Frequently asked
FAQ
The questions a Singapore property buyer asks, answered with data from haio’s full transaction database. For the full technical detail behind any answer, see the methodology.
Data-driven answers
Is freehold or leasehold better?
Over the last decade, freehold condos have commanded a 5–15% median PSF premium over 99-year leasehold equivalents in the same district — but the gap varies sharply by location and building class. In prime districts (D9, D10, D11), freehold commands a consistent premium because the absolute prices are higher and buyers are more tenure-sensitive. In suburban districts, the gap often collapses to under 5% — buyers optimise on price per sqft, not tenure.
The more important question for most buyers is remaining lease, not original tenure. A 99-year leasehold with 85+ years remaining transacts at near-parity with freehold. The discount accelerates sharply below 60 years.
Bottom line: For a buy-and-hold horizon of 10–20 years, freehold is the better store of value. For a 5–7 year owner-occupier horizon, a young 99-year leasehold at the right price is often the better financial decision.
All districts · yearly median PSF · Singapore condos + landed
See district-by-district breakdown and hold-period simulator →
If I go for leasehold, at what remaining lease does it become non-viable?
The chart shows median PSF for 99-year leasehold condos grouped by remaining lease at time of sale, across the last 10 years of transactions. Each band captures what buyers actually paid — not a theoretical decay curve.
The data consistently shows the discount accelerates sharply below 60 years remaining. Above 60 years, PSF holds close to freehold parity. Between 40–59 years, the discount widens to roughly 15–25%. Below 40 years, properties trade at a meaningful haircut and — critically — CPF usage is restricted, which reduces the eligible buyer pool and further dampens liquidity.
Practical threshold: For most buyers, 60 years remaining is the floor for a liquid, CPF-eligible asset. Below 40 years, factor in the financing constraints and haircut both in your offer price and your expected exit PSF.
Data caveat: remaining lease is computed from the remaining_lease field recorded at time of transaction. Older records with missing values are excluded. Bands with fewer than 50 transactions are not shown.
99-yr leasehold condos · last 10 years · Singapore
Which performs better — 1-bedroom, 2-bedroom, 3-bedroom, 4-bedroom, or 5-bedroom?
The chart uses HDB resale data — the most liquid and data-rich segment in Singapore — to track median PSF by flat type over the last 10 years. Private condo bedroom data is not standardised across URA’s caveat records (the unit-type field is freeform), so the cleanest apples-to-apples comparison is the HDB flat-type taxonomy: 1-Room through Executive.
The consistent finding across cycles: smaller flat types (3-Room and below) deliver stronger PSF growth. This is partly compositional — smaller units are in higher demand from first-time buyers and investors, and their absolute price points face less resistance. 4-Room and 5-Room flats, while commanding lower PSF, often deliver better absolute dollar gains because of their larger area.
Executive flats are an outlier: their PSF is compressed by limited liquidity (fewer buyers qualify for the loan quantum), but they are good value on a per-sqft basis in high-demand towns.
For private condos, the proxy rule-of-thumb is: 1–2 bedroom units tend to command the highest PSF (investor demand, yield-buyers, smaller ticket size) while 3–4 bedroom units offer the best absolute dollar appreciation in prime districts.
Data: HDB resale transactions only. flat_type as defined in the HDB resale dataset. ‘MULTI-GENERATION’ excluded (very low volume).
HDB resale · yearly median PSF · last 10 years · all Singapore towns
Which district should I buy into?
The chart shows condo median PSF by district over the last 10 years. Use the chips to select up to 5 districts to compare their price trajectories side by side. The ranking table below shows all active districts ranked by latest-year PSF, with 3-year CAGR and annual transaction count.
By latest PSF: D9 (Orchard/River Valley), D10 (Tanglin/Holland), and D11 (Newton/Novena) consistently lead. D1–D4 (CBD and Marina Bay corridor) follow closely with stronger growth momentum in recent years.
By 3-year CAGR: Mid-market districts D19 (Serangoon/Hougang) and D20 (Bishan/Ang Mo Kio) have delivered competitive growth at lower entry PSFs — the value play for buyers who cannot underwrite prime-district prices.
By liquidity (transaction count): D15 (Katong/ Marine Parade) and D19 consistently rank among the most active markets. Liquidity matters at exit — illiquid districts extend time-on-market and compress your negotiating leverage.
Practical framework: Pick districts where you understand the micro-location; filter by your budget (PSF × minimum unit size); check 3-yr CAGR and transaction count before committing. The district sets the macro; the specific development and floor level drive the micro.
Data: private condos only (URA caveats). Yearly median PSF = price / area_sqft, median across all condo transactions in that district and year. Districts with fewer than 20 transactions in a year are excluded from that year’s data point.
Select up to 5 districts to compare
Private condos · yearly median PSF · last 10 years
Top 10 districts by latest median PSF
| District | Latest PSF | 3-yr CAGR | Txns (yr) |
|---|---|---|---|
| D6 | $3,347 | +1.9% | 1 |
| D9 | $3,103 | +6.5% | 682 |
| D2 | $3,032 | +9.9% | 241 |
| D1 | $2,802 | +13.7% | 180 |
| D16 | $2,568 | +19.0% | 996 |
| D7 | $2,482 | -1.7% | 73 |
| D5 | $2,348 | +8.6% | 612 |
| D3 | $2,348 | +1.7% | 271 |
| D10 | $2,309 | -3.5% | 377 |
| D15 | $2,291 | -1.1% | 601 |
About haio
What is haio?
A free, public database of every recorded Singapore residential property transaction since 1995 — HDB, condo, and landed. No signup, no paywall, no ads. The home page search and district pages are the two main ways to explore it.
How accurate is the price estimate?
The estimate on each property page uses ValueAI’s AVM, trained on 1,885,908 Singapore residential transactions. Every estimate is shown as a 25th–75th percentile range (not a single number) with the count of comparable sales it’s based on. We never hide a thin sample. It is not an appraisal — banks and licensed valuers run their own underwriting. See methodology §3 for the gating rules.
Why is the chart empty for some properties?
The PSF chart is drawn from the last 3 years of comparable transactions in the same district + tenure cohort, within ±15% of the subject’s area. When fewer than 5 such rows exist, or when every transaction in scope lacks a recorded area_sqft(common on older HDB rows), the chart falls back to an empty state. The underlying transactions still appear in the table below — it’s the chart that can’t draw them.
Does freehold vs leasehold actually matter at resale?
In Singapore, tenure affects resale pricing — but less than most buyers expect, and only predictably once a leasehold property falls below ~60 years remaining. Young leaseholds (99-year with 80+ years left) transact at near-parity with freehold in the same district and building class. The gap widens sharply as lease shortens. See the Freehold vs Leasehold deep-dive for the district-by-district data.
What does "cadastral-only" mean?
Some landed properties are catalogued from SLA OneMap polygons but have no recorded transaction in URA’s database. They are real properties; their addresses are accurate; but we have no price history. These pages carry a caveat banner labelled “cadastral-only”. Treat them as “this address exists”, not “this address has been on the market”. See methodology §7.1 for the exact count.
Can I download the data?
Not yet through haio. The methodology page lists every public source we pull from — URA caveats, HDB resale from data.gov.sg, SLA OneMap, MAS SORA — so you can replicate the same dataset yourself. A bulk export endpoint is on the roadmap.
Is this site sponsored or advertising?
No. haio shows no listings, takes no agent fees, runs no ads. The estimate uses ValueAI’s AVM purely for the price model — no commercial relationship affects what you see. It is built and maintained by one person in Singapore; contact details are in §9 below.
How often is the data updated?
URA private caveats: pulled daily, though URA itself lands them roughly weekly behind the actual transaction. HDB resale: daily delta from data.gov.sg. SLA landed registry: weekly. SORA rates: daily. Every source surfaces its last refresh time on the methodology page.
What's the difference between haio and CondoNeo / LandedFirst?
haio is the database — every property’s transaction history. CondoNeo and LandedFirst are sister tools for browsing new launches and landed homes currently for sale. The navbar’s Browse New Launches and Browse New Landed links take you to those tools embedded in haio.
I think a number on this page is wrong. What do I do?
Email wttg72@gmail.com. Cite the URL and the field. We’ll trace it back to the source dataset (URA, HDB, SLA, or MAS) and either fix it or document why we can’t.
Is my data being collected?
haio uses no third-party analytics and no cookies beyond what your browser stores locally. Starred properties live in your browser’s localStorage — they are never sent to a haio server. The site is hosted on Vercel.
Still curious? The methodology document is the canonical reference for how every figure on this site is computed.