Full Citation

Title: Simulating the 2020 Census Miscounts and the Fairness of Outcomes

Citation Type: Miscellaneous

Publication Year: 2021

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Abstract: Population censuses have never been and never will be perfect. The 2020 Census was not likely perfect, either. The challenges and obstacles to conducting the 2020 Census were numerous and varied—from its politicization to the pandemic—and accuracy and fairness were likely affected. Questions and concerns have been raised about the quality of the 2020 Census and whether the data will be as accurate as previous censuses (GAO 2020c; Thompson 2021). The goal of the Urban Institute’s study was to address such questions about quality and provide additional data about the 2020 Census’s accuracy and fairness. Urban created an innovative methodology—a simulation of the 2020 Census—to better understand the decennial census’s performance.

Url: https://www.urban.org/sites/default/files/publication/104961/simulating-the-2020-census.pdf

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Authors: Elliot, Diana; Martin, Steven; Shakesprere, Jessica; Kelly, Jessica

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Data Collections: IPUMS USA

Topics: Methodology and Data Collection

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