JRC Data Catalogue
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GHS-UCDB R2024A - GHS Urban Centre Database 2025

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This dataset contains statistics on urban centres based on data from the Global Human Settlement Layer (GHSL) produced at the Joint Research Centre of the European Commission, unit E.1 (Disaster Risk Management). This release is based on the GHSL Data Package 2023, the Degree of Urbanisation to delineate spatial entities, and geospatial data integration from a variety of open source datasets to characterise them. The result is the most complete information system on cities to date with data for 11,422 quality-controlled urban centres across 15 thematic domains, 471 indicators, and 2600 attributes. The UCDB has two data streams, one based on a fixed delineation of urban centres in 2025, and a second version based on multi-temporal delineation of urban centres, traceable over time.

The UCDB integrates data from Copernicus Services (including Emergency, Land Monitoring, Marine and Climate), peer-reviewed datasets (i.e. from the scientific literature), and institutional information systems (i.e. from the United Nations).

Contributors

How to cite

Mari Rivero, Ines; Melchiorri, Michele; Florio, Pietro; Schiavina, Marcello; Goch, Katarzyna; Politis, Panagiotis; Uhl, Johannes H; Pesaresi, Martino; Maffenini, Luca; Sulis, Patrizia; Crippa, Monica; Guizzardi, Diego; Pisoni, Enrico; Belis, Claudio; Jacome Felix Oom, Duarte; Branco, Alfredo; Mwaniki, Dennis; Kochulem, Edwin; Githira, Daniel; Carioli, Alessandra; Ehrlich, Daniele; Tommasi, Pierpaolo; Kemper, Thomas; Dijkstra, Lewis (2026): GHS-UCDB R2024A - GHS Urban Centre Database 2025. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.05RDPR0; 10.2905/1a338be6-7eaf-480c-9664-3a8ade88cbcd PID: http://data.europa.eu/89h/1a338be6-7eaf-480c-9664-3a8ade88cbcd

Keywords

Built-up per capitaBuilt-up surfaceDegree of urbanisationGHS-BUILT-SGHS-LANDGHS-POPGHS-SMODGHSLGlobal mapPopulation

Data access

Excel XLSX

XLSX is the default file format for Excel 2007 and later workbook used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language. XLSX is in reality a ZIP compressed archive with a directory structure of XML text documents.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • GHS urban centre statistics based on delineation by Degree of Urbanisation and geospatial data integration from a variety of open source datasets to characterise the urban centres for target years 1975-2030. The compressed ZIP file contain xlsx and geopackage file for UN regions and short documentation.

Excel XLSX

XLSX is the default file format for Excel 2007 and later workbook used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language. XLSX is in reality a ZIP compressed archive with a directory structure of XML text documents.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • GHS urban centre statistics based on delineation by Degree of Urbanisation and geospatial data integration from a variety of open source datasets to characterise the urban centres for target years 1975-2030. The compressed ZIP file contain csv, xlsx, and geopackage file for main thematic domains and short documentation.

Excel XLSX

XLSX is the default file format for Excel 2007 and later workbook used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language. XLSX is in reality a ZIP compressed archive with a directory structure of XML text documents.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • GHS statistics disaggregated by Degree of Urbanisation Stage I, Level 1 (grid, GHS-SMOD) and by country as delineated by the Global ADMinistrative layer version 4.1 (GADM41) for target years 1975-2030 (5 years timestep). The compressed ZIP file contain xlsx and geopackage file and short documentation.

Excel XLSX

XLSX is the default file format for Excel 2007 and later workbook used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language. XLSX is in reality a ZIP compressed archive with a directory structure of XML text documents.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • GHS urban centre statistics based on delineation by Degree of Urbanisation and geospatial data integration from a variety of open source datasets to characterise the urban centres. The compressed ZIP file contain csv, xlsx, and geopackage file with the data produced by external contributors and short documentation.

Excel XLSX

XLSX is the default file format for Excel 2007 and later workbook used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language. XLSX is in reality a ZIP compressed archive with a directory structure of XML text documents.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • GHS urban centre statistics based on delineation by Degree of Urbanisation and geospatial data integration from a variety of open source datasets to characterise the urban centres for target years 1975-2030. The compressed ZIP file contain csv, xlsx, and geopackage file for urban centres with changing boundaries over time and short documentation.

Other resources

ZIP

ZIP is an archive file format that supports lossless data compression. A ZIP file may contain one or more files or directories that may have been compressed.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • This dataset contains statistics on urban centres based on data from the Global Human Settlement Layer (GHSL) produced at the Joint Research Centre of the European Commission, unit E.1 (Disaster Risk Management). This release is based on the GHSL Data Package 2023, the Degree of Urbanisation to delineate spatial entities, and geospatial data integration from a variety of open source datasets to characterise them. The result is the most complete information system on cities to date with data for 11,422 quality-controlled urban centres across 15 thematic domains, 471 indicators, and 2600 attributes. The UCDB has two data streams, one based on a fixed delineation of urban centres in 2025, and a second version based on multi-temporal delineation of urban centres, traceable over time.

    The UCDB integrates data from Copernicus Services (including Emergency, Land Monitoring, Marine and Climate), peer-reviewed datasets (i.e. from the scientific literature), and institutional information systems (i.e. from the United Nations).

Publications

Publication
MELCHIORRI, M., MARI RIVERO, I., FLORIO, P., SCHIAVINA, M., KRASNODEBSKA, K., POLITIS, P., UHL, J., PESARESI, M., MAFFENINI, L., SULIS, P., CRIPPA, M., GUIZZARDI, D., PISONI, E., BELIS, C., OOM, D., BRANCO, A., MWANIKI, D., GITHIRA, D., KOCHULEM, E., TOMMASI, P., CARIOLI, A., EHRLICH, D., KEMPER, T. and DIJKSTRA, L., Stats in the City – the GHSL Urban Centre Database 2025, Publications Office of the European Union, Luxembourg, 2024, doi:10.2760/3046391 (online),10.2760/5259274 (print), JRC139768.
Publications Office of the European Union, Luxembourg, Luxembourg
  • The Global Human Settlement Layer (GHSL) project produces new global spatial information, evidence-based analytics and knowledge describing the human presence on 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. GHSL data continue to support the GEO Human Planet Initiative 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.

    This document describes the public release of the GHSL Urban Centre Database 2025 (GHS P2024). This release provides is based on the GHSL Data Package 2023, the Degree of Urbanisation to delineate spatial entities, and geospatial data integration from a variety of open source datasets to characterise them. The result is the most complete information system on cities to date with data for 11,422 quality controlled urban centres across 15 thematic domains, 100+ indicators, and 2500+ attributes. The UCDB has two data streams, one based on the fixed delineation of the 2025 boundaries, the other based on a multi-temporal delineation of entities and their tracking over time.

    The UCDB integrates data from Copernicus Services (including Emergency, Land Monitoring, Marine and Climate), peer-reviewed datasets (i.e. from the scientific literature), and institutional information systems (i.e. from the United Nations).

    This document serves as a documentation to the dataset and includes indicator fact sheets to navigate the database.

Spatial coverage

Temporal coverage

From date To date
1970-01-01 2070-12-31

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jrc-ghsl-data (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Agriculture, fisheries, forestry and food

dataset theme covering the domains of agriculture which involves the cultivation of plants and livestock; fisheries which focuses on the harvesting of fish from wild or farmed sources; forestry which relates to the management and conservation of forests and woodlands; and food which includes substances that provide nutritional support to organisms

Economy and finance

dataset theme covering the domains of economic activity which involves production, distribution, trade, and consumption of goods and services, and finance activity focusing on the management of money at the individual, company, or government level

Education, culture and sport

dataset theme covering the domains of education, which facilitates learning and the acquisition of knowledge, skills, values, beliefs, and habits; culture, which includes the social behaviour, norms, knowledge, beliefs, arts, laws, customs, capabilities, and habits found in human societies; and sport, encompassing competitive physical activities or games that improve physical ability, skills, and provide enjoyment to participants as well as entertainment to spectators

Energy

dataset theme covering the domain of energy, characterised as the quantitative property necessary to perform work on or heat objects, and vital element of living organisms and the operation of human civilisation

Environment

dataset theme covering the domain of environment, defined as the interaction of all living species, climate, weather, and natural resources that impact human survival and economic activity

Government and public sector

dataset theme covering the areas of government and the public sector, government being the system or group of individuals governing an organised community, usually a state, and the public sector comprising the segment of the economy involving public services and enterprises, which may be managed by central, regional or local authorities

Health

dataset theme covering the domain of health which includes health conditions, diseases, treatments, healthcare services, and health policies

Regions and cities

dataset theme covering the domains of regions and cities, where regions is defined by political geography units including sovereign states, subnational administrative areas, and multinational groupings, and cities are characterised as large human settlements

Population and society

dataset theme covering the domains of population and society, where population refers to the total number of people residing within various geographic levels from cities to the global scale, and society denotes a collective of individuals engaged in continuous social interaction within a common territory, often under the same political and cultural norms

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Transport

dataset theme covering the domain of transport, which involves the movement of humans, animals, and goods from one location to another using various modes such as air, land (rail and road), water, cable, pipeline and space

Geographical name(s)
Issued date
2024-11-04
Created date
24 Oct 2024 14:12
Modified date
04 Feb 2026 10:15
Landing page
Dataset identifier
Other identifiers
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