Taman Bukit Rahman Putra

Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

7 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM550,000
Jalan Brp 7/1F
1,561 sqft RM352 PSF
RM600,000
Brp 7/3B
1,561 sqft RM384 PSF
RM770,000
Jalan Brp 7/1F
1,561 sqft RM493 PSF
RM1,100,000
Jalan Brp 7/1D
1,561 sqft RM705 PSF
RM620,000
Jalan Brp 7/1D
1,561 sqft RM397 PSF
RM580,000
Jalan Brp 7/1D
1,561 sqft RM372 PSF
RM620,000
Jalan Brp 7/1D
1,561 sqft RM397 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM620,000

RM397 psf

Median transaction price

RM2,000,000

RM934 psf

Median transaction price

Taman Bukit Rahman Putra
© OpenStreetMap · CARTO

Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia

Maps

Taman Bukit Rahman Putra in Gombak, Selangor recorded 7 subsale transactions between 2021 and 2026, sized between 1,525 and 1,574 sqft, with a median price of RM620K and a median price per square foot (PSF) of RM397.

This area contains both residential and commercial properties. View 56 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM620K, with most transactions falling within a stable range of RM550K to RM799K, and a typical market range of RM573K to RM668K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM397, though individual units vary from RM283 to RM512 in the core range. The broader market spans RM364.87 to RM429.62, indicating diverse property characteristics. A wider spread (IQR: RM64.75) and deviation (MAD: RM115) 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.