Menara Jaya Kondominium-Sek.14 P.jaya
1, Jalan 14/1, Seksyen 14, 46100 Petaling Jaya, Selangor, Malaysia
1, Jalan 14/1, Seksyen 14, 46100 Petaling Jaya, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Selling in Menara Jaya Kondominium-Sek.14 P.jaya? Homes here sold for a median of RM560,000.
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Nearby areas in Bandar Petaling Jaya
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SS 22 & SS22A, Damansara Jaya
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Sek. 14 Petaling Jaya
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SS 23 Taman Sea
Menara Jaya Kondominium-Sek.14 P.jaya
Marketplace listings
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 Bandar Petaling Jaya
Property News
More property news →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
1, Jalan 14/1, Seksyen 14, 46100 Petaling Jaya, Selangor, Malaysia
MapsMenara Jaya Kondominium-Sek.14 P.jaya in Petaling, Selangor recorded 1 subsale transactions between 2021 and 2026, sized between 1,525 and 1,574 sqft, with a median price of RM560K and a median price per square foot (PSF) of RM359.
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, with minimal variety in property types.
For price per square foot, the median is RM359, with most transactions between RM359 and RM359. The usual range is RM347.18 to RM370.43, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.25 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.
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.