Kenya Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here you’ll find a curated sample of 100 key cities from Kenya, each with essential data points such as latitude, longitude, administrative region, and other relevant attributes.
This preview is extracted from our full dataset, which includes a total of 6552 geographic locations across Kenya.
Whether you’re working on mapping, analytics, or app development, the data is available for both personal and commercial use.
All entries can be downloaded in five formats: Excel (.xlsx), CSV, SQL, JSON, and XML.
Capital Highlight: The official capital city of Kenya is Nairobi.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 192161 | Kikombe | KE | Machakos | -1.45884 | 37.35373 | 0 | Africa/Nairobi | populated place | |||
| 190583 | Kone | Kone,Koni | KE | Tana River | -1.50867 | 40.04258 | 0 | Africa/Nairobi | populated place | ||
| 11817285 | Pkopoch | KE | West Pokot | 1.34572 | 35.08935 | 0 | Africa/Nairobi | populated place | |||
| 186567 | Mitaboni | Mitaaboni,Mitaboni | KE | Machakos | -1.37589 | 37.25071 | 0 | Africa/Nairobi | populated place | ||
| 183838 | Ngandu | Ngandu | KE | Nyeri | -0.45806 | 37.09463 | 0 | Africa/Nairobi | populated place | ||
| 197128 | God Sibwoche | God Sibuoche,God Sibwoche,Got Sibwoche | KE | Migori | -0.96692 | 34.37376 | 0 | Africa/Nairobi | populated place | ||
| 11964487 | Mawingo | KE | Nakuru | -0.28789 | 35.59421 | 0 | Africa/Nairobi | populated place | |||
| 11881539 | Kithiiri | KE | Meru | 0.09824 | 37.79116 | 0 | Africa/Nairobi | populated place | |||
| 185867 | Mukingi | KE | Vihiga | 0.09024 | 34.72195 | 0 | Africa/Nairobi | populated place | |||
| 180907 | Sabatia | KE | Baringo | -0.03395 | 35.74407 | 0 | Africa/Nairobi | populated place | |||
| 11784475 | Memba | KE | Siaya | -0.15213 | 34.36452 | 0 | Africa/Nairobi | populated place | |||
| 191169 | Kiteta | KE | Machakos | -1.49961 | 37.52332 | 0 | Africa/Nairobi | populated place | |||
| 10345175 | Dandu | KE | Mandera | 3.42297 | 39.8799 | 0 | Africa/Nairobi | populated place | |||
| 186049 | Muvuko | Mubuko,Muvuko | KE | Kitui | -1.95539 | 38.11971 | 0 | Africa/Nairobi | populated place | ||
| 185474 | Museve | Musebe,Museve | KE | Kitui | -1.32574 | 38.06318 | 0 | Africa/Nairobi | populated place | ||
| 186388 | Modi | KE | Migori | -0.88823 | 34.19447 | 0 | Africa/Nairobi | populated place | |||
| 195955 | Jila | Jila | KE | Kilifi | -3.42291 | 39.53519 | 0 | Africa/Nairobi | populated place | ||
| 187316 | Matiliku | Mataliko,Matiliko,Matiliku | KE | Makueni | -1.96508 | 37.53209 | 0 | Africa/Nairobi | populated place | ||
| 11947624 | Boma | Boma,Bomas | KE | Laikipia | 0.33675 | 36.68798 | 0 | Africa/Nairobi | populated place | ||
| 182192 | Olmesutye | Ol Mesuti,Olmesutie,Olmesutye | KE | Narok | -1.90006 | 35.75471 | 0 | Africa/Nairobi | populated place | ||
| 11871680 | Tarakwa | KE | Uasin Gishu | 0.2695 | 35.39485 | 0 | Africa/Nairobi | populated place | |||
| 195780 | Kabianga | KE | Kericho | -0.44399 | 35.13663 | 0 | Africa/Nairobi | populated place | |||
| 195354 | Kairaa | KE | Meru | -0.14777 | 37.68694 | 0 | Africa/Nairobi | populated place | |||
| 11964364 | Kibajit | KE | Bomet | -0.72759 | 35.15739 | 0 | Africa/Nairobi | populated place | |||
| 11871559 | Yalusi | KE | Bungoma | 0.53877 | 34.70257 | 0 | Africa/Nairobi | populated place | |||
| 11829966 | Weru Settlement | KE | Nyandarua | -0.10544 | 36.38157 | 0 | Africa/Nairobi | populated place | |||
| 11981532 | Kiseuni | KE | Machakos | -0.94287 | 37.74441 | 0 | Africa/Nairobi | populated place | |||
| 11981659 | Mukiria | KE | Embu | -0.49833 | 37.85012 | 0 | Africa/Nairobi | populated place | |||
| 197900 | Gakalet | Gakalet,Kekalet | KE | Busia | 0.6821 | 34.31766 | 0 | Africa/Nairobi | populated place | ||
| 197920 | Gai | KE | Kitui | -0.60783 | 38.19257 | 0 | Africa/Nairobi | populated place | |||
| 183950 | Nduru | KE | Siaya | 0.01104 | 34.36443 | 0 | Africa/Nairobi | populated place | |||
| 11964198 | Gosonso | KE | Kisii | -0.84307 | 34.63236 | 0 | Africa/Nairobi | populated place | |||
| 11830770 | Mugunda | KE | Nyeri | -0.16571 | 36.70228 | 0 | Africa/Nairobi | populated place | |||
| 190742 | Kokale | KE | Busia | 0.57183 | 34.33076 | 0 | Africa/Nairobi | populated place | |||
| 185974 | Mugurin | Mugerin,Mugurin | KE | Baringo | 0.10001 | 36.03689 | 0 | Africa/Nairobi | populated place | ||
| 191914 | Kiminda | KE | Nandi | 0.15156 | 35.11428 | 0 | Africa/Nairobi | populated place | |||
| 194855 | Kamarabuyon | Kamarabuyon | KE | Baringo | 0.48333 | 36.18333 | 0 | Africa/Nairobi | populated place | ||
| 185195 | Mwaani | KE | Makueni | -1.77042 | 37.66708 | 0 | Africa/Nairobi | populated place | |||
| 182784 | Nyangweso | Nyangweso | KE | Siaya | 0.06963 | 34.46763 | 0 | Africa/Nairobi | populated place | ||
| 192455 | Kibirigwi | KE | Kirinyaga | -0.52863 | 37.17829 | 0 | Africa/Nairobi | populated place | |||
| 190371 | Koyo | KE | Homa Bay | -0.58192 | 34.60674 | 0 | Africa/Nairobi | populated place | |||
| 11427353 | Nachola | KE | Samburu | 1.77191 | 36.60218 | 0 | Africa/Nairobi | populated place | |||
| 191484 | Kiria | KE | Murang’A | -0.75 | 37.06667 | 0 | Africa/Nairobi | populated place | |||
| 185117 | Mwaluvanga | Mwaluvanga | KE | Kwale | -4.42536 | 39.35043 | 0 | Africa/Nairobi | populated place | ||
| 201070 | Alungo | KE | Kisumu | -0.18095 | 34.507 | 0 | Africa/Nairobi | populated place | |||
| 182993 | Nyakihai | KE | Murang’A | -0.68216 | 37.12013 | 0 | Africa/Nairobi | populated place | |||
| 189367 | Litein | Litein | KE | Kericho | -0.58249 | 35.18969 | 3129 | Africa/Nairobi | populated place | ||
| 201140 | Akoko | KE | Migori | -1.0051 | 34.58848 | 0 | Africa/Nairobi | populated place | |||
| 179005 | Tulia | KE | Kitui | -1.1858 | 37.97774 | 0 | Africa/Nairobi | populated place | |||
| 182691 | Nyilima | KE | Siaya | -0.148 | 34.3857 | 0 | Africa/Nairobi | populated place | |||
| 11964305 | Nyageita | KE | Nyamira | -0.49117 | 34.95583 | 0 | Africa/Nairobi | populated place | |||
| 191364 | Kirundu | Kirundu | KE | Murang’A | -0.8 | 37.06667 | 0 | Africa/Nairobi | populated place | ||
| 195902 | Juja | Juga,Juja | KE | Kiambu | -1.18285 | 37.11081 | 0 | Africa/Nairobi | populated place | ||
| 200297 | Bongo | KE | Nyandarua | -0.77016 | 36.59974 | 0 | Africa/Nairobi | populated place | |||
| 197631 | Gathiriga | KE | Kiambu | -0.9587 | 36.73953 | 0 | Africa/Nairobi | populated place | |||
| 11871668 | Mumetet | KE | Uasin Gishu | 0.73486 | 35.30967 | 0 | Africa/Nairobi | populated place | |||
| 183724 | Ngesedai | Ngesedai,Ngesedai Farm | KE | Nakuru | -0.11649 | 35.94265 | 0 | Africa/Nairobi | populated place | ||
| 198830 | Duldul | Duldul | KE | Lamu | -1.91667 | 40.73333 | 0 | Africa/Nairobi | populated place | ||
| 181206 | Riondonga | KE | Kisii | -0.75158 | 34.84708 | 0 | Africa/Nairobi | populated place | |||
| 199741 | Cheborge | KE | Kericho | -0.57894 | 35.14417 | 0 | Africa/Nairobi | populated place | |||
| 200146 | Bukusi | KE | Kakamega | 0.22348 | 34.72276 | 0 | Africa/Nairobi | populated place | |||
| 187372 | Mathangeini | Matha-geni,Mathangeini,Mathangiini,Mathanjeini | KE | Murang’A | -0.76989 | 36.87159 | 0 | Africa/Nairobi | populated place | ||
| 11981521 | Kombos | KE | Embu | -0.72711 | 37.65335 | 0 | Africa/Nairobi | populated place | |||
| 190401 | Kotoe | KE | Makueni | -2.03964 | 37.47601 | 0 | Africa/Nairobi | populated place | |||
| 186656 | Mimosa | KE | Uasin Gishu | 0.39086 | 35.28549 | 0 | Africa/Nairobi | populated place | |||
| 181959 | Oltepesi | KE | Kajiado | -1.56296 | 36.47143 | 0 | Africa/Nairobi | populated place | |||
| 192191 | Kijipwa | Kijipoa,Kijipwa | KE | Kilifi | -3.83494 | 39.82423 | 0 | Africa/Nairobi | populated place | ||
| 184129 | Ndiara | Ndiara | KE | Nyandarua | -0.3 | 36.5 | 0 | Africa/Nairobi | populated place | ||
| 191228 | Kitagwa | KE | Vihiga | 0.0108 | 34.72555 | 0 | Africa/Nairobi | populated place | |||
| 11867974 | Kisyuni | KE | Kitui | -1.722 | 38.38528 | 0 | Africa/Nairobi | populated place | |||
| 179266 | Thuita | KE | Murang’A | -0.83333 | 37.03333 | 0 | Africa/Nairobi | populated place | |||
| 197285 | Githamba | Githamba | KE | Kiambu | -1.06667 | 36.81667 | 0 | Africa/Nairobi | populated place | ||
| 181379 | Ramogi | KE | Siaya | 0 | 34.05 | 0 | Africa/Nairobi | populated place | |||
| 11964519 | Baraget | KE | Nakuru | -0.39957 | 35.70406 | 0 | Africa/Nairobi | populated place | |||
| 191254 | Kisou | KE | Kitui | -2.08683 | 38.24652 | 0 | Africa/Nairobi | populated place | |||
| 186831 | Merti | KE | Isiolo | 1.06725 | 38.6662 | 0 | Africa/Nairobi | populated place | |||
| 194238 | Kanziku | Kanziko,Kanziku | KE | Kitui | -1.95657 | 38.36268 | 0 | Africa/Nairobi | populated place | ||
| 11784564 | Nyakune | KE | Migori | -0.88747 | 34.32268 | 0 | Africa/Nairobi | populated place | |||
| 11525377 | Noju | KE | Lamu | -2.02405 | 40.79968 | 0 | Africa/Nairobi | populated place | |||
| 180715 | Saniak | KE | Nandi | 0.33686 | 35.08166 | 0 | Africa/Nairobi | populated place | |||
| 192887 | Keringet | KE | West Pokot | 1.21294 | 35.04956 | 0 | Africa/Nairobi | populated place | |||
| 184037 | Ndoswa | KE | Nakuru | -0.34015 | 35.8646 | 0 | Africa/Nairobi | populated place | |||
| 197602 | Gatiaini | Gatiaini,Gatiani | KE | Murang’A | -0.77883 | 36.82285 | 0 | Africa/Nairobi | populated place | ||
| 195063 | Kali | KE | Machakos | -1.63365 | 37.38332 | 0 | Africa/Nairobi | populated place | |||
| 191106 | Kithumani | KE | Makueni | -1.93186 | 37.46657 | 0 | Africa/Nairobi | populated place | |||
| 197203 | Gitithia | Gitithia | KE | Kiambu | -1.03753 | 36.61495 | 0 | Africa/Nairobi | populated place | ||
| 180756 | Samuli | Samuli | KE | Kajiado | -2.12413 | 37.42715 | 0 | Africa/Nairobi | populated place | ||
| 11867989 | Nguuni | KE | Kitui | -1.71736 | 38.09264 | 0 | Africa/Nairobi | populated place | |||
| 197245 | Githioro | KE | Kiambu | -1.00007 | 36.79739 | 0 | Africa/Nairobi | populated place | |||
| 11830864 | Kariani | KE | Kirinyaga | -0.44249 | 37.31472 | 0 | Africa/Nairobi | populated place | |||
| 189932 | Kyandili | KE | Machakos | -1.62336 | 37.37428 | 0 | Africa/Nairobi | populated place | |||
| 181401 | Ramada | KE | Kilifi | -2.91955 | 39.99527 | 0 | Africa/Nairobi | populated place | |||
| 192286 | Kigato | KE | Kwale | -4.18853 | 39.55268 | 0 | Africa/Nairobi | populated place | |||
| 185712 | Mumbuni | KE | Machakos | -1.5 | 37.26667 | 0 | Africa/Nairobi | populated place | |||
| 11867962 | Kivyuni | KE | Kitui | -1.82778 | 38.32286 | 0 | Africa/Nairobi | populated place | |||
| 195512 | Kagumo | KE | Murang’A | -0.73333 | 37 | 0 | Africa/Nairobi | populated place | |||
| 197584 | Gatitu B | KE | Kiambu | -1.01907 | 36.8468 | 0 | Africa/Nairobi | populated place | |||
| 187449 | Masumba | KE | Makueni | -2.01588 | 37.62681 | 0 | Africa/Nairobi | populated place | |||
| 181009 | Ruku | KE | Kiambu | -1.20725 | 36.70759 | 0 | Africa/Nairobi | populated place | |||
| 11947605 | Cattle Boma | KE | Laikipia | 0.44498 | 36.4224 | 0 | Africa/Nairobi | populated place |
Kenya: Charting the Heartbeat of East Africa Through Cities and Coordinates
The Geographic Pulse of Kenya
Kenya is not just a country—it’s a crossroads of continents, climates, and cultures. From the coastal humidity of Mombasa to the cool highlands of Eldoret, every city pulses with a rhythm shaped by altitude, proximity to the Rift Valley, and historical pathways of trade and migration. As a geographer, it is impossible not to marvel at the complexity and richness of Kenya’s spatial fabric.
What truly brings this country’s spatial story to life is not just its famous landscapes—the savannahs, lakes, and escarpments—but its cities and how they are nested within administrative boundaries that often trace deep cultural and ecological divisions. Each city in Kenya is part of a broader county, and each county holds within it a distinctive blend of linguistic, economic, and geographic identity.
Understanding Kenya Through Its Counties and Cities
Kenya’s 47 counties are more than administrative conveniences—they are units of identity, governance, and regional development. When we map the cities of Kenya, anchoring them within their respective counties and departments, we start to see how decentralization shapes infrastructure, resource distribution, and local economies.
In our city-level database of Kenya, every urban area—whether it's the bustling capital Nairobi, the lakeside city of Kisumu, or the rapidly growing centers like Thika and Kitale—is carefully linked to its county. This classification is essential for researchers analyzing regional development, businesses exploring market expansion, and planners modeling urban growth.
Coordinates and the Need for Accuracy
Latitude and longitude are not mere technical data—they’re the essential keys to spatial analysis. In Kenya, where topography shifts dramatically within short distances, having precise coordinates for each city allows for powerful insights.
Whether it's understanding the agricultural viability of Nakuru’s hinterlands or modeling transportation flows from Garissa to the coast, accurate geolocation is fundamental. Our dataset provides this accuracy for every city in Kenya, enabling geospatial visualization and analysis at both local and national scales.
The Power of Excel in Urban and Regional Analysis
Perhaps the most exciting development in our dataset is the inclusion of **Excel (xlsx)** format. This change is more than technical—it’s philosophical. By offering city data in Excel, we break the barrier that often separates data from everyday users.
Excel opens Kenya’s urban landscape to educators creating lesson plans, NGOs assessing rural access, journalists crafting infographics, and entrepreneurs targeting underserved towns. With Excel, users can filter by county, sort by elevation zones, and analyze urban spread without needing database expertise.
For many, Excel is the bridge between raw data and actionable insight—and now, Kenya is available to them in just a few clicks.
A Dataset That Speaks Multiple Languages
Beyond Excel, our Kenyan city data is accessible in:
* **CSV** – For flexible import into almost any tool
* **SQL** – For integration into structured databases
* **JSON** – For web development and modern applications
* **XML** – For systems that require hierarchical data formatting
Each version maintains a unified structure, ensuring that no matter your platform, the integrity of Kenya’s city data remains consistent.
Why City Data Matters for Kenya’s Future
Kenya is a nation on the move—its cities are expanding, rural hubs are urbanizing, and infrastructure is reaching new frontiers. Urban planning, disaster preparedness, climate adaptation, and economic forecasting all depend on high-quality, structured geographic data.
Our database is designed to support that future. With city names, administrative affiliations, and precise coordinates, we provide the tools to understand Kenya’s evolving geography with clarity and depth.
Conclusion: Mapping Kenya, Empowering Insight
Kenya deserves more than just admiration—it deserves understanding. Through the lens of a geographer, this understanding begins with detailed city data: where places are, how they’re governed, and how they connect.
Now, with the powerful inclusion of Excel format alongside CSV, SQL, JSON, and XML, we make that data accessible to all—students, policymakers, researchers, and developers alike. Whether you're studying urbanization trends, planning humanitarian logistics, or simply curious about Kenya's spatial identity, the map has never been more detailed—or more usable.
