Taman Segar, Sungai Segamat - Tr 590

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

Property Transactions

7 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM100,000
Jalan Cenderawasih 18
700 sqft RM143 PSF
RM100,000
Jalan Cenderawasih 15
700 sqft RM143 PSF
RM110,000
Jalan Cenderawasih 17
700 sqft RM157 PSF
RM83,000
Jalan Cenderawasih 15
700 sqft RM119 PSF
RM100,000
Jalan Cenderawasih 17
700 sqft RM143 PSF
RM60,000
Jalan Cenderawasih 14
700 sqft RM86 PSF
RM100,000
Jalan Cenderawasih 15
700 sqft RM143 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM100,000

RM143 psf

Median transaction price

Taman Segar, Sungai Segamat - Tr 590
© OpenStreetMap · CARTO

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

Maps

Taman Segar, Sungai Segamat - Tr 590 in Segamat, Johor recorded 7 subsale transactions between 2021 and 2026, sized between 675 and 724 sqft, with a median price of RM100K 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 RM100K, with most transactions falling within a stable range of RM85K to RM110K, and a typical market range of RM60K to RM110K.

Most transactions involved low-cost house, with moderate diversity in property types available.

The median PSF stands at RM143, with core pricing between RM121 and RM165. Market pricing typically extends from RM125.86 to RM159.86, reflecting moderate variation in unit pricing. The spread of RM34.00 (IQR) and deviation of RM22 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.