Suriaman 2

351, Suriaman 2/8, 2A, Persiaran Suriaman, Bandar Sri Sendayan, 71950 Seremban, Negeri Sembilan, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM 640,000
PSF
RM 273
Price Size
Period
transactions middle 50% (P25–P75)
2,150 sqft
2-Sty Terrace
RM 530,000
Jalan Suriaman2/4
2,153 sqft · RM 246 PSF
2,500 sqft
2-Sty Terrace
RM 750,000
Jalan Suriaman 2/4
2,497 sqft · RM 300 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

1 auction properties in Suriaman 2

No. 487, Jalan Suriaman 2/14, Suriaman 2, 71950, Bandar Sri Sendayan, Negeri Sembilan
Type Reserve Price Terrace RM 664,200
PSF Size Auction Date RM 153.50 4,327 sqft 13 Aug 2026
Suriaman 2
© OpenStreetMap · CARTO

351, Suriaman 2/8, 2A, Persiaran Suriaman, Bandar Sri Sendayan, 71950 Seremban, Negeri Sembilan, Malaysia

Maps

Suriaman 2 in Seremban, Negeri Sembilan recorded 2 subsale transactions in 2023, with a median price of RM 640K and a median price per square foot (PSF) of RM 273.

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 RM 640K, with most transactions falling within a stable range of RM 530K to RM 750K, and a typical market range of RM 530K to RM 750K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM 273, with most transactions between RM 246 and RM 300. The usual range is RM 258.89 to RM 287.64, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 28.75 and an average deviation (MAD) of RM 27 indicate a highly stable PSF trend across properties.

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.