Imperial Grande

1, Persiaran Relau, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

12 subsales grouped by size

Median
RM554,000
PSF
RM548
Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Condo
RM530,000
Level 18
1,012 sqft · RM524 PSF
RM578,000
Level 28
1,012 sqft · RM571 PSF
RM555,000
Level 23
1,012 sqft · RM549 PSF
RM553,000
Level 36
1,012 sqft · RM547 PSF
RM550,000
Level 45
1,012 sqft · RM544 PSF
RM550,000
Level 46
1,012 sqft · RM544 PSF
+5 more
1,050 sqft
Condo
RM585,000
Level 39
1,033 sqft · RM566 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM554,000

RM548 psf

Median transaction price

Average

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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1, Persiaran Relau, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Imperial Grande in Barat Daya, Penang recorded 12 subsale transactions between 2021 and 2026, with a median price of RM554K and a median price per square foot (PSF) of RM548.

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 RM554K, with most transactions falling within a stable range of RM525K to RM586K, and a typical market range of RM534K to RM574K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM548, with most transactions between RM516 and RM579. The usual range is RM527.03 to RM568.03, showing that most units are priced quite close to each other. A typical spread (IQR) of RM41.00 and an average deviation (MAD) of RM31 indicate a highly stable PSF trend across properties.

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.