Pangsapuri Akasia

Jalan Sungai Renggam 32/2, Seksyen 32, 40460 Shah Alam, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM282,500
PSF
RM345
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Condo
RM330,000
Level 7
818 sqft · RM403 PSF
RM290,000
Level 5
818 sqft · RM354 PSF
RM300,000
Level 6
818 sqft · RM367 PSF
RM250,000
Level 8
818 sqft · RM306 PSF
RM265,000
Level 8
818 sqft · RM324 PSF
RM275,000
Level 11
818 sqft · RM336 PSF
Legend Recent Highest Price Highest PSF

Selling in Pangsapuri Akasia? Homes here sold for a median of RM282,500.

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Market Snapshot

Residential

RM282,500

RM345 psf

Median transaction price

Average

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Pangsapuri Akasia, Sek. 32
© OpenStreetMap · CARTO

Pangsapuri Akasia, Jalan Sungai Renggam 32/2, Seksyen 32, 40460 Shah Alam, Selangor, Malaysia

Maps

Pangsapuri Akasia in Klang, Selangor recorded 6 subsale transactions in 2024, with a median price of RM283K and a median price per square foot (PSF) of RM345.

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 RM283K, with most transactions falling within a stable range of RM257K to RM308K, and a typical market range of RM266K to RM299K.

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

For price per square foot, the median is RM345, with most transactions between RM314 and RM377. The usual range is RM325.33 to RM365.33, showing that most units are priced quite close to each other. A typical spread (IQR) of RM40.00 and an average deviation (MAD) of RM32 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.