GHS-POP R2022A - GHS population grid multitemporal (1975-2030) - OBSOLETE RELEASE

Collection: GHSL : Global Human Settlement Layer 


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 - 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 disaggregated from census or administrative units to grid cells, informed by the distribution, density, and classification of built-up as mapped in the Global Human Settlement Layer (GHSL) global layer per corresponding epoch.

This dataset is an update of the product released in 2019. Major improvements are the following: use of improved built-up surface maps (GHS-BUILT-S R2022A); use of more recent and detailed population estimates derived from GPWv4.11 integrating both UN World Population Prospects 2019 country population data and World Urbanisation Prospects 2018 data on Cities; better representation of cities population time series; systematic improvement of census coastlines; systematic revision of census units declared as unpopulated; integration of non-residential built-up surface information (GHS-BUILT-S_NRES R2022A); spatial resolution of 100m Mollweide (and 3 arcseconds in WGS84); projections to 2030.


jrc-ghsl-data (at)


How to cite

Schiavina, Marcello; Freire, Sergio; MacManus, Kytt (2022): GHS-POP R2022A - GHS population grid multitemporal (1975-2030) - OBSOLETE RELEASE. European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/D6D86A90-4351-4508-99C1-CB074B022C4A PID:


GHS POP GHS-POP GHSL global map GPW Population grid Population projections

Data access

  • GHS population grid, derived from GPW4.11, for 1975-2030 (5yrs interval). Values are expressed as decimals (Float). The data is published at medium and low resolution (100m and 1km respectively) in World Mollweide (EPSG:54009). The grids in WGS84 (EPSG:4326) are produced from the 100m World Mollweide grids and have a spatial resolution of 3 arc-seconds and 30 arc-seconds. The compressed ZIP file contain TIF files and short documentation.

GHSL website
  • Project Web site


Publication 2022
GHSL Data Package 2022
Schiavina, M., Melchiorri, M., Pesaresi, M., Politis, P., Carneiro Freire, S.M., Maffenini, L., Florio, P., Ehrlich, D., Goch, K., Tommasi, P. and Kemper, T., GHSL Data Package 2022, Publications Office of the European Union, Luxembourg, 2022, ISBN 978-92-76-53071-8 (online),978-92-76-53070-1 (print), doi:10.2760/19817 (online),10.2760/526478 (print), JRC129516.
  • Publications Office of the European Union, Luxembourg, Luxembourg
Publication page 
  • Abstract

    The Global Human Settlement Layer (GHSL) produces new global spatial information, evidence-based analytics and knowledge describing the human presence on planet Earth. It operates in a fully open and free data and methods access policy. The knowledge generated with the GHSL is supporting the definition, the public discussion and the implementation of European policies and the monitoring of international frameworks such as the 2030 Development Agenda. The GHSL are the core data set of the Exposure Mapping Component under the Copernicus Emergency Management Service. This release is the first official contribution of GHSL to the Copernicus services. GHSL data continue to support the GEO Human Planet Initiative (HPI) that is committed to developing a new generation of measurements and information products providing new scientific evidence and a comprehensive understanding of the human presence on the planet and that can support global policy processes with agreed, actionable and goal-driven metrics. The Human Planet Initiative relies on a core set of partners committed in coordinating the production of the global settlement spatial baseline data. This document describes the public release of the GHSL Data Package 2022 (GHS P2022). The release provides improved built-up (including surface, volume and height) and population products as well as a new settlement model and classification of administrative and territorial units according to the Degree of Urbanisation.

Publication 2016
Development of new open and free multi-temporal global population grids at 250 m resolution
Carneiro Freire S; Macmanus K; Pesaresi M; Doxsey-Whitfield E; Mills J. Development of new open and free multi-temporal global population grids at 250 m resolution . Geospatial Data in a Changing World; Association of Geographic Information Laboratories in Europe (AGILE) (Organiser). AGILE; 2016. JRC100523
Publication page 
  • Abstract

    Global population grids are increasingly used and required for countless applications in analysis, modeling, and policy-making. However, better and comparable global information requires improved geospatial data on population distribution and densities, in particular concerning temporal and spatial resolution and capacity for change assessment. This paper presents the development of improved global multi-temporal population grids, by combining best-available population estimates for 1975, 1990, 2000 and 2014, with best-available assessment of the spatial extents of human settlements as inferred from Landsat satellite data for same periods. Using a dasymetric mapping approach, population is disaggregated from finest census or administrative units to built-up areas. These 250-m grids represent population changes in time, having also higher spatial resolution than those previously available. The novel population grids constitute currently the de facto state-of-the-art in terms of open global geospatial population data, potentially enabling advances in many of the fields where this information is relevant.

Geographic areas


Spatial coverage

Type Value
<gml:Polygon xmlns:gml="">  <gml:outerBoundaryIs>    <gml:LinearRing>      <gml:coordinates>-180,90 180,90 180,-90 -180,-90 -180,90</gml:coordinates>    </gml:LinearRing>  </gml:outerBoundaryIs></gml:Polygon>
<gml:Polygon xmlns:gml="">  <gml:exterior>    <gml:LinearRing>      <gml:posList>-180 90 180 90 180 -90 -180 -90 -180 90</gml:posList>    </gml:LinearRing>  </gml:exterior></gml:Polygon>
POLYGON ((-180 90, 180 90, 180 -90, -180 -90, -180 90))

Temporal coverage

From date To date
1975-01-01 2030-12-31

Additional information

Published by
European Commission, Joint Research Centre
Created date
Modified date
Issued date
Landing page 
Data theme(s)
Regions and cities, Population and society, Science and technology
Update frequency