Taman Tunas Muda
11900 Bayan Lepas, Pulau Pinang, Malaysia
11900 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM578,000
|
RM459
|
1,259 sqft
|
|
|
|
Level 1
|
RM500,000
|
RM397
|
1,259 sqft
|
|
|
Level 2
|
RM450,000
|
RM324
|
1,389 sqft
|
|
|
|
Level 1
|
RM495,000
|
RM356
|
1,389 sqft
|
|
|
Level 2
|
RM400,000
|
RM267
|
1,496 sqft
|
|
|
|
Level 2
|
RM430,000
|
RM287
|
1,496 sqft
|
|
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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
ResidentialRM477,500
RM348 psfMedian transaction price
Taman Tunas Muda, 11900 Bayan Lepas, Pulau Pinang, Malaysia
MapsTaman Tunas Muda in Barat Daya, Penang recorded 8 Town House properties subsale transactions between 2021 and 2026, with a median price of RM478K and a median price per square foot (PSF) of RM348.
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 RM478K, with most transactions falling within a stable range of RM421K to RM534K, and a typical market range of RM400K to RM578K.
Within the Town House category, flats dominated the market, with high diversity across multiple property types.
The median PSF stands at RM348, with core pricing between RM285 and RM411. Market pricing typically extends from RM279.33 to RM416.33, reflecting moderate variation in unit pricing. The spread of RM137.00 (IQR) and deviation of RM63 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.