Download Kenya Administrative Boundary Shapefiles – National, Provinces, Counties and more

IGISMAP, a platform catering to GIS enthusiasts, has launched specialized GIS data for Kenya, expanding its collection to cover more than 100 countries. This dataset offers a comprehensive and up-to-date view of Kenya’s geographical and administrative features, including water bodies, roads, and airports. The data includes diverse administrative boundaries, making it useful for mapping projects at various levels. Various formats such as ESRI Shapefile, KML, GeoJSON, and CSV are available for easy integration. This opportunity allows for the enhancement of mapping efforts with the latest GIS data for Kenya, including detailed administrative boundaries.

Exciting news for GIS enthusiasts! MAPOG‘s GIS data collection has expanded to encompass Kenya, along with over 100 other countries. Explore the comprehensive and updated GIS data for Kenya, which includes a diverse array of geographic and administrative features such as water bodies, roads, airport locations, and more. This dataset covers various administrative boundaries, providing valuable insights for your mapping projects, whether at the national or local level. You have the flexibility to select from formats like ESRI Shapefile, KML, GeoJSON, and CSV for convenient downloads. Don’t miss this fantastic opportunity to enhance your mapping projects with the latest GIS data for Kenya, including administrative boundaries. Happy exploring and mapping!

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster filesadd WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysiscreate gridstransform points into polygons, calculate isochrones, and utilize the geocoder for precise location information.

We offer a diverse range of data formats, including KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS, ensuring compatibility and accessibility for various applications and analyses.


  • All data available are in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • You need to login for downloading the shapefile.

Download Shapefile Data of Kenya

Kenya, officially known as the Republic of Kenya, is situated in East Africa. With a population exceeding 47.6 million according to the 2019 census, Kenya ranks as the 28th most populous nation globally and the 7th within Africa. Nairobi, Kenya’s capital and largest city, takes center stage, while Mombasa, the coastal city that was historically Kenya’s initial capital until 1907, stands as the country’s oldest and second largest city. This encompasses Mombasa Island in the Indian Ocean, as well as the surrounding mainland.

Kenya National Boundary

Download Kenya National Boundary Shapefile

After successfully logging in with a legitimate email address, select the country you want to work with. Next, choose the specific layer you need and click on the download option. Once that’s done, pick the desired format to acquire the essential GIS data. Before proceeding with the data download, make sure to review the data table for any relevant information.

Download Kenya Counties Shapefile Data

Kenya has been divided into 47 counties since 2010.

Kenya Counties Boundaries

Download Kenya Counties Shapefile

This shapefile covers following Counties of Kenya listed below:

  1. Mombasa
  2. Kwale
  3. Kilifi
  4. Tana River
  5. Lamu
  6. Taita Taveta
  7. Garissa
  8. Wajir
  9. Mandera
  10. Marsabit
  11. Isiolo
  12. Meru
  13. Tharaka Nithi
  14. Embu
  15. Kitui
  16. Machakos
  17. Makueni
  18. Nyandarua
  19. Nyeri
  20. Kirinyaga
  21. Murang’a
  22. Kiambu
  23. Turkana
  24. West Pokot
  25. Samburu
  26. Trans-Nzoia
  27. Uasin Gishu
  28. Elgeyo-Marakwet
  29. Nandi
  30. Baringo
  31. Laikipia
  32. Nakuru
  33. Narok
  34. Kajiado
  35. Kericho
  36. Bomet
  37. Kakamega
  38. Vihiga
  39. Bungoma
  40. Busia
  41. Siaya
  42. Kisumu
  43. Homa Bay
  44. Migori
  45. Kisii
  46. Nyamira
  47. Nairobi

Download Kenya Administrative Boundaries Combined Shapefile Data

Kenya is divided into 47 counties for administrative purposes. Each county is further subdivided into smaller administrative units such as sub-counties, constituencies, wards, and villages. These administrative divisions help in the governance and organization of the country.

This dataset encompasses significant administrative boundaries in Kenya, including national, provincial, and county levels.

Kenya National, Province and Counties Boundaries

Download Kenya National, Province, Counties Shapefile

Other Administrative Boundary Data:

Other GIS Data:

Above all links are provided for GIS data of Kenya if you are looking for any specific data please write us on

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
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  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic

Disclaimer : If you find any shapefile data of country provided is incorrect do contact us or comment below, so that we will correct the same in our system as well we will try to correct the same in openstreetmap.

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