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SG Property Intel
ApartmentFreeholdCore Central RegionInvestment score 56

Suites @ Shrewsbury

SHREWSBURY ROAD · D11

Median PSF · 12m

S$2,115

Median price · 12m

S$706K

Latest sale

S$706K

Oct 2025

1-year change

+35.5%

Sales · 12m

1

5 all time

Gross yield

4.35%

6 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
+2.3%
Annualised
+1.8%
Transactions
5
1 year
+35.5%
3 years p.a.
+1.8%
5 years p.a.
Median size
334 sqft

Against the neighbourhood

How it compares within D11

Watten Estate, Novena, Thomson. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureSuites @ ShrewsburyD11 medianDifference
Median PSFS$2,115S$2,049+3.3%
Median priceS$706KS$2.40M-70.6%
Gross rental yield4.35%3.83%+0.5 pts
1-year price change+35.5%+0.9%+34.6 pts

This development trades about 3% above the D11 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$2,750

Contracts · 12m

6

Implied annual rent

S$33K

Gross yield

4.35%

Unit typeContractsMedian rent
1 bedroom6S$2,750

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

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.

  • Rental yieldweight 20%87

    Gross yield against every other development in its segment.

  • Supply riskweight 10%77

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

  • Liquidityweight 15%56

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

  • Locationweight 15%47

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Novena MRT at 580 m.

  • Valuationweight 22%38

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

  • Price momentumweight 18%36

    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

  • Novena MRT580 m
  • Farrer Park MRT930 m
  • Little India Interchange MRT1.2 km
  • Little India MRT1.3 km

Schools within 2 km

  • St. Joseph'S Institution Juniorprimary340 m
  • Farrer Park Primary Schoolprimary700 m
  • Northlight Schoolsecondary (s1-s4)800 m
  • Hong Wen Schoolprimary1.1 km
  • Anglo-Chinese School (Junior)primary1.3 km
  • Anglo-Chinese School (Barker Road)secondary (s1-s5)1.4 km

Distances are straight-line. Proximity does not determine school admission eligibility.

Supply

Upcoming competition

  • SANCTUARY@NEWTONASK Development Pte Ltd38 units830 m
  • PICCADILLY GRANDMaximus Residential SG Pte Ltd/Maximus Commercial SG Pte Ltd407 units890 m
  • ENCHANT�Evelyn Pte Ltd25 units1.0 km
  • 32 GILSTEADPeak Vista Pte Ltd14 units1.1 km
  • PULLMAN RESIDENCES NEWTONEL Development (Horizon) Pte Ltd340 units1.2 km
  • ORCHARD SOPHIAOrchard Sophia Pte Ltd78 units1.7 km

High upcoming supply nearby may increase competition for tenants and buyers.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Oct 2025ApartmentS$705,888334 sqftS$2,11501-05
Feb 2025ApartmentS$840,000538 sqftS$1,56101-05
Aug 2024ApartmentS$700,000366 sqftS$1,91301-05
Jun 2023ApartmentS$650,000334 sqftS$1,94801-05
Feb 2023ApartmentS$690,000334 sqftS$2,06801-05

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.