Unio Residence

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

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From
RM600K
Size
800 sqft

Property Transactions

9 subsales found

Median
RM794,000
PSF
RM696
Price Size
Period
transactions middle 50% (P25–P75)
RM700,000
Level 12
1,141 sqft RM614 PSF
RM680,000
Level 30
1,141 sqft RM596 PSF
RM720,000
Level 19
1,141 sqft RM631 PSF
RM828,000
Level 22
1,141 sqft RM726 PSF
RM856,000
Level 32
1,141 sqft RM750 PSF
RM700,000
Level 19
1,173 sqft RM597 PSF
RM859,000
Level 34
1,141 sqft RM753 PSF
RM794,000
Level 18
1,141 sqft RM696 PSF
RM803,000
Level 21
1,141 sqft RM704 PSF
Legend Recent Highest Price Highest PSF

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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

Maps

Unio Residence in Kuala Lumpur, Kuala Lumpur recorded 9 subsale transactions between 2021 and 2026, sized between 1,125 and 1,174 sqft, with a median price of RM794K and a median price per square foot (PSF) of RM696.

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 RM794K, with most transactions falling within a stable range of RM727K to RM859K, and a typical market range of RM752K to RM836K.

Most transactions involved serviced apartment, with minimal variety in property types.

For price per square foot, the median is RM696, with most transactions between RM635 and RM757. The usual range is RM667.15 to RM724.65, showing that most units are priced quite close to each other. With an IQR of RM57.50 and MAD of RM61, the PSF demonstrates reasonable consistency across the market.

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.