This dataset contains correctional facilities run by local jurisdictions within Maryland. The data was obtained from the Governor's Office of Crime Control and Prevention (GOCCP).

档案包括监管释囚计划下的监管个案宗数、顺利完成的个案宗数及未能顺利完成的个案宗数。

This dashboard highlights both prison and community based correction information.

This GIS dataset contains point features that represent correctional facilities associated with a single NAICS code. Establishment-specific information, except the annual excess food estimate, was licensed to the EPA from Hoovers, Inc. in 2018 (http://www.hoovers.com). Calculations used to estimate annual excess food weight are described in EPAs 2019 publication: Technical Methodology for the EPA Excess Food Opportunities Map. The dataset contains 5,269 facilities.

This dataset contains correctional facilities run by the Maryland Department of Public Safety and Corrections (DPSCS). Data includes year opened, security level and facility administrators.

Using data from RECIDIVISM OF PRISONERS RELEASED IN 1994: [UNITED STATES] (ICPSR 3355), this study developed an analytical approach to utilize detailed dated criminal arrest history information in order to investigate whether, and to what extent, incarceration is able to deter offenders from future offending. This data collection consists of the syntax for a SAS macro used to estimate individual specific offending micro-trajectories, project counterfactual trajectories, and to assess the actual post-release offending patterns against the backdrop of these counterfactuals. The arrest records of individuals were clustered in chronological order and were truncated after the first post-release re-arrest event. The key independent variables used in estimating the pre-release criminal history accumulation process included the arrest number, the age at first arrest, whether or not the individual was confined as a result of the previous arrest event, and a measure of the number of years taken to reach each arrest event cumulated through the last arrest event. The same set of basic variables were used to model first re-arrest after release (recidivism).

The purpose of this multisite program evaluation project was to provide detailed and systematic descriptions of participants and treatment program components for a sample of five drug treatment programs in local jails. Three of the programs were located in California: Jail Education and Treatment (JET), Deciding, Educating, Understanding, Counseling, and Evaluation (DEUCE), and Rebuilding, Educating, Awareness, Counseling, and Hope (REACH). Two programs were in New York State: Substance Abuse Intervention Division (SAID) and New Beginnings. The project was aimed at assessing program completion rates as well as 12-month post-release recidivism for program participants versus matched controls. Background information obtained about the participating offenders includes sex, race, age, education, marital status, and employment status, as well as history of drug use, previous drug treatment, mental illness, inpatient/outpatient episodes, and offenses and sentencing. Additional data cover program location, dates of release from the program and from jail, type of program termination, type of residence upon release, and anticipated post-custody treatment. Information on each conviction/disposition was obtained through state criminal information systems, and state-level criminal history data (rap sheets) were collected for both the treatment and comparison groups. The unit of analysis is arrest events.

This data collection was designed to evaluate the Client Specific Planning (CSP) program of the National Center on Institutions and Alternatives (NCIA). The CSP program offers non-incarcerative sentencing options and alternatives prepared for judges and presented by an NCIA caseworker. The study measures the impact of the program on sentence length, sentence severity, the effectiveness of the program at diverting serious felony offenders from incarceration, and the rate, type, seriousness, and timing of recidivism in a 24-month post-sentence risk period. Variables are provided for each defendant on demographic characteristics, criminal history, prior counseling experiences, prior incarceration, charges and dispositions of the recidivist arrests, and types of sentencing alternatives recommended in CSP.