| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Desa Rhu 9
|
RM350,000
|
RM293
|
1,195 sqft
|
|
|
|
Jalan Desa Rhu 12
|
RM305,000
|
RM255
|
1,195 sqft
|
|
|
|
Lorong Desa Rhu 6/3
|
RM250,000
|
RM209
|
1,195 sqft
|
|
|
|
Jalan Desa Rhu 10
|
RM260,000
|
RM218
|
1,195 sqft
|
|
|
Lorong Desa Rhu 8
|
RM310,000
|
RM238
|
1,302 sqft
|
|
|
Lorong Desa Rhu 12/2
|
RM383,000
|
RM176
|
2,174 sqft
|
|
|
Lorong Desa Rhu 10
|
RM320,000
|
RM137
|
2,336 sqft
|
|
Selling in Taman Mulia [Sikamat]? Homes here sold for a median of RM310,000.
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Taman Murni I & Ii
Taman Mulia [Sikamat]
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 Sikamat
Market Snapshot
ResidentialRM310,000
RM218 psfMedian transaction price
Taman Mulia, 71700 Mantin, Negeri Sembilan, Malaysia
MapsTaman Mulia [Sikamat] in Seremban, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM310K and a median price per square foot (PSF) of RM218.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM310K, with most transactions falling within a stable range of RM270K to RM350K, and a typical market range of RM284K to RM336K.
Most transactions involved low-cost house, with minimal variety in property types.
The median PSF stands at RM218, with core pricing between RM181 and RM255. Market pricing typically extends from RM190.61 to RM244.61, reflecting moderate variation in unit pricing. The spread of RM54.00 (IQR) and deviation of RM37 (MAD) suggest moderate price variations reflecting different property features.
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.