Taman Fadason
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Perdana Botanical Gardens, 50480 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 7
|
RM 380,000
|
RM 304
|
1,250 sqft
|
|
|
|
Level 9
|
RM 388,000
|
RM 310
|
1,250 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 380,000
RM 310 psfMedian transaction price
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsTaman Fadason in Kuala Lumpur, Kuala Lumpur recorded 3 Serviced Apt properties subsale transactions between 2021 and 2026, with a median price of RM 380K and a median price per square foot (PSF) of RM 310.
This area contains both residential and commercial properties. View 75 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 340K to RM 388K, and a typical market range of RM 300K to RM 388K.
Within the Serviced Apt category, low-cost flat dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM 310, with most transactions between RM 288 and RM 333. The usual range is RM 224.90 to RM 395.90, showing that most units are priced quite close to each other. With an IQR of RM 171.00 and MAD of RM 23, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.