claritystorm/vehicle-safety-profile

Vehicle Safety Profile — Complaints + Recalls + Fatal Crashes

The only pre-built dataset linking NHTSA complaints, recalls, and FARS fatal crash data by make/model/year. 33K+ vehicle-year profiles with complaint counts, recall flags, do-not-drive alerts, and fatality rates — ready for insurance scoring, litigation research, and automotive safety ML. No data engineering required — the three source datasets are already joined and aggregated.

📊 Records	📅 Coverage	🏷️ License	🔄 Updated
33K+ vehicle profiles	All years on record	Public Domain	Annual

This repo contains a free 1,000-row sample. Full dataset (CSV + Parquet) → claritystorm.com/datasets/vehicle-safety-profile

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Quick Start

from datasets import load_dataset
import pandas as pd

# Load the 1,000-row sample
ds = load_dataset("claritystorm/vehicle-safety-profile")
df = ds["train"].to_pandas()

# Riskiest vehicles: most complaints with crash involvement
risky = df.sort_values("complaints_with_crash", ascending=False)
print(risky[["make", "model", "model_year", "complaints_with_crash",
             "recall_count", "fatality_count"]].head(10))

# Do-not-drive vehicles
dnd = df[df["do_not_drive_flag"] == 1]
print(f"Do-not-drive vehicles in dataset: {len(dnd)}")

# Average mileage at failure by component
print(df.groupby("top_complaint_component")["avg_miles_at_failure"]
      .mean().sort_values().head(10))

Use Cases

• Auto insurance risk scoring — one-row-per-vehicle-year feature set ready for underwriting models
• Product liability & litigation — recall history, do-not-drive flags, and fatality counts by make/model/year
• Used vehicle valuation — safety history as a feature for residual value and depreciation models
• Recall prediction modeling — predict future recall campaigns from complaint patterns and component flags
• Fleet risk management — screen fleet inventory for high-complaint or do-not-drive vehicles
• Consumer vehicle lookup — instant safety profile for any make/model/year combination

Schema (selected fields)

Field	Type	Description
make	string	Vehicle manufacturer (normalized uppercase)
model	string	Vehicle model (normalized uppercase)
model_year	int	Model year
complaint_count	int	Total NHTSA consumer complaints
complaints_with_crash	int	Complaints where a crash was reported
complaints_with_fire	int	Complaints where a fire was reported
complaints_with_injury	int	Complaints reporting at least one injury
avg_miles_at_failure	float	Average mileage at failure
top_complaint_component	string	Most cited component (e.g. ENGINE, STEERING)
recall_count	int	Number of distinct recall campaigns
total_affected_units	int	Total units affected across all recalls
has_safety_recall	int	1 if any safety-critical recall, 0 otherwise
do_not_drive_flag	int	1 if any do-not-drive advisory issued
fatality_count	int	FARS-reported fatalities for this vehicle
fatal_crash_count	int	Distinct fatal crash cases

⬇️ Get the Full Dataset

Tier	Price	Includes
Sample	Free	1,000 rows, Public Domain (this repo)
Complete	$99	Full 33K+ profiles, CSV + Parquet, commercial license
Annual	$199/yr	Complete + annual updates

👉 Purchase at claritystorm.com/datasets/vehicle-safety-profile

Sources

• NHTSA ODI Vehicle Complaints — consumer complaints since 1995
• NHTSA ODI Vehicle Recalls — recall campaigns since 1967
• NHTSA FARS — fatal crash data since 1975

All source data is US federal government work in the public domain (17 U.S.C. 105). Linked, aggregated, and processed by ClarityStorm Data.