Taman Bukit Rahman Putra
Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia
Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Brp 1/5
|
RM 788,000
|
RM 684
|
1,152 sqft
|
|
|
Jalan Brp 2/1J
|
RM 920,000
|
RM 480
|
1,916 sqft
|
|
|
Jalan Brp 5/8
|
RM 990,000
|
RM 309
|
3,200 sqft
|
|
|
Jalan Brp 5/4
|
RM 1,800,000
|
RM 544
|
3,308 sqft
|
|
|
Jalan Brp 5/2
|
RM 1,690,000
|
RM 388
|
4,358 sqft
|
|
|
Jalan Brp 3/2D
|
RM 4,100,000
|
RM 447
|
9,182 sqft
|
|
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Market Snapshot
RM 1,690,000
RM 447 psfMedian transaction price
RM 788,000
RM 684 psfMedian transaction price
Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia
MapsTaman Bukit Rahman Putra in Petaling, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 995K and a median price per square foot (PSF) of RM 464.
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 RM 995K, with most transactions falling within a stable range of RM 550K to RM 2.06 million, and a typical market range of RM 550K to RM 1.47 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 RM 464, though individual units vary from RM 323 to RM 604 in the core range. The broader market spans RM 341.00 to RM 586.00, indicating diverse property characteristics. A wider spread (IQR: RM 245.00) and deviation (MAD: RM 141) 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.