Ideal Vision Park @ Tree Sparina

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

Property Transactions

7 subsales grouped by size

Median
RM660,000
PSF
RM548
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Condo
RM625,000
Level 15
1,100 sqft · RM568 PSF
1,150 sqft
Condo
RM590,000
Level 6
1,130 sqft · RM522 PSF
RM595,000
Level 14
1,130 sqft · RM527 PSF
1,200 sqft
Condo
RM690,000
Level 34
1,200 sqft · RM575 PSF
RM698,000
Level 19
1,200 sqft · RM582 PSF
1,300 sqft
Condo
RM660,000
Level 12
1,300 sqft · RM508 PSF
RM713,000
Level 12
1,300 sqft · RM548 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM660,000

RM548 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 7 subsale transactions in 2024, with a median price of RM660K and a median price per square foot (PSF) of RM548.

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 RM660K, with most transactions falling within a stable range of RM613K to RM707K, and a typical market range of RM620K to RM700K.

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

For price per square foot, the median is RM548, with most transactions between RM522 and RM575. The usual range is RM506.98 to RM589.98, showing that most units are priced quite close to each other. With an IQR of RM83.00 and MAD of RM27, 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.