Palmyra Residences
11020 Balik Pulau, Pulau Pinang, Malaysia
11020 Balik Pulau, Pulau Pinang, Malaysia
| LIST.MY · Palmyra Residences | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Sungai Nipah 11
|
RM510,000
|
RM314
|
1,625 sqft
|
|
2-Sty Terrace |
|
Jalan Sungai Nipah 11
|
RM595,000
|
RM248
|
2,400 sqft
|
|
Semi-D |
|
Jalan Sungai Nipah 6
|
RM550,000
|
RM345
|
1,593 sqft
|
|
2-Sty Terrace |
|
Jalan Sungai Nipah 6
|
RM510,000
|
RM314
|
1,625 sqft
|
|
2-Sty Terrace |
Selling in Palmyra Residences? Homes here sold for a median of RM530,000.
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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 G
Market Snapshot
ResidentialRM530,000
RM314 psfMedian transaction price
Palmyra Residences, 11020 Balik Pulau, Pulau Pinang, Malaysia
MapsPalmyra Residences in Barat Daya, Penang recorded 4 subsale transactions in 2025, with a median price of RM530K and a median price per square foot (PSF) of RM314.
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 RM530K, with most transactions falling within a stable range of RM510K to RM565K, and a typical market range of RM510K to RM575K.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
The median PSF stands at RM314, with core pricing between RM278 and RM349. Market pricing typically extends from RM282.64 to RM345.14, reflecting moderate variation in unit pricing. With an IQR of RM62.50 and MAD of RM36, 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.