Villa Setia
2, Jalan Setiakasih 8, Bukit Damansara, 50490 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
2, Jalan Setiakasih 8, Bukit Damansara, 50490 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 18
|
RM650,000
|
RM851
|
764 sqft
|
|
Condo |
|
Level 8
|
RM650,000
|
RM851
|
764 sqft
|
|
Serviced Apt |
|
Level 14
|
RM650,000
|
RM851
|
764 sqft
|
|
Serviced Apt |
|
Level 2-3
|
RM1,350,000
|
RM1,306
|
1,033 sqft
|
|
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Villa Setia
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Mukim Kuala Lumpur
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
2, Jalan Setiakasih 8, Bukit Damansara, 50490 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsVilla Setia in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, with a median price of RM650K and a median price per square foot (PSF) of RM851.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved condominium/apartment, though some variety exists in the market.
For price per square foot, the median is RM851, with most transactions between RM851 and RM851. The usual range is RM682.52 to RM1,018.52, showing that most units are priced quite close to each other. With an IQR of RM336.00 and MAD of RM0, 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.