Annual Housing Survey, 1975 [United States]: SMSA Files (ICPSR 7976)
Principal Investigator(s): United States Department of Commerce. Bureau of the Census
Summary: This data collection contains information on housing characteristics in 21 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 ... (more info)
Series: American Housing Survey Series
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U.S. Dept. of Commerce, Bureau of the Census. ANNUAL HOUSING SURVEY, 1975 [UNITED STATES]: SMSA FILES. ICPSR version. Washington, DC: U.S. Dept. of Commerce, Bureau of the Census [producer], 197?. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2000. doi:10.3886/ICPSR07976.v1
Persistent URL: http://dx.doi.org/10.3886/ICPSR07976.v1
Scope of Study
Summary: This data collection contains information on housing characteristics in 21 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, real estate taxes, and additions, alterations, or repairs 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.
Subject Terms: home ownership, housing, housing conditions, housing costs, housing occupancy, housing units, income, Metropolitan Statistical Areas, municipal services, neighborhood conditions, property insurance, property taxes, property values, rental housing, relocation, utility rates
Geographic Coverage: Atlanta, California, Chicago, Cincinnati, Colorado, Colorado Springs, Columbus, Connecticut, Florida, Georgia, Hartford, Illinois, Kansas, Kansas City, Louisiana, Madison, Massachusetts, Miami, Milwaukee, Missouri, New Jersey, New Orleans, New York, Newport News, Oakland, Ohio, Oregon, Paterson, Philadelphia, Pennsylvania, Portland (Oregon), Rochester, San Antonio, San Bernardino, San Diego, San Francisco, Springfield, Texas, United States, Virginia, Wisconsin
Date of Collection:
Universe: Housing units in the following 21 SMSAs: Atlanta, Georgia, Chicago, Illinois, Philadelphia, Pennsylvania, San Francisco-Oakland, California, Hartford, Connecticut, Springfield, Massachusetts, Paterson, New Jersey, Rochester, New York, Newport News, Virginia, Miami, Florida, Cincinnati, Ohio, Columbus, Ohio, Milwaukee, Wisconsin, New Orleans, Louisiana, San Antonio, Texas, Kansas City, Missouri, Colorado Springs, Colorado, San Bernardino, California, San Diego, California, Portland, Oregon, and Madison, Wisconsin.
Data Types: survey data
Data Collection Notes:
The codebook is provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.
Sample: Multistage, stratified, probability sample.
Original ICPSR Release: 1984-06-28
- 2006-01-18 File CB7976.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.
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