Sek 27, Shah Alam

Persiaran Jubli Perak, Seksyen 21, 40400 Shah Alam, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM1,950,000
PSF
RM522
Price Size
Period
transactions middle 50% (P25–P75)
3,650 sqft
Terrace Factory
RM1,900,000
Jalan Sungai Kandis 27/92
3,638 sqft · RM522 PSF
RM1,950,000
Jalan Sungai Kandis 27/92
3,638 sqft · RM536 PSF
12,700 sqft
Semi-D Factory
RM6,600,000
Jalan Sungai Buloh 27/101A (Hicom 27)
12,723 sqft · RM519 PSF
Legend Recent Highest Price Highest PSF

Selling in Sek 27, Shah Alam? Homes here sold for a median of RM1,950,000.

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Market Snapshot

Commercial

RM1,950,000

RM522 psf

Median transaction price

Sek 27, Shah Alam
© OpenStreetMap · CARTO

Persiaran Jubli Perak, Seksyen 21, 40400 Shah Alam, Selangor, Malaysia

Maps

Sek 27, Shah Alam in Petaling, Selangor recorded 3 subsale transactions in 2026, with a median price of RM1.95 million and a median price per square foot (PSF) of RM522.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.95 million, with most transactions falling within a stable range of RM1.90 million to RM4.15 million, and a typical market range of RM1.90 million to RM3.80 million.

Most transactions involved terraced factory/warehouse, with moderate diversity in property types available.

For price per square foot, the median is RM522, with most transactions between RM515 and RM529. The usual range is RM461.50 to RM582.50, showing that most units are priced quite close to each other. With an IQR of RM121.00 and MAD of RM7, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.