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SG Property Intel
TerraceFreeholdOutside Central RegionInvestment score 42

Landed Housing Development

LORONG PAYA LEBAR · D19

Median PSF · 12m

S$2,499

Median price · 12m

S$3.50M

Latest sale

S$3.50M

Oct 2025

1-year change

+2.3%

Sales · 12m

1

11 all time

Gross yield

1.85%

1 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
+48.6%
Annualised
+17.2%
Transactions
11
1 year
+2.3%
3 years p.a.
+12.7%
5 years p.a.
+8.2%
Median size
1,381 sqft

Against the neighbourhood

How it compares within D19

Serangoon Gardens, Hougang, Punggol, Sengkang. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureLanded Housing DevelopmentD19 medianDifference
Median PSFS$2,499S$1,626+53.7%
Median priceS$3.50MS$1.58M+121.5%
Gross rental yield1.85%3.42%-1.6 pts
1-year price change+2.3%+4.9%-2.6 pts

This development trades about 54% above the D19 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$5,301

Contracts · 12m

1

Implied annual rent

S$64K

Gross yield

1.85%

Unit typeContractsMedian rent
All units1S$5,301

Investment analysis

Investment score 42 / 100

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

42/100

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%93

    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.

  • Supply riskweight 10%46

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

  • Locationweight 15%43

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Tai Seng MRT at 570 m.

  • Rental yieldweight 20%18

    Gross yield against every other development in its segment.

  • Valuationweight 22%12

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

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

  • Tai Seng MRT570 m
  • Bartley MRT700 m
  • Mattar MRT1.4 km
  • Macpherson Interchange MRT1.6 km

Schools within 2 km

  • Bartley Secondary Schoolsecondary (s1-s5)240 m
  • Maris Stella High Schoolmixed level (p1-s4)820 m
  • Paya Lebar Methodist Girls' School (Primary)primary1.1 km
  • Cedar Primary Schoolprimary1.1 km
  • St. Gabriel'S Secondary Schoolsecondary (s1-s5)1.3 km
  • Paya Lebar Methodist Girls' School (Secondary)secondary (s1-s5)1.3 km

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

Supply

Upcoming competition

No upcoming supply is recorded nearby. URA pipeline data requires an API key, which is not configured, so this section may be incomplete.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Oct 2025TerraceS$3,500,0001,400 sqftS$2,499-
Aug 2025TerraceS$4,550,0002,768 sqftS$1,644-
Feb 2025TerraceS$3,500,0001,362 sqftS$2,570-
Feb 2025TerraceS$3,380,0001,359 sqftS$2,486-
Oct 2024TerraceS$3,200,0001,333 sqftS$2,401-
Mar 2024TerraceS$3,380,0001,400 sqftS$2,414-
May 2023TerraceS$3,520,0001,637 sqftS$2,150-
Dec 2022TerraceS$4,100,0003,050 sqftS$1,344-
Jul 2022TerraceS$3,180,0001,343 sqftS$2,367-
Nov 2021TerraceS$2,380,0001,362 sqftS$1,748-
Sep 2021TerraceS$4,080,0002,426 sqftS$1,682-

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.