vulnerability & exposure to violence, crime, and misuse of power

Understanding violence and safety in a community also requires examining the systems that shape how laws are enforced, how harm is defined, and who has influence over public policy. This section brings together data sources that help illuminate patterns of bias within local legal and policing systems, the ways certain behaviors or communities are more heavily criminalized, and disparities in representation within civic and political decision-making.

Data on arrests, charging decisions, sentencing, policing activity, and enforcement priorities can reveal how communities and community members experience the policing and legal systems in unequal ways. This might show up in differences in stop rates, arrest rates for low-level offenses, pre-trial detention, and/or sentencing outcomes. Research has consistently shown that if not appropriately monitored and corrected, enforcement practices, surveillance, and discretionary decision-making can produce disproportionate impacts on low-income communities, immigrants, and communities of color. 

Similarly, criminalization data—such as enforcement of minor offenses, fines and fees, or quality-of-life policing—illustrates how certain activities or economic conditions become pathways into the legal system. These patterns often intersect with poverty, housing instability, and limited access to social services.

This section also includes sources that help contextualize enforcement patterns by examining representation and power within local institutions. Data on who holds elected office, who participates in policy-making processes, and who is represented in community leadership roles can highlight gaps between the populations most affected by public safety policies and those who shape them. 

As with crime data, these datasets should be interpreted thoughtfully. Measures of bias and representation are often incomplete, and many important experiences—such as informal discrimination, community trust, or barriers to participation—are difficult to capture quantitatively. Whenever possible, these data should be used alongside community knowledge, qualitative research, and lived experience.

By exploring these data sources together, community organizations can better understand how structural factors, institutional practices, and representation influence public safety outcomes. The goal is to support more informed conversations about accountability, equity, and the policies that shape safety and justice in local communities.