Bukit Jambul Indah

Bukit Jambul Indah Lake, Bayan Lepas, Penang, Malaysia

Property Transactions

9 subsales found

Median
RM430,000
PSF
RM360
Price Size
Period
transactions middle 50% (P25–P75)
RM460,000
Level 21
1,206 sqft RM382 PSF
RM455,000
Level 4
1,195 sqft RM381 PSF
RM415,000
Level 7
1,195 sqft RM347 PSF
RM430,000
Level 9
1,195 sqft RM360 PSF
RM420,000
Level 14
1,195 sqft RM352 PSF
RM430,000
Level 7
1,195 sqft RM360 PSF
RM500,000
Level 8
1,195 sqft RM418 PSF
RM450,000
Level 4
1,195 sqft RM377 PSF
RM350,000
Level 7
1,206 sqft RM290 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM430,000

RM360 psf

Median transaction price

Bukit Jambul Indah
© OpenStreetMap · CARTO

Bukit Jambul Indah Lake, Bayan Lepas, Penang, Malaysia

Maps

Bukit Jambul Indah in Timur Laut, Penang recorded 9 subsale transactions between 2021 and 2026, sized between 1,175 and 1,224 sqft, with a median price of RM430K and a median price per square foot (PSF) of RM360.

This area contains both residential and commercial properties. View 68 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM430K, with most transactions falling within a stable range of RM391K to RM469K, and a typical market range of RM393K to RM468K.

Most transactions involved condominium/apartment, though some variety exists in the market.

For price per square foot, the median is RM360, with most transactions between RM327 and RM393. The usual range is RM335.40 to RM384.40, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.00 and an average deviation (MAD) of RM33 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.