Olive Tree Residences

70, Persiaran Mahsuri 2, Bandar Sunway Tunas, 11950 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

15 subsales grouped by size

Median
RM775,000
PSF
RM474
Period
transactions middle 50% (P25–P75)
1,600 sqft
Condo
RM700,000
Level 18
1,594 sqft · RM439 PSF
RM680,000
Level 8
1,594 sqft · RM427 PSF
RM828,000
Level 13
1,617 sqft · RM512 PSF
RM800,000
Level 17
1,617 sqft · RM495 PSF
RM788,000
Level 12
1,594 sqft · RM494 PSF
RM750,000
Level 10
1,594 sqft · RM471 PSF
+8 more
1,700 sqft
Condo
RM778,000
Level 21
1,712 sqft · RM454 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM775,000

RM474 psf

Median transaction price

Average

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Olive Tree Residences
© OpenStreetMap · CARTO

70, Persiaran Mahsuri 2, Bandar Sunway Tunas, 11950 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Olive Tree Residences in Barat Daya, Penang recorded 15 subsale transactions between 2021 and 2026, with a median price of RM775K and a median price per square foot (PSF) of RM474.

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 RM775K, with most transactions falling within a stable range of RM750K to RM800K, and a typical market range of RM748K to RM802K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM474, with most transactions between RM453 and RM495. The usual range is RM452.67 to RM494.67, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.00 and an average deviation (MAD) of RM21 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.