Mozambique cities list with latitude and longitude in Excel, CSV, XML, SQL, JSON formats

Mozambique
Mozambique
Excel, CSV, SQL, XML, JSON

Last update : 20 January 2026.

Country
Mozambique
Capital
Maputo
Number of cities
22602
Download
Click here

Below is a list of 100 prominent cities in Mozambique. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 22602 places in Mozambique that you'll find in our World Cities Database. You're free to use the data below for personal or commercial applications. The data below can be downloaded in Excel (.xlsx), .csv, .json, .xml and .sql formats. Notable Cities: The capital of Mozambique is Maputo.


Geoname_IDCityAlternate_NameCountry_CodeRegionSub_regionLatitudeLongitudeElevationPopulationTimezoneFcode_Name
1046073GàtouMZMaputo Province-25.3272232.279170Africa/Maputopopulated place
1044502JoãoMZInhambane-23.4088935.340830Africa/Maputopopulated place
1100803ZefaniaMZInhambane-22.8494435.390Africa/Maputopopulated place
1095844ItupaMZNampula-16.6233339.421670Africa/Maputopopulated place
1100900AlfiadoMZInhambane-22.6097235.178330Africa/Maputopopulated place
1104252WabaudlaMZGaza-23.7708333.385830Africa/Maputopopulated place
1030320NhassuzoNhassuxo,NhassuzoMZ-1632.250Africa/Maputopopulated place
1085562MafambiceMafambice,MafambisseMZSofala-19.5491734.624440Africa/Maputopopulated place
1043125LuziveveMZ-25.5166732.233330Africa/Maputopopulated place
1085648Aldeia NgongoteMZNiassa-13.0419435.277780Africa/Maputopopulated place
1045687GuelicheMZ-21.4333333.516670Africa/Maputopopulated place
1101879ArmandoMZInhambane-23.0055634.828060Africa/Maputopopulated place
1105421UassetelaMZInhambane-21.6638934.678610Africa/Maputopopulated place
1049751ChichucoMZMaputo Province-25.1222232.584170Africa/Maputopopulated place
1026304TaulelaMZNampula-13.9591740.196670Africa/Maputopopulated place
1088407MauaMZNampula-14.7208337.665830Africa/Maputopopulated place
1046370FernandoMZNampula-15.1383340.150280Africa/Maputopopulated place
1093216ColocossaMZZambézia-16.12535.433060Africa/Maputopopulated place
1088763MucueperMZNampula-14.3369438.357220Africa/Maputopopulated place
1101538Cabo MarrúcuaMZInhambane-23.2055635.166940Africa/Maputopopulated place
1100852ChacateMZInhambane-22.7105635.421940Africa/Maputopopulated place
1101533Cabo GuimerecoMZInhambane-24.0955635.263330Africa/Maputopopulated place
1048535ChituiMZTete-17.2308335.204170Africa/Maputopopulated place
1097886Chefe MufucueMZGaza-24.6238933.248610Africa/Maputopopulated place
1042003MafussiMafusse,MafussiMZManica-20.1841733.001390Africa/Maputopopulated place
1100586LacidaMZInhambane-22.7486135.053610Africa/Maputopopulated place
1102791Cabo VembaneMZInhambane-23.7613935.188890Africa/Maputopopulated place
1035168MuxambaMZManica-19.5655633.307780Africa/Maputopopulated place
1049410ChiiuananeMZInhambane-21.8086134.119440Africa/Maputopopulated place
1034864NaciaiMZZambézia-17.2694437.091390Africa/Maputopopulated place
1092469NipichaMZZambézia-15.1013937.165560Africa/Maputopopulated place
1024825ValiuléqueMZNampula-15.46538.473890Africa/Maputopopulated place
1086702NeteloMZCabo Delgado-13.5344438.355560Africa/Maputopopulated place
1025514TuquelelaMZNampula-15.9961139.712780Africa/Maputopopulated place
1099291Angelo PaulinoMZGaza-24.5586134.108330Africa/Maputopopulated place
1098179SambulaMZGaza-22.392531.861110Africa/Maputopopulated place
1101870SemendaMZInhambane-23.1577834.955830Africa/Maputopopulated place
1044739JancauMZCabo Delgado-13.7527838.625560Africa/Maputopopulated place
1050285ChapengaMZSofala-17.5766735.073060Africa/Maputopopulated place
1042361MacubelaMZMaputo Province-25.7661132.050280Africa/Maputopopulated place
1041885MagoudaMZInhambane-21.6122235.023610Africa/Maputopopulated place
1050982CarrogaMZZambézia-17.3630637.521670Africa/Maputopopulated place
1088802MepaquiuaMZNampula-14.4486137.821670Africa/Maputopopulated place
1104281DiqueMZInhambane-22.7263934.933610Africa/Maputopopulated place
1097312JudasMZGaza-23.1352832.504720Africa/Maputopopulated place
1047865Praia de CondúciaConducia,Condúcia,Praia de Conducia,Praia de CondúciaMZNampula-14.9440.739170Africa/Maputopopulated place
1024262ZatavaMZZambézia-17.227537.748060Africa/Maputopopulated place
1024728VicaVicaMZManica-20.4036132.899170Africa/Maputopopulated place
1027612SalaliMZTete-15.1044430.919720Africa/Maputopopulated place
1027229SataneMZInhambane-21.8834.758330Africa/Maputopopulated place
1086773Cabo NamexequeliaMZNampula-13.6916739.936940Africa/Maputopopulated place
1093307MelungoseMZZambézia-16.1635.706940Africa/Maputopopulated place
1047446CuncaCunca,CunqueMZNampula-15.372539.482220Africa/Maputopopulated place
1034079NamarripaMZCabo Delgado-12.5619439.490280Africa/Maputopopulated place
1101071FabiãoMZInhambane-22.4983335.446670Africa/Maputopopulated place
1039949MateusMZSofala-20.6313933.821670Africa/Maputopopulated place
1102121JemisseniMZInhambane-23.0858334.649170Africa/Maputopopulated place
1086870NaeueMZNampula-13.7761139.808610Africa/Maputopopulated place
1102081LucasMZInhambane-23.032534.54750Africa/Maputopopulated place
1096345Aldeia MorondeMZManica-18.5313933.040830Africa/Maputopopulated place
1032027NeveveMZNampula-15.5608339.850560Africa/Maputopopulated place
1089228Zeferino PaísMZNampula-14.9266740.160Africa/Maputopopulated place
1025078UmburoMZTete-14.8555631.726940Africa/Maputopopulated place
1094243Chefe NelaxeMZNampula-16.0511139.474440Africa/Maputopopulated place
1096819TendobateMZGaza-24.2144433.236670Africa/Maputopopulated place
1035442MussaMZCabo Delgado-13.2263938.972780Africa/Maputopopulated place
1088387LimaMZNampula-14.662539.291670Africa/Maputopopulated place
1098278ArmazémMZGaza-24.7419433.304440Africa/Maputopopulated place
1041934MagineMZInhambane-21.3441734.931940Africa/Maputopopulated place
1050976CarvalhoMZSofala-18.1430635.450280Africa/Maputopopulated place
1052739AssuateMZNampula-14.8036139.961940Africa/Maputopopulated place
1040966ManhumboMZSofala-20.433.701940Africa/Maputopopulated place
1053175AlifaneMZNampula-15.0447240.576940Africa/Maputopopulated place
1047681CruzadoMZSofala-18.7088934.640830Africa/Maputopopulated place
1090089UanalateMZMaputo Province-25.3269432.754720Africa/Maputopopulated place
1040846ManuiceMZSofala-21.0969434.7050Africa/Maputopopulated place
1086605MingaMZTete-14.6783331.344440Africa/Maputopopulated place
1089350Aldeia MifumbeMZTete-15.6263933.244170Africa/Maputopopulated place
1035910MuitelaMZNiassa-11.5736138.11750Africa/Maputopopulated place
1041881MagrasseMZSofala-17.1066734.679720Africa/Maputopopulated place
1025821TocuaMZZambézia-15.8972237.813060Africa/Maputopopulated place
1026257TchanjaMZCabo Delgado-12.1644440.009170Africa/Maputopopulated place
1038680MepomboMepombe,MepomboMZManica-20.462533.308330Africa/Maputopopulated place
1046562EstacatiraMZManica-19.1841733.545560Africa/Maputopopulated place
1105042JoséMZInhambane-22.0797234.797780Africa/Maputopopulated place
1027247SardinhaMZ-17.3166735.266670Africa/Maputopopulated place
1027170SecundanheMZSofala-20.8211134.418060Africa/Maputopopulated place
1101677RolamentoMZInhambane-23.7538934.945560Africa/Maputopopulated place
1030735NhandoMZNiassa-13.272535.347220Africa/Maputopopulated place
1052536BandulaMZManica-19.0116733.143330Africa/Maputopopulated place
1095628FortesMZZambézia-17.2905635.349170Africa/Maputopopulated place
1038592MéqueMZManica-18.1066733.081110Africa/Maputopopulated place
1047428CúpiMZZambézia-15.4030636.907780Africa/Maputopopulated place
1086163Vila VerdeMZNiassa-13.7366737.345280Africa/Maputopopulated place
1052878AntónioMZZambézia-17.1611136.941670Africa/Maputopopulated place
1047427CupiraMZTete-16.9505634.856390Africa/Maputopopulated place
1104025SambucaneMZInhambane-21.3334.605560Africa/Maputopopulated place
1027835RupiaMZNampula-13.6905640.533060Africa/Maputopopulated place
1087264MetotaMZCabo Delgado-13.3472238.561670Africa/Maputopopulated place
1040258MasseananMassacane,Massassane,MasseananMZGaza-23.9808333.309720Africa/Maputopopulated place

**Exploring Mozambique: Unveiling the Geographical Tapestry**

Introduction**

Welcome to Mozambique, a country of vast landscapes, rich cultural heritage, and promising potential. As a geographer embarking on a journey to unravel the intricacies of this diverse nation, we will delve into the data of Mozambique's cities, regions, and departments, while uncovering the latitude and longitude coordinates of each urban center.

Unveiling Mozambique's Geographical Diversity**

Mozambique is a land of stunning contrasts, where the Indian Ocean kisses its eastern shores, the Zambezi River winds through its heartland, and the lush plains of the north give way to the arid landscapes of the south. This geographical diversity shapes the country's climate, ecosystems, and human settlements, painting a vivid tapestry of Mozambican landscapes.

Mapping the Urban Landscape**

Our exploration begins in Maputo, the vibrant capital city nestled along the shores of Maputo Bay. From here, we'll journey to other urban centers such as Beira, Nampula, and Quelimane, each with its own unique character and significance. By mapping out the regions and departments that encompass these cities, we gain a deeper understanding of Mozambique's administrative divisions and urban morphology.

Tracing Coordinates: Latitude and Longitude**

Armed with our geographic tools, we'll navigate Mozambique's diverse terrain using latitude and longitude coordinates as our guiding star. From the bustling streets of Maputo to the remote villages of the Niassa Province, these geographical markers will help us pinpoint the exact locations of Mozambique's urban centers and rural communities, facilitating our exploration of the country's spatial dynamics.

Interpreting Geographic Data**

Our journey through Mozambique yields valuable data that provides insights into various aspects of the country's geography. By analyzing the distribution of cities and regions, we can discern patterns of urbanization, population density, and economic activity. Moreover, we'll examine how Mozambique's geography influences factors such as agriculture, transportation, and natural resource management, shaping the livelihoods of its inhabitants.

Challenges and Opportunities**

While Mozambique boasts immense potential for development and growth, it also faces a range of challenges, including poverty, climate change, and infrastructure deficits. However, these challenges are accompanied by opportunities for sustainable development, environmental conservation, and social progress. Through initiatives such as the National Spatial Development Strategy and the Climate Resilient Infrastructure Development Facility, Mozambique is working towards a brighter and more resilient future.

Conclusion**

In conclusion, our journey through Mozambique has been an enlightening exploration of its geography and culture. By obtaining data on the country's cities and regions and interpreting this information through a geographic lens, we gain valuable insights into its spatial organization and developmental prospects. As we continue to unravel the geographical mysteries of Mozambique, we are reminded of the importance of stewardship and sustainability in shaping its future trajectory.

download world databases cities Mozambique

Download data files for Mozambique's cities in Excel (.xlsx), CSV, SQL, XML and JSON formats

Discovering Mozambique’s Geography: A Data-Driven Perspective

Mozambique, a country located along the southeastern coast of Africa, offers a rich and diverse geographical landscape. From its expansive coastline along the Indian Ocean to the rugged mountains of the interior, Mozambique’s terrain is as varied as its culture and history. For geographers, understanding the spatial organization of Mozambique’s cities, regions, and departments is essential to analyzing its urban development, resource distribution, and environmental challenges. Access to comprehensive and accurate geographic data is crucial for these analyses, helping to drive more effective decision-making in sectors ranging from urban planning to disaster management.

The Geographical Layout of Mozambique

Mozambique is divided into 11 provinces and one capital city, Maputo, which is the economic and political center of the country. The provinces, such as Niassa, Zambezia, and Tete, vary greatly in terms of their geographical features. Some provinces are located in the coastal lowlands, while others extend into the interior with more mountainous regions and river basins. Each of these regions has its own unique demographic, economic, and environmental profile, shaped by both geography and historical factors.

The cities of Mozambique, including Maputo, Beira, and Nampula, are central hubs of activity, while rural areas focus on agriculture and resource extraction. The challenge of balancing urban growth with rural development is one of the key geographical concerns in the country. For a complete understanding of Mozambique’s development and challenges, researchers need detailed data about the locations of cities, their surrounding regions, and their administrative boundaries.

Latitude and Longitude: Essential Tools for Mapping Cities in Mozambique

Latitude and longitude coordinates serve as the cornerstone of any geographic analysis. These geographic coordinates are necessary for accurately locating and mapping the cities of Mozambique and understanding their spatial relationships within the broader context of the country’s topography. By obtaining precise latitude and longitude data for cities like Maputo, Beira, and Quelimane, geographers can develop accurate maps, track urban expansion, and assess the effects of environmental factors on human settlements.

With the coordinates for each city, it becomes possible to analyze proximity to major rivers, like the Zambezi, or the Indian Ocean coast. Such data helps map how natural features such as rivers, mountains, and coastlines influence the distribution of urban areas, infrastructure, and resources. It also supports the analysis of issues such as flood risk, coastal erosion, and environmental degradation, which are increasingly important considerations as the country faces the challenges of climate change.

Flexibility of Geographic Data Formats

For geographic data to be fully useful, it needs to be accessible in a variety of formats that cater to different tools and applications. Providing geographic data in formats such as CSV, SQL, JSON, and XML allows users to easily manipulate and analyze the data across various platforms, whether for simple mapping exercises or complex spatial analyses.

- **CSV (Comma-Separated Values):** CSV files are one of the simplest and most widely used formats for organizing geographic data. They allow for easy sorting and organization of city names, populations, and coordinates, and are compatible with various data analysis tools and mapping software. Researchers can quickly import this data into spreadsheets or GIS platforms for visualization and analysis.

- **SQL (Structured Query Language):** For handling larger datasets, SQL is a powerful format. It allows researchers to query geographic data stored in relational databases and perform complex spatial analyses. SQL is ideal for conducting in-depth studies, such as analyzing the growth of urban areas or assessing the relationship between geographic features and population distribution across Mozambique.

- **JSON (JavaScript Object Notation):** JSON is a flexible and lightweight format, especially useful for web-based applications. It facilitates the exchange of data between platforms and is widely used in creating interactive maps and real-time applications. Researchers and developers can use JSON to integrate geographic data into digital tools that allow for dynamic exploration of Mozambique’s cities and regions.

- **XML (Extensible Markup Language):** XML is a versatile format for storing and sharing structured data. It supports both human-readable and machine-readable data, making it ideal for sharing geographic data across different systems, from governmental databases to GIS platforms. XML’s adaptability ensures that it can be used in a wide range of research and analysis applications.

Providing geographic data in these formats allows users to access, integrate, and manipulate the information in the most efficient way possible. Whether for basic mapping, advanced analysis, or interactive web applications, these formats ensure that the data can be used across different platforms and tools.

A Comprehensive Database for Mozambique’s Geography

For anyone interested in studying Mozambique’s geography, having access to a comprehensive and well-organized database is essential. A database that includes detailed information on the cities, regions, and departments of Mozambique, along with their latitude and longitude coordinates, provides the foundation for a wide range of geographic analyses.

Researchers can use such a database to study urbanization trends, assess the impact of climate change, and plan for future infrastructure development. For example, data from cities along the coast, such as Maputo and Beira, can be analyzed to assess the impact of sea-level rise and extreme weather events, while inland cities can be studied for their agricultural potential and resource distribution.

With a complete set of data on city locations, regions, and administrative divisions, users can track population growth, plan for the expansion of transportation networks, and analyze regional disparities. The availability of data in formats like CSV, SQL, JSON, and XML ensures that the information can be easily integrated into various research projects, GIS systems, or planning tools.

Conclusion

Mozambique’s geography, with its diverse landscapes and regions, presents a complex and fascinating area for study. The country’s urbanization patterns, environmental challenges, and infrastructure needs are deeply influenced by its geography. Accessing accurate, up-to-date geographic data on Mozambique’s cities, regions, and departments—including latitude and longitude coordinates—allows researchers to gain valuable insights into the country’s development. By providing this data in flexible formats like CSV, SQL, JSON, and XML, it becomes accessible and adaptable to a wide range of research, planning, and analysis applications. This data-driven approach helps to promote more sustainable development, informed policy-making, and a deeper understanding of Mozambique’s geography.

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