| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Ms 5
|
RM467,000
|
RM177
|
2,637 sqft
|
|
|
|
Jalan Ms 5
|
RM467,000
|
RM177
|
2,637 sqft
|
|
|
Jalan Ms 5
|
RM500,000
|
RM179
|
2,799 sqft
|
|
|
|
Jalan Ms 5
|
RM489,000
|
RM173
|
2,820 sqft
|
|
|
|
Jalan Ms 5
|
RM489,000
|
RM174
|
2,809 sqft
|
|
Posts about Taman Mutiara
No posts about Taman 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
Taman 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
Promote your property to visitors of this page
Taman Mutiara, 43800 Dengkil, Selangor, Malaysia
MapsTaman Mutiara in Sepang, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM489K and a median price per square foot (PSF) of RM177.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM489K, with most transactions falling within a stable range of RM484K to RM495K, and a typical market range of RM481K to RM497K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM177, with most transactions between RM175 and RM179. The usual range is RM175.21 to RM178.96, showing that most units are priced quite close to each other. A typical spread (IQR) of RM3.75 and an average deviation (MAD) of RM2 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.