Zambia cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 10 December 2024.
This is the best list of 12745 cities in the Zambia available in 4 formats ( CSV, Json, SQL, XML ). We have cleaned up the Geoname database to leave only the towns, capitals and villages. All are all 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 Zambia 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
914098 | Kamwambu | ZM | North-Western | -13.15705 | 23.41804 | 0 | Africa/Lusaka | populated place | |||
917006 | Hachile | ZM | Southern | -15.71667 | 28.01667 | 0 | Africa/Lusaka | populated place | |||
914080 | Kamwanza | ZM | Eastern | -14.2895 | 32.10053 | 0 | Africa/Lusaka | populated place | |||
177728 | Chikawala | ZM | Muchinga | -9.7 | 32.81667 | 0 | Africa/Lusaka | populated place | |||
921005 | Chafungo | Chafung,Chafungo | ZM | Central | -14.87281 | 29.32776 | 0 | Africa/Lusaka | populated place | ||
905924 | Mpango | ZM | Western | -16.58333 | 23.45 | 0 | Africa/Lusaka | populated place | |||
900898 | Njebe | ZM | Southern | -16.25 | 26.91667 | 0 | Africa/Lusaka | populated place | |||
905382 | Mufumbwe | Mufumbwe | ZM | North-Western | -13.68333 | 24.8 | 6155 | Africa/Lusaka | populated place | ||
915444 | Kalaluka | ZM | Western | -15.65 | 23.13333 | 0 | Africa/Lusaka | populated place | |||
906248 | Mkopa | ZM | Central | -14.28333 | 30.1 | 0 | Africa/Lusaka | populated place | |||
907556 | Masandiko | Masandika,Masandiko,Musandiko | ZM | Muchinga | -11.37259 | 32.85689 | 0 | Africa/Lusaka | populated place | ||
906907 | Mbulanjili | ZM | Western | -15.6 | 23.11667 | 0 | Africa/Lusaka | populated place | |||
904183 | Munte | ZM | North-Western | -14.06667 | 25.43333 | 0 | Africa/Lusaka | populated place | |||
914060 | Kamwengo | Kamwenga VII,Kamwengo | ZM | Central | -14.20705 | 27.64987 | 0 | Africa/Lusaka | populated place | ||
904257 | Mungulube | ZM | Eastern | -14.47757 | 30.99313 | 0 | Africa/Lusaka | populated place | |||
917042 | Goodwell Mwape | ZM | Central | -12.99755 | 30.56727 | 0 | Africa/Lusaka | populated place | |||
903428 | Muwala | ZM | Central | -14.08421 | 27.88432 | 0 | Africa/Lusaka | populated place | |||
920533 | Chapula | ZM | North-Western | -12.13333 | 24.26667 | 0 | Africa/Lusaka | populated place | |||
909538 | Lukesha | ZM | Western | -15.05 | 22.8 | 0 | Africa/Lusaka | populated place | |||
920954 | Chakwenga | ZM | Lusaka | -15.45 | 29.61667 | 0 | Africa/Lusaka | populated place | |||
901443 | Nchindo | ZM | Western | -17.48333 | 24.88333 | 0 | Africa/Lusaka | populated place | |||
915285 | Kalengwa | Kalengwa | ZM | North-Western | -13.46586 | 25.00271 | 7574 | Africa/Lusaka | populated place | ||
908789 | Lwaya | ZM | Western | -15.66667 | 23.01667 | 0 | Africa/Lusaka | populated place | |||
903233 | Mwakoi | ZM | Western | -14.86667 | 22.21667 | 0 | Africa/Lusaka | populated place | |||
912288 | Kasuka | ZM | Western | -17.1 | 23.73333 | 0 | Africa/Lusaka | populated place | |||
901328 | Ndonda | ZM | Western | -14.55 | 23.73333 | 0 | Africa/Lusaka | populated place | |||
910264 | Lipoke | ZM | Western | -14.83333 | 22.11667 | 0 | Africa/Lusaka | populated place | |||
913077 | Kapili | ZM | Eastern | -14.57466 | 31.2252 | 0 | Africa/Lusaka | populated place | |||
899894 | Papelo | ZM | Western | -15.01667 | 22.68333 | 0 | Africa/Lusaka | populated place | |||
903195 | Mwalukira | ZM | Eastern | -14.5988 | 31.43199 | 0 | Africa/Lusaka | populated place | |||
905573 | Mualuli | ZM | Western | -17.13333 | 24.51667 | 0 | Africa/Lusaka | populated place | |||
176258 | Malandawo | ZM | Muchinga | -9.96667 | 32.5 | 0 | Africa/Lusaka | populated place | |||
898543 | Shingoma | ZM | Southern | -15.73333 | 27.8 | 0 | Africa/Lusaka | populated place | |||
907504 | Mashemu | ZM | Western | -14.46667 | 24.21667 | 0 | Africa/Lusaka | populated place | |||
903673 | Mutalika | ZM | Central | -13.86382 | 30.00083 | 0 | Africa/Lusaka | populated place | |||
910365 | Limbwi | ZM | Western | -14.1 | 22.91667 | 0 | Africa/Lusaka | populated place | |||
918017 | Chitwa | Chibwa,Chitwa | ZM | Muchinga | -11.10021 | 31.62223 | 0 | Africa/Lusaka | populated place | ||
903078 | Mwanamulambo | Mwanamalambo,Mwanamulambo | ZM | Central | -14.41667 | 27.25 | 0 | Africa/Lusaka | populated place | ||
918167 | Chitembo | ZM | Eastern | -13.16894 | 31.84715 | 0 | Africa/Lusaka | populated place | |||
897788 | Silukutula | ZM | Southern | -16.85 | 27.21667 | 0 | Africa/Lusaka | populated place | |||
906955 | Mbomboza | ZM | Eastern | -14.35 | 31.36667 | 0 | Africa/Lusaka | populated place | |||
921600 | Alexander Mununka | ZM | Central | -12.83367 | 30.58379 | 0 | Africa/Lusaka | populated place | |||
176571 | Kaunda | ZM | Northern | -9.16667 | 31.1 | 0 | Africa/Lusaka | populated place | |||
920868 | Chamato | ZM | Eastern | -13.45 | 32.65 | 0 | Africa/Lusaka | populated place | |||
901022 | Ngubulu | ZM | Western | -14.59585 | 24.88415 | 0 | Africa/Lusaka | populated place | |||
896070 | Yaboka | ZM | Western | -14.01667 | 23.88333 | 0 | Africa/Lusaka | populated place | |||
896005 | Yona | ZM | Eastern | -14.28333 | 31.3 | 0 | Africa/Lusaka | populated place | |||
902006 | Namawa | ZM | Western | -15.03237 | 22.23508 | 0 | Africa/Lusaka | populated place | |||
914685 | Kamanya | Kamanya,Kamunya | ZM | Western | -14.36667 | 24.68333 | 0 | Africa/Lusaka | populated place | ||
897451 | Sindala | ZM | Western | -15.6 | 22.65 | 0 | Africa/Lusaka | populated place | |||
913904 | Kangabala | ZM | Central | -14.6843 | 27.51977 | 0 | Africa/Lusaka | populated place | |||
917021 | Gundungu | ZM | Western | -15.83333 | 23.85 | 0 | Africa/Lusaka | populated place | |||
897551 | Simulumbe | ZM | Western | -15.15644 | 23.548 | 0 | Africa/Lusaka | populated place | |||
918522 | Chipwalu | ZM | Lusaka | -15.08333 | 29.55 | 0 | Africa/Lusaka | populated place | |||
916483 | Joseph | ZM | Muchinga | -10.06667 | 32.75 | 0 | Africa/Lusaka | populated place | |||
177051 | Kalandanya | ZM | Northern | -9.5 | 31.55 | 0 | Africa/Lusaka | populated place | |||
905172 | Muketoye | ZM | Western | -15.93333 | 23.06667 | 0 | Africa/Lusaka | populated place | |||
908100 | Malimba | ZM | Southern | -17.33222 | 25.93588 | 0 | Africa/Lusaka | populated place | |||
897028 | Somokela | ZM | Central | -14.65 | 28.53333 | 0 | Africa/Lusaka | populated place | |||
911104 | Koma | ZM | Western | -16.89803 | 24.86168 | 0 | Africa/Lusaka | populated place | |||
897681 | Simasiku | ZM | Western | -14.73333 | 22.38333 | 0 | Africa/Lusaka | populated place | |||
906849 | Mbwainga | ZM | Western | -15.56667 | 23.43333 | 0 | Africa/Lusaka | populated place | |||
907725 | Manyane | Manyane,Manyani | ZM | Eastern | -14.62352 | 31.19138 | 0 | Africa/Lusaka | populated place | ||
902054 | Namanyevu | ZM | Western | -16.81667 | 24.85 | 0 | Africa/Lusaka | populated place | |||
912769 | Kasalumuna | ZM | Western | -14.61667 | 23.01667 | 0 | Africa/Lusaka | populated place | |||
908117 | Maliko | Malco,Maliko | ZM | Southern | -17.1616 | 27.14319 | 0 | Africa/Lusaka | populated place | ||
906007 | Moses Mpili | ZM | Central | -14.898 | 27.73866 | 0 | Africa/Lusaka | populated place | |||
919778 | Chikumba | ZM | Eastern | -13.1539 | 31.90152 | 0 | Africa/Lusaka | populated place | |||
175578 | Nachinse | ZM | Northern | -9.23333 | 30.8 | 0 | Africa/Lusaka | populated place | |||
919584 | Chilembwe | ZM | Eastern | -14.16838 | 32.09372 | 0 | Africa/Lusaka | populated place | |||
908426 | Makangala | Makangala,Makangara | ZM | Southern | -16.36667 | 26.71667 | 0 | Africa/Lusaka | populated place | ||
917065 | Geza | ZM | Eastern | -13.3 | 32.7 | 0 | Africa/Lusaka | populated place | |||
898521 | Shipokola Daniel | ZM | Central | -14.15746 | 27.53442 | 0 | Africa/Lusaka | populated place | |||
917956 | Chiwala | ZM | Copperbelt | -12.99744 | 28.73923 | 0 | Africa/Lusaka | populated place | |||
899487 | Sakasoma | ZM | North-Western | -13.85 | 23.05 | 0 | Africa/Lusaka | populated place | |||
916296 | Kabila | ZM | Western | -15.1 | 22.81667 | 0 | Africa/Lusaka | populated place | |||
906617 | Milanja | ZM | Western | -15.06667 | 24.46667 | 0 | Africa/Lusaka | populated place | |||
906038 | Mooka | ZM | Western | -17.38333 | 24.65 | 0 | Africa/Lusaka | populated place | |||
902433 | Nachilume | ZM | Western | -16.53333 | 24.38333 | 0 | Africa/Lusaka | populated place | |||
902472 | Nabulwe | ZM | Central | -14.61667 | 28.36667 | 0 | Africa/Lusaka | populated place | |||
910313 | Linyanguta | ZM | Western | -16.28333 | 22.4 | 0 | Africa/Lusaka | populated place | |||
177067 | Kalaba | Dimas Kalaba,Kalaba,Kalava | ZM | Northern | -8.43333 | 29.86667 | 0 | Africa/Lusaka | populated place | ||
916788 | Imbwae | Imbwae,Simbwae | ZM | Western | -17.27789 | 24.16351 | 0 | Africa/Lusaka | populated place | ||
897683 | Simasiku | ZM | Western | -14.63333 | 22.28333 | 0 | Africa/Lusaka | populated place | |||
900932 | Niomah | ZM | Southern | -16.06667 | 27.98333 | 0 | Africa/Lusaka | populated place | |||
920820 | Chambishi | Chambezi,Chambishi | ZM | Copperbelt | -12.63247 | 28.05367 | 11073 | Africa/Lusaka | populated place | ||
907084 | Mazila | ZM | Southern | -16.53333 | 28.18333 | 0 | Africa/Lusaka | populated place | |||
915067 | Kalonga | Kalonga,Karinga | ZM | Eastern | -13.46667 | 32.4 | 0 | Africa/Lusaka | populated place | ||
912558 | Kashadola | ZM | Western | -15.08333 | 25.25 | 0 | Africa/Lusaka | populated place | |||
896147 | Wenda | ZM | Western | -15.25 | 24.26667 | 0 | Africa/Lusaka | populated place | |||
899377 | Samahima | ZM | North-Western | -11.14105 | 24.30003 | 0 | Africa/Lusaka | populated place | |||
903613 | Mutemwa | ZM | Western | -15.46667 | 22.78333 | 0 | Africa/Lusaka | populated place | |||
177595 | Chingambo | ZM | Northern | -9.6 | 30.88333 | 0 | Africa/Lusaka | populated place | |||
908491 | Maimbo | ZM | Western | -15.93333 | 23.63333 | 0 | Africa/Lusaka | populated place | |||
910071 | Liyimba | ZM | Western | -14.7 | 22.48333 | 0 | Africa/Lusaka | populated place | |||
915507 | Kakuya | ZM | North-Western | -13.58333 | 23.55 | 0 | Africa/Lusaka | populated place | |||
900262 | Nyambe | ZM | Western | -15.28333 | 22.91667 | 0 | Africa/Lusaka | populated place | |||
907164 | Mayapi | ZM | Western | -14.96667 | 22.96667 | 0 | Africa/Lusaka | populated place | |||
902531 | Myota | ZM | Central | -15.21667 | 27.75 | 0 | Africa/Lusaka | populated place | |||
920448 | Chayanga | ZM | North-Western | -13.91667 | 23.66667 | 0 | Africa/Lusaka | populated place |
Exploring Zambia: A Geographical Perspective
A Country Defined by Diverse Landscapes
Zambia, a landlocked country in southern Africa, is characterized by its rich geographical diversity. From the mighty Zambezi River in the north to the rolling plateaus and mountainous terrain of the south, Zambia offers an array of landscapes that have shaped both its cultural and natural history. Despite its lack of coastlines, the country's vast river systems, national parks, and highlands contribute to a fascinating geographical profile.
The most prominent feature of Zambia's geography is the extensive plateau that stretches across the country, providing fertile ground for agriculture and abundant natural resources. The country is crisscrossed by rivers like the Zambezi, Luangwa, and Kafue, which have not only shaped the country's physical landscape but have been central to the livelihoods and cultures of local communities for centuries. Zambia’s rich natural landscapes are home to some of Africa’s most famous national parks, such as South Luangwa and Lower Zambezi, offering a wealth of biodiversity.
Zambia's climate varies from tropical in the north to temperate in the highland areas, with distinct wet and dry seasons. This climate variation is reflected in the country's ecological zones, with forests, savannahs, and wetlands all contributing to Zambia's geographical beauty.
Zambia’s Administrative Divisions: Provinces and Districts
Zambia is divided into 10 provinces, each with its own unique geography, culture, and economic focus. These provinces are further subdivided into districts, each representing administrative areas that hold both political and geographical significance. Understanding the provincial and district divisions of Zambia is crucial for comprehending the country’s spatial development, resource distribution, and infrastructure.
The provinces of Zambia include Lusaka (the capital and economic hub), Copperbelt (known for its mining industries), Central, Eastern, Western, Northern, Southern, North-Western, Muchinga, and Luapula. Each province has distinct geographical features. For example, the Copperbelt is renowned for its mining activities and dense urbanization, while the Northern Province is known for its wildlife and river systems.
Each district within these provinces offers a snapshot of Zambia’s local geography, including rural farming regions, urban centers, and areas with high natural resource extraction potential. These administrative units play a vital role in shaping local governance and development initiatives throughout the country.
Geographical Data: A Key to Understanding Zambia’s Growth
Geographical data, including accurate latitude and longitude coordinates, is fundamental for understanding Zambia's development patterns, resource management, and infrastructural planning. Mapping the locations of cities, towns, and districts provides critical insights into the spatial relationships between Zambia’s geographical features and its urban and rural areas.
For example, knowing the precise location of Lusaka—the country’s capital—helps understand how this urban center connects with other regions of Zambia, such as the mining areas in the Copperbelt or the agricultural hubs in the Eastern Province. In addition, geographic data offers a clear understanding of transportation and trade routes, allowing for better infrastructure development and regional connectivity.
The precise coordinates of cities and districts allow for a deeper understanding of Zambia’s geography, which is essential for planning future growth. The positioning of key cities relative to resources like water, arable land, and transportation networks can reveal opportunities for sustainable development, as well as challenges in providing essential services across rural and urban divides.
Latitude and Longitude: Enhancing Spatial Planning in Zambia
Latitude and longitude data are invaluable tools for spatial planning in Zambia. Geographic coordinates allow policymakers and urban planners to analyze how Zambia’s cities and provinces are distributed across the landscape. By examining the exact positioning of cities such as Kitwe, Ndola, and Livingstone, one can assess their accessibility, urbanization patterns, and relationship to the surrounding regions.
For instance, the location of cities along Zambia’s major rivers is key for understanding agricultural productivity, trade, and water resource management. The positioning of Lusaka, located in the central part of the country, serves as the nexus for much of the country’s infrastructure and economic activity, while cities closer to Zambia’s borders, such as Kasumbalesa and Chipata, play crucial roles in regional trade and cross-border commerce.
Moreover, geographic data helps in addressing the challenges of rural development and infrastructure access. Rural areas in Zambia’s provinces often face limited connectivity, and by analyzing the precise coordinates of cities and districts, planners can identify areas that require improved road networks, electricity access, and healthcare facilities.
Unlocking Zambia’s Potential Through Geographic Data
Having access to comprehensive geographic data on Zambia’s cities, provinces, and districts is essential for maximizing the country’s development potential. The precise coordinates provided by our database enable users to analyze urbanization trends, resource distribution, and infrastructure needs in a detailed and efficient manner.
By using geographic data to examine Zambia’s natural features—such as the fertile lands of the Southern and Eastern Provinces or the mining regions in the Copperbelt—it becomes possible to make informed decisions about land use, environmental conservation, and sustainable agricultural practices. Additionally, the data allows for better management of Zambia’s resources, ensuring that both urban and rural areas receive the necessary attention and investment.
Access to accurate geographic data also aids in disaster response and planning. For example, knowing the geographical distribution of Zambia’s flood-prone areas can improve planning for flood management and response strategies, particularly in regions near the Zambezi River. This data can also inform decisions on climate resilience, helping to protect vulnerable communities from the effects of changing weather patterns.
A Comprehensive Database for Zambia’s Future Growth
Our geographic database offers an extensive collection of data on Zambia’s cities, provinces, and districts, including their precise latitude and longitude coordinates. This resource provides valuable insights into Zambia’s geographical distribution, economic activity, and regional dynamics.
By utilizing our database, users can explore Zambia’s spatial layout, identify areas of potential growth, and analyze the relationships between urban centers and rural areas. The geographic data supports a wide range of applications, from business expansion and infrastructure planning to resource management and environmental conservation.
The database serves as an invaluable tool for researchers, government officials, and businesses seeking to understand Zambia’s geography and plan for the country’s sustainable development. With access to accurate geographic data, the future of Zambia can be shaped in ways that foster long-term economic growth and social well-being.
Conclusion: Leveraging Geographic Data for Zambia’s Sustainable Development
Zambia’s diverse geography offers both challenges and opportunities. From its vast plateaus and rich mineral deposits to its thriving agricultural regions, the country’s geography plays a vital role in shaping its future. By leveraging detailed geographic data, Zambia can better address its infrastructure needs, manage its natural resources, and foster sustainable growth across both urban and rural areas.
Our comprehensive geographic database provides the tools needed to explore Zambia’s spatial dynamics, offering essential data for decision-makers involved in urban planning, resource management, and economic development. With this data, Zambia’s geographical landscape can be understood and utilized to unlock its full potential, ensuring a prosperous and sustainable future for all its citizens.
FaQ about Zambia
- 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.