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SG Property Intel
TerraceFreeholdOutside Central RegionInvestment score 40

Fengli Gardens

LORONG ONG LYE · D19

Median PSF · 12m

S$1,704

Median price · 12m

S$6.14M

Latest sale

S$4.80M

Sep 2026

1-year change

Sales · 12m

3

8 all time

Gross yield

1.35%

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
-5.4%
Annualised
-3.6%
Transactions
8
1 year
3 years p.a.
5 years p.a.
Median size
2,560 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
MeasureFengli GardensD19 medianDifference
Median PSFS$1,704S$1,670+2.0%
Median priceS$6.14MS$1.78M+244.8%
Gross rental yield1.35%3.01%-1.7 pts
1-year price change-4.0%

This development trades broadly in line with the D19 median.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$6,800

Contracts · 12m

3

Implied annual rent

S$82K

Gross yield

1.35%

Unit typeContractsMedian rent
All units3S$6,800

Investment analysis

Investment score 40 / 100

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

40/100

82% 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.

  • Liquidityweight 15%78

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

  • Locationweight 15%60

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

  • Supply riskweight 10%46

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

  • Valuationweight 22%27

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

  • Rental yieldweight 20%7

    Gross yield against every other development in its segment.

  • Price momentumweight 18%not measurable

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

Not enough data to score 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

  • Bartley MRT550 m
  • Serangoon MRT700 m
  • Serangoon Interchange MRT770 m
  • Woodleigh MRT1.3 km

Schools within 2 km

  • St. Gabriel'S Secondary Schoolsecondary (s1-s5)360 m
  • Paya Lebar Methodist Girls' School (Primary)primary690 m
  • Maris Stella High Schoolmixed level (p1-s4)720 m
  • Paya Lebar Methodist Girls' School (Secondary)secondary (s1-s5)760 m
  • Bartley Secondary Schoolsecondary (s1-s5)1.0 km
  • Zhonghua Secondary Schoolsecondary (s1-s5)1.1 km

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

Supply

Upcoming competition

  • JANSEN HOUSEMequity GS Pte Ltd21 units1.4 km
  • Chuan ParkChuan Park Development Pte Ltd · TOP 2027916 units1.6 km
  • CHUAN PARKChuan Park Development Pte. Ltd.916 units1.6 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Sep 2026TerraceS$4,800,0002,482 sqftS$1,934-
Jul 2026Semi-detachedS$6,180,0003,631 sqftS$1,702-
Mar 2026Semi-detachedS$6,138,0003,602 sqftS$1,704-
Jul 2024Semi-detachedS$5,680,0003,567 sqftS$1,592-
Jul 2024TerraceS$3,688,0001,864 sqftS$1,978-
Apr 2024TerraceS$3,500,0002,014 sqftS$1,738-
Oct 2023TerraceS$3,800,0002,638 sqftS$1,440-
Dec 2021TerraceS$3,320,0001,728 sqftS$1,922-

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.