Taman Alma (Fasa 4,5 & 6)

fasa 4, 5, Persiaran Seksyen 6/15, 13200 Kepala Batas, Pulau Pinang, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM325,000
Jalan Damai
1,399 sqft · RM232 PSF
RM330,000
Lebuh Damai 2
1,399 sqft · RM236 PSF
RM330,000
Tingkat Damai 2
1,399 sqft · RM236 PSF
2,950 sqft
Semi-D
RM490,000
Lorong Damai 1
2,949 sqft · RM166 PSF
3,900 sqft
Semi-D
RM495,000
Lintang Damai
3,878 sqft · RM128 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Alma (Fasa 4,5 & 6)? Homes here sold for a median of RM330,000.

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Market Snapshot

Residential

RM330,000

RM232 psf

Median transaction price

Taman Alma (Fasa 4,5 & 6)
© OpenStreetMap · CARTO

fasa 4, 5, Persiaran Seksyen 6/15, 13200 Kepala Batas, Pulau Pinang, Malaysia

Maps

Taman Alma (Fasa 4,5 & 6) in Seberang Perai Tengah, Penang recorded 5 subsale transactions in 2022, with a median price of RM330K and a median price per square foot (PSF) of RM232.

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 RM330K, with most transactions falling within a stable range of RM325K to RM410K, and a typical market range of RM325K to RM401K.

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

The median PSF stands at RM232, with core pricing between RM188 and RM277. Market pricing typically extends from RM185.39 to RM279.14, reflecting moderate variation in unit pricing. The spread of RM93.75 (IQR) and deviation of RM45 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.