Taman Seri Maju

No 18, Jln Maju 2/2, Kampung Bukit Changgang, 42700 Banting, Selangor, Malaysia

Property Transactions

7 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM382,000
Tg Dua Belas
1,408 sqft RM271 PSF
RM382,000
Tg Dua Belas
1,408 sqft RM271 PSF
RM382,000
Tg Dua Belas
1,408 sqft RM271 PSF
RM375,000
Jalan Sbc
1,399 sqft RM268 PSF
RM375,000
Jalan Sbc
1,399 sqft RM268 PSF
RM375,000
Jalan Sbc
1,399 sqft RM268 PSF
RM375,000
Jalan Sbc
1,399 sqft RM268 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Seri Maju? Homes here sold for a median of RM375,000.

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Market Snapshot

Residential

RM375,000

RM268 psf

Median transaction price

Taman Seri Bkt Changgang
© OpenStreetMap · CARTO

Taman Seri Maju, No 18, Jln Maju 2/2, Kampung Bukit Changgang, 42700 Banting, Selangor, Malaysia

Maps

Taman Seri Maju in Kuala Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM375K and a median price per square foot (PSF) of RM268.

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 RM375K, with most transactions falling within a stable range of RM375K to RM378K, and a typical market range of RM375K to RM382K.

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

For price per square foot, the median is RM268, with most transactions between RM266 and RM270. The usual range is RM252.99 to RM282.99, showing that most units are priced quite close to each other. A typical spread (IQR) of RM30.00 and an average deviation (MAD) of RM2 indicate a highly stable PSF trend across properties.

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.