Taman Emas Suria

Lorong Emas Suria, Kampung Peserai Pantai, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size · Terrace →

Median
RM 250,000
PSF
RM 126
Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
LC House
RM 100,000
Jalan Peserai
1,130 sqft · RM 88 PSF
1,300 sqft
Terrace
RM 250,000
Lorong Emas Suria
1,313 sqft · RM 190 PSF
1,550 sqft
Terrace
RM 250,000
Jalan Emas Suria
1,561 sqft · RM 160 PSF
2,500 sqft
Terrace
RM 300,000
Lorong Emas Suria Jm 57
2,497 sqft · RM 120 PSF
3,000 sqft
Terrace
RM 380,000
Jalan Peserai
3,025 sqft · RM 126 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 250,000

RM 126 psf

Median transaction price

Taman Emas Suria
© OpenStreetMap · CARTO

Lorong Emas Suria, Kampung Peserai Pantai, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Maps

Taman Emas Suria in Batu Pahat, Johor recorded 5 subsale transactions in 2022, with a median price of RM 250K and a median price per square foot (PSF) of RM 126.

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 RM 250K, with most transactions falling within a stable range of RM 159K to RM 341K, and a typical market range of RM 235K to RM 265K.

Most transactions involved 1/2 storey semi-detached, though some variety exists in the market.

Price per square foot shows a median of RM 126, though individual units vary from RM 91 to RM 161 in the core range. The broader market spans RM 86.88 to RM 164.38, indicating diverse property characteristics. A wider spread (IQR: RM 77.50) and deviation (MAD: RM 35) 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.