| LIST.MY · Taman Tun Sardon | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Pintasan Pemancar 5
|
RM260,000
|
RM575
|
452 sqft
|
|
LC House |
|
Level G
|
RM150,000
|
RM284
|
528 sqft
|
|
LC Flat |
|
Level 4
|
RM103,000
|
RM191
|
538 sqft
|
|
LC Flat |
|
Level 3
|
RM140,000
|
RM265
|
528 sqft
|
|
LC Flat |
|
Level 2
|
RM130,000
|
RM246
|
528 sqft
|
|
LC Flat |
|
Level 1
|
RM210,000
|
RM390
|
538 sqft
|
|
LC Flat |
Selling in Taman Tun Sardon? Homes here sold for a median of RM145,000.
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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 Gelugor
Market Snapshot
ResidentialRM145,000
RM275 psfMedian transaction price
Taman Tun Sardon, 11700 Gelugor, Penang, Malaysia
MapsTaman Tun Sardon in Timur Laut, Penang recorded 6 subsale transactions in 2024, with a median price of RM145K and a median price per square foot (PSF) of RM275.
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 RM145K, with most transactions falling within a stable range of RM103K to RM198K, and a typical market range of RM126K to RM164K.
Most transactions involved low-cost flat, though some variety exists in the market.
Price per square foot shows a median of RM275, though individual units vary from RM148 to RM401 in the core range. The broader market spans RM240.89 to RM308.39, indicating diverse property characteristics. A wider spread (IQR: RM67.50) and deviation (MAD: RM127) 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.