| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 9
|
RM555,000
|
RM549
|
1,012 sqft
|
|
|
|
Level 6
|
RM498,000
|
RM492
|
1,012 sqft
|
|
|
|
Level 6
|
RM530,000
|
RM524
|
1,012 sqft
|
|
Selling in Penhill Perdana Condominium? Homes here sold for a median of RM555,000.
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Penhill Perdana Condominium
Pangsapuri Pinang Indah
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 16
Market Snapshot
ResidentialRM555,000
RM492 psfMedian transaction price
Does PENHILL PERDANA CONDOMINIUM rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
See the yield with PlusRM59 a month, cancel any time
Block 5 & 7, Taman Lintang, 11500 Ayer Itam, Pulau Pinang, Malaysia
MapsPenhill Perdana Condominium in Timur Laut, Penang recorded 5 subsale transactions in 2022, with a median price of RM555K and a median price per square foot (PSF) of RM492.
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 RM555K, with most transactions falling within a stable range of RM498K to RM1.18 million, and a typical market range of RM519K to RM591K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM492, with most transactions between RM464 and RM520. The usual range is RM480.44 to RM503.94, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.50 and an average deviation (MAD) of RM28 indicate a highly stable PSF trend across properties.
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.