Taman Bkt Mutiara - Tr. 638

Taman Bukit Mutiara, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 167,500
PSF
RM 161
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
LC House
RM 175,000
Jalan Tasek 2/6
775 sqft · RM 226 PSF
1,100 sqft
LC House
RM 160,000
Jalan B/M 8
1,098 sqft · RM 146 PSF
1,200 sqft
LC House
RM 210,000
Jalan Bukit Mutiara 4
1,195 sqft · RM 176 PSF
RM 150,000
Jalan B/M 3A
1,200 sqft · RM 125 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 167,500

RM 161 psf

Median transaction price

Taman Bkt Mutiara - Tr. 638
© OpenStreetMap · CARTO

Taman Bukit Mutiara, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Maps

Taman Bkt Mutiara - Tr. 638 in Batu Pahat, Johor recorded 4 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM 168K and a median price per square foot (PSF) of RM 161.

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 168K, with most transactions falling within a stable range of RM 150K to RM 190K, and a typical market range of RM 150K to RM 210K.

Within the Low-Cost House category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.

Price per square foot shows a median of RM 161, though individual units vary from RM 123 to RM 199 in the core range. The broader market spans RM 127.50 to RM 194.00, indicating diverse property characteristics. The spread of RM 66.50 (IQR) and deviation of RM 38 (MAD) suggest moderate price variations reflecting different property features.

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.