Da Silva Villas
DA SILVA LANE · D19
Median PSF · 12m
S$2,340
Median price · 12m
S$5.11M
Latest sale
S$4.56M
Sep 2026
1-year change
—
Sales · 12m
2
2 all time
Gross yield
2.82%
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
- +26.1%
- Annualised
- +59.0%
- Transactions
- 2
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 2,238 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 | Da Silva Villas | D19 median | Difference |
|---|---|---|---|
| Median PSF | S$2,340 | S$1,670 | +40.1% |
| Median price | S$5.11M | S$1.78M | +186.8% |
| Gross rental yield | 2.82% | 3.01% | -0.2 pts |
| 1-year price change | — | -4.0% | — |
This development trades about 40% above 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 41 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
41/100
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%69
Transactions in the last 12 months — how easily it trades.
- Locationweight 15%62
Distance to the nearest rail station, plus schools within 1 km. Nearest is Kovan MRT at 490 m.
- Supply riskweight 10%46
Upcoming units recorded in the same district. Higher score means less competing supply.
- Rental yieldweight 20%41
Gross yield against every other development in its segment.
- Valuationweight 22%4
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 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
- Kovan MRT490 m
- Hougang Interchange MRT1.2 km
- Serangoon North MRT1.3 km
- Hougang MRT1.3 km
Schools within 2 km
- Anderson Serangoon Junior Collegejunior college430 m
- Xinmin Primary Schoolprimary810 m
- Bowen Secondary Schoolsecondary (s1-s5)930 m
- Xinmin Secondary Schoolsecondary (s1-s5)940 m
- Xinghua Primary Schoolprimary1.1 km
- Yuying 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 units880 m
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 |
|---|---|---|---|---|---|---|
| Sep 2026 | Terrace | S$4,560,000 | 1,747 sqft | S$2,610 | - | — |
| Oct 2025 | Terrace | S$5,650,000 | 2,730 sqft | S$2,070 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Landed Housing Development
S$1,727
-0.0%6 sales1.3% yield
The Top Residence
S$1,191
—2 sales2.3% yield
Bliss@Kovan
S$1,659
-4.0%7 sales4.1% yield
Landed Housing Development
S$1,761
—3 sales2.2% yield
Jade Vine Gardens
S$2,175
+5.7%1 sales1.7% yield
Landed Housing Development
S$1,588
+41.6%2 sales0.8% yield
Infinium
S$818
-0.2%1 sales2.9% yield
Rich.Residence
S$897
+1.5%1 sales3.3% 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.