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  • 300+ Downloads
    Updated September 11, 2018 | Dataset date: Aug 6, 2015
    This dataset updates: Never
    African Development Bank, Bank Operations, 1967 January - 2012 December
  • 200+ Downloads
    Updated September 11, 2018 | Dataset date: Dec 8, 2011
    This dataset updates: Never
    Leadership, innovation and targeted investments in a number of social sectors have led to transformative interventions and in many cases revolutionized people’s lives, says an annual report produced jointly by the Economic Commission for Africa (ECA), the African Union (AU), the African Development Bank (AfDB) and the United Nations Development Programme (UNDP), called “Assessing Progress in Africa Toward the Millennium Development Goals”.
  • 400+ Downloads
    Updated August 29, 2018 | Dataset date: May 1, 2018
    This dataset updates: Every year
    The zip file contains Health region (adm1) and districts boundaries (adm2) for DRC in shapefile and GeoJSON format. These datasets can be found in the WHO Ebola open data platform: https://ebolaoutbreak2018-who.opendata.arcgis.com
  • Updated August 17, 2018 | Dataset date: Jan 1, 2009-Dec 31, 2017
    This dataset updates: Every year
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's data portal.
  • 2000+ Downloads
    Updated July 16, 2018 | Dataset date: Mar 31, 2018
    This dataset updates: Every month
    UNICEF Eastern and Southern Africa database - Target, Response and Funding as of 31 March 2018
  • 100+ Downloads
    Updated July 16, 2018 | Dataset date: Dec 31, 2017
    This dataset updates: Never
    Africa - Population and Internet users statistics
  • 100+ Downloads
    Updated July 16, 2018 | Dataset date: Dec 31, 2017
    This dataset updates: Never
    Average annual salaries for males and females in Africa.
  • 300+ Downloads
    Updated July 16, 2018 | Dataset date: Jan 1, 2017
    This dataset updates: Every year
    ACLED makes its dataset of disaggregated conflict and protest data publicly available. A new version of the dataset is released annually, with data from the previous year and targeted quality review being added in each new version. Files for all countries are composed of ACLED events which indicate the day, actors, type of activity, location, fatalities, sources and notes for individual politically violent events. Please see the codebook for further details on conflict categories, actors, events and sources. The user guide provides guidance on downloading and reading files. ACLED data are presented in three forms: the first is an Excel for the entire African continent; the second is a corresponding shapefile of the African continent created from those data; the third format is an Excel file called “COUNTRY X” containing data disaggregated by country which occur in the named state’s territory (including foreign groups active in a state’s territory).
  • 200+ Downloads
    Updated June 7, 2018 | Dataset date: Jun 7, 2018
    This dataset updates: Every month
    UNICEF Excel Database Refugees in Eastern and Southern Africa - Target, Response and Funding
  • 400+ Downloads
    Updated June 6, 2018 | Dataset date: Apr 21, 2016
    This dataset updates: Every three months
    This dataset contains a list of the countries affected by the El Niño as at April 21, 2016 as reported jointly by FAO, the Global Food Security Cluster and WFP on 21 April 2016 in the 2015-2016 El Niño: WFP and FAO Overview update. According to the World Bank, El Niño is likely to have a negative impact in more isolated local food markets, and many countries are already facing increased food prices. Food Security Cluster partners have implemented preparedness activities and are responding in countries where the effects of El Niño have materialised, such as Ethiopia, Papua New Guinea, Malawi and throughout Central America. In Southern Africa, many areas have seen the driest October-December period since at least 1981, and some 14 million people in the region are already facing hunger, which adds to fears of a spike in the numbers of the food insecure later this year through 2017.
  • 100+ Downloads
    Updated May 9, 2018 | Dataset date: May 9, 2018
    This dataset updates: Every two weeks
    UNICEF Excel Database Refugees in Eastern and Southern Africa - Target, Response and Funding
  • 100+ Downloads
    Updated April 18, 2018 | Dataset date: Feb 28, 2018
    This dataset updates: Every three months
    UNICEF Excel Database Refugees in Eastern and Southern Africa - Target, Response and Funding
  • 300+ Downloads
    Updated January 19, 2017 | Dataset date: Jul 15, 2015
    This dataset updates: Never
    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)
  • 100+ Downloads
    Updated January 19, 2017 | Dataset date: Jan 1, 2006-Dec 31, 2015
    This dataset updates: Never
    Gender parity index in secondary - Indice de parité de genre au secondaire
  • 200+ Downloads
    Updated November 24, 2016 | Dataset date: Apr 17, 2016
    This dataset updates: Never
    African Regional Energy Statistics, 2000 - 2014
  • 100+ Downloads
    Updated June 23, 2016 | Dataset date: Dec 31, 2015-Dec 31, 2015
    This dataset updates: Never
    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
  • 300+ Downloads
    Updated May 23, 2016 | Dataset date: Jan 1, 2006-Dec 31, 2015
    This dataset updates: Never
    Total migrants in Africa.
  • 100+ Downloads
    Updated May 19, 2016 | Dataset date: Jan 1, 2006-Dec 31, 2015
    This dataset updates: Never
    Gross enrolment ratio in primary
  • 200+ Downloads
    Updated May 19, 2016 | Dataset date: Jan 1, 2010-Dec 31, 2015
    This dataset updates: Never
    1-3. Economically active population - Population active
  • 100+ Downloads
    Updated May 12, 2016 | Dataset date: Jun 1, 2010-Dec 31, 2015
    This dataset updates: Never
    Population Urban and female population percentages Population urbain et feminine (%)
  • 30+ Downloads
    Updated March 21, 2016 | Dataset date: Oct 1, 2015
    This dataset updates: Never
    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).
  • 10+ Downloads
    Updated March 21, 2016 | Dataset date: Jan 1, 2014
    This dataset updates: Never
    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)
  • Updated March 21, 2016 | Dataset date: Apr 1, 2014
    This dataset updates: Never
    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).
  • Updated March 21, 2016 | Dataset date: Jul 1, 2013
    This dataset updates: Never
    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)
  • Updated March 21, 2016 | Dataset date: Oct 1, 2014
    This dataset updates: Never
    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).