Taman Sungai Abong Mulia - Tr 310

Taman Sungai Abong Mulia, 84000 Muar, Johor Darul Ta'zim, Malaysia

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,100 sqft
Terrace
RM490,000
Jalan Cenderasari
2,099 sqft · RM233 PSF
2,650 sqft
Terrace
RM500,000
Jalan Sungai Abong
2,626 sqft · RM190 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sungai Abong Mulia - Tr 310? Homes here sold for a median of RM495,000.

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Market Snapshot

Residential

RM495,000

RM212 psf

Median transaction price

Taman Sungai Abong Mulia - Tr 310
© OpenStreetMap · CARTO

Taman Sungai Abong Mulia, 84000 Muar, Johor Darul Ta'zim, Malaysia

Maps

Taman Sungai Abong Mulia - Tr 310 in Muar, Johor recorded 2 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM495K and a median price per square foot (PSF) of RM212.

This area contains both residential and commercial properties. View 10 residential properties or 10 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM495K, with most transactions falling within a stable range of RM490K to RM500K, and a typical market range of RM490K to RM500K.

Within the Single Storey Terraced category, 2 - 2 1/2 storey shop dominated the market, with high diversity across multiple property types.

The median PSF stands at RM212, with core pricing between RM190 and RM233. Market pricing typically extends from RM161.10 to RM262.35, reflecting moderate variation in unit pricing. With an IQR of RM101.25 and MAD of RM22, 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.