Showing 1 – 14 of 14 results.
Curated
American Housing Survey, 1984: MSA File (ICPSR 9092)
Released/updated on: 2006-01-18
Geographic coverage: Milwaukee, Oklahoma City, Indiana, United States, Oklahoma, Tennessee, Alabama, Arkansas, Cleveland, Utah, San Jose, Massachusetts, Salt Lake City, Memphis, Wisconsin, Buffalo, Rhode Island, Providence, California, New York (state), Birmingham, Mississippi, Ohio, Virginia, Indianapolis, Norfolk
This data collection contains information from samples of housing units in 11 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. Questions concerning quality of housing include condition of walls and floors, adequacy of heat in winter, availability of electrical outlets, basement and roof water leakage, and exterminator service for mice or rats. Data on housing expenses include amount of mortgage or rent payments and costs of utilities, fuel, garbage collection, property insurance, and real estate taxes. Respondents who had moved recently were questioned about characteristics of the previous residence and reasons for moving. Residents were also asked to evaluate the quality of their neighborhoods with respect to such issues as crime, street noise, quality of roads, commercial activities, presence of trash, litter, abandoned structures or offensive odors, and adequacy of services such as police protection, shopping facilities, and schools. In addition to housing characteristics, some demographic information is provided on household members, such as age, sex, race, marital status, income, and relationship to householder. Additional data are available on the householder, including years of school completed, Spanish origin, and length of residence.
Curated
American Housing Survey, 1988: MSA Core and Supplement File (ICPSR 6130)
Released/updated on: 2006-01-18
Geographic coverage: Milwaukee, Oklahoma City, Indiana, United States, Oklahoma, Tennessee, Alabama, Arkansas, Cleveland, Utah, San Jose, Massachusetts, Salt Lake City, Memphis, Wisconsin, Buffalo, Rhode Island, Providence, California, New York (state), Birmingham, Mississippi, Ohio, Virginia, Indianapolis, Norfolk
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, 1988: MSA Core Questions File (ICPSR 9509)
Released/updated on: 2006-01-12
Geographic coverage: Milwaukee, Rhode Island, Oklahoma City, Providence, Indiana, United States, Oklahoma, Tennessee, California, Alabama, New York (state), Cleveland, Birmingham, Utah, San Jose, Ohio, Salt Lake City, Memphis, Virginia, Wisconsin, Buffalo, Indianapolis, Norfolk
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 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, 1992: MSA Core File (ICPSR 6464)
Released/updated on: 2006-01-12
Geographic coverage: Warwick, Oklahoma City, Virginia Beach, Newport News, Indiana, United States, Oklahoma, Tennessee, Alabama, Arkansas, Cleveland, Utah, Pawtucket, Massachusetts, Missouri, Salt Lake City, Memphis, Rhode Island, Providence, Birmingham, Mississippi, Ohio, Virginia, Indianapolis, Norfolk
This data collection provides information on characteristics of housing units in eight 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, 2004: Metropolitan Microdata (ICPSR 4592)
Released/updated on: 2007-07-06
Geographic coverage: Oklahoma City, Indiana, United States, Oklahoma, Tennessee, Cleveland, Washington, Atlanta, Colorado, Missouri, New Orleans, Denver, Memphis, St. Louis, Pittsburgh, Sacramento, Seattle, San Antonio, California, Pennsylvania, Texas, Connecticut, Louisiana, Ohio, Hartford, Georgia, Indianapolis
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
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, 1980 [United States]: SMSA Files (ICPSR 8257)
Released/updated on: 2007-11-01
Geographic coverage: Warwick, Oklahoma City, Indiana, United States, Oklahoma, Tennessee, Grand Rapids, Louisville, Alabama, Arkansas, Utah, Washington, Albany (New York), New York City, Pawtucket, Massachusetts, Missouri, Salt Lake City, Memphis, St. Louis, Saginaw, Ogden, Rhode Island, Schenectady, Allentown, Sacramento, Providence, Kentucky, Bethlehem, California, New York (state), Birmingham, New Jersey, Michigan, Troy, Mississippi, Baltimore, Illinois, Long Beach, Los Angeles, Indianapolis
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, real estate taxes, and 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.
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.
Curated
Restricted
Project on Policing Neighborhoods in Indianapolis, Indiana, and St. Petersburg, Florida, 1996-1997 (ICPSR 3160)
Released/updated on: 2007-06-01
Geographic coverage: Indiana, United States, St. Petersburg, Florida, Indianapolis
Time period: 1996-01-01--1997-01-01
The purpose of the Project on Policing Neighborhoods (POPN) was to provide an in-depth description of how the police and the community interact with each other in a community policing (CP) environment. Research was conducted in Indianapolis, Indiana, in 1996 and in St. Petersburg, Florida, in 1997. Several research methods were employed: systematic observation of patrol officers (Parts 1-4) and patrol supervisors (Parts 5-14), in-person interviews with patrol officers (Part 15) and supervisors (Parts 16-17), and telephone surveys of residents in selected neighborhoods (Part 18). Field researchers accompanied their assigned patrol or supervising officer during all activities and encounters with the public during the shift. Field researchers noted when various activities and encounters with the public occurred during these "ride-alongs," who was involved, and what happened. In the resulting data files coded observation data are provided at the ride level, the activity level (actions that did not involve interactions with citizens), the encounter level (events in which officers interacted with citizens), and the citizen level. In addition to encounters with citizens, supervisors also engaged in encounters with patrol officers. Patrol officers and patrol supervisors in both Indianapolis and St. Petersburg were interviewed one-on-one in a private interviewing room during their regular work shifts. Citizens in the POPN study beats were randomly selected for telephone surveys to determine their views about problems in their neighborhoods and other community issues. Administrative records were used to create site identification data (Part 19) and data on staffing (Part 20). This data collection also includes data compiled from census records, aggregated to the beat level for each site (Part 21). Census data were also used to produce district populations for both sites (Part 22). Citizen data were aggregated to the encounter level to produce counts of various citizen role categories and characteristics and characteristics of the encounter between the patrol officer and citizens in the various encounters (Part 23). Ride-level data (Parts 1, 5, and 10) contain information about characteristics of the ride, including start and end times, officer identification, type of unit, and beat assignment. Activity data (Parts 2, 6, and 11) include type of activity, where and when the activity took place, who was present, and how the officer was notified. Encounter data (Parts 3, 7, and 12) contain descriptive information on encounters similar to the activity data (i.e., location, initiation of encounter). Citizen data (Parts 4, 8, and 13) provide citizen characteristics, citizen behavior, and police behavior toward citizens. Similarly, officer data from the supervisor observations (Parts 9 and 14) include characteristics of the supervising officer and the nature of the interaction between the officers. Both the patrol officer and supervisor interview data (Parts 15-17) include the officers' demographics, training and knowledge, experience, perceptions of their beats and organizational environment, and beliefs about the police role. The patrol officer data also provide the officers' perceptions of their supervisors while the supervisor data describe supervisors' perceptions of their subordinates, as well as their views about their roles, power, and priorities as supervisors. Data from surveyed citizens (Part 18) provide information about their neighborhoods, including years in the neighborhood, distance to various places in the neighborhood, neighborhood problems and effectiveness of police response to those problems, citizen knowledge of, or interactions with, the police, satisfaction with police services, and friends and relatives in the neighborhood. Citizen demographics and geographic and weight variables are also included. Site identification variables (Part 19) include ride and encounter numbers, site beat (site, district, and beat or community policing areas [CPA]), and sector. Staffing variables (Part 20) include district, shift, and staffing levels for various shifts. Census data (Part 21) include neighborhood, index of socioeconomic distress, total population, and total white population. District population variables (Part 22) include district and population of district. The aggregated citizen data (Part 23) provide the ride and encounter numbers, number of citizens in the encounter, counts of citizens by their various roles, and by sex, age, race, wealth, if known by the police, under the influence of alcohol or drugs, physically injured, had a weapon, or assaulted the police, counts by type of encounter, and counts of police and citizen actions during the encounter.
Curated
Prosecution of Felony Arrests, 1986: Indianapolis, Los Angeles, New Orleans, Portland, St. Louis, and Washington, DC (ICPSR 9094)
Released/updated on: 2006-03-30
Geographic coverage: Oregon, District of Columbia, Indiana, United States, Missouri, Portland (Oregon), Louisiana, New Orleans, Los Angeles, California, St. Louis, Indianapolis
This data collection represents the sixth in a series of statistical reports sponsored by the Bureau of Justice Statistics. The purpose of the series is to provide statistical information on how prosecutors and the courts dispose of criminal cases involving adults arrested for felony crimes. With this purpose in mind, information was collected on items such as an individual's arrest date, sentencing date, court charge, and case disposition.