Minden Heights

11700 Gelugor, Penang, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM1,245,000
PSF
RM585
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
2-Sty Terrace
RM1,010,000
Changkat Minden
1,399 sqft · RM722 PSF
1,550 sqft
2-Sty Terrace
RM880,000
Cangkat Minden Jalan 2
1,550 sqft · RM568 PSF
3,150 sqft
Semi-D
RM1,480,000
Changkat Minden Jalan 2
3,143 sqft · RM471 PSF
3,450 sqft
Semi-D
RM2,080,000
Changkat Minden Jalan 1
3,455 sqft · RM602 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Gelugor

Market Snapshot

Residential

RM1,245,000

RM585 psf

Median transaction price

Low

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Minden Heights
© OpenStreetMap · CARTO

Minden Heights, 11700 Gelugor, Penang, Malaysia

Maps

Minden Heights in Timur Laut, Penang recorded 4 subsale transactions between 2021 and 2026, with a median price of RM1.25 million and a median price per square foot (PSF) of RM585.

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 RM1.25 million, with most transactions falling within a stable range of RM880K to RM1.72 million, and a typical market range of RM880K to RM1.90 million.

Most transactions involved detached, with moderate diversity in property types available.

The median PSF stands at RM585, with core pricing between RM495 and RM675. Market pricing typically extends from RM528.49 to RM641.49, reflecting moderate variation in unit pricing. The spread of RM113.00 (IQR) and deviation of RM90 (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.