Taman Bajuri

42700 Banting, Selangor, Malaysia

Property Transactions

18 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM467,000
2,422 sqft
RM193 PSF · Semi-D
RM467,000
2,422 sqft
RM193 PSF · Semi-D
RM500,000
3,434 sqft
RM146 PSF · Semi-D
RM467,000
2,422 sqft
RM193 PSF · Semi-D
RM467,000
2,465 sqft
RM189 PSF · Semi-D
RM467,000
2,486 sqft
RM188 PSF · Semi-D
+4 more
RM300,000
1,195 sqft
RM251 PSF
RM260,000
1,195 sqft
RM218 PSF
RM680,000
4,026 sqft
RM169 PSF
RM690,000
4,026 sqft
RM171 PSF
RM330,000
1,378 sqft
RM240 PSF
RM430,000
1,281 sqft
RM336 PSF
RM420,000
2,433 sqft
RM173 PSF
RM330,000
1,378 sqft
RM240 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM420,000

RM181 psf

Median transaction price

Taman Bajuri
© OpenStreetMap · CARTO

Taman Bajuri, 42700 Banting, Selangor, Malaysia

Maps

Taman Bajuri in Kuala Langat, Selangor recorded 18 subsale transactions between 2021 and 2026, with a median price of RM467K and a median price per square foot (PSF) of RM189.

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 RM467K, with most transactions falling within a stable range of RM425K to RM509K, and a typical market range of RM444K to RM491K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with high diversity across multiple property types.

For price per square foot, the median is RM189, with most transactions between RM171 and RM208. The usual range is RM178.09 to RM200.84, showing that most units are priced quite close to each other. A typical spread (IQR) of RM22.75 and an average deviation (MAD) of RM19 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.