Norway cities list with latitude and longitude in CSV, XML, SQL, JSON format
Last update : 13 December 2024.
Below is a list of 100 prominent cities in Norway. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 12031 places in Norway 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 .csv, .json, .xml and .sql formats. Notable Cities: The capital of Norway is Oslo.
Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
---|---|---|---|---|---|---|---|---|---|---|---|
3160913 | Bø | NO | Viken | Sarpsborg | 59.36667 | 11.23333 | 0 | Europe/Oslo | populated place | ||
3139790 | Sennesvik gamle | NO | Nordland | Vestvågøy | 68.1191 | 13.7165 | 0 | Europe/Oslo | populated place | ||
3336591 | Vedavågen | Veavagen,Veavågen,Vedavagen,Vedavågen | NO | Rogaland | Karmøy | 59.29483 | 5.21874 | 2728 | Europe/Oslo | populated place | |
3159501 | Dagsvik | NO | Nordland | Leirfjord | 66.01667 | 12.95 | 0 | Europe/Oslo | populated place | ||
12177249 | Fredheim | Fredheim | NO | Vestfold og Telemark | 59.28651 | 9.93911 | 0 | Europe/Oslo | populated place | ||
3136730 | Stokkastranda | NO | Rogaland | Karmøy | 59.24057 | 5.32184 | 0 | Europe/Oslo | populated place | ||
3152548 | Hjelset | Hjellset,Hjelset | NO | Møre og Romsdal | Molde | 62.7805 | 7.49277 | 1011 | Europe/Oslo | populated place | |
3222976 | Auna | NO | Troms og Finnmark | Harstad | 68.83092 | 16.33645 | 0 | Europe/Oslo | populated place | ||
9537700 | Ytterskogen | Ytterskogen | NO | Viken | Rakkestad | 59.36943 | 11.30427 | 0 | Europe/Oslo | populated place | |
9537584 | Fjordbukta | Fjordbukta | NO | Troms og Finnmark | Alta | 70.17957 | 23.37776 | 0 | Europe/Oslo | populated place | |
3151512 | Høyvik | NO | Vestland | Askvoll | 61.36667 | 4.98333 | 0 | Europe/Oslo | populated place | ||
3159033 | Dragneset | Draegneset,Dragneset,Drægneset | NO | Nordland | Herøy | 65.98333 | 12.3 | 0 | Europe/Oslo | populated place | |
3133833 | Trovåg | NO | Rogaland | Vindafjord | 59.54528 | 5.55639 | 0 | Europe/Oslo | populated place | ||
3133241 | Urdaneset | NO | Vestland | Askvoll | 61.41667 | 5.15 | 0 | Europe/Oslo | populated place | ||
12077465 | Tjøme Radio | Tjome Radio,Tjøme Radio | NO | Vestfold og Telemark | Færder | 59.07831 | 10.4063 | 0 | Europe/Oslo | populated place | |
3161848 | Berdal | NO | Vestland | Vik | 61.13333 | 6.73333 | 0 | Europe/Oslo | populated place | ||
3160023 | Brennvik | NO | Nordland | Hamarøy | 68.13778 | 15.65778 | 0 | Europe/Oslo | populated place | ||
3133059 | Våg | Vaag,Vag,Våg | NO | Nordland | Gildeskål | 67.12672 | 14.05907 | 0 | Europe/Oslo | populated place | |
3160621 | Børmarka | Boremark,Bormarka,Böremark,Børmarka | NO | Trøndelag | Åfjord | 64.05 | 10.45 | 0 | Europe/Oslo | populated place | |
3163574 | Ådalsvollen | Adalsvollen,Ådalsvollen | NO | Trøndelag | Verdal | 63.66667 | 12.06667 | 0 | Europe/Oslo | populated place | |
9537606 | Laukeng | Laukeng | NO | Troms og Finnmark | Alta | 70.31078 | 23.48322 | 0 | Europe/Oslo | populated place | |
7290284 | Svingvoll | NO | Innlandet | Gausdal | 61.29541 | 10.18668 | 0 | Europe/Oslo | populated place | ||
11872175 | Refsholt | Refsholt | NO | Vestfold og Telemark | Larvik | 59.02892 | 10.16326 | 0 | Europe/Oslo | populated place | |
3141119 | Røvika | Rovik,Rovika,Røvik,Røvika | NO | Møre og Romsdal | Molde | 62.72894 | 7.42082 | 100 | Europe/Oslo | populated place | |
3140383 | Sandeid | Sandeid | NO | Rogaland | Vindafjord | 59.54441 | 5.86229 | 534 | Europe/Oslo | populated place | |
3142662 | Pollen | NO | Nordland | Bø | 68.66667 | 14.61667 | 0 | Europe/Oslo | populated place | ||
9536360 | Báhkiljohka | Bahkiljohka,Báhkiljohka | NO | Troms og Finnmark | Karasjok | 69.44624 | 25.40684 | 0 | Europe/Oslo | populated place | |
3139906 | Seljelia | Seljeli,Seljelia | NO | Nordland | Vefsn | 66.13333 | 13.58333 | 0 | Europe/Oslo | populated place | |
3142301 | Rødberget | Rauberget,Raudberget,Roberget,Rodberg,Rodberget,Röberget,Rödberg,Rødberget | NO | Trøndelag | Indre Fosen | 63.48956 | 9.98915 | 0 | Europe/Oslo | populated place | |
9403887 | Liadalen | Liadal,Liadalen | NO | Møre og Romsdal | Ørsta | 62.24086 | 5.99915 | 0 | Europe/Oslo | populated place | |
11872554 | Bua | Bua | NO | Vestfold og Telemark | Larvik | 59.03453 | 9.82946 | 0 | Europe/Oslo | populated place | |
6545366 | Tomteråsen | NO | Viken | Nes | 60.10696 | 11.3687 | 676 | Europe/Oslo | populated place | ||
12176874 | Kjellelia | Kjellelia | NO | Vestfold og Telemark | 59.28347 | 10.40258 | 0 | Europe/Oslo | populated place | ||
3142059 | Reinsvoll | NO | Troms og Finnmark | Senja | 69.21667 | 18.26667 | 0 | Europe/Oslo | populated place | ||
3153967 | Hanasand | NO | Rogaland | Stavanger | 59.11667 | 5.76667 | 0 | Europe/Oslo | populated place | ||
9536974 | Mannvikja | Mannvikja | NO | Nordland | Dønna | 66.2134 | 12.60502 | 0 | Europe/Oslo | populated place | |
3133601 | Tveitsund | Tveitsund | NO | Vestfold og Telemark | Nissedal | 59.01877 | 8.52421 | 344 | Europe/Oslo | populated place | |
3137110 | Stavdal | NO | Vestfold og Telemark | Skien | 59.16938 | 9.3872 | 0 | Europe/Oslo | populated place | ||
3140619 | Sævik | NO | Rogaland | Karmøy | 59.3 | 5.21667 | 0 | Europe/Oslo | populated place | ||
3133602 | Tveitogrend | NO | Vestfold og Telemark | Vinje | 59.57511 | 7.95496 | 0 | Europe/Oslo | populated place | ||
12080895 | Torget | Torget | NO | Vestfold og Telemark | Tønsberg | 59.80863 | 10.69106 | 0 | Europe/Oslo | populated place | |
3134101 | Træland | Traeland,Traelandsfoss,Trelandsfoss,Træland,Trælandsfoss | NO | Agder | Kvinesdal | 58.36667 | 6.98333 | 0 | Europe/Oslo | populated place | |
11844905 | Tanggård | Tanggard,Tanggård | NO | Vestfold og Telemark | Larvik | 58.97106 | 9.94176 | 0 | Europe/Oslo | populated place | |
3152837 | Herum | NO | Vestfold og Telemark | Bamble | 59.05 | 9.6 | 0 | Europe/Oslo | populated place | ||
3139696 | Sildevik | Sildevik,Sillvik | NO | Vestfold og Telemark | Porsgrunn | 59.05 | 9.76667 | 0 | Europe/Oslo | populated place | |
9535862 | Gammeldøssætra | Gammeldossaetra,Gammeldøssætra | NO | Innlandet | Lillehammer | 61.06222 | 10.29902 | 0 | Europe/Oslo | populated place | |
11844472 | Leirdal | Leirdal | NO | Oslo | Oslo | 59.93762 | 10.8761 | 0 | Europe/Oslo | populated place | |
3144648 | Nessa | NO | Rogaland | Hjelmeland | 59.15 | 6.11667 | 0 | Europe/Oslo | populated place | ||
3157683 | Fevåg | Fevaag,Fevag,Fevagbukt,Fevåg,Fevågbukt | NO | Trøndelag | Indre Fosen | 63.68499 | 9.85886 | 0 | Europe/Oslo | populated place | |
9536580 | Otterå | Ottera,Otterå | NO | Troms og Finnmark | Salangen | 68.8665 | 17.78554 | 0 | Europe/Oslo | populated place | |
3137186 | Stamnes | Stamnes,Stamneshella | NO | Vestland | Vaksdal | 60.66667 | 5.75 | 0 | Europe/Oslo | populated place | |
3152203 | Høllen | Hollen,Hollen i Sogne,Høllen,Høllen i Søgne | NO | Agder | Kristiansand | 58.07872 | 7.80858 | 456 | Europe/Oslo | populated place | |
9537822 | Bekkevika | Bekkevika | NO | Agder | Farsund | 58.0931 | 6.83603 | 0 | Europe/Oslo | populated place | |
777406 | Taskeby | NO | Troms og Finnmark | Skjervøy | 69.98252 | 21 | 0 | Europe/Oslo | populated place | ||
779002 | Indre Laukeng | NO | Troms og Finnmark | Alta | 70.3136 | 23.49066 | 0 | Europe/Oslo | populated place | ||
3154834 | Grønøya | Gronoy,Gronoya,Grønøy,Grønøya | NO | Nordland | Meløy | 66.78333 | 13.45 | 0 | Europe/Oslo | populated place | |
3136799 | Stien | NO | Nordland | Rana | 66.3 | 13.45 | 0 | Europe/Oslo | populated place | ||
3151085 | Indre Vårdal | NO | Vestland | Askvoll | 61.35 | 5.16667 | 0 | Europe/Oslo | populated place | ||
3138679 | Skogsheim | NO | Nordland | Lurøy | 66.36667 | 13.06667 | 0 | Europe/Oslo | populated place | ||
3133745 | Tunnhovd | Tunhovd | NO | Viken | Nore og Uvdal | 60.46196 | 8.76572 | 0 | Europe/Oslo | populated place | |
3131430 | Voll | Vold,Voll,Vollen | NO | Møre og Romsdal | Ålesund | 62.46667 | 6.85 | 466 | Europe/Oslo | populated place | |
9536093 | Nordvika | Nordvika | NO | Trøndelag | Røros | 62.42403 | 11.9387 | 0 | Europe/Oslo | populated place | |
9537711 | Fidjane | Fidjane | NO | Agder | Kristiansand | 58.14399 | 7.92747 | 0 | Europe/Oslo | populated place | |
3159057 | Døsvika | Dosvik,Dosvika,Døsvik,Døsvika | NO | Trøndelag | Ørland | 63.73996 | 9.67827 | 0 | Europe/Oslo | populated place | |
3156052 | Garten | Garten | NO | Trøndelag | Ørland | 63.64286 | 9.52155 | 0 | Europe/Oslo | populated place | |
3151153 | Indre Berg | NO | Troms og Finnmark | Lyngen | 69.63333 | 19.83333 | 0 | Europe/Oslo | populated place | ||
3222576 | Kornstad | NO | Troms og Finnmark | Senja | 69.21972 | 18.09417 | 0 | Europe/Oslo | populated place | ||
9535699 | Brekebygda | Brekebygda | NO | Viken | Ringerike | 60.55244 | 9.94479 | 0 | Europe/Oslo | populated place | |
3139418 | Skålevika | Skaalevik,Skalevik,Skalevika,Skålevik,Skålevika | NO | Vestland | Bergen | 60.39444 | 5.23389 | 0 | Europe/Oslo | populated place | |
9537908 | Bjørøyhamn | Bjoroyhamn,Bjoroyhavn,Bjorøyhavn,Bjørøyhamn | NO | Vestland | Øygarden | 60.32255 | 5.18576 | 0 | Europe/Oslo | populated place | |
3138051 | Snik | NO | Rogaland | Karmøy | 59.35 | 5.31667 | 0 | Europe/Oslo | populated place | ||
11844480 | Kasa | Kasa | NO | Oslo | Oslo | 60.00341 | 10.77164 | 0 | Europe/Oslo | populated place | |
3158118 | Ersfjord | Ersfjord,Ersfjord i Senja | NO | Troms og Finnmark | Senja | 69.48413 | 17.40596 | 0 | Europe/Oslo | populated place | |
3148297 | Langli | Langeli,Langli | NO | Viken | Skiptvet | 59.53333 | 11.13333 | 0 | Europe/Oslo | populated place | |
3150948 | Jåberg | Jaaberg,Jaberg,Jåberg | NO | Vestfold og Telemark | Larvik | 59.1 | 10.16667 | 0 | Europe/Oslo | populated place | |
3157813 | Fardal | NO | Vestland | Sogndal | 61.19182 | 7.02315 | 0 | Europe/Oslo | populated place | ||
3143623 | Ølesund | Olesund,Olsund,Ölsund,Ølesund | NO | Rogaland | Hjelmeland | 59.23333 | 6.11667 | 0 | Europe/Oslo | populated place | |
9536845 | Askjem | Askjem | NO | Trøndelag | Indre Fosen | 63.50742 | 9.99637 | 0 | Europe/Oslo | populated place | |
11873303 | Østre Kølabonn | Ostre Kolabonn,Østre Kølabonn | NO | Vestfold og Telemark | Holmestrand | 59.63229 | 10.29286 | 0 | Europe/Oslo | populated place | |
9536289 | Løvlia | Lovlia,Løvlia | NO | Viken | Rælingen | 59.90404 | 11.09403 | 0 | Europe/Oslo | populated place | |
3151123 | Indre Knarrvik | Indre Knarrvik,Indre Knarvik | NO | Møre og Romsdal | Aure | 63.21667 | 8.15 | 0 | Europe/Oslo | populated place | |
11872089 | Kjølsberget | Kjolsberget,Kjølsberget | NO | Vestfold og Telemark | Larvik | 59.02376 | 10.14491 | 0 | Europe/Oslo | populated place | |
3158537 | Eikje | NO | Rogaland | Lund | 58.4 | 6.56667 | 0 | Europe/Oslo | populated place | ||
9535795 | Ålsætra | Alsaetra,Ålsætra | NO | Innlandet | Løten | 60.91188 | 11.27072 | 0 | Europe/Oslo | populated place | |
3153464 | Haver | NO | Viken | Ås | 59.65 | 10.68333 | 0 | Europe/Oslo | populated place | ||
3132397 | Våtvoll | Vaatvold,Vaatvoll,Vatvoll,Våtvoll | NO | Troms og Finnmark | Kvæfjord | 68.57084 | 15.79614 | 0 | Europe/Oslo | populated place | |
3135414 | Sundsbø | Sundsbo,Sundsboen,Sundsbö,Sundsbøen | NO | Møre og Romsdal | Molde | 62.74711 | 6.91333 | 0 | Europe/Oslo | populated place | |
3150421 | Karstad | NO | Vestland | Sunnfjord | 61.38333 | 5.63333 | 0 | Europe/Oslo | populated place | ||
779829 | Gjesvær | Esver,Gjaesvaer,Gjesvaer,Gjesvær,Gjæsvær,Есвер | NO | Troms og Finnmark | Nordkapp | 71.09832 | 25.37608 | 0 | Europe/Oslo | populated place | |
3223332 | Sør Oppedal | NO | Vestland | Kinn | 61.9625 | 5.06639 | 0 | Europe/Oslo | populated place | ||
3162451 | Aunehågån | Aunehagan,Aunehagen,Aunehågån | NO | Trøndelag | Rennebu | 62.93333 | 9.76667 | 0 | Europe/Oslo | populated place | |
11844457 | Løva | Lova,Løva | NO | Oslo | Oslo | 60.00616 | 10.76273 | 0 | Europe/Oslo | populated place | |
3151698 | Hovdan | Hovdan,Hovde,Hovdel | NO | Trøndelag | Heim | 63.18333 | 8.83333 | 0 | Europe/Oslo | populated place | |
3150933 | Jakobsbakken | Jakobsbakken,Jakopsbakken | NO | Nordland | Fauske | 67.09504 | 16.00602 | 0 | Europe/Oslo | populated place | |
9535913 | Sildviksætran | Sildviksaetran,Sildviksætran | NO | Innlandet | Gausdal | 61.30968 | 9.70539 | 0 | Europe/Oslo | populated place | |
3158652 | Eidsberg | Eidsberg | NO | Viken | Indre Østfold | 59.5 | 11.38333 | 0 | Europe/Oslo | populated place | |
3139759 | Setre | NO | Vestland | Askvoll | 61.31667 | 4.96667 | 0 | Europe/Oslo | populated place | ||
3133500 | Tynning | NO | Vestland | Gulen | 61 | 5.43333 | 0 | Europe/Oslo | populated place | ||
3145644 | Moflaget | NO | Nordland | Lurøy | 66.36667 | 12.56667 | 0 | Europe/Oslo | populated place | ||
3153273 | Heimdal | NO | Agder | Birkenes | 58.45 | 8.23333 | 0 | Europe/Oslo | populated place |
**Exploring Norway's Geographic Diversity**
Introduction**
As a geographer, delving into the geographic data of Norway provides a fascinating journey through its rugged landscapes, vibrant cities, and remote communities. By obtaining the latitude and longitude coordinates of each city, we can unravel the spatial tapestry of this Scandinavian nation.
Diverse Regions of Norway**
Norway is renowned for its stunning natural beauty, encompassing diverse regions such as the fjords of the west coast, the mountains of the interior, and the vast forests of the north. Each region offers its own unique geographical features, climate patterns, and ecological significance, shaping the lives of those who call them home.
Navigating Norway's Counties**
Norway is divided into 11 counties, each with its own distinct culture, history, and administrative center. From the bustling streets of Oslo in Oslo County to the tranquil landscapes of Finnmark in the far north, mapping the counties allows us to understand the distribution of population and resources across the country.
Vibrant Cities and Coastal Communities**
Norway's cities and coastal communities are vibrant hubs of activity, innovation, and cultural exchange. Oslo, the capital city, serves as the economic and political center of the country, while cities like Bergen and Trondheim offer rich histories and stunning architecture. Coastal towns such as Tromsø and Ålesund provide access to Norway's pristine fjords and Arctic wilderness.
Unraveling Latitude and Longitude**
Obtaining the latitude and longitude coordinates of Norway's cities offers valuable insights into their spatial distribution and connectivity. From the southernmost city of Kristiansand to the northernmost city of Hammerfest, these coordinates provide precise geographical references for navigation, research, and urban planning initiatives.
Challenges and Sustainability**
Norway faces various geographic challenges, including environmental conservation, sustainable resource management, and climate change adaptation. Balancing economic development with environmental protection is crucial to preserving Norway's natural heritage for future generations. Initiatives such as renewable energy projects, sustainable forestry practices, and eco-friendly transportation options are essential steps toward achieving this goal.
Conclusion**
In conclusion, exploring Norway's geography reveals a rich tapestry of landscapes, communities, and opportunities. By obtaining data on its regions, counties, and geographic coordinates, we gain valuable insights into the spatial dynamics of this Nordic nation. As Norway continues to navigate the complexities of sustainable development and environmental stewardship, the role of geographers in understanding and addressing these challenges remains vital. Through collaboration, innovation, and a deep respect for nature, we can contribute to the continued prosperity and well-being of Norway and its people.
Download data files for Norway's cities in CSV, SQL, XML and JSON formats
Mapping the Geography of Norway: A Geographer’s Insight into Cities and Regions
Norway, known for its stunning natural beauty—from majestic fjords and rugged coastlines to vast forests and towering mountains—offers a rich field for geographical study. With its extensive coastline along the North Atlantic, rich biodiversity, and mountainous interior, Norway’s landscape is one of the most unique in Europe. For geographers, understanding the layout of Norway's cities, regions, and departments is essential for studying patterns of human settlement, environmental management, and the overall functioning of the country. Geographic data plays a crucial role in developing policies for urban planning, environmental conservation, and resource management in this northern European country. Having access to this data in a comprehensive and structured way is vital to making informed decisions.
The Administrative and Geographical Structure of Norway
Norway is divided into 11 administrative regions (called counties) and 356 municipalities, each of which varies in terms of geographic features, economic activities, and population distribution. The capital, Oslo, is located in the southeastern part of the country and serves as the political and economic center. Other major cities include Bergen, Trondheim, and Stavanger, each of which plays a key role in Norway's infrastructure, industry, and cultural identity.
Norway’s landscape is characterized by its rugged topography. The country is home to some of Europe’s highest mountains, including the Jotunheimen and Dovrefjell ranges, as well as its iconic fjords, which were carved by glaciers over millions of years. The varying terrain—ranging from coastal lowlands to high-altitude plateaus—creates distinct natural zones, each influencing how people live and work across the country. The central regions are largely rural, while urbanization is concentrated in the larger cities and coastal areas, making the geographic distribution of the population an essential factor for planners and policymakers.
Latitude and Longitude: Precision Mapping of Norway’s Cities
Latitude and longitude data are essential for creating accurate maps and conducting spatial analysis of Norway’s cities, towns, and regions. Geographic coordinates allow for precise mapping of locations, from the capital city of Oslo to remote villages located in the far north, such as Tromsø and Kirkenes. By obtaining accurate latitude and longitude coordinates, researchers and urban planners can study the spatial relationships between urban centers and their surrounding natural features, including forests, rivers, and coastlines.
The coordinates of key cities like Bergen, located on the western coast, or Trondheim, located along the Trondheimsfjord, help provide a clear picture of Norway’s urban distribution. This data also aids in assessing the accessibility of resources, transportation systems, and infrastructure. For example, cities located near the coast or navigable rivers, like Ålesund and Stavanger, tend to have historically higher levels of economic activity related to shipping and trade, while more remote cities may face different challenges related to transportation, population density, and resource distribution.
Moreover, latitude and longitude data support environmental studies, helping researchers analyze factors such as climate patterns, temperature variations, and environmental risks in different parts of the country. The precise location of cities and towns, particularly in relation to natural features like the Arctic Circle, helps geographers monitor changes in the environment and develop strategies for sustainable living.
The Need for Accessible Geographic Data Formats
To facilitate the practical use of geographic data, it must be made available in several formats that suit different research, analysis, and planning purposes. Offering data in formats such as CSV, SQL, JSON, and XML makes it possible for researchers, government officials, and developers to integrate this data into various systems and tools.
- **CSV (Comma-Separated Values):** CSV is one of the most commonly used formats for geographic data. It is simple and efficient for organizing data such as city names, populations, and geographic coordinates in tabular form. CSV files are compatible with a variety of data analysis and mapping tools, making them ideal for users who need to quickly analyze or visualize basic geographic data.
- **SQL (Structured Query Language):** SQL is useful for working with large datasets stored in relational databases. Researchers and planners can use SQL to query geographic data to analyze urban growth, assess regional disparities, or compare infrastructure development across Norway’s counties and municipalities. SQL provides powerful querying capabilities that support more complex spatial analysis and modeling of geographic data.
- **JSON (JavaScript Object Notation):** JSON is a widely used, flexible format that is ideal for web-based applications and dynamic data systems. JSON’s lightweight structure is perfect for integrating geographic data into interactive maps, location-based services, or real-time applications. For example, web applications that allow users to explore Norway’s cities and regions through an interactive interface can use JSON to deliver real-time updates about city growth, environmental conditions, or resource availability.
- **XML (Extensible Markup Language):** XML is a highly versatile format for organizing and exchanging structured data. It is particularly suited for storing hierarchical data, such as administrative boundaries, infrastructure networks, and environmental layers. Researchers or governments can use XML to share complex geographic datasets across different systems, enabling collaboration between various sectors and organizations.
By providing data in these flexible formats, users can choose the tools that best suit their needs, whether they are conducting spatial analyses, visualizing geographic data, or integrating it into web applications.
A Comprehensive Database for Norway’s Geography
For a geographer, access to a detailed and organized database of geographic data on Norway is essential for understanding the country’s urban dynamics, resource distribution, and environmental concerns. A comprehensive geographic database should include key data on cities, regions, and departments, along with latitude and longitude coordinates, population data, infrastructure information, and environmental features.
For instance, comparing data from Oslo, a densely populated urban center, with more remote regions like Finnmark in the north can provide insights into regional disparities and how geography influences the accessibility of services, economic activities, and natural resources. Similarly, a well-organized database can help urban planners study the expansion of urban areas, assess transportation needs, or determine the best locations for sustainable development projects.
Furthermore, offering this data in multiple formats—CSV, SQL, JSON, and XML—ensures that it can be used for a variety of purposes, from academic research to government planning. Whether analyzing trends in urbanization, managing infrastructure projects, or monitoring environmental changes, this data is crucial for decision-making.
Conclusion
Norway’s diverse geography, from its expansive mountain ranges and fjords to its coastal cities and remote villages, presents both challenges and opportunities for geographers, urban planners, and environmental scientists. By obtaining accurate geographic data on the cities, regions, and departments of Norway—including their latitude and longitude coordinates—researchers and policymakers can gain a deeper understanding of the country’s spatial dynamics. Offering this data in flexible formats such as CSV, SQL, JSON, and XML ensures that it can be easily accessed and integrated into a variety of research, planning, and analytical tools. This data-driven approach enhances the ability to make informed decisions about urban development, resource management, and environmental conservation, paving the way for a more sustainable future for Norway.