Rumah Murah Yap Tau Sah

Kampung Yap Tau Sah, 86000 Kluang, Johor, Malaysia

Property Transactions

12 subsales found

Median
RM95,000
PSF
RM91
Price Size
Period
transactions middle 50% (P25–P75)
RM65,000
Jalan Sawi 5/1
1,044 sqft RM62 PSF
RM100,000
Jalan Sawi 4
1,044 sqft RM96 PSF
RM135,000
Jalan Sawi 6
1,044 sqft RM129 PSF
RM165,000
Jalan Sawi 5
1,044 sqft RM158 PSF
RM115,000
Jalan Sawi
1,044 sqft RM110 PSF
RM90,000
Jalan Sawi 5
1,044 sqft RM86 PSF
RM50,000
Jalan Sawi 6
1,044 sqft RM48 PSF
RM45,000
Jalan Sawi 5
1,044 sqft RM43 PSF
RM53,000
Lorong Sawi 5/1
1,044 sqft RM51 PSF
RM130,000
Lorong Sawi 3/1
1,044 sqft RM125 PSF
RM90,000
Jalan Sawi
1,044 sqft RM86 PSF
RM140,000
Jalan Sawi 1
1,044 sqft RM134 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM95,000

RM91 psf

Median transaction price

Rumah Murah Yap Tau Sah
© OpenStreetMap · CARTO

Kampung Yap Tau Sah, 86000 Kluang, Johor, Malaysia

Maps

Rumah Murah Yap Tau Sah in Kluang, Johor recorded 12 subsale transactions between 2021 and 2026, sized between 1,025 and 1,074 sqft, with a median price of RM95K and a median price per square foot (PSF) of RM91.

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 RM95K, with most transactions falling within a stable range of RM57K to RM133K, and a typical market range of RM61K to RM129K.

Most transactions involved low-cost house, with minimal variety in property types.

Price per square foot shows a median of RM91, though individual units vary from RM55 to RM127 in the core range. The broader market spans RM57.24 to RM124.74, indicating diverse property characteristics. A wider spread (IQR: RM67.50) and deviation (MAD: RM36) 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.