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 |
|---|
|
Level B
|
RM 420,000
|
RM 305
|
1,378 sqft
|
|
|
|
Level G
|
RM 417,000
|
RM 303
|
1,378 sqft
|
|
|
Jalan Brp 6/6
|
RM 645,000
|
RM 419
|
1,539 sqft
|
|
2-Sty Terrace |
|
Jalan Brp 6/6
|
RM 780,000
|
RM 507
|
1,539 sqft
|
|
2-Sty Terrace |
|
-
|
RM 160,000
|
RM 103
|
1,560 sqft
|
|
Office |
|
-
|
RM 200,000
|
RM 128
|
1,560 sqft
|
|
Shop |
|
Jalan Brp 5/9B
|
RM 1,590,000
|
RM 499
|
3,186 sqft
|
|
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Market Snapshot
RM 712,500
RM 459 psfMedian transaction price
RM 417,000
RM 303 psfMedian transaction price
Bukit Rahman Putra, 47000 Sungai Buloh, Selangor, Malaysia
MapsTaman Bukit Rahman Putra in Petaling, Selangor recorded 9 subsale transactions in 2021, with a median price of RM 420K and a median price per square foot (PSF) of RM 305.
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 420K, with most transactions falling within a stable range of RM 160K to RM 835K, and a typical market range of RM 160K to RM 893K.
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 305, though individual units vary from RM 166 to RM 444 in the core range. The broader market spans RM 182.34 to RM 427.34, indicating diverse property characteristics. A wider spread (IQR: RM 245.00) and deviation (MAD: RM 139) 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.