Zambia Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here you’ll find a curated sample of 100 key cities from Zambia, each with essential data points such as latitude, longitude, administrative region, and other relevant attributes.
This preview is extracted from our full dataset, which includes a total of 12745 geographic locations across Zambia.
Whether you’re working on mapping, analytics, or app development, the data is available for both personal and commercial use.
All entries can be downloaded in five formats: Excel (.xlsx), CSV, SQL, JSON, and XML.
Capital Highlight: The official capital city of Zambia is Lusaka.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 918740 | Chipande | ZM | Central | -14.78333 | 28.53333 | 0 | Africa/Lusaka | populated place | |||
| 176258 | Malandawo | ZM | Muchinga | -9.96667 | 32.5 | 0 | Africa/Lusaka | populated place | |||
| 906144 | Mofwe | ZM | Copperbelt | -13.24728 | 28.33178 | 0 | Africa/Lusaka | populated place | |||
| 897385 | Sinjabata | ZM | Western | -15.08333 | 24.1 | 0 | Africa/Lusaka | populated place | |||
| 899526 | Sakabemba | ZM | Eastern | -12.28333 | 32.45 | 0 | Africa/Lusaka | populated place | |||
| 914735 | Kamamina | ZM | Eastern | -13.34793 | 32.86766 | 0 | Africa/Lusaka | populated place | |||
| 904594 | Mulopwe | ZM | Muchinga | -11.18996 | 32.84745 | 0 | Africa/Lusaka | populated place | |||
| 897559 | Simulambwana | ZM | Western | -16.15 | 24.8 | 0 | Africa/Lusaka | populated place | |||
| 912135 | Kataya | ZM | Western | -15.21667 | 22.78333 | 0 | Africa/Lusaka | populated place | |||
| 916767 | Imutonga | ZM | Western | -15.46667 | 22.78333 | 0 | Africa/Lusaka | populated place | |||
| 916887 | Ikabako | ZM | Western | -15.09787 | 23.31076 | 0 | Africa/Lusaka | populated place | |||
| 897707 | Simanenga | ZM | Western | -17.2 | 24.63333 | 0 | Africa/Lusaka | populated place | |||
| 920257 | Chibisa | ZM | Eastern | -13.95 | 32.16667 | 0 | Africa/Lusaka | populated place | |||
| 909100 | Lusati | ZM | Eastern | -14.16667 | 30.83333 | 0 | Africa/Lusaka | populated place | |||
| 905544 | Mubiana | ZM | Western | -15.36667 | 22.66667 | 0 | Africa/Lusaka | populated place | |||
| 900258 | Nyambe | ZM | Western | -15.45 | 22.91667 | 0 | Africa/Lusaka | populated place | |||
| 904776 | Mulenga-Kasofu | Mulenga-Kasofu,Mulenga-Kasopu | ZM | Northern | -10.48333 | 31.38333 | 0 | Africa/Lusaka | populated place | ||
| 918667 | Chipembere | ZM | Copperbelt | -12.98333 | 28.73333 | 0 | Africa/Lusaka | populated place | |||
| 898601 | Shimbulo | ZM | Central | -14.91667 | 27.86667 | 0 | Africa/Lusaka | populated place | |||
| 908915 | Luwinga | ZM | Southern | -16.33333 | 27.31667 | 0 | Africa/Lusaka | populated place | |||
| 920280 | Chibesa | Chibesa,Chiseba | ZM | Muchinga | -11.46667 | 32.16667 | 0 | Africa/Lusaka | populated place | ||
| 897545 | Simuna | ZM | Western | -13.95 | 24.41667 | 0 | Africa/Lusaka | populated place | |||
| 910891 | Kuoaha | ZM | Eastern | -13.46667 | 32.8 | 0 | Africa/Lusaka | populated place | |||
| 903941 | Museta | ZM | Western | -14.8 | 23.35 | 0 | Africa/Lusaka | populated place | |||
| 916779 | Imonga | ZM | Western | -15.71667 | 23.15 | 0 | Africa/Lusaka | populated place | |||
| 906708 | Mgwazo | ZM | Eastern | -13.50304 | 32.82758 | 0 | Africa/Lusaka | populated place | |||
| 905441 | Mucholalinga | Chokampingo,Mucholalinga | ZM | Southern | -15.95 | 28.81667 | 0 | Africa/Lusaka | populated place | ||
| 907301 | Matobwe | ZM | Luapula | -10.08333 | 29.88333 | 0 | Africa/Lusaka | populated place | |||
| 919705 | Chikwama | ZM | Western | -15.58333 | 22.98333 | 0 | Africa/Lusaka | populated place | |||
| 904877 | Mulamfu | ZM | Southern | -17.29977 | 25.79424 | 0 | Africa/Lusaka | populated place | |||
| 920991 | Chaima | ZM | Eastern | -12.20245 | 33.2777 | 0 | Africa/Lusaka | populated place | |||
| 917933 | Chiwambo | ZM | Eastern | -14.18333 | 31.23333 | 0 | Africa/Lusaka | populated place | |||
| 902730 | Mwengu | ZM | Southern | -16.65 | 27.46667 | 0 | Africa/Lusaka | populated place | |||
| 897025 | Sonda | ZM | Western | -15.73333 | 22.61667 | 0 | Africa/Lusaka | populated place | |||
| 905545 | Mubiana | ZM | Western | -15.01667 | 23.38333 | 0 | Africa/Lusaka | populated place | |||
| 908236 | Malala | ZM | Western | -15.4 | 22.56667 | 0 | Africa/Lusaka | populated place | |||
| 899103 | Sanjongo | ZM | North-Western | -13.95 | 23.1 | 0 | Africa/Lusaka | populated place | |||
| 914577 | Kambi | ZM | Western | -16.91667 | 24.8 | 0 | Africa/Lusaka | populated place | |||
| 906225 | Mkunda | ZM | Eastern | -13.58333 | 32.5 | 0 | Africa/Lusaka | populated place | |||
| 905470 | Muchinchi | Muchinchi,Muchininche | ZM | Northern | -11.11344 | 29.94417 | 0 | Africa/Lusaka | populated place | ||
| 897820 | Siloka | ZM | Western | -16.43333 | 24.96667 | 0 | Africa/Lusaka | populated place | |||
| 897224 | Siteleki | ZM | Western | -15.5 | 23.03333 | 0 | Africa/Lusaka | populated place | |||
| 175668 | Mwananombwe | ZM | Muchinga | -9.16667 | 32.4 | 0 | Africa/Lusaka | populated place | |||
| 918197 | Chitanda | ZM | Copperbelt | -12.38333 | 27.95 | 0 | Africa/Lusaka | populated place | |||
| 899024 | Sawalala | ZM | Western | -14.7 | 24.56667 | 0 | Africa/Lusaka | populated place | |||
| 910770 | Landa | ZM | Central | -12.85 | 29.83333 | 0 | Africa/Lusaka | populated place | |||
| 919931 | Chikandamatipa | Chikandamanpo,Chikandamatipa | ZM | Muchinga | -10.33333 | 32.55 | 0 | Africa/Lusaka | populated place | ||
| 919739 | Chikunjiko | Chikunjika,Chikunjiko | ZM | North-Western | -13.6 | 23.4 | 0 | Africa/Lusaka | populated place | ||
| 907130 | Mayongo | Mayongo,Myongo | ZM | Southern | -16.33333 | 26.71667 | 0 | Africa/Lusaka | populated place | ||
| 909992 | Lopo | ZM | Eastern | -13.72842 | 32.80252 | 0 | Africa/Lusaka | populated place | |||
| 901365 | Ndengulu | ZM | Western | -14.65884 | 24.54286 | 0 | Africa/Lusaka | populated place | |||
| 916695 | Isake Mangole | ZM | Central | -13.11501 | 30.95071 | 0 | Africa/Lusaka | populated place | |||
| 915514 | Kakusa | ZM | Muchinga | -10.15 | 33.16667 | 0 | Africa/Lusaka | populated place | |||
| 910124 | Liume | ZM | Western | -15.9 | 22.65 | 0 | Africa/Lusaka | populated place | |||
| 897404 | Singomba | ZM | Southern | -16.7 | 27.4 | 0 | Africa/Lusaka | populated place | |||
| 905343 | Mufwinda | Chifwinda,Mufwinda | ZM | North-Western | -13.16667 | 24.05 | 0 | Africa/Lusaka | populated place | ||
| 919894 | Chikile | Chikele,Chikile | ZM | Muchinga | -11.56604 | 31.91475 | 0 | Africa/Lusaka | populated place | ||
| 907634 | Maptri | ZM | Eastern | -12.43333 | 33.45 | 0 | Africa/Lusaka | populated place | |||
| 175333 | Paolokapepula | Kapepula,Paolokapepula,Paulo | ZM | Northern | -8.45 | 30.1 | 0 | Africa/Lusaka | populated place | ||
| 909045 | Lusiyu | ZM | Western | -14.45 | 23.6 | 0 | Africa/Lusaka | populated place | |||
| 916933 | Ibhani | ZM | Eastern | -13.48333 | 32.75 | 0 | Africa/Lusaka | populated place | |||
| 910538 | Likanyika | ZM | North-Western | -13.78333 | 23.01667 | 0 | Africa/Lusaka | populated place | |||
| 904216 | Munkuli | ZM | Lusaka | -15.08333 | 29.56667 | 0 | Africa/Lusaka | populated place | |||
| 907912 | Mandalo | Mandalo,Mandalu | ZM | North-Western | -13.04268 | 22.65096 | 0 | Africa/Lusaka | populated place | ||
| 177571 | Chipalo | ZM | Northern | -8.9 | 31.5 | 0 | Africa/Lusaka | populated place | |||
| 905302 | Mujimbeji | ZM | North-Western | -12.16667 | 24.95 | 0 | Africa/Lusaka | populated place | |||
| 921557 | Anderson Mulawa | ZM | Western | -17 | 23.98333 | 0 | Africa/Lusaka | populated place | |||
| 903136 | Mwanachanga | ZM | Southern | -16.66667 | 27.75 | 0 | Africa/Lusaka | populated place | |||
| 918559 | Chipungo | ZM | Central | -13.18333 | 30.68333 | 0 | Africa/Lusaka | populated place | |||
| 176401 | Lubuli | Lubuli,Luwuli | ZM | Luapula | -9.96667 | 29.61667 | 0 | Africa/Lusaka | populated place | ||
| 910796 | Labwashi | ZM | Muchinga | -11.21667 | 31.2 | 0 | Africa/Lusaka | populated place | |||
| 918707 | Chipasula | ZM | Eastern | -12.35522 | 33.40412 | 0 | Africa/Lusaka | populated place | |||
| 898785 | Shamunungu | ZM | Southern | -15.73333 | 27.21667 | 0 | Africa/Lusaka | populated place | |||
| 903319 | Muyunda | ZM | Western | -15.41667 | 23 | 0 | Africa/Lusaka | populated place | |||
| 915467 | Kalabwe | Kalabwe,Karabwe,Karobwe | ZM | Copperbelt | -12.83333 | 27.36667 | 0 | Africa/Lusaka | populated place | ||
| 176952 | Kambole | ZM | Northern | -8.78333 | 30.76667 | 0 | Africa/Lusaka | populated place | |||
| 914987 | Kalukango | ZM | Western | -14.06667 | 23.21667 | 0 | Africa/Lusaka | populated place | |||
| 903322 | Muyumbana | ZM | Western | -15.08971 | 22.70446 | 0 | Africa/Lusaka | populated place | |||
| 904684 | Mulinda | Mulinda,Sam Mulinda | ZM | Eastern | -14.49485 | 31.2706 | 0 | Africa/Lusaka | populated place | ||
| 904735 | Mulilangombe | ZM | Eastern | -14.35 | 31.26667 | 0 | Africa/Lusaka | populated place | |||
| 905114 | Mukonka | ZM | Central | -13.68333 | 30.3 | 0 | Africa/Lusaka | populated place | |||
| 912536 | Kashatoka | ZM | Western | -15.13333 | 22.58333 | 0 | Africa/Lusaka | populated place | |||
| 915663 | Kakashe | ZM | Western | -14.71667 | 24.86667 | 0 | Africa/Lusaka | populated place | |||
| 907544 | Masapula | ZM | Central | -13.12109 | 30.60752 | 0 | Africa/Lusaka | populated place | |||
| 175828 | Mumpolokoso | Mporokoso,Mumpolokoso | ZM | Southern | -9.9 | 29.93333 | 0 | Africa/Lusaka | populated place | ||
| 901431 | Ndake | ZM | Eastern | -14.58333 | 30.9 | 0 | Africa/Lusaka | populated place | |||
| 911406 | Kayomba | Kayamba,Kayomba | ZM | North-Western | -12.6 | 25.86667 | 0 | Africa/Lusaka | populated place | ||
| 897598 | Simianga | ZM | Western | -15 | 24.41667 | 0 | Africa/Lusaka | populated place | |||
| 897456 | Sinazongwe | Sinasongwe,Sinazongwe | ZM | Southern | -17.2614 | 27.46179 | 11528 | Africa/Lusaka | populated place | ||
| 907405 | Matako | ZM | Western | -16.42367 | 24.99003 | 0 | Africa/Lusaka | populated place | |||
| 900017 | Nyundu | ZM | Western | -16.13333 | 24.86667 | 0 | Africa/Lusaka | populated place | |||
| 904304 | Munganya | ZM | Western | -14.93333 | 22.26667 | 0 | Africa/Lusaka | populated place | |||
| 908718 | Maamba | Maamba | ZM | Southern | -17.36667 | 27.15 | 12251 | Africa/Lusaka | populated place | ||
| 176527 | Kayowela | ZM | Northern | -8.96972 | 31.68965 | 0 | Africa/Lusaka | populated place | |||
| 898036 | Sikabowa | ZM | Western | -16.5634 | 24.80269 | 0 | Africa/Lusaka | populated place | |||
| 920106 | Chichili | ZM | Southern | -17.83333 | 25.86667 | 0 | Africa/Lusaka | populated place | |||
| 916040 | Kachapa | ZM | Eastern | -14.23333 | 31.4 | 0 | Africa/Lusaka | populated place | |||
| 905064 | Mukulisho | ZM | Western | -14.2 | 23.33333 | 0 | Africa/Lusaka | populated place | |||
| 905764 | Mpumba | Mpumba,Pumba | ZM | North-Western | -13.76069 | 23.22551 | 0 | Africa/Lusaka | populated place | ||
| 898185 | Siawaza | Siawasa,Siawaza | ZM | Southern | -17.73333 | 26.93333 | 0 | Africa/Lusaka | populated place |
Zambia in Layers: Mapping a Nation of Valleys, Plateaus, and Possibilities
The Geography Beneath the Surface
Zambia is not just a country you locate on a map—it’s a spatial narrative unfolding across the great plateau of Central Africa. As a geographer, Zambia has always called to me like a living, breathing topographic tale, waiting to be read not just in textbooks, but in terrain contours, city clusters, and administrative lines that have evolved through colonial pasts, independence, and demographic flux.
Behind every provincial capital and remote town lies a structure—one that links each urban area to a specific region and department, forming the backbone of how this nation functions spatially. That’s why I made it my mission to build a database that captures Zambia’s urban architecture with pinpoint accuracy and usable flexibility.
Cities With Context: Beyond the Names
Zambia’s cities cannot be understood in isolation. Kitwe isn’t just Kitwe—it’s part of the Copperbelt Province, embedded within a framework of administrative subdivisions that govern transport, education, and resource management. Whether you’re examining Mansa in Luapula or Mongu in Western Province, the value comes from understanding where they fit—regionally and departmentally.
Our dataset doesn’t just list cities; it roots them in their administrative homes. This clarity is essential for professionals conducting spatial analysis, aid logistics, market research, or government planning.
Latitude and Longitude: Anchoring Every Urban Node
Any serious geographic study of Zambia must move beyond generalities and drill down to specific coordinates. From border towns like Nakonde to lakeside communities on Tanganyika, latitude and longitude are the universal language of spatial science. Our data goes deep, offering exact positioning for every listed city and town—curated, cleaned, and organized to match the highest standards of geospatial integrity.
This isn’t recycled or scraped content—it’s built from the ground up for precision and utility.
Newly Added: Excel Format for Maximum Usability
And now, here’s the game-changer. We've just added Excel (.xlsx) format to our data suite—and yes, that’s worth celebrating. Why? Because Excel remains the most accessible, intuitive, and functional format for researchers, consultants, and field experts. It enables real-time filtering, sorting, graphing, and pivoting—all while maintaining data integrity.
No need to wrestle with code or export scripts. Open the spreadsheet and immediately get to work identifying towns in Southern Province or filtering all municipalities within Lusaka District. Excel brings the data to life in a tactile, human way—and for Zambia, that’s exactly what’s needed.
Available Formats for Every Kind of User
While Excel takes the spotlight, the full range of formats is still here for every user profile. Developers can work in JSON or XML, analysts can query SQL, and spreadsheet users now have both CSV and Excel at their disposal. The idea is to remove all barriers between you and the data you need—no matter how you choose to use it.
Zambia’s Changing Urban Landscape Demands Fresh Data
Zambia’s cities are in motion—economically, demographically, and spatially. New townships emerge, internal migration patterns shift, and infrastructure pushes deeper into rural corridors. Relying on outdated or incomplete datasets means missing out on these changes. Our database stays relevant, updated, and responsive to Zambia’s urban evolution.
Elevating Geography Into a Practical Tool
Zambia’s geography is not abstract—it shapes lives. Accurate data on cities, regions, and coordinates is essential for development projects, education access, health planning, and trade. With our comprehensive city data now also in Excel format, we’re offering not just a snapshot of the country, but a framework for understanding it—and acting on it.
Conclusion: A Country Worth Mapping, a Dataset Built to Deliver
To map Zambia is to engage with one of Africa’s most dynamic landscapes, where the built and natural environments constantly interact. With detailed information on every city’s region and department, complete latitude and longitude data, and now the versatility of Excel (.xlsx) alongside CSV, SQL, JSON, and XML, we’ve created a dataset that doesn’t just describe Zambia—it empowers you to explore it, use it, and build on it.
