| Price | PSF | Size | Date | Type |
|---|
|
RM 280,000
|
RM 189
|
1,478 sqft
|
|
Terrace |
|
RM 630,000
|
RM 163
|
3,875 sqft
|
|
Semi-D |
|
RM 630,000
|
RM 150
|
4,187 sqft
|
|
Semi-D |
|
RM 589,000
|
RM 141
|
4,187 sqft
|
|
Semi-D |
|
RM 270,000
|
RM 183
|
1,473 sqft
|
|
Terrace |
|
RM 499,000
|
RM 133
|
3,745 sqft
|
|
Semi-D |
|
RM 500,000
|
RM 193
|
2,594 sqft
|
|
Semi-D |
|
RM 260,000
|
RM 182
|
1,430 sqft
|
|
Terrace |
|
RM 220,000
|
RM 154
|
1,430 sqft
|
|
Terrace |
|
RM 230,000
|
RM 161
|
1,430 sqft
|
|
Terrace |
|
RM 300,000
|
RM 160
|
1,875 sqft
|
|
|
|
RM 232,000
|
RM 162
|
1,430 sqft
|
|
|
RM 220,000
|
RM 154
|
1,430 sqft
|
|
|
|
RM 275,000
|
RM 157
|
1,749 sqft
|
|
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Market Snapshot
ResidentialRM 265,000
RM 161 psfMedian transaction price
Taman Mulia, Kampung Tanjung Gading, 84000 Muar, Johor, Malaysia
MapsTaman Mulia - Tr 181 in Tangkak, Johor recorded 15 subsale transactions between 2021 and 2026, with a median price of RM 280K and a median price per square foot (PSF) of RM 161.
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 280K, with most transactions falling within a stable range of RM 230K to RM 330K, and a typical market range of RM 220K to RM 407K.
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 161, with most transactions between RM 151 and RM 171. The usual range is RM 150.59 to RM 171.09, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 20.50 and an average deviation (MAD) of RM 10 indicate a highly stable PSF trend across properties.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.