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Nordic Yearbook of Population Research

Regional Variation in the Association Between the Changes of the Old-Age and Low-Income Shares in Finland during 2000–2020

Authors

Timo Kauppinen
Finnish Institute for Health and Welfare
https://orcid.org/0000-0002-5489-6653
Milena Nevanto
University of Helsinki
https://orcid.org/0009-0007-9882-4866

DOI

https://doi.org/10.23979/nypr.161380

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Abstract

Regional differences in ageing lead to differences in the societal challenges caused by ageing population. However, also the development of the socioeconomic composition matters. We investigated how the change of share of the 65+ years old predicted the development of the low-income share in the working-age population in Finnish regions between 2000 and 2020 and how this depended on other regional characteristics. We used full-population register-based data and growth-curve analysis. We found regional and temporal variation in the association between the changes. Other regional characteristics such as urbanicity and GDP per capita helped in explaining the regional variation, although mostly in the 2010s. The trajectories of both shares were associated with regional ‘vitality’, and in the case of the old-age share, this association seems to be partly mediated by migration. Our findings suggest that straightforward assumptions of income development based on changes in the age composition should be avoided.

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References

Aro, T. (2020). 2010-luvun muuttoliike on ollut alueellisesti keskittävää, valikoivaa ja polarisoivaa [Migration in the 2010s has been regionally concentrating, selective, and polarising]. In Sorsa, T. (Ed.) Kestävän väestönkehityksen Suomi. Väestöliiton väestöpoliittinen raportti 2020, pp. 169-86, Population Research Institute, Reviews E54. Helsinki: Family Federation of Finland.

Backman, M., & Karlsson, C. (2024). Ageing places: convergence and the role of the foreign popula¬tion. Regional Studies 58(5), 922-37. https://doi.org/10.1080/00343404.2023.2228347

Baldwin, S.A., Imel, Z.E., Braithwaite, S.R., & Atkins, D.C. (2014). Analyzing multiple outcomes in clinical research using multivariate multilevel Models. Journal of Consulting and Clinical Psy¬chology 82(5), 920-30. https://doi.org/10.1037/a0035628

Bernard, J., & Keim-Klärner, S. (2023). Disadvantaged and disadvantaging regions: opportunity structures and social disadvantage in rural peripheries. Tijdschrift voor Economische en Sociale Geografie 114(5), 463-78. https://doi.org/10.1111/tesg.12589

Bocqueir, P., & Costa, R. (2015). Which transition comes first? Urban and demographic transitions in Belgium and Sweden. Demographic Research 33(48), 1297-332. https://doi.org/10.4054/Dem-Res.2015.33.48

https://doi.org/10.4054/DemRes.2015.33.48

Boulant, J., Brezzi, M., & Veneri, P. (2016). Income Levels And Inequality in Metropolitan Areas: A Comparative Approach in OECD Countries. OECD Regional Development Working Papers, No. 2016/06, Paris: OECD Publishing. https://doi.org/10.1787/5jlwj02zz4mr-en

Brunow, S., & Hirte, G. (2006). Age structure and regional economic growth. Jahrbuch für Regional-wissenschaft 26, 3-23. https://doi.org/10.1007/s10037-005-0075-4

Cruz, M., & Ahmed, S.A. (2018). On the impact of demographic change on economic growth and poverty. World Development 105, 95-106. https://doi.org/10.1016/j.worlddev.2017.12.018

Curran, P. J., McGinley, J. S., Serrano, D., & Burfeind, C. (2012). A multivariate growth curve model for three-level data. In Cooper, H., Camic, P.M., Long, D.L., Panter, A.T., Rindskopf, D., & Sher, K.J. (Eds.) APA handbook of research methods in psychology, Vol. 3. Data analysis and research publication, pp. 335-58. American Psychological Association. https://doi.org/10.1037/13621-017

Dyson, T. (2011). The role of the demographic transition in the process of urbanization. Population and Development Review 37(s1), 34-54. https://doi.org/10.1111/j.1728-4457.2011.00377.x

ESPON (2021). The ageing revolution: towards a European Silver Deal? Demographic transforma¬tions for age-friendly territories. Policy Brief. https://archive.espon.eu/ageing-revolution#:~:tex-t=In%20a%20conference%20on%20ageing,on%20ageing%20in%20December%202020 [ac¬cessed 30 April 2025].

Eurostat (2020). Ageing Europe-Looking at the lives of older people in the EU-2020 Edition. https:// ec.europa.eu/eurostat/web/products-statistical-books/-/ks-02-20-655 [accessed 30 April 2025].

- (2024). Economy at regional level. https://ec.europa.eu/eurostat/statistics-explained/index.php?ol-did=651284 [accessed 7 April 2025].

Ghio, D., Bosco, C., Natale, F., Loeschner, J., & Goujon, A. (2023). Age patterns of net migration and urbanisation dynamics across European municipalities. Population, Space and Place 29(1), e2599. https://doi.org/10.1002/psp.2599 24

Gregory, T., & Patuelli, R. (2015). Demographic ageing and the polarization of regions-an ex¬ploratory space-time analysis. Environment and Planning A 47(5), 1192-210. https://doi.org/10.1177/0308518X15592329

Harper, S. (2014). Economic and social implications of aging societies. Science 346, 587-91. https://doi.org/10.1126/science.1254405 https://doi.org/10.1126/science.1254405

Heikkilä, E., & Pikkarainen, M. (2010). Differential population development in the regions of Fin¬land. Population, Space and Place 16(4), 323-34. https://doi.org/10.1002/psp.561

Helminen, V., Nurmio, K., & Vesanen, S. (2020). Kaupunki-maaseutu-alueluokitus 2018. Paikkati¬etopohjaisen alueluokituksen päivitys. [Urban-rural classification 2018. Update of the GIS-based regional classification]. Suomen ympäristökeskuksen raportteja 21/2020. Helsinki: Suomen ympäristökeskus. http://urn.fi/URN:ISBN:978-952-11-5172-9

Hoffman, L., & Walters, R.W. (2022). Catching Up on Multilevel Modeling. Annual Review of Psy¬chology 73, 659-89. https://doi.org/10.1146/annurev-psych-020821-103525

Honkatukia, J., & Pihlava, M. (2024). Hyvinvointialueiden palvelutarpeen ennakointityökalu. Doku¬mentaatio. [Prediction tool for the service needs in wellbeing services counties. Documentation]. Helsinki: Finnish Institute for Health and Welfare.

Häkkinen, U., Holster, T., Haula, T., Kapiainen, S., Kokko, P., Korajoki, M., Mäklin, S., Nguyen, L., Puroharju, T., & Peltola, M. (2020). Sote-rahoituksen tarvevakiointi [Need adjustment for financ¬ing health and social services in Finland]. Raportti 6/2020. Helsinki: Finnish Institute for Health and Welfare. https://urn.fi/URN:ISBN:978-952-343-483-7

Karvonen, S. & Kauppinen, T. M. (2009) Kuinka Suomi jakautuu 2000-luvulla? Hyvinvoinnin muut¬tuvat alue-erot. Yhteiskuntapolitiikka 74(5), 467-86. https://urn.fi/URN:NBN:fi-fe202402157388

Kashnitsky, I., & Schöley, J. (2018). Regional population structures at a glance. The Lancet 392(10143), 209-10. https://doi.org/10.1016/S0140-6736(18)31194-2

Kashnitsky, I. & De Beer, J. & Van Wissen, L. (2020). Economic convergence in ageing Europe. Tijd¬schrift voor Economische en Sociale Geografie 111(1), 28-44. https://doi.org/10.1111/tesg.12357

- (2021). Unequally ageing regions of Europe: Exploring the role of urbanization. Population Stud¬ies 75(2), 221-37. https://doi.org/10.1080/00324728.2020.1788130

Kotschy, R., & Sunde, U. (2018). Can education compensate the effect of population ageing on macroeconomic performance? Economic Policy 33(96), 587-634. https://doi.org/10.1093/epolic/eiy011

Kuivalainen, S., Rantala, J., Ahonen, K., Kuitto, K., Palomäki, L.M. & Liukko, J. (2022). Eläkkeet ja eläkeläisten toimeentulo. Kehitys vuosina 1995-2020. [Pensions and pensioners' economic wellbeing - Development from 1995 to 2020]. Studies 06/2022. Helsinki: Finnish Centre for Pen¬sions. https://urn.fi/URN:ISBN:978-951-691-357-8

Lehtonen, O., & Tykkyläinen, M. (2010). Self-reinforcing spatial clusters of migration and socio-eco¬nomic conditions in Finland in 1998-2006. Journal of Rural Studies 26(4), 361-73. https://doi.org/10.1016/j.jrurstud.2010.02.003

Leeson, G.W. (2018). The growth, ageing and urbanisation of our world. Population Ageing 11, 107-15. https://doi.org/10.1007/s12062-018-9225-7 25

Lin, C-H.A., Lahiri, S. & Hsu, C-P. (2015). Population aging and regional income inequality in Tai¬wan: a spatial dimension. Social Indicators Research 122, 757-77. https://doi.org/10.1007/s11205- 014-0713-8

Lutz, W., Sanderson, W., & Scherbov, S. (2008). The coming acceleration of global population ageing. Nature 451(7179), 716-9. https://doi.org/10.1038/nature06516

Malmberg, A., Malmberg, B. & Maskell, P. (2023). Population age structure - An underlying driver of national, regional and urban economic development. ZFW - Advances in Economic Geography 67(4), 217- 33. https://doi.org/10.1515/zfw-2023-0040

Mäki-Fränti, P. (2016). Alueelliset tuloerot Suomessa 2016 [Regional income inequalities in Finland 2016]. Euro & Talous, Analyysi 30. https://urn.fi/URN:NBN:fi:bof-201612011510

Nevanto, M., Ilmarinen, K., & Kauppinen, T.M. (2024). Alueelliset erot väestön ikärakenteessa ja ikääntyneiden elinoloissa [Regional differences in age structure and living conditions in the older population]. Yhteiskuntapolitiikka 89(1), 29-43. https://urn.fi/URN:NBN:fi-fe202402157388

Prenzel, P. (2021). Are old regions less attractive? Interregional labour migration in a context of popu¬lation ageing. Papers in Regional Science 100(6), 1429-47. https://doi.org/10.1111/pirs.12627

Prenzel, P. & Iammarino, S. (2021). Labor force aging and the composition of regional human capital. Economic Geography 97(2), 140-63. https://doi.org/10.1080/00130095.2021.1885294

Rodríguez-Pose, A., & Tselios, V. (2010). Inequalities in income and education and regional economic growth in western Europe. The Annals of Regional Science 44, 349-75. https://doi.org/10.1007/ s00168-008-0267-2

Rotkirch, A. (2021) Syntyvyyden toipuminen ja pitenevä elinikä. Linjauksia 2020-luvun väestöpolitii¬kalle. [Recovery of the birth rate and longer life expectancy - population policy guidelines for the 2020s]. Prime Publications 2021:2. Helsinki: Prime Minister's Office. http://urn.fi/ URN:ISBN:978-952-383-073-8

Statistics Finland (2025). StatFin database. https://pxdata.stat.fi/PxWeb/pxweb/en/StatFin/ [accessed 30 April 2025].

Tervo, H. (2023). Kaupungistuminen ja alueiden väliset tuloerot Suomessa. Yhteiskuntapolitiikka 88(3), 305-14. https://urn.fi/URN:NBN:fi-fe2023061454859

Tuomaala, E. (2016). Seutukuntien väliset tuloerot ovat kaventuneet 2000-luvulla [Income inequalities between sub-regions have diminished in the 2000s]. Tieto & trendit. https://stat.fi/tietotrendit/ar-tikkelit/2016/seutukuntien-valiset-tuloerot-ovat-kaventuneet-2000-luvulla [accessed 5 September 2024]

Van Der Gaag, N., & de Beer, J. (2015). From demographic dividend to demographic burden: the im¬pact of population ageing on economic growth in Europe. Tijdschrift voor Economische en Sociale Geografie 106(1), 94-109. https://doi.org/10.1111/tesg.12104

Zhang, H., Zhang, H., & Zhang, J. (2015). Demographic age structure and economic development: Evidence from Chinese provinces. Journal of Comparative Economics 43(1), 170-85. https://doi.org/10.1016/j.jce.2014.07.002

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DOI
Published
November 28, 2025
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Section
Articles
Keywords population ageing, regional development, socioeconomic population composition, Finland, migration, urbanicity
How to Cite
Kauppinen, T., & Nevanto, M. (2025). Regional Variation in the Association Between the Changes of the Old-Age and Low-Income Shares in Finland during 2000–2020 . Nordic Yearbook of Population Research, 58, 1-26. https://doi.org/10.23979/nypr.161380
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