Verticas Residensi
Bukit Ceylon, 50200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Bukit Ceylon, 50200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 36
|
RM 1,100,000
|
RM 774
|
1,421 sqft
|
|
|
Level 40
|
RM 1,200,000
|
RM 820
|
1,464 sqft
|
|
|
Level 25
|
RM 1,400,000
|
RM 774
|
1,808 sqft
|
|
|
Level 10
|
RM 1,300,000
|
RM 642
|
2,024 sqft
|
|
|
Level 14
|
RM 1,220,000
|
RM 578
|
2,110 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 1,220,000
RM 774 psfMedian transaction price
Bukit Ceylon, 50200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsVerticas Residensi in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2023, with a median price of RM 1.22 million and a median price per square foot (PSF) of RM 774.
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 1.22 million, with most transactions falling within a stable range of RM 1.12 million to RM 1.32 million, and a typical market range of RM 1.10 million to RM 1.40 million.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM 774, with core pricing between RM 683 and RM 866. Market pricing typically extends from RM 718.82 to RM 829.57, reflecting moderate variation in unit pricing. With an IQR of RM 110.75 and MAD of RM 92, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.