Showing 1 – 11 of 11 results.
Curated
Age Cohort Arrest Rates, 1970-1980 (ICPSR 8261)
Released/updated on: 2006-01-12
Geographic coverage: United States, Chicago, Tennessee, Tucson, California, Spokane, Washington, San Jose, Knoxville, Atlanta, Illinois, Colorado, Denver, Georgia, Arizona
Time period: 1970-01-01--1980-01-01
The data for this collection were gathered from the 1970 and 1980 Censuses and the Uniform Crime Reports for 1970 through 1980. The unit of analysis in this data collection is cities. Included are population totals by age group and arrest data for selected crimes by age group for Atlanta, Georgia, Chicago, Illinois, Denver, Colorado, Knoxville, Tennessee, San Jose, California, Spokane, Washington, and Tucson, Arizona. Population data by sex and age for all cities are contained in Part 4. The 123 variables provide data by age categories ranging from age 5 to age 69. Part 1, the arrest file for Atlanta and Chicago, provides arrest data for 1970 to 1980 by sex and age, ranging from age 10 and under to age 65 and over. The arrest data for other cities span two data files. Part 2 includes arrest data by sex for ages 15 to 24 for the years 1970 to 1980. Part 3 provides arrest data for ages 25 to 65 and over for the years 1970, 1975, and 1980. Arrest data are collected for the following crimes: murder, forcible rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, other assaults, arson, forgery, fraud, embezzlement, stolen property, vandalism, weapons, prostitution, other sex offenses, opium abuse, marijuana abuse, gambling, family offenses, drunk driving, liquor law violations, drunkenness, disorderly conduct, vagrancy, and all other offenses combined.
Curated
American Housing Survey, 1986: MSA Core and Supplement File (ICPSR 6129)
Released/updated on: 2006-01-18
Geographic coverage: Oregon, Indiana, United States, Santa Ana, Cincinnati, Washington, Colorado, Missouri, New Orleans, Denver, Pittsburgh, San Bernardino, San Antonio, Anaheim, Fort Lauderdale, Kentucky, Rochester (New York), Kansas City (Missouri), California, Kansas, Florida, New York (state), Pennsylvania, Miami, Texas, Portland (Oregon), Louisiana, Ohio, Riverside
This data collection provides information on characteristics of housing units in 11 selected Metropolitan Statistical Areas (MSAs) of the United States. Although the unit of analysis is the housing unit rather than its occupants, the survey also is a comprehensive source of information on the demographic characteristics of household residents. Data collected include general housing characteristics, such as the year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, and property value. Data are also provided on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air-conditioning equipment. Questions about housing quality include condition of walls and floors, adequacy of heat in winter, availability of electrical outlets in rooms, basement and roof water leakage, and exterminator service for mice and rats. Data related to housing expenses include mortgage or rent payments, utility costs, fuel costs, property insurance costs, real estate taxes, and garbage collection fees. Variables are also supplied on neighborhood conditions, such as quality of roads and presence of crime, trash, litter, street noise, abandoned structures, commercial activity, and odors or smoke. Other items cover the adequacy of neighborhood services, including public transportation, schools, shopping facilities, police protection, recreation facilities, and hospitals or clinics. In addition to housing characteristics, data on age, sex, race, marital status, income, and relationship to householder are provided for each household member. Additional data are supplied for the householder, including years of school completed, Spanish origin, and length of residence.
Curated
American Housing Survey, 1986: MSA File (ICPSR 9334)
Released/updated on: 2006-01-12
Geographic coverage: Oregon, Indiana, United States, Santa Ana, Cincinnati, Washington, Colorado, Missouri, New Orleans, Denver, Pittsburgh, San Bernardino, San Antonio, Anaheim, Fort Lauderdale, Kentucky, Rochester (New York), Kansas City (Missouri), California, Kansas, Florida, New York (state), Pennsylvania, Miami, Texas, Portland (Oregon), Louisiana, Ohio, Riverside
This data collection provides information on characteristics of housing units in 11 selected Metropolitan Statistical Areas (MSAs). Although the unit of analysis is the housing unit rather than its occupants, the survey also is a comprehensive source of information on the demographic characteristics of household residents. Data collected include general housing characteristics such as the year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, and property value. Data are also provided on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air- conditioning equipment. Questions about housing quality include condition of walls and floors, adequacy of heat in winter, availability of electrical outlets in rooms, basement and roof water leakage, and exterminator service for mice and rats. Data related to housing expenses include mortgage or rent payments, utility costs, fuel costs, property insurance costs, real estate taxes, and garbage collection fees. Questions are also asked about neighborhood conditions such as quality of roads, presence of crime, trash, litter, street noise, abandoned structures, commercial activity, and odors or smoke, as well as about the adequacy of such services as public transportation, schools, shopping facilities, police protection, recreation facilities, and hospitals or clinics. In addition to housing characteristics, data on age, sex, race, marital status, income, and relationship to householder are provided for each household member. Additional data are supplied for the householder, including years of school completed, Spanish origin, and length of residence.
Curated
American Housing Survey, 1990: MSA Core and Supplement File (ICPSR 6462)
Released/updated on: 2006-01-12
Geographic coverage: Indiana, United States, Santa Ana, Cincinnati, Washington, Colorado, Missouri, New Orleans, Denver, Pittsburgh, San Bernardino, San Antonio, Anaheim, Fort Lauderdale, Kentucky, Rochester (New York), Kansas City (Missouri), California, Kansas, Florida, New York (state), Pennsylvania, Miami, Texas, Portland (Oregon), Louisiana, Ohio
This data collection provides information on characteristics of housing units in 11 selected Metropolitan Statistical Areas (MSAs) of the United States. Although the unit of analysis is the housing unit rather than its occupants, the survey also is a comprehensive source of information on the demographic characteristics of household residents. Data collected include general housing characteristics such as the year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, and property value. Data are also provided on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air-conditioning equipment. Questions about housing quality include condition of walls and floors, adequacy of heat in winter, availability of electrical outlets in rooms, basement and roof water leakage, and exterminator service for mice and rats. Data related to housing expenses include mortgage or rent payments, utility costs, fuel costs, property insurance costs, real estate taxes, and garbage collection fees. Variables are also supplied on neighborhood conditions such as quality of roads and presence of crime, trash, litter, street noise, abandoned structures, commercial activity, and odors or smoke, as well as the adequacy of services such as public transportation, schools, shopping facilities, police protection, recreation facilities, and hospitals or clinics. In addition to housing characteristics, data on age, sex, race, marital status, income, and relationship to householder are provided for each household member. Additional data are supplied for the householder, including years of school completed, Spanish origin, and length of residence.
Curated
American Housing Survey, 1990: MSA Core Questions File (ICPSR 6003)
Released/updated on: 2006-01-18
Geographic coverage: Indiana, United States, Santa Ana, Cincinnati, Washington, Colorado, Missouri, New Orleans, Denver, Pittsburgh, San Bernardino, San Antonio, Anaheim, Fort Lauderdale, Kentucky, Rochester (New York), Kansas City (Missouri), California, Kansas, Florida, New York (state), Pennsylvania, Miami, Texas, Portland (Oregon), Louisiana, Ohio
This data collection provides information on characteristics of housing units in 11 selected Metropolitan Statistical Areas (MSAs) of the United States. Although the unit of analysis is the housing unit rather than its occupants, the survey also is a comprehensive source of information on the demographic characteristics of household residents. Data collected include general housing characteristics such as the year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, and property value. Data are also provided on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air-conditioning equipment. Questions about housing quality include condition of walls and floors, adequacy of heat in winter, availability of electrical outlets in rooms, basement and roof water leakage, and exterminator service for mice and rats. Data related to housing expenses include mortgage or rent payments, utility costs, fuel costs, property insurance costs, real estate taxes, and garbage collection fees. Variables are also supplied on neighborhood conditions such as quality of roads, presence of crime, trash, litter, street noise, abandoned structures, commercial activity, and odors or smoke, and the adequacy of services such as public transportation, schools, shopping facilities, police protection, recreation facilities, and hospitals or clinics. In addition to housing characteristics, data on age, sex, race, marital status, income, and relationship to householder are provided for each household member. Additional data are supplied for the householder, including years of school completed, Spanish origin, and length of residence.
Curated
American Housing Survey, 1995: MSA Core and Supplement File (ICPSR 2368)
Released/updated on: 2002-04-04
Geographic coverage: North Carolina, Oregon, Charlotte, Vancouver, San Antonio, United States, Kansas City (Kansas), Kansas, Florida, Washington, South Carolina, Rock Hill, Pennsylvania, Miami, Gastonia, Texas, Colorado, Portland (Oregon), Columbus (Ohio), Louisiana, New Orleans, Ohio, Denver, Pittsburgh
This data collection provides information on the characteristics of the housing inventory in nine selected metropolitan statistical areas (MSAs). Data include year the structure was built, type and number of living quarters, occupancy status, presence of commercial or medical establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air conditioning equipment. Data concerned with housing quality describe the condition of the walls and floors, adequacy of heat in the winter, information on heating equipment breakdowns, availability of room electrical outlets, concealed wiring, and basement and roof water leakage. Data relating to housing expenses include mortgage or monthly rent payments, utility costs, and fuel and garbage collection fees. Information solicited from respondents who moved recently includes the characteristics of the previous unit and reasons for moving. Other data indicate the presence of, and objection to, neighborhood conditions such as street noise, crime, litter, commercial activity, and institutional industrial activity, as well as the availability of public transportation, schools, shopping facilities, police, and hospitals. Information on condominiums covers amount and frequency of mortgage payment, amount of property insurance, real estate tax, utility costs, and condominium fees. In addition to housing characteristics, data for each household member are available on age, sex, race, marital status, income, and relationship to householder. Additional data on years of school completed, Spanish origin, length of residence, and tenure are provided for the householder. Income sources identified in the data include wages, rent, dividends, Social Security, unemployment and workmen's compensation, government and private pensions, and alimony and child support.
Curated
Annual Housing Survey, 1976 [United States]: SMSA Files (ICPSR 7983)
Released/updated on: 2006-01-12
Geographic coverage: North Carolina, Oklahoma City, Indiana, United States, Oklahoma, Grand Rapids, Louisville, Alabama, Cleveland, Washington, Nebraska, New York City, Omaha, Colorado, Honolulu, Missouri, Denver, St. Louis, Las Vegas, Buffalo, Nevada, Rhode Island, Allentown, Sacramento, Providence, Seattle, Raleigh, Kentucky, Hawaii, California, New York (state), Birmingham, Michigan, Pennsylvania, Baltimore, Texas, Ohio, Maryland, Houston, Indianapolis
This data collection provides information on the characteristics of the housing inventory in 20 Standard Metropolitan Statistical Areas (SMSAs). Data include year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, presence of a garage, and property value. Additional data focus on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air conditioning equipment. Information about housing expenses includes mortgage or rent payments, utility costs, garbage collection fees, property insurance, and real estate taxes as well as repairs, additions, or alterations to the property. Similar data are provided for housing units previously occupied by respondents who had recently moved. Indicators of housing and neighborhood quality are also supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, presence of cracks or holes in walls, ceilings, or floor, reliability of plumbing and heating equipment, and concealed electrical wiring. The presence of storm doors and windows and insulation was also noted. Neighborhood quality variables indicate presence of and objection to street noise, odors, crime, litter, and rundown and abandoned structures, as well as the adequacy of street lighting, public transportation, public parks, schools, shopping facilities, and police and fire protection. In addition to housing characteristics, demographic data for household members are provided, including sex, age, race, income, marital status, and household relationship. Additional data are available for the household head, including Hispanic origin, length of residence, and travel-to-work information.
Curated
Annual Housing Survey, 1976 [United States]: Travel-to-Work [SMSAs] (ICPSR 8136)
Released/updated on: 2006-01-12
Geographic coverage: North Carolina, Oklahoma City, Indiana, United States, Oklahoma, Grand Rapids, Louisville, Alabama, Cleveland, Washington, Nebraska, New York City, Omaha, Massachusetts, Colorado, Honolulu, Missouri, Denver, St. Louis, Las Vegas, Buffalo, Nevada, Rhode Island, Allentown, Sacramento, Providence, Seattle, Raleigh, Kentucky, Hawaii, California, New York (state), Birmingham, New Jersey, Michigan, Pennsylvania, Iowa, Baltimore, Illinois, Texas, Maryland, Houston, Indianapolis
This data collection provides travel-to-work data for respondents living in 20 Standard Metropolitan Statistical Areas (SMSAs). Data cover respondents' means of transportation to and from work -- whether they carpooled, drove alone, took public transportation, or used some other means. Also included is respondents' place of work and time they usually left home for work. The data contained in this collection are from the travel-to-work supplement in ANNUAL HOUSING SURVEY, 1976 [UNITED STATES]: SMSA FILES (ICPSR 7983). The travel-to-work supplement was sponsored by the United States Department of Transportation. The collection consists of 20 data files, one for each SMSA represented.
Curated
Annual Housing Survey, 1979 [United States]: SMSA Files (ICPSR 8264)
Released/updated on: 2008-08-22
Geographic coverage: North Carolina, Oregon, Milwaukee, United States, Grand Rapids, Cleveland, Washington, Nebraska, Omaha, Colorado, Honolulu, Denver, Wisconsin, Las Vegas, Buffalo, Nevada, Seattle, Raleigh, Chicago, Hawaii, Florida, New York (state), Miami, Baltimore, Illinois, Texas, Connecticut, Portland (Oregon), Ohio, Hartford, Maryland, Houston
This data collection provides information on the characteristics of the housing inventory in 15 Standard Metropolitan Statistical Areas (SMSAs). Data include year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, presence of a garage, and property value. Additional data focus on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air conditioning equipment. Information about housing expenses includes mortgage or rent payments, utility costs, garbage collection fees, property insurance, and real estate taxes as well as repairs, additions, or alterations to the property. Similar data are provided for housing units previously occupied by respondents who had recently moved. Indicators of housing and neighborhood quality are also supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, presence of cracks or holes in walls, ceilings, or floor, reliability of plumbing and heating equipment, and concealed electrical wiring. The presence of storm doors and windows and insulation was also noted. Neighborhood quality variables indicate presence of and objection to street noise, odors, crime, litter, and rundown and abandoned structures, as well as the adequacy of street lighting, public transportation, public parks, schools, shopping facilities, and police and fire protection. Extensive information on the ability of handicapped persons to move around their homes is also provided. Respondents were asked if they needed special equipment, or the help of another person to move around. They were also asked about the presence or need for housing features to aid their movement, such as ramps, braille lettering, elevators, and extra wide doors. In addition to housing characteristics, demographic data for household members are provided, including sex, age, race, income, marital status, and household relationship. Additional data are available for the household head, including Hispanic origin, length of residence, and travel-to-work information.
Curated
Annual Housing Survey, 1983 [United States]: SMSA Files (ICPSR 8420)
Released/updated on: 2007-12-05
Geographic coverage: Indiana, United States, Everett, Louisville, Washington, New York City, Colorado, Honolulu, Missouri, Denver, St. Louis, Sacramento, Seattle, Chicago, Kentucky, Hawaii, California, Florida, New York (state), Michigan, Miami, Baltimore, Illinois, Texas, Connecticut, Portland (Oregon), Hartford, Maryland, Houston
This data collection provides information on the characteristics of the housing inventory in 13 Standard Metropolitan Statistical Areas (SMSAs). Data include year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, presence of a garage, and property value. Additional data focus on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air conditioning equipment. Information about housing expenses includes mortgage or rent payments, utility costs, garbage collection fees, property insurance, and real estate taxes as well as repairs, additions, or alterations to the property. Similar data are provided for housing units previously occupied by respondents who had recently moved. Indicators of housing and neighborhood quality are also supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, presence of cracks or holes in walls, ceilings, or floor, reliability of plumbing and heating equipment, and concealed electrical wiring. The presence of storm doors and windows and insulation was also noted. Neighborhood quality variables indicate presence of and objection to street noise, odors, crime, litter, and rundown and abandoned structures, as well as the adequacy of street lighting, public transportation, public parks, schools, shopping facilities, and police and fire protection. Extra information is provided on mobile homes and condominiums including mortgage payments, purchase price, and real estate taxes. In addition to housing characteristics, demographic data for household members are provided, including sex, age, race, income, marital status, and household relationship. Additional data are available for the household head, including Hispanic origin, length of residence, and travel-to-work information.
Curated
Restricted
The Impact of a Forensic Collaborative for Older Adults on Criminal Justice and Victim Outcomes: A Randomized-Control, Longitudinal Design, Denver, Colorado, 2014-2018 (ICPSR 37167)
Released/updated on: 2020-07-30
Geographic coverage: United States, Colorado, Denver
Time period: 2014-01-01--2018-01-01
Initially funded in 2013 by the National Institute of Justice, the primary purpose of this project was to conduct a randomized-control test of the impact of a victim-focused, forensic collaborative relative to usual care (UC) on older adult victims' health, mental health, and criminal justice outcomes. During the course of the project, researchers responded to enrollment and consent challenges by implementing Arm 2 that focused on collecting caseworker and victim advocate perceptions of cases as well as administrative data from Adult Protective Services (APS).
This collection contains 6 datasets:
- Arm 1 (DS1) contains survey results from victim-focused interviews of 40 older adults who were reported to be victims of abuse, neglect, and/or financial exploitation over 4 time points. Variables describe victim and case characteristics, service use/needs, risk factors for abuse, consequences of abuse and exploitation, and criminal justice process and outcomes.
- Arm 2 (DS2) includes a survey of APS caseworkers reporting on a case of older adult abuse, such as client (older adult victim) and perpetrator demographics, mistreatment details (verbal abuse, physical abuse, sexual abuse, neglect, financial exploitation, and/or housing exploitation), and service use.
- Collateral assessments (DS3) surveyed a trusted individual related to the older adult respondent in Arm 1. This included data on the perceptions of the older adult's functioning and use of services; and the quality of decision-making procedures, desired treatment, and outcomes in the criminal justice system. Of the 40 Arm 1 participants interviewed, 33 gave collateral contact information. Of those 33, 16 could not be reached, one failed the consent quiz, and two declined to participate. Of the 14 who participated in an initial interview, only three participated at the follow-up nine months later.
- Revictimization and Prosecutorial Outcome Data (DS5) includes information on new incidents reported to law enforcement over the nine months following the original incident report and prosecution outcomes, gathered from publicly-accessible police reports and court information for Arm 1 and Arm 2 cases.
- APS administrative data (DS6), such as the demographics of the older adult victim and the primary perpetrator, assessment scores for risk and safety, the alleged mistreatment type, whether mistreatment was substantiated, and APS case status. The data included overall risk/safety scores and summary scores for the domains of physical functioning, environmental context, financial resources, mental health, cognition, medical issues, and mistreatment.
Arm 1 demographic variables includes age, gender, education, employment status, marital status, household size, ethnic minority, and income source. Arm 2 surveys reported ethnicity, gender, age, education, marital status, and employment status; APS data reported age and gender.