Taman Soga

83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Property Transactions

18 subsales grouped by size

Median
RM 63,500
PSF
RM 123
Price Size
Period
transactions middle 50% (P25–P75)
500 sqft
LC Flat
RM 40,000
Level 2
517 sqft · RM 77 PSF
RM 62,000
Level 2
520 sqft · RM 119 PSF
RM 65,000
Level 1
517 sqft · RM 126 PSF
RM 62,000
Level 2
517 sqft · RM 120 PSF
RM 85,000
Level 1
517 sqft · RM 165 PSF
RM 80,000
Level 4
520 sqft · RM 154 PSF
+11 more
650 sqft
LC Flat
RM 110,000
Level 2
671 sqft · RM 164 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 63,500

RM 123 psf

Median transaction price

High

Rental Yield Data

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Taman Soga, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Maps

Taman Soga in Batu Pahat, Johor recorded 18 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 64K and a median price per square foot (PSF) of RM 123.

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 64K, with most transactions falling within a stable range of RM 45K to RM 82K, and a typical market range of RM 30K to RM 110K.

Within the Low-Cost Flat category, flats dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM 123, though individual units vary from RM 92 to RM 154 in the core range. The broader market spans RM 83.53 to RM 162.28, indicating diverse property characteristics. A wider spread (IQR: RM 78.75) and deviation (MAD: RM 31) 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.