Emerald Residence

Jln Bukit Belah, 11920 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

10 subsales grouped by size

Median
RM551,000
PSF
RM492
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Condo
RM541,000
Level 17
1,119 sqft · RM483 PSF
RM557,000
Level 24
1,119 sqft · RM498 PSF
RM456,000
Level 26
1,119 sqft · RM407 PSF
RM550,000
Level 20
1,119 sqft · RM491 PSF
RM559,000
Level 25
1,119 sqft · RM499 PSF
RM525,000
Level 6
1,119 sqft · RM469 PSF
+3 more
1,200 sqft
Condo
RM598,000
Level 27
1,184 sqft · RM505 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM551,000

RM492 psf

Median transaction price

Low

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

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Emerald Residence, Jln Bukit Belah, 11920 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Emerald Residence in Barat Daya, Penang recorded 10 subsale transactions between 2021 and 2026, with a median price of RM551K and a median price per square foot (PSF) of RM492.

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 RM551K, with most transactions falling within a stable range of RM513K to RM589K, and a typical market range of RM536K to RM566K.

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

For price per square foot, the median is RM492, with most transactions between RM462 and RM522. The usual range is RM482.21 to RM502.21, showing that most units are priced quite close to each other. A typical spread (IQR) of RM20.00 and an average deviation (MAD) of RM30 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.