Trefoil (Sofo)
Trefoil, Alam Nusantara, 40170 Shah Alam, Selangor, Malaysia
Trefoil, Alam Nusantara, 40170 Shah Alam, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 23
|
RM 270,000
|
RM 557
|
484 sqft
|
|
|
|
Level 28
|
RM 258,000
|
RM 533
|
484 sqft
|
|
|
|
Level 27
|
RM 260,000
|
RM 536
|
485 sqft
|
|
|
|
Level 26
|
RM 250,000
|
RM 516
|
484 sqft
|
|
|
|
Level 16
|
RM 240,000
|
RM 495
|
485 sqft
|
|
|
|
Level 24
|
RM 240,000
|
RM 495
|
485 sqft
|
|
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
CommercialRM 256,500
RM 521 psfMedian transaction price
Trefoil, Alam Nusantara, 40170 Shah Alam, Selangor, Malaysia
MapsTrefoil (Sofo) in Petaling, Selangor recorded 12 subsale transactions in 2021, with a median price of RM 257K and a median price per square foot (PSF) of RM 521.
This area contains both residential and commercial properties. View 1 residential properties or 124 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 257K, with most transactions falling within a stable range of RM 240K to RM 289K, and a typical market range of RM 240K to RM 287K.
Most transactions involved soho/sofo/sovo, with minimal variety in property types.
For price per square foot, the median is RM 521, with most transactions between RM 475 and RM 567. The usual range is RM 482.44 to RM 559.44, showing that most units are priced quite close to each other. With an IQR of RM 77.00 and MAD of RM 46, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.