Pusat Perdagangan Pontian

17, Jalan Bakek, Pontian Kecil, 82000 Pontian, Johor Darul Ta'zim, Malaysia

Property Transactions

6 subsales grouped by size · Shop →

Median
RM 217,500
PSF
RM 167
Price Size
Period
transactions middle 50% (P25–P75)
RM 215,000
Level G
786 sqft · RM 274 PSF
RM 130,000
Level 2
818 sqft · RM 159 PSF
RM 200,000
Jalan Delima 9
797 sqft · RM 251 PSF
1,650 sqft
Shop
RM 220,000
Level 3
1,647 sqft · RM 134 PSF
4,850 sqft
3-Sty Shop
RM 850,000
Jalan Delima 3
4,844 sqft · RM 175 PSF
6,650 sqft
3-Sty Shop
RM 920,000
Jalan Delima 1/1
6,641 sqft · RM 139 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 217,500

RM 167 psf

Median transaction price

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17, Jalan Bakek, Pontian Kecil, 82000 Pontian, Johor Darul Ta'zim, Malaysia

Maps

Pusat Perdagangan Pontian in Pontian, Johor recorded 6 subsale transactions in 2024, with a median price of RM 218K and a median price per square foot (PSF) of RM 167.

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 218K, with most transactions falling within a stable range of RM 130K to RM 546K, and a typical market range of RM 130K to RM 426K.

Most transactions involved shop unit/retail lot, with moderate diversity in property types available.

Price per square foot shows a median of RM 167, though individual units vary from RM 113 to RM 222 in the core range. The broader market spans RM 78.95 to RM 255.45, indicating diverse property characteristics. A wider spread (IQR: RM 176.50) and deviation (MAD: RM 54) 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.