Taman Mutiara Desaru

81930 Kota Tinggi, Johor Darul Ta'zim, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,500 sqft
Semi-D
RM450,000
Jalan Dato Jaafar 23/2
3,520 sqft · RM128 PSF
13,850 sqft
Bungalow
RM500,000
Jalan Dato' Jaafar 21/4
13,864 sqft · RM36 PSF
14,050 sqft
Bungalow
RM550,000
Jalan Dato' Jaafar 23
14,068 sqft · RM39 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Tanjung Surat

Market Snapshot

Residential

RM500,000

RM39 psf

Median transaction price

Taman Mutiara Desaru
© OpenStreetMap · CARTO

Taman Mutiara Desaru, 81930 Kota Tinggi, Johor Darul Ta'zim, Malaysia

Maps

Taman Mutiara Desaru in Kota Tinggi, Johor recorded 3 subsale transactions in 2022, with a median price of RM500K and a median price per square foot (PSF) of RM39.

This area contains both residential and commercial properties. View 4 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM500K, with most transactions falling within a stable range of RM459K to RM541K, and a typical market range of RM450K to RM550K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with high diversity across multiple property types.

Price per square foot shows a median of RM39, though individual units vary from RM0 to RM82 in the core range. The broader market spans RM0.00 to RM84.09, indicating diverse property characteristics. A wider spread (IQR: RM90.00) and deviation (MAD: RM43) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.