Setia Vista
Bayan Lepas, Pulau Pinang, Malaysia
Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Tgkt Relau 8
|
RM1,150,000
|
RM737
|
1,561 sqft
|
|
|
|
Tingkat Relau 6
|
RM1,000,000
|
RM641
|
1,561 sqft
|
|
Selling in Setia Vista? Homes here sold for a median of RM1,075,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Setia Vista
No posts about Setia Vista yet. Be the first to share what’s happening here.
Nearby areas in 5
Setia Sky Vista
Setia Vista Low Cost Flat
Setia Vista
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
ResidentialRM1,075,000
RM689 psfMedian transaction price
Setia Vista, Bayan Lepas, Pulau Pinang, Malaysia
MapsSetia Vista in Barat Daya, Penang recorded 2 subsale transactions in 2021, with a median price of RM1.08 million and a median price per square foot (PSF) of RM689.
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 RM1.08 million, with most transactions falling within a stable range of RM1.00 million to RM1.15 million, and a typical market range of RM1.04 million to RM1.11 million.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM689, with most transactions between RM641 and RM737. The usual range is RM661.76 to RM715.76, showing that most units are priced quite close to each other. With an IQR of RM54.00 and MAD of RM48, the PSF demonstrates reasonable consistency across the market.
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.