Showing 1 – 6 of 6 results.
Curated
Commercial Victimization Surveys, 1972-1975 [United States]: Cities Sample (ICPSR 8002)
Released/updated on: 2006-01-12
Geographic coverage: Oregon, Milwaukee, Detroit, United States, Cincinnati, Oakland, Cleveland, New York City, San Diego, Minneapolis, Atlanta, Massachusetts, Colorado, Missouri, New Orleans, Denver, Dallas, St. Louis, Wisconsin, Buffalo, Boston, Pittsburgh, District of Columbia, Chicago, Minnesota, California, Florida, New York (state), New Jersey, Michigan, Pennsylvania, Miami, San Francisco, Baltimore, Illinois, Texas, Portland (Oregon), Louisiana, Ohio, Los Angeles, Newark, Georgia, Maryland, Philadelphia, Houston
Time period: 1972-01-01--1975-01-01
The National Crime Surveys, of which these Commercial Victimization Surveys are a part, were conducted to obtain current and reliable measures of serious crime in the United States. The Commercial Victimization Surveys are restricted to coverage of burglary and robbery incidents. They include all types of commercial establishments as well as political, cultural, and religious organizations. The survey includes a series of questions about the business, e.g., type and size, form of ownership, insurance, security, and break-in and robbery characteristics. Time and place, weapon, injury, entry evidence, offender characteristics, and stolen property data were collected for each of the incidents. Data on both victimized and nonvictimized establishments in 26 different cities were collected during 1972, 1973, and 1974. In the 1975 survey, data from the 13 cities surveyed during 1972 and 1973 were collected again.
Curated
Controlling Fraud in Small Business Health Benefits Programs in the United States, 1990-1996 (ICPSR 2627)
Released/updated on: 1999-06-16
Geographic coverage: United States
Time period: 1990-01-01--1996-01-01
The focus of this project was insider fraud -- crimes committed by the owners and operators of insurance companies that were established for the purposes of defrauding businesses and employees. The quantitative data for this collection were taken from a database maintained by the National Association of Insurance Commissioners (NAIC), an organization that represents state insurance departments collectively and acts as a clearinghouse for information obtained from individual departments. Created in 1988, the Regulatory Information Retrieval System (RIRS) database contains information on actions taken by state insurance departments against individuals and firms, including cease and desist orders, license revocations, fines, and penalties imposed. Data available for this project include a total of 123 actions taken against firms labeled as Multiple Employer Welfare Arrangements or Multiple Employer Trusts (MEWA/MET) in the RIRS database. Variables available in this data collection include the date action was taken, state where action was taken, dollar amount of the penalty imposed in the action, and disposition for action taken.
Curated
Crime-Induced Business Relocations in the Austin [Texas] Metropolitan Area, 1995-1996 (ICPSR 3078)
Released/updated on: 2006-03-30
Geographic coverage: United States, Texas, Austin
Time period: 1995-01-01--1996-01-01
There were three key objectives to this study: (1) to determine the relative importance of crime-related as well as business-related factors in business relocation decisions, including business ownership, type of business, and business size, (2) to ascertain how businesses respond to crime and fear of crime, such as by moving, adding more security, requesting police protection, or cooperating with other businesses, and (3) to identify the types of crime prevention measures and assistance that businesses currently need and to assess the roles of business associations and police departments in providing enhanced crime prevention assistance. From November 1995 through February 1996 a mail survey was distributed to a sample of three different groups of businesses in Austin's 14 highest crime ZIP codes. The groups consisted of: (1) businesses that remained within the same ZIP code between 1990 and 1993, (2) new firms that either moved into a high-crime ZIP code area between 1990 and 1993 or were created in a high-crime ZIP code between 1990 and 1993, and (3) businesses that relocated from high-crime ZIP code areas to other locations in Austin's metropolitan area or elsewhere in Texas. Variables include type of business, ownership of business, number of employees, reasons for moving or staying in neighborhood, types of crime that affected business, owner's response to business crime, customer safety, and the role of business associations and the police in preventing crime.
Curated
Restricted
Data on Crime, Supervision, and Economic Change in the Greater Washington, DC Area, 2000 - 2014 (ICPSR 36366)
Released/updated on: 2018-02-14
Geographic coverage: District of Columbia, United States, Virginia, Maryland
Time period: 2000-01-01--2014-01-01
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 study includes data collected with the purpose of creating an integrated dataset that would allow researchers to address significant, policy-relevant gaps in the literature--those that are best answered with cross-jurisdictional data representing a wide array of economic and social factors. The research addressed five research questions:
- What is the impact of gentrification and suburban diversification on crime within and across jurisdictional boundaries?
- How does crime cluster along and around transportation networks and hubs in relation to other characteristics of the social and physical environment?
- What is the distribution of criminal justice-supervised populations in relation to services they must access to fulfill their conditions of supervision?
- What are the relationships among offenders, victims, and crimes across jurisdictional boundaries?
- What is the increased predictive power of simulation models that employ cross-jurisdictional data?
Curated
Illegal Corporate Behavior, 1975-1976 (ICPSR 7855)
Released/updated on: 1992-02-16
Geographic coverage: United States
Time period: 1975-01-01--1976-01-01
This study represents the first large-scale comprehensive investigation of corporate violations of law. It examines the extent and nature of these illegal activities, the internal corporate structure and the economic setting in which the violations occurred.
Curated
Impact of Neighborhood Structure, Crime, and Physical Deterioration on Residents and Business Personnel in Minneapolis-St.Paul, 1970-1982 (ICPSR 2371)
Released/updated on: 2006-01-18
Geographic coverage: Minneapolis, United States, St. Paul, Minnesota
Time period: 1970-01-01--1982-01-01
This study is a secondary analysis of CRIME, FEAR, AND CONTROL IN NEIGHBORHOOD COMMERCIAL CENTERS: MINNEAPOLIS AND ST. PAUL, 1970-1982 (ICPSR 8167), which was designed to explore the relationship between small commercial centers and their surrounding neighborhoods. Some variables from the original study were recoded and new variables were created in order to examine the impact of community structure, crime, physical deterioration, and other signs of incivility on residents' and merchants' cognitive and emotional responses to disorder. This revised collection sought to measure separately the contextual and individual determinants of commitment to locale, informal social control, responses to crime, and fear of crime. Contextual determinants included housing, business, and neighborhood characteristics, as well as crime data on robbery, burglary, assault, rape, personal theft, and shoplifting and measures of pedestrian activity in the commercial centers. Individual variables were constructed from interviews with business leaders and surveys of residents to measure victimization, fear of crime, and attitudes toward businesses and neighborhoods. Part 1, Area Data, contains housing, neighborhood, and resident characteristics. Variables include the age and value of homes, types of businesses, amount of litter and graffiti, traffic patterns, demographics of residents such as race and marital status from the 1970 and 1980 Censuses, and crime data. Many of the variables are Z-scores. Part 2, Pedestrian Activity Data, describes pedestrians in the small commercial centers and their activities on the day of observation. Variables include primary activity, business establishment visited, and demographics such as age, sex, and race of the pedestrians. Part 3, Business Interview Data, includes employment, business, neighborhood, and attitudinal information. Variables include type of business, length of employment, number of employees, location, hours, operating costs, quality of neighborhood, transportation, crime, labor supply, views about police, experiences with victimization, fear of strangers, and security measures. Part 4, Resident Survey Data, includes measures of commitment to the neighborhood, fear of crime, attitudes toward local businesses, perceived neighborhood incivilities, and police contact. There are also demographic variables, such as sex, ethnicity, age, employment, education, and income.