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SG Property Intel
ApartmentFreeholdRest of Central RegionInvestment score 59

Shiro

LORONG H TELOK KURAU · D15

Median PSF · 12m

S$1,496

Median price · 12m

S$1.89M

Latest sale

S$2.21M

Aug 2026

1-year change

Sales · 12m

2

7 all time

Gross yield

4.46%

5 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
+8.8%
Annualised
+7.0%
Transactions
7
1 year
3 years p.a.
+1.9%
5 years p.a.
Median size
904 sqft

Against the neighbourhood

How it compares within D15

Katong, Joo Chiat, Amber Road, Marine Parade. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureShiroD15 medianDifference
Median PSFS$1,496S$1,833-18.4%
Median priceS$1.89MS$2.14M-11.9%
Gross rental yield4.46%4.13%+0.3 pts
1-year price change+2.3%

This development trades about 18% below the D15 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,500

Contracts · 12m

5

Implied annual rent

S$54K

Gross yield

4.46%

Unit typeContractsMedian rent
2 bedroom2S$4,600
1 bedroom2S$2,450
3 bedroom1S$5,800

Investment analysis

Investment score 59 / 100

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

59/100

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%89

    Gross yield against every other development in its segment.

  • Valuationweight 22%79

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

  • Liquidityweight 15%69

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

  • Price momentumweight 18%37

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

  • Locationweight 15%37

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Kembangan MRT at 640 m.

  • Supply riskweight 10%8

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

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

  • Kembangan MRT640 m
  • Eunos MRT880 m
  • Marine Terrace MRT1.2 km
  • Marine Parade MRT1.4 km

Schools within 2 km

  • St. Stephen'S Schoolprimary860 m
  • Haig Girls' Schoolprimary910 m
  • Chij (Katong) Primaryprimary1.1 km
  • Tao Nan Schoolprimary1.2 km
  • St. Patrick'S Schoolsecondary (s1-s5)1.2 km
  • Chij Katong Conventsecondary (s1-s5)1.3 km

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

Supply

Upcoming competition

  • K SUITESEG Properties Pte Ltd19 units440 m
  • KOON SENG HOUSEMequity K Pte Ltd17 units740 m
  • ARDOR RESIDENCENS Property (Haig) Pte Ltd35 units1.6 km
  • The ContinuumHoi Hup Sunway Katong Pte Ltd816 units1.8 km
  • THE CONTINUUMHoi Hup Sunway Katong Pte Ltd816 units1.8 km
  • AMBER HOUSEUrban Park Pte Ltd105 units1.9 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$2,210,0001,744 sqftS$1,26701-05
Jul 2026ApartmentS$1,560,000904 sqftS$1,72501-05
Mar 2024ApartmentS$1,308,000990 sqftS$1,32101-05
Apr 2023ApartmentS$640,000452 sqftS$1,41601-05
Apr 2022ApartmentS$1,150,000904 sqftS$1,27201-05
Nov 2021ApartmentS$1,238,888990 sqftS$1,25101-05
Nov 2021ApartmentS$678,000452 sqftS$1,50001-05

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.