rebrowser/carfax-dataset

Carfax Used Car Listings & Dealer Inventory Dataset

A sample of Carfax marketplace listings with vehicle specs, mileage, dealer ratings, history verification, reliability badges, and One Price value estimates.

This dataset is a preview sample of the Carfax dataset published by Rebrowser. If you're doing academic research, you may be eligible for free access to a much larger slice — see Free Datasets for Research.

This dataset contains 1 entity, each in its own folder: Car Listings (car-listings). See below for a full field breakdown, sample counts, and data distributions for each.

Found this useful? ❤️ Like this dataset on HuggingFace to help us keep publishing fresh data. Found an error? Let us know.

---

Car Listings

A sample of Carfax marketplace listings with year, make, model, mileage, body style, drivetrain, dealer location, ratings, history verification, and reliability data.

4,025,429 total records from 2025-11-16 to 2026-04-26, up to 30,000 rows in this sample (0.75% of full dataset). Exported as one file per day, up to 1,000 rows each, last 30 days retained.

Field	Type	Fill Rate	Description
_primaryKey	string	100%	Unique identifier for this record
_firstSeenAt	datetime	100%	First time this record was seen
_lastSeenAt	datetime	100%	Last time this record was updated
listingId 🔒	string	100%	Unique CARFAX listing identifier (VIN + dealer code + date)
vin 🔒	string	100%	Vehicle Identification Number (17-character unique code)
stockNumber	string	98%	Dealer stock number
year	float	100%	Vehicle model year
make	string	100%	Vehicle manufacturer (e.g., Nissan, Toyota, Honda)
model	string	100%	Vehicle model (e.g., Sentra, Camry, Accord)
trim	string	100%	Vehicle trim level (e.g., SV, EX, Limited)
subTrim	string	14%	Vehicle sub-trim (often "Unspecified")
bodyStyle	string	100%	Vehicle body style (e.g., Sedan, SUV, Truck, Coupe)
exteriorColor	string	100%	Vehicle exterior color (e.g., White, Black, Red)
interiorColor	string	91%	Vehicle interior color (e.g., Black, Gray, Tan)
engine	string	100%	Engine type (e.g., "4 Cyl", "6 Cyl", "8 Cyl")
displacement	string	100%	Engine displacement (e.g., "2.0 L", "3.5 L")
drivetrain	string	100%	Drivetrain type (e.g., FWD, RWD, AWD, 4WD)
transmission	string	100%	Transmission type (e.g., Automatic, Manual, CVT)
fuelType	string	100%	Fuel type (e.g., Gasoline, Diesel, Electric, Hybrid)
mileage	float	100%	Odometer reading in miles
listPrice 🔒	float	100%	Listed price in USD
currentPrice 🔒	float	100%	Current asking price in USD
onePrice	float	88%	CARFAX One Price value estimate in USD
badge	string	81%	CARFAX value badge (e.g., GOOD, GREAT, FAIR)
vehicleCondition	string	100%	Vehicle condition (e.g., Used, Certified, New)
cabType	string	22%	Truck cab type (e.g., Crew Cab, Extended Cab, Regular Cab)
bedLength	string	17%	Truck bed length (e.g., Short Bed, Long Bed)
mpgCity	float	88%	City fuel economy in MPG
mpgHighway	float	88%	Highway fuel economy in MPG
mpgCombined	float	88%	Combined fuel economy in MPG
noAccidents	bool	68%	Whether vehicle has no reported accidents
serviceRecords	bool	98%	Whether vehicle has service history records
personalUse	bool	71%	Whether vehicle was used for personal use
oneOwner	bool	51%	Whether vehicle has only one previous owner
ownerHistory	array	97%	Array of owner history records (JSON strings with ownerNumber, purchaseDate, endOwnershipDate, city, state)
serviceRecordCount	float	100%	Number of service history records
imageCount	float	95%	Number of listing photos
followCount	float	100%	Number of users following this listing
firstSeen	string	100%	Date listing first appeared (YYYY-MM-DD)
recordType	string	100%	CARFAX record type (e.g., ENHANCED, BASIC)
sellerType	string	100%	Seller type (e.g., NEW, USED)
advantage	bool	99%	Whether seller has CARFAX Advantage badge
sellerName 🔒	string	100%	Seller/dealer name
sellerCity	string	100%	Seller city
sellerState	string	100%	Seller state code
sellerZip	string	100%	Seller ZIP code
sellerPhone 🔒	string	100%	Seller phone number
sellerRating	float	95%	Seller average rating (1-5 scale)
sellerReviewCount	float	95%	Number of seller reviews
sellerId	string	100%	CARFAX seller/dealer identifier
sellerInventoryUrl 🔒	string	100%	Seller inventory website URL
sellerLatitude 🔒	float	100%	Seller location latitude
sellerLongitude 🔒	float	100%	Seller location longitude
sellerGroupName 🔒	string	76%	Seller group/parent company name
sellerLogoUrl 🔒	string	45%	Seller logo image URL
sellerBadgeExperience	string	100%	Seller badge experience type (e.g., TOPRATED, LIFETIME, ADVANTAGE)
reliabilityBadge	string	29%	Overall reliability badge (e.g., GOOD, AVERAGE, POOR)
reliabilityCostBadge	string	29%	Repair cost badge (e.g., AVERAGE, LOW, HIGH)
reliabilityRiskBadge	string	29%	Repair risk badge (e.g., AVERAGE, LOW, HIGH)
reliabilityAvgCost	float	29%	Average repair cost in USD
listingUrl 🔒	string	100%	Vehicle listing page URL
images 🔒	array	95%	Array of large image URLs
imagesCount	float	95%	Number of listing images
topOptions	array	98%	Top vehicle options/features
topOptionsCount	float	98%	Number of top options/features
otherOptions	array	100%	Additional vehicle options/features
otherOptionsCount	float	100%	Number of other options/features
description	string	92%	Seller description of the vehicle
icrUrl 🔒	string	100%	URL to CARFAX vehicle history report
windowSticker 🔒	string	55%	URL to vehicle window sticker
sortScore	float	100%	CARFAX listing sort/ranking score
snapshotDamageSeverity	string	8%	Damage severity from snapshot (e.g., minor, moderate, severe)

🔒 Premium fields are included in the data files but their values are replaced with [PREMIUM]. To access real values, use our website.

Field Distributions

Body Style Distribution (bodyStyle)

Value	Count	Share
SUV	1,662,961	████████░░░░░░░░░░░░ 41.3%
Sedan	871,065	████░░░░░░░░░░░░░░░░ 21.6%
Pickup	865,196	████░░░░░░░░░░░░░░░░ 21.5%
Coupe	142,980	█░░░░░░░░░░░░░░░░░░░ 3.6%
Minivan	116,146	█░░░░░░░░░░░░░░░░░░░ 2.9%
Hatchback	114,459	█░░░░░░░░░░░░░░░░░░░ 2.8%
Wagon	96,080	░░░░░░░░░░░░░░░░░░░░ 2.4%
Convertible	74,427	░░░░░░░░░░░░░░░░░░░░ 1.8%
Van	61,294	░░░░░░░░░░░░░░░░░░░░ 1.5%
Chassis	20,816	░░░░░░░░░░░░░░░░░░░░ 0.5%

Top Makes (make)

Value	Count	Share
Ford	516,722	████░░░░░░░░░░░░░░░░ 19.1%
Chevrolet	453,896	███░░░░░░░░░░░░░░░░░ 16.7%
Toyota	409,261	███░░░░░░░░░░░░░░░░░ 15.1%
Honda	272,322	██░░░░░░░░░░░░░░░░░░ 10.0%
Jeep	195,646	█░░░░░░░░░░░░░░░░░░░ 7.2%
Nissan	193,589	█░░░░░░░░░░░░░░░░░░░ 7.1%
GMC	186,726	█░░░░░░░░░░░░░░░░░░░ 6.9%
Ram	168,376	█░░░░░░░░░░░░░░░░░░░ 6.2%
BMW	163,489	█░░░░░░░░░░░░░░░░░░░ 6.0%
Mercedes-Benz	150,040	█░░░░░░░░░░░░░░░░░░░ 5.5%

Drivetrain Distribution (drivetrain)

Value	Count	Share
FWD	1,185,688	██████░░░░░░░░░░░░░░ 29.5%
4WD	1,150,636	██████░░░░░░░░░░░░░░ 28.6%
AWD	1,106,526	█████░░░░░░░░░░░░░░░ 27.5%
RWD	581,053	███░░░░░░░░░░░░░░░░░ 14.4%
Unspecified	1,525	░░░░░░░░░░░░░░░░░░░░ 0.0%
2WD	1	░░░░░░░░░░░░░░░░░░░░ 0.0%

Listings by State (sellerState)

Value	Count	Share
TX	439,387	████░░░░░░░░░░░░░░░░ 20.0%
CA	417,719	████░░░░░░░░░░░░░░░░ 19.1%
FL	393,951	████░░░░░░░░░░░░░░░░ 18.0%
NC	143,618	█░░░░░░░░░░░░░░░░░░░ 6.6%
OH	140,209	█░░░░░░░░░░░░░░░░░░░ 6.4%
NJ	138,829	█░░░░░░░░░░░░░░░░░░░ 6.3%
GA	133,980	█░░░░░░░░░░░░░░░░░░░ 6.1%
PA	131,623	█░░░░░░░░░░░░░░░░░░░ 6.0%
AZ	128,833	█░░░░░░░░░░░░░░░░░░░ 5.9%
IL	123,484	█░░░░░░░░░░░░░░░░░░░ 5.6%

Value Badge Distribution (badge)

Value	Count	Share
GREAT	1,505,671	█████████░░░░░░░░░░░ 46.1%
GOOD	1,035,182	██████░░░░░░░░░░░░░░ 31.7%
FAIR	727,832	████░░░░░░░░░░░░░░░░ 22.3%

Vehicle Condition (vehicleCondition)

Value	Count	Share
Used	4,024,848	████████████████████ 100.0%
New	581	░░░░░░░░░░░░░░░░░░░░ 0.0%

---

Pre-built Views on Rebrowser

Rebrowser web viewer lets you filter, sort, and export any slice of this dataset interactively. These pre-built views are ready to open:

Car Listings

Listings with History Verification — 3,759,677 records

↳ [{"sort":"currentPrice DESC"}]

Clean Title No-Accident Listings — 2,536,331 records

↳ [{"field":"noAccidents","op":"isTrue"},{"sort":"currentPrice DESC"}]

New Vehicle Listings — 557 records

↳ [{"field":"vehicleCondition","op":"is","value":"New"},{"sort":"currentPrice DESC"}]

Advantage Dealer Listings — 3,703,379 records

↳ [{"field":"advantage","op":"isTrue"},{"sort":"sellerRating DESC"}]

One-Owner Vehicle Listings — 1,887,198 records

↳ [{"field":"oneOwner","op":"isTrue"},{"sort":"mileage ASC"}]

See all 28 views →

---

Code Examples

import pandas as pd
from pathlib import Path

# ── Car Listings ───────────────────────────────────────────────────────────
# Load the last 7 days of listings
files = sorted(Path('rebrowser/carfax-dataset/car-listings/data').glob('*.parquet'))[-7:]
listings = pd.concat([pd.read_parquet(f) for f in files])

# Top 10 makes by listing count
print(listings['make'].value_counts().head(10).to_string())

# Average mileage by body style
print(listings.groupby('bodyStyle')['mileage'].mean().sort_values().to_string())

# No-accident listings by state — top 10 states
clean = listings[listings['noAccidents'] == True]
print(clean['sellerState'].value_counts().head(10).to_string())

# Dealer ratings: top-rated sellers with 50+ reviews
top_dealers = listings[listings['sellerReviewCount'] >= 50]
print(top_dealers.groupby('sellerId')['sellerRating']
      .first().sort_values(ascending=False).head(10).to_string())

# Badge distribution (GOOD, GREAT, FAIR) by drivetrain
print(pd.crosstab(listings['drivetrain'], listings['badge']).to_string())

# One-owner SUVs with service records
one_owner_suvs = listings[
    (listings['oneOwner'] == True) &
    (listings['bodyStyle'] == 'SUV') &
    (listings['serviceRecords'] == True)
]
print(f"One-owner SUVs with service records: {len(one_owner_suvs)}")
print(one_owner_suvs[['make', 'model', 'year', 'mileage', 'sellerState']]
      .sort_values('mileage').head(10).to_string(index=False))

---

Use Cases

Used Car Valuation

Build regression models predicting used car values from mileage, body style, drivetrain, and market location. Validate against One Price estimates and reliability badges.

Dealer Benchmarking

Rank dealers by rating, review count, and inventory size across states. Identify top-performing dealer groups and study how seller reputation correlates with listing activity.

Inventory Mix Analysis

Analyze body style, fuel type, and drivetrain distributions across geographic markets. Detect which vehicle segments are over- or under-represented in specific states.

Vehicle History Signals

Study how no-accident history, one-owner status, and service record counts vary by make, model, and age. Quantify the frequency of clean-history vehicles across market segments.

---

Full Dataset on Rebrowser

This is a 1,000-row preview sample. The full dataset is at rebrowser.net/products/datasets/carfax

Doing academic research? You may qualify for free access to a larger slice. See Free Datasets for Research.

On Rebrowser you can:

• Filter before you buy — use the web UI to apply filters on any field and sort by any column. Preview results before purchasing. You only pay for records that match your criteria.
• Export in your format — CSV, JSON, JSONL, or Parquet depending on your plan.
• Access via API — integrate dataset queries into your pipelines and workflows.
• Choose your freshness — plans range from a 14-day lag to real-time data with no delay.
• Select only the fields you need — keep exports lean. Premium fields with richer data are available on higher plans.

Pricing starts at $2 per 1,000 rows with volume discounts.

---

License & Terms

Free for research and non-commercial use with attribution. See license terms and how to cite.

@misc{rebrowser_carfax,
  author       = {Rebrowser},
  title        = {Carfax Used Car Listings & Dealer Inventory Dataset},
  year         = {2026},
  howpublished = {\url{https://rebrowser.net/products/datasets/carfax}},
  note         = {Accessed: YYYY-MM-DD}
}

Commercial use requires a paid license — see pricing. Use of this data is governed by the Rebrowser Terms of Use, which may be updated at any time independently of this dataset.

---

Disclaimer

Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Carfax. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Carfax user credentials. By using this dataset, you agree to comply with Carfax's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset does not infringe on the rights of any third party.

You can also find this data on GitHub, Kaggle, Zenodo.