Perindustrian Pdc

1, Jalan Sultan Azlan Shah, Kawasan Perindustrian Bayan Lepas, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM11,650,000
PSF
RM338
Price Size
Period
transactions middle 50% (P25–P75)
11,100 sqft
Semi-D Factory
RM4,300,000
Lintang Kampung Jawa
11,097 sqft · RM388 PSF
66,050 sqft
Factory
RM19,000,000
Fasa 4
66,069 sqft · RM288 PSF
Legend Recent Highest Price Highest PSF

Posts about Perindustrian Pdc

What’s happening in Perindustrian Pdc?

No posts about Perindustrian Pdc yet. Be the first to share what’s happening here.

Market Snapshot

Commercial

RM11,650,000

RM338 psf

Median transaction price

Perindustrian Pdc
© OpenStreetMap · CARTO

1, Jalan Sultan Azlan Shah, Kawasan Perindustrian Bayan Lepas, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Perindustrian Pdc in Barat Daya, Penang recorded 2 subsale transactions between 2021 and 2026, with a median price of RM11.65 million and a median price per square foot (PSF) of RM338.

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 RM11.65 million, with most transactions falling within a stable range of RM4.30 million to RM19.00 million, and a typical market range of RM4.30 million to RM19.00 million.

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

The median PSF stands at RM338, with core pricing between RM288 and RM388. Market pricing typically extends from RM281.54 to RM393.54, reflecting moderate variation in unit pricing. With an IQR of RM112.00 and MAD of RM50, 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.