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SG Property Intel
ApartmentFreeholdCore Central RegionInvestment score 47

Kum Hing Court

TOMLINSON ROAD · D10

Median PSF · 12m

S$2,498

Median price · 12m

S$4.06M

Latest sale

S$4.06M

Nov 2025

1-year change

+11.2%

Sales · 12m

1

5 all time

Gross yield

1.69%

32 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
-4.5%
Annualised
-3.6%
Transactions
5
1 year
+11.2%
3 years p.a.
5 years p.a.
Median size
1,625 sqft

Against the neighbourhood

How it compares within D10

Ardmore, Bukit Timah, Holland Road, Tanglin. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureKum Hing CourtD10 medianDifference
Median PSFS$2,498S$2,225+12.3%
Median priceS$4.06MS$3.16M+28.4%
Gross rental yield1.69%4.12%-2.4 pts
1-year price change+11.2%+0.6%+10.6 pts

This development trades about 12% above the D10 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$5,500

Contracts · 12m

32

Implied annual rent

S$66K

Gross yield

1.69%

Unit typeContractsMedian rent
All units32S$5,500

Investment analysis

Investment score 47 / 100

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

47/100

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%92

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

  • Locationweight 15%61

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Orchard Boulevard MRT at 270 m.

  • Liquidityweight 15%56

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

  • Supply riskweight 10%42

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

  • Valuationweight 22%25

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

  • Rental yieldweight 20%14

    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

  • Orchard Boulevard MRT270 m
  • Orchard MRT650 m
  • Napier MRT790 m
  • Great World MRT1.3 km

Schools within 2 km

  • Alexandra Primary Schoolprimary1.4 km
  • Crescent Girls' Schoolsecondary (s1-s4)1.5 km
  • River Valley Primary Schoolprimary1.5 km
  • Gan Eng Seng Schoolsecondary (s1-s5)1.7 km
  • Anglo-Chinese School (Junior)primary1.8 km
  • Queenstown Secondary Schoolsecondary (s1-s5)1.8 km

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

Supply

Upcoming competition

  • PARK NOVAShun Tak Cuscaden Residential Pte Ltd54 units50 m
  • GRANGE 1866Grange 1866 Pte Ltd60 units540 m
  • 21 ANDERSONAnderson International Properties Pte. Ltd/Raffles Legend Properties Pte. Ltd.19 units1.0 km
  • JERVOIS MANSIONKimen Realty Pte Ltd130 units1.2 km
  • THE AVENIRCarmel Development Pte Ltd376 units1.6 km
  • ASPEN LINQOptimus Hill Pte Ltd18 units1.8 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Nov 2025ApartmentS$4,060,0001,625 sqftS$2,49811-15
May 2025ApartmentS$3,600,0001,625 sqftS$2,21501-05
Feb 2025ApartmentS$3,700,0001,625 sqftS$2,27601-05
Jan 2024ApartmentS$4,180,0001,625 sqftS$2,57201-05
Nov 2021ApartmentS$4,250,0001,625 sqftS$2,61501-05

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.