Jalan Pt Raja - Ayer Hitam

Jln Parit Raja, 86400 Parit Raja, Johor Darul Ta'zim, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
2,100 sqft
Terrace
RM358,000
Taman Firus
2,106 sqft · RM170 PSF
RM324,000
Rizab 2
2,086 sqft · RM155 PSF
3,200 sqft
Semi-D
RM430,000
Jalan Durian
3,200 sqft · RM134 PSF
4,150 sqft
Bungalow
RM500,000
Kampung. Parit Sikun Laut
4,162 sqft · RM120 PSF
4,650 sqft
Bungalow
RM493,000
Jalan Persiaran Muttaqin
4,639 sqft · RM106 PSF
4,900 sqft
Bungalow
RM420,000
Lorong Hj Nassir
4,887 sqft · RM86 PSF
10,700 sqft
Bungalow
RM350,000
Taman Suprima
10,708 sqft · RM33 PSF
Legend Recent Highest Price Highest PSF

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Jalan Pt Raja - Ayer Hitam
© OpenStreetMap · CARTO

Jln Parit Raja, 86400 Parit Raja, Johor Darul Ta'zim, Malaysia

Maps

Jalan Pt Raja - Ayer Hitam in Batu Pahat, Johor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM420K and a median price per square foot (PSF) of RM120.

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 RM420K, with most transactions falling within a stable range of RM350K to RM490K, and a typical market range of RM366K to RM474K.

Most transactions involved detached, with moderate diversity in property types available.

Price per square foot shows a median of RM120, though individual units vary from RM86 to RM154 in the core range. The broader market spans RM95.88 to RM144.38, indicating diverse property characteristics. A wider spread (IQR: RM48.50) and deviation (MAD: RM34) indicate significant PSF variations, likely due to diverse property types or conditions.

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.