Desa Salak Mutiara
Desa Mutiara Salak, 43900 Sepang, Selangor, Malaysia
Desa Mutiara Salak, 43900 Sepang, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
Selling in Desa Salak Mutiara? Homes here sold for a median of RM497,500.
Free to list, about two minutes, and the buyers reading this page will see it.
New Launches in Selangor
View allPosts about Desa Salak Mutiara
No posts about Desa Salak Mutiara yet. Be the first to share what’s happening here.
Nearby areas in Labu
Taman Salak Idaman
Desa Salak Pekerti
Taman Salak Cemara (Labu)
Desa Restu
Taman Intan Baiduri (P/L 3337)
Taman Intan Baiduri(P/L 3336)
Desa Seri Setia
Taman Dataran Abadi
Taman Salak Budi
Taman Desa Anugerah
Taman Indah Puteri
Desa Salak Permai
Desa Salak Mutiara
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 Labu
Desa Mutiara Salak, 43900 Sepang, Selangor, Malaysia
MapsDesa Salak Mutiara in Sepang, Selangor recorded 2 subsale transactions in 2022, with a median price of RM498K and a median price per square foot (PSF) of RM155.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM498K, with most transactions falling within a stable range of RM440K to RM555K, and a typical market range of RM469K to RM526K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM155, with most transactions between RM155 and RM155. The usual range is RM155.07 to RM155.07, showing that most units are priced quite close to each other. A typical spread (IQR) of RM0.00 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.