Original data

The US vehicle configuration database

The US vehicle configuration database behind reParta is a reference of 33,136 vehicle configurations - year x make x model x trim x powertrain - for the US market. Each row is the level of detail that decides which parts a vehicle takes: two cars that look identical can need different parts because of a trim or engine difference.

To be precise: it is not a fitment or interchange dataset. It does not, on its own, say which part fits which cars. It is the vehicle reference that identifies a car exactly, which is the first step before any fitment matching - and it is what makes "will it fit" answerable instead of a guess.

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33,136
vehicle configurations
5
attributes per row
US
market coverage
What is in it

Five attributes, 33,136 rows

FieldWhat it captures
YearModel year of the vehicle
MakeManufacturer (the major US-market makes)
ModelVehicle model
TrimTrim / series - the detail that changes parts between otherwise-identical cars
PowertrainEngine / drivetrain - affects mounts, brackets, cooling, and more

The combination of trim and powertrain is what makes this more than a make/model lookup.

Honest coverage

What it is, and what it is not

What it is
  • A broad US vehicle reference at the configuration level (trim and powertrain), where most fitment mistakes happen.
  • Built for matching, so it feeds VIN decoding, vehicle identification, and the Pre-bid ROI parts projection directly.
What it is not
  • Not a part-level fitment or interchange graph. It does not claim the crossover depth of the Hollander Interchange (about 2 million applications) - on that, Hollander remains the standard.
  • Not exhaustive: very new model years, very old vehicles, and rare trims can be thinner. Treat a match as accurate-enough plus a check, not gospel.

Honesty about coverage is the point. Used this way - precise vehicle identification plus an honest flag where it is uncertain - it does the thing that matters: fewer wrong-fitment returns, more sales to the right buyer.

How it powers the product

From VIN to the right buyer

Decode a VIN to the exact configuration, then match each part to the vehicles it fits.
Feeds the Pre-bid ROI parts projection, so a donor's parts list is built on real configurations.

Frequently asked questions

How many vehicle configurations are in the database?

33,136. Each row is a unique combination of year, make, model, trim, and powertrain for the US market - the level of detail that decides which parts a vehicle takes.

Is this a fitment or interchange dataset?

No. It is a vehicle-configuration database, not a parts-fitment or interchange dataset. It does not, by itself, say which part fits which cars. Its job is to identify a vehicle precisely, which is the first step before any fitment matching - and it does not claim the part-level crossover depth of the Hollander Interchange (about 2 million applications).

How does a vehicle database reduce returns?

Most used-parts returns are wrong-fitment ("did not fit"). Pinning a part to the exact year, make, model, trim, and powertrain - instead of make and model alone - is what lets fitment matching put the part in front of the right buyers and helps the wrong buyers self-select out.

Can I download the database?

It is not a public download. It is built into reParta to power VIN decoding, vehicle identification, and the Pre-bid ROI parts projection.

Put the data to work on your inventory

Decode a lot free, then let fitment matching reach the right buyers and cut returns.

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