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SG Property Intel
TerraceFreeholdOutside Central RegionInvestment score 44

Paya Lebar Gardens

JALAN USAHA · D19

Median PSF · 12m

S$2,501

Median price · 12m

S$4.40M

Latest sale

S$4.80M

Jan 2026

1-year change

+4.8%

Sales · 12m

2

13 all time

Gross yield

1.70%

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
+136.4%
Annualised
+41.1%
Transactions
13
1 year
+4.8%
3 years p.a.
+5.6%
5 years p.a.
Median size
1,600 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
MeasurePaya Lebar GardensD19 medianDifference
Median PSFS$2,501S$1,626+53.8%
Median priceS$4.40MS$1.58M+178.5%
Gross rental yield1.70%3.42%-1.7 pts
1-year price change+4.8%+4.9%-0.0 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$5,500

Contracts · 12m

1

Implied annual rent

S$66K

Gross yield

1.70%

Unit typeContractsMedian rent
All units1S$5,500

Investment analysis

Investment score 44 / 100

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

44/100

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%74

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

  • Locationweight 15%69

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Bartley MRT at 460 m.

  • Liquidityweight 15%69

    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.

  • Rental yieldweight 20%15

    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

  • Bartley MRT460 m
  • Serangoon MRT1.2 km
  • Tai Seng MRT1.2 km
  • Serangoon Interchange MRT1.3 km

Schools within 2 km

  • Paya Lebar Methodist Girls' School (Primary)primary520 m
  • Bartley Secondary Schoolsecondary (s1-s5)590 m
  • Paya Lebar Methodist Girls' School (Secondary)secondary (s1-s5)680 m
  • Maris Stella High Schoolmixed level (p1-s4)710 m
  • St. Gabriel'S Secondary Schoolsecondary (s1-s5)780 m
  • Cedar Primary Schoolprimary1.4 km

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

Supply

Upcoming competition

  • JANSEN HOUSEMequity GS Pte Ltd21 units1.8 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jan 2026TerraceS$4,800,0001,279 sqftS$3,754-
Oct 2025TerraceS$4,000,0001,600 sqftS$2,501-
Oct 2024TerraceS$4,000,0001,796 sqftS$2,227-
Oct 2024TerraceS$3,258,8881,281 sqftS$2,544-
Jun 2024TerraceS$5,300,0001,827 sqftS$2,902-
May 2024TerraceS$3,030,0001,301 sqftS$2,328-
Apr 2024TerraceS$3,445,0001,600 sqftS$2,154-
Feb 2024TerraceS$3,100,0001,301 sqftS$2,382-
Sep 2023TerraceS$2,718,0001,279 sqftS$2,126-
May 2023TerraceS$3,085,0001,600 sqftS$1,929-
Jan 2023TerraceS$3,600,0001,301 sqftS$2,766-
Aug 2022TerraceS$3,200,0001,622 sqftS$1,973-
Apr 2022TerraceS$2,900,0001,827 sqftS$1,588-

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.