| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan S/S 31
|
RM 130,000
|
RM 118
|
1,098 sqft
|
|
|
|
Jalan S/S 26
|
RM 135,000
|
RM 123
|
1,100 sqft
|
|
|
|
Jalan S/S 41
|
RM 165,000
|
RM 150
|
1,098 sqft
|
|
|
|
Jalan SS 37
|
RM 90,000
|
RM 82
|
1,098 sqft
|
|
|
Jalan S/S 25
|
RM 220,000
|
RM 143
|
1,539 sqft
|
|
|
|
Jalan S/S 23
|
RM 275,000
|
RM 179
|
1,539 sqft
|
|
|
Jalan Sri Sulong 22
|
RM 360,000
|
RM 129
|
2,799 sqft
|
|
|
Jalan Sri Sulong Utama
|
RM 280,000
|
RM 90
|
3,122 sqft
|
|
|
Jalan SS 21
|
RM 360,000
|
RM 113
|
3,197 sqft
|
|
|
Jalan.s/S 21
|
RM 400,000
|
RM 63
|
6,345 sqft
|
|
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Market Snapshot
ResidentialRM 247,500
RM 121 psfMedian transaction price
No 13, jln ss38/a, Taman industri Sri Sulong, 83500, Johor Darul Ta'zim, Malaysia
MapsTaman Industri Sri Sulong - Tr. 633 in Batu Pahat, Johor recorded 10 subsale transactions in 2023, with a median price of RM 248K and a median price per square foot (PSF) of RM 121.
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 248K, with most transactions falling within a stable range of RM 143K to RM 352K, and a typical market range of RM 178K to RM 317K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with high diversity across multiple property types.
Price per square foot shows a median of RM 121, though individual units vary from RM 88 to RM 153 in the core range. The broader market spans RM 92.57 to RM 148.57, indicating diverse property characteristics. A wider spread (IQR: RM 56.00) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.