Bandar Segamat Baru

85000 Segamat District, Johor, Malaysia

Property Transactions

8 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM160,000
Jalan Serikaya 14
743 sqft RM215 PSF
RM118,000
Jalan Serikaya 12A
743 sqft RM159 PSF
RM150,000
Jalan Serikaya 12A
743 sqft RM202 PSF
RM160,000
Jalan Serikaya 13
743 sqft RM215 PSF
RM160,000
Jalan Serikaya 13
743 sqft RM215 PSF
RM160,000
Jalan Serikaya 12A
743 sqft RM215 PSF
RM165,000
Jalan Serikaya 12
743 sqft RM222 PSF
RM125,000
Jalan Serikaya 12
743 sqft RM168 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Segamat Baru? Homes here sold for a median of RM160,000.

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Market Snapshot

Residential

RM160,000

RM215 psf

Median transaction price

Bandar Segamat Baru
© OpenStreetMap · CARTO

Bandar Segamat Baru, 85000 Segamat District, Johor, Malaysia

Maps

Bandar Segamat Baru in Segamat, Johor recorded 8 subsale transactions between 2021 and 2026, sized between 725 and 774 sqft, with a median price of RM160K and a median price per square foot (PSF) of RM215.

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 RM160K, with most transactions falling within a stable range of RM143K to RM165K, and a typical market range of RM118K to RM165K.

Most transactions involved low-cost house, with high diversity across multiple property types.

The median PSF stands at RM215, with core pricing between RM193 and RM238. Market pricing typically extends from RM182.31 to RM248.56, reflecting moderate variation in unit pricing. With an IQR of RM66.25 and MAD of RM23, the PSF demonstrates reasonable consistency across the market.

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.