Landed homes, Sian Tuan Avenue
SIAN TUAN AVENUE · D21
Median PSF · 12m
S$2,316
Median price · 12m
S$10.9M
Latest sale
S$10.9M
Sep 2026
1-year change
—
Sales · 12m
1
3 all time
Gross yield
1.43%
1 leases
Price history
How this development has traded
Median transacted price and price per square foot by quarter, from every sale on record here.
- Change over window
- +27.9%
- Annualised
- +38.8%
- Transactions
- 3
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 4,720 sqft
Against the neighbourhood
How it compares within D21
Upper Bukit Timah, Clementi Park, Ulu Pandan. All figures are medians over the last 12 months for private homes in this district.
| Measure | Landed homes, Sian Tuan Avenue | D21 median | Difference |
|---|---|---|---|
| Median PSF | S$2,316 | S$1,844 | +25.6% |
| Median price | S$10.9M | S$2.04M | +437.1% |
| Gross rental yield | 1.43% | 3.71% | -2.3 pts |
| 1-year price change | — | +8.6% | — |
This development trades about 26% above the D21 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$9,400
Contracts · 12m
1
Implied annual rent
S$113K
Gross yield
1.43%
| Unit type | Contracts | Median rent |
|---|---|---|
| All units | 1 | S$9,400 |
Investment analysis
Investment score 31 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
31/100
82% of the scoring weight measurable
Every bar is a percentile rank, so 70 means this development sits above roughly 70% of its peers on that factor. Factors we cannot measure are excluded and the remaining weights are rebalanced, rather than scored as zero.
- Liquidityweight 15%55
Transactions in the last 12 months — how easily it trades.
- Locationweight 15%55
Distance to the nearest rail station, plus schools within 1 km. Nearest is King Albert Park MRT at 400 m.
- Supply riskweight 10%30
Upcoming units recorded in the same district. Higher score means less competing supply.
- Valuationweight 22%17
How its median price per square foot compares with its own district.
- Rental yieldweight 20%9
Gross yield against every other development in its segment.
- Price momentumweight 18%not measurable
Three-year annualised change in median PSF, or one year where three is unavailable.
Not enough data to score price momentum.
The investment score is an analytical indicator computed from transaction and location data. It is not a recommendation, a forecast, or financial advice.
Location
Nearby amenities
Rail stations
- King Albert Park MRT400 m
- Beauty World MRT1.2 km
- Sixth Avenue MRT1.5 km
Schools within 2 km
- Methodist Girls' School (Secondary)secondary (s1-s4)700 m
- Pei Hwa Presbyterian Primary Schoolprimary1.1 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
No upcoming supply is recorded nearby. URA pipeline data requires an API key, which is not configured, so this section may be incomplete.
The record
Transactions at this development
| Month | Type | Price | Size | PSF | Floor | Lease left |
|---|---|---|---|---|---|---|
| Sep 2026 | Detached | S$10,930,000 | 4,720 sqft | S$2,316 | - | — |
| Sep 2024 | Detached | S$11,100,000 | 4,720 sqft | S$2,352 | - | — |
| Nov 2021 | Detached | S$8,680,000 | 4,794 sqft | S$1,811 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Hong Kong Park
S$2,348
+4.1%4 sales1.5% yield
Hua Guan Gardens
S$3,941
+34.6%1 sales1.3% yield
Landed homes, Hua Guan Avenue
S$2,186
—2 sales1.6% yield
Landed homes, Yarwood Avenue
S$2,185
—2 sales2.6% yield
Hock Seng Park
S$2,497
+31.8%3 sales1.4% yield
Landed homes, Binjai Hill
S$1,775
—1 sales
Binjai Park
S$1,780
—1 sales6.2% yield
Landed homes, Wajek Walk
S$2,121
—1 sales0.9% yield
Important
Property values shown are estimates generated from available transaction and market data and are not official valuations. Actual transaction prices may differ. Data availability and accuracy depend on the underlying source datasets. Users should conduct their own due diligence and seek professional advice where appropriate.