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  • Humanitarian OpenStreetMap Team (HOT)
    Updated September 15, 2016 | Dataset date: Jan 1, 2014
    Uganda districts shapefiles, 2014
  • OCHA ROSEA
    Updated July 17, 2016 | Dataset date: Jun 9, 2011-Jun 9, 2015
    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
    • CSV
    • 200+ Downloads
    • This dataset updates: Never
  • Primary health care - Soins de sante primaire 1. Access to safe water - Acces a l'eau potable Immunization / Vaccination (% 2.1. Tuberculosis - Tuberculose 2.2 Diphtheria (DPT3) - Diphtérie 2.3 Measles - Rougeole
    • XLSX
    • 100+ Downloads
    • This dataset updates: Never
  • Uwezo at Twaweza East Africa
    Updated June 2, 2016 | Dataset date: Sep 1, 2014
    These datasets contains data relevant to learner achievement in Uganda. This ranges from school enrollment, socioeconomic indicators, school infrastructure among others.
    • CSV
    • 300+ Downloads
    • This dataset updates: Never
  • United Nations Economic Commission for Africa
    Updated May 23, 2016 | Dataset date: Jan 1, 2006-Dec 31, 2015
    Total migrants in Africa.
    • XLSX
    • 200+ Downloads
    • This dataset updates: Never
  • HDX
    Updated April 12, 2016 | Dataset date: Apr 12, 2016
    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)
  • HDX
    Updated March 21, 2016 | Dataset date: Oct 1, 2014
    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)
  • HDX
    Updated March 21, 2016 | Dataset date: Jul 17, 2014
    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)
  • HDX
    Updated March 21, 2016 | Dataset date: Jul 1, 2014
    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)
  • HDX
    Updated March 21, 2016 | Dataset date: Jan 1, 2014
    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)
  • HDX
    Updated March 21, 2016 | Dataset date: Nov 14, 2013
    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)
  • HDX
    Updated March 21, 2016 | Dataset date: Jul 14, 2013
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 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 July-September 2013 eastafrica201304_ML2 Most likely food security outcome for October-December 2013 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)
  • HDX
    Updated March 21, 2016 | Dataset date: Jan 14, 2013
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on January 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 January-March 2013 eastafrica201304_ML2 Most likely food security outcome for April-June 2013 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)
  • HDX
    Updated March 21, 2016 | Dataset date: Sep 30, 2015
    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)
  • HDX
    Updated November 25, 2015 | Dataset date: Jun 30, 2015
    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)
  • HDX
    Updated November 25, 2015 | Dataset date: Apr 3, 2015
    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)
  • OCHA ROSEA
    Updated November 24, 2015 | Dataset date: Jan 1, 2015-Jun 1, 2015
    This is a dataset containing information on various selected indicators from the borderland districts in Kenya, Uganda, Somalia, Ethiopia and South Sudan.
    • XLSX
    • 300+ Downloads
    • This dataset updates: Never
  • OCHA ROSEA
    Updated November 24, 2015 | Dataset date: Aug 6, 2014
    IDP numbers in Burundi, Djibouti, DRC, Eritrea, Ethiopia, Kenya, Rwanda, S.Sudan, Somalia, Sudan, Tanzania and Uganda since December 2007.
    • CSV
    • 200+ Downloads
    • This dataset updates: Every three months
  • OCHA ROSEA
    Updated November 24, 2015 | Dataset date: Aug 7, 2007
    Refugee numbers in Burundi, Djibouti, DRC, Eritrea, Ethiopia, Kenya, Rwanda, S.Sudan, Somalia, Sudan, Tanzania and Uganda since December 2007.
    • CSV
    • 300+ Downloads
    • This dataset updates: Every three months
  • Spatial Collective
    Updated November 24, 2015
    Shows the district boundaries in Uganda