Radius Residence
Jln SH 1/3, Selayang Heights, 68100 Batu Caves, Selangor, Malaysia
Jln SH 1/3, Selayang Heights, 68100 Batu Caves, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 6
|
RM 350,000
|
RM 383
|
915 sqft
|
|
|
|
Level 11
|
RM 335,000
|
RM 366
|
915 sqft
|
|
|
|
Level 8
|
RM 370,000
|
RM 404
|
915 sqft
|
|
|
|
Level 6
|
RM 330,000
|
RM 361
|
915 sqft
|
|
|
|
Level 9
|
RM 354,000
|
RM 387
|
915 sqft
|
|
|
|
Level 7
|
RM 340,000
|
RM 372
|
915 sqft
|
|
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
ResidentialRM 352,000
RM 385 psfMedian transaction price
Jln SH 1/3, Selayang Heights, 68100 Batu Caves, Selangor, Malaysia
MapsRadius Residence in Gombak, Selangor recorded 12 subsale transactions between 2021 and 2026, with a median price of RM 352K and a median price per square foot (PSF) of RM 387.
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 352K, with most transactions falling within a stable range of RM 332K to RM 372K, and a typical market range of RM 333K to RM 371K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 387, with most transactions between RM 365 and RM 408. The usual range is RM 365.91 to RM 407.91, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 42.00 and an average deviation (MAD) of RM 22 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.