Sri Jaya Industri

Taman Desa Mutiara, 11000 Balik Pulau, Penang, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM1,615,000
PSF
RM506
Period
transactions middle 50% (P25–P75)
3,100 sqft
Terrace Factory
RM1,580,000
Lengkok Teluk Kumbar
3,122 sqft · RM506 PSF
3,800 sqft
Terrace Factory
RM1,650,000
Lengkok Teluk Kumbar 1
3,810 sqft · RM433 PSF
Legend Recent Highest Price Highest PSF

Selling in Sri Jaya Industri? Homes here sold for a median of RM1,615,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Sri Jaya Industri

What’s happening in Sri Jaya Industri?

No posts about Sri Jaya Industri yet. Be the first to share what’s happening here.

Loading map...

Taman Desa Mutiara, 11000 Balik Pulau, Penang, Malaysia

Maps

Sri Jaya Industri in Barat Daya, Penang recorded 2 subsale transactions between 2021 and 2026, with a median price of RM1.62 million and a median price per square foot (PSF) of RM506.

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 RM1.62 million, with most transactions falling within a stable range of RM1.58 million to RM1.65 million, and a typical market range of RM1.60 million to RM1.63 million.

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

The median PSF stands at RM506, with core pricing between RM409 and RM604. Market pricing typically extends from RM457.25 to RM554.75, reflecting moderate variation in unit pricing. The spread of RM97.50 (IQR) and deviation of RM98 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.