Alila Homes

Tanjung Bungah, Pulau Pinang, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM1,220,000
PSF
RM708
Price Size
Period
transactions middle 50% (P25–P75)
1,700 sqft
2-Sty Terrace
RM1,180,000
Lorong Kejora
1,722 sqft · RM685 PSF
RM1,340,000
Solok Kejora 2
1,722 sqft · RM778 PSF
RM1,340,000
Lorong Kejora
1,722 sqft · RM778 PSF
RM1,300,000
Solok Kejora 2
1,722 sqft · RM755 PSF
RM1,175,000
Solok Kejora 2
1,722 sqft · RM682 PSF
RM1,220,000
Solok Kejora 2
1,722 sqft · RM708 PSF
RM1,000,000
Lorong Kejora
1,722 sqft · RM581 PSF
Legend Recent Highest Price Highest PSF

Selling in Alila Homes? Homes here sold for a median of RM1,220,000.

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Market Snapshot

Residential

RM1,220,000

RM708 psf

Median transaction price

Low

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Alila Homes
© OpenStreetMap · CARTO

Alila Homes, Tanjung Bungah, Pulau Pinang, Malaysia

Maps

Alila Homes in Timur Laut, Penang recorded 7 subsale transactions between 2021 and 2026, sized between 1,675 and 1,724 sqft, with a median price of RM1.22 million and a median price per square foot (PSF) of RM708.

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 RM1.22 million, with most transactions falling within a stable range of RM1.11 million to RM1.33 million, and a typical market range of RM1.10 million to RM1.34 million.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM708, with most transactions between RM644 and RM773. The usual range is RM577.26 to RM839.51, showing that most units are priced quite close to each other. With an IQR of RM262.25 and MAD of RM65, 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.