The purpose of this study is to compare socioeconomic segregation patterns and levels in Brussels, Copenhagen, Amsterdam, Oslo, and Stockholm with uniform measurements. Socioeconomic segregation is a persistent reality in European cities that may have negative effects on social cohesion and individual outcomes. Previous research has been hampered by conceptual and methodological shortcomings, preventing comparable studies of segregation. We use harmonized datasets from 2011 containing geocoded indicators based on a nearest-neighbors approach, allowing for comparable measures of socio-economic segregation at multiple scales. Our analyses offer an unprecedented comparison of patterns and levels of socio-spatial inequalities in European capitals. Using maps, segregation indices and percentile plots, we find that for all cities, the level of segregation by affluence is much larger than that of poverty. Macro-scale poverty segregation is most prominent in Stockholm and Brussels, and quite low in Amsterdam. At microscales, Brussels and Stockholm stand out with very high concentrations of poverty at the local level. In such poor neighborhoods, there are hardly any non-poor, indicating high levels of polarization. Macro-scale segregation by affluence is most pronounced in Oslo. Differences in levels and patterns are interpreted in the light of their particular welfare regimes, housing systems, area-based policies and migration dynamics.

Compared to the majority population, studies have shown that non-western immigrants are more likely to work in jobs for which they are overqualified. These findings are based on coarse measures of jobs, and an important question is how sensitive these findings are to the definition of jobs. By using detailed information from Norwegian register data 2014, we provide a methodological innovation in comparing individuals working in the same occupation, industry, sector, firm, and municipality. In this way, we measure the degree of overqualification among workers within more than 653,000 jobs. We differentiate between immigrants and their descendants originating from Western Europe, the New EU countries, other Western countries, the Middle East and North Africa (MENA), Africa and Asia (except MENA countries), and South and Central America, and compare their outcomes with the majority population holding the same jobs. We find that immigrants from all country of origin groups are more likely to be overqualified compared to the majority population and to descendants of immigrants. However, the prevalence of overqualification decreases with time since immigration.

In a previous study, Andersson et al. (A comparative study of segregation patterns in Belgium, Denmark, the Netherlands and Sweden: neighbourhood concentration and representation of non-European migrants. Eur J Popul 34:1-25, 2018) compared the patterns of residential segregation between non-European immigrants and the rest of the population in four European countries, using the k-nearest neighbours approach to compute comparable measures of segregation. This approach relies on detailed geo-coded data and can be used to assess segregation levels at different neighbourhood scales. This paper updates these findings with results from Norway. Using similar data and methods, we document both similarities and striking differences between the segregation patterns in Norway and Belgium, Denmark, the Netherlands and Sweden. While the segregation patterns in Norway at larger scales are roughly comparable to those found in Denmark, but with higher concentrations of non-European immigrants in the most immigrant-dense large-scale neighbourhoods, the micro-level segregation is much lower in Norway than in the other countries. While an important finding by Andersson et al. (2018) was that segregation levels at the micro-scale of 200 nearest neighbours fell within a narrow band, with a dissimilarity index between 0.475 and 0.512 in the four countries under study, segregation levels at this scale are clearly lower in Norway, with a dissimilarity index of 0.429. We discuss possible explanations for these patterns.

In this article, we study how the local concentration of ethnic minorities relates to the likelihood of out-migration by natives in Copenhagen, the capital of Denmark. In US studies, a high or increasing proportion of racial or ethnic minorities in inner-city neighborhoods is seen as an important motivation for White middle-class families’ out-migration to racially and ethnically homogeneous suburbs. The relatively egalitarian Scandinavian setting offers a contrasting case, where inner cities are less deprived and where minority groups primarily consist of immigrants and the children of immigrants who have arrived over the past few decades. We use population-wide, longitudinal administrative data covering a 12-year period, and measures of individualized neighborhoods based on exact coordinates for place of residence, to examine whether out-migration is associated with minority concentrations in the Copenhagen area. Our results largely support the presence of a native out-migration mobility pattern, in contrast to much existing literature. We also show that responses to increasing minority concentrations vary across the life course and between natives and children of immigrants.

Ethnic or racial segregation in schools and neighborhoods remains a persistent reality in most major cities in Western countries. Although extensively theorized, determining the exact mechanisms that produce such patterns has proven difficult. In this article, we investigate one of the potential causes of ethnic segregation in schools; native flight motivated by parents’ school preferences. Both observational and experimental evidence suggests that native or White parents have a strong preference for racially or ethnically homogeneous schools. If this is the case, this may strongly contribute to school segregation. In contexts where school enrollment is determined primarily by geographic proximity to schools, such preferences may prompt White or native parents to move away from schools with high racial or ethnic minority shares among students, thus contributing to both residential and school segregation. Drawing on extremely detailed, population-wide, geo-coded register data on families and school catchment areas for elementary schools in Oslo, the capital of Norway, we investigate whether native parents move away from schools with higher shares students with non-Western immigrant backgrounds. We employ a Geographic Regression Discontinuity (GRD) design by exploiting the fact that within neighborhoods, the characteristics of schools differ discontinuously along school catchment area borders. The results indicate that native origin families systematically move away from schools with high shares of students with non-Western immigrant backgrounds. This process likely contributes to both school segregation and residential segregation.