Republic of the Congo cities list with latitude and longitude in Excel, CSV, XML, SQL, JSON formats
Last update : 15 February 2026.
Below is a list of 100 prominent cities in Republic of the Congo. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 5776 places in Republic of the Congo that you'll find in our World Cities Database. You're free to use the data below for personal or commercial applications. The data below can be downloaded in Excel (.xlsx), .csv, .json, .xml and .sql formats. Notable Cities: The capital of Republic of the Congo is Brazzaville.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2257568 | Matoto | Matato,Matoto | CG | Niari | -2.51861 | 12.72611 | 0 | Africa/Brazzaville | populated place | ||
| 2567446 | Bouka-Oussango | CG | Kouilou | -4.04278 | 11.71194 | 0 | Africa/Brazzaville | populated place | |||
| 2257777 | Mandaka | CG | Brazzaville | -3.92222 | 15.34667 | 0 | Africa/Brazzaville | populated place | |||
| 2257519 | Mayéla | CG | Pool | -4.18333 | 15.06667 | 0 | Africa/Brazzaville | populated place | |||
| 2256066 | Nsanga | CG | Bouenza | -4.23389 | 13.62639 | 0 | Africa/Brazzaville | populated place | |||
| 2565917 | Bembé | CG | Cuvette-Ouest | 0.62722 | 14.50194 | 0 | Africa/Brazzaville | populated place | |||
| 2255100 | Tenta | CG | Pool | -4.81861 | 14.78972 | 0 | Africa/Brazzaville | populated place | |||
| 2260079 | Ingwéné | Engouele,Engouélé,Ingwene,Ingwéné | CG | Plateaux | -1.76278 | 15.93778 | 0 | Africa/Brazzaville | populated place | ||
| 2565583 | Ngobé | CG | Sangha | 1.90278 | 16.08778 | 0 | Africa/Brazzaville | populated place | |||
| 2260631 | Boulankio II | CG | Brazzaville | -3.73333 | 15.28333 | 0 | Africa/Brazzaville | populated place | |||
| 2568567 | Kifoulou | CG | Bouenza | -3.63556 | 13.81333 | 0 | Africa/Brazzaville | populated place | |||
| 2257854 | Malengo | CG | Pool | -4.27472 | 14.95056 | 0 | Africa/Brazzaville | populated place | |||
| 2259343 | Kébouya | Kebouya,Kepouya,Kébouya | CG | Cuvette | -1.18583 | 14.96611 | 0 | Africa/Brazzaville | populated place | ||
| 2566834 | Tsanga | CG | Niari | -4.42583 | 12.89194 | 0 | Africa/Brazzaville | populated place | |||
| 2255183 | Tchibala | CG | Kouilou | -4.69611 | 11.88667 | 0 | Africa/Brazzaville | populated place | |||
| 2259029 | Kingoma | CG | Pool | -3.72 | 14.535 | 0 | Africa/Brazzaville | populated place | |||
| 2255462 | Paris | CG | Pool | -4.74528 | 14.69056 | 0 | Africa/Brazzaville | populated place | |||
| 2256004 | Ntsiri | N’Tsiri,Ntsiri,N’Tsiri | CG | Cuvette | -1.415 | 15.06861 | 0 | Africa/Brazzaville | populated place | ||
| 2255143 | Tchimpassi | CG | Kouilou | -4.53278 | 11.97361 | 0 | Africa/Brazzaville | populated place | |||
| 2569357 | Ogooué | CG | Lékoumou | -2.75778 | 13.83611 | 0 | Africa/Brazzaville | populated place | |||
| 2258454 | Libonga I | Libonga,Libonga I | CG | Sangha | 0.90917 | 15.60028 | 0 | Africa/Brazzaville | populated place | ||
| 2258841 | Kivouti | Kivoudi,Kivouti | CG | Pool | -3.99639 | 14.50472 | 0 | Africa/Brazzaville | populated place | ||
| 2569134 | Antandé | CG | Plateaux | -2.70972 | 16.19306 | 0 | Africa/Brazzaville | populated place | |||
| 2261258 | Angao | CG | Plateaux | -1.70556 | 15.49056 | 0 | Africa/Brazzaville | populated place | |||
| 2260691 | Bouanissa | CG | Brazzaville | -4.37861 | 15.08361 | 0 | Africa/Brazzaville | populated place | |||
| 2255515 | Oyongo | CG | Cuvette | -0.31667 | 15.93333 | 0 | Africa/Brazzaville | populated place | |||
| 2569384 | Boundji | CG | Cuvette | -1.45028 | 16.57361 | 0 | Africa/Brazzaville | populated place | |||
| 2568503 | Ngengé | CG | Bouenza | -3.76556 | 13.92556 | 0 | Africa/Brazzaville | populated place | |||
| 2568379 | Maka | CG | Bouenza | -3.50194 | 14.12917 | 0 | Africa/Brazzaville | populated place | |||
| 2257279 | Mengo | Mengo,Mingo | CG | Kouilou | -4.6625 | 11.94417 | 0 | Africa/Brazzaville | populated place | ||
| 2259969 | Gaboumi | CG | Pool | -4.08694 | 14.66944 | 0 | Africa/Brazzaville | populated place | |||
| 2257220 | Mifoutamba | CG | Lékoumou | -3.04944 | 14.11306 | 0 | Africa/Brazzaville | populated place | |||
| 2255811 | Okombé | Okombe,Okombé,Okouembe,Okouembé | CG | Cuvette | 0.03222 | 16.02806 | 0 | Africa/Brazzaville | populated place | ||
| 2261366 | Akana | CG | Plateaux | -1.7925 | 16.12611 | 0 | Africa/Brazzaville | populated place | |||
| 2260420 | Diousala | CG | Niari | -2.7125 | 12.37833 | 0 | Africa/Brazzaville | populated place | |||
| 2254955 | Voka | CG | Pool | -4.67111 | 14.67361 | 0 | Africa/Brazzaville | populated place | |||
| 2255184 | Tchibala | CG | Kouilou | -4.7 | 11.9 | 0 | Africa/Brazzaville | populated place | |||
| 2258620 | Lébiga | CG | Niari | -2.43444 | 12.72389 | 0 | Africa/Brazzaville | populated place | |||
| 2567782 | Bokania | CG | Cuvette | -0.44528 | 16.62306 | 0 | Africa/Brazzaville | populated place | |||
| 2567118 | Tandou Mboma | CG | Kouilou | -4.92861 | 12.08667 | 0 | Africa/Brazzaville | populated place | |||
| 2256257 | Condji | Condji,N’Gondzi,Ngondzi,N’Gondzi | CG | Kouilou | -4.72417 | 11.96139 | 0 | Africa/Brazzaville | populated place | ||
| 2259080 | Kindamba I | CG | Bouenza | -4.12278 | 14.05667 | 0 | Africa/Brazzaville | populated place | |||
| 2261030 | Bankousou | Bankousou,Bankoussou | CG | Lékoumou | -2.69361 | 13.59472 | 0 | Africa/Brazzaville | populated place | ||
| 2259799 | Gélé-Okasa | Gele-Okasa,Guele-Okassa,Guelé-Okassa,Gélé-Okasa | CG | Plateaux | -1.46444 | 15.77389 | 0 | Africa/Brazzaville | populated place | ||
| 2257912 | Makana II | CG | Pool | -3.64806 | 14.64972 | 0 | Africa/Brazzaville | populated place | |||
| 2259228 | Kikouimba | CG | Pool | -3.4825 | 14.25222 | 0 | Africa/Brazzaville | populated place | |||
| 2567114 | Masendé | CG | Kouilou | -4.90111 | 12.10389 | 0 | Africa/Brazzaville | populated place | |||
| 2256529 | Mpita | CG | Pool | -4.30472 | 13.95028 | 0 | Africa/Brazzaville | populated place | |||
| 2565787 | Ofou | CG | Cuvette | 0.20361 | 15.53556 | 0 | Africa/Brazzaville | populated place | |||
| 2257306 | Mboutou | CG | Lékoumou | -3.19389 | 14.05167 | 0 | Africa/Brazzaville | populated place | |||
| 2257598 | Matala | CG | Pool | -4.29139 | 14.85583 | 0 | Africa/Brazzaville | populated place | |||
| 2569038 | Nianga | CG | Niari | -3.50417 | 12.605 | 0 | Africa/Brazzaville | populated place | |||
| 2568312 | Onpouana | CG | Plateaux | -1.81472 | 16.0875 | 0 | Africa/Brazzaville | populated place | |||
| 2261075 | Bandza | CG | Plateaux | -1.01472 | 15.68972 | 0 | Africa/Brazzaville | populated place | |||
| 2261108 | Bambala | CG | Kouilou | -4.68083 | 12.13694 | 0 | Africa/Brazzaville | populated place | |||
| 2259019 | Kingouala | CG | Bouenza | -3.915 | 13.80472 | 0 | Africa/Brazzaville | populated place | |||
| 2260089 | Empoura | CG | Cuvette | -1.61528 | 14.61667 | 0 | Africa/Brazzaville | populated place | |||
| 2255386 | Poudi | CG | Niari | -3.22972 | 12.63833 | 0 | Africa/Brazzaville | populated place | |||
| 2567830 | Banyanba | CG | Cuvette | -0.72806 | 15.65361 | 0 | Africa/Brazzaville | populated place | |||
| 2259741 | Ifourou | CG | Brazzaville | -3.96028 | 15.7075 | 0 | Africa/Brazzaville | populated place | |||
| 2255767 | Oli | CG | Plateaux | -1.97306 | 16.14528 | 0 | Africa/Brazzaville | populated place | |||
| 2258810 | Kololo | CG | Pool | -4.15556 | 14.72139 | 0 | Africa/Brazzaville | populated place | |||
| 2258022 | Mabiti | CG | Pool | -3.29167 | 14.20528 | 0 | Africa/Brazzaville | populated place | |||
| 2254827 | Youngou | CG | Kouilou | -4.26472 | 11.51361 | 0 | Africa/Brazzaville | populated place | |||
| 2569684 | Okélé | CG | Plateaux | -1.24194 | 15.59806 | 0 | Africa/Brazzaville | populated place | |||
| 2258366 | Loboko | CG | Cuvette | -0.75861 | 16.635 | 0 | Africa/Brazzaville | populated place | |||
| 2256620 | Moutoua | CG | Pool | -3.62389 | 14.42806 | 0 | Africa/Brazzaville | populated place | |||
| 2566231 | Kissanga | CG | Pool | -4.31806 | 14.47333 | 0 | Africa/Brazzaville | populated place | |||
| 2569418 | Etdjama | CG | Cuvette | -1.08194 | 16.89472 | 0 | Africa/Brazzaville | populated place | |||
| 2260717 | Bosemba | Bosemba,Bossimba | CG | Likouala | 1.41194 | 17.65194 | 0 | Africa/Brazzaville | populated place | ||
| 2568601 | Mbaya | CG | Lékoumou | -3.24667 | 13.73778 | 0 | Africa/Brazzaville | populated place | |||
| 2255086 | Tilala | CG | Kouilou | -4.86667 | 11.95 | 0 | Africa/Brazzaville | populated place | |||
| 2568570 | Kimboto | CG | Bouenza | -3.62611 | 13.97806 | 0 | Africa/Brazzaville | populated place | |||
| 2259452 | Kambala | CG | Niari | -2.79667 | 11.86806 | 0 | Africa/Brazzaville | populated place | |||
| 2566116 | Yalalakissi | CG | Pool | -4.69917 | 14.82667 | 0 | Africa/Brazzaville | populated place | |||
| 2254976 | Tsouo | CG | Plateaux | -1.58444 | 15.88583 | 0 | Africa/Brazzaville | populated place | |||
| 2257554 | Matzouélé | CG | Pool | -3.71472 | 14.57111 | 0 | Africa/Brazzaville | populated place | |||
| 2260486 | Dakar | Dakar,Daker | CG | Bouenza | -4.20083 | 13.31333 | 0 | Africa/Brazzaville | populated place | ||
| 2260163 | Ekébé | CG | Sangha | 1.53306 | 14.295 | 0 | Africa/Brazzaville | populated place | |||
| 2256119 | Nkola | CG | Pool | -4.70333 | 14.67222 | 0 | Africa/Brazzaville | populated place | |||
| 2568761 | Bidoua | CG | Lékoumou | -3.47167 | 13.45417 | 0 | Africa/Brazzaville | populated place | |||
| 2257770 | Mandombé | Mandombe,Mandombé,Mandonbe,Mandonbé | CG | Pool | -4.89056 | 14.63444 | 0 | Africa/Brazzaville | populated place | ||
| 2565875 | Mouangui | CG | Cuvette-Ouest | 0.44667 | 14.50833 | 0 | Africa/Brazzaville | populated place | |||
| 2566241 | Kimpombo | CG | Pool | -4.27833 | 14.55361 | 0 | Africa/Brazzaville | populated place | |||
| 2569642 | Eboro | CG | Plateaux | -1.28889 | 15.87528 | 0 | Africa/Brazzaville | populated place | |||
| 2568144 | Mpouya | CG | Cuvette-Ouest | -0.88361 | 14.80417 | 0 | Africa/Brazzaville | populated place | |||
| 2568418 | Abéa | CG | Cuvette | -1.21472 | 16.19972 | 0 | Africa/Brazzaville | populated place | |||
| 2566228 | Mangoungou | CG | Pool | -4.34139 | 14.55833 | 0 | Africa/Brazzaville | populated place | |||
| 2567439 | Namoukèmba | CG | Kouilou | -4.01222 | 11.77361 | 0 | Africa/Brazzaville | populated place | |||
| 2255127 | Tchissanga | Tchisanga,Tchissanga,Villages Tchissanga | CG | Kouilou | -4.51667 | 11.8 | 0 | Africa/Brazzaville | populated place | ||
| 2256246 | Ngouala | CG | Cuvette | -0.28278 | 15.48972 | 0 | Africa/Brazzaville | populated place | |||
| 2260640 | Boukoulibouali | CG | Kouilou | -4.66944 | 11.93778 | 0 | Africa/Brazzaville | populated place | |||
| 2565990 | Kibouendé | CG | Brazzaville | -4.33556 | 15.14861 | 0 | Africa/Brazzaville | populated place | |||
| 2256825 | Mougala | CG | Niari | -2.54528 | 12.31389 | 0 | Africa/Brazzaville | populated place | |||
| 2258083 | Loutembo | CG | Kouilou | -4 | 11.75 | 0 | Africa/Brazzaville | populated place | |||
| 2257172 | Mindzo Dzoulou | CG | Pool | -3.52083 | 14.59 | 0 | Africa/Brazzaville | populated place | |||
| 2260591 | Boundji | BOE,Boundji,Saint-Francois de Boundji,Saint-François de Boundji | CG | Cuvette | -1.02605 | 15.35914 | 0 | Africa/Brazzaville | populated place | ||
| 2260944 | Bétou d’Issassa | Betou d’Issassa,Bétou d’Issassa,Issassa,Mbetou-Issassa | CG | Likouala | 3.3 | 18.58333 | 0 | Africa/Brazzaville | populated place | ||
| 2259496 | Ivarou | Ivaro,Ivarou | CG | Niari | -2.95 | 11.99639 | 0 | Africa/Brazzaville | populated place | ||
| 2565578 | Mbirou | CG | Sangha | 1.55056 | 16.13361 | 0 | Africa/Brazzaville | populated place |
**Exploring the Geographic Diversity of the Republic of the Congo**
Nestled in the heart of Central Africa, the Republic of the Congo is a land of rich biodiversity, cultural heritage, and geographical wonders. As a geographer, delving into the intricate details of its cities, regions, and geographical coordinates offers a fascinating journey through this vibrant nation.
Mapping the Urban Landscape**
The Republic of the Congo boasts a diverse array of urban centers, each with its own unique character and significance. From the bustling capital city of Brazzaville to the port city of Pointe-Noire, these urban hubs serve as economic, cultural, and political focal points for the country. Obtaining data on the cities of the Republic of the Congo involves not only cataloging their geographical coordinates but also understanding their historical development, demographic trends, and urban infrastructure.
Exploring Regional Diversity**
Beyond its urban centers, the Republic of the Congo is characterized by a mosaic of geographical regions, each with its own distinct features and ecosystems. From the dense rainforests of the Congo Basin to the savannas of the Cuvette region, the country's diverse landscapes are home to a wealth of flora and fauna. Obtaining data on the regions and departments of the Republic of the Congo requires not only delineating their boundaries but also studying their natural resources, environmental conservation efforts, and cultural traditions.
Navigating Latitude and Longitude**
Latitude and longitude coordinates play a crucial role in navigating the Republic of the Congo's geographical terrain. Situated near the equator, the country experiences a tropical climate with high temperatures and humidity throughout the year. Its geographical coordinates provide insights into its climatic variations, hydrological systems, and biodiversity hotspots. Obtaining accurate latitude and longitude data for the Republic of the Congo's cities and landmarks is essential for understanding its spatial orientation, environmental resilience, and cultural heritage.
Embracing the Geographic Tapestry**
In conclusion, the Republic of the Congo's geography is a tapestry of natural wonders, cultural diversity, and historical significance. As geographers, let us continue to explore and document the geographical marvels of this dynamic nation. By obtaining data on its cities, regions, and geographical coordinates, we can contribute to a deeper understanding and appreciation of the Republic of the Congo's unique identity and place in the world.

Download data files for Republic of the Congo's cities in Excel (.xlsx), CSV, SQL, XML and JSON formats
Geography of the Republic of the Congo: A Deep Dive into Its Cities and Spatial Data
The Republic of the Congo, a country located in Central Africa, offers a rich tapestry of geographical features, from dense tropical forests to expansive river systems. With its dynamic urban centers and vast natural landscapes, understanding the geography of the Republic of the Congo requires more than just a map—it demands access to detailed spatial data about its cities, regions, and departments. This article explores the geographical structure of the Republic of the Congo, emphasizing the value of obtaining comprehensive data on the country's urban areas, including their latitude and longitude coordinates, administrative boundaries, and much more.
The Republic of the Congo: A Geographical Overview
The Republic of the Congo is bordered by Cameroon, the Central African Republic, the Democratic Republic of the Congo, Gabon, and the Atlantic Ocean. Despite its relatively small size compared to some of its neighbors, the country’s diverse landscapes include the vast Congo Basin, which is home to one of the largest tropical rainforests in the world. The geographical variety extends from coastal plains to mountain ranges, making it a subject of great interest for geographers and environmental scientists alike.
At the heart of the country's geography are its cities. Each city is a reflection of the diverse environments and cultures that define the Republic of the Congo. From the bustling capital of Brazzaville to the more remote areas located along the Congo River, these cities represent the intersection of natural resources, urbanization, and political significance.
Urban Centers of the Republic of the Congo: Cities, Regions, and Administrative Divisions
The Republic of the Congo is divided into several administrative divisions, each with its own set of cities and regions. Brazzaville, the capital, is the most populous city, located on the Congo River. It serves as the political, economic, and cultural heart of the nation. Other major cities include Pointe-Noire, the country’s economic hub, and Dolisie, a key city in the southern region.
Each city is part of a specific department, with unique geographical attributes that contribute to its identity. For example, Brazzaville is situated within the department of the same name, while cities like Pointe-Noire belong to the Kouilou department. These regional divisions are essential for understanding the socio-economic and political layout of the country.
To fully appreciate the dynamics of the Republic of the Congo, one must look beyond the cities themselves and examine how these regions are interlinked. This includes understanding the geographic and administrative boundaries that distinguish one city from another, as well as their proximity to key natural features such as rivers, forests, and coastal zones.
Harnessing Data for a Comprehensive Geographical Understanding
In order to develop a deep understanding of the Republic of the Congo’s geography, having access to detailed and accurate data is crucial. This data should cover various aspects, including the precise location of each city (via latitude and longitude), their corresponding regions and departments, and other relevant geographical attributes.
The availability of spatial data in formats such as CSV, SQL, JSON, and XML allows for seamless integration into Geographic Information Systems (GIS) or other analytical tools. This can help geographers, urban planners, and researchers analyze spatial relationships, study urban growth patterns, or assess environmental changes. For example, obtaining the latitude and longitude of each city facilitates the creation of interactive maps that display the geographical context of each urban area in relation to the country’s natural and administrative features.
These data formats are widely used for their versatility and adaptability, allowing users to access and manipulate the data according to their specific needs. Whether you are conducting research or working on urban development projects, having this data readily available enables more informed decision-making processes.
Practical Applications of Geographic Data in the Republic of the Congo
Geographical data in the Republic of the Congo has wide-reaching applications. For urban planners and policymakers, understanding the geographical distribution of cities and regions is essential for developing infrastructure, transportation networks, and resource allocation strategies. By utilizing spatial data, they can better plan for the country’s rapid urbanization, ensuring that development is both sustainable and equitable.
Additionally, businesses seeking to expand into the Republic of the Congo can use geographical data to identify key growth areas, locate potential sites for new operations, or assess logistical needs based on the country's urban layout. For example, knowing the exact locations of cities and their departments can help businesses optimize supply chains or target their marketing efforts to specific regions.
Environmental researchers also benefit from geographic data, as it can be used to track deforestation, river basin health, or biodiversity in the Congo Basin. Access to detailed spatial data allows for more precise monitoring of these important environmental factors, which are critical for the long-term health of the region.
Why Data Access is Key for Understanding the Republic of the Congo
Access to geographical data about the Republic of the Congo is indispensable for anyone involved in spatial analysis, urban development, or environmental research. By obtaining precise data on the cities, regions, and departments of the country, you unlock a deeper understanding of its geography.
The flexibility of data formats like CSV, SQL, JSON, and XML makes it easy to analyze, visualize, and manipulate geographical information for a wide range of purposes. Whether you're building a geographic database, creating interactive maps, or conducting advanced spatial analysis, the availability of this data empowers you to explore and understand the complexities of the Republic of the Congo’s geography in a way that was once unimaginable.
Conclusion
The Republic of the Congo’s diverse geography, from its rivers to its urban centers, provides an invaluable context for understanding the country's development. By obtaining detailed geographical data on the cities, regions, and departments, you gain a comprehensive view of the nation’s spatial dynamics. With access to this data in formats like CSV, SQL, JSON, and XML, you can explore and analyze the geographical landscape of the Republic of the Congo in ways that are both practical and impactful. For researchers, planners, and businesses alike, this data is an essential resource for navigating the intricate geography of this Central African nation.