Taman Bukit Rahman Putra

Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

10 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM550,000
Jalan Brp 7/1F
1,432 sqft RM384 PSF
RM600,000
Jalan Brp 7/1G
1,432 sqft RM419 PSF
RM710,000
Jalan Brp 7/1H
1,432 sqft RM496 PSF
RM700,000
Jalan Brp 7/1H
1,432 sqft RM489 PSF
RM665,000
Jalan Brp 7/1H
1,432 sqft RM465 PSF
RM680,000
Jalan Brp 7/1E
1,432 sqft RM475 PSF
RM480,000
Jalan Brp 7/1F
1,432 sqft RM335 PSF
RM570,000
Jalan Brp 7/1H
1,432 sqft RM398 PSF
RM560,000
Jalan Brp 7/1E
1,432 sqft RM391 PSF
RM735,000
Jalan Brp 7/1G
1,432 sqft RM513 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM632,500

RM442 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 10 subsale transactions between 2021 and 2026, sized between 1,425 and 1,474 sqft, with a median price of RM633K and a median price per square foot (PSF) of RM442.

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 RM633K, with most transactions falling within a stable range of RM552K to RM713K, and a typical market range of RM585K to RM680K.

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

The median PSF stands at RM442, with core pricing between RM386 and RM498. Market pricing typically extends from RM409.44 to RM474.19, reflecting moderate variation in unit pricing. With an IQR of RM64.75 and MAD of RM56, 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.