Liberia 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 Liberia, 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 6272 geographic locations across Liberia.
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 Liberia is Monrovia.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2277526 | Duko | LR | Lofa | 8.03333 | -10.41667 | 0 | Africa/Monrovia | populated place | |||
| 2277182 | Gasabli | LR | Grand Bassa | 6.45 | -9.53333 | 0 | Africa/Monrovia | populated place | |||
| 2274328 | Potakle | LR | Grand Bassa | 6.28333 | -9.63333 | 0 | Africa/Monrovia | populated place | |||
| 2275157 | Manabli | LR | Grand Bassa | 5.97662 | -9.76497 | 0 | Africa/Monrovia | populated place | |||
| 2275673 | Tope | Kpala,Tope | LR | Nimba | 7.17056 | -8.66444 | 0 | Africa/Monrovia | populated place | ||
| 2272505 | Zolowi | Zodowi,Zolowi,Zulowi,Zulowie | LR | Nimba | 7.43417 | -8.63111 | 0 | Africa/Monrovia | populated place | ||
| 2277267 | Gaawe | LR | Grand Bassa | 6.36667 | -9.91667 | 0 | Africa/Monrovia | populated place | |||
| 2273636 | Tengbelahun | LR | Lofa | 8.05 | -10.06667 | 0 | Africa/Monrovia | populated place | |||
| 2275600 | Kpoto | Kpoto | LR | Margibi | 6.28333 | -10.4 | 0 | Africa/Monrovia | populated place | ||
| 2275582 | Kru | Gosua,Gozua,Kru,Kru Town | LR | Grand Bassa | 5.65 | -9.8 | 0 | Africa/Monrovia | populated place | ||
| 9977264 | Krakree | Krakehn,Krakree | LR | River Gee | 5.20523 | -8.24828 | 0 | Africa/Monrovia | populated place | ||
| 2278765 | Gbei Bonnah | Begiabon,Bwayboonah,Gbei Bonnah | LR | Nimba | 7.17111 | -8.4425 | 0 | Africa/Monrovia | populated place | ||
| 2276051 | Kambolahun | LR | Lofa | 8.34417 | -10.05722 | 0 | Africa/Monrovia | populated place | |||
| 2272513 | Zubaba Town | LR | Montserrado | 6.51667 | -10.51667 | 0 | Africa/Monrovia | populated place | |||
| 2277489 | Dwanta | Dwanta | LR | Margibi | 6.69522 | -10.26266 | 0 | Africa/Monrovia | populated place | ||
| 2278573 | Biluwapa | LR | Nimba | 6.02389 | -8.95278 | 0 | Africa/Monrovia | populated place | |||
| 2277444 | Fanhalahun | Fangalahun,Fangalanun,Fanhalahun | LR | Lofa | 8.31417 | -10.04056 | 0 | Africa/Monrovia | populated place | ||
| 2274116 | Sapawa | LR | Lofa | 8.40861 | -10.12806 | 0 | Africa/Monrovia | populated place | |||
| 2274175 | Saluna | LR | Montserrado | 6.44378 | -10.82734 | 0 | Africa/Monrovia | populated place | |||
| 2274545 | Nyunomagabli | LR | Grand Bassa | 6.3 | -9.66667 | 0 | Africa/Monrovia | populated place | |||
| 2275031 | Mayaka | LR | Bomi | 6.6 | -10.96667 | 0 | Africa/Monrovia | populated place | |||
| 2274122 | Sanson | LR | Margibi | 6.28333 | -10.51667 | 0 | Africa/Monrovia | populated place | |||
| 9870376 | Alfred Flomota | Alfred Flomota | LR | Bong | 6.75202 | -9.38495 | 0 | Africa/Monrovia | populated place | ||
| 2273981 | Seh Town | Se Town,Seh Town | LR | River Cess | 5.88683 | -9.12439 | 0 | Africa/Monrovia | populated place | ||
| 2277104 | Gbalasua | LR | Gbarpolu | 6.98269 | -10.7286 | 0 | Africa/Monrovia | populated place | |||
| 2276879 | Gleozohn | Geosene,Geosone,Gleozohn | LR | River Cess | 6.11524 | -9.45805 | 0 | Africa/Monrovia | populated place | ||
| 2272886 | Yado | Yado | LR | Bong | 6.71667 | -9.18333 | 0 | Africa/Monrovia | populated place | ||
| 2272632 | Zeon | LR | Grand Bassa | 6.38333 | -10.03333 | 0 | Africa/Monrovia | populated place | |||
| 2275204 | Malaike Camp | LR | Grand Cape Mount | 7.28333 | -10.55 | 0 | Africa/Monrovia | populated place | |||
| 2276371 | Jawata Town | Jawata,Jawata Town | LR | Bong | 7.02833 | -9.60694 | 0 | Africa/Monrovia | populated place | ||
| 2273840 | Solape | LR | Lofa | 8.45 | -10.11667 | 0 | Africa/Monrovia | populated place | |||
| 2274801 | Naumake | LR | River Gee | 5.01111 | -7.76111 | 0 | Africa/Monrovia | populated place | |||
| 2273265 | Wakbli | LR | Grand Bassa | 6.38333 | -9.6 | 0 | Africa/Monrovia | populated place | |||
| 2278543 | Blackie | LR | Grand Bassa | 6.2 | -10.23333 | 0 | Africa/Monrovia | populated place | |||
| 2273649 | Tigilee | Teigidi,Teigili,Teigilli,Tigilee | LR | Gbarpolu | 7.67472 | -9.84972 | 0 | Africa/Monrovia | populated place | ||
| 2273320 | Virginia | LR | Montserrado | 6.41667 | -10.76667 | 0 | Africa/Monrovia | populated place | |||
| 2274585 | Sewulu | Nwonki,Sewaru,Sewi,Sewu,Sewulu | LR | Grand Cape Mount | 6.90731 | -11.44462 | 0 | Africa/Monrovia | populated place | ||
| 2276113 | Kadibli | LR | Grand Bassa | 6.26083 | -9.48722 | 0 | Africa/Monrovia | populated place | |||
| 2274964 | Mingo Town | LR | Grand Gedeh | 6.2373 | -7.96578 | 0 | Africa/Monrovia | populated place | |||
| 2277807 | Die Bela | Dia Bela,Die Bela | LR | Nimba | 7.52306 | -8.58556 | 0 | Africa/Monrovia | populated place | ||
| 2272639 | Zelekai | Silikai,Sillykai,Zelekai,Zilikai | LR | Gbarpolu | 7.31667 | -10.06667 | 0 | Africa/Monrovia | populated place | ||
| 9870600 | Geemon | LR | Sinoe | 5.31499 | -8.60675 | 0 | Africa/Monrovia | populated place | |||
| 2273350 | Vanabu | LR | Gbarpolu | 7.73333 | -10.68333 | 0 | Africa/Monrovia | populated place | |||
| 9818150 | Ten Dollars Camp | LR | Grand Bassa | 6.08189 | -9.73454 | 0 | Africa/Monrovia | populated place | |||
| 2272698 | Yuwa Manabli | LR | Grand Bassa | 6.11667 | -9.98333 | 0 | Africa/Monrovia | populated place | |||
| 2277642 | Gboleken | Bowane,Doi,Gbolehken,Gboleken | LR | Grand Gedeh | 6.09132 | -8.12467 | 0 | Africa/Monrovia | populated place | ||
| 2276238 | Johnny Town | LR | Lofa | 8.36389 | -9.96417 | 0 | Africa/Monrovia | populated place | |||
| 2277517 | Dumabli | Dumabli | LR | Margibi | 6.28061 | -10.47886 | 0 | Africa/Monrovia | populated place | ||
| 2272588 | Zio Town | Zio Town | LR | Margibi | 6.3396 | -10.64615 | 0 | Africa/Monrovia | populated place | ||
| 2275360 | Lisbli | LR | Grand Bassa | 6.28045 | -10.04353 | 0 | Africa/Monrovia | populated place | |||
| 2277330 | Fokolahun | Fakolahun,Fokolahun | LR | Lofa | 8.16139 | -10.27417 | 0 | Africa/Monrovia | populated place | ||
| 9818276 | Danielta | LR | Grand Bassa | 6.63769 | -9.69834 | 0 | Africa/Monrovia | populated place | |||
| 2278758 | Behwen | LR | Grand Cape Mount | 6.96667 | -11.25 | 0 | Africa/Monrovia | populated place | |||
| 2572134 | Gbeeah | LR | Nimba | 7.17889 | -8.75861 | 0 | Africa/Monrovia | populated place | |||
| 2272735 | Yonga | LR | Grand Cape Mount | 6.86205 | -10.9957 | 0 | Africa/Monrovia | populated place | |||
| 2277164 | Gawi | Gawi,Gaywee | LR | Nimba | 7.34222 | -8.75694 | 0 | Africa/Monrovia | populated place | ||
| 2272848 | Yamatahun | LR | Lofa | 8.18333 | -10.2 | 0 | Africa/Monrovia | populated place | |||
| 2277982 | Wrabo | Conto,Wrabo | LR | Grand Gedeh | 5.72204 | -7.9219 | 0 | Africa/Monrovia | populated place | ||
| 2278451 | Boba | LR | Grand Cape Mount | 7.18333 | -11.18333 | 0 | Africa/Monrovia | populated place | |||
| 2273224 | Wapuata | LR | Nimba | 7.19083 | -8.71389 | 0 | Africa/Monrovia | populated place | |||
| 2277846 | Dei Wenzohn | LR | Grand Bassa | 6.01526 | -9.8693 | 0 | Africa/Monrovia | populated place | |||
| 9869787 | Joseph Otho’s Town | Joseph Otho’s Town,Joseph Otho’s Town | LR | Bong | 7.012 | -9.2783 | 0 | Africa/Monrovia | populated place | ||
| 9870460 | Duleamue | Duleamue | LR | Bong | 6.9645 | -9.66344 | 0 | Africa/Monrovia | populated place | ||
| 2272738 | Yomo Town | Yoma,Yomata,Yomo Town,Yomoto | LR | Bomi | 6.94861 | -10.76444 | 0 | Africa/Monrovia | populated place | ||
| 2279048 | Bagger Farm | Bagger Farm | LR | Margibi | 6.58383 | -10.29944 | 0 | Africa/Monrovia | populated place | ||
| 2272982 | Woulike | LR | Grand Kru | 5.01667 | -8.28333 | 0 | Africa/Monrovia | populated place | |||
| 9977310 | Bowoyo | LR | Sinoe | 5.24599 | -8.44365 | 0 | Africa/Monrovia | populated place | |||
| 2273090 | Wilibli | LR | Grand Bassa | 6.23333 | -9.95 | 0 | Africa/Monrovia | populated place | |||
| 2272494 | Zuwulo | LR | Lofa | 7.91 | -9.52028 | 0 | Africa/Monrovia | populated place | |||
| 9818129 | Glebo | LR | Bomi | 6.49794 | -10.85281 | 0 | Africa/Monrovia | populated place | |||
| 2275562 | Kuani | LR | Grand Bassa | 6.2 | -9.81667 | 0 | Africa/Monrovia | populated place | |||
| 2275478 | Kwito | LR | River Cess | 5.63269 | -9.60468 | 0 | Africa/Monrovia | populated place | |||
| 2273205 | Wawabli | LR | River Cess | 5.52394 | -9.66056 | 0 | Africa/Monrovia | populated place | |||
| 9870543 | Sammy Saylar | LR | Sinoe | 5.32723 | -8.90111 | 0 | Africa/Monrovia | populated place | |||
| 2273095 | Wiibli | LR | Grand Bassa | 6.05 | -10.08333 | 0 | Africa/Monrovia | populated place | |||
| 9815409 | Wehgar | LR | Grand Bassa | 6.57647 | -9.23604 | 0 | Africa/Monrovia | populated place | |||
| 2276789 | Kpoapa | Gbapa,Goampa,Guapa,Kpoahpa,Kpoapa,Kpuopa | LR | Nimba | 7.12139 | -8.94833 | 0 | Africa/Monrovia | populated place | ||
| 2276681 | Gonoko | LR | Grand Cape Mount | 6.81667 | -11.18333 | 0 | Africa/Monrovia | populated place | |||
| 2278590 | Biesua | LR | Bomi | 6.7305 | -10.82582 | 0 | Africa/Monrovia | populated place | |||
| 2278852 | Batesu | LR | Lofa | 8.40583 | -10.12028 | 0 | Africa/Monrovia | populated place | |||
| 2276870 | Getita | Getita,Getita Town | LR | Nimba | 6.99833 | -9.16556 | 0 | Africa/Monrovia | populated place | ||
| 9870484 | Garquoita | Garquoita | LR | Bong | 6.84952 | -9.54153 | 0 | Africa/Monrovia | populated place | ||
| 2278281 | Bongwata | LR | Margibi | 6.76667 | -9.78333 | 0 | Africa/Monrovia | populated place | |||
| 2278654 | Be Tape | LR | Bomi | 6.93354 | -10.82585 | 0 | Africa/Monrovia | populated place | |||
| 9890269 | Banana | LR | Grand Gedeh | 6.18494 | -8.06843 | 0 | Africa/Monrovia | populated place | |||
| 2275122 | Managrordellah | Managodua,Managohdua,Managrordellah,Managòhdua,Mano Godua | LR | Grand Cape Mount | 7.163 | -10.89203 | 0 | Africa/Monrovia | populated place | ||
| 2276586 | Guanakayun | Guanakayun | LR | Bong | 7.05 | -9.3 | 0 | Africa/Monrovia | populated place | ||
| 2275198 | Male Town | Male,Male Town | LR | Bong | 6.84028 | -9.24 | 0 | Africa/Monrovia | populated place | ||
| 2279087 | Babli | LR | River Cess | 5.47549 | -9.58362 | 0 | Africa/Monrovia | populated place | |||
| 2276134 | Juwlenkon | LR | Grand Bassa | 6.16216 | -10.28042 | 0 | Africa/Monrovia | populated place | |||
| 2273600 | Tienimai | Tienimai,Tienimani | LR | Grand Cape Mount | 6.69129 | -11.14197 | 0 | Africa/Monrovia | populated place | ||
| 2571677 | Yarbayai | LR | Bong | 6.88222 | -10.18417 | 0 | Africa/Monrovia | populated place | |||
| 2277442 | Fani Town | Fani,Fani Town | LR | Montserrado | 6.77144 | -10.54213 | 0 | Africa/Monrovia | populated place | ||
| 2272590 | Bonkalo | Bonkalo,Zionzoegabli | LR | Grand Bassa | 6.01435 | -9.95903 | 0 | Africa/Monrovia | populated place | ||
| 2277610 | Dongabli | LR | Grand Bassa | 6.35 | -10.2 | 0 | Africa/Monrovia | populated place | |||
| 2277917 | Dantita | Dandita,Dantita | LR | Bong | 6.94889 | -9.72528 | 0 | Africa/Monrovia | populated place | ||
| 2273541 | Tofac Village | Tofac Village,Tofae Village | LR | Gbarpolu | 6.88646 | -10.71265 | 0 | Africa/Monrovia | populated place | ||
| 2273601 | Tiene | Teahine,Tiene,Tieni,Tienne,Tienni,Tini,Toenni | LR | Grand Cape Mount | 6.96767 | -11.31311 | 0 | Africa/Monrovia | populated place | ||
| 2276936 | Bongaplay | Bongaplay,Bople,Borplay,Borpley,Dalawe,Gbople,Gborplay | LR | Nimba | 7.01111 | -8.30778 | 0 | Africa/Monrovia | populated place | ||
| 2275953 | Kema Town | LR | Montserrado | 6.36861 | -10.63056 | 0 | Africa/Monrovia | populated place |
Liberia’s Urban Fabric: Mapping the Future from a Geographer’s Lens
A Landscape Born from History and Shaped by Geography
Liberia is a nation with a story unlike any other. Founded by freed African-Americans in the 19th century, it blends coastal dynamism with inland resilience. But beyond its historical narrative lies a spatial reality that geographers and planners must reckon with—a country whose cities are as diverse in terrain as they are in function. From the coastal capital of Monrovia to the densely forested counties of Lofa and Nimba, Liberia's geography is a mosaic that demands detailed, structured understanding.
As someone who has spent years decoding the geospatial patterns of West Africa, I believe that knowing Liberia means knowing its cities—every township, district, and administrative unit. That is precisely why I’ve compiled an exhaustive and reliable city dataset for Liberia, one that’s accessible, accurate, and now available in Excel format.
Regions and Administrative Units: The Foundation of Urban Clarity
Liberia’s administrative structure includes 15 counties, each subdivided into districts, which in turn contain various cities, towns, and communities. These divisions are more than just bureaucratic markers—they are geographic frameworks that define service delivery, economic flow, and cultural identity. Gbarnga in Bong County is not just a city—it’s a node of education and transport in the Central Region. Harper, located in the southeast, anchors the Maryland County coast with trade and agriculture.
The database I've built reflects this structural reality. Each city is linked explicitly to its corresponding county and district. This level of granularity transforms a flat list of names into a living geographic system—one that mirrors the real administrative mechanics on the ground.
Latitude and Longitude: Grounding the Map in Precision
If Liberia’s cities are the bones of its urban body, then coordinates are the connective tissue. Precise latitude and longitude data allows for more than just cartographic mapping—it opens the door to climate modeling, infrastructure planning, mobile service optimization, and even disaster response simulations.
Every city in our Liberia dataset is georeferenced with pinpoint accuracy. Yet the power of such spatial data depends on how accessible and manipulable it is, especially for those who don’t work with GIS platforms every day.
Why Excel Format Changes Everything
Here’s where the breakthrough happens: our Liberia city dataset is now available in **Excel (.xlsx)** format.
Why is this so impactful? Because Excel democratizes data. From government analysts to field researchers, from NGOs to students, Excel offers a platform that is instantly familiar yet deeply capable. Users can filter by region, sort by county, or analyze patterns across hundreds of cities with zero coding experience.
The Excel format is more than a file type—it’s a strategic tool that turns raw geodata into insight. Need to generate quick graphs of urban concentration? Done. Want to cross-reference cities with demographic or economic indicators? Excel makes it effortless. For a country like Liberia, where development decisions must be agile, accessible data in Excel is nothing short of vital.
Beyond Excel: Formats for Every Application
While Excel is now at the forefront of our delivery formats, the dataset is also structured to meet technical and scalable needs. It is fully available in:
* **CSV** – Ideal for lightweight data manipulation and integration
* **SQL** – Designed for structured query environments and data warehouses
* **JSON** – Perfect for web apps, mobile tools, and APIs
* **XML** – Suited for legacy systems and complex data exchanges
Whatever the workflow, the dataset adapts—seamlessly.
Urban Insight for Development, Resilience, and Opportunity
Liberia’s cities are undergoing change. Some are recovering from years of underinvestment; others are expanding rapidly due to internal migration. But effective urban management depends on knowing exactly where people live, under which administrative structures, and how they are spatially distributed.
Whether planning road networks in Bomi County or deploying health infrastructure in Grand Kru, geospatial intelligence begins with the kind of database we offer: clear, structured, flexible, and now easily navigable in Excel.
Conclusion: A Call to Map Liberia with Purpose
Geography is never passive. In Liberia, it is the silent force behind everything from transport routes to school locations to disaster recovery zones. That’s why I created this database—because every city in Liberia deserves to be seen, studied, and served with precision.
If you're working on Liberia—from policy to research, from logistics to education—start with a map, but don’t stop there. With our detailed city data, especially in the powerful and user-friendly Excel format, you gain more than coordinates. You gain the tools to act with clarity and purpose in a country ready to be mapped, built, and understood.
