Kaw Industri Mak Mandin

Kawasan Industri Mak Mandin, Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Penang, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 3,500,000
PSF
RM 229
Period
transactions middle 50% (P25–P75)
4,600 sqft
Terrace Factory
RM 1,050,000
Lorong Mak Mandin 1
4,585 sqft · RM 229 PSF
10,100 sqft
Semi-D Factory
RM 3,500,000
Lorong Mak Mandin 2
10,087 sqft · RM 347 PSF
46,100 sqft
Factory
RM 3,800,000
Lorong Mak Mandin 3
46,081 sqft · RM 82 PSF
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Market Snapshot

Commercial

RM 2,275,000

RM 320 psf

Median transaction price

Kaw Industri Mak Mandin
© OpenStreetMap · CARTO

Kawasan Industri Mak Mandin, Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Penang, Malaysia

Maps

Kaw Industri Mak Mandin in Seberang Perai Utara, Penang recorded 3 subsale transactions between 2021 and 2026, with a median price of RM 3.50 million and a median price per square foot (PSF) of RM 229.

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 3.50 million, with most transactions falling within a stable range of RM 3.20 million to RM 3.80 million, and a typical market range of RM 2.81 million to RM 3.80 million.

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

Price per square foot shows a median of RM 229, though individual units vary from RM 174 to RM 284 in the core range. The broader market spans RM 162.74 to RM 295.24, indicating diverse property characteristics. The spread of RM 132.50 (IQR) and deviation of RM 55 (MAD) suggest moderate price variations reflecting different property features.

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.