| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Desa Rhu 18
|
RM285,000
|
RM265
|
1,076 sqft
|
|
|
|
Jalan Desa Rhu 18
|
RM295,000
|
RM274
|
1,076 sqft
|
|
|
|
Jalan Desa Rhu 19
|
RM280,000
|
RM260
|
1,076 sqft
|
|
|
|
Jalan Desa Rhu 19
|
RM269,000
|
RM250
|
1,076 sqft
|
|
|
|
Jalan Desa Rhu 18
|
RM260,000
|
RM242
|
1,076 sqft
|
|
|
|
Jalan Desarhu 22
|
RM287,000
|
RM267
|
1,076 sqft
|
|
Selling in Taman Mekar? Homes here sold for a median of RM264,500.
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Taman Indah (Seremban)
Taman Desa Kiara
Taman Desa Beringin
Taman Pelangi [Sikamat]
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Taman Murni I & Ii
Taman Mekar
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
ResidentialRM264,500
RM246 psfMedian transaction price
Sikamat, Pantai, Negeri Sembilan, Malaysia
MapsTaman Mekar in Seremban, Negeri Sembilan recorded 12 subsale transactions between 2021 and 2026, with a median price of RM265K and a median price per square foot (PSF) of RM250.
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 RM265K, with most transactions falling within a stable range of RM243K to RM286K, and a typical market range of RM240K to RM290K.
Most transactions involved low-cost house, with minimal variety in property types.
For price per square foot, the median is RM250, with most transactions between RM230 and RM270. The usual range is RM226.66 to RM273.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM46.50 and an average deviation (MAD) of RM20 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.