Taman Perindustrian Saga Jaya

13600 Perai, Pulau Pinang, Malaysia

Property Transactions

4 subsales grouped by size · Semi-D Factory →

Median
RM 3,240,000
PSF
RM 277
Price Size
Period
transactions middle 50% (P25–P75)
10,800 sqft
Semi-D Factory
RM 3,180,000
Lorong Saga Jaya 5
10,807 sqft · RM 294 PSF
11,000 sqft
Semi-D Factory
RM 3,300,000
Lorong Saga Jaya 7
11,001 sqft · RM 300 PSF
11,950 sqft
Semi-D Factory
RM 3,100,000
Lorong Saga Jaya 3
11,948 sqft · RM 259 PSF
18,400 sqft
Semi-D Factory
RM 4,400,000
Lorong Saga Jaya 1
18,406 sqft · RM 239 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 3,240,000

RM 277 psf

Median transaction price

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Taman Perindustrian Saga Jaya, 13600 Perai, Pulau Pinang, Malaysia

Maps

Taman Perindustrian Saga Jaya in Seberang Perai Tengah, Penang recorded 4 subsale transactions in 2022, with a median price of RM 3.24 million and a median price per square foot (PSF) of RM 277.

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 3.24 million, with most transactions falling within a stable range of RM 3.10 million to RM 3.77 million, and a typical market range of RM 3.10 million to RM 4.40 million.

Most transactions involved semi-detached factory/warehouse, though some variety exists in the market.

For price per square foot, the median is RM 277, with most transactions between RM 252 and RM 302. The usual range is RM 252.86 to RM 300.86, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 48.00 and an average deviation (MAD) of RM 25 indicate a highly stable PSF trend across properties.

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.