Download luxembourg Administrative Boundary GIS Data – National, Cantons and more



Attention GIS enthusiasts! MAPOG unveils specialized GIS data for Luxembourg, providing intricate geographical insights along with comprehensive administrative boundaries. Elevate your mapping projects using this cutting-edge resource, with format options like ESRI Shapefile, KML, GeoJSON, and CSV for seamless integration. Explore now to enhance your mapping endeavors with the latest Luxembourg GIS data, including administrative boundaries.

Calling all GIS enthusiasts! Exciting updates await at MAPOG. Introducing our specialized GIS data for Luxembourg, offering intricate geographical insights and detailed administrative boundaries. Elevate your local and national mapping projects with this cutting-edge resource. Choose from formats like ESRI Shapefile, KML, GeoJSON, and CSV for seamless integration. Don’t miss the chance to enhance your mapping pursuits with the latest Luxembourg GIS data. Explore now!

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster filesadd WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysiscreate gridstransform points into polygons, calculate isochrones, and utilize the geocoder for precise location information.

We offer an extensive array of data formats, including KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS, ensuring compatibility and accessibility for various applications and analyses.

Note:

  • All data available are in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • You need to login for downloading the shapefile.

Download Shapefile Data of Luxembourg

Nestled in Western Europe, Luxembourg is a compact landlocked nation. It shares borders with Belgium to the north and west, Germany to the east, and France to the south. The country’s capital and largest city, Luxembourg, holds significance as one of the European Union’s key seats, hosting vital institutions like the Court of Justice of the European Union. The Grand Duchy of Luxembourg is deeply entwined with its French and German neighbors, evident in its culture, people, and languages. While Luxembourgish is the national language, French takes the lead in legislation, while all three – Luxembourgish, French, and German – play roles in administrative affairs.

Luxembourg National Boundary

Download Luxembourg National Boundary Shapefile

After successfully logging in with a legitimate email address, select the country you want to work with. Next, choose the specific layer you need and click on the download option. Once that’s done, pick the desired format to acquire the essential GIS data. Before proceeding with the data download, make sure to review the data table for any relevant information.

Download Luxembourg Cantons Shapefile Data

The 12 cantons within the Grand Duchy of Luxembourg serve as local government regions at the primary tier of the European Union’s Nomenclature of Territorial Units for Statistics (LAU-1) for Eurostat.

Luxembourg Cantons Boundaries

Download Luxembourg Cantons Shapefile

This shapefile covers following cantons of luxembourg listed below:

  1. Luxembourg
  2. Diekirch
  3. Grevenmacher
  4. Clervaux
  5. Redange
  6. Vianden
  7. Wiltz
  8. Echternach
  9. Remich
  10. Mersch
  11. Capellen
  12. Esch-sur-Alzette

Download Luxembourg Communes Shapefile Data

Luxembourg is divided into 102 communes. These communes represent the smallest administrative units within the country.

Luxembourg Communes Boundaries

Download Luxembourg Communes Shapefile

Other Administrative Boundary Data:

Other GIS Data:

Above all links are provided for GIS data of luxembourg if you are looking for any specific data please write us on support@mapog.com

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Disclaimer : If you find any shapefile data of country provided is incorrect do contact us or comment below, so that we will correct the same in our system as well we will try to correct the same in openstreetmap.

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