Taman Bukit Rahman Putra

Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

6 subsales grouped by size · 2-Sty Terrace →

Median
RM 614,000
PSF
RM 357
Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
2-Sty Terrace
RM 550,000
Jalan Brp 7/1F
1,432 sqft · RM 384 PSF
RM 600,000
Jalan Brp 7/1G
1,432 sqft · RM 419 PSF
RM 710,000
Jalan Brp 7/1H
1,432 sqft · RM 496 PSF
1,900 sqft
2-Sty Terrace
RM 600,000
Jalan Brp 7/3A
1,905 sqft · RM 315 PSF
RM 628,000
Jalan Brp 7/3B
1,905 sqft · RM 330 PSF
2,000 sqft
2-Sty Terrace
RM 655,000
Jalan Brp 7/3
2,002 sqft · RM 327 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 614,000

RM 357 psf

Median transaction price

RM 2,000,000

RM 934 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 RM 614K and a median price per square foot (PSF) of RM 357.

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 RM 614K, with most transactions falling within a stable range of RM 564K to RM 664K, and a typical market range of RM 567K to RM 662K.

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

The median PSF stands at RM 357, with core pricing between RM 293 and RM 421. Market pricing typically extends from RM 324.44 to RM 389.19, reflecting moderate variation in unit pricing. The spread of RM 64.75 (IQR) and deviation of RM 64 (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.