This product contains the summary statistics of GHS-BUILT-S multi-temporal (1975-2020) at Local Administrative Unit Level (LAU) from the 2020 layer provided by GISCO. For each LAU the table contains the sum of built-up surface (GHS-BUILT-S) between 1975 and 2...

The spatial raster dataset depicts the distribution of population, expressed as the number of people per cell. Residential population estimates between 1975 and 2020 in 5 years intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disagg...

The layers present the application of the Degree of Urbanisation stage I methodology recommended by UN Statistical Commission to the global population grid generated by the JRC in the epochs 1975-2030 (5 years timestep). They have been generated by integration...

This dataset contains the Global Degree of Urbanisation Classification of administrative units delineated by the Global ADMinistrative layer version 4.1 (GADM41) according to the application of stage II of the Degree of Urbanisation. The classification is base...

Intermediate data used to support the R2023A production ond QC release. This product include the Landsat image quantity for the multitemporal GHS-BUILT R2023 production; and the UN World Urbanization Prospect 2018 city boundaries estimates for the GHS-POP R20...

OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa.eu/datasets.php - This dataset contains the Global Degree of Urbanisation Class...

OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa.eu/datasets.php - The layers present the application of the Degree of Urbanisat...

OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa.eu/datasets.php - The spatial raster dataset depicts the distribution of popula...

OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa.eu/datasets.php - This product contains the summary statistics of GHS-BUILT-S m...

OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa.eu/datasets.php - Intermediate data used to support the R2022A production and ...

The spatial dataset delineates the boundaries of Functional Urban Areas (FUA) of Urban Centres in 2015. The automatic classification procedure developed in collaboration with the OECD estimates for each 1 sq km populated cells outside Urban Centres (obtained f...

The Global Human Settlement Layer (GHSL) produces new global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet. The Joint Research Centre (JRC) and the Directorate General for Regional Development (DG REGI...

This dataset contains the Global Degree of Urbanisation Classification of adminstrative units delineated by the Global ADMinistrative layer version 3.6 (GADM36) according to the application stage 2 of the Degree of Urbanisation. The classification is based on ...

The spatial raster dataset depicts the distribution of population, expressed as the number of people per cell. Residential population estimates for target years 1975, 1990, 2000 and 2015 provided by CIESIN GPWv4.10 were disaggregated from census or administrat...

The layers present a refinement of the REGIO degree of urbanization model using as applied to the global population grid generated by the JRC in four epochs (1975, 1990, 2000, 2015). They have been generated by integration of built-up areas extracted from Land...

To aid the understanding of how urbanisation has influenced anthropogenic CO2 and air pollutant emissions across all world regions, we make use of the latest developments of the Emissions Database for Global Atmospheric Research. In this study, we systematical...