Albuquerque Lowers Auto Theft Rate by 33%
Albuquerque, N.M., which ranked as the top metro area in the nation for per-capital vehicle theft rates in 2016 and 2017, has thefts by 33% for the first nine months of 2018, according to the National Insurance Crime Bureau (NICB).

Albuquerque has taken steps to lower its auto theft rate in 2018.
Photo via Debernardi/Wikimedia.
Albuquerque, N.M., which ranked as the top metro area in the nation for per-capital vehicle theft rates in 2016 and 2017, has thefts by 33% for the first nine months of 2018, according to the National Insurance Crime Bureau (NICB).
In 2017, vehicle thefts increased 4.1% across the nation and Albuquerque experienced the greatest amount of 9,989 thefts per 100,000 population, according to NICB's annual "Hot Spots" report.
Albuquerque officials credit their steady improvement to using a multi-jurisdictional approach, as well as enhancing and increasing community policing efforts.
New Mexico lawmakers created a statewide Auto Theft Prevention Authority. The goal was to motivate law enforcement agencies in the state to work together.
A big hurdle was getting judges to crack down on repeat offenders, because car thieves were spending little time behind bars. At times, they repeated the same crime within 24 hours of their release. Cooperating agencies worked with the authority to identify 66 repeat auto thief offenders statewide and urged judges to rethink releasing them.
Tightening penalities for vehicle theft remains a key area of focus throughout New Mexico.
Other cities that ranked among the top five for vehicle thefts in 2017, according to the NICB report include Anchorage, Alaska (3,274); Pueblo, Colo. (1,353); Redding, Calif. (1,352); and St. Joseph, Mo. (952).
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 →
