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Study Title/Investigator
Released/Updated
1.
This data collection was designed to address problems of
crime as a barrier to the economic health of three outlying commercial
centers of New York City: Brooklyn, Fordham Road in the Bronx, and
Jamaica Center in Queens. Included in the survey are variables
concerning the respondent's age, race, gender, family income, length of
residence, and personal victimization experience. Also included are
variables pertaining to perceptions of safety, physical disorder in the
area, and source of information about crime in the commercial center.
1992-02-17
2.
Impact of Neighborhood Structure, Crime, and Physical Deterioration on Residents and Business Personnel in Minneapolis-St.Paul, 1970-1982 (ICPSR 2371)
Taylor, Ralph B.
Taylor, Ralph B.
This study is a secondary analysis of CRIME, FEAR, AND
CONTROL IN NEIGHBORHOOD COMMERCIAL CENTERS: MINNEAPOLIS AND ST. PAUL,
1970-1982 (ICPSR 8167), which was designed to explore the relationship
between small commercial centers and their surrounding
neighborhoods. Some variables from the original study were recoded and
new variables were created in order to examine the impact of community
structure, crime, physical deterioration, and other signs of
incivility on residents' and merchants' cognitive and emotional
responses to disorder. This revised collection sought to measure
separately the contextual and individual determinants of commitment to
locale, informal social control, responses to crime, and fear of
crime. Contextual determinants included housing, business, and
neighborhood characteristics, as well as crime data on robbery,
burglary, assault, rape, personal theft, and shoplifting and measures
of pedestrian activity in the commercial centers. Individual variables
were constructed from interviews with business leaders and surveys of
residents to measure victimization, fear of crime, and attitudes
toward businesses and neighborhoods. Part 1, Area Data, contains
housing, neighborhood, and resident characteristics. Variables include
the age and value of homes, types of businesses, amount of litter and
graffiti, traffic patterns, demographics of residents such as race and
marital status from the 1970 and 1980 Censuses, and crime data. Many
of the variables are Z-scores. Part 2, Pedestrian Activity Data,
describes pedestrians in the small commercial centers and their
activities on the day of observation. Variables include primary
activity, business establishment visited, and demographics such as
age, sex, and race of the pedestrians. Part 3, Business Interview
Data, includes employment, business, neighborhood, and attitudinal
information. Variables include type of business, length of employment,
number of employees, location, hours, operating costs, quality of
neighborhood, transportation, crime, labor supply, views about police,
experiences with victimization, fear of strangers, and security
measures. Part 4, Resident Survey Data, includes measures of
commitment to the neighborhood, fear of crime, attitudes toward local
businesses, perceived neighborhood incivilities, and police
contact. There are also demographic variables, such as sex, ethnicity,
age, employment, education, and income.
2006-01-18
3.
This study contains election and census data for 732
Norwegian communes in the period 1949-1961. Election returns
are available for the elections of 1949, 1953, 1957, and 1961.
In addition, data from the censuses of 1950 and 1960 are
presented, including information on demography, education,
modernization, the economy, and occupational structure, and
contextual information about clusters of neighboring communes.
Data are provided on the total number of registered voters and
the total number of votes cast for the Norwegian Communist
Party, the Norwegian Labour Party, the Liberal Party (Venstre),
the Christian People's Party, the Agrarian Party (the Centre Party),
the Conservative Party (Hoyre), and other political parties.
Additional variables provide information on age and educational
levels for males and females, the total number of economically
active population employed in agriculture, forestry, fisheries,
manufacturing, and construction, the total value of industrial
production, and the total number of private households and occupied
housing units.
1992-02-16