Taman Mutiara Indah

Jln Mutiara Indah 3, Taman Bukit Mutiara, indah81100 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

10 subsales grouped by size

Median
RM 654,000
PSF
RM 360
Price Size
1,800 sqft
2-Sty Terrace
RM 648,000
Jalan Mutiara Indah 3
1,819 sqft · RM 356 PSF
RM 660,000
Jalan Mutiara Indah 3
1,819 sqft · RM 363 PSF
RM 620,000
Jalan Mutiara Indah 3
1,819 sqft · RM 341 PSF
RM 858,000
Jalan Mutiara Indah 5
1,819 sqft · RM 472 PSF
RM 792,000
Jalan Mutiara Indah 6
1,819 sqft · RM 435 PSF
RM 847,000
Jalan Mutiara Indah 6
1,819 sqft · RM 466 PSF
+4 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 654,000

RM 360 psf

Median transaction price

Taman Mutiara Indah
© OpenStreetMap · CARTO

Jln Mutiara Indah 3, Taman Bukit Mutiara, indah81100 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Taman Mutiara Indah in Johor Bahru, Johor recorded 10 subsale transactions between 2021 and 2026, with a median price of RM 654K and a median price per square foot (PSF) of RM 360.

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 654K, with most transactions falling within a stable range of RM 580K to RM 755K, and a typical market range of RM 618K to RM 691K.

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

The median PSF stands at RM 360, with core pricing between RM 304 and RM 415. Market pricing typically extends from RM 336.27 to RM 382.77, reflecting moderate variation in unit pricing. The spread of RM 46.50 (IQR) and deviation of RM 56 (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.