Nibong Indah
Lorong Aziz Ibrahim, Kampung Sungai Nibong, 11900 Gelugor, Pulau Pinang, Malaysia
Lorong Aziz Ibrahim, Kampung Sungai Nibong, 11900 Gelugor, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 7
|
RM270,000
|
RM386
|
700 sqft
|
|
|
|
Level 12
|
RM264,000
|
RM377
|
700 sqft
|
|
|
|
Level 8
|
RM250,000
|
RM357
|
700 sqft
|
|
|
|
Level 14
|
RM288,000
|
RM412
|
700 sqft
|
|
|
|
Level 9
|
RM270,000
|
RM386
|
700 sqft
|
|
|
|
Level 12
|
RM260,000
|
RM372
|
700 sqft
|
|
Selling in Nibong Indah? Homes here sold for a median of RM270,000.
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Nibong 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 12
Market Snapshot
ResidentialRM270,000
RM386 psfMedian transaction price
Lorong Aziz Ibrahim, Kampung Sungai Nibong, 11900 Gelugor, Pulau Pinang, Malaysia
MapsNibong Indah in Barat Daya, Penang recorded 14 subsale transactions between 2021 and 2026, sized between 675 and 724 sqft, with a median price of RM270K and a median price per square foot (PSF) of RM386.
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 RM270K, with most transactions falling within a stable range of RM254K to RM286K, and a typical market range of RM256K to RM284K.
Most transactions involved flats, with minimal variety in property types.
For price per square foot, the median is RM386, with most transactions between RM364 and RM408. The usual range is RM368.04 to RM403.79, showing that most units are priced quite close to each other. A typical spread (IQR) of RM35.75 and an average deviation (MAD) of RM22 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.