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What is VIN Data? Best Datasets & Databases for VIN Database Download

Datarade Marketplace Logo
Eugenio Caterino
Editor & Data Industry Expert
VIN data refers to information decoded from Vehicle Identification Numbers, which uniquely identify every motor vehicle manufactured worldwide. In this guide, you’ll find key examples of VIN data, its primary use cases, and where to source reliable VIN datasets for automotive intelligence, insurance, compliance, and marketing purposes.

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • Guide
  • FAQ

On This Page:

  • Overview
  • Datasets
  • Providers
  • Attributes
  • Guide
  • FAQ

What Is VIN Data?

VIN data is structured information linked to a vehicle’s unique 17-character identification code, known as the VIN. This code contains essential details about the vehicle’s manufacturer, country of origin, engine type, model year, and other production specifics.

VIN data is foundational to verifying vehicle identity, tracking history, and powering a wide range of automotive services. Many data providers offer VIN decoding APIs or bulk datasets to support businesses in insurance, fleet management, car marketplaces, and automotive logistics.

What Are Examples of VIN Data?

VIN data enables a deep breakdown of vehicle identity and specifications. Common examples include:

  • Vehicle Identification Number (17-digit code)
  • Manufacturer and brand (OEM)
  • Country of origin
  • Model and model year
  • Engine type and displacement
  • Transmission type
  • Body style and number of doors
  • Fuel type
  • Drivetrain (e.g. AWD, FWD, RWD)

Best VIN Databases & Datasets

VIN datasets are available in various formats, including APIs, flat files for batch processing, or historical databases used for analysis.

Logo of Alesco Data

Alesco Auto Database - VIN Data 275+ Million VIN with 183+ Million Opt-In Emails - US based, licensing available

by Alesco Data
5.0
USA
Free sample preview
Pricing available upon request
Logo of AGR Marketing

AGR | Automotive Data | US VIN Data | 165+ million autos with address verification.

by AGR Marketing
USA
Free sample preview
Pricing available upon request
Logo of VentiveIQ

AUTOMOBILE DATA - US VIN FILE OF MORE THAN 200 MILLIONS VEHICLES, PLUS YEAR, MAKE MODEL, ADDRESS

by VentiveIQ
USA
Free sample preview
Pricing available upon request
Logo of PlateToVin Ltd

PlateToVIN - License Plate to VIN HTTP API with VIN Decode

by PlateToVin Ltd
USA
Canada
Free sample preview
API available
Starts at
$0.05 / Successful L...
Logo of Alesco Data

Alesco Car Ownership Data - Automotive Data - 275+ Million VIN Data points with 183+ Million Opt-In Emails - US based, licensing available

by Alesco Data
5.0
USA
Free sample preview
Pricing available upon request
Logo of MarketCheck

Enhanced Vin Decoder - Submit a 17 digit VIN to pull back year, make, model and trim with the installed equipment and detailed vehicle specs

by MarketCheck
USA
Canada
API available
Starts at
$8 / 100 Calls
Logo of Forager.ai

Technographic Data | B2B Data | 22M Records | Refreshed 2x/Mo | Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery

by Forager.ai
4.9
USA
UK
Germany
+246
Free sample preview
API available
Pricing available upon request
Logo of Success.ai

B2B Leads Data on SaaS-platform | Access & Export Millions of Leads via Success.ai's SaaS-Platform - Unbeatable Price for Top-Quality Data

by Success.ai
5.0
USA
UK
Germany
+247
Free sample preview
API available
Pricing available upon request
Logo of CompCurve

Home Valuation Data - Real-Time AI Estimates powered by Decentralized AI from Nickel5 via Bittensor Subnet 48, aka Nextplace

by CompCurve
5.0
USA
Free sample preview
API available
Pricing available upon request
Logo of Market Inside Data

Import Export Data | 190+ Countries EU Transit Routes Trade Data | Cross Border Movements via Customs Territories through Local Transport

by Market Inside Data
5.0
USA
UK
Germany
+246
Free sample preview
API available
Starts at
$10,000$9,500 / year

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Top VIN Data Providers & Companies

Main Attributes of VIN Data

Each VIN comprises 17 characters (digits and capital letters) that act as a unique identifier for the vehicle. A VIN relays the vehicle’s unique features, specifications and its manufacturer.

  • 1st character - location vehicle was built
  • 2nd and 3rd characters - manufacturer
  • 4th and 8th characters - aesthetic qualities of the vehicle: brand, engine size, type
  • 9th character - security code
  • 10th character - model year of car
  • Last 6 characters - serial number of vehicle
  • 11th character - plant where vehicle was assembled
Attribute Type Description Action
VIN String The vehicle identification number (VIN) of a specific automobile. View 18 datasets
State Name String The name of a state. View 17 datasets
City Name String The name of a city. View 16 datasets
Address String The address of a company or contact (street name, number, zip code, city, county, country). View 15 datasets
Contact First Name String The first name of a contact. View 15 datasets
Contact Last Name String The last name (surname) of a contact. View 15 datasets

Why Is VIN Data Important?

VIN data is a universal standard for vehicle identification and specification. It’s critical for preventing fraud, optimizing vehicle-related services, and enriching consumer-facing platforms.

  • Regulatory & Compliance: VIN decoding is essential in registration, title transfers, and verifying vehicle conformity with emissions or safety laws.
  • Insurance Accuracy: Underwriters rely on VIN data to understand risk factors such as airbags, ABS, or vehicle weight class.
  • Automotive Marketplaces: VIN-based listings improve buyer confidence with structured, trustworthy vehicle specs.
  • OEMs & Parts Suppliers: VIN decoding ensures correct parts recommendations based on factory configurations.
  • Fleet & Telematics Integration: Vehicle-level specs are necessary for telematics optimization, maintenance schedules, and fuel efficiency tracking.

How Is VIN Data Collected?

VIN data is primarily sourced from:

  • OEM production databases
  • Motor vehicle registration agencies
  • VIN decoding services and third-party APIs
  • Automotive industry standards (ISO 3779)
  • Title records, insurance databases, and recalls

Frequently Asked Questions

How is the Quality of VIN Data Maintained?

The quality of VIN Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.

How Frequently is VIN Data Updated?

The update frequency for VIN Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.

Is VIN Data Secure?

The security of VIN Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.

How is VIN Data Delivered?

VIN Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for VIN Data.

How Much Does VIN Data Cost?

The cost of VIN Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of VIN Data for your needs.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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