| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Hassan Abdullah
|
RM 900,000
|
RM 222
|
4,058 sqft
|
|
|
Jalan Pee Kang Hai
|
RM 1,000,000
|
RM 208
|
4,801 sqft
|
|
|
Off Jalan Dato Syed Abd Kadir
|
RM 1,100,000
|
RM 215
|
5,124 sqft
|
|
|
|
Off Jalan Dato Syed Abd Kadir
|
RM 1,100,000
|
RM 215
|
5,124 sqft
|
|
|
Off Jalan Dato Syed Abd Kadir
|
RM 1,100,000
|
RM 214
|
5,145 sqft
|
|
|
Jalan Dato Syed Abd Kadir
|
RM 1,100,000
|
RM 197
|
5,597 sqft
|
|
|
|
Jalan Dato Syed Abd Kadir
|
RM 1,100,000
|
RM 197
|
5,597 sqft
|
|
|
|
Jalan Dato Syed Abd Kadir
|
RM 1,100,000
|
RM 197
|
5,597 sqft
|
|
|
Off Jalan Dato Syed Abd Kadir
|
RM 1,200,000
|
RM 197
|
6,092 sqft
|
|
|
Jalan Dato Syed Abd Kadir
|
RM 1,200,000
|
RM 180
|
6,674 sqft
|
|
|
Jalan Dato Syed Abd Kadir
|
RM 3,060,000
|
RM 415
|
7,373 sqft
|
|
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Market Snapshot
CommercialRM 1,100,000
RM 208 psfMedian transaction price
Kampung Abdullah, 85000 Segamat, Johor Darul Ta'zim, Malaysia
MapsKampung Abdullah, Sungai. Sgt - Tr 257 in Segamat, Johor recorded 11 subsale transactions between 2021 and 2026, with a median price of RM 1.10 million and a median price per square foot (PSF) of RM 208.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved 1 - 1 1/2 storey shop, with minimal variety in property types.
Price per square foot shows a median of RM 208, though individual units vary from RM 147 to RM 270 in the core range. The broader market spans RM 208.30 to RM 208.30, indicating diverse property characteristics. A wider spread (IQR: RM 0.00) and deviation (MAD: RM 62) 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.