Taman Maju - Tr 637

Taman Maju, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM880,000
PSF
RM197
Period
transactions middle 50% (P25–P75)
4,450 sqft
3-Sty Shop
RM850,000
Jalan Maju 1
4,467 sqft · RM190 PSF
RM870,000
Jalan Maju Timur
4,467 sqft · RM195 PSF
RM880,000
Jalan Maju 3
4,467 sqft · RM197 PSF
RM1,000,000
Jalan Maju Timur
4,467 sqft · RM224 PSF
RM788,000
Jalan Maju 1
4,467 sqft · RM176 PSF
RM790,000
Jalan Maju 1
4,467 sqft · RM177 PSF
4,500 sqft
3-Sty Shop
RM900,000
Jalan Maju 1
4,499 sqft · RM200 PSF
RM918,000
Jalan Maju 3
4,499 sqft · RM204 PSF
4,600 sqft
3-Sty Shop
RM1,500,000
Jalan Maju Timur
4,607 sqft · RM326 PSF
Legend Recent Highest Price Highest PSF

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Taman Maju - Tr 637
© OpenStreetMap · CARTO

Taman Maju, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Maps

Taman Maju - Tr 637 in Batu Pahat, Johor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM880K and a median price per square foot (PSF) of RM197.

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 RM880K, with most transactions falling within a stable range of RM842K to RM918K, and a typical market range of RM846K to RM914K.

Most transactions involved 3 - 3 1/2 storey shop, with minimal variety in property types.

Price per square foot shows a median of RM197, though individual units vary from RM154 to RM240 in the core range. The broader market spans RM160.50 to RM233.50, indicating diverse property characteristics. The spread of RM73.00 (IQR) and deviation of RM43 (MAD) suggest moderate price variations reflecting different property features.

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.