Chicago Crimes, 2001-2018 (ICPSR 37256)
This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to November 29, 2018. Data are extracted from the Chicago Police Department's Citizen Law Enforcement Analysis and Reporting (CLEAR) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified.
Users with questions about this dataset may contact the Research and Development Division of the Chicago Police Department at [email protected].
Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use.
Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, United States, 2016 (ICPSR 37059)
Data on Dispute Related Violence in a Northeastern City, United States, 2010 to 2012 (ICPSR 36363)
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.
The objective of this project was to enhance understanding of violent disputes by examining the use of aggression to rectify a perceived wrong. It also sought to identify the factors that determine if retaliatory violence occurs within disputes as well as to understand how long retaliatory disputes last, and what factors lead to the termination of such disputes.
This collection includes two SPSS data files: "Dispute_Database_for_NACJD.sav" with 40 variables and 111 cases and "Northeastern_City_Violence_Database_NACJD_submission.sav" with 164 variables and 1,303 cases.
Sequencing Terrorists' Precursor Behaviors: A Crime Specific Analysis, United States, 1980-2012 (ICPSR 36676)
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 identified the temporal dimensions of terrorists' precursor conduct to determine if these behaviors occurred in a logically sequenced pattern, with a particular focus on the identification of sequenced patterns that varied by group type, group size, and incident type. The study specifically focused on how these pre-incident activities were associated with the successful completion or prevention of terrorist incidents and how they differed between categories of terrorism. Data utilized for this study came from the American Terrorism Study (ATS), a database that includes "officially designated" federal terrorism cases from 1980-October 1, 2016, collected for the National Institute of Justice.
The project focused on three major issues related to terrorists' precursor behaviors:
- A subgroup analysis of temporal, crime-specific patterns by group type,
- The nature of the planning process, and
- Factors associated with the outcomes of terrorist incidents (success or failure).
The collection contains 2 SPSS data files, Final_Hypothesis_Data_Set.sav (n=550; 16 variables) and Final_Sequencing_Antecedent_Temporal.sav (n=2354; 16 variables), and 1 plain text file, Recode_Syntax.txt.
Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, United States, 2014 (ICPSR 36399)
Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, United States, 2013 (ICPSR 36117)
Substance Use Among Violently Injured Youth in an Urban Emergency Department: Services and Outcomes in Flint, Michigan, 2009-2013 (ICPSR 36558)
This project was an investigation into the natural course of service needs, use, and trajectories among high-risk youth and young adults with drug use who presented to an inner-city Emergency Department with multiple risk behaviors (with and without acute violent injury). Eligible participants included youth/young adults (ages 14-24) who sought care at the Hurley Medical Center (HMC) Emergency Department (ED) located in Flint, Michigan between December 19, 2009 and September 7, 2011. Consenting youth completed a self-administered computerized screening survey. All participants who self-reported past year drug use were recruited for the longitudinal study. For a comparison group, a randomly selected sample of drug using youth seeking ED care for other reasons (e.g. abdominal pain, motor vehicle crash) were selected for longitudinal study (equilibrated monthly proportionally for age/gender with the acute violent injury group). Participants in the violent injury and comparison group completed a baseline assessment during their ED visit.
Dataset 1 (DS1) contains the Baseline Screener Data of both young adults and youth. This data file has 1,448 cases and 314 variables. Each case represents an individual seeking treatment in the emergency department.
Dataset 2 (DS2) contains the Baseline Youth Data. This data file has 89 cases and 531 variables. Of these 89 cases, 51 of the youths (ages 14-17) presented to the Emergency Department with a violent injury. The remaining 38 respondents reported to the Emergency Department for non-violent injury and are part of the comparison group.
Dataset 3 (DS3) contains the Baseline Young Adult Data. This file contains 511 cases and 483 variables. Of these 511 cases, 299 of the young adults (ages 18-24) presented to the Emergency Department with a violent injury. The remaining 212 respondents reported to the Emergency Department for non-violent injury and are part of the comparison group.
The Baseline Screener Data includes demographics and information about public assistance, income, work, marital status, insurance, the injury visit, school/grades, retaliation attitudes, fights, violence, gang affiliation, weapons, partner violence, nicotine use, alcohol use, drug use, HIV risk-taking behaviors, needle use, sexual behavior, STD/HIV, past adolescent injuries, age on onset of drug use, and current conflict and aggression.
The Baseline Youth and Young Adult Data include sexual behavior, threat of retaliation, brief symptom inventory/suicide risk, drug and alcohol refusal efficacy, drinking and driving (DUI), community involvement, peer influences, non-partner aggression, parental support, parent influence on drug and alcohol use, family conflict, mentors, fight self-efficacy, community violence, sexual risk behaviors, medical care, alcohol dependence/abuse, drug dependence/abuse, substance abuse service utilization, post traumatic stress disorder (PTSD), conduct disorder (youth) or antisocial personality disorder (young adult), legal system involvement, major depressive episodes, and mental health service utilization.
Research on Pathways to Desistance [Maricopa County, AZ and Philadelphia County, PA]: Official Arrest Records, 2000-2010 [Restricted] (ICPSR 34605)
The Pathways to Desistance study was a multi-site study that followed 1,354 serious juvenile offenders from adolescence to young adulthood in two locales between the years 2000 and 2010. Enrolled into the study were adjudicated youths from the juvenile and adult court systems in Maricopa County (Phoenix), Arizona (N=654), and Philadelphia County, Pennsylvania (N=700).
The official arrests records of all 1,354 youth were obtained from multiple sources. For arrest/petitions under the age of 18, this information is based on petitions appearing in the juvenile and adult court records in each site. In Philadelphia, this information was gathered based on a hand review of juvenile and adult court documents; in Phoenix, the information is based on reports from two computerized court tracking systems (JOLTS--Juvenile On-Line Tracking System for juvenile court information, ICIS--Maricopa County Superior Court database for adult court information). For arrests/petitions over 18, FBI arrest records are the source of information. There is no self-reported information contained in this set of data.
Information from these different data sources is consolidated into the following categories:
- Information regarding petitions with a date that falls prior to the baseline interview date ("prior petitions").
- Information regarding the study index petition (also called the "initial referring petition"; this is the adjudication that prompted study enrollment). Information regarding the study index petition can be found by accessing the "type" variable associated with the prior petitions (specific variable name: Official Record Prior PetitionXX: Petition type). Depending on the investigator's needs, this petition can remain combined with the "priors" or be used as a stand-alone petition.
- Information regarding arrests and court petitions with a date which falls after the baseline interview date in the Pathways study ("rearrests").