Evidence map›Paper›PMID 40880940›Full record

ArticleHistorical methods2025

IPUMS Full count Datasets of the United States Censuses of Mortality, 1850-1880.

J David Hacker, Lap Huynh, Susan H Leonard, Matt A Nelson, Evan Roberts, Matthew Sobek

Abstract read
In one paragraph

Article in Historical methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

J David HackerUniversity of Minnesota, Department of History and Minnesota Population Center.ORCID 0000-0002-5971-955X
Lap HuynhUniversity of Minnesota, Institute for Social Research and Data Innovation.
Susan H LeonardUniversity of Michigan, Inter-University Consortium for Political and Social Research.ORCID 0000-0003-2732-1341
Matt A NelsonUniversity of Minnesota, Institute for Social Research and Data Innovation.ORCID 0000-0002-8849-4628
Evan RobertsUniversity of Minnesota, Program in the History of Medicine.ORCID 0000-0001-5621-4823
Matthew SobekUniversity of Minnesota, Institute for Social Research and Data Innovation.

Funding

Prospective Microdata for Research on AgingR01AG075334 · NIA · UNIVERSITY OF MINNESOTA · PI CATHERINE A FITCH, Steve Ruggles · 2022 to 2026
$4.8M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
Baseline Microdata for Analysis of U.S. Demographic ChangeR01HD060676 · NICHD · UNIVERSITY OF MINNESOTA · PI ROBERTS, EVAN W · 2009 to 2013
$3.5M
Models of Demographic and Health Changes following Military ConflictR01HD082120 · NICHD · UNIVERSITY OF MINNESOTA · PI HACKER, J. DAVID · 2015 to 2019
$2.9M
NIA NIH HHS R01 AG075334NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD060676NICHD NIH HHS R01 HD082120
6 · The paper itself

Abstract

This article describes four new IPUMS datasets constructed from the 1850, 1860, 1870, and 1880 Censuses of Mortality of the United States. We discuss the creation of the datasets, the variables included in each census year, and their potential for social science research. We highlight several limitations in the data and caution users about potential biases. Finally, we illustrate the usefulness of the new data by analyzing the relationship between household wealth and child mortality in 1870. All four datasets and associated documentation are distributed for public use via the IPUMS website.

Indexed as

censusIPUMSmortalityUnited States

Identifiers

PMID40880940
PMCPMC12373130

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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.