Alila Horizons Condominium
Tanjung Tokong, 11200 Tanjung Bungah, Penang, Malaysia
Tanjung Tokong, 11200 Tanjung Bungah, Penang, Malaysia
| LIST.MY · Alila Horizons Condominium | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Level 3
|
RM620,000
|
RM472
|
1,313 sqft
|
|
Condo |
|
Level 12
|
RM823,000
|
RM607
|
1,356 sqft
|
|
Condo |
|
Level 10
|
RM760,000
|
RM579
|
1,313 sqft
|
|
Condo |
|
Level 16
|
RM1,500,000
|
RM512
|
2,928 sqft
|
|
Condo |
Selling in Alila Horizons Condominium? Homes here sold for a median of RM791,500.
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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
Market Snapshot
ResidentialRM791,500
RM546 psfMedian transaction price
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Tanjung Tokong, 11200 Tanjung Bungah, Penang, Malaysia
MapsAlila Horizons Condominium in Timur Laut, Penang recorded 4 subsale transactions in 2023, with a median price of RM792K and a median price per square foot (PSF) of RM546.
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 RM792K, with most transactions falling within a stable range of RM620K to RM1.13 million, and a typical market range of RM762K to RM822K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM546, with most transactions between RM492 and RM599. The usual range is RM521.04 to RM570.04, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.00 and an average deviation (MAD) of RM53 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.