To help tailor this guide further, let me know you are mapping, which GIS software or programming language you plan to use, and what kind of analysis you intend to run with the data. Share public link
: You can select a specific country and download its data directly from the GADM Country Download page Entire World
Below, I’ll solve each of these problems step by step. download gadm data version 36 work
library(sf) # Load a country-specific RDS file gadm_data <- readRDS("gadm36_USA_1_sf.rds") # Plot the data to verify plot(st_geometry(gadm_data)) Use code with caution. Using Python
import geopandas as gpd gadm = gpd.read_file("path/to/gadm36_country_level2.geojson") gadm.plot(column='NAME_1') # color by admin name To help tailor this guide further, let me
Use the geodata package (the successor to raster::getData ) to fetch administrative boundaries directly into your environment.
I decided on . It’s lighter, handles character encoding (like special characters in foreign names) better, and doesn’t clutter my folder with .dbf , .shx , and .prj files. I decided on
: Not all countries have all levels of administrative boundaries. The availability depends on the source data.
The recommended modern standard. Excellent for QGIS and Python users.
ogr2ogr -f OGR_GMT ' ' gadm36_USA.gpkg gadm36_USA_1
The recommended standard. It is a single file that works flawlessly in QGIS and ArcGIS Pro.