Taman Sri Bayan

11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
2-Sty Terrace
RM530,000
Lorong Damar
861 sqft · RM615 PSF
1,100 sqft
2-Sty Terrace
RM590,000
Lorong Damar 5
1,076 sqft · RM548 PSF
1,850 sqft
2-Sty Shop
RM1,250,000
Jalan Dato Ismail
1,862 sqft · RM671 PSF
2,500 sqft
2-Sty Shop
RM1,000,000
Jalan Damar
2,519 sqft · RM397 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sri Bayan? Homes here sold for a median of RM795,000.

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Market Snapshot

Commercial

RM1,125,000

RM534 psf

Median transaction price

Taman Sri Bayan
© OpenStreetMap · CARTO

Taman Sri Bayan, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Taman Sri Bayan in Barat Daya, Penang recorded 4 subsale transactions between 2021 and 2026, with a median price of RM795K and a median price per square foot (PSF) of RM582.

This area contains both residential and commercial properties. View 5 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM795K, with most transactions falling within a stable range of RM530K to RM1.09 million, and a typical market range of RM568K to RM1.02 million.

Most transactions involved 2 - 2 1/2 storey shop, with moderate diversity in property types available.

The median PSF stands at RM582, with core pricing between RM479 and RM684. Market pricing typically extends from RM544.94 to RM618.69, reflecting moderate variation in unit pricing. The spread of RM73.75 (IQR) and deviation of RM103 (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.