Abstract

We examined family isolation, economic hardship, and long-distance migration as potential patterns of an extreme outcome of a lonely death: bodily remains that remain unclaimed and are left to the state. This paper combines a unique dataset—Los Angeles County's records of unclaimed deaths—with the Vital Statistics' Mortality data and the Annual Social and Economic Survey (ASEC) to examine 1) whose remains are more likely to become unclaimed after death and, 2) whether population-level differences and trends in family isolation, economic hardship, and long-distance migration explain the differences in the rates of unclaimed deaths. We employ multivariate Poisson models to estimate relative rates of unclaimed deaths by social and demographic characteristics. We find that increases in never married, divorced/separated, and living without family were positively associated with rates of unclaimed deaths. Unemployment among men and poverty among women was associated with higher unclaimed deaths. Long-distance migration was not associated with more unclaimed bodies.

Highlights

  • Social relationships, kin networks, significantly predict morbidity and mortality [1]

  • Rates of unclaimed deaths in Los Angeles County were less than 1.2 percent in the 1970s

  • Our analyses revealed significant associations between family isolation, economic hardship, and rates of unclaimed bodies

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Summary

Introduction

Kin networks, significantly predict morbidity and mortality [1]. We used the Los Angeles County Office of Decedent Affairs (LACODA) ’s unclaimed records with the Vital Statistics mortality data as the denominator to create an analytical dataset containing rates of unclaimed deaths by age, race, sex, and year.

Results
Conclusion
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