Perindustrian Maju Jaya (Puchong)

21, Jalan Utama 1/13, Taman Lucky, 47100 Puchong, Selangor, Malaysia

Property Transactions

5 subsales grouped by size · Terrace Factory →

Median
RM 880,000
PSF
RM 680
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace Factory
RM 800,000
Jalan Utama 2/16
1,195 sqft · RM 670 PSF
RM 830,000
Jalan Utama 2/18
1,195 sqft · RM 695 PSF
RM 880,000
Jalan Utama 2/22
1,195 sqft · RM 737 PSF
2,250 sqft
Terrace Factory
RM 1,330,000
Jalan Utama 2/30
2,250 sqft · RM 591 PSF
RM 1,530,000
Jalan Utama 2/32
2,250 sqft · RM 680 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 880,000

RM 680 psf

Median transaction price

Perindustrian Maju Jaya (Puchong)
© OpenStreetMap · CARTO

21, Jalan Utama 1/13, Taman Lucky, 47100 Puchong, Selangor, Malaysia

Maps

Perindustrian Maju Jaya (Puchong) in Petaling, Selangor recorded 5 subsale transactions in 2025, with a median price of RM 880K and a median price per square foot (PSF) of RM 680.

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 880K, with most transactions falling within a stable range of RM 800K to RM 1.18 million, and a typical market range of RM 800K to RM 1.18 million.

Most transactions involved terraced factory/warehouse, with minimal variety in property types.

For price per square foot, the median is RM 680, with most transactions between RM 633 and RM 728. The usual range is RM 606.23 to RM 753.98, showing that most units are priced quite close to each other. With an IQR of RM 147.75 and MAD of RM 48, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.