Taman Tunas Muda
11900 Bayan Lepas, Pulau Pinang, Malaysia
11900 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lintang Bayan 6
|
RM680,000
|
RM486
|
1,399 sqft
|
|
Terrace |
|
Lintang Bayan 8
|
RM610,000
|
RM436
|
1,399 sqft
|
|
Terrace |
|
-
|
RM450,000
|
RM324
|
1,389 sqft
|
|
Townhouse |
|
-
|
RM495,000
|
RM356
|
1,389 sqft
|
|
Townhouse |
Selling in Taman Tunas Muda? Homes here sold for a median of RM552,500.
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Taman Tunas Muda
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 12
Market Snapshot
ResidentialRM552,500
RM396 psfMedian transaction price
Taman Tunas Muda, 11900 Bayan Lepas, Pulau Pinang, Malaysia
MapsTaman Tunas Muda in Barat Daya, Penang recorded 4 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM553K and a median price per square foot (PSF) of RM396.
This area contains both residential and commercial properties. View 47 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM553K, with most transactions falling within a stable range of RM461K to RM644K, and a typical market range of RM450K to RM680K.
Most transactions involved flats, with high diversity across multiple property types.
The median PSF stands at RM396, with core pricing between RM332 and RM460. Market pricing typically extends from RM327.71 to RM464.71, reflecting moderate variation in unit pricing. The spread of RM137.00 (IQR) and deviation of RM64 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.