Taman Sukaria
Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Penang, Malaysia
Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Penang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 80,000
|
RM 130
|
614 sqft
|
|
|
|
Level 3
|
RM 65,000
|
RM 106
|
614 sqft
|
|
|
|
Level 2
|
RM 96,000
|
RM 156
|
614 sqft
|
|
|
|
Level 1
|
RM 75,000
|
RM 122
|
614 sqft
|
|
|
Lintang Mak Mandin 2
|
RM 457,000
|
RM 289
|
1,582 sqft
|
|
|
|
Solok Mak Mandin
|
RM 415,000
|
RM 262
|
1,582 sqft
|
|
Posts about Taman Sukaria
No posts about Taman Sukaria yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 90,000
RM 156 psfMedian transaction price
Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Penang, Malaysia
MapsTaman Sukaria in Seberang Perai Utara, Penang recorded 7 subsale transactions in 2022, with a median price of RM 90K and a median price per square foot (PSF) of RM 156.
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 90K, with most transactions falling within a stable range of RM 65K to RM 251K, and a typical market range of RM 66K to RM 114K.
Most transactions involved low-cost flat, though some variety exists in the market.
Price per square foot shows a median of RM 156, though individual units vary from RM 90 to RM 222 in the core range. The broader market spans RM 121.47 to RM 191.47, indicating diverse property characteristics. A wider spread (IQR: RM 70.00) and deviation (MAD: RM 66) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.