Pangsapuri Puri Pesona, Bandar Sungai Long
Jln SL 12/2, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia
Jln SL 12/2, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM230,000
|
RM281
|
818 sqft
|
|
|
|
Level 3
|
RM250,000
|
RM310
|
807 sqft
|
|
New Launches in Selangor
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Pangsapuri Puri Pesona, Bandar Sungai Long
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 Cheras
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
Jln SL 12/2, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia
MapsPangsapuri Puri Pesona, Bandar Sungai Long in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM240K and a median price per square foot (PSF) of RM310.
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 RM240K, with most transactions falling within a stable range of RM230K to RM250K, and a typical market range of RM235K to RM245K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM310, with most transactions between RM295 and RM324. The usual range is RM302.43 to RM316.93, showing that most units are priced quite close to each other. A typical spread (IQR) of RM14.50 and an average deviation (MAD) of RM15 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.