Showing 1 – 3 of 3 results.
Curated
Annual Housing Survey, 1978 [United States]: SMSA File (ICPSR 9017)
Released/updated on: 2008-08-22
Geographic coverage: Holyoke, Newport News, Indiana, United States, Kansas City (Kansas), Cincinnati, Oakland, San Diego, Atlanta, Massachusetts, Colorado, Missouri, Columbus (Ohio), New Orleans, Springfield (Massachusetts), San Bernardino, San Antonio, Kentucky, Rochester (New York), Passaic, Clifton, Chicopee, California, Kansas, Hampton, New York (state), New Jersey, Pennsylvania, San Francisco, Paterson, Texas, Connecticut, Louisiana, Ohio, Ontario (California), Georgia, Virginia, Colorado Springs, Philadelphia, Riverside
This data collection contains data focusing on housing characteristics from 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 information is provided on the presence of and objection to noise, traffic, odors, trash and litter, abandoned structures, rundown housing, commercial or industrial activity, and the adequacy of services, including public transportation, schools, shopping, 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, 1982 [United States]: SMSA Files (ICPSR 8310)
Released/updated on: 2008-09-03
Geographic coverage: Oregon, Milwaukee, Madison, Newport News, Indiana, United States, Kansas City (Kansas), Cincinnati, Oakland, San Diego, Atlanta, Massachusetts, Colorado, Missouri, Columbus (Ohio), New Orleans, Springfield (Massachusetts), Wisconsin, San Bernardino, San Antonio, Chicago, Kentucky, Rochester (New York), Passaic, Clifton, California, Kansas, Florida, New York (state), New Jersey, Pennsylvania, Miami, San Francisco, Paterson, Illinois, Texas, Connecticut, Portland (Oregon), Louisiana, Ohio, Ontario (California), Hartford, Georgia, Virginia, Colorado Springs, Philadelphia, Riverside
This data collection provides information on the characteristics of the housing inventory in 12 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
Comparative Study of Community Decision-Making (ICPSR 25)
Released/updated on: 2008-03-25
Geographic coverage: North Carolina, Milwaukee, Akron, Charlotte, Indiana, Santa Ana, Berkeley, Fort Worth, Utica, Tyler, Cambridge, Utah, San Jose, Memphis, Jacksonville, Arizona, Buffalo, Boston, Pittsburgh, Seattle, St. Petersburg, Clifton, California, Florida, Pennsylvania, Waukegan, Hammond, Texas, Connecticut, Newark, Georgia, Malden, Tampa, Indianapolis, Duluth, United States, Tennessee, Euclid, Alabama, Pasadena, Albany (New York), Warren, Amarillo, Minneapolis, Atlanta, Massachusetts, Washington (state), Missouri, Hamilton, Phoenix, Salt Lake City, St. Louis, Wisconsin, Gary, Schenectady, Waterbury, Fullerton, St. Paul, Bloomington, Minnesota, Irvington, New York (state), Birmingham, New Jersey, Michigan, San Francisco, Santa Monica, Palo Alto, Long Beach, New Hampshire, Manchester, Ohio, South Bend, Waco
This study contains data for 51 communities with populations of 50,000-750,000 in 22 states of the United States on the characteristics of community leadership, decision-making, and patterns of influence, as well as political, economic, and demographic composition of the communities and per capita expenditures for various common community functions. Information regarding general political and public policy issues, specific municipal problems, and their solutions was obtained from interviews with eight prominent individuals in each city, such as the Chamber of Commerce president, a labor leader, a leading newspaper editor or publisher, the chairmen of the Democratic and Republican parties, the president of the largest bank, and the mayor. Data are also provided on the characteristics of the cities, including composite indexes created from the interview data as well as data from other sources. The study is composed of three files: a Merged Aggregate and Individual file (Part 1), an Aggregate file (Part 2), and an Individual file (Part 3). The Merged Aggregate and Individual file (Part 1) contains the responses of the individuals interviewed and information on the characteristics of each respondent's city from other sources. Items include education, health, culture, welfare, and total expenditures of the city. The Aggregate file (Part 2) contains information on the population characteristics of each city, as well as information on the structure, income, and expenditures of the city government. Demographic indices describe age and income distribution of the population, racial composition, level of educational attainment, and the size, income and occupational distribution of the labor force. The Individual file (Part 3) provides information received from respondents on decision-making pertaining to issues of urban renewal, mayoral elections, air pollution control, race relations, health, education, industrial and economic development, and anti-poverty programs.