| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Cempaka 4
|
RM135,000
|
RM103
|
1,313 sqft
|
|
Terrace |
|
Jalan. Cempaka
|
RM120,000
|
RM91
|
1,313 sqft
|
|
LC House |
|
Desa Cempaka
|
RM120,000
|
RM91
|
1,313 sqft
|
|
LC House |
|
Jalan Cempaka 1
|
RM140,000
|
RM107
|
1,313 sqft
|
|
LC House |
Selling in Ppr(M) Desa Cempaka? Homes here sold for a median of RM127,500.
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Nearby areas in Bebar
Bandar Satelite Muadzam Shah
Taman Redan Perdana
Prima Muadzam Shah,Pinggir Pelangi,Rompi
P/Lot 4186
Ppr(M) Desa Cempaka
P/Lot 3233 & 3234
Uda Dara
Desa Pinggir Pelangi
Prima Bandar Muadzam
Kaw Industri Muadzam Shah
P/Lot 3225 & 3226 (Desa Pelangi)
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 Bebar
Market Snapshot
ResidentialRM127,500
RM97 psfMedian transaction price
Ppr(M) Desa Cempaka in Rompin, Pahang recorded 4 subsale transactions in 2022, with a median price of RM128K and a median price per square foot (PSF) of RM97.
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 RM128K, with most transactions falling within a stable range of RM120K to RM136K, and a typical market range of RM120K to RM138K.
Most transactions involved low-cost house, though some variety exists in the market.
For price per square foot, the median is RM97, with most transactions between RM90 and RM104. The usual range is RM89.09 to RM105.09, showing that most units are priced quite close to each other. A typical spread (IQR) of RM16.00 and an average deviation (MAD) of RM7 indicate a highly stable PSF trend across properties.
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.