Case study · Collaborative data + policy research

Arrest trends, policy reform, and racial disparities.

A three-city analysis asking what changed from 2013–2022, which shifts aligned with major policy events, and why falling totals do not automatically mean disparities are shrinking.

NYC · DC · LAPython + pandasMay 2025Team project

Public debate moves quickly. Structural patterns do not.

Short windows and single-city stories can make ordinary seasonality look like policy impact, or make aggregate declines look like equitable progress. The project compared adult arrest patterns across Washington, DC, Los Angeles, and New York City while mapping selected reforms to the timeline.

Source scope: the submitted paper’s comparable city trend charts cover 2013–2022.

A collaborative course research project.

Shared work

The paper uses “we” throughout and represents a team’s combined literature review, data analysis, policy selection, charts, and conclusions.

Ayotunde’s portfolio contribution

Research collaboration, analytical framing, interpretation of city and policy charts, and written policy synthesis. The case study does not claim sole authorship.

See the analysis, not only the summary.

The excerpts below are rendered directly from the submitted paper. Open the PDF for complete methods, citations, limitations, and team context.

Move from totals to context, composition, and limits.

Step 1

Build comparable series

Organize city, date, and charge-type fields so trend movement can be compared without treating unlike categories as identical.

Step 2

Mark policy events

Place selected reforms, including marijuana decriminalization/legalization and Proposition 47, inside the observed timelines.

Step 3

Test expectations

Use proportion trends and a difference-in-differences comparison to examine whether the direction of change matches the policy claim.

Step 4

Keep caveats visible

Separate association from causation and acknowledge different reporting practices, population context, and data-quality limits.

The direction is clear. The explanation is not singular.

Totals fell

Adult arrest totals declined across the three displayed city series from 2013–2022.

Policy effects varied

Reforms aligned with changes in some series, but the mechanisms and timing differed by city.

Composition matters

A lower total does not reveal whether the burden across charge types or racial groups changed equitably.

Implementation matters

The observed trends complicate clean before-and-after narratives, particularly around Proposition 47 and legalization.

What the analysis cannot establish.

  • City agencies may define, collect, and revise arrest categories differently.
  • An arrest is not the same as a crime occurrence, conviction, or measure of public safety.
  • Policy timing overlaps with other changes, including COVID-era enforcement shifts.
  • The paper notes missing population context in parts of the analysis.
  • Associations around policy events do not by themselves establish causal impact.

Read, reproduce, and question the work.