Sweden cities list with latitude and longitude in Excel, CSV, SQL, XML, JSON formats
Last update : 16 December 2025.
This is the best list of 27585 cities in the Sweden available in 5 formats ( Excel, CSV, JSON, SQL, XML ). You will find only data associated with the cities of a country (capital, towns and villages). There is no information concerning the environment, such as the location of a river or a mountain, for example. All cities are 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 Sweden 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2725078 | Ås | SE | Västernorrland | Härnösands Kommun | 62.81667 | 17.78333 | 0 | Europe/Stockholm | populated place | ||
| 2722153 | Björkenäs | SE | Västra Götaland | Hjo Kommun | 58.33333 | 14.31667 | 0 | Europe/Stockholm | populated place | ||
| 2722895 | Berga | SE | Gävleborg | Bollnäs Kommun | 61.35 | 16.61667 | 0 | Europe/Stockholm | populated place | ||
| 12022248 | Roten | SE | Västernorrland | Härnösands Kommun | 62.6457 | 17.52438 | 0 | Europe/Stockholm | populated place | ||
| 2680487 | Saltärna | SE | Blekinge | 56.15 | 15.16667 | 0 | Europe/Stockholm | populated place | |||
| 2714955 | Finnhyttan | SE | Örebro | Hällefors Kommun | 59.63333 | 14.46667 | 0 | Europe/Stockholm | populated place | ||
| 604078 | Nietsavare | Nietsavare,Njetjavare,Njetsavare,Njietjavarre,Njietjavárre | SE | Norrbotten | Jokkmokks Kommun | 66.70834 | 20.44651 | 0 | Europe/Stockholm | populated place | |
| 2692725 | Mårbacken | SE | Värmland | Torsby Kommun | 60.15 | 12.73333 | 0 | Europe/Stockholm | populated place | ||
| 2662141 | Ytteråker | SE | Dalarna | Vansbro Kommun | 60.53333 | 14.4 | 0 | Europe/Stockholm | populated place | ||
| 2726007 | Anebo | SE | Kalmar | Kalmar Kommun | 56.65 | 15.91667 | 0 | Europe/Stockholm | populated place | ||
| 2715722 | Fagerholm | SE | Stockholm | Värmdö Kommun | 59.26667 | 18.4 | 0 | Europe/Stockholm | populated place | ||
| 2669929 | Svenstorp | SE | Västra Götaland | Ale Kommun | 57.95 | 12.16667 | 0 | Europe/Stockholm | populated place | ||
| 2705802 | Höghult | Hoeghult,Hoghult,Höghult,Høghult | SE | Kalmar | Vimmerby Kommun | 57.63333 | 16.01667 | 0 | Europe/Stockholm | populated place | |
| 2696055 | Lilla Ekeryd | Ekeryd,Lilla Ekeryd | SE | Kronoberg | Tingsryds Kommun | 56.55 | 14.95 | 0 | Europe/Stockholm | populated place | |
| 2703556 | Inseros | Inseredsos,Inseros | SE | Västra Götaland | Mölndals kommun | 57.6 | 12.25 | 0 | Europe/Stockholm | populated place | |
| 3329012 | Puksätter | SE | Kalmar | Västerviks Kommun | 57.7175 | 16.56556 | 0 | Europe/Stockholm | populated place | ||
| 2723916 | Bäcken | SE | Värmland | Säffle Kommun | 59.21667 | 12.5 | 0 | Europe/Stockholm | populated place | ||
| 2689572 | Nöbbele | Nobbele,Noebbele,Nöbbele,Nøbbele | SE | Kronoberg | Växjö Kommun | 56.76667 | 14.86667 | 0 | Europe/Stockholm | populated place | |
| 2719710 | Branseröd | Brandserod,Brandseröd,Branserod,Branseroed,Branseröd,Branserød | SE | Västra Götaland | Uddevalla Kommun | 58.16667 | 11.88333 | 0 | Europe/Stockholm | populated place | |
| 2599680 | Baggboda | SE | Stockholm | Norrtälje Kommun | 59.88333 | 18.86667 | 0 | Europe/Stockholm | populated place | ||
| 2665923 | Väderum | SE | Kalmar | Hultsfreds Kommun | 57.53333 | 16.06667 | 0 | Europe/Stockholm | populated place | ||
| 2689289 | Nordsjötorp | Nordsjoetorp,Nordsjotorp,Nordsjötorp,Nordsjøtorp | SE | Värmland | Forshaga Kommun | 59.65 | 13.53333 | 0 | Europe/Stockholm | populated place | |
| 606586 | Bjurå | SE | Norrbotten | Luleå kommun | 66.01667 | 22.11667 | 0 | Europe/Stockholm | populated place | ||
| 2720739 | Böle | Boele,Bole,Böle,Bøle | SE | Västerbotten | Norsjö Kommun | 64.95 | 19.71667 | 0 | Europe/Stockholm | populated place | |
| 2669292 | Tåstorp | SE | Västra Götaland | Vårgårda Kommun | 58.06667 | 12.8 | 0 | Europe/Stockholm | populated place | ||
| 2721498 | Blackstad | SE | Östergötland | Mjölby Kommun | 58.31667 | 14.96667 | 0 | Europe/Stockholm | populated place | ||
| 2662395 | Vrångfall | SE | Kalmar | Vimmerby Kommun | 57.8 | 16 | 0 | Europe/Stockholm | populated place | ||
| 2709945 | Gullholmen | SE | Västra Götaland | Orust | 58.18333 | 11.4 | 0 | Europe/Stockholm | populated place | ||
| 2705969 | Högåsen | Hoegasen,Hogasen,Högåsen,Høgåsen | SE | Värmland | Torsby Kommun | 60.48306 | 12.93306 | 0 | Europe/Stockholm | populated place | |
| 2685449 | Östra Klippingsbo | OEstra Klippingsbo,Ostra Klippingsbo,Östra Klippingsbo,Østra Klippingsbo | SE | Kalmar | Emmaboda Kommun | 56.51667 | 15.7 | 0 | Europe/Stockholm | populated place | |
| 2675750 | Södra Öljemåla | Sodra Oljemala,Soedra OEljemala,Södra Öljemåla,Sødra Øljemåla | SE | Kronoberg | Tingsryds Kommun | 56.66667 | 15.21667 | 0 | Europe/Stockholm | populated place | |
| 2694780 | Linghed | Linghed | SE | Dalarna | Falu kommun | 60.78333 | 15.85 | 529 | Europe/Stockholm | populated place | |
| 2720064 | Botvide | SE | Gotland | Gotland | 57.43116 | 18.22147 | 0 | Europe/Stockholm | populated place | ||
| 2664012 | Västra Harg | Vastra Harg,Västra Harg | SE | Östergötland | Mjölby Kommun | 58.26667 | 15.25 | 0 | Europe/Stockholm | populated place | |
| 2677741 | Skenshyttan | Schenshyttan,Skenshyttan | SE | Dalarna | Borlänge Kommun | 60.33333 | 15.4 | 0 | Europe/Stockholm | populated place | |
| 2675276 | Sörälvsjö | SE | Västernorrland | Örnsköldsviks Kommun | 63.35 | 18.76667 | 0 | Europe/Stockholm | populated place | ||
| 2689399 | Nordanö | Nordano,Nordanoe,Nordanö,Nordanø | SE | Dalarna | Borlänge Kommun | 60.48333 | 15.58333 | 0 | Europe/Stockholm | populated place | |
| 2694075 | Löt | Loet,Lot,Löt,Løt | SE | Uppsala | Uppsala Kommun | 59.86667 | 17.93333 | 0 | Europe/Stockholm | populated place | |
| 2665915 | Vadjungsed | SE | Värmland | Eda kommun | 59.71667 | 12.08333 | 0 | Europe/Stockholm | populated place | ||
| 2602814 | Korpberget | SE | Västernorrland | Kramfors Kommun | 62.90237 | 17.89227 | 0 | Europe/Stockholm | populated place | ||
| 2700364 | Klubbäcken | Klubbacken,Klubbbacken,Klubbbäcken,Klubbäcken | SE | Gävleborg | Ockelbo Kommun | 61.03333 | 16.78333 | 0 | Europe/Stockholm | populated place | |
| 604996 | Kroksjö | Kroksjo,Kroksjoe,Kroksjö,Kroksjø | SE | Västerbotten | Umeå Kommun | 64.08333 | 20.21667 | 0 | Europe/Stockholm | populated place | |
| 2687279 | Öjenäs | SE | Värmland | Sunne Kommun | 59.98333 | 13.13333 | 0 | Europe/Stockholm | populated place | ||
| 2708907 | Hälglöt | SE | Örebro | Örebro Kommun | 59.35 | 15.56667 | 0 | Europe/Stockholm | populated place | ||
| 3330836 | Nabben | SE | Blekinge | 56.13333 | 15.63333 | 0 | Europe/Stockholm | populated place | |||
| 2700651 | Kläppe | SE | Jämtland | Östersunds Kommun | 63.25 | 14.76667 | 0 | Europe/Stockholm | populated place | ||
| 2720385 | Borlanda | Borlanda,Borrlanda | SE | Kronoberg | Växjö Kommun | 57.03333 | 14.85 | 0 | Europe/Stockholm | populated place | |
| 2687621 | Nysäter | SE | Västernorrland | Sundsvalls Kommun | 62.56667 | 16.91667 | 0 | Europe/Stockholm | populated place | ||
| 2710697 | Grimsholmen | SE | Halland | 56.83333 | 12.58333 | 0 | Europe/Stockholm | populated place | |||
| 2670921 | Sund | SE | Jämtland | Bräcke Kommun | 62.9 | 15.11667 | 0 | Europe/Stockholm | populated place | ||
| 2672314 | Stora Vägume | Stora Vagume,Stora Vägume,Vagome,Vagume,Vägome,Vägume | SE | Gotland | Gotland | 57.75678 | 18.82311 | 0 | Europe/Stockholm | populated place | |
| 602036 | Västerå | SE | Västerbotten | Umeå Kommun | 64.11667 | 20.1 | 0 | Europe/Stockholm | populated place | ||
| 2719042 | Brotorp | SE | Kalmar | Västerviks Kommun | 57.78333 | 16.26667 | 0 | Europe/Stockholm | populated place | ||
| 2669915 | Svia | SE | Uppsala | Uppsala Kommun | 59.88333 | 17.73333 | 0 | Europe/Stockholm | populated place | ||
| 2677108 | Skrubberyd | SE | Kronoberg | Markaryds Kommun | 56.58333 | 13.53333 | 0 | Europe/Stockholm | populated place | ||
| 2682682 | Restad | SE | Västra Götaland | Vänersborgs Kommun | 58.34162 | 12.35928 | 0 | Europe/Stockholm | populated place | ||
| 2695254 | Lillbo | SE | Gävleborg | Ovanåkers Kommun | 61.36667 | 15.78333 | 0 | Europe/Stockholm | populated place | ||
| 2724656 | Aspbacken | SE | Jämtland | Krokoms Kommun | 63.65 | 13.75 | 0 | Europe/Stockholm | populated place | ||
| 2679971 | Sänneshult | SE | Kronoberg | Älmhults Kommun | 56.5 | 14.35 | 0 | Europe/Stockholm | populated place | ||
| 2720451 | Borgby | SE | Västmanland | Hallstahammars Kommun | 59.56667 | 16.26667 | 0 | Europe/Stockholm | populated place | ||
| 2700462 | Klitten | Klitten | SE | Dalarna | Älvdalens kommun | 61.28333 | 14.1 | 0 | Europe/Stockholm | populated place | |
| 2662853 | Vindelgransele | SE | Västerbotten | Lycksele kommun | 65.1 | 18.26667 | 0 | Europe/Stockholm | populated place | ||
| 2687696 | Nykroppa | Nykroppa | SE | Värmland | Filipstads Kommun | 59.62274 | 14.30313 | 788 | Europe/Stockholm | populated place | |
| 2707078 | Havstorp | Hafstorp,Havstorp | SE | Halland | Varbergs Kommun | 57.15 | 12.45 | 0 | Europe/Stockholm | populated place | |
| 2664124 | Västra Boda | Boda,Vastra Boda,Västra Boda | SE | Värmland | Eda kommun | 59.85 | 12 | 0 | Europe/Stockholm | populated place | |
| 3331638 | Backa | SE | Västra Götaland | Göteborgs stad | 57.75 | 11.98333 | 0 | Europe/Stockholm | populated place | ||
| 2706160 | Hjortnäs | SE | Dalarna | Leksands kommun | 60.8 | 14.96667 | 259 | Europe/Stockholm | populated place | ||
| 2707810 | Hårdgård | SE | Jämtland | Bräcke Kommun | 62.8 | 16.2 | 0 | Europe/Stockholm | populated place | ||
| 2699613 | Korsmon | SE | Kronoberg | Alvesta Kommun | 56.96667 | 14.4 | 0 | Europe/Stockholm | populated place | ||
| 2691518 | Molgan | SE | Jämtland | Härjedalens kommun | 62.01667 | 14.66667 | 0 | Europe/Stockholm | populated place | ||
| 2699958 | Kolksele | SE | Västerbotten | Vännäs Kommun | 63.96667 | 19.65 | 0 | Europe/Stockholm | populated place | ||
| 2708209 | Hammarby | SE | Uppsala | Östhammars Kommun | 60.08333 | 18.08333 | 0 | Europe/Stockholm | populated place | ||
| 2712266 | Getbro | SE | Dalarna | Smedjebackens Kommun | 60.18333 | 15.45 | 0 | Europe/Stockholm | populated place | ||
| 2727269 | Åkerby | SE | Kalmar | Borgholms Kommun | 56.67898 | 16.68836 | 0 | Europe/Stockholm | populated place | ||
| 2671399 | Strandtorp | Strandtorp,Strandtorpshage | SE | Kalmar | Borgholms Kommun | 56.83306 | 16.61667 | 0 | Europe/Stockholm | populated place | |
| 2670288 | Svarthamn | SE | Västernorrland | Sundsvalls Kommun | 62.39333 | 17.58278 | 0 | Europe/Stockholm | populated place | ||
| 2691421 | Mon | SE | Dalarna | Gagnefs Kommun | 60.53333 | 15.05 | 0 | Europe/Stockholm | populated place | ||
| 2698894 | Kulla | SE | Södermanland | Flens Kommun | 59.15 | 16.85 | 0 | Europe/Stockholm | populated place | ||
| 2721220 | Boarp | SE | Halland | Falkenbergs Kommun | 56.88333 | 12.68333 | 0 | Europe/Stockholm | populated place | ||
| 2680044 | Sångbäcken | SE | Jämtland | Bergs Kommun | 62.48333 | 14.16667 | 0 | Europe/Stockholm | populated place | ||
| 3326052 | Glassvik | SE | Halland | Falkenbergs Kommun | 56.78333 | 12.61667 | 0 | Europe/Stockholm | populated place | ||
| 2665677 | Valde | SE | Uppsala | Östhammars Kommun | 60.15 | 18.18333 | 0 | Europe/Stockholm | populated place | ||
| 2699533 | Koverboda | Kaverboda,Koverboda,Kåverboda | SE | Örebro | Lindesbergs Kommun | 59.51667 | 15.35 | 0 | Europe/Stockholm | populated place | |
| 2664576 | Västanåker | SE | Västra Götaland | Lidköpings Kommun | 58.55 | 13.05 | 0 | Europe/Stockholm | populated place | ||
| 2713631 | Frödingehult | Frodingehult,Froedingehult,Frödingehult,Frødingehult | SE | Kalmar | Vimmerby Kommun | 57.7 | 16.05 | 0 | Europe/Stockholm | populated place | |
| 2703227 | Järnudda | SE | Kalmar | Hultsfreds Kommun | 57.46667 | 15.86667 | 0 | Europe/Stockholm | populated place | ||
| 2723863 | Bäckland | SE | Västernorrland | Kramfors Kommun | 62.90305 | 18.35923 | 0 | Europe/Stockholm | populated place | ||
| 2726633 | Almaröd | Almarod,Almaroed,Almaröd,Almarød | SE | Skåne | Skurups Kommun | 55.41667 | 13.53333 | 0 | Europe/Stockholm | populated place | |
| 2674375 | Stavre | Stafre,Stavre | SE | Jämtland | Krokoms Kommun | 63.41667 | 14.13333 | 0 | Europe/Stockholm | populated place | |
| 2723775 | Baggböle | Baggboele,Baggbole,Baggböle,Baggbøle | SE | Västernorrland | Sundsvalls Kommun | 62.20103 | 17.26879 | 0 | Europe/Stockholm | populated place | |
| 2666696 | Uddeholm | SE | Västra Götaland | Marks Kommun | 57.45 | 12.5 | 0 | Europe/Stockholm | populated place | ||
| 2602700 | Krokudden | SE | Västernorrland | Sundsvalls Kommun | 62.35889 | 17.47694 | 0 | Europe/Stockholm | populated place | ||
| 2707089 | Havsnäs | Hafsnaset,Hafsnäset,Havsnas,Havsnäs | SE | Jämtland | Strömsunds kommun | 64.08333 | 15.81667 | 0 | Europe/Stockholm | populated place | |
| 2694540 | Ljunghem | SE | Västra Götaland | 58.03333 | 13.8 | 0 | Europe/Stockholm | populated place | |||
| 2724228 | Avholm | Afholm,Avaholm,Avholm | SE | Gävleborg | Hudiksvalls Kommun | 61.9 | 16.55 | 0 | Europe/Stockholm | populated place | |
| 2685056 | Överbo | OEverbo,Overbo,Överbo,Øverbo | SE | Gävleborg | Ovanåkers Kommun | 61.41667 | 15.48333 | 0 | Europe/Stockholm | populated place | |
| 2683131 | Rasbo | SE | Gävleborg | Sandvikens Kommun | 60.33333 | 16.78333 | 0 | Europe/Stockholm | populated place | ||
| 798224 | Strömören | Stroemoeren,Stromoren,Strömören,Strømøren | SE | Norrbotten | Luleå kommun | 65.55 | 22.24444 | 0 | Europe/Stockholm | populated place | |
| 2682037 | Rögle | SE | Skåne | Helsingborg | 56.18807 | 12.77375 | 0 | Europe/Stockholm | populated place | ||
| 2711679 | Göljhult | Goeljhult,Golghult,Goljhult,Gölghult,Göljhult,Gøljhult | SE | Kalmar | Oskarshamns Kommun | 57.5 | 16.53333 | 0 | Europe/Stockholm | populated place |
Sweden: A Geographical Exploration of Northern Europe’s Jewel
Sweden, the largest of the Scandinavian countries, is a land defined by vast forests, tranquil lakes, rugged mountains, and a long, captivating coastline. Located in northern Europe, Sweden is not only known for its natural beauty but also for its unique geographical positioning that influences everything from climate to human settlement. As a geographer, Sweden presents an intriguing case study of how diverse natural features shape the culture, economy, and development of a country. Understanding the spatial relationships of cities, regions, and natural landscapes through detailed geographic data is essential for appreciating the complexities of this Nordic nation.
Diverse Landscapes: From Mountains to Coastlines
Sweden's geography is as varied as it is vast, stretching from the temperate zone in the south to the Arctic Circle in the north. The country's terrain is dominated by rolling hills, forests, and more than 100,000 lakes, including the massive Väddöviken and Väddöviken Lake. In the north, the Scandinavian Mountains stretch across the land, offering rugged peaks and deep valleys that shape the local climate and vegetation. The northernmost regions, particularly those within the Arctic Circle, experience long winters and midnight sun during the summer months, providing unique environmental conditions.
The central and southern regions of Sweden, on the other hand, are characterized by fertile plains and a more temperate climate. These areas are more densely populated and have historically been centers of agricultural production. In addition to its lakes and mountains, Sweden is famous for its coastline along the Baltic Sea and the Gulf of Bothnia, where the land meets the sea in a series of beautiful archipelagos. This coastal region is integral to Sweden's economy, particularly through trade, fishing, and tourism.
Sweden's geographical diversity has a profound impact on its culture and economy, influencing everything from urbanization patterns to local industries such as forestry, mining, and energy. The ability to study these geographical patterns through data is essential for understanding how Sweden has developed into one of the most prosperous and ecologically conscious nations in the world.
The Administrative Divisions: Regions and Cities
Sweden is divided into 21 counties (län), each governed by a County Administrative Board. These counties are further subdivided into municipalities (kommuner), which serve as the local administrative units. While Sweden has a relatively centralized government, the counties and municipalities play a crucial role in local governance and the implementation of national policies.
In terms of population and economic importance, the capital city Stockholm, located on the eastern coast, is the largest and most influential city in the country. As the heart of Swedish politics, culture, and commerce, Stockholm serves as the focal point for much of the country's innovation and growth. Other major cities such as Gothenburg, Malmö, and Uppsala contribute significantly to the country’s economy, with Gothenburg being a key industrial hub, and Malmö serving as an international gateway due to its proximity to Denmark.
Sweden’s regions are characterized by distinctive cultural and economic attributes. For example, the southern region of Skåne is known for its agriculture, while the northern region of Norrland is less populated and rich in natural resources, particularly forestry and mining. The difference in climate, natural resources, and industry between these regions is substantial, and understanding this spatial distribution is crucial for grasping the diverse dynamics within Sweden.
Geographic Data: A Tool for Better Understanding Sweden's Spatial Structure
Geographic data is essential for understanding the geographical organization of Sweden, from its cities to its remote villages. By obtaining precise data on the cities, regions, and their administrative boundaries, one can develop a clearer picture of Sweden’s urbanization patterns, economic activities, and resource distribution. Latitude and longitude coordinates of key locations, such as Stockholm, Gothenburg, and Kiruna, allow geographers and planners to analyze the relationship between human settlements and the natural environment.
For instance, obtaining geographic data on Stockholm helps in studying urban sprawl, infrastructure development, and environmental concerns such as air quality and green space availability. In rural areas such as Värmland or the Lapland region, geographic data provides insights into population density, land use, and the spatial distribution of industries like forestry and tourism. By mapping the locations of these regions and cities, it becomes easier to develop sustainable development policies that balance environmental conservation with economic growth.
Furthermore, geographic data helps identify regions that are particularly vulnerable to climate change. For example, the melting of ice in northern Sweden due to rising temperatures can be monitored using geographic data to understand the impacts on local ecosystems and communities. Similarly, the data helps track the effectiveness of government policies related to forest management, water conservation, and biodiversity protection.
The Role of Geographic Data in Regional Development
As Sweden continues to grow, the role of geographic data in regional development becomes even more critical. The country’s vast rural regions, particularly in the north, face challenges related to population decline, lack of infrastructure, and limited economic diversification. Geographic data allows policymakers to identify regions in need of investment and resources, guiding efforts to create more balanced development across the country.
In regions like Norrbotten and Västerbotten, where the population density is low, understanding the geographical layout of transportation networks, energy infrastructure, and resource extraction activities is essential for fostering growth and improving access to services. Conversely, cities like Malmö, which experience rapid urbanization and high demand for housing, rely on geographic data to plan for sustainable urban expansion, transportation improvements, and waste management.
Sweden’s commitment to sustainable development is reflected in its regional planning initiatives. By leveraging geographic data, Sweden can better understand the spatial distribution of natural resources, urban centers, and green spaces, ensuring that development occurs in a way that is both ecologically responsible and economically viable.
Sustainable Resource Management and Geographic Data
Sweden is known for its commitment to environmental sustainability and conservation. From its extensive forests to its clean energy initiatives, the country places a strong emphasis on managing natural resources in a way that supports both the economy and the environment. Geographic data plays a pivotal role in supporting these efforts.
For example, Sweden’s forests, which cover about 60% of the country’s land area, are a vital natural resource. Geographic data helps monitor forest health, track deforestation, and map out sustainable timber harvesting areas. In addition, geographic data is crucial for managing Sweden’s vast water resources, particularly its lakes and rivers, which are vital for drinking water, agriculture, and hydroelectric power generation. By using geographic data to track water usage, pollution levels, and the health of aquatic ecosystems, Sweden can develop more effective water management policies.
In terms of energy, Sweden has been a global leader in adopting renewable energy sources. Geographic data helps identify the most suitable areas for wind, solar, and hydroelectric power projects, ensuring that the country’s energy infrastructure is optimized for both efficiency and sustainability.
Conclusion: The Future of Geographic Data in Sweden’s Development
In conclusion, Sweden’s geography is integral to its identity as a nation. From its expansive forests and mountains to its vibrant cities and sustainable practices, the country’s natural and human landscapes are shaped by geographic features that influence every aspect of society. Geographic data, including detailed information on cities, regions, and natural resources, is crucial for understanding and managing Sweden’s complex spatial structure.
As Sweden continues to prioritize sustainable growth, environmental conservation, and urban development, the use of geographic data will remain central to shaping the future of the country. Whether it’s addressing climate change, improving infrastructure, or preserving natural resources, geographic data provides the foundation for informed decision-making and effective governance. By obtaining and utilizing accurate geographic data, Sweden can continue to thrive as a model of sustainability and innovation in the 21st century.
FaQ about Sweden
- 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.