Your Car Has a Kill Curve. Sports Cars Peak at 5. Everything Else at 14.

Cross-tabulate 142 high-volume vehicle models across FARS model-year fatality data, group by vehicle class, and plot deaths against vehicle age at crash. What emerges is something I haven't seen published anywhere: class-specific kill curves that diverge so dramatically they look like different datasets entirely.

A kill curve maps how many fatal crashes involve a vehicle at each age. Not the age of the driver. The age of the car. And the shape of that curve tells you whether the machine or the person behind the wheel is the primary failure mode.

Sports cars peak at age 5: 317 fatalities concentrated in vehicles barely past their first oil change interval.^[1] Challengers average just 1.6 years old at their fatal crash. Corvettes and Camaros cluster around ages 2 to 5. These aren't worn-out cars with degraded brakes and bald tires. They're practically new, driven by people who bought them specifically for what eventually kills them.

Everything else follows the opposite pattern. Sedans peak at 14 (5,075 deaths). SUVs peak at 15 (2,993 deaths). Pickups peak at 16 (2,662 deaths). Vans peak at 14 (676 deaths). Four out of five vehicle classes share the same basic shape: a gradual climb, a dip around ages 8-10, then a steep ramp to a mid-teens peak.

The Age-11 Cliff

Across all non-sports-car classes, something dramatic happens at age 11. Fatalities jump 51% in a single year, from 5,348 at age 10 to 8,100 at age 11.^[1] By age 14, they've nearly doubled to 10,622.

Part of this is mechanical. Age 11 in the FARS 2014-2023 window means model year 2007. That's the last full year before NHTSA's Electronic Stability Control mandate took effect for all passenger vehicles by model year 2012.^[2] IIHS estimates ESC reduces fatal single-vehicle crash risk by 56% for SUVs and 49% for cars.^[3] Vehicles built before that mandate are structurally less capable of keeping drivers alive in a loss-of-control event. When those pre-ESC vehicles hit age 11-16, they become the dominant killing machines on American roads.

Part of it is economic. Vehicles older than 10 years cascade to third and fourth owners. Maintenance gets deferred. Tires get stretched. Recall notices go to addresses where nobody lives anymore. NHTSA's own data shows recall completion rates drop below 50% for vehicles older than 10 years.^[4]

Pickups: The Flattest Curve

Pickups kill more evenly across their lifespan than any other class. At age 5, they rack up 1,075 fatalities. At age 16, 2,662. That's a 2.5x ratio from early to peak. Compare sedans (1,448 at age 0 to 5,075 at age 14, a 3.5x ratio) or SUVs (1,065 at age 0 to 2,993 at age 15, a 2.8x ratio with a 4.1x spike from the age-10 trough).

Pickup durability is a selling point. It's also a death sentence. A 2004 Silverado doesn't rust into irrelevance the way a 2004 Cavalier does. It gets handed down, driven hard, and stays on the road long past the point where its safety engineering is two full generations obsolete. At peak age 16, the killing fleet is dominated by GMT800 and T900 platforms with exactly the rollover dynamics and cabin integrity you'd expect from trucks designed in the late 1990s.

What This Means for Buyers

If you're buying a used sports car, the car itself isn't the hazard. The previous owner's driving habits are. A 7-year-old Mustang is past its statistical kill window.

If you're buying anything else used, the math inverts completely. A 12-year-old sedan or SUV is entering its deadliest phase. That $8,000 2014 Escape or 2013 Altima sits right in the kill zone. Check whether it has ESC (mandatory only from MY 2012). Check nhtsa.gov/recalls for your VIN. And know that the safety gap between a 2011 and a 2013 model year, for many vehicles, is the difference between a car with ESC and one without it.

Methodology

We computed approximate vehicle age at fatal crash by subtracting model year from the midpoint of the FARS 2014-2023 data window (2018.5), rounded. This assigns each model-year's death total to a single age bin rather than distributing across the 10-year window. Only models with 200+ total fatalities were included (142 models). Model years before 2000 and after 2020 were excluded to avoid sparse-data artifacts.

Limitations

This analysis does not normalize for fleet size by age. Production volume varies by year, and the 2008-2010 recession reduced vehicle production, creating a "thinning" in the age-8-to-10 cohort that partially explains the dip before the age-11 cliff. Vehicles that survive to older ages may differ systematically from scrapped vehicles (survivorship bias). VMT by vehicle age isn't available, so we can't distinguish whether older vehicles are driven more or just crash more per mile.

Counterargument

The strongest objection: the age-14 peak may simply reflect high-volume production years (2004-2005) appearing at that age in the 2014-2023 data window. If normalized by registered vehicles at each age, the per-vehicle risk curve might flatten considerably. The shape could be driven by fleet composition rather than age-dependent risk. That said, even if per-vehicle risk were flat with age, the absolute body count remains: 10,622 people died in 14-year-old vehicles during this decade, and the safety technology in those vehicles is objectively inferior to anything built after the 2012 ESC mandate.