Permai Jaya

Lintang Lembah Permai 4, 11200 Tanjung Bungah, Pulau Pinang, Malaysia

Property Transactions

18 subsales grouped by size

Median
RM279,000
PSF
RM413
Period
transactions middle 50% (P25–P75)
700 sqft
Flat
RM310,000
Level 10
678 sqft · RM457 PSF
RM310,000
Level 16
678 sqft · RM457 PSF
RM268,000
Level 14
678 sqft · RM395 PSF
RM265,000
Level 11
678 sqft · RM391 PSF
RM275,000
Level 7
678 sqft · RM406 PSF
RM243,000
Level 15
678 sqft · RM358 PSF
+12 more
Legend Recent Highest Price Highest PSF

Selling in Permai Jaya? Homes here sold for a median of RM279,000.

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Market Snapshot

Residential

RM279,000

RM412 psf

Median transaction price

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Lintang Lembah Permai 4, 11200 Tanjung Bungah, Pulau Pinang, Malaysia

Maps

Permai Jaya in Timur Laut, Penang recorded 18 subsale transactions between 2021 and 2026, with a median price of RM279K and a median price per square foot (PSF) of RM413.

Nothing is listed in Permai Jaya right now. Browse properties for sale in 18 and properties for rent in 18 nearby, then use the 18 sales recorded here to judge whether an asking price is fair.

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 RM279K, with most transactions falling within a stable range of RM259K to RM299K, and a typical market range of RM262K to RM296K.

Most transactions involved flats, with minimal variety in property types.

For price per square foot, the median is RM413, with most transactions between RM383 and RM442. The usual range is RM387.90 to RM437.90, showing that most units are priced quite close to each other. With an IQR of RM50.00 and MAD of RM30, the PSF demonstrates reasonable consistency across the market.

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.