Taman Kuala Sungai Pinang
11000 Balik Pulau, Pulau Pinang, Malaysia
11000 Balik Pulau, Pulau Pinang, Malaysia
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2024 | |||||
|
Lintang Nelayan 3
|
RM 310,000
|
RM 148
|
2,099 sqft
|
|
LC House |
|
Lintang Nelayan 8
|
RM 350,000
|
RM 167
|
2,099 sqft
|
|
LC House |
|
Lintang Nelayan 8
|
RM 350,000
|
RM 166
|
2,110 sqft
|
|
LC House |
| 2023 | |||||
|
Lintang Nelayan 6
|
RM 310,000
|
RM 148
|
2,099 sqft
|
|
LC House |
|
Lintang Nelayan 4
|
RM 265,000
|
RM 126
|
2,099 sqft
|
|
LC House |
| 2021 | |||||
|
Lintang Nelayan 15
|
RM 300,000
|
RM 143
|
2,099 sqft
|
|
LC House |
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Market Snapshot
ResidentialRM 310,000
RM 148 psfMedian transaction price
Taman Kuala Sungai Pinang, 11000 Balik Pulau, Pulau Pinang, Malaysia
MapsTaman Kuala Sungai Pinang in Barat Daya, Penang recorded 6 subsale transactions between 2021 and 2026, sized between 2,075 and 2,124 sqft, with a median price of RM 310K and a median price per square foot (PSF) of RM 148.
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 310K, with most transactions falling within a stable range of RM 281K to RM 339K, and a typical market range of RM 272K to RM 348K.
Most transactions involved low-cost house, though some variety exists in the market.
For price per square foot, the median is RM 148, with most transactions between RM 134 and RM 162. The usual range is RM 122.94 to RM 172.44, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 49.50 and an average deviation (MAD) of RM 14 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.