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  • OurAirports
    Updated October 20, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2027
    List of airports in Angola, with latitude and longitude. Unverified community data from http://ourairports.com/countries/AO/
    • CSV
    • This dataset updates: Live
  • African Development Bank Group
    Updated January 19, 2017 | Dataset date: Jul 15, 2015
    The AfDB Statistics Department and the Fragile States Unit have compiled this data set from various sources (the World Bank, WHO, IMF, and many others)
    • XLSX
    • 200+ Downloads
    • This dataset updates: Never
  • Gender parity index in secondary - Indice de parité de genre au secondaire
    • XLSX
    • 100+ Downloads
    • This dataset updates: Never
  • African Development Bank Group
    Updated November 24, 2016 | Dataset date: Apr 17, 2016
    African Regional Energy Statistics, 2000 - 2014
    • XLSX
    • 100+ Downloads
    • This dataset updates: Never
  • United Nations Economic Commission for Africa
    Updated June 23, 2016 | Dataset date: Dec 31, 2015-Dec 31, 2015
    Goal 2: Achieve universal primary education/Assurer l’éducation primaire pour tous Net enrolment ratio in primary education Literacy rate of 15-24 year-olds, women and men Proportion of pupils starting grade 1 who reach last grade of primary
    • XLSX
    • 100+ 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
  • Gross enrolment ratio in primary
    • XLSX
    • 100+ Downloads
    • This dataset updates: Never
  • 1-3. Economically active population - Population active
    • XLSX
    • 100+ Downloads
    • This dataset updates: Never
  • United Nations Economic Commission for Africa
    Updated May 12, 2016 | Dataset date: Jun 1, 2010-Dec 31, 2015
    Population Urban and female population percentages Population urbain et feminine (%)
    • XLSX
    • 100+ Downloads
    • This dataset updates: Never
  • HDX
    Updated March 21, 2016 | Dataset date: Jun 1, 2013
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on June 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for April-June 2013 southernafrica201304_ML2 Most likely food security outcome for July-September 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: Oct 1, 2015
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on February 05, 2016. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: SA201304_ML1 Most likely food security outcome for October-December 2015 SA201304_ML2 Most likely food security outcome for January-March 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: Jan 1, 2014
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on January 19, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201401_ML1 Most likely food security outcome for January-March 2014 southernafrica201401_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: Apr 1, 2014
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern 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: southernafrica201304_ML1 Most likely food security outcome for April-June 2014 southernafrica201304_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, 2013
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern 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: southernafrica201307_ML1 Most likely food security outcome for July-September 2013 southernafrica201307_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: Oct 1, 2014
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on November 13, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for October-December 2014 southernafrica201304_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 1, 2014
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern 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: southernafrica201307_ML1 Most likely food security outcome for July-September 2014 southernafrica201407_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: Jul 1, 2015
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on August 19, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: SA201304_ML1 Most likely food security outcome for July-September 2015 SA201304_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 March 21, 2016 | Dataset date: Jan 1, 2013
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern 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: southernafrica201304_ML1 Most likely food security outcome for January-March 2013 southernafrica201304_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: Feb 10, 2015
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on February 10, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for January-March 2015 southernafrica201304_ML2 Most likely food security outcome for April-June 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).
  • 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.
  • HDX
    Updated November 25, 2015 | Dataset date: Jun 1, 2015
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on June 01, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for April-June 2015 southernafrica201304_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)
  • This is "Flood vectors - DMC (25 March 2008)" of the Flood analysis for Angola which began on 20 March 2008. It includes 2,463 satellite detected water bodies with a spatial extent of 2,570.3 square kilometers derived from the DMC image acquired on 25 Mar...
    • KMZ
    • ZIP
    • This dataset updates: Never