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.

Investigator(s): United Nations Office at Vienna, R.W. Burnham, Helen Burnham, Bruce DiCristina, and Graeme Newman The United Nations Surveys of Crime Trends and Operations of Criminal Justice Systems (formerly known as the United Nations World Crime Surveys) series was begun in 1978 and is comprised of five quinquennial surveys covering the years 1970-1975, 1975-1980, 1980-1986, 1986-1990, and 1990-1994. The project was supported by the United States Bureau of Justice Statistics, and conducted under the auspices of the United Nations Criminal Justice and Crime Prevention Branch, United Nations Office in Vienna. Data gathered on crime prevention and criminal justice among member nations provide information for policy development and program planning. The main objectives of the survey include: to conduct a more focused inquiry into the incidence of crime worldwide, to improve knowledge about the incidence of reported crime in the global development perspective and also international understanding of effective ways to counteract crime, to improve the dissemination globally of the information collected, to facilitate an overview of trends and interrelationships among various parts of the criminal justice system so as to promote informed decision-making in its administration, nationally and cross-nationally, and to serve as an instrument for strengthening cooperation among member states by putting the review and analysis of national crime-related data in a broader context. The surveys also provide a valuable source of charting trends in crime and criminal justice over two decades.

Researchers have long been able to analyze crime and law enforcement data at the individual agency level and at the county level using data from the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program data series. However, analyzing crime data at the intermediate level, the city or place, has been difficult, as has merging disparate data sources that have no common match keys. To facilitate the creation and analysis of place-level data and linking reported crime data with data from other sources, the Bureau of Justice Statistics (BJS) and the National Archive of Criminal Justice Data (NACJD) created the Law Enforcement Agency Identifiers Crosswalk (LEAIC). The crosswalk file was designed to provide geographic and other identification information for each record included in the FBI's UCR files and Bureau of Justice Statistics' Census of State and Local Law Enforcement Agencies (CSLLEA). The LEAIC records contain common match keys for merging reported crime data and Census Bureau data. These linkage variables include the Originating Agency Identifier (ORI) code, Federal Information Processing Standards (FIPS) state, county and place codes, and Governments Integrated Directory government identifier codes. These variables make it possible for researchers to take police agency-level data, combine them with Bureau of the Census and BJS data, and perform place-level, jurisdiction-level, and government-level analyses.

Since 1930, the Federal Bureau of Investigation has compiled the Uniform Crime Reports (UCR) to serve as periodic nationwide assessments of reported crimes not available elsewhere in the criminal justice system. Law enforcement agencies contribute reports either directly or through their state reporting programs. Each year, summary data are reported in four types of files: (1) Offenses Known and Clearances by Arrest, (2) Property Stolen and Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police Employee (LEOKA) Data. The Offenses Known and Clearances by Arrest data files include monthly data on the number of Crime Index offenses reported and the number of offenses cleared by arrest or other means. The counts include all reports of Index crimes (excluding arson) received from victims, officers who discovered infractions, or other sources.

This presentation outlines the data available from the Canadian Centre for Justice Statistics (CCJS), such as police data (including Uniform Crime Reporting), criminal courts data, corrections data, family law data, and victimization data.

This data collection examines the effects of organizational environment and funding level on the utility of criminal justice research projects sponsored by the National Institute of Justice (NIJ). The data represent a unique source of information on factors that influence the quality and utility of criminal justice research. Variables describing the research grants include NIJ office responsible for monitoring the grant (e.g., courts, police, corrections, etc.), organization type receiving the grant (academic or nonacademic), type of data (collected originally, existing, merged), and priority area (crime, victims, parole, police). The studies are also classified by: (1) sampling method employed, (2) presentation style, (3) statistical analysis employed, (4) type of research design, (5) number of observation points, and (6) unit of analysis. Additional variables provided include whether there was a copy of the study report in the National Criminal Justice Archive, whether the study contained recommendations for policy or practice, and whether the project was completed on time. The data file provides two indices--one that represents quality and one that represents utility. Each measure is generated from a combination of variables in the dataset.

Criminal justice research may require merging disparate data sources that have no common match keys. The Law Enforcement Agency Identifiers Crosswalk (LEAIC) file facilitates linking reported crime data with socio-economic data. It does this by having a record for each law enforcement agency, law enforcement reporting entity, and access identifier for the National Crime Information Center (NCIC). Essentially, if an entity (law enforcement agency or section of a law enforcement agency) is capable of reporting crime information, it is included in the file. The LEAIC records contain common match keys for merging reported crime data and Census Bureau data. These linkage variables include the Originating Agency Identifier (ORI) code, Federal Information Processing Standards (FIPS) state, county and place codes, and Governments Integrated Directory government identifier codes.

Content

A directory of the Criminal Justice Agencies located in New York State.

Context

This is a dataset hosted by the State of New York. The state has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York State using Kaggle and all of the data sources available through the State of New York organization page!

• Update Frequency: This dataset is updated monthly.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Anthony Garand on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

The purpose of the study was to investigate the role and impact of forensic science evidence on the criminal justice process. The study utilized a prospective analysis of official record data that followed criminal cases in five jurisdictions (Los Angeles County, California; Indianapolis, Indiana; Evansville, Indiana; Fort Wayne, Indiana; and South Bend, Indiana) from the time of police incident report to final criminal disposition. The data were based on a random sample of the population of reported crime incidents between 2003 and 2006, stratified by crime type and jurisdiction. A total of 4,205 cases were sampled including 859 aggravated assaults, 1,263 burglaries, 400 homicides, 602 rapes, and 1,081 robberies. Descriptive and impact data were collected from three sources: police incident and investigation reports, crime lab reports, and prosecutor case files. The data contain a total of 175 variables including site, crime type, forensic variables, criminal offense variables, and crime dispositions variables.

Content

The Division of Criminal Justice Services (DCJS) collects personnel statistics from more than 500 New York State police and sheriffs’ departments. In New York State, law enforcement agencies use the Uniform Crime Reporting (UCR) system to report their annual personnel counts to DCJS.

Context

This is a dataset hosted by the State of New York. The state has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York State using Kaggle and all of the data sources available through the State of New York organization page!

• Update Frequency: This dataset is updated annually.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Zac Ong on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

This publication fulfils a statutory obligation for the Secretary of State to publish, annually, information relating to the criminal justice system with reference to avoiding discrimination on the ground of race. The publication reports statistical information on the representation of black and minority ethnic groups as suspects, offenders and victims within the criminal justice system and on employees within criminal justice agencies. Source agency: Justice Designation: National Statistics Language: English Alternative title: Race and the CJS

Quarterly national statistics release on the Criminal Justice System at national level, England and Wales. Source agency: Justice Designation: National Statistics Language: English Alternative title: Criminal Justice System statistics quarterly

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

Law and Order Crime Data

Police procedural TV show dataset

By Gove Allen [source]

About this dataset

Law and Order Dataset

Comprehensive Crime, Legal Proceedings, and Law Enforcement Data from Various Regions

About this Dataset

This dataset is compiled by IMDB.com and provides detailed information about the episodes of the popular television series Law and Order. It is specifically designed to facilitate teaching SQL to collegiate audiences, aiming to enhance students' understanding of database management systems.

The dataset encompasses a broad range of valuable information related to crime statistics, legal proceedings, and law enforcement activities across various regions. With its extensive coverage of episodes from different seasons, this dataset offers a wealth of data for analysis.

Each entry in the dataset contains essential details pertaining to different aspects of law enforcement processes. By exploring this rich collection, users can gain insights into the intricacies involved in solving crimes through systematic investigations, judicial proceedings, courtroom drama, shared responsibilities among departments ranging from police officers to district attorneys.

The data entries are carefully organized into columns that convey distinct pieces of information for ease in data querying. Users can explore parameters such as episode synopsis (plot summary), characters involved with their respective roles (detectives/prosecutors/lawyers/judges), criminal profiles (backgrounds/motives/crimes committed), witness testimonies (eyewitness accounts/expert opinions), forensic evidence evaluations (DNA analysis/fingerprints/ballistics reports), case outcomes (conviction/acquittal/settlement), legal repercussions/penalties imposed on offenders or defendants' defense strategies.

Insights drawn from this highly comprehensive Law and Order dataset can play a crucial role in understanding real-world scenarios encountered within interdependent law enforcement agencies working collaboratively toward justice system goals

How to use the dataset

Understanding the Columns

Before we dive into analyzing the data, let's familiarize ourselves with the columns available in this dataset:

• Episode ID: A unique identifier for each episode of Law and Order.
• Title: The title of each episode.
• Season: The season number of each episode.
• Episode: The episode number within a season.
• Series: The series to which the episode belongs (e.g., Law & Order: Special Victims Unit).
• Airdate: The date when an episode was aired.
• Runtime (mins): The duration in minutes of an episode.
• Guest Stars: Notable guest actors who appeared in an episode.

Exploring Crime Statistics

Crime statistics are vital for understanding patterns, trends, and demographics related to criminal activities. To analyze crime statistics using this dataset, follow these steps:

• Use SQL queries like SELECT or WHERE clauses on columns such as Episode ID, Title, or Airdate to filter specific episodes or date ranges that relate to crimes you want to study.

Example: sql SELECT Title FROM law_and_order_data WHERE Airdate > '2000-01-01';

• Examine different attributes like Season or Episode numbers to identify any trends over time.

Example: sql SELECT Season,COUNT(*) as Total_Episodes FROM law_and_order_data GROUP BY Season;

3 Analyze Guest Stars column with aggregations like COUNT(), UNIQUE() etc., which might help uncover any correlations between prominent actors/actresses featured on the show and crime types.

SELECT Guest_Stars, COUNT(*) as Episodes_Count FROM law_and_order_data GROUP BY Guest_Stars ORDER BY Episodes_Count DESC;

Investigating Legal Proceedings

The legal proceedings depicted in Law and Order episodes provide insights into the criminal justice system. To analyze legal proceedings data using this dataset, follow these steps:

• Use SQL queries with specific filters or WHERE clauses on columns like Airdate or Season to study legal cases within a specific period or season.

Example: sql SELECT Title FROM law_and_order_data WHERE Season = 10 AND Episode = 20;

2

Research Ideas

• Analyzing crime trends: This dataset can be used to analyze crime trends over different episodes and seasons of Law and Order. By examining the types of crimes portrayed in the show, their frequency, and any patterns or fluctuations over time, researcher...

Management information on the performance of the criminal justice system in line with Public Service Agreement (PSA) 24 performance indicators for local criminal justice boards in England & Wales. PSA 24 covers delivery of a more effective, transparent and responsive criminal justice system for victims and the public. Source agency: Justice Designation: Official Statistics not designated as National Statistics Language: English Alternative title: CJS Performance Information

National or state offense totals are based on data from all reporting agencies and estimates for unreported areas. Rates are the number of reported offenses per 100,000 population
Sources: FBI, Uniform Crime Reports, prepared by the National Archive of Criminal Justice Data
Date of download: Sep 18 2013

These criminal justice expenditure and employment (CJEE) data are taken from a special compilation of sources available from the Census Bureau's Annual Surveys of Governments, Finance Statistics and Employment Statistics. Levels of government covered are