Apartment Bnm

Ss 15, 47500 Subang Jaya, Selangor, Malaysia

Property Transactions

11 subsales grouped by size

Median
RM458,000
PSF
RM635
Period
transactions middle 50% (P25–P75)
700 sqft
Condo
RM503,000
Level G
721 sqft · RM697 PSF
RM490,000
Level G
721 sqft · RM679 PSF
RM454,000
Level G
721 sqft · RM630 PSF
RM436,000
Level 4
721 sqft · RM605 PSF
RM423,000
Level 4
721 sqft · RM587 PSF
RM454,000
Level 3
721 sqft · RM630 PSF
+5 more
Legend Recent Highest Price Highest PSF

Selling in Apartment BNM? Homes here sold for a median of RM458,000.

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Apartment Bnm, Ss 15, 47500 Subang Jaya, Selangor, Malaysia

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Apartment Bnm in Petaling, Selangor recorded 11 subsale transactions between 2021 and 2026, with a median price of RM458K and a median price per square foot (PSF) of RM635.

Nothing is listed in Apartment Bnm right now. Browse properties for sale in Bandar Subang Jaya and properties for rent in Bandar Subang Jaya nearby, then use the 11 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 RM458K, with most transactions falling within a stable range of RM440K to RM476K, and a typical market range of RM444K to RM472K.

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

For price per square foot, the median is RM635, with most transactions between RM610 and RM660. The usual range is RM615.32 to RM654.82, showing that most units are priced quite close to each other. A typical spread (IQR) of RM39.50 and an average deviation (MAD) of RM25 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.