Taman Sri Maju(P/L)5407)

Jalan Dengkil-Banting, Taman Seri Maju, Bukit Changgang, 42700 Banting, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM390,000
Jalan Maju 11
1,399 sqft · RM279 PSF
2,050 sqft
Terrace
RM500,000
Jalan Maju 11
2,034 sqft · RM246 PSF
2,800 sqft
Terrace
RM560,000
Jalan Maju
2,799 sqft · RM200 PSF
2,850 sqft
Semi-D
RM400,000
Jalan Maju 11
2,874 sqft · RM139 PSF
2,900 sqft
Semi-D
RM530,000
Jalan Maju 11
2,917 sqft · RM182 PSF
3,050 sqft
Semi-D
RM470,000
Jalan Maju 11
3,046 sqft · RM154 PSF
Legend Recent Highest Price Highest PSF

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Taman Sri Maju(P/L)5407)
© OpenStreetMap · CARTO

Jalan Dengkil-Banting, Taman Seri Maju, Bukit Changgang, 42700 Banting, Selangor, Malaysia

Maps

Taman Sri Maju(P/L)5407) in Kuala Langat, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM485K and a median price per square foot (PSF) of RM200.

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 RM485K, with most transactions falling within a stable range of RM425K to RM545K, and a typical market range of RM433K to RM538K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with moderate diversity in property types available.

Price per square foot shows a median of RM200, though individual units vary from RM156 to RM245 in the core range. The broader market spans RM163.35 to RM236.85, indicating diverse property characteristics. The spread of RM73.50 (IQR) and deviation of RM45 (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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.