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Market Data Explained

Understanding the Difference Between Asking Prices and Recorded Sale Prices

Why asking prices and recorded sale prices are different categories of information, and what happens to your analysis when you mix them.

By PropertyMetric ResearchPublished 4 min read

This is the smallest distinction in property data and the one that invalidates the most analysis. An asking price is a hope. A recorded sale price is a fact.

Two different kinds of information

An asking price is set by a seller and their agent before any negotiation. It reflects an aspiration, a strategy, and sometimes an attempt to anchor expectations. Nothing has been tested.

A recorded sale price is the value a completed transaction was registered at. A buyer and a seller agreed it, and money moved. It is the only one of the two that constitutes evidence about the market.

Why the gap varies

In a strong market with limited stock, achieved prices can sit close to or at asking levels. In a slower market with more choice, the gap widens as sellers adjust from initial positions.

This variability is the real problem. If the gap were a constant percentage you could simply adjust for it. Because it changes with conditions, segment and individual seller motivation, an asking-price dataset cannot be converted into a transaction dataset by applying a discount.

What goes wrong when you mix them

  • Yield calculations break: an advertised rent over a recorded price systematically overstates yield.
  • Comparable sets become incoherent: you cannot assemble evidence from a mixture of offers and completions.
  • Trend analysis misreads the market: changes in asking-price behaviour can move before, after, or independently of achieved prices.
  • Valuation conclusions become indefensible, because the evidence base contains items that are not evidence.

The practical rule

Use asking prices to understand what is currently available and how sellers are positioning. Use recorded transactions for any conclusion about value. Never combine them in the same calculation, and always state which one a figure came from.

This article explains method rather than forecasting the market. For definitions and how measures are computed, see our data methodology and data coverage.

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