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SGPropertyIntel
ApartmentFreeholdRest of Central RegionInvestment score 43

Carpmael Thirty-Eight

CARPMAEL ROAD · D15

Median PSF · 12m

S$1,896

Median price · 12m

S$2.30M

Latest sale

S$2.39M

Oct 2026

1-year change

—

Sales · 12m

3

5 all time

Gross yield

3.22%

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
+7.5%
Annualised
+5.9%
Transactions
5
1 year
—
3 years p.a.
—
5 years p.a.
—
Median size
1,259 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
MeasureCarpmael Thirty-EightD15 medianDifference
Median PSFS$1,896S$1,833+3.4%
Median priceS$2.30MS$2.17M+6.2%
Gross rental yield3.22%4.14%-0.9 pts
1-year price change—+2.0%—

This development trades about 3% above the D15 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,900

Contracts · 12m

2

Implied annual rent

S$59K

Gross yield

3.22%

Unit typeContractsMedian rent
2 bedroom1S$3,300
4 bedroom1S$6,500

Investment analysis

Investment score 43 / 100

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

43/100

82% 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.

  • Liquidityweight 15%77

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

  • Rental yieldweight 20%54

    Gross yield against every other development in its segment.

  • Valuationweight 22%39

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

  • 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%7

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

  • Price momentumweight 18%not measurable

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

Not enough data to score 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' Schoolprimary360 m
  • Tanjong Katong Secondary Schoolsecondary (s1-s4)370 m
  • Tanjong Katong Girls' Schoolsecondary (s1-s4)530 m
  • Tanjong Katong Primary Schoolprimary590 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 units470 m
  • KOON SENG HOUSEMequity K Pte Ltd17 units540 m
  • The ContinuumHoi Hup Sunway Katong Pte Ltd · TOP 2027816 units540 m
  • THE CONTINUUMHoi Hup Sunway Katong Pte Ltd816 units550 m
  • K SUITESEG Properties Pte Ltd19 units920 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
Oct 2026ApartmentS$2,388,0001,259 sqftS$1,89601-05—
Jul 2026ApartmentS$2,070,0001,076 sqftS$1,92301-05—
Dec 2025ApartmentS$2,300,0001,270 sqftS$1,81101-05—
Oct 2024ApartmentS$2,180,0001,173 sqftS$1,85801-05—
Apr 2022ApartmentS$2,222,0001,259 sqftS$1,76401-05—

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.