Depopulation and population ageing in Europe in the 2010s: A regional approach

The paper analyses European countries and NUTS-3 units to determine which of them experienced depopulation in the 2010s, as well as the causes of this process. The progression of demographic ageing, particularly in countries and NTS3 units with annual population declines, is also examined. European countries and NTS3 units in selected years and periods between 2011 and 2020 are studied based on Eurostat vital statistics, data on migratory movements and population age structures using descriptive statistics, time-series methods, Webb’s method, and cluster analysis. The data and research results are illustrated with tables, graphs, and choropleth maps. In the 2010s, depopulation processes mainly occurred in Eastern and Southern Europe. The study found that between 2011 and 2020, eight countries (Bulgaria, Croatia, Greece, Hungary, Latvia, Romania, Serbia, and Ukraine) suffered population decreases annually, three countries (Albania, Lithuania, and Portugal) had only one or two years without a population loss, and four countries (Bulgaria, Croatia, Latvia, and Romania) were demographically the most disadvantaged as their populations decreased due to natural causes and migration in almost all years in the 2010s. Most of the annually depopulating countries were relatively similar in terms of the population age structure. NTS3 units with annual population declines and a similar population age structures were found within the same country or in neighbouring areas in adjacent countries.

Authors

Institutions

Publication Details

Journal
European Spatial Research and Policy
Published
2024-12-30
DOI
https://doi.org/10.18778/1231-1952.31.2.05
Citations
3
Primary Topic
Migration, Aging, and Tourism Studies
Type
article
Field-Weighted Citation Impact
5.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Depopulation and population ageing in Europe in the 2010s: A regional approach

Anna Majdzińska
3 citations
European Spatial Research and Policy
Migration, Aging, and Tourism Studies
5.12
article

Depopulation and population ageing in Europe in the 2010s: A regional approach

Anna Majdzińska
article en
3 citations

Abstract

The paper analyses European countries and NUTS-3 units to determine which of them experienced depopulation in the 2010s, as well as the causes of this process. The progression of demographic ageing, particularly in countries and NTS3 units with annual population declines, is also examined. European countries and NTS3 units in selected years and periods between 2011 and 2020 are studied based on Eurostat vital statistics, data on migratory movements and population age structures using descriptive statistics, time-series methods, Webb’s method, and cluster analysis. The data and research results are illustrated with tables, graphs, and choropleth maps. In the 2010s, depopulation processes mainly occurred in Eastern and Southern Europe. The study found that between 2011 and 2020, eight countries (Bulgaria, Croatia, Greece, Hungary, Latvia, Romania, Serbia, and Ukraine) suffered population decreases annually, three countries (Albania, Lithuania, and Portugal) had only one or two years without a population loss, and four countries (Bulgaria, Croatia, Latvia, and Romania) were demographically the most disadvantaged as their populations decreased due to natural causes and migration in almost all years in the 2010s. Most of the annually depopulating countries were relatively similar in terms of the population age structure. NTS3 units with annual population declines and a similar population age structures were found within the same country or in neighbouring areas in adjacent countries.

European Spatial Research and PolicyVol. 31(2)
University of Łódź (PL)
Openalex Percentile: Top 4%
Migration, Aging, and Tourism Studies
5.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.