Setia Vista Low Cost Flat
Setia Vista, Bayan Lepas, Pulau Pinang, Malaysia
Setia Vista, Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 7
|
RM220,000
|
RM341
|
646 sqft
|
|
|
|
Level 10
|
RM220,000
|
RM341
|
646 sqft
|
|
|
|
Level 13
|
RM260,000
|
RM403
|
646 sqft
|
|
|
|
Level 6
|
RM250,000
|
RM387
|
646 sqft
|
|
|
|
Level 16
|
RM260,000
|
RM403
|
646 sqft
|
|
|
|
Level 12
|
RM285,000
|
RM441
|
646 sqft
|
|
Selling in Setia Vista Low Cost Flat? Homes here sold for a median of RM255,000.
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Nearby areas in 5
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Setia Vista Low Cost Flat
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Taman Seri Relau
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 5
Market Snapshot
ResidentialRM255,000
RM395 psfMedian transaction price
Setia Vista, Bayan Lepas, Pulau Pinang, Malaysia
MapsSetia Vista Low Cost Flat in Barat Daya, Penang recorded 6 subsale transactions in 2022, with a median price of RM255K and a median price per square foot (PSF) of RM395.
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 RM255K, with most transactions falling within a stable range of RM232K to RM278K, and a typical market range of RM241K to RM270K.
Most transactions involved low-cost flat, with minimal variety in property types.
For price per square foot, the median is RM395, with most transactions between RM359 and RM431. The usual range is RM372.22 to RM417.47, showing that most units are priced quite close to each other. A typical spread (IQR) of RM45.25 and an average deviation (MAD) of RM36 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.