Updated 9 April 2020 | Dataset date: February 29, 2020-February 29, 2020
    Refugee population of Sudan by UNHCR
    100+ Downloads
    This dataset updates: Every year
  • Updated 9 April 2020 | Dataset date: January 31, 2020-January 31, 2020
    Returnee population of Sudan through DTM - IOM
    60+ Downloads
    This dataset updates: Every year
  • Updated 9 April 2020 | Dataset date: February 29, 2020-February 29, 2020
    IDP population in Sudan through Displacement Tracking Matrix by IOM
    100+ Downloads
    This dataset updates: Every year
  • Updated 9 April 2020 | Dataset date: June 30, 2019-June 30, 2019
    Health Facilities locations across Darfur (Sudan)
    90+ Downloads
    This dataset updates: As needed