Namibia cities list with latitude and longitude in Excel, CSV, SQL, XML, JSON formats
Last update : 22 January 2026.
This is the best list of 2137 cities in the Namibia 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 Namibia 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 877274 | Guma | NA | Kavango East | -18 | 20.66667 | 0 | Africa/Windhoek | populated place | |||
| 3352669 | Torrabaai | NA | Kunene | -20.31667 | 13.23333 | 0 | Africa/Windhoek | populated place | |||
| 3354711 | Okauwa | NA | Kunene | -18.78333 | 14.03333 | 0 | Africa/Windhoek | populated place | |||
| 11496169 | Mbapuka | NA | Kavango East | -17.94373 | 21.13859 | 0 | Africa/Windhoek | populated place | |||
| 3357965 | Direlis | NA | Khomas | -22.75 | 17.31667 | 0 | Africa/Windhoek | populated place | |||
| 876913 | Punga | NA | Zambezi | -17.78333 | 25.1 | 0 | Africa/Windhoek | populated place | |||
| 3353788 | Otjomungwindi | NA | Omaheke | -23.45 | 19.55 | 0 | Africa/Windhoek | populated place | |||
| 3354844 | Okamakaku | NA | Oshikoto | -18.23333 | 16.2 | 0 | Africa/Windhoek | populated place | |||
| 3354006 | Oshanyata | NA | Oshikoto | -17.73333 | 16.9 | 0 | Africa/Windhoek | populated place | |||
| 877172 | Katungu | NA | Zambezi | -17.71667 | 24.03333 | 0 | Africa/Windhoek | populated place | |||
| 3355209 | Ncecwa | NA | Kavango East | -18.15 | 19.76667 | 0 | Africa/Windhoek | populated place | |||
| 3364236 | Meersig | NA | -22.98333 | 14.48333 | 0 | Africa/Windhoek | populated place | ||||
| 3352673 | Tomakas | Toakas,Tomakas | NA | Kunene | -18.9 | 13.28333 | 0 | Africa/Windhoek | populated place | ||
| 877236 | Kakambi | NA | Zambezi | -17.51667 | 24.4 | 0 | Africa/Windhoek | populated place | |||
| 12519856 | Goedgevonden | NA | Karas | -27.73019 | 18.68569 | 0 | Africa/Windhoek | populated place | |||
| 12521962 | Rooikoppie | NA | Karas | -28.43296 | 18.71419 | 0 | Africa/Windhoek | populated place | |||
| 3356855 | Heimat | NA | Khomas | -22.91667 | 17.98333 | 0 | Africa/Windhoek | populated place | |||
| 3354700 | Okayepe | NA | Kunene | -20.91667 | 14.91667 | 0 | Africa/Windhoek | populated place | |||
| 12538033 | Vrystaat 2 | Vrystaat 2,Vrystaat2 | NA | Hardap | -25.06891 | 17.75033 | 0 | Africa/Windhoek | populated place | ||
| 3357733 | Elandsdraai | Ais,Elandsdraai | NA | Karas | -28.18333 | 19.51667 | 0 | Africa/Windhoek | populated place | ||
| 3353999 | Oshifitu | NA | Ohangwena | -17.7 | 16.96667 | 0 | Africa/Windhoek | populated place | |||
| 876877 | Sankwassa | NA | Zambezi | -17.81667 | 24.36667 | 0 | Africa/Windhoek | populated place | |||
| 12538254 | Zonderput | Zonderput | NA | Hardap | -24.82019 | 18.77334 | 0 | Africa/Windhoek | populated place | ||
| 3355839 | Kuseka | NA | Kavango West | -18.26667 | 19.41667 | 0 | Africa/Windhoek | populated place | |||
| 3352588 | Tsutsab | NA | Oshikoto | -18.86667 | 18.1 | 0 | Africa/Windhoek | populated place | |||
| 3357124 | Groot Aub | Aub,Groot Aub | NA | Hardap | -22.93333 | 17.18333 | 0 | Africa/Windhoek | populated place | ||
| 3355355 | Nakayale | Nakayale,Onakayale | NA | Omusati | -17.56667 | 15 | 0 | Africa/Windhoek | populated place | ||
| 3354211 | Ondova | NA | Kunene | -17.25 | 13.16667 | 0 | Africa/Windhoek | populated place | |||
| 3355020 | Nu-Uis | NA | Erongo | -21.23333 | 15.4 | 0 | Africa/Windhoek | populated place | |||
| 876936 | Ntela | NA | Zambezi | -17.73333 | 24.8 | 0 | Africa/Windhoek | populated place | |||
| 3352581 | Tuguva | NA | Kavango West | -17.41667 | 18.43333 | 0 | Africa/Windhoek | populated place | |||
| 3353855 | Otjiperongo | NA | Erongo | -20.83333 | 15.58333 | 0 | Africa/Windhoek | populated place | |||
| 877136 | Libetse | NA | Zambezi | -18.03333 | 23.33333 | 0 | Africa/Windhoek | populated place | |||
| 3354931 | Ohauyave | Ohauyave,Ohauyave Munini | NA | Ohangwena | -17.56667 | 16.8 | 0 | Africa/Windhoek | populated place | ||
| 3354916 | Oidimba | NA | Ohangwena | -17.48333 | 16.5 | 0 | Africa/Windhoek | populated place | |||
| 877304 | Djadjasa | NA | Kavango East | -18.23333 | 20.83333 | 0 | Africa/Windhoek | populated place | |||
| 3353325 | Sambusu | Sambuso,Sambusu | NA | Kavango West | -17.85 | 19.33333 | 0 | Africa/Windhoek | populated place | ||
| 877216 | Kandenga | Kandenga,Yaro | NA | Kavango East | -18 | 20.6 | 0 | Africa/Windhoek | populated place | ||
| 3352075 | Wolfbeen | NA | Karas | -27.2 | 16.85 | 0 | Africa/Windhoek | populated place | |||
| 3352152 | Wildernis | NA | Oshikoto | -18.83333 | 18.01667 | 0 | Africa/Windhoek | populated place | |||
| 876805 | Silenge | NA | Zambezi | -17.71667 | 23.98333 | 0 | Africa/Windhoek | populated place | |||
| 3354322 | Onalusheshete | NA | Oshikoto | -18.31667 | 16.33333 | 0 | Africa/Windhoek | populated place | |||
| 876954 | Ngala | NA | Zambezi | -17.95 | 24.41667 | 0 | Africa/Windhoek | populated place | |||
| 3353626 | Pionier | NA | Karas | -28.71585 | 18.93102 | 0 | Africa/Windhoek | populated place | |||
| 877045 | Mazaza | NA | Zambezi | -17.58333 | 24.85 | 0 | Africa/Windhoek | populated place | |||
| 3357632 | Erindinoukambe | NA | Omaheke | -21.11667 | 19.11667 | 0 | Africa/Windhoek | populated place | |||
| 3354045 | Oruhito | NA | Kunene | -20.86667 | 14.95 | 0 | Africa/Windhoek | populated place | |||
| 3357138 | Grillenthal | NA | Karas | -26.99381 | 15.35827 | 0 | Africa/Windhoek | populated place | |||
| 3354250 | Ondahaka | NA | Khomas | -22.08333 | 17.8 | 0 | Africa/Windhoek | populated place | |||
| 877063 | Mashika | NA | Kavango East | -17.88333 | 20.2 | 0 | Africa/Windhoek | populated place | |||
| 3358815 | Academia | NA | Khomas | -22.61028 | 17.06722 | 0 | Africa/Windhoek | populated place | |||
| 3355730 | Lichtenstein Mitte | NA | Khomas | -22.78333 | 16.96667 | 0 | Africa/Windhoek | populated place | |||
| 3354960 | Ohailinda | NA | Ohangwena | -17.66667 | 16.81667 | 0 | Africa/Windhoek | populated place | |||
| 3355987 | Korhaan | NA | Karas | -28.27123 | 18.06332 | 0 | Africa/Windhoek | populated place | |||
| 3353888 | Otjikondavirongo | NA | Kunene | -18.75 | 13.53333 | 0 | Africa/Windhoek | populated place | |||
| 3354872 | Okakololo | NA | Oshikoto | -18.15 | 16.26667 | 0 | Africa/Windhoek | populated place | |||
| 3354018 | Oshali | NA | Ohangwena | -17.53333 | 15.66667 | 0 | Africa/Windhoek | populated place | |||
| 3354690 | Okeriko | NA | Omaheke | -23.76667 | 19.53333 | 0 | Africa/Windhoek | populated place | |||
| 3354265 | Onankali | Onankali | NA | Oshikoto | -18.16667 | 16.35 | 0 | Africa/Windhoek | populated place | ||
| 3356310 | Karuchas | Goeroegas,Guruchas,Karuchas | NA | Karas | -28.23333 | 18.31667 | 0 | Africa/Windhoek | populated place | ||
| 12519861 | Satco | NA | Karas | -27.91817 | 18.69851 | 0 | Africa/Windhoek | populated place | |||
| 877064 | Mashari | Masari,Mashari | NA | Kavango East | -17.9 | 20.13333 | 0 | Africa/Windhoek | populated place | ||
| 877017 | Munjewe | NA | Zambezi | -17.98333 | 23.4 | 0 | Africa/Windhoek | populated place | |||
| 876986 | Mwilima | NA | Zambezi | -17.51667 | 24.76667 | 0 | Africa/Windhoek | populated place | |||
| 3357782 | Ehangano | NA | Oshana | -17.78333 | 15.61667 | 0 | Africa/Windhoek | populated place | |||
| 877215 | Kandjara | NA | Kavango East | -18.16667 | 20.8 | 0 | Africa/Windhoek | populated place | |||
| 3358654 | Arbeidsgenot | NA | Khomas | -22.68333 | 16.65 | 0 | Africa/Windhoek | populated place | |||
| 3354429 | Ompunda | NA | Oshana | -18.03333 | 15.88333 | 0 | Africa/Windhoek | populated place | |||
| 3354121 | Onkwinkwiti | NA | Oshikoto | -17.9 | 17.15 | 0 | Africa/Windhoek | populated place | |||
| 3354726 | Okatumbo | NA | Oshikoto | -18 | 16.33333 | 0 | Africa/Windhoek | populated place | |||
| 3354321 | Onamagwena | NA | Oshikoto | -18.03333 | 16.06667 | 0 | Africa/Windhoek | populated place | |||
| 3358522 | Aus | Aus | NA | Karas | -26.66667 | 16.26667 | 0 | Africa/Windhoek | populated place | ||
| 877229 | Kalaluka | NA | Zambezi | -17.48333 | 24.33333 | 0 | Africa/Windhoek | populated place | |||
| 877096 | Makando | Makando,Makandu | NA | Kavango East | -17.96667 | 20.45 | 0 | Africa/Windhoek | populated place | ||
| 3353832 | Otjiu | Otjiu,Otju | NA | Kunene | -18.25 | 13.25 | 0 | Africa/Windhoek | populated place | ||
| 3353871 | Otjimbingwe | Otjimbingue,Otjimbingwe | NA | Erongo | -22.35 | 16.13333 | 7677 | Africa/Windhoek | populated place | ||
| 3353595 | Portsmut | NA | Khomas | -23.1 | 16.41667 | 0 | Africa/Windhoek | populated place | |||
| 3353815 | Otjiwapeke | NA | Erongo | -20.83333 | 15.18333 | 0 | Africa/Windhoek | populated place | |||
| 876992 | Muyako | NA | Zambezi | -17.9 | 24.4 | 0 | Africa/Windhoek | populated place | |||
| 876757 | Titima | NA | Kavango East | -18.18333 | 20.83333 | 0 | Africa/Windhoek | populated place | |||
| 3355180 | Neu-Puts | NA | Karas | -25.99482 | 18.47442 | 0 | Africa/Windhoek | populated place | |||
| 3354297 | Onamudime | NA | Ohangwena | -17.56667 | 16.95 | 0 | Africa/Windhoek | populated place | |||
| 3352303 | Voorwaarts | NA | Otjozondjupa | -18.86667 | 18.85 | 0 | Africa/Windhoek | populated place | |||
| 3354409 | Omulonga | NA | Ohangwena | -17.46667 | 16.85 | 0 | Africa/Windhoek | populated place | |||
| 3354507 | Ombalantu | Oembalantoe | NA | Omusati | -17.53 | 15.0035 | 0 | Africa/Windhoek | populated place | ||
| 3353980 | Oshilulu | NA | Omusati | -18.01667 | 15.06667 | 0 | Africa/Windhoek | populated place | |||
| 3355216 | Nbimbi | NA | Kavango West | -17.48333 | 18.25 | 0 | Africa/Windhoek | populated place | |||
| 3354187 | Onepandagulu | NA | Oshikoto | -17.98333 | 16.11667 | 0 | Africa/Windhoek | populated place | |||
| 3354221 | Ondobe | NA | Ohangwena | -17.51667 | 16.05 | 0 | Africa/Windhoek | populated place | |||
| 877048 | Mayowe | NA | Kavango East | -17.98333 | 20.6 | 0 | Africa/Windhoek | populated place | |||
| 3353945 | Osona | NA | Otjozondjupa | -22.11667 | 16.83333 | 0 | Africa/Windhoek | populated place | |||
| 3353094 | Siraro | NA | Kavango West | -17.76667 | 18.41667 | 0 | Africa/Windhoek | populated place | |||
| 3356645 | Huniams West | Huniam,Huniams Wes,Huniams West,HuniamsWest | NA | Karas | -28.32303 | 18.86777 | 0 | Africa/Windhoek | populated place | ||
| 3352098 | Witputs | NA | Karas | -28.6016 | 18.01832 | 0 | Africa/Windhoek | populated place | |||
| 3353687 | Ozongarongombe | NA | Otjozondjupa | -20.83333 | 17.86667 | 0 | Africa/Windhoek | populated place | |||
| 3355134 | Nkwizu | NA | Kavango West | -17.86667 | 18.53333 | 0 | Africa/Windhoek | populated place | |||
| 3358202 | Cambells Aub | NA | Hardap | -23.81667 | 16.76667 | 0 | Africa/Windhoek | populated place | |||
| 3352649 | Tsamab | Tsamab,Tsamub,Tzamab | NA | Karas | -28.1307 | 19.23638 | 0 | Africa/Windhoek | populated place | ||
| 3355980 | Korridor Pos Dertien | Korridor Pos 13,Korridor Pos Dertien | NA | Omaheke | -23.665 | 19.99 | 0 | Africa/Windhoek | populated place | ||
| 3353684 | Ozongunda | NA | Kunene | -18.53333 | 14.25 | 0 | Africa/Windhoek | populated place |
Namibia: A Geographical Insight into Southern Africa
A Land of Natural Wonders
Namibia, located in the southwestern region of Africa, is a country that boasts some of the most unique and diverse landscapes on the continent. Stretching from the Atlantic Ocean to the arid deserts of the Namib and Kalahari, Namibia's geography is defined by vast expanses of sand dunes, rugged mountain ranges, and wildlife-rich savannas. The country’s natural features are not only awe-inspiring but also integral to its identity and economy, which is largely based on mining, agriculture, and tourism.
One of the defining characteristics of Namibia is its geographical diversity. The country is home to the world’s oldest desert, the Namib Desert, which runs along the coastline, as well as the Kalahari Desert, which covers much of the eastern and southern parts of the country. These deserts are contrasted by the fertile, lush floodplains of the Zambezi River in the northeast, offering a range of ecosystems and climatic conditions across the country. Understanding Namibia's geography requires examining its varied landscapes, its cities, regions, and how human activity intersects with this striking natural environment.
The Regional Distribution of Cities and Settlements
Namibia is divided into 14 regions, each with distinct geographical and cultural features. The regions are further subdivided into towns, cities, and villages, with the capital city, Windhoek, sitting near the geographical center of the country. Windhoek serves as the political, economic, and social heart of Namibia, acting as a central hub for commerce, government, and education. The city’s location in the Khomas Highland offers a moderate climate compared to the surrounding desert areas, and it’s strategically positioned for access to both the coastal and inland regions.
The coastal region, including towns like Swakopmund and Walvis Bay, holds significant economic importance due to its proximity to the Atlantic Ocean, providing access to maritime trade and fishing industries. Further inland, cities like Oshakati and Rundu in the north are important regional centers that serve both as administrative hubs and focal points for local commerce, especially related to agriculture and natural resources.
The southern part of Namibia, known for its expansive desert landscapes, is home to cities like Keetmanshoop and Lüderitz, which serve as gateways to the vast Namib Desert and its iconic sand dunes. The geographic layout of Namibia’s urban settlements, with some areas more concentrated around the coast and others scattered in the interior, reflects the varied resources, accessibility, and climatic conditions of each region.
Obtaining geographic data, such as the specific locations, departments, and administrative regions of these cities, is crucial to understanding Namibia’s spatial organization. Accessing this data can provide key insights into how urban areas, economic zones, and natural resources are distributed throughout the country, which is essential for efficient planning and development.
Latitude and Longitude: Mapping Namibia's Cities and Regions
Latitude and longitude are powerful tools for accurately mapping the geographical landscape of Namibia. The country’s diverse terrain, from the arid deserts to the fertile northern floodplains, means that geographic precision is necessary to understand how different regions interact with their environment and infrastructure. By obtaining the exact coordinates of cities like Windhoek, Swakopmund, and Oshakati, one can begin to analyze how the geographical positioning of these cities influences trade, resource management, and regional connectivity.
For example, the coordinates of Windhoek help illustrate the city’s central position within the country, making it a key transportation and logistical hub. In contrast, coastal cities such as Walvis Bay and Swakopmund are influenced by their proximity to the ocean, which shapes their economic activities and transportation networks. Similarly, northern cities like Oshakati, which sit near the borders of Angola, are important for cross-border trade and regional integration.
Understanding the latitude and longitude of these cities also aids in assessing the country’s vulnerability to environmental challenges, such as droughts, floods, and climate change impacts. By pinpointing the exact locations of key settlements, geographic data can help policymakers plan for disaster preparedness and mitigation, ensuring that the country is resilient in the face of potential risks.
The Environmental Geography of Namibia
Namibia’s natural environment is as diverse as its urban areas, shaped by extreme climatic conditions and unique ecosystems. The country is home to several distinct biomes, including deserts, savannas, and wetlands, each offering different resources, challenges, and opportunities. The Namib Desert, with its iconic sand dunes, is a global natural wonder and an important tourist destination, drawing visitors from around the world to explore its dramatic landscapes.
In the north, the Zambezi River creates a lush contrast to the surrounding desert, supporting agriculture and providing a vital water source for both humans and wildlife. The river’s floodplains are home to a rich variety of flora and fauna, including elephants, hippos, and a wide array of bird species. This area contrasts with the more arid southern regions, where drought-resistant vegetation and wildlife, such as the oryx and springbok, dominate the landscape.
The central highlands offer a more temperate climate and fertile soils, supporting a variety of crops and livestock farming. In the east, the Kalahari Desert stretches across the border with Botswana, creating a transitional zone where desert and savanna meet. This rich diversity of ecosystems is one of Namibia’s greatest natural assets, but it also requires careful management to ensure sustainable resource use and environmental conservation.
Geographic data, including the precise locations of towns and natural landmarks, plays a crucial role in managing these ecosystems. By obtaining accurate coordinates for key natural areas, wildlife reserves, and agricultural zones, the government and conservation organizations can better plan for the protection of Namibia’s environment while supporting economic development.
Geographic Data for Infrastructure and Regional Development
In a country like Namibia, where vast distances separate urban centers and rural communities, accurate geographic data is essential for developing infrastructure, improving regional connectivity, and managing resources. With a population spread across expansive and often remote areas, providing adequate transportation, healthcare, education, and other services requires detailed geographic information.
Obtaining data on the locations of cities, towns, and administrative regions in Namibia can inform infrastructure development, including road networks, power lines, and water systems. For instance, understanding the geographic distribution of settlements allows for more efficient planning of transportation routes, ensuring that even the most remote communities are connected to urban centers for trade, medical services, and educational opportunities.
Moreover, geographic data is key to addressing challenges related to land use, water management, and environmental conservation. As Namibia experiences the impacts of climate change, including droughts and fluctuating rainfall patterns, accurate geographic data can help manage water resources, agricultural zones, and wildlife habitats more effectively. By leveraging this data, policymakers can create more informed strategies for managing Namibia’s unique and varied landscapes.
Conclusion
Namibia is a country defined by its geographical diversity, with natural landscapes ranging from deserts and mountains to fertile plains and river systems. The country's cities, regions, and rural areas are intricately linked to this environment, and understanding their geographical relationships is crucial for sustainable development and effective planning. By obtaining detailed geographic data on the cities, regions, and administrative departments of Namibia, including their precise latitude and longitude, decision-makers can gain valuable insights into the spatial distribution of resources, the challenges posed by climate change, and the opportunities for economic growth. This data is essential for planning a more sustainable and resilient future for Namibia and its people.
FaQ about Namibia
- 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.