Datasets
One record, cut eight ways.
571,336 advertised vehicles as at 19 August 2026, normalised onto one schema. The cuts below are groupings of the same rows, not separate products. That is why licensing starts with what you are trying to measure rather than with a menu.
01
Listing Archive
The base record: every listing RideRadar has observed across the index, normalised onto one schema, with the dates it appeared and vanished. Every other cut on this page is a grouping of these rows.
The honest caveat
A listing that was removed is not necessarily a listing that sold. The record says it disappeared and on what date; it does not claim an outcome.
What it carries
- Source and source listing id
- Make, model, variant, body, year
- Asking price and price changes
- Odometer, transmission, fuel, drive
- Location: state, region, postcode
- First seen, last seen, days advertised
02
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.
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
03
Depreciation
What a vehicle is advertised at when it is three, five and ten years old. It is built from the same rows as the price history, grouped by age rather than by week.
The honest caveat
Derived from advertised prices at each age, not from following individual vehicles through their lives. It is a cross-section, and a model whose buyers changed will show that as depreciation.
What it carries
- Advertised price by vehicle age
- Curve by make, model and variant
- Odometer bands at each age
- Sample size at every point
04
Mileage Benchmarks
What the odometer reading on a particular vehicle looks like next to every other advertised example of the same model and year. It answers whether a number is high, not whether it is true.
The honest caveat
Odometer is a seller-entered figure, unverified, and it is not carried by every listing on every source. Coverage of this one field is materially thinner than coverage of price, so a benchmark for a scarce model can rest on a small sample. Sample size is published beside every distribution for that reason.
What it carries
- Odometer distribution by model and year
- Where a given reading falls in it
- Odometer against asking price
- Sample size behind every band
05
Time on Market
How long a listing sits before it goes, and what the seller did to the price on the way. This only exists because the index was already watching. It cannot be reconstructed after the fact.
The honest caveat
Measured between first and last observation, so the resolution is the crawl interval rather than the hour. A listing that appeared and vanished between two reads is not in this cut.
What it carries
- Days advertised, per listing
- Distribution by segment and price band
- Re-listing behaviour
- Price changes before removal
06
Regional Spread
The same model priced state by state, and how the gap moves. This cut answers the arbitrage question: where a vehicle is cheap right now, and what the drive costs.
The honest caveat
Location is the seller's advertised location. Dealer inventory is often advertised nationally, so a state figure describes where a car is listed rather than where it is parked.
What it carries
- Asking price by state and region
- Same-model price gap between states
- Listing density by postcode
- Movement in the gap over time
07
Auction Inventory
Trade, salvage and disposal lots read from the auction houses directly. Most listing datasets omit this side of the market entirely, which is why the wholesale end of a valuation is usually a guess.
The honest caveat
Auction inventory is volatile, and some houses publish no bid at all. One publishes none even on a lot marked "auction on now". Where no bid exists, the record holds none rather than a zero.
What it carries
- Lot, house and sale date
- Advertised or reserve figure where published
- Vehicle detail as listed
- Salvage and damage flags where given
08
Price Alerts
A standing query over the archive that reaches you when something matches, rather than an extract you go and read. Same rows as everything above; the difference is who does the looking.
The honest caveat
This one is a delivery mechanism, not an extract, and it is the only entry here that is not a cut of the record. It watches advertised listings, so it can tell you a car was listed under your figure and never that one sold at it. It also cannot beat the crawl: a listing that appears and sells between two reads was never visible to alert on.
What it carries
- Criteria: model, variant, year range, price ceiling
- Narrowed by state, odometer and sale method
- The matching listing, with its source link
- Time of first observation, not time of listing
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.