South City Service Apartment
No.17, 1, Jln Equine 10D, Taman Equine, 43300 Seri Kembangan, Selangor, Malaysia
No.17, 1, Jln Equine 10D, Taman Equine, 43300 Seri Kembangan, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Selling in South City Service Apartment? Homes here sold for a median of RM320,000.
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Nearby areas in Pekan Serdang
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Cheong Hin Commercial City
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South City Service Apartment
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Pusat Perd. Sri Kembangan
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Bukit Sri Serdang Light Industrial Park
Kampung Baru Sri Kembangan
Serdang Skyvillas
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 Pekan Serdang
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
No.17, 1, Jln Equine 10D, Taman Equine, 43300 Seri Kembangan, Selangor, Malaysia
MapsSouth City Service Apartment in Petaling, Selangor recorded 1 subsale transactions between 2021 and 2026, sized between 1,775 and 1,824 sqft, with a median price of RM320K and a median price per square foot (PSF) of RM180.
This area contains both residential and commercial properties. View 42 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved serviced apartment, with minimal variety in property types.
For price per square foot, the median is RM180, with most transactions between RM180 and RM180. The usual range is RM145.14 to RM214.64, showing that most units are priced quite close to each other. With an IQR of RM69.50 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.