Taman Murni

83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
LC House
RM180,000
Jalan Murni 22
732 sqft · RM246 PSF
RM150,000
Jalan Murni 18
732 sqft · RM205 PSF
1,400 sqft
Terrace
RM380,000
Jalan Murni 3
1,399 sqft · RM272 PSF
RM428,000
Jalan Murni
1,399 sqft · RM306 PSF
1,550 sqft
Terrace
RM380,000
Jalan Murni 6
1,539 sqft · RM247 PSF
RM375,000
Jalan Murni
1,539 sqft · RM244 PSF
RM290,000
Jalan Murni
1,539 sqft · RM188 PSF
RM388,000
Jalan Murni 6
1,539 sqft · RM252 PSF
1,700 sqft
2-Sty Terrace
RM500,000
Jalan Murni 8
1,690 sqft · RM296 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM380,000

RM247 psf

Median transaction price

Taman Murni
© OpenStreetMap · CARTO

Taman Murni, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Maps

Taman Murni in Batu Pahat, Johor recorded 9 subsale transactions in 2024, with a median price of RM380K and a median price per square foot (PSF) of RM247.

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 RM380K, with most transactions falling within a stable range of RM272K to RM488K, and a typical market range of RM282K to RM478K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM247, with core pricing between RM211 and RM283. Market pricing typically extends from RM228.38 to RM265.38, reflecting moderate variation in unit pricing. With an IQR of RM37.00 and MAD of RM36, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.