Sunway Wellesley @ Precint
1, Jln Muthu Palaniappan, 14000 Bukit Mertajam, Pulau Pinang, Malaysia
1, Jln Muthu Palaniappan, 14000 Bukit Mertajam, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Muthu Palanniappan
|
RM1,400,000
|
RM376
|
3,724 sqft
|
|
Posts about Sunway Wellesley @ Precint
No posts about Sunway Wellesley @ Precint yet. Be the first to share what’s happening here.
Nearby areas in Mukit Mertajam
Bandar Bukit Mertajam
Sunway Wellesley 2
Taman Usahaniaga
Taman Aston Indah
Taman Jaya
Taman Tan Sai Gin
Taman Ciku
Pangsapuri Duta Emas
Taman Aston Timur
Taman Bukit
Rumah Pangsa Harmoni
Aston Villa
Sunway Wellesley @ Precint
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Mukit Mertajam
Sunway Wellesley @ Precint, 1, Jln Muthu Palaniappan, 14000 Bukit Mertajam, Pulau Pinang, Malaysia
MapsSunway Wellesley @ Precint in Seberang Perai Tengah, Penang recorded 1 3-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM1.40 million and a median price per square foot (PSF) of RM376.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Within the 3-Storey Shop category, shop unit/retail lot dominated the market, though some variety exists in the market.
For price per square foot, the median is RM376, with most transactions between RM376 and RM376. The usual range is RM180.41 to RM571.41, showing that most units are priced quite close to each other. With an IQR of RM391.00 and MAD of RM0, 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.