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Curated

Adaptation Process of Cuban (Mariel) and Haitian Refugees in South Florida, 1983-1987 (ICPSR 9750)

Released/updated on: 2006-03-30

Geographic coverage: United States, Fort Lauderdale, Miami Beach, Hialeah, Florida, Miami

Time period: 1983-01-01--1987-01-01

This survey was designed to examine economic, social, and psychological adaptation of Cuban and Haitian refugees to American society. Cuban (those arriving from the port of Mariel) or Haitian immigrants aged 18 to 60 who arrived in the United States in 1980 or after and settled in designated areas in South Florida were interviewed in 1983 and 1984, with a follow-up interview being conducted in 1986 and 1987. The first interview elicited background information on the two refugee samples and established baseline data on their situations and attitudes shortly after their arrival in the United States. The follow-up interview was designed to gauge changes in respondents' socioeconomic situations, social relations, ethnic identities, and attitudes. Major demographic variables include marital status, number of children, education, present and prior occupations, date and community of birth, prior residency in the United States, and religious practices. Respondents were also asked about their reasons for coming to the United States, plans to change residency, perceptions of discrimination in the United States, and aspirations concerning future occupations, salary, education, and opportunities to reach their goals. The follow-up interview expanded upon or recorded changes in these areas and also added items on perception of problems in the United States, ethnicity of social relationships and neighborhood, satisfaction with living in the United States, plans to return to their homeland, languages spoken, read, and listened to, whether residence was owned or rented, and whether the respondent had become a United States citizen.

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

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 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, 2002: Metropolitan Microdata (ICPSR 4589)

Released/updated on: 2007-07-06

Geographic coverage: North Carolina, Oregon, Milwaukee, Charlotte, United States, Kansas City (Kansas), Santa Ana, Fort Worth, San Diego, Columbus (Ohio), Phoenix, Dallas, Wisconsin, Arizona, Arlington, Buffalo, Anaheim, Fort Lauderdale, California, Kansas, Florida, New York (state), Miami, Texas, Portland (Oregon), Ohio

The metropolitan survey is conducted in even-numbered years, cycling through a set of 41 metropolitan areas, surveying each one about once every six years. This data collection provides information on the characteristics of a metropolitan sample of housing units including apartments, single-family homes, mobile homes, and vacant housing units. The data are presented in eight separate parts: Part 1, Work Done Record (Replacement or Addition to the House), Part 2, Worker Record, Part 3, Mortgages (Owners Only), Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner Record (Renters Only), Part 6, Person Record, Part 7, Ratio Verification, and Part 8, Mover Group Record. Data include year the structure was built, type and number of living quarters, occupancy status, access, number of rooms, presence of commercial establishments on the property, and property value. Additional data focus on kitchen and plumbing facilities, types of heating fuel used, source of water, sewage disposal, heating and air-conditioning equipment, and major additions, alterations, or repairs to the property. Information provided on housing expenses includes monthly mortgage or rent payments, cost of services such as utilities, garbage collection, and property insurance, and amount of real estate taxes paid in the previous year. Also included is information on whether the household received government assistance to help pay heating or cooling costs or for other energy-related services. Similar data are provided for housing units previously occupied by respondents who had recently moved. Additionally, indicators of housing and neighborhood quality are supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, breakdowns of plumbing facilities and equipment, and overall opinion of the structure. For quality of neighborhood, variables include use of exterminator services, existence of boarded-up buildings, and overall quality of the neighborhood. In addition to housing characteristics, some demographic data are provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data provided on the householder include years of school completed, Spanish origin, length of residence, and length of occupancy.

Curated

Differences in the Validity of Self-Reported Drug Use Across Five Factors in Indianapolis, Fort Lauderdale, Phoenix, and Dallas, 1994 (ICPSR 2706)

Released/updated on: 2000-09-11

Geographic coverage: Indiana, United States, Texas, Fort Lauderdale, Phoenix, Florida, Dallas, Arizona, Indianapolis

This study investigated the accuracy of self-reported drug use in three ways. First, the researchers examined differences in the accuracy of self-reported drug use across five factors: gender, race, age, type of drug, and offense seriousness. Second, an attempt was made to determine the specific sources of inaccurate self-reports in terms of differences in underreporting and overreporting. Third, the researchers sought to explain differences in underreporting and overreporting in terms of true differences or differences in opportunity to underreport or overreport. This study used data collected in 1994 as part of the Drug Use Forecasting (DUF) Program [DRUG USE FORECASTING IN 24 CITIES IN THE UNITED STATES, 1987-1997 (ICPSR 9477)]. The DUF drug testing and measurement methodology allows the accuracy of self-reported drug use to be checked with a biological criterion, namely urine tests. The sample for this study consisted of 4,752 white and Black adults from Indianapolis, Ft. Lauderdale, Phoenix, and Dallas. The five exogenous measures included in this study were type of drug (marijuana vs. crack/cocaine), age (18 through 30 vs. 31 or over), offense seriousness (misdemeanor vs. felony), race (Black vs. white), and gender (male vs. female). The endogenous measures were accuracy (self-report and drug test both positive or both negative vs. otherwise), underreporting (self-report negative but drug test positive vs. otherwise), and overreporting (self-report positive but drug test negative vs. otherwise). Variables include result of marijuana urine test, result of cocaine/crack urine test, marijuana self-report, cocaine/crack self-report, age group, sex, race, offense category, and ethnic/gender group.