Migration and political polarization in the U.S.: An analysis of the county-level migration network

PLoS One. 2019 Nov 22;14(11):e0225405. doi: 10.1371/journal.pone.0225405. eCollection 2019.

Abstract

Research question: From gridlock in lawmaking to shortened holiday family dinners, partisan polarization pervades social and political life in the United States. We study the degree to which the dynamics of partisan polarization can be observed in patterns of county-to-county migration in the U.S. Specifically, we ask whether migration follows patterns that would lead individuals to homogeneous or heterogeneous partisan exposure, using annual county-to-county migration networks from 2002 to 2015. Adjusting for a host of factors, including geographic distance, population, and economic variables, we test the degree to which migration flows connect counties with similar political preferences.

Findings: Our central finding is that over the period studied, county-to-county migration flows connect counties with similar partisan voting profiles. Moreover, partisan sorting is most pronounced among the most politically extreme counties. The implication of this finding in the context of partisanship is that U.S. migration patterns reinforce partisan sorting, limiting the degree to which individuals will experience cross-the-aisle local social contacts through spatial interaction. This finding builds on existing research that has documented (1) that individuals prefer to move to and live in locations inhabited by co-partisans, and (2) that local geographic areas have become more polarized in recent decades. Our results indicate that large scale patterns of polarized migration flows serve as a potential mechanism that contributes to geographic partisan polarization.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Emigration and Immigration / legislation & jurisprudence*
  • Humans
  • Judgment
  • Politics*
  • Population Dynamics
  • Social Behavior
  • Social Perception
  • United States

Grants and funding

This work was supported in part by NSF grants SES-1558661, SES-1637089, SES-1619644, SES-0752986, and CISE-1320219 to BAD, and by a seed grant from the Institute for CyberScience at The Pennsylvania State University to CA. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.