Top Vehicle Theft Hot Spots Named
Albuquerque, N.M., recorded the highest rate of vehicle thefts in the U.S. in 2017 as vehicle thefts increased 4.1% across the nation, reports the National Insurance Crime Bureau. Each year, the bureau analyzes thefts reported to law enforcement and releases a top 10 list with its "Hot Spots" report.

The Albuquerque area saw 9,989 vehicle thefts in 2017 in a region with about 910,000 residents.
Photo via Asaavedra32/Wikimedia.
Albuquerque, N.M., recorded the highest rate of vehicle thefts in the U.S. in 2017 as vehicle thefts increased 4.1% across the nation, reports the National Insurance Crime Bureau. Each year, the bureau analyzes thefts reported to law enforcement and releases a top 10 list with its "Hot Spots" report.
In 2017, Albuquerque saw 9,989 thefts followed by Anchorage, Alaska (3,274); Pueblo, Colo. (1,353); Redding, Calif. (1,352); and St. Joseph, Mo. (952). The Albuquerque Metropolitan Statistical Area (MSA) that includes the counties of Bernalillo, Sandoval, Torrance, and Valencia had an estimated population of 909,906 through 2016, according to federal data. The area was at the top of the list in the 2016 report.
Areas with high per-capita theft rates are considered more problematic that areas with high aggregate number of thefts such as Los Angeles, which had 60,444 thefts and ranks 33 on the list.
Other areas with high per-capital vehicle theft rates include Bakersfield, Calif. (6,560); Modesto, Calif. (3,870); Stockton-Lodi, Calif. (4,575); Yuba City, Calif. (1,050); and Springfield, Mo. (2,686).
The bureau uses data reported by law enforcement agencies to the FBI as part of the Uniform Crime Report from the MSAs, which are designated by the U.S. Office of Management and Budget. The report doesn't include unreported thefts.
Related Video: Top 10 Cities in Auto Theft Rate (2016)
More Safety

Managing Road Risk at Scale: Why Fleet Safety Needs a Data-Driven Framework
Insights from the FIA Road and Driver Safety Indexes reveal how to manage road risk on a larger scale.
Read More →
Stellantis Recalls 1.3 Million Jeep Vehicles Worldwide Over Fire Risk
Stellantis is recalling more than 1.3 million Jeep Wrangler and Gladiator models worldwide over a fire risk linked to power steering pump wiring.
Read More →
Coaching Is Not Training, Even When AI Is Doing It
AI-powered safety platforms can detect risky behaviors and deliver immediate feedback. But effective driver development still requires a foundation of training followed by coaching that reinforces those skills.
Read More →
How Emotions Behind the Wheel Can Affect Fleet Safety
During National Safety Month, fleets are encouraged to look beyond distracted driving and recognize how stress, fatigue, and emotional well-being influence driver performance and crash risk.
Read More →
Nominations Open for 2026 Fleet Safety Award
Nominations have officially opened for the 2026 Fleet Safety Award Winner.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
NAFA Fleet Safety Symposium to Collocate With 2026 Fleet Forward Conference
The daylong certificate program will precede the Fleet Forward Conference at the Gaylord National Harbor in Maryland.
Read More →
The Distractions You Can’t Turn Off: What Drivers Face Outside the Vehicle
Fleet drivers face constant visual, cognitive, and environmental interruptions the moment they hit the road. From roadside chaos to mental fatigue and digital overload, today’s biggest driving risks often come from outside the vehicle itself.
Read More →
FLASH Weather AI Launches First Deep-Learning Hail Prediction Model With High-Resolution Forecasting
FLASH Weather AI has launched a first-of-its-kind hail prediction model capable of forecasting hail size and arrival time at 1-kilometer resolution up to 55 minutes ahead, giving fleets and insurers critical time to prepare for severe storms.
Read More →
