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.

In 2023, the number of incidents of theft of motor vehicle in Canada increased by 8,940 incidents (+8.44 percent) since 2022. In total, the number of incidents amounted to 114,863 incidents in 2023.

This statistic shows the number of motor vehicle thefts in Canada in 2021, by province or territory. There were 27,495 motor vehicle thefts in Ontario, Canada in 2021.

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.

274.8 (cases per 100,000 population) in 2022. “Private Car Theft” means the removal of a private car without the consent of the owner of the vehicle. “Private Cars” means motor vehicles, excluding motorcycles, commercial vehicles, buses, lorries, construction and agricultural vehicles.(UN-CTS M4.5)

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.

GapMaps provides Crime Risk data sourced from Applied Geographic Solutions (AGS) which has been used by thousands of companies for over 20 years, providing valuable comparative information on the spatial patterns of crime.

Crime Risk Data includes crime risk indexes and projections on detailed crime types like murder and motor vehicle theft, and summary indexes of crimes against persons, crimes against property and overall crime risk. Crime Risk Data is available at the highly detailed census block level to capture the different risk levels across business and residential places. It is derived from an extensive analysis of several years of crime reports from the vast majority of law enforcement jurisdictions nationwide.

The crimes included in the Crime Risk Data database are the “Part 1” crimes and include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. These categories are the primary reporting categories used by the FBI in its Uniform Crime Report (UCR), with the exception of Arson, for which data is very inconsistently reported at the jurisdictional level. In accordance with the reporting procedures using in the UCR reports, aggregate indexes have been prepared for personal and property crimes separately, as well as a total index. While this provides a useful measure of the relative “overall” crime rate in an area, it must be recognized that these are unweighted indexes, in that a murder is weighted no more heavily than a purse snatching in the computation. For this reason, caution is advised when using any of the aggregate index values. In 2020, 5-Year Projections were added to the database.

Use cases: 1. Insurance underwriting and risk mitigation. 2. Evaluating the security measures needed to protect employees and customers at retail facilities. 3. The study of the effects of neighborhood crime on wellness and health care outcomes.

Methodology: Crime is tracked for multiple years using both FBI aggregate crime reports and for many parts of the country at the individual incident level. A complex set of statistical models are used to estimate and forecast risk of each individual crime type by using land use data in conjunction with demographic and business characteristics.

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 2023.

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 property crimes in Canada in 2023, by type of crime. There were 817.34 reported mischief incidents per 100,000 residents in Canada in 2023.

This dataset includes all Major Crime Indicators (MCI) occurrences by reported date and related offences since 2014.Major Crime Indicators DashboardDownload DocumentationThe Major Crime Indicators categories include Assault, Break and Enter, Auto Theft, Robbery and Theft Over (Excludes Sexual Violations). 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 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.

Toronto 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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Automotive Aftermarket Telematics Market Size 2024-2028

The automotive aftermarket telematics market size is forecast to increase by USD 25.68 billion at a CAGR of 19.7% between 2023 and 2028.

The industry is witnessing significant growth due to the increasing demand for advanced in-vehicle communication and connectivity options. Telematics solutions, including emergency call systems like eCall, vehicle tracking, satellite navigation, and vehicle safety communication, are becoming increasingly popular. These systems enable real-time vehicle monitoring, medical assistance, and road safety regulations. With the advent of 5G technology, the market is expected to experience faster data transfer rates and more reliable connectivity, further enhancing the capabilities of telematics.
However, technical limitations, such as data security and privacy concerns, may hinder market growth. Additionally, the rise of connected car devices and infotainment systems is driving the market, providing consumers with a more convenient and interactive driving experience. Overall, the automotive aftermarket telematics industry is poised for growth, offering numerous benefits to both consumers and automakers.

What will be the Automotive Aftermarket Telematics Market Size During the Forecast Period?

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The market is experiencing significant growth as businesses increasingly adopt connected technologies to optimize Fleet management and enhance vehicle performance. This market encompasses various intelligent technologies, including vehicular tracking, fleet safety, and fleet utilization systems. Connected technologies are revolutionizing the commercial vehicle sector by enabling real-time monitoring, remote diagnostics, and predictive maintenance. These advancements contribute to increased efficiency, reduced operational costs, and improved safety. Telematics systems are at the heart of this transformation, providing valuable insights into vehicle performance, fuel consumption, and driver behavior.
Consequently, cloud technologies play a crucial role in processing and analyzing this data, allowing businesses to make informed decisions and respond promptly to issues. The telematics market extends beyond fleet management, with applications in autonomous driving, satellite technology, and electric vehicles. Telecom companies and 5G networks are essential partners in delivering reliable connectivity for these services, ensuring seamless communication between vehicles and their management platforms. Connected car services offer real-time traffic updates, enhancing the driving experience and improving overall productivity. These services also contribute to fleet safety by providing instant alerts for road traffic accidents and enabling proactive response. By providing real-time insights, predictive maintenance, and enhanced safety features, telematics systems are contributing to increased efficiency, reduced costs, and improved productivity for businesses in the transportation sector.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Passenger cars
  Commercial vehicles


Geography

  APAC

    China
    India
    Japan
    South Korea


  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  South America



  Middle East and Africa

By Application Insights

The passenger cars segment is estimated to witness significant growth during the forecast period.

The passenger car segment is the largest in the automotive industry, both in terms of volume and revenue. The demand for passenger cars serves as a significant indicator of a country's or region's economic development, as it correlates with industrial output and population demographics. In the forecast period, this segment is expected to continue leading the market due to strong growth in emerging markets and the revival of developed economies. Telematics, a vital technology in the aftermarket sector, is increasingly being adopted in passenger vehicles. This trend is driven by the growing popularity of car sharing, car rental, and other commercial uses of passenger cars.

Consequently, owners of these services require telematics to monitor and track their vehicles efficiently. Moreover, the integration of advanced technologies like 5G, satellite navigation, emergency call systems (eCall), and vehicle safety communication systems is enhancing the functionality of aftermarket car telematics. These features offer benefits such as vehicle theft prevention, medical assistance, and road safety regulations compliance. Connected car devices and infotainment systems are also becoming inc

This guide is for cycle 13 of the General Social Survey (GSS). Cycle 13 is the third cycle (following cycles 3 and 8) that collected information in 1999 on the nature and extent of criminal victimisation in Canada. Focus content for cycle 13 addressed two areas of emerging interest: public perception toward alternatives to imprisonment; and spousal violence and senior abuse. Other subjects common to all three cycles include perceptions of crime, police and courts; crime prevention precautions; accident and crime screening sections; and accident and crime incident reports. The target population of the GSS is all individuals aged 15 and over living in a private household in one of the ten provinces.

In 2022 in Montréal, the largest city in the Canadian province of Québec, the most frequent type of property crime recorded by police was theft under 5,000 Canadian dollars of non-motor vehicles, with over 33,800 incidents. The second most frequent type of crime related to property that year was theft of motor vehicle. In 2022, Montréal was the city with the third highest number of property crimes in Canada, behind Toronto and Vancouver.

Co-ordinated by the Statistical Service of the Ministry of Justice of the Netherlands, this study aims at obtaining comparable data on crime in various countries. Since official statistics provide information that is heavily dependent on the organization of the police and the justice system in each country, the study's approach is to study the incidence of crime in the population - the degree of victimization in the population - by means of an international survey of the population. 14 countries participated in the 1989 survey: USA, Canada, Australia, France, England, Scotland, Northern Ireland, Spain, Federal Republic of Germany, Switzerland, Netherlands, Belgium, Norway and Finland, as well as two cities, Warsaw (Poland) and Surabaja (Indonesia). Japan participated on the basis of a somewhat modified questionnaire and sampling. The survey was resumed in 1992 in the following countries: England, the Netherlands, Belgium, Finland, USA, Canada, Australia, and additionally Sweden, Italy, New Zealand, Poland, Czech Republic, Slovakia, Georgia, Estonia, Indonesia and Costa Rica. On the other hand, Scotland, Northern Ireland, Germany, Switzerland, France, Norway, Spain and Japan didn't take part. Selected cities in the following countries also took part: Argentina, Albania, India, South Africa, Russia, Slovenia, Uganda, Brazil, Philippines, Egypt, Tanzania, Tunisia, China. The following crimes were investigated by the investigation: car theft, motorcycle theft, moped theft and bicycles theft, burglary, robbery, simple theft and pickpocketing, sexual assault, assault and battery, threats. Respondents who were victims of such crimes were asked a few brief questions about the place of the offense, the material consequences, the report to the police, the satisfaction with the police action, and the received assistance. All the interviewees were also asked to express themselves about their fear of crime, their satisfaction with the local police, their preventive attitude towards crime, how severely they would sentence a 21-year-old repeat burglar. Note that the questionnaire has evolved between successive surveys. After 1992, the survey was resumed twice at the international level and once at the Swiss level. In total, the following survey waves were completed: 1989 international survey (with Swiss participation) 1992 international survey (without Swiss participation) 1996 international survey (with Swiss participation) 1998 Swiss survey 2000 international survey (with Swiss participation)