ArticleScientific data2023
CenSoc: Public Linked Administrative Mortality Records for Individual-level Research.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Early life healthcare access and later-life mortality: Evidence using openings of county health departments.Economics and human biology · 2026Article
- Structured Inequality, Uncertain Lifespans: Demographic Perspectives on Predicting Individual-Level Longevity.Population and development review · 2026Article
- Augmenting fact and date of death in electronic health records using internet media sources: a validation study from two large healthcare systems.American journal of epidemiology · 2026Article
- Article
- The effects of parental education on male mortality: evidence from the first wave of compulsory schooling laws.Journal of population economics · 2025Article
- The Longevity Benefits of Homeownership: Evidence From Early Twentieth-Century U.S. Male Birth Cohorts.Demography · 2024Article
- CenSoc: Public Linked Administrative Mortality Records for Individual-level Research.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In the United States, much has been learned about the determinants of longevity from survey data and aggregated tabulations. However, the lack of large-scale, individual-level administrative mortality records has proven to be a barrier to further progress. We introduce the CenSoc datasets, which link the complete-count 1940 U.S. Census to Social Security mortality records. These datasets-CenSoc-DMF (N = 4.7 million) and CenSoc-Numident (N = 7.0 million)-primarily cover deaths among individuals aged 65 and older. The size and richness of CenSoc allows investigators to make new discoveries into geographic, racial, and class-based disparities in old-age mortality in the United States. This article gives an overview of the technical steps taken to construct these datasets, validates them using external aggregate mortality data, and discusses best practices for working with these datasets. The CenSoc datasets are publicly available, enabling new avenues of research into the determinants of mortality disparities in the United States.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.