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.

In 2022/23, the proportion of all adult offenders who reoffended in England and Wales was 26 percent. Since 2008/09 the reoffending rate has fluctuated between a high of 31.6 percent in 2008/09 to a low of 24 percent in 2020/21.

recidivism rates for persons released from state prisons with specific demographic, criminal history, and sentence attributes.

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.

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 quarterly release presents statistics on the reoffending of adults under supervision of the Probation Service in England and Wales. Data are available at the regional, probation area and local authority level.
These statistics will be published on a quarterly basis, and are available via the Ministry of Justice website.
All tables show 12 months of data, from the first day of the first month to the final day of the final month.
Data for the City of London is based on low numbers and has only been included for completeness in covering all Local Area Agreements. Any changes between actual and predicted rates should therefore be treated with caution.

To see the statistics from MOJ click here, for further document collections from MOJ click here.

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.

In France in 2022, the legal recidivism and reoffending rate among those convicted of crimes was 9.1 percent, a decrease compared to the previous year. Between 2011 and 2022, the recidivism rate of criminals fluctuated between 5.7 and 11.5 percent.

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.

Statistics on the reoffending of adults under supervision of the Probation Service in England and Wales

Source: Ministry of Justice (MoJ)

Publisher: Ministry of Justice (MoJ)

Geographies: County/Unitary Authority, Police Force Area

Geographic coverage: England and Wales

Time coverage: 2007 to 2009

Type of data: Administrative data

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 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.

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.

This data collection provides comprehensive criminal history data on prisoners released from custody in 1983. Precise estimates are supplied on recidivism among prisoners of all ages with all types of postrelease supervision. Data cover recidivism both within and outside the states in which the prisoners were released. Variables include sociodemographic indices, type of sentence, length of sentence, offense, court action, and date of court action.

description: This dataset reports whether an offender is re-admitted to prison or not within three years from their admission to probation. 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.; abstract: This dataset reports whether an offender is re-admitted to prison or not within three years from their admission to probation. 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.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study, with assistance from the National Institute of Justice's Data Resources Program (FY2012), is a reanalysis of data from the national evaluation of the federal Serious and Violent Offender Reentry Initiative (SVORI). SVORI provided funding to 69 agencies across the United States to enhance reentry programs and coordination between corrections and community services. The national evaluation covered 16 of these sites, twelve of which provided services to the 2,054 adult ex-prisoners who are the focus of the present study. The purpose of this study is to understand whether or not offenders receive the services they say they need, and whether the degree of 'fit' between this self-reported criminogenic need and services received is related to recidivism. This study analyzes data from the SVORI multisite evaluation to assess the potential explanations for the mixed effectiveness of reentry programs. The goal is to understand whether or not service-risk/need fit is related to successful reentry outcomes, or whether the needs of returning prisoners are unrelated to their risk of recidivism regardless of how well they are addressed. For the present study researchers obtained the SVORI (ICPSR 27101) outcome evaluation datasets from the National Archive of Criminal Justice Data (NACJD). The archive holds four separate datasets from the evaluation: Adult Males Data (Part 1, N=1,697), Adult Females Data (Part 2, N=357), Juvenile Males Data (Part 3, N=337) and official recidivism and reincarceration data (Part 4, N=35,469), which can be linked on a one-to-many basis with the individual-level data in the other three datasets. To prepare the SVORI data for analysis researchers merged Datasets 1 and 2 (Adult Males and Adult Females) and created seven separate datasets containing Waves 1 through 4 survey data, National Crime Information Center (NCIC) crime data, administrative data, and sampling weights. This deposit to NACJD is intended to complement the existing SVORI dataset (ICPSR 27101). It contains an R syntax file to be used with the datasets contained in the ICPSR 27101 collection.

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.

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

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.