Taman Kluang

86000 Kluang, Johor Darul Ta'zim, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
Terrace
RM230,000
Jalan Kopi
1,540 sqft · RM149 PSF
RM250,000
Jalan Tong Teow Kee
1,560 sqft · RM160 PSF
1,650 sqft
Terrace
RM300,000
Jalan Ooi Boon Keng
1,650 sqft · RM182 PSF
RM280,000
Jalan Siew Teng Hoi
1,650 sqft · RM170 PSF
RM330,000
Jalan Siew Teng Yhoi
1,650 sqft · RM200 PSF
1,750 sqft
Terrace
RM350,000
Jalan Siew Teng Yhoi
1,760 sqft · RM199 PSF
RM300,000
Jalan Siew Tong Yhoi
1,760 sqft · RM170 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM300,000

RM170 psf

Median transaction price

Taman Kluang
© OpenStreetMap · CARTO

Taman Kluang, 86000 Kluang, Johor Darul Ta'zim, Malaysia

Maps

Taman Kluang in Kluang, Johor recorded 7 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM170.

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 RM300K, with most transactions falling within a stable range of RM261K to RM339K, and a typical market range of RM278K to RM323K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM170, with core pricing between RM153 and RM188. Market pricing typically extends from RM155.70 to RM185.20, reflecting moderate variation in unit pricing. With an IQR of RM29.50 and MAD of RM18, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.