Metadata record for Intercity Variation in Youth Homicide, Robbery, and Assault, 1984-2006 [United States] Inter-university Consortium for Political and Social Research ICPSR metadata records are licensed under a Creative Commons Attribution-Noncommercial 3.0 United States License . 2013-05-25 Intercity Variation in Youth Homicide, Robbery, and Assault, 1984-2006 [United States] 30981 10.3886/ICPSR30981.v1 Strom, Kevin Browne, Angela United States Department of Justice. Office of Justice Programs. National Institute of Justice 2007-IJ-CX-0025 Inter-university Consortium for Political and Social Research 2012-09-20 Strom, Kevin, and Angela Browne. Intercity Variation in Youth Homicide, Robbery, and Assault, 1984-2006 [United States]. ICPSR30981-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2012-09-20. doi:10.3886/ICPSR30981.v1 age assault crime patterns crime statistics drug related crimes firearms gang violence gangs homicide juvenile crime juveniles robbery trends violence violent crime violent crime statistics youths NACJD.XIV ICPSR.XVII.E NACJD.VII The research team collected data on homicide, robbery, and assault offending from 1984-2006 for youth 13 to 24 years of age in 91 of the 100 largest cities in the United States (based on the 1980 Census) from various existing data sources. Data on youth homicide perpetration were acquired from the Supplementary Homicide Reports (SHR) and data on nonlethal youth violence (robbery and assault) were obtained from the Uniform Crime Reports (UCR). Annual homicide, robbery, and assault arrest rates per 100,000 age-specific populations (i.e., 13 to 17 and 18 to 24 year olds) were calculated by year for each city in the study. Data on city characteristics were derived from several sources including the County and City Data Books, SHR, and the Vital Statistics Multiple Cause of Death File. The research team constructed a dataset representing lethal and nonlethal offending at the city level for 91 cities over the 23-year period from 1984 to 2006, resulting in 2,093 city year observations. The purpose of this study was to estimate temporal trends in youth violence rates variation across 91 of the 100 largest cities in the United States from 1984-2006, and to model city-specific explanatory predictors influencing these trends.

In order to estimate trends in homicide offending for youth 13 to 24 years of age in 91 of the 100 largest cities in the United States from 1984-2006, data for youth homicide were acquired from the Supplementary Homicide Report (SHR), a component of the FBI?s Uniform Crime Reporting Program (UCR). Measures of youth arrests for the nonlethal violent crimes of robbery and assault were acquired from UCR city arrest data for the same time period. Annual homicide, robbery, and assault arrest rates per 100,000 age-specific (i.e., 13 to 17 and 18 to 24 year olds) population were calculated by year for each city in the study. Annual homicide rates were calculated through a conventional procedure: annual incidents in a specific city, divided by the age-specific population of that city, multiplied by 100,000. Partial reporting during the time period resulted in dropping 9 cities from the homicide data and 10 cities from the robbery and assault data. Data on city-level characteristics including measures of structural disadvantage, drug market activities, gang presence-activity, and firearm availability were derived from the County and City Data Books, SHR, and the Vital Statistics Multiple Cause of Death File, respectively.

Missing data came from two sources; failure to report in homicide and some of the Census collections, and lack of data for specific years, mainly in Census data, between major data collection points like the Decennial Census and the Mid-decade estimates from Census related sources. Missing data in the homicide measures were addressed using an Iterative Chain equation procedure to conduct Multiple Imputation. Variables from the original source used in the multiple imputation procedure included age of victim, race, ethnicity, gender, seven available measures of homicide circumstances, and city population size. Extrapolation methods were used to adjust for missing data in the robberies and assaults by age, and in the census and economic data sources. To estimate a missing year between two reported values, the missing year was estimated to be mid-way between the two observed years on either side of the missing year. Longer gaps involved further averaging and allocating according to the number of years missing; these estimates amount to maximum likelihood estimates of the missing years or in the case of the robberies and assaults, months as well.

 The study contains a total of 39 variables including city name, year, crime rate variables, and city characteristics variables. Crime rate variables include imputed and non-imputed homicide rate variables for juveniles aged 13 to 17, young adults aged 18 to 24, and adults aged 25 and over. Other crime variables include the number of imputed and non-imputed homicides as well as the robbery rate and assault rate for juveniles and young adults. City characteristics variables include population, poverty rates, percentage of African Americans, percentage of female-headed households, percentage of residents unemployed, percentage of residents receiving public assistance, home-ownership rates, gang presence and activity, and alcohol outlet density. 1984 2006 2007 2010 United States city city-by-year All youth between the ages of 13 to 24 in the 100 most populous central-cities in the United States from 1984 to 2006. aggregate data The initial sample consisted of the 100 largest cities in the United States based on the 1980 Census; however, several cities were dropped due to missing data problems, resulting in a sample of 91 cities for the homicide data and 90 cities for the nonlethal violence data. If a city had 10 or more consecutive years of missing data, the researchers eliminated it from the final dataset. The 91 cities were measured over the course of 23 years from 1984 to 2006, resulting in 2,093 total observations. record abstracts UNIFORM CRIME REPORTS [UNITED STATES]: SUPPLEMENTARY HOMICIDE REPORTS, 1984-2006 [Annual Data Files] UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: ARRESTS BY AGE, SEX, AND RACE, 1984-2006 [Annual Data Files] United States Census of the Population, 1980, 1990, 2000 United States Economic Census, previously known as the Census of Business and Industry, 1982, 1987, 1992, 1997, 2002, 2007 City and County Data Book Series, 1987, 1996, 2006 American Community Survey, 2001-2006 National Center for Health Statistics, Division of Vital Statistics, Multiple Cause of Death file None.

ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

Standardized missing values.Checked for undocumented or out-of-range codes.

Detailed information about the Uniform Crime Reporting Program (UCR), including the Supplementary Homicide Reports (SHR), is available through the Uniform Crime Reporting Program Resources Guide.

 Users should refer to the project's final technical report (Browne and Strom, 2010; NCJ 232622) for additional information on the study methodology, missing data, and imputation procedures. Not applicable. One scale was used: The FAC1_1 "REGRESSION BASED FACTOR SCORE INCLUDING POVERTY AFROAM FEMHH PUBAST UNEMP" variable is a regression based factor score based on a principal components factor analysis of five of the variables. Ann Arbor, Mi.: Inter-university Consortium for Political and Social Research Additional special permissions, where applicable, are described in the restrictions field.

Please read the terms of use below. If you agree to them, click on the "I Agree" button to proceed. If you do not agree, you can click on the "I Do Not Agree" button to return to the home page.

ICPSR adheres to the principles of the Data Seal of Approval , which, in part, require the data consumer to comply with access regulations imposed both by law and by the data repository, and to conform to codes of conduct that are generally accepted in higher education and scientific research for the exchange of knowledge and information.

These data are distributed under the following terms of use, which are governed by ICPSR. By continuing past this point to the data retrieval process, you signify your agreement to comply with the requirements stated below:

Privacy of RESEARCH SUBJECTS

Any intentional identification of a RESEARCH SUBJECT (whether an individual or an organization) or unauthorized disclosure of his or her confidential information violates the PROMISE OF CONFIDENTIALITY given to the providers of the information. Therefore, users of data agree:

To use these datasets solely for research or statistical purposes and not for investigation of specific RESEARCH SUBJECTS, except when identification is authorized in writing by ICPSR (netmail@icpsr.umich.edu )

To make no use of the identity of any RESEARCH SUBJECT discovered inadvertently, and to advise ICPSR of any such discovery (netmail@icpsr.umich.edu )

 Redistribution of Data

You agree not to redistribute data or other materials without the written agreement of ICPSR, unless:

You serve as the OFFICIAL or DESIGNATED REPRESENTATIVE at an ICPSR MEMBER INSTITUTION and are assisting AUTHORIZED USERS with obtaining data, or

You are collaborating with other AUTHORIZED USERS to analyze the data for research or instructional purposes.

When sharing data or other materials in these approved ways, you must include all accompanying files with the data, including terms of use. More information on permission to redistribute data can be found on the ICPSR Web site.

Citing Data

You agree to reference the recommended bibliographic citation in any publication that employs resources provided by ICPSR. Authors of publications based on ICPSR data are required to send citations of their published works to ICPSR for inclusion in a database of related publications (bibliography@icpsr.umich.edu ) .

Disclaimer

You acknowledge that the original collector of the data, ICPSR, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

Violations

If ICPSR determines that the terms of this agreement have been violated, ICPSR will act according to our policy on terms of use violations . Sanctions can include:

ICPSR may revoke the existing agreement, demand the return of the data in question, and deny all future access to ICPSR data.

The violation may be reported to the Research Integrity Officer, Institutional Review Board, or Human Subjects Review Committee of the user's institution. A range of sanctions are available to institutions including revocation of tenure and termination.

If the confidentiality of human subjects has been violated, the case may be reported to the Federal Office for Human Research Protections. This may result in an investigation of the user's institution, which can result in institution-wide sanctions including the suspension of all research grants.

A court may award the payment of damages to any individual(s)/organization(s) harmed by the breach of the agreement.

 Definitions authorized user - A faculty member, staff member, or student at a member institutionICPSR - Inter-university Consortium for Political and Social Researchmember institution - An institutional member of ICPSROfficial/Designated Representative - An individual appointed to represent a university's interests in ICPSR. This individual is also charged with providing user support to campus users. promise of confidentiality - A promise to a respondent or research participant that the information the respondent provides will not be disseminated without the permission of the respondent; that the fact that the respondent participated in the study will not be disclosed; and that disseminated information will include no linkages to the identity of the respondent. Such a promise encompasses traditional notions of both confidentiality and anonymity. Names and other identifying information regarding respondents, proxies, or other persons on whom the respondent or proxy provides information, are presumed to be confidential.research subject - A person or organization observed for purposes of research. Also called a respondent. A respondent is generally a survey respondent or informant, experimental or observational subject, focus group participant, or any other person providing information to a study or on whose behalf a proxy provides information.

In addition, the National Archive of Criminal Justice Data stipulates the following conditions:

Federal law and regulations require that research data collected by the U.S. Department of Justice or by its grantees and contractors may only be used for research or statistical purposes. The applicable laws and regulations may be found in the United States Code, 42 USC Section 3789g(a), the Code of Federal Regulations, 28 CFR 22, and 62 F.R. 35044 (June 27, 1997) (The Federal Confidentiality Order). Accordingly, any intentional identification or disclosure of a person or establishment may violate federal law as well as the assurances of confidentiality given to the providers of the information. Therefore, users of data collected by or with the support from the U.S. Department of Justice and distributed by NACJD or other ICPSR archives must agree to abide by these regulations and understand that ICPSR may report any potential violation to the U.S. Department of Justice.

AVAILABLE. This study is freely available to the general public.

 The original collector of the data, ICPSR, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.