Taman Bukit Erskine
Persiaran Halia 3, 10470 Tanjung Tokong, Pulau Pinang, Malaysia
Persiaran Halia 3, 10470 Tanjung Tokong, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 17
|
RM265,000
|
RM405
|
654 sqft
|
|
|
|
Level 31
|
RM290,000
|
RM443
|
654 sqft
|
|
|
|
Level 15
|
RM305,000
|
RM466
|
654 sqft
|
|
|
|
Level 20
|
RM300,000
|
RM459
|
654 sqft
|
|
|
|
Level 20
|
RM275,000
|
RM421
|
654 sqft
|
|
|
|
Level 21
|
RM260,000
|
RM398
|
654 sqft
|
|
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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 18
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Market Snapshot
ResidentialRM292,500
RM447 psfMedian transaction price
Does TAMAN BUKIT ERSKINE rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
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Persiaran Halia 3, 10470 Tanjung Tokong, Pulau Pinang, Malaysia
MapsTaman Bukit Erskine in Timur Laut, Penang recorded 18 subsale transactions in 2022, with a median price of RM293K and a median price per square foot (PSF) of RM447.
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 RM293K, with most transactions falling within a stable range of RM271K to RM314K, and a typical market range of RM274K to RM311K.
Most transactions involved flats, with minimal variety in property types.
For price per square foot, the median is RM447, with most transactions between RM414 and RM480. The usual range is RM419.25 to RM475.00, showing that most units are priced quite close to each other. With an IQR of RM55.75 and MAD of RM33, 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.