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Religiosity and spatial demographic differences in the Netherlands

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  • Sobotka, Tomás
  • Adigüzel, Feray

    (Groningen University)

Abstract

This paper investigates whether current differences in religiosity between the Dutch regions are also manifested in spatial demographic patterns. We use cluster analysis to distinguish relatively homogeneous clusters of regions, specified by religious affiliation and the frequency of churchgoing among their populations. Although the regional demographic differences are relatively modest in the Netherlands, between-clusters contrasts are consistent with the expected influence of religiosity. The cluster including the most conservative region, the so-called Bible Belt, also displays the most traditional demographic patterns. In order to differentiate the impact of religiosity from the social and economic factors, we perform stepwise regression of selected indicators of fertility, union formation and living arrangements. The frequency of churchgoing rather than the fact of belonging to a certain denomination manifested the strongest impact on the regional demographic contrasts. In case of fertility of parity four and higher, marriage rate and the proportion of young women cohabiting, churchgoing turned out to be the most important predictor of regional differentiation.

Suggested Citation

  • Sobotka, Tomás & Adigüzel, Feray, 2002. "Religiosity and spatial demographic differences in the Netherlands," Research Report 02F65, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    • Handle: RePEc:gro:rugsom:02f65
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    File URL: http://irs.ub.rug.nl/ppn/248216732
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    Cited by:

    1. Joop Beer & Ingeborg Deerenberg, 2007. "An Explanatory Model for Projecting Regional Fertility Differences in the Netherlands," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 511-528, December.
    2. Branislav Šprocha & Branislav Bleha & Gabriela Nováková, 2022. "Three Decades of Post‐Communist Fertility Transition in a Subnational Context: The Case of Slovakia," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 113(4), pages 397-411, September.
    3. Barbara Fulda, 2015. "Culture’s Influence: Regionally Differing Social Milieus and Variations in Fertility Rates," Working Papers id:6998, eSocialSciences.
    4. Jeroen Spijker & Frans van Poppel & Leo van Wissen, 2007. "Explaining new trends in the gender gap of mortality: Insights from a regional trend- analysis of the Netherlands," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 5(1), pages 61-92.
    5. Lajos L. Brons, 2006. "Indirect Measurement Of Regional Culture In The Netherlands," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 97(5), pages 547-566, December.
    6. Jan Kabátek & David C. Ribar, 2018. "Not your lucky day: romantically and numerically special wedding date divorce risks," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(4), pages 1067-1095, October.
    7. Fulda, Barbara, 2015. "Culture's influence regionally differing social milieus and variations in fertility rates," MPIfG Discussion Paper 15/4, Max Planck Institute for the Study of Societies.

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