Pangsapuri Universiti

No. 54-3-2, Mutiara Indah, Bukit Gambir, Taman Tun Sardon, 11700 Gelugor, Pulau Pinang, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM330,000
PSF
RM330
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Office
RM430,000
Level 2
678 sqft · RM634 PSF
1,000 sqft
Office
RM330,000
Level 4
1,001 sqft · RM330 PSF
RM310,000
Level 5
1,012 sqft · RM306 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM450,000

RM511 psf

Median transaction price

Pangsapuri Universiti
© OpenStreetMap · CARTO

No. 54-3-2, Mutiara Indah, Bukit Gambir, Taman Tun Sardon, 11700 Gelugor, Pulau Pinang, Malaysia

Maps

Pangsapuri Universiti in Timur Laut, Penang recorded 3 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM330K and a median price per square foot (PSF) of RM330.

This area contains both residential and commercial properties. View 7 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM330K, with most transactions falling within a stable range of RM310K to RM382K, and a typical market range of RM310K to RM366K.

Within the Office Lot category, condominium/apartment dominated the market, with moderate diversity in property types available.

Price per square foot shows a median of RM330, though individual units vary from RM180 to RM479 in the core range. The broader market spans RM244.29 to RM415.04, indicating diverse property characteristics. A wider spread (IQR: RM170.75) and deviation (MAD: RM149) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.