Halaman Murni

Jalan, Kampung Perlis, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM300,000
PSF
RM442

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
500 sqft
Flat
RM157,000
Level 5
495 sqft · RM317 PSF
650 sqft
Flat
RM350,000
Level 10
667 sqft · RM524 PSF
RM350,000
Level 10
667 sqft · RM524 PSF
RM305,000
Level 4
657 sqft · RM465 PSF
700 sqft
Flat
RM360,000
Level 5
678 sqft · RM531 PSF
RM300,000
Level 4
678 sqft · RM442 PSF
RM250,000
Level 2
689 sqft · RM363 PSF
RM250,000
Level 3
678 sqft · RM369 PSF
RM295,000
Level 9
700 sqft · RM422 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM300,000

RM442 psf

Median transaction price

Halaman Murni
© OpenStreetMap · CARTO

Jalan, Kampung Perlis, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Halaman Murni in Barat Daya, Penang recorded 9 Flat properties subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM442.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM300K, with most transactions falling within a stable range of RM239K to RM360K, and a typical market range of RM233K to RM360K.

Within the Flat category, flats dominated the market, though some variety exists in the market.

The median PSF stands at RM442, with core pricing between RM368 and RM517. Market pricing typically extends from RM382.64 to RM502.14, reflecting moderate variation in unit pricing. The spread of RM119.50 (IQR) and deviation of RM74 (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.