Does a High Floor Earn a Resale Premium? (Singapore)

Premium Study 4 分で読み取り 最終レビュー済み
TL;DR
Across Singapore, the Low (≤6) floor band delivered the strongest median resale return (5.0%), versus 3.9% for the High (16+) band — a 1.1-point spread. A floor premium is visible in the data, though the caveat floor band is only a proxy for view.
💡 The verdict

Across Singapore, the Low (≤6) floor band delivered the strongest median resale return (5.0%), versus 3.9% for the High (16+) band — a 1.1-point spread. A floor premium is visible in the data, though the caveat floor band is only a proxy for view.

5.0%
Best band: Low (≤6)
3.9%
Weakest band: High (16+)
+1.1 pts
Return spread
18,523
Matched resales

This study isolates one variable — floor band — and measures whether it earned a resale-return premium across Singapore condos, using matched buy→sell pairs from URA caveat data (as of July 2026). We hold nothing else constant beyond the floor band split, so read the pattern as a directional signal, not a controlled experiment. The full band breakdown is below.

Low (≤6)
5.0%
Mid (7–15)
5.0%
High (16+)
3.9%

Return by floor band — Singapore

Median annualised return, profitable-resale share, median holding period and matched-pair count for each floor band.

Floor bandMedian return/yrProfitableMedian holdPairs
Low (≤6)5.0%82%1.3 yrs6,897
Mid (7–15)5.0%85%1.2 yrs8,029
High (16+)3.9%80%1.3 yrs3,360
Key Takeaways
  • The Low (≤6) band led with a 5.0% median annualised return in Singapore.
  • The gap to the weakest band (High (16+)) was 1.1 percentage points — a meaningful, tradeable difference.
  • Returns are unlevered and pre-cost; a mortgage would amplify both the winners and the laggards.

Frequently Asked Questions

Do higher-floor condos really sell for a better return?

In Singapore, the Low (≤6) band led with the strongest median resale return, 1.1 percentage points ahead of the weakest High (16+) band. The full table above shows every band with its profitable-resale share and holding period.

Is this a controlled comparison?

No. The study splits matched resale pairs by a single attribute but does not hold location, age or condition constant. Treat the gap as a directional signal about how the attribute has behaved historically, not as an isolated causal premium.

Are these figures net of costs?

No — they are raw-price CAGRs from URA caveats, before stamp duty, mortgage interest, agent fees and renovation. They are best used to compare bands against each other, not as a take-home return.

Methodology & Sources

Numbers in this article reflect as of July 2026 and update on an irregular schedule.

Transaction data sourced from URA.

  • Matched buy→sell pairs are inferred from URA resale caveats via a (floor band, area, bedroom) proxy; annualised return is the CAGR between purchase and resale.
  • The floor band is a proxy for height/view built from the storey band on each caveat — URA caveats carry no orientation or stack identifier, so it cannot isolate a true view premium.
  • Returns are raw-price estimates before stamp duty, financing and renovation, and are historical, not a forecast.

Outlier-resistant medians anchor every PSF figure shown above. Volume counts are exact transaction tallies, not estimates.