Recidivism: Beginning 2008
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Represents return status within three years of release among inmates 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 Among Young Parolees: a Study of Inmates Released from Prison in 22 States, 1978
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This study examines the criminal activities of a group of young offenders after their release from prison to parole supervision. Previous studies have examined recidivism using arrests as the principal measure, whereas this study examines a variety of factors, including length of incarceration, age, sex, race, prior arrest record, prosecutions, length of time between parole and rearrest, parolees not prosecuted for new offenses but having their parole revoked, rearrests in states other than the paroling states, and the nature and location of rearrest charges. Parolees in the 22 states covered in this study account for 50 percent of all state prisoners paroled in the United States in 1978.
Evaluation of a Repeat Offender Unit in Phoenix, Arizona, 1987-1989
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The purpose of this study was to evaluate the impact of a Repeat Offender Unit in Phoenix. Repeat Offender Programs are police-initiated procedures for patrolling and apprehending likely offenders in communities. These units typically rely on the cooperation of police and prosecutors who work together to identify, convict, and incarcerate individuals who are judged likely to commit crimes, especially serious crimes, at high rates. For this study, previous offenders were assigned either to a control or an experimental group. If an individual assigned to the experimental group was later arrested, the case received special attention by the Repeat Offender Program. Staff of the Repeat Offender Program worked closely with the county attorney's office to thoroughly document the case and to obtain victim and witness cooperation. If the individual was in the control group and was later arrested, no additional action was taken by the Program staff. Variables include assignment to the experimental or control group, jail status, probation and parole status, custody status, number of felony arrests, type of case, bond amount, number of counts against the individual, type of counts against the individual, number of prior convictions, arresting agency, case outcome, type of incarceration imposed, and length of incarceration imposed.
Criminal Recidivism in a Large Cohort of Offenders Released from Prison in Florida, 2004-2008
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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.
Cross-Validation of the Iowa Offender Risk Assessment Model in Michigan, 1980-1982
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These data were collected in an attempt to cross-validate the 1984 and 1985 versions of the Iowa model for assessing risk of offending while on parole by applying the model to a Michigan sample of male parolees over a follow-up period of two and one-half years. Different measures of predictors such as prior criminal history, current offense, substance abuse history, age, and recidivism on parole are available. The first file contains information on parolees such as demographic characteristics, drug use history, prior criminal history, risk scores, and parole history. The second file includes parolees' detailed criminal histories including the total number of violent and nonviolent felony arrests and dates, and charges and dispositions of each arrest with a maximum of eight arrests.