Puri Aiyu Kondo
No 50, Jalan Jubli Perak 22/1, Seksyen 22, 40400 Shah Alam, Selangor, Malaysia
No 50, Jalan Jubli Perak 22/1, Seksyen 22, 40400 Shah Alam, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 14
|
RM420,000
|
RM383
|
1,098 sqft
|
|
|
|
Level 15
|
RM380,000
|
RM346
|
1,098 sqft
|
|
New Launches in Selangor
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekan Batu Tiga
Property News
More property news →New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
No 50, Jalan Jubli Perak 22/1, Seksyen 22, 40400 Shah Alam, Selangor, Malaysia
MapsPuri Aiyu Kondo in Petaling, Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM400K and a median price per square foot (PSF) of RM383.
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 RM400K, with most transactions falling within a stable range of RM380K to RM420K, and a typical market range of RM390K to RM410K.
Most transactions involved serviced apartment, with minimal variety in property types.
For price per square foot, the median is RM383, with most transactions between RM364 and RM401. The usual range is RM373.29 to RM391.79, showing that most units are priced quite close to each other. A typical spread (IQR) of RM18.50 and an average deviation (MAD) of RM19 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.