Greenwood Villas
GREENWOOD WALK · D11
Median PSF · 12m
S$3,193
Median price · 12m
S$7.10M
Latest sale
S$7.10M
Dec 2025
1-year change
—
Sales · 12m
1
3 all time
Gross yield
1.61%
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
- +41.2%
- Annualised
- +58.4%
- Transactions
- 3
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 2,224 sqft
Against the neighbourhood
How it compares within D11
Watten Estate, Novena, Thomson. All figures are medians over the last 12 months for private homes in this district.
| Measure | Greenwood Villas | D11 median | Difference |
|---|---|---|---|
| Median PSF | S$3,193 | S$2,049 | +55.9% |
| Median price | S$7.10M | S$2.40M | +195.8% |
| Gross rental yield | 1.61% | 3.83% | -2.2 pts |
| 1-year price change | — | +0.9% | — |
This development trades about 56% above the D11 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 33 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
33/100
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.
- Supply riskweight 10%77
Upcoming units recorded in the same district. Higher score means less competing supply.
- Liquidityweight 15%56
Transactions in the last 12 months — how easily it trades.
- Locationweight 15%27
Distance to the nearest rail station, plus schools within 1 km. Nearest is Tan Kah Kee MRT at 930 m.
- Valuationweight 22%18
How its median price per square foot compares with its own district.
- Rental yieldweight 20%12
Gross yield against every other development in its segment.
- 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
- Tan Kah Kee MRT930 m
- Sixth Avenue MRT1.0 km
- Botanic Gardens MRT1.7 km
- Botanic Gardens Interchange MRT1.7 km
Schools within 2 km
- National Junior Collegemixed level (s1-jc2)410 m
- Nanyang Girls' High Schoolsecondary (s1-s4)490 m
- Raffles Girls' Primary Schoolprimary490 m
- Hwa Chong Institutionmixed level (s1-jc2)900 m
- Nanyang Primary Schoolprimary1.5 km
- St. Margaret'S School (Secondary)secondary (s1-s5)1.6 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$7,100,000 | 2,224 sqft | S$3,193 | - | — |
| Jun 2022 | Terrace | S$6,128,000 | 2,224 sqft | S$2,756 | - | — |
| Dec 2021 | Terrace | S$6,500,000 | 2,875 sqft | S$2,261 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Landed Housing Development
S$3,105
—1 sales
Landed Housing Development
S$3,945
—1 sales1.2% yield
The Greenwood
S$3,718
+4.4%6 sales1.8% yield
Landed Housing Development
S$3,591
—1 sales
Hillcrest Park
S$2,781
+57.2%3 sales1.8% yield
Raffles Park
S$2,215
—4 sales
Hillcrest Villa
S$1,373
+3.7%5 sales3.0% yield
Landed Housing Development
S$3,148
—15 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.