Taman Seri Akasia
4443, P119, Kampung Mengkuang Titi, 13400 Butterworth, Pulau Pinang, Malaysia
4443, P119, Kampung Mengkuang Titi, 13400 Butterworth, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Akasia 5
|
RM 170,000
|
RM 213
|
797 sqft
|
|
|
Lorong Akasia 4
|
RM 200,000
|
RM 198
|
1,012 sqft
|
|
|
Lorong Akasia 10
|
RM 610,000
|
RM 446
|
1,367 sqft
|
|
|
|
Lorong Seri Akasia 13
|
RM 450,000
|
RM 329
|
1,367 sqft
|
|
|
Lorong Akasia 7
|
RM 310,000
|
RM 207
|
1,496 sqft
|
|
|
Lorong Akasia 20
|
RM 480,000
|
RM 264
|
1,819 sqft
|
|
|
|
Lorong Akasia 20
|
RM 410,000
|
RM 225
|
1,819 sqft
|
|
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Market Snapshot
ResidentialRM 410,000
RM 225 psfMedian transaction price
4443, P119, Kampung Mengkuang Titi, 13400 Butterworth, Pulau Pinang, Malaysia
MapsTaman Seri Akasia in Seberang Perai Tengah, Penang recorded 7 subsale transactions in 2022, with a median price of RM 410K and a median price per square foot (PSF) of RM 225.
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 410K, with most transactions falling within a stable range of RM 264K to RM 556K, and a typical market range of RM 312K to RM 508K.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
Price per square foot shows a median of RM 225, though individual units vary from RM 142 to RM 309 in the core range. The broader market spans RM 181.39 to RM 269.39, indicating diverse property characteristics. A wider spread (IQR: RM 88.00) and deviation (MAD: RM 84) indicate significant PSF variations, likely due to diverse property types or conditions.
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.