Showing 1 – 12 of 12 results.
Curated
American Housing Survey, 1987: MSA Core and Supplement File (ICPSR 6131)
Released/updated on: 2006-01-18
Geographic coverage: Seattle, United States, Chicago, California, New Jersey, Washington, New York City, San Diego, Baltimore, Atlanta, Illinois, Texas, Connecticut, Missouri, Columbus (Ohio), Ohio, Hartford, Georgia, St. Louis, Maryland, Houston
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, 1991: MSA Core and Supplement File (ICPSR 6463)
Released/updated on: 2006-01-18
Geographic coverage: Seattle, United States, Chicago, California, New Jersey, Washington, New York City, San Diego, Baltimore, Atlanta, Illinois, Texas, Connecticut, Missouri, Columbus (Ohio), Ohio, Hartford, Georgia, St. Louis, Maryland, Houston
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 or medical 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, information on heating equipment breakdowns, availability of electrical outlets in rooms, concealed wiring, 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, and presence of crime, trash, litter, street noise, abandoned structures, commercial activity, and odors or smoke. Other items cover 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, 1991: MSA Core File (ICPSR 6188)
Released/updated on: 2006-01-18
Geographic coverage: Seattle, United States, Chicago, California, New Jersey, Washington, New York City, San Diego, Baltimore, Atlanta, Illinois, Texas, Connecticut, Missouri, Columbus (Ohio), Ohio, Hartford, Georgia, St. Louis, Maryland, Houston
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 or medical 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, information on heating equipment breakdowns, availability of electrical outlets in rooms, concealed wiring, 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, and presence of crime, trash, litter, street noise, abandoned structures, commercial activity, and odors or smoke. Other items cover 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, 1996: MSA Core and Supplement File (ICPSR 2369)
Released/updated on: 2008-04-04
Geographic coverage: Oklahoma City, Indiana, United States, Oklahoma, Tennessee, Everett, Arkansas, Cleveland, Washington, Elyria, Atlanta, Missouri, Memphis, St. Louis, Sacramento, Seattle, California, Bellevue, Mississippi, Illinois, Lorain, Connecticut, Ohio, Hartford, Georgia, Indianapolis
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 included 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
American Housing Survey [United States], 1987: MSA File (ICPSR 9380)
Released/updated on: 2006-01-12
Geographic coverage: Seattle, United States, Chicago, Columbus (Georgia), California, New Jersey, Washington, New York City, San Diego, Baltimore, Atlanta, Illinois, Texas, Connecticut, Missouri, Ohio, Hartford, Georgia, St. Louis, Maryland, Houston
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. Questions are also asked about 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 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
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, 1977 [United States]: Travel-to-Work [SMSAs] (ICPSR 8322)
Released/updated on: 2006-01-12
Geographic coverage: Detroit, Indiana, Santa Ana, Fort Worth, Spokane, Utah, Memphis, Arizona, Pittsburgh, Seattle, Anaheim, Kentucky, California, Kansas, Florida, Pennsylvania, Troy, Garden Grove, Texas, Newark, Virginia, Maryland, Indianapolis, Madison, United States, Tennessee, Louisville, Arkansas, Washington, Albany (New York), Tacoma, Wichita, Minneapolis, Massachusetts, Phoenix, Salt Lake City, Dallas, Saginaw, Wisconsin, District of Columbia, Schenectady, St. Paul, Minnesota, New York (state), New Jersey, Michigan, Orlando, Long Beach, Los Angeles
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, 1977-1978 [UNITED STATES]: SMSA FILES (ICPSR 7980). 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
RAND Health Insurance Experiment [in Metropolitan and Non-Metropolitan Areas of the United States], 1974-1982 (ICPSR 6439)
Released/updated on: 2005-11-04
Geographic coverage: Charleston (South Carolina), Seattle, United States, Massachusetts, Ohio, Washington, South Carolina, Dayton
Time period: 1974-01-01--1982-01-01
The Health Insurance Experiment (HIE) was conducted from 1974 to 1982 in six sites across the country: Dayton, Ohio, Seattle, Washington, Fitchburg-Leominster and Franklin County, Massachusetts, and Charleston and Georgetown County, South Carolina. These sites represent four census regions (Midwest, West, Northeast, and South), as well as urban and rural areas. The HIE attempted to determine what effects alternative cost-sharing plans and a staff-model Health Maintenance Organization (HMO) had on the use of medical services and individual health outcomes. The main purpose of the experiment was to assess how the cost of health services affected individuals' use of services, their satisfaction with health care, the quality of their care, and the state of their health. To study the effects of health insurance coverage, a comprehensive method for measuring health and monitoring changes in health over time was developed. Health status was seen as having four dimensions: physical, mental, social, and physiological. Physical health focused on five categories of activities: self-care, mobility, exertion, role fulfillment, and leisure pursuits. Mental health focused on mood and anxiety disorders along with loss of control over feelings, thoughts, and behavior. Social health was assessed by the frequency of several kinds of participation, interaction, and resources, covering family and home, social life, and community involvement. Physiologic health was determined by looking at a number of physical disorders both in adults (aged 14 to 61) and children (aged 0 to 13) that would be easily traced over time and would be responsive to changes in the level and quality of medical care. For adults, acne, congestive heart failure, and sleeping pill and tranquilizer use were considered. For children, variables included allergic conditions (asthma, eczema, hay fever), anemia, middle ear disease, hearing impairment, and vision impairment. Also included were general health measures based on single questions about health-related pain and worry, and a rating of health (excellent, good, fair, poor). Health habits described aspects of smoking, consumption of alcohol, weight, height, and exercise.
Curated
Seattle Longitudinal Study (SLS) (ICPSR 158)
Released/updated on: 2006-06-19
Geographic coverage: Seattle, United States, Washington
Begun in 1956, the Seattle Longitudinal Study (SLS) is designed to study various aspects of psychological development during the adult years. The SLS has continued in seven-year intervals since 1956: 1963, 1970, 1977, 1984, 1991, and 1998. At each interval, all persons who had previously participated in the study were asked to participate again, and an additional new group of people are also selected and asked to participate. In addition to the main study, data was collected in 1989-1990 from adult children and siblings of the main study participants in an effort to determine the extent of family similarity in mental abilities and other psychological characteristics. Many of these relatives were studied again in 1996-1997, and in 2002, grandchildren of the main study participants also began to participate, making the SLS a three-generation study of cognitive abilities.