Bandar Seremban Selatan

71450 Seremban, Negeri Sembilan, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
6,000 sqft
Bungalow
RM490,000
Jalan Bss 2/4
5,996 sqft · RM82 PSF
7,200 sqft
Bungalow
RM600,000
Jalan Bss 1/3
7,180 sqft · RM84 PSF
11,000 sqft
Bungalow
RM600,000
Jalan Bbs 2/4A
11,022 sqft · RM54 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Seremban Selatan? Homes here sold for a median of RM600,000.

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Market Snapshot

RM600,000

RM82 psf

Median transaction price

RM177,500

RM115 psf

Median transaction price

Bandar Seremban Selatan
© OpenStreetMap · CARTO

Bandar Seremban Selatan, 71450 Seremban, Negeri Sembilan, Malaysia

Maps

Bandar Seremban Selatan in Seremban, Negeri Sembilan recorded 3 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM600K and a median price per square foot (PSF) of RM82.

This area contains both residential and commercial properties. View 66 residential properties or 8 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM600K, with most transactions falling within a stable range of RM548K to RM600K, and a typical market range of RM545K to RM600K.

Within the Bungalow category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM82, with core pricing between RM68 and RM95. Market pricing typically extends from RM39.73 to RM123.73, reflecting moderate variation in unit pricing. The spread of RM84.00 (IQR) and deviation of RM13 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.