Alila Horizons Condominium

Tanjung Tokong, 11200 Tanjung Bungah, Penang, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM1,600,000
PSF
RM546
Price Size
Period
transactions middle 50% (P25–P75)
2,950 sqft
Condo
RM1,500,000
Level 16
2,928 sqft · RM512 PSF
RM1,700,000
Level 18
2,928 sqft · RM581 PSF
Legend Recent Highest Price Highest PSF

Selling in Alila Horizons Condominium? Homes here sold for a median of RM1,600,000.

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Market Snapshot

Residential

RM1,600,000

RM546 psf

Median transaction price

Low

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Alila Horizons Condominium
© OpenStreetMap · CARTO

Tanjung Tokong, 11200 Tanjung Bungah, Penang, Malaysia

Maps

Alila Horizons Condominium in Timur Laut, Penang recorded 2 subsale transactions between 2021 and 2026, sized between 2,925 and 2,974 sqft, with a median price of RM1.60 million 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 RM1.60 million, with most transactions falling within a stable range of RM1.50 million to RM1.70 million, and a typical market range of RM1.57 million to RM1.63 million.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM546, with most transactions between RM512 and RM581. The usual range is RM521.99 to RM570.99, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.00 and an average deviation (MAD) of RM34 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. 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.