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
| LIST.MY · Rena Park | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Tingkat Sungai Rusa 6
|
RM845,000
|
RM285
|
2,960 sqft
|
|
2-Sty Terrace |
|
Tingkat Sungai Rusa 6
|
RM650,000
|
RM220
|
2,960 sqft
|
|
2-Sty Terrace |
|
Tingkat Sungai Rusa 6
|
RM845,000
|
RM285
|
2,960 sqft
|
|
2-Sty Terrace |
Selling in Rena Park? Homes here sold for a median of RM845,000.
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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
Market Snapshot
ResidentialRM845,000
RM285 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 in 2023, with a median price of RM845K and a median price per square foot (PSF) of RM285.
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 RM845K, with most transactions falling within a stable range of RM753K to RM845K, and a typical market range of RM834K to RM845K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
The median PSF stands at RM285, with core pricing between RM254 and RM317. Market pricing typically extends from RM279.10 to RM291.85, reflecting moderate variation in unit pricing. With an IQR of RM12.75 and MAD of RM31, 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.