Taman Bukit Rahman Putra

Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

3 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM1,000,000
Level G
1,356 sqft RM737 PSF
RM150,000
Level 1
1,360 sqft RM110 PSF
RM900,000
Level G
1,350 sqft RM667 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bukit Rahman Putra? Homes here sold for a median of RM900,000.

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Market Snapshot

RM925,000

RM423 psf

Median transaction price

RM900,000

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 3 subsale transactions between 2021 and 2026, sized between 1,325 and 1,374 sqft, with a median price of RM900K and a median price per square foot (PSF) of RM667.

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 RM900K, with most transactions falling within a stable range of RM521K to RM1.00 million, and a typical market range of RM428K to RM1.00 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 RM667, though individual units vary from RM386 to RM947 in the core range. The broader market spans RM544.16 to RM789.16, indicating diverse property characteristics. A wider spread (IQR: RM245.00) and deviation (MAD: RM280) 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.