AGR Automotive Data - US VIN file of 165 million autos with address verification.
# | YEAR |
MAKE |
MODEL |
VIN_DECODER FIELD |
VIN_IDveh_trans_id |
VIN_IDvehicle_id |
VIN_IDtrans_id |
VIN_IDstandard |
VIN_IDtrans_name |
VIN_IDtrans_brand |
VIN_IDtrans_type |
VIN_IDtrans_detail_type |
VIN_IDtrans_gears |
VIN_IDVIN_PATTERN |
VIN_IDYEAR |
VIN_IDMAKE |
VIN_IDMODEL |
VIN_IDTRIM |
VIN_IDSTYLE |
VIN_IDVEHICLE_TYPE |
VIN_IDBODY_TYPE |
VIN_IDBODY_SUBTYPE |
VIN_IDOEM_BODY_STYLE |
VIN_IDDOORS |
VIN_IDOEM_DOORS |
VIN_IDMSRP |
VIN_IDPLANT |
VIN_IDRESTRAINT_TYPE |
VIN_IDGVW_RANGE |
VIN_IDLENGTH |
VIN_IDHEIGHT |
VIN_IDWIDTH |
VIN_IDWHEELBASE |
VIN_IDCURB_WEIGHT |
VIN_IDGROSS_VEHICLE_WEIGHT_RATING |
VIN_IDTMP_WHEEL_DIA |
VIN_IDTMP_TANK1_GAL |
VIN_IDMAX_PAYLOAD |
VIN_IDTONNAGE |
VIN_IDDEF_ENGINE_ID |
VIN_IDDRIVE_TYPE |
VIN_IDFUEL_TYPE |
VIN_IDDEF_ENGINE_BLOCK |
VIN_IDDEF_ENGINE_CYLINDERS |
VIN_IDDEF_ENGINE_SIZE |
VIN_IDENGINE_SIZE_UOM |
VIN_IDDEF_ENGINE_ASPIRATION |
VIN_IDDEF_TRANS_ID |
VIN_IDDEF_TRANS_TYPE |
VIN_IDDEF_TRANS_SPEEDS |
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1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx |
2 | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx |
3 | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx |
4 | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx |
5 | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx |
6 | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx |
7 | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx |
8 | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx |
9 | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx |
10 | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx |
... | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Contact First Name | ||
String | Contact Middle Name | ||
String | Contact Last Name | ||
String | Address | ||
String | PUNTA GORDA | City Name | |
String | FL | State Name | |
String | 33950-1300 | ZIP Code | |
String | Contact Gender | ||
YEAR
|
Integer | 2012 | |
MAKE
|
String | DODGE | |
MODEL
|
String | GRAND CARAVAN | |
String | VIN | ||
VIN_DECODER FIELD
|
String | 2C4RDGCGCR | |
VIN_IDveh_trans_id
|
|||
VIN_IDvehicle_id
|
Integer | 400877301 | |
VIN_IDtrans_id
|
|||
VIN_IDstandard
|
|||
VIN_IDtrans_name
|
|||
VIN_IDtrans_brand
|
|||
VIN_IDtrans_type
|
|||
VIN_IDtrans_detail_type
|
|||
VIN_IDtrans_gears
|
|||
VIN_IDVIN_PATTERN
|
String | 2C4RDGCGCR | |
VIN_IDYEAR
|
Integer | 2012 | |
VIN_IDMAKE
|
String | DODGE | |
VIN_IDMODEL
|
String | GRAND CARAVAN | |
VIN_IDTRIM
|
String | SXT | |
VIN_IDSTYLE
|
String | SXT 4DR MINI-VAN | |
VIN_IDVEHICLE_TYPE
|
String | VAN | |
VIN_IDBODY_TYPE
|
String | MINI-VAN | |
VIN_IDBODY_SUBTYPE
|
String | PASSENGER | |
VIN_IDOEM_BODY_STYLE
|
String | MINI-VAN | |
VIN_IDDOORS
|
Integer | 4 | |
VIN_IDOEM_DOORS
|
Integer | 4 | |
VIN_IDMSRP
|
Integer | 26495 | |
VIN_IDPLANT
|
|||
VIN_IDRESTRAINT_TYPE
|
|||
VIN_IDGVW_RANGE
|
String | 6001-7000 | |
VIN_IDLENGTH
|
Float | 202.8 | |
VIN_IDHEIGHT
|
Float | 67.9 | |
VIN_IDWIDTH
|
Float | 88.5 | |
VIN_IDWHEELBASE
|
Float | 121.2 | |
VIN_IDCURB_WEIGHT
|
Integer | 4510 | |
VIN_IDGROSS_VEHICLE_WEIGHT_RATING
|
Integer | 6050 | |
VIN_IDTMP_WHEEL_DIA
|
String | 16.0 X 6.5 | |
VIN_IDTMP_TANK1_GAL
|
Integer | 20 | |
VIN_IDMAX_PAYLOAD
|
Integer | 1540 | |
VIN_IDTONNAGE
|
String | COMPACT | |
VIN_IDDEF_ENGINE_ID
|
Integer | 300000475 | |
VIN_IDDRIVE_TYPE
|
String | FWD | |
VIN_IDFUEL_TYPE
|
String | FLEX FUEL | |
VIN_IDDEF_ENGINE_BLOCK
|
String | V | |
VIN_IDDEF_ENGINE_CYLINDERS
|
Integer | 6 | |
VIN_IDDEF_ENGINE_SIZE
|
Float | 3.6 | |
VIN_IDENGINE_SIZE_UOM
|
String | LI | |
VIN_IDDEF_ENGINE_ASPIRATION
|
|||
VIN_IDDEF_TRANS_ID
|
Integer | 230943 | |
VIN_IDDEF_TRANS_TYPE
|
String | A | |
VIN_IDDEF_TRANS_SPEEDS
|
Integer | 6 |
Description
Geography
History
Volume
165 | Million |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is AGR Automotive Data - US VIN file of 165 million autos with address verification.?
“AGR’s Automotive Database contains 165 million unique VIN records CASS and NCOA verified monthly. Roughly 700,000 new records are added monthly to the file along with millions of move and change of address information”.
What is AGR Automotive Data - US VIN file of 165 million autos with address verification. used for?
This product has 5 key use cases. AGR Marketing recommends using the data for Audience Targeting, Contact Validation, Market Research, Consumer Intelligence, and Data Modeling. Global businesses and organizations buy Automotive Data from AGR Marketing to fuel their analytics and enrichment.
Who can use AGR Automotive Data - US VIN file of 165 million autos with address verification.?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Automotive Data. Get in touch with AGR Marketing to see what their data can do for your business and find out which integrations they provide.
How far back does the data in AGR Automotive Data - US VIN file of 165 million autos with address verification. go?
This Tabular Data has 2 years of historical coverage. It can be delivered on a weekly and monthly basis.
Which countries does AGR Automotive Data - US VIN file of 165 million autos with address verification. cover?
This product includes data covering 1 country like USA. AGR Marketing is headquartered in United States of America.
How much does AGR Automotive Data - US VIN file of 165 million autos with address verification. cost?
Pricing information for AGR Automotive Data - US VIN file of 165 million autos with address verification. is available by getting in contact with AGR Marketing. Connect with AGR Marketing to get a quote and arrange custom pricing models based on your data requirements.
How can I get AGR Automotive Data - US VIN file of 165 million autos with address verification.?
Businesses can buy Automotive Data from AGR Marketing and get the data via S3 Bucket, SFTP, Email, and UI Export. Depending on your data requirements and subscription budget, AGR Marketing can deliver this product in .csv, .xls, .sql, and .txt format.
What is the data quality of AGR Automotive Data - US VIN file of 165 million autos with address verification.?
AGR Marketing has reported that this product has the following quality and accuracy assurances: 95% Match Verified. You can compare and assess the data quality of AGR Marketing using Datarade’s data marketplace. AGR Marketing appears on selected Datarade top lists ranking the best data providers, including Best +8 License Plate Lookup APIs to use in 2023 and Best 5 Mortgage APIs to use in 2023.
What are similar products to AGR Automotive Data - US VIN file of 165 million autos with address verification.?
This Tabular Data has 3 related products. These alternatives include Alesco Auto Database - AUTOMOTIVE DATA - 242+ Million VINs with 152+ Million Opt-In Emails - US based, licensing available, Think Data Group US First-Party Automotive VIN Data 150MM+ Automotive Consumer Records Dual Opt-In Updated Monthly Fully Compliant, and AUTOMOBILE DATA - US VIN FILE OF MORE THAN 200 MILLIONS VEHICLES, PLUS YEAR, MAKE MODEL, ADDRESS. You can compare the best Automotive Data providers and products via Datarade’s data marketplace and get the right data for your use case.