Bukit Jambul Indah
Bukit Jambul Indah Lake, Bayan Lepas, Penang, Malaysia
Bukit Jambul Indah Lake, Bayan Lepas, Penang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 11
|
RM450,000
|
RM414
|
1,087 sqft
|
|
|
|
Level 4
|
RM365,000
|
RM336
|
1,087 sqft
|
|
|
|
Level 11
|
RM360,000
|
RM331
|
1,087 sqft
|
|
|
|
Level 8
|
RM360,000
|
RM334
|
1,076 sqft
|
|
|
|
Level 10
|
RM370,000
|
RM344
|
1,076 sqft
|
|
|
|
Level 16
|
RM368,000
|
RM342
|
1,076 sqft
|
|
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Bukit Jambul Indah
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 13
Market Snapshot
ResidentialRM370,000
RM344 psfMedian transaction price
Bukit Jambul Indah Lake, Bayan Lepas, Penang, Malaysia
MapsBukit Jambul Indah in Timur Laut, Penang recorded 10 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM370K and a median price per square foot (PSF) of RM344.
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 RM370K, with most transactions falling within a stable range of RM360K to RM405K, and a typical market range of RM360K to RM408K.
Most transactions involved condominium/apartment, though some variety exists in the market.
For price per square foot, the median is RM344, with most transactions between RM314 and RM373. The usual range is RM319.24 to RM368.24, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.00 and an average deviation (MAD) of RM29 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.