Kompleks Kelab Melayu (K.m Plaza)

Bandar Seremban, 70000 Seremban, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 240,000
PSF
RM 572
Price Size
Period
transactions middle 50% (P25–P75)
300 sqft
Shop
RM 240,000
Level G
312 sqft · RM 769 PSF
350 sqft
Shop
RM 250,000
Level G
355 sqft · RM 704 PSF
400 sqft
Shop
RM 100,000
Level 03
377 sqft · RM 265 PSF
700 sqft
Shop
RM 400,000
Level G
700 sqft · RM 572 PSF
RM 90,000
Level 3
721 sqft · RM 125 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 240,000

RM 572 psf

Median transaction price

Kompleks Kelab Melayu (K.m Plaza)
© OpenStreetMap · CARTO

Bandar Seremban, 70000 Seremban, Negeri Sembilan, Malaysia

Maps

Kompleks Kelab Melayu (K.m Plaza) in Seremban, Negeri Sembilan recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 240K and a median price per square foot (PSF) of RM 572.

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 240K, with most transactions falling within a stable range of RM 126K to RM 354K, and a typical market range of RM 165K to RM 315K.

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

Price per square foot shows a median of RM 572, though individual units vary from RM 321 to RM 822 in the core range. The broader market spans RM 352.21 to RM 791.21, indicating diverse property characteristics. A wider spread (IQR: RM 439.00) and deviation (MAD: RM 251) 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.