SKU: 14544963933

Germany Landkreis / Kreis / kreisfreie Stadt GIS Boundaries (Shapefile & GeoPackage) with 2025 Population Data

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Description

Germany Landkreis / Kreis / kreisfreie Stadt GIS Boundaries (Shapefile & GeoPackage) with 2025 Population DataAbout the Germany Landkreis Kreis kreisfreie Stadt Boundary Dataset Download Germany Landkreis Kreis kreisfreie Stadt GIS map boundaries (Shapefile & GPKG). Includes 2025 population data. This detailed geographic dataset provides accurate administrative boundaries designed for spatial analysis, territory mapping, and geodemographic routing. Key Features & Sources Coverage: Germany (Landkreis Kreis kreisfreie Stadt) Data Formats Included: ESRI

About the Germany Landkreis / Kreis / kreisfreie Stadt Boundary Dataset

Download Germany Landkreis / Kreis / kreisfreie Stadt GIS map boundaries (Shapefile & GPKG). Includes 2025 population data. This detailed geographic dataset provides accurate administrative boundaries designed for spatial analysis, territory mapping, and geodemographic routing.

Key Features & Sources

  • Coverage: Germany (Landkreis / Kreis / kreisfreie Stadt)
  • Data Formats Included: ESRI Shapefile (.shp) and GeoPackage (.gpkg)
  • Geometry Source: High-precision polygon boundaries derived from OpenStreetMap (OSM).
  • Ready to Use: Compatible with QGIS, ArcGIS, MapInfo, and other major GIS platforms.
  • Demographic Integration: Includes 2025 population statistics sourced natively from the Federal Statistical Office (Destatis).

Related datasets and resources

Data Structure & Sample Records

Below is a preview of the dataset's attribute fields to give you an overview of the data structure. Please note that the full dataset contains complete geographic features (geometry) and might have additional columns depending on the locale.

id name name:en name:eu admin_level boundary alt_name parent_id population area_km2 pop_dens geometry
124987 Weimar None None 6 administrative None 124733 65404 84.392640 775 polygon data
125051 Bamberg None None 6 administrative None 4290537 78067 54.957703 1420 polygon data
125327 Landkreis Altötting None None 6 administrative None 4290537 112573 569.319091 198 polygon data
125309 Ansbach None None 6 administrative None 4290537 41832 99.800732 419 polygon data
125029 Landkreis Neustadt an der Aisch-Bad Windsheim None None 6 administrative None 4290537 102204 1267.309242 81 polygon data

Frequently Asked Questions

What file formats are included in my download?
Your download includes the administrative boundaries in both ESRI Shapefile (.shp) and GeoPackage (.gpkg) formats. If you need the data in alternative formats (such as GeoJSON, Excel, or PostgreSQL import files), please contact us at [email protected].
What coordinate reference system (projection) is used?
All boundary files are delivered in the standard WGS 84 (EPSG:4326) geographic coordinate system.
What software can I use to open these files?
The datasets are provided in standard geospatial formats and are fully compatible with all major GIS platforms, including QGIS, ArcGIS, MapInfo, as well as business intelligence tools like Tableau, Power BI, and spatial databases like PostGIS.
Where is the boundary geometry sourced from?
Our high-precision polygon boundaries are derived from reliable OpenStreetMap (OSM) data, ensuring they are accurate, up-to-date, and suitable for geospatial mapping and territorial analysis.
Does this dataset include demographic data?
Yes, this specific dataset integrates base demographics data (such as total population) natively sourced from official national statistical institutes. You can view the specific population vintage and source in the "Key Features" section above. For more granular demographic data (age, gender, households), please check out our detailed Geodemographics Datasets linked in the related resources.
Can I upgrade to the full country hierarchy later?
Absolutely! If you realize you need seamless drill-downs to other administrative levels, you can explore our All-in-One Administrative Boundaries package for Germany, which contains the complete hierarchy.

Need the data in another format?

We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at [email protected].

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SKU: 14544963933

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