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SG Property Intel
ApartmentFreeholdRest of Central RegionInvestment score 60

The Merlot

KENG LEE ROAD · D08

Median PSF · 12m

S$1,502

Median price · 12m

S$1.50M

Latest sale

S$1.78M

Aug 2026

1-year change

Sales · 12m

2

5 all time

Gross yield

3.80%

11 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
+43.4%
Annualised
+33.4%
Transactions
5
1 year
3 years p.a.
-0.4%
5 years p.a.
Median size
883 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
MeasureThe MerlotD08 medianDifference
Median PSFS$1,502S$1,786-15.9%
Median priceS$1.50MS$1.64M-8.4%
Gross rental yield3.80%4.00%-0.2 pts
1-year price change+1.5%

This development trades about 16% below the D08 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,200

Contracts · 12m

11

Implied annual rent

S$38K

Gross yield

3.80%

Unit typeContractsMedian rent
1 bedroom6S$3,025
2 bedroom4S$3,750
3 bedroom1S$4,750

Investment analysis

Investment score 60 / 100

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

60/100

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.

  • Supply riskweight 10%92

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

  • Valuationweight 22%75

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

  • Rental yieldweight 20%72

    Gross yield against every other development in its segment.

  • Liquidityweight 15%69

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

  • Locationweight 15%43

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

  • Price momentumweight 18%19

    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

  • 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
Aug 2026ApartmentS$1,780,0001,098 sqftS$1,62106-10
Mar 2026ApartmentS$1,220,000883 sqftS$1,38206-10
May 2023ApartmentS$1,320,000883 sqftS$1,49606-10
Feb 2023ApartmentS$800,000517 sqftS$1,54811-15
May 2022ApartmentS$998,000883 sqftS$1,13106-10

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.