| Road | Price | PSF | Size | Date | Type |
|---|
|
Changkat Minden Jalan 2
|
RM1,480,000
|
RM471
|
3,143 sqft
|
|
Semi-D |
|
Cangkat Minden , Jalan 12
|
RM1,550,000
|
RM490
|
3,165 sqft
|
|
Bungalow |
|
Changkat Minden Jalan 2
|
RM1,525,000
|
RM485
|
3,143 sqft
|
|
Semi-D |
Selling in Minden Heights? Homes here sold for a median of RM1,525,000.
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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
ResidentialRM1,525,000
RM485 psfMedian transaction price
Does MINDEN HEIGHTS rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
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Minden Heights, 11700 Gelugor, Penang, Malaysia
MapsMinden Heights in Timur Laut, Penang recorded 3 subsale transactions between 2021 and 2026, sized between 3,125 and 3,174 sqft, with a median price of RM1.53 million and a median price per square foot (PSF) of RM485.
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 RM1.53 million, with most transactions falling within a stable range of RM1.50 million to RM1.55 million, and a typical market range of RM1.48 million to RM1.55 million.
Most transactions involved detached, with moderate diversity in property types available.
For price per square foot, the median is RM485, with most transactions between RM477 and RM493. The usual range is RM428.70 to RM541.70, showing that most units are priced quite close to each other. With an IQR of RM113.00 and MAD of RM8, the PSF demonstrates reasonable consistency across the market.
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.