Taman Industri Bkt Permai

Jln Bandar, Taman Melawati, 53100 Ampang, Selangor, Malaysia

Property Transactions

4 subsales grouped by size · Semi-D Factory →

Median
RM 5,462,500
PSF
RM 633
Price Size
Period
transactions middle 50% (P25–P75)
7,200 sqft
Semi-D Factory
RM 10,050,000
Jalan Bkt Permai Utama 3
7,200 sqft · RM 1,396 PSF
RM 4,000,000
Jalan Bkt Permai Utama 3
7,201 sqft · RM 555 PSF
7,850 sqft
Semi-D Factory
RM 4,800,000
Jalan Bkt Permai Utama 3
7,840 sqft · RM 612 PSF
9,400 sqft
Factory
RM 6,125,000
Jalan Bkt Permai Utama 3
9,378 sqft · RM 653 PSF
Legend Recent Highest Price Highest PSF

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Taman Industri Bkt Permai
© OpenStreetMap · CARTO

Jln Bandar, Taman Melawati, 53100 Ampang, Selangor, Malaysia

Maps

Taman Industri Bkt Permai in Hulu Langat, Selangor recorded 4 subsale transactions in 2023, with a median price of RM 5.46 million and a median price per square foot (PSF) of RM 633.

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 5.46 million, with most transactions falling within a stable range of RM 4.00 million to RM 7.79 million, and a typical market range of RM 4.38 million to RM 6.55 million.

Most transactions involved semi-detached factory/warehouse, with moderate diversity in property types available.

Price per square foot shows a median of RM 633, though individual units vary from RM 289 to RM 976 in the core range. The broader market spans RM 586.33 to RM 679.08, indicating diverse property characteristics. A wider spread (IQR: RM 92.75) and deviation (MAD: RM 343) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.