Landed Housing Development
JALAN MARIAM · D17
Median PSF · 12m
S$2,081
Median price · 12m
S$4.78M
Latest sale
S$4.50M
Nov 2025
1-year change
—
Sales · 12m
2
2 all time
Gross yield
—
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
- 2,293 sqft
Against the neighbourhood
How it compares within D17
Loyang, Changi, Flora Drive. All figures are medians over the last 12 months for private homes in this district.
| Measure | Landed Housing Development | D17 median | Difference |
|---|---|---|---|
| Median PSF | S$2,081 | S$1,793 | +16.1% |
| Median price | S$4.78M | S$1.72M | +177.9% |
| Gross rental yield | — | 3.07% | — |
| 1-year price change | — | +43.1% | — |
This development trades about 16% above the D17 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 33 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
33/100
62% 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%69
Transactions in the last 12 months — how easily it trades.
- Supply riskweight 10%58
Upcoming units recorded in the same district. Higher score means less competing supply.
- Valuationweight 22%14
How its median price per square foot compares with its own district.
- Locationweight 15%6
Distance to the nearest rail station, plus schools within 1 km. Nearest is Loyang MRT at 1.0 km.
- Rental yieldweight 20%not measurable
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 rental yield, 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
- Loyang MRT1.0 km
- Pasir Ris East MRT1.1 km
- Tampines East MRT1.7 km
Schools within 2 km
- White Sands Primary Schoolprimary1.0 km
- East Spring Secondary Schoolsecondary (s1-s5)1.2 km
- Pasir Ris Primary Schoolprimary1.3 km
- East Spring Primary Schoolprimary1.4 km
- Loyang View Secondary Schoolsecondary (s1-s5)1.5 km
- Dunman Secondary Schoolsecondary (s1-s5)1.5 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
| Month | Type | Price | Size | PSF | Floor | Lease left |
|---|---|---|---|---|---|---|
| Nov 2025 | Semi-detached | S$5,050,000 | 2,393 sqft | S$2,110 | - | — |
| Nov 2025 | Semi-detached | S$4,500,000 | 2,193 sqft | S$2,052 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Changi Grove
S$1,098
+3.8%3 sales2.2% yield
Springbrook Terrace
S$2,424
—2 sales
Landed Housing Development
S$2,122
—2 sales1.3% yield
Landed Housing Development
S$1,628
+53.1%1 sales
Bukit Loyang Estate
S$1,642
—3 sales1.1% yield
Liria Terrace
S$1,966
-11.4%2 sales1.6% yield
Changi Heights
S$2,123
+3.5%5 sales2.0% yield
Ballota Park Condominium
S$1,161
+8.7%8 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.