Portugal cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 10 December 2024.
This is the best list of 16267 cities in the Portugal available in 4 formats ( CSV, Json, SQL, XML ). We have cleaned up the Geoname database to leave only the towns, capitals and villages. All are all associated with regions and sub-regions (where available).
Each file contains the following data: Geoname_ID, City, Alternate_Name, Country_Code, Region, Sub_region, Latitude, Longitude, Elevation, Population, Timezone, Fcode_Name. See the FAQ below for a detailed explanation.
Here is an example of the data from the Portugal file that you are going to retrieve. The data is displayed here in the form of a table:
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
2267672 | Gaviãosinho | PT | Castelo Branco | Castelo Branco | 39.74997 | -7.73198 | 0 | Europe/Lisbon | populated place | ||
2262729 | Telhadas | PT | Santarém | Ferreira do Zêzere | 39.74744 | -8.35839 | 0 | Europe/Lisbon | populated place | ||
2270741 | Borreco | PT | Santarém | Torres Novas | 39.44253 | -8.59763 | 109 | Europe/Lisbon | populated place | ||
2740521 | Cortecega | PT | Coimbra | Góis | 40.13776 | -8.1047 | 0 | Europe/Lisbon | populated place | ||
2741364 | Carvalha Furada | PT | Viana do Castelo | Melgaço | 42.08927 | -8.25923 | 0 | Europe/Lisbon | populated place | ||
2268592 | Engenho | PT | Leiria | Marinha Grande | 39.76351 | -8.93435 | 0 | Europe/Lisbon | populated place | ||
2270531 | Cabo Raso | PT | Lisbon | 38.7 | -9.48333 | 0 | Europe/Lisbon | populated place | |||
2265404 | Orjariça | PT | Lisbon | Torres Vedras | 39.06312 | -9.23545 | 0 | Europe/Lisbon | populated place | ||
2737903 | Marinhas | PT | Viana do Castelo | Caminha | 41.87972 | -8.80459 | 0 | Europe/Lisbon | populated place | ||
2263288 | São Marcos da Abóbada | PT | Évora | Évora | 38.43944 | -7.89941 | 0 | Europe/Lisbon | populated place | ||
2739645 | Ferreiró | PT | Porto | Maia | 41.2736 | -8.60083 | 0 | Europe/Lisbon | populated place | ||
2741178 | Casal de Arão | PT | Aveiro | Vale de Cambra | 40.83812 | -8.36315 | 0 | Europe/Lisbon | populated place | ||
2733946 | Sobradelo | PT | Vila Real | Boticas | 41.64178 | -7.62501 | 0 | Europe/Lisbon | populated place | ||
2743413 | Açores | PT | Guarda | Celorico da Beira | 40.64544 | -7.30513 | 0 | Europe/Lisbon | populated place | ||
2735260 | Rendufe | PT | Braga | Guimarães | 41.47894 | -8.23359 | 0 | Europe/Lisbon | populated place | ||
2736623 | Passô | PT | Viseu | Viseu | 40.73886 | -7.9159 | 0 | Europe/Lisbon | populated place | ||
2265998 | Monte do Dom João | PT | Portalegre | Sousel | 38.90802 | -7.838 | 0 | Europe/Lisbon | populated place | ||
2733735 | Susão | Susao,Susão,Suzao,Suzão | PT | Porto | Valongo | 41.20363 | -8.50306 | 0 | Europe/Lisbon | populated place | |
2734160 | Senande | PT | Viana do Castelo | Caminha | 41.86415 | -8.8405 | 0 | Europe/Lisbon | populated place | ||
2736545 | Pedreira | PT | Viana do Castelo | Viana do Castelo | 41.77545 | -8.8468 | 0 | Europe/Lisbon | populated place | ||
2264672 | Pipeira | PT | Évora | Alandroal | 38.69035 | -7.38786 | 0 | Europe/Lisbon | populated place | ||
2261486 | Zambujeira do Mar | Zambujeira do Mar | PT | Beja | Odemira | 37.52799 | -8.78483 | 2011 | Europe/Lisbon | populated place | |
2734121 | Senhor da Arieira | PT | Coimbra | Figueira da Foz | 40.16667 | -8.85 | 0 | Europe/Lisbon | populated place | ||
2736460 | Penamaior | Penamaior | PT | Porto | Paços de Ferreira | 41.29004 | -8.41487 | 0 | Europe/Lisbon | populated place | |
2265972 | Monte do Pigeiro | PT | Évora | Alandroal | 38.61618 | -7.3834 | 0 | Europe/Lisbon | populated place | ||
2741982 | Broalhos | PT | Porto | Gondomar | 41.07502 | -8.46379 | 0 | Europe/Lisbon | populated place | ||
2266967 | Louriceira | PT | Santarém | Mação | 39.61172 | -8.09432 | 0 | Europe/Lisbon | populated place | ||
3373365 | Além | PT | Azores | Angra do Heroísmo | 38.68333 | -27.25 | 0 | Atlantic/Azores | populated place | ||
2735623 | Quinta da Estrada | PT | Guarda | Aguiar da Beira | 40.8349 | -7.56273 | 0 | Europe/Lisbon | populated place | ||
2262632 | Torneiro | PT | Faro | Alcoutim | 37.43467 | -7.49688 | 0 | Europe/Lisbon | populated place | ||
2735869 | Pousa Foles | PT | Viana do Castelo | 42.10534 | -8.18757 | 0 | Europe/Lisbon | populated place | |||
2736039 | Ponte Fora | PT | Viseu | Oliveira de Frades | 40.70099 | -8.21187 | 0 | Europe/Lisbon | populated place | ||
2733777 | Souto de Megide | PT | Porto | Vila Nova de Gaia | 41.08333 | -8.6 | 0 | Europe/Lisbon | populated place | ||
2262824 | Soudes | PT | Faro | Alcoutim | 37.38607 | -7.61817 | 0 | Europe/Lisbon | populated place | ||
2271510 | Aroeira | PT | Faro | Castro Marim | 37.20124 | -7.50568 | 0 | Europe/Lisbon | populated place | ||
2739557 | Filhagosa | PT | Vila Real | Vila Pouca de Aguiar | 41.50096 | -7.56585 | 0 | Europe/Lisbon | populated place | ||
2267494 | Guerreiros de Cima | PT | Lisbon | Loures | 38.84589 | -9.20061 | 0 | Europe/Lisbon | populated place | ||
2267493 | Guerreiros do Rio | Guerreiras do Rio,Guerreiros do Rio | PT | Faro | Alcoutim | 37.3993 | -7.4475 | 0 | Europe/Lisbon | populated place | |
2270252 | Cano | PT | Faro | Monchique | 37.29955 | -8.58124 | 0 | Europe/Lisbon | populated place | ||
2738677 | Izeda | Izeda | PT | Bragança | Bragança Municipality | 41.5683 | -6.72017 | 0 | Europe/Lisbon | populated place | |
2266024 | Monte de Vérigo | PT | Leiria | Pombal | 39.95394 | -8.57971 | 0 | Europe/Lisbon | populated place | ||
2736187 | Pinheiros | PT | Viseu | Tabuaço | 41.10285 | -7.61138 | 0 | Europe/Lisbon | populated place | ||
2267801 | Furadouro | PT | Leiria | Ansião | 39.88821 | -8.37305 | 0 | Europe/Lisbon | populated place | ||
2264159 | Quinta do Castilho | PT | Santarém | Santarém | 39.32028 | -8.62148 | 0 | Europe/Lisbon | populated place | ||
2740089 | Duas Igrejas | Duas Igrejas | PT | Porto | Penafiel | 41.18744 | -8.26934 | 0 | Europe/Lisbon | populated place | |
2269120 | Comenda | PT | Santarém | Chamusca | 39.29023 | -8.53903 | 0 | Europe/Lisbon | populated place | ||
2266978 | Lourel de Cima | PT | Lisbon | Sintra | 38.81195 | -9.36962 | 0 | Europe/Lisbon | populated place | ||
2735030 | Rojão Pequeno | PT | Viseu | Santa Comba Dão | 40.36945 | -8.11215 | 0 | Europe/Lisbon | populated place | ||
2736983 | Ourozinho | PT | Viseu | Penedono | 40.95734 | -7.35309 | 0 | Europe/Lisbon | populated place | ||
2742998 | Alvarelhos | Alvarelhos | PT | Porto | Trofa | 41.31266 | -8.61112 | 0 | Europe/Lisbon | populated place | |
2738779 | Guardão | PT | Viseu | Tondela | 40.57577 | -8.15453 | 0 | Europe/Lisbon | populated place | ||
2738186 | Loureiro | PT | Coimbra | Tábua | 40.35012 | -7.90403 | 0 | Europe/Lisbon | populated place | ||
2270111 | Carrascal | PT | Santarém | Mação | 39.72253 | -7.98049 | 0 | Europe/Lisbon | populated place | ||
2270854 | Biscaia | PT | Lisbon | Cascais | 38.76024 | -9.47172 | 0 | Europe/Lisbon | populated place | ||
2735384 | Rebordochão | PT | Braga | Terras de Bouro | 41.69368 | -8.24713 | 0 | Europe/Lisbon | populated place | ||
2733827 | Soutelo | PT | Vila Real | Chaves | 41.75603 | -7.5343 | 0 | Europe/Lisbon | populated place | ||
2737232 | Muxagata | PT | Guarda | Vila Nova de Foz Côa | 41.03647 | -7.16802 | 0 | Europe/Lisbon | populated place | ||
2264888 | Peral do Meio | PT | Évora | Arraiolos | 38.80102 | -8.09663 | 0 | Europe/Lisbon | populated place | ||
2266705 | Marinha do Engenho | PT | Leiria | Leiria | 39.89467 | -8.79867 | 0 | Europe/Lisbon | populated place | ||
2270942 | Benafim Pequeno | PT | Faro | Loulé | 37.23803 | -8.13466 | 0 | Europe/Lisbon | populated place | ||
2267364 | Jardim Pelado | PT | Madeira | Calheta | 32.73333 | -17.2 | 0 | Atlantic/Madeira | populated place | ||
2741771 | Cadimas | PT | Viseu | Viseu | 40.6763 | -7.77987 | 0 | Europe/Lisbon | populated place | ||
2737746 | Meles | PT | Bragança | Macedo de Cavaleiros | 41.61642 | -7.05769 | 0 | Europe/Lisbon | populated place | ||
2732508 | Vilar | PT | Viseu | Castro Daire | 40.94117 | -7.92255 | 0 | Europe/Lisbon | populated place | ||
2268777 | Cumeada | PT | Santarém | Abrantes | 39.47679 | -8.08608 | 0 | Europe/Lisbon | populated place | ||
2734658 | Santão | PT | Porto | Felgueiras | 41.31279 | -8.18222 | 0 | Europe/Lisbon | populated place | ||
2268005 | Fornalha | PT | Faro | Tavira | 37.20505 | -7.71907 | 0 | Europe/Lisbon | populated place | ||
2271261 | Bacholinhos | PT | Castelo Branco | Castelo Branco | 39.85 | -7.38333 | 0 | Europe/Lisbon | populated place | ||
2737386 | Moreiras | PT | Vila Real | Valpaços | 41.7723 | -7.26508 | 0 | Europe/Lisbon | populated place | ||
2735027 | Romão | PT | Aveiro | Arouca | 40.95393 | -8.41621 | 0 | Europe/Lisbon | populated place | ||
2267634 | Godigana | PT | Lisbon | Sintra | 38.85953 | -9.37214 | 0 | Europe/Lisbon | populated place | ||
2737662 | Mindelo | Mindelo | PT | Porto | Vila do Conde | 41.31527 | -8.72124 | 3491 | Europe/Lisbon | populated place | |
2740637 | Coimbra | CBP,Coimbra,Coímbra,Coïmbra,Koimbra,Koimbro,Koimpra,Koímbra,ke ying bu la,koinbura,Κόιμπρα,Коимбра,コインブラ,科英布拉 | PT | Coimbra | Coimbra | 40.20564 | -8.41955 | 106582 | Europe/Lisbon | seat of a first-order administrative division | |
2735298 | Reguengo | PT | Aveiro | Sever do Vouga | 40.72936 | -8.38483 | 0 | Europe/Lisbon | populated place | ||
2733242 | Valcerto | PT | Bragança | Mogadouro | 41.43448 | -6.58489 | 0 | Europe/Lisbon | populated place | ||
2267495 | Guerreiro | PT | Beja | Castro Verde | 37.67138 | -7.8865 | 0 | Europe/Lisbon | populated place | ||
2269948 | Carvoeira | PT | Santarém | Ourém | 39.71561 | -8.54475 | 729 | Europe/Lisbon | populated place | ||
2271831 | Alto da Cerca | PT | Faro | Lagos | 37.11621 | -8.69821 | 0 | Europe/Lisbon | populated place | ||
2740843 | Cernadas | PT | Viana do Castelo | Monção | 42.01667 | -8.38333 | 0 | Europe/Lisbon | populated place | ||
2262132 | Vale de Mouros | PT | Santarém | Coruche | 38.95579 | -8.43113 | 0 | Europe/Lisbon | populated place | ||
2738825 | Granja do Tedo | PT | Viseu | Tabuaço | 41.06733 | -7.61387 | 0 | Europe/Lisbon | populated place | ||
2737382 | Morgade | PT | Vila Real | Montalegre | 41.75269 | -7.7474 | 0 | Europe/Lisbon | populated place | ||
2267279 | Juromenha | Juromenha | PT | Évora | Alandroal | 38.74038 | -7.23957 | 0 | Europe/Lisbon | populated place | |
2741154 | Casal do Cimeiro | PT | Coimbra | Soure | 40.15855 | -8.59696 | 0 | Europe/Lisbon | populated place | ||
2734256 | Sarrape | PT | Viana do Castelo | Caminha | 41.81388 | -8.83233 | 0 | Europe/Lisbon | populated place | ||
2742870 | Anta | PT | Coimbra | Figueira da Foz | 40.16667 | -8.75 | 0 | Europe/Lisbon | populated place | ||
2740968 | Castrovicente | PT | Bragança | Mogadouro | 41.3796 | -6.83901 | 0 | Europe/Lisbon | populated place | ||
2738979 | Goes | PT | Viana do Castelo | Ponte da Barca | 41.78333 | -8.38333 | 0 | Europe/Lisbon | populated place | ||
3372589 | São Roque do Pico | San Roque,San-Roke-du-Piku,Sao Roque,Sao Roque do Pico,São Roque,São Roque do Pico,Сан-Роке-ду-Пику | PT | Azores | São Roque do Pico | 38.51631 | -28.30752 | 3705 | Atlantic/Azores | populated place | |
2266088 | Monte das Lages | PT | Évora | Évora | 38.65985 | -7.78635 | 0 | Europe/Lisbon | populated place | ||
2271289 | Azinhal | PT | Santarém | Coruche | 38.81737 | -8.17808 | 0 | Europe/Lisbon | populated place | ||
2742373 | Barreiro de Besteiros | PT | Viseu | Tondela | 40.51109 | -8.18021 | 0 | Europe/Lisbon | populated place | ||
2262720 | Telheiro | PT | Faro | Lagos | 37.11887 | -8.67217 | 0 | Europe/Lisbon | populated place | ||
12047290 | Ribeira de Elos | Ribeira d’ Elos,Ribeira d’Elos,Ribeira de Elos | PT | Vila Real | Santa Marta de Penaguião | 41.2317 | -7.79711 | 0 | Europe/Lisbon | populated place | |
2740880 | Cepelos | PT | Aveiro | Vale de Cambra | 40.83712 | -8.3446 | 0 | Europe/Lisbon | populated place | ||
2270347 | Campina de São Tiago | PT | Faro | Tavira | 37.1 | -7.7 | 0 | Europe/Lisbon | populated place | ||
2732665 | Vila Cova de Alva | Vila Cova,Vila Cova de Alva | PT | Coimbra | Arganil | 40.28518 | -7.93886 | 0 | Europe/Lisbon | populated place | |
2736747 | Parada de Cima | Parada de Cima | PT | Aveiro | Vagos | 40.46022 | -8.68323 | 0 | Europe/Lisbon | populated place | |
2269243 | Chiqueda de Cima | PT | Leiria | Alcobaça | 39.54072 | -8.95044 | 0 | Europe/Lisbon | populated place | ||
2733499 | Torre | PT | Viana do Castelo | Ponte de Lima | 41.71865 | -8.64558 | 0 | Europe/Lisbon | populated place |
Understanding Portugal: A Geographical Exploration
Portugal, located in the southwest corner of Europe, is a country that blends natural beauty with historical depth. From its rugged cliffs and long Atlantic coastline to its rolling hills and vast river valleys, Portugal’s geography has influenced its culture, economy, and even its political boundaries. The relationship between the land and the people who have settled there provides a fascinating lens through which to explore the country’s evolution. By delving into detailed geographical data, including the cities, regions, and precise coordinates of major settlements, one can gain a deeper understanding of how Portugal’s diverse terrain shapes both its past and its future.
Portugal’s Geographical Diversity: From Coastlines to Mountains
Portugal’s landscape is defined by striking geographical contrasts. The country is bordered by the Atlantic Ocean to the west and south, providing it with a lengthy coastline that has historically made it a key player in global maritime exploration and trade. The coastal plains of the Algarve in the south are known for their Mediterranean-like climate, which is contrasted by the cooler, forested mountains to the north.
The country’s interior is dominated by mountain ranges such as the Serra da Estrela in the central region, the highest point in mainland Portugal, and the rugged terrain of the Iberian System to the east. These mountain ranges create natural barriers that have historically limited communication and trade between regions, resulting in a patchwork of distinct local cultures and economies.
The fertile valleys of the Douro and Tejo rivers are among the most important agricultural areas in the country, and the Douro River in particular is known for its terraced vineyards that produce world-famous Port wine. This varied geography, with its plains, mountains, and river valleys, plays a key role in shaping the patterns of settlement and development across Portugal.
Regions and Cities: A Geographical and Cultural Tapestry
Portugal is divided into 18 administrative districts, along with two autonomous regions: the Azores and Madeira. Each region has its own distinct geographical and cultural identity, shaped by the natural landscape and historical influences. Lisbon, the capital, is located on the Atlantic coast at the mouth of the Tagus River, where it has developed into the country’s economic, cultural, and political center.
Other major cities like Porto, Braga, and Coimbra play significant roles in Portugal’s regional identity. Porto, located along the Douro River, is the second-largest city and is famous for its historical architecture, the production of Port wine, and its role as a trade hub. Braga, in the north, is an ancient city known for its religious significance, while Coimbra, also in the north, is home to one of the oldest universities in Europe.
The interior regions, such as Alentejo and Beira Interior, represent a different side of Portugal, with their rural landscapes and slower-paced lifestyles. These areas are known for their agricultural output, particularly olive oil, cork, and wines, and offer a more tranquil contrast to the hustle and bustle of Portugal’s urban centers.
Each of these regions has its own unique geographical features that influence the local economy and culture. For example, the Alentejo is characterized by its flat, arid plains, while the mountainous terrain of the Serra da Estrela creates opportunities for winter tourism. Understanding the geographic differences between these regions is essential for understanding the complexity of Portugal’s economy and its social structures.
Latitude and Longitude: Mapping the Cities of Portugal
For any geographer, precise coordinates are essential to mapping and understanding a country’s urban and rural spaces. In Portugal, obtaining the latitude and longitude data of cities and towns is a key tool for spatial analysis, revealing how these urban areas interact with their surrounding environments and infrastructure.
The exact coordinates of Lisbon, for instance, are crucial to understanding its role as a major port city and trade hub. Knowing the latitude and longitude of Porto allows researchers to study the city’s relationship with the Douro River and its geographical importance in terms of both commerce and culture. Smaller cities like Évora or Funchal in Madeira also hold significant historical value, and understanding their coordinates can help researchers understand the spread of Portugal’s cultural influences throughout its territories.
For instance, the coordinates of Lisbon help to illustrate its proximity to both the sea and the hinterlands, making it a focal point for trade, tourism, and international diplomacy. Meanwhile, Porto’s position on the Douro River speaks to its historical role in shipping and trade, while cities like Sintra, nestled in the hills near Lisbon, showcase the influence of natural geography on urban settlement.
Unlocking Geospatial Data for Portugal’s Future
The importance of accessing detailed geographical data on Portugal cannot be overstated. A comprehensive database that includes the cities, regions, and precise latitude and longitude coordinates of major settlements provides valuable insights into how the geography of Portugal shapes its urban and rural development. With this data, researchers and policymakers can better understand the patterns of growth, resource distribution, and infrastructure needs across the country.
For urban planners, environmental scientists, and historians, obtaining accurate geographical data about Portugal is essential for developing sustainable strategies for growth. For example, knowing the geographical location of Lisbon, Porto, and other major cities allows for more informed decisions about transportation networks, waste management, and energy distribution. The data also allows planners to assess the risks associated with natural disasters, such as flooding in low-lying coastal areas or landslides in the mountainous regions.
Moreover, by obtaining the coordinates and geographical details of Portugal’s smaller cities and towns, it becomes easier to monitor environmental changes, assess land use, and identify areas that may require conservation efforts. With access to accurate geospatial data, Portugal can continue to protect its natural beauty while ensuring the long-term sustainability of its cities and communities.
Conclusion
Portugal’s diverse geography, from its rugged mountains and fertile river valleys to its expansive coastline, offers a unique view of how geography shapes a nation’s economy, culture, and urban development. The geographic positioning of cities like Lisbon, Porto, and Coimbra reveals the historical and economic patterns that have defined Portugal for centuries. Access to detailed geospatial data, including latitude and longitude coordinates, is essential for understanding how these cities interact with their natural surroundings, and it allows for more effective urban planning, resource management, and environmental protection. By utilizing this data, Portugal can continue to build a sustainable future that respects its rich history and diverse landscapes.
FaQ about Portugal
- Geoname_ID: This is a unique identifier for each place or geographical name in the Geoname database.
- City: The name of the place, which can be a town, village or any other form of human settlement.
- Alternate_Name: Other names or appellations that the place may have. These alternative names may be in different languages, dialects or even local names.
- Country_Code: This is the ISO 3166-1 alpha-2 code for the country in which the place is located. For example, "US" for the United States, "FR" for France.
- Region: This represents the first-order administrative division in which the location is situated. For example, this could be a state, province or territory.
- Sub_region: This is a second-order administrative division, such as a county or district, within the region.
- Latitude: The geographical latitude of the location, usually in decimal degrees.
- Longitude: The geographical longitude of the location, also usually in decimal degrees.
- Elevation: The elevation or altitude of the location in relation to sea level, usually measured in metres.
- Population: The estimated number of inhabitants or population of the location.
- Timezone: The time zone in which the location is located, in accordance with global time zone standards.
- Fcode_Name: This is a code that categorises the type of location. For example, "PPL" could mean a populated place, while "PPLC" could be the capital of a political entity.