Taman Bukit Rahman Putra

Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
2-Sty Terrace
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
1,900 sqft
2-Sty Terrace
RM600,000
Jalan Brp 7/3A
1,905 sqft · RM315 PSF
RM628,000
Jalan Brp 7/3B
1,905 sqft · RM330 PSF
2,000 sqft
2-Sty Terrace
RM655,000
Jalan Brp 7/3
2,002 sqft · RM327 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bukit Rahman Putra? Homes here sold for a median of RM614,000.

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Market Snapshot

RM614,000

RM357 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 6 subsale transactions in 2025, with a median price of RM614K and a median price per square foot (PSF) of RM357.

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 RM614K, with most transactions falling within a stable range of RM564K to RM664K, and a typical market range of RM567K to RM662K.

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

The median PSF stands at RM357, with core pricing between RM293 and RM421. Market pricing typically extends from RM324.44 to RM389.19, reflecting moderate variation in unit pricing. The spread of RM64.75 (IQR) and deviation of RM64 (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.