Avenue Apartment

Petaling, Selangor, Malaysia

Property Transactions

19 subsales grouped by size

Median
RM300,000
PSF
RM324
Period
transactions middle 50% (P25–P75)
950 sqft
Condo
RM245,000
Level 6
926 sqft · RM265 PSF
RM278,000
Level 12
926 sqft · RM300 PSF
RM270,000
Level 7
926 sqft · RM292 PSF
RM374,000
Level 4
926 sqft · RM404 PSF
RM270,000
Level 4
926 sqft · RM292 PSF
RM285,000
Level 6
926 sqft · RM308 PSF
+13 more
Legend Recent Highest Price Highest PSF

Selling in Avenue Apartment? Homes here sold for a median of RM300,000.

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Market Snapshot

Residential

RM300,000

RM324 psf

Median transaction price

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Petaling, Selangor, Malaysia

Maps

Avenue Apartment in Kuala Lumpur recorded 19 subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM324.

Nothing is listed in Avenue Apartment right now. Browse properties for sale in Mukim Petaling and properties for rent in Mukim Petaling nearby, then use the 19 sales recorded here to judge whether an asking price is fair.

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 RM300K, with most transactions falling within a stable range of RM278K to RM322K, and a typical market range of RM272K to RM328K.

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

For price per square foot, the median is RM324, with most transactions between RM300 and RM348. The usual range is RM293.83 to RM354.33, showing that most units are priced quite close to each other. With an IQR of RM60.50 and MAD of RM24, 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.