Taman Keroma Murni

Murni 1, Jln Keroma, Taman Keroma Murni, 84000 Muar, Johor Darul Ta'zim, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 384,000
PSF
RM 139
Price Size
2,650 sqft
Semi-D
RM 405,000
Taman Keroma Murni (Pec Lot 1842&1843)
2,646 sqft · RM 153 PSF
2,700 sqft
Semi-D
RM 375,000
Jalan Keroma Murni 1
2,701 sqft · RM 139 PSF
RM 363,000
Jalan Keroma Murni
2,720 sqft · RM 133 PSF
2,750 sqft
Semi-D
RM 384,000
Jalan Junid
2,743 sqft · RM 140 PSF
2,800 sqft
Semi-D
RM 460,000
Jalan Keroma Murni 3/1 (Pec Lot 1842&1843)
2,779 sqft · RM 166 PSF
2,950 sqft
Semi-D
RM 384,000
Jalan Junid
2,938 sqft · RM 131 PSF
5,500 sqft
Semi-D
RM 460,000
Jalan Junid
5,501 sqft · RM 84 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 384,000

RM 139 psf

Median transaction price

Taman Keroma Murni
© OpenStreetMap · CARTO

Murni 1, Jln Keroma, Taman Keroma Murni, 84000 Muar, Johor Darul Ta'zim, Malaysia

Maps

Taman Keroma Murni in Muar, Johor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 384K and a median price per square foot (PSF) of RM 139.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 384K, with most transactions falling within a stable range of RM 363K to RM 421K, and a typical market range of RM 367K to RM 401K.

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

The median PSF stands at RM 139, with core pricing between RM 115 and RM 163. Market pricing typically extends from RM 125.61 to RM 152.11, reflecting moderate variation in unit pricing. The spread of RM 26.50 (IQR) and deviation of RM 24 (MAD) suggest moderate price variations reflecting different property features.

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.