.avif)
Our Methodology
The Clean Slate Initiative (CSI) data dashboard methodology builds upon the approach used by Shannon et al. and the Brennan Center for Justice. We apply conviction rates, recidivism rates, deportation rates, mortality/survival rates, and inter-state mobility rates to estimate how many unique people are impacted by a record (vs. the number of cases or arrests reported). See below for citations, or click here to access our full methodology document.
How We Calculated the Number of People with a Record by State*
*Sample data, not actual data, is represented below.
Resources
Shannon, S. K., Uggen, C., Schnittker, J., Thompson, M., Wakefield, S., & Massoglia, M. (2017). The growth, scope, and spatial distribution of people with felony records in the United States, 1948–2010. Demography, 54(5), 1795-1818.
Craigie, T.A., Grawert, A., & Kimble, C. (2020). Conviction, imprisonment, and lost earnings: How involvement with the criminal justice system deepens inequality. Brennan Center for Justice at New York University.
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.
State Data Factsheets
As our research develops, we will release additional factsheets. Here are the impact statements for the following states:
Support Clean Slate
Your voice and action matter. Share your story to amplify the importance of second chances, or make a donation to help expand access to automated record sealing and opportunity for millions.
