Kaw. Balik Pulau

4, Jalan Balik Pulau, Kampung Paya Simpang Empat Genting, 11000 Balik Pulau, Pulau Pinang, Malaysia

Property Transactions

5 subsales grouped by size · 2-Sty Terrace →

Period
transactions middle 50% (P25–P75)
2,050 sqft
2-Sty Terrace
RM840,000
Hilir Sungai Pinang
2,045 sqft · RM411 PSF
RM780,000
Hilir Sungai Pinang
2,045 sqft · RM381 PSF
RM820,000
Kawasan Batu Itam
2,045 sqft · RM401 PSF
2,450 sqft
Semi-D
RM580,000
Lorong Bukit Penara
2,433 sqft · RM238 PSF
11,000 sqft
Semi-D
RM494,000
Belakang Tokong Batu Itam
11,001 sqft · RM45 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 4

Kaw. Balik Pulau
© OpenStreetMap · CARTO

4, Jalan Balik Pulau, Kampung Paya Simpang Empat Genting, 11000 Balik Pulau, Pulau Pinang, Malaysia

Maps

Kaw. Balik Pulau in Barat Daya, Penang recorded 5 subsale transactions between 2021 and 2026, with a median price of RM780K and a median price per square foot (PSF) of RM381.

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 RM780K, with most transactions falling within a stable range of RM720K to RM840K, and a typical market range of RM660K to RM840K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM381, though individual units vary from RM286 to RM476 in the core range. The broader market spans RM294.89 to RM467.89, indicating diverse property characteristics. The spread of RM173.00 (IQR) and deviation of RM95 (MAD) suggest moderate price variations reflecting different property features.

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.