Lithuania: 10 provinces, states and territories
Every administrative level, from the 10 first-level units down to ADM3, on a terrain map with people, density and sources.
Lithuania by province, state and territory
10 first-level units and 60 second-level units inside them, raised by people per km² over the population grid and terrain. Select a unit to drill in or open its page.
Every administrative level of Lithuania
Each level comes from the boundary source admitted for that country and level, with its own licence.
- ADM1
- 10 first-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · each with its own page
- ADM2
- 60 second-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · each with its own page
- ADM3
- 543 third-level units · geoBoundaries gbOpen · Public Domain · in the maps, tables and downloads of the pages above
All 10 first-level units
Two population estimates from open grids, summed inside each boundary. The CSV carries the first two levels; each unit page carries the levels below it.
Boundary licences: Open Data Commons Open Database License 1.0.
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Alytus County | LT-AL | 122,190 | 137,957 | 5,390 | 23 | 4.6% | 0 |
| Kaunas County | LT-KU | 511,124 | 570,435 | 8,042 | 64 | 19.2% | 59 |
| Klaipeda County | LT-KL | 292,174 | 324,561 | 4,797 | 61 | 11% | 99,720 |
| Marijampole County | LT-MR | 134,892 | 140,233 | 4,454 | 30 | 5.1% | 1,822 |
| Panevezys County | LT-PN | 201,695 | 208,817 | 7,839 | 26 | 7.6% | 0 |
| Siauliai County | LT-SA | 239,924 | 260,711 | 8,502 | 28 | 9% | 0 |
| Taurage County | LT-TA | 86,986 | 89,353 | 4,388 | 20 | 3.3% | 4,069 |
| Telsiai County | LT-TE | 130,685 | 135,153 | 4,330 | 30 | 4.9% | 0 |
| Utena County | LT-UT | 117,490 | 125,711 | 7,158 | 16 | 4.4% | 0 |
| Vilnius County | LT-VL | 828,292 | 852,937 | 9,700 | 85 | 31.1% | 0 |
Subnational risk products
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen LTU ADM1, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen LTU ADM2, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- ADM3 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen LTU ADM3, source: digitized from https//commons.wikimedia.org/wiki/File, licence: Public Domain · source · represents 2017
- Basemap
- OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
- Terrain
- Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
- People
- GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
- Lande
- Natural Earth (public domain).
- Elevation
- GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
- Position
- Boundaries are shown for location only and take no position on any boundary, name or status.
Explore Lithuania
Open any unit, download every level, or run a scenario on open data.
Status
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
A country profile reads public evidence about a place. It is not a statement by or about the policy of any government, takes no position on the status of any territory, and does not imply a national programme or participation. Names follow UN M49.
Wat NXS-GRX nie is nie
NXS-GRX is navorsings- en risiko-analise-inligting. Dit is nie 'n krediet- of ESG-gradering nie en gebruik geen graderingskaal nie, nie 'n maatstaf vir finansiële instrumente nie, nie amptelike statistiek nie, nie 'n noodwaarskuwing of amptelike klassifikasie nie, en nie advies nie. Dit mag nie gebruik word om natuurlike persone te evalueer nie. Risikoklasse is bande op 'n gepubliseerde skaal, nooit ranglyste van lande of mense nie.
Pulse-seine en vooruitskouwaarskynlikhede is inligting vir hersiening deur bevoegde owerhede, nooit openbare waarskuwings nie; amptelike waarskuwings kom slegs van gemandateerde owerhede.
Instellings en bronne
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Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.