| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Desa 4/3
|
RM810,000
|
RM284
|
2,854 sqft
|
|
|
|
Jalan Desa 4/3
|
RM873,000
|
RM309
|
2,827 sqft
|
|
|
Jalan Desa 2
|
RM1,360,000
|
RM459
|
2,966 sqft
|
|
|
|
Jalan Desa 2
|
RM1,100,000
|
RM371
|
2,966 sqft
|
|
|
|
Jalan Desa 4/3
|
RM820,000
|
RM279
|
2,934 sqft
|
|
|
|
Jalan Desa 4/3
|
RM821,000
|
RM277
|
2,961 sqft
|
|
|
Jalan Desa 4/3
|
RM980,000
|
RM262
|
3,744 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 Bandar
Market Snapshot
ResidentialRM873,000
RM284 psfMedian transaction price
Taman Desa, 84000 Muar, Johor Darul Ta'zim, Malaysia
MapsTaman Desa (Tr 173) in Muar, Johor recorded 7 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM873K and a median price per square foot (PSF) of RM284.
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 RM873K, with most transactions falling within a stable range of RM810K to RM1.06 million, and a typical market range of RM810K to RM1.12 million.
Within the Double Storey Semi-D category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM284, though individual units vary from RM218 to RM349 in the core range. The broader market spans RM236.36 to RM331.36, indicating diverse property characteristics. The spread of RM95.00 (IQR) and deviation of RM66 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.