| LIST.MY · Senawang City Square | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Bandar Senawang 16
|
RM680,000
|
RM224
|
3,035 sqft
|
|
2-Sty Shop |
|
Pusat Bandar Senawang.
|
RM900,000
|
RM173
|
5,188 sqft
|
|
2-Sty Shop |
|
Jalan Bandar Senawang 16
|
RM700,000
|
RM263
|
2,659 sqft
|
|
2-Sty Shop |
|
Jalan Bandar Senawang 16
|
RM750,000
|
RM282
|
2,659 sqft
|
|
2-Sty Shop |
Selling in Senawang City Square? Homes here sold for a median of RM725,000.
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Senawang City Square
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 Senawang
Market Snapshot
CommercialRM725,000
RM244 psfMedian transaction price
Taman Tuanku Jaafar, Senawang, Negeri Sembilan, Malaysia
MapsSenawang City Square in Seremban, Negeri Sembilan recorded 4 subsale transactions in 2024, with a median price of RM725K and a median price per square foot (PSF) of RM244.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM725K, with most transactions falling within a stable range of RM680K to RM811K, and a typical market range of RM680K to RM900K.
Most transactions involved 2 - 2 1/2 storey shop, though some variety exists in the market.
The median PSF stands at RM244, with core pricing between RM202 and RM285. Market pricing typically extends from RM133.78 to RM353.53, reflecting moderate variation in unit pricing. The spread of RM219.75 (IQR) and deviation of RM42 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.