Taman Bukit Rahman Putra

Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,900 sqft
Cluster
RM900,000
Jalan Brp 2/1M
1,916 sqft · RM470 PSF
RM1,080,000
Jalan Brp 2/1J
1,916 sqft · RM564 PSF
RM900,000
Jalan Brp 2/1B
1,916 sqft · RM470 PSF
RM840,000
Jalan Brp 2/1L
1,916 sqft · RM438 PSF
RM1,100,000
Jalan Brp 2/1M
1,916 sqft · RM574 PSF
6,850 sqft
Cluster
RM1,430,000
Jalan Brp 2/1B
6,857 sqft · RM209 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM990,000

RM470 psf

Median transaction price

RM838,000

RM667 psf

Median transaction price

Taman Bukit Rahman Putra
© OpenStreetMap · CARTO

Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia

Maps

Taman Bukit Rahman Putra in Petaling, Selangor recorded 6 Cluster House properties subsale transactions between 2021 and 2026, with a median price of RM990K and a median price per square foot (PSF) of RM470.

This area contains both residential and commercial properties. View 66 residential properties or 23 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM990K, with most transactions falling within a stable range of RM840K to RM1.19 million, and a typical market range of RM840K to RM1.43 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 RM470, though individual units vary from RM349 to RM590 in the core range. The broader market spans RM347.23 to RM592.23, indicating diverse property characteristics. A wider spread (IQR: RM245.00) and deviation (MAD: RM121) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.