Exploring the dynamics of crime rates in a specific area requires a consideration of diverse influential factors, encompassing socioeconomic conditions, demographics, and more. In our endeavor to attain a thorough comprehension, we scrutinized additional datasets, with a notable focus on the “BOSTON NEIGHBORHOOD DEMOGRAPHICS, 2015-2019.” This dataset, meticulously compiled by the BPDA Research Division, leverages U.S. Census Decennial data to delineate demographic transformations in Boston’s neighborhoods spanning the period from 1950 to 2010, utilizing consistent tract-based geographies.
The dataset’s most recent demographic insights are extrapolated from the 5-year American Community Survey (ACS), furnishing a holistic panorama of Boston’s neighborhoods based on Census-tract approximations. Within this dataset, diverse dimensions such as age, race, nativity, education, household income, and poverty rates are comprehensively covered. For our analysis, I chose to concentrate on household incomes and poverty rates as an external factor, aiming to discern its correlation with crime rates across different areas.