The Quartz- Lexa Residensi
Lexa Residence, Jalan 34/26, Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Lexa Residence, Jalan 34/26, Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 24
|
RM 450,000
|
RM 674
|
667 sqft
|
|
|
|
Level 19
|
RM 460,000
|
RM 712
|
646 sqft
|
|
|
|
Level 26
|
RM 440,000
|
RM 659
|
667 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
Lexa Residence, Jalan 34/26, Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsThe Quartz- Lexa Residensi in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2022, with a median price of RM 460K and a median price per square foot (PSF) of RM 659.
This area contains both residential and commercial properties. View 14 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 460K, with most transactions falling within a stable range of RM 440K to RM 509K, and a typical market range of RM 440K to RM 550K.
Most transactions involved serviced apartment, though some variety exists in the market.
For price per square foot, the median is RM 659, with most transactions between RM 629 and RM 690. The usual range is RM 640.31 to RM 678.31, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 38.00 and an average deviation (MAD) of RM 31 indicate a highly stable PSF trend across properties.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.