Shopping Mall

G38-G39, 1 Segamat, Shopping Mall, Jln Kolam Air, Kampung Gubah, 85000 Segamat, Johor Darul Ta'zim, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM 229,000
PSF
RM 188
1,400 sqft
Terrace
RM 229,000
Bandar Ioi
1,399 sqft · RM 164 PSF
RM 223,000
Bandar Ioi
1,399 sqft · RM 159 PSF
RM 263,000
Bandar Ioi
1,399 sqft · RM 188 PSF
RM 263,000
Bandar Ioi
1,399 sqft · RM 188 PSF
RM 223,000
Bandar Ioi
1,399 sqft · RM 159 PSF
RM 229,000
Bandar Ioi
1,399 sqft · RM 164 PSF
RM 223,000
Bandar Ioi
1,399 sqft · RM 159 PSF
3,000 sqft
Terrace
RM 306,000
Bandar Ioi
3,001 sqft · RM 102 PSF
3,750 sqft
Terrace
RM 383,000
Jalan Putra
3,732 sqft · RM 103 PSF
Legend Recent Highest Price Highest PSF

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Bandar Ioi, Fasa 20, Mk. Sungai. Segamat
© OpenStreetMap · CARTO

G38-G39, 1 Segamat, Shopping Mall, Jln Kolam Air, Kampung Gubah, 85000 Segamat, Johor Darul Ta'zim, Malaysia

Maps

Shopping Mall in Segamat, Johor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM 229K and a median price per square foot (PSF) of RM 188.

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 229K, with most transactions falling within a stable range of RM 223K to RM 235K, and a typical market range of RM 223K to RM 249K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM 188, with most transactions between RM 183 and RM 193. The usual range is RM 185.45 to RM 190.45, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 5.00 and an average deviation (MAD) of RM 5 indicate a highly stable PSF trend across properties.

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.