Duchess Royale
DUCHESS AVENUE · D10
Median PSF · 12m
S$2,060
Median price · 12m
S$2.55M
Latest sale
S$2.55M
Oct 2025
1-year change
—
Sales · 12m
1
1 all time
Gross yield
3.39%
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.
Not enough transactions to chart a price history.
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 1,238 sqft
Against the neighbourhood
How it compares within D10
Ardmore, Bukit Timah, Holland Road, Tanglin. All figures are medians over the last 12 months for private homes in this district.
| Measure | Duchess Royale | D10 median | Difference |
|---|---|---|---|
| Median PSF | S$2,060 | S$2,225 | -7.4% |
| Median price | S$2.55M | S$3.16M | -19.4% |
| Gross rental yield | 3.39% | 4.12% | -0.7 pts |
| 1-year price change | — | +0.6% | — |
This development trades about 7% below the D10 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$7,800
Contracts · 12m
1
Implied annual rent
S$94K
Gross yield
3.39%
| Unit type | Contracts | Median rent |
|---|---|---|
| 3 bedroom | 1 | S$7,800 |
Investment analysis
Investment score 56 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
56/100
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.
- Valuationweight 22%60
How its median price per square foot compares with its own district.
- Locationweight 15%59
Distance to the nearest rail station, plus schools within 1 km. Nearest is Tan Kah Kee MRT at 600 m.
- Rental yieldweight 20%58
Gross yield against every other development in its segment.
- Liquidityweight 15%56
Transactions in the last 12 months — how easily it trades.
- Supply riskweight 10%42
Upcoming units recorded in the same district. Higher score means less competing supply.
- 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
- Tan Kah Kee MRT600 m
- Farrer Road MRT850 m
- Sixth Avenue MRT1.1 km
- Botanic Gardens Interchange MRT1.4 km
Schools within 2 km
- Hwa Chong Institutionmixed level (s1-jc2)400 m
- Nanyang Primary Schoolprimary610 m
- Raffles Girls' Primary Schoolprimary770 m
- National Junior Collegemixed level (s1-jc2)770 m
- Nanyang Girls' High Schoolsecondary (s1-s4)790 m
- St. Margaret'S School (Secondary)secondary (s1-s5)870 m
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 |
|---|---|---|---|---|---|---|
| Oct 2025 | Apartment | S$2,550,000 | 1,238 sqft | S$2,060 | 01-05 | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Coronation Gardens
S$2,928
—1 sales1.3% yield
Duchess Crest
S$1,973
+2.5%10 sales4.0% yield
Duchess Garden
S$2,563
—3 sales1.5% yield
Casabella
S$2,070
+4.3%1 sales3.2% yield
Duchess Residences
S$2,112
+2.3%6 sales3.7% yield
Victoria Park Villas
S$2,685
+9.6%2 sales2.9% yield
Landed Housing Development
S$2,599
-1.1%4 sales1.3% yield
Landed Housing Development
S$2,559
—4 sales1.5% 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.