Denai Alam Shah Alam

Denai Alam, 40170 Shah Alam, Selangor, Malaysia

Property Transactions

2 subsales found

Median
RM1,575,000
PSF
RM389
Price Size
Period
transactions middle 50% (P25–P75)
RM1,000,000
Jalan Elektron U16/72
4,026 sqft RM248 PSF
RM2,150,000
Jalan Elektron U16/32C
4,060 sqft RM530 PSF
Legend Recent Highest Price Highest PSF

Selling in Denai Alam Shah Alam? Homes here sold for a median of RM1,575,000.

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Market Snapshot

RM1,575,000

RM389 psf

Median transaction price

RM2,124,500

RM1,166 psf

Median transaction price

Denai Alam Shah Alam
© OpenStreetMap · CARTO

Denai Alam, 40170 Shah Alam, Selangor, Malaysia

Maps

Denai Alam Shah Alam in Petaling, Selangor recorded 2 subsale transactions between 2021 and 2026, sized between 4,025 and 4,074 sqft, with a median price of RM1.58 million and a median price per square foot (PSF) of RM389.

This area contains both residential and commercial properties. View 243 residential properties or 36 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.58 million, with most transactions falling within a stable range of RM1.00 million to RM2.15 million, and a typical market range of RM1.22 million to RM1.93 million.

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

Price per square foot shows a median of RM389, though individual units vary from RM248 to RM530 in the core range. The broader market spans RM320.96 to RM456.96, indicating diverse property characteristics. A wider spread (IQR: RM136.00) and deviation (MAD: RM141) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.