Olive Tree Residences
70, Persiaran Mahsuri 2, Bandar Sunway Tunas, 11950 Bayan Lepas, Pulau Pinang, Malaysia
70, Persiaran Mahsuri 2, Bandar Sunway Tunas, 11950 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 10
|
RM750,000
|
RM471
|
1,594 sqft
|
|
|
|
Level 18
|
RM790,000
|
RM496
|
1,594 sqft
|
|
|
|
Level 11
|
RM925,000
|
RM580
|
1,594 sqft
|
|
|
|
Level 12
|
RM800,000
|
RM502
|
1,594 sqft
|
|
Selling in Olive Tree Residences? Homes here sold for a median of RM795,000.
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Olive Tree Residences
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 12
Market Snapshot
ResidentialRM795,000
RM499 psfMedian transaction price
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70, Persiaran Mahsuri 2, Bandar Sunway Tunas, 11950 Bayan Lepas, Pulau Pinang, Malaysia
MapsOlive Tree Residences in Barat Daya, Penang recorded 4 subsale transactions in 2023, with a median price of RM795K and a median price per square foot (PSF) of RM499.
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 RM795K, with most transactions falling within a stable range of RM750K to RM861K, and a typical market range of RM768K to RM822K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM499, with most transactions between RM458 and RM540. The usual range is RM477.77 to RM519.77, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.00 and an average deviation (MAD) of RM41 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.