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European Journal of Population

, Volume 34, Issue 2, pp 225–250 | Cite as

Ethnic and Socioeconomic Segregation in Belgium: A Multiscalar Approach Using Individualised Neighbourhoods

  • Rafael Costa
  • Helga A. G. de Valk
Article

Abstract

Segregation may have profound effects when it is paired with an accumulation of inequalities. This is namely the case when ethnic and socioeconomic segregation overlap. Few studies in Europe have, however, addressed the relationship between ethnic and socioeconomic segregation in a comprehensive manner. This paper first aims at investigating the interrelation between ethnic and socioeconomic segregation in Belgium. Second it looks into the role of scale in the relationship between ethnic and socioeconomic segregation. The analyses are based on the newly available geocoded data from the 2011 Belgian census. These data were used to construct individualised neighbourhoods at nine scales with a nearest-neighbours approach for the urban agglomerations of Brussels, Antwerp, and Liege. Ethnic and socioeconomic indicators calculated for these individualised neighbourhoods were then inputted in independent factor analyses for each agglomeration. The results reveal remarkably similar segregation patterns in the three cities. Our analyses give way for three main conclusions: there is an undeniable process of spatial isolation of deprived migrants in Belgium’s inner cities; despite the central location of neighbourhoods with high concentration of migrants and poverty, the scope of isolation is considerably high, both in extension and in population density; and macro/national factors such as housing policies and territorial processes seem to shape the segregation patterns in Belgian cities.

Keywords

Individualised neighbourhoods Belgium Residential segregation Census Scale 

Notes

Acknowledgements

This work was part of and supported by the JPI Urban Europe ResSegr project “Residential segregation in five European countries– a comparative study using individualized scalable neighbourhoods”; Fonds Wetenschappelijk Onderzoek [FWOTM670]; JPI Urban Europe [ResSegr]. The use of geocoded data in our work was made possible by the valuable collaboration with Statistics Belgium. We are grateful for the encouraging comments of the two anonymous reviewers.

Supplementary material

10680_2018_9480_MOESM1_ESM.docx (113.3 mb)
Supplementary material 1 (DOCX 116003 kb)

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of SociologyVrije Universiteit BrusselBrusselsBelgium
  2. 2.Netherlands Interdisciplinary Demographic Institute (NIDI)/KNAW/University of GroningenThe HagueThe Netherlands

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