Villa Wangsamas Condo
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 8
|
RM 600,000
|
RM 472
|
1,270 sqft
|
|
|
|
Level 16
|
RM 600,000
|
RM 472
|
1,270 sqft
|
|
|
|
Level 2
|
RM 560,000
|
RM 441
|
1,270 sqft
|
|
|
|
Level 15
|
RM 485,000
|
RM 382
|
1,270 sqft
|
|
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Auction Properties
1 auction properties in Villa Wangsamas Condo
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 580,000
RM 457 psfMedian transaction price
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
MapsVilla Wangsamas Condo in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 580K and a median price per square foot (PSF) of RM 457.
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 580K, with most transactions falling within a stable range of RM 533K to RM 600K, and a typical market range of RM 535K to RM 600K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 457, with most transactions between RM 420 and RM 493. The usual range is RM 432.13 to RM 480.88, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 48.75 and an average deviation (MAD) of RM 37 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.