This statistic shows Canada's reported motor vehicle theft rate from 2000 to 2023. There were about 286.46 motor vehicle thefts per 100,000 residents in Canada in 2021. Motor Vehicle TheftMotor vehicle theft, a subset of property crime, is the theft or attempted theft of any self-propelled land vehicles such as cars, trucks, motorcycles and ATVs. Motor vehicles are typically stolen for resale and parts after being stripped down, or for joy rides, short term thefts for the sole purpose of entertainment. Motor vehicle theft has been on the decline for some years. It follows the downward trend of all property crime in Canada, which is down 40 percent since 2000. It is thought one of the primary reasons for the decline in motor vehicle thefts is better anti-theft technology in newer cars, such as engine immobilizers, which make it very difficult to steal without the ignition key. In fact, all of the vehicles on Insurance Bureau of Canada’s list of top ten most stolen automobiles predate legislation that went into effect in 2007 requiring new cars sold in Canada to be equipped with an engine immobilizer.

This 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.

This statistic shows the rate of motor vehicle thefts in Canada in 2019, by metro area. There were 309.91 motor vehicle thefts per 100,000 residents in Saskatoon, Saskatchewan, Canada in 2019.

This data set is no longer compiled by the Ministry of the Solicitor General. Property crimes are typically non-violent in nature and include: * breaking and entering * motor vehicle theft * theft over $5,000 (non-motor vehicle) * theft under $5,000 (non-motor vehicle) * mischief The data can be accessed from Statistics Canada.

Incident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), Canada, provinces, territories, Census Metropolitan Areas and Canadian Forces Military Police, 1998 to 2024.

Crime severity index (violent, non-violent, youth) and weighted clearance rates (violent, non-violent), Canada, provinces, territories and Census Metropolitan Areas, 1998 to 2024.

Incident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), police services in Ontario, 1998 to 2024.

This table contains 29600 series, with data for years 1977 - 1997 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (40 items: Canada;Newfoundland and Labrador;St. John's, Newfoundland and Labrador;Prince Edward Island; ...); Offences (148 items: Total, all incidents;Total, all Criminal Code offences, including traffic;Total, Criminal Code, excluding traffic;Total, crimes of violence; ...); Statistics (5 items: Actual incidents;Rate per 100,000 population;Percentage change in rates;Cleared by charge; ...).

This dataset contains theft of motor vehicle occurrences from 2018 - 2024.For privacy reasons, the locations of the occurrences have been geomasked to the closest intersection. The crime statistics published are accurate on the day that they were produced. Due to ongoing police investigations and internal data quality control efforts, this information is subject to change, including addition, deletion and reclassification of any and all data. Date created: June 20th, 2023 Date updated: February 11th, 2024Update frequency: Annually Accuracy: The Ottawa Police provides this information in good faith but provides no warranty, nor accepts any liability arising from any incorrect, incomplete or misleading information or its improper use. Attributes: 1. Vehicle Year2. Vehicle Make3. Vehicle Model4. Vehicle Style5. Vehicle Colour6. Vehicle Value7. Weekday8. Recovered9. Neighbourhood10. Ward11. Councillor12. Sector13. Division14. Reported Date15. Occurred Date16. Year17. Intersection18. Division19. Census Tract20. Time of Day21. Councillor22. Reported Hour23. Occurred Hour

This dataset contains incident-based crime statistics by detailed violations for Canada and its provinces. Source : Statistics Canada, Table: 35-10-0177-01 (formerly CANSIM 252-0051) Release date: 2021-07-27).

The rate of incidents of violent criminal code violations in Canada increased by 51.1 incidents (+3.71 percent) in 2023 in comparison to the previous year. In total, the rate of incidents amounted to 1,427.94 incidents in 2023.

The rate of incidents of identity theft in Canada decreased by 4.2 incidents (-24.01 percent) in 2023 in comparison to the previous year. Nevertheless, the last two years recorded a significant higher rate of incidents than the preceding years.

This dataset includes all Theft from Motor Vehicle occurrences by reported date and related offences since 2014. The Theft from Motor Vehicle offences include Theft from Motor Vehicle Under and Theft from Motor Vehicle Over. Theft from Motor Vehicle Dashboard Download Documentation This data is provided at the offence and/or victim level, therefore one occurrence number may have several rows of data associated to the various offences 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.

Police-reported hate crime, by type of motivation (race or ethnicity, religion, sexual orientation, language, disability, sex, age), selected regions and Canada (selected police services), 2014 to 2024.

The data, by region, contains: * the number of violations under the Youth Criminal Justice Act * child pornography * sexual violations against children * luring a child via a computer * making sexually explicit material available to children 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

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

This data set is no longer compiled by the Ministry of the Solicitor General. Property crimes are typically non-violent in nature and include: * breaking and entering * motor vehicle theft * theft over $5,000 (non-motor vehicle) * theft under $5,000 (non-motor vehicle) * mischief The data can be accessed from Statistics Canada.

This Alberta Official Statistic describes the violent crime rates for Canada and provinces for the years from 1998 to 2014. The rate is based on the incidence of violent crime per 100,000 population in each province. The Canadian Centre for Justice Statistics (CCJS), in co-operation with the policing community, collects police-reported crime statistics through the Uniform Crime Reporting (UCR) Survey. 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 (UCR3) was created, which is referred to as the "incident-based" survey. It captures microdata on characteristics of incidents, victims and accused. Data from the UCR Survey provide key information for crime analysis, resource planning and program development for the policing community. Municipal and provincial governments use the data to aid decisions about the distribution of police resources, definitions of provincial standards and for comparisons with other departments and provinces. To the federal government, the UCR survey provides information for policy and legislative development, evaluation of new legislative initiatives, and international comparisons. To the public, the UCR survey offers information on the nature and extent of police-reported crime and crime trends in Canada. As well, media, academics and researchers use these data to examine specific issues about crime.

Police-reported organized crime, by most serious violation (homicide and attempted murder, assault, sexual violations, kidnapping and hostage taking, human trafficking, robbery and theft, firearm and weapons violations, extortion and criminal harassment, arson, forgery and fraud, child pornography, criminal organization involvement, probation and court violations, drug possession and trafficking, and other violations), Canada (selected police services), 2016 to 2024.

This dataset includes all Theft from Motor Vehicle occurrences by reported date and related offences since 2014. The Theft from Motor Vehicle offences include Theft from Motor Vehicle Under and Theft from Motor Vehicle Over. Theft from Motor Vehicle Dashboard Download Documentation This data is provided at the offence and/or victim level, therefore one occurrence number may have several rows of data associated to the various offences 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.