Pulau Indah Industrial Park

42000 Pulau Indah, Selangor, Malaysia

Property Transactions

6 subsales found

Median
RM1,898,000
PSF
RM264
Price Size
Period
transactions middle 50% (P25–P75)
RM2,000,000
Jalan Perigi Nanas 8/12
7,200 sqft RM278 PSF
RM500,000
Jalan Perigi Nenas 8/3
7,223 sqft RM69 PSF
RM1,950,000
Jalan Perigi Nenas 8/14
7,200 sqft RM271 PSF
RM1,625,000
Jalan Perigi Nenas 8/14 (Fasa 1B)
7,200 sqft RM226 PSF
RM1,898,000
Jalan Perigi Nanas 8/12
7,200 sqft RM264 PSF
RM1,898,000
Jalan Perigi Nenas 8/12
7,200 sqft RM264 PSF
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Market Snapshot

Commercial

RM1,898,000

RM264 psf

Median transaction price

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Pulau Indah Industrial Park, 42000 Pulau Indah, Selangor, Malaysia

Maps

Pulau Indah Industrial Park in Klang, Selangor recorded 6 subsale transactions between 2021 and 2026, sized between 7,175 and 7,224 sqft, with a median price of RM1.90 million and a median price per square foot (PSF) of RM264.

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 RM1.90 million, with most transactions falling within a stable range of RM1.37 million to RM2.00 million, and a typical market range of RM500K to RM2.00 million.

Most transactions involved terraced factory/warehouse, with high diversity across multiple property types.

Price per square foot shows a median of RM264, though individual units vary from RM191 to RM337 in the core range. The broader market spans RM212.61 to RM314.61, indicating diverse property characteristics. A wider spread (IQR: RM102.00) and deviation (MAD: RM73) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.