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SG Property Intel
ApartmentFreeholdRest of Central RegionInvestment score 69

Race Course 138

RACE COURSE ROAD · Singapore 218688 · D08

Median PSF · 12m

S$1,075

Median price · 12m

S$1.25M

Latest sale

S$1.20M

Mar 2026

1-year change

-5.3%

Sales · 12m

2

10 all time

Gross yield

5.14%

8 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
-4.8%
Annualised
-2.7%
Transactions
10
1 year
-5.3%
3 years p.a.
-11.9%
5 years p.a.
Median size
1,163 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
MeasureRace Course 138D08 medianDifference
Median PSFS$1,075S$1,786-39.8%
Median priceS$1.25MS$1.64M-23.7%
Gross rental yield5.14%4.00%+1.1 pts
1-year price change-5.3%+1.5%-6.8 pts

This development trades about 40% below the D08 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,575

Contracts · 12m

8

Implied annual rent

S$55K

Gross yield

5.14%

Unit typeContractsMedian rent
3 bedroom4S$4,575
1 bedroom2S$3,200
4 bedroom2S$6,600

Investment analysis

Investment score 69 / 100

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

69/100

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%96

    Gross yield against every other development in its segment.

  • Valuationweight 22%95

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

  • 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.

  • Locationweight 15%56

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Boon Keng MRT at 510 m.

  • Price momentumweight 18%2

    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

  • Boon Keng MRT510 m
  • Farrer Park MRT590 m
  • Bendemeer MRT620 m
  • Lavender MRT1.1 km

Schools within 2 km

  • Northlight Schoolsecondary (s1-s4)440 m
  • Hong Wen Schoolprimary650 m
  • Farrer Park Primary Schoolprimary910 m
  • Bendemeer Secondary Schoolsecondary (s1-s5)1.0 km
  • Bendemeer Primary Schoolprimary1.0 km
  • St. Joseph'S Institution Juniorprimary1.4 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 units810 m
  • SANCTUARY@NEWTONASK Development Pte Ltd38 units1.8 km
  • ORCHARD SOPHIAOrchard Sophia Pte Ltd78 units1.9 km
  • ENCHANT�Evelyn Pte Ltd25 units2.0 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Mar 2026ApartmentS$1,200,0001,141 sqftS$1,05201-05
Dec 2025ApartmentS$1,300,0001,184 sqftS$1,09801-05
May 2025ApartmentS$1,500,0081,442 sqftS$1,04001-05
Mar 2025ApartmentS$1,625,0001,432 sqftS$1,13501-05
Mar 2025ApartmentS$1,310,0001,141 sqftS$1,14801-05
Mar 2024ApartmentS$1,725,0001,658 sqftS$1,04106-10
May 2023ApartmentS$660,000420 sqftS$1,57206-10
Sep 2022ApartmentS$1,200,000969 sqftS$1,23901-05
Sep 2022ApartmentS$980,0001,206 sqftS$81301-05
Aug 2022ApartmentS$630,000570 sqftS$1,10401-05

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.