Nova Apartment

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

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From
RM600K
Size
800 sqft

Property Transactions

18 subsales grouped by size

Median
RM294,000
PSF
RM396
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Condo
RM288,000
Level 4
743 sqft · RM388 PSF
RM300,000
Level 6
743 sqft · RM404 PSF
RM330,000
Level 3
743 sqft · RM444 PSF
RM250,000
Level 5
743 sqft · RM337 PSF
RM280,000
Level 5
743 sqft · RM377 PSF
RM300,000
Level 6
743 sqft · RM404 PSF
+12 more
Legend Recent Highest Price Highest PSF

Selling in Nova Apartment? Homes here sold for a median of RM294,000.

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Market Snapshot

Residential

RM294,000

RM396 psf

Median transaction price

Nova Apartment
© OpenStreetMap · CARTO

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

Maps

Nova Apartment in Kuala Lumpur, Kuala Lumpur recorded 18 subsale transactions between 2021 and 2026, sized between 725 and 774 sqft, with a median price of RM294K and a median price per square foot (PSF) of RM396.

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 RM294K, with most transactions falling within a stable range of RM273K to RM315K, and a typical market range of RM266K to RM322K.

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

For price per square foot, the median is RM396, with most transactions between RM368 and RM424. The usual range is RM383.48 to RM408.23, showing that most units are priced quite close to each other. A typical spread (IQR) of RM24.75 and an average deviation (MAD) of RM28 indicate a highly stable PSF trend across properties.

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.