Administrative boundaries

Lithuania districts & municipalities

  • 60 boundary areas included
  • 11 data fields with sample values
  • Part of the World districts & municipalities collection for Lithuania
Preview of Lithuania districts & municipalities map
Enlarged preview of Lithuania districts & municipalities map

Lithuania districts & municipalities Data Sample

Below is a sample of some of the fields included in this GIS file. These columns can be visualized in QGIS, Power BI, Leaflet, and other mapping or analytics tools supporting GeoJSON.

Field Name Sample Data
shapeID 59024439B12012014009383, 59024439B19214472922004, 59024439B1937174061262
Name Tauragės rajono savivaldybė, Panevėžio rajono savivaldybė, Kazlų Rūdos savivaldybė
COUNTRY Lithuania, Lithuania, Lithuania
ADM1_NAME Taurage County, Panevezys County, Marijampole County
fid 28353, 28398, 28409
ADM1_ID 39236102B1026114868474, 39236102B83915359981162, 39236102B36357844716419
shapeName Tauragės rajono savivaldybė, Panevėžio rajono savivaldybė, Kazlų Rūdos savivaldybė
shapeType ADM2, ADM2, ADM2
COUNTRY_ID LTU, LTU, LTU
shapeGroup LTU, LTU, LTU
BOUNDARY_LEVEL Second-level administrative boundary, Second-level administrative boundary, Second-level administrative boundary

Dataset information

About the Lithuania districts & municipalities GeoJSON file

  • Map ID: world_admin2_boundaries_ltu
  • Collection: World districts & municipalities
  • Region: Lithuania
  • Boundary areas: 60
  • Attribute fields: 11
  • Preview generated: 9 August 2026

This administrative boundary dataset contains 60 boundary areas and 11 data fields from the World districts & municipalities collection for Lithuania.

£125.00
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Note on Compatibility

We strive to provide universally compatible GeoJSON files, but sometimes a mapping application may require a specific coordinate reference system (projection) or particular data fields. If your file doesn't load or display as expected, please get in touch. We can reproject the file, add additional data columns to the polygons, or even develop a custom mapping tool—whether simple or complex—to ensure your data visualizes correctly. We won't rest until everything works just the way you need!

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