Full Citation
Title: Census Place Project: A Method for Geolocating Unstructured Place Names
Citation Type: Miscellaneous
Publication Year: 2022
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Abstract: Researchers use microdata to study the economic development of the United States and the causal eeects of historical policies. Much of this research focuses on county-and state-level paaerns and policies because comprehensive sub-county data is not consistently available. We describe a new method that geocodes and standardizes the towns and cities of residence for individuals and households in decennial census microdata from 1790-1940. We release public crosswalks linking individuals and households to consistently-deened place names, longitude-latitude pairs, counties, and states. Our method dramatically increases the number of individuals and households assigned to a sub-county location relative to standard publicly available data: we geocode an average of 83% of the individuals and households in 1790-1940 census microdata, compared to 23% in widely-used crosswalks. In years with individual-level microdata (1850-1940), our average match rate is 94% relative to 33% in widely-used crosswalks. To illustrate the value of our crosswalks, we measure place-level population growth across the United States between 1870 and 1940 at a sub-county level, confirming predictions of Zipf's Law and Gibrat's Law for large cities but rejecting similar predictions for small towns. We describe how our approach can be used to accurately geocode other historical datasets.
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Authors: Berkes, Enrico; Karger, Ezra; Nencka, Peter
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Data Collections: IPUMS USA - Ancestry Full Count Data, IPUMS NHGIS
Topics: Methodology and Data Collection, Population Data Science
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