Liechtenstein Cities with Latitude & Longitude â Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here youâll find a curated sample of 100 key cities from Liechtenstein, each with essential data points such as latitude, longitude, administrative region, and other relevant attributes.
This preview is extracted from our full dataset, which includes a total of 50 geographic locations across Liechtenstein.
Whether youâre working on mapping, analytics, or app development, the data is available for both personal and commercial use.
All entries can be downloaded in five formats: Excel (.xlsx), CSV, SQL, JSON, and XML.
Capital Highlight: The official capital city of Liechtenstein is Vaduz.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3042052 | Nendeln | LI | Eschen | 47.19846 | 9.543 | 0 | Europe/Vaduz | populated place | |||
| 3315356 | Masescha | Masescha | LI | Triesenberg | 47.13271 | 9.54454 | 0 | Europe/Vaduz | populated place | ||
| 3315351 | Wangerberg | Wangerbarg,WangerbÀrg | LI | Triesenberg | 47.10589 | 9.54463 | 0 | Europe/Vaduz | populated place | ||
| 10347583 | Studaberg | LI | Gamprin | 47.22179 | 9.50841 | 0 | Europe/Vaduz | populated place | |||
| 10366944 | Allmeina | LI | Triesenberg | 47.12998 | 9.53888 | 0 | Europe/Vaduz | populated place | |||
| 3042035 | Triesen | Triesen,Trizen,torizen,ĐąŃĐžĐ·Đ”Đœ,ăăȘăŒăŒăł | 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 | ||
| 6545410 | Steg | LI | Triesenberg | 47.11266 | 9.57536 | 1400 | 50 | Europe/Vaduz | populated place | ||
| 10347562 | Loch | LI | Schellenberg | 47.22853 | 9.53413 | 0 | Europe/Vaduz | populated place | |||
| 3042041 | Schaan | Schaan,Schan,Shaan,shan,ĐšĐ°Đ°Đœ,ێۧÙ,ă·ăŁăŒăł | LI | Schaan | 47.16498 | 9.50867 | 5748 | Europe/Vaduz | seat of a first-order administrative division | ||
| 6545409 | Malbun | LI | Triesenberg | 47.10139 | 9.60986 | 1600 | 50 | Europe/Vaduz | populated place | ||
| 3042033 | Triesenberg | Triesenberg,torizenberuku,ăăȘăŒăŒăłăă«ăŻ | LI | Triesenberg | 47.11815 | 9.54197 | 2689 | Europe/Vaduz | seat of a first-order administrative division | ||
| 3042073 | Balzers | Balzers,baruzasu,ăă«ă¶ăŒăč | LI | Balzers | 47.06665 | 9.50251 | 4447 | Europe/Vaduz | seat of a first-order administrative division | ||
| 3042062 | Gamprin | Gambrin,Gamprin,Gamprin-Bendern,ganpurin,ĐĐ°ĐŒĐżŃĐžĐœ,ăŹăłăăȘăł | LI | Gamprin | 47.22038 | 9.50935 | 1268 | Europe/Vaduz | seat of a first-order administrative division | ||
| 3315358 | Möliholz | Moliholz,Muhleholz,Möliholz,MĂŒhleholz | LI | Vaduz | 47.15569 | 9.51111 | 0 | Europe/Vaduz | populated place | ||
| 10352414 | Ober StÀll | LI | Planken | 47.177 | 9.54612 | 0 | Europe/Vaduz | populated place | |||
| 3042068 | Eschen | Eschen,esshen,ăšăă·ă§ăł | LI | Eschen | 47.21071 | 9.52223 | 4008 | Europe/Vaduz | seat of a first-order administrative division | ||
| 10353699 | Fura | LI | Triesenberg | 47.10468 | 9.54552 | 0 | Europe/Vaduz | populated place | |||
| 10347565 | Betsche | LI | Mauren | 47.22708 | 9.54814 | 0 | Europe/Vaduz | populated place | |||
| 10347566 | Lums | LI | Gamprin | 47.22541 | 9.52606 | 0 | Europe/Vaduz | populated place | |||
| 3042040 | Schaanwald | LI | Mauren | 47.21187 | 9.5624 | 0 | Europe/Vaduz | populated place | |||
| 10366936 | Erbi | LI | Triesenberg | 47.13887 | 9.53363 | 0 | Europe/Vaduz | populated place | |||
| 10353678 | RĂŒti | Ruti,RĂŒti | LI | Triesenberg | 47.10799 | 9.54498 | 0 | Europe/Vaduz | populated place | ||
| 10366943 | BĂ€rg | LI | Triesenberg | 47.13952 | 9.54557 | 0 | Europe/Vaduz | populated place | |||
| 3315349 | MĂ€ls | Mals,MĂ€ls | LI | Balzers | 47.06105 | 9.49568 | 0 | Europe/Vaduz | populated place | ||
| 10352545 | Bim Stall | LI | Schaan | 47.13981 | 9.60064 | 0 | Europe/Vaduz | populated place | |||
| 10353681 | Böda | LI | Triesenberg | 47.10618 | 9.54324 | 0 | Europe/Vaduz | populated place | |||
| 10348589 | Fromahus | LI | Triesenberg | 47.13249 | 9.53282 | 0 | Europe/Vaduz | populated place | |||
| 3042030 | Vaduz | Bantouz,QVU,Vaduc,Vaducas,Vaduz,Vaduzo,fadoutsu,paducheu,vadutsi,wa dou zi,ÎαΜÏÎżÏζ,ĐаЎŃŃ,Ś€ŚŚŚŚ„,ááááŁáȘá,áá±áœ,ăăĄăă„ăŒă,çŠéœèČ,íëìž | LI | Vaduz | 47.14151 | 9.52154 | 5197 | Europe/Vaduz | capital of a political entity | ||
| 3315353 | Rotenboden | Rotaboda | LI | Triesenberg | 47.12972 | 9.53802 | 0 | Europe/Vaduz | populated place | ||
| 10353264 | Riethof | LI | Schaan | 47.19224 | 9.52347 | 0 | Europe/Vaduz | populated place | |||
| 3042055 | Mauren | Mauern,Mauren,Mauren FL,mauren,ăăŠăŹăł | LI | Mauren | 47.21805 | 9.5442 | 3626 | Europe/Vaduz | seat of a first-order administrative division | ||
| 3042046 | Ruggell | Rugell,Ruggell,Ruggellâ,ruggeru,Đ ŃггДллŃ,ă«ăăČă« | LI | Ruggell | 47.23799 | 9.5254 | 1862 | Europe/Vaduz | seat of a first-order administrative division | ||
| 10367031 | Berg | LI | Eschen | 47.22307 | 9.53871 | 0 | Europe/Vaduz | populated place | |||
| 10352444 | Eggalti | LI | Triesenberg | 47.12464 | 9.54349 | 0 | Europe/Vaduz | populated place | |||
| 10352426 | MitÀtsch | LI | Triesenberg | 47.12501 | 9.55327 | 0 | Europe/Vaduz | populated place | |||
| 10366929 | Foppa | LI | Triesenberg | 47.13485 | 9.54322 | 0 | Europe/Vaduz | populated place | |||
| 3042049 | Planken | Blanken,Planken,puranken,ĐĐ»Đ°ĐœĐșĐ”Đœ,ăă©ăłă±ăł | LI | Planken | 47.18516 | 9.54437 | 377 | Europe/Vaduz | seat of a first-order administrative division | ||
| 10347570 | Breita | LI | Gamprin | 47.22599 | 9.51669 | 0 | Europe/Vaduz | populated place | |||
| 10352413 | Oberplanken | LI | Planken | 47.17811 | 9.54585 | 0 | Europe/Vaduz | populated place | |||
| 3042072 | Bendern | LI | Gamprin | 47.21199 | 9.50678 | 0 | Europe/Vaduz | populated place | |||
| 10347571 | BadÀl | LI | Gamprin | 47.22944 | 9.51906 | 0 | Europe/Vaduz | populated place | |||
| 10352424 | Gnalp | LI | Triesenberg | 47.12286 | 9.55352 | 0 | Europe/Vaduz | populated place | |||
| 3042037 | Schellenberg | Schellenberg,sherenberuku,ă·ă§ăŹăłăă«ăŻ | LI | Schellenberg | 47.23123 | 9.54678 | 1004 | Europe/Vaduz | seat of a first-order administrative division | ||
| 10354590 | NeugrĂŒtt | Neugrutt,NeugrĂŒtt | LI | Triesen | 47.08782 | 9.52337 | 0 | Europe/Vaduz | populated place | ||
| 10366934 | Vorder Prufatscheng | LI | Triesenberg | 47.13774 | 9.53921 | 0 | Europe/Vaduz | populated place | |||
| 3315354 | Silum | Silum | LI | Triesenberg | 47.13183 | 9.55377 | 0 | Europe/Vaduz | populated place | ||
| 10352439 | Hof | LI | Triesenberg | 47.12665 | 9.54664 | 0 | Europe/Vaduz | populated place | |||
| 10354583 | Welda Bongert | Welda Bongert | LI | Triesen | 47.08632 | 9.52791 | 0 | Europe/Vaduz | populated place | ||
| 10366993 | Alpelti | LI | Triesenberg | 47.12802 | 9.55838 | 0 | Europe/Vaduz | populated place |
Liechtenstein: Mapping a Microstate with Macro Precision
A Country Measured in Detail, Not Size
Liechtenstein may stretch just 25 kilometers from north to south, but from a geographerâs lens, this alpine jewel offers a richness of data that far exceeds its modest surface area. Nestled between Austria and Switzerland, Liechtenstein is often overlooked in global datasets, casually lumped into broader European aggregates. But this is a mistakeâa mistake Iâve worked hard to correct.
The principalityâs eleven municipalities are not just administrative zones; they are steeped in historical boundaries, nestled in valleys, or perched along rivers, each with its own geographic and socio-economic signature. And in an era where microdata drives macro-decisions, precision is everything.
The Challenge of Comprehensive Micro-Geography
Contrary to what many assume, the smaller the country, the harder it can be to find detailed, structured data. Many global datasets treat Liechtenstein as a statistical afterthought, omitting key differentiators like municipal hierarchies, region-to-department mappings, or reliable geospatial identifiers. Thatâs exactly why I built a custom dataset: to capture Liechtenstein at full resolution.
This database doesnât just list municipalities like Vaduz or Balzersâit categorizes them by region, department (where applicable), and geographical coordinates with unmatched precision.
Latitude and Longitude: Anchoring the Invisible
In a terrain where elevation shifts rapidly and rivers define political lines, pinpoint accuracy matters. Our dataset includes the precise latitude and longitude of every city and town in Liechtensteinâessential for logistics planners, GIS specialists, and anyone relying on accurate mapping inputs. You can no longer afford to approximate when real spatial intelligence is possible.
Excel Format: The Backbone of Data Usability
Letâs talk format. If you're serious about working with city-level data, you already know the value of Excel. Iâve made sure that this dataset is not only available in Excel (.xlsx), but optimized for it. Structured headers, no encoding issues, filter-ready formattingâthis isnât a rough export, itâs a tool ready to work the moment you open it.
For those integrating the data into code or databases, we also provide CSV, SQL, JSON, and XML formats. But make no mistake: Excel is the flagship. Itâs where clarity meets flexibility, and itâs especially ideal for demographic segmentation, custom dashboards, or comparative regional analysis.
What Youâll Find Inside
This isnât just a listâitâs an engine for insight. The data package includes:
* Every city and town in Liechtenstein
* Associated regional and departmental classification
* Latitude and longitude coordinates for exact mapping
* Formats: Excel (.xlsx), CSV, SQL, JSON, XML
And because Liechtensteinâs geography plays an outsized role in its culture, politics, and economy, every field in this dataset was chosen with practical application in mind.
Rewriting the Geographic Narrative of Liechtenstein
When people think of Liechtenstein, they think of wealth, mountains, perhaps neutrality. But for us, the true story lies in the spatial relationshipsâthe way Triesen connects to the Rhine corridor, or how Schaan serves as a geographic pivot between industry and government. These are patterns invisible to the casual observer, but not to those who work with data at scale.
My goal is simple: to elevate Liechtenstein from a footnote to a focal point. With this dataset, that becomes possible. Whether youâre plotting regional development, managing assets, or simply trying to understand the lay of the landânow you have the data to do it right.
Precision Matters, Even in Small Places
Big insights donât only come from big countries. Sometimes, itâs the microstatesâthe overlooked, under-mapped territories like Liechtensteinâthat yield the most fascinating data stories. But only if the data exists, and only if itâs structured with care.
Thatâs what this dataset offers: the foundation for precision mapping, regional analysis, and informed geographic work, powered by formats you can trustâespecially Excel. Because size doesnât matter when the data speaks clearly.
