Taman Seri Alma

Taman Sri Alma, 14000 Bukit Mertajam, Penang, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 1,056,000
PSF
RM 355
Price Size
2,950 sqft
Semi-D
RM 1,030,000
Lorong Seri Alma 1
2,971 sqft · RM 347 PSF
RM 1,055,000
Lorong Seri Alma 1
2,971 sqft · RM 355 PSF
RM 1,056,000
Lorong Seri Alma 1
2,971 sqft · RM 355 PSF
RM 1,188,000
Lorong Seri Alma 1
2,971 sqft · RM 400 PSF
RM 1,056,000
Lorong Seri Alma 1
2,971 sqft · RM 355 PSF
RM 1,133,000
Lorong Seri Alma 1
2,971 sqft · RM 381 PSF
RM 1,134,000
Lorong Seri Alma 1
2,971 sqft · RM 382 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,056,000

RM 355 psf

Median transaction price

Taman Seri Alma
© OpenStreetMap · CARTO

Taman Sri Alma, 14000 Bukit Mertajam, Penang, Malaysia

Maps

Taman Seri Alma in Seberang Perai Tengah, Penang recorded 7 subsale transactions in 2023, with a median price of RM 1.06 million and a median price per square foot (PSF) of RM 355.

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 RM 1.06 million, with most transactions falling within a stable range of RM 1.03 million to RM 1.11 million, and a typical market range of RM 1.03 million to RM 1.10 million.

Most transactions involved 2 - 2 1/2 storey semi-detached, with minimal variety in property types.

For price per square foot, the median is RM 355, with most transactions between RM 337 and RM 374. The usual range is RM 339.71 to RM 371.21, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 31.50 and an average deviation (MAD) of RM 18 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.