Villa Mutiara Service Apt.

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

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From
RM600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM250,000
PSF
RM415
Period
transactions middle 50% (P25–P75)
350 sqft
Serviced Apt
RM180,000
Level 14
366 sqft · RM492 PSF
400 sqft
Serviced Apt
RM230,000
Level 11
409 sqft · RM562 PSF
600 sqft
Serviced Apt
RM250,000
Level 12
603 sqft · RM415 PSF
750 sqft
Serviced Apt
RM260,000
Level 9
743 sqft · RM350 PSF
900 sqft
Serviced Apt
RM337,000
Level 11
883 sqft · RM382 PSF
Legend Recent Highest Price Highest PSF

Selling in Villa Mutiara Service Apt.? Homes here sold for a median of RM250,000.

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Villa Mutiara Service Apt.
© OpenStreetMap · CARTO

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

Maps

Villa Mutiara Service Apt. in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM415.

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 RM250K, with most transactions falling within a stable range of RM230K to RM270K, and a typical market range of RM235K to RM265K.

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

The median PSF stands at RM415, with core pricing between RM350 and RM480. Market pricing typically extends from RM359.75 to RM469.75, reflecting moderate variation in unit pricing. The spread of RM110.00 (IQR) and deviation of RM65 (MAD) suggest moderate price variations reflecting different property features.

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.