Key Takeaways
- The fatality rate for drivers aged 75+ was 16.0 per 100 million vehicle miles traveled in 2022 (NHTSA)
- Average annual death rate for drivers aged 65+ was 9.6 per 100,000 licensed drivers in 2017
- In 2021, 19% of U.S. adults aged 65+ reported having trouble with nighttime driving (NSC survey)
- In 2018, 22% of adults aged 65+ reported they sometimes drive when feeling unwell (survey reported by AARP)
- PACE (Professional Assisted Driving Evaluations) programs cite that over 1,000 occupational and physical therapists provide driving evaluations in the U.S. (AOTA directory estimate)
- 30% of adults aged 65+ reported trouble remembering or concentrating in 2021
- 54% of drivers age 65+ performed worse on a divided-attention task than younger drivers (mean impairment score difference) in a driving simulator study by Lundberg et al., 2015
- Older adults are about 2x as likely as younger adults to have crash-related cognitive impairment (odds ratio reported as 2.0 in meta-analysis)
- The global ADAS market was valued at $42.2 billion in 2021 and is projected to reach $148.4 billion by 2030
- By 2023, 72% of new vehicles worldwide had some form of driver monitoring (Eyes-On/attention monitoring) (Yole report)
- The global driver monitoring system market was $7.6 billion in 2023 and expected to grow at a CAGR of 24.5% through 2030
- The direct and indirect cost of motor vehicle crashes in the U.S. was $340 billion in 2019 (NHTSA)
- Annual cost of Alzheimer’s disease in the U.S. was $321 billion in 2022 (Alzheimer’s Association)
- The cost-effectiveness of driver training for older adults improved outcomes at a reported incremental cost-effectiveness ratio (ICER) of €0 in one RCT intervention (published economic evaluation)
In 2022, drivers 75 and older had the highest fatality rate, highlighting urgent support for safer mobility.
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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.
Thomas Lindqvist. (2026, February 13). Elderly Driving Statistics. Gitnux. https://gitnux.org/elderly-driving-statistics
Thomas Lindqvist. "Elderly Driving Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/elderly-driving-statistics.
Thomas Lindqvist. 2026. "Elderly Driving Statistics." Gitnux. https://gitnux.org/elderly-driving-statistics.
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