Emerald Residence

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

Property Transactions

10 subsales found

Median
RM 544,500
PSF
RM 486
Price Size
RM 456,000
Level 26
1,119 sqft RM 407 PSF
RM 550,000
Level 20
1,119 sqft RM 491 PSF
RM 559,000
Level 25
1,119 sqft RM 499 PSF
RM 525,000
Level 6
1,119 sqft RM 469 PSF
RM 552,000
Level 22
1,119 sqft RM 493 PSF
RM 598,000
Level 27
1,184 sqft RM 505 PSF
RM 552,000
Level 22
1,119 sqft RM 493 PSF
RM 488,000
Level 28
1,119 sqft RM 436 PSF
RM 483,000
Level 28
1,119 sqft RM 431 PSF
RM 539,000
Level 16
1,119 sqft RM 481 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 544,500

RM 486 psf

Median transaction price

Low

Rental Yield Data

Login to view this data.

Login to View
Loading map...

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

Maps

Emerald Residence in Barat Daya, Penang recorded 10 subsale transactions in 2025, with a median price of RM 545K and a median price per square foot (PSF) of RM 486.

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 RM 545K, with most transactions falling within a stable range of RM 504K to RM 585K, and a typical market range of RM 529K to RM 560K.

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

For price per square foot, the median is RM 486, with most transactions between RM 454 and RM 519. The usual range is RM 476.40 to RM 496.40, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 20.00 and an average deviation (MAD) of RM 32 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.