County-to-county migration is associated with county-level racial bias in the United States

Millions of people move within the U.S. each year. We propose that people function as proxies for their locations, bringing the culture of their previous residence to their new homes. As a result, migration might systematically influence regional biases across geographic units over time. Using county-to-county migration data from the U.S. census and county-level racial attitude estimates from Project Implicit, the present research examined the impact of people relocating from one U.S. county to another on racial attitudes in their new county. Consistent with our prediction, the bias brought by the migrants positively predicts county-level racial bias after migration, even after controlling for county-level racial bias before migration. This finding remains robust across various sample inclusion criteria and spans three time periods (2006-2010, 2011-2015, and 2016-2020). These results highlight the significant role of migration in spreading and shaping regional racial attitudes, emphasizing the importance of considering macro-societal processes such as migration when studying changes in regional racial attitudes.

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Publication Details

Journal
Scientific Reports
Published
2025-02-21
DOI
https://doi.org/10.1038/s41598-025-88218-7
Primary Topic
Urban, Neighborhood, and Segregation Studies
Type
article
Field-Weighted Citation Impact
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article

County-to-county migration is associated with county-level racial bias in the United States

Rui Jin, Kate A. Ratliff, Jimmy Calanchini
Scientific Reports
Urban, Neighborhood, and Segregation Studies
article

County-to-county migration is associated with county-level racial bias in the United States

Rui Jin, Kate A. Ratliff, Jimmy Calanchini
article en

Abstract

Millions of people move within the U.S. each year. We propose that people function as proxies for their locations, bringing the culture of their previous residence to their new homes. As a result, migration might systematically influence regional biases across geographic units over time. Using county-to-county migration data from the U.S. census and county-level racial attitude estimates from Project Implicit, the present research examined the impact of people relocating from one U.S. county to another on racial attitudes in their new county. Consistent with our prediction, the bias brought by the migrants positively predicts county-level racial bias after migration, even after controlling for county-level racial bias before migration. This finding remains robust across various sample inclusion criteria and spans three time periods (2006-2010, 2011-2015, and 2016-2020). These results highlight the significant role of migration in spreading and shaping regional racial attitudes, emphasizing the importance of considering macro-societal processes such as migration when studying changes in regional racial attitudes.

Scientific ReportsVol. 15(1)
University of California, Riverside (US), University of Florida (US)
Reduced inequalities
Openalex Percentile: Top 96%
Urban, Neighborhood, and Segregation Studies
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