Taman Balik Pulau
4, Jalan Balik Pulau, Kampung Paya Simpang Empat Genting, 11000 Balik Pulau, Pulau Pinang, Malaysia
4, Jalan Balik Pulau, Kampung Paya Simpang Empat Genting, 11000 Balik Pulau, Pulau Pinang, Malaysia
Property Type
| LIST.MY · Taman Balik Pulau | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2022 | |||||
|
Hilir Sungai Pinang
|
RM710,000
|
RM209
|
3,401 sqft
|
|
2-Sty Terrace |
|
Hilir Sungai Pinang
|
RM710,000
|
RM209
|
3,401 sqft
|
|
2-Sty Terrace |
Selling in Taman Balik Pulau? Homes here sold for a median of RM710,000.
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Nearby areas in 4
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 4
Market Snapshot
ResidentialRM710,000
RM209 psfMedian transaction price
4, Jalan Balik Pulau, Kampung Paya Simpang Empat Genting, 11000 Balik Pulau, Pulau Pinang, Malaysia
MapsTaman Balik Pulau in Barat Daya, Penang recorded 2 subsale transactions between 2021 and 2026, sized between 2,000 and 5,000 sqft, with a median price of RM710K and a median price per square foot (PSF) of RM209.
This area contains both residential and commercial properties. View 16 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved low-cost flat, with high diversity across multiple property types.
For price per square foot, the median is RM209, with most transactions between RM209 and RM209. The usual range is RM182.24 to RM235.24, showing that most units are priced quite close to each other. With an IQR of RM53.00 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.