Kawasan Bukit Gelugor

Taman Tun Sardon, 11700 Gelugor, Penang, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 750,000
PSF
RM 180
Price Size
Period
transactions middle 50% (P25–P75)
2,650 sqft
Semi-D
RM 750,000
Jalan Bunga Raya
2,672 sqft · RM 281 PSF
RM 750,000
Lorong Bunga Raya
2,662 sqft · RM 282 PSF
3,200 sqft
Bungalow
RM 480,000
Jalan Pekeliling
3,214 sqft · RM 149 PSF
3,400 sqft
Semi-D
RM 450,000
Jalan Bunga Raya
3,399 sqft · RM 132 PSF
5,500 sqft
Bungalow
RM 988,000
Lebuhraya Bingham
5,503 sqft · RM 180 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 750,000

RM 180 psf

Median transaction price

Kawasan Bukit Gelugor
© OpenStreetMap · CARTO

Taman Tun Sardon, 11700 Gelugor, Penang, Malaysia

Maps

Kawasan Bukit Gelugor in Timur Laut, Penang recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 750K and a median price per square foot (PSF) of RM 180.

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 750K, with most transactions falling within a stable range of RM 551K to RM 949K, and a typical market range of RM 600K to RM 900K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with moderate diversity in property types available.

Price per square foot shows a median of RM 180, though individual units vary from RM 115 to RM 244 in the core range. The broader market spans RM 155.42 to RM 203.67, indicating diverse property characteristics. A wider spread (IQR: RM 48.25) and deviation (MAD: RM 64) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.