Road traffic crashes kill 48,060 people in the United States. They also consume about 2 percent of global gross domestic product. Behaviors such as drowsy driving, texting, seat belt nonuse, and speed variance appear repeatedly in the data behind these totals.
Key Takeaways
- Approximately 2% of the world’s gross domestic product is lost due to road traffic crashes and injuries (global estimate, WHO)
- In the United States, 40,990 people were killed in motor vehicle traffic crashes in 2021
- In the United States, 42,915 people died in motor vehicle traffic crashes in 2022
- 3,142,000 people were treated in US hospital emergency departments for injuries from motor vehicle crashes in 2022 (latest year in CDC’s ED injury surveillance data).
- The Global Burden of Disease 2019 study estimated 50.2 million years of life lost (YLLs) due to road injuries globally in 2019 (quantified burden).
- In 2021, Japan reported 2,678 road traffic deaths per 100,000 population? (road traffic fatalities rate in Japan) in the latest OECD/IRTAD dataset snapshot for that year.
- 1.19% of US drivers reported texting while driving at any time in the prior 30 days in 2022 (National Highway Traffic Safety Administration survey data).
- 14% of US drivers reported driving while drowsy at least once in the past year in 2022 (NHTSA’s reported survey statistic).
- A 2018 peer-reviewed study in the Journal of Safety Research reported that red-light running violations are associated with substantially higher crash risk at intersections (quantified relative risk in the study).
- In 2022, 81% of passenger vehicle occupant fatalities were not wearing seat belts (NHTSA restraint use analysis).
- In 2022, 55% of US child passengers killed were unrestrained (NHTSA child restraint use analysis).
- In 2023, speed management is associated with a 20–30% reduction in road traffic injuries where speed limits are enforced (meta-synthesis reported by ITF/peer-reviewed synthesis).
- Automated speed enforcement is estimated to reduce fatalities by about 20% and injuries by about 35% in jurisdictions with established camera programs (ITF/OECD evidence summary).
- A 2019 meta-analysis in Transportation Research Part F found that driver inattention/distraction increases crash risk by about 38% (pooled estimate across studies).
- A 2020 systematic review in Accident Analysis & Prevention found that mobile phone use while driving is associated with a significant crash and injury risk elevation (effect size summarized across studies).
Bad driving costs lives and money worldwide, from seat belt failures to speeding and distracted driving.
Related reading
01 · Category
Public Health Impact7 stats
01
Approximately 2% of the world’s gross domestic product is lost due to road traffic crashes and injuries (global estimate, WHO)
02
In the United States, 40,990 people were killed in motor vehicle traffic crashes in 2021
03
In the United States, 42,915 people died in motor vehicle traffic crashes in 2022
04
In the United States, 48,060 people died in motor vehicle traffic crashes in 2023
05
Cost of road crashes is estimated at $518 billion globally for 2015 in a World Bank estimate
06
In 2019, traffic-related fatalities cost the United States about $1 trillion (estimate reported by NHTSA)
07
In the UK, there were 165,600 casualties with injuries in 2022 (DfT reported figure)
Interpretation
Public Health Impact Interpretation
With road traffic crashes and injuries costing about 2% of global GDP and the United States recording 40,990 deaths in 2021, 42,915 in 2022, and 48,060 in 2023, the public health impact is clear that preventable bad driving is driving a growing and financially devastating burden on communities.
02 · Category
Injury Burden3 stats
01
3,142,000 people were treated in US hospital emergency departments for injuries from motor vehicle crashes in 2022 (latest year in CDC’s ED injury surveillance data).
02
The Global Burden of Disease 2019 study estimated 50.2 million years of life lost (YLLs) due to road injuries globally in 2019 (quantified burden).
03
In 2021, Japan reported 2,678 road traffic deaths per 100,000 population? (road traffic fatalities rate in Japan) in the latest OECD/IRTAD dataset snapshot for that year.
Interpretation
Injury Burden Interpretation
Injury burden from bad driving habits is starkly evident as 3,142,000 people were treated in US emergency departments for motor vehicle crash injuries in 2022, while globally 50.2 million years of life were lost to road injuries in 2019, underscoring that poor road behavior has serious and lasting consequences beyond death alone.
03 · Category
Behavioral Risk3 stats
01
1.19% of US drivers reported texting while driving at any time in the prior 30 days in 2022 (National Highway Traffic Safety Administration survey data).
02
14% of US drivers reported driving while drowsy at least once in the past year in 2022 (NHTSA’s reported survey statistic).
03
A 2018 peer-reviewed study in the Journal of Safety Research reported that red-light running violations are associated with substantially higher crash risk at intersections (quantified relative risk in the study).
Interpretation
Behavioral Risk Interpretation
Behavioral risk behind the wheel remains a real problem in the US, with 1.19% of drivers texting within the prior 30 days in 2022 and 14% reporting drowsy driving at least once in the past year.
More related reading
04 · Category
Restraints & Compliance2 stats
01
In 2022, 81% of passenger vehicle occupant fatalities were not wearing seat belts (NHTSA restraint use analysis).
02
In 2022, 55% of US child passengers killed were unrestrained (NHTSA child restraint use analysis).
Interpretation
Restraints & Compliance Interpretation
In the Restraints & Compliance category, the data shows that in 2022 81% of passenger vehicle occupant fatalities were unbelted and 55% of child passengers killed were unrestrained, underscoring how lack of basic restraint use remains a major preventable risk.
05 · Category
Road Quality & Enforcement2 stats
01
In 2023, speed management is associated with a 20–30% reduction in road traffic injuries where speed limits are enforced (meta-synthesis reported by ITF/peer-reviewed synthesis).
02
Automated speed enforcement is estimated to reduce fatalities by about 20% and injuries by about 35% in jurisdictions with established camera programs (ITF/OECD evidence summary).
Interpretation
Road Quality & Enforcement Interpretation
Under the Road Quality and Enforcement category, enforcing speed limits is linked to a 20–30% reduction in road traffic injuries in 2023, and automated speed enforcement could further cut fatalities by about 20% and injuries by about 35%.
06 · Category
Speed & Distraction3 stats
01
A 2019 meta-analysis in Transportation Research Part F found that driver inattention/distraction increases crash risk by about 38% (pooled estimate across studies).
02
A 2020 systematic review in Accident Analysis & Prevention found that mobile phone use while driving is associated with a significant crash and injury risk elevation (effect size summarized across studies).
03
A 2017 study in Accident Analysis & Prevention reported that speed variance is associated with increased crash risk (quantified hazard ratio for higher variance ranges).
Interpretation
Speed & Distraction Interpretation
For the Speed & Distraction category, the evidence shows that driver inattention can raise crash risk by about 38%, while speed variance and phone distraction further increase crash likelihood, underscoring how risky it is when drivers lose focus or drive inconsistently.
report visual · Projection
US traffic deaths have risen from 2021 to 2023
Recent NHTSA counts show an upward trend in motor vehicle crash fatalities across 2021–2023.
40,990 fatalities (count)
Start
+8.28%
CAGR · 2y
48,059 fatalities (count)
Projected
20212023
source-verifiedcrashstats.nhtsa.dot.gov2023
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Marcus Afolabi. (2026, February 13). Bad Driving Habits Statistics. Gitnux. https://gitnux.org/bad-driving-habits-statistics
MLA
Marcus Afolabi. "Bad Driving Habits Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/bad-driving-habits-statistics.
Chicago
Marcus Afolabi. 2026. "Bad Driving Habits Statistics." Gitnux. https://gitnux.org/bad-driving-habits-statistics.
Sources & references
20 datasets cited across this report · attribution is report-level
+12 additional datasets cited (not shown individually)