Iris Apartment
Saujana Utama 1, 47000 Sungai Buloh, Selangor, Malaysia
Saujana Utama 1, 47000 Sungai Buloh, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 200,000
|
RM 265
|
753 sqft
|
|
|
|
Level 1
|
RM 280,000
|
RM 372
|
753 sqft
|
|
|
|
Level 4
|
RM 180,000
|
RM 239
|
753 sqft
|
|
|
|
Level 1
|
RM 260,000
|
RM 345
|
753 sqft
|
|
|
|
Level 2
|
RM 220,000
|
RM 292
|
753 sqft
|
|
|
|
Level 1
|
RM 185,000
|
RM 246
|
753 sqft
|
|
|
|
Level 5
|
RM 185,000
|
RM 246
|
753 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
ResidentialRM 200,000
RM 265 psfMedian transaction price
Iris Apartment, Saujana Utama 1, 47000 Sungai Buloh, Selangor, Malaysia
MapsIris Apartment in Kuala Selangor, Selangor recorded 7 subsale transactions in 2023, with a median price of RM 200K and a median price per square foot (PSF) of RM 265.
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 200K, with most transactions falling within a stable range of RM 180K to RM 237K, and a typical market range of RM 183K to RM 218K.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM 265, with core pricing between RM 216 and RM 314. Market pricing typically extends from RM 242.44 to RM 288.44, reflecting moderate variation in unit pricing. The spread of RM 46.00 (IQR) and deviation of RM 49 (MAD) suggest moderate price variations reflecting different property features.
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.