Data Grid Completeness
14/27 Core Data 19 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.
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
Expand
Affected People
4 Datasets
Internally-Displaced Persons
Refugees & Persons of Concern
Humanitarian Profile Locations
Humanitarian Needs
Casualties
Coordination & Context
3 Datasets
3w - Who is doing what where
International Aid Transparency Initiative
Affected Areas
Conflict Events
Humanitarian Access
Transportation Status
Damaged & Destroyed Buildings
Food Security & Nutrition
2 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
5 Datasets
Health & Education
3 Datasets
Education Facilities
Affected Schools
Population & Socio-economy
2 Datasets
Baseline Population by Age & Sex
Poverty Rate
Oxford Poverty & Human Development Initiative
Data Datasets [202] | Archived Datasets[0] [?] Show filter:
Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
More
  • 500+ Downloads
    Updated 24 November 2016 | Dataset date: July 08, 2016-July 08, 2016
    This dataset updates: Never
    African Financial Survey Database, 2005-2014
  • 400+ Downloads
    Updated 24 November 2016 | Dataset date: August 22, 2013-August 22, 2013
    This dataset updates: Never
    Economic Community of Central African States Statistics, 2013
  • 300+ Downloads
    Updated 24 November 2016 | Dataset date: April 22, 2014-April 22, 2014
    This dataset updates: Never
    AfDB Country Policy and Institutional Assessment, 2013
  • 200+ Downloads
    Updated 24 November 2016 | Dataset date: December 08, 2011-December 08, 2011
    This dataset updates: Never
    African Development Bank, Food Security, January 1960 - December 2011
  • 200+ Downloads
    Updated 24 November 2016 | Dataset date: December 08, 2011-December 08, 2011
    This dataset updates: Never
    African Development Bank, Food Security, Prices, Monthly, January 1980 - December 2011
  • 500+ Downloads
    Updated 24 November 2016 | Dataset date: July 16, 2013-July 16, 2013
    This dataset updates: Never
    African Port Statistics, 2005-2009
  • 1300+ Downloads
    Updated 16 September 2016 | Dataset date: September 16, 2016-September 16, 2016
    This dataset updates: Never
    Burundi Admin bounderies. Admin 1 to 4
  • 200+ Downloads
    Updated 12 April 2016 | Dataset date: April 12, 2016-April 12, 2016
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on April 12, 2016. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: EA201304_ML1 Most likely food security outcome for January-March 2016 EA201304_ML2 Most likely food security outcome for April-June 2016 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 100+ Downloads
    Updated 29 January 2016 | Dataset date: December 31, 2015-December 31, 2015
    This dataset updates: Never
    The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.
  • 400+ Downloads
    Updated 24 November 2015 | Dataset date: June 09, 2011-June 09, 2015
    This dataset updates: Never
    This dataset includes the Refugee, IDPs, People in need by Sector, Humanitarian Funding, inform indexes and humanitarian priorites data for countries in the wider horn of Africa Region from 2011 to date
  • 900+ Downloads
    Updated 24 November 2015 | Dataset date: April 01, 2015-April 01, 2015
    This dataset updates: Every six months
    Burundi Humanitarian Response Activities by Sector at Province Level as of April 2015
  • 300+ Downloads
    Updated 24 November 2015 | Dataset date: January 01, 2015-January 01, 2015
    This dataset updates: Every year
    INFORM SUB NATIONAL data for Eastern Africa Region. It contains the Hazards/Exposures, Vulnerbilities and Lack of Coping Capacity of the Greater Horn of Africa Region and the Overal Rick Index. The scale is from 0 - 10
  • 1000+ Downloads
    Updated 24 November 2015 | Dataset date: May 14, 2015-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.
  • 1300+ Downloads
    Updated 24 November 2015 | Dataset date: May 14, 2015-May 14, 2015
    This dataset updates: Never
    The Coping Strategy Index dataset measures the severity and frequency of the strategies that households use to cope with acute food insecurity. The strategies vary from borrowing food or money from neighbors to selling household assets. This data is available for 31 countries at a sub-national level.
  • 1700+ Downloads
    Updated 24 November 2015 | Dataset date: May 13, 2015-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.
  • 400+ Downloads
    Updated 24 November 2015 | Dataset date: August 06, 2014-August 06, 2014
    This dataset updates: Every three months
    IDP numbers in Burundi, Djibouti, DRC, Eritrea, Ethiopia, Kenya, Rwanda, S.Sudan, Somalia, Sudan, Tanzania and Uganda since December 2007.
  • 500+ Downloads
    Updated 24 November 2015 | Dataset date: August 07, 2007-August 07, 2007
    This dataset updates: Every three months
    Refugee numbers in Burundi, Djibouti, DRC, Eritrea, Ethiopia, Kenya, Rwanda, S.Sudan, Somalia, Sudan, Tanzania and Uganda since December 2007.
  • 40+ Downloads
    Updated 14 October 2015 | Dataset date: September 30, 2015-September 30, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: easternafrica201507_ML1 Most likely food security outcome for July-September 2015 easternafrica201507_ML2 Most likely food security outcome for October-December 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 20+ Downloads
    Updated 14 October 2015 | Dataset date: June 30, 2015-June 30, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on June 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for April-June 2015 eastafrica201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 20+ Downloads
    Updated 14 October 2015 | Dataset date: April 03, 2015-April 03, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on April 03, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for January-March 2015 eastafrica201304_ML2 Most likely food security outcome for April-June 2015 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 30+ Downloads
    Updated 14 October 2015 | Dataset date: October 01, 2014-October 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on December 31, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: EA201304_ML1 Most likely food security outcome for October-December 2014 EA201304_ML2 Most likely food security outcome for January-March 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 20+ Downloads
    Updated 14 October 2015 | Dataset date: July 01, 2014-July 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 26, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for July-September 2014 eastafrica201304_ML2 Most likely food security outcome for October-December 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 20+ Downloads
    Updated 14 October 2015 | Dataset date: July 17, 2014-July 17, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 17, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for April-June 2014 eastafrica201304_ML2 Most likely food security outcome for July-September 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 30+ Downloads
    Updated 14 October 2015 | Dataset date: January 01, 2014-January 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on August 07, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for January-March 2014 eastafrica201304_ML2 Most likely food security outcome for April-June 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 20+ Downloads
    Updated 14 October 2015 | Dataset date: November 14, 2013-November 14, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on November 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for October-December 2013 eastafrica201304_ML2 Most likely food security outcome for January-March 2014 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)