Property Type
| LIST.MY · Rpt Desa Sri Ampang | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Desa Ampang 8
|
RM520,000
|
RM145
|
3,595 sqft
|
|
Bungalow |
|
Jalan Desa Ampang 13
|
RM500,000
|
RM92
|
5,436 sqft
|
|
Bungalow |
|
Jalan Desa Ampang 10
|
RM400,000
|
RM111
|
3,595 sqft
|
|
Bungalow |
|
Jalan Desa Ampang 23
|
RM300,000
|
RM67
|
4,499 sqft
|
|
Bungalow |
Selling in Rpt Desa Sri Ampang? Homes here sold for a median of RM450,000.
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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 Ulu Kinta
Market Snapshot
ResidentialRM450,000
RM102 psfMedian transaction price
RPT DESA SRI AMPANG, Taman Desa Sri Ampang, Ulu Kinta, Kinta, Perak, Malaysia
Rpt Desa Sri Ampang in Kinta, Perak recorded 4 subsale transactions in 2023, with a median price of RM450K and a median price per square foot (PSF) of RM102.
This area contains both residential and commercial properties. View 17 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM450K, with most transactions falling within a stable range of RM362K to RM520K, and a typical market range of RM393K to RM508K.
Most transactions involved detached, though some variety exists in the market.
Price per square foot shows a median of RM102, though individual units vary from RM73 to RM130 in the core range. The broader market spans RM77.62 to RM125.62, indicating diverse property characteristics. A wider spread (IQR: RM48.00) and deviation (MAD: RM28) 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.