Our Data Dashboard
Explore our interactive data dashboard below. To learn more about the methodology behind our dashboard’s data model, visit our methodology page.
The Overview
Our newly-launched data model offers detailed insights into the crisis of arrest and conviction records in America. The CSI Data Dashboard presents population estimates for people in the U.S. who are impacted by arrest or conviction records, with data further broken down by race, ethnicity, sex, and type of record, within each state and over time.
Our Methodology
We have developed a methodology to estimate how many adults are impacted by a record, both in states and nationwide. Our data model is the first of its kind, giving researchers, lawmakers, advocates, and the public the ability to estimate the individual-level impacts of Clean Slate laws broken down by race, ethnicity, sex, and types of records.
We use state and federal data sources and apply recidivism, deportation, mortality, and inter-state mobility rates to ensure our estimates account for dynamic population trends. We use our data model to examine the impacts of our policies, allowing us to take into account waiting periods and the types of records eligible for Clean Slate automatic clearance and to determine what the impacts of our policies are on racial equity.
How to Use the Dashboard
Samuel Sinyangwe, a data scientist and founder of Mapping Police Violence, led the creation of the CSI Data Dashboard as well as the data model that powers it. You can find a written walkthrough here, and a list of frequently asked questions about the dashboard on our FAQ page.
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