Camelia Park
TAMARIND ROAD · D28
Median PSF · 12m
S$1,363
Median price · 12m
S$5.82M
Latest sale
S$5.82M
Oct 2025
1-year change
—
Sales · 12m
1
3 all time
Gross yield
1.75%
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.
- Change over window
- +3.0%
- Annualised
- +4.0%
- Transactions
- 3
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 4,271 sqft
Against the neighbourhood
How it compares within D28
Seletar, Yio Chu Kang. All figures are medians over the last 12 months for private homes in this district.
| Measure | Camelia Park | D28 median | Difference |
|---|---|---|---|
| Median PSF | S$1,363 | S$1,535 | -11.2% |
| Median price | S$5.82M | S$1.43M | +308.4% |
| Gross rental yield | 1.75% | 3.34% | -1.6 pts |
| 1-year price change | — | +3.1% | — |
This development trades about 11% below the D28 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$8,300
Contracts · 12m
3
Implied annual rent
S$100K
Gross yield
1.75%
| Unit type | Contracts | Median rent |
|---|---|---|
| All units | 3 | S$8,300 |
Investment analysis
Investment score 44 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
44/100
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%79
How its median price per square foot compares with its own district.
- Supply riskweight 10%69
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.
- Rental yieldweight 20%16
Gross yield against every other development in its segment.
- Locationweight 15%1
Distance to the nearest rail station, plus schools within 1 km. Nearest is Fernvale LRT at 1.8 km.
- 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
- Fernvale LRT1.8 km
- Thanggam LRT1.9 km
- Yio Chu Kang MRT2.0 km
Schools within 2 km
- Fernvale Primary Schoolprimary1.5 km
- Sengkang Green Primary Schoolprimary1.7 km
- Anderson Secondary Schoolsecondary (s1-s5)1.9 km
- Pei Hwa Secondary Schoolsecondary (s1-s5)2.0 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
- Luxus HillsSingapore United Estates Pte Ltd161 units1.9 km
- Luxus HillsSingapore United Estates Pte Ltd159 units1.9 km
- Luxus HillsSingapore United Estates Pte Ltd156 units1.9 km
High upcoming supply nearby may increase competition for tenants and buyers.
The record
Transactions at this development
| Month | Type | Price | Size | PSF | Floor | Lease left |
|---|---|---|---|---|---|---|
| Oct 2025 | Semi-detached | S$5,820,000 | 4,271 sqft | S$1,363 | - | — |
| Jan 2024 | Semi-detached | S$5,300,000 | 4,672 sqft | S$1,135 | - | — |
| Jan 2022 | Semi-detached | S$5,650,000 | 4,271 sqft | S$1,323 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Serene Park
S$1,246
-8.3%1 sales2.2% yield
Landed Housing Development
S$1,114
—1 sales2.7% yield
Hock Swee Hill
S$1,799
+38.7%1 sales
Fanta Garden
S$1,556
+16.3%1 sales1.8% yield
Villa Begonia
S$1,467
+27.9%2 sales
Sunrise Gardens
S$1,100
+7.9%13 sales4.4% yield
Sunrise Villa
S$2,097
-1.3%7 sales1.7% yield
Tuan Sing Park
S$1,477
+7.7%6 sales1.9% 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.