PR1MA @ Seremban Sentral

Bukit Rasah, 70300 Seremban, Negeri Sembilan, Malaysia

Property Transactions

15 subsales grouped by size

Median
RM348,000
PSF
RM289
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Condo
RM348,000
Level 16
1,206 sqft · RM289 PSF
RM348,000
Level 12
1,206 sqft · RM289 PSF
RM348,000
Level 11
1,216 sqft · RM286 PSF
RM348,000
Level 17
1,216 sqft · RM286 PSF
RM348,000
Level 23
1,206 sqft · RM289 PSF
RM348,000
Level 17
1,216 sqft · RM286 PSF
+9 more
Legend Recent Highest Price Highest PSF

Selling in PR1MA @ Seremban Sentral? Homes here sold for a median of RM348,000.

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Market Snapshot

Residential

RM348,000

RM289 psf

Median transaction price

PR1MA @ Seremban Sentral
© OpenStreetMap · CARTO

Bukit Rasah, 70300 Seremban, Negeri Sembilan, Malaysia

Maps

PR1MA @ Seremban Sentral in Seremban, Negeri Sembilan recorded 15 subsale transactions between 2021 and 2026, sized between 1,175 and 1,224 sqft, with a median price of RM348K and a median price per square foot (PSF) of RM289.

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 RM348K, with most transactions falling within a stable range of RM348K to RM366K, and a typical market range of RM348K to RM387K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM289, with most transactions between RM275 and RM303. The usual range is RM270.50 to RM307.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM37.00 and an average deviation (MAD) of RM14 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.