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SGPropertyIntel
ApartmentFreeholdRest of Central RegionInvestment score 48

Keng Lee Court

KENG LEE ROAD · D08

Median PSF · 12m

—

Median price · 12m

—

Latest sale

S$1.60M

Oct 2025

1-year change

—

Sales · 12m

0

6 all time

Gross yield

3.59%

10 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
+5.6%
Annualised
+4.4%
Transactions
6
1 year
—
3 years p.a.
—
5 years p.a.
—
Median size
834 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
MeasureKeng Lee CourtD08 medianDifference
Median PSF—S$1,817—
Median price—S$1.67M—
Gross rental yield3.59%4.00%-0.4 pts
1-year price change—+3.7%—

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,700

Contracts · 12m

10

Implied annual rent

S$44K

Gross yield

3.59%

Unit typeContractsMedian rent
3 bedroom5S$4,150
1 bedroom3S$2,700
2 bedroom2S$2,800

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

60% 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.

  • Supply riskweight 10%89

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

  • Rental yieldweight 20%67

    Gross yield against every other development in its segment.

  • Locationweight 15%43

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Newton MRT at 630 m.

  • Liquidityweight 15%0

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

  • Valuationweight 22%not measurable

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

  • Price momentumweight 18%not measurable

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

Not enough data to score valuation, 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

  • Newton MRT630 m
  • Novena MRT760 m
  • Little India Interchange MRT930 m
  • Little India MRT1.0 km

Schools within 2 km

  • St. Joseph'S Institution Juniorprimary500 m
  • Anglo-Chinese School (Junior)primary570 m
  • Farrer Park Primary Schoolprimary800 m
  • Anglo-Chinese School (Primary)primary1.0 km
  • Anglo-Chinese School (Barker Road)secondary (s1-s5)1.1 km
  • St. Margaret'S School (Primary)primary1.1 km

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

Supply

Upcoming competition

  • SANCTUARY@NEWTONASK Development Pte Ltd38 units360 m
  • ENCHANT�Evelyn Pte Ltd25 units440 m
  • PULLMAN RESIDENCES NEWTONEL Development (Horizon) Pte Ltd340 units540 m
  • 32 GILSTEADPeak Vista Pte Ltd14 units650 m
  • PICCADILLY GRANDMaximus Residential SG Pte Ltd/Maximus Commercial SG Pte Ltd407 units1.0 km
  • ORCHARD SOPHIAOrchard Sophia Pte Ltd78 units1.2 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$1,600,0001,055 sqftS$1,51701-05—
Dec 2024ApartmentS$760,000474 sqftS$1,60501-05—
Apr 2024ApartmentS$1,650,0001,066 sqftS$1,54801-05—
Apr 2024ApartmentS$768,000474 sqftS$1,62201-05—
Jul 2023ApartmentS$955,000624 sqftS$1,53001-05—
May 2023ApartmentS$1,500,0001,044 sqftS$1,43701-05—

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.