Lithuania Cities with Latitude & Longitude – Download in Excel, CSV, SQL, JSON, XML
Last update : 23 March 2026.
Here you’ll find a curated sample of 100 key cities from Lithuania, 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 19596 geographic locations across Lithuania.
Whether you’re 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 Lithuania is Vilnius.
| Geoname_ID | City | Alternate_Name | Country_Code | Region | Sub_region | Latitude | Longitude | Elevation | Population | Timezone | Fcode_Name |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 11295295 | Berešiškės | Beresiskes,Berešiškės | LT | Vilnius | Šalčininkai | 54.45024 | 25.60386 | 0 | Europe/Vilnius | populated place | |
| 11307871 | Pasiekai | Pasiekai | LT | Kaunas | Kėdainiai | 55.50568 | 23.85221 | 0 | Europe/Vilnius | populated place | |
| 11306146 | Gegužiai | Geguziai,Gegužiai | LT | Siauliai | Šiaulių rajonas | 55.89023 | 23.27958 | 0 | Europe/Vilnius | populated place | |
| 597559 | Lelikoniai | Lelekan’tse,Lelekan’tse,Lelikoniai,Lelikoniu,Lelikonių,Lelikonys | LT | Vilnius | Ukmergė | 55.15519 | 25.13947 | 0 | Europe/Vilnius | populated place | |
| 11292349 | Cebatoriai | Cebatoriai | LT | Utena | Ignalina | 55.27437 | 26.28733 | 0 | Europe/Vilnius | populated place | |
| 11311658 | Trakai | Trakai | LT | Vilnius | Ukmergė | 55.18129 | 24.76358 | 0 | Europe/Vilnius | populated place | |
| 596774 | Nasrėnai | Nasrenai,Nasrėnai,Nasvenay | LT | Klaipėda County | Kretinga | 55.98898 | 21.51993 | 0 | Europe/Vilnius | populated place | |
| 11295013 | Petravas | Petravas | LT | Vilnius | Vilnius District Municipality | 54.94186 | 25.59124 | 0 | Europe/Vilnius | populated place | |
| 11308046 | Raudondvaris | Raudondvaris | LT | Siauliai | Radviliškis | 55.74977 | 23.79962 | 0 | Europe/Vilnius | populated place | |
| 600919 | Užvėnai | Asvenai,Ašvėnai,Uzvenai,Užvėnai | LT | Klaipėda County | Klaipėdos rajonas | 55.5746 | 21.84036 | 0 | Europe/Vilnius | populated place | |
| 11311550 | Medinai | Medinai | LT | Kaunas | Jonava | 55.06314 | 24.56359 | 0 | Europe/Vilnius | populated place | |
| 11295307 | Magdeliava | Magdeliava | LT | Vilnius | Šalčininkai | 54.41839 | 25.55981 | 0 | Europe/Vilnius | populated place | |
| 598351 | Naudvaris | Kasikenai,Kasikėnai,Naudvaris | LT | Tauragė County | Jurbarkas | 55.05009 | 22.47139 | 0 | Europe/Vilnius | populated place | |
| 595736 | Pivorai | Pivorai,Pivovary | LT | Utena | Ignalina | 55.30443 | 26.74372 | 0 | Europe/Vilnius | populated place | |
| 596137 | Panemunis | Panemunis,Ponemune | LT | Kaunas | Birštonas | 54.56053 | 24.02104 | 0 | Europe/Vilnius | populated place | |
| 599101 | Gudaičiai | Gudaiciai,Gudaičiai,Gudaytse | LT | Marijampolė County | Sakiai | 54.79138 | 23.01576 | 0 | Europe/Vilnius | populated place | |
| 11299855 | Čiurkiškiai | Ciurkiskiai,Čiurkiškiai | LT | Vilnius | Sirvintos | 55.10106 | 24.8062 | 0 | Europe/Vilnius | populated place | |
| 11302635 | Gudeliškiai | Gudeliskiai,Gudeliškiai | LT | Siauliai | Kelmė | 55.7244 | 22.6841 | 0 | Europe/Vilnius | populated place | |
| 11310429 | Prauda | Prauda | LT | Alytus | Varėna | 54.09388 | 24.73637 | 0 | Europe/Vilnius | populated place | |
| 594874 | Savėliškis | Savelis,Saveliskis,Savėliškis | LT | Siauliai | Pakruojis | 55.94902 | 23.7884 | 0 | Europe/Vilnius | populated place | |
| 9881699 | Senoji Radiškė | LT | Marijampolė County | Kalvarija Municipality | 54.29702 | 23.25201 | 0 | Europe/Vilnius | populated place | ||
| 11296466 | Kairionys | Kairionys | LT | Utena | Moletai | 55.25417 | 25.38007 | 0 | Europe/Vilnius | populated place | |
| 11296698 | Laukagalis | Laukagalis | LT | Utena | Moletai | 55.3502 | 25.55254 | 0 | Europe/Vilnius | populated place | |
| 11295345 | Kruniškės | Kruniskes,Kruniškės | LT | Vilnius | Šalčininkai | 54.29147 | 25.60227 | 0 | Europe/Vilnius | populated place | |
| 597041 | Mėžionys | Meskonys,Mezhany,Mezhenis,Mezionys,Meškonys,Mežionys,Mėžionys,Меженис | LT | Vilnius | Svencionys | 55.1018 | 26.05643 | 0 | Europe/Vilnius | populated place | |
| 11306899 | Sala | Sala | LT | Marijampolė County | Marijampolė Municipality | 54.56484 | 23.6672 | 0 | Europe/Vilnius | populated place | |
| 11292470 | Perlojus | Perlojus | LT | Vilnius | Svencionys | 55.26534 | 25.97954 | 0 | Europe/Vilnius | populated place | |
| 598601 | Kačergiai | Kacergiai,Kachergine,Kachergyay,Kačergiai,Kochergi | LT | Kaunas | Kauno rajonas | 55.1581 | 23.88428 | 0 | Europe/Vilnius | populated place | |
| 11304949 | Samsoniškės | Samsoniskes,Samsoniškės | LT | Marijampolė County | Marijampolė Municipality | 54.58407 | 23.27025 | 0 | Europe/Vilnius | populated place | |
| 11304364 | Pakuršėniai | Pakurseniai,Pakuršėniai | LT | Siauliai | Šiaulių rajonas | 56.01581 | 22.96069 | 0 | Europe/Vilnius | populated place | |
| 11291364 | Ulytėlė | Ulytele,Ulytėlė | LT | Utena | Zarasai | 55.92921 | 26.04199 | 0 | Europe/Vilnius | populated place | |
| 11293124 | Kremesiškės | Kremesiskes,Kremesiškės | LT | Panevėžys | Rokiškis | 55.78782 | 25.59803 | 0 | Europe/Vilnius | populated place | |
| 11308617 | Pagilšys | Pagilsys,Pagilšys | LT | Alytus | Varėna | 54.20864 | 24.19992 | 0 | Europe/Vilnius | populated place | |
| 11299804 | Verškainiai | Verskainiai,Verškainiai | LT | Vilnius | Ukmergė | 55.16468 | 24.83951 | 0 | Europe/Vilnius | populated place | |
| 597802 | Kupriai | Kupriai,Kupriu,Kuprių,Kupry | LT | 54.98333 | 22.66667 | 0 | Europe/Vilnius | populated place | |||
| 864441 | Radikiai | Radikiai,Radikyay | LT | Siauliai | Joniškis | 56.20765 | 23.58188 | 0 | Europe/Vilnius | populated place | |
| 11309120 | Jakava | Jakava | LT | Kaunas | Kaišiadorys | 54.78332 | 24.18372 | 0 | Europe/Vilnius | populated place | |
| 594812 | Senkai | Senka,Senkai,Senkay | LT | Klaipėda County | Kretinga | 55.95488 | 21.21813 | 0 | Europe/Vilnius | populated place | |
| 11292510 | Antaniškė | Antaniske,Antaniškė | LT | Vilnius | Svencionys | 55.23928 | 26.00283 | 0 | Europe/Vilnius | populated place | |
| 11298535 | Pamūriškis | Pamuriskis,Pamūriškis | LT | Panevėžys | Biržai | 56.20292 | 24.82114 | 0 | Europe/Vilnius | populated place | |
| 595989 | Patamošupiai | Patamosupiai,Patamosupiu,Patamošupiai,Patamošupių,Potomashupe | LT | Marijampolė County | Sakiai | 54.82964 | 23.28456 | 0 | Europe/Vilnius | populated place | |
| 600650 | Bardinai | Bardenen,Bardinai | LT | Tauragė County | Pagėgiai | 55.09654 | 22.02122 | 0 | Europe/Vilnius | populated place | |
| 11309792 | Vinkšnėnai | Vinksnenai,Vinkšnėnai | LT | Panevėžys | Panevėžys District Municipality | 55.64065 | 24.20187 | 0 | Europe/Vilnius | populated place | |
| 599075 | Gudgaliai | LT | Panevėžys | Pasvalys | 56.13333 | 24.28333 | 0 | Europe/Vilnius | populated place | ||
| 11308725 | Karužai | Karuzai,Karužai | LT | Alytus | Varėna | 54.24042 | 24.33386 | 0 | Europe/Vilnius | populated place | |
| 11292091 | Želmeniškė | Zelmeniske,Želmeniškė | LT | Utena | Ignalina | 55.4655 | 26.05286 | 0 | Europe/Vilnius | populated place | |
| 11305276 | Kazlai I | Kazlai I | LT | Marijampolė County | Kazlų Rūda Municipality | 54.75301 | 23.44919 | 0 | Europe/Vilnius | populated place | |
| 11296913 | Kijutiškės | Kijutiskes,Kijutiškės | LT | Alytus | Varėna | 54.17672 | 24.79741 | 0 | Europe/Vilnius | populated place | |
| 11304729 | Vidzgailai | Vidzgailai | LT | Alytus | Lazdijai | 54.3302 | 23.40546 | 0 | Europe/Vilnius | populated place | |
| 11295261 | Juozapinė | Juozapine,Juozapinė | LT | Vilnius | Vilnius District Municipality | 54.5311 | 25.62249 | 0 | Europe/Vilnius | populated place | |
| 11308597 | Maksimonys | Maksimonys | LT | Alytus | Varėna | 54.16205 | 24.15152 | 0 | Europe/Vilnius | populated place | |
| 594577 | Skaistgirys | Skaisgiris,Skaisgirys,Skaistgirys,Skaizgiris,Skaizgiruko,Skaystgiris | LT | Siauliai | Joniškis | 56.30858 | 23.39074 | 0 | Europe/Vilnius | populated place | |
| 11311730 | Sedūnai | Sedunai,Sedūnai | LT | Vilnius | Ukmergė | 55.17467 | 24.74127 | 0 | Europe/Vilnius | populated place | |
| 11303226 | Miestlaukis | Miestlaukis | LT | Marijampolė County | Vilkaviškis District Municipality | 54.76073 | 22.83839 | 0 | Europe/Vilnius | populated place | |
| 594375 | Sodeliai | Sodeliai | LT | Panevėžys | Panevėžys District Municipality | 55.87613 | 24.64592 | 0 | Europe/Vilnius | populated place | |
| 11291525 | Sniegiškės | Sniegiskes,Sniegiškės | LT | Utena | Zarasai | 55.73745 | 26.16419 | 0 | Europe/Vilnius | populated place | |
| 11307150 | Mogiškės | Mogiskes,Mogiškės | LT | Kaunas | Prienai | 54.71964 | 23.91558 | 0 | Europe/Vilnius | populated place | |
| 11289191 | Stragnai I | Stragnai I | LT | Klaipėda County | Klaipėdos rajonas | 55.56148 | 21.33561 | 0 | Europe/Vilnius | populated place | |
| 600542 | Belvederis | Belvederis,Belvėderis | LT | Tauragė County | Jurbarkas | 55.08218 | 23.39127 | 0 | Europe/Vilnius | populated place | |
| 11309636 | Galkantai | Galkantai | LT | Kaunas | Kėdainiai | 55.34797 | 24.0135 | 0 | Europe/Vilnius | populated place | |
| 11304129 | Kunigiškė | Kunigiske,Kunigiškė | LT | Siauliai | Kelmė | 55.77526 | 23.03371 | 0 | Europe/Vilnius | populated place | |
| 595928 | Pavidaujys | Pavidaujys,Pavidaujys I,Pavidaujys Pirmasis,Pavidauya,Povidovo | LT | Tauragė County | Jurbarkas | 55.21337 | 23.04599 | 0 | Europe/Vilnius | populated place | |
| 11310096 | Lieknelis | Lieknelis | LT | Panevėžys | Panevėžys District Municipality | 55.91797 | 24.3855 | 0 | Europe/Vilnius | populated place | |
| 11289871 | Raukos | Raukos | LT | Klaipėda County | Klaipėdos rajonas | 55.67995 | 21.76278 | 0 | Europe/Vilnius | populated place | |
| 11295104 | Girdžiūnai | Girdziunai,Girdžiūnai | LT | Vilnius | Vilnius District Municipality | 54.83055 | 25.74114 | 0 | Europe/Vilnius | populated place | |
| 600940 | Arvydiškė | Arvydiske,Arvydiškė,Orvidyshki | LT | Siauliai | Šiaulių rajonas | 55.86667 | 23.01667 | 0 | Europe/Vilnius | populated place | |
| 11290824 | Buciskė | Buciske,Buciskė | LT | Tauragė County | Šilalė | 55.63643 | 22.38313 | 0 | Europe/Vilnius | populated place | |
| 593269 | Verstaminai | Verstaminai,Verstaminaj,Verstaminay,Verstaminu,Verstaminų,Verstominy,Верстаминай | LT | Alytus | Lazdijai | 54.29501 | 23.54957 | 0 | Europe/Vilnius | populated place | |
| 599311 | Gintalai | Giktalay,Gintalai,Gintalay | LT | Telsiai | Telšiai | 55.75121 | 22.34707 | 0 | Europe/Vilnius | populated place | |
| 11290832 | Kvesčiai | Kvesciai,Kvesčiai | LT | Tauragė County | Šilalė | 55.57148 | 22.36219 | 0 | Europe/Vilnius | populated place | |
| 11297344 | Ažubaliai | Azubaliai,Ažubaliai | LT | Utena | Moletai | 55.2384 | 25.41096 | 0 | Europe/Vilnius | populated place | |
| 596937 | Mimaliai | Mimaliai | LT | Kaunas | Jonava | 55.20336 | 24.23282 | 0 | Europe/Vilnius | populated place | |
| 11293678 | Avietynė | Avietyne,Avietynė | LT | Utena | Utena | 55.53078 | 25.64669 | 0 | Europe/Vilnius | populated place | |
| 594361 | Sokonys | Sokonys,Sokovichi | LT | Kaunas | Prienai | 54.59231 | 24.12554 | 0 | Europe/Vilnius | populated place | |
| 11304844 | Būda | Buda,Būda | LT | Alytus | Lazdijai | 54.32123 | 23.50652 | 0 | Europe/Vilnius | populated place | |
| 11292877 | Lugiai | Lugiai | LT | Vilnius | Svencionys | 54.99622 | 26.1684 | 0 | Europe/Vilnius | populated place | |
| 11296945 | Nevainionys | Nevainionys | LT | Vilnius | Šalčininkai | 54.31524 | 25.00683 | 0 | Europe/Vilnius | populated place | |
| 11300240 | Pazaltarūnai | Pazaltarunai,Pazaltarūnai | LT | Vilnius | Sirvintos | 54.89974 | 24.85849 | 0 | Europe/Vilnius | populated place | |
| 11298373 | Krašiai | Krasiai,Krašiai | LT | Vilnius | Šalčininkai | 54.44797 | 25.52513 | 0 | Europe/Vilnius | populated place | |
| 596019 | Paskutiškiai | Paskutishkyay,Paskutiskes,Paskutiskiai,Paskutiskiu,Paskutiškiai,Paskutiškių,Paskutiškės,Poskutishki | LT | Kaunas | Jonava | 54.99775 | 24.22905 | 0 | Europe/Vilnius | populated place | |
| 596934 | Minčaičiai | Manchaychay,Mincaiciai,Mincaiciu,Minchaychyay,Minčaičiai,Minčaičių | LT | Siauliai | Joniškis | 56.32201 | 23.17321 | 0 | Europe/Vilnius | populated place | |
| 11299762 | Mėgučiai | Meguciai,Mėgučiai | LT | Vilnius | Ukmergė | 55.21372 | 24.93942 | 0 | Europe/Vilnius | populated place | |
| 598776 | Jovališkė | Ivolishki,Ivolishkyay,Jovaliske,Jovaliskiai,Jovališkiai,Jovališkė | LT | Tauragė County | Jurbarkas | 55.20126 | 23.07958 | 0 | Europe/Vilnius | populated place | |
| 11299644 | Janonys | Janonys | LT | Utena | Anykščiai | 55.39892 | 25.0198 | 0 | Europe/Vilnius | populated place | |
| 11305037 | Triobiškiai | Triobiskiai,Triobiškiai | LT | Marijampolė County | Marijampolė Municipality | 54.42187 | 23.3785 | 0 | Europe/Vilnius | populated place | |
| 11300968 | Ratninkai | Ratninkai | LT | Panevėžys | Biržai | 56.24562 | 24.636 | 0 | Europe/Vilnius | populated place | |
| 11307387 | Dievogala | Dievogala | LT | Kaunas | Kauno rajonas | 54.92823 | 23.68303 | 0 | Europe/Vilnius | populated place | |
| 11298900 | Pašepetis | Pasepetis,Pašepetis | LT | Panevėžys | Kupiškis | 55.80964 | 25.01357 | 0 | Europe/Vilnius | populated place | |
| 11308437 | Timakavas | Timakavas | LT | Alytus | Druskininkai | 54.00572 | 24.18411 | 0 | Europe/Vilnius | populated place | |
| 11302467 | Brukaliai | Brukaliai | LT | Siauliai | Kelmė | 55.60813 | 22.63605 | 0 | Europe/Vilnius | populated place | |
| 11307049 | Blindžiakupstis | Blindziakupstis,Blindžiakupstis | LT | Kaunas | Prienai | 54.71627 | 23.72113 | 0 | Europe/Vilnius | populated place | |
| 864622 | Totorkalnis | Totorkalnis | LT | Panevėžys | Biržai | 56.43 | 24.89944 | 0 | Europe/Vilnius | populated place | |
| 864409 | Jonaičiai | Jonaiciai,Jonaičiai,Yonaychay | LT | Siauliai | Joniškis | 56.1183 | 23.64975 | 0 | Europe/Vilnius | populated place | |
| 11312107 | Senkeliškis | Senkeliskis,Senkeliškis | LT | Panevėžys | Panevėžys District Municipality | 55.8849 | 24.40735 | 0 | Europe/Vilnius | populated place | |
| 11291505 | Liepalaukė | Liepalauke,Liepalaukė | LT | Utena | Zarasai | 55.71783 | 26.19844 | 0 | Europe/Vilnius | populated place | |
| 11304112 | Tilvikai | Tilvikai | LT | Siauliai | Kelmė | 55.84475 | 22.83649 | 0 | Europe/Vilnius | populated place | |
| 11311035 | Didžiarauliškės | Didziarauliskes,Didžiarauliškės | LT | Vilnius | Trakai | 54.63739 | 24.51466 | 0 | Europe/Vilnius | populated place | |
| 11302042 | Pukniai | Pukniai | LT | Marijampolė County | Sakiai | 55.00207 | 22.66212 | 0 | Europe/Vilnius | populated place | |
| 11296745 | Padumblė | Padumble,Padumblė | LT | Utena | Moletai | 55.29947 | 25.45205 | 0 | Europe/Vilnius | populated place | |
| 598140 | Kirdeikiai | Kirdeikiai,Kirdeykyay | LT | Kaunas | Kėdainiai | 55.29456 | 24.32846 | 0 | Europe/Vilnius | populated place |
Lithuania: A Land of Layers, Mapped with Precision
A Baltic Mosaic Through a Geographer’s Eyes
Lithuania is not a country you can understand with a single glance at the map. No, this Baltic nation breathes in gradients—of culture, elevation, settlement density, and history. From the Curonian Spit on the western fringe to the lake-dotted terrain of Aukštaitija in the east, every kilometer reveals a new spatial rhythm. And yet, despite its geographic elegance, Lithuania is frequently misrepresented in global datasets. Too often, its cities are reduced to lists stripped of hierarchy, stripped of spatial context. I decided to change that.
A Dataset Born from Frustration and Fascination
What started as a personal cartographic endeavor has become a professional mission: to create the most complete, cleanly structured, and practically usable database of Lithuanian cities and towns. This means going beyond capital letters and coordinates. It means understanding how municipalities relate to counties, how elderships define local identity, and how each place sits in geographic space.
Because anyone who works with real-world data—from urban planning to logistics, academia to governance—knows that messy or vague input leads to flawed conclusions. Lithuania deserves better. Now, it has it.
Administrative Structure Meets Geospatial Logic
Our database is anchored on Lithuania’s actual territorial logic. Each city or town is listed with its corresponding region and its departmental (or “savivaldybė”) classification. That matters. Regional identity is strong in Lithuania—whether you're analyzing Klaipėda’s maritime footprint or Šiauliai’s industrial belt, the way data is grouped shapes the insights that emerge.
Layered atop this, of course, are the latitude and longitude coordinates of every city. These aren’t estimates—they are accurate down to the arcsecond, which makes this dataset indispensable for anyone relying on precision: GIS developers, government agencies, NGOs, and location intelligence firms.
The Power of Excel: From Browsing to Building
Now, here’s the part I’m most excited about: the Excel format (.xlsx). I’ve always believed that Excel is more than a spreadsheet—it’s a canvas for the curious. With this dataset in Excel, users can immediately filter by county, sort by longitude, generate pivot tables by administrative classification, or visualize cities by latitude brackets. It’s not just data; it’s decision-ready.
For those with other technical needs, the dataset also comes in CSV, SQL, JSON, and XML. But make no mistake—Excel is the gateway for professionals, researchers, and data enthusiasts alike.
What the Dataset Includes
* All cities and towns across Lithuania’s territory
* Precise regional and departmental affiliations
* Clean latitude and longitude for each city
* Delivered in Excel (.xlsx), CSV, SQL, JSON, and XML formats
Why It Matters: Real Data for a Real Country
Lithuania is changing—fast. Urbanization patterns are shifting, transport infrastructure is being reimagined, and cross-border trade is increasing. To understand where Lithuania is going, we must understand where its people live, how its cities are structured, and how geography informs movement, opportunity, and development.
But that requires data that speaks the language of precision, clarity, and accessibility. That’s exactly what this dataset delivers.
From Vilnius to Visaginas: Let’s Map It Right
You can’t truly understand a country unless you can navigate it—not just physically, but analytically. Lithuania is not just Vilnius and Kaunas. It’s Jurbarkas, Mažeikiai, Kupiškis. It’s the small towns at the edges, the intersections of rural and urban, the riverbanks and rail corridors.
This dataset is a tribute to that complexity. Whether you’re planning infrastructure, building apps, conducting research, or just exploring, the structure and format of this data—especially the Excel version—will empower you to see Lithuania not as a blur on the map, but as a living geographic system.
Precision matters. And with Lithuania, it’s finally within reach.
