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TwitterThis presentation is an opportunity to learn about the various data sets, available through Statistics Canada’s website as well as through the Research Data Centre network, that describe the nature and characteristics of crime and victimization in Canada. Understanding how to exploit the research potential of the data sets produced by the Canadian Centre for Justice and Community Safety can contribute in a significant manner in the development of crime prevention programs, and are instrumental in developing evidence-based policy. The presentation will discuss how to exploit police and courts administrative records as well as new surveys related to gender based violence.
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The data, by region, contains:
The survey was designed to measure the incidence of crime in our society and its characteristics.
The Canadian Centre for Justice Statistics, in co-operation with the policing community, collects police-reported crime statistics through the UCR survey.
Adapted from Statistics Canada, CANSIM Table 252-0077, 2015. This does not constitute an endorsement by Statistics Canada of this product.
*[ CANSIM]: Canadian Socio-Economic Information Management System *[UCR]: Uniform Crime Reporting
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Black people are overrepresented in Canada's criminal justice system as both victims and people accused or convicted of crime. This fact sheet presents a statistical overview of the key areas of overrepresentation of Black people at different stages of the criminal justice system. National disaggregated data on the racialized identity of those who come in contact with the criminal justice system remain fairly limited and underreported. However, some information is available and presented in the current fact sheet. The data presented are drawn from Statistics Canada’s Canadian Centre for Justice and Community Safety Statistics (CCJCSS), the Department of Justice Canada’s Research and Statistics Division (RSD), the Correctional Service of Canada (CSC), and the Office of the Correctional Investigator (OCI)
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This report presents findings on the representation and outcomes of Indigenous people as accused in Canadian criminal courts. This is the first time that national statistics on Indigenous accused in criminal courts are reported in Canada. This study addresses four key objectives: Identify whether the criminal court process itself contributes to the overrepresentation of Indigenous people in the criminal justice system (CJS); Identify disproportionality in court outcomes of Indigenous accused, compared to White accused, at key stages/decision points of the criminal court process; Identify whether other sociodemographic variables (e.g., sex and age group) affect the level of disproportionate outcomes experienced by Indigenous people at key stages/decision points of the criminal court process; and, Identify areas that warrant further exploration and data development. This study was a collaborative effort between the Research and Statistics Division at the Department of Justice Canada and the Canadian Centre for Justice and Community Safety Statistics at Statistics Canada. The data used in this study were obtained through a data linkage whereby records from Statistics Canada’s 2016 Census of Population long-form (Census) and the Integrated Criminal Court Survey (ICCS) were linked together to obtain the Indigenous identity of accused. The linked data were used to generate two types of metrics: 1) proportions of Indigenous and White accused in criminal courts; and 2) the Relative Rate Index (RRI).
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This is a custom tabulation from Statistics Canada. This product is based on data from the adult component of the Integrated Criminal Court Survey (ICCS). The ICCS is administered by the Canadian Centre for Justice and Community Safety Statistics (Statistics Canada) in collaboration with provincial and territorial government departments responsible for criminal courts in Canada. The survey collects statistical information on adult and youth court cases involving Criminal Code and other federal statute offences. Data contained in this table represent the adult criminal court portion of the survey, namely individuals who were 18 years of age or older at the time of the offence. Data are based on a fiscal year (April 1 through March 31). There are many factors that influence variations between jurisdictions. These may include Crown and police charging practices, offence distributions, and various forms of diversion programs. Therefore, comparisons between jurisdictions should be interpreted with caution. Integrated Criminal Court Survey (ICCS) data for Quebec were not available for 2021/2022.
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This is a custom tabulation from Statistics Canada. Intimate partner and non-intimate partner victims of police-reported violent crime and traffic offences causing bodily harm or death, by age and gender of victim, provinces, territories and census metropolitan areas, 2010 to 2021. Data are from the Uniform Crime Reporting (UCR2) Trend Database, which contains historical data that permit the analysis of trends since 2009 in the characteristics of incidents, and accused and victim characteristics, such as age, gender and accused-victim relationship. This database includes respondents accounting for 99% of the population of Canada. Source: Statistics Canada, Canadian Centre for Justice and Community Safety Statistics, Uniform Crime Reporting (UCR2) Survey, Trend Database.
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This fact sheet presents information on criminal court cases where the most serious offence in the case is a drug-related offence subject to a mandatory minimum penalty (MMP). Data were obtained through a request to the Canadian Centre for Justice and Community Safety Statistics (CCJCSS) and cover the period from 2014/2015 to 2019/2020.
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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. Responding to this survey is mandatory.
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This fact sheet presents information on criminal court cases where the most serious offence in the case is a drug-related offence subject to a mandatory minimum penalty (MMP). Data were obtained through a request to the Canadian Centre for Justice and Community Safety Statistics (CCJCSS) and cover the period from 2014/2015 to 2019/2020.
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This fact sheet presents information on criminal court cases where the most serious offence in the case is a child-related sexual offence subject to a mandatory minimum penalty (MMP). Data were obtained through a request to the Canadian Centre for Justice and Community Safety Statistics (CCJCSS) and cover the period from 2014/2015 to 2019/2020.
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The Child Witness Program offers a number of services, including:
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This fact sheet presents information on criminal court cases where the most serious offence in the case is a child-related sexual offence subject to a mandatory minimum penalty (MMP). Data were obtained through a request to the Canadian Centre for Justice and Community Safety Statistics (CCJCSS) and cover the period from 2014/2015 to 2019/2020.
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The data contains the number of criminal incidents, the clearance status of those incidents and persons-charged, by MCYS region (Central, East, North, Toronto, West, Other). The survey was designed to measure the incidence of crime in our society and its characteristics. The Canadian Centre for Justice Statistics, in co-operation with the policing community, collects police-reported crime statistics through the UCR survey. Adapted from Statistics Canada, CANSIM Table 252-0077, 2015. This does not constitute an endorsement by Statistics Canada of this product. *[MCYS]: Ministry of Children and Youth Services *[ CANSIM]: Canadian Socio-Economic Information Management System *[UCR]: Uniform Crime Reporting
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The Supervised Access Program provides separated and divorced families with a safe, neutral, child-focused meeting place. This is used for visits and exchanges between children and non-custodial parents or other adults, such as grandparents, where there are safety concerns. Contact is supervised by trained staff and volunteers.
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TwitterData is no longer provided by the Calgary Police Service. To access latest data click here. This data is considered cumulative as late-reported incidents are often received well after an offence has occurred. Therefore, crime counts are subject to change as they are updated. Crime count is based on the most serious violation (MSV) per incident. Violence: These figures include all violent crime offences as defined by the Centre for Canadian Justice Statistics Universal Crime Reporting (UCR) rules. Domestic violence is excluded. Break and Enter: Residential B&E includes both House and ‘Other’ structure break and enters due to the predominantly residential nature of this type of break in (e.g. detached garages, sheds). B&Es incidents include attempts.
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TwitterThis dataset includes all auto theft occurrences by reported date and related offences since 2014.Auto Theft DashboardDownload DocumentationThis data is provided at the offence and/or vehicle level, therefore one occurrence number may have several rows of data associated to the various MCIs used to categorize the occurrence.The downloadable datasets display the REPORT_DATE and OCC_DATE fields in UTC timezone.This data does not include occurrences that have been deemed unfounded. The definition of unfounded according to Statistics Canada is: “It has been determined through police investigation that the offence reported did not occur, nor was it attempted” (Statistics Canada, 2020).**The dataset is intended to provide communities with information regarding public safety and awareness. The data supplied to the Toronto Police Service by the reporting parties is preliminary and may not have been fully verified at the time of publishing the dataset.The location of crime occurrences have been deliberately offset to the nearest road intersection node to protect the privacy of parties involved in the occurrence. All location data must be considered as an approximate location of the occurrence and users are advised not to interpret any of these locations as related to a specific address or individual.NOTE: Due to the offset of occurrence location, the numbers by Division and Neighbourhood may not reflect the exact count of occurrences reported within these geographies. Therefore, the Toronto Police Service does not guarantee the accuracy, completeness, timeliness of the data and it should not be compared to any other source of crime data.By accessing these datasets, the user agrees to full acknowledgement of the Open Government Licence - Ontario.In accordance with the Municipal Freedom of Information and Protection of Privacy Act, the Toronto Police Service has taken the necessary measures to protect the privacy of individuals involved in the reported occurrences. No personal information related to any of the parties involved in the occurrence will be released as open data.** Statistics Canada. 2020. Uniform Crime Reporting Manual. Surveys and Statistical Programs. Canadian Centre for Justice Statistics.
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This fact sheet presents information on criminal court cases where the most serious offence in the case is an impaired driving-related offence subject to a mandatory minimum penalty (MMP).1 Data were obtained through a request to the Canadian Centre for Justice and Community Safety Statistics (CCJCSS) and cover the period from 2014/2015 to 2019/2020
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This fact sheet presents information on criminal court cases where the most serious offence in the case is a firearm-related offence subject to a mandatory minimum penalty (MMP). Data were obtained through a request to the Canadian Centre for Justice and Community Safety Statistics (CCJCSS) and cover the period from 2014/2015 to 2019/2020.
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This fact sheet presents information on criminal court cases where the most serious offence in the case is an impaired driving-related offence subject to a mandatory minimum penalty (MMP).1 Data were obtained through a request to the Canadian Centre for Justice and Community Safety Statistics (CCJCSS) and cover the period from 2014/2015 to 2019/2020
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TwitterToronto Neighbourhoods Boundary File includes Crime Data by Neighbourhood. Counts are available at the offence and/or victim level for Assault, Auto Theft, Bike Theft, Break and Enter, Robbery, Theft Over, Homicide, Shootings and Theft from Motor Vehicle. Data also includes crime rates per 100,000 people by neighbourhood based on each year's Projected Population by Environics Analytics.This data does not include occurrences that have been deemed unfounded. The definition of unfounded according to Statistics Canada is: “It has been determined through police investigation that the offence reported did not occur, nor was it attempted” (Statistics Canada, 2020).**The dataset is intended to provide communities with information regarding public safety and awareness. The data supplied to the Toronto Police Service by the reporting parties is preliminary and may not have been fully verified at the time of publishing the dataset. The location of crime occurrences have been deliberately offset to the nearest road intersection node to protect the privacy of parties involved in the occurrence. All location data must be considered as an approximate location of the occurrence and users are advised not to interpret any of these locations as related to a specific address or individual.NOTE: Due to the offset of occurrence location, the numbers by Division and Neighbourhood may not reflect the exact count of occurrences reported within these geographies. Therefore, the Toronto Police Service does not guarantee the accuracy, completeness, timeliness of the data and it should not be compared to any other source of crime data.By accessing these datasets, the user agrees to full acknowledgement of the Open Government Licence - Ontario..In accordance with the Municipal Freedom of Information and Protection of Privacy Act, the Toronto Police Service has taken the necessary measures to protect the privacy of individuals involved in the reported occurrences. No personal information related to any of the parties involved in the occurrence will be released as open data. ** Statistics Canada. 2020. Uniform Crime Reporting Manual. Surveys and Statistical Programs. Canadian Centre for Justice Statistics.
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TwitterThis presentation is an opportunity to learn about the various data sets, available through Statistics Canada’s website as well as through the Research Data Centre network, that describe the nature and characteristics of crime and victimization in Canada. Understanding how to exploit the research potential of the data sets produced by the Canadian Centre for Justice and Community Safety can contribute in a significant manner in the development of crime prevention programs, and are instrumental in developing evidence-based policy. The presentation will discuss how to exploit police and courts administrative records as well as new surveys related to gender based violence.