About PropertyHuat
See past the listing. Singapore property research, built for serious buyers.
Who it’s for
Singapore buyers, decouplers, and upgraders who want to model second-property purchase decisions with real numbers instead of agent talking points. The tool was built to support an actual decoupling-then-upgrade decision, so the edge cases (ABSD, TDSR stress test, joint-buyer IWAA tenure caps) reflect what a Singapore buyer actually has to work through.
What it does
- Live URA transactions for every condo project, refreshed weekly. Open any project page to see the full caveat history.
- District analytics across all 28 Singapore districts: median PSF, gross yield, 3Y appreciation, supply pressure, school proximity, and a composite investment score. Each district gets its own hub page with split-region awareness for D1, D2, D4, D5, D6, D7.
- Priced vs comparable sales on every project and district, benchmarking each PSF against genuinely like-for-like recent caveats in the same district, tenure band, property class, and bedroom count.
- Watchlist for tracking specific projects with one-click PropertyGuru search links.
- Mortgage & TDSR calculator with BSD, ABSD, joint-buyer IWAA, CPF, renovation, and full true-ROI breakdown.
How pricing is compared
Comparing raw PSF across projects is misleading when they differ in tenure, size, or location: a fresh 99-year launch and an ageing leasehold block are not the same product. PropertyHuat benchmarks each sale against genuinely like-for-like recent resale transactions instead, excluding new launches (their developer pricing is not a resale comparable). The comparable set is the same district, the same property class (private or executive condominium), the same tenure band (freehold, or leasehold grouped by remaining years), and the same bedroom count, over the trailing three years.
The signal is the gap between a sale’s PSF and the median of that comparable set. A negative figure means the unit transacted below comparable sales, a positive figure above. Benchmarks appear only where at least five comparable sales exist, so thin slices are left blank rather than shown as a number you cannot trust.
Read it as relative pricing, not a verdict on value. The gap can reflect location within the district, unit size, floor, facing, freshness, or condition. Where a project’s pricing sits outside the comparable range (for example ultra-prime freehold in a mixed district), no figure is shown. Source: URA caveat data.
How regions are classified
Singapore property splits into Core Central Region (CCR), Rest of Central Region (RCR), and Outside Central Region (OCR). Six districts span two regions in URA’s caveat data: D1, D2, D4, D7 split CCR/RCR; D5 splits RCR/OCR; D6 is dominantly RCR with a small CCR sliver. PropertyHuat reads the region tag from each individual transaction instead of inheriting the district default, so split-district projects (e.g. Wallich Residence is CCR while Spottiswoode Residences is RCR, both in D2) get the correct label rather than the district average.
Data sources
| Transactions | URA REALIS | Weekly (Fri) |
| Rental medians | URA PMI | Monthly (1st) |
| Price Index | data.gov.sg | Quarterly |
| Pipeline (new launches) | URA PMI | Weekly (Mon) |
Who built it
Built and run solo by an actual Singapore buyer, not an agency or a VC-backed sales funnel. Independent, and your data is never resold. For questions, feedback, or partnership enquiries: hello@propertyhuat.com.