| LIST.MY · Taman Seri Alam (Pec Lot 3288 & 3351) | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Batu Kikir -Kuala Pilah
|
RM269,000
|
RM161
|
1,668 sqft
|
|
Terrace |
|
Jalan Batu Kikir -Kuala Pilah
|
RM269,000
|
RM161
|
1,668 sqft
|
|
Terrace |
| 2021 | |||||
|
Jalan Batu Kikir -Kuala Pilah
|
RM299,000
|
RM179
|
1,668 sqft
|
|
Terrace |
Selling in Taman Seri Alam (Pec Lot 3288 & 3351)? Homes here sold for a median of RM269,000.
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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 Juasseh
Market Snapshot
ResidentialRM269,000
RM161 psfMedian transaction price
49, Jln Seri Alam 1, TamanSeri Alam, 72200 Kuala Pilah, Negeri Sembilan, Malaysia
MapsTaman Seri Alam (Pec Lot 3288 & 3351) in Kuala Pilah, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, sized between 1,625 and 1,674 sqft, with a median price of RM269K and a median price per square foot (PSF) of RM161.
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 RM269K, with most transactions falling within a stable range of RM269K to RM283K, and a typical market range of RM269K to RM284K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM161, with most transactions between RM153 and RM170. The usual range is RM158.36 to RM164.11, showing that most units are priced quite close to each other. A typical spread (IQR) of RM5.75 and an average deviation (MAD) of RM8 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.