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  • 30+ Downloads
    Updated April 12, 2019 | Dataset date: Mar 31, 2016
    This dataset updates: As needed
    1450 administrative Wards in Kenya - More than 20 counties have their topology cleaned. Unique IDs from DHIS2 for wards(UID), county (CUID), and sub county (SCUID) have been added. This is a plug and play data and is very compatible with DHIS2
  • Updated March 14, 2019 | Dataset date: Jan 25, 2010
    This dataset updates: As needed
    This data is about unique place code (p-code) identifiers for wards, constituencies and counties in Kenya as defined by IEBC. It also contains the names of all the wards, constituencies and counties in Kenya since the promulgation of the 2010 constitution.
  • 10+ Downloads
    Updated March 14, 2019 | Dataset date: Jan 25, 2019
    This dataset updates: As needed
    This data shows locations of major markets in Kenya. Data was collected by FSD Kenya as part of the FinAccess survey
  • Updated March 14, 2019 | Dataset date: Jan 25, 2019
    This dataset updates: As needed
    This data shows the location of major airports and airstrips in Kenya including their corresponding IATA/ICAO codes. Data obtained from Kenya Airports Authority Website
  • Updated March 14, 2019 | Dataset date: Jan 25, 2019
    This dataset updates: As needed
    This data is about border crossing points in Kenya by road, air and water. It contains information on both official (formal) and informal border crossing points. A formal border crossing point is where there is an immigration office. Mostly the data is from Directorate of immigration and registration of persons.
  • 60+ Downloads
    Updated February 26, 2019 | Dataset date: Feb 14, 2019
    This dataset updates: As needed
    Data about cell tower locations in Kenya showing different signals e.g. CDMA, LTE, GSM
  • 80+ Downloads
    Updated February 14, 2019 | Dataset date: Feb 14, 2019
    This dataset updates: As needed
    This data shows 47 administrative units or counties in Kenya as per IEBC demarcation
  • 70+ Downloads
    Updated February 14, 2019 | Dataset date: Dec 31, 2016
    This dataset updates: Every year
    2016 Kenya population density (per square km)
  • 60+ Downloads
    Updated February 8, 2019 | Dataset date: Jan 31, 2019
    This dataset updates: Every three months
    The Database and dashboard covers the regional humanitarian situation including targets, results and funding all as of February 1 2019 for entire Southern and Eastern Africa.
  • 30+ Downloads
    Updated January 22, 2019 | Dataset date: Feb 12, 2010
    This dataset updates: As needed
    List of schools in Kenya (Primary, Secondary and Tertiary)
  • 100+ Downloads
    Updated January 9, 2019 | Dataset date: Jan 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Updated November 27, 2018 | Dataset date: Jan 1, 2017-Nov 30, 2017
    This data is by request only
    This data provides an analysis of the trends of terrorism incidents in Kenya in 2017
  • 100+ Downloads
    Updated September 12, 2018 | Dataset date: Aug 31, 2017
    This dataset updates: As needed
    UNICEF Excel Database relating to Regional refugees (Targets, Results and Funding)
  • 100+ Downloads
    Updated September 12, 2018 | Dataset date: Jun 30, 2017
    This dataset updates: Never
    Dashboard about UNICEF Ethiopia, Kenya, Uganda response for the South Sudanese refugees - Needs and Response - 30 June 2017
  • 70+ Downloads
    Updated August 14, 2018 | Dataset date: Jul 31, 2018
    This dataset updates: Every month
    UNICEF Refugees Situation and Response database
  • Updated July 15, 2018 | Dataset date: May 16, 2018
    This dataset updates: Live
    This map illustrates potentially affected population by flooding in the eastern sub counties of Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. Within the analysis extent, more than 200,000 people are potentially affected by the floods. Magarini sub county in Kilifi County, is the one with more than 40,000 people living inside flood affected areas, followed by Dadaab, Wajir South, Garsen and Malindi sub counties. Note that some sub counties have been partially analyzed depending on the area covered by satellite imagery. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent over Dadaab & Lagdera Sub Counties, Garissa County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. Within the analysis extent, ~ 43,300 ha of land appear to be inundated and around 23,000 people are living inside this flood water extent. Within the analysis extent, around 23,300 ha of inundated land are located inside Dabaad Sub County, potentially affecting 18,200 people. Several refugee camps, specially the ones located inside Dadaab Sub County, seem to be affected by the floods, being Ifo 2 Refugee Camp the most affected one. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • Updated July 15, 2018 | Dataset date: May 15, 2018
    This dataset updates: Live
    This map illustrates satellite-detected flood water extent over Wajir county, Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. Within the analysis extent, around 111,800 ha of land appears to be inundated and more than 46,300 people are living inside this flood water extent.Within the analysis extent, the sub county of Wajir West presents 68,000 ha of land inundated and more than 6,100 people potentially affected while Wajir South presents ~ 26,300 ha of land inundated and ~ 19,000 people potentially affected. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent along Tana River, Galole and Garsen sub counties, Tana River county, Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana, the surrounding land between the primary road and the limit of the Tana River boundary, specifically where the population is concentrated. Within the analysis extent, around 22,700 ha of land appears to be inundated and more than 21,600 people are living inside this flood water extent. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent along Tana River, Bura Sub County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana and the surrounding land between the primary road and the limit of the Tana River boundary, specifically were the population is concentrated. Within the analysis extent, more than 9,100 ha of land appear to be inundated and more than 9,800 people are living inside this flood water extent. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent over Garsen, Magarini, Malindi and Lamu West Sub Counties, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. Within the extent of the map more than 25,000 ha of land appear to be inundated and around 20,000 people are living inside this flood water extent. Within the map extent, around 13,000 ha of inundated land are located inside Garsen sub county, potentially affecting 5,000 people. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 500+ Downloads
    Updated July 11, 2018 | Dataset date: Apr 1, 2016-Jun 30, 2016
    This dataset updates: Never
    This database contains information about road accidents happening in Kenya
  • 600+ Downloads
    Updated June 11, 2018 | Dataset date: Dec 31, 2013
    This dataset updates: Every year
    The data was sourced from the Kenya County Health Fact Sheets(2013)
  • 200+ Downloads
    Updated May 24, 2017 | Dataset date: Jan 19, 2017
    This dataset updates: Every year
    This data indicates the total number of beneficiaries Of The Cash Transfer Program By National Council For Persons With Disabilities per constituency.
  • 500+ Downloads
    Updated March 16, 2017 | Dataset date: Oct 16, 2006
    This dataset updates: Every year
    This dataset contains information on County poverty rates estimates which is based on Kenya Integrated Household Budget Survey ( KIHBS) data for Constituencies in 2005/6