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TEAM

Crime Patterns & Predictors

Deepesh Singhal,Yuxin Lin,Leonard Afeke,Feride Kose

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High violent crime rates can be related to many factors, such as low income, high unemployment rate, or high dropout rate. It can also be influenced by insufficient government funding for security and social services. With limited public resources, identifying the key drivers of high crime rate can help governments allocate resources more effectively to reduce the crime rate. In this project, we investigate long-term violent crime patterns across California’s 58 counties from 1985 to 2023, aiming to identify the socioeconomic and demographic factors most predictive of crime rates. We consider features across Demographics, Economics, Housing, Education, Health and Government expenditures.

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