Kondominium Cypress, Bandar Sungai Long
Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia
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 4
|
RM600,000
|
RM413
|
1,453 sqft
|
|
|
|
Level 2
|
RM590,000
|
RM406
|
1,453 sqft
|
|
|
Level 6
|
RM600,000
|
RM404
|
1,485 sqft
|
|
|
|
Level 7
|
RM595,000
|
RM401
|
1,485 sqft
|
|
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Kondominium Cypress, 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 Bandar 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
Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia
MapsKondominium Cypress, Bandar Sungai Long in Hulu Langat, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM600K and a median price per square foot (PSF) of RM404.
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 RM600K, with most transactions falling within a stable range of RM595K to RM605K, and a typical market range of RM598K to RM603K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM404, with most transactions between RM401 and RM407. The usual range is RM401.43 to RM406.43, showing that most units are priced quite close to each other. A typical spread (IQR) of RM5.00 and an average deviation (MAD) of RM3 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.