Inequality

python

2025

Cambridge, Massachusetts

Inequality in Massachusetts: A Sociological Portfolio

This portfolio synthesizes four Python-based analyses of inequality in Massachusetts—Arrestee.ipynb, Behavioral Risk Mass.ipynb, Mortality.ipynb, and Migration and Inequality in MASS.ipynb. Together, they examine disparities in criminal justice, public health, mortality, and socioeconomic mobility, providing a multi-dimensional view of how race, class, gender, age, and migration status shape life chances in the Commonwealth.

Key Findings
1. Criminal Justice Inequality

Arrest patterns reveal persistent racial and ethnic disparities. Black and Hispanic/Latinx residents are disproportionately represented relative to their share of the population, especially in discretionary offenses such as “drunkenness” or “all other offenses.”

Younger adults (18–35) are consistently the most policed demographic, suggesting early pathways into criminalization.

Gendered inequalities emerge: Black males are more likely to face custodial arrests, while White males are more likely to be involved in on-view arrests.

Sociological insight: These patterns reflect systemic racialization in policing and the intersection of race, class, and age in shaping exposure to state surveillance.

2. Public Health & Behavioral Risks

Behavioral Risk Factor Surveillance System (BRFSS) data highlight elevated rates of depression, obesity, smoking, and limited access to care among low-income and racially marginalized groups.

Depression prevalence is highest among women, low-income individuals, young adults (18–25), and multiracial respondents.

Health risks concentrate among individuals with less than a high school education and those identifying as Indigenous or multiracial.

Healthcare access gaps persist: Hispanic respondents report the lowest rates of insurance and access to a personal provider.

Sociological insight: Mental health disparities mirror broader structures of inequality, where socioeconomic precarity, gendered burdens, and racialized discrimination converge.

3. Mortality Disparities

Mortality rates per 100,000 show stark racial inequalities: Black non-Hispanic residents (986) and Hispanic/Latinx residents (792) face significantly higher rates than White (mid-range) and Asian/Pacific Islander populations (472).

The highest absolute number of deaths occurs among White residents, but adjusted rates reveal disproportionate burdens on communities of color.

Data limitations (e.g., the “Other” category at 138) suggest underreporting or misclassification.

Sociological insight: Mortality gaps demonstrate structural racism in housing, healthcare access, and labor markets, underscoring how inequality manifests in life expectancy itself.

4. Migration & Socioeconomic Inequality

ACS data reveal an aging population: a declining share of youth and a growing 65+ population. This shift raises concerns for healthcare, pensions, and intergenerational equity.

Migration and income correlations are weak, suggesting that structural barriers—legal status, language, discrimination—are not easily captured by standard metrics.

SNAP and SSI reliance are disproportionately high among certain racial/ethnic groups, showing persistent economic vulnerability despite safety net programs.

Sociological insight: Migration status interacts with race and class to shape barriers in access to benefits and employment, pointing to layered forms of exclusion.

Policy Implications

Criminal Justice Reform

Shift toward community-based and restorative policing.

Invest in diversion programs for youth to disrupt cycles of early criminalization.

Mandate bias training and transparent arrest reporting by race, age, and gender.

Health Equity Initiatives

Expand culturally competent mental health services in Black, Latinx, and Indigenous communities.

Increase funding for preventive healthcare, mobile clinics, and housing support in high-mortality neighborhoods.

Address stigma and reporting gaps through community-based survey design.

Intersectional Data Infrastructure

Require state agencies to collect and publish disaggregated data by race, ethnicity, gender, income, and geography.

Standardize reporting categories to reduce misclassification.

Develop public dashboards to enhance transparency and accountability.

Socioeconomic & Migration Support

Expand access to SNAP, SSI, and health benefits for immigrant households regardless of status.

Provide job training, adult education, and entrepreneurship programs to promote economic mobility.

Prepare for aging demographics by strengthening elder care infrastructure and retirement systems.

Future Directions

Intersectional Expansion: Incorporate more granular income, education, and geographic data to deepen analysis.

Qualitative Integration: Pair statistical findings with interviews, case studies, and ethnographic accounts to contextualize inequality.

Dashboard Development: Build interactive public-facing dashboards to democratize access to findings, empowering journalists, policymakers, and community advocates.

Comparative Research: Extend analyses beyond Massachusetts to compare inequality patterns across U.S. states, highlighting both unique and shared dynamics.

Conclusion

This portfolio demonstrates that inequality in Massachusetts is not a single-domain problem but a structural phenomenon cutting across criminal justice, health, mortality, and migration. Race, class, age, and gender intersect to shape outcomes, producing durable disparities that require systemic reform. For sociology, these findings reaffirm the value of intersectional and structural approaches to inequality. For policymakers, they underscore the urgency of targeted interventions, transparent data practices, and community-driven solutions.

https://github.com/Abrhamyohannes