Selling in Casuarina Park (Kondominium Pandan Wangi? Homes here sold for a median of RM300,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Casuarina Park (Kondominium Pandan Wangi
No posts about Casuarina Park (Kondominium Pandan Wangi yet. Be the first to share what’s happening here.
Nearby areas in Pkn Klebang
Condominium Ocean Palms(Permata Idaman)
Kondominium Selat Horizon
Taman Pantai Mas
Pangsapuri Golden Shower(Condo Ruby)
Casuarina Park (Kondo Pandan Wangi)
Kondominium Klebang Delima
Jalan Klebang - Tg Kling
Taman Seri Mawar (Pandan Mawar)
Condominium Golden Coast (Pantai Mas)
Taman Union
Taman Pinang Impian
Taman Cempaka Avenue
Casuarina Park (Kondominium Pandan Wangi
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 Pkn Klebang
Klebang Kechil, 75200 Klebang, Melaka, Malaysia
MapsCasuarina Park (Kondominium Pandan Wangi in Melaka Tengah, Melaka recorded 1 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM300K and a median price per square foot (PSF) of RM232.
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 RM232, with most transactions between RM232 and RM232. The usual range is RM219.76 to RM244.76, showing that most units are priced quite close to each other. A typical spread (IQR) of RM25.00 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.
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.