Desa Park City (Adiva)
Desa Parkcity, 52200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Desa Parkcity, 52200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 1,155,000
|
RM 1,052
|
1,098 sqft
|
|
|
Persiaran Residen
|
RM 2,100,000
|
RM 1,109
|
1,894 sqft
|
|
|
|
Persiaran Residen
|
RM 2,020,000
|
RM 1,066
|
1,894 sqft
|
|
|
|
Persiaran Residen
|
RM 1,730,000
|
RM 903
|
1,916 sqft
|
|
Posts about Desa Park City (Adiva)
No posts about Desa Park City (Adiva) yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 1,875,000
RM 1,059 psfMedian transaction price
Desa Parkcity, 52200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsDesa Park City (Adiva) in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2024, with a median price of RM 1.88 million and a median price per square foot (PSF) of RM 1,059.
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 1.88 million, with most transactions falling within a stable range of RM 1.50 million to RM 2.10 million, and a typical market range of RM 1.36 million to RM 2.10 million.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM 1,059, with most transactions between RM 982 and RM 1,137. The usual range is RM 920.88 to RM 1,197.38, showing that most units are priced quite close to each other. With an IQR of RM 276.50 and MAD of RM 78, the PSF demonstrates reasonable consistency across the market.
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.