Taman Maju - Tr 637

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

Property Transactions

9 subsales grouped by size

Median
RM 880,000
PSF
RM 197
4,450 sqft
3-Sty Shop
RM 850,000
Jalan Maju 1
4,467 sqft · RM 190 PSF
RM 870,000
Jalan Maju Timur
4,467 sqft · RM 195 PSF
RM 880,000
Jalan Maju 3
4,467 sqft · RM 197 PSF
RM 1,000,000
Jalan Maju Timur
4,467 sqft · RM 224 PSF
RM 788,000
Jalan Maju 1
4,467 sqft · RM 176 PSF
RM 790,000
Jalan Maju 1
4,467 sqft · RM 177 PSF
4,500 sqft
3-Sty Shop
RM 900,000
Jalan Maju 1
4,499 sqft · RM 200 PSF
RM 918,000
Jalan Maju 3
4,499 sqft · RM 204 PSF
4,600 sqft
3-Sty Shop
RM 1,500,000
Jalan Maju Timur
4,607 sqft · RM 326 PSF
Legend Recent Highest Price Highest PSF
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 RM 880K and a median price per square foot (PSF) of RM 197.

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 RM 880K, with most transactions falling within a stable range of RM 842K to RM 918K, and a typical market range of RM 846K to RM 914K.

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

Price per square foot shows a median of RM 197, though individual units vary from RM 154 to RM 240 in the core range. The broader market spans RM 160.50 to RM 233.50, indicating diverse property characteristics. The spread of RM 73.00 (IQR) and deviation of RM 43 (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.