Kaw Perusahaan Bkt Angkat

Bandar Kajang, 43000 Kajang, Selangor, Malaysia

Property Transactions

5 subsales found

Median
RM1,100,000
PSF
RM417
Price Size
Period
transactions middle 50% (P25–P75)
RM1,100,000
Jalan Bukit Angkat 6
2,637 sqft RM417 PSF
RM1,140,000
Jalan Ba 2
2,637 sqft RM432 PSF
RM1,250,000
Jalan Ba/11
2,637 sqft RM474 PSF
RM1,100,000
Jalan Ba/12
2,637 sqft RM417 PSF
RM980,000
Jalan Ba/12
2,637 sqft RM372 PSF
Legend Recent Highest Price Highest PSF

Selling in Kaw Perusahaan Bkt Angkat? Homes here sold for a median of RM1,100,000.

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Market Snapshot

Commercial

RM1,100,000

RM417 psf

Median transaction price

Kaw Perusahaan Bkt Angkat
© OpenStreetMap · CARTO

Bandar Kajang, 43000 Kajang, Selangor, Malaysia

Maps

Kaw Perusahaan Bkt Angkat in Hulu Langat, Selangor recorded 5 subsale transactions between 2021 and 2026, sized between 2,625 and 2,674 sqft, with a median price of RM1.10 million and a median price per square foot (PSF) of RM417.

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 RM1.10 million, with most transactions falling within a stable range of RM1.01 million to RM1.19 million, and a typical market range of RM980K to RM1.25 million.

Most transactions involved semi-detached factory/warehouse, with moderate diversity in property types available.

For price per square foot, the median is RM417, with most transactions between RM384 and RM450. The usual range is RM253.87 to RM580.37, showing that most units are priced quite close to each other. With an IQR of RM326.50 and MAD of RM33, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.