Republic of the Congo 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 Republic of the Congo, 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 5776 geographic locations across Republic of the Congo.
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 Republic of the Congo is Brazzaville.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2260841 | Bissongo | Bisongo,Bissongo | CG | Pointe-Noire | -4.78139 | 11.88972 | 0 | Africa/Brazzaville | populated place | ||
| 2568395 | Elonzi | CG | Cuvette | -1.18056 | 16.33111 | 0 | Africa/Brazzaville | populated place | |||
| 2257906 | Makaya | CG | Brazzaville | -4.43472 | 15.1025 | 0 | Africa/Brazzaville | populated place | |||
| 2255911 | Oboko | CG | Cuvette-Ouest | -0.88333 | 14.75278 | 0 | Africa/Brazzaville | populated place | |||
| 2258622 | LĂ©baye | Lebay,Lebaye,Lebayi,LĂ©bay,LĂ©baye | CG | Cuvette-Ouest | 0.02361 | 14.31278 | 0 | Africa/Brazzaville | populated place | ||
| 2569347 | Ngouma | CG | LĂ©koumou | -2.56139 | 13.57972 | 0 | Africa/Brazzaville | populated place | |||
| 2566329 | Mouvimba | CG | Pool | -4.07111 | 14.56028 | 0 | Africa/Brazzaville | populated place | |||
| 2256188 | Niandji | CG | Kouilou | -4.82389 | 11.94722 | 0 | Africa/Brazzaville | populated place | |||
| 2259471 | Kabo | CG | Sangha | 2.03056 | 16.08194 | 0 | Africa/Brazzaville | populated place | |||
| 2259934 | Ganbié | Gambie,Gambié,Ganbie,Ganbié | CG | Plateaux | -2.43861 | 14.44667 | 0 | Africa/Brazzaville | populated place | ||
| 2567021 | Pilikondi | CG | Kouilou | -4.4425 | 12.21111 | 0 | Africa/Brazzaville | populated place | |||
| 2257826 | Malonga | CG | Pool | -3.85222 | 15.02333 | 0 | Africa/Brazzaville | populated place | |||
| 2256978 | Molingé-Nzalatoa | Molangui-Zalatoi,Molinge-Nzalatoa,Molingé-Nzalatoa | CG | Sangha | 0.36639 | 16.50833 | 0 | Africa/Brazzaville | populated place | ||
| 2254972 | Vaga | CG | Cuvette | -1.17972 | 14.58889 | 0 | Africa/Brazzaville | populated place | |||
| 2569459 | Ngongo | CG | Niari | -2.63639 | 11.64333 | 0 | Africa/Brazzaville | populated place | |||
| 2256549 | Mpasitolo | CG | Pool | -3.65972 | 14.61778 | 0 | Africa/Brazzaville | populated place | |||
| 2255342 | Sako | CG | Plateaux | -2.48333 | 16.11667 | 0 | Africa/Brazzaville | populated place | |||
| 2569191 | Etzouésé | CG | Plateaux | -2.51 | 15.01472 | 0 | Africa/Brazzaville | populated place | |||
| 2569705 | Moa | CG | Plateaux | -1.84389 | 15.40917 | 0 | Africa/Brazzaville | populated place | |||
| 2257423 | Mbého | CG | Pool | -4.48556 | 14.72389 | 0 | Africa/Brazzaville | populated place | |||
| 2256182 | Nianga | CG | Niari | -2.94583 | 12.65556 | 0 | Africa/Brazzaville | populated place | |||
| 2258979 | Kinnkanda | Kinkanda,Kinnkanda | CG | Pool | -4.68778 | 14.64944 | 0 | Africa/Brazzaville | populated place | ||
| 2568369 | Ekongo | CG | Cuvette | -1.08222 | 16.04 | 0 | Africa/Brazzaville | populated place | |||
| 2569684 | Okélé | CG | Plateaux | -1.24194 | 15.59806 | 0 | Africa/Brazzaville | populated place | |||
| 2255066 | Tomba | CG | Kouilou | -4.41667 | 12.4 | 0 | Africa/Brazzaville | populated place | |||
| 2256271 | Ngombé | CG | Cuvette | -0.8575 | 17.18861 | 0 | Africa/Brazzaville | populated place | |||
| 2260001 | Moubotsi | Favre,Louvila,Moubotsi,Moumbotsi | CG | Bouenza | -4.11556 | 12.82556 | 0 | Africa/Brazzaville | populated place | ||
| 2254827 | Youngou | CG | Kouilou | -4.26472 | 11.51361 | 0 | Africa/Brazzaville | populated place | |||
| 2568586 | Kengué | Bouyala,Kengue,Kengué | CG | Lékoumou | -3.12639 | 13.86972 | 0 | Africa/Brazzaville | populated place | ||
| 2565897 | Etoumbi | CG | Cuvette-Ouest | 0.49444 | 14.67917 | 0 | Africa/Brazzaville | populated place | |||
| 2261213 | Asengé | Asenge,Asengé,Assengue,Assengué | CG | Plateaux | -1.02028 | 15.39972 | 0 | Africa/Brazzaville | populated place | ||
| 2258947 | Kinnsoundi | Kinnsoundi,Kinsoundi | CG | Pool | -4.05528 | 14.47917 | 0 | Africa/Brazzaville | populated place | ||
| 2259203 | Kimanza | Kimandza,Kimanza | CG | Bouenza | -4.08528 | 12.93 | 0 | Africa/Brazzaville | populated place | ||
| 2255746 | Oloua | CG | Cuvette-Ouest | -0.25 | 14.65 | 0 | Africa/Brazzaville | populated place | |||
| 2569032 | Omoy | CG | Niari | -3.15361 | 12.99167 | 0 | Africa/Brazzaville | populated place | |||
| 2568971 | Nkolbota | CG | Niari | -3.42972 | 12.39056 | 0 | Africa/Brazzaville | populated place | |||
| 2255434 | Piémé | CG | Pool | -4.18694 | 14.36 | 0 | Africa/Brazzaville | populated place | |||
| 2261103 | Bambembe | CG | Bouenza | -4.10306 | 13.98 | 0 | Africa/Brazzaville | populated place | |||
| 2259062 | Kindongo II | CG | Pool | -3.46667 | 15.35 | 0 | Africa/Brazzaville | populated place | |||
| 2258900 | Kipanda II | CG | Niari | -4.73361 | 13.30861 | 0 | Africa/Brazzaville | populated place | |||
| 2259073 | Kindanba | CG | Pool | -4.28333 | 14.4 | 0 | Africa/Brazzaville | populated place | |||
| 2258039 | Mabaya | M. Nkoye,Mabaya | CG | Brazzaville | -4.33111 | 15.06528 | 0 | Africa/Brazzaville | populated place | ||
| 2567421 | Koundi | Koendi,Koundi | CG | Kouilou | -4.33722 | 11.69861 | 0 | Africa/Brazzaville | populated place | ||
| 2260428 | Kindingandoki | Dingandoki,Kindingandoki | CG | Niari | -3.40528 | 12.21611 | 0 | Africa/Brazzaville | populated place | ||
| 2569589 | Ngobana | CG | Plateaux | -1.94833 | 15.87472 | 0 | Africa/Brazzaville | populated place | |||
| 2257440 | Mbanza Nganga | CG | Pool | -4.59 | 14.42306 | 0 | Africa/Brazzaville | populated place | |||
| 2567885 | Inga | CG | Pool | -3.47694 | 15.49556 | 0 | Africa/Brazzaville | populated place | |||
| 2566321 | Ndamba | CG | Pool | -4.02611 | 14.58472 | 0 | Africa/Brazzaville | populated place | |||
| 2568796 | Kiaba | CG | LĂ©koumou | -3.23 | 13.13222 | 0 | Africa/Brazzaville | populated place | |||
| 2569385 | Boniala | CG | Cuvette | -1.48 | 16.55028 | 0 | Africa/Brazzaville | populated place | |||
| 2567036 | Tchitanga | CG | Kouilou | -4.51667 | 12.035 | 0 | Africa/Brazzaville | populated place | |||
| 2259371 | Kebouli | CG | Cuvette-Ouest | -0.825 | 14.64417 | 0 | Africa/Brazzaville | populated place | |||
| 2255080 | Tionzo | Kionzo,Tionzo | CG | Kouilou | -4.00583 | 11.735 | 0 | Africa/Brazzaville | populated place | ||
| 2255739 | Ombélé | CG | Cuvette | -0.41278 | 15.88333 | 0 | Africa/Brazzaville | populated place | |||
| 2257488 | Mbaamba | CG | Bouenza | -4.22944 | 13.78222 | 0 | Africa/Brazzaville | populated place | |||
| 2565551 | Bokalé | CG | Likouala | 1.1825 | 17.38778 | 0 | Africa/Brazzaville | populated place | |||
| 2260165 | Ekassa | Ekasa,Ekassa | CG | Plateaux | -1.48056 | 15.81722 | 0 | Africa/Brazzaville | populated place | ||
| 2257262 | Mfoua | M’Foa,Mfoua,M’Foa | CG | Plateaux | -2.3225 | 14.60278 | 0 | Africa/Brazzaville | populated place | ||
| 2256242 | Ngouangala | CG | Sangha | 1.9275 | 15.67361 | 0 | Africa/Brazzaville | populated place | |||
| 2260174 | Eko | Ekaga,Eko | CG | Plateaux | -1.28389 | 15.44556 | 0 | Africa/Brazzaville | populated place | ||
| 2260704 | Boua-Boua | CG | Bouenza | -4.52472 | 13.50194 | 0 | Africa/Brazzaville | populated place | |||
| 2257638 | Maségé | CG | Niari | -2.70083 | 12.66972 | 0 | Africa/Brazzaville | populated place | |||
| 2568350 | Ngélé Okasa | CG | Plateaux | -1.44333 | 16.0875 | 0 | Africa/Brazzaville | populated place | |||
| 2255281 | Sikama-Kamba | CG | Kouilou | -4.23333 | 12.06667 | 0 | Africa/Brazzaville | populated place | |||
| 2568953 | Petit Bois | CG | Niari | -3.60444 | 12.0775 | 0 | Africa/Brazzaville | populated place | |||
| 2257498 | Mazi | CG | Pool | -4.4925 | 14.595 | 0 | Africa/Brazzaville | populated place | |||
| 2254861 | Yloumata | CG | Kouilou | -4.33333 | 12.41667 | 0 | Africa/Brazzaville | populated place | |||
| 2568194 | Omboye | CG | Cuvette-Ouest | -0.27389 | 14.26667 | 0 | Africa/Brazzaville | populated place | |||
| 2569861 | Moukouanya I | Moukouagna I,Moukouanya I | CG | Niari | -1.84333 | 12.66806 | 0 | Africa/Brazzaville | populated place | ||
| 2256121 | Nkoki | CG | Pool | -4.67444 | 14.53889 | 0 | Africa/Brazzaville | populated place | |||
| 2569673 | Otali | CG | Plateaux | -1.22944 | 15.79111 | 0 | Africa/Brazzaville | populated place | |||
| 2255672 | Onsi | CG | Plateaux | -1.765 | 16.04972 | 0 | Africa/Brazzaville | populated place | |||
| 2257417 | Mbemba | CG | Pool | -3.80139 | 14.44778 | 0 | Africa/Brazzaville | populated place | |||
| 2566865 | Moukoulou | CG | Niari | -4.29528 | 12.78028 | 0 | Africa/Brazzaville | populated place | |||
| 2256069 | Nsa | Nsa,Nsah | CG | Plateaux | -2.35056 | 15.33472 | 0 | Africa/Brazzaville | populated place | ||
| 2569401 | Linyanga | CG | Cuvette | -1.05972 | 16.77944 | 0 | Africa/Brazzaville | populated place | |||
| 2257454 | Mbanba I | CG | Pool | -3.45417 | 14.41472 | 0 | Africa/Brazzaville | populated place | |||
| 2565665 | MĂ©kam | CG | Sangha | 1.45333 | 14.16861 | 0 | Africa/Brazzaville | populated place | |||
| 2258424 | Likounda | CG | Likouala | 0.73361 | 17.13444 | 0 | Africa/Brazzaville | populated place | |||
| 2566130 | Soukou | CG | Pool | -4.61444 | 14.92417 | 0 | Africa/Brazzaville | populated place | |||
| 2566745 | Ganda | CG | Pool | -4.40444 | 14.05806 | 0 | Africa/Brazzaville | populated place | |||
| 2256145 | Nkan | CG | Plateaux | -2.08556 | 15.87694 | 0 | Africa/Brazzaville | populated place | |||
| 2565789 | Doua | CG | Cuvette | 0.22556 | 15.52417 | 0 | Africa/Brazzaville | populated place | |||
| 2566200 | Kissénguélé | CG | Pool | -4.38556 | 14.74389 | 0 | Africa/Brazzaville | populated place | |||
| 2261165 | Batékok | Badekok,Batekok,Batékok | CG | Sangha | 1.60722 | 14.76 | 0 | Africa/Brazzaville | populated place | ||
| 2260481 | Dandi | Badinga,Dandi | CG | Niari | -3.13333 | 12.73333 | 0 | Africa/Brazzaville | populated place | ||
| 2260645 | Boukondjo | CG | Pool | -4.08333 | 15 | 0 | Africa/Brazzaville | populated place | |||
| 2569763 | Balanganba | CG | Plateaux | -1.46278 | 15.56361 | 0 | Africa/Brazzaville | populated place | |||
| 2255201 | Tandou | CG | Kouilou | -4.52472 | 12.12028 | 0 | Africa/Brazzaville | populated place | |||
| 2566032 | Kimpanzou | CG | Brazzaville | -4.19139 | 15.19361 | 0 | Africa/Brazzaville | populated place | |||
| 2568384 | Ingondo | CG | Cuvette | -1.14889 | 16.21833 | 0 | Africa/Brazzaville | populated place | |||
| 2258422 | Likouakoua | Likouakoua,Likwakwa | CG | Pool | -4.66667 | 14.59917 | 0 | Africa/Brazzaville | populated place | ||
| 2259281 | Kibounda | CG | Bouenza | -4.16944 | 13.49222 | 0 | Africa/Brazzaville | populated place | |||
| 2261260 | Angama | Angama | CG | Niari | -2.4 | 12.5 | 0 | Africa/Brazzaville | populated place | ||
| 2259848 | Gondzo | CG | Niari | -3.45 | 12.08333 | 0 | Africa/Brazzaville | populated place | |||
| 2256986 | Mokouangounda | CG | Sangha | 0.81667 | 15.51667 | 0 | Africa/Brazzaville | populated place | |||
| 2568594 | Makagadzoumou | CG | LĂ©koumou | -3.19361 | 13.81444 | 0 | Africa/Brazzaville | populated place | |||
| 2260011 | Etsouali | Etsouali | CG | Plateaux | -2.85667 | 15.55861 | 0 | Africa/Brazzaville | populated place | ||
| 2569374 | Bobongo | CG | Cuvette | -1.17806 | 16.57667 | 0 | Africa/Brazzaville | populated place | |||
| 2565668 | Bèllevue | CG | Sangha | 1.58 | 14.44722 | 0 | Africa/Brazzaville | populated place |
Republic of the Congo: Navigating the Geographic Fabric of Central Africa
A Landscape of Dense Forests, Rivers, and Growing Urban Centers
The Republic of the Congo, often overshadowed by its larger neighbors, offers a fascinating geographic tapestry marked by vast tropical rainforests, the mighty Congo River, and a network of evolving cities and towns. This central African nation’s physical environment profoundly influences settlement patterns, economic activities, and administrative organization. For geographers, the Republic of the Congo presents a compelling challenge: to map and analyze a country where natural features and human systems intertwine deeply.
To fully understand this spatial complexity, detailed, structured data is necessary—linking every city and town to their official regions and departments, supported by precise latitude and longitude coordinates.
Administrative Divisions: Regions and Departments
The Republic of the Congo is divided into twelve departments, which are further subdivided into districts and communes. This multi-tiered administrative structure plays a crucial role in governance, resource allocation, and regional development. Each urban and rural settlement fits within this hierarchy, shaping the socio-economic landscape of the nation.
The dataset I have curated accurately classifies all localities by their respective regions and departments, providing a coherent framework for spatial analysis and practical application.
Latitude and Longitude: Pinpointing Congo’s Diverse Settlements
Given the country’s dense forests and extensive river systems, accurate geographic coordinates are indispensable. The dataset includes verified latitude and longitude for every city and town, enabling seamless integration into Geographic Information Systems (GIS), environmental monitoring, and infrastructure planning.
Such precision turns names on a map into actionable data points, supporting logistics, development, and research.
Excel: Making Geographic Data User-Friendly
While the dataset is also offered in CSV, SQL, JSON, and XML formats, the inclusion of Excel (.xlsx) significantly boosts accessibility. Excel’s familiar and flexible interface empowers users—from government planners to academics—to filter, sort, and analyze complex spatial data without specialized software knowledge.
The Excel file features clear headers, consistent formatting, and logical organization, making it an efficient tool for immediate use.
What the Dataset Includes
* Complete listing of cities and towns in the Republic of the Congo
* Classification by region and department
* Verified latitude and longitude coordinates
* Available in Excel (.xlsx), CSV, SQL, JSON, and XML formats
Why the Republic of the Congo Needs Robust Geographic Data
As the Republic of the Congo confronts challenges of urbanization, environmental conservation, and economic diversification, reliable geographic data is essential. Precise spatial information underpins effective governance, sustainable development, and humanitarian efforts.
This dataset provides a vital foundation to address these challenges with accuracy and clarity.
Mapping the Republic of the Congo’s Living Geography
Beyond dense forests and flowing rivers lies a network of communities shaping the country’s future. Cities like Brazzaville, Pointe-Noire, and Dolisie stand at the heart of this evolving geography.
Through this dataset, especially with its user-friendly Excel format, the Republic of the Congo’s geography transforms from an abstract concept into a practical, powerful resource—ready to support informed planning and sustainable growth.
