Benin 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 Benin, 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 3710 geographic locations across Benin.
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 Benin is Porto-Novo.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2394006 | Gougouta | BJ | Kouffo | 7.41607 | 1.71981 | 0 | Africa/Porto-Novo | populated place | |||
| 2395831 | Agan | BJ | Collines | 8.02556 | 1.68326 | 0 | Africa/Porto-Novo | populated place | |||
| 2392162 | Pékinga | BJ | Alibori | 12.3492 | 2.85185 | 0 | Africa/Porto-Novo | populated place | |||
| 2391131 | Tokpa | Tokpa,Topa | BJ | Atlantique | 6.69921 | 2.03977 | 0 | Africa/Porto-Novo | populated place | ||
| 2393109 | Koutchounchoungou | BJ | Atakora | 10.34234 | 1.17588 | 0 | Africa/Porto-Novo | populated place | |||
| 2393973 | Gountia | BJ | Atakora | 10.20563 | 2.09721 | 0 | Africa/Porto-Novo | populated place | |||
| 2392235 | Pabaté | BJ | Atakora | 10.4703 | 1.47631 | 0 | Africa/Porto-Novo | populated place | |||
| 2391725 | Sinoou | BJ | Atakora | 10.16331 | 2.19411 | 0 | Africa/Porto-Novo | populated place | |||
| 12182038 | Wansokou | BJ | Atakora | Toucountouna | 10.44193 | 1.30216 | 0 | Africa/Porto-Novo | populated place | ||
| 2394199 | Gbakpodji | Gbakpodji | BJ | Mono | Commune of Bopa | 6.66079 | 1.86369 | 0 | Africa/Porto-Novo | populated place | |
| 2394998 | Bopokou | BJ | Borgou | 9.16801 | 2.60273 | 0 | Africa/Porto-Novo | populated place | |||
| 2393507 | Kinta | BJ | Borgou | 10.02322 | 3.01557 | 0 | Africa/Porto-Novo | populated place | |||
| 2390830 | Yaodarou | BJ | Alibori | 11.04675 | 2.72527 | 0 | Africa/Porto-Novo | populated place | |||
| 2391075 | Toukadouo | BJ | Atakora | 10.8123 | 1.07577 | 0 | Africa/Porto-Novo | populated place | |||
| 2390989 | Walrou | Oulaougou,Walrou | BJ | Donga | 9.58333 | 1.8 | 0 | Africa/Porto-Novo | populated place | ||
| 2390841 | Yalou | BJ | Donga | 9.50173 | 1.52089 | 0 | Africa/Porto-Novo | populated place | |||
| 2391446 | Tankonga | BJ | Atakora | 10.73333 | 1.66667 | 0 | Africa/Porto-Novo | populated place | |||
| 2394554 | Dodokpané | BJ | Alibori | 11.16785 | 2.91481 | 0 | Africa/Porto-Novo | populated place | |||
| 2393184 | Koundé | BJ | Atakora | 10.65551 | 1.47732 | 0 | Africa/Porto-Novo | populated place | |||
| 2395635 | Allada | Allada | BJ | Atlantique | Commune of Allada | 6.66547 | 2.15138 | 20094 | Africa/Porto-Novo | populated place | |
| 2392604 | Nassoukou | Nansougou,Nansougou-Sinapakoussou,Nansugu,Nassougou,Nassoukou,Nassugu | BJ | Atakora | 10.77243 | 1.8238 | 0 | Africa/Porto-Novo | populated place | ||
| 2395718 | Ahouamé | BJ | Zou | 7.36309 | 1.97976 | 0 | Africa/Porto-Novo | populated place | |||
| 2393890 | Hétin | Dekin-Hetin,Hetin,Hétin | BJ | Ouémé | 6.6 | 2.48333 | 0 | Africa/Porto-Novo | populated place | ||
| 2395923 | Abata | Abata,Adjadji Bata | BJ | Atlantique | 6.61667 | 2.03333 | 0 | Africa/Porto-Novo | populated place | ||
| 2395110 | Bidaodè | BJ | Donga | 9.79056 | 1.3913 | 0 | Africa/Porto-Novo | populated place | |||
| 2392159 | Pélékégon | BJ | Zou | 7.38333 | 1.75 | 0 | Africa/Porto-Novo | populated place | |||
| 2391913 | Sarawalou | BJ | Borgou | 9.25991 | 2.60079 | 0 | Africa/Porto-Novo | populated place | |||
| 2395206 | Bégourou | BJ | Borgou | 9.446 | 2.74298 | 0 | Africa/Porto-Novo | populated place | |||
| 2390718 | Zoudjamé | Zoudjame,Zoudjamé,Zoungame | BJ | Mono | 6.81667 | 1.86667 | 0 | Africa/Porto-Novo | populated place | ||
| 2392196 | Parou | BJ | Borgou | 10.48793 | 2.50093 | 0 | Africa/Porto-Novo | populated place | |||
| 2393073 | Kpalakérin | BJ | Donga | 9.6 | 1.66667 | 0 | Africa/Porto-Novo | populated place | |||
| 2394728 | Darno | BJ | Borgou | 9.44121 | 2.71339 | 0 | Africa/Porto-Novo | populated place | |||
| 2391702 | Soaodou | BJ | Atakora | 10.27848 | 1.98985 | 0 | Africa/Porto-Novo | populated place | |||
| 2390921 | Wengnam | BJ | Donga | 9.56667 | 1.78333 | 0 | Africa/Porto-Novo | populated place | |||
| 2392730 | Molla | BJ | Atakora | 11.90258 | 3.26526 | 0 | Africa/Porto-Novo | populated place | |||
| 2392816 | Manogayé | BJ | Atakora | 10.83808 | 1.05197 | 0 | Africa/Porto-Novo | populated place | |||
| 2392234 | Pabégou | Pabego,Pabegou,Pabegu,Pabégo,Pabégou | BJ | Donga | Copargo | 9.79708 | 1.57624 | 0 | Africa/Porto-Novo | populated place | |
| 2391698 | Soa Wodou | BJ | Borgou | 9.96519 | 2.72759 | 0 | Africa/Porto-Novo | populated place | |||
| 2392779 | Matioukparou | BJ | Borgou | 10.15415 | 3.28234 | 0 | Africa/Porto-Novo | populated place | |||
| 2393070 | Kpali | BJ | Donga | 9.64078 | 1.80583 | 0 | Africa/Porto-Novo | populated place | |||
| 2394270 | Gando | BJ | Donga | 9.39955 | 1.48799 | 0 | Africa/Porto-Novo | populated place | |||
| 2395599 | Anandana | Anandana | BJ | Donga | Copargo | 9.94779 | 1.39159 | 0 | Africa/Porto-Novo | populated place | |
| 2395216 | Bédo | BJ | Atakora | 11.52435 | 3.07512 | 0 | Africa/Porto-Novo | populated place | |||
| 2394138 | Gbétébou | BJ | Borgou | 9.19749 | 2.4373 | 0 | Africa/Porto-Novo | populated place | |||
| 2391957 | Sanimba | Sanimba,Saninba | BJ | Alibori | 10.95871 | 3.74869 | 0 | Africa/Porto-Novo | populated place | ||
| 2391346 | Tchoumi-Tchoumi | Tcheumi-Tchoumi,Tchoumi-Tchoumi | BJ | Atakora | Natitingou | 10.08504 | 1.38011 | 0 | Africa/Porto-Novo | populated place | |
| 2394906 | Boulassaro | BJ | Borgou | 10.39654 | 2.42411 | 0 | Africa/Porto-Novo | populated place | |||
| 2394008 | Gougougon | BJ | Zou | 7.38333 | 1.78333 | 0 | Africa/Porto-Novo | populated place | |||
| 2392107 | Pobinson | BJ | Alibori | 11.54306 | 2.68615 | 0 | Africa/Porto-Novo | populated place | |||
| 2391704 | Soammborékou | BJ | Atakora | 10.19186 | 1.95654 | 0 | Africa/Porto-Novo | populated place | |||
| 2391217 | Tindji Assanline | Tindji,Tindji Assanline | BJ | Zou | 7.24685 | 2.11699 | 0 | Africa/Porto-Novo | populated place | ||
| 2392824 | Mammi | Mammi,Miami | BJ | Donga | 9.55373 | 1.50892 | 0 | Africa/Porto-Novo | populated place | ||
| 2393277 | Koubénébéné | BJ | Donga | 9.8996 | 1.37948 | 0 | Africa/Porto-Novo | populated place | |||
| 2393700 | Kanaoun | Kanaoun,Kanau,Kanaun,Kanoun | BJ | Collines | 7.99329 | 1.65281 | 0 | Africa/Porto-Novo | populated place | ||
| 2392646 | Nalou | BJ | Borgou | 9.93145 | 2.89642 | 0 | Africa/Porto-Novo | populated place | |||
| 2395774 | Agohoué-Balimé | Agohoue-Balime,Agohoué-Balimé,Agokoue,Agokoué | BJ | Kouffo | 6.79796 | 1.6465 | 0 | Africa/Porto-Novo | populated place | ||
| 2395549 | Arouna | BJ | Alibori | 11.29984 | 2.93748 | 0 | Africa/Porto-Novo | populated place | |||
| 2394755 | Dangoussar | BJ | Donga | 9.67937 | 1.54911 | 0 | Africa/Porto-Novo | populated place | |||
| 2392290 | Oulouoni | BJ | Atakora | 10.31667 | 0.93333 | 0 | Africa/Porto-Novo | populated place | |||
| 2391939 | Sanson | Sanson | BJ | Borgou | Commune of Tchaourou | 9.2754 | 2.42521 | 0 | Africa/Porto-Novo | populated place | |
| 2391580 | Soué | BJ | Borgou | 10.3079 | 2.4239 | 0 | Africa/Porto-Novo | populated place | |||
| 2393943 | Guéguézogon | BJ | Zou | 7.17195 | 1.94461 | 0 | Africa/Porto-Novo | populated place | |||
| 2391238 | Tieuélra | BJ | Donga | 9.66667 | 1.65 | 0 | Africa/Porto-Novo | populated place | |||
| 2392345 | Oudarou | BJ | Borgou | 9.25957 | 2.59152 | 0 | Africa/Porto-Novo | populated place | |||
| 2394778 | Dakpla | Dakpla,Sahoue Dakpla,Sahoué Dakpla | BJ | Mono | 6.55 | 1.9 | 0 | Africa/Porto-Novo | populated place | ||
| 2391951 | Sankourou | BJ | Donga | 9.85592 | 1.77862 | 0 | Africa/Porto-Novo | populated place | |||
| 2394026 | Goua | Goua,Goue,Goué,Gue | BJ | Borgou | 9.98352 | 2.83303 | 0 | Africa/Porto-Novo | populated place | ||
| 2391348 | Tchoukoang | BJ | Atakora | 10.83334 | 0.92615 | 0 | Africa/Porto-Novo | populated place | |||
| 2395273 | Baro | BJ | Borgou | 10.11028 | 2.34442 | 0 | Africa/Porto-Novo | populated place | |||
| 2391668 | Sokouméno | Sokoumeno,Sokouméno | BJ | Borgou | 9.27934 | 2.60859 | 0 | Africa/Porto-Novo | populated place | ||
| 2395151 | Berhou | BJ | Donga | 9.5909 | 1.51964 | 0 | Africa/Porto-Novo | populated place | |||
| 2392694 | Mouarka | BJ | Atakora | 10.62769 | 1.05734 | 0 | Africa/Porto-Novo | populated place | |||
| 2391070 | Toukomindi | BJ | Atakora | 10.30785 | 0.95925 | 0 | Africa/Porto-Novo | populated place | |||
| 2392930 | Léro | BJ | Collines | 8.30665 | 1.82541 | 0 | Africa/Porto-Novo | populated place | |||
| 2393939 | Guéma | BJ | Borgou | 10.40498 | 3.14962 | 0 | Africa/Porto-Novo | populated place | |||
| 2394815 | Coussé | Cousse,Coussi,Coussé | BJ | Atlantique | 6.85255 | 2.14203 | 0 | Africa/Porto-Novo | populated place | ||
| 2393462 | Kogbitokoé | BJ | Kouffo | 7.21154 | 1.77237 | 0 | Africa/Porto-Novo | populated place | |||
| 11551141 | Seme Kpodji | BJ | Ouémé | Seme-Kpodji | 6.36667 | 2.61667 | 0 | Africa/Porto-Novo | populated place | ||
| 2393268 | Koubouré | BJ | Borgou | 9.84646 | 2.94393 | 0 | Africa/Porto-Novo | populated place | |||
| 2395735 | Aguidahoué | BJ | Mono | 6.68778 | 1.64527 | 0 | Africa/Porto-Novo | populated place | |||
| 2391474 | Tandji | BJ | Zou | 7.31667 | 1.78333 | 0 | Africa/Porto-Novo | populated place | |||
| 2395387 | Baka | BJ | Borgou | 9.78389 | 3.26509 | 0 | Africa/Porto-Novo | populated place | |||
| 2391046 | Tountarougando | BJ | Borgou | 9.80636 | 3.24095 | 0 | Africa/Porto-Novo | populated place | |||
| 2393671 | Kankoulrha-Beussènnrha | Kankoulrha-Beussennrha,Kankoulrha-Beussènnrha,Koubenebene,Koubénébéné | BJ | Donga | 9.98318 | 1.45399 | 0 | Africa/Porto-Novo | populated place | ||
| 2394212 | Gatakpal | Gatakpal | BJ | Donga | 9.2528 | 1.56808 | 0 | Africa/Porto-Novo | populated place | ||
| 2392757 | Meundostiouri | BJ | Donga | 9.71667 | 1.65 | 0 | Africa/Porto-Novo | populated place | |||
| 2395445 | Azokangoudo | BJ | Collines | 8.01492 | 1.91309 | 0 | Africa/Porto-Novo | populated place | |||
| 2393153 | Kouporgou | BJ | Atakora | 10.26373 | 1.12796 | 0 | Africa/Porto-Novo | populated place | |||
| 2394856 | Bouyabourou | BJ | Borgou | 10.23029 | 2.88643 | 0 | Africa/Porto-Novo | populated place | |||
| 2392812 | Mansaré | BJ | Atakora | 10.49827 | 0.83639 | 0 | Africa/Porto-Novo | populated place | |||
| 2392911 | Lissè-Sokodomè | BJ | Zou | 7.2 | 2.1 | 0 | Africa/Porto-Novo | populated place | |||
| 2393998 | Goumbiyako | BJ | Donga | 9.4798 | 1.83416 | 0 | Africa/Porto-Novo | populated place | |||
| 2393952 | Goutoungadoni | BJ | Donga | 9.27133 | 1.50211 | 0 | Africa/Porto-Novo | populated place | |||
| 2393190 | Koumpené | BJ | Donga | 9.52111 | 1.50732 | 0 | Africa/Porto-Novo | populated place | |||
| 2393385 | Kondéga-Déréporga | BJ | Atakora | 10.76031 | 0.92343 | 0 | Africa/Porto-Novo | populated place | |||
| 2390959 | Warayélenga | BJ | Donga | 9.58557 | 1.6786 | 0 | Africa/Porto-Novo | populated place | |||
| 2394185 | Gbassara | BJ | Alibori | 11.17405 | 2.22421 | 0 | Africa/Porto-Novo | populated place | |||
| 2395684 | Akoumokoumo | Akoumokoumo | BJ | Collines | 8.10251 | 1.6793 | 0 | Africa/Porto-Novo | populated place | ||
| 2395656 | Alafiarou | BJ | Borgou | 9.39898 | 2.68908 | 0 | Africa/Porto-Novo | populated place | |||
| 2394267 | Gando | BJ | Borgou | 10.20563 | 2.44669 | 0 | Africa/Porto-Novo | populated place |
Benin: Tracing the Territorial Pulse of a Nation in Transition
A Geography Rooted in Legacy and Orientation
Benin is a country whose geography speaks with quiet authority. It stretches vertically from the Atlantic coastline to the Sahelian fringes, threading together lagoons, savannas, wetlands, and plateaus into a coherent yet deeply textured territorial fabric. For geographers, Benin is a study in vertical alignment—not just in physical geography, but also in human organization, infrastructure corridors, and administrative layering.
To bring clarity to this structure, I have developed a precise **city-level dataset for Benin**, where each locality is linked to its **region and department**, and supported by **latitude and longitude coordinates**. The dataset is available in five formats—**Excel (.xlsx)**, **CSV**, **SQL**, **JSON**, and **XML**—with **Excel** now playing a central role for planners and researchers who value speed, clarity, and accessibility without the need for complex tools.
Cotonou, Porto-Novo, and the Duality of Power
Cotonou is the economic capital—the port, the pulse, the urban sprawl. Yet Porto-Novo remains the political capital, a quieter node of heritage and statehood. This spatial duality is central to understanding Benin. Unlike monocentric nations, Benin’s urban dynamics are distributed. Parakou anchors the north; Abomey, Bohicon, and Djougou bring cultural, historical, and logistical weight to the center.
Each city operates within a system of **12 departments**, subdivided into **communes and arrondissements**, a structure that shapes everything from school catchment areas to electoral districts. This dataset captures that logic. Every urban entry is tied to its **administrative parent**, allowing for data integration that mirrors **how Benin governs space**.
Excel as a Spatial Equalizer
While developers may lean on SQL or JSON, and GIS experts work with shapefiles and scripts, **Excel (.xlsx)** opens up Benin’s geography to a much wider audience. From municipal officers in Dassa-Zoumè to international NGOs in Natitingou, Excel makes geographic data **readable, sortable, and immediately actionable**.
With Excel, users can filter cities by department, isolate coastal versus inland settlements, map service delivery gaps, or rank towns by location proximity to road or water networks—all in minutes. It’s not just a file format; **it’s a functional bridge between complexity and clarity**.
The Importance of Granularity in National Planning
In Benin, regional disparities are sharp—not only in economic terms, but in environmental, demographic, and infrastructural dimensions. Southern departments like Atlantique and Littoral are dense, paved, and globally connected. The northern departments—Alibori, Atacora—are expansive, climatically drier, and less urbanized, but no less strategic.
That’s why **granular data** is essential. A town in Mono may serve as a flood-risk site, while a commune in Borgou may be a critical node in cross-border trade. This dataset offers **exact geographic coordinates** for each city, placing it firmly within its administrative region—**ready for modeling, fieldwork, or strategic planning**.
Geography That Reflects the Real Structure of the Country
Too often, maps of Benin reduce the country to a narrow strip with a few bold dots. But the real story is in the subtleties: how towns interact with departments, how regional flows shape markets and migration, how the national road network ties together agriculture, education, and commerce.
This dataset honors those subtleties. And with **Excel now fully integrated**, users can build out their own questions, test assumptions, and visualize patterns that standard atlases overlook. Whether you're modeling access to clinics in Collines or studying linguistic zones in Zou, the **data is clean, contextualized, and ready to work**.
Seeing Benin Not as a Map, But as a System
Benin is more than a geographic passage between West African giants. It’s a **cohesive, administratively articulated space**, where cities do not float in isolation but function within a structure that is deeply embedded in everyday life and national development goals.
This dataset reflects that. It offers a **city-by-city view of Benin's geography**, embedded in region, refined by department, and exportable in formats for any use case. Excel brings that vision within reach—simple to use, infinitely adaptable, and powerful enough to support real planning and real outcomes.
Geography in Benin is not about scale—it’s about **structure**. And now, that structure is accessible in the format where most real-world work gets done.
