Liechtenstein cities list with latitude and longitude in Excel, CSV, XML, SQL, JSON formats
Last update : 20 January 2026.
Below is a list of 100 prominent cities in Liechtenstein. Each row includes a city's latitude, longitude, region and other variables of interest. This is a subset of all 50 places in Liechtenstein 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 Liechtenstein is Vaduz.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | ||
| 3315349 | Mäls | Mals,Mäls | LI | Balzers | 47.06105 | 9.49568 | 0 | Europe/Vaduz | populated place | ||
| 3315358 | Möliholz | Moliholz,Muhleholz,Möliholz,Mühleholz | LI | Vaduz | 47.15569 | 9.51111 | 0 | Europe/Vaduz | populated place | ||
| 10352439 | Hof | LI | Triesenberg | 47.12665 | 9.54664 | 0 | Europe/Vaduz | populated place | |||
| 10366934 | Vorder Prufatscheng | LI | Triesenberg | 47.13774 | 9.53921 | 0 | Europe/Vaduz | populated place | |||
| 3315356 | Masescha | Masescha | LI | Triesenberg | 47.13271 | 9.54454 | 0 | Europe/Vaduz | populated place | ||
| 10353699 | Fura | LI | Triesenberg | 47.10468 | 9.54552 | 0 | Europe/Vaduz | populated place | |||
| 3042072 | Bendern | LI | Gamprin | 47.21199 | 9.50678 | 0 | Europe/Vaduz | populated place | |||
| 3042040 | Schaanwald | LI | Mauren | 47.21187 | 9.5624 | 0 | Europe/Vaduz | populated place | |||
| 3315354 | Silum | Silum | LI | Triesenberg | 47.13183 | 9.55377 | 0 | Europe/Vaduz | populated place | ||
| 10366936 | Erbi | LI | Triesenberg | 47.13887 | 9.53363 | 0 | Europe/Vaduz | populated place | |||
| 10352426 | Mitätsch | LI | Triesenberg | 47.12501 | 9.55327 | 0 | Europe/Vaduz | populated place | |||
| 10366993 | Alpelti | LI | Triesenberg | 47.12802 | 9.55838 | 0 | Europe/Vaduz | populated place | |||
| 10347565 | Betsche | LI | Mauren | 47.22708 | 9.54814 | 0 | Europe/Vaduz | populated place | |||
| 6545410 | Steg | LI | Triesenberg | 47.11266 | 9.57536 | 1400 | 50 | 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 | ||
| 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 | ||
| 10352545 | Bim Stall | LI | Schaan | 47.13981 | 9.60064 | 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 | ||
| 10354590 | Neugrütt | Neugrutt,Neugrütt | LI | Triesen | 47.08782 | 9.52337 | 0 | Europe/Vaduz | populated place | ||
| 3315351 | Wangerberg | Wangerbarg,Wangerbärg | LI | Triesenberg | 47.10589 | 9.54463 | 0 | Europe/Vaduz | populated place | ||
| 10352424 | Gnalp | LI | Triesenberg | 47.12286 | 9.55352 | 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 | ||
| 10352413 | Oberplanken | LI | Planken | 47.17811 | 9.54585 | 0 | Europe/Vaduz | populated place | |||
| 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 | ||
| 10347583 | Studaberg | LI | Gamprin | 47.22179 | 9.50841 | 0 | Europe/Vaduz | populated place | |||
| 10347570 | Breita | LI | Gamprin | 47.22599 | 9.51669 | 0 | Europe/Vaduz | populated place | |||
| 10352414 | Ober Ställ | LI | Planken | 47.177 | 9.54612 | 0 | Europe/Vaduz | populated place | |||
| 10348589 | Fromahus | LI | Triesenberg | 47.13249 | 9.53282 | 0 | Europe/Vaduz | populated place | |||
| 10347571 | Badäl | LI | Gamprin | 47.22944 | 9.51906 | 0 | Europe/Vaduz | populated place | |||
| 3315353 | Rotenboden | Rotaboda | LI | Triesenberg | 47.12972 | 9.53802 | 0 | Europe/Vaduz | populated place | ||
| 10347566 | Lums | LI | Gamprin | 47.22541 | 9.52606 | 0 | Europe/Vaduz | populated place | |||
| 10367031 | Berg | LI | Eschen | 47.22307 | 9.53871 | 0 | Europe/Vaduz | populated place | |||
| 10366943 | Bärg | LI | Triesenberg | 47.13952 | 9.54557 | 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 | ||
| 7670251 | Lavadina | LI | Triesenberg | 47.11459 | 9.55545 | 1047 | 0 | Europe/Vaduz | populated place | ||
| 10353264 | Riethof | LI | Schaan | 47.19224 | 9.52347 | 0 | Europe/Vaduz | populated place | |||
| 3042052 | Nendeln | LI | Eschen | 47.19846 | 9.543 | 0 | Europe/Vaduz | populated place | |||
| 10366929 | Foppa | LI | Triesenberg | 47.13485 | 9.54322 | 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 | ||
| 10353678 | Rüti | Ruti,Rüti | LI | Triesenberg | 47.10799 | 9.54498 | 0 | Europe/Vaduz | populated place | ||
| 10366944 | Allmeina | LI | Triesenberg | 47.12998 | 9.53888 | 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 | ||
| 6545409 | Malbun | LI | Triesenberg | 47.10139 | 9.60986 | 1600 | 50 | Europe/Vaduz | populated place | ||
| 10347562 | Loch | LI | Schellenberg | 47.22853 | 9.53413 | 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 | ||
| 10353681 | Böda | LI | Triesenberg | 47.10618 | 9.54324 | 0 | Europe/Vaduz | populated place | |||
| 10352444 | Eggalti | LI | Triesenberg | 47.12464 | 9.54349 | 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 | ||
| 10354583 | Welda Bongert | Welda Bongert | LI | Triesen | 47.08632 | 9.52791 | 0 | Europe/Vaduz | populated place |
**Exploring Liechtenstein: A Geographer's Perspective**
Introduction**
Embarking on an exploration of Liechtenstein's geographical landscape is akin to stepping into a world where Alpine vistas, quaint villages, and rich cultural heritage converge in the heart of Europe. As a geographer driven by a deep fascination for understanding the intricacies of our planet's terrains, delving into the spatial dynamics of Liechtenstein offers a captivating journey. In this narrative, we embark on a quest to obtain geographical data encompassing the towns, regions, and districts of Liechtenstein, with a particular focus on uncovering the latitude and longitude coordinates of each urban center.
Discovering Liechtenstein: Jewel of the Alps**
Liechtenstein, nestled between Switzerland and Austria, is one of the smallest yet most picturesque countries in the world. From the rugged peaks of the Rätikon range to the tranquil shores of the Rhine River, the geography of Liechtenstein is characterized by its stunning Alpine landscapes. Beyond its natural beauty lie charming villages, medieval castles, and a rich cultural heritage deeply rooted in European history. As we set out to explore its towns and settlements, we are immersed in a world of beauty and intrigue.
Navigating Administrative Divisions: Understanding Liechtenstein's Territorial Framework**
Within Liechtenstein's administrative structure lie divisions that offer insights into the country's governance and spatial organization. From the municipalities of Vaduz and Schaan to the rural communities of Triesenberg and Balzers, each administrative unit plays a unique role in shaping Liechtenstein's geography. Delving deeper into the regions and districts of Liechtenstein allows us to gain a greater understanding of its cultural, economic, and environmental landscapes.
Data Quest: Capturing Latitude and Longitude Coordinates**
Central to our exploration is the quest to obtain precise geographic coordinates, unlocking the spatial essence of Liechtenstein's towns and settlements. Latitude and longitude data serve as our guiding compass, leading us through the charming streets of urban centers and the idyllic landscapes of rural communities. From the historic landmarks of Vaduz to the panoramic viewpoints of Malbun, each set of coordinates reveals a new facet of Liechtenstein's geographical diversity.
Interpreting Insights: From Data to Geographic Understanding**
As data accumulates, meticulously gathered and analyzed, patterns emerge, offering insights into Liechtenstein's urban development, population distribution, and environmental characteristics. Through the lens of geographic data, we gain a deeper appreciation for the interplay between human activity and the natural environment. From the fertile valleys of Eschen to the pristine forests of Triesen, Liechtenstein's geography reflects a harmonious coexistence between tradition and modernity.
Challenges and Reflections: Navigating the Geographical Terrain**
Yet, our journey is not without its challenges. The rugged terrain and limited space of Liechtenstein pose unique obstacles in obtaining accurate geographical data. From navigating through mountainous regions to accessing information from remote villages, the pursuit of geographic knowledge demands patience, perseverance, and a deep respect for the country's natural heritage.
Conclusion**
In conclusion, Liechtenstein stands as a testament to the beauty and resilience of small European nations. Through the lens of geographic data acquisition, we embark on a journey to unravel the spatial intricacies of this dynamic country. As we delve deeper into Liechtenstein's towns and settlements, armed with geographical coordinates and a spirit of inquiry, we are reminded of the profound interconnectedness between data and geographic understanding, paving the way for new discoveries and insights in the field of geography.

Download data files for Liechtenstein's cities in Excel (.xlsx), CSV, SQL, XML and JSON formats
Geographic Data for Urban and Regional Planning in Liechtenstein
Liechtenstein, a small yet strategically located country nestled between Switzerland and Austria, offers unique geographic characteristics that shape its urbanization and regional development. Despite its compact size, the country’s terrain features mountains, valleys, and the flowing Rhine River, each playing a pivotal role in both the natural environment and the socio-economic structure. Understanding the spatial distribution of Liechtenstein’s cities, regions, and municipalities is crucial for effective urban planning, infrastructure development, and sustainable resource management. Geographic data plays an essential role in this process by enabling decision-makers to make informed choices that promote balanced growth, economic prosperity, and environmental preservation.
Accurate geographic data, including the locations of cities, their regional divisions, and precise latitude and longitude coordinates, provides essential information for urban planning, transportation, and resource distribution. Access to this data in formats such as CSV, SQL, JSON, and XML allows planners, researchers, and government officials to analyze spatial patterns and integrate these insights into their decision-making processes.
Liechtenstein's Administrative Structure: Municipalities and Regions
Liechtenstein’s political and administrative structure is characterized by its division into 11 municipalities (Gemeinden). These municipalities, while small in comparison to those of larger countries, each have unique characteristics and governance structures. Vaduz, the capital, is the economic and cultural heart of the country, while other municipalities such as Schaan, Balzers, and Eschen play essential roles in the nation’s economy and infrastructure.
The country is divided into two primary regions: the Oberland (Upper Land) and the Unterland (Lower Land). These regions, while geographically close, differ in terms of topography, economic activity, and population density. The Oberland is dominated by mountainous areas, while the Unterland is more accessible and urbanized. By understanding the geographic distribution of cities and municipalities across these regions, planners can ensure that infrastructure development, such as roads, utilities, and public services, meets the specific needs of each area.
Geographic data on the cities and regions of Liechtenstein is essential for managing development effectively. It enables decision-makers to allocate resources strategically, plan for sustainable growth, and monitor the impact of urbanization on the environment.
Latitude and Longitude: Mapping Liechtenstein for Infrastructure Development
The precise geographic coordinates of cities, municipalities, and natural features are crucial for managing infrastructure and ensuring connectivity across Liechtenstein. The country’s location between Switzerland and Austria means that its transportation and economic systems are closely integrated with its neighbors. Accurate latitude and longitude data allows planners to design efficient transportation routes, optimize land use, and coordinate with neighboring countries on cross-border projects.
For example, Vaduz, the capital, is situated near the Rhine River, which provides natural boundaries and opportunities for trade and transportation. The exact geographic coordinates of Vaduz and other municipalities enable planners to design more effective road networks, transit systems, and utility grids that connect various parts of the country and facilitate cross-border trade.
Similarly, understanding the geographic coordinates of other areas like Schaan, which is the largest municipality by population and a hub for industry and commerce, allows for more efficient urban planning and the creation of spaces for housing, businesses, and public amenities. Latitude and longitude data also helps in the identification of sites for renewable energy projects, such as wind or solar farms, which are key to Liechtenstein's sustainability efforts.
Data Formats for Geographic Integration and Spatial Analysis
For geographic data to be most effective, it needs to be available in formats that can be easily accessed and integrated into various platforms used by urban planners, researchers, and government authorities. By offering geographic data in formats such as CSV, SQL, JSON, and XML, Liechtenstein ensures that this valuable information can be used effectively by all stakeholders involved in planning and decision-making.
- **CSV (Comma-Separated Values)** is a widely used and accessible format for organizing geographic data in tabular form. Information on Liechtenstein's cities, population statistics, and infrastructure data can be stored in CSV files, making it easy to analyze trends in urbanization, infrastructure needs, and service delivery. Urban planners and researchers can use this data to create visualizations, reports, and forecasts.
- **SQL (Structured Query Language)** is essential for managing large datasets and performing complex queries. Geographic data on Liechtenstein’s cities, municipalities, and natural features can be stored in SQL databases, allowing for efficient spatial queries and analysis. SQL enables planners to assess correlations between urban growth and infrastructure development, identify areas in need of improvement, and forecast future demands.
- **JSON (JavaScript Object Notation)** is commonly used for transmitting data in web applications and APIs. Geographic data in JSON format can be integrated into interactive mapping tools or mobile apps that allow users to visualize real-time data on Liechtenstein’s cities and infrastructure. JSON’s lightweight structure makes it ideal for dynamic, user-friendly applications that provide real-time geographic information.
- **XML (Extensible Markup Language)** is ideal for organizing hierarchical geographic data. XML can be used to structure relationships between Liechtenstein’s cities, municipalities, and departments, providing a clear and consistent format for organizing spatial data. XML is especially useful for ensuring that geographic data can be easily shared and exchanged between different systems and platforms.
Urbanization and Infrastructure Challenges in Liechtenstein
Liechtenstein is one of the smallest countries in the world by land area, but it faces unique challenges as its population grows and urbanizes. The capital, Vaduz, is experiencing urban growth as people move from rural areas to urban centers in search of better opportunities. The demand for housing, infrastructure, and services is on the rise, and geographic data is essential for addressing these challenges in a sustainable way.
Urban planning in Vaduz, Schaan, and other growing municipalities relies heavily on geographic data to ensure that new developments are integrated into existing systems. By analyzing the distribution of infrastructure and services, planners can determine where new residential neighborhoods, schools, parks, and healthcare facilities should be located. Geographic data also helps identify areas where transportation systems need to be expanded or improved to meet the needs of growing urban populations.
Moreover, rural areas in the Oberland region, with their mountainous terrain, face different challenges related to accessibility and infrastructure development. Geographic data allows planners to identify which rural areas need better access to roads, electricity, and water services, ensuring that all regions of Liechtenstein benefit from development.
Environmental Sustainability and Resource Management
Liechtenstein is committed to maintaining a high standard of environmental sustainability. With a focus on preserving its natural landscapes and reducing its carbon footprint, the country requires accurate geographic data to manage its resources effectively. From the lush alpine forests to the river valleys, geographic data is essential for managing land use, protecting biodiversity, and planning for renewable energy projects.
By mapping the locations of forests, agricultural land, and conservation areas, policymakers can ensure that natural resources are managed sustainably. Geographic data can also be used to monitor land use changes, deforestation, and urban sprawl, which helps in the implementation of conservation programs and sustainable land management practices.
Renewable energy plays a key role in Liechtenstein’s sustainability efforts. Geographic data helps identify optimal locations for wind and solar energy installations by considering factors such as land availability, solar exposure, and wind patterns. This data is also crucial for monitoring energy consumption and improving the efficiency of energy systems across the country.
Disaster Risk Management and Climate Change Adaptation
Despite its small size, Liechtenstein is vulnerable to natural disasters, particularly floods, landslides, and extreme weather events, which are increasingly linked to climate change. Accurate geographic data is essential for disaster risk management and climate adaptation strategies, helping authorities identify areas at risk and plan for future climate scenarios.
By mapping flood-prone areas and designing flood control measures, such as dams, levees, and drainage systems, Liechtenstein can protect its urban and rural populations from the impacts of extreme weather. Similarly, geographic data can be used to assess the vulnerability of infrastructure to landslides, particularly in the mountainous regions, allowing for targeted mitigation efforts.
In terms of climate change adaptation, geographic data helps in identifying regions that are most at risk from rising temperatures, extreme weather, and changing precipitation patterns. This data informs policies that focus on resilience, such as the development of climate-resilient infrastructure and the promotion of water conservation strategies.
Conclusion
Geographic data on Liechtenstein’s cities, municipalities, and regions—including precise latitude and longitude coordinates—is critical for urban planning, resource management, environmental sustainability, and disaster preparedness. By offering this data in accessible formats such as CSV, SQL, JSON, and XML, Liechtenstein ensures that its stakeholders can make informed, data-driven decisions for the country’s development. With the right geographic data, Liechtenstein can effectively address its urbanization challenges, optimize infrastructure, and protect its natural environment, ensuring a sustainable and resilient future for all its citizens.