Taman Seri Alma
Taman Sri Alma, 14000 Bukit Mertajam, Penang, Malaysia
Taman Sri Alma, 14000 Bukit Mertajam, Penang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Seri Alma
|
RM 1,100,000
|
RM 370
|
2,971 sqft
|
|
|
|
Lorong Seri Alma 2
|
RM 1,000,000
|
RM 337
|
2,971 sqft
|
|
|
|
Lorong Seri Alma 1
|
RM 1,100,000
|
RM 370
|
2,971 sqft
|
|
|
|
Lorong Seri Alma 1
|
RM 1,000,000
|
RM 337
|
2,971 sqft
|
|
|
|
Lorong Seri Alma 2
|
RM 1,000,000
|
RM 337
|
2,971 sqft
|
|
|
Lorong Seri Alma 1
|
RM 1,200,000
|
RM 402
|
2,982 sqft
|
|
|
|
Lorong Seri Alma 1
|
RM 950,000
|
RM 319
|
2,982 sqft
|
|
|
Lorong Seri Alma 2
|
RM 1,150,000
|
RM 365
|
3,154 sqft
|
|
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Market Snapshot
ResidentialRM 1,050,000
RM 351 psfMedian transaction price
Taman Sri Alma, 14000 Bukit Mertajam, Penang, Malaysia
MapsTaman Seri Alma in Seberang Perai Tengah, Penang recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 1.05 million and a median price per square foot (PSF) of RM 351.
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 1.05 million, with most transactions falling within a stable range of RM 968K to RM 1.13 million, and a typical market range of RM 1.00 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 351, with most transactions between RM 325 and RM 376. The usual range is RM 334.87 to RM 366.37, 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 25 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.