Ponggol Park
PONGGOL SEVENTEENTH AVENUE · D19
Median PSF · 12m
S$1,217
Median price · 12m
S$6.34M
Latest sale
S$6.18M
Jul 2026
1-year change
+26.4%
Sales · 12m
2
7 all time
Gross yield
1.50%
6 leases
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
- -6.6%
- Annualised
- -4.4%
- Transactions
- 7
- 1 year
- +26.4%
- 3 years p.a.
- +0.0%
- 5 years p.a.
- —
- Median size
- 6,160 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 | Ponggol Park | D19 median | Difference |
|---|---|---|---|
| Median PSF | S$1,217 | S$1,626 | -25.2% |
| Median price | S$6.34M | S$1.58M | +301.3% |
| Gross rental yield | 1.50% | 3.42% | -1.9 pts |
| 1-year price change | +26.4% | +4.9% | +21.6 pts |
This development trades about 25% below the D19 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$7,700
Contracts · 12m
6
Implied annual rent
S$92K
Gross yield
1.50%
| Unit type | Contracts | Median rent |
|---|---|---|
| All units | 6 | S$7,700 |
Investment analysis
Investment score 53 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
53/100
100% 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.
- Valuationweight 22%95
How its median price per square foot compares with its own district.
- Locationweight 15%73
Distance to the nearest rail station, plus schools within 1 km. Nearest is Punggol Point LRT at 220 m.
- Liquidityweight 15%69
Transactions in the last 12 months — how easily it trades.
- Supply riskweight 10%46
Upcoming units recorded in the same district. Higher score means less competing supply.
- Price momentumweight 18%22
Three-year annualised change in median PSF, or one year where three is unavailable.
- Rental yieldweight 20%10
Gross yield against every other development in its segment.
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
- Punggol Point LRT220 m
- Samudera LRT330 m
- Teck Lee LRT360 m
- Ne18 MRT560 m
Schools within 2 km
- Northshore Primary Schoolprimary280 m
- Punggol Cove Primary Schoolprimary840 m
- Punggol View Primary Schoolprimary1.2 km
- Valour Primary Schoolprimary1.2 km
- Yusof Ishak Secondary Schoolsecondary (s1-s5)1.4 km
- Oasis Primary Schoolprimary1.4 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 |
|---|---|---|---|---|---|---|
| Jul 2026 | Detached | S$6,180,000 | 6,521 sqft | S$948 | - | — |
| Jun 2026 | Detached | S$6,500,000 | 4,372 sqft | S$1,487 | - | — |
| Mar 2025 | Detached | S$6,300,000 | 5,802 sqft | S$1,086 | - | — |
| Nov 2024 | Detached | S$6,000,000 | 6,232 sqft | S$963 | - | — |
| Oct 2024 | Detached | S$6,000,000 | 6,394 sqft | S$938 | - | — |
| Nov 2022 | Detached | S$6,100,000 | 5,012 sqft | S$1,217 | - | — |
| Jul 2022 | Detached | S$6,250,000 | 6,160 sqft | S$1,015 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
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.