Republic of the Congo cities list with latitude and longitude in Excel, CSV, SQL, XML, JSON formats
Last update : 22 January 2026.
This is the best list of 5776 cities in the Republic of the Congo available in 5 formats ( Excel, CSV, JSON, SQL, XML ). You will find only data associated with the cities of a country (capital, towns and villages). There is no information concerning the environment, such as the location of a river or a mountain, for example. All cities are associated with regions and sub-regions (where available).
Each file contains the following data: Geoname_ID, City, Alternate_Name, Country_Code, Region, Sub_region, Latitude, Longitude, Elevation, Population, Timezone, Fcode_Name. See the FAQ below for a detailed explanation.
Here is an example of the data from the Republic of the Congo file that you are going to retrieve. The data is displayed here in the form of a table:
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2261233 | Ankouandzion | CG | Lékoumou | -2.41667 | 13.6 | 0 | Africa/Brazzaville | populated place | |||
| 2256716 | Mounoko | CG | Pool | -3.40306 | 14.42361 | 0 | Africa/Brazzaville | populated place | |||
| 2569914 | Bisambi II | CG | Likouala | 2.52972 | 18.1725 | 0 | Africa/Brazzaville | populated place | |||
| 2568833 | Malouna | CG | Lékoumou | -3.015 | 13.29222 | 0 | Africa/Brazzaville | populated place | |||
| 2257632 | Masina | Masina,Massina | CG | Lékoumou | -3.06167 | 14.07472 | 0 | Africa/Brazzaville | populated place | ||
| 2258852 | Kitsoumbou | Kitsoumbo,Kitsoumbou | CG | Niari | -4.48694 | 13.09278 | 0 | Africa/Brazzaville | populated place | ||
| 2569645 | Ibinda | CG | Plateaux | -1.37778 | 15.84472 | 0 | Africa/Brazzaville | populated place | |||
| 2259124 | Kimpambou-Loukelo | CG | Bouenza | -4.16528 | 13.37528 | 0 | Africa/Brazzaville | populated place | |||
| 2256664 | Mousiengo | CG | Pool | -3.78806 | 14.38083 | 0 | Africa/Brazzaville | populated place | |||
| 2260378 | Djokoumatoumbi | Djobokatoumbie,Djobokatoumbié,Djokomatoumbi,Djokoumatombi,Djokoumatoumbi,Dzokomatoumbi | CG | Sangha | 0.77861 | 15.33889 | 0 | Africa/Brazzaville | populated place | ||
| 2569340 | Kinani | CG | Lékoumou | -2.99111 | 13.58972 | 0 | Africa/Brazzaville | populated place | |||
| 2569336 | Mandzoko | CG | Lékoumou | -2.87972 | 13.83778 | 0 | Africa/Brazzaville | populated place | |||
| 2256935 | Monco-Poukou | Moango,Monco-Poukou,Mongopoukou | CG | Kouilou | -4.71694 | 11.86694 | 0 | Africa/Brazzaville | populated place | ||
| 2258230 | Louengo | CG | Pool | -4.4425 | 14.8275 | 0 | Africa/Brazzaville | populated place | |||
| 2259684 | Imagna | Imagna,Imagno,Inagna | CG | Cuvette | -0.06667 | 15.96667 | 0 | Africa/Brazzaville | populated place | ||
| 2259056 | Kinndouta | Kindouta,Kinndouta | CG | Pool | -4.61194 | 14.82917 | 0 | Africa/Brazzaville | populated place | ||
| 2260196 | Edou | Edou | CG | Cuvette | -1.11444 | 15.9625 | 0 | Africa/Brazzaville | populated place | ||
| 2255642 | Osa | Osa,Ossao | CG | Plateaux | -1.41333 | 15.67944 | 0 | Africa/Brazzaville | populated place | ||
| 2260746 | Bomo II | Bomo II,Mbomo | CG | Bouenza | -4.03528 | 12.83333 | 0 | Africa/Brazzaville | populated place | ||
| 2259274 | Kidiba | CG | Lékoumou | -3.83111 | 13.32639 | 0 | Africa/Brazzaville | populated place | |||
| 2568514 | Mayoulou | CG | Bouenza | -3.73972 | 13.8225 | 0 | Africa/Brazzaville | populated place | |||
| 2260252 | Dzoumbou | CG | Pool | -3.89111 | 14.36833 | 0 | Africa/Brazzaville | populated place | |||
| 2255731 | Omoy | Omoi,Omoy,Omoï | CG | Lékoumou | -2.81333 | 13.91667 | 0 | Africa/Brazzaville | populated place | ||
| 2565888 | Makébé | CG | Cuvette-Ouest | 0.70694 | 14.555 | 0 | Africa/Brazzaville | populated place | |||
| 2261281 | Ancien Dola | CG | Kouilou | -4 | 12.05 | 0 | Africa/Brazzaville | populated place | |||
| 2259375 | Kébala | CG | Plateaux | -2.36444 | 14.54361 | 0 | Africa/Brazzaville | populated place | |||
| 2257475 | Mbali | CG | Cuvette | -0.35944 | 15.78139 | 0 | Africa/Brazzaville | populated place | |||
| 2568410 | Sainte Radegonde | CG | Cuvette | -1.18222 | 16.02056 | 0 | Africa/Brazzaville | populated place | |||
| 2255001 | Tsiélelé | CG | Niari | -3.15722 | 12.93028 | 0 | Africa/Brazzaville | populated place | |||
| 2256599 | Mouyala | CG | Niari | -2.695 | 12.60444 | 0 | Africa/Brazzaville | populated place | |||
| 2259245 | Kikièmou | CG | Bouenza | -4.10639 | 13.52472 | 0 | Africa/Brazzaville | populated place | |||
| 2567016 | Nzombo | CG | Kouilou | -4.25833 | 12.49944 | 0 | Africa/Brazzaville | populated place | |||
| 2260710 | Botongo | Botango,Botongo,Botoungo,Gatongo,Mongoudou | CG | Likouala | 0.85611 | 17.10222 | 0 | Africa/Brazzaville | populated place | ||
| 2568910 | Boungou | CG | Bouenza | -3.84111 | 12.78944 | 0 | Africa/Brazzaville | populated place | |||
| 2569326 | Moutamba | Moutamba | CG | Niari | -2.97111 | 12.59917 | 0 | Africa/Brazzaville | populated place | ||
| 2260558 | Boutazab | Boutanzab,Boutazab | CG | Sangha | 1.83639 | 14.21806 | 0 | Africa/Brazzaville | populated place | ||
| 2255682 | Ondingi | Ondingi,Oningui | CG | Cuvette | -1.12972 | 15.17528 | 0 | Africa/Brazzaville | populated place | ||
| 2255878 | Ozala | Odzala,Ozala | CG | Cuvette | 0.27806 | 15.74278 | 0 | Africa/Brazzaville | populated place | ||
| 2569935 | Bangi | CG | Likouala | 2.32583 | 17.99861 | 0 | Africa/Brazzaville | populated place | |||
| 2256494 | Mvillila | CG | Kouilou | -4.08333 | 12.36667 | 0 | Africa/Brazzaville | populated place | |||
| 2255686 | Onguinda | Onguida,Onguido,Onguinda | CG | Cuvette | -0.60639 | 15.74083 | 0 | Africa/Brazzaville | populated place | ||
| 2256257 | Condji | Condji,N’Gondzi,Ngondzi,N’Gondzi | CG | Kouilou | -4.72417 | 11.96139 | 0 | Africa/Brazzaville | populated place | ||
| 2565654 | Soukou | CG | Sangha | 1.61778 | 14.72028 | 0 | Africa/Brazzaville | populated place | |||
| 2255024 | Tsampoko | CG | Plateaux | -1.80139 | 16.14472 | 0 | Africa/Brazzaville | populated place | |||
| 2258257 | Louboukou | CG | Brazzaville | -4.05972 | 15.33167 | 0 | Africa/Brazzaville | populated place | |||
| 2256508 | Mpouo | CG | Pool | -3.47583 | 14.36972 | 0 | Africa/Brazzaville | populated place | |||
| 2260768 | Bola | CG | Sangha | 1.73306 | 14.61667 | 0 | Africa/Brazzaville | populated place | |||
| 2259474 | Kabaniama | Kabaniama,Kabaniama II | CG | Cuvette-Ouest | -0.21889 | 14.34333 | 0 | Africa/Brazzaville | populated place | ||
| 2260000 | Fia | Fia,M’Fia,M’Fia | CG | Pool | -3.43083 | 14.8325 | 0 | Africa/Brazzaville | populated place | ||
| 2260725 | Mbonza | Bonza,Mbonza | CG | Pool | -4.55667 | 14.9675 | 0 | Africa/Brazzaville | populated place | ||
| 2260967 | Bemba-Loisa | CG | Pool | -3.38333 | 14.46667 | 0 | Africa/Brazzaville | populated place | |||
| 2258912 | Kinziété | Kinnziete,Kinnziété,Kinzieta,Kinziete,Kinziété | CG | Niari | -4.50528 | 12.975 | 0 | Africa/Brazzaville | populated place | ||
| 2568590 | Masina | CG | Lékoumou | -3.18056 | 13.83278 | 0 | Africa/Brazzaville | populated place | |||
| 2256610 | Moutsila | CG | Pool | -4.43417 | 14.65333 | 0 | Africa/Brazzaville | populated place | |||
| 2567401 | Bimbakassa | CG | Kouilou | -4.58583 | 11.94528 | 0 | Africa/Brazzaville | populated place | |||
| 2261122 | Bam | CG | Sangha | 2.08333 | 14.05 | 0 | Africa/Brazzaville | populated place | |||
| 2257246 | Mibouri Mountoubouna | CG | Pool | -3.63083 | 14.68722 | 0 | Africa/Brazzaville | populated place | |||
| 2568388 | Bokwélé | CG | Cuvette | -1.03667 | 16.3175 | 0 | Africa/Brazzaville | populated place | |||
| 2261060 | Mbanga | Banga,Mbanga | CG | Kouilou | -4.88806 | 12.03222 | 0 | Africa/Brazzaville | populated place | ||
| 2566313 | Bitobianoka | CG | Pool | -4.19472 | 14.63583 | 0 | Africa/Brazzaville | populated place | |||
| 2258954 | Kinnsélé | Kinnsele,Kinnsélé,Kinsele,Kinsélé | CG | Pool | -4.51722 | 14.68611 | 0 | Africa/Brazzaville | populated place | ||
| 2257116 | Misimba | Misimba,Missimba | CG | Niari | -2.08194 | 12.74833 | 0 | Africa/Brazzaville | populated place | ||
| 2255236 | Soukou-Bouadi | CG | Bouenza | -4.50417 | 13.38583 | 0 | Africa/Brazzaville | populated place | |||
| 2568758 | Manda I | CG | Lékoumou | -3.4775 | 13.42583 | 0 | Africa/Brazzaville | populated place | |||
| 2257863 | Malanta | CG | Brazzaville | -4.235 | 15.11583 | 0 | Africa/Brazzaville | populated place | |||
| 2255562 | Ouesso-Moke | CG | Sangha | 2 | 14.96667 | 0 | Africa/Brazzaville | populated place | |||
| 2255719 | Onanga | CG | Cuvette | 0.06333 | 15.55833 | 0 | Africa/Brazzaville | populated place | |||
| 2565867 | Makamou | CG | Cuvette-Ouest | 0.34861 | 14.79361 | 0 | Africa/Brazzaville | populated place | |||
| 2257098 | Missongo | Misongo,Missongo | CG | Likouala | -0.40639 | 17.365 | 0 | Africa/Brazzaville | populated place | ||
| 2568136 | Mingali | CG | Pool | -3.19556 | 14.22806 | 0 | Africa/Brazzaville | populated place | |||
| 2259110 | Kimpolo | CG | Bouenza | -3.66583 | 14.21694 | 0 | Africa/Brazzaville | populated place | |||
| 2260311 | Douma | CG | Sangha | 1.57 | 15.21667 | 0 | Africa/Brazzaville | populated place | |||
| 2257744 | Mangandza | CG | Niari | -2.95917 | 12.59528 | 0 | Africa/Brazzaville | populated place | |||
| 2566347 | Moupou | CG | Pool | -4.05056 | 14.31361 | 0 | Africa/Brazzaville | populated place | |||
| 2258855 | Kitsindi | CG | Niari | -4.51 | 13.27306 | 0 | Africa/Brazzaville | populated place | |||
| 2256931 | Mongouma | CG | Likouala | 2.23222 | 18.08 | 0 | Africa/Brazzaville | populated place | |||
| 2569757 | Lima | CG | Plateaux | -1.37111 | 15.49083 | 0 | Africa/Brazzaville | populated place | |||
| 2259310 | Kibangou | Kibangou | CG | Kouilou | -4.16667 | 12.06667 | 0 | Africa/Brazzaville | populated place | ||
| 2260228 | Ebili | CG | Cuvette-Ouest | -1.07639 | 14.90806 | 0 | Africa/Brazzaville | populated place | |||
| 2257912 | Makana II | CG | Pool | -3.64806 | 14.64972 | 0 | Africa/Brazzaville | populated place | |||
| 2568402 | Etoumbi | CG | Cuvette | -1.18944 | 16.46694 | 0 | Africa/Brazzaville | populated place | |||
| 2260048 | Esasiba | CG | Pool | -3.24167 | 15.84639 | 0 | Africa/Brazzaville | populated place | |||
| 2257790 | Mampouya | CG | Brazzaville | -3.96778 | 15.32389 | 0 | Africa/Brazzaville | populated place | |||
| 2256324 | Kigandou | Kigandou,Ngandou | CG | Pool | -4.14611 | 14.68389 | 0 | Africa/Brazzaville | populated place | ||
| 2260102 | Olonga | Elounga,Olonga | CG | Cuvette-Ouest | -0.72639 | 14.71778 | 0 | Africa/Brazzaville | populated place | ||
| 2256729 | Mougongo | Mougongo,Moungoma | CG | Niari | -3.03083 | 12.69917 | 0 | Africa/Brazzaville | populated place | ||
| 2256177 | Niari | CG | Bouenza | -4.15722 | 14.15306 | 0 | Africa/Brazzaville | populated place | |||
| 2257148 | Mikèl | Mikel,Mikèl,Minkel | CG | Sangha | 1.68 | 14.58306 | 0 | Africa/Brazzaville | populated place | ||
| 2259950 | Nganba | Gambo,Nganba | CG | Plateaux | -1.47306 | 15.54361 | 0 | Africa/Brazzaville | populated place | ||
| 2255450 | Pemo | CG | Niari | -2.80389 | 11.88111 | 0 | Africa/Brazzaville | populated place | |||
| 2258195 | Loukanga | CG | Brazzaville | -4.3425 | 15.14333 | 0 | Africa/Brazzaville | populated place | |||
| 2568908 | Moudilou | CG | Bouenza | -3.83583 | 12.72472 | 0 | Africa/Brazzaville | populated place | |||
| 2259653 | Impfouba | CG | Pool | -3.33167 | 15.55694 | 0 | Africa/Brazzaville | populated place | |||
| 2566112 | Kinguélé | CG | Pool | -4.7925 | 14.6675 | 0 | Africa/Brazzaville | populated place | |||
| 2569487 | Osségué | CG | Cuvette | -1.37972 | 14.80778 | 0 | Africa/Brazzaville | populated place | |||
| 2568492 | Koso | CG | Bouenza | -3.92306 | 13.90889 | 0 | Africa/Brazzaville | populated place | |||
| 2255623 | Otala | Obala,Ota,Otala | CG | Cuvette | 0.14694 | 15.54389 | 0 | Africa/Brazzaville | populated place | ||
| 2566746 | Manda | CG | Bouenza | -4.13528 | 14.01639 | 0 | Africa/Brazzaville | populated place | |||
| 2568536 | Bambouyi | CG | Bouenza | -3.90528 | 13.64167 | 0 | Africa/Brazzaville | populated place | |||
| 2259252 | Kikanga | CG | Bouenza | -4.01361 | 13.65583 | 0 | Africa/Brazzaville | populated place |
Exploring the Geography of the Republic of the Congo
The Republic of the Congo, often overshadowed by its larger neighbor, the Democratic Republic of the Congo, offers a unique blend of natural beauty, historical significance, and strategic location in Central Africa. From its dense rainforests to its expansive river systems and coastal plains, the country presents a rich geographical landscape. A closer look at the geography of the Republic of the Congo, including its cities, regions, and the precise coordinates of its major urban areas, reveals how the natural environment has shaped the country’s urban development, culture, and economy. For a deeper understanding of the Republic of the Congo’s geographical landscape, obtaining accurate data about its cities and regions is essential.
Geography of the Republic of the Congo: A Diverse and Vital Landscape
Located on the western coast of Central Africa, the Republic of the Congo is bordered by Gabon to the west, Cameroon to the northwest, the Central African Republic to the north, and the Democratic Republic of the Congo to the east and south. The country’s diverse geography spans from the low-lying coastal plains along the Atlantic Ocean to the dense tropical rainforests and rugged plateaus in the interior.
The Congo River, one of the longest and most powerful rivers in the world, runs through the country and plays a central role in the Republic of the Congo’s geography. The river serves as both a vital transport route and a rich source of resources for local communities. Additionally, the country’s coastal area along the Atlantic Ocean provides it with strategic access to international trade and commerce, further enhancing its importance within the region.
While the Republic of the Congo’s geography includes significant biodiversity, it also faces challenges due to its vast forests, which cover more than half of the country. This dense vegetation limits the development of infrastructure in certain regions and complicates urban growth. Understanding these geographical constraints is key to planning for sustainable development in the country.
Regions and Cities of the Republic of the Congo: Urbanization Amidst Nature
The Republic of the Congo is divided into several administrative regions, each with its own unique geographical features and cultural identity. These regions include the coastal region of Kouilou, the rainforest-covered regions of Cuvette, and the more mountainous areas in the north and east. The country is also divided into departments, which play a role in managing local governance and regional administration.
The capital city, Brazzaville, is located along the Congo River in the southwestern part of the country. As the largest city and the economic center of the Republic of the Congo, Brazzaville is a vital hub for both national and international business. The city’s location along the Congo River allows for important trade and transportation links with neighboring countries, including the Democratic Republic of the Congo, which shares the river.
Other key cities in the Republic of the Congo include Pointe-Noire, located on the Atlantic coast, which serves as the country’s main port and industrial center. Pointe-Noire is essential for trade and commerce, particularly in oil exports, as the country is rich in petroleum reserves. Dolisie, in the southern part of the country, is another significant urban center, primarily known for its agriculture and regional importance.
Despite the challenges posed by the country’s geography, these cities have grown and adapted to their environments. Each city offers a unique glimpse into the way geography shapes urban development and economic activity within the Republic of the Congo.
Latitude and Longitude: Mapping the Cities of the Republic of the Congo
Geographical data such as latitude and longitude coordinates is vital for mapping out the cities and regions of the Republic of the Congo. By obtaining accurate data on the precise positioning of cities like Brazzaville, Pointe-Noire, and Dolisie, researchers and planners can better understand how these urban areas are connected to each other and to the surrounding natural landscapes.
For example, Brazzaville’s location along the Congo River gives it strategic importance for both trade and regional cooperation, especially with Kinshasa, the capital of the Democratic Republic of the Congo, located directly across the river. The proximity of these two cities to each other highlights the unique role of the river as both a natural border and a conduit for economic exchange.
Similarly, knowing the exact latitude and longitude of Pointe-Noire allows for an in-depth analysis of the city’s port infrastructure and its role as a key hub for the country’s oil exports. With access to such data, it becomes possible to analyze how geography influences trade routes, population distribution, and the availability of natural resources.
Unlocking Geospatial Data for the Republic of the Congo’s Development
The importance of accessing detailed geographical data on the Republic of the Congo’s cities, regions, and geographical coordinates cannot be overstated. A comprehensive database containing information on the country’s cities and their exact positions provides valuable insights for urban planners, researchers, and government officials working to understand the country’s developmental needs.
For example, obtaining the latitude and longitude of Brazzaville, Pointe-Noire, and other cities allows for more effective infrastructure planning and resource management. With this data, it is possible to assess the need for transportation networks, water supply systems, and the development of industries that can thrive in the country’s diverse geographical zones.
Geospatial data is also essential for environmental management, particularly in a country with vast natural resources and delicate ecosystems. By mapping the country’s cities and regions, planners can assess the potential impact of urbanization on surrounding forests, wetlands, and wildlife. This data can help identify areas that are at risk of environmental degradation and support the development of sustainable policies for preserving the country’s rich biodiversity.
Furthermore, geospatial data aids in disaster preparedness, as it enables officials to identify cities and regions that are most vulnerable to flooding, landslides, or other natural disasters. By knowing the precise coordinates of urban centers, it is possible to create targeted strategies for mitigating risks and enhancing resilience.
Conclusion
The Republic of the Congo’s geography, defined by its rivers, forests, and coastal plains, plays a central role in shaping the nation’s development. From Brazzaville’s position along the Congo River to the bustling port of Pointe-Noire, each city’s geographical location influences the country’s economic activities, urban growth, and cultural landscape. Access to precise geographical data, including the latitude and longitude of cities, regions, and departments, provides valuable insights into the complex relationship between urbanization and the natural environment. With such data, the Republic of the Congo can continue to develop sustainably, balancing its natural wealth with the needs of its growing population and urban infrastructure.
FaQ about Republic of the Congo
- Geoname_ID: This is a unique identifier for each place or geographical name in the Geoname database.
- City: The name of the place, which can be a town, village or any other form of human settlement.
- Alternate_Name: Other names or appellations that the place may have. These alternative names may be in different languages, dialects or even local names.
- Country_Code: This is the ISO 3166-1 alpha-2 code for the country in which the place is located. For example, "US" for the United States, "FR" for France.
- Region: This represents the first-order administrative division in which the location is situated. For example, this could be a state, province or territory.
- Sub_region: This is a second-order administrative division, such as a county or district, within the region.
- Latitude: The geographical latitude of the location, usually in decimal degrees.
- Longitude: The geographical longitude of the location, also usually in decimal degrees.
- Elevation: The elevation or altitude of the location in relation to sea level, usually measured in metres.
- Population: The estimated number of inhabitants or population of the location.
- Timezone: The time zone in which the location is located, in accordance with global time zone standards.
- Fcode_Name: This is a code that categorises the type of location. For example, "PPL" could mean a populated place, while "PPLC" could be the capital of a political entity.