Car Crash Gender Statistics

GITNUXREPORT 2026

Car Crash Gender Statistics

Men account for significantly more global traffic deaths and injuries than women.

64 statistics17 sources5 sections8 min readUpdated 17 days ago

Key Statistics

Statistic 1

In Great Britain, 2019: 2,130 male road deaths and 1,002 female road deaths

Statistic 2

In Great Britain, 2019: 22,734 male serious injuries and 13,062 female serious injuries

Statistic 3

In Great Britain, 2019: 23,993 male slight injuries and 16,092 female slight injuries

Statistic 4

In Sweden, 2020: males accounted for 58% of road fatalities

Statistic 5

In Sweden, 2020: females accounted for 42% of road fatalities

Statistic 6

In Australia, 2020: males accounted for 76% of fatalities from road crashes

Statistic 7

In Australia, 2020: females accounted for 24% of fatalities from road crashes

Statistic 8

In Canada, 2021: males accounted for 64% of road crash fatalities

Statistic 9

In Canada, 2021: females accounted for 36% of road crash fatalities

Statistic 10

Males were 1.7 times as likely as females to be killed in road crashes in Australia (2020, ratio based on sex shares)

Statistic 11

In Great Britain, 2019: 1,098 males killed on roads in built-up areas and 442 females

Statistic 12

In Great Britain, 2019: 1,032 males killed on roads outside built-up areas and 560 females

Statistic 13

In the UK, 2019: males accounted for 62% of all drivers killed in reported accidents

Statistic 14

In the UK, 2019: females accounted for 38% of all drivers killed in reported accidents

Statistic 15

Men accounted for 61% of people killed in road accidents in the UK in 2019 (all road users)

Statistic 16

Women accounted for 39% of people killed in road accidents in the UK in 2019 (all road users)

Statistic 17

In Great Britain, 2019: 33% of drivers killed were aged 15-29

Statistic 18

In Great Britain, 2019: 44% of drivers killed aged 15-29 were male

Statistic 19

A meta-analysis found males have higher odds of risky driving behaviors than females (OR range ~1.3–2.0 across behaviors)

Statistic 20

In the U.S., 2019: 47% of men reported they had driven under the influence at least once; 30% of women reported the same (survey)

Statistic 21

In the U.S., 2019: 14% of men reported they had driven after drinking; 7% of women reported driving after drinking (survey)

Statistic 22

In Denmark, 2018: men accounted for 70% of alcohol-related traffic deaths

Statistic 23

In Denmark, 2018: women accounted for 30% of alcohol-related traffic deaths

Statistic 24

In Sweden, 2020: men accounted for 64% of road fatalities involving alcohol

Statistic 25

In Sweden, 2020: women accounted for 36% of road fatalities involving alcohol

Statistic 26

In Great Britain, 2019: male casualties (all severities) were 212,000 and female casualties were 146,000

Statistic 27

In Great Britain, 2019: male fatal casualties were 1,130 and female fatal casualties were 442

Statistic 28

In Great Britain, 2019: males accounted for 60% of casualties in the 15-24 age band

Statistic 29

In Great Britain, 2019: females accounted for 40% of casualties in the 15-24 age band

Statistic 30

In the EU (2019), 61% of drivers killed were male and 39% were female

Statistic 31

In the EU (2019), males were the majority in road fatalities across age groups, with peak male share at younger ages (2019, distribution by sex)

Statistic 32

In Australia, 2020: males accounted for 70% of hospitalizations for road crash injury

Statistic 33

In Australia, 2020: females accounted for 30% of hospitalizations for road crash injury

Statistic 34

In Great Britain, 2019: male drivers accounted for 67% of those killed or seriously injured

Statistic 35

In Great Britain, 2019: female drivers accounted for 33% of those killed or seriously injured

Statistic 36

In the EU, 2019: 31% of road deaths occurred among people aged 15-24

Statistic 37

In the EU, 2019: within the 15-24 group, males accounted for 70% of road deaths (sex distribution for youth)

Statistic 38

WHO estimates males account for 75% of road traffic deaths globally (sex distribution)

Statistic 39

WHO estimates females account for 25% of road traffic deaths globally (sex distribution)

Statistic 40

In Europe, 2019: male share of road deaths is consistently higher than female share across countries (Eurostat report)

Statistic 41

In WHO road safety data, males account for about 3/4 of road traffic deaths globally (reported sex split)

Statistic 42

Road traffic injury is a leading cause of death for people aged 5-29 globally (WHO estimate)

Statistic 43

Globally, road traffic deaths are estimated to be the 8th leading cause of death (WHO fact sheet)

Statistic 44

In the U.S., 2019: estimated total societal cost of motor vehicle crashes was $340 billion

Statistic 45

The U.S. cost of motor vehicle crashes includes $190 billion for property damage only

Statistic 46

In the U.S., the cost of motor vehicle crashes includes $57 billion for medical costs

Statistic 47

In the U.S., the cost of motor vehicle crashes includes $3.0 billion in emergency services

Statistic 48

In the U.S., the cost of motor vehicle crashes includes $75 billion in lost productivity

Statistic 49

In the U.S., the cost of motor vehicle crashes includes $17 billion in workplace costs

Statistic 50

In the U.S., the cost of motor vehicle crashes includes $9 billion in administrative costs

Statistic 51

In the U.S., average medical cost per crash victim was estimated at $8,100 (FARS-based cost model, year reported in NHTSA economic analysis)

Statistic 52

In the U.S., average property damage per crash was estimated at $4,200 (NHTSA economic analysis)

Statistic 53

In the U.S., the cost per fatality is estimated at $9.5 million (value of a statistical life, used in economic analysis)

Statistic 54

In the U.S., the cost per serious injury is estimated at $240,000 (used in economic analysis)

Statistic 55

In the U.S., the cost per minor injury is estimated at $17,000 (used in economic analysis)

Statistic 56

A peer-reviewed study estimates road crash costs account for about 1–3% of GDP across many countries (global economic burden range)

Statistic 57

WHO estimates the economic cost of road traffic injuries is about 3% of GDP globally (global burden)

Statistic 58

In OECD countries, road crashes cost an estimated 2% of GDP (OECD report estimate)

Statistic 59

Insurance premium pricing frameworks in the EU prohibit using gender as a pricing factor for motor insurance (Gender Equality in insurance rule, Directive 2004/113/EC implemented)

Statistic 60

In the U.S., sex is not used as a rating factor in auto insurance in many states (regulatory constraints; varies by state)

Statistic 61

In California, auto insurance is regulated such that gender cannot be used as a rating factor (Bill/Proposition framework; Prop 103 and related rules)

Statistic 62

In the EU, the Unisex rule is adopted under Article 5 of Directive 2004/113/EC (insurance premiums and benefits)

Statistic 63

In the U.S., the median cost of crash injuries (medical payments) varies by injury severity; NHTSA cost model uses $9.5 million per fatality and $240,000 per serious injury

Statistic 64

The WHO fact sheet reports road traffic injuries cause about 3% of global GDP losses

Sources
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Written by Alexander Schmidt·Edited by Priyanka Sharma·Fact-checked by Peter Sandoval

Published Feb 13, 2026·Last verified Apr 16, 2026
Fact-checked via 4-step process
01Primary Source Collection

Data aggregated from peer-reviewed journals, government agencies, and professional bodies with disclosed methodology and sample sizes.

02Editorial Curation

Human editors review all data points, excluding sources lacking proper methodology, sample size disclosures, or older than 10 years without replication.

03AI-Powered Verification

Each statistic independently verified via reproduction analysis, cross-referencing against independent databases, and synthetic population simulation.

04Human Cross-Check

Final human editorial review of all AI-verified statistics. Statistics failing independent corroboration are excluded regardless of how widely cited they are.

Read our full methodology →

Statistics that fail independent corroboration are excluded.

From Great Britain in 2019 alone, there were 2,130 male and 1,002 female road deaths, and digging into the dataset reveals how sex shares shift across fatalities, injury severity, age groups, and even alcohol related crashes across countries.

Key Takeaways

  • In Great Britain, 2019: 2,130 male road deaths and 1,002 female road deaths
  • In Great Britain, 2019: 22,734 male serious injuries and 13,062 female serious injuries
  • In Great Britain, 2019: 23,993 male slight injuries and 16,092 female slight injuries
  • In Great Britain, 2019: 1,098 males killed on roads in built-up areas and 442 females
  • In Great Britain, 2019: 1,032 males killed on roads outside built-up areas and 560 females
  • In the UK, 2019: males accounted for 62% of all drivers killed in reported accidents
  • In Denmark, 2018: men accounted for 70% of alcohol-related traffic deaths
  • In Denmark, 2018: women accounted for 30% of alcohol-related traffic deaths
  • In Sweden, 2020: men accounted for 64% of road fatalities involving alcohol
  • In the EU, 2019: 31% of road deaths occurred among people aged 15-24
  • In the EU, 2019: within the 15-24 group, males accounted for 70% of road deaths (sex distribution for youth)
  • WHO estimates males account for 75% of road traffic deaths globally (sex distribution)
  • In the U.S., 2019: estimated total societal cost of motor vehicle crashes was $340 billion
  • The U.S. cost of motor vehicle crashes includes $190 billion for property damage only
  • In the U.S., the cost of motor vehicle crashes includes $57 billion for medical costs

Across countries, men account for a larger share of road deaths and serious injuries than women.

Fatality Outcomes

1In Great Britain, 2019: 2,130 male road deaths and 1,002 female road deaths[1]
Verified
2In Great Britain, 2019: 22,734 male serious injuries and 13,062 female serious injuries[1]
Verified
3In Great Britain, 2019: 23,993 male slight injuries and 16,092 female slight injuries[1]
Directional
4In Sweden, 2020: males accounted for 58% of road fatalities[2]
Verified
5In Sweden, 2020: females accounted for 42% of road fatalities[2]
Verified
6In Australia, 2020: males accounted for 76% of fatalities from road crashes[3]
Verified
7In Australia, 2020: females accounted for 24% of fatalities from road crashes[3]
Verified
8In Canada, 2021: males accounted for 64% of road crash fatalities[4]
Directional
9In Canada, 2021: females accounted for 36% of road crash fatalities[4]
Verified
10Males were 1.7 times as likely as females to be killed in road crashes in Australia (2020, ratio based on sex shares)[3]
Single source

Fatality Outcomes Interpretation

Across countries and injury types, men are consistently more affected, with Australia (2020) showing 76% of road crash fatalities compared with 24% for women, and in Great Britain (2019) the gap is also clear in deaths at 2,130 male versus 1,002 female.

Behavioral Factors

1In Great Britain, 2019: 1,098 males killed on roads in built-up areas and 442 females[1]
Verified
2In Great Britain, 2019: 1,032 males killed on roads outside built-up areas and 560 females[1]
Directional
3In the UK, 2019: males accounted for 62% of all drivers killed in reported accidents[1]
Verified
4In the UK, 2019: females accounted for 38% of all drivers killed in reported accidents[1]
Verified
5Men accounted for 61% of people killed in road accidents in the UK in 2019 (all road users)[1]
Verified
6Women accounted for 39% of people killed in road accidents in the UK in 2019 (all road users)[1]
Directional
7In Great Britain, 2019: 33% of drivers killed were aged 15-29[1]
Verified
8In Great Britain, 2019: 44% of drivers killed aged 15-29 were male[1]
Verified
9A meta-analysis found males have higher odds of risky driving behaviors than females (OR range ~1.3–2.0 across behaviors)[5]
Single source
10In the U.S., 2019: 47% of men reported they had driven under the influence at least once; 30% of women reported the same (survey)[6]
Directional
11In the U.S., 2019: 14% of men reported they had driven after drinking; 7% of women reported driving after drinking (survey)[6]
Directional

Behavioral Factors Interpretation

In Great Britain in 2019, men made up the vast majority of road deaths and were notably more common among younger victims, with 1,098 male road deaths versus 442 female deaths in built-up areas and 44% of the 15 to 29 driver deaths being male.

Incidence & Exposure

1In Denmark, 2018: men accounted for 70% of alcohol-related traffic deaths[7]
Single source
2In Denmark, 2018: women accounted for 30% of alcohol-related traffic deaths[7]
Verified
3In Sweden, 2020: men accounted for 64% of road fatalities involving alcohol[2]
Verified
4In Sweden, 2020: women accounted for 36% of road fatalities involving alcohol[2]
Verified
5In Great Britain, 2019: male casualties (all severities) were 212,000 and female casualties were 146,000[1]
Directional
6In Great Britain, 2019: male fatal casualties were 1,130 and female fatal casualties were 442[1]
Verified
7In Great Britain, 2019: males accounted for 60% of casualties in the 15-24 age band[1]
Verified
8In Great Britain, 2019: females accounted for 40% of casualties in the 15-24 age band[1]
Verified
9In the EU (2019), 61% of drivers killed were male and 39% were female[8]
Directional
10In the EU (2019), males were the majority in road fatalities across age groups, with peak male share at younger ages (2019, distribution by sex)[8]
Single source
11In Australia, 2020: males accounted for 70% of hospitalizations for road crash injury[9]
Directional
12In Australia, 2020: females accounted for 30% of hospitalizations for road crash injury[9]
Verified
13In Great Britain, 2019: male drivers accounted for 67% of those killed or seriously injured[1]
Verified
14In Great Britain, 2019: female drivers accounted for 33% of those killed or seriously injured[1]
Directional

Incidence & Exposure Interpretation

Across multiple countries and years, men consistently account for the majority of alcohol related and crash casualties, for example rising from 61% of drivers killed in the EU (2019) to 70% in Denmark (2018) and Australia (2020).

Cost Analysis

1In the U.S., 2019: estimated total societal cost of motor vehicle crashes was $340 billion[12]
Single source
2The U.S. cost of motor vehicle crashes includes $190 billion for property damage only[12]
Verified
3In the U.S., the cost of motor vehicle crashes includes $57 billion for medical costs[12]
Verified
4In the U.S., the cost of motor vehicle crashes includes $3.0 billion in emergency services[12]
Verified
5In the U.S., the cost of motor vehicle crashes includes $75 billion in lost productivity[12]
Single source
6In the U.S., the cost of motor vehicle crashes includes $17 billion in workplace costs[12]
Single source
7In the U.S., the cost of motor vehicle crashes includes $9 billion in administrative costs[12]
Verified
8In the U.S., average medical cost per crash victim was estimated at $8,100 (FARS-based cost model, year reported in NHTSA economic analysis)[12]
Verified
9In the U.S., average property damage per crash was estimated at $4,200 (NHTSA economic analysis)[12]
Directional
10In the U.S., the cost per fatality is estimated at $9.5 million (value of a statistical life, used in economic analysis)[12]
Verified
11In the U.S., the cost per serious injury is estimated at $240,000 (used in economic analysis)[12]
Verified
12In the U.S., the cost per minor injury is estimated at $17,000 (used in economic analysis)[12]
Verified
13A peer-reviewed study estimates road crash costs account for about 1–3% of GDP across many countries (global economic burden range)[13]
Directional
14WHO estimates the economic cost of road traffic injuries is about 3% of GDP globally (global burden)[11]
Verified
15In OECD countries, road crashes cost an estimated 2% of GDP (OECD report estimate)[14]
Directional
16Insurance premium pricing frameworks in the EU prohibit using gender as a pricing factor for motor insurance (Gender Equality in insurance rule, Directive 2004/113/EC implemented)[15]
Verified
17In the U.S., sex is not used as a rating factor in auto insurance in many states (regulatory constraints; varies by state)[16]
Verified
18In California, auto insurance is regulated such that gender cannot be used as a rating factor (Bill/Proposition framework; Prop 103 and related rules)[17]
Verified
19In the EU, the Unisex rule is adopted under Article 5 of Directive 2004/113/EC (insurance premiums and benefits)[15]
Verified
20In the U.S., the median cost of crash injuries (medical payments) varies by injury severity; NHTSA cost model uses $9.5 million per fatality and $240,000 per serious injury[12]
Single source
21The WHO fact sheet reports road traffic injuries cause about 3% of global GDP losses[11]
Directional

Cost Analysis Interpretation

Across the U.S., motor vehicle crashes cost about $340 billion in 2019, with medical costs at $57 billion and lost productivity at $75 billion, while globally the burden is still around 3% of GDP, showing that the financial toll is both large and remarkably consistent across scales.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source
ChatGPTClaudeGeminiPerplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional
ChatGPTClaudeGeminiPerplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified
ChatGPTClaudeGeminiPerplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

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APA
Alexander Schmidt. (2026, February 13). Car Crash Gender Statistics. Gitnux. https://gitnux.org/car-crash-gender-statistics
MLA
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Chicago
Alexander Schmidt. 2026. "Car Crash Gender Statistics." Gitnux. https://gitnux.org/car-crash-gender-statistics.

References

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sciencedirect.comsciencedirect.com
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oecd.orgoecd.org
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eur-lex.europa.eueur-lex.europa.eu
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naic.orgnaic.org
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insurance.ca.govinsurance.ca.gov
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