Kompleks Lucky Plaza

Lorong Sri Pulai 38/2, 70200 Seremban, Negeri Sembilan, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM110,000
PSF
RM339
Period
transactions middle 50% (P25–P75)
200 sqft
Shop
RM73,000
Level 02
215 sqft · RM339 PSF
250 sqft
Shop
RM65,000
Level MZ
269 sqft · RM242 PSF
300 sqft
Shop
RM70,000
Level 1
291 sqft · RM241 PSF
350 sqft
Shop
RM120,000
Level G
334 sqft · RM360 PSF
RM130,000
Level G
334 sqft · RM390 PSF
RM123,000
Level G
334 sqft · RM369 PSF
550 sqft
Shop
RM135,000
Level MZ
538 sqft · RM251 PSF
650 sqft
Shop
RM100,000
Level 3
657 sqft · RM152 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM110,000

RM295 psf

Median transaction price

Kompleks Lucky Plaza
© OpenStreetMap · CARTO

Lorong Sri Pulai 38/2, 70200 Seremban, Negeri Sembilan, Malaysia

Maps

Kompleks Lucky Plaza in Seremban, Negeri Sembilan recorded 8 subsale transactions between 2021 and 2026, with a median price of RM110K and a median price per square foot (PSF) of RM339.

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 RM110K, with most transactions falling within a stable range of RM88K to RM133K, and a typical market range of RM84K to RM135K.

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

The median PSF stands at RM339, with core pricing between RM280 and RM399. Market pricing typically extends from RM278.75 to RM399.25, reflecting moderate variation in unit pricing. The spread of RM120.50 (IQR) and deviation of RM60 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.