Gaya Melawati
Taman Melawati, Kuala Lumpur, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 9
|
RM 300,000
|
RM 619
|
484 sqft
|
|
Serviced Apt |
|
Level 4
|
RM 295,000
|
RM 609
|
484 sqft
|
|
Serviced Apt |
|
Level 12
|
RM 300,000
|
RM 619
|
484 sqft
|
|
Condo |
|
Level 8
|
RM 280,000
|
RM 578
|
484 sqft
|
|
SOHO |
|
Level 9
|
RM 280,000
|
RM 578
|
484 sqft
|
|
Condo |
Other Areas in Bandar Hulu Kelang
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 300,000
RM 619 psfMedian transaction price
Taman Melawati, Kuala Lumpur, Selangor, Malaysia
MapsGaya Melawati in Gombak, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 298K and a median price per square foot (PSF) of RM 614.
This area contains both residential and commercial properties. View 9 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 298K, with most transactions falling within a stable range of RM 280K to RM 413K, and a typical market range of RM 280K to RM 411K.
Most transactions involved cluster houselow-cost, with high diversity across multiple property types.
For price per square foot, the median is RM 614, with most transactions between RM 594 and RM 634. The usual range is RM 577.51 to RM 650.51, showing that most units are priced quite close to each other. With an IQR of RM 73.00 and MAD of RM 20, 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.