Taman Suraya, Jementah - Tr 140

Taman Suraya, Jementah, Taman Pelangi, 85200 Jementah, Johor, Malaysia

Property Transactions

5 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM120,000
Jalan Cantik 3
1,098 sqft · RM109 PSF
RM85,000
Jalan Cantik 6
1,098 sqft · RM77 PSF
RM80,000
Jalan Cantik 6
1,098 sqft · RM73 PSF
RM50,000
Jalan Cantek 5
1,098 sqft · RM46 PSF
2,250 sqft
2-Sty Shop
RM500,000
Jalan Cantik
2,228 sqft · RM224 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Suraya, Jementah - Tr 140? Homes here sold for a median of RM85,000.

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Taman Suraya, Jementah - Tr 140
© OpenStreetMap · CARTO

Taman Suraya, Jementah, Taman Pelangi, 85200 Jementah, Johor, Malaysia

Maps

Taman Suraya, Jementah - Tr 140 in Segamat, Johor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM85K and a median price per square foot (PSF) of RM77.

This area contains both residential and commercial properties. View 4 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM85K, with most transactions falling within a stable range of RM50K to RM120K, and a typical market range of RM65K to RM105K.

Most transactions involved low-cost house, though some variety exists in the market.

Price per square foot shows a median of RM77, though individual units vary from RM46 to RM108 in the core range. The broader market spans RM59.42 to RM95.42, indicating diverse property characteristics. A wider spread (IQR: RM36.00) and deviation (MAD: RM31) indicate significant PSF variations, likely due to diverse property types or conditions.

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.