Taman Perindustrian

1, Jalan Meranti Permai 6, Taman Meranti Permai, 47100 Puchong, Selangor, Malaysia

Property Transactions

5 subsales grouped by size · Semi-D Factory →

Median
RM 3,550,000
PSF
RM 207
Price Size
Period
transactions middle 50% (P25–P75)
15,950 sqft
Semi-D Factory
RM 3,450,000
Jalan Pss 2
15,941 sqft · RM 216 PSF
RM 3,550,000
Jalan Pss2
15,941 sqft · RM 223 PSF
RM 3,300,000
Jalan Pss2
15,941 sqft · RM 207 PSF
23,200 sqft
Semi-D Factory
RM 4,750,000
Jalan Pss 2
23,218 sqft · RM 205 PSF
34,300 sqft
Factory
RM 6,300,000
Jalan Pss 2
34,294 sqft · RM 184 PSF
Legend Recent Highest Price Highest PSF

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Taman Perindustrian Sungai Sedu
© OpenStreetMap · CARTO

Taman Perindustrian, 1, Jalan Meranti Permai 6, Taman Meranti Permai, 47100 Puchong, Selangor, Malaysia

Maps

Taman Perindustrian in Kuala Langat, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 3.55 million and a median price per square foot (PSF) of RM 207.

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 RM 3.55 million, with most transactions falling within a stable range of RM 3.30 million to RM 4.69 million, and a typical market range of RM 3.30 million to RM 4.20 million.

Most transactions involved semi-detached factory/warehouse, though some variety exists in the market.

For price per square foot, the median is RM 207, with most transactions between RM 194 and RM 220. The usual range is RM 201.51 to RM 212.51, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 11.00 and an average deviation (MAD) of RM 13 indicate a highly stable PSF trend across properties.

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.