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Bulletin of Geography. Socio-economic Series

Assessment of population ageing using the statistical method of spatial autocorrelation: a case study of Nitra Region (Slovakia)
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Assessment of population ageing using the statistical method of spatial autocorrelation: a case study of Nitra Region (Slovakia)

Authors

  • Gabriela Repaská Constantine the Philosopher University in Nitra https://orcid.org/0000-0002-2098-9237
  • Jana Némethová Constantine the Philosopher University in Nitra, Slovakia https://orcid.org/0000-0001-8321-5717

DOI:

https://doi.org/10.12775/bgss-2026-0016

Keywords

indicators of population ageing, spatial autocorrelation, regionalisation, Nitra Region, Slovakia

Abstract

This case study presents a comprehensive analysis of the issue of population ageing in the municipalities of the Nitra Region, which in 2022 had the second highest proportion of people of post-productive age (19.5%) among regions in Slovakia and has long been the region with the oldest population in Slovakia. Changes in the age structure of the region's population are monitored in three time periods (1996–2004, 2005–2013, 2014–2022). This case study provides new and relevant findings on differentiations in population ageing at the local level within the region monitored. In this paper, we address the issue of population ageing through spatial statistics using the spatial autocorrelation method, where the observed indicators comprised both simple and more complex rates of population ageing. Changes in ageing were observed across all three monitored periods. ...

Author Biographies

Gabriela Repaská, Constantine the Philosopher University in Nitra

Department: Department of Geography, Geoinformatics and Regional Development, Faculty of Natural Sciences and Informatics

Rank: assistant professor

Jana Némethová, Constantine the Philosopher University in Nitra, Slovakia

Department: Department of Geography, Geoinformatics and Regional Development, Faculty of Natural Sciences and Informatics

Rank: associate professor

References

Alders, P., &. Schut, F.T. (2019). Trends in ageing and ageing-in-place and the future market for institutional care: scenarios and policy implications. Health Economics, Policy and Law, 14(1), 82–100. http://doi.org/10.1017/S1744133118000129

Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis 27(2), 93–115. https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1538-4632.1995.tb00338.x

Anselin, L. (1996). The Moran scatterplot as an ESDA tool to assess local instability in spatial association. In: M. Fischer, H. Scholten, and D. Unwin (eds), Spatial Analytical Perspectives on GIS, 111–125. London: Taylor and Francis.

ArcGIS 10.2.2. Redlans, CA: ESRI

Bleha, B., Šprocha, B., & Vaňo, B. (2014). Demografická prognóza okresov Slovenska do roku 2035 v kontexte odhaľovania geografickej nerovnomernosti a konvergencie (Population forecast of districts in the Slovak Republic until 2035. Context of regional inequality and potential convergence – in Slovak). Acta Geographica Universitatis Comenianae, 58(1), 11–44.

Billeter, E.P. (1954). Eine Masszahl zur Beurteilung der Altersverteilung einer Bevölkerung (A measure used to assess the age distribution of a population – in German). Schweizerische Zeitschrift für Volkswirtschaft und Statistik, 90, 496–505.

Börsch-Supan, A. H. (2010). General Macroeconomic Overvierw. Grand Challenges of Our Aging Society: Workshop Summary. National Research Council, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press.

Deeg, D.J.H., & Wahl, H.W. (2012). The European Journal of Ageing in the European Year for Active Ageing. European Journal of Ageing, 9(1), 1–2. http://doi.org/10.1007/s10433-012-0218-8.

Fors, S., Wastesson, J.W., & Morin, L. (2021). Growing income-based inequalities in old-age life expectancy in Sweden, 2006-2015. Demography, 58(6), 2117–2138. https://doi.org/10.1215/00703370-9456514

Fotheringham, S.A., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression - The Analysis of Spatially Varying Relationships. London: JohnWiley & Sons.

Getis, A. (2008). A history of the concept of spatial autocorrelation: A geographer‘s perspective. Geographical Analysis, 40, 297–309.

Getis, A., & Ord, J.K. (2010). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24, 189–206.

Gołata, E., & Kuropka, I. (2016). Large cities in Poland in face of demographic changes. Bulletin of Geography. Socio-economic Series, 34, 17–31. http://doi.org/10.1515/bog-2016-0032

Goldstein, J.R., Sobotka, T., & Jasilioniene, A. (2009). The end of lowest-low fertility? Population and Development Review, 35(4), 663–699.

Gregory, D., Johnston, R., Pratt, G., .Watts, M., & Whatmore, S. (2009). The Dictionary of Human Geography, 5th Edition. Oxford: Blackwell.

Izekenova A.K., Qumar, A.B., Abikulova, A.K., & Izekenova, A.K. (2015). Trends in ageing of the population and the life expectancy after retirement: A comparative country-based analysis. Journal of Research in Medical Sciences, 20(30), 250–252.

Kauppi, M., Virtanen, M., Pentti, J., Aalto, V., Kivimäki, M., Vahtera, J., & Stenholm, S. (2021). Social network ties before and after retirement: a cohort study. European Journal of Ageing, 18(4), 503–512. http://doi.org/10.1007/s10433-021-00604-y

Kashnitsky, I., De Beer, J., & Van Wissen, L.V. (2018). Economic convergence in ageing Europe. Tijdschrift voor Economische en Sociale Geografie, 111(1), 28–44. http://doi.org/10.1111/tesg.12357

Káčerová, M., & Bleha, B. (2007). Teoretické východiská populačného starnutia a retrospektívny pohľad na starnutie Európy (Theoretical foundations of population ageing and a retrospective view of the ageing of Europe – in Slovak). Slovak statistics and demography, 17(3), 43–61.

Káčerová, M., Ondačková, J., & Mládek, J. (2012). A comparison of population ageing in the Czech Republic and the Slovak Republic based on generation support and exchange. Moravian Geographical Reports, 20(4), 26–38.

Káčerová, M., Ondačková, J., & Mládek, J. (2014). Time-space differences of population ageing in Europe. Hungarian Geographical Bulletin, 63(2), 177–199. http://doi.org/10.15201/hungeobull.63.2.4

Káčerová, M., & Nováková, M. (2016). Vplyv populačných procesov na starnutie obyvateľstva v krajinách V4 (The impact of population processes on population ageing in the V4 countries – in Slovak). Slovak statistics and demography, 26(2), 47–62.

Kim, D., Šamonil, P., Jeong, G., Tejnecký, V., Drábek, O., Hruška, J., & Park, S.J. (2019). Incorporation of spatial autocorrelation improves soil-landform modeling at A and B horizons. Catena, 183, 104226. http://doi.org/10.1016/j.catena.2019.104226

Kiniorska, I., Brambert, P., Kamińska, W., & Kopacz-Wyrwał, V. (2023). Aging of the society: the European perspective. Bulletin of Geography. Socio-economic Series, 60(60), 81–100. http://doi.org/10.12775/bgss-2023-0017

Klusmann, V., & Kornadt, AE. (2020). Current directions in views on ageing. European Journal of Ageing, 17(4), 383–386. https://doi.org/10.1007/s10433-020-00585-4

Kocourková, J. (1998). Populační vývoj Východní a Západní Evropy v letech 1950 – 1990. (Population development of Eastern and Western Europe in the years 1950–1990 – in Slovak). Demografie: Revue pro výzkum populačního vývoje, 40(4), 247–257.

Krajňáková, E., & Vojtovič, S. (2017). Struggles of Older Workers at the Labour Market. Economics and Sociology, 10(1), 319–333. http://doi.org/10.14254/2071-789X.2017/10-1/23

Krejčí, T., Martinát, S., & Klusáček, P. (2011). Spatial differentiation of selected processes connected to the second demographic transition in post-socialistic cities (the examples of Brno and Ostrava, Czech Republic). Moravian Geographical Report, 19(2), 39–50.

Leszko, M., Zając-Lamparska, L., & Trempala, J. (2015). Aging in Poland. Gerontologist, 55(5), 707–715. http://doi.org/10.1093/geront/gnu171

Lima, I.Q., Ramos, O.R., Muñoz, M.O., Aguirre, J.Q., Duwig, C., Maity, J.P., Sracek, O., & Bhattacharya, P. (2020). Spatial dependency of arsenic, antimony, boron and other trace elements in the shallow groundwater systems of the Lower Katari Basin, Bolivian Altiplano. Science of the Total Environment, 719, 137505. http://doi.org/10.1016/j.scitotenv.2020.137505

Loichinger, E., Hammer, B., Prskawetz, A., Freiberger, M., & Sambt. J. (2015). Quantifying economic dependency. European Journal of Population, 33(3), 351–380. http://doi.org/10.1007/s10680-016-9405-1

Marin, B., & Zaidi, A. (2010). Trends and Priorities of Ageing Policies in the UN-European Region. Mainstreaming Ageing, 61–105. London: Routledge. Available at: https://www.researchgate.net/publication/237232325

McHugh, E.K. (2006). Ageing and place: Perspectives, policy, practice. The Professional Geographer, 58(4), 493–495. httpsdoi.org/10.1111/j.1467-9272.2006.00585_1.x

Mládek, J., & Káčerová, M. (2008). Analysis of population agein in Slovakia: time and regional dimensions. Geographical Journal, 60(2), 179–197.

Mládek, J., Káčerová, M., & Stankovičová, I. (2018). Regionálna diferencovanosť populačného starnutia v Európe (Regional differentiation of population ageing in Europe – in Slovak). Geographia Cassoviensis, 12(1), 92–109.

Mierzejewska, L., & Parysek, J. (2013). Regional differences in the age structure of Poland’s population in the years 1999–2010: a multivariate approach. Bulletin of Geography. Socio-economic Series, 19, 61–72. http://doi.org/10.1515/bog-2013-0004

Ministry Of Finance Of The Slovak Republic (2022). We Don‘t Age as Fast as Expected. Available at: https://www.mfsr.sk/sk/media/tlacove-spravy/nezostarneme-tak-rychlo-ako-cakalo.html?forceBrowserDetector=blind (Accessed: 22 April 2026).

Molnár, T., & Koczor-Keul, M. (2013). A Magyar társadalom elöregedésének vizsgálata európai összehasonlításban (Analysis of Demographic Aging in Hungary in European Comparison – in Slovak). Deturope - The Central European Journal of Regional Development and Tourism, 5(1), 23–41. http://doi.org/10.32725/det.2013.003

Nagarajan, N.R., & Sixsmith, A. (2023). Policy initiatives to address the challenges of an older population in the workforce. Ageing International, 48, 41–77. https://doi.org/10.1007/s12126-021-09442-w

Nagarajan, N.R., Wada, M., Fang, M.L., & Sixsmith, A. (2019). Defining organizational contributions to sustaining an ageing workforce: a bibliometric review. European Journal of Ageing, 16, 337–361. https://doi.org/10.1007/s10433-019-00499-w

Netrdova, P., & Nosek, V. (2017). Exploring the variability and geographical patterns of population characteristics: Regional and spatial perspectives. Moravian Geographical Reports, 25(2), 85–94. http://doi.org/10.1515/mgr-2017-0008

Ondačková, J., Káčerová, M., Mládek, J., Popjaková, D., & Vančura, M. (2018). Population age structure transformation in the capitals of the visegrad group countries. Geographia Polonica, 91(3), 281–299. https://doi.org/10.7163/GPol.0121

Petrucci, A., & Salvati, N. (2020). Small area estimation for spatial correlation in watershed erosion assessment. Journal of Agricultural, Biological and Environmental Statistics, 11(2), 169–182. http://doi.org/10.1198/108571106X110531

Plane, A.D., & Rogerson, P.A. (1991). Tracking the baby boom, the baby bust, and the echo generations: how age composition regulates us migration. The Professional Geographer, 43(4), 416–430. https://doi.org/10.1111/j.0033-0124.1991.00416.x

Rees, P., van der Gaag, N., de Beer, J. & Heins, F. (2012). European regional populations: Current trends, future pathways, and policy options. European Journal of Population, 28(4), 385–416. http://doi.org/10.1007/s10680-012-9268-z

Reher, D.S. (2011). Economic and social implications of the demographic transition. In: Ronald, D., Lee, S., David S. (eds), Reher Demographic Transition and Its Consequences, 11-33. New York: Population Council.

Requena, C., Martínez, A.M., & Ortiz, T. (2010). Vital satisfaction as a health indicator in elderly women. Journal of Women & Aging, 22(1), 15–21. https://doi.org/10.1080/08952840903488872

Repaská, G. (2022). Vybrané aspekty vekovej štruktúry obyvateľstva krajín V4 a prognóza jej vývoja (Selected aspects of the age structure of v4 countries and forecasts of development – in Slovak). Geographical Information, 26(2), 153–168. http://doi.org/10.17846/GI.2022.26.2.153-168

Sanchez-Barricarte, J.J., & Fernandez-Carro, R. (2009). Patterns in the Delay and Recovery of Fertility in Europe. European Journal of Population, 23(2), 145–170.

Scherbov, S., & Sanderson, W.C. (2020). New approaches to the conceptualization and measurement of age and ageing. Developments in Demographic Forecasting, 49, 243–258. http://doi.org/10.1007/978-3-030-42472-5_12

Shoven, J.B., & Goda, G.S. (2008). Adjusting government policies for age inflation.

In: Shoven, J.B., Goda, G.S. (eds), Demography and the Econom, 143–162, Chicago: University of Chicago Press.

Slavík, V., Grác, R., & Klobučník, M. (2020). Spatial autocorrelation - method for defining and classifying regions in the context of socio-economic regionalization in the Slovak Republic. Sociológia - Slovak Sociological Review, 43(2), 183–204.

Sobotka, T. (2008). The diverse faces of the second demographic transition in Europe. Demographic Research, 19(8), 171–224.

Sobotka, T. (2011). Fertility in Central and Eastern Europe after 1989: Collapse and gradual recovery. Historical Social Research, 36(2), 246–296. https://doi.org/10.12759/hsr.36.2011.2.246-296

Sobotka, T., Zeman, K., Lesthaeghe, R., Frejka, T., & Neels, K. (2011). Postponement and recuperation in cohort fertility: Austria, Germany and Switzerland in a European context. Comparative Population Studies – Zeitschrift für Bevölkerungswissenschaft, 36(2–3), 417–452. http://doi.org/10.4232/10.CPoS-2011-10en

Statistical Office Of The Slovak Republic. (2023). Available at: http://www.statistics.sk (Accessed: 22 April 2026).

Šídlo, L., Šprocha, B., & Ďurček, P. (2020). A retrospective and prospective view of current and future population ageing in the European Union 28 countries. Moravian Geographical Reports, 28(3), 187–207. https://doi.org/10.2478/mgr-2020-0014

Šprocha, B. (2015). Vekové zloženie obyvateľstva v Slovenskej republike a krajoch a jeho prognóza do roku 2030 (The age structure of the population in the Slovak Republic and in regions and its projection up to 2030 – in Slovak). Slovak statistics and demography, 25(3), 7–21.

Šprocha, B., Šídlo, L., Klapková, M., & Ďurček, P. (2018). Nové prístupy k hodnoteniu procesu populačného starnutia a ich aplikácia v prípade Slovenska a Európy (New approaches to assessing the population ageing process and their application for Slovakia and Europe – in Slovak). Geographical Journal, 70(4), 351–371. https://doi.org/10.31577/geogrcas.2018.70.4.19

Šprocha, B., Bleha, B., Garajová, A., Pilinská, V., Mészáros, J., & Vaňo, B. (2019). Populačný vývoj v krajoch a okresoch Slovenska od začiatku 21. storočia (Population development in the regions and districts of Slovakia since the beginning of the 21st century – in Slovak). Bratislava: INFOSTAT Demographic research centre.

Šprocha, B., & Ďurček, P. (2019). Starnutie populácie Slovenska v čase a priestore 1rd (Ageing of the population of Slovakia in time and space – in Slovak). ed. Bratislava: Institute for Forecasting.

Tavares, A.I. (2022). Life expectancy at 65, associated factors for women and men in Europe. European Journal of Ageing, 19(4), 1213-1227. https://doi.org/10.1007/s10433-022-00695-1

Tobler, W. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(2), 234–240.

United Nations Department of Economic and Social Affffairs, Population Division. (2022). World Population Prospects 2022: Summary of Results. UN DESA/POP/2022/TR/NO. 3. Available at: https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/wpp2022_summary_of_results.pdf

Vojteková, J., Vojtek, M., Tirpáková, A., & Vlkolinská, I. (2019). Spatial Analysis of Pottery Presence at the Former Pobedim Hillfort (an Archeological Site in Slovakia). Sustainability (Switzerland), 11(23), 6873. https://doi.org/10.3390/su11236873

Vaňo, B., Jurčová, D., & Mészáros, J. (2002). Prognóza vývoja obyvateľstva do roku 2050 (Forecast of population development until 2050). Bratislava: INFOSTAT Demogr. Research Centre.

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Published

2026-04-27

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1.
REPASKÁ, Gabriela and NÉMETHOVÁ, Jana. Assessment of population ageing using the statistical method of spatial autocorrelation: a case study of Nitra Region (Slovakia). Bulletin of Geography. Socio-economic Series. Online. 27 April 2026. No. 72, pp. 65-82. [Accessed 2 May 2026]. DOI 10.12775/bgss-2026-0016.
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