Decrease the percentage of offenders returning to prison within 36 months of release from 21.2% in 2013 to 20.1% by 2017.

NIJ's Recidivism Challenge - Data Provided by Georgia Department of Community Supervision, Georgia Crime Information Center. The Challenge uses data on roughly 26,000 individuals from the State of Georgia released from Georgia prisons on discretionary parole to the custody of the Georgia Department of Community Supervision (GDCS) for the purpose of post-incarceration supervision between January 1, 2013 and December 31, 2015. This is the dataset of all individuals (training and test) with all variables released.

Represents return status within three years of release among incarcerated individuals released to the community during a particular calendar year. Each data record represents a release to the community as a result of completing maximum sentence, reaching conditional release date, or being approved for release by the Board of Parole. The dataset includes data about release year, county of indictment, gender, age at release, and return status.

Recidivism is the act of committing another crime or coming into conflict with the criminal justice system (CJS) again. It is an important measure of the effectiveness of CJS efforts to promote rehabilitation, reintegration, and public safety. This fact sheet is based on publicly available data from the provincial governments of Ontario and Québec, the Correctional Service of Canada (CSC), Public Safety Canada (PSC), and Statistics Canada. The data were collected from 2001 to 2016.

Port of the compas-recidivism dataset from propublica (github here). See details there and use carefully, as there are serious known social impacts and biases present in this dataset. Basic preprocessing done by the imodels team in this notebook. The target is the binary outcome is_recid.

  Sample usage

Load the data: from datasets import load_dataset

dataset = load_dataset("imodels/compas-recidivism") df = pd.DataFrame(dataset['train']) X = df.drop(columns=['is_recid']) y =… See the full description on the dataset page: https://huggingface.co/datasets/imodels/compas-recidivism.

The NLSY97 standalone data files are intended to be used by crime researchers for analyses without requiring supplementation from the main NLSY97 data set. The data contain age-based calendar year variables on arrests and incarcerations, self-reported criminal activity, substance use, demographic variables and relevant variables from other domains which are created using the NLSY97 data. The main NLSY97 data are available for public use and can be accessed online at the NLS Investigator Web site and at the NACJD Web site (as ICPSR 3959). Questionnaires, user guides and other documentation are available at the same links. The National Longitudinal Survey of Youth 1997 (NLSY97) was designed by the United States Department of Labor, comprising the National Longitudinal Survey (NLS) Series. Created to be representative of United States residents in 1997 who were born between the years of 1980 and 1984, the NLSY97 documents the transition from school to work experienced by today's youths through data collection from 1997. The majority of the oldest cohort members (age 16 as of December 31, 1996) were still in school during the first survey round and the youngest respondents (age 12) had not yet entered the labor market.

Three different measures of recidivism (rearrest, reincarceration, and overall recidivism) have been used by the DOC in a recent report to further explore the effects of recidivism on the criminal justice system. The DOC defines rearrest as: “the first instance of arrest after the individual is released from the custody of the DOC.” The DOC defines reincarceration as: “the first instance of returning to the custody of the DOC after the individual is released from the DOC.” The DOC defines overall recidivism as: “the first instance of any type of rearrest or reincarceration after the individual is released from the DOC.”

• The 3-year rearrest rates have been consistently higher than the 3-year reincarceration rates.
• The overall recidivism rates have remained relatively stable.
• From 2000 to 2013, rearrest rates appear to grow consistently before trending downward in recent years (e.g. 3-year rate has been below 50.0% in 4 of the last 5 years).
• The 2013 3-year reincarceration rate was down slightly at 43.7%, still lower than all the 3-year rates prior to 2008.
• The 2013 3-year overall recidivism rate dropped to 60.9%. This was the second lowest overall recidivism rate in the past 13 years (with 2011 being lowest at 59.9%)
• The 2015 1-year rates were all up slightly.

These statistics are based on a cohort of inmates.

The rate of recidivism of sentenced prisoners in Finland fluctuated over the period from 2009 to 2018. 76 percent of sentenced prisoners released in 2018 who had six or more previous prison sentences returned to prison within a five-year follow-up period. The corresponding share among prisoners with one previous sentence was 41 percent.

In France in 2022, the legal recidivism and reoffending rate among those convicted of offenses was 17.5 percent. Between 2011 and 2021, the recidivism rate of offenders remained stable: between 11.3 and 14.6 percent. Nevertheless, in 2022 this figure increased significantly compared to the previous year.

Recidivism is a measure of the APS clients with investigations closed in a particular fiscal year, who had a separate investigation opened in the same fiscal year. To protect the identities of clients in counties with very small populations, data from counties with between 1 and 5 cases of Recidivism are displayed as "1-5", and no Recidivism % is provided. Additionally, these counties will be unavailable on the Ranking, Trends, and Sex Distribution charts for fiscal years in which they have 5 or fewer cases of Recidivism.

Dataset from Singapore Prison Service. For more information, visit https://data.gov.sg/datasets/d_7f7de77c2e375288eb25690297c327ea/view

The purpose of the study was to quantify the effect of the embrace of DNA technology on offender behavior. In particular, researchers examined whether an offender's knowledge that their DNA profile was entered into a database deterred them from offending in the future and if probative effects resulted from DNA sampling. The researchers coded information using criminal history records and data from Florida's DNA database, both of which are maintained by the Florida Department of Law Enforcement (FDLE), and also utilized court docket information acquired through the Florida Department of Corrections (FDOC) to create a dataset of 156,702 cases involving offenders released from the FDOC in the state of Florida between January 1996 and December 2004. The data contain a total of 50 variables. Major categories of variables include demographic variables regarding the offender, descriptive variables relating to the initial crime committed by the offender, and time-specific variables regarding cases of recidivism.

This data collection examines the relationship between individual characteristics and recidivism for two cohorts of inmates released from North Carolina prisons in 1978 and 1980. The survey contains questions on the background of the offenders, including their involvement in drugs or alcohol, level of schooling, nature of the crime resulting in the sample conviction, number of prior incarcerations and recidivism following release from the sample incarceration. The data collection also contains information on the length of time until recidivism occurs.

The rate of recidivism among released prisoners in Finland fluctuated over the period from 2009 to 2018. 60 percent of sentenced prisoners released in 2018 returned to prison within a five-year follow-up period.

NIJ's Recidivism Challenge - Data Provided by Georgia Department of Community Supervision, Georgia Crime Information Center. The initial test dataset is the remaining 30% of the population used in the Challenge. This dataset does not have the dependent variable as that is what you are intended to forecast.

In 2023, about 32.8 percent of about 27,611 drug offenders in South Korea reoffended. The recidivism rate has remained relatively stable over the past five years.

description: This dataset reports whether an offender is re-admitted to prison or not within three years from being released from prison in Iowa. The recidivism reporting year is the fiscal year (year ending June 30) marking the end of the three year tracking period. The Department of Corrections uses recidivism as an indicator on whether strategies are reducing offenders relapse into criminal behavior. A three year time frame is used as studies have shown if an offender relapses into criminal behavior it is most likely to happen within three years of being released.; abstract: This dataset reports whether an offender is re-admitted to prison or not within three years from being released from prison in Iowa. The recidivism reporting year is the fiscal year (year ending June 30) marking the end of the three year tracking period. The Department of Corrections uses recidivism as an indicator on whether strategies are reducing offenders relapse into criminal behavior. A three year time frame is used as studies have shown if an offender relapses into criminal behavior it is most likely to happen within three years of being released.

The rate of recidivism among sentenced prisoners in Finland fluctuated between 2009 and 2018. 61 percent of male prisoners and 45 percent of female prisoners released in 2018 returned to prison within a five-year follow-up period.

Guidelines for reporting recidivism data in released prisoners and community sentenced populations (see the checklist in .docx format under the "Files" category)