| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM180,000
|
RM341
|
527 sqft
|
|
|
|
Level 1
|
RM200,000
|
RM379
|
527 sqft
|
|
|
|
Level 1
|
RM220,000
|
RM417
|
527 sqft
|
|
|
|
Level 1
|
RM188,000
|
RM356
|
527 sqft
|
|
|
|
Level 1
|
RM190,000
|
RM360
|
527 sqft
|
|
|
|
Level 1
|
RM200,000
|
RM379
|
527 sqft
|
|
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Bukit Rimau
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Kelang
Property News
More property news →Market Snapshot
RM850,000
RM388 psfMedian transaction price
RM200,000
RM379 psfMedian transaction price
Bukit Rimau, 40460 Shah Alam, Selangor, Malaysia
MapsBukit Rimau in Klang, Selangor recorded 17 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM379.
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 RM200K, with most transactions falling within a stable range of RM186K to RM214K, and a typical market range of RM180K to RM225K.
Within the Office Lot category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM379, with most transactions between RM353 and RM405. The usual range is RM321.70 to RM436.70, showing that most units are priced quite close to each other. With an IQR of RM115.00 and MAD of RM26, 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.