Pusat Teknologi Sinar Puchong
Puchong Perdana, 47100 Puchong, Selangor, Malaysia
Puchong Perdana, 47100 Puchong, Selangor, Malaysia
| LIST.MY · Pusat Teknologi Sinar Puchong | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Ppu 3A
|
RM6,850,000
|
RM812
|
8,436 sqft
|
|
Semi-D Factory |
|
Jalan Ppu 3A
|
RM14,500,000
|
RM436
|
33,251 sqft
|
|
Factory |
Selling in Pusat Teknologi Sinar Puchong? Homes here sold for a median of RM10,675,000.
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Pusat Teknologi Sinar Puchong
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekan Puchong Perdana
Puchong Perdana, 47100 Puchong, Selangor, Malaysia
MapsPusat Teknologi Sinar Puchong in Petaling, Selangor recorded 2 subsale transactions in 2023, with a median price of RM10.68 million and a median price per square foot (PSF) of RM624.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM10.68 million, with most transactions falling within a stable range of RM6.85 million to RM14.50 million, and a typical market range of RM8.76 million to RM12.59 million.
Most transactions involved semi-detached factory/warehouse, though some variety exists in the market.
Price per square foot shows a median of RM624, though individual units vary from RM436 to RM812 in the core range. The broader market spans RM530.01 to RM718.01, indicating diverse property characteristics. A wider spread (IQR: RM188.00) and deviation (MAD: RM188) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.