Bandar Manjalara

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Property Transactions

4 subsales found

Median
RM1,750,000
PSF
RM618
Price Size
Period
transactions middle 50% (P25–P75)
RM2,468,000
Jalan 5/62A
2,831 sqft RM872 PSF
RM1,400,000
Jalan 3/62B
2,831 sqft RM495 PSF
RM2,100,000
Jalan 5/62A
2,831 sqft RM742 PSF
RM1,300,000
Jalan 3/62B
2,831 sqft RM459 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Manjalara? Homes here sold for a median of RM1,750,000.

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Market Snapshot

Commercial

RM1,750,000

RM618 psf

Median transaction price

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Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Bandar Manjalara in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, sized between 2,825 and 2,874 sqft, with a median price of RM1.75 million and a median price per square foot (PSF) of RM618.

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 RM1.75 million, with most transactions falling within a stable range of RM1.30 million to RM2.24 million, and a typical market range of RM1.30 million to RM2.33 million.

Most transactions involved 3 - 3 1/2 storey shop, with high diversity across multiple property types.

Price per square foot shows a median of RM618, though individual units vary from RM446 to RM790 in the core range. The broader market spans RM292.43 to RM943.93, indicating diverse property characteristics. A wider spread (IQR: RM651.50) and deviation (MAD: RM172) indicate significant PSF variations, likely due to diverse property types or conditions.

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.