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The Swedish Kinship Universe - A demographic account of the number of children, parents, siblings, grandchildren, grandparents, aunts/uncles, nieces/nephews, and cousins using national population registers

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Abstract

We know surprisingly little about the demography of human kinship. In the current study, we give a demographic account of the kinship networks of individuals in 2018 in Sweden across sex and cohort. We used administrative register data of the entire Swedish population in order to provide the first kinship enumeration for a complete population based on empirical data. We created ego-focused kinship networks of children, parents, siblings, grandchildren, grandparents, aunts/uncles, nieces/nephews, and cousins. We show both the average number of kin of different types and the distribution of the number of kin as well as how dispersion has changed over time. We show trends for matrilineal and patrilineal kin and also show differences in the kinship structure arising from fertility with more than one childbearing partner, such as half siblings. The results demonstrate extensive variability as well as homogeneity in kinship structure. We discuss our findings in the context of other methods to estimate kinship.

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... Hence, cross-sectional counts are inadequate (e.g. Kolk, Andersson, Pettersson, & Drefahl, 2021;Malmberg & Pettersson, 2007). ...
... Finally, our data differ from that of most previous approaches for calculating kinship, such as survey data estimates, microsimulations, and analytical methods. In fact, large-scale empirical demographic studies of extended kin are rare (see Kolk et al., 2021 for a review). Here, register data have critical advantages as such data contain information on nearly all individuals that make up the kinship network. ...
... Earlier childbirth across generations produces kinship networks with more individuals alive at the same time, while later childbearing decreases generational overlap (Kolk et al., 2021;Murphy, 2011). Later childbirth thus means that fewer people from the older generation will be alive as individuals age. ...
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See : https://doi.org/10.1080/00324728.2023.2266403 Socioeconomic status influences demographic behavior. Moreover, socioeconomic status tends to correlate across generations. Consequently, kinship structures likely display social stratification. However, the processes of kinship stratification are intricate, and its prevalence and antecedents are rarely studied empirically. We have estimated socioeconomic differences in kinship in Sweden using administrative register data of the total Swedish population. We created kinship networks for the 1973 birth cohort and followed the growth and decline of kin from birth to age 45 of this birth cohort. We analyzed consanguineous kin, as well as spouses, reproductive partners, parents-in-law, and siblings-in-law. We calculated the difference in total kinship size across earnings and educational groups. We broke down the contributions of specific kin groups to this difference and also analyzed which demographic behaviors and generations contributed most to socioeconomic differences in kinship. Among men and women with low socioeconomic status (SES), higher fertility in earlier generations resulted in more kin than those with high SES. Among low SES men and siblings, lower fertility and union instability narrowed SES differences in the number of kin.
... A fairly large proportion of Swedes have siblingsaround 88% (Kolk et al. 2021). The average number of siblings born between 1940 and 2004 is around two, although the proportion of individuals with only one sibling increased starting in 1985 (Kolk et al. 2021). ...
... A fairly large proportion of Swedes have siblingsaround 88% (Kolk et al. 2021). The average number of siblings born between 1940 and 2004 is around two, although the proportion of individuals with only one sibling increased starting in 1985 (Kolk et al. 2021). Sweden is also a country known for a relatively weak tradition of intergenerational care and therefore has one of the lowest propensities of individuals living in close proximity to family (Hank 2007). ...
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Background: Research on older adults' geographic proximity to their family has focused almost exclusively on intergenerational distances, while factors associated with intragenerational proximity have received little attention. Objective: We explore associations between (1) having at least one sibling nearby and characteristics of older adults (aged 65‒84), and (2) proximity to siblings and characteristics of dyads of siblings. Methods: Drawing on Swedish population register data from 2016, we use multi-level logistic regression models to investigate individual-, dyad-, and family-level determinants of close proximity to siblings. Results: Based on information about 987,486 individuals nested within 475,644 family groups, nearly 35Š of Swedish older adults have their closest sibling living within 10 km.The likelihood of living close to at least one sibling is higher for those with a parent nearby, without partners and children, the less-educated, and living in urban areas and/or their counties of birth. This likelihood decreases with age. At the family level, having more than one sibling, same-gender siblings, and only full siblings are associated with living near a sibling. Based on information about 814,506 dyads, the propensity of close intragenerational distance is higher for those with a parent nearby, without partners or children, brothers, full siblings, the less-educated, and those living in counties of birth and urban areas. Contribution: This study contributes to the knowledge about the geography of siblings - the family members that might emerge as more active players in older adults' family networks.
... Moreover, when empirical data of kinship network is available (e.g. consanguineous kin by sex and birth cohort (Kolk et al. 2021) and affinal kin by socioeconomic status (Andersson and Kolk 2022) in Sweden), future studies could benefit from further comparing results from formal kinship model and from microsimulations with empirical kinship networks. For environmental stochasticity, random matrix methods (Tuljapurkar 2013) can be incorporated into the kinship model we use. ...
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