Taman Sri Maju

Taman Sri, 81850 Layang-Layang, Johor Darul Ta'zim, Malaysia

Property Transactions

8 subsales grouped by size · LC House →

Period
transactions middle 50% (P25–P75)
750 sqft
LC House
RM118,000
Jalan Melati 2
770 sqft · RM153 PSF
RM90,000
Jalan. Melati 3
770 sqft · RM117 PSF
RM65,000
Jalan.melati 4
749 sqft · RM87 PSF
RM80,000
Jalan. Melati 3
770 sqft · RM104 PSF
RM100,000
Jalan Melati 4
770 sqft · RM130 PSF
1,300 sqft
Terrace
RM180,000
Jalan Melati 7
1,320 sqft · RM136 PSF
1,550 sqft
Terrace
RM300,000
Jalan Melati 8
1,527 sqft · RM196 PSF
1,750 sqft
Terrace
RM220,000
Jalan Sutera 1
1,760 sqft · RM125 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM109,000

RM128 psf

Median transaction price

Taman Sri Maju
© OpenStreetMap · CARTO

Taman Sri, 81850 Layang-Layang, Johor Darul Ta'zim, Malaysia

Maps

Taman Sri Maju in Kluang, Johor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM109K and a median price per square foot (PSF) of RM130.

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 RM109K, with most transactions falling within a stable range of RM73K to RM146K, and a typical market range of RM65K to RM160K.

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

The median PSF stands at RM130, with core pricing between RM113 and RM147. Market pricing typically extends from RM116.61 to RM143.11, reflecting moderate variation in unit pricing. With an IQR of RM26.50 and MAD of RM17, the PSF demonstrates reasonable consistency across the market.

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.