Landed Housing Development
JALAN PARI DEDAP · D16
Median PSF · 12m
—
Median price · 12m
—
Latest sale
S$4.41M
Nov 2024
1-year change
—
Sales · 12m
0
1 all time
Gross yield
2.75%
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.
Not enough transactions to chart a price history.
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 3,652 sqft
Against the neighbourhood
How it compares within D16
Bedok, Upper East Coast, Eastwood, Kew Drive. All figures are medians over the last 12 months for private homes in this district.
| Measure | Landed Housing Development | D16 median | Difference |
|---|---|---|---|
| Median PSF | — | S$1,517 | — |
| Median price | — | S$1.61M | — |
| Gross rental yield | 2.75% | 4.09% | -1.3 pts |
| 1-year price change | — | -1.3% | — |
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$11,200
Contracts · 12m
1
Implied annual rent
S$134K
Gross yield
2.75%
| Unit type | Contracts | Median rent |
|---|---|---|
| All units | 1 | S$11,200 |
Investment analysis
Investment score 36 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
36/100
60% 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.
- Supply riskweight 10%62
Upcoming units recorded in the same district. Higher score means less competing supply.
- Locationweight 15%52
Distance to the nearest rail station, plus schools within 1 km. Nearest is Tanah Merah MRT at 680 m.
- Rental yieldweight 20%39
Gross yield against every other development in its segment.
- Liquidityweight 15%0
Transactions in the last 12 months — how easily it trades.
- Valuationweight 22%not measurable
How its median price per square foot compares with its own district.
- Price momentumweight 18%not measurable
Three-year annualised change in median PSF, or one year where three is unavailable.
Not enough data to score valuation, 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
- Tanah Merah MRT680 m
- Tanah Merah Interchange MRT710 m
- Bedok Reservoir MRT1.2 km
- Tampines West MRT1.5 km
Schools within 2 km
- St. Anthony'S Canossian Secondary Schoolsecondary (s1-s5)270 m
- Anglican High Schoolsecondary (s1-s4)290 m
- St. Anthony'S Canossian Primary Schoolprimary320 m
- Bedok Green Secondary Schoolsecondary (s1-s5)910 m
- Bedok View Secondary Schoolsecondary (s1-s5)920 m
- Red Swastika Schoolprimary1.0 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
- SCENECA RESIDENCEMCC Land (TMK) Pte Ltd268 units580 m
- BAGNALL HAUSRL Bagnall Pte Ltd113 units1.9 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 |
|---|---|---|---|---|---|---|
| Nov 2024 | Semi-detached | S$4,408,000 | 3,652 sqft | S$1,207 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Peakview Estate
S$2,866
+57.8%2 sales1.6% yield
Landed Housing Development
S$1,479
—1 sales
Tanamera Crest
S$1,166
+0.4%7 sales6.0% yield
Peakville Park
S$2,441
+13.5%4 sales
Landed Housing Development
S$1,896
-15.9%5 sales1.4% yield
Canary Park
S$2,261
+12.4%1 sales1.6% yield
Picardy Gardens
S$1,421
-19.5%2 sales2.0% yield
Optima @ Tanah Merah
S$1,583
+7.2%9 sales4.2% 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.