Bricks without straw: Using linked census data to estimate child mortality in the pre-registration era of the United States

We describe a method to estimate child mortality using linked IPUMS full-count census data for the decades following the 1850, 1860, 1870, 1900, 1910, 1920, and 1930 censuses. We compare the estimates to several external sources and conclude that the method represents a viable way to estimate and model child mortality at individual and aggregate levels over the course of the mortality transition. We demonstrate an example use of the method by mapping county-level mortality estimates for the 1910–1920 period. Finally, with the help of model life tables, we construct complete life tables by race and decade at seven levels of geography—urban/rural, city, county, state economic area, state, census division and nation—and make these data available for public use.

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Publication Details

Journal
Historical Methods A Journal of Quantitative and Interdisciplinary History
Published
2025-10-02
DOI
https://doi.org/10.1080/01615440.2025.2562008
Primary Topic
Birth, Development, and Health
Type
article
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article

Bricks without straw: Using linked census data to estimate child mortality in the pre-registration era of the United States

J. David Hacker, Jonas Helgertz
Historical Methods A Journal of Quantitative and Interdisciplinary History
Birth, Development, and Health
article

Bricks without straw: Using linked census data to estimate child mortality in the pre-registration era of the United States

J. David Hacker, Jonas Helgertz
article en

Abstract

We describe a method to estimate child mortality using linked IPUMS full-count census data for the decades following the 1850, 1860, 1870, 1900, 1910, 1920, and 1930 censuses. We compare the estimates to several external sources and conclude that the method represents a viable way to estimate and model child mortality at individual and aggregate levels over the course of the mortality transition. We demonstrate an example use of the method by mapping county-level mortality estimates for the 1910–1920 period. Finally, with the help of model life tables, we construct complete life tables by race and decade at seven levels of geography—urban/rural, city, county, state economic area, state, census division and nation—and make these data available for public use.

Historical Methods A Journal of Quantitative and Interdisciplinary HistoryVol. 58(4)
University of Minnesota (US)
Openalex Percentile: Top 58%
Birth, Development, and Health
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