| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 19
|
RM320,000
|
RM457
|
700 sqft
|
|
|
|
Level 9
|
RM350,000
|
RM500
|
700 sqft
|
|
|
|
Level 13
|
RM333,000
|
RM476
|
700 sqft
|
|
|
|
Level 14
|
RM300,000
|
RM429
|
700 sqft
|
|
|
|
Level 14
|
RM330,000
|
RM479
|
689 sqft
|
|
|
Level 12
|
RM645,000
|
RM324
|
1,991 sqft
|
|
|
|
Level 5
|
RM850,000
|
RM427
|
1,991 sqft
|
|
|
|
Level 22
|
RM780,000
|
RM392
|
1,991 sqft
|
|
|
Level 19
|
RM900,000
|
RM435
|
2,067 sqft
|
|
|
|
Level 23
|
RM938,000
|
RM454
|
2,067 sqft
|
|
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Zon Pavillon
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 10
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Market Snapshot
ResidentialRM530,000
RM454 psfMedian transaction price
Southwest District, Penang, Malaysia
MapsZon Pavillon in Barat Daya, Penang recorded 11 subsale transactions between 2021 and 2026, with a median price of RM530K and a median price per square foot (PSF) of RM454.
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 RM530K, with most transactions falling within a stable range of RM320K to RM740K, and a typical market range of RM300K to RM772K.
Most transactions involved condominium/apartment, though some variety exists in the market.
For price per square foot, the median is RM454, with most transactions between RM429 and RM479. The usual range is RM429.37 to RM478.37, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.00 and an average deviation (MAD) of RM25 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.