The aim of this study is to investigate in what ways the spatial context matters for the life course trajectory status in terms of vulnerability. In particular, it explores the impacts of spatial contexts aggregated from life course trajectories. It uses a longitudinal micro-dataset, 1990-2019 from Statistics Sweden, to analyze the relationship between geographical context constructed by aggregated life course trajectories, and individual life course trajectories. A latent class analysis (LCA) is employed to identify life courses and examines how these trajectories are influenced by individualized neighborhoods. The findings show that spatial context plays a significant role in shaping individuals' life course trajectories of vulnerability: (1) being in any sort of trajectory of vulnerability, (2) four transitional categories of vulnerability. Residing in a context of Families in distress was associated with higher odds of experiencing vulnerability. Other factors such as country of birth, gender, earlier vulnerability also impact life course trajectory status. This study contributes to answering the question if poor neighborhoods make their residents poorer, posed by J & uuml;rgen Friedrichs in the late 1990s. The study goes beyond merely measuring cross-sectional single variable residential segregation patterns as context, offering valuable insights into consequences, supporting planning for geographic equality of opportunity.
This article examines the meaning of local contexts in the formation of young adults’ life trajectories and horizons of opportunities in southern Stockholm. Our investigation draws on latent class analysis (LCA) of people aged 25–59 years, which reveals typical latent life courses among the individuals. The local setting mapped with typical life courses is interpreted as an indication of habitus, further examined in interviews with young adults 17 to 19 years old and about to finish upper secondary school who actively consider different life plans. By combining Bourdieu's and Wacquant's social theories with Massey's conceptualization of space and place, our analysis illuminates four spatial processes of habitus formation: (1) broader social structures, where southern Stockholm is polarized in accordance with affluence and vulnerability; (2) symbolic images and perceptions that make school locations attractive or invisible; (3) young adults’ meetings and non‐meetings‐up that take place within and in between school, home and leisure activities; and (4) the different ‘layers’ of local settings, where social networks are interlinked differently to national organizations and institutions and provide young people with different horizons of opportunity. The combination of theories facilitates a mixed‐methods approach that contributes to neighbourhood studies by uncovering multiple ways ‘place’ is embedded in the formation of trajectories.
Extensive problematic school absenteeism is a growing problem in Swedish schools. This means serious consequences both for the child and for society at large. This makes it essential to carry out a study where the voices of students and teachers are heard. This study identified and analyzed the risk and protective factors expressed by teachers and students regarding extensive problematic school absenteeism. The students are found within the autism spectrum, something that is common when it comes to students who are absent from school. The Semi-structured interviews were conducted and analyzed through reflexive thematic content analysis. The results showed that students' and teachers' perceptions were consistent and distinctive. Structure, learning environment, and relationships were the themes that emerged most clearly during the analysis.
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There are few reasons to believe that social segregation is restricted to the working age population. Still, attempts to analyse social segregation among old age individuals have been lacking. The purpose of this paper is, therefore, to explore the extent to which old age individuals who follow different sociodemographic trajectories are geographically segregated. We analyse residential segregation among older age adults, based on an identification of typical sociodemographic life courses in longitudinal, geo-coded, register data for three life phases: young old, 65-79 years, middle old, 75-89 years and, oldest old, 85-99 years. The results show great life-course heterogeneity in these age groups. In each life phase, we distinguish seven different trajectory types that also display distinct geographical patterns. The first group of trajectories is characterized by a high proportion of married individuals with high income concentrated in suburban, single-family housing areas. The second group consists of trajectories with many widows/widowers in small-scale, apartment areas. The third group consists of singleton trajectories in metropolitan areas. The fourth group is overrepresented in low-income areas and consists of trajectories including individuals of nonsurvival in the life phase. The fifth group is composed of trajectories with married or widowed low-income individuals in owner-occupied areas mainly found in rural areas. Thus, there is pronounced geographical variation in what type of neighbourhood life old age individuals live. This indicates that social segregation in the old age population deserves to be given more attention in geographical research.
It can be argued that a society is never better than how Individuals on its social and spatial fringes are faring. This motivates the purpose of this paper, which is to study how vulnerable groups can be identified, defined and explored in a spatial perspective using latent class analysis (LCA) on the whole Swedish population. We use space to refine meanings of vulnerability in individuals and groups, by contextualizing their vulnerability. This knowledge is fundamental for creating equal living conditions and for promoting the social cohesion needed for socially sustainable societies. Thus, equality and spatial integration are basic ideas in welfare policy but in recent years, the idea of integration has met various challenges with new population groups, rural–urban polarization, and disadvantaged housing areas. Using register data, we here identified life course trajectories associated with vulnerability, applying LCA to the total Swedish population aged 25 to 59 years. We identified latent classes of life courses, and detected and explored some classes with more vulnerability than others. The spatial patterns of vulnerable individuals were analysed using individualized neighbourhoods including the proportion of closest neighbours belonging to a latent class. A second LCA of vulnerable individuals refined the findings into different types of distress; extra distressed life courses were found in the metropolitan areas in Million program areas in urban outskirts, and other distressed life courses were more often found in unattractive (low housing price) rural areas, rural fringes.
This article explores typical life-course trajectories based on annual observations of educational participation, employment, and establishing a family from age sixteen to age thirty. Using latent class analysis, we identify seven different trajectory classes that capture the different life courses experienced by individuals born in 1986. Examples of trajectory classes are (1) an early partner and childbearing trajectory; (2) a trajectory that mixes employment and a long postsecondary education into the later twenties; and (3) a trajectory involving low activity, very little employment, very little postsecondary education, and not starting a family. The classes identified correspond closely to trajectories found in earlier qualitative studies using life-history interviews, but in contrast to these studies that each encompass a few dozen individuals or less, our approach identifies trajectories for the individuals of an entire birth cohort. This allows for analysis of the geographical distribution of trajectories across regions, municipality types, and neighborhoods. Individuals following long postsecondary education trajectories were heavily concentrated in metropolitan areas and university towns. At the same age, individuals following early childbearing trajectories were concentrated instead in peripheral, rural areas. Individuals from nonmetropolitan areas also tend to follow more gender-polarized trajectories. Moreover, we find that there is more trajectory-based segregation at age thirty than at age fifteen. Theoretically, our study gives support to the idea that places are structured on the basis of life-course trajectories. Local context influences how individuals are linked into different trajectories and, at the same time, the spatial sorting of trajectories will shape local contexts.
In this paper we analyse spatial and temporal variation in the risk of intensive care unit (ICU) admission for COVID-19 in Sweden. The analysis is based on geocoded and time-stamped data from the Swedish Intensive Care Registry (SIR). We merge this data with a classification of Swedish neighbourhood cluster types constructed from multi-scalar measures of socio-economic and country of birth segregation (Kawalerowicz and Malmberg in Multiscalar typology of residential areas in Sweden, 2021 available from https://doi.org/10.17045/sthlmuni.14753826.v1 ). We examine 1) if residence in more socio-economically deprived or diverse neighbourhood cluster types was associated with a higher risk of ICU admission for COVID-19, 2) if residence in more affluent neighbourhoods was associated with a lower risk of ICU admission for COVID-19, and 3) how these patterns changed over time during the three first waves of the pandemic. While the highest overall risk was associated with residence in urban disadvantage coupled with diversity, models where neighbourhood cluster types were interacted with waves reveal that the highest risk was associated with living in a neighbourhood cluster type characterised by rural town disadvantage coupled with diversity under the 3rd wave (February 2021–June 2021). Residence in such a neighbourhood cluster type was associated with a four times higher risk of ICU admission, compared to the reference category of living in a homogeneous rural neighbourhood cluster type with average levels of deprivation under wave 1. Looking at disparities within each wave we found that residence in most affluent urban areas was at first associated with a slightly higher risk of ICU admission for COVID-19 as compared with the reference category of living in a homogeneous rural neighbourhood cluster type, but under waves 2 and 3 this risk was no longer statistically significant. The largest inequalities between different neighbourhood cluster types could be seen during the 1st wave. Over time, the risks converged between different neighbourhood cluster types.
Studies of neighbourhood effects typically measure the neighbourhood context at one specific spatial scale. It is increasingly acknowledged, however, that the mechanisms through which the residential context affects individual outcomes may operate at different spatial scales, ranging from the very immediate environment to the metropolitan region. We take a multi-scale approach to investigate the extent to which concentrated poverty in adolescence is related to obtained education level and income later in life, by measuring the residential context as bespoke neighbourhoods at five geographical scales that range from areas encompassing the 200 nearest neighbours to areas that include the 200k+ nearest neighbours. We use individual-level geocoded longitudinal register data from Sweden and the Netherlands to follow 15/16-year-olds until they are 30 years old. The findings show that the contextual effects on education are very similar in both countries. Living in a poor area as a teenager is related to a lower obtained educational level when people are in their late 20s. This relationship, however, is stronger for lower spatial scales. We also find effects of contextual poverty on income in both countries. Overall, this effect is stronger in the Netherlands than in Sweden. Partly, this is related to differences in spatial structure. If only individuals in densely populated areas in Sweden are considered, effects on income are similar across the two countries and income effects are more stable across spatial scales. Overall, we find important evidence that the scalar properties of neighbourhood effects differ across life-course outcomes.
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. In Sweden, households may select between, principally, three different types of tenure forms, each often coupled with a specific housing type. Households may rent from either public companies (municipality owned) or private landlords in multifamily dwellings, households may own their single-family house privately, or they can cooperatively own a multifamily house as a tenant-owner in an apartment. Yet we lack knowledge of which tenure trajectories individuals tend to follow during their most mobile years, and we also lack knowledge about which factors determine tenure trajectories. Our sample consist of individuals who in 1995 were aged 18-25 and who left their parental house between 1994 and 1995. This study tracks their tenure trajectories for 21 consecutive years starting in 1995 until 2015. The cohorts in our sample were the first who encountered the conditions on the deregulated housing market that are still in place in Sweden today. We followed these cohorts until they were between 39 and 46 years old and used sequence analysis to classify tenure trajectories. One result that stands out is the outstanding and increasing emphasis on home ownership in our sample, quite unlike the traditional picture of the Swedish housing market. Additionally, we found that resources in a broad sense and spatial context have a great impact on the type of trajectory individuals follow.
Abstract We examine the ‘overlap’ or to which degree tenure form patterns are similar to socio-economic segregation patterns. The issue has been discussed concerning mixing policies; does mixing of tenure hinder socio-economic segregation? If mixing tenure is to be an effective policy against segregation, the overlap has to be understood. Using Swedish register data, we cross tenure-type landscapes with patterns of high/mixed/low-income and with European/non-European/Swedish-born. To what degree is there overlap among tenure, income and country of birth? Is the overlap related to geographical scale and polarization? Is the overlap of tenure forms with socio-economic characteristics consistent across regions? We find strong overlap of large-scale cooperative tenure landscapes with very high incomes as well as with Swedish-born. Small-scale tenure-landscapes provide mixing opportunities for incomes wherever they are located; however, these landscapes have a small non-Swedish-born population nearby. Some tenure-type landscapes vary in characteristics depending on location; e.g. public rental concentrated areas are high-income in urban cores but low-income in urban peripheries.
This paper finds convincing evidence of upward progress out of poor Swedish neighbourhoods for individuals with a Swedish background, individuals with a European background, and those with a non-European background. We use the 1986 cohort of the Swedish population and follow them from age 15 when they are living at home to age 30. We find that by age 30, they live in a neighbourhood that in terms of the poverty level is relatively distant from the initial neighbourhood where they grew up. Mobility into less poor neighbourhoods is clearly linked to higher income, but interestingly, initial context is even more important. Mobility to less poor neighbourhoods is found for those starting in high-poverty neighbourhoods and vice versa for those starting in low-poverty neighbourhoods. Moreover, large-scale context and regional context strongly influence neighbourhood mobility along the poverty gradient. The analysis shows that a large proportion of individuals with a non-European background improve their neighbourhood status from where they were living as teenagers, to where they live after leaving home. Individuals who stay in the poorest neighbourhoods come from less favourable backgrounds, from large-scale poverty contexts, have low school grades, tend to have children early, and have low incomes and lower educational attainment. Individuals with a non-European background are overrepresented in this group. Thus, despite the overall gains in neighbourhood quality, the process of spatial sorting still contributes to an increased spatial concentration of vulnerable populations.
Against the background of a liberalization of Swedish compulsory education, this paper analyses post-1991 shifts in the way compulsory education performance in Sweden has been shaped by parental background, residential context and school context. We can document increasing school and residential segregation of foreign background students and, after 2008, increasing segregation by income, employment status and social allowance reception. Over time, educational performance has become increasingly linked to family, neighbourhood and school context. The greatest change has been for parental background, but the importance of school context and neighbourhood context has also increased. A noteworthy finding is that residential context consistently has a stronger effect on student performance than school context. Student grades were found to be most strongly influenced by the closest (12 or 25) residential peers of the school leavers as compared to larger peer groups. The increase in the influence of family, neighbourhood and residential context has been accompanied by a dramatic increase in the between-school variation (intra-class correlation) in student performance, but it was not until after 2005 that this increased variability became clearly linked to the social composition of the schools. This study’s results suggest that the restructuring of Swedish compulsory education has had consequences for equality, possibly because disadvantaged social groups have not been as able as advantaged groups to navigate and benefit from the educational landscape created by the school reforms.
The aim of the article is to use survey evidence of school choice and educational attitudes in Sweden to explore how spatial polarization and liberal school reforms have affected the way parents, pupils, and school management think about education. The authors identify a possible polarization of attitudes in Sweden towards the importance of education in general and schools in particular, against the background of a highly liberalized school market, including school choice and rural-urban regional differences in the population's education level. The basis for the analysis is TIMSS 2015 data for pupils in Grade 4 (age group 10-11 years). The results showed that localization of the school was a very important factor in school choice and that localization was more important than parental education and social class. Additionally, the authors tested the association between maths results and the variables attitudes, location, school, and household, and found that a household with a lower proportion of tertiary-educated parents in less central locations could make it difficult for pupils to perform well in mathematics. The authors conclude that in Sweden neoliberalization has been a geographically uneven process with a concentration in the metropolitan areas.
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.
Discussions of tenure mix have received renewed interest as many have suggested that neo-liberalization has made way for gentrification of neighbourhoods and increasing segregation. Yet, few scholars have studied country-wide changes in tenure mix, due to the lack of data and appropriate methods. In this article, we propose to use tenure type landscapes to analyse changes in housing policy. We do so while acknowledging the evolution of housing policies in Sweden since 1990. Using individualized and multi-scalar tenure type landscapes to measure change in neighbourhoods, we analyse housing clusters in 1990 and 2012. We show that the tenure landscape in 1990 at the height of the welfare state was fairly diverse and mixed. During the next 22 years, however, the landscape changed to become more homogenized and dominated by ownership through tenure conversions and new housing. We argue that awareness of these changes is essential to understanding present and future segregation and gentrification processes.
Utvardering av Laslyftet : Delrapport 12: Uppfoljning av Laslyftets kvarstaende effekter i gymnasieskolan ett och ett halvt ar efter deltagande
This paper investigates effects of neighbourhood context on first birth timing in Sweden. Analyses are on the basis of Swedish population registers and innovative methods for the construction of individualised neighbourhoods of varying sizes and a traditional measure using defined areas. The 1980 Swedish birth cohort is followed from age 13 to 36, with neighbourhood characteristics observed at age 15 to define the contexts in which the young adults were socialised and first exposed to socioeconomic opportunities for higher education and early adult careers. Young adults who lived in elite (education and income) neighbourhoods or neighbourhoods with a high proportion of foreign born were slower to have their first child in comparison with those who lived in a less socioeconomically advantaged neighbourhoods. Neighbourhoods with high levels of social assistance, as well as those with a high proportion of single-family housing had earlier births. Although the preponderance of the first evidence is consistent with a pathway from neighbourhoods to individual attainments and delayed childbearing, the availability of affordable family-friendly housing appears to provide opportunities for earlier transitions to parenthood.
In this paper, we propose a new method for assessing the extent to which schools are successful in mixing students from different backgrounds. It is based on a comparison of variation in the composition of the student population in small-scale residential neighbourhoods with variation in the composition of the student population at local schools. From this we compute a measure that corresponds to the number of small scale neighbourhood that needs to be sampled in order to arrive at the observed mixing of students in schools. Using this measure we can show that in a large majority of Swedish municipalities, schools are successful in mixing students from different types of neighbourhoods, but in 25% of the municipalities mixing is not so good. Three fundamental determinants of mixing are large-scale residential segregation, average school size, and number of students in the municipality. These factors are strong determinants of mixing and when they are included, other contextual factors provide very little additional explanation of why mixing varies among municipalities. With the fundamental determinants excluded the contextual factors have an effect. For example, tertiary education, many migrants, and high proportions of independent schools tend to lower the level of mixing.
ABSTRACT Earlier research on residential mobility has demonstrated a tendency for the young old of the 55+ population to prefer peripheral locations, whereas older age groups choose central locations. Here, we present survey results indicating that such late-adulthood differences in preferences are supported by age-related shifts corresponding to differences in housing preferences expressed by individuals in peripheral as well as central locations in Sweden. A sample of 2,400 individuals aged 55 years and over was asked to select the seven most important characteristics of a dwelling from a list of 21 alternatives (Survey of Housing Intentions among the ELDerly in Sweden (SHIELD), 2013). The preferences expressed were used as dependent variables in logistic regressions to determine to what extent the housing preferences of older people are linked to age, gender, socio-economic status and type of geographical area. The results demonstrated a close link between neighbourhood characteristics and housing preferences. Owning the dwelling, having a garden and access to nature were stressed as important by individuals living in non-metropolitan middle-class areas and in suburban elite areas. The youngest cohort expressed similar preferences. Older age groups instead stressed the importance of an elevator, single-storey housing and a good design for independent living; preferences that have similarities to those expressed by individuals living in large cities and smaller urban centres where such housing is more readily available.