Data Grid Completeness
8/27 Core Data 14 Datasets 7 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
4 Datasets
Internally-Displaced Persons
Refugees & Persons of Concern
Humanitarian Profile Locations
Humanitarian Needs
Coordination & Context
3 Datasets
3w - Who is doing what where
Affected Areas
Conflict Events
Humanitarian Access
Transportation Status
WFP - World Food Programme
Damaged & Destroyed Buildings
Food Security & Nutrition
2 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
5 Datasets
Administrative Divisions
Populated Places
Humanitarian OpenStreetMap Team (HOT)
Roads
WFP - World Food Programme
Airports
Health & Education
1 Datasets
Health Facilities
Education Facilities
Affected Schools
Population & Socio-economy
1 Datasets
Baseline Population by Age & Sex
Poverty Rate
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  • 80+ Downloads
    Updated May 1, 2020 | Dataset date: May 1, 2020
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: shop beds man_made addr:street tourism rooms addr:housenumber addr:city opening_hours source addr:full name amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated May 1, 2020 | Dataset date: May 1, 2020
    This dataset updates: Every month
    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: railway ele addr:city source layer name addr:full operator:type This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 20+ Downloads
    Updated May 1, 2020 | Dataset date: May 1, 2020
    This dataset updates: Every month
    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: capacity:persons building addr:city source addr:full name operator:type amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated May 1, 2020 | Dataset date: May 1, 2020
    This dataset updates: Every month
    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: capacity:persons healthcare building addr:city source addr:full name operator:type healthcare:speciality amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated May 1, 2020 | Dataset date: May 1, 2020
    This dataset updates: Every month
    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: operator addr:city source addr:full name network amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated May 1, 2020 | Dataset date: May 1, 2020
    This dataset updates: Every month
    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: port building addr:city source addr:full name operator:type amenity This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 1100+ Downloads
    Updated April 30, 2020 | Dataset date: Apr 30, 2020
    This dataset updates: Every month
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 20+ 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'.
  • 30+ Downloads
    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 South 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.
  • 2300+ Downloads
    Updated April 26, 2020 | Dataset date: Jan 1, 2016-Feb 29, 2020
    This dataset updates: Every month
    This dashboard provides aggregated global data on the safety & security incidents affecting NGOs in those countries covered by INSO*. It is intended to improve the visibility of macro-trends in humanitarian safety in order to raise awareness, inform research and strengthen operational practise. All data is sourced from INSO and assumed correct at the time of publishing. Please read below for advanced definitions & meanings. The information contained in this dashboard may be cited or reproduced only with credit to INSO.
  • 1900+ Downloads
    Updated April 23, 2020 | Dataset date: Jan 1, 2017-Sep 30, 2019
    This dataset updates: Every year
    The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This page is managed by SHCC member Insecurity Insight.
  • 4800+ Downloads
    Updated April 23, 2020 | Dataset date: Jan 1, 2015-Mar 31, 2020
    This dataset updates: Every month
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
  • Updated April 17, 2020 | Dataset date: Jan 1, 2010-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the food insecurity levels estimated during the Integrated Context Analysis (ICA) run in South Sudan in 2016. Data source: Food Security Monitoring System (FSMS), 2010-2015. The food security threshold to determine the recurrence of food insecurity was set at 30% as only the best quantile had a value below 20% (which is the traditional mapping protocol) and that the value used was the sum of two categories (moderate and severe food insecurity). The key indicators used for the analysis were the recurrence above the threshold, the average against national average and variability/stability. Original dataset title: ICA South Sudan, 2016 - Recurrence of Food Insecurity, 2010-2015
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2011
    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 South Sudan in 2016. Data sources: UNEP/UNISDR GAR 2011. 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 South Sudan, 2016 - Flood Risk, 2011
  • Updated April 17, 2020 | Dataset date: Jan 1, 2016-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA), run in South Sudan in 2016, showing areas of convergence between high recurrence of food insecurity and high propensity to natural shocks (floods and droughts). Original dataset title: ICA South Sudan, 2016 - ICA Categories & Areas
  • Updated April 17, 2020 | Dataset date: Jan 1, 2016-Dec 31, 2016
    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 South Sudan in 2016. Data sources: UNEP/UNISDR GAR 2011, HQ VAM Analysis of NDVI data, 1998-2012. Original dataset title: ICA South Sudan, 2016 - Natural Shock Risk
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 1998-Dec 31, 2014
    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 South Sudan in 2016. Data source: HQ VAM Analysis of NDVI data, 1998-2014. The main indicators used for the analysis were the most prelevant number of poor growing seasons and the percentage of surface area affected by one or more poor growing seasons. Original dataset title: ICA South Sudan, 2016 - Drought Risk, 1998-2014
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jan 1, 2010-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the global acute malnutrition levels estimated during the Integrated Context Analysis (ICA) run in South Sudan in 2016. Data source: Food Security Monitoring System (FSMS), 2010-2015. The threshold to determine the recurrence of global acute malnutrition was set at 15% (emergency level). It should be noted that Mid-Upper Arm Circumference (MUAC) was used as a proxy to measure child malnutrition. The key indicators used for the analysis were the recurrence above the threshold, the average against national average and variability/stability. Original dataset title: ICA South Sudan, 2016 - Recurrence of Malnutrition, 2010-2015
  • Updated April 17, 2020 | Dataset date: Jan 1, 2010-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) performed in South Sudan in 2016. Data source: Regional Centre for Mapping of Resources for Development (RCMRD), 2010-2012. The main indicator used for the analysis was an average land degradation index, generated through a combination of factors such as land conformation, vegetation cover and quality, precipitation, soil type and erodibility, population density. Original dataset title: ICA South Sudan, 2016 - Land Degradation, 2010-2012
  • Updated April 17, 2020 | Dataset date: Jan 1, 2016-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the main human settlements , codified by the ICA Categories of the relative second-level administrative area, used in the Integrated Context Analysis (ICA) run in South Sudan in 2016. Original dataset title: ICA South Sudan, 2016 - ICA-Coded Human Settlements
  • Updated April 17, 2020 | Dataset date: Jan 1, 2008-Dec 31, 2008
    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 South Sudan in 2016. Data source: Fewsnet, 2008. Original dataset title: ICA South Sudan, 2016 - Most Predominant Livelihood Zones, 2008
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: May 29, 2020
    This dataset updates: As needed
    south sudan access constraints shp for 20200529 Original dataset title: south sudan access constraints shp for 20200529
  • 20+ Downloads
    Updated April 17, 2020 | Dataset date: Dec 12, 2019
    This dataset updates: Every year
    This is the final sex and age dis-aggregated data for 2020 South Sudan HRP. The data includes population baselines, people in need, people targeted, persons living with physical disabilities and population groups by county.
  • 20+ Downloads
    Updated April 1, 2020 | Dataset date: May 1, 2020
    This dataset updates: Every month
    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: place source name is_in population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 900+ Downloads
    Updated March 27, 2020 | Dataset date: Jan 1, 2012-Dec 31, 2018
    This dataset updates: As needed
    Contains data from World Health Organization's data portal covering the following categories: Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, World Health Statistics, Health financing, Public health and environment, Substance use and mental health, Tobacco, Injuries and violence, HIV/AIDS and other STIs, Nutrition, Urban health, Noncommunicable diseases, Noncommunicable diseases CCS, Negelected tropical diseases, Health Equity Monitor, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Neglected tropical diseases, International Health Regulations (2005) monitoring framework, Insecticide resistance, Oral health, Universal Health Coverage, Global Observatory for eHealth (GOe), RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, AMR GLASS Coordination, AMR GLASS Surveillance, AMR GLASS Quality assurance, Noncommunicable diseases and mental health, Health workforce, Neglected Tropical Diseases, AMR GASP, ICD For links to individual indicator metadata, see resource descriptions.