Taman Bintang Indah, Gemas

1 8, Jalan Zurah, taman bintang indah, 85000 segamat, Johor Darul Ta'zim, Malaysia

Property Transactions

7 subsales grouped by road

Median
RM300,000
PSF
RM156
Period
transactions middle 50% (P25–P75)
RM300,000
1,894 sqft
RM158 PSF
RM300,000
1,948 sqft
RM154 PSF
RM300,000
1,733 sqft
RM173 PSF
RM280,000
1,798 sqft
RM156 PSF
RM290,000
1,765 sqft
RM164 PSF
RM267,000
1,861 sqft
RM143 PSF
RM300,000
2,018 sqft
RM149 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bintang Indah, Gemas? Homes here sold for a median of RM300,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Bintang Indah, Gemas

What’s happening in Taman Bintang Indah, Gemas?

No posts about Taman Bintang Indah, Gemas yet. Be the first to share what’s happening here.

Taman Bintang Indah, Gemas
© OpenStreetMap · CARTO

1 8, Jalan Zurah, taman bintang indah, 85000 segamat, Johor Darul Ta'zim, Malaysia

Maps

Taman Bintang Indah, Gemas in Segamat, Johor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM156.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM156, with most transactions between RM149 and RM163. The usual range is RM151.02 to RM160.52, showing that most units are priced quite close to each other. A typical spread (IQR) of RM9.50 and an average deviation (MAD) of RM7 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.