Taman Bukit Rahman Putra

Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

5 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM680,000
Jalan Brp 1/13
1,227 sqft RM554 PSF
RM700,000
Jalan Brp 1/12
1,227 sqft RM570 PSF
RM1,085,000
Jalan Brp 1/12
1,227 sqft RM884 PSF
RM648,000
Jalan Brp 1/10
1,227 sqft RM528 PSF
RM540,000
Jalan Brp 1/12
1,227 sqft RM440 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM680,000

RM554 psf

Median transaction price

RM1,800,000

RM970 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 5 subsale transactions between 2021 and 2026, sized between 1,225 and 1,274 sqft, with a median price of RM680K and a median price per square foot (PSF) of RM554.

This area contains both residential and commercial properties. View 45 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM680K, with most transactions falling within a stable range of RM540K to RM866K, and a typical market range of RM540K to RM1.03 million.

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

Price per square foot shows a median of RM554, though individual units vary from RM403 to RM705 in the core range. The broader market spans RM496.66 to RM611.66, indicating diverse property characteristics. A wider spread (IQR: RM115.00) and deviation (MAD: RM151) 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.