JRC Data Catalogue
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ENACT-POP R2020A - ENACT 2011 Population Grid

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This spatial raster dataset depicts the distribution/density of population, expressed as the number of people per cell, during night-time and daytime for each month of 2011. The grids are produced by estimating the regional and monthly stocks of population sub-groups and disaggregating the population stocks to grid level using a detailed maps of land uses, location of socioeconomic activities and built-up. The results are cross-compared against independent sources. These tasks involve the assembly and combination of statistical and geo-data from multiple sources, both conventional (e.g. official statistics, information derived from remote sensing) and non-conventional (e.g. volunteered geographic information, data from web services, proprietary thematic datasets, mobile phone data).

Contributors

How to cite

Schiavina, Marcello; Freire, Sergio; Rosina, Konstantin; Ziemba, Lukasz; Marin Herrera, Mario; Craglia, Massimo; Lavalle, Carlo; Kemper, Thomas; Batista, Filipe (2026): ENACT-POP R2020A - ENACT 2011 Population Grid. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.A1Y34FG; 10.2905/BE02937C-5A08-4732-A24A-03E0A48BDCDA PID: http://data.europa.eu/89h/be02937c-5a08-4732-a24a-03e0a48bdcda

Keywords

CLCENACTEuropean mapGHSLLUISAPopulation grid

Data access

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.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

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

  • ENACT seasonal nighttime and daytime population grids for 2011. Values are expressed as decimals (Float). The data is published at 1 km resolution in Lambert Azimuthal Equal Area (EPSG:3035), 12 monthly nightime grids and 12 daytime grids, and at 30 arc-seconds in WGS-84 (EPSG:4326), 12 monthly nightime grids and 12 daytime grids. The compressed ZIP file contain TIF files and short documentation.

Other resources

HTML

HTML is the standard markup language used to create web pages and its elements form the building blocks of all websites.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

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

  • Project Web site

Publications

Publication
Schiavina, M., Carneiro Freire, S., Rosina, K., Ziemba, L., Marín Herrera, M., Craglia, M., Lavalle, C., Kemper, T. and Batista E Silva, F., ENACT 2011 Population grids, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-10719-4 (online), doi:10.2760/27863 (online), JRC119548.
Publications Office of the European Union, Luxembourg, Luxembourg
  • The ENACT grids are a set of consistent, seamless, multi-temporal and validated population density grids for the European Union that take into account major daily and monthly population variations. These grids were produced by combining official statistical data at regional level with geo-spatial data from conventional and non-conventional data sources. The grids display maximum population density at day- and night-time for each month of the year (i.e. 24 population grids in total), at a spatial resolution of 1 x 1 km resolution for the whole EU-28. This is a major contribution to the state-of-the-art information on population density in Europe, as prior grids considered only static residential population (i.e. night-time). The newly released grids were produced in the context of the JRC ENACT exploratory research project, “ENhancing ACTivity and population mapping. This document accompanies the public release of the ENACT 2011 Population Grids and describes the contents.

Publication
Batista E Silva, F., Carneiro Freire, S.M., Schiavina, M., Rosina, K., Marín Herrera, M.A., Ziemba, L.W., Craglia, M., Koomen, E. and Lavalle, C., Uncovering temporal changes in Europe’s population density patterns using a data fusion approach, NATURE COMMUNICATIONS, ISSN 2041-1723 (online), 11, 2020, p. 4631, JRC121574.
NATURE PUBLISHING GROUP, LONDON, ENGLAND
  • The knowledge of the spatial and temporal distribution of human population is vital for the study of cities, disaster risk management or planning of infrastructure. However, information on the distribution of population is often based on place-of-residence statistics from official sources, thus ignoring the changing population densities resulting from human mobility. Existing assessments of spatio-temporal population are limited in their detail and geographical coverage, and the promising mobile-phone records are hindered by issues concerning availability and consistency. Here, we present a multi-layered dasymetric approach that combines official statistics with geospatial data from emerging sources to produce and

    validate a European Union-wide dataset of population grids taking into account intraday and monthly population variations at 1 km2 resolution. The results reproduce and systematically quantify known insights concerning the spatio-temporal population density structure of large European cities, whose daytime population we estimate to be, on average, 1.9 times higher than night time in city centers.

Spatial coverage

Temporal coverage

From date To date
2011-01-01 2011-12-31

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)
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

Geographical name(s)
European Union
Issued date
2020-01-29
Created date
09 Jan 2020 09:13
Modified date
07 Aug 2025 15:29
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Dataset identifier
Other identifiers
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