Evidence map›Paper›PMID 41268124›Full record

ArticleHistorical methods2025

New Data Sources for Research on the Nineteenth-Century United States: IPUMS Full Count Datasets of the Censuses of Population 1850-1880.

Matt A Nelson, Diana L Magnuson, J David Hacker, Matthew Sobek, Lap Huynh, Evan Roberts, Steven Ruggles

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

7 authors.

Matt A NelsonUniversity of Minnesota.ORCID 0000-0002-8849-4628
Diana L MagnusonUniversity of Minnesota.ORCID 0000-0002-8729-5109
J David HackerUniversity of Minnesota.ORCID 0000-0002-5971-955X
Matthew SobekUniversity of Minnesota.
Lap HuynhUniversity of Minnesota.
Evan RobertsUniversity of Minnesota.ORCID 0000-0001-5621-4823
Steven RugglesUniversity of Minnesota.ORCID 0000-0001-5353-2578

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
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 HD082120
6 · The paper itself

Abstract

IPUMS has finalized databases for each of the United States population censuses from 1850 to 1880. These data are the result of collaborations between FamilySearch and Ancestry.com, which provided the raw data, and IPUMS, which enhanced the data with editing, standardized coding, inter-census harmonization, and documentation. We discuss the data capture process conducted by the nineteenth-century United States Census Office, construction of the modern datasets, and variable availability. We conclude by briefly discussing the potential and limitations of these data for social science research. The public data are distributed by IPUMS and available for researchers to use free of charge.

Indexed as

censushistorical demographymicrodatapopulation

Identifiers

PMID41268124
PMCPMC12629631

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.