Mutiara Perdana

Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

11 subsales grouped by size

Median
RM255,000
PSF
RM409
Price Size
Period
transactions middle 50% (P25–P75)
550 sqft
LC Flat
RM255,000
Level 4
538 sqft · RM474 PSF
RM220,000
Level 4
538 sqft · RM409 PSF
RM200,000
Level 7
538 sqft · RM372 PSF
RM230,000
Level 9
538 sqft · RM427 PSF
RM210,000
Level 6
538 sqft · RM390 PSF
RM230,000
Level 8
538 sqft · RM427 PSF
800 sqft
Flat
RM360,000
Level 2
775 sqft · RM465 PSF
RM325,000
Level 1
807 sqft · RM403 PSF
RM400,000
Level 2
775 sqft · RM516 PSF
RM280,000
Level 2
775 sqft · RM361 PSF
950 sqft
Flat
RM340,000
Level 4
958 sqft · RM355 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM255,000

RM409 psf

Median transaction price

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Mutiara Perdana, Bayan Lepas, Pulau Pinang, Malaysia

Maps

Mutiara Perdana in Barat Daya, Penang recorded 11 subsale transactions in 2025, with a median price of RM255K and a median price per square foot (PSF) of RM409.

This area contains both residential and commercial properties. View 73 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM255K, with most transactions falling within a stable range of RM200K to RM320K, and a typical market range of RM200K to RM332K.

Most transactions involved low-cost flat, with moderate diversity in property types available.

The median PSF stands at RM409, with core pricing between RM361 and RM457. Market pricing typically extends from RM361.63 to RM456.38, reflecting moderate variation in unit pricing. With an IQR of RM94.75 and MAD of RM48, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.