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SGPropertyIntel
TerraceFreeholdRest of Central RegionInvestment score 34

Landed Housing Development

LENGKONG DUA · D14

Median PSF · 12m

Median price · 12m

Latest sale

S$6.05M

Jul 2025

1-year change

Sales · 12m

0

14 all time

Gross yield

1.78%

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
+56.0%
Annualised
+34.5%
Transactions
14
1 year
3 years p.a.
5 years p.a.
Median size
4,342 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$1,698
Median priceS$1.43M
Gross rental yield1.78%3.80%-2.0 pts
1-year price change-2.1%

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$8,600

Contracts · 12m

3

Implied annual rent

S$103K

Gross yield

1.78%

Unit typeContractsMedian rent
All units3S$8,600

Investment analysis

Investment score 34 / 100

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

34/100

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.

  • Supply riskweight 10%100

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

  • Locationweight 15%46

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Kembangan MRT at 540 m.

  • Rental yieldweight 20%17

    Gross yield against every other development in its segment.

  • 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

  • Kembangan MRT540 m
  • Kaki Bukit MRT1.1 km
  • Bedok North MRT1.2 km
  • Eunos MRT1.2 km

Schools within 2 km

  • Telok Kurau Primary Schoolprimary600 m
  • St. Stephen'S Schoolprimary1.0 km
  • Manjusri Secondary Schoolsecondary (s1-s5)1.2 km
  • Maha Bodhi Schoolprimary1.2 km
  • Damai Primary Schoolprimary1.5 km
  • Opera Estate Primary Schoolprimary1.5 km

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

Supply

Upcoming competition

  • K SUITESEG Properties Pte Ltd19 units1.5 km
  • KOON SENG HOUSEMequity K Pte Ltd17 units1.7 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jul 2025TerraceS$6,050,0002,692 sqftS$2,247-
Jul 2025TerraceS$6,050,0002,692 sqftS$2,247-
Nov 2024Semi-detachedS$5,380,0004,342 sqftS$1,239-
Nov 2024Semi-detachedS$5,380,0004,342 sqftS$1,239-
Feb 2023Semi-detachedS$4,500,0004,392 sqftS$1,025-
Feb 2023Semi-detachedS$4,500,0004,392 sqftS$1,025-
Dec 2022TerraceS$6,111,2386,217 sqftS$983-
Dec 2022TerraceS$6,111,2386,217 sqftS$983-
Jul 2022TerraceS$4,300,0002,124 sqftS$2,025-
Jul 2022TerraceS$4,300,0002,124 sqftS$2,025-
Jun 2022Semi-detachedS$5,050,0004,441 sqftS$1,137-
Jun 2022Semi-detachedS$5,050,0004,441 sqftS$1,137-
Apr 2022TerraceS$3,920,0002,248 sqftS$1,744-
Apr 2022TerraceS$3,920,0002,248 sqftS$1,744-

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.