Amverton Park
Jln Sungai Merbau 32/76, Seksyen 32, 40460 Shah Alam, Selangor, Malaysia
Jln Sungai Merbau 32/76, Seksyen 32, 40460 Shah Alam, Selangor, Malaysia
| LIST.MY · Amverton Park | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Sungai Merbau 32/76C
|
RM1,900,000
|
RM352
|
5,403 sqft
|
|
Bungalow |
| 2024 | |||||
|
Jalan 32/76B
|
RM2,350,000
|
RM435
|
5,403 sqft
|
|
Bungalow |
| 2023 | |||||
|
Sungai Merbau 32/78 Amverton Park
|
RM2,120,000
|
RM392
|
5,403 sqft
|
|
Bungalow |
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Amverton Park
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 Kelang
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Jln Sungai Merbau 32/76, Seksyen 32, 40460 Shah Alam, Selangor, Malaysia
MapsAmverton Park in Klang, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 5,375 and 5,424 sqft, with a median price of RM2.12 million and a median price per square foot (PSF) of RM392.
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 RM2.12 million, with most transactions falling within a stable range of RM1.94 million to RM2.30 million, and a typical market range of RM1.93 million to RM2.31 million.
Most transactions involved detached, with minimal variety in property types.
For price per square foot, the median is RM392, with most transactions between RM358 and RM426. The usual range is RM381.22 to RM403.47, showing that most units are priced quite close to each other. A typical spread (IQR) of RM22.25 and an average deviation (MAD) of RM34 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.