Taman Permai, Sungai Segamat - Tr 83

Taman Permai, 85000 Segamat, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
Terrace
RM320,000
Jalan Permai 1
1,540 sqft · RM208 PSF
RM220,000
Jalan Permai 1
1,540 sqft · RM143 PSF
RM220,000
Jalan Permai
1,540 sqft · RM143 PSF
1,750 sqft
Terrace
RM295,000
Jalan Permai 2
1,760 sqft · RM168 PSF
3,300 sqft
Terrace
RM450,000
Jalan Permai 1
3,321 sqft · RM136 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Permai, Sungai Segamat - Tr 83? Homes here sold for a median of RM295,000.

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Taman Permai, Sungai Segamat - Tr 83
© OpenStreetMap · CARTO

Taman Permai, 85000 Segamat, Johor Darul Ta'zim, Malaysia

Maps

Taman Permai, Sungai Segamat - Tr 83 in Segamat, Johor recorded 5 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM295K and a median price per square foot (PSF) of RM143.

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 RM295K, with most transactions falling within a stable range of RM220K to RM380K, and a typical market range of RM248K to RM342K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.

The median PSF stands at RM143, with core pricing between RM116 and RM169. Market pricing typically extends from RM115.36 to RM170.36, reflecting moderate variation in unit pricing. The spread of RM55.00 (IQR) and deviation of RM26 (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.