Taman Cempaka Serom Tr733

Jalan Bukit Gambir, 84400 Sungai Mati, Johor, Malaysia

Property Transactions

17 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM550,000
2,788 sqft
RM197 PSF · 2-Sty Shop
RM660,000
3,014 sqft
RM219 PSF · 2-Sty Shop
RM655,000
3,014 sqft
RM217 PSF · 2-Sty Shop
RM550,000
3,014 sqft
RM182 PSF · 2-Sty Shop
RM550,000
3,014 sqft
RM182 PSF · 2-Sty Shop
RM600,000
3,014 sqft
RM199 PSF · 2-Sty Shop
+8 more
RM550,000
3,014 sqft
RM182 PSF
RM600,000
3,014 sqft
RM199 PSF
RM550,000
3,014 sqft
RM182 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Cempaka Serom Tr733? Homes here sold for a median of RM555,000.

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Market Snapshot

Commercial

RM555,000

RM367 psf

Median transaction price

Taman Cempaka Serom Tr733
© OpenStreetMap · CARTO

Jalan Bukit Gambir, 84400 Sungai Mati, Johor, Malaysia

Maps

Taman Cempaka Serom Tr733 in Tangkak, Johor recorded 17 subsale transactions between 2021 and 2026, with a median price of RM555K and a median price per square foot (PSF) of RM184.

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 RM555K, with most transactions falling within a stable range of RM550K to RM560K, and a typical market range of RM540K to RM580K.

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

For price per square foot, the median is RM184, with most transactions between RM167 and RM201. The usual range is RM167.65 to RM200.65, showing that most units are priced quite close to each other. A typical spread (IQR) of RM33.00 and an average deviation (MAD) of RM17 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.