Flat Mak Mandin
Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Pulau Pinang, Malaysia
Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM60,000
|
RM107
|
560 sqft
|
|
|
|
Level 4
|
RM95,000
|
RM170
|
560 sqft
|
|
|
|
Level 3
|
RM70,000
|
RM125
|
560 sqft
|
|
|
|
Level 1
|
RM73,000
|
RM128
|
570 sqft
|
|
|
|
Level 4
|
RM53,000
|
RM95
|
560 sqft
|
|
Selling in Flat Mak Mandin? Homes here sold for a median of RM73,000.
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Flat Mak Mandin
Taman Riang (Spu)
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 Butterworth
Market Snapshot
ResidentialRM73,000
RM128 psfMedian transaction price
Flat Mak Mandin, Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Pulau Pinang, Malaysia
MapsFlat Mak Mandin in Seberang Perai Utara, Penang recorded 7 subsale transactions in 2021, with a median price of RM73K and a median price per square foot (PSF) of RM128.
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 RM73K, with most transactions falling within a stable range of RM60K to RM86K, and a typical market range of RM64K to RM82K.
Most transactions involved low-cost flat, with minimal variety in property types.
Price per square foot shows a median of RM128, though individual units vary from RM92 to RM164 in the core range. The broader market spans RM111.46 to RM144.46, indicating diverse property characteristics. A wider spread (IQR: RM33.00) and deviation (MAD: RM36) indicate significant PSF variations, likely due to diverse property types or conditions.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.