ROAD SAFETY GUIDE

Understanding Road Fatality Data

What FARS tracks, how the census of fatal crashes works, and what fatality rates per 100K population and per VMT actually mean.

Key Takeaway

FARS is a census, not a survey, of every fatal motor vehicle crash on US public roads. Because it captures 100% of fatal events, it is one of the most complete public safety datasets in the world. The numbers reflect real deaths, not estimates. Comparing states requires using rates (per 100K population or per VMT) rather than raw counts, because states differ enormously in size and driving volume.

What Is FARS?

The Fatality Analysis Reporting System (FARS) is NHTSA's nationwide census of fatal motor vehicle traffic crashes. Established in 1975, it records every crash on a US public road in which at least one person dies within 30 days of the crash. FARS is not a sample, it is a complete accounting of every qualifying event. That completeness makes it the gold standard for traffic safety research.

Data flows from state agencies to NHTSA. After a fatal crash, state coders draw on police accident reports, death certificates, coroner and medical examiner records, emergency medical service records, and hospital data. Each crash is coded against hundreds of standardized data elements, vehicle type, road characteristics, time of day, contributing factors, restraint use, and more. NHTSA then validates the submissions before publishing the annual file.

PlainRoadSafety presents FARS data for all 51 states and 3,000+ counties across 10 cause categories, covering the years 2015–2023. You can explore state-level summaries, cause breakdowns, and safety rankings built directly from this data.

What FARS Tracks

Each FARS record captures three levels of information:

  • Crash level: Date, time, location (state, county, latitude/longitude), road type (urban/rural, interstate, arterial), weather, light conditions, number of vehicles and fatalities.
  • Vehicle level: Make, model, year, vehicle type, speed at impact, travel speed limit, pre-crash maneuver, rollover, fire, hit-and-run status, driver age, sex, and BAC if tested.
  • Person level: Age, sex, person type (driver, passenger, pedestrian, cyclist), injury severity, restraint use, airbag deployment, and cause of death.

From these elements, NHTSA derives the cause categories that appear on PlainRoadSafety: alcohol-impaired driving, speeding, distracted driving, pedestrian crashes, unrestrained occupants, motorcyclists, cyclists, nighttime crashes, weather-related crashes, and work zone fatalities.

Fatality Rate Per 100,000 Population

Raw fatality counts alone are misleading. California reports thousands of traffic deaths per year while Wyoming reports dozens, but that difference mostly reflects population, not road safety. The per-100K rate makes states comparable by controlling for population size.

The formula is straightforward: divide the number of fatalities by the state's population, then multiply by 100,000. The national average typically falls between 11 and 13 deaths per 100K population. States above this threshold have elevated risk; states below it perform better than average. The safest states (Massachusetts, New York, New Jersey) consistently post rates around 5–7 per 100K. The most dangerous states (Mississippi, Wyoming, South Carolina) regularly exceed 20 per 100K, more than three times the national average.

Browse the safest states ranking and the deadliest states ranking to see how all 51 states compare on this metric.

Fatality Rate Per VMT

Vehicle Miles Traveled (VMT) is the total distance driven by all vehicles in an area over a year. NHTSA reports fatality rates per 100 million VMT as a second measure of road danger, one that accounts for how much driving actually occurs.

A state where people drive far more miles will naturally have more crashes than one where people drive less, even if both states' roads are equally dangerous. Per-VMT rates expose the underlying danger level independent of driving volume. Rural states with high per-population rates often look better on a per-VMT basis because their higher death tolls partly reflect higher total mileage driven on rural highways. Conversely, dense urban states sometimes look worse per-VMT because urban stop-and-go travel exposes pedestrians to more risk per mile driven.

NHTSA's target in the National Roadway Safety Strategy is to move toward zero fatalities per VMT over time. The current national rate is approximately 1.3–1.4 deaths per 100 million VMT.

How Cause Categories Work

NHTSA assigns contributing factors to crashes based on coded data elements. Importantly, these categories are not mutually exclusive, a single crash can be tagged with multiple causes. A crash involving a drunk driver who was also speeding and whose passenger was unrestrained counts toward the alcohol, speeding, and unrestrained occupant categories simultaneously. This is why cause percentages on PlainRoadSafety add up to well over 100% when summed.

Each cause percentage reflects what share of all fatalities involved that factor, not the sole cause. Alcohol-impaired driving, for example, was involved in roughly 19% of all US traffic fatalities in the most recent data year, meaning around one in five deaths occurred in a crash where at least one driver had a BAC above 0.08. Explore each cause in detail on the causes page.

Urban vs. Rural Fatalities

FARS distinguishes between urban and rural crashes based on Census Bureau urbanized area classifications. Rural roads consistently account for a disproportionate share of traffic deaths relative to their share of total miles traveled. Roughly half of all US traffic fatalities occur on rural roads, which carry only about 30% of total VMT. This disparity stems from higher posted speed limits, longer emergency response times, less divided highway infrastructure, and greater prevalence of single-vehicle run-off-road crashes on rural two-lane roads.

State-level data on PlainRoadSafety reflects rural-urban composition. States with large rural populations and extensive two-lane highway networks tend to post higher fatality rates than predominantly urban states, independent of driver behavior differences. See how this plays out on the Safest Roads in America guide.

Frequently Asked Questions

What is FARS and who collects the data?

FARS stands for the Fatality Analysis Reporting System, a nationwide census of fatal motor vehicle traffic crashes maintained by the National Highway Traffic Safety Administration (NHTSA). It has been operational since 1975. Data is collected by state authorities, police reports, death certificates, hospital records, and coroner reports, then coded and submitted to NHTSA annually. Every fatal crash on a US public road is required to be reported, making FARS a true census rather than a sample.

What counts as a fatal crash in FARS?

FARS records any crash on a US public road in which at least one person dies within 30 days of the crash as a direct result of the crash. This 30-day rule is important: it means a crash where someone dies days later from injuries still appears in the FARS record for the year the crash occurred. Private roads, driveways, and off-road crashes are excluded unless they occur on a public right-of-way.

What does fatality rate per 100,000 population mean?

Fatality rate per 100,000 population divides the number of traffic deaths by the state or county population, then multiplies by 100,000. This normalizes for population size so that large and small states can be meaningfully compared. For example, a state with 500 deaths and 5 million people has a rate of 10.0 per 100K, identical to a state with 50 deaths and 500,000 people. Rates above the national average (roughly 12–13 per 100K) indicate elevated risk.

What is VMT and why does the fatality rate per VMT matter?

VMT stands for Vehicle Miles Traveled, the total miles driven by all vehicles in a given area over a year. Fatality rate per 100 million VMT measures how dangerous driving actually is relative to how much driving occurs. A rural state may have a high per-population rate simply because people drive more miles. VMT-based rates control for driving exposure and reveal whether a state's roads are inherently more dangerous, independent of how much driving happens. States with high per-population but lower per-VMT rates often have more drivers, not necessarily more dangerous roads.

Why do FARS cause categories add up to more than 100%?

Cause categories in FARS are not mutually exclusive. A single fatal crash can involve multiple contributing factors simultaneously, for example, a crash caused by a speeding driver who was also alcohol-impaired and whose passenger was unrestrained. NHTSA counts each applicable factor separately. This is why, when you add up percentages for alcohol, speeding, distraction, and other causes, the total routinely exceeds 100% of crashes. Each percentage reflects the share of all fatalities where that factor was present.

How current is FARS data and why does it lag the present year?

FARS data typically lags the current calendar year by 12–24 months. After crashes occur, states must collect police reports, death certificates, and supplementary records, code each data element, perform quality checks, and submit to NHTSA. NHTSA then validates and publishes the annual file. PlainRoadSafety uses data through 2023, the most recent finalized annual FARS release. Preliminary estimates for the most recent year are released faster, but final certified data takes longer. Always check the data year label when comparing statistics.

Continue Exploring

Sources

  • NHTSA, Fatality Analysis Reporting System (FARS), 2015–2023
  • NHTSA, FARS Analytical User's Manual
  • NHTSA, National Roadway Safety Strategy (2022)
  • US Census Bureau, Population estimates used for rate calculations
  • FHWA, Vehicle Miles Traveled estimates by state

This content is for informational and research purposes only. PlainRoadSafety is not affiliated with NHTSA or any government agency. For official FARS data and documentation, visit nhtsa.gov.

Every figure on PlainRoadSafety is computed directly from NHTSA FARS census data, no number is typed in by an editor. This page draws directly on NHTSA Fatality Analysis Reporting System (FARS) data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.