D' Alamanda Pudu Impian Iv
Jalan Pudu Impian, Cheras, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jalan Pudu Impian, Cheras, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 7
|
RM 380,000
|
RM 411
|
926 sqft
|
|
|
|
Level 16
|
RM 430,000
|
RM 465
|
926 sqft
|
|
|
Level 6
|
RM 645,000
|
RM 447
|
1,442 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
Jalan Pudu Impian, Cheras, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsD' Alamanda Pudu Impian Iv in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 380K and a median price per square foot (PSF) of RM 456.
This area contains both residential and commercial properties. View 33 residential properties or 5 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 380K, with most transactions falling within a stable range of RM 229K to RM 531K, and a typical market range of RM 326K to RM 434K.
Most transactions involved serviced apartment, though some variety exists in the market.
Price per square foot shows a median of RM 456, though individual units vary from RM 247 to RM 664 in the core range. The broader market spans RM 407.48 to RM 504.23, indicating diverse property characteristics. A wider spread (IQR: RM 96.75) and deviation (MAD: RM 209) indicate significant PSF variations, likely due to diverse property types or conditions.
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.