| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Kelisa 2
|
RM230,000
|
RM177
|
1,302 sqft
|
|
|
|
Jalan Kelisa 4
|
RM200,000
|
RM154
|
1,302 sqft
|
|
|
|
Jalan Kelisa 2
|
RM210,000
|
RM161
|
1,302 sqft
|
|
|
|
Jalan Kelisa 3
|
RM160,000
|
RM123
|
1,302 sqft
|
|
|
|
Jalan Kelisa 5
|
RM185,000
|
RM142
|
1,302 sqft
|
|
|
|
Jalan Kelisa 5
|
RM200,000
|
RM154
|
1,302 sqft
|
|
|
|
Jalan Kelisa 4
|
RM170,000
|
RM131
|
1,302 sqft
|
|
|
Jalan Kelisa 2
|
RM190,000
|
RM139
|
1,367 sqft
|
|
|
Jalan Kelisa 2
|
RM190,000
|
RM129
|
1,475 sqft
|
|
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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 K.linggi
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Market Snapshot
ResidentialRM190,000
RM142 psfMedian transaction price
Rumah Rakyat Pengkalan Durian, 71150 Linggi, Negeri Sembilan, Malaysia
MapsTaman Kelisa in Alor Gajah, Melaka recorded 9 subsale transactions between 2021 and 2026, with a median price of RM190K and a median price per square foot (PSF) of RM142.
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 RM190K, with most transactions falling within a stable range of RM180K to RM200K, and a typical market range of RM183K to RM198K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM142, with most transactions between RM130 and RM154. The usual range is RM130.54 to RM153.54, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.00 and an average deviation (MAD) of RM12 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.