Mozambique 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 Mozambique, 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 22602 geographic locations across Mozambique.
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 Mozambique is Maputo.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1095486 | Chefe Cajé | MZ | Nampula | -16.45222 | 39.1 | 0 | Africa/Maputo | populated place | |||
| 1094095 | Régulo Mucuala | MZ | Nampula | -16.11167 | 39.66528 | 0 | Africa/Maputo | populated place | |||
| 1024095 | Régulo Messossomera | M’zozomera,M’zozomera,Regulo Messossomera,Régulo Messossomera,Zozomera | MZ | Niassa | -15.27167 | 35.85 | 0 | Africa/Maputo | populated place | ||
| 1097852 | Ghefe Guezane | MZ | Gaza | -24.42861 | 34.04167 | 0 | Africa/Maputo | populated place | |||
| 1044298 | Joséfa | MZ | Inhambane | -21.55333 | 34.93 | 0 | Africa/Maputo | populated place | |||
| 1088919 | Chaga | MZ | Niassa | -14.2025 | 37.43111 | 0 | Africa/Maputo | populated place | |||
| 1093647 | Chefe Chivere | MZ | Zambézia | -16.18417 | 38.32194 | 0 | Africa/Maputo | populated place | |||
| 1029359 | Ossufo | MZ | Nampula | -15.15667 | 40.40861 | 0 | Africa/Maputo | populated place | |||
| 1040963 | Manhunho | MZ | Niassa | -14.95222 | 35.93667 | 0 | Africa/Maputo | populated place | |||
| 1045586 | Gula | MZ | Cabo Delgado | -11.69083 | 39.78944 | 0 | Africa/Maputo | populated place | |||
| 1088882 | Puquina | MZ | Nampula | -14.28972 | 40.72222 | 0 | Africa/Maputo | populated place | |||
| 1026134 | Teene | MZ | Maputo Province | -24.75444 | 32.84444 | 0 | Africa/Maputo | populated place | |||
| 1088803 | Robene | MZ | Nampula | -14.39306 | 37.80917 | 0 | Africa/Maputo | populated place | |||
| 1029088 | Paqueli | MZ | Cabo Delgado | -11.45972 | 39.70028 | 0 | Africa/Maputo | populated place | |||
| 1088895 | MarcĂła | MZ | Nampula | -14.16778 | 38.93944 | 0 | Africa/Maputo | populated place | |||
| 1028184 | Raposo | MZ | -18.71667 | 35.41667 | 0 | Africa/Maputo | populated place | ||||
| 1035197 | Mutuze | MZ | Inhambane | -23.27528 | 34.39611 | 0 | Africa/Maputo | populated place | |||
| 1049732 | Chicoche | MZ | Inhambane | -23.13694 | 34.64528 | 0 | Africa/Maputo | populated place | |||
| 1041579 | Maláche | MZ | Nampula | -15.14222 | 37.77444 | 0 | Africa/Maputo | populated place | |||
| 1038031 | Metolola | MZ | Zambézia | -16.61 | 35.71722 | 0 | Africa/Maputo | populated place | |||
| 1044208 | Jussai | MZ | Inhambane | -21.98139 | 33.6075 | 0 | Africa/Maputo | populated place | |||
| 1038138 | Metembe | MZ | Sofala | -20.65583 | 34.54306 | 0 | Africa/Maputo | populated place | |||
| 1088098 | Chefe Comeia | MZ | Niassa | -14.35833 | 36.69083 | 0 | Africa/Maputo | populated place | |||
| 1029444 | Ofice | MZ | Inhambane | -24.07111 | 35.38722 | 0 | Africa/Maputo | populated place | |||
| 1028467 | Induna Simango | Induna Simango,Pussa | MZ | Gaza | -24.49056 | 33.84278 | 0 | Africa/Maputo | populated place | ||
| 1103170 | J. Gungule | MZ | Inhambane | -23.86111 | 35.15889 | 0 | Africa/Maputo | populated place | |||
| 1042992 | Mabumbute | MZ | Maputo Province | -25.43778 | 32.35722 | 0 | Africa/Maputo | populated place | |||
| 1052434 | Bastera | MZ | Manica | -18.92722 | 33.21194 | 0 | Africa/Maputo | populated place | |||
| 1097740 | Mapetule Picanisso | MZ | Inhambane | -24.39167 | 34.37417 | 0 | Africa/Maputo | populated place | |||
| 1092938 | Changudue | MZ | Tete | -16.27472 | 33.39667 | 0 | Africa/Maputo | populated place | |||
| 1048597 | Chitete | MZ | Cabo Delgado | -11.385 | 39.12444 | 0 | Africa/Maputo | populated place | |||
| 1047041 | Dique | MZ | Manica | -18.29361 | 33.29639 | 0 | Africa/Maputo | populated place | |||
| 1052206 | Bissée | MZ | Cabo Delgado | -12.5075 | 40.19889 | 0 | Africa/Maputo | populated place | |||
| 1048048 | Codobe | MZ | Sofala | -20.23861 | 33.86722 | 0 | Africa/Maputo | populated place | |||
| 1037436 | M’janje | MZ | Manica | -18.87722 | 33.57778 | 0 | Africa/Maputo | populated place | |||
| 1025394 | Paquete | Paquete,Uainda | MZ | Inhambane | -22.04111 | 34.41917 | 0 | Africa/Maputo | populated place | ||
| 1039481 | Mazimingi | MZ | -14.21667 | 40.56667 | 0 | Africa/Maputo | populated place | ||||
| 1094657 | Chefe Muhula | MZ | Zambézia | -16.57667 | 37.27778 | 0 | Africa/Maputo | populated place | |||
| 1036885 | Muacama | MZ | Niassa | -14.55028 | 37.0825 | 0 | Africa/Maputo | populated place | |||
| 1040859 | Manuel | MZ | Inhambane | -21.94944 | 33.48194 | 0 | Africa/Maputo | populated place | |||
| 1097959 | Xale | MZ | Gaza | -23.63306 | 32.99667 | 0 | Africa/Maputo | populated place | |||
| 1039032 | Megama | MZ | Nampula | -15.35056 | 39.88167 | 0 | Africa/Maputo | populated place | |||
| 1051481 | Camba | MZ | Sofala | -17.73611 | 35.26389 | 0 | Africa/Maputo | populated place | |||
| 1103900 | Andre | MZ | Maputo Province | -24.48861 | 32.24722 | 0 | Africa/Maputo | populated place | |||
| 1041320 | Maluzana | MZ | Manica | -20.89667 | 33.52083 | 0 | Africa/Maputo | populated place | |||
| 1049676 | Chiconelane | MZ | Gaza | -24.64972 | 33.69083 | 0 | Africa/Maputo | populated place | |||
| 1048381 | Choanhana | MZ | -25.08333 | 32.05 | 0 | Africa/Maputo | populated place | ||||
| 1025798 | Tomasse | MZ | Manica | -20.79333 | 33.3975 | 0 | Africa/Maputo | populated place | |||
| 1086181 | Chefe Mepota | MZ | Cabo Delgado | -13.98111 | 38.85083 | 0 | Africa/Maputo | populated place | |||
| 1035425 | Mussage | MZ | -18.3 | 36.66667 | 0 | Africa/Maputo | populated place | ||||
| 1035749 | Mundiane | MZ | Gaza | -24.81917 | 33.58306 | 0 | Africa/Maputo | populated place | |||
| 1106338 | Zintaba | MZ | Maputo Province | -25.76611 | 32.66444 | 0 | Africa/Maputo | populated place | |||
| 1048394 | Chizomba | Chixomba,Chizomba | MZ | Tete | -15.35639 | 31.53944 | 0 | Africa/Maputo | populated place | ||
| 1045633 | Guiducua | MZ | Inhambane | -23.42306 | 35.44278 | 0 | Africa/Maputo | populated place | |||
| 1040514 | Marigariga | MZ | -14.53333 | 40.66667 | 0 | Africa/Maputo | populated place | ||||
| 1036485 | Muchache | MZ | Manica | -19.99083 | 33.43472 | 0 | Africa/Maputo | populated place | |||
| 1025975 | Tica | MZ | Sofala | -19.22833 | 34.43444 | 0 | Africa/Maputo | populated place | |||
| 1038001 | Metolera | Metolera,Metotera | MZ | Niassa | -12.75611 | 35.64667 | 0 | Africa/Maputo | populated place | ||
| 1088375 | Namuale | MZ | Nampula | -14.79944 | 38.15556 | 0 | Africa/Maputo | populated place | |||
| 1104217 | Uanguana | MZ | Maputo Province | -24.41222 | 32.58972 | 0 | Africa/Maputo | populated place | |||
| 1046333 | G. Chivangue | Filipe,G. Chivangue | MZ | Inhambane | -24.57 | 34.54583 | 0 | Africa/Maputo | populated place | ||
| 1050780 | Catunguréne | Catunguene,Catungurene,Catunguréne | MZ | Manica | -17.11944 | 33.3 | 0 | Africa/Maputo | populated place | ||
| 1089701 | Chefe Chamissava | MZ | Maputo Province | -26.00806 | 32.545 | 0 | Africa/Maputo | populated place | |||
| 1048807 | Chiriro | MZ | Sofala | -20.4175 | 34.17 | 0 | Africa/Maputo | populated place | |||
| 1085911 | Ncoe | MZ | Cabo Delgado | -12.04333 | 39.96528 | 0 | Africa/Maputo | populated place | |||
| 1103021 | Luciane | MZ | Inhambane | -23.10694 | 34.34667 | 0 | Africa/Maputo | populated place | |||
| 1046466 | Faife | MZ | Manica | -20.52278 | 33.38556 | 0 | Africa/Maputo | populated place | |||
| 1088285 | Muecasita | MZ | Nampula | -14.27139 | 39.12667 | 0 | Africa/Maputo | populated place | |||
| 1052903 | Antabo | MZ | Nampula | -13.95222 | 40.5325 | 0 | Africa/Maputo | populated place | |||
| 1031151 | Nhamechengüè | MZ | Sofala | -18.30083 | 34.49639 | 0 | Africa/Maputo | populated place | |||
| 1044406 | Joia | MZ | Tete | -16.46056 | 33.02917 | 0 | Africa/Maputo | populated place | |||
| 1026740 | Sorié | MZ | Manica | -19.68833 | 33.05333 | 0 | Africa/Maputo | populated place | |||
| 1037049 | Morrua | MZ | Zambézia | -17.35778 | 37.91972 | 0 | Africa/Maputo | populated place | |||
| 1089168 | J. F. dos Santos | MZ | Nampula | -14.99722 | 40.5425 | 0 | Africa/Maputo | populated place | |||
| 1053023 | Ampara | Ampara,Amparo | MZ | Sofala | -20.26639 | 34.65611 | 0 | Africa/Maputo | populated place | ||
| 1025341 | Uampuela | MZ | Nampula | -14.91222 | 37.86111 | 0 | Africa/Maputo | populated place | |||
| 1086084 | Mecuia | MZ | Cabo Delgado | -13.10972 | 38.9975 | 0 | Africa/Maputo | populated place | |||
| 1028817 | Pesseoa | Pesseca,Pesseoa | MZ | Zambézia | -18.22667 | 35.98806 | 0 | Africa/Maputo | populated place | ||
| 1086554 | Muape | MZ | Cabo Delgado | -13.31444 | 38.75556 | 0 | Africa/Maputo | populated place | |||
| 1053352 | Abudo | MZ | Nampula | -14.46028 | 40.64472 | 0 | Africa/Maputo | populated place | |||
| 1099183 | Cat. Feiticista | MZ | Gaza | -24.56528 | 34.29944 | 0 | Africa/Maputo | populated place | |||
| 1088029 | Mualapa | MZ | Niassa | -14.61389 | 36.94167 | 0 | Africa/Maputo | populated place | |||
| 1024626 | Vórré iua | MZ | Niassa | -14.58111 | 37.00583 | 0 | Africa/Maputo | populated place | |||
| 1097307 | Armazén | MZ | Gaza | -24.40694 | 33.29194 | 0 | Africa/Maputo | populated place | |||
| 1029206 | PanachĂŞngua | MZ | Niassa | -15.38111 | 35.91028 | 0 | Africa/Maputo | populated place | |||
| 1100457 | Amela | MZ | Inhambane | -22.16333 | 35.22472 | 0 | Africa/Maputo | populated place | |||
| 1085181 | Calambo | MZ | Cabo Delgado | -11.99806 | 39.89583 | 0 | Africa/Maputo | populated place | |||
| 1024431 | Xiose | MZ | Maputo Province | -25.53333 | 32.31667 | 0 | Africa/Maputo | populated place | |||
| 1040467 | Marques | MZ | Maputo Province | -26 | 32.56667 | 0 | Africa/Maputo | populated place | |||
| 1027712 | Saiela | Saela,Saiela | MZ | Inhambane | -22.79167 | 34.92583 | 0 | Africa/Maputo | populated place | ||
| 1084972 | Wina | MZ | Cabo Delgado | -10.95778 | 39.82472 | 0 | Africa/Maputo | populated place | |||
| 1043499 | Londo | MZ | Niassa | -11.94583 | 35.065 | 0 | Africa/Maputo | populated place | |||
| 1027951 | Ronda | MZ | Zambézia | -17.61389 | 37.16583 | 0 | Africa/Maputo | populated place | |||
| 1032167 | Nenca | MZ | Sofala | -18.14722 | 35.72056 | 0 | Africa/Maputo | populated place | |||
| 1035820 | Muligudje | Muligudge,Muligudje | MZ | Zambézia | -16.49333 | 38.95083 | 0 | Africa/Maputo | populated place | ||
| 1086839 | Cabo Moria | MZ | Nampula | -13.98694 | 40.44444 | 0 | Africa/Maputo | populated place | |||
| 1097940 | Jeque Zingane | MZ | Inhambane | -24.41778 | 34.26528 | 0 | Africa/Maputo | populated place | |||
| 1041010 | Manhelacule | MZ | Inhambane | -21.26333 | 34.77611 | 0 | Africa/Maputo | populated place | |||
| 1052294 | Besserro | Bessero,Besserro,Besséro | MZ | Manica | -17.1075 | 33.66139 | 0 | Africa/Maputo | populated place | ||
| 1026266 | Tchafuco | MZ | Tete | -15.81667 | 33.0475 | 0 | Africa/Maputo | populated place |
Mozambique: Charting the Vastness of a Land Bridging Continents and Oceans
A Geography of Diversity and Depth
Mozambique is a land of contrasts—vast savannas, dense forests, sprawling coastline, and vibrant urban centers. Stretching along the southeastern edge of Africa, it serves as a vital corridor between the continent's interior and the Indian Ocean. For a geographer, Mozambique offers a captivating study of how physical landscapes and human settlements interact over a vast and often challenging terrain.
Yet, despite its significance, structured and detailed geographic data on Mozambican cities remains fragmented and hard to access. To truly understand Mozambique's spatial dynamics, one needs a precise, comprehensive dataset that ties cities to their administrative regions and departments while providing exact geographic coordinates.
Understanding Mozambique’s Administrative Landscape
Mozambique’s administrative structure is organized into provinces, districts, and localities. These divisions form the backbone of governance, development planning, and resource distribution. Each city or town plays a role within this framework, influencing and influenced by its provincial and district context.
This dataset respects and reflects these administrative boundaries. Every urban center is accurately linked to its province and district, providing clarity and precision crucial for regional development projects, demographic analysis, and policy-making.
Latitude and Longitude: Grounding Data in Real Space
In a country as large and diverse as Mozambique, exact location data is indispensable. Latitude and longitude coordinates for each city allow for integration into Geographic Information Systems (GIS), enabling precise spatial analysis. This is vital for infrastructure development, environmental monitoring, disaster management, and logistics.
Each coordinate in the dataset has been carefully verified to ensure accuracy, offering a dependable foundation for users who require spatial precision.
Excel: The Format Bridging Data and Decision
Among the various formats available—CSV, SQL, JSON, XML—the addition of Excel (.xlsx) transforms usability. Excel is universally accessible and intuitive, allowing users to filter, sort, and analyze the dataset with ease, regardless of their technical background.
This format enables planners to compare cities across provinces, researchers to quickly identify spatial patterns, and administrators to generate detailed reports without specialized software. Its clean structure and clear organization make it the ideal entry point for actionable geographic data.
What the Dataset Provides
* A complete inventory of Mozambican cities and towns
* Classification by province and district
* Accurate latitude and longitude coordinates
* Available in Excel (.xlsx), CSV, SQL, JSON, and XML formats
Why Mozambique’s Development Depends on Reliable Geographic Data
Mozambique faces complex challenges: rapid urbanization, infrastructure deficits, environmental vulnerabilities, and socio-economic disparities. Effective responses require accurate geographic information to guide decision-making, resource allocation, and impact assessment.
This dataset fills a critical gap by offering detailed, structured, and precise city-level data aligned with Mozambique’s administrative realities—empowering stakeholders across sectors to plan and act with confidence.
Mapping Mozambique’s Living Geography
Mozambique is more than a map of provinces—it is a dynamic network of communities, economies, and environments interconnected across terrain and time. From Maputo’s coastal metropolis to remote inland towns, each city tells a story that deserves to be mapped accurately and meaningfully.
With this dataset, especially through its enhanced Excel format, Mozambique’s geography becomes clearer and more accessible—transforming raw data into a powerful tool for understanding, planning, and fostering sustainable development.
