| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Seri Sulong 1
|
RM 270,000
|
RM 135
|
2,002 sqft
|
|
|
|
Jalan Sri Sulong 1
|
RM 280,000
|
RM 140
|
2,002 sqft
|
|
|
|
Jalan Seri Sulong 1
|
RM 225,000
|
RM 112
|
2,002 sqft
|
|
|
Jalan Sri Sulong 1
|
RM 300,000
|
RM 105
|
2,863 sqft
|
|
|
Jalan Sri Sulong 1
|
RM 700,000
|
RM 62
|
11,248 sqft
|
|
Semi-D Factory |
|
Sri Sulong 3
|
RM 715,000
|
RM 64
|
11,248 sqft
|
|
Factory |
|
Sri Sulong 3
|
RM 715,000
|
RM 64
|
11,248 sqft
|
|
Factory |
|
Sri Sulong 6
|
RM 715,000
|
RM 64
|
11,248 sqft
|
|
Factory |
|
Jalan Sri Sulong Utama
|
RM 900,000
|
RM 51
|
17,750 sqft
|
|
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Market Snapshot
CommercialRM 700,000
RM 64 psfMedian transaction price
No 13, jln ss38/a, Taman industri Sri Sulong, 83500, Johor Darul Ta'zim, Malaysia
MapsTaman Industri Sri Sulong in Batu Pahat, Johor recorded 9 subsale transactions in 2024, with a median price of RM 700K and a median price per square foot (PSF) of RM 64.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 700K, with most transactions falling within a stable range of RM 454K to RM 900K, and a typical market range of RM 476K to RM 900K.
Most transactions involved terraced factory/warehouse, with moderate diversity in property types available.
Price per square foot shows a median of RM 64, though individual units vary from RM 31 to RM 96 in the core range. The broader market spans RM 49.82 to RM 77.32, indicating diverse property characteristics. A wider spread (IQR: RM 27.50) and deviation (MAD: RM 33) 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.