The Hyundai Elantra was the most frequently stolen passenger vehicle in the United States in 2023, with 48,445 thefts among all model years of this car. The second most stolen vehicle was the Hyundai Sonata, with 42,813 thefts in 2023.

When incidents happened, where it took place, the victim’s perception of the incident, and what items were stolen or damaged. Annual data from the Crime Survey for England and Wales (CSEW).

In 2023, the District of Columbia had the highest rate of motor vehicle theft in the United States, with 1,070.9 cases per 100,000 inhabitants. Washington, Nevada, Colorado, and Maryland rounded out the top five states for motor vehicle theft in that year. Nationwide, the rate of motor vehicle theft stood at 318.7 cases per 100,000 residents.

In 2022, Chile recorded the highest car theft rate in the world, with nearly *** incidents per 100,000 inhabitants. Other countries with notably high rates included Uruguay, Israel, and Luxembourg.

The Criminal Justice Research Division of the San Diego Association of Governments (SANDAG) received funds from the National Institute of Justice to assist the Regional Auto Theft Task (RATT) force and evaluate the effectiveness of the program. The project involved the development of a computer system to enhance the crime analysis and mapping capabilities of RATT. Following the implementation of the new technology, the effectiveness of task force efforts was evaluated. The primary goal of the research project was to examine the effectiveness of RATT in reducing auto thefts relative to the traditional law enforcement response. In addition, the use of enhanced crime analysis information for targeting RATT investigations was assessed. This project addressed the following research questions: (1) What were the characteristics of vehicle theft rings in San Diego and how were the stolen vehicles and/or parts used, transported, and distributed? (2) What types of vehicles were targeted by vehicle theft rings and what was the modus operandi of suspects? (3) What was the extent of violence involved in motor vehicle theft incidents? (4) What was the relationship between the locations of vehicle thefts and recoveries? (5) How did investigators identify motor vehicle thefts that warranted investigation by the task force? (6) Were the characteristics of motor vehicle theft cases investigated through RATT different than other cases reported throughout the county? (7) What investigative techniques were effective in apprehending and prosecuting suspects involved in major vehicle theft operations? (8) What was the impact of enhanced crime analysis information on targeting decisions? and (9) How could public education be used to reduce the risk of motor vehicle theft? For Part 1 (Auto Theft Tracking Data), data were collected from administrative records to track auto theft cases in San Diego County. The data were used to identify targets of enforcement efforts (e.g., auto theft rings, career auto thieves), techniques or strategies used, the length of investigations, involvement of outside agencies, property recovered, condition of recoveries, and consequences to offenders that resulted from the activities of the investigations. Data were compiled for all 194 cases investigated by RATT in fiscal year 1993 to 1994 (the experimental group) and compared to a random sample of 823 cases investigated through the traditional law enforcement response during the same time period (the comparison group). The research staff also conducted interviews with task force management (Parts 2 and 3, Investigative Operations Committee Initial Interview Data and Investigative Operations Committee Follow-Up Interview Data) and other task force members (Parts 4 and 5, Staff Initial Interview Data and Staff Follow-Up Interview Data) at two time periods to address the following issues: (1) task force goals, (2) targets, (3) methods of identifying targets, (4) differences between RATT strategies and the traditional law enforcement response to auto theft, (5) strategies employed, (6) geographic concentrations of auto theft, (7) factors that enhance or impede investigations, (8) opinions regarding effective approaches, (9) coordination among agencies, (10) suggestions for improving task force operations, (11) characteristics of auto theft rings, (12) training received, (13) resources and information needed, (14) measures of success, and (15) suggestions for public education efforts. Variables in Part 1 include the total number of vehicles and suspects involved in an incident, whether informants were used to solve the case, whether the stolen vehicle was used to buy parts, drugs, or weapons, whether there was a search warrant or an arrest warrant, whether officers used surveillance equipment, addresses of theft and recovery locations, date of theft and recovery, make and model of the stolen car, condition of vehicle when recovered, property recovered, whether an arrest was made, the arresting agency, date of arrest, arrest charges, number and type of charges filed, disposition, conviction charges, number of convictions, and sentence. Demographic variables include the age, sex, and race of the suspect, if known. Variables in Parts 2 and 3 include the goals of RATT, how the program evolved, the role of the IOC, how often the IOC met, the relationship of the IOC and the executive committee, how RATT was unique, why RATT was successful, how RATT could be improved, how RATT was funded, and ways in which auto theft could be reduced. Variables in Parts 4 and 5 include the goals of RATT, sources of information about vehicle thefts, strategies used to solve auto theft cases, location of most vehicle thefts, how motor vehicle thefts were impacted by RATT, impediments to the RATT program, suggestions for improving the program, ways in which auto theft could be reduced, and methods to educate citizens about auto theft. In addition, Part 5 also has variables about the type of officers' training, usefulness of maps and other data, descriptions of auto theft rings in terms of the age, race, and gender of its members, and types of cars stolen by rings.

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

The highest average annual number of car thefts in CEE countries was recorded in Croatia. In 2023, nearly 37.71 vehicles per 100 thousand inhabitants were stolen in this country. Other countries in Central and Eastern Europe with the highest average number of thefts per 100 thousand inhabitants were Romania and Czechia, respectively.

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 DashboardDownload DocumentationThis 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.

This trends and best practices evaluation geared toward motor vehicle theft prevention with a particular focus on the Watch Your Car (WYC) program was conducted between October 2002 and March 2004. On-site and telephone interviews were conducted with administrators from 11 of 13 WYC member states. Surveys were mailed to the administrators of auto theft prevention programs in 36 non-WYC states and the 10 cities with the highest motor vehicle theft rates. Completed surveys were returned from 16 non-WYC states and five of the high auto theft rate cities. Part 1, the survey for Watch Your Car (WYC) program members, includes questions about how respondents learned about the WYC program, their WYC related program activities, the outcomes of their program, ways in which they might have done things differently if given the opportunity, and summary questions that asked WYC program administrators for their opinions about various aspects of the overall WYC program. The survey for the nonmember states, Part 2, and cities, Part 3, collected information about motor vehicle theft prevention within the respondent's state or city and asked questions about the respondent's knowledge of, and opinions about, the Watch Your Car program.

Stolen Vehicle Recovery Market exceeded value of USD 11.61 Billion in 2024 and is projected to grow by USD 12.43 Billion in 2025 and is expected to reach USD 21.33 Billion by 2032 at CAGR of 7.0%.

This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2019). For additional details, please see the attached data dictionary in the ‘About’ section.

In 2023, the nationwide rate of motor vehicle theft in the United States was 318.7 reported cases per 100,000 population. While this is an increase from the previous year, it is a significant decrease from the rate in 1990, which stood at 657.8 motor vehicle thefts per 100,000 of the population.

The Oakland Police Department provides crime data to the public through the City of Oakland’s Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.

The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.

This dataset is a single extract from the Bureau of Crime Statistics and Research's hotspot maps for 11 of the following offence types:domestic assaultnon-domestic assaultalcohol related assaultrobberybreak and enter dwellingbreak and enter non-dwellingmotor vehicle theftsteal from vehiclesteal from personsteal from dwellingmalicious damage to propertyFor additional information, see Understanding crime hotspot maps

Stolen Vehicle Recovery (SVR) Tracking Service Market Outlook

The global Stolen Vehicle Recovery (SVR) Tracking Service market is projected to witness significant growth, with an estimated CAGR of 8.5% from 2024 to 2032. This growth is primarily driven by advancements in tracking technologies and increasing vehicle theft rates worldwide.

One of the key growth factors for the SVR Tracking Service market is the rising incidents of vehicle theft across the globe. According to recent statistics, vehicle theft has been on the rise, prompting both individuals and fleet operators to invest in advanced tracking solutions. These solutions not only help in recovering stolen vehicles but also serve as a deterrent against potential thefts. Moreover, automotive manufacturers are increasingly integrating tracking technologies into their vehicles, further boosting the demand for these services.

Another significant factor contributing to the growth of the SVR Tracking Service market is the technological advancements in tracking systems. Innovations such as GPS and RFID have revolutionized the way vehicles are tracked and recovered. These technologies offer real-time tracking capabilities, which enable swift recovery of stolen vehicles. The integration of these advanced technologies with mobile applications has also made it easier for vehicle owners to monitor their vehicles in real-time, further driving the market growth.

Additionally, the growing awareness among consumers about the benefits of SVR tracking services is propelling market growth. As consumers become more aware of the risks associated with vehicle theft and the advantages of tracking solutions, the adoption of these services is expected to increase. Marketing campaigns by service providers and automotive manufacturers are playing a crucial role in educating consumers about the importance of SVR tracking systems, thereby driving market expansion.

In recent years, the concept of Tracking as a Service has gained traction across various industries, including the automotive sector. This service model allows businesses and individuals to leverage advanced tracking technologies without the need for significant upfront investments in hardware or software. By subscribing to a tracking service, users can access real-time data and analytics, enabling them to monitor and manage their assets more effectively. This approach not only reduces the complexity and cost associated with traditional tracking systems but also offers scalability and flexibility to adapt to changing needs. As the demand for efficient and cost-effective tracking solutions grows, Tracking as a Service is poised to become a key driver of innovation and growth in the SVR Tracking Service market.

From a regional perspective, North America is expected to hold a significant share of the SVR Tracking Service market due to the high vehicle theft rates and the presence of major market players in the region. The Asia Pacific region is also anticipated to witness substantial growth, driven by the increasing adoption of advanced technologies and the growing automotive industry in countries like China and India. Europe, Latin America, and the Middle East & Africa are also expected to contribute to market growth, albeit at a slower pace compared to North America and Asia Pacific.

Technology Analysis

The SVR Tracking Service market is segmented by technology into GPS, RFID, and others. GPS (Global Positioning System) technology has emerged as the dominant segment, owing to its high accuracy and real-time tracking capabilities. The widespread availability of GPS-enabled devices and the integration of GPS systems in modern vehicles have significantly boosted the adoption of this technology in SVR services. Moreover, advancements in GPS technology, such as improved satellite connectivity and enhanced signal reception, have further propelled its growth in the market.

The RFID (Radio Frequency Identification) segment is also gaining traction in the SVR Tracking Service market. RFID technology offers several advantages, including low cost, ease of installation, and the ability to track vehicles in areas with poor GPS signal reception. This technology is particularly useful in urban environments where GPS signals may be obstructed by tall buildings. RFID-based SVR solutions are increasingly being adopted by fleet operators and law enforcement agencies to track and recover stolen vehicles efficiently.

Private car theft rate of Finland fell by 1.64% from 101.0 cases per 100,000 population in 2021 to 99.3 cases per 100,000 population in 2022. Since the 15.34% jump in 2020, private car theft rate plummeted by 15.07% in 2022. Private Cars' means motor vehicles, excluding motorcycles, commercial vehicles, buses, lorries, construction and agricultural vehicles.(UN-CTS M4.5)

In 2023, California was the state with the most motor vehicle thefts, with 208,668 motor vehicle thefts. Texas had the second most motor vehicle thefts, at 115,013.

Private car theft rate of United Arab Emirates dropped by 11.59% from 6.1 cases per 100,000 population in 2018 to 5.3 cases per 100,000 population in 2022. Since the 1.97% upward trend in 2012, private car theft rate plummeted by 57.60% in 2022. Private Cars' means motor vehicles, excluding motorcycles, commercial vehicles, buses, lorries, construction and agricultural vehicles.(UN-CTS M4.5)

Anti-Theft Devices for Cars Market Outlook

The global anti-theft devices for cars market size was valued at USD 11.4 billion in 2023 and is projected to reach USD 22.7 billion by 2032, growing at a CAGR of 7.8% during the forecast period. This impressive growth is driven by increasing vehicle ownership worldwide, rising concerns over vehicle thefts, and advancements in anti-theft technologies. The growing awareness among consumers about vehicle safety and the increasing implementation of stringent regulations mandating the installation of anti-theft devices in vehicles are key factors propelling market growth.

One of the primary growth factors for the anti-theft devices for cars market is the significant increase in vehicle thefts globally. According to recent statistics, vehicle theft rates have been on the rise in various regions, especially in urban areas. This has led to a surge in demand for advanced anti-theft devices, as consumers and vehicle manufacturers seek to protect their investments. Additionally, the advancements in technology have led to the development of more sophisticated and effective anti-theft devices, which offer enhanced security features and are more difficult for thieves to bypass.

The integration of Internet of Things (IoT) technology into anti-theft devices has also contributed to market growth. IoT-enabled devices provide real-time tracking and monitoring of vehicles, alerting owners and authorities immediately in case of unauthorized access or movement. This has significantly improved the recovery rates of stolen vehicles, making IoT-based anti-theft devices highly desirable among consumers. Furthermore, the growing trend of connected cars is expected to drive the adoption of IoT-based anti-theft systems, as these systems can be easily integrated into the vehicleÂ’s existing network.

Another key growth factor is the increasing implementation of government regulations and policies aimed at reducing vehicle thefts. Various governments across the globe have made it mandatory for vehicles to be equipped with specific anti-theft devices. For instance, regulations in Europe and North America require new vehicles to have immobilizers installed, which has boosted the adoption of these devices. Additionally, insurance companies often offer discounts on premiums for vehicles equipped with advanced anti-theft systems, further incentivizing consumers to invest in these devices.

The Engine Immobilizer has emerged as a pivotal component in the realm of vehicle security systems. This technology is designed to prevent unauthorized starting of the vehicle's engine, effectively deterring potential theft attempts. By integrating a transponder chip within the vehicle's key, the engine immobilizer ensures that only the correct key can initiate the ignition process. This system has gained widespread adoption due to its reliability and effectiveness, becoming a standard feature in many modern vehicles. As regulations continue to mandate the inclusion of such security measures, the engine immobilizer remains a cornerstone in the fight against vehicle theft, offering peace of mind to vehicle owners worldwide.

From a regional perspective, North America and Europe account for significant shares of the global anti-theft devices for cars market, owing to high vehicle ownership rates, stringent regulations, and high consumer awareness about vehicle security. The Asia Pacific region is expected to witness the highest growth during the forecast period, driven by increasing vehicle sales, rising disposable incomes, and growing awareness about vehicle theft and safety. The automotive markets in emerging economies such as China and India are particularly poised for growth, owing to rapid urbanization and increasing middle-class populations.

Product Type Analysis

In the product type segment, steering wheel locks, car alarms, immobilizers, GPS tracking systems, and central locking systems play crucial roles in the anti-theft devices for cars market. Steering wheel locks are among the oldest and most reliable methods for preventing vehicle theft. These devices are highly visible and act as a strong deterrent, making it difficult for thieves to drive away with the vehicle. Although basic in technology, their effectiveness and affordability make them a popular choice among consumers.

Car alarms are another widely used category of anti-theft devices. They emit a loud noise when unauthorized access is dete

Provide vehicle theft, license plate theft (including taxis) API and Web services data query.