For: First-time buyersHDB upgradersInvestors
Source: URA
TL;DR
Data-driven comparison: Old vs New TOP: How Age Affects Pricing. Analysed from live Singapore condo transaction data on ShiokNest.
Data as of July 2026
How to read this comparison
Numbers below come from the trailing 12–24 months of caveats lodged on URA REALIS. Use them to anchor your shortlist, not to settle a decision: a thin-volume bucket (under ~30 transactions) can shift by 5–10% on a single deal, so always cross-check against the per-property pages before committing.
Key Takeaways
- Data-driven comparison from live Singapore transaction data.
Overview
This comparison analyses how top year affects condo pricing.
| TOP Year | Projects | Transactions | Avg PSF |
|---|---|---|---|
| 2000-2009 | 659 | 16,641 | $1,448 psf |
| 2010-2019 | 724 | 37,297 | $1,558 psf |
| 2020+ | 281 | 68,551 | $2,179 psf |
| Pre-2000 | 581 | 11,479 | $1,404 psf |
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Verdict
Use this comparison alongside the Total Acquisition Cost calculator to model your actual all-in costs for each segment.
Who Is This For?
General Buyer
Good Fit
Use this comparison to inform your decision.
Frequently Asked Questions
How current is this data?
This comparison uses all available URA transaction data and is regenerated periodically.
Methodology & Sources
Figures below are drawn from all available transaction periods and revised on demand.
Transaction data sourced from URA.
- Averages and medians computed from all available transactions.
- Auto-generated and updated when regenerated. Last updated: 18 Jul 2026.
We report medians (not means) so a single outlier transaction cannot skew district-level figures. PSF = price per square foot.