Malawi 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 Malawi, 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 7873 geographic locations across Malawi.
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 Malawi is Lilongwe.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 12182880 | Mtuta | Mtuta | MW | Central Region | Kasungu District | -12.80922 | 33.31343 | 0 | Africa/Blantyre | populated place | |
| 931568 | Chagwambala | Chagwambala | MW | Northern Region | Chitipa District | -10.24585 | 33.69668 | 0 | Africa/Blantyre | populated place | |
| 12182882 | Matondo | Matondo | MW | Central Region | Kasungu District | -12.83703 | 33.32109 | 0 | Africa/Blantyre | populated place | |
| 924901 | Ngombende | Ngombende | MW | Central Region | Dowa District | -13.56468 | 33.91771 | 0 | Africa/Blantyre | populated place | |
| 929382 | Kagaso | MW | Southern Region | Zomba District | -15.48333 | 35.3 | 0 | Africa/Blantyre | populated place | ||
| 926399 | Mlauzi | Mlauzi | MW | Central Region | Kasungu District | -12.81378 | 33.4828 | 0 | Africa/Blantyre | populated place | |
| 926869 | Mbewa | MW | Central Region | Lilongwe District | -13.50614 | 33.44329 | 0 | Africa/Blantyre | populated place | ||
| 12170018 | Mwenengolongo | Mwenengolongo | MW | Northern Region | Karonga District | -9.65216 | 33.81227 | 0 | Africa/Blantyre | populated place | |
| 931177 | Chigwere | Chigwere | MW | Northern Region | Nkhata Bay District | -11.36009 | 34.15445 | 0 | Africa/Blantyre | populated place | |
| 924148 | Pisawene | MW | Central Region | Salima District | -13.85 | 34.25 | 0 | Africa/Blantyre | populated place | ||
| 931494 | Chambamkuya | MW | Central Region | Ntchisi District | -13.4 | 34.06667 | 0 | Africa/Blantyre | populated place | ||
| 12182262 | Humbu | Humbu | MW | Northern Region | Karonga District | -10.43951 | 34.18087 | 0 | Africa/Blantyre | populated place | |
| 928669 | Kapyokolo | Kapyokola,Kapyokolo | MW | Central Region | Kasungu District | -12.58842 | 33.36448 | 0 | Africa/Blantyre | populated place | |
| 11774432 | Nyambo Zimba | Nyambo Zimba | MW | Northern Region | Mzimba District | -11.7121 | 33.44514 | 0 | Africa/Blantyre | populated place | |
| 12169962 | Amon Musukwa | Amon Musukwa | MW | Northern Region | Chitipa District | -9.69124 | 33.55543 | 0 | Africa/Blantyre | populated place | |
| 929814 | GalĂ´va | MW | Southern Region | Mwanza District | -15.6481 | 34.43383 | 0 | Africa/Blantyre | populated place | ||
| 931861 | Balala | MW | Southern Region | Chikwawa District | -16.45 | 34.95 | 0 | Africa/Blantyre | populated place | ||
| 12182754 | Makuwila Nkhata | Makuwila Nkhata | MW | Northern Region | Mzimba District | -12.46877 | 33.86001 | 0 | Africa/Blantyre | populated place | |
| 931210 | Chigamba | MW | Central Region | Dowa District | -13.69252 | 34.11833 | 0 | Africa/Blantyre | populated place | ||
| 12170195 | Mwamasapa | Mwamasapa | MW | Northern Region | Karonga District | -9.94951 | 33.79954 | 0 | Africa/Blantyre | populated place | |
| 929336 | Kakhomwa | MW | Central Region | Salima District | -13.83333 | 34.35 | 0 | Africa/Blantyre | populated place | ||
| 12170232 | Nchowo | Nchowo | MW | Northern Region | Karonga District | -9.85299 | 33.88676 | 0 | Africa/Blantyre | populated place | |
| 925062 | Ncimbo | MW | Southern Region | Machinga District | -14.63333 | 35.58333 | 0 | Africa/Blantyre | populated place | ||
| 927481 | Makho | MW | Central Region | Salima District | -13.46277 | 34.35382 | 0 | Africa/Blantyre | populated place | ||
| 12170215 | Mwanyesya | Mwanyesya | MW | Northern Region | Karonga District | -9.95002 | 33.80532 | 0 | Africa/Blantyre | populated place | |
| 927812 | Longwe | Longwe | MW | Northern Region | Nkhata Bay District | -11.776 | 34.22861 | 0 | Africa/Blantyre | populated place | |
| 926573 | Misango | Misango | MW | Central Region | Dowa District | -13.71981 | 33.88083 | 0 | Africa/Blantyre | populated place | |
| 929693 | Heta | MW | Central Region | Nkhotakota District | -12.21667 | 33.93333 | 0 | Africa/Blantyre | populated place | ||
| 12170345 | Chilongo | Chilongo | MW | Northern Region | Chitipa District | -10.12089 | 33.69719 | 0 | Africa/Blantyre | populated place | |
| 12185468 | Mlambuzi | Mlambuzi | MW | Central Region | Lilongwe District | -13.70715 | 33.66124 | 0 | Africa/Blantyre | populated place | |
| 930597 | Chipusile | MW | Central Region | Ntcheu District | -14.8064 | 34.5837 | 0 | Africa/Blantyre | populated place | ||
| 927094 | Masula | MW | Central Region | Lilongwe District | -14.08336 | 33.38221 | 0 | Africa/Blantyre | populated place | ||
| 931543 | Chakuwala | Chakuwala,Chakuwara | MW | Central Region | Mchinji District | -13.71514 | 33.15031 | 0 | Africa/Blantyre | populated place | |
| 12182677 | Isaac Ngoyi | Isaac Ngoyi | MW | Northern Region | Mzimba District | -12.00311 | 33.58037 | 0 | Africa/Blantyre | populated place | |
| 923344 | Zayuka | MW | Northern Region | Nkhata Bay District | -11.73333 | 34.21667 | 0 | Africa/Blantyre | populated place | ||
| 12177557 | Chozoli | Chozoli | MW | Northern Region | Rumphi District | -11.00459 | 33.79861 | 0 | Africa/Blantyre | populated place | |
| 923869 | Sitonya | Sitonya | MW | Central Region | Kasungu District | -12.80602 | 33.37223 | 0 | Africa/Blantyre | populated place | |
| 12169927 | Chiwunga | Chiwunga | MW | Northern Region | Chitipa District | -9.7621 | 33.52994 | 0 | Africa/Blantyre | populated place | |
| 928386 | Kauma | MW | Central Region | Mchinji District | -13.61667 | 33.21667 | 0 | Africa/Blantyre | populated place | ||
| 12182884 | Lackson Chirwa | Lackson Chirwa | MW | Central Region | Kasungu District | -12.86099 | 33.33173 | 0 | Africa/Blantyre | populated place | |
| 12169934 | Mutikafundi | Mutikafundi | MW | Northern Region | Chitipa District | -9.84384 | 33.51277 | 0 | Africa/Blantyre | populated place | |
| 12183253 | Kasakula | Kasakula | MW | Central Region | Mchinji District | -13.41752 | 33.1235 | 0 | Africa/Blantyre | populated place | |
| 12177797 | Mkhuzo Jere | Mkhuzo Jere | MW | Northern Region | Mzimba District | -11.85602 | 33.3343 | 0 | Africa/Blantyre | populated place | |
| 927028 | Matosa | MW | Southern Region | Mangochi District | -14.56313 | 35.34956 | 0 | Africa/Blantyre | populated place | ||
| 931577 | Chafumbwa | Capuhkwa,Chafumbwa | MW | Central Region | Dedza District | -14.37353 | 33.93973 | 0 | Africa/Blantyre | populated place | |
| 12183497 | Chikuta | Chikuta | MW | Central Region | Ntchisi District | -13.23525 | 33.77096 | 0 | Africa/Blantyre | populated place | |
| 12182621 | Chafisi | Chafisi | MW | Northern Region | Mzimba District | -12.27546 | 33.49275 | 0 | Africa/Blantyre | populated place | |
| 12170630 | Janakazi | Janakazi | MW | Northern Region | Rumphi District | -10.98173 | 33.58292 | 0 | Africa/Blantyre | populated place | |
| 926788 | Mbwana | MW | Southern Region | Zomba District | -15.45 | 35.28333 | 0 | Africa/Blantyre | populated place | ||
| 923587 | Tsankanga | Tsankanga | MW | Central Region | Dowa District | -13.477 | 33.59018 | 0 | Africa/Blantyre | populated place | |
| 925972 | Msuta | MW | Central Region | Salima District | -13.76667 | 34.41667 | 0 | Africa/Blantyre | populated place | ||
| 931893 | Ambale Phaso | MW | Central Region | Nkhotakota District | -12.57998 | 34.17015 | 0 | Africa/Blantyre | populated place | ||
| 12177666 | Barton Juba | Barton Juba | MW | Northern Region | Mzimba District | -11.34883 | 33.86098 | 0 | Africa/Blantyre | populated place | |
| 928607 | Kasembe | MW | Southern Region | Zomba District | -15.4 | 35.33333 | 0 | Africa/Blantyre | populated place | ||
| 928193 | Kodikila | MW | Central Region | Dowa District | -13.68333 | 34.1 | 0 | Africa/Blantyre | populated place | ||
| 12182781 | Kanjerenjere | Kanjerenjere | MW | Central Region | Kasungu District | -12.64501 | 33.29508 | 0 | Africa/Blantyre | populated place | |
| 12185028 | Kadimba | Kadimba | MW | Central Region | Mchinji District | -13.69707 | 33.08076 | 0 | Africa/Blantyre | populated place | |
| 12185065 | Chipuothika | Chipuothika | MW | Central Region | Mchinji District | -13.72848 | 33.21887 | 0 | Africa/Blantyre | populated place | |
| 929276 | Kalembela | MW | Central Region | Dedza District | -14.37411 | 34.21778 | 0 | Africa/Blantyre | populated place | ||
| 12183409 | Mphero | Mphero | MW | Central Region | Kasungu District | -13.17056 | 33.67715 | 0 | Africa/Blantyre | populated place | |
| 930377 | Chivina | MW | Northern Region | Nkhata Bay District | -11.06627 | 34.21847 | 0 | Africa/Blantyre | populated place | ||
| 929185 | Kaluwila | MW | Central Region | Lilongwe District | -13.68333 | 33.71667 | 0 | Africa/Blantyre | populated place | ||
| 12177789 | Kangaba Mhoni | Kangaba Mhoni | MW | Northern Region | Mzimba District | -11.45398 | 33.99297 | 0 | Africa/Blantyre | populated place | |
| 931607 | Cavwelema | MW | Central Region | Kasungu District | -12.8 | 33.68333 | 0 | Africa/Blantyre | populated place | ||
| 12185078 | Dyuku | Dyuku | MW | Central Region | Kasungu District | -13.56828 | 33.28463 | 0 | Africa/Blantyre | populated place | |
| 930807 | Chingalande | Chingalande | MW | Central Region | Dowa District | -13.71492 | 33.50597 | 0 | Africa/Blantyre | populated place | |
| 12183411 | Kachemera | Kachemera | MW | Central Region | Kasungu District | -13.12607 | 33.7104 | 0 | Africa/Blantyre | populated place | |
| 924429 | Ntondo | MW | Southern Region | Nsanje District | -16.66667 | 35.21667 | 0 | Africa/Blantyre | populated place | ||
| 929888 | Emfeni | MW | Northern Region | Mzimba District | -12.58942 | 33.58777 | 0 | Africa/Blantyre | populated place | ||
| 930661 | Chiphaso | Chipaso,Chiphaso | MW | Central Region | Kasungu District | -13.06289 | 33.51373 | 0 | Africa/Blantyre | populated place | |
| 12177993 | Muthusani Hara | Muthusani Hara | MW | Northern Region | Mzimba District | -11.51025 | 33.62716 | 0 | Africa/Blantyre | populated place | |
| 926686 | Mgada | MW | Central Region | Salima District | -13.81667 | 34.33333 | 0 | Africa/Blantyre | populated place | ||
| 12182293 | Mudoka | Mudoka | MW | Northern Region | Karonga District | -10.28396 | 34.17393 | 0 | Africa/Blantyre | populated place | |
| 926791 | Mbwabwa | MW | Southern Region | Machinga District | -14.6 | 35.63333 | 0 | Africa/Blantyre | populated place | ||
| 928057 | Lambwe | MW | Central Region | Lilongwe District | -14.13049 | 33.34813 | 0 | Africa/Blantyre | populated place | ||
| 12181932 | Nkhata | MW | Central Region | Lilongwe District | -13.99486 | 33.43259 | 0 | Africa/Blantyre | populated place | ||
| 931747 | Bokosi Hunga | Bokosi Hunga,Bokosi Kunga | MW | Northern Region | Mzimba District | -11.9903 | 33.68364 | 0 | Africa/Blantyre | populated place | |
| 927513 | Makala | MW | Southern Region | Blantyre District | -15.61609 | 35.0922 | 0 | Africa/Blantyre | populated place | ||
| 929794 | Gharo | MW | Northern Region | Rumphi District | -11 | 34.25 | 0 | Africa/Blantyre | populated place | ||
| 928234 | Khomera | MW | Central Region | Ntcheu District | -14.81667 | 34.8 | 0 | Africa/Blantyre | populated place | ||
| 929537 | Kabapha | Kabapha | MW | Central Region | Kasungu District | -13.10194 | 33.39754 | 0 | Africa/Blantyre | populated place | |
| 931164 | Chikanda | MW | Central Region | Salima District | -13.91667 | 34.46667 | 0 | Africa/Blantyre | populated place | ||
| 929887 | Emoneni | Emoneni | MW | Northern Region | Mzimba District | -11.65075 | 33.67048 | 0 | Africa/Blantyre | populated place | |
| 931418 | Chaonanjiwa | MW | Southern Region | Chikwawa District | -16.41667 | 34.76667 | 0 | Africa/Blantyre | populated place | ||
| 12169697 | Kayirizi | Kayirizi | MW | Northern Region | Chitipa District | -9.97949 | 33.42511 | 0 | Africa/Blantyre | populated place | |
| 11775782 | Mwenichinga | Mwenichinga | MW | Northern Region | Chitipa District | -9.59112 | 33.41277 | 0 | Africa/Blantyre | populated place | |
| 929889 | Emchisweni | Emchisweni,Emcisweni | MW | Northern Region | Mzimba District | -11.28838 | 33.61198 | 0 | Africa/Blantyre | populated place | |
| 931483 | Chambwe | MW | Central Region | Lilongwe District | -13.55 | 33.43333 | 0 | Africa/Blantyre | populated place | ||
| 923731 | Tengani | MW | Southern Region | Nsanje District | -16.73333 | 35.26667 | 0 | Africa/Blantyre | populated place | ||
| 927862 | Livaro | MW | Central Region | Ntcheu District | -14.82254 | 34.81079 | 0 | Africa/Blantyre | populated place | ||
| 923541 | Tyaka | MW | Southern Region | Machinga District | -14.8 | 35.28333 | 0 | Africa/Blantyre | populated place | ||
| 11205023 | Chiwembe | MW | Southern Region | Blantyre District | -15.83437 | 35.05087 | 0 | Africa/Blantyre | populated place | ||
| 12182654 | Mboto Phiri | Mboto Phiri | MW | Northern Region | Mzimba District | -12.2363 | 33.56869 | 0 | Africa/Blantyre | populated place | |
| 928291 | Kayeya | Kayeya | MW | Central Region | Kasungu District | -13.02295 | 33.68302 | 0 | Africa/Blantyre | populated place | |
| 930780 | Ching’ombe | Ching’ombe,Chingombe,Ching’ombe | MW | Central Region | Ntchisi District | -13.11739 | 33.82035 | 0 | Africa/Blantyre | populated place | |
| 930137 | Cipeta | MW | Northern Region | Mzimba District | -12.68333 | 33.66667 | 0 | Africa/Blantyre | populated place | ||
| 12181974 | Muzayani | MW | Central Region | Lilongwe District | -14.12952 | 33.38301 | 0 | Africa/Blantyre | populated place | ||
| 926992 | Mavwanje | MW | Central Region | Kasungu District | -12.88333 | 33.46667 | 0 | Africa/Blantyre | populated place | ||
| 924906 | Ngombe | MW | Central Region | Lilongwe District | -14.2 | 33.66667 | 0 | Africa/Blantyre | populated place | ||
| 930645 | Chipeta | MW | Southern Region | Zomba District | -15.45 | 35.28333 | 0 | Africa/Blantyre | populated place |
Malawi: Mapping the Warm Heart of Africa with Precision
A Landscape of Lakes, Elevation, and Settlement Patterns
Malawi is not a country you merely study—it’s one you feel. Its contours stretch along Lake Malawi like a ribbon of geography and history intertwined, bordered by highlands, river valleys, and a patchwork of rural communities that hold together a nation of surprising complexity. As a geographer, there are few places that ignite the analytical and emotional faculties quite like Malawi does.
To truly grasp Malawi’s spatial identity, we must look beyond its capital Lilongwe or its well-trodden tourist corridors. The essence of this country lies in the distribution of its towns and villages, their relationship to regional capitals, and their placement within the three distinct administrative regions—Northern, Central, and Southern. But until now, accessing this kind of structured, city-level geographic data was a frustrating endeavor.
Filling the Data Void with Structured Intelligence
Many global databases treat Malawi as a blank space dotted with only a handful of cities. That’s not just misleading—it’s dangerous for researchers, planners, NGOs, and businesses who rely on spatial clarity to make decisions.
This is why I created a comprehensive and accurate dataset dedicated to the cities and towns of Malawi. Every entry is labeled with its corresponding region and departmental division, giving the user not only location but context. Whether you're studying demographic shifts in Mchinji or agricultural patterns around Phalombe, this data provides the structure you’ve been missing.
Administrative Organization Rooted in Local Reality
Malawi’s administrative system is composed of regions, subdivided into districts, each with its own role in governance, development, and public service delivery. My dataset respects this structure fully. Each city and town is categorized under its official region and district, providing a reliable framework for spatial analysis at any scale.
And this structure isn’t just theoretical—it’s operational. Development aid, infrastructure projects, and public health initiatives often depend on understanding precisely where administrative responsibilities lie. This dataset helps you act with geographic confidence.
Coordinates that Anchor the Map to Reality
Geography isn’t complete without precision. That’s why every city in the dataset comes with exact latitude and longitude values. This geospatial layer transforms the dataset from a static list into a dynamic tool—ready for GIS software, location-based analysis, logistics planning, and environmental modeling.
This level of accuracy is especially critical in a country like Malawi, where road access, elevation, and distance to water bodies vary widely. Reliable coordinates empower you to model not just where people live—but how they live, move, and connect.
The New Era of Excel: Intuitive, Reliable, Ready
Among the available formats—CSV, SQL, JSON, XML—Excel (.xlsx) is the format I now emphasize most. It’s not an afterthought. Excel is where the data comes to life for many users. It’s the perfect tool for quick filtering, comparative sorting, and analytical overviews. You can cross-reference districts, trace regional trends, or create custom visualizations—all from a familiar interface.
The Excel version of this dataset is designed for immediacy: no formatting issues, no redundant fields, no hidden traps—just clean, clear, structured data ready for deployment.
What the Dataset Contains
* Complete list of Malawi’s cities and towns
* Each classified by region and district
* Latitude and longitude coordinates for every entry
* Available in Excel (.xlsx), CSV, SQL, JSON, and XML formats
Why Malawi Demands Cartographic Precision
In a country where rurality dominates but urbanization is accelerating, knowing where people are is not enough—you must know how their locations function within the wider administrative and geographic systems. This data serves government actors, private sector planners, humanitarian responders, and anyone who needs to understand the true spatial makeup of Malawi.
Without accurate city-level data, plans become estimates, and estimates become errors. This dataset corrects that.
The True Map of Malawi Is in the Details
When you understand where Chitipa sits in relation to Karonga, or how Zomba functions as a secondary urban hub despite its modest size, you begin to grasp Malawi’s spatial character. It’s in these subtleties—these coordinates, these administrative designations—that the real story of Malawi unfolds.
And now, with this refined, Excel-centered dataset, that story is fully available to be explored, modeled, and respected—finally, as it should be.
