Building statistics of the Ministry of Justice 2018-2023

Associations subject to the supervision of the Ministry of Justice during the year 2023

Investigator(s): Bureau of Justice Statistics The National Justice Agency List is a master name and address file created and maintained by the United States Bureau of the Census for the Bureau of Justice Statistics. The file was first created in 1970, and the Census Bureau has continued to maintain and expand the file. For the original survey, each county in the United States and each municipality and township with a 1960 population of 1,000 or more persons was surveyed to identify the names and addresses of the criminal justice agencies and institutions controlled by local government. The survey was conducted by mail canvass. In addition to the mail survey, the Census Bureau collected information on state-level governments and counties with a 1960 population of 500,000 or more and cities with a 1960 population of 300,000 or more through in-house research methods. The reference information included a variety of published government documents such as budget statements, organization manuals, and state, county, and municipal directories.

Press releases from the Department of Justice concerning the IRS.

Data from across the government on responses to and outcomes of domestic abuse cases in the criminal justice system.

The new FJSRC linking system, implemented with the 2008 FJSRC data, includes sets of agency dyad linked files created by improved methods of algorithmic matching. There are both inter-agency linked files and intra-agency dyad linked files. The inter-agency matched pair files (or "dyads") permit the linking of records from two different source agencies for adjacent stages of federal case processing by providing a crosswalk of the agency-specific key ID variables for the two agency data files in the pair. These agency ID variables (sequential ID numbers) may be used to link records from one agency's standard analysis file (SAF) to the next. The system enables users to track individual defendant-cases through stages of the federal criminal justice system (from arrest to prosecution, adjudication, sentencing, and corrections) sequentially, one agency dyad pair at a time. Each inter-agency paired linked file relates the sequential record numbers (i.e. SEQ_NUM) included in the SAFs from one agency/stage to another. The intra-agency matched pair files (also dyads) permit the same type of linking as described above except that the linkages are within the same federal agency. The linkages are to different stages of case processing withing a particular agency. The system covers all data years from 1994-2023. These data are part of a series designed by the Urban Institute (Washington, D.C.) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute through 2012. Data from 2013 and on were prepared by Abt Associates.

Complete data set from the Washington State Criminal Justice Data Book. Combines state data from multiple agency sources that can be queried through CrimeStats Online.

The reports presents the main trends on the latest 12 months of activity in the criminal justice system (CJS) for England and Wales. For each process a brief description of the function is included with an explanation of some of the main procedures involved.

2021 Statistics in the electronic services of the Ministry of Justice

Dataset

This dataset was created by Mani510

Released under Apache 2.0

Contents

A Ministry of Justice publication under section 95 of the Criminal Justice Act 1991. To avoid discrimination in the Criminal Justice System on grounds of sex, the Secretary of State for the Ministry of Justice publishes details relating to women's experience of the CJS as victims, suspects, defendants, offenders and employees Source agency: Justice Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Women and the Criminal Justice System

The objective of this study was to systematically review and statistically synthesize all available research that, at a minimum, compared participants in a restorative justice program to participants processed in a more traditional way using meta-analytic methods. Ideally, these studies would include research designs with random assignment to condition groups, as this provides the most credible evidence of program effectiveness. The systematic search identified 99 publications, both published and unpublished, reporting on the results of 84 evaluations nested within 60 unique research projects or studies. Results were extracted from these studies, related to delinquency, non-delinquency, and victim outcomes for the youth and victims participating in these programs.

The data contain records of defendants in criminal cases terminated in United States District Court during fiscal year 2001. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 4.1-4.5 and 5.1-5.6. Variables containing identifying information (e.g., name, Social Security number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.

This data builds on the Harvard Criminal Justice Debt Initiative dataset for North Carolina by providing a history of the fines and surcharges associated with each legal statute. Where available, fines and surcharges are documented for when they increased and the amount they increased as well as the "fund" that the fines, fees, or surcharges were deposited in.

This dataset shows the total monthly counts of all reports made to the Justice Center’s hotline. Data is accurate at time of reporting. Additional information, evidence, or reports received by the Justice Center may alter a classification.

The data contain records of arrests and bookings for federal offenses in the United States during fiscal year 2005. The data were constructed from the United States Marshals Service (USMS) Prisoner Tracking System database. Records include arrests made by federal law enforcement agencies (including the USMS), state and local agencies, and self-surrenders. Offenders arrested for federal offenses are transferred to the custody of the USMS for processing, transportation, and detention. The Prisoner Tracking System contains data on all offenders within the custody of the USMS. The data file contains variables from the original USMS files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 1.1-1.3. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.

This dataset provides the number of Criminal Background Checks by outcome performed each month.