Roadway Fatalities Down 2% in 2019
An estimated 38,800 people were killed in automotive collisions in 2019, which translates into a 2% decline as compared with the 39,404 fatalities in 2018.

Six states experienced estimated increases in fatalities by more than 5%.
Photo: Wikimedia Commons.
An estimated 38,800 people were killed in automotive collisions in 2019, which translates into a 2% decline as compared with the 39,404 fatalities in 2018 and a 4% decline over the 40,231 in 2017, according to preliminary estimates released today by the National Safety Council.
Injuries dipped slightly as well, with some 4.4 million people seriously injured in crashes in 2019 as compared with 4.5 million in 2018.
Seven states fared particularly well, with 2019 fatalities dropping over 13% as compared with 2018.
Vermont experienced a 31% decrease in roadway fatalities followed by New Hampshire with a 30% drop. Other states that ranked among the top seven for reducing fatalities include South Dakota and the District of Columbia, both of which experienced a 21% decline in deaths, Alaska with a 16% decline, and Connecticut and Nevada with a 14% decline each.
Conversely, six states experienced estimated increases in fatalities by more than 5%. These include Nebraska (8%), Ohio (8%), Tennessee (10%), Delaware (20%), and Wyoming (32%), and Maine (35%).
In addition, the latest data from the Council indicate some specific roadway trends. For example, there was a continued spike in pedestrian deaths, distracted driving continues to be linked to 8% of crashes, and drowsy driving is a factor in another 2% of collisions.
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 →
