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SG Property Intel
TerraceFreeholdRest of Central RegionInvestment score 47

Landed Housing Development

JALAN SENTOSA · D14

Median PSF · 12m

S$1,878

Median price · 12m

S$4.02M

Latest sale

S$4.02M

Apr 2026

1-year change

-6.2%

Sales · 12m

2

12 all time

Gross yield

2.18%

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
+69.1%
Annualised
+42.0%
Transactions
12
1 year
-6.2%
3 years p.a.
5 years p.a.
Median size
2,915 sqft

Against the neighbourhood

How it compares within D14

Geylang, Eunos, Paya Lebar. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureLanded Housing DevelopmentD14 medianDifference
Median PSFS$1,878S$1,698+10.6%
Median priceS$4.02MS$1.43M+181.6%
Gross rental yield2.18%3.80%-1.6 pts
1-year price change-6.2%-2.1%-4.1 pts

This development trades about 11% above the D14 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$9,688

Contracts · 12m

2

Implied annual rent

S$116K

Gross yield

2.18%

Unit typeContractsMedian rent
All units2S$9,688

Investment analysis

Investment score 47 / 100

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

47/100

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.

  • Supply riskweight 10%100

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

  • Liquidityweight 15%69

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

  • Valuationweight 22%62

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

  • Locationweight 15%45

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Kembangan MRT at 550 m.

  • Rental yieldweight 20%26

    Gross yield against every other development in its segment.

  • Price momentumweight 18%5

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

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 MRT550 m
  • Bedok North MRT1.3 km
  • Bedok MRT1.3 km
  • Kaki Bukit MRT1.6 km

Schools within 2 km

  • St. Stephen'S Schoolprimary500 m
  • Opera Estate Primary Schoolprimary850 m
  • Telok Kurau Primary Schoolprimary1.1 km
  • Damai Primary Schoolprimary1.4 km
  • St. Patrick'S Schoolsecondary (s1-s5)1.7 km
  • Fengshan Primary Schoolprimary1.8 km

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

Supply

Upcoming competition

  • K SUITESEG Properties Pte Ltd19 units1.6 km
  • KOON SENG HOUSEMequity K Pte Ltd17 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
Apr 2026TerraceS$4,020,0002,141 sqftS$1,878-
Apr 2026TerraceS$4,020,0002,141 sqftS$1,878-
Sep 2025Semi-detachedS$5,360,0002,677 sqftS$2,002-
Sep 2025Semi-detachedS$5,360,0002,677 sqftS$2,002-
Jul 2024TerraceS$5,000,0004,039 sqftS$1,238-
Jul 2024TerraceS$5,000,0004,039 sqftS$1,238-
Jun 2024TerraceS$7,000,0003,153 sqftS$2,220-
Jun 2024TerraceS$7,000,0003,153 sqftS$2,220-
Nov 2023TerraceS$4,150,0002,500 sqftS$1,660-
Nov 2023TerraceS$4,150,0002,500 sqftS$1,660-
Nov 2021TerraceS$3,500,0003,153 sqftS$1,110-
Nov 2021TerraceS$3,500,0003,153 sqftS$1,110-

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.