Taman Sri Bayu Simpang Rengam

33, Jalan Bayu 7, 86200 Simpang Renggam, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
LC House
RM125,000
Jalan Bayu 13
770 sqft · RM162 PSF
RM190,000
Jalan Bayu 15
770 sqft · RM247 PSF
RM150,000
Jalan Bayu 15
770 sqft · RM195 PSF
RM150,000
Jalan Bayu 15
770 sqft · RM195 PSF
1,350 sqft
LC House
RM125,000
Jalan Bayu 15
1,354 sqft · RM92 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM150,000

RM195 psf

Median transaction price

Taman Sri Bayu Simpang Rengam
© OpenStreetMap · CARTO

33, Jalan Bayu 7, 86200 Simpang Renggam, Johor Darul Ta'zim, Malaysia

Maps

Taman Sri Bayu Simpang Rengam in Kluang, Johor recorded 5 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM195.

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 RM150K, with most transactions falling within a stable range of RM126K to RM174K, and a typical market range of RM125K to RM190K.

Within the Low-Cost House category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM195, though individual units vary from RM144 to RM246 in the core range. The broader market spans RM178.32 to RM211.32, indicating diverse property characteristics. A wider spread (IQR: RM33.00) and deviation (MAD: RM51) 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.