Bukit Rimau

40460 Shah Alam, Selangor, Malaysia

Property Transactions

8 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM390,000
Level G
1,076 sqft RM362 PSF
RM390,000
Level G
1,109 sqft RM352 PSF
RM360,000
Level G
1,076 sqft RM334 PSF
RM440,000
Level G
1,076 sqft RM409 PSF
RM580,000
Level G
1,109 sqft RM523 PSF
RM375,000
Level G
1,076 sqft RM348 PSF
RM400,000
Level G
1,109 sqft RM361 PSF
RM395,000
Level G
1,076 sqft RM367 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM392,500

RM362 psf

Median transaction price

RM680,000

RM581 psf

Median transaction price

Bukit Rimau
© OpenStreetMap · CARTO

Bukit Rimau, 40460 Shah Alam, Selangor, Malaysia

Maps

Bukit Rimau in Klang, Selangor recorded 8 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM393K and a median price per square foot (PSF) of RM362.

This area contains both residential and commercial properties. View 108 residential properties or 39 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM393K, with most transactions falling within a stable range of RM360K to RM458K, and a typical market range of RM360K to RM580K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM362, with core pricing between RM305 and RM419. Market pricing typically extends from RM304.06 to RM419.06, reflecting moderate variation in unit pricing. The spread of RM115.00 (IQR) and deviation of RM57 (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.