| LIST.MY · Taman Desa Sentral (Rpt Kampung. Pisang) | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Laluan Sentral 23
|
RM345,000
|
RM86
|
4,004 sqft
|
|
Bungalow |
|
Laluan Desa Sentral 18
|
RM375,000
|
RM94
|
4,004 sqft
|
|
Bungalow |
| 2022 | |||||
|
Jalan Batu Gajah
|
RM70,000
|
RM17
|
4,004 sqft
|
|
Bungalow |
| 2021 | |||||
|
Laluan Sentral 33
|
RM270,000
|
RM67
|
4,004 sqft
|
|
Bungalow |
Selling in Taman Desa Sentral (Rpt Kampung. Pisang)? Homes here sold for a median of RM307,500.
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Taman Desa Sentral (Rpt Kampung. Pisang)
Marketplace listings
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 Sungei Terap
Taman Desa Sentral (Rpt Kampung. Pisang) in Kinta, Perak recorded 4 subsale transactions between 2021 and 2026, sized between 3,975 and 4,024 sqft, with a median price of RM308K and a median price per square foot (PSF) of RM77.
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 RM308K, with most transactions falling within a stable range of RM189K to RM375K, and a typical market range of RM255K to RM360K.
Most transactions involved detached, with minimal variety in property types.
Price per square foot shows a median of RM77, though individual units vary from RM47 to RM106 in the core range. The broader market spans RM67.29 to RM86.29, indicating diverse property characteristics. A wider spread (IQR: RM19.00) and deviation (MAD: RM30) 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.