Kiara Designer

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

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From
RM600K
Size
800 sqft

Property Transactions

7 subsales found

Median
RM620,000
PSF
RM565
Price Size
Period
transactions middle 50% (P25–P75)
RM600,000
Level 15
1,098 sqft RM546 PSF
RM650,000
Level 3
1,098 sqft RM592 PSF
RM550,000
Level 6
1,098 sqft RM501 PSF
RM730,000
Level 23
1,098 sqft RM665 PSF
RM610,000
Level 5
1,098 sqft RM556 PSF
RM670,000
Level 18
1,098 sqft RM610 PSF
RM620,000
Level 7
1,098 sqft RM565 PSF
Legend Recent Highest Price Highest PSF

Selling in Kiara Designer? Homes here sold for a median of RM620,000.

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Kiara Designer
© OpenStreetMap · CARTO

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

Maps

Kiara Designer in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM620K and a median price per square foot (PSF) of RM565.

This area contains both residential and commercial properties. View 32 residential properties or 6 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM620K, with most transactions falling within a stable range of RM567K to RM673K, and a typical market range of RM550K to RM692K.

Most transactions involved serviced apartment, though some variety exists in the market.

For price per square foot, the median is RM565, with most transactions between RM516 and RM613. The usual range is RM514.08 to RM615.33, showing that most units are priced quite close to each other. With an IQR of RM101.25 and MAD of RM48, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.