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This study aims to find how crime rates in Maryland are connected to different socioeconomic elements. This study is focused on understanding how crime rates link up with factors like unemployment, household income levels, racial backgrounds, and the level of education people have. A quantitative analysis of state-level crime data from 2010 to 2020 was used; the study employs a comprehensive range of methods. Conducted a detailed picture through descriptive analysis, then reshaped data using log and square root transformations, and tested hypotheses with a t-test. The paper further examines the relationships between variables through a correlation matrix before applying ordinary least squares regression to predict outcomes. It has been discovered that areas facing more significant economic challenges seen through higher Unemployment rates and diminished earnings frequently show an uptick in crime. The examination highlights a strong link between unemployment and criminal behavior, especially in counties where families consistently earn less. Research highlights how vital education is by showing that when people achieve higher levels of education, they tend to commit fewer crimes. The study illuminates the intricate interplay between economic factors and criminal activities, offering invaluable insights for law enforcement agencies and policymakers. These insights can guide the development of effective strategies to combat crime; ultimately, the research deepens our understanding of how economic fluctuations significantly influence crime rates in Maryland.