| Price | PSF | Size | Date | Type |
|---|
|
RM2,200,000
|
RM722
|
3,046 sqft
|
|
Semi-D |
|
RM1,730,000
|
RM600
|
2,885 sqft
|
|
Semi-D |
|
RM1,850,000
|
RM494
|
3,743 sqft
|
|
Semi-D |
|
RM2,000,000
|
RM484
|
4,133 sqft
|
|
Semi-D |
|
RM2,700,000
|
RM361
|
7,478 sqft
|
|
Bungalow |
|
RM3,854,000
|
RM417
|
9,246 sqft
|
|
Semi-D |
|
RM1,800,000
|
RM463
|
3,886 sqft
|
|
|
|
RM2,200,000
|
RM341
|
6,459 sqft
|
|
Selling in Kawasan Bandar Gelugor? Homes here sold for a median of RM2,200,000.
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Ideal Residency
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 Gelugor
Market Snapshot
ResidentialRM2,200,000
RM440 psfMedian transaction price
Gelugor, Penang, Malaysia
MapsKawasan Bandar Gelugor in Timur Laut, Penang recorded 11 subsale transactions between 2021 and 2026, with a median price of RM2.20 million and a median price per square foot (PSF) of RM463.
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 RM2.20 million, with most transactions falling within a stable range of RM1.73 million to RM2.67 million, and a typical market range of RM1.69 million to RM2.71 million.
Most transactions involved detached, with moderate diversity in property types available.
Price per square foot shows a median of RM463, though individual units vary from RM361 to RM565 in the core range. The broader market spans RM371.73 to RM554.73, indicating diverse property characteristics. The spread of RM183.00 (IQR) and deviation of RM102 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.