Gpl Terrace
KWONG AVENUE · D13
Median PSF · 12m
S$2,387
Median price · 12m
S$4.70M
Latest sale
S$4.70M
Dec 2025
1-year change
+12.2%
Sales · 12m
1
4 all time
Gross yield
1.43%
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
- +12.2%
- Annualised
- +25.9%
- Transactions
- 4
- 1 year
- +12.2%
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 2,164 sqft
Against the neighbourhood
How it compares within D13
Macpherson, Braddell, Potong Pasir. All figures are medians over the last 12 months for private homes in this district.
| Measure | Gpl Terrace | D13 median | Difference |
|---|---|---|---|
| Median PSF | S$2,387 | S$2,005 | +19.1% |
| Median price | S$4.70M | S$1.58M | +197.9% |
| Gross rental yield | 1.43% | 3.67% | -2.2 pts |
| 1-year price change | +12.2% | +4.0% | +8.2 pts |
This development trades about 19% above the D13 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 55 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
55/100
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.
- Supply riskweight 10%100
Upcoming units recorded in the same district. Higher score means less competing supply.
- Price momentumweight 18%93
Three-year annualised change in median PSF, or one year where three is unavailable.
- Locationweight 15%86
Distance to the nearest rail station, plus schools within 1 km. Nearest is Potong Pasir MRT at 250 m.
- Liquidityweight 15%56
Transactions in the last 12 months — how easily it trades.
- Valuationweight 22%25
How its median price per square foot compares with its own district.
- Rental yieldweight 20%9
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
- Potong Pasir MRT250 m
- Woodleigh MRT910 m
- Geylang Bahru MRT1.1 km
- Mattar MRT1.4 km
Schools within 2 km
- Cedar Girls' Secondary Schoolsecondary (s1-s4)450 m
- St Andrew'S School (Secondary)secondary (s1-s5)540 m
- St Andrew'S School (Junior)primary670 m
- Cedar Primary Schoolprimary730 m
- St Andrew'S Junior Collegejunior college870 m
- Bendemeer Primary Schoolprimary1.2 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 |
|---|---|---|---|---|---|---|
| Dec 2025 | Terrace | S$4,700,000 | 1,969 sqft | S$2,387 | - | — |
| Feb 2025 | Terrace | S$5,200,000 | 2,615 sqft | S$1,989 | - | — |
| Feb 2025 | Terrace | S$5,020,000 | 2,156 sqft | S$2,328 | - | — |
| Jan 2025 | Terrace | S$4,620,000 | 2,171 sqft | S$2,128 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Nin Residence
S$1,747
+6.2%13 sales4.4% yield
Sennett Residence
S$1,848
-3.5%5 sales3.9% yield
Sant Ritz
S$1,848
+2.6%7 sales3.6% yield
The Venue Residences
S$1,979
+4.9%17 sales3.9% yield
Woodsville 28
S$1,774
+1.9%3 sales4.2% yield
18 Woodsville
S$1,791
-0.4%4 sales4.0% yield
Myra
S$2,425
-0.2%3 sales3.1% yield
Meya Lodge
S$1,710
—1 sales2.6% 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.