Sungai Tua Industrial Park
Jln Sungai Tua, 68100 Batu Caves, Selangor, Malaysia
Jln Sungai Tua, 68100 Batu Caves, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Ist 1
|
RM3,534,000
|
RM793
|
4,456 sqft
|
|
|
|
Jalan Ist 1
|
RM3,534,000
|
RM793
|
4,456 sqft
|
|
|
Jalan Sungai Tua
|
RM4,247,000
|
RM794
|
5,350 sqft
|
|
|
Jalan Ist 1
|
RM4,901,000
|
RM759
|
6,458 sqft
|
|
|
Jalan Ist 1
|
RM6,170,000
|
RM759
|
8,127 sqft
|
|
Selling in Sungai Tua Industrial Park? Homes here sold for a median of RM4,247,000.
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Sungai Tua Industrial 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 Bandar Selayang
Market Snapshot
CommercialRM4,247,000
RM793 psfMedian transaction price
Jln Sungai Tua, 68100 Batu Caves, Selangor, Malaysia
MapsSungai Tua Industrial Park in Gombak, Selangor recorded 5 subsale transactions in 2025, with a median price of RM4.25 million and a median price per square foot (PSF) of RM793.
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 RM4.25 million, with most transactions falling within a stable range of RM3.53 million to RM5.23 million, and a typical market range of RM3.89 million to RM4.60 million.
Most transactions involved terraced factory/warehouse, with minimal variety in property types.
For price per square foot, the median is RM793, with most transactions between RM776 and RM810. The usual range is RM779.00 to RM807.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM28.00 and an average deviation (MAD) of RM17 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.