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Social inequalities experienced by children of immigrants across multiple domains of life: a case study of the Windrush in England and Wales
Stockholm University, Faculty of Social Sciences, Department of Sociology.ORCID iD: 0000-0002-8318-7952
Stockholm University, Faculty of Social Sciences, Department of Sociology.ORCID iD: 0000-0003-4274-617x
Number of Authors: 32022 (English)In: Comparative Migration Studies, ISSN 2214-8590, E-ISSN 2214-594X, Vol. 10, no 1, article id 18Article in journal (Refereed) Published
Abstract [en]

It is well known that children of immigrants experience inequality. Less is known about how inequalities compare across multiple life domains and multiple generations. We conduct a case study of England and Wales, focussing on children of Caribbean immigrants (the ‘Windrush generation’). We use large-scale census data to compare inequalities across five domains of life—education, employment, occupation, housing, and health—separately for women and men across three distinct generations: the one-point-five generation, second-generation, and two-point-five generation. The children of the Windrush generation experience social inequality in all life domains, relative to comparable groups of the White British population, although there is considerable variation according to sex and generation. Men of all generations are uniformly disadvantaged; children of the Windrush are more disadvantaged if they belong to the two-point-five generation. Inequality is pervasive, persistent, and strongly indicative of segmented adaptation.

Place, publisher, year, edition, pages
2022. Vol. 10, no 1, article id 18
Keywords [en]
Migration, Integration, Adaptation, Inequality, The descendants, children of immigrants, Gender
National Category
Sociology
Identifiers
URN: urn:nbn:se:su:diva-204753DOI: 10.1186/s40878-022-00293-1ISI: 000788029000001OAI: oai:DiVA.org:su-204753DiVA, id: diva2:1659648
Available from: 2022-05-20 Created: 2022-05-20 Last updated: 2022-05-20Bibliographically approved

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Wallace, MatthewWilson, Ben

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