Landed Housing Development
LORONG PENCHALAK · D19
Median PSF · 12m
S$1,393
Median price · 12m
S$5.50M
Latest sale
S$5.50M
Oct 2025
1-year change
—
Sales · 12m
1
1 all time
Gross yield
1.77%
no rental data
Price history
How this development has traded
Median transacted price and price per square foot by quarter, from every sale on record here.
Not enough transactions to chart a price history.
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 3,948 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.
| Measure | Landed Housing Development | D19 median | Difference |
|---|---|---|---|
| Median PSF | S$1,393 | S$1,626 | -14.3% |
| Median price | S$5.50M | S$1.58M | +248.1% |
| Gross rental yield | 1.77% | 3.42% | -1.7 pts |
| 1-year price change | — | +4.9% | — |
This development trades about 14% below the D19 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
No rental contracts have been recorded here in the last 12 months, so a yield cannot be measured for this development.
Investment analysis
Investment score 55 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
55/100
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.
- Valuationweight 22%90
How its median price per square foot compares with its own district.
- Locationweight 15%58
Distance to the nearest rail station, plus schools within 1 km. Nearest is Bartley MRT at 530 m.
- 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.
- Rental yieldweight 20%16
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 MRT530 m
- Serangoon MRT550 m
- Serangoon Interchange MRT610 m
- Woodleigh MRT1.0 km
Schools within 2 km
- St. Gabriel'S Secondary Schoolsecondary (s1-s5)30 m
- Maris Stella High Schoolmixed level (p1-s4)570 m
- Zhonghua Secondary Schoolsecondary (s1-s5)800 m
- Yangzheng Primary Schoolprimary900 m
- Bartley Secondary Schoolsecondary (s1-s5)1.0 km
- Paya Lebar Methodist Girls' School (Primary)primary1.0 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
- Chuan ParkChuan Park Development Pte Ltd · TOP 2027916 units1.4 km
- CHUAN PARKChuan Park Development Pte. Ltd.916 units1.4 km
- JANSEN HOUSEMequity GS Pte Ltd21 units1.5 km
High upcoming supply nearby may increase competition for tenants and buyers.
The record
Transactions at this development
| Month | Type | Price | Size | PSF | Floor | Lease left |
|---|---|---|---|---|---|---|
| Oct 2025 | Terrace | S$5,500,000 | 3,948 sqft | S$1,393 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Rindu Terrace
S$1,503
—1 sales
Landed Housing Development
S$1,676
—6 sales
Ardisia Gardens
S$1,771
-4.9%2 sales4.5% yield
Landed Housing Development
S$2,333
+8.6%2 sales1.7% yield
Bartley Villas
S$1,370
—3 sales2.8% yield
Gambir Ridge
S$1,672
+8.0%5 sales3.8% yield
Sunshine Grove
S$1,337
—1 sales4.0% yield
Casa Rosa
S$1,353
+12.8%2 sales3.8% yield
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.