GADM 3.6 uses the ISO3 country code (e.g., USA, FRA, IND). You can find the code list inside the downloaded zip or online.
page for the full global dataset. Note that these are very large files (e.g., 405MB for a single geodatabase) and may take significant time to download. Step 2: Choose Your File Format
import geopandas as gpd # Load the GADM 3.6 shapefile # Replace 'path_to_gadm36' with your file path gdf = gpd.read_file('gadm36_USA_1.shp') # View the first few rows print(gdf.head()) # Plot the administrative boundaries gdf.plot() Use code with caution. 3. Working in R GADM data is highly compatible with R's spatial packages. download gadm data version 36 work
import geopandas as gpd gadm = gpd.read_file("path/to/gadm36_country_level2.geojson") gadm.plot(column='NAME_1') # color by admin name
GADM version 3.6 (released May 6, 2018) is a foundational dataset for spatial analysis, delimiting 386,735 administrative areas worldwide. While newer versions like 4.1 exist, 3.6 remains widely used due to its stable system, which was specifically fixed in this release after errors in version 3.4. How to Download Version 3.6 GADM 3
The GADM data are freely available for academic use and other non-commercial use. However, there are important restrictions to note:
. It is widely used in academic and non-commercial sectors because of its high spatial resolution and standardized naming conventions. How to Download GADM 3.6 Data Note that these are very large files (e
Should return "3.6" .
The gadm PyPI package can be used to handle administrative boundary data programmatically. 2. Technical Specifications
Click the link for your format (e.g., Shapefile or GeoPackage) to start the download. 3. Supported File Formats