Taman Sutera Villa, Sungai Segamat

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

Property Transactions

6 subsales grouped by size

Median
RM590,000
PSF
RM95
Period
transactions middle 50% (P25–P75)
5,600 sqft
Bungalow
RM560,000
Taman Sutera Villa
5,589 sqft · RM100 PSF
5,650 sqft
Bungalow
RM560,000
Taman Suteri Villa
5,663 sqft · RM99 PSF
6,100 sqft
Bungalow
RM580,000
Taman Suteri Villa
6,092 sqft · RM95 PSF
6,850 sqft
Bungalow
RM600,000
Taman Sutera Villa
6,857 sqft · RM88 PSF
7,650 sqft
Bungalow
RM680,000
Taman Sutera Villa
7,671 sqft · RM89 PSF
10,500 sqft
Bungalow
RM710,000
Taman Suteri Villa
10,479 sqft · RM68 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM590,000

RM92 psf

Median transaction price

Taman Sutera Villa, Sungai Segamat
© OpenStreetMap · CARTO

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

Maps

Taman Sutera Villa, Sungai Segamat in Segamat, Johor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM590K and a median price per square foot (PSF) of RM95.

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 RM590K, with most transactions falling within a stable range of RM560K to RM620K, and a typical market range of RM560K to RM638K.

Most transactions involved detached, with minimal variety in property types.

For price per square foot, the median is RM95, with most transactions between RM90 and RM101. The usual range is RM90.34 to RM100.09, showing that most units are priced quite close to each other. A typical spread (IQR) of RM9.75 and an average deviation (MAD) of RM6 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.