Lily Apartment
Saujana Utama 2, 47000 Sungai Buloh, Selangor, Malaysia
Saujana Utama 2, 47000 Sungai Buloh, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM 207,000
|
RM 247
|
840 sqft
|
|
Condo |
|
Level 3
|
RM 250,000
|
RM 298
|
840 sqft
|
|
Condo |
|
Level 1
|
RM 240,000
|
RM 286
|
840 sqft
|
|
Condo |
|
Level 2
|
RM 250,000
|
RM 298
|
840 sqft
|
|
Condo |
|
Level G
|
RM 250,000
|
RM 298
|
840 sqft
|
|
Condo |
|
Level 3
|
RM 210,000
|
RM 250
|
840 sqft
|
|
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 225,000
RM 266 psfMedian transaction price
Lily Apartment, Saujana Utama 2, 47000 Sungai Buloh, Selangor, Malaysia
MapsLily Apartment in Kuala Selangor, Selangor recorded 12 subsale transactions between 2021 and 2026, with a median price of RM 225K and a median price per square foot (PSF) of RM 270.
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 225K, with most transactions falling within a stable range of RM 204K to RM 247K, and a typical market range of RM 206K to RM 244K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 270, with most transactions between RM 246 and RM 294. The usual range is RM 248.36 to RM 292.61, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 44.25 and an average deviation (MAD) of RM 24 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.