IAAI Dataset
Comprehensive IAAI insurance auto auction dataset containing millions of total loss transactions, theft recovery sales, and fleet liquidation records across North America. Includes detailed analysis of insurance company disposition strategies, damage assessment patterns, and regional auction performance metrics.
Pre-processed insurance auto auction intelligence featuring IAAI's extensive loss classification systems, buyer behavior analytics, and geographic market variations. Perfect for building predictive models around total loss valuation, theft recovery rates, and understanding the economics of insurance vehicle disposition.
Data Entities
Explore the different data entities available in this dataset. Each entity represents a distinct data type with its own schema and views.
413,120 records80 fieldsUpdated about 23 hours ago
IAAI insurance auto auction listings with vehicle details, damage assessments, bidding data, title information, and branch locations for total loss, theft recovery, and fleet vehicles.
IAAI Dataset Use Cases
Insurance Claims Optimization
Help insurance companies optimize total loss thresholds and vehicle disposition strategies using IAAI's comprehensive auction performance data. Build more accurate salvage value predictions and improve claim settlement efficiency by analyzing actual auction outcomes versus estimated values.
Automotive Security Research
Study theft recovery patterns and vehicle security effectiveness using IAAI's extensive theft recovery auction data. Analyze which vehicle types and security features correlate with higher recovery rates and better post-theft condition for automotive security improvements.
Fleet Management Strategy
Optimize fleet replacement and disposal strategies using IAAI's fleet liquidation data and vehicle lifecycle analytics. Understand optimal disposal timing and vehicle condition patterns to maximize fleet asset recovery and minimize total cost of ownership.
Salvage Market Investment
Guide investment decisions in salvage processing facilities, parts recycling operations, and vehicle rebuilding businesses using IAAI's comprehensive market intelligence. Identify regional opportunities and optimal facility locations based on auction volume and vehicle type distributions.
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IAAI Dataset Benefits
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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, including any images or copyrighted materials, does not infringe on the rights of any third party.
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Frequently Asked Questions
This dataset provides comprehensive IAAI auction records including total loss vehicles, theft recoveries, and fleet liquidations with damage reports, bidding data, and sale results. Filter by make, model, damage type, title status, branch location, and seller type.
Both are major insurance auto auction platforms, but they differ in branch networks, fee structures, and buyer premiums. This dataset focuses on IAAI's marketplace, allowing you to analyze their specific inventory patterns, pricing dynamics, and seller relationships independently or in comparison.
The dataset includes current bids, final sale prices, and estimated pre-damage values for total loss vehicles. Analyze how different loss types, damage descriptions, and vehicle attributes affect auction outcomes to build accurate salvage valuation models.
IAAI auctions include theft recovery vehicles with clean titles and varying levels of damage. The dataset tracks these listings separately, allowing you to identify high-value recovery opportunities and analyze recovery patterns by vehicle type and location.
Every lot includes the IAAI branch holding the vehicle. Filter by branch to analyze regional auction activity, compare pricing across locations, and study how geographic factors influence salvage vehicle values and buyer competition.
The dataset includes loss type classifications (collision, flood, theft, etc.) and damage descriptions (front end, rear end, side, etc.). Analyze damage patterns across vehicle types, study how specific damage categories affect sale prices, and build damage-based valuation models.
Compare estimated pre-damage values against actual auction prices, factoring in damage severity and repair cost estimates. Filter for specific title types and condition categories to find vehicles with favorable rebuild economics.
Each lot identifies the seller type — insurance company, fleet operator, dealer, or individual. Analyze selling patterns by source, study how seller type affects vehicle quality and pricing, and identify which insurance companies are the most active sellers.
The dataset includes scheduled auction dates and current sale status for every lot. Track upcoming sales, plan bidding strategies, and analyze which auction days and times tend to produce the best pricing for specific vehicle categories.
Yes — insurers and claims professionals use the dataset to benchmark total loss valuations against actual auction outcomes. Analyze recovery rates by vehicle type, optimize total loss thresholds, and improve salvage value predictions for claims settlement.
The dataset includes title classifications such as salvage certificate, clean title, rebuilt, and flood. Filter by title type to focus on specific vehicle categories and analyze how title status influences bidding behavior and final sale prices.
Buyer premium percentages and fee structures are included in the dataset. Factor these into sale prices to calculate true acquisition costs, compare net pricing across branches, and optimize bidding strategies that account for all fees.
The dataset is refreshed regularly to capture new lots, bid updates, and completed sale results. Historical data is preserved for trend analysis, seasonal pattern identification, and long-term market research.
Fleet managers use the dataset to benchmark disposal values for fleet vehicles and optimize end-of-life vehicle strategies. Analyze how fleet vehicles perform at auction compared to insurance total losses and study optimal disposal timing.
Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply filters by vehicle type, location, damage category, or date range before exporting to get the specific subset needed for your research or business application.
