Perindustrian Maju Jaya (Puchong)

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

Property Transactions

4 subsales grouped by size · Terrace Factory →

Median
RM 1,025,000
PSF
RM 544
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace Factory
RM 650,000
Jalan Utama 2/12
1,195 sqft · RM 544 PSF
RM 650,000
Jalan Utama 2/13
1,195 sqft · RM 544 PSF
2,250 sqft
Terrace Factory
RM 1,400,000
Jalan Utama 2/36
2,250 sqft · RM 622 PSF
3,600 sqft
Terrace Factory
RM 1,780,000
Jalan Utama 2/24
3,595 sqft · RM 495 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 1,025,000

RM 544 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 4 subsale transactions in 2021, with a median price of RM 1.03 million and a median price per square foot (PSF) of RM 544.

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 1.03 million, with most transactions falling within a stable range of RM 650K to RM 1.51 million, and a typical market range of RM 730K to RM 1.32 million.

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

For price per square foot, the median is RM 544, with most transactions between RM 498 and RM 590. The usual range is RM 470.16 to RM 617.91, showing that most units are priced quite close to each other. With an IQR of RM 147.75 and MAD of RM 46, 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.