Skip to content
SGPropertyIntel
ApartmentFreeholdRest of Central RegionInvestment score 39

Ivory

CEYLON LANE · D15

Median PSF · 12m

Median price · 12m

Latest sale

S$1.07M

Nov 2024

1-year change

Sales · 12m

0

8 all time

Gross yield

4.71%

3 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
+22.1%
Annualised
+12.1%
Transactions
8
1 year
3 years p.a.
5 years p.a.
Median size
1,082 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
MeasureIvoryD15 medianDifference
Median PSFS$1,833
Median priceS$2.14M
Gross rental yield4.71%4.14%+0.6 pts
1-year price change+2.3%

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,200

Contracts · 12m

3

Implied annual rent

S$50K

Gross yield

4.71%

Unit typeContractsMedian rent
3 bedroom2S$4,100
2 bedroom1S$4,200

Investment analysis

Investment score 39 / 100

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

39/100

60% 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%93

    Gross yield against every other development in its segment.

  • Locationweight 15%25

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Eunos MRT at 1.0 km.

  • Supply riskweight 10%8

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

  • Liquidityweight 15%0

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

  • Valuationweight 22%not measurable

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

  • Price momentumweight 18%not measurable

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

Not enough data to score valuation, price momentum.

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

  • Eunos MRT1.0 km
  • Marine Parade MRT1.1 km
  • Cc9 MRT1.1 km
  • Paya Lebar Interchange MRT1.1 km

Schools within 2 km

  • Haig Girls' Schoolprimary330 m
  • Tanjong Katong Secondary Schoolsecondary (s1-s4)410 m
  • Tanjong Katong Girls' Schoolsecondary (s1-s4)570 m
  • Tanjong Katong Primary Schoolprimary630 m
  • Chung Cheng High School (Main)secondary (s1-s4)1.1 km
  • Kong Hwa Schoolprimary1.3 km

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

Supply

Upcoming competition

  • ARDOR RESIDENCENS Property (Haig) Pte Ltd35 units500 m
  • KOON SENG HOUSEMequity K Pte Ltd17 units510 m
  • The ContinuumHoi Hup Sunway Katong Pte Ltd816 units560 m
  • THE CONTINUUMHoi Hup Sunway Katong Pte Ltd816 units570 m
  • K SUITESEG Properties Pte Ltd19 units890 m
  • AMBER HOUSEUrban Park Pte Ltd105 units1.0 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Nov 2024ApartmentS$1,070,000657 sqftS$1,63001-05
Apr 2024ApartmentS$2,000,0001,862 sqftS$1,07401-05
Mar 2024ApartmentS$2,218,0001,744 sqftS$1,27201-05
May 2023ApartmentS$1,460,0001,152 sqftS$1,26801-05
May 2023ApartmentS$955,000657 sqftS$1,45401-05
Jan 2023ApartmentS$1,168,000872 sqftS$1,34001-05
Jul 2022ApartmentS$1,380,0001,238 sqftS$1,11501-05
Mar 2022ApartmentS$1,350,0001,012 sqftS$1,33401-05

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.