Landed Housing Development
LORONG SIGLAP · D15
Median PSF · 12m
—
Median price · 12m
—
Latest sale
S$6.39M
May 2025
1-year change
—
Sales · 12m
0
3 all time
Gross yield
1.27%
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.
- Change over window
- +18.2%
- Annualised
- +25.0%
- Transactions
- 3
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 2,760 sqft
Against the neighbourhood
How it compares within D15
Katong, Joo Chiat, Amber Road, Marine Parade. All figures are medians over the last 12 months for private homes in this district.
| Measure | Landed Housing Development | D15 median | Difference |
|---|---|---|---|
| Median PSF | — | S$1,833 | — |
| Median price | — | S$2.14M | — |
| Gross rental yield | 1.27% | 4.13% | -2.9 pts |
| 1-year price change | — | +2.3% | — |
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 9 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
9/100
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.
- Locationweight 15%21
Distance to the nearest rail station, plus schools within 1 km. Nearest is Siglap MRT at 1.0 km.
- Supply riskweight 10%8
Upcoming units recorded in the same district. Higher score means less competing supply.
- Rental yieldweight 20%6
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
- Siglap MRT1.0 km
- Bedok MRT1.2 km
- Kembangan MRT1.3 km
- Marine Terrace MRT1.3 km
Schools within 2 km
- Opera Estate Primary Schoolprimary440 m
- St. Stephen'S Schoolprimary770 m
- Victoria Schoolsecondary (s1-s4)910 m
- Victoria Junior Collegejunior college1.0 km
- St. Patrick'S Schoolsecondary (s1-s5)1.1 km
- Chij Katong Conventsecondary (s1-s5)1.2 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
- K SUITESEG Properties Pte Ltd19 units1.7 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 |
|---|---|---|---|---|---|---|
| May 2025 | Semi-detached | S$6,388,000 | 2,954 sqft | S$2,163 | - | — |
| Apr 2022 | Semi-detached | S$3,800,000 | 2,566 sqft | S$1,481 | - | — |
| Sep 2021 | Semi-detached | S$3,600,000 | 1,968 sqft | S$1,830 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
South Union Park
S$2,592
+16.0%1 sales1.9% yield
Landed Housing Development
S$3,110
-11.1%2 sales
Landed Housing Development
S$2,081
+22.1%9 sales1.9% yield
East Coast Park
S$1,794
-5.0%1 sales1.6% yield
Siglap V
S$1,650
+9.3%5 sales4.4% yield
Landed Housing Development
S$2,841
+1.6%2 sales1.4% yield
Landed Housing Development
S$2,824
—3 sales1.2% yield
Park East
S$1,752
+0.4%5 sales3.6% 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.