Seksyen 32, Shah Alam

Seksyen 32, 40460 Shah Alam, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
Terrace
RM440,000
Jalan 32/119
1,173 sqft · RM375 PSF
1,450 sqft
Terrace
RM498,000
Jalan Sungai Long 32/217
1,441 sqft · RM346 PSF
RM498,000
Jalan Sungai Long 32/217
1,443 sqft · RM345 PSF
RM498,000
Jalan Sungai Long 32/217
1,444 sqft · RM345 PSF
1,550 sqft
2-Sty Terrace
RM568,000
Jalan Sungai Kalkati 32/214, Seksyen 32
1,561 sqft · RM364 PSF
1,600 sqft
2-Sty Terrace
RM568,000
Jalan Sungai Long 32/216, Seksyen 32
1,615 sqft · RM352 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM498,000

RM349 psf

Median transaction price

Seksyen 32, Shah Alam
© OpenStreetMap · CARTO

Seksyen 32, 40460 Shah Alam, Selangor, Malaysia

Maps

Seksyen 32, Shah Alam in Klang, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM498K and a median price per square foot (PSF) of RM349.

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 RM498K, with most transactions falling within a stable range of RM453K to RM543K, and a typical market range of RM467K to RM530K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM349, with most transactions between RM338 and RM360. The usual range is RM306.50 to RM391.50, showing that most units are priced quite close to each other. With an IQR of RM85.00 and MAD of RM11, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.