Phillips Residence
PHILLIPS AVENUE · D19
Median PSF · 12m
—
Median price · 12m
—
Latest sale
S$3.30M
Jan 2025
1-year change
—
Sales · 12m
0
1 all time
Gross yield
2.73%
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
- 4,628 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 | Phillips Residence | D19 median | Difference |
|---|---|---|---|
| Median PSF | — | S$1,626 | — |
| Median price | — | S$1.57M | — |
| Gross rental yield | 2.73% | 3.44% | -0.7 pts |
| 1-year price change | — | +4.8% | — |
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 27 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
27/100
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%46
Upcoming units recorded in the same district. Higher score means less competing supply.
- Rental yieldweight 20%38
Gross yield against every other development in its segment.
- Locationweight 15%27
Distance to the nearest rail station, plus schools within 1 km. Nearest is Serangoon North MRT at 840 m.
- 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
- Serangoon North MRT840 m
- Kovan MRT1.0 km
- Serangoon MRT1.5 km
- Serangoon Interchange MRT1.5 km
Schools within 2 km
- Bowen Secondary Schoolsecondary (s1-s5)750 m
- Zhonghua Primary Schoolprimary900 m
- Peicai Secondary Schoolsecondary (s1-s5)910 m
- Rosyth Schoolprimary1.1 km
- Serangoon Garden Secondary Schoolsecondary (s1-s5)1.1 km
- Xinmin Primary Schoolprimary1.1 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
- JANSEN HOUSEMequity GS Pte Ltd21 units420 m
- Chuan ParkChuan Park Development Pte Ltd · TOP 2027916 units1.8 km
- CHUAN PARKChuan Park Development Pte. Ltd.916 units1.8 km
- Luxus HillsSingapore United Estates Pte Ltd161 units1.9 km
- Luxus HillsSingapore United Estates Pte Ltd159 units1.9 km
- Luxus HillsSingapore United Estates Pte Ltd156 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 |
|---|---|---|---|---|---|---|
| Jan 2025 | Strata Semi-detached | S$3,300,000 | 4,628 sqft | S$713 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Landed Housing Development
S$1,878
+1.4%9 sales1.4% yield
Rosyth Residence
S$1,268
-9.9%1 sales3.3% yield
Rosyth Ville
S$1,287
-5.2%2 sales3.2% yield
Gillenia
S$1,394
—1 sales3.0% yield
Landed Housing Development
S$2,333
+49.2%9 sales1.1% yield
One Rosyth
S$1,421
-12.4%1 sales3.5% yield
3@Sandilands
S$1,308
-0.6%4 sales3.5% yield
Landed Housing Development
S$1,467
—4 sales1.3% 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.