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

9 subsales grouped by size

Median
RM315,000
PSF
RM404
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Condo
RM300,000
Level 6
743 sqft · RM404 PSF
RM320,000
Level 4
743 sqft · RM431 PSF
RM334,000
Level 2
743 sqft · RM450 PSF
RM285,000
Level 3
743 sqft · RM384 PSF
RM315,000
Level 4
743 sqft · RM424 PSF
RM290,000
Level 2
747 sqft · RM388 PSF
RM290,000
Level 6
743 sqft · RM390 PSF
900 sqft
Condo
RM370,000
Level 2
904 sqft · RM409 PSF
RM345,000
Level 4
904 sqft · RM382 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM315,000

RM404 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 9 subsale transactions in 2023, with a median price of RM315K and a median price per square foot (PSF) of RM404.

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 RM315K, with most transactions falling within a stable range of RM288K to RM342K, and a typical market range of RM287K to RM343K.

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

For price per square foot, the median is RM404, with most transactions between RM382 and RM426. The usual range is RM391.56 to RM416.31, showing that most units are priced quite close to each other. A typical spread (IQR) of RM24.75 and an average deviation (MAD) of RM22 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.