JRC Data Catalogue
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ARDECO Local Population Time-Series – 1961-2024

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The ARDECO Local Population Time-Series dataset provides total resident population counts at the level of Local Administrative Units (LAU) version 2021 (usually equivalent to municipality boundaries), fully consistent with the ARDECO database 1st of January population totals (2026.02 release), covering the period 1961–2024, with ten-year intervals between 1961 and 2021.

UNIT OF MEASURE: Total resident population.

RESOLUTION: Local Administrative Unit level.

COMPLETENESS: 100%.

POLICY CONTEXT: This dataset supports regional, urban and rural analyses by providing a harmonised LAU-level population time series consistent with ARDECO, enabling the assessment of long-term demographic change, population dynamics, growing and declining areas, and the assessment of the evolution of the degree of urbanisation in Europe.

METHODOLOGY: The ARDECO Local Population Time-Series – 1961-2024 was produced by reallocating population data from a set of heterogeneous spatial units to a single, target geography: Local Administrative Units (LAU) version 2021. This process was done using an dasymetric spatial interpolation, as follows: for each year in the time-series, the original spatial units were intersected with the target LAU 2021 boundaries, generating a set of intersected zones. The population counts of each year were then redistributed to each intersected zone proportionally to a residential built-up volume proxy and subsequently aggregated to the target LAU 2021 units. Residential built-up volume proxy for each year in the time-series was obtained from the GHSL built-up volume time series (GHS-BUILT-V, R2023A), modified with a residential mask from the LUISA Base Map 2018, which was kept fixed and applied unchanged across the entire time-series. Finally, the resulting population figures at LAU 2021 were rescaled to ensure full consistency with ARDECO 1st of January population totals (2026.02 release) at the NUTS3 level for each year in the time-series (with the exception of UK, which is not included in ARDECO). Population data for 2021 in EU27 countries, Liechtenstein, Norway, Switzerland, and Iceland were already originally available for the LAU version 2021.

DATA SOURCES: Population data (EU27, Norway, Liechtenstein, Switzerland): Eurostat, 2024; CensusHub, 2011-2021; historical LAU population data, 1961–2001. Population data (United Kingdom): UK Census, 2021; historical LAU population data, 1961–2011. Population data (Iceland): Iceland Census, 2021; historical LAU population data, 1961–2011.Origin territorial units (EU27, Norway, Liechtenstein, Switzerland): LAU version 2024, 2024; GISCO_DB geometries, 2011; historical LAU geometries, 1961–2001. Origin territorial units (United Kingdom): Output Areas, 2021; historical LAU geometries, 1961–2011. Origin territorial units (Iceland): MSOAs, 2021; historical LAU geometries, 1961–2011. Proxy data: GHSL Built-up Volume (GHS-BUILT-V, R2023A); LUISA Base Map, 2018. Target population reference: ARDECO database, reference date: 18 February 2026. Target territorial units: Local Administrative Units (LAU), version 2021.

UNCERTAINTY AND LIMITATIONS: Missing values and inaccuracies may be present in the input population datasets (CensusHub, historical LAU population data, ARDECO). Additional uncertainty is introduced during the reallocation of population to the LAU version 2021 boundaries. The proxy layer used for redistribution inherits limitations from the original datasets, including land-use classification errors and omission and commission errors. Furthermore, the disaggregation method assumes a perfect correlation between residential population and residential built-up volume within each intersected zone.

Contributors

How to cite

Pigaiani, Cristian; Tucci, Michele; Batista, Filipe (2026): ARDECO Local Population Time-Series – 1961-2024. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.RY9SDGR PID: http://data.europa.eu/89h/37fcacbf-12e2-4b31-b1af-83117a74b2c7

Keywords

ARDECOLAUPopulation

Data access

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

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.

  • CSV file providing total resident population counts at LAU level for the period 1961–2021 at ten-year intervals, plus 2024 population figures, along with the corresponding geographical boundaries.

Temporal coverage

From date To date
1961-01-01 2024-01-01

Additional information

Published by
European Commission, Joint Research Centre
Contact email
filipe.batista (at) ec.europa.eu
Dataset type
Geospatial data

Geospatial data is data that has explicit geographic positioning information included within it in either vector or raster format.

Access rights
public

access status for resources that are publicly accessible

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)
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

Geographical name(s)
Issued date
2026-04-15
Created date
15 Apr 2026 07:40
Modified date
15 Apr 2026 08:55
Dataset identifier
Other identifiers
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