Socio-spatial stratification of housing tenure trajectories in Sweden - A longitudinal cohort study.

Individuals tend to be most mobile when they are between 20 and 40 years of age. This pattern is relatively stable across regions and over time. For geographical mobility, less is known about their transitions between different types of housing and tenure forms.

Neighbourhood Concentration and Representation of Non-European Migrants: New Results from Norway.

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 -nearest neighbours approach to compute comparable measures of segregation.

A Comparative Study of Segregation Patterns in Belgium, Denmark, the Netherlands and Sweden: Neighbourhood Concentration and Representation of Non-European Migrants.

In this paper, we use geo-coded, individual-level register data on four European countries to compute comparative measures of segregation that are independent of existing geographical sub-divisions. The focus is on non-European migrants, for whom aggregates of egocentric neighbourhoods (with different population counts) are used to assess small-scale, medium-scale, and large-scale segregation patterns. At the smallest scale level, corresponding to neighbourhoods with 200 persons, patterns of over- and under-representation are strikingly similar.

Residential Segregation of European and Non-European Migrants in Sweden: 1990-2012.

In this paper, we analyse how a migrant population that is both expanding and changing in composition has affected the composition of Swedish neighbourhoods at different scales. The analysis is based on Swedish geocoded individual-level register data for the years 1990, 1997, 2005, and 2012. This allows us to compute and analyse the demographic composition of neighbourhoods that range in size from encompassing the nearest 100 individuals to the nearest 409,600 individuals.

Multi-scalar residential context and recovery from illness: An analysis using Swedish register data.

The aim of this paper is to analyse if recovery from ill-health is influenced by geographical context using a multi-scalar approach to context measurement and Swedish longitudinal register-based data on sickness benefit recipiency as an indicator of onset of and recovery from illness. Our sample consists of individuals that have stayed healthy and in work for a three-year period (2000-2002) and then falls ill during the fourth year (2003), some of who recover to good health in the fifth year (2004). The results show that in areas with above-average percentages of people receiving sickness-benefit there is a reduced probability of recovery.