Taman Tunas Idaman-Idaman Iris
Malaysia, Penang, Bayan Lepas, Sungai Ara, Pangsapuri Idaman Iris, Lilitan
Malaysia, Penang, Bayan Lepas, Sungai Ara, Pangsapuri Idaman Iris, Lilitan
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 11
|
RM 420,000
|
RM 482
|
872 sqft
|
|
|
|
Level 10
|
RM 430,000
|
RM 493
|
872 sqft
|
|
|
|
Level 18
|
RM 445,000
|
RM 510
|
872 sqft
|
|
|
|
Level 5
|
RM 410,000
|
RM 470
|
872 sqft
|
|
|
Level 7
|
RM 480,000
|
RM 531
|
904 sqft
|
|
|
|
Level 10
|
RM 495,000
|
RM 561
|
883 sqft
|
|
|
|
Level 13
|
RM 441,000
|
RM 500
|
883 sqft
|
|
|
|
Level 19
|
RM 448,000
|
RM 508
|
883 sqft
|
|
|
|
Level 20
|
RM 350,000
|
RM 397
|
883 sqft
|
|
|
|
Level 14
|
RM 378,000
|
RM 428
|
883 sqft
|
|
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Market Snapshot
ResidentialRM 435,500
RM 496 psfMedian transaction price
Malaysia, Penang, Bayan Lepas, Sungai Ara, Pangsapuri Idaman Iris, Lilitan
MapsTaman Tunas Idaman-Idaman Iris in Barat Daya, Penang recorded 10 subsale transactions between 2021 and 2026, with a median price of RM 436K and a median price per square foot (PSF) of RM 496.
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 RM 436K, with most transactions falling within a stable range of RM 394K to RM 477K, and a typical market range of RM 416K to RM 456K.
Most transactions involved flats, with minimal variety in property types.
For price per square foot, the median is RM 496, with most transactions between RM 451 and RM 542. The usual range is RM 473.54 to RM 519.29, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 45.75 and an average deviation (MAD) of RM 45 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.