Hua Guan Gardens
HUA GUAN AVENUE · D21
Median PSF · 12m
S$3,435
Median price · 12m
S$6.08M
Latest sale
S$6.80M
Jun 2026
1-year change
—
Sales · 12m
2
4 all time
Gross yield
1.34%
1 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
- +52.5%
- Annualised
- +52.5%
- Transactions
- 4
- 1 year
- —
- 3 years p.a.
- +8.4%
- 5 years p.a.
- —
- Median size
- 1,780 sqft
Against the neighbourhood
How it compares within D21
Upper Bukit Timah, Clementi Park, Ulu Pandan. All figures are medians over the last 12 months for private homes in this district.
| Measure | Hua Guan Gardens | D21 median | Difference |
|---|---|---|---|
| Median PSF | S$3,435 | S$1,833 | +87.4% |
| Median price | S$6.08M | S$1.99M | +204.6% |
| Gross rental yield | 1.34% | 3.74% | -2.4 pts |
| 1-year price change | — | +8.7% | — |
This development trades about 87% above the D21 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$8,600
Contracts · 12m
1
Implied annual rent
S$103K
Gross yield
1.34%
| Unit type | Contracts | Median rent |
|---|---|---|
| All units | 1 | S$8,600 |
Investment analysis
Investment score 38 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
38/100
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.
- Price momentumweight 18%87
Three-year annualised change in median PSF, or one year where three is unavailable.
- Liquidityweight 15%69
Transactions in the last 12 months — how easily it trades.
- Locationweight 15%53
Distance to the nearest rail station, plus schools within 1 km. Nearest is King Albert Park MRT at 420 m.
- Supply riskweight 10%23
Upcoming units recorded in the same district. Higher score means less competing supply.
- Rental yieldweight 20%7
Gross yield against every other development in its segment.
- Valuationweight 22%1
How its median price per square foot compares with its own district.
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
- King Albert Park MRT420 m
- Beauty World MRT1.1 km
- Sixth Avenue MRT1.6 km
Schools within 2 km
- Methodist Girls' School (Secondary)secondary (s1-s4)730 m
- Pei Hwa Presbyterian Primary Schoolprimary1.0 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 |
|---|---|---|---|---|---|---|
| Jun 2026 | Terrace | S$6,800,000 | 1,725 sqft | S$3,941 | - | — |
| Oct 2025 | Terrace | S$5,350,000 | 1,827 sqft | S$2,929 | - | — |
| May 2023 | Semi-detached | S$13,800,000 | 5,111 sqft | S$2,700 | - | — |
| Jan 2022 | Terrace | S$4,480,000 | 1,734 sqft | S$2,584 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Hong Kong Park
S$2,348
+4.1%4 sales1.8% yield
Landed Housing Development
S$2,186
—2 sales1.6% yield
Landed Housing Development
S$2,185
—2 sales2.1% yield
Hock Seng Park
S$2,693
+42.1%2 sales1.4% yield
Binjai Park
S$1,780
—1 sales6.9% yield
Binjai Crest
S$978
+21.9%2 sales3.3% yield
Landed Housing Development
S$1,972
—1 sales1.0% yield
Mayfair Park
S$382
+14.6%5 sales6.8% 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.