Vehicle Safety Ratings

NHTSA FARS national trends & per-model fatality data

Models Tracked
50+ deaths or significant sales
Highest Raw Count
Highest Est. Rate
per 100M est. VMT
Lowest Est. Rate
per 100M est. VMT
Sedan
SUV
Pickup
Van
Sports Car

Data from NHTSA FARS 2014–2023 bulk CSV. Covers ALL occupant fatalities in vehicles involved in fatal crashes, all model years on the road. Estimated rates use sales-based fleet estimates × NHTS class-average annual miles—see Methodology for caveats.

# Vehicle Class 5yr Deaths Annual Avg Est. Fleet Est. Rate
Impaired Driving by Vehicle Model (FARS 2014–2023)
Overall Impairment Rate
of drivers in fatal crashes
Highest Rate Model
Lowest Rate Model
Any Impairment
Alcohol
Drugs

Impairment defined as BAC > 0 (alcohol) or specific drug detected in toxicology (drugs). Testing rates vary significantly by state and jurisdiction — actual impairment rates may be higher than reported. Models with 100+ drivers in fatal crashes shown.

# Vehicle Class Drivers Any % Any # Alc % Alc # Drug % Drug #
Fatal Crash Involvement by Model Year (FARS 2014–2023)
Model Year Range
in dataset
Peak Model Year Overall
most deaths across all models

Shows total occupant deaths by vehicle model year across FARS 2014–2023 data. Older model years have more cumulative years of exposure on the road; this chart reflects fleet-age composition, not inherent vehicle safety differences. Select up to 5 vehicles to compare.

National Traffic Fatality Trends (NHTSA FARS, 2014–2024)
2024 Fatalities (est.)
39,345
down from 40,901 in 2023
2024 Rate (est.)
1.20
per 100M vehicle miles traveled
10-Year Trend
Elevated
peaked at 1.37 in 2021; was 1.08 in 2014

2024 data is an early NHTSA estimate subject to revision. Bars show total fatalities (left axis); line shows rate per 100M VMT (right axis).

Fatalities by Road User Type (NHTSA FARS, 2014–2023)
Passenger Car Occ.
of 2023 fatalities
Light Truck Occ.
of 2023 fatalities
Motorcyclists
of 2023 fatalities
Pedestrians + Cyclists
of 2023 fatalities
Occupant Fatality Rate by Vehicle Class (per 100M VMT)
Motorcycle Rate
31.39
per 100M VMT (2023)
~29x the passenger car rate

Rates calculated from NHTSA FARS fatality counts and FHWA VM-1 vehicle miles traveled. Per-model VMT is not publicly available; these rates apply at the broad vehicle-class level only.

Data Findings — NHTSA FARS 2014–2023
Investigation

One In Four Corvette Drivers In Fatal Crashes Is Impaired. It Gets Worse From There.

The Chevrolet Corvette is America’s dream car. It’s also apparently America’s drink-and-drive car. NHTSA fatality data reveals that 26.2% of Corvette drivers involved in fatal crashes tested positive for alcohol or drugs — the highest impairment rate of any major sports car, and one of the highest of any vehicle on the road.

26.2%
of Corvette drivers in fatal crashes were impaired

For context, the Ford Mustang — a car whose entire cultural identity revolves around “leaving Cars & Coffee into a crowd” — clocks in at 21.9%. The Camaro sits at 23.0%. The Dodge Challenger, the car that literally murdered a tire brand, manages 22.5%. The Corvette beats them all.

But here’s the kicker: the Corvette’s actual death rate (1.52 per 100M VMT) is relatively modest compared to the Mustang’s catastrophic 6.02. This means Corvette drivers are proportionally more hammered but die less often — possibly because the car costs $65,000+ and has better crash structures than a 22-year-old’s used Mustang GT. Money buys safety, even from yourself.

At the very top of the impairment leaderboard? The Buick Park Avenue at 31.7% — nearly one in three. Your grandpa’s land yacht is statistically the most impaired vehicle in America. One imagines the cocktails at the country club hitting different on the drive home.

Class Warfare

The 261x Death Gap: How Your SUV Choice Is Literally a Life-or-Death Decision

If you’re shopping for an SUV, the difference between the right choice and the wrong choice isn’t a better infotainment system. It’s a 261-fold difference in your estimated chance of dying.

261x
death rate difference between worst and best SUV

The Chevrolet Tracker — a vehicle so forgettable that you’re googling it right now — posts an estimated fatality rate of 7.83 deaths per 100 million vehicle miles traveled. The Porsche Macan, a vehicle that costs approximately six Trackers, manages 0.03. That’s not a rounding error. That’s a two-hundred-and-sixty-one-fold gap.

The same pattern repeats across every vehicle class. Sedans span from the Nissan Maxima (5.11) to the Chevrolet Prizm (0.02) — a 256x gap. Pickups range from the Chevy S-10 (4.83) to the Ram 2500 (0.13) — a 37x spread.

The uncomfortable conclusion: vehicle safety is not a spectrum. It’s a cliff. And the vehicles at the bottom of that cliff are overwhelmingly the cheap ones, the old ones, and the ones bought by people who can’t afford to choose differently. The estimated rate methodology here is approximate — but even with generous error bars, the magnitude of these gaps is staggering.

Body Count

The Honda Accord Has Killed More People Than the Mustang, Camaro, Corvette, and Challenger Combined

Let’s play a game. Add up every occupant death in every Ford Mustang, Chevrolet Camaro, Chevrolet Corvette, and Dodge Challenger over a decade of FARS data. You get 4,648 deaths. A horrifying number. Now look at the Honda Accord: 7,102 deaths. The boring beige sedan your dental hygienist drives has a higher body count than the four horsemen of American muscle put together.

7,102
Honda Accord occupant deaths, 2014–2023

Before you swear off Accords: this is a fleet-size story, not a safety story. There are roughly 10 million Accords on American roads versus maybe 500,000 Corvettes. The Accord’s estimated death rate (3.07 per 100M VMT) is half the Mustang’s (6.02). Per mile driven, you’re twice as safe in the Accord.

But raw numbers have their own brutal truth. The top five killers by total body count are exactly the five best-selling vehicles in America: Chevy Silverado (9,591), Ford F-150 (9,194), Honda Accord (7,102), Honda Civic (6,553), and Toyota Camry (6,328). Together, these five models account for 43,768 deaths in ten years — more than the entire annual US traffic death toll. Ubiquity is its own kind of danger.

Sobriety Report

The Chevy Astro Van: Where 27% of Drivers in Fatal Crashes Were Loaded

You might expect high impairment rates from Mustangs and Corvettes. You probably don’t expect them from a vehicle primarily used to haul soccer equipment and drywall. Yet the Chevrolet Astro Van posts a 27.0% impairment rate — higher than the Mustang (21.9%), the Camaro (23.0%), and every single pickup truck in the database.

27.0%
Chevy Astro Van driver impairment rate in fatal crashes

The Astro isn’t alone. The Ford Windstar — the official minivan of “my kid has a travel baseball tournament” — hits 23.1%. Even the Dodge Grand Caravan, possibly the most aggressively boring vehicle ever manufactured, clocks 15.3%.

Meanwhile, at the bottom of the impairment charts, you’ll find the Subaru Ascent at 8.2% and the Toyota Land Cruiser at 8.9%. The vehicles with the soberest drivers are the ones marketed to outdoorsy types and international diplomats. The ones with the drunkest drivers are the ones you can buy for $3,000 on Facebook Marketplace at 2 AM.

This tracks with a grim demographic reality: impairment in fatal crashes correlates more with vehicle age and price point than vehicle type. Cheap, old vehicles — regardless of whether they’re sports cars or minivans — attract drivers who are statistically more likely to drive impaired. The Astro Van isn’t a party car. It’s just cheap.

Existential Dread

The Toyota Land Cruiser Paradox: Sober Drivers, Maximum Death

The Toyota Land Cruiser has the third-lowest impairment rate of any vehicle in the database: just 8.9% of its drivers in fatal crashes tested positive for alcohol or drugs. These are the soberest drivers on American roads, and they are doing everything right. They are also dying at 6.27 deaths per 100 million VMT — the third-highest rate of any vehicle.

6.27
Land Cruiser death rate — 3rd highest, despite 3rd-lowest impairment

This is the most unsettling data point in the entire database. The Corvette kills you because you’re drunk. The Mustang kills you because you’re 22 and invincible. The Land Cruiser kills you because — well, that’s the question, isn’t it?

One hypothesis: the Land Cruiser’s demographics skew toward rural, high-speed roads. Another: it’s a 6,000-pound body-on-frame truck with a high center of gravity that owners drive like a sedan. A third: the small fleet size (an estimated 43,750 on the road, with just 343 deaths over the decade) amplifies statistical noise. But even granting wide error bars, the combination of stone-cold-sober drivers and top-tier death rates is a genuine puzzle.

Compare: the Tesla Model Y posts 0.03 deaths per 100M VMT. The Subaru Ascent: 0.16. Modern crossover SUVs are extraordinarily safe. The Land Cruiser is not a modern crossover. It’s a 1950s truck architecture wearing a $90,000 suit, and the data doesn’t care how prestigious the badge is.

Methodology note: All figures are derived from NHTSA FARS data (2014–2023). “Estimated death rates” use a fleet-size proxy based on average annual sales, not actual registration counts — see the Methodology tab for caveats. Impairment percentages reflect toxicology results where testing was performed; actual rates may be higher. These articles are AI-generated analysis of public safety data, written in an editorial style. Individual vehicle safety depends on many factors not captured here, including driver behavior, road conditions, vehicle age, and maintenance.

Methodology & Sources

NHTSA FARS national data

The Fatality Analysis Reporting System (FARS) is a census of all fatal motor vehicle crashes in the United States, maintained by NHTSA. FARS covers all crashes nationally and can be normalized by vehicle miles traveled (VMT) — but only at the broad vehicle-class level (passenger cars, light trucks, motorcycles), not per make/model.

VMT data comes from the FHWA Highway Statistics Table VM-1, which estimates total miles driven annually by vehicle type. Dividing FARS fatalities by VMT yields the "fatality rate per 100 million VMT" — the standard metric used in NHTSA Traffic Safety Facts publications.

  • 2024 data is an early estimate based on NHTSA's preliminary projections and is subject to revision.
  • Fatalities by road user type (2014–2023) are final FARS counts.
  • Per-class VMT rates use FHWA VM-1 data matched to FARS occupant fatality counts for the corresponding vehicle type.

FARS per-model estimated rates

The FARS per-model section aggregates all occupant fatalities across 2014–2023 from NHTSA FARS bulk CSV downloads, grouped by make/model. This data includes:

  • All occupant fatalities (drivers + passengers), not just driver deaths
  • All model years on the road, not a single MY cohort
  • All vehicles involved in fatal crashes, regardless of registration volume

Since per-model VMT data does not exist publicly, estimated fatality rates use a proxy method:

  • Fleet estimate: publicly reported average annual US sales × fleet multiplier (12.5 yr average vehicle age × 0.70 survival discount ≈ 8.75 effective fleet years)
  • Annual VMT estimate: estimated fleet × NHTS class-average annual miles (sedans: 11,500 mi; SUVs: 12,500 mi; pickups: 13,500 mi; vans: 11,800 mi; sports cars: 8,000 mi)
  • Rate: 10-year total deaths ÷ (estimated annual VMT × 10 years ÷ 100,000,000)

Key caveats:

  • Sales figures ≠ registrations — fleet size estimates are approximate
  • All vehicles within a class are assumed to drive the same annual miles
  • Does not account for driver demographics, geographic variation, or vehicle age distribution
  • Includes models with 50+ deaths or significant annual sales (>1k) for rate comparison

Impaired driving analysis

Impairment data comes from the FARS PERSON.csv file, filtered to drivers only (PER_TYP = 1). Each driver record is joined to its vehicle record via ST_CASE and VEH_NO.

  • Alcohol positive: DRINKING = 1 (police-reported) OR ALC_RES (BAC test result) between 1–94 (BAC > 0.00 g/dL)
  • Drug positive: DRUGRES1/2/3 values 100–295 (specific drug detected in toxicology) OR DRUGS = 1 in older files
  • Any impairment: alcohol positive OR drug positive

Key caveats:

  • Toxicology testing rates vary significantly by state and jurisdiction — some states test nearly all fatally-involved drivers, others test far fewer
  • Untested drivers are coded as unknown, not negative — actual impairment rates are likely higher than reported
  • Only models with 100+ drivers in fatal crashes are shown to ensure statistical significance

Model year analysis

The MOD_YEAR field from FARS VEHICLE.csv identifies the model year of each vehicle involved in a fatal crash. Deaths are aggregated by (make, model, model year) across the 2014–2023 observation period.

  • Older model years have more cumulative years of exposure on the road during the observation period, creating a natural age-related skew
  • This chart reflects fleet-age composition and crash involvement, not inherent safety differences between model years
  • Model years with fewer than 5 deaths are excluded
  • Invalid model year values (0, 9998, 9999, pre-1980, or future years) are excluded

Scope: fatalities only

This dashboard covers fatal crashes only from the FARS census. NHTSA also maintains the Crash Report Sampling System (CRSS), which covers all police-reported crashes (including injuries and property damage) — but CRSS is a probability-based sample, not a census, and is not incorporated here.

Limitations

  • NHTSA/FARS data: VMT normalization is only available at the vehicle-class level, not per make/model. Class-level rates mask variation within each category.
  • FHWA VMT estimates are modeled from traffic counts and may not perfectly reflect actual travel.
  • FARS per-model: Estimated rates depend on sales-as-fleet-proxy assumption. Vehicles with much higher or lower than average usage will have distorted rates.

Sources

NHTSA FARS database →  |  NHTSA Traffic Safety Facts →
FHWA Table VM-1 →
FARS bulk CSV downloads →  |  NHTS (National Household Travel Survey) →
FARS/CRSS Coding and Validation Manual →