Liechtenstein cities list with latitude and longitude in CSV,SQL,XML,JSON formats
Last update : 10 December 2024.
This is the best list of 50 cities in the Liechtenstein 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 Liechtenstein 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
10348589 | Fromahus | LI | Triesenberg | 47.13249 | 9.53282 | 0 | Europe/Vaduz | populated place | |||
3042049 | Planken | Blanken,Planken,puranken,Планкен,プランケン | LI | Planken | 47.18516 | 9.54437 | 377 | Europe/Vaduz | seat of a first-order administrative division | ||
6545409 | Malbun | LI | Triesenberg | 47.10139 | 9.60986 | 1600 | 50 | Europe/Vaduz | populated place | ||
10352414 | Ober Ställ | LI | Planken | 47.177 | 9.54612 | 0 | Europe/Vaduz | populated place | |||
3042030 | Vaduz | Bantouz,QVU,Vaduc,Vaducas,Vaduz,Vaduzo,fadoutsu,paducheu,vadutsi,wa dou zi,Βαντούζ,Вадуц,פאדוץ,ვადუცი,ፋዱጽ,ファドゥーツ,瓦都茲,파두츠 | LI | Vaduz | 47.14151 | 9.52154 | 5197 | Europe/Vaduz | capital of a political entity | ||
3315349 | Mäls | Mals,Mäls | LI | Balzers | 47.06105 | 9.49568 | 0 | Europe/Vaduz | populated place | ||
10353699 | Fura | LI | Triesenberg | 47.10468 | 9.54552 | 0 | Europe/Vaduz | populated place | |||
3042035 | Triesen | Triesen,Trizen,torizen,Тризен,トリーゼン | LI | Triesen | 47.10752 | 9.52815 | 4701 | Europe/Vaduz | seat of a first-order administrative division | ||
10366944 | Allmeina | LI | Triesenberg | 47.12998 | 9.53888 | 0 | Europe/Vaduz | populated place | |||
10352413 | Oberplanken | LI | Planken | 47.17811 | 9.54585 | 0 | Europe/Vaduz | populated place | |||
10347562 | Loch | LI | Schellenberg | 47.22853 | 9.53413 | 0 | Europe/Vaduz | populated place | |||
10347570 | Breita | LI | Gamprin | 47.22599 | 9.51669 | 0 | Europe/Vaduz | populated place | |||
10353264 | Riethof | LI | Schaan | 47.19224 | 9.52347 | 0 | Europe/Vaduz | populated place | |||
3042068 | Eschen | Eschen,esshen,エッシェン | LI | Eschen | 47.21071 | 9.52223 | 4008 | Europe/Vaduz | seat of a first-order administrative division | ||
3042040 | Schaanwald | LI | Mauren | 47.21187 | 9.5624 | 0 | Europe/Vaduz | populated place | |||
10366929 | Foppa | LI | Triesenberg | 47.13485 | 9.54322 | 0 | Europe/Vaduz | populated place | |||
10367031 | Berg | LI | Eschen | 47.22307 | 9.53871 | 0 | Europe/Vaduz | populated place | |||
3042037 | Schellenberg | Schellenberg,sherenberuku,シェレンベルク | LI | Schellenberg | 47.23123 | 9.54678 | 1004 | Europe/Vaduz | seat of a first-order administrative division | ||
10366993 | Alpelti | LI | Triesenberg | 47.12802 | 9.55838 | 0 | Europe/Vaduz | populated place | |||
6545410 | Steg | LI | Triesenberg | 47.11266 | 9.57536 | 1400 | 50 | Europe/Vaduz | populated place | ||
10354590 | Neugrütt | Neugrutt,Neugrütt | LI | Triesen | 47.08782 | 9.52337 | 0 | Europe/Vaduz | populated place | ||
10353681 | Böda | LI | Triesenberg | 47.10618 | 9.54324 | 0 | Europe/Vaduz | populated place | |||
10347565 | Betsche | LI | Mauren | 47.22708 | 9.54814 | 0 | Europe/Vaduz | populated place | |||
10352439 | Hof | LI | Triesenberg | 47.12665 | 9.54664 | 0 | Europe/Vaduz | populated place | |||
3042041 | Schaan | Schaan,Schan,Shaan,shan,Шаан,شان,シャーン | LI | Schaan | 47.16498 | 9.50867 | 5748 | Europe/Vaduz | seat of a first-order administrative division | ||
3042046 | Ruggell | Rugell,Ruggell,Ruggell’,ruggeru,Руггелль,ルッゲル | LI | Ruggell | 47.23799 | 9.5254 | 1862 | Europe/Vaduz | seat of a first-order administrative division | ||
10347566 | Lums | LI | Gamprin | 47.22541 | 9.52606 | 0 | Europe/Vaduz | populated place | |||
3042033 | Triesenberg | Triesenberg,torizenberuku,トリーゼンベルク | LI | Triesenberg | 47.11815 | 9.54197 | 2689 | Europe/Vaduz | seat of a first-order administrative division | ||
10352426 | Mitätsch | LI | Triesenberg | 47.12501 | 9.55327 | 0 | Europe/Vaduz | populated place | |||
10366934 | Vorder Prufatscheng | LI | Triesenberg | 47.13774 | 9.53921 | 0 | Europe/Vaduz | populated place | |||
3042055 | Mauren | Mauern,Mauren,Mauren FL,mauren,マウレン | LI | Mauren | 47.21805 | 9.5442 | 3626 | Europe/Vaduz | seat of a first-order administrative division | ||
10352444 | Eggalti | LI | Triesenberg | 47.12464 | 9.54349 | 0 | Europe/Vaduz | populated place | |||
10354583 | Welda Bongert | Welda Bongert | LI | Triesen | 47.08632 | 9.52791 | 0 | Europe/Vaduz | populated place | ||
10347583 | Studaberg | LI | Gamprin | 47.22179 | 9.50841 | 0 | Europe/Vaduz | populated place | |||
3042062 | Gamprin | Gambrin,Gamprin,Gamprin-Bendern,ganpurin,Гамприн,ガンプリン | LI | Gamprin | 47.22038 | 9.50935 | 1268 | Europe/Vaduz | seat of a first-order administrative division | ||
10352545 | Bim Stall | LI | Schaan | 47.13981 | 9.60064 | 0 | Europe/Vaduz | populated place | |||
3315358 | Möliholz | Moliholz,Muhleholz,Möliholz,Mühleholz | LI | Vaduz | 47.15569 | 9.51111 | 0 | Europe/Vaduz | populated place | ||
3315354 | Silum | Silum | LI | Triesenberg | 47.13183 | 9.55377 | 0 | Europe/Vaduz | populated place | ||
10347571 | Badäl | LI | Gamprin | 47.22944 | 9.51906 | 0 | Europe/Vaduz | populated place | |||
3042073 | Balzers | Balzers,baruzasu,バルザース | LI | Balzers | 47.06665 | 9.50251 | 4447 | Europe/Vaduz | seat of a first-order administrative division | ||
10353678 | Rüti | Ruti,Rüti | LI | Triesenberg | 47.10799 | 9.54498 | 0 | Europe/Vaduz | populated place | ||
10366936 | Erbi | LI | Triesenberg | 47.13887 | 9.53363 | 0 | Europe/Vaduz | populated place | |||
3042072 | Bendern | LI | Gamprin | 47.21199 | 9.50678 | 0 | Europe/Vaduz | populated place | |||
3315356 | Masescha | Masescha | LI | Triesenberg | 47.13271 | 9.54454 | 0 | Europe/Vaduz | populated place | ||
3042052 | Nendeln | LI | Eschen | 47.19846 | 9.543 | 0 | Europe/Vaduz | populated place | |||
10352424 | Gnalp | LI | Triesenberg | 47.12286 | 9.55352 | 0 | Europe/Vaduz | populated place | |||
3315353 | Rotenboden | Rotaboda | LI | Triesenberg | 47.12972 | 9.53802 | 0 | Europe/Vaduz | populated place | ||
10366943 | Bärg | LI | Triesenberg | 47.13952 | 9.54557 | 0 | Europe/Vaduz | populated place | |||
3315351 | Wangerberg | Wangerbarg,Wangerbärg | LI | Triesenberg | 47.10589 | 9.54463 | 0 | Europe/Vaduz | populated place | ||
7670251 | Lavadina | LI | Triesenberg | 47.11459 | 9.55545 | 1047 | 0 | Europe/Vaduz | populated place |
Liechtenstein: A Geographical Exploration
Liechtenstein, a tiny yet fascinating country located in the heart of Europe, offers a unique case study for geographers interested in understanding the dynamics of small states and their interaction with neighboring countries. Nestled between Switzerland to the west and Austria to the east, this landlocked principality is characterized by its alpine landscapes, a small but highly developed economy, and a stable political system. Despite its modest size, Liechtenstein holds a significant position in terms of both geography and geopolitics. To fully appreciate its geographical features, such as its urban distribution, regional boundaries, and the role of each city within the country, it is essential to access detailed geographic data. This article will explore the country’s geography while emphasizing the value of obtaining accurate geographic data, including the latitude and longitude of its cities, for a deeper understanding of Liechtenstein’s spatial structure.
A Land of Mountains and Valleys
Liechtenstein is dominated by the alpine mountain range of the Alps, with the majority of the country’s terrain consisting of steep hills and mountains. The highest peak, the Grauspitz, reaches an elevation of 2,599 meters above sea level, providing stunning panoramic views of the surrounding landscapes. The country's topography significantly influences its settlement patterns, as most of the population resides in the Rhine River valley, where the land is flatter and more suitable for agriculture and urban development.
The Rhine River forms the western border of Liechtenstein and plays a crucial role in the country’s geography, providing a natural waterway and facilitating trade and transportation with its Swiss and Austrian neighbors. On the eastern side, the rugged mountains provide both a natural barrier and a scenic backdrop, with small villages dotting the lower altitudes. The terrain is not only important for settlement but also for tourism, with outdoor activities such as hiking, skiing, and mountaineering drawing visitors to the country year-round.
Understanding the geographical division between the mountainous areas and the valley regions is crucial for analyzing urbanization, resource distribution, and economic activity. With the majority of Liechtenstein’s infrastructure concentrated in the flatter, more accessible areas, accessing geographic data such as the coordinates of cities and regions helps to understand how urban areas interact with the surrounding natural environment.
The Cities and Regions of Liechtenstein
Liechtenstein is composed of 11 municipalities, with its capital, Vaduz, being the political and cultural center of the country. Vaduz, located along the Rhine River, is not only the seat of the government but also a key location for cultural institutions, including the Liechtenstein National Museum and the Liechtenstein Art Museum. The city’s proximity to Switzerland and its role as the country's administrative center make it an essential hub for business and governance.
Other key cities include Schaan, the largest municipality in Liechtenstein and the economic powerhouse of the country. Schaan is home to the bulk of the country's industries and commercial activity, and it has a well-developed infrastructure that supports both local and international business. Smaller towns, such as Balzers, Eschen, and Nendeln, offer a mix of residential areas and local commerce, often situated along the banks of the Rhine River or nestled in the lower regions of the mountains.
Liechtenstein’s cities are evenly distributed across its two primary regions: the western region of Upper Liechtenstein and the eastern region of Lower Liechtenstein. The towns and municipalities in the western part of the country, such as Vaduz and Balzers, are closer to the Swiss border, while the eastern region includes cities like Eschen, Schaan, and Nendeln, which are positioned closer to Austria.
Geographic data, such as the precise latitude and longitude of each of Liechtenstein’s municipalities, is essential for gaining a full understanding of the spatial organization of these cities and their relationship to the surrounding regions. By examining the location of each urban center within its respective region, geographers can better assess how geography influences urban growth, infrastructure, and economic activity.
The Importance of Geographic Data for Liechtenstein
Given its small size and unique geography, accurate geographic data is vital for anyone studying Liechtenstein. Understanding the spatial relationships between its cities, regions, and natural features is key to addressing the country's development challenges, including urbanization, resource management, and sustainable growth. Geographic data provides essential insights for decision-makers, urban planners, and researchers who need to make informed choices about infrastructure development, environmental conservation, and economic planning.
For example, geographic data on the location of Liechtenstein's cities and their proximity to the borders with Switzerland and Austria helps in assessing cross-border trade, transportation networks, and regional cooperation. Liechtenstein's economy is highly integrated with its neighbors, and having precise geographic data is critical for understanding how these economic relationships impact the country’s development.
Moreover, the mountainous terrain and limited arable land present challenges in terms of agriculture and housing. By obtaining detailed geographic data on the distribution of urban centers and rural regions, planners can better allocate resources to areas that need infrastructure development, such as roads, housing, and energy supply. Additionally, understanding the topography helps in planning for environmental conservation efforts, particularly in maintaining the natural beauty of the mountains while supporting sustainable tourism.
Enhancing Research with Geographic Data
To gain a deeper understanding of Liechtenstein’s geography and urban development, access to comprehensive geographic data is crucial. Our database provides detailed information on the cities, regions, and departments of Liechtenstein, including their exact latitude and longitude. This data is invaluable for researchers, urban planners, and policymakers who need to study urbanization trends, regional development, and the impact of geography on economic and social outcomes.
Geographic data can be used to analyze patterns of growth, the distribution of resources, and the relationship between urban centers and surrounding natural environments. For example, by understanding the location of key cities such as Vaduz and Schaan, researchers can assess the effects of population growth on infrastructure, land use, and environmental sustainability. Furthermore, by studying the geographic distribution of towns and villages across the mountainous areas, researchers can explore the challenges and opportunities for rural development.
Access to accurate geographic data also allows for the study of transportation networks, including roads, railways, and airports, which are vital for connecting Liechtenstein’s cities and facilitating trade with Switzerland and Austria. The geographic positioning of these networks can help in identifying potential areas for improvement or expansion, ensuring that infrastructure supports the country’s growth.
Conclusion
Liechtenstein’s geography, with its alpine landscapes, fertile valleys, and strategically located cities, plays a central role in shaping the country’s urbanization, economy, and development. The distribution of cities across its two primary regions reflects the country’s diverse topography and the challenges and opportunities posed by its mountainous terrain. Understanding the spatial dynamics of Liechtenstein is crucial for planning and development, and geographic data—such as the latitude and longitude of cities and regions—is essential for a deeper understanding of the country’s structure. With a comprehensive geographic database, researchers, urban planners, and policymakers can make informed decisions that promote sustainable growth, resource management, and regional development in Liechtenstein.
FaQ about Liechtenstein
- 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.