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SG Property Intel
ApartmentFreeholdCore Central RegionInvestment score 48

The Asana

QUEEN'S ROAD · D10

Median PSF · 12m

S$2,154

Median price · 12m

S$858K

Latest sale

S$858K

Jun 2026

1-year change

-13.5%

Sales · 12m

1

11 all time

Gross yield

3.35%

13 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
-20.6%
Annualised
-10.9%
Transactions
11
1 year
-13.5%
3 years p.a.
-3.0%
5 years p.a.
Median size
570 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
MeasureThe AsanaD10 medianDifference
Median PSFS$2,154S$2,225-3.2%
Median priceS$858KS$3.16M-72.9%
Gross rental yield3.35%4.12%-0.8 pts
1-year price change-13.5%+0.6%-14.1 pts

This development trades about 3% below the D10 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,500

Contracts · 12m

13

Implied annual rent

S$54K

Gross yield

3.35%

Unit typeContractsMedian rent
2 bedroom7S$4,300
3 bedroom4S$5,450
1 bedroom2S$3,025

Investment analysis

Investment score 48 / 100

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

48/100

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.

  • Locationweight 15%71

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Farrer Road MRT at 330 m.

  • Rental yieldweight 20%57

    Gross yield against every other development in its segment.

  • Liquidityweight 15%56

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

  • Valuationweight 22%51

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

  • Supply riskweight 10%42

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

  • Price momentumweight 18%10

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

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

  • Farrer Road MRT330 m
  • Tan Kah Kee MRT630 m
  • Botanic Gardens Interchange MRT710 m
  • Botanic Gardens MRT770 m

Schools within 2 km

  • St. Margaret'S School (Secondary)secondary (s1-s5)110 m
  • Nanyang Primary Schoolprimary150 m
  • Hwa Chong Institutionmixed level (s1-jc2)700 m
  • Raffles Girls' Primary Schoolprimary1.1 km
  • National Junior Collegemixed level (s1-jc2)1.2 km
  • Nanyang Girls' High Schoolsecondary (s1-s4)1.4 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

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jun 2026ApartmentS$858,000398 sqftS$2,15401-05
Oct 2024ApartmentS$1,688,888678 sqftS$2,49101-05
Jul 2024ApartmentS$2,310,0001,033 sqftS$2,23501-05
Jul 2024ApartmentS$1,648,000635 sqftS$2,59501-05
Jul 2024ApartmentS$1,165,000506 sqftS$2,30301-05
May 2024ApartmentS$1,588,000635 sqftS$2,50101-05
Feb 2024ApartmentS$988,888398 sqftS$2,48301-05
Aug 2023ApartmentS$1,500,000635 sqftS$2,36201-05
Jul 2023ApartmentS$1,490,000570 sqftS$2,61201-05
Apr 2023ApartmentS$1,100,000517 sqftS$2,12901-05
Jul 2022ApartmentS$1,080,000398 sqftS$2,71201-05

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.