Windsor Tower
2, Jalan Sri Hartamas 17, Taman Sri Hartamas, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
2, Jalan Sri Hartamas 17, Taman Sri Hartamas, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
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Windsor Tower
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
Windsor Tower, 2, Jalan Sri Hartamas 17, Taman Sri Hartamas, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsWindsor Tower in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, sized between 1,125 and 1,174 sqft, with a median price of RM830K and a median price per square foot (PSF) of RM707.
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 RM830K, with most transactions falling within a stable range of RM660K to RM1.00 million, and a typical market range of RM660K to RM1.00 million.
Most transactions involved serviced apartment, with minimal variety in property types.
Price per square foot shows a median of RM707, though individual units vary from RM563 to RM852 in the core range. The broader market spans RM618.92 to RM795.92, indicating diverse property characteristics. The spread of RM177.00 (IQR) and deviation of RM145 (MAD) suggest moderate price variations reflecting different property features.
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.