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SG Property Intel
ApartmentFreeholdRest of Central RegionInvestment score 50

Dunman Place

DUNMAN ROAD · D15

Median PSF · 12m

S$2,019

Median price · 12m

S$2.61M

Latest sale

S$2.61M

May 2026

1-year change

+2.8%

Sales · 12m

1

6 all time

Gross yield

2.76%

6 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
+35.6%
Annualised
+22.5%
Transactions
6
1 year
+2.8%
3 years p.a.
+6.8%
5 years p.a.
Median size
1,308 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
MeasureDunman PlaceD15 medianDifference
Median PSFS$2,019S$2,319-12.9%
Median priceS$2.61MS$2.90M-10.1%
Gross rental yield2.76%2.96%-0.2 pts
1-year price change+2.8%-6.4%+9.2 pts

This development trades about 13% below 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

6

Implied annual rent

S$59K

Gross yield

2.76%

Unit typeContractsMedian rent
3 bedroom3S$5,000
2 bedroom2S$3,950
4 bedroom1S$6,000

Investment analysis

Investment score 50 / 100

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

50/100

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%82

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

  • Liquidityweight 15%56

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

  • Valuationweight 22%48

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

  • Locationweight 15%47

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Dakota MRT at 780 m.

  • Rental yieldweight 20%39

    Gross yield against every other development in its segment.

  • 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

  • Dakota MRT780 m
  • Cc9 MRT930 m
  • Paya Lebar Interchange MRT950 m
  • Paya Lebar MRT1.0 km

Schools within 2 km

  • Tanjong Katong Girls' Schoolsecondary (s1-s4)150 m
  • Tanjong Katong Secondary Schoolsecondary (s1-s4)210 m
  • Chung Cheng High School (Main)secondary (s1-s4)660 m
  • Tanjong Katong Primary Schoolprimary700 m
  • Kong Hwa Schoolprimary820 m
  • Haig Girls' Schoolprimary860 m

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

Supply

Upcoming competition

  • The ContinuumHoi Hup Sunway Katong Pte Ltd816 units90 m
  • THE CONTINUUMHoi Hup Sunway Katong Pte Ltd816 units100 m
  • ARDOR RESIDENCENS Property (Haig) Pte Ltd35 units550 m
  • KOON SENG HOUSEMequity K Pte Ltd17 units1.0 km
  • AMBER HOUSEUrban Park Pte Ltd105 units1.1 km
  • K SUITESEG Properties Pte Ltd19 units1.4 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
May 2026ApartmentS$2,608,0001,292 sqftS$2,01911-15
Jan 2025ApartmentS$2,600,0001,324 sqftS$1,96411-15
Jul 2024ApartmentS$2,750,0001,442 sqftS$1,90701-05
Jun 2023ApartmentS$2,268,0001,292 sqftS$1,75606-10
Feb 2023ApartmentS$2,140,0001,292 sqftS$1,65711-15
Dec 2022ApartmentS$2,148,0001,442 sqftS$1,48901-05

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.