| Price | PSF | Size | Date | Type |
|---|
|
RM125,000
|
RM114
|
1,098 sqft
|
|
|
|
RM125,000
|
RM114
|
1,098 sqft
|
|
|
|
RM135,000
|
RM123
|
1,098 sqft
|
|
|
RM140,000
|
RM128
|
1,098 sqft
|
|
|
|
RM145,000
|
RM132
|
1,098 sqft
|
|
|
|
RM120,000
|
RM109
|
1,098 sqft
|
|
|
RM185,000
|
RM169
|
1,098 sqft
|
|
|
|
RM110,000
|
RM100
|
1,098 sqft
|
|
|
RM130,000
|
RM118
|
1,098 sqft
|
|
|
|
RM160,000
|
RM146
|
1,098 sqft
|
|
|
RM200,000
|
RM84
|
2,379 sqft
|
|
|
|
RM140,000
|
RM128
|
1,098 sqft
|
|
Selling in Taman Politeknik Jasin? Homes here sold for a median of RM137,500.
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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 Merlimau
Market Snapshot
ResidentialRM137,500
RM121 psfMedian transaction price
77300 Merlimau, Malacca, Malaysia
MapsTaman Politeknik Jasin in Jasin, Melaka recorded 16 subsale transactions between 2021 and 2026, with a median price of RM138K and a median price per square foot (PSF) of RM123.
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 RM138K, with most transactions falling within a stable range of RM125K to RM150K, and a typical market range of RM124K to RM151K.
Most transactions involved low-cost house, with minimal variety in property types.
For price per square foot, the median is RM123, with most transactions between RM111 and RM134. The usual range is RM112.71 to RM133.21, showing that most units are priced quite close to each other. A typical spread (IQR) of RM20.50 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.