Traffic Accident Data API for Insurance Actuaries

FARS API by farsapi.com gives insurance teams clean, queryable access to NHTSA fatal crash data. Build pricing models with vehicle-level, driver-level, and geographic crash data - no more annual CSV dumps.

Why Insurance Teams Use FARS API

Insurance actuaries need fatal crash data segmented by vehicle type, driver demographics, road conditions, and geography. NHTSA publishes this data - but as 20+ CSV tables with numeric codes that change between years. FARS API from farsapi.com normalizes this into a single REST API with human-readable labels and consistent coding.

Actuarial Pricing Models

Query fatal crashes by the exact dimensions your pricing models need: vehicle make/model/year, driver age, impairment status, road function class, weather, and state/county. The /v1/statistics endpoint returns aggregate breakdowns by year, month, hour, and road type.

# Fatal crashes involving Ford F-150s, 2017-2023 GET /v1/crashes?vehicle_make=Ford&vehicle_body_type=Pickup&year_from=2017 # Aggregate statistics for Texas - by month, hour, road type GET /v1/statistics/summary?state=Texas&year=2023 # Year-over-year fatality trends for California GET /v1/statistics/trends?state=California&metric=fatalities # Drunk driving crashes nationally - for DUI risk scoring GET /v1/crashes?drunk_driver=true&year_from=2022 # All states ranked by fatality rate GET /v1/statistics/states?year=2023

Vehicle Risk Profiles

Filter by vehicle make, model, body type, and model year. Identify which vehicles are overrepresented in fatal crashes. Cross-reference with rollover, fire, and speed data for comprehensive vehicle risk scoring.

Geographic Risk Assessment

Radius search finds all fatal crashes within X miles of any location. State and county breakdowns identify high-risk regions. Crash hotspot detection clusters nearby crashes to find dangerous corridors.

Exposure-adjusted territory rating

Raw fatal crash counts are not enough for territory rating - a busy interstate will always have more crashes than a quiet residential street regardless of safety. FARS API joins every crash to FHWA HPMS road segment data and computes the fatal crash rate per 100 million vehicle miles traveled, by road class:

Road classFatal crashes per 100M VMT (national)
Interstate0.32
Principal Arterial - Other Freeway0.42
Principal Arterial - Other1.34
Minor Arterial1.55
Major Collector1.89

Computed from 204,751 spatially-joined FARS crashes 2017-2023. Use these as defensible per-class baselines in your territory or route models. The /v1/intelligence/location-risk endpoint returns the AADT-adjusted Expected vs Actual ratio for any address - free, no API key required.

Car Accident Data API for Insurance Pricing

The FARS API provides the raw material for auto insurance actuarial models. Every fatal crash record includes vehicle details (make, model, year, body type), person details (age, sex, restraint use, BAC), and crash circumstances (weather, road type, time of day, manner of collision). This is the car accident data API built specifically for insurance pricing workflows.

Historical Accident Data for Insurance Risk Assessment

Access historical accident data for insurance pricing and underwriting going back to 2017. DUI accident statistics, road accident data by state, and traffic fatality statistics are available through both the API and the free statistics endpoints. This is the traffic collision data API for risk assessment that actuarial teams have been building manually from CSV dumps.

Data You Get

Explore API Documentation