Crime Survey

Detailed information for 1981(conducted in 1982)

Status:

Inactive

Frequency:

One Time

Record number:

3803

This survey was designed to provide information for planning and evaluating crime prevention programs.

Data release - July 6, 1995

Description

Also known as the Canadian Urban Victimization Survey, this survey collected data in Vancouver, Edmonton, Winnipeg, Toronto, Montreal, Halifax/Dartmouth, and St. John's on the following topics: the extent and distribution of selected crimes; the impact of selected crimes; the risk of criminal victimization; and the functioning of the criminal justice system.

Subjects

  • Crime and justice
  • Crimes and offences

Data sources and methodology

Sampling

This is a sample survey with a cross-sectional design.

The sample size was large enough to support estimated proportions of household characteristics of 0.5% or greater bearing a coefficient of variation not exceeding 15%.

Data sources

Responding to this survey is voluntary.

Data are collected directly from survey respondents.

The crime survey was conducted by the Special Surveys Group for the Department of the Solicitor General of Canada. It was a telephone survey with interviews conducted with a sample of individuals selected randomly using a two stage probability sampling technique - the first stage being the selection of a sample of households using random digit dialing and the second stage being the selection of one individual 16 years of age or older from each selected household. Respondents were asked to report details of incidents of any seven types of crimes which occurred during 1981. The crimes included were sexual assault, assault, robbery, motor vehicle theft, household theft, personal theft and vandalism.

Estimation

Since the survey was based upon a sample of households, each responding household and each responding person represented a number of other households or persons. The weighting phase calculates what this number is and places it on the micro-data file for each record. For example each responding household in Metro Toronto represented approximately 68 other households, this number being based upon the fraction of all households actually sampled and the response rate achieved. The sample design for the survey is such that unweighted data (even for proportions) will not yield proper estimates of population characteristics.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.

In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.

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