Taman Hajjad

Taman Hajat,Jalan Tongkang Pechah, Taman Sri Idaman, 83000 Batu Pahat, Johor, Malaysia

Property Transactions

10 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM608,000
3,270 sqft
RM186 PSF · Semi-D
RM140,000
770 sqft
RM182 PSF · LC House
RM589,000
3,270 sqft
RM180 PSF · Semi-D
RM590,000
3,270 sqft
RM180 PSF · Semi-D
RM222,000
770 sqft
RM288 PSF
RM100,000
770 sqft
RM130 PSF
RM330,000
1,540 sqft
RM214 PSF
RM300,000
1,540 sqft
RM195 PSF
RM330,000
1,540 sqft
RM214 PSF
RM420,000
3,146 sqft
RM134 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Hajjad? Homes here sold for a median of RM330,000.

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Market Snapshot

Residential

RM300,000

RM195 psf

Median transaction price

Taman Hajjad
© OpenStreetMap · CARTO

Taman Hajat,Jalan Tongkang Pechah, Taman Sri Idaman, 83000 Batu Pahat, Johor, Malaysia

Maps

Taman Hajjad in Batu Pahat, Johor recorded 10 subsale transactions between 2021 and 2026, with a median price of RM330K and a median price per square foot (PSF) of RM186.

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 RM330K, with most transactions falling within a stable range of RM181K to RM479K, and a typical market range of RM177K to RM483K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM186, with core pricing between RM165 and RM206. Market pricing typically extends from RM171.33 to RM200.58, reflecting moderate variation in unit pricing. With an IQR of RM29.25 and MAD of RM21, the PSF demonstrates reasonable consistency across the market.

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.