rebrowser/iaai-dataset

IAAI Insurance Auto Auction Dataset

Sample of observed IAAI insurance auto auction lots with damage assessments, title status, bidding data, and branch locations.

This dataset is a preview sample of the IAAI 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: Auction Listings (auction-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.

---

Auction Listings

IAAI insurance auto auction lots with vehicle specs, damage classifications, loss types, title status, mileage, drivetrain, branch locations, and auction scheduling.

1,027,826 total records from 2025-11-16 to 2026-08-09, up to 30,000 rows in this sample (2.9% 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
stockNumber	string	100%	Unique IAA stock number (auction identifier)
itemId	string	100%	IAA item ID for the auction listing
salvageId	string	100%	IAA salvage ID (used in image URLs)
auctionId	string	100%	IAA auction ID
vin 🔒	string	100%	Vehicle Identification Number
vinStatus	string	100%	VIN validation status (OK, Missing, Damaged, Retagged, Altered) - fraud indicator
year	float	100%	Vehicle model year
make	string	100%	Vehicle manufacturer (e.g., CHEVROLET, TOYOTA)
model	string	100%	Vehicle model name (e.g., SILVERADO 1500, CAMRY)
series	string	90%	Vehicle series/trim (e.g., LTZ, SE, LS)
bodyStyle	string	100%	Body style (SEDAN, EXTENDED CAB, SUV, COUPE, etc.)
exteriorColor	string	100%	Exterior color (WHITE, BLACK, GRAY, etc.)
vehicleType	string	100%	Inventory type (AUTOMOBILE, MOTORCYCLE, etc.)
vehicleCategory	string	100%	Inventory category (VEHICLE, EQUIPMENT, etc.)
vehicleClass	string	100%	Vehicle class (Sedan, Truck, SUV, Coupe, etc.)
inventoryStatus	string	100%	Inventory status code (RS = Ready for Sale)
interiorColor	string	20%	Interior color
engine	string	100%	Engine description (e.g., "5.3L V-8 285HP")
cylinders	float	98%	Number of engine cylinders
transmission	string	100%	Transmission type (Automatic, Manual, Unknown)
drivetrain	string	100%	Drivetrain type (FWD, RWD, 4x4, AWD)
fuelType	string	100%	Fuel type (Gasoline, Diesel, Electric, Hybrid, FlexibleFuel)
hybridIndicator	bool	100%	Whether vehicle is a hybrid
primaryDamage	string	100%	Primary damage (FRONT END, REAR, LEFT SIDE, etc.)
primaryDamageCode	string	100%	Primary damage code (F, R, LF, RF, etc.)
secondaryDamage	string	52%	Secondary damage description
secondaryDamageCode	string	52%	Secondary damage code
lossType	string	100%	Loss type (Collision, Theft, Fire, Water, Other)
lossTypeCode	string	100%	Loss type code (0=Collision, 1=Fire, 2=Other, 3=Theft, 4=Water)
titleType	string	100%	Title document type (BillOfSale, Certificate, etc.)
titleCode	string	100%	Title code (SAL=Salvage, CLR=Clear, ORG=Original, BOS=Bill of Sale, NRP=Non-Repairable, JNK=Junk)
titleBrand	string	12%	Title brand (REBUILT, REPAIRABLE, REPOSSESSED, etc.)
titleState	string	100%	State where title is held (e.g., TX, CA, FL)
titleNotes	string	12%	Additional title notes/conditions
tboIndicator	bool	100%	Title Buyer Only - requires special buyer license
hasKeys	bool	100%	Whether keys are present
runAndDrive	bool	100%	Whether vehicle runs and drives - critical for buyers
startsDesc	string	100%	Start condition (Starts, Stationary)
mileage	float	97%	Odometer reading in miles
odometerBrand	string	100%	Odometer status (ACTUAL, NOT ACTUAL, NOT REQUIRED/EXEMPT, EXCEEDS MECHANICAL LIMITS, MISSING)
odometerUnit	string	100%	Odometer unit of measure (mi, km)
airbagState	string	100%	Airbag condition (Intact, Deployed, Missing, None)
vehicleGrade	float	95%	Vehicle condition grade (0-100 scale)
vehicleCondition	string	20%	Overall condition (Complete, Partially Dismantled, Body Only, Frame Only)
catalyticConverter	string	100%	Catalytic converter status (Present, Missing) - theft indicator
battery	string	20%	Battery status (Present, Missing, etc.)
radiator	string	20%	Radiator status (Present, Missing, Damaged)
crExists	bool	100%	Whether condition report exists
buyNowPrice 🔒	float	100%	Buy Now price in USD
minimumBidAmount 🔒	float	100%	Minimum bid amount in USD
estimatedRepairCost 🔒	float	100%	Estimated repair cost in USD
auctionDateTime	datetime	100%	Scheduled auction date and time
timedAuctionIndicator	bool	100%	Whether this is a timed/online auction
buyNowIndicator	bool	100%	Whether Buy Now is available
currencyCode	string	100%	Currency code for prices (USD, CAD, etc.)
branchNumber	string	100%	IAA branch/facility number
branchName	string	100%	IAA branch/facility name (e.g., "Salt Lake City (UT)")
branchState	string	100%	Branch state code
branchLink	string	100%	Branch link identifier (e.g., "342~US")
locationName	string	100%	Storage location name
locationAddress	string	100%	Storage location street address
locationCity	string	100%	Storage location city
locationState	string	100%	Storage location state
locationZip	string	100%	Storage location ZIP code
locationPhone	string	100%	Storage location phone number
locationLatitude	float	100%	Storage location latitude (for shipping cost calculations)
locationLongitude	float	100%	Storage location longitude (for shipping cost calculations)
isOffsite	bool	100%	Whether vehicle is stored offsite
aisle	string	96%	Storage aisle location
stall	string	96%	Storage stall number
sellerName 🔒	string	90%	Seller/provider name
providerType	string	100%	Provider type (INS=Insurance, RCC=Remarketing, DLR=Dealer, COR=Corporate, SDS=Specialty, SAL=Salvage, ADJ=Adjuster, GOV=Government, FIN=Finance)
origin	string	100%	Vehicle origin (Insurance, Repossession, Remarketing Vehicles, Donation, IAA Purchase, Lease/Rental)
countryOfOrigin	string	99%	Country where vehicle was manufactured
whoCanBuy	string	82%	Buyer type codes (DEA=Dealer, DIS=Dismantler, EXP=Exporter, REB=Rebuilder, PUB=Public, etc.)
catIndicator	bool	100%	Catastrophe/flood vehicle indicator - important disclosure
imageUrl 🔒	string	96%	Main image URL
image360Url 🔒	string	71%	360-degree view URL
updatedAt	datetime	100%	Timestamp when IAA last updated the listing
listingUrl 🔒	string	100%	Full URL to the IAA vehicle listing page

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

Field Distributions

Loss Type Distribution (lossType)

Value	Count	Share
Collision	687,655	█████████████░░░░░░░ 66.9%
Other	311,350	██████░░░░░░░░░░░░░░ 30.3%
Theft	14,871	░░░░░░░░░░░░░░░░░░░░ 1.4%
Fire	8,189	░░░░░░░░░░░░░░░░░░░░ 0.8%
Water	5,761	░░░░░░░░░░░░░░░░░░░░ 0.6%

Primary Damage Location (primaryDamage)

Value	Count	Share
FRONT END	338,284	████████░░░░░░░░░░░░ 37.8%
NORMAL WEAR & TEAR	128,919	███░░░░░░░░░░░░░░░░░ 14.4%
REAR	87,760	██░░░░░░░░░░░░░░░░░░ 9.8%
LEFT SIDE	67,841	██░░░░░░░░░░░░░░░░░░ 7.6%
RIGHT SIDE	63,941	█░░░░░░░░░░░░░░░░░░░ 7.1%
RIGHT FRONT	55,932	█░░░░░░░░░░░░░░░░░░░ 6.2%
LEFT FRONT	55,126	█░░░░░░░░░░░░░░░░░░░ 6.2%
FRONT & REAR	47,294	█░░░░░░░░░░░░░░░░░░░ 5.3%
UNKNOWN	25,605	█░░░░░░░░░░░░░░░░░░░ 2.9%
LEFT REAR	25,407	█░░░░░░░░░░░░░░░░░░░ 2.8%

Vehicle Class Distribution (vehicleClass)

Value	Count	Share
Sedan	505,250	██████████░░░░░░░░░░ 50.8%
SUV/Crossover	173,756	███░░░░░░░░░░░░░░░░░ 17.5%
Truck	144,893	███░░░░░░░░░░░░░░░░░ 14.6%
Hatchback	56,499	█░░░░░░░░░░░░░░░░░░░ 5.7%
Coupe	36,767	█░░░░░░░░░░░░░░░░░░░ 3.7%
SUV	22,939	░░░░░░░░░░░░░░░░░░░░ 2.3%
Sedan/Hatchback	17,288	░░░░░░░░░░░░░░░░░░░░ 1.7%
Minivan	16,380	░░░░░░░░░░░░░░░░░░░░ 1.6%
Convertible	11,529	░░░░░░░░░░░░░░░░░░░░ 1.2%
Hatchback/Crossover	9,882	░░░░░░░░░░░░░░░░░░░░ 1.0%

Title Code Distribution (titleCode)

Value	Count	Share
SAL	426,820	████████░░░░░░░░░░░░ 41.5%
OTH	313,219	██████░░░░░░░░░░░░░░ 30.5%
CLR	195,203	████░░░░░░░░░░░░░░░░ 19.0%
ORG	65,003	█░░░░░░░░░░░░░░░░░░░ 6.3%
BOS	21,525	░░░░░░░░░░░░░░░░░░░░ 2.1%
NRP	3,953	░░░░░░░░░░░░░░░░░░░░ 0.4%
JNK	2,103	░░░░░░░░░░░░░░░░░░░░ 0.2%

Vehicle Origin (origin)

Value	Count	Share
Insurance	765,616	███████████████░░░░░ 74.5%
Remarketing Vehicles	184,498	████░░░░░░░░░░░░░░░░ 18.0%
Repossession	37,956	█░░░░░░░░░░░░░░░░░░░ 3.7%
Donation	26,719	█░░░░░░░░░░░░░░░░░░░ 2.6%
IAA Purchase	7,192	░░░░░░░░░░░░░░░░░░░░ 0.7%
Lease/Rental	5,737	░░░░░░░░░░░░░░░░░░░░ 0.6%
	108	░░░░░░░░░░░░░░░░░░░░ 0.0%

Listings by Branch State (branchState)

Value	Count	Share
CA	122,503	████░░░░░░░░░░░░░░░░ 20.6%
TX	118,200	████░░░░░░░░░░░░░░░░ 19.9%
FL	52,910	██░░░░░░░░░░░░░░░░░░ 8.9%
NC	49,691	██░░░░░░░░░░░░░░░░░░ 8.4%
GA	49,542	██░░░░░░░░░░░░░░░░░░ 8.3%
NY	48,309	██░░░░░░░░░░░░░░░░░░ 8.1%
OH	47,097	██░░░░░░░░░░░░░░░░░░ 7.9%
IL	40,034	█░░░░░░░░░░░░░░░░░░░ 6.7%
PA	33,427	█░░░░░░░░░░░░░░░░░░░ 5.6%
VA	33,297	█░░░░░░░░░░░░░░░░░░░ 5.6%

---

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:

Auction Listings

Listings with Buy Now Price — 141,281 records

↳ [{"field":"buyNowIndicator","op":"isTrue"},{"sort":"buyNowPrice ASC"}]

Run and Drive Vehicles — 858,730 records

↳ [{"field":"runAndDrive","op":"isTrue"},{"sort":"_lastSeenAt DESC"}]

Collision Total Loss Vehicles — 835,204 records

↳ [{"field":"lossType","op":"is","value":"Collision"},{"sort":"_lastSeenAt DESC"}]

Theft Recovery Vehicles — 17,749 records

↳ [{"field":"lossType","op":"is","value":"Theft"},{"sort":"_lastSeenAt DESC"}]

Insurance Company Listings — 934,417 records

↳ [{"field":"origin","op":"is","value":"Insurance"},{"sort":"_lastSeenAt DESC"}]

See all 40 views →

---

Code Examples

import pandas as pd
from pathlib import Path

# ── Auction Listings ─────────────────────────────────────────────────────────
files = sorted(Path('rebrowser/iaai-dataset/auction-listings/data').glob('*.parquet'))[-7:]
df = pd.concat([pd.read_parquet(f) for f in files])

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

# Average mileage by vehicle class for collision total losses
collision = df[df['lossType'] == 'Collision']
print(collision.groupby('vehicleClass')['mileage'].mean().sort_values().round(0).to_string())

# Loss type distribution across all listings
print(df['lossType'].value_counts().to_string())

# Run-and-drive listings by branch state (top 10 states)
drivable = df[df['runAndDrive'] == True]
print(drivable['branchState'].value_counts().head(10).to_string())

# Title code breakdown for theft recovery vehicles
theft = df[df['lossType'] == 'Theft']
print(theft['titleCode'].value_counts().to_string())

---

Use Cases

Salvage Valuation Modeling

Build pricing models using loss type, damage location, mileage, title status, and vehicle specs. Compare across branches and states to identify regional price variations.

Theft Recovery Analysis

Filter by loss type to study theft recovery patterns by make, model, and state. Identify which vehicles are most frequently recovered and their typical condition at auction.

Inventory Sourcing

Monitor auction listings by vehicle class, drivetrain, and branch location to find inventory matching rebuild or parts sourcing criteria. Track run-and-drive status and key availability.

Market Trend Research

Track shifts in loss type distribution, vehicle class mix, and geographic auction volume over time. Analyze how catastrophe events and seasonal patterns affect regional supply.

---

Full Dataset on Rebrowser

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

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 documented filters and sortable columns. Preview results before purchasing; paid exports freeze their exact selected identities before billing.
• 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_iaai,
  author       = {Rebrowser},
  title        = {IAAI Insurance Auto Auction Dataset},
  year         = {2026},
  howpublished = {\url{https://rebrowser.net/products/datasets/iaai}},
  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 IAAI. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect IAAI user credentials. By using this dataset, you agree to comply with IAAI'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.