Data Grid Completeness
12/27 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
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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  • 7300+ Downloads
    Updated July 12, 2020 | Dataset date: Jan 1, 1990-Jun 15, 2020
    This dataset updates: Every week
    This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 1200+ Downloads
    Updated July 12, 2020 | Dataset date: Jan 15, 2006-Jun 15, 2020
    This dataset updates: Every week
    This dataset contains Food Prices data for South Sudan. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 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
  • 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 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
  • 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
  • 10+ Downloads
    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
  • 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
  • 20+ 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
  • 10+ Downloads
    Updated April 17, 2020 | Dataset date: Jul 10, 2020
    This dataset updates: As needed
    south sudan access constraints shp for 20200710 Original dataset title: south sudan access constraints shp for 20200710
  • 20+ Downloads
    Updated January 27, 2020 | Dataset date: Jun 9, 2017
    This dataset updates: As needed
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • Updated January 27, 2020 | Dataset date: Jun 9, 2017
    This dataset updates: As needed
    This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include main roads that have been published on a separate dataset (main roads). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
  • 100+ Downloads
    Updated Live | Dataset date: Oct 19, 2018
    This dataset updates: Live
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards.The data is updated in near-real time from OSM servers and include all latest updates.
  • 1400+ Downloads
    Updated July 7, 2017 | Dataset date: Oct 27, 2016
    This dataset updates: Every month
    This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.
  • 800+ Downloads
    Updated November 24, 2015 | Dataset date: May 14, 2015
    This dataset updates: Every month
    The Income Activities dataset includes data on income generation at the household level. Sources of income listed include labor, agriculture, asset sales, and remittances, among others. It is available for 32 countries.
  • 1400+ Downloads
    Updated November 24, 2015 | Dataset date: May 13, 2015
    This dataset updates: Every month
    The Food Consumption Score (FCS) dataset is based on the FCS indicator, which assigns a food security score based on food consumption and diets. This data is available sub-nationally for 38 countries, such as Nepal and Sierra Leone.