Rena Park
No 15, Tingkat Sungai Rusa 1, Kampung Sungai Rusa, 6 Balik Pulau, Penang, Malaysia
No 15, Tingkat Sungai Rusa 1, Kampung Sungai Rusa, 6 Balik Pulau, Penang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Tingkat Sungai Rusa 6
|
RM835,000
|
RM282
|
2,960 sqft
|
|
|
|
Tingkat Sungai Rusa 6
|
RM845,000
|
RM285
|
2,960 sqft
|
|
|
|
Tingkat Sungai Rusa 6
|
RM650,000
|
RM220
|
2,960 sqft
|
|
Posts about Rena Park
No posts about Rena Park yet. Be the first to share what’s happening here.
Nearby areas in 3
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 3
Promote your property to visitors of this page
Market Snapshot
ResidentialRM835,000
RM282 psfMedian transaction price
No 15, Tingkat Sungai Rusa 1, Kampung Sungai Rusa, 6 Balik Pulau, Penang, Malaysia
MapsRena Park in Barat Daya, Penang recorded 3 subsale transactions between 2021 and 2026, with a median price of RM835K and a median price per square foot (PSF) of RM282.
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 RM835K, with most transactions falling within a stable range of RM745K to RM845K, and a typical market range of RM824K to RM845K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
The median PSF stands at RM282, with core pricing between RM252 and RM312. Market pricing typically extends from RM275.72 to RM288.47, reflecting moderate variation in unit pricing. With an IQR of RM12.75 and MAD of RM30, 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. 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.