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Publications, working papers, and other research using data resources from IPUMS.

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Title: Historical Context and Creation of the IPUMS Ancestry Full Count U.S. Population Census Data 1900-1930

Citation Type: Working Paper

Publication Year: 2024

DOI: 10.18128/IPUMS2024-04

Abstract: IPUMS recently released final versions of full count census data for the United States 1900-1930. The information contained in these files is the product of three broad work stages: historical census enumeration, digitization, and IPUMS processing. The data were produced within an evolving institutional context and subjected to subsequent processes that had important ramifications on the final product. This paper documents these histories and processes and their implications for research. Because of the datasets' sheer size and scale, the development of these files necessitated applying different methods and approaches to assess data quality and correct the data. We document cases where data quality was affected not only by choices made by the Census historically, but also by data transcription errors in the modern day. Finally, we describe our approaches to processing the data, and we note some of the implications for research these various decisions have. As with any dataset, researchers should use this resource critically for their particular research questions and consider the data creation process from respondent to digital dataset. Despite some limitations and liabilities, the IPUMS full count data provide a powerful and valuable resource to study demographic effects on a variety of health and socioeconomic questions.

Url: https://assets.ipums.org/_files/ipums/working_papers/ipums_wp_2024-04.pdf

User Submitted?: No

Authors: Nelson, Matt A; Magnuson, Diana L; Ruggles, Steven; Sobek, Matthew; Huynh, Lap

Series Title: IPUMS Working Papers

Publication Number: 2024-04

Institution: University of Minnesota

Pages: 1-40

Publisher Location:

Data Collections: IPUMS USA - Ancestry Full Count Data

Topics: Methodology and Data Collection, Population Data Science

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop