Taman Idaman Putra
1, Jalan Idaman Putra 1, Taman Idaman Putra 1, 47000 Sungai Buloh, Selangor, Malaysia
1, Jalan Idaman Putra 1, Taman Idaman Putra 1, 47000 Sungai Buloh, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Bukit Rahman Putra
|
RM 680,000
|
RM 454
|
1,496 sqft
|
|
|
|
Bukit Rahman Putra
|
RM 680,000
|
RM 454
|
1,496 sqft
|
|
|
|
Bukit Rahman Putra
|
RM 680,000
|
RM 454
|
1,496 sqft
|
|
|
|
Bukit Rahman Putra
|
RM 680,000
|
RM 454
|
1,496 sqft
|
|
|
|
Bukit Rahman Putra
|
RM 700,000
|
RM 468
|
1,496 sqft
|
|
|
|
Bukit Rahman Putra
|
RM 680,000
|
RM 454
|
1,496 sqft
|
|
|
|
Bukit Rahman Putra
|
RM 700,000
|
RM 468
|
1,496 sqft
|
|
|
Bukit Rahman Putra
|
RM 738,000
|
RM 328
|
2,250 sqft
|
|
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1, Jalan Idaman Putra 1, Taman Idaman Putra 1, 47000 Sungai Buloh, Selangor, Malaysia
MapsTaman Idaman Putra in Gombak, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 680K and a median price per square foot (PSF) of RM 454.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 680K, with most transactions falling within a stable range of RM 680K to RM 699K, and a typical market range of RM 680K to RM 690K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM 454, with most transactions between RM 411 and RM 498. The usual range is RM 454.49 to RM 454.49, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 0.00 and an average deviation (MAD) of RM 43 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.