GHSL World Urbanisation Prospects Projected Degree of Urbanisation (GHS-WUP-DEGURBA)

Description

These gridded datasets represent the “Degree of Urbanisation” (DEGURBA) settlement classification per 1-km grid cell from 1975 to 2100 in 5-year time steps, derived from the GHS-WUP-POP gridded population projections. The DEGURBA methodology classifies human settlements into three to seven classes along the rural-urban continuum and provides a globally consistent way to delineate cities, towns, sub- and periurban settlements, villages, and scattered rural settlements. Class codes: 10 (water), 11 (Very low density rural area), 12 (Low density rural area), 13 (Rural cluster), 21 (Suburban or periurban area), 22 (Semi-dense urban cluster), 23 (Dense urban cluster), 30 (Urban centre).

Update Frequency

NA

License

GHSL data are provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Documentation

https://human-settlement.emergency.copernicus.eu/ghs_wup_degurba_r2025a.php

Managed By

JRC

See all datasets managed by JRC.

Contact

JRC-GHSL-DATA@ec.europa.eu

How to Cite

GHSL World Urbanisation Prospects Projected Degree of Urbanisation (GHS-WUP-DEGURBA) was accessed on DATE from https://registry.opendata.aws/ghs-wup-degurba.

Usage Examples

Tutorials

• Get To Know A Dataset: GHS WUP DEGURBA by MAFFENINI Luca
  
  

Tools & Applications

• Raster data visualization by TOMMASI Pierpaolo, MAFFENINI Luca
  

Publications

• GHSL WUP Projections Data Package 2025 by SCHIAVINA Marcello, MELCHIORRI Michele, MARI RIVERO Ines, FLORIO Pietro, FREIRE Sergio, JACOBS-CRISIONI Chris, MAFFENINI Luca, POLITIS Panagiotis, UHL Johannes H., CARIOLI Alessandra, PESARESI Martino, DIJKSTRA Lewis, KEMPER Thomas
  
• Introducing the CRISP model to downscale future population projections by JACOBS-CRISIONI Chris, SCHIAVINA Marcello, KRASNODEBSKA Katarzyna, DIJKSTRA Lewis, CLAASSENS Jip, HILFERINK Maarten, VAN DER WIELEN Thijmen, KOOMEN Eric