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

Portugal
Portugal
Excel, CSV, SQL, XML, JSON

Last update : 15 February 2026.

Country
Portugal
Capital
Lisbon
Number of cities
16267
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Below is a list of 100 prominent cities in Portugal. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 16267 places in Portugal 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 Portugal is Lisbon.


Geoname_IDCityAlternate_NameCountry_CodeRegionSub_regionLatitudeLongitudeElevationPopulationTimezoneFcode_Name
2743007Alvações do TanhaPTVila RealPeso da Régua41.19162-7.743550Europe/Lisbonpopulated place
2265531Ninho de ÁguiaPTSantarémOurém39.71708-8.66847101Europe/Lisbonpopulated place
2267330JoinalPTFaroSilves37.23179-8.28460Europe/Lisbonpopulated place
2735457RandePTPortoFelgueiras41.33499-8.230610Europe/Lisbonpopulated place
2734339CoronadoCoronado,Sao Romao do Coronado,São Romão do CoronadoPTPortoTrofa41.28544-8.56328697Europe/Lisbonpopulated place
2741429CarrazedoPTAveiroSever do Vouga40.69237-8.332380Europe/Lisbonpopulated place
2736853PagadePTViana do CasteloVila Nova de Cerveira41.88372-8.6840Europe/Lisbonpopulated place
2261870ValongoPTCastelo BrancoSertã39.76833-8.158630Europe/Lisbonpopulated place
2734224SedielosPTVila RealPeso da Régua41.20281-7.86180Europe/Lisbonpopulated place
3372941Lapa de CimaPTAzoresVila do Porto36.95-25.033330Atlantic/Azorespopulated place
2743062AljuriçaPTCoimbraCantanhede40.32152-8.657260Europe/Lisbonpopulated place
2262119Vale de ParaísoPTMadeiraSanta Cruz32.66667-16.866670Atlantic/Madeirapopulated place
2741755CãisPTViana do CasteloValença42.01797-8.617110Europe/Lisbonpopulated place
8504582Poça CarvalhaPTBragaVila Verde41.74676-8.394984100Europe/Lisbonpopulated place
2262549TourisPTÉvoraEstremoz38.90726-7.534250Europe/Lisbonpopulated place
2743141Aldeia Nova do CaboPTCastelo BrancoFundão40.13291-7.532280Europe/Lisbonpopulated place
2270786BoisiasPTLeiriaCaldas da Rainha39.41074-9.056490Europe/Lisbonpopulated place
2735814Póvoa da VárzeaPTPorto41.05181-8.480780Europe/Lisbonpopulated place
2271803AlvarrõesPTLisbonAlenquer39.06793-9.021940Europe/Lisbonpopulated place
2738934GondiléuPTCoimbraCoimbra40.25949-8.403760Europe/Lisbonpopulated place
2265265PalhavãPTSantarémTomar39.60029-8.398140Europe/Lisbonpopulated place
2738376LavacolhosPTCastelo BrancoFundão40.13133-7.619260Europe/Lisbonpopulated place
2268360FamalicãoFamalicao,FamalicãoPTLeiriaNazaré39.53642-9.083081740Europe/Lisbonpopulated place
2266376MirandaPTBeja38.16381-8.321540Europe/Lisbonpopulated place
2270496CachofarraPTSetúbalSetúbal38.51251-8.858350Europe/Lisbonpopulated place
2265404OrjariçaPTLisbonTorres Vedras39.06312-9.235450Europe/Lisbonpopulated place
6559436Vila Nova De CacelaPTFaroVila Real de Santo António37.17391-7.531693902Europe/Lisbonpopulated place
2733527TorgalPTLeiriaCastanheira de Pêra40.01602-8.193070Europe/Lisbonpopulated place
2742648AssamassaPTCoimbraSoure40.0923-8.608890Europe/Lisbonpopulated place
2269775Casal da FontePTLeiriaFigueiró Dos Vinhos39.86948-8.245180Europe/Lisbonpopulated place
2271641AndreusPTSantarémSardoal39.55611-8.16550Europe/Lisbonpopulated place
2734792SanfinsPTVila RealChaves41.79412-7.250430Europe/Lisbonpopulated place
2734093SerafãoPTBragaFafe41.52957-8.203320Europe/Lisbonpopulated place
2267516GrossinhosPTLisbonMafra38.94022-9.351230Europe/Lisbonpopulated place
2735385RebordochãoPTVila RealVila Pouca de Aguiar41.54306-7.615070Europe/Lisbonpopulated place
2739438FontelaPTBragaGuimarães41.5091-8.238410Europe/Lisbonpopulated place
2741139Casal do RedinhoPTCoimbraSoure40.13835-8.636930Europe/Lisbonpopulated place
2737969MaltaPTBragançaMacedo de Cavaleiros41.48282-6.913620Europe/Lisbonpopulated place
2263900Ribeira da JanelaRibeira da JanelaPTMadeiraPorto Moniz32.84648-17.155460Atlantic/Madeirapopulated place
2733819SoutilhaPTBragançaVinhais41.72531-7.10230Europe/Lisbonpopulated place
2263383São Bento do ZambujalPTÉvoraRedondo38.67184-7.605980Europe/Lisbonpopulated place
2270064CarregueiroPTBejaAljustrel37.82197-8.103390Europe/Lisbonpopulated place
2267040LobataPTSantarémSardoal39.58241-8.161910Europe/Lisbonpopulated place
2269783Casal da ClaraPTLeiriaPombal39.93103-8.769550Europe/Lisbonpopulated place
2741449CarragosaPTBragançaBragança Municipality41.86594-6.80004190Europe/Lisbonpopulated place
2265806Montes NovosPTÉvoraAlandroal38.61405-7.449130Europe/Lisbonpopulated place
2737349MosteirinhoPTViseuViseu40.65131-7.995250Europe/Lisbonpopulated place
2262213Vale de CebolasPTSetúbalMontijo38.74369-8.560390Europe/Lisbonpopulated place
2739498FontãoPTCoimbraTábua40.24981-8.047120Europe/Lisbonpopulated place
2735592Quinta de Santo AmaroPTViseuMangualde40.59256-7.62750Europe/Lisbonpopulated place
2266523MecaPTLisbonAlenquer39.08178-9.034591719Europe/Lisbonpopulated place
2263457SantiaisPTLeiriaPombal39.81511-8.554540Europe/Lisbonpopulated place
2739937EscarizPTVila RealChaves41.66653-7.485350Europe/Lisbonpopulated place
2737153NogueiraPTViseuResende41.11581-7.899870Europe/Lisbonpopulated place
2737747MelcõesPTViseuLamego41.05042-7.817870Europe/Lisbonpopulated place
2272404A das CarreirasPTLisbonTorres Vedras39.06667-9.150Europe/Lisbonpopulated place
2734232Sebal GrandeSebal,Sebal GrandePTCoimbraCondeixa-A-Nova40.12007-8.53510Europe/Lisbonpopulated place
2738063MacieiraPTViseuSernancelhe40.98916-7.486140Europe/Lisbonpopulated place
2272162Alcaria do JoãoPTFaroLoulé37.24112-8.195050Europe/Lisbonpopulated place
3373262Cais do GalegoPTAzoresLajes do Pico38.43416-28.049620Atlantic/Azorespopulated place
2271517ArneirosPTLisbonTorres Vedras39.07417-9.225830Europe/Lisbonpopulated place
2736488PenaPTCoimbraGóis40.11077-8.135060Europe/Lisbonpopulated place
8199024Luz de TaviraPTFaroTavira37.0896-7.713950Europe/Lisbonpopulated place
2742310BeduidoPTAveiroAlbergaria-A-Velha40.62836-8.494060Europe/Lisbonpopulated place
2737143NogueiraPTViana do CasteloPonte de Lima41.79055-8.523010Europe/Lisbonpopulated place
2264157Quinta do EspinheiroPTÉvoraÉvora38.6-7.883330Europe/Lisbonpopulated place
2738914GongevaPTAveiro41.03333-8.483330Europe/Lisbonpopulated place
2742793ArcozeloPTViana do CasteloPonte de Lima41.79384-8.594160Europe/Lisbonpopulated place
3372613São FranciscoFrancisco das Almas,Sao Francisco,São FranciscoPTAzoresAngra do Heroísmo38.66667-27.266670Atlantic/Azorespopulated place
2261481ZambujeiroZambujeiroPTLisbonCascais38.74399-9.434840Europe/Lisbonpopulated place
2271445ArroteiaPTLeiriaLeiria39.85753-8.8322227Europe/Lisbonpopulated place
2264424Porto de Mouros de CimaPTBejaFerreira do Alentejo38.03333-8.333330Europe/Lisbonpopulated place
2741208CasalPTViana do CasteloArcos de Valdevez41.94328-8.456180Europe/Lisbonpopulated place
2267409Ilha do FarolPTFaroFaro36.97545-7.866090Europe/Lisbonpopulated place
2739875EspinheiroPTGuardaCelorico da Beira40.66033-7.410190Europe/Lisbonpopulated place
2265006PedrógãoPedrogao,PedrógãoPTBejaVidigueira38.11868-7.647820Europe/Lisbonpopulated place
2264292QuatrimPTFaroOlhão37.05506-7.81270Europe/Lisbonpopulated place
2732223ZambujalPTCoimbraCondeixa-A-Nova40.05587-8.445680Europe/Lisbonpopulated place
2735774Póvoa dos SobrinhosPTViseuViseu40.64828-7.872280Europe/Lisbonpopulated place
2266178Monte da CapelaPTPortalegreSousel38.9873-7.841960Europe/Lisbonpopulated place
2261743Vendas do RijoPTSantarémTomar39.63748-8.304490Europe/Lisbonpopulated place
2263353São Domingos de Ana LouraPTÉvoraBorba38.86692-7.497010Europe/Lisbonpopulated place
2734029SerzedoSerzedoPTPortoVila Nova de Gaia41.05105-8.616057891Europe/Lisbonpopulated place
3372615São CaetanoSao Caetano,São CaetanoPTAzoresMadalena38.43107-28.42730Atlantic/Azorespopulated place
2742002Brejas do BarcoPTCastelo BrancoOleiros40.05563-7.85420Europe/Lisbonpopulated place
2270436Caldas de MonchiqueCaldas de MonchiquePTFaroMonchique37.28562-8.557060Europe/Lisbonpopulated place
2738381LataPTCoimbraMiranda do Corvo40.16286-8.332690Europe/Lisbonpopulated place
2734429São MartinhoPTCoimbraGóis40.17872-8.094390Europe/Lisbonpopulated place
2742570AvilhosoPTPortoMatosinhos41.24896-8.70230Europe/Lisbonpopulated place
2733976SilveiraPTAveiroSever do Vouga40.67492-8.326260Europe/Lisbonpopulated place
3372612São JoãoSao Joao,São JoãoPTAzoresLajes do Pico38.41493-28.33960Atlantic/Azorespopulated place
2734687Santa Maria de ÉmeresPTVila RealValpaços41.54562-7.379570Europe/Lisbonpopulated place
2270244CansadosPTBejaAlmodôvar37.37853-8.093650Europe/Lisbonpopulated place
2743296AgudaAgudaPTPortoVila Nova de Gaia41.05223-8.6510Europe/Lisbonpopulated place
2739286FrazãoFrazao,FrazãoPTPortoPaços de Ferreira41.25866-8.400144314Europe/Lisbonpopulated place
2269569CassoariaPTLisbonAlenquer39.06816-9.057220Europe/Lisbonpopulated place
3411325Santa BárbaraPTAzoresPovoação37.75-25.250Atlantic/Azorespopulated place
2262439ValaPTFaroSilves37.15262-8.417290Europe/Lisbonpopulated place
2262626TorrãoTorran,ТорранPTSetúbalAlcácer do Sal38.29304-8.226610Europe/Lisbonpopulated place
2742611AveiroAbeiro,Aveiro,Avejru,ZAV,Αβέιρο,АвейруPTAveiroAveiro40.64427-8.6455454162Europe/Lisbonseat of a first-order administrative division

**Exploring Portugal: A Geographer's Perspective**

Introduction**

As a geographer delving into the intricate geography of Portugal, one unravels a tapestry of diverse landscapes, rich history, and vibrant culture. From the bustling cities of Lisbon and Porto to the tranquil villages of the Alentejo region, Portugal offers a captivating array of geographical features waiting to be explored. In this article, we embark on a journey to obtain data on the cities of Portugal, including their regions and departments, as well as the latitude and longitude coordinates of each city.

Unveiling the Urban Fabric**

Portugal's cities are not only centers of population and economic activity but also repositories of history and culture. From the ancient streets of Lisbon's Alfama district to the modern architecture of Porto's riverside, each city tells a unique story shaped by centuries of human interaction with the landscape. Obtaining data on the cities of Portugal allows us to understand their spatial distribution, population dynamics, and socioeconomic characteristics in greater detail.

Mapping Latitude and Longitude**

The latitude and longitude coordinates of Portugal's cities provide crucial spatial information for geographic analysis and mapping. From the northernmost city of Bragança to the southernmost city of Faro, these coordinates delineate the geographic extent of each city and its relationship to surrounding natural features and urban centers. By mapping latitude and longitude data, geographers can visualize spatial patterns, analyze geographic trends, and identify areas of interest for further research and exploration.

Exploring Regional Variation**

Portugal's diverse geography encompasses a range of natural landscapes, from the rugged mountains of the Serra da Estrela to the sun-drenched beaches of the Algarve. Each region has its own unique climate, vegetation, and land use patterns, influenced by factors such as altitude, proximity to the coast, and historical development. By obtaining data on the regions and departments of Portugal, geographers can explore the spatial distribution of these environmental characteristics and understand their implications for human settlement and economic activity.

Challenges and Opportunities**

Like all countries, Portugal faces a range of geographic challenges, from environmental sustainability to urban development and regional disparities. By obtaining data on the cities, regions, and departments of Portugal, geographers can contribute to evidence-based policymaking and planning, addressing issues such as land use management, transportation infrastructure, and environmental conservation. By understanding the geographic context of these challenges, policymakers can develop more effective strategies for sustainable development and inclusive growth.

Conclusion**

In conclusion, the geography of Portugal offers a fascinating lens through which to explore the complexities of human-environment interaction. By obtaining data on the cities, regions, and departments of Portugal, geographers can uncover valuable insights into the spatial patterns, processes, and dynamics that shape the country's landscapes and livelihoods. As stewards of Portugal's geographic heritage, it is our responsibility to use this knowledge to inform decision-making, promote sustainable development, and preserve the natural and cultural heritage of this remarkable country for future generations.

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

Exploring the Geography of Portugal: A Geographical and Data-Driven Perspective

Portugal, situated on the Iberian Peninsula in southwestern Europe, is a country of rich historical and geographical significance. From its stunning Atlantic coastline to the mountain ranges that define its interior, Portugal’s diverse landscape has shaped its culture, economy, and urban development. As a geographer, analyzing the distribution of cities, regions, and departments across the country provides crucial insights into the spatial dynamics of urban growth, regional development, and environmental management. By leveraging detailed geographic data, including latitude and longitude coordinates of cities and towns, it is possible to enhance our understanding of the country's geographic complexities and provide effective solutions for sustainable development.

The Administrative Structure of Portugal and Its Geographic Diversity

Portugal is divided into 18 administrative districts (distritos) and two autonomous regions, Madeira and Azores, each offering distinct geographic and cultural characteristics. Lisbon, the capital, is situated in the Lisbon District and serves as the heart of the country’s political and economic activities. Other major cities such as Porto, Faro, and Coimbra play critical roles in Portugal’s history, culture, and modern-day economy. The country’s regions range from coastal urban centers to rural interior areas, each with specific developmental and environmental challenges.

Portugal’s physical geography includes varied landscapes: the mountainous regions of the north, including the Serra da Estrela, the lush forests and rolling hills of the interior, and the vast plains of the Alentejo in the south. The coastal regions, particularly in the west and south, have historically been central to Portugal’s maritime activities, while the northern mountains and river valleys support agricultural activities. Understanding the relationship between urban settlements and their surrounding geography is essential for sustainable urbanization and regional planning across the country.

Latitude and Longitude: Mapping the Cities and Regions of Portugal

Latitude and longitude coordinates are indispensable tools for accurately mapping Portugal’s cities and regions. These geographic coordinates provide precise locations for major cities such as Lisbon, Porto, Braga, and Funchal, as well as for smaller towns across the country.

For example, obtaining the latitude and longitude of Lisbon allows researchers to analyze its proximity to the Atlantic Ocean, providing insight into its historical role as a global maritime power. Similarly, the coordinates of Porto can help examine its position relative to the Douro River, influencing its economic activities in wine production and trade. With accurate geographic data, it is possible to create detailed maps that highlight the connectivity between urban centers, transportation routes, and natural resources.

Furthermore, understanding the geographic location of cities in relation to Portugal’s environmental features, such as the mountainous regions in the north or the coastal zones in the south, helps urban planners manage issues like land use, population growth, and environmental sustainability. Latitude and longitude data also support disaster management efforts, particularly in assessing risks related to flooding or earthquakes, ensuring that local governments can plan accordingly.

The Importance of Accessible Geographic Data Formats

To ensure that geographic data is effectively used for research, analysis, and decision-making, it must be made available in formats that are compatible with a range of systems and tools. Offering geographic data for Portugal’s cities, regions, and departments in formats such as CSV, SQL, JSON, and XML ensures that the data can be integrated into diverse platforms for further analysis and practical application.

- **CSV (Comma-Separated Values):** CSV files are ideal for organizing geographic data in a simple, tabular format. They can store city names, population figures, latitude and longitude coordinates, and other essential attributes in a clear and easy-to-read structure. Researchers and planners can easily import CSV files into spreadsheet software or GIS systems to conduct basic analysis or visualize geographic trends.

- **SQL (Structured Query Language):** SQL is particularly useful for working with large datasets and performing advanced queries. By storing geographic data in relational databases, SQL enables users to run complex queries that can analyze urbanization patterns, track regional development, or compare population growth across different districts in Portugal. SQL’s capabilities allow for more sophisticated geographic analysis, making it a powerful tool for urban planning and resource management.

- **JSON (JavaScript Object Notation):** JSON is a lightweight and flexible data format commonly used for web applications and real-time data systems. Offering geographic data in JSON allows developers to create interactive maps or dynamic platforms that present live geographic information about Portugal’s cities and regions. JSON is especially well-suited for applications that require frequent updates or allow users to interact with the data in real time.

- **XML (Extensible Markup Language):** XML is a versatile format used to organize and exchange complex data structures. It is ideal for storing hierarchical geographic information, such as administrative divisions, environmental factors, and infrastructure networks. XML’s structured format makes it easy to share and integrate geographic data across different platforms and research systems.

By making geographic data available in these flexible formats, Portugal’s geographic information can be easily accessed and used by a wide range of stakeholders, including government agencies, urban planners, researchers, and developers. This accessibility fosters collaboration and enhances the ability to make data-driven decisions.

A Comprehensive Geographic Database for Portugal

A comprehensive geographic database for Portugal should include detailed information on the cities, regions, and departments, as well as key geographic features such as rivers, mountains, and coastlines. This database is essential for understanding how geographic features influence urban development, transportation networks, and resource management across the country.

For example, comparing the urban development of Lisbon with smaller cities in rural regions like Beja or Castelo Branco can provide insights into the challenges and opportunities for regional development. A geographic database allows for the analysis of factors such as infrastructure needs, population distribution, and the relationship between urban centers and surrounding natural resources.

Providing this data in flexible formats like CSV, SQL, JSON, and XML ensures that it can be easily integrated into various systems for research, planning, and decision-making. Whether used for tracking regional growth, managing natural resources, or assessing the impact of environmental policies, this data provides the foundation for effective and sustainable development in Portugal.

Conclusion

Portugal’s rich geographical diversity, from its bustling urban centers to its remote rural regions, presents both opportunities and challenges for urban planning, environmental conservation, and resource management. By obtaining accurate geographic data on the cities, regions, and departments—including latitude and longitude coordinates—geographers, urban planners, and policymakers can gain valuable insights into the spatial dynamics of the country. Offering this data in accessible formats such as CSV, SQL, JSON, and XML ensures that it is adaptable and useful for a wide range of applications, from research and infrastructure development to environmental conservation and disaster management. A data-driven approach to understanding Portugal’s geography supports informed decision-making, fosters sustainable development, and helps guide the country toward a balanced and prosperous future.

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