Kenya GIS data

Point locations of educational facilities across Kenya, including primary schools, secondary schools and other learning institutions. Each feature records the facility name, type and administrative location. Use this layer to map education access, identify underserved areas, plan school placement, and analyse catchment areas and travel distances to schools.

Polygon boundaries of sub-counties in Kenya, with each feature representing one administrative area and its name, county, and administrative level. Published by Orion Terrametrics.

Railway and rail transport network of Kenya showing the extent and classification of rail infrastructure. Includes passenger and freight lines. Use this layer for rail transport planning, freight logistics analysis, infrastructure assessment, and multimodal transport mapping.

A polygon feature representing the urban area of Kianjai, Kenya. Published by Orion Terrametrics.

Polygon boundary for Kenya at the national level, published by Orion Terrametrics. The single feature includes attributes such as country name, ISO codes, area in square kilometers, and validity dates.

This Maps Viewer shows all the Agro-Ecological Zones in Kenya dataset

This Seagrass/ Submerged Vegetation data layer is an ArcGIS shapefile layer covering only the Coastal inter-tidal zone of the Kenyan Indian Ocean waters. The layer product has been generated from Landsat-8 OLI Sensor data at 30 meter resolution utilizing the Blue, Green and Red Spectral bands for interpretation.

This dataset shows the polling stations in mathare Kenya

This dataset shows the polling centres in Kibera, kenya

Datasets and map of dam break near solai in Kenya on May 9th 2018.

This data shows 47 administrative units or counties in Kenya as per IEBC demarcation

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

Kenya Sub Counties matched to former provinces and DHIS2 IDs. The files have been corrected for topological errors and are perfectly aligned to the wards. If you need the wards, go to https://data.humdata.org/dataset/administrative-wards-in-kenya-1450

This is Kenya Wards administrative. The dataset was digitized from a digital PDF maps by FAO Kenya

This file contains flood hazard extent for Garissa, Kilifi and Tana River counties for the period 2018, 2019 and 2023. This data was obtained by merging flood extent from different sources among them UNOSAT. This data is in vector format.

**UNOSAT code: FL20231124KEN** This application provides geospatial information about the ongoing floods in Kenya. Important note: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations

**UNOSAT code: FL20231124KEN** This map illustrates satellite-detected water extent in Garissa City, Dujis County, Garissa Province, Kenya as observed from a Sentinel-2 image acquired on 26 November 2023 at 10:50 local time. Within analysed area of about 220 km², a total of about 45 km² of lands appear to be affected with flood waters. Furthermore, within the analysed area, about 6,500 buildings are identified as affected by the floods. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20231124KEN** This map illustrates satellite-detected water extent in Dadaab Town, Dadaab County, Garissa Province, Kenya as observed from a Sentinel-2 image acquired on 26 November 2023 at 10:50 local time and a Landsat 9 image acquired on 21 November 2023 at 10:30 local time. Within analysed area of about 1,000 km², a total of about 110 km² of lands appear to be affected with flood waters. Furthermore, within the analysed area, about 4,600 buildings are identified as affected by the floods. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code FL20230321KEN** This map illustrates satellite detected surface waters in Dagahaley Refugee Camp, Dadaab sub-county, Garissa county, Kenya as observed from a Sentinel-2 image acquired on 26 March 2023 at 07:49 UTC. Within the analyzed area of about 45 km2, about 8 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, 8600 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

DLP is targeted at learners in all public primary schools in Kenya and will cover all the 21,729 primary schools, and nearly 1 million 2016 Class 1 pupils.

**UNOSAT code FL20230321KEN** Status: Increased water extent observed Further action(s): continue monitoring Summary of findings: Increased water observed along Lagh Dera River in the vicinity of Dagahaley Refugee Camp as of 21 March 2023; Cloud cover over Dagahaley and Ifo Refugee Camp as of 21 March 2023; Potentially flooded areas observed in Dadaab town as of 21 March 2023; Increased water in the whole river basin observed around the Dadaab Refugee Complex as of 21 March 2023.

Disaster loss and damage dataset for Kenya

**UNOSAT code: FL20191031KEN** This map illustrates satellite-detected surface water in Wajir East Sub County, Wajir County of Kenya as observed from Sentinel-2 imagery acquired on 28 October 2019. Within the analysed extent of about 450 km2, a total of about 25 km2 of land appear to be flooded. 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.

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.

**UNOSAT code: FL20191031KEN** This map illustrates satellite-detected surface water in Garsen Sub County, Tana River County of Kenya as observed from Sentinel-2 imagery acquired on 28 October 2019. Within the analysed extent of about 150 km2, a total about 12 km2 of land appear to be flooded. 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.

**UNOSAT code: FL20191031KEN** This map illustrates satellite-detected surface water in Wajir East Sub County, Wajir County of Kenya as observed from Sentinel-2 imagery acquired on 2 November 2019. Within the analysed extent of about 200 km2, a total of about 7 km2 of land appear to be flooded. 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.

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 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.

**UNOSAT code: FL20240426KEN** This map illustrates cumulative satellite-detected water using NOAA-VIIRS acquired between the 24th and the 28th of April 2024. about 3,800 km² of land appear to be flooded. Based on Worldpop population data from 2020 and the flood water extent, ~190,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Population data used for this estimate is from 2020. Current population count is not available.

**UNOSAT code: FL20240426KEN, GDACS ID: 1102561** This application provides geospatial information on the ongoing floods in Kenya. Important note: The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The United Nations Satellite Centre. UNOSAT is not responsible for the misuse or misrepresentation of the map.

**UNOSAT code: FL20240426KEN, GDACS ID: 1102561** This map illustrates satellite-detected surface waters in Garissa City and Mororo Village, Kenya, as observed from a Sentinel-2 image acquired on 29 April 2024 at 07:26 UTC Within the analysed area of about 160 km², a total of about 26 km² of land appears to be flooded. Furthermore, within the analysed area 3,440 buildings are identified as potentially affected by the floods as of 29 April 2024. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20240426KEN, GDACS ID: 1102561** This map illustrates satellite-detected landslides in Mai Mahiu and Kijabe Towns, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 2 km² of landslide scars with a total length of 10 km were observed. UNITAR-UNOSAT identified 1,338 affected structures, about 10 km of affected roads, 2 damaged bridges, and 1 damaged railway. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20240426KEN, GDACS ID: 1102561** This map illustrates satellite-detected surface waters in Nairobi and Kiambu County, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 17 km² of land appears to be flooded. UNITAR-UNOSAT identified 3,663 affected structures, about 44 km of affected roads, and 7 affected bridges. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).