Dataset
Price History
What each make and model was actually advertised at, week by week, with the volume behind every point so a thin week is visible as thin rather than averaged into a line.
The honest caveat
Asking prices, not sale prices. The distinction matters most exactly where the data is most interesting. A segment where sellers ask more than buyers pay looks strong here and is not.
Where it comes from
571,336 advertised vehicles as at 19 August 2026, read from the marketplaces directly and normalised onto one schema. This cut is a grouping of those rows rather than a separate collection. Coverage, source by source names what is thin and what we do not read at all.
What it carries
- Weekly asking-price distribution
- Median, quartiles and spread
- Listing volume behind each point
- Cut by make, model, variant, year
- Cut by state and by source
Delivery
There is no pricing table here and no self-service export, because the useful shape of an extract depends entirely on what you are trying to measure and nobody has built the self-service version of that question yet. Tell us what you need to answer and the delivery follows from it.
The same rows, cut otherwise
Every one of these reads the same listings. If the question you have does not fit this page, it probably fits one of them.
- Listing ArchiveThe base record: every listing RideRadar has observed across the index, normalised onto one schema, with the dates it appeared and vanished.
- DepreciationWhat a vehicle is advertised at when it is three, five and ten years old.
- Mileage BenchmarksWhat the odometer reading on a particular vehicle looks like next to every other advertised example of the same model and year.
- Time on MarketHow long a listing sits before it goes, and what the seller did to the price on the way.
- Regional SpreadThe same model priced state by state, and how the gap moves.
- Auction InventoryTrade, salvage and disposal lots read from the auction houses directly.
- Price AlertsA standing query over the archive that reaches you when something matches, rather than an extract you go and read.