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This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 100x100 m size.

It derives from the GHS-POP - R2023A. Residential population estimates between 1975 and 2020 in 5-year intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disaggregated from census or administrative units to grid cells, informed by the distribution, volume, and classification of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch.

The dataset is part the Global Human Settlement Layer, that provide global, high-resolution, multi-temporal gridded data on built-up environment (built-up surface, built-up volume, residential vs. non-residential function), resident population, and settlement classification by the UN-recommended methodology “degree of urbanisation”. The complete information about the GHSL main products can be found in the GHSL Data Package 2023 report.

This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.

This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 100x100 m size.

The GHS-BUILT-S spatial raster dataset depicts the distribution of the built-up (BU) surfaces estimates between 1975 and 2030 in 5 year intervals and two functional use components a) the total BU surface and b) the non-residential (NRES) BU surface. The data is made by spatial-temporal interpolation of five observed collections of multiple-sensor, multiple-platform satellite imageries: Landsat (MSS, TM, ETM sensor) data supports the 1975, 1990, 2000, and 2014 epochs, while a Sentinel-2 (S2) image composite (GHS-composite-S2 R2020A) supports the 2018 epoch.

This data represents the total BU surface estimates (square meters) for year 2005 over cells of 100x100 m size.

This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 100x100 m size.

This data represents the total BU surface estimates (square meters) for year 1975 over cells of 100x100 m size.

This data represents the total BU surface estimates (square meters) for year 1980 over cells of 100x100 m size.

This data represents the total BU surface estimates (square meters) for year 1985 over cells of 100x100 m size.

This data represents the total BU surface estimates (square meters) for year 1990 over cells of 100x100 m size.

This data represents the total BU surface estimates (square meters) for year 1995 over cells of 100x100 m size.

This data represents the total BU surface estimates (square meters) for year 2000 over cells of 100x100 m size.

This data represents the total BU surface (square meters) for year 2005 over cells of 1x1 km size.

This data represents the total BU surface estimates (square meters) for year 2010 over cells of 100x100 m size.

This data represents the total BU surface estimates (square meters) for year 2015 over cells of 100x100 m size.

This data represents the total BU surface estimates (square meters) for year 2020 over cells of 100x100 m size.

This data represents the total BU surface estimates (square meters) for year 2025 over cells of 100x100 m size.

This data represents the total BU surface estimates (square meters) for year 2030 over cells of 100x100 m size.

This data represents the Non Residential BU surface estimates (square meters) for year 2030 over cells of 100 x100 m size.

The GHS-BUILT-V R2023A dataset depicts the distribution of built-up volumes, expressed as number of cubic meters. This data reports about the total built-up volume. Data are spatial-temporal interpolated from 1975 to 2030 in 5 year intervals. Data were obtained by multiplying the GHS built-up surface versus the GHS building height (ANBH) part of the same GHS collection. The layer available within this portal depicts the 2030 prediction.

This raster dataset depicts the distribution of the building heights, as Average of the Net Building Height (ANBH), generalized at the resolution of 100m, and referred to the year 2018. The input data used to predict the building heights are the ALOS Global Digital Surface Model "ALOS World 3D - 30m (AW3D30)25, the NASA Shuttle Radar Topographic Mission data - 30m (SRTM30)26 , and the Sentinel-2 global pixel based image composite from L1C data for the period 2017-201827 that is the support of the year 2018 in this release.

This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.

It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts the distribution of built-up volumes, expressed as number of cubic metres. The data report about the total built-up volume and the built-up volume allocated to dominant non-residential (NRES) uses.

The dataset is part the Global Human Settlement Layer , Global, high-resolution, multi-temporal gridded data on built-up environment (built-up surface, built-up volume, residential vs. non-residential function), resident population, and settlement classification by the UN-recommended methodology “degree of urbanisation”. The complete information about the GHSL main products can be found in the GHSL Data Package 2023 report

The GHS-BUILT-V R2023A dataset depicts the distribution of built-up volumes, expressed as number of cubic meters. The data reports about the built-up volume allocated to dominant non-residential (NRES) uses. Data are spatial-temporal interpolated from 1975 to 2030 in 5 year intervals. Data were obtained by multiplying the GHS built-up surface versus the GHS building height (ANBH) part of the same GHS collection. The layer available within this portal depicts the 2030 prediction.

This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.

This data represents the total BU surface (square meters) for year 1975 over cells of 1x1 km size.

This data represents the total BU surface (square meters) for year 1980 over cells of 1x1 km size.

This data represents the total BU surface (square meters) for year 1985 over cells of 1x1 km size.

This data represents the total BU surface (square meters) for year 1990 over cells of 1x1 km size.

This data represents the total BU surface (square meters) for year 1995 over cells of 1x1 km size.

This data represents the total BU surface (square meters) for year 2000 over cells of 1x1 km size.

This data represents the total BU surface (square meters) for year 2010 over cells of 1x1 km size.

This data represents the total BU surface (square meters) for year 2015 over cells of 1x1 km size.

This data represents the total BU surface (square meters) for year 2020 over cells of 1x1 km size.

This data represents the total BU surface estimates (square meters) for year 2025 over cells of 1x1 km size.

This data represents the total BU surface estimates (square meters) for year 2030 over cells of 1x1 km size.

This data represents the Non residential BU surface estimates (square meters) for year 2030 over cells of 1x1 km size.

The human imprint on the planet has a major impact on the functioning of the Earth system. Because the impact on the environment is closely intertwined with population dynamics, it is important to monitor and include these in the evaluation of land degradation. This layer displays the areas of concern for population change related issues derived from the convergence of global evidence of human-environment interactions that can lead to land degradation. It reflects the dynamics of increasing number of people in a certain area.

This layer is part of the World Altas of Desertification

According to UN estimates, the global population will increase by 2.4 billion between 2015 and 2050. Of this, an overwhelming 50 % will be concentrated in Africa (1.3 billion). There could be up to four times as many people in sub-Saharan Africa by the end of the century. The human imprint on the planet has a major impact on the functioning of the Earth system. Because the impact on the environment is closely intertwined with population dynamics, it is important to monitor and include these in the evaluation of land degradation. This layer displays the areas of concern for population density related issues derived from the convergence of global evidence of human-environment interactions that can lead to land degradation.

This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size.

These 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 derive from the GHS-SMOD - R2023A.

The layers have been generated by integration of built-up surface extracted from Landsat and Sentinel-2 image data processing (GHS-BUILT-S R2023), and population data derived from the CIESIN GPW v4.11 (GHS-POP R2023).