Taman Bukit Rahman Putra

Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
RM516,000
Jalan Brp 6/9A
1,399 sqft · RM369 PSF
RM550,000
Jalan Brp 6/9A
1,399 sqft · RM393 PSF
RM680,000
Jalan Brp 1/9
1,399 sqft · RM486 PSF
RM620,000
Jalan Brp 1/10
1,399 sqft · RM443 PSF
RM640,000
Jalan Brp 1/9
1,399 sqft · RM457 PSF
RM700,000
Jalan Brp 1/10
1,399 sqft · RM500 PSF
+3 more
Legend Recent Highest Price Highest PSF

Selling in Taman Bukit Rahman Putra? Homes here sold for a median of RM620,000.

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Market Snapshot

RM640,000

RM457 psf

Median transaction price

RM418,500

RM304 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 9 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM620K and a median price per square foot (PSF) of RM443.

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 RM620K, with most transactions falling within a stable range of RM519K to RM700K, and a typical market range of RM417K to RM700K.

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

The median PSF stands at RM443, with core pricing between RM373 and RM514. Market pricing typically extends from RM320.58 to RM565.58, reflecting moderate variation in unit pricing. The spread of RM245.00 (IQR) and deviation of RM70 (MAD) suggest moderate price variations reflecting different property features.

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.