Taman Rhu

Kedah, Kuala Muda, Pekula

Property Transactions

11 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM207,000
Jalan Rhu 1
1,195 sqft RM173 PSF
RM200,000
Jalan Rhu 1
1,195 sqft RM167 PSF
RM175,000
Lorong Rhu 1/1
1,195 sqft RM146 PSF
RM225,000
Lorong Rhu 1/2
1,195 sqft RM188 PSF
RM240,000
Lorong Rhu 2/5
2,303 sqft RM104 PSF
RM185,000
Lorong Rhu 3/2
1,195 sqft RM155 PSF
RM95,000
Lorong Rhu 3/1
1,195 sqft RM80 PSF
RM90,000
Lorong Rhu 2/5
1,195 sqft RM75 PSF
RM175,000
Lorong Rhu 1/1
1,195 sqft RM146 PSF
RM150,000
Lorong 2/4
1,195 sqft RM126 PSF
RM150,000
Lorong Rhu 3/3
1,195 sqft RM126 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekula

Market Snapshot

Residential

RM175,000

RM146 psf

Median transaction price

Taman Rhu
© OpenStreetMap · CARTO

Taman Rhu, Kuala Muda, Kedah

Taman Rhu in Kuala Muda, Kedah recorded 11 subsale transactions in 2023, with a median price of RM175K and a median price per square foot (PSF) of RM146.

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 RM175K, with most transactions falling within a stable range of RM129K to RM221K, and a typical market range of RM149K to RM201K.

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

Price per square foot shows a median of RM146, though individual units vary from RM111 to RM182 in the core range. The broader market spans RM116.97 to RM175.97, indicating diverse property characteristics. The spread of RM59.00 (IQR) and deviation of RM35 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.