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Coverage

  • 85% of total premiums written across the U.S. 100M+ records.
  • Vehicle-level data available for several states.
  • New data will be added as we expand to additional states.

Timeframe

  • Depending on the state, 5 – 20 years of historical crash data.
  • Continuous updates to capture changes over time.

Data Refreshing

  • Lag: New data arrives with a 1 – 12 month delay.
  • Refresh frequency varies by state and data source.

Geographic Coverage

Crash Coverage Light
  • Finished: Green states are fully onboarded with historical data. - Launching Q2 2025: Peach states will be available soon.

Crash Data Lifecycle

The lifecycle of crash data involves multiple steps to ensure completeness, accuracy, and standardization.
  1. Accident Event:
    A crash occurs and is reported to local or state authorities.
  2. Report Filed:
    Police or involved parties file detailed reports documenting the crash. We do not collect crashes that are not reported to authorities.
  3. Data Acquisition & Ingestion:
    We collect and ingest the reports from various state agencies, municipalities, and other sources.
  4. Standardize & Clean:
    Data is normalized and cleaned to ensure consistency across sources for easier analysis and API integration.

Data Dictionary

We curate two specialized datasets, outlined below, to capture critical insights from crash events and vehicle involvement. These datasets, combined with other sources, power our advanced risk models.
Provides a broad view of each crash event, offering insight into crash circumstances, location, and outcomes.
ColumnExplanation
TimestampExact date and time when the crash occurred.
Manner of CollisionDescribes how the vehicles collided (e.g., head-on).
Location (Lat / Long)Geolocation of the crash scene.
Intersection TypeType of intersection (if applicable) where the crash occurred.
SeverityDescribes how severe the crash was (e.g., fatal, minor).
Number of FatalitiesNumber of people killed in the crash.
Number of Serious InjuriesSerious injuries requiring emergency medical care.

Data Accuracy

We rely on the Fatality Analysis Reporting System (FARS), a nationwide database of fatal crashes with strict reporting standards, to ensure data accuracy. Our fatality data consistently aligns with FARS figures, matching within 5% accuracy 88% of the time. If you come across any inaccuracies in our data, please let us know by contacting us.