| LIST.MY · Taman Kuala Muda | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Lorong Muda 5
|
RM300,000
|
RM139
|
2,160 sqft
|
|
Bungalow |
| 2024 | |||||
|
Lorong Muda 7
|
RM270,000
|
RM123
|
2,200 sqft
|
|
LC House |
|
Lorong Muda 10
|
RM150,000
|
RM60
|
2,486 sqft
|
|
LC House |
| 2023 | |||||
|
Lorong Muda 1
|
RM120,000
|
RM56
|
2,160 sqft
|
|
LC House |
|
Jalan Muda 5
|
RM80,000
|
RM37
|
2,164 sqft
|
|
LC House |
| 2022 | |||||
|
Lorong Muda 1
|
RM130,000
|
RM50
|
2,583 sqft
|
|
Bungalow |
|
Lorong Muda 11
|
RM130,000
|
RM60
|
2,164 sqft
|
|
LC House |
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Nearby areas in 1
Taman Desa Kuala Muda
Taman Kuala 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 1
1, Pulau Pinang, Malaysia
MapsTaman Kuala Muda in Seberang Perai Utara, Penang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM130K and a median price per square foot (PSF) of RM60.
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 RM130K, with most transactions falling within a stable range of RM110K to RM150K, and a typical market range of RM88K to RM173K.
Most transactions involved low-cost house, though some variety exists in the market.
The median PSF stands at RM60, with core pricing between RM50 and RM70. Market pricing typically extends from RM40.84 to RM79.34, reflecting moderate variation in unit pricing. The spread of RM38.50 (IQR) and deviation of RM10 (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.