Dataran Sentral Seremban

B-2, 1, Jalan Dataran Sentral 2, 70200 Seremban, Negeri Sembilan, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 250,000
PSF
RM 165
Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
Shop
RM 525,000
Level G
1,292 sqft · RM 406 PSF
RM 485,000
Level G
1,292 sqft · RM 375 PSF
1,500 sqft
Shop
RM 230,000
Level 2
1,496 sqft · RM 154 PSF
RM 250,000
Level 3
1,496 sqft · RM 167 PSF
1,550 sqft
Shop
RM 250,000
Level 1
1,528 sqft · RM 164 PSF
RM 215,000
Level 3
1,528 sqft · RM 141 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 250,000

RM 165 psf

Median transaction price

Dataran Sentral Seremban
© OpenStreetMap · CARTO

B-2, 1, Jalan Dataran Sentral 2, 70200 Seremban, Negeri Sembilan, Malaysia

Maps

Dataran Sentral Seremban in Seremban, Negeri Sembilan recorded 6 subsale transactions in 2023, with a median price of RM 250K and a median price per square foot (PSF) of RM 165.

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 RM 250K, with most transactions falling within a stable range of RM 215K to RM 378K, and a typical market range of RM 215K to RM 378K.

Most transactions involved shop unit/retail lot, with minimal variety in property types.

Price per square foot shows a median of RM 165, though individual units vary from RM 54 to RM 277 in the core range. The broader market spans RM 94.33 to RM 236.33, indicating diverse property characteristics. A wider spread (IQR: RM 142.00) and deviation (MAD: RM 111) indicate significant PSF variations, likely due to diverse property types or conditions.

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.