Taman Sinar Suria
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Helang Siput 1
|
RM 1,388,000
|
RM 573
|
2,422 sqft
|
|
|
|
Jalan Helang Siput 2
|
RM 1,300,000
|
RM 537
|
2,422 sqft
|
|
|
|
Jalan Helang Siput 2
|
RM 1,300,000
|
RM 537
|
2,422 sqft
|
|
|
Helang Siput 3
|
RM 1,340,000
|
RM 449
|
2,982 sqft
|
|
|
Jalan Helang Siput 3
|
RM 1,368,000
|
RM 438
|
3,122 sqft
|
|
|
Jalan Helang Siput 3
|
RM 2,000,000
|
RM 437
|
4,575 sqft
|
|
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Market Snapshot
ResidentialRM 1,354,000
RM 705 psfMedian transaction price
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsTaman Sinar Suria in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 1.35 million and a median price per square foot (PSF) of RM 537.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.35 million, with most transactions falling within a stable range of RM 1.31 million to RM 1.40 million, and a typical market range of RM 1.32 million to RM 1.39 million.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM 537, with most transactions between RM 519 and RM 555. The usual range is RM 520.65 to RM 552.90, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 32.25 and an average deviation (MAD) of RM 18 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.