Skip to content
SG Property Intel
ApartmentFreeholdRest of Central RegionInvestment score 40

Seraya Residences

SERAYA LANE · D15

Median PSF · 12m

S$1,874

Median price · 12m

S$2.30M

Latest sale

S$2.30M

Oct 2025

1-year change

-1.0%

Sales · 12m

1

6 all time

Gross yield

3.00%

2 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
+6.2%
Annualised
+4.9%
Transactions
6
1 year
-1.0%
3 years p.a.
5 years p.a.
Median size
1,179 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
MeasureSeraya ResidencesD15 medianDifference
Median PSFS$1,874S$2,319-19.2%
Median priceS$2.30MS$2.90M-20.7%
Gross rental yield3.00%2.96%+0.0 pts
1-year price change-1.0%-6.4%+5.4 pts

This development trades about 19% below the D15 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$5,350

Contracts · 12m

2

Implied annual rent

S$64K

Gross yield

3.00%

Unit typeContractsMedian rent
3 bedroom2S$5,350

Investment analysis

Investment score 40 / 100

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

40/100

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.

  • Valuationweight 22%59

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

  • Liquidityweight 15%56

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

  • Rental yieldweight 20%46

    Gross yield against every other development in its segment.

  • Locationweight 15%36

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Tanjong Katong MRT at 860 m.

  • Price momentumweight 18%17

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

  • 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

  • Tanjong Katong MRT860 m
  • Marine Parade MRT860 m
  • Dakota MRT1.2 km
  • Cc9 MRT1.4 km

Schools within 2 km

  • Tanjong Katong Primary Schoolprimary180 m
  • Tanjong Katong Secondary Schoolsecondary (s1-s4)350 m
  • Tanjong Katong Girls' Schoolsecondary (s1-s4)460 m
  • Haig Girls' Schoolprimary670 m
  • Chung Cheng High School (Main)secondary (s1-s4)920 m
  • Chij (Katong) Primaryprimary1.3 km

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

Supply

Upcoming competition

  • ARDOR RESIDENCENS Property (Haig) Pte Ltd35 units60 m
  • AMBER HOUSEUrban Park Pte Ltd105 units600 m
  • The ContinuumHoi Hup Sunway Katong Pte Ltd816 units640 m
  • THE CONTINUUMHoi Hup Sunway Katong Pte Ltd816 units650 m
  • KOON SENG HOUSEMequity K Pte Ltd17 units810 m
  • K SUITESEG Properties Pte Ltd19 units1.1 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$2,300,0001,227 sqftS$1,87401-05
May 2025ApartmentS$2,145,0001,130 sqftS$1,89801-05
May 2025ApartmentS$2,018,8881,044 sqftS$1,93401-05
Feb 2025ApartmentS$2,360,0001,249 sqftS$1,89001-05
Nov 2024ApartmentS$2,350,0001,249 sqftS$1,88201-05
Sep 2024ApartmentS$1,710,000969 sqftS$1,76501-05

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.