| LIST.MY · Taman Sri Gentam | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Gentam
|
RM224,000
|
RM160
|
1,399 sqft
|
|
Terrace |
|
Jalan Gentam
|
RM216,000
|
RM154
|
1,399 sqft
|
|
Terrace |
| 2022 | |||||
|
Jalan Gentam
|
RM216,000
|
RM154
|
1,399 sqft
|
|
Terrace |
Selling in Taman Sri Gentam? Homes here sold for a median of RM216,000.
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Nearby areas in Ampang Tinggi
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Taman Setia Kasih (K Pilah)
Taman Sri Gentam
Taman Bestari
Taman Bukit Ara
Taman Fatimah
Rumah Rakyat Ampang Tinggi
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Taman Wawasan ( K.pilah )
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 Ampang Tinggi
72000, Malaysia, Negeri Sembilan, Kuala Pilah, Taman Seri Gentam
MapsTaman Sri Gentam in Kuala Pilah, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM216K and a median price per square foot (PSF) of RM154.
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 RM216K, with most transactions falling within a stable range of RM216K to RM220K, and a typical market range of RM216K to RM218K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM154, with most transactions between RM152 and RM157. The usual range is RM152.86 to RM155.86, showing that most units are priced quite close to each other. A typical spread (IQR) of RM3.00 and an average deviation (MAD) of RM3 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.