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SG Property Intel
TerraceFreeholdRest of Central RegionInvestment score 58

Landed Housing Development

CAMBRIDGE ROAD · D08

Median PSF · 12m

S$2,824

Median price · 12m

S$4.63M

Latest sale

S$5.05M

Aug 2026

1-year change

+49.5%

Sales · 12m

2

6 all time

Gross yield

2.23%

2 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
+15.6%
Annualised
+12.3%
Transactions
6
1 year
+49.5%
3 years p.a.
5 years p.a.
Median size
1,697 sqft

Against the neighbourhood

How it compares within D08

Little India, Farrer Park, Jalan Besar. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureLanded Housing DevelopmentD08 medianDifference
Median PSFS$2,824S$1,786+58.1%
Median priceS$4.63MS$1.64M+182.4%
Gross rental yield2.23%4.00%-1.8 pts
1-year price change+49.5%+1.5%+47.9 pts

This development trades about 58% above the D08 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$8,150

Contracts · 12m

2

Implied annual rent

S$98K

Gross yield

2.23%

Unit typeContractsMedian rent
All units2S$8,150

Investment analysis

Investment score 58 / 100

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

58/100

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%99

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

  • Supply riskweight 10%92

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

  • Liquidityweight 15%69

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

  • Valuationweight 22%46

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

  • Locationweight 15%36

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Farrer Park MRT at 720 m.

  • Rental yieldweight 20%26

    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

  • Farrer Park MRT720 m
  • Novena MRT810 m
  • Little India Interchange MRT850 m
  • Little India MRT900 m

Schools within 2 km

  • Farrer Park Primary Schoolprimary380 m
  • St. Joseph'S Institution Juniorprimary450 m
  • Northlight Schoolsecondary (s1-s4)940 m
  • Anglo-Chinese School (Junior)primary1.0 km
  • St. Margaret'S School (Primary)primary1.2 km
  • Hong Wen Schoolprimary1.3 km

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

Supply

Upcoming competition

  • PICCADILLY GRANDMaximus Residential SG Pte Ltd/Maximus Commercial SG Pte Ltd407 units600 m
  • SANCTUARY@NEWTONASK Development Pte Ltd38 units780 m
  • ENCHANT�Evelyn Pte Ltd25 units900 m
  • PULLMAN RESIDENCES NEWTONEL Development (Horizon) Pte Ltd340 units1.1 km
  • 32 GILSTEADPeak Vista Pte Ltd14 units1.1 km
  • ORCHARD SOPHIAOrchard Sophia Pte Ltd78 units1.3 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Aug 2026TerraceS$5,050,0001,697 sqftS$2,975-
Oct 2025TerraceS$4,200,0001,572 sqftS$2,673-
May 2025TerraceS$4,579,0001,701 sqftS$2,692-
May 2025TerraceS$1,844,0001,697 sqftS$1,086-
Jun 2024TerraceS$3,400,0001,538 sqftS$2,210-
Oct 2023TerraceS$4,500,0001,749 sqftS$2,573-

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.