Prima Bandar Muadzam
Muadzam Shah, Pahang, Malaysia
Muadzam Shah, Pahang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Muadzam-Segamat
|
RM 150,000
|
RM 54
|
2,799 sqft
|
|
|
|
Jalan Muadzam-Segamat
|
RM 150,000
|
RM 54
|
2,799 sqft
|
|
|
|
Jalan Muadzam Segamat
|
RM 150,000
|
RM 54
|
2,799 sqft
|
|
|
|
Jalan Muadzam-Segamat
|
RM 150,000
|
RM 54
|
2,799 sqft
|
|
|
|
Jalan Muadzam-Segamat
|
RM 150,000
|
RM 54
|
2,799 sqft
|
|
|
|
Jalan Muadzam-Segamat
|
RM 150,000
|
RM 53
|
2,809 sqft
|
|
|
Jalan Muadzam-Segamat
|
RM 155,000
|
RM 49
|
3,186 sqft
|
|
|
Jalan Gadak Makmur Jaya 3
|
RM 213,000
|
RM 56
|
3,821 sqft
|
|
|
Jalan Muadzam-Segamat
|
RM 232,000
|
RM 44
|
5,285 sqft
|
|
|
Jalan Gadak Makmur 5
|
RM 248,000
|
RM 38
|
6,501 sqft
|
|
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Market Snapshot
ResidentialRM 150,000
RM 54 psfMedian transaction price
Muadzam Shah, Pahang, Malaysia
MapsPrima Bandar Muadzam in Rompin, Pahang recorded 10 subsale transactions in 2022, with a median price of RM 150K and a median price per square foot (PSF) of RM 54.
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 150K, with most transactions falling within a stable range of RM 150K to RM 188K, and a typical market range of RM 150K to RM 152K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM 54, with most transactions between RM 48 and RM 59. The usual range is RM 51.60 to RM 55.60, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 4.00 and an average deviation (MAD) of RM 5 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.