| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Serkam
|
RM 170,000
|
RM 155
|
1,098 sqft
|
|
LC House |
|
Jalan Seri 15
|
RM 160,000
|
RM 146
|
1,098 sqft
|
|
LC House |
|
Jalan Seri 17
|
RM 150,000
|
RM 137
|
1,098 sqft
|
|
LC House |
|
Jalan Taman Seri Serkam
|
RM 115,000
|
RM 105
|
1,098 sqft
|
|
LC House |
|
Jalan Sri 15
|
RM 205,000
|
RM 187
|
1,098 sqft
|
|
Terrace |
|
Jalan Seri Permata
|
RM 250,000
|
RM 209
|
1,195 sqft
|
|
|
|
Jalan Seri 14
|
RM 200,000
|
RM 167
|
1,195 sqft
|
|
|
|
Jalan Seri 14
|
RM 180,000
|
RM 149
|
1,206 sqft
|
|
|
|
Jalan Seri 14
|
RM 180,000
|
RM 149
|
1,206 sqft
|
|
|
|
Jalan Seri 14
|
RM 250,000
|
RM 209
|
1,195 sqft
|
|
|
|
Jalan Seri 14
|
RM 170,000
|
RM 142
|
1,195 sqft
|
|
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Market Snapshot
ResidentialRM 180,000
RM 153 psfMedian transaction price
2029, Jalan Seri Permata, Taman Seri Serkam, 77300 Merlimau, Melaka, Malaysia
MapsTaman Seri Serkam in Jasin, Melaka recorded 17 subsale transactions between 2021 and 2026, with a median price of RM 180K and a median price per square foot (PSF) of RM 187.
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 RM 180K, with most transactions falling within a stable range of RM 160K to RM 200K, and a typical market range of RM 165K to RM 195K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM 187, with most transactions between RM 173 and RM 201. The usual range is RM 174.22 to RM 199.22, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 25.00 and an average deviation (MAD) of RM 14 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.