Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM105,000
|
RM177
|
592 sqft
|
|
|
|
Level 4
|
RM90,000
|
RM152
|
592 sqft
|
|
|
|
Level 3
|
RM130,000
|
RM220
|
592 sqft
|
|
|
|
Level 5
|
RM90,000
|
RM152
|
592 sqft
|
|
|
|
Level 1
|
RM95,000
|
RM160
|
592 sqft
|
|
|
|
Level 3
|
RM70,000
|
RM118
|
592 sqft
|
|
|
|
Level 4
|
RM110,000
|
RM186
|
592 sqft
|
|
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Desaru Utama Residence
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Tanjung Surat
Market Snapshot
ResidentialRM95,000
RM160 psfMedian transaction price
Bandar Penawar, Jalan Dato Onn, Bandar Penawar, 81930 Bandar Penawar, Johor, Malaysia
MapsBandar Penawar in Kota Tinggi, Johor recorded 7 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM95K and a median price per square foot (PSF) of RM160.
This area contains both residential and commercial properties. View 42 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM95K, with most transactions falling within a stable range of RM78K to RM112K, and a typical market range of RM70K to RM130K.
Within the Low-Cost Flat category, detached dominated the market, though some variety exists in the market.
The median PSF stands at RM160, with core pricing between RM131 and RM190. Market pricing typically extends from RM147.22 to RM173.72, reflecting moderate variation in unit pricing. The spread of RM26.50 (IQR) and deviation of RM30 (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.