Factors influencing anticipated migration patterns across metropolitan cities in the United States between 2018 and 2022

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Abstract
The COVID-19 pandemic has impacted people’s lives in various cities across the United States. This study explored the factors influencing anticipated migration patterns as indicated by the house search on the Redfin platform in 132 United States cities before, during, and after the COVID-19 Pandemic. The research addresses a crucial gap in the existing literature on recent trends in migration patterns, factors influencing this, and the potential impact of the pandemic. We employed a multivariate regression model to study overall migration and additional models to examine yearly data, identifying key factors that drive people to relocate. We identified that regions with better healthcare services, lower income inequality, and lower unemployment rates increasingly attract residents. Cities with greater racial and ethnic diversity, as well as high school completion rates, were also appealing until 2020 when the importance of education in migration decisions was overshadowed by housing affordability issues. Meanwhile, proximity to larger cities played a significant role, with people favoring smaller cities nearby for better growth opportunities. Our findings suggest that developing cities with smaller populations are becoming preferred destinations due to their mix of affordability, job opportunities, and better living conditions. These insights are invaluable for policymakers, city planners, and community organizations, helping guide urban development strategies and address challenges such as income inequality, neighborhood segregation, and healthcare accessibility.

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