Pusat Perniagaan Mas Merah

Jln Salleh, Taman Mas Jaya, 84000 Muar, Johor Darul Ta'zim, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,850 sqft
2-Sty Shop
RM750,000
Jalan Perniagaan Merah
2,842 sqft · RM264 PSF
RM740,000
Jalan Perniagaan Merah
2,842 sqft · RM260 PSF
RM740,000
Jalan Perniagaan Merah
2,842 sqft · RM260 PSF
4,450 sqft
3-Sty Shop
RM1,025,000
Jalan Merah
4,467 sqft · RM229 PSF
RM1,025,000
Jalan Perniagaan Merah
4,467 sqft · RM229 PSF
5,350 sqft
3-Sty Shop
RM1,438,000
Jalan Perniagaan Merah
5,350 sqft · RM269 PSF
Legend Recent Highest Price Highest PSF

Selling in Pusat Perniagaan Mas Merah? Homes here sold for a median of RM887,500.

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Pusat Perniagaan Mas Merah
© OpenStreetMap · CARTO

Jln Salleh, Taman Mas Jaya, 84000 Muar, Johor Darul Ta'zim, Malaysia

Maps

Pusat Perniagaan Mas Merah in Muar, Johor recorded 6 subsale transactions in 2023, with a median price of RM888K and a median price per square foot (PSF) of RM260.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM888K, with most transactions falling within a stable range of RM740K to RM1.14 million, and a typical market range of RM740K to RM1.07 million.

Most transactions involved 2 - 2 1/2 storey shop, though some variety exists in the market.

For price per square foot, the median is RM260, with most transactions between RM244 and RM277. The usual range is RM175.91 to RM344.91, showing that most units are priced quite close to each other. With an IQR of RM169.00 and MAD of RM16, the PSF demonstrates reasonable consistency across the market.

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.