Rumah Murah Balik Pulau
Disebelah 267, Mukim, Kampung Perlis, 11000 Balik Pulau, Penang, Malaysia
Disebelah 267, Mukim, Kampung Perlis, 11000 Balik Pulau, Penang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Mukim F, Jalan Balik Pulau
|
RM220,000
|
RM217
|
1,012 sqft
|
|
|
|
Mk. F, Jalan Balik Pulau
|
RM180,000
|
RM176
|
1,023 sqft
|
|
Posts about Rumah Murah Balik Pulau
No posts about Rumah Murah Balik Pulau yet. Be the first to share what’s happening here.
Nearby areas in F
Orchardia
Taman Balik Pulau
Rumah Murah Balik Pulau
Simfoni Garden
Taman Senator Oh
Simfoni Swiss
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 F
Promote your property to visitors of this page
Disebelah 267, Mukim, Kampung Perlis, 11000 Balik Pulau, Penang, Malaysia
MapsRumah Murah Balik Pulau in Barat Daya, Penang recorded 2 subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM217.
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 RM200K, with most transactions falling within a stable range of RM180K to RM220K, and a typical market range of RM190K to RM210K.
Most transactions involved low-cost house, with minimal variety in property types.
For price per square foot, the median is RM217, with most transactions between RM197 and RM238. The usual range is RM207.18 to RM227.68, showing that most units are priced quite close to each other. A typical spread (IQR) of RM20.50 and an average deviation (MAD) of RM21 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.