University of Toronto. Data Library Service

Title: Uniform crime reporting survey (UCR 2.2)

Series title: Canadian Centre for Justice Statistics (CCJS)

Principal investigator(s): Statistics Canada. Canadian Centre for Justice Statistics (CCJS)

Producer: Ottawa, Ont.: Statistics Canada. Canadian Centre for Justice Statistics (CCJS)

Date of creation: 2010-08 [latest]

Funding agency:

Collector:

Distributor: Ottawa, Ont.: Statistics Canada. Data Liberation Initiative.

Date of distribution: 2010-08 [latest]

Access conditions/restrictions: University of Toronto faculty, students and staff, for academic research and teaching purposes only. See DLI licence.

Summary: The Canadian Centre for Justice Statistics (CCJS), in co-operation with the policing community, collects police-reported crime statistics through the Uniform Crime Reporting Survey (UCR). The UCR Survey was designed to measure the incidence of crime in Canadian society and its characteristics.

UCR data reflect reported crime that has been substantiated by police. Information collected by the survey includes the number of criminal incidents, the clearance status of those incidents and persons-charged information. The UCR Survey produces a continuous historical record of crime and traffic statistics reported by every police agency in Canada since 1962. In 1988, a new version of the survey was created, UCR2, and is since referred to as the "incident-based" survey, in which microdata on characteristics of incidents, victims and accused are captured.

There are two versions of the UCR collection instrument that are operating simultaneously: UCR Aggregate (UCR1.0) Survey and the UCR2 Incident-based Survey, which is comprised of three versions, UCR2.0, UCR2.1, and UCR2.2.

The UCR Aggregate Survey (UCR1.0) collects summary data for nearly 100 separate criminal offences and has been in place since 1962.

In order to collect more detailed information on each incident, victims and accused persons, the UCR2 Survey was developed in the mid-1980's. This alternative method of data collection in which a separate statistical record is created for each criminal incident is known as an "incident-based" reporting system. The first respondent reported incident-based data in 1988.

In 2005, another version named UCR 2.2 was introduced to take into account new violations/variables (not processed separately in the past) such as organized crime, cyber crime, hate crime and geocode information.

Geographic coverage: Canada

Time period: [latest] 2007

Date(s) of collection:

Universe:

Data type: aggregate statistics

Sample:

Mode of data collection: process-produced

Citation: Statistics Canada. Uniform crime reporting survey (2.2): cyber crime, organized crime and street gang crime for selected police services, 2006 [computer file]. Ottawa, Ont.: Statistics Canada. Canadian Centre for Justice Statistics (CCJS) [producer]; Statistics Canada. Data Liberation Initiative [distributor], 2008

Extent of file: 7 data files (Beyond 20/20 format; number of logical records varies)

Notes:
(2008) Microdata collected from the Uniform Crime Reporting Survey will not be disseminated to the dli as there are numerous caveats that would make it difficult for users to use and also to protect against confidentiality.

Status:

Related files: UCR 1.0, UCR 2.1
Other files from Canadian Centre for Justice Statistics (CCJS)
Also available in CANSIM


Documentation & data:

  • Data tables: [Restricted]
    • Table 1: Cyber crime, organized crime and street gang crime for selected police services : 2006 , 2007
    • Table 2: Hate-Motivated Crime, by Selected Police Servicex : 2006 , 2007
    • Table 3: Hate crime, by type of motivation, Canada : 2006 , 2007
    • Table 4: Hate crime, by most serious violation, Canada : 2006 , 2007
    • Table 5: Organized crime, by most serious violation for selected police services : 2006
    • Table 6: Street gang crime, by most serious violation for selected police services : 2006 , 2007
    • Table 7: Cyber crime, by most serious violation for selected police services : 2006 , 2007


Bibliography