Key Takeaways
- Road traffic injuries cost most countries 1–3% of their gross domestic product (WHO estimate), quantifying economic burden
- 52% of US police-reported crashes involved at least one roadway hazard related factor (NHTSA crash factor distribution)
- 75% of crashes occur on roads with speed limits of 45 mph or higher (US analysis), linking speed environment to crash outcomes
- A 2019 Cochrane review found seat belts reduce the risk of death by 45% (systematic review)
- In a meta-analysis, airbags reduced driver fatalities by about 15% (peer-reviewed synthesis)
- Speed limiters and adaptive cruise control are associated with 10–20% reductions in speed-related crashes (OECD/ITF policy summary range)
- 3,308 motor vehicle traffic fatalities occurred in the United States in 2019 among people ages 65 and older
- There were 7,290,000 people injured in road traffic accidents in the EU in 2022
- 4.5% of the global road traffic fatality burden occurs among people aged 5–14 years
- In the United States, 10% of passenger vehicle occupants killed in 2022 were reported to be partially or completely ejected from the vehicle
- IIHS found that vehicles with good headlights are 20% less likely to be involved in fatal crashes at night (analysis of US crash data)
- The EU Regulation (EU) 2015/758 required installation of eCall systems in new models of vehicles from April 2015 for type approval and from April 2018 for all new vehicles
- Over 1.6 million lives were saved globally by seat belt and child restraint effectiveness improvements between 1990 and 2019 (GBD road injury burden model output)
- A 2022 analysis estimated that reducing speed limit by 5 km/h would reduce crash injuries by about 30% on average in Europe (systematic meta-analysis across studies)
- A 2016 systematic review found that lowering speed by 1 km/h reduces fatalities by about 2% to 3% (meta-analysis of speed–risk relationships)
Speed and restraint technologies can cut serious crashes, yet millions still die and get injured yearly.
Global Burden
Global Burden Interpretation
Safety Efficacy
Safety Efficacy Interpretation
Fatalities & Injuries
Fatalities & Injuries Interpretation
Airbags, Ejection & Head Impact
Airbags, Ejection & Head Impact Interpretation
Crash Avoidance Tech
Crash Avoidance Tech Interpretation
Cost Analysis
Cost Analysis Interpretation
Speed Management
Speed Management Interpretation
Impaired Driving
Impaired Driving Interpretation
Policy And Regulation
Policy And Regulation Interpretation
Fatalities And Injuries
Fatalities And Injuries Interpretation
Risk Factors
Risk Factors Interpretation
Market And Technology
Market And Technology Interpretation
How We Rate Confidence
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.
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
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
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
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.
Stefan Wendt. (2026, February 13). Car Safety Statistics. Gitnux. https://gitnux.org/car-safety-statistics
Stefan Wendt. "Car Safety Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/car-safety-statistics.
Stefan Wendt. 2026. "Car Safety Statistics." Gitnux. https://gitnux.org/car-safety-statistics.
References
- 1who.int/news-room/fact-sheets/detail/road-traffic-injuries
- 2crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813307
- 4crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813308
- 15crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813361
- 22crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813199
- 23crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813224
- 24crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813410
- 25crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813197
- 3rosap.ntl.bts.gov/view/dot/46265
- 5worldbank.org/en/topic/transport/brief/roadsafety
- 6cochranelibrary.com/cdsr/doi/10.1002/14651858.CD013543.pub2/full
- 7pubmed.ncbi.nlm.nih.gov/26283270/
- 9pubmed.ncbi.nlm.nih.gov/21121606/
- 10pubmed.ncbi.nlm.nih.gov/19042089/
- 11pubmed.ncbi.nlm.nih.gov/16775176/
- 8itf-oecd.org/sites/default/files/docs/speed-management.pdf
- 12nsc.org/safety/safety-issue/older-drivers/seniors-and-road-safety
- 13ec.europa.eu/eurostat/statistics-explained/index.php?title=Road_accidents_-_statistics
- 14ghdx.healthdata.org/gbd-results-tool?params=...&gbd_id=
- 18ghdx.healthdata.org/gbd-results-tool
- 16iihs.org/topics/headlights
- 17eur-lex.europa.eu/eli/reg/2015/758/oj
- 19sciencedirect.com/science/article/pii/S0001457519302232
- 20sciencedirect.com/science/article/pii/S0001457516301430
- 21sciencedirect.com/science/article/pii/S0001457521000179
- 26precedenceresearch.com/automated-emergency-braking-market







