| LIST.MY · Shah Alam Technology Park | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan 33/23
|
RM3,480,000
|
RM428
|
8,138 sqft
|
|
Semi-D Factory |
|
Jalan 33/23
|
RM3,200,000
|
RM393
|
8,138 sqft
|
|
Semi-D Factory |
| 2022 | |||||
|
Jalan Tamborin 33/23
|
RM2,900,000
|
RM356
|
8,138 sqft
|
|
Semi-D Factory |
|
Jalan Tamborin 33/23
|
RM3,000,000
|
RM369
|
8,138 sqft
|
|
Semi-D Factory |
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Shah Alam Technology Park
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 Kelang
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Market Snapshot
CommercialRM3,100,000
RM381 psfMedian transaction price
Shah Alam Technology Park, 40400 Shah Alam, Selangor, Malaysia
MapsShah Alam Technology Park in Klang, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 8,125 and 8,174 sqft, with a median price of RM3.10 million and a median price per square foot (PSF) of RM381.
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 RM3.10 million, with most transactions falling within a stable range of RM2.90 million to RM3.32 million, and a typical market range of RM2.90 million to RM3.48 million.
Most transactions involved terraced factory/warehouse, though some variety exists in the market.
For price per square foot, the median is RM381, with most transactions between RM354 and RM408. The usual range is RM308.83 to RM453.08, showing that most units are priced quite close to each other. With an IQR of RM144.25 and MAD of RM27, the PSF demonstrates reasonable consistency across the market.
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.