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SGPropertyIntel
Detached999-yearCore Central RegionInvestment score 41

Landed homes, Duchess Avenue

DUCHESS AVENUE · D10

Median PSF · 12m

S$3,038

Median price · 12m

S$16.4M

Latest sale

S$16.4M

Sep 2026

1-year change

-5.0%

Sales · 12m

2

10 all time

Gross yield

1.26%

15 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
+16.8%
Annualised
+13.2%
Transactions
10
1 year
-5.0%
3 years p.a.
+5.3%
5 years p.a.
—
Median size
5,401 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.

District analytics
MeasureLanded homes, Duchess AvenueD10 medianDifference
Median PSFS$3,038S$2,235+35.9%
Median priceS$16.4MS$3.23M+407.4%
Gross rental yield1.26%4.09%-2.8 pts
1-year price change-5.0%+1.4%-6.4 pts

This development trades about 36% above the D10 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$16,500

Contracts · 12m

15

Implied annual rent

S$198K

Gross yield

1.26%

Unit typeContractsMedian rent
All units15S$16,500

Investment analysis

Investment score 41 / 100

Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.

41/100

100% 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.

  • Price momentumweight 18%73

    Three-year annualised change in median PSF, or one year where three is unavailable.

  • Liquidityweight 15%69

    Transactions in the last 12 months — how easily it trades.

  • Locationweight 15%59

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Tan Kah Kee MRT at 600 m.

  • Supply riskweight 10%44

    Upcoming units recorded in the same district. Higher score means less competing supply.

  • Valuationweight 22%16

    How its median price per square foot compares with its own district.

  • Rental yieldweight 20%6

    Gross yield against every other development in its segment.

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

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Sep 2026DetachedS$16,408,0005,401 sqftS$3,038-—
Sep 2026DetachedS$16,408,0005,401 sqftS$3,038-—
Sep 2025Semi-detachedS$13,350,0003,425 sqftS$3,898-—
Sep 2025Semi-detachedS$13,350,0003,425 sqftS$3,898-—
Feb 2025DetachedS$13,428,0005,373 sqftS$2,499-—
Feb 2025DetachedS$13,428,0005,373 sqftS$2,499-—
Jan 2024DetachedS$13,990,0005,880 sqftS$2,379-—
Jan 2024DetachedS$13,990,0005,880 sqftS$2,379-—
Dec 2022DetachedS$14,050,0005,401 sqftS$2,601-—
Dec 2022DetachedS$14,050,0005,401 sqftS$2,601-—

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.