Gat Lebuh Maccalum Flat

Gat Lebuh Macallum, 10300 George Town, Pulau Pinang, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM170,000
PSF
RM236

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
450 sqft
LC Flat
RM85,000
Level 5
452 sqft · RM188 PSF
600 sqft
LC Flat
RM145,000
Level 2
592 sqft · RM245 PSF
RM190,000
Level 3
603 sqft · RM315 PSF
RM113,000
Level 5
603 sqft · RM187 PSF
750 sqft
LC Flat
RM175,000
Level 3
743 sqft · RM236 PSF
850 sqft
LC Flat
RM170,000
Level 3
829 sqft · RM205 PSF
RM250,000
Level 4
840 sqft · RM298 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM170,000

RM236 psf

Median transaction price

Gat Lebuh Maccalum Flat
© OpenStreetMap · CARTO

Gat Lebuh Macallum, 10300 George Town, Pulau Pinang, Malaysia

Maps

Gat Lebuh Maccalum Flat in Timur Laut, Penang recorded 7 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM170K and a median price per square foot (PSF) of RM236.

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 RM170K, with most transactions falling within a stable range of RM120K to RM220K, and a typical market range of RM149K to RM191K.

Within the Low-Cost Flat category, low-cost flat dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM236, though individual units vary from RM188 to RM283 in the core range. The broader market spans RM177.75 to RM293.50, indicating diverse property characteristics. The spread of RM115.75 (IQR) and deviation of RM47 (MAD) suggest moderate price variations reflecting different property features.

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.