Kuchai Avenue
58200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
58200 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 10
|
RM 350,000
|
RM 378
|
926 sqft
|
|
|
|
Level 11
|
RM 520,000
|
RM 562
|
926 sqft
|
|
|
|
Level 12
|
RM 370,000
|
RM 400
|
926 sqft
|
|
|
|
Level 7
|
RM 368,000
|
RM 398
|
926 sqft
|
|
|
|
Level 11
|
RM 490,000
|
RM 529
|
926 sqft
|
|
|
|
Level 16
|
RM 550,000
|
RM 594
|
926 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
Kuchai Avenue, 58200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsKuchai Avenue in Kuala Lumpur, Kuala Lumpur recorded 12 subsale transactions in 2022, with a median price of RM 393K and a median price per square foot (PSF) of RM 424.
This area contains both residential and commercial properties. View 63 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 393K, with most transactions falling within a stable range of RM 350K to RM 457K, and a typical market range of RM 350K to RM 493K.
Most transactions involved serviced apartment, with minimal variety in property types.
The median PSF stands at RM 424, with core pricing between RM 354 and RM 494. Market pricing typically extends from RM 314.38 to RM 533.63, reflecting moderate variation in unit pricing. The spread of RM 219.25 (IQR) and deviation of RM 70 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.