The Residence Condo
3, Jalan Wan Kadir 5, Taman Tun Dr Ismail, 60000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
3, Jalan Wan Kadir 5, Taman Tun Dr Ismail, 60000 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 16
|
RM 1,300,000
|
RM 715
|
1,819 sqft
|
|
|
|
Level 18
|
RM 1,200,000
|
RM 660
|
1,819 sqft
|
|
|
Level 16
|
RM 1,380,000
|
RM 754
|
1,830 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
Market Snapshot
ResidentialRM 1,300,000
RM 715 psfMedian transaction price
3, Jalan Wan Kadir 5, Taman Tun Dr Ismail, 60000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsThe Residence Condo in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2022, with a median price of RM 1.30 million and a median price per square foot (PSF) of RM 715.
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 RM 1.30 million, with most transactions falling within a stable range of RM 1.23 million to RM 1.37 million, and a typical market range of RM 1.21 million to RM 1.38 million.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 715, with most transactions between RM 676 and RM 753. The usual range is RM 676.77 to RM 752.52, showing that most units are priced quite close to each other. With an IQR of RM 75.75 and MAD of RM 39, the PSF demonstrates reasonable consistency across the market.
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.