Ideal Vision Park @ Tree Sparina

Tree Sparina, Jalan Sungai Tiram 6, Taman Tunas Damai, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

8 subsales found

Median
RM643,500
PSF
RM585
Price Size
Period
transactions middle 50% (P25–P75)
RM660,000
Level 35
1,100 sqft RM600 PSF
RM625,000
Level 15
1,100 sqft RM568 PSF
RM635,000
Level 32
1,100 sqft RM577 PSF
RM679,000
Level 32
1,100 sqft RM617 PSF
RM660,000
Level 14
1,100 sqft RM600 PSF
RM652,000
Level 15
1,100 sqft RM593 PSF
RM600,000
Level 7
1,100 sqft RM545 PSF
RM622,000
Level 12
1,100 sqft RM565 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM643,500

RM585 psf

Median transaction price

Ideal Vision Park @ Tree Sparina
© OpenStreetMap · CARTO

Tree Sparina, Jalan Sungai Tiram 6, Taman Tunas Damai, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Ideal Vision Park @ Tree Sparina in Barat Daya, Penang recorded 8 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM644K and a median price per square foot (PSF) of RM585.

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 RM644K, with most transactions falling within a stable range of RM619K to RM668K, and a typical market range of RM604K to RM679K.

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

For price per square foot, the median is RM585, with most transactions between RM563 and RM607. The usual range is RM543.52 to RM626.52, showing that most units are priced quite close to each other. With an IQR of RM83.00 and MAD of RM22, 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.