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)
850 sqft
Condo
RM220,000
Level 1
850 sqft · RM259 PSF
RM235,000
Level 1
850 sqft · RM276 PSF
RM240,000
Level 3
861 sqft · RM279 PSF
RM190,000
Level 4
850 sqft · RM223 PSF
RM190,000
Level 5
850 sqft · RM223 PSF
RM230,000
Level 2
850 sqft · RM270 PSF
RM235,000
Level 2
861 sqft · RM273 PSF
900 sqft
Condo
RM285,000
Level 1
893 sqft · RM319 PSF
RM250,000
Level 2
893 sqft · RM280 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM235,000

RM273 psf

Median transaction price

RM838,000

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 9 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM235K and a median price per square foot (PSF) of RM273.

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 RM235K, with most transactions falling within a stable range of RM207K to RM263K, and a typical market range of RM190K to RM285K.

Within the Condo/Apartment category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM273, with core pricing between RM245 and RM301. Market pricing typically extends from RM150.40 to RM395.40, reflecting moderate variation in unit pricing. With an IQR of RM245.00 and MAD of RM28, 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.