Insights

The Resale Price Check, Explained

Is the asking price fair? This tool benchmarks a specific unit against actual transacted sales of the same bedroom type in the same project — recency-weighted — and gives a fair value, a range, and a verdict.

By TRIBE Editorial · 28 June 2026 · 3 min read

The hardest question in a resale negotiation is the simplest one: is this price fair? Agents quote averages, listings show asking prices (not transacted ones), and the unit in front of you is never quite like the last one sold. The Resale Price Check answers it with data — it benchmarks the specific unit against actual transacted sales of the same bedroom type in the same project, weighted toward recent deals, and returns a fair value, a fair range, and a plain verdict.

24 mths

Core comparison window

widened to 60 if sales are thin

±20%

Size filter on comparables

like-for-like floor area

good / fair / above

The verdict it returns

against the fair range

How it values a unit

Enter the project, bedroom count, size, asking price and optionally the floor, and the tool pulls the genuinely comparable transactions: same project, same bedroom count, within a 24-month window (widened to 60 months if there are too few recent deals), and within ±20% of your unit's floor area. It computes a recency-weighted median PSF — recent sales count for more, on an 18-month half-life — and multiplies by your unit's size to get a fair value. The fair range is the weighted 25th-to-75th percentile of those comparables, so it reflects the real spread of what people have paid, not a single point estimate.

The verdict, and the comparables

Against that range, the asking price gets a verdict: at or below the bottom of the range is "good," inside the range is "fair," and above the top is "above market." You also see the subject unit's PSF, the gap to fair value in dollars and percent, the floor context, and — usefully — the three most-alike condos within one kilometre, scored on distance, size, tenure match and recency, with their implied values. That nearby set is the reality check on whether the project itself is priced sensibly against its neighbours.

The data is URA caveat-lodged resale and sub-sale transactions (new-launch developer sales are excluded), with market segments classified by district and distances measured from OneMap coordinates. It's the same transaction backbone behind the Resale Project Scorecard — here pointed at a single unit's price rather than a project's fundamentals.

How to read it

Open the Resale Price Check, enter the unit and the asking price, and read the verdict and the gap to fair value first. Then look at the comparable transactions table — a verdict is only as good as the deals behind it, and a thin or stale comp set (which the tool flags by widening the window) deserves more caution. Use the fair range, not the single fair value, as your negotiating anchor: paying near the bottom is a good deal; being asked for well above the top is the moment to push back or walk.

Check a price at tribesg.com/tools/resale-unit-price-analyzer.

Sources: TRIBE Resale Price Check; methodology (recency-weighted median PSF, 24/60-month window, ±20% size filter, weighted 25th–75th percentile range) and URA caveat data, as at June 2026. A valuation estimate, not a formal valuation or financial advice.

Silas Tan is a District Director at Huttons Asia and co-founder of TRIBE. He built the Resale Project Scorecard (RPS) using 126,000+ URA REALIS transactions. This article is for informational purposes and does not constitute financial or investment advice. CEA Registration R000303I.