Tunas Residensi
Tunas Residensi Medan Bayan Relau, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
Tunas Residensi Medan Bayan Relau, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 5
|
RM362,000
|
RM438
|
826 sqft
|
|
|
|
Level 5
|
RM360,000
|
RM436
|
826 sqft
|
|
|
|
Level 7
|
RM380,000
|
RM460
|
826 sqft
|
|
|
|
Level 7
|
RM350,000
|
RM424
|
826 sqft
|
|
|
|
Level 10
|
RM340,000
|
RM412
|
826 sqft
|
|
|
|
Level 8
|
RM360,000
|
RM436
|
826 sqft
|
|
|
|
Level 3
|
RM350,000
|
RM417
|
839 sqft
|
|
|
|
Level 10
|
RM360,000
|
RM436
|
826 sqft
|
|
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Tunas Residensi
PSF median price per sq ft · 12m its change over the past 12 months
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Market Snapshot
ResidentialRM360,000
RM436 psfMedian transaction price
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Tunas Residensi Medan Bayan Relau, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
MapsTunas Residensi in Barat Daya, Penang recorded 8 subsale transactions between 2021 and 2026, with a median price of RM360K and a median price per square foot (PSF) of RM436.
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 RM360K, with most transactions falling within a stable range of RM354K to RM366K, and a typical market range of RM355K to RM365K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM436, with most transactions between RM429 and RM443. The usual range is RM428.70 to RM442.95, showing that most units are priced quite close to each other. A typical spread (IQR) of RM14.25 and an average deviation (MAD) of RM7 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.