Kampung Baru Kahang

Malaysia, Johor Darul Ta'zim, Kahang, Kampung Kahang, 86700

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,250 sqft
Bungalow
RM220,000
Jalan Ikan Merah 5
3,267 sqft · RM67 PSF
RM140,000
Jalan Ikan Merah 4
3,267 sqft · RM43 PSF
4,100 sqft
Bungalow
RM250,000
Jalan Selar
4,118 sqft · RM61 PSF
4,500 sqft
Bungalow
RM380,000
Jalan Parang 2/1
4,510 sqft · RM84 PSF
RM191,000
Jalan Parang 2/1
4,510 sqft · RM42 PSF
7,350 sqft
Bungalow
RM180,000
Jalan Ikan Merah 5
7,351 sqft · RM24 PSF
Legend Recent Highest Price Highest PSF

Selling in Kampung Baru Kahang? Homes here sold for a median of RM205,500.

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Kampung Baru Kahang
© OpenStreetMap · CARTO

Malaysia, Johor Darul Ta'zim, Kahang, Kampung Kahang, 86700

Maps

Kampung Baru Kahang in Kluang, Johor recorded 6 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM206K and a median price per square foot (PSF) of RM52.

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 RM206K, with most transactions falling within a stable range of RM140K to RM282K, and a typical market range of RM176K to RM235K.

Within the Bungalow category, detached dominated the market, with minimal variety in property types.

Price per square foot shows a median of RM52, though individual units vary from RM32 to RM71 in the core range. The broader market spans RM40.16 to RM63.41, indicating diverse property characteristics. A wider spread (IQR: RM23.25) and deviation (MAD: RM19) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.