Taman Tunas Idaman-Idaman Selasih

Malaysia, Penang, Bayan Lepas, Sungai Ara, Lilitan Sungai Ara, Lintang Sungai Ara 9

Property Transactions

11 subsales grouped by size

Median
RM320,000
PSF
RM472

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Flat
RM320,000
Level 24
678 sqft · RM472 PSF
RM306,000
Level 36
678 sqft · RM451 PSF
RM330,000
Level 28
678 sqft · RM487 PSF
RM330,000
Level 7
678 sqft · RM487 PSF
RM330,000
Level 32
678 sqft · RM487 PSF
RM330,000
Level 28
678 sqft · RM487 PSF
+5 more
Legend Recent Highest Price Highest PSF

Selling in Taman Tunas Idaman-Idaman Selasih? Homes here sold for a median of RM320,000.

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Market Snapshot

Residential

RM320,000

RM472 psf

Median transaction price

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Malaysia, Penang, Bayan Lepas, Sungai Ara, Lilitan Sungai Ara, Lintang Sungai Ara 9

Maps

Taman Tunas Idaman-Idaman Selasih in Barat Daya, Penang recorded 11 Flat properties subsale transactions between 2021 and 2026, with a median price of RM320K and a median price per square foot (PSF) of RM472.

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 RM320K, with most transactions falling within a stable range of RM302K to RM330K, and a typical market range of RM302K to RM330K.

Within the Flat category, low-cost flat dominated the market, with minimal variety in property types.

For price per square foot, the median is RM472, with most transactions between RM446 and RM498. The usual range is RM445.25 to RM498.75, showing that most units are priced quite close to each other. With an IQR of RM53.50 and MAD of RM26, 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.