Cameroon cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 13 December 2024.
Below is a list of 100 prominent cities in Cameroon. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 13441 places in Cameroon 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 .csv, .json, .xml and .sql formats. Notable Cities: The capital of Cameroon is Yaoundé.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
6698799 | Abeng Koro | CM | Far North | 12.73595 | 14.62137 | 0 | Africa/Douala | populated place | |||
2230416 | Katamsa | CM | Far North | 10.56926 | 13.97979 | 0 | Africa/Douala | populated place | |||
6730708 | Maguérao | CM | Far North | 10.54604 | 14.60774 | 0 | Africa/Douala | populated place | |||
2222694 | Pango | CM | West | 5.18333 | 10.36667 | 0 | Africa/Douala | populated place | |||
8560372 | Moummé | CM | West | 5.16158 | 10.0557 | 0 | Africa/Douala | populated place | |||
2235460 | Assam | CM | South-West | 6.00943 | 9.3109 | 0 | Africa/Douala | populated place | |||
2225715 | Mvamédjap | CM | South | 3.08333 | 11.35 | 0 | Africa/Douala | populated place | |||
2227594 | Mbouli | CM | North | 7.73333 | 15.13333 | 0 | Africa/Douala | populated place | |||
2221591 | Tégi | CM | North | 8.44309 | 13.33682 | 0 | Africa/Douala | populated place | |||
2231055 | Gossanougara | Gosanougara,Gossanougara | CM | Far North | 12.35946 | 14.56054 | 0 | Africa/Douala | populated place | ||
9074766 | Tapsetsa | CM | West | 5.72335 | 10.13526 | 0 | Africa/Douala | populated place | |||
8667678 | Tewaré | CM | North | 9.07368 | 13.84604 | 0 | Africa/Douala | populated place | |||
9086327 | Bassé | CM | West | 5.54836 | 10.34391 | 0 | Africa/Douala | populated place | |||
2222764 | Oyem | CM | South | 2.6 | 12.06667 | 0 | Africa/Douala | populated place | |||
8669013 | Pina | CM | North | 9.79587 | 13.66087 | 0 | Africa/Douala | populated place | |||
6855197 | Bananka | CM | North-West | 6.04684 | 9.71259 | 0 | Africa/Douala | populated place | |||
2230269 | Kitchiha | Kintchaha,Kitchaha,Kitchiha | CM | North | 10.01473 | 13.3353 | 0 | Africa/Douala | populated place | ||
2223830 | Nkomessamba | CM | Centre | 4.33333 | 12.41667 | 0 | Africa/Douala | populated place | |||
6858180 | Itali | CM | South-West | 5.0969 | 9.1443 | 0 | Africa/Douala | populated place | |||
2234123 | Bilanga Kombé | Bilanga Kombe,Bilanga Kombé,Bilenga-Kombe,Bilenga-Kombé | CM | Centre | 4.51667 | 11.63333 | 0 | Africa/Douala | populated place | ||
2229302 | Loe | CM | South-West | 4.7297 | 8.9382 | 0 | Africa/Douala | populated place | |||
2235409 | Atog-Boga | Atog-Boga,Atok-Boga | CM | South | 3.33333 | 10.51667 | 0 | Africa/Douala | populated place | ||
2224845 | Ngandou | CM | Centre | 5.11667 | 12.1 | 0 | Africa/Douala | populated place | |||
2227385 | Mékak | CM | South | 3.26667 | 12.01667 | 0 | Africa/Douala | populated place | |||
2223217 | Okokong | CM | Littoral | 3.6125 | 9.86528 | 0 | Africa/Douala | populated place | |||
8256202 | Mboumbe | CM | East | 4.14732 | 15.09058 | 0 | Africa/Douala | populated place | |||
2222813 | Ouroundéfango | CM | Adamaoua | 7.45 | 14 | 0 | Africa/Douala | populated place | |||
2228840 | Makou | CM | 4.95 | 10.11667 | 0 | Africa/Douala | populated place | ||||
2235993 | Adjap | CM | South | 2.66667 | 11.65 | 0 | Africa/Douala | populated place | |||
9074510 | Ndyaka | CM | Far North | 10.67982 | 13.61196 | 0 | Africa/Douala | populated place | |||
2231816 | Eto | CM | Centre | 5.11667 | 12.03333 | 0 | Africa/Douala | populated place | |||
2230024 | Konye | Konje,Konye | CM | South-West | 4.9371 | 9.4768 | 0 | Africa/Douala | populated place | ||
2595232 | Ardébé | CM | Far North | 12.05086 | 15.05089 | 0 | Africa/Douala | populated place | |||
6729766 | Holoum | CM | Far North | 10.61774 | 14.06719 | 0 | Africa/Douala | populated place | |||
2229826 | Nkou’omboum | Kouomboum,Nkou’omboum | CM | West | 5.60507 | 10.59533 | 0 | Africa/Douala | populated place | ||
6730706 | Dargalayel | CM | Far North | 10.52853 | 14.63532 | 0 | Africa/Douala | populated place | |||
2228935 | Mahole | CM | South-West | 4.8194 | 9.6071 | 0 | Africa/Douala | populated place | |||
2233850 | Boanda | Boana,Boanda | CM | South-West | 4.0522 | 9.1533 | 0 | Africa/Douala | populated place | ||
2235381 | Avébé | CM | South | 2.96667 | 11.73333 | 0 | Africa/Douala | populated place | |||
9074784 | Seo | CM | West | 5.67285 | 10.19641 | 0 | Africa/Douala | populated place | |||
2224692 | Ngoémétak | CM | East | 3.91667 | 12.83333 | 0 | Africa/Douala | populated place | |||
2230860 | Guirlé | CM | Far North | 10.6195 | 14.64757 | 0 | Africa/Douala | populated place | |||
2233712 | Boumbouma | Bombouma,Boumbouma,Illete,Illété | CM | Far North | 12.6655 | 14.73284 | 0 | Africa/Douala | populated place | ||
8562547 | Zingbwot | CM | West | 5.4249 | 10.00167 | 0 | Africa/Douala | populated place | |||
2595185 | Kendonge | Kandonge,Kendonge | CM | South-West | 4.5387 | 9.4228 | 0 | Africa/Douala | populated place | ||
2232949 | Djaloumé | Djaloume,Djaloumé,Djalume,Djalumé | CM | North | 9.6038 | 14.0167 | 0 | Africa/Douala | populated place | ||
2230284 | Kinada | CM | North | 9.31805 | 12.97371 | 0 | Africa/Douala | populated place | |||
6731993 | Djamhoura | CM | Far North | 10.3205 | 14.42309 | 0 | Africa/Douala | populated place | |||
8560928 | Ndoué | CM | West | 5.18482 | 10.4237 | 0 | Africa/Douala | populated place | |||
2232370 | Ebalondok | CM | Centre | 4.16667 | 11.71667 | 0 | Africa/Douala | populated place | |||
2233530 | Boukous | CM | Littoral | 4.03333 | 10.33333 | 0 | Africa/Douala | populated place | |||
2232456 | Douzay | CM | Far North | 10.81118 | 13.98527 | 0 | Africa/Douala | populated place | |||
2233082 | Diendé | CM | East | 4.35 | 12.96667 | 0 | Africa/Douala | populated place | |||
2595175 | Ndoh Beach | CM | Littoral | 4.5146 | 9.5185 | 0 | Africa/Douala | populated place | |||
2231475 | Gaba | CM | North | 8.18333 | 14.41667 | 0 | Africa/Douala | populated place | |||
2222659 | Passourou | Pasourou,Passourou | CM | North | 10.01687 | 13.50765 | 0 | Africa/Douala | populated place | ||
2225314 | Ndem I | Ndem,Ndem I | CM | Littoral | 4.55 | 10.33333 | 0 | Africa/Douala | populated place | ||
2228564 | Mang | CM | South | 2.91667 | 12.01667 | 0 | Africa/Douala | populated place | |||
2225441 | Mo Naodel | Mo Naodel,Naodel,Naodèl | CM | North | 9.1076 | 14.2826 | 0 | Africa/Douala | populated place | ||
2235143 | Baïna | CM | Adamaoua | 7.06667 | 14.96667 | 0 | Africa/Douala | populated place | |||
6730091 | Doubas | CM | Far North | 10.09479 | 14.06858 | 0 | Africa/Douala | populated place | |||
2234305 | Bian | CM | North | 8.06667 | 13.86667 | 0 | Africa/Douala | populated place | |||
9085764 | Nénégou II | CM | West | 5.5756 | 10.27712 | 0 | Africa/Douala | populated place | |||
9979340 | Hôré Nyîwa | Dima,Hore Nyiwa,Hôré Nyîwa | CM | North | 8.78114 | 13.54736 | 0 | Africa/Douala | populated place | ||
8562525 | Mindjou | CM | West | 5.41073 | 10.05786 | 0 | Africa/Douala | populated place | |||
2235112 | Bakebe I | Bakebe,Bakebe I | CM | South-West | 5.5654 | 9.5595 | 0 | Africa/Douala | populated place | ||
6858269 | Small Akak I | CM | South-West | 5.4917 | 9.3724 | 0 | Africa/Douala | populated place | |||
2235826 | Akok Maka | CM | East | 3.88333 | 12.56667 | 0 | Africa/Douala | populated place | |||
9101264 | Njitande | CM | West | 5.53035 | 10.60317 | 0 | Africa/Douala | populated place | |||
2235767 | Akouén | CM | Centre | 5.38333 | 11.33333 | 0 | Africa/Douala | populated place | |||
8667973 | Falatikou | CM | North | 9.3669 | 13.74194 | 0 | Africa/Douala | populated place | |||
6730704 | Gandama | CM | Far North | 10.54718 | 14.70055 | 0 | Africa/Douala | populated place | |||
2221342 | Toulous | Toulous,Tulus | CM | Far North | 12.35108 | 14.83238 | 0 | Africa/Douala | populated place | ||
2224612 | Ngonébok | Ngonabok,Ngonebok,Ngonobok,Ngonébok | CM | South | 3.01667 | 10.9 | 0 | Africa/Douala | populated place | ||
6857935 | Ebinsi | CM | South-West | 5.6903 | 9.1646 | 0 | Africa/Douala | populated place | |||
2235117 | Bagué | Bague,Bagué,Bake,Baké | CM | Far North | 11.76973 | 14.96944 | 0 | Africa/Douala | populated place | ||
2223104 | Onon | Ondone,Ondoné,Onon | CM | South | 2.4 | 12.46667 | 0 | Africa/Douala | populated place | ||
6732026 | Mbonga | CM | Far North | 10.85736 | 14.33685 | 0 | Africa/Douala | populated place | |||
6732011 | Mangafé Djarengol | CM | Far North | 10.93051 | 14.29588 | 0 | Africa/Douala | populated place | |||
9074951 | Tchou | CM | West | 5.53746 | 10.11155 | 0 | Africa/Douala | populated place | |||
2227303 | Mékoum | Akoum,Akum,Mekoum,Mékoum | CM | East | 2.93333 | 13.53333 | 0 | Africa/Douala | populated place | ||
2222549 | Pokélé | CM | Centre | 6.1 | 11.85 | 0 | Africa/Douala | populated place | |||
2221020 | Yaké | CM | North | 7.11667 | 14.68333 | 0 | Africa/Douala | populated place | |||
7107989 | Djenka | Djenka,Njenka | CM | North-West | 5.89819 | 10.02995 | 0 | Africa/Douala | populated place | ||
6858076 | Mengue | Menge,Mengue | CM | South-West | 5.5491 | 9.5827 | 0 | Africa/Douala | populated place | ||
2223635 | Nlonkou | CM | Littoral | 5.07187 | 9.95612 | 0 | Africa/Douala | populated place | |||
9074558 | Ldiri | CM | Far North | 10.54066 | 13.68846 | 0 | Africa/Douala | populated place | |||
6729422 | Guirvé | CM | Far North | 10.78644 | 14.04504 | 0 | Africa/Douala | populated place | |||
2221347 | Toukté | CM | North | 8.51944 | 13.33998 | 0 | Africa/Douala | populated place | |||
2230944 | Gouringuel | Gouringel,Gouringuel,Gouringuèl | CM | Far North | 10.5889 | 13.87481 | 0 | Africa/Douala | populated place | ||
2235475 | Asia | CM | East | 3.63333 | 13.11667 | 0 | Africa/Douala | populated place | |||
6730094 | Guidi | CM | Far North | 10.0952 | 14.10083 | 0 | Africa/Douala | populated place | |||
6698792 | Abassouni II | CM | Far North | 12.67469 | 14.28803 | 0 | Africa/Douala | populated place | |||
9096486 | Ntokwé | CM | North-West | 5.9898 | 10.37395 | 0 | Africa/Douala | populated place | |||
6858252 | Iwasa | CM | South-West | 5.0191 | 9.2005 | 0 | Africa/Douala | populated place | |||
2231545 | Mfesset | Fossett,Fossette,Mfesset | CM | West | 5.50182 | 10.67163 | 0 | Africa/Douala | populated place | ||
2227737 | Mboa | CM | Centre | 4.16667 | 12.5 | 0 | Africa/Douala | populated place | |||
8669502 | Karéwa | CM | North | 9.78452 | 13.97192 | 0 | Africa/Douala | populated place | |||
2230458 | Karagama | CM | Far North | 11.84512 | 15.01115 | 0 | Africa/Douala | populated place | |||
6858089 | Chinda | CM | South-West | 5.8315 | 9.6521 | 0 | Africa/Douala | populated place |
**Exploring Cameroon: A Geographer's Expedition**
Introduction**
Embarking on an exploration of Cameroon's geographical landscape is akin to embarking on a journey through the heart of Africa's diversity and complexity. As a geographer with a passion for uncovering the nuances of our planet, delving into the spatial dynamics of Cameroon offers a rich tapestry of experiences. In this narrative, we embark on a quest to obtain geographical data encompassing the cities, regions, and departments of Cameroon, with a particular focus on uncovering the latitude and longitude coordinates of each urban center.
Unveiling Cameroon: Gateway to Central Africa**
Cameroon, often referred to as "Africa in miniature," encapsulates the continent's geographical and cultural diversity within its borders. From the dense rainforests of the south to the arid savannas of the north, Cameroon's landscape is as varied as it is breathtaking. Beyond its natural beauty, Cameroon's rich cultural heritage and complex history add layers of depth to its geographical tapestry. As we set out to explore its urban and rural landscapes, we are drawn into a world of wonder and discovery.
Navigating Administrative Divisions: Understanding Cameroon's Territorial Framework**
Within Cameroon's administrative structure lie divisions that offer insights into the nation's governance and spatial organization. From the bustling metropolis of Douala to the remote villages nestled in the foothills of Mount Cameroon, each administrative unit plays a unique role in shaping the country's geography. As we delve deeper into the regions and departments of Cameroon, we gain a greater understanding of its diverse cultural and economic landscapes.
Data Quest: Capturing the Essence of Latitude and Longitude**
Central to our exploration is the quest to obtain precise geographic coordinates, unlocking the spatial essence of Cameroon's cities and settlements. Latitude and longitude data serve as our compass, guiding us through the bustling streets of urban centers and the winding roads of rural villages. From the vibrant markets of Yaoundé to the tranquil shores of Limbe, each set of coordinates reveals a new facet of Cameroon's geographical diversity.
Interpreting Insights: From Data to Geographic Understanding**
As data streams in, meticulously gathered and analyzed, patterns begin to emerge, offering insights into Cameroon's urbanization, population distribution, and socio-economic landscape. Through the lens of geographic data, we gain a deeper appreciation for the interconnectedness of people and place. From the fertile farmlands of Bamenda to the bustling commercial hubs of Bafoussam, Cameroon's geography reflects the rich tapestry of its cultural heritage and natural beauty.
Challenges and Reflections: Navigating the Geographical Terrain**
Yet, our journey is not without its challenges. The diverse landscapes and complex socio-political dynamics of Cameroon present unique obstacles in obtaining accurate geographical data. From navigating through densely populated urban areas to accessing information from remote rural communities, the pursuit of geographic knowledge requires patience, perseverance, and a willingness to embrace uncertainty.
Conclusion**
In conclusion, Cameroon stands as a testament to Africa's geographical and cultural richness. Through the lens of geographic data acquisition, we embark on a journey to unravel the spatial intricacies of this diverse nation. As we delve deeper into Cameroon's urban and rural landscapes, armed with geographical coordinates and a spirit of inquiry, we are reminded of the profound interconnectedness between data and geographic understanding, paving the way for new discoveries and insights in the field of geography.
Download data files for Cameroon's cities in CSV, SQL, XML and JSON formats
Geographical Insights into Cameroon: Unlocking the Power of Data for Development
Cameroon, often referred to as "Africa in miniature," offers a remarkably diverse landscape, ranging from coastal plains to mountainous regions, dense rainforests, and vast savannas. This diversity extends beyond the environment to its cultures, languages, and economic activities, making it a fascinating subject for geographic analysis. For geographers, urban planners, and policymakers, understanding the spatial distribution of cities, regions, and departments within Cameroon is crucial for managing resources, fostering economic growth, and planning for sustainable development.
To fully comprehend Cameroon’s geography and ensure effective development strategies, obtaining accurate data on its cities—along with their regions, departments, and precise latitude and longitude coordinates—is essential. With the data available in flexible formats such as CSV, SQL, JSON, and XML, geospatial insights can be leveraged to enhance planning efforts across a wide range of sectors, from infrastructure to environmental conservation.
Cameroon's Geography: A Nation of Diversity
Cameroon’s geography is defined by its diverse topography, which includes the coastal plains of the Atlantic, the tropical rainforests of the Central and Eastern regions, and the vast, flat savannas of the north. To the west, the country is bordered by the mountainous region of the Adamawa Plateau, while to the east, the landscape transitions into the Congo Basin, one of the world’s largest and most biodiverse rainforests.
The western region of Cameroon is dominated by the Mount Cameroon volcano, which is not only an iconic geographical feature but also a hotspot for biodiversity and a key driver of local economies in agriculture and tourism. In contrast, the north is primarily characterized by savanna and semi-arid conditions, which play a crucial role in the country’s agricultural output, particularly in crops like millet and maize.
These diverse landscapes contribute to a range of challenges and opportunities for urbanization, natural resource management, and infrastructure development. Understanding how cities and regions are distributed across this vast and varied geography is essential for creating development plans that consider local needs and unique regional characteristics.
Mapping Cameroon’s Cities: Administrative Divisions and Regions
Cameroon is divided into 10 regions, each with its own distinct geographical features and cultural characteristics. These regions are further subdivided into departments, municipalities, and villages, providing a complex administrative structure. The regions include the populous and economically important Centre, Littoral, and Southwest regions, as well as less densely populated and more rural areas such as the Far North, Adamawa, and East regions.
The capital city, Yaoundé, located in the Centre region, serves as the political and administrative hub of Cameroon. It is the largest urban center, with the highest concentration of government services, businesses, and infrastructure. Douala, located in the Littoral region, is the economic capital and the main port of Cameroon, facilitating trade across Central Africa. Other key cities like Bafoussam, Garoua, and Bamenda play vital roles in regional development, contributing to sectors such as agriculture, tourism, and manufacturing.
Each of these cities is embedded within a unique regional context, with different levels of urbanization, resource distribution, and infrastructure development. Detailed data on cities, their regions, and departments is essential for understanding the challenges and opportunities in each area, enabling policymakers to tailor solutions based on local needs.
Latitude and Longitude: Pinpointing the Cities for Detailed Analysis
Latitude and longitude coordinates are critical for accurately mapping Cameroon’s cities and understanding their geographic relationships. These coordinates provide the precision necessary for spatial analysis, helping urban planners assess the location of cities relative to key resources, transportation routes, and neighboring countries.
For example, knowing the latitude and longitude of Yaoundé, the capital, allows planners to evaluate its proximity to key roads, river systems, and resource centers. This data is essential for evaluating the city’s infrastructure needs, identifying areas for expansion, and determining how urban growth interacts with surrounding rural areas.
Similarly, with latitude and longitude data for cities like Douala, Garoua, and Bamenda, geographers can study the flow of goods and services, as well as regional economic activities, to optimize transportation networks and trade routes. Geographic data also aids in monitoring environmental risks such as flooding, soil erosion, and deforestation, all of which are important factors for managing sustainable urbanization.
Flexible Data Formats: CSV, SQL, JSON, and XML for Versatility
To ensure that geographic data on Cameroon’s cities, regions, and departments can be accessed and used by a wide range of stakeholders, it is important to provide the data in multiple formats. Offering data in CSV, SQL, JSON, and XML formats allows for greater accessibility and usability across various applications, from research and urban planning to real-time mapping and GIS.
CSV and SQL formats are ideal for users who need to manage large datasets, conduct detailed spatial analysis, and generate reports. These formats are particularly useful for urban planners and researchers who need to sort, filter, and analyze data based on different parameters, such as population density, economic activity, or infrastructure development.
JSON and XML formats, on the other hand, are particularly valuable for developers and organizations working with geographic information systems (GIS), web applications, or mobile platforms. These formats allow for real-time data updates, dynamic mapping, and interactive tools that can be used for a variety of purposes, including disaster management, environmental monitoring, and policy development.
By offering data in these flexible formats, Cameroon ensures that its geographic data is accessible to a wide audience, promoting collaboration, informed decision-making, and better planning for the future.
Conclusion: Harnessing the Power of Geographic Data for Cameroon’s Future
Cameroon's diverse geography, from its coastal plains and dense rainforests to its savannas and mountain ranges, presents both opportunities and challenges for urbanization, infrastructure, and natural resource management. By acquiring detailed geographic data on cities, regions, and departments—including latitude and longitude coordinates—geographers, urban planners, and policymakers can gain a comprehensive understanding of the country’s spatial dynamics.
Latitude and longitude data, combined with accessible formats like CSV, SQL, JSON, and XML, enables effective spatial analysis, resource allocation, and infrastructure planning. This data is essential for sustainable development, ensuring that Cameroon’s cities grow in harmony with their surrounding environments.
Unlocking the full potential of Cameroon’s geographic data will help the country address its development challenges, optimize its resources, and support balanced growth across regions. By leveraging this data, Cameroon can continue to build a sustainable, prosperous future for all its citizens.