Charming Garden
KING'S ROAD · D10
Median PSF · 12m
S$1,880
Median price · 12m
S$3.40M
Latest sale
S$3.40M
Dec 2025
1-year change
—
Sales · 12m
1
1 all time
Gross yield
1.69%
3 leases
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
- 1,808 sqft
Against the neighbourhood
How it compares within D10
Ardmore, Bukit Timah, Holland Road, Tanglin. All figures are medians over the last 12 months for private homes in this district.
| Measure | Charming Garden | D10 median | Difference |
|---|---|---|---|
| Median PSF | S$1,880 | S$2,225 | -15.5% |
| Median price | S$3.40M | S$3.16M | +7.5% |
| Gross rental yield | 1.69% | 4.12% | -2.4 pts |
| 1-year price change | — | +0.6% | — |
This development trades about 15% below the D10 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$4,800
Contracts · 12m
3
Implied annual rent
S$58K
Gross yield
1.69%
| Unit type | Contracts | Median rent |
|---|---|---|
| 3 bedroom | 3 | S$4,800 |
Investment analysis
Investment score 52 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
52/100
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.
- Valuationweight 22%74
How its median price per square foot compares with its own district.
- Locationweight 15%72
Distance to the nearest rail station, plus schools within 1 km. Nearest is Farrer Road MRT at 320 m.
- Liquidityweight 15%56
Transactions in the last 12 months — how easily it trades.
- Supply riskweight 10%42
Upcoming units recorded in the same district. Higher score means less competing supply.
- Rental yieldweight 20%15
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
- Farrer Road MRT320 m
- Tan Kah Kee MRT590 m
- Botanic Gardens Interchange MRT870 m
- Botanic Gardens MRT930 m
Schools within 2 km
- Nanyang Primary Schoolprimary60 m
- St. Margaret'S School (Secondary)secondary (s1-s5)290 m
- Hwa Chong Institutionmixed level (s1-jc2)610 m
- Raffles Girls' Primary Schoolprimary1.0 km
- National Junior Collegemixed level (s1-jc2)1.2 km
- Nanyang Girls' High Schoolsecondary (s1-s4)1.3 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 | Condominium | S$3,400,000 | 1,808 sqft | S$1,880 | 01-05 | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Landed Housing Development
S$3,295
+52.7%4 sales1.8% yield
Kings Ville
S$1,775
+1.5%2 sales3.4% yield
The Asana
S$2,154
-13.5%1 sales3.3% yield
Landed Housing Development
S$2,039
—2 sales
Landed Housing Development
S$2,559
—4 sales1.5% yield
Coronation Grove
S$1,922
+10.5%1 sales2.4% yield
Coronation Village
S$3,114
+19.5%1 sales1.9% yield
Wilshire Residences
S$2,737
—1 sales2.5% 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.