Taman Bintang Serasi

Taman Bintang, 81400 Senai, Johor Darul Ta'zim, Malaysia

Property Transactions

13 subsales grouped by road

Median
RM350,000
PSF
RM227
Period
transactions middle 50% (P25–P75)
RM385,000
1,539 sqft
RM250 PSF
RM380,000
1,539 sqft
RM247 PSF
RM400,000
1,539 sqft
RM260 PSF
RM320,000
1,539 sqft
RM208 PSF
RM320,000
1,539 sqft
RM208 PSF
RM325,000
1,539 sqft
RM211 PSF
RM360,000
1,539 sqft
RM234 PSF
RM360,000
1,539 sqft
RM234 PSF
RM350,000
1,539 sqft
RM227 PSF
RM370,000
1,432 sqft
RM258 PSF
RM300,000
1,539 sqft
RM195 PSF
RM330,000
1,539 sqft
RM214 PSF
RM300,000
1,539 sqft
RM195 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM350,000

RM227 psf

Median transaction price

Taman Bintang Serasi
© OpenStreetMap · CARTO

Taman Bintang, 81400 Senai, Johor Darul Ta'zim, Malaysia

Maps

Taman Bintang Serasi in Kulai, Johor recorded 13 subsale transactions between 2021 and 2026, with a median price of RM350K and a median price per square foot (PSF) of RM227.

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 RM350K, with most transactions falling within a stable range of RM320K to RM380K, and a typical market range of RM325K to RM375K.

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

For price per square foot, the median is RM227, with most transactions between RM208 and RM246. The usual range is RM207.88 to RM246.88, showing that most units are priced quite close to each other. A typical spread (IQR) of RM39.00 and an average deviation (MAD) of RM19 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.