Author(s) :

Yuri Chung.

Volume/Issue :

Abstract :

This study examines how income, education, unemployment, and poverty jointly predict violent crime rates in county-level across the United States through a multiple linear regression. The research question of this study guided the analysis, asking how these four socioeconomic variables collectively influenced patterns of violent crime. According to existing criminological theories, this study hypothesized that communities with lower income and educational attainment, along with the higher unemployment rate and poverty may experience higher levels of violent crime. To test this hypothesis, this study utilized county-level crime data from a national law enforcement reporting system that combined with socioeconomic indicators from a large-scale federal population survey. Particularly, violent crime rates were obtained from the FBI Uniform Crime Reporting (UCR) Program, and socioeconomic indicators were obtained from the American Community Survey (ACS) from the U.S. Census Bureau, with counties as the units of analysis. A multiple linear regression model was used to estimate unique contribution of each socioeconomic variable while controlling the others. The findings in this study supported the hypothesis that poverty was a strong positive correlate with violent crime, while income and education indicated protective effects. Poverty indicated the largest standardized coefficient in the regression model, while a smaller but statistically significant positive association was shown with unemployment relative to other predictors. Unemployment also contributed to higher crime rates but through a lesser degree. Taken together, the findings in this study showed that broader structural conditions rather than isolated individual behaviors shaped violent crime. Communities with stronger economic stability and access to employment and educational opportunities tended to experience safer environments. These findings emphasize the importance of applying comprehensive strategies with socioeconomic disadvantages as a part of them to promote long-term community well-being.