| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Rasah
|
RM170,000
|
RM106
|
1,600 sqft
|
|
|
Jalan Moksum 3
|
RM270,000
|
RM141
|
1,920 sqft
|
|
|
|
Jalan Ms 1
|
RM270,000
|
RM141
|
1,920 sqft
|
|
|
|
Jalan Ms 1
|
RM250,000
|
RM130
|
1,920 sqft
|
|
|
|
Off Jalan Rasah
|
RM260,000
|
RM135
|
1,920 sqft
|
|
|
|
Off Jalan Rasah
|
RM260,000
|
RM135
|
1,920 sqft
|
|
|
|
Off Jalan Rasah
|
RM285,000
|
RM148
|
1,920 sqft
|
|
|
Lorong Mok Sum 1/2
|
RM228,000
|
RM78
|
2,936 sqft
|
|
|
Jalan Rasah
|
RM370,000
|
RM109
|
3,408 sqft
|
|
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Taman Mok Sum
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 Bandar Seremban
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Market Snapshot
ResidentialRM260,000
RM135 psfMedian transaction price
Taman Mok Sum, 70300 Seremban, Negeri Sembilan, Malaysia
MapsTaman Mok Sum in Seremban, Negeri Sembilan recorded 9 subsale transactions between 2021 and 2026, with a median price of RM260K and a median price per square foot (PSF) of RM135.
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 RM260K, with most transactions falling within a stable range of RM250K to RM270K, and a typical market range of RM250K to RM270K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM135, with most transactions between RM129 and RM141. The usual range is RM119.42 to RM151.42, showing that most units are priced quite close to each other. A typical spread (IQR) of RM32.00 and an average deviation (MAD) of RM6 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.