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)
RM590,000
Jalan Brp 7/3
2,002 sqft RM295 PSF
RM655,000
Jalan Brp 7/3
2,002 sqft RM327 PSF
RM680,000
Jalan Brp 7/3A
2,002 sqft RM340 PSF
RM680,000
Jalan Brp 7/3A
2,002 sqft RM340 PSF
RM600,000
Jalan Brp 7/3
2,002 sqft RM300 PSF
RM750,000
Jalan Brp 7/3
2,002 sqft RM375 PSF
RM635,000
Jalan Brp 7/3A
2,002 sqft RM317 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM655,000

RM327 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 1,975 and 2,024 sqft, with a median price of RM655K and a median price per square foot (PSF) of RM327.

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 RM655K, with most transactions falling within a stable range of RM604K to RM706K, and a typical market range of RM608K to RM703K.

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

For price per square foot, the median is RM327, with most transactions between RM302 and RM352. The usual range is RM294.79 to RM359.54, showing that most units are priced quite close to each other. With an IQR of RM64.75 and MAD of RM25, 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.