Residential Segregation in the Amsterdam Metropolitan Region: A Longitudinal Analysis Using Scalable Individualised Neighbourhoods

Abstract

This paper studies residential segregation in the Amsterdam Metropolitan Area and makes three contributions to the recent debates on segregation. First, both ethnic and socio‐economic segregation are studied by comparing isolation index scores for both individual indicators and their interactions. Second, neighbourhoods are defined as scalable individualised units, which allows for comparisons across spatial scales. Third, the paper adopts a longitudinal approach by covering three different time points, which enables us to get a grip on segregation trends. The results indicate that there are notable differences in segregation levels and trends between the applied segregation indicators. Ethnic segregation remained largely stable over the 2003–14 period, whereas the indicators of socio‐economic segregation have slightly changed, but all in different directions. Only for tertiary education segregation has increased over the entire period. The Dutch welfare system, the well‐dispersed and socially‐mixed social housing sector and gentrification help to explain these developments.

Socioeconomic differences in tobacco outlet presence, density, and proximity in four cities in the Netherlands

“…Contrary to medium-sized cities, we found positive associations in Amsterdam between neighbourhood-SES and tobacco outlet presence, density, and proximity. Residential segregation patterns may explain the particular situation of Amsterdam [ 36 , 37 ]. Property values are much higher in the city centre and its surrounding than in suburbs [ 38 ].…”

Exploring the Settlement Models of the Main Foreign Communities Residing in Italy (2003–2021)

“…The available data are taken from administrative sources (municipality registers) and show municipal details but not sub-municipal-level details. For this reason, they are very useful for spatial analyses, but they are not suitable for conducting sociological analyses focused on social segregation and marginalisation (Wacquant 2008;Liebig and Spielvogel 2021;Sleutjes et al 2019). At the same time, administrative data, naturally, do not take into account the social networks and relationships of immigrants (Sleutjes et al 2019).…”

“…For this reason, they are very useful for spatial analyses, but they are not suitable for conducting sociological analyses focused on social segregation and marginalisation (Wacquant 2008;Liebig and Spielvogel 2021;Sleutjes et al 2019). At the same time, administrative data, naturally, do not take into account the social networks and relationships of immigrants (Sleutjes et al 2019). Compared with survey data, administrative data have the advantage of covering the entire national territory and allow for a comparison over time.…”