Sex Differences in Driver Risk and Behavior

“Who are the better drivers?”

Ask a dinner table who the “better” drivers are and you’ll get confident answers long before you get data. The empirical picture is more complicated – and more interesting – than either “men are reckless” or “women are bad at driving.”

Most road safety research uses binary sex categories (male/female) drawn from licenses or police reports. That choice mixes biology (body size, strength, hormones) with socialization (gender norms, expectations about masculinity and risk), so any differences we see are almost always a blend of both.

Broadly, three patterns keep reappearing across countries and decades:

  1. Men are over-represented in serious and fatal crashes, especially at younger ages, even after accounting for how much they drive.1
  2. Women are more vulnerable to injury in similar crashes, even when they’re belted and in the same seat position.23
  3. The two groups differ more in how they drive than in their raw ability to detect hazards or control a vehicle.45

The rest of this article unpacks those patterns.


Exposure: who drives where, when, and how much?

Before you compare crash counts, you have to deal with exposure. Men, on average:

  • Drive more miles per year
  • Spend more time on high-speed rural roads and nighttime trips
  • Are more likely to ride motorcycles and heavy vehicles

A recent analysis of Spanish drivers, using detailed logs of trip types, found that women drove substantially fewer total kilometers and avoided the riskiest contexts—open roads, night-time, poor light conditions, and weekends—more than men did.

When researchers adjust for these exposure differences using methods like induced exposure (comparing crash responsibility among drivers already involved in collisions), men still come out ahead in risk:

  • A classic induced-exposure study estimated that men’s risk of being responsible for a crash was 1.4–2.3 times higher than women’s, depending on age and environment.1
  • A broader traffic-safety analysis concluded that, per unit of exposure, men are more likely to be involved in both pedestrian and motor-vehicle crashes.6

So yes, men crash more partly because they drive more and in riskier conditions — but not only because of that.

slug: sex-differences-in-driver-behaviour

Risk-taking and driving style

Sex differences in risk-taking are not unique to traffic. A large psychological meta-analysis covering 150 studies found that, across many domains, males took more risks than females, with effect sizes ranging from small to moderate depending on the task.7

On the road, that pattern shows up in self-reported behavior and observed violations:

  • Men report more speeding, tailgating, and rule violations, and higher scores on “dangerous” and “angry” driving styles; women score higher on careful or patient styles.
  • A recent study on speed management suggested that impulsivity and impulse control mediate much of the sex difference in preferred speed – in other words, the gap isn’t just habit, but also underlying trait differences.8
  • A systematic review of risky driving behavior found that gender is a consistent internal factor: men commit more speeding and overtaking violations, women somewhat more “lapses” (e.g., forgetting to signal), though findings vary by context.

At the same time, perceived risk isn’t always lower in men. In a study of young road users, men and women rated the likelihood of a crash similarly, but men reported being less concerned about the consequences — suggesting that the gap is more about tolerance for risk than blind ignorance of it.9


Hazard perception and actual driving skill

One easy stereotype is that women are simply “worse” drivers. Studies that measure hazard perception and actual performance paint a different picture.

In a classic experiment on novice drivers, men and women showed no significant sex difference in hazard perception performance, but women rated driving as more risky and were more cautious in their self-assessment.4

Other work comparing self-rated driving skill with computer-based driving tasks found:

  • Men rated their driving skill higher than women did.
  • On objective detection and performance measures, women performed about as well as men.

Taken together, these suggest that:

  • The statistically higher crash involvement for men is not because women cannot perceive hazards.
  • Overconfidence among men (and underconfidence among women) may actually widen the behavioral gap: the group that feels more invincible takes more chances.

slug: sex-differences-in-driver-behaviour

Aggression, anger, and rule-breaking

Aggressive driving is an independent risk factor for crashes. Studies of driving anger and violations usually find:

  • Men, particularly younger men, report more anger-driven behaviors like chasing, cutting off other vehicles, or speeding up when someone tries to pass.10
  • Women report fewer deliberate violations but sometimes similar or higher levels of anxiety and lapses (e.g., momentary inattention) in dense traffic.

A recent paper on driving offenders added nuance: among people already convicted of driving offenses, female offenders showed higher empathy and impulsivity, while male offenders reported somewhat higher self-compassion and mindfulness.11 That suggests that once you get into the offender population, the psychological profiles diverge in interesting ways that go beyond simple “men worse.”


Injury severity and vehicle design

When a crash happens, the story flips: women are often more likely to be injured, even in crashes that look similar on paper.

  • A landmark American Journal of Public Health study found that belted female drivers had 47–71% higher odds of serious injury than belted male drivers in comparable frontal crashes, after adjusting for crash severity.2
  • A recent analysis from the crash-test community confirmed that females remain at higher risk of moderate-to-serious injury, and argued that vehicle and restraint systems have historically been tuned to the “average male” body.

This mismatch is now feeding into regulatory changes, including the introduction of more realistic female crash-test dummies meant to better represent women’s size, mass distribution, and injury patterns.

So while male drivers create more crashes overall, female occupants are less well protected by the legacy safety envelope, and that gap isn’t something either sex can fix by “driving better” alone.

slug: sex-differences-in-driver-behaviour

Sex differences in advanced driver assistance and technology use

As vehicles add layers of automation, gender patterns are emerging there too. Studies of advanced driver-assistance systems (ADAS) use suggest:

  • Men are more likely to push systems closer to their limits and sometimes disable them if they find them intrusive.
  • Women tend to use ADAS more conservatively and in line with the manufacturer’s intent, and to value the safety benefits more.

This matters because poorly understood or misused ADAS can create new types of crashes. If men are both more willing to take risks and more likely to override or misuse assist systems, sex differences in crash involvement may persist even as the technology improves.


Culture, not destiny

It’s tempting to treat all of this as destiny: “men are wired this way, women that way.” The data don’t really support that.

  • Effect sizes for sex differences in risk-taking are moderate at best and vary sharply by domain and culture.7
  • When you look at attitudes (e.g., support for safety policies, acceptability of speeding), a large cross-national study found that men reported riskier behaviors and attitudes “regardless of the level of gender equality” in the country—but the exact size of the gap varied.12
  • Differences in exposure choices (who drives at night, on rural highways, or with alcohol in the mix) are strongly shaped by social roles and expectations, not just biology.

In other words, sex is a useful macro-level predictor for safety statistics, but it’s a crude one. Many women drive like the safest men, and many men are safer than the average woman; policies that treat “male” and “female” drivers as monolithic groups will miss the real leverage points.

slug: sex-differences-in-driver-behaviour

What this means for road safety

A few reasonably solid conclusions emerge from the literature:

  • Crash creation vs. crash survival. Men are more likely to create severe crashes; women are more likely to be seriously injured in crashes they didn’t cause. That calls for both behavior change and better occupant protection.
  • Targeted interventions work. Programs aimed at young men that address speeding, aggression, alcohol, and overconfidence are strongly justified by the data. At the same time, improving hazard-perception training and confidence for women can help them fully use their actual skill.
  • Design for the vulnerable body, not the “average man.” Safety systems optimized only for 50th-percentile male bodies will keep women (and many smaller men) at higher risk. New female crash dummies and inclusive testing standards are overdue corrections, not political window dressing.
  • Measure behavior, not just identity. Ultimately, fine-grained metrics—speed profiles, close-passing rates, violations, hazard-perception scores—are more actionable than labels like “male driver.” Sex is a starting clue, not a diagnosis.

If road safety has a gender story, it’s this: men on average bring more risk into the system, women on average are less well protected when the system fails. Fixing that isn’t about declaring one sex “better,” but about designing vehicles, streets, and interventions that acknowledge those patterns without turning them into destiny.


References

Footnotes

  1. Redondo-Calderón, J. L. et al. “Application of the Induced Exposure Method to Compare Risk in Male and Female Drivers.” American Journal of Epidemiology 153(9), 2001. 2

  2. Bose, D. et al. “Vulnerability of Female Drivers Involved in Motor Vehicle Crashes.” American Journal of Public Health 101(12), 2011. 2

  3. Brumbelow, M. L., & Jermakian, J. S. “Sex-Related Vehicle and Crash Differences and their Implications for Injury Risk.” IRCOBI Conference Paper.

  4. Farrand, P., & McKenna, F. “Risk perception in novice drivers: the relationship between hazard perception, subjective risk estimation and speeding.” Transportation Research Part F 4(2), 2001. 2

  5. Sümer, N. et al. “Comparison of self-reported and computer-based measures of driving skills: Gender and performance.” Proceedings of the Human Factors and Ergonomics Society (University of Iowa Driving Studies).

  6. Onieva-García, M. Á. et al. “Gender and age differences in components of traffic-related pedestrian death rates: exposure, risk of crash and fatality rate.” Injury Epidemiology 3, 2016.

  7. Byrnes, J. P., Miller, D. C., & Schafer, W. D. “Gender Differences in Risk Taking: A Meta-Analysis.” Psychological Bulletin 125(3), 1999. 2

  8. Pan, C. et al. “Sex difference in driving speed management: The mediation role of impulsivity and impulse control.” PLOS ONE 18(7), 2023.

  9. Cordellieri, P. et al. “Gender Effects in Young Road Users on Road Safety Attitudes, Behaviors and Risk Perception.” Frontiers in Psychology 7, 2016.

  10. González-Iglesias, B., Gómez-Fraguela, J. A., & Luengo-Martín, M. A. “Driving anger and traffic violations: Gender differences.” Transportation Research Part F 15(4), 2012.

  11. Karras, M. et al. “Better understanding female and male driving offenders: a psychosocial and behavioral comparison.” Accident Analysis & Prevention 2024.

  12. Granié, M.-A. et al. “Gender differences in drivers’ road risks and attitudes: A cross-national study.” IATSS Research 2025.

Related Articles

Age-Related Changes in Driver Attention

As populations age, understanding how attention, vision, and hearing change behind the wheel can help design safer roads, vehicles, and alerts for drivers of all ages.

read-more →

Bike Horn User Interfaces: Taps, Presses, and Toggles

How modern bike horns use taps, presses, and directional gestures to give riders both polite bells and emergency car-level warnings.

read-more →