Bukit Jelutong, Shah Alam

Bukit Jelutong, Shah Alam, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 1,320,000
PSF
RM 443
Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
Cluster
RM 730,000
Jalan Serambi U8/33
1,647 sqft · RM 443 PSF
2,800 sqft
Cluster
RM 1,690,000
Jalan Teratak U8/108
2,796 sqft · RM 604 PSF
3,900 sqft
Cluster
RM 1,320,000
Jalan Birai U8/66
3,886 sqft · RM 340 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 1,320,000

RM 443 psf

Median transaction price

RM 1,511,000

RM 979 psf

Median transaction price

Bukit Jelutong, Shah Alam
© OpenStreetMap · CARTO

Bukit Jelutong, Shah Alam, Selangor, Malaysia

Maps

Bukit Jelutong, Shah Alam in Petaling, Selangor recorded 3 Cluster House properties subsale transactions between 2021 and 2026, with a median price of RM 1.32 million and a median price per square foot (PSF) of RM 443.

This area contains both residential and commercial properties. View 294 residential properties or 63 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.32 million, with most transactions falling within a stable range of RM 925K to RM 1.69 million, and a typical market range of RM 825K to RM 1.69 million.

Within the Cluster House category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM 443, though individual units vary from RM 334 to RM 552 in the core range. The broader market spans RM 366.26 to RM 520.26, indicating diverse property characteristics. The spread of RM 154.00 (IQR) and deviation of RM 109 (MAD) suggest moderate price variations reflecting different property features.

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.