VEHICLE COLOR RISK
Does car color affect crash risk? ยท Monash University (MUARC) & BMJ (Auckland, NZ)
SUMMARY
Research from the Monash University Accident Research Centre (MUARC) in Australia and a population-based case-control study published in the British Medical Journal (BMJ) conducted in Auckland, New Zealand, found that black, gray, and silver vehicles carry a statistically higher crash risk than white vehicles.
The effect is most pronounced in low-light conditions โ dawn, dusk, and nighttime โ where black cars showed up to ~47% higher crash risk compared to white. In daylight, the elevated risk is smaller but still statistically significant: black (~12%), gray (~11%), and blue/red (~7% each) above the white baseline.
Note: results for silver specifically vary between studies โ some found no significant difference from white, while others found elevated risk. Silver is presented as "results vary by study." Comprehensive U.S.-specific studies on this topic are limited.
CRASH RISK BY VEHICLE COLOR
White = 1.0 baseline| Color | Risk Label | Daylight Risk | Low-Light Risk |
|---|---|---|---|
โฌBlack | ~12% higher (up to 47% in low light) Highest crash risk โ significantly elevated at dawn/dusk and in low light conditions. | 1.12 | 1.47 |
โฌGray | ~11% higher Consistently elevated risk; lower contrast against road surfaces. | 1.11 | 1.25 |
๐ซBrown | ~9% higher Elevated risk due to low contrast with road and environment. | 1.09 | 1.22 |
๐ฉGreen | ~8% higher Slightly elevated; blends into rural/foliage backgrounds. | 1.08 | 1.20 |
๐ฆBlue | ~7% higher Moderately elevated; darker blues carry higher risk than lighter shades. | 1.07 | 1.19 |
๐ฅRed | ~7% higher Moderately elevated risk compared to white baseline. | 1.07 | 1.18 |
โฌWhite | Baseline (safest) Reference category โ highest visibility across most lighting conditions. | 1.00 | 1.00 |
โฌSilver | Results vary by study Some studies show no significant difference from white; others find elevated risk in low light. Treated as inconclusive. | Results vary by study | Results vary by study |
WHY DOES COLOR MATTER?
The core factor is visibility. Darker vehicle colors โ particularly black, gray, and dark blue โ blend into road surfaces, shadows, and low-light backgrounds. This reduces the contrast between the vehicle and its environment, meaning other drivers have less time to detect and react to the vehicle's presence.
This effect is amplified at dawn and dusk, when ambient light changes rapidly and dark objects become especially difficult to distinguish. White vehicles, by contrast, provide the highest contrast against typical asphalt, roadside foliage, and shadowed areas, giving other drivers the greatest reaction window.
Daylight: Darker colors still show elevated risk, but the gap with white is smaller.
Low light: Risk gap widens sharply โ black cars up to ~47% higher crash risk.
Reaction time: Lower contrast = less detection time = higher collision risk.
Sources & Verification
- Monash University Accident Research Centre (MUARC) โ Vehicle colour and crash risk
- BMJ โ Car colour and risk of car crash injury: population based case control study (Auckland, NZ)
- PMC โ Full text: Car colour and risk of car crash injury
- Note: Comprehensive U.S.-specific studies on vehicle color and crash risk are limited
Educational analysis only โ verify all figures against the cited primary source.