| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Mawar 1
|
RM380,000
|
RM131
|
2,895 sqft
|
|
|
|
Jalan Mawar Jaya 1/1
|
RM400,000
|
RM138
|
2,895 sqft
|
|
|
|
Jalan Mawar Jaya 1/1
|
RM500,000
|
RM173
|
2,895 sqft
|
|
|
Jalan Mawar Indah1/3
|
RM328,000
|
RM109
|
3,003 sqft
|
|
|
Jalan Mawar Indah 3
|
RM358,000
|
RM112
|
3,197 sqft
|
|
|
Jalan Mawar Jaya 1/1
|
RM400,000
|
RM113
|
3,552 sqft
|
|
|
Jalan Mawar Indah 1/2
|
RM368,000
|
RM98
|
3,757 sqft
|
|
|
Jalan Mawar Indah 3
|
RM498,000
|
RM83
|
6,017 sqft
|
|
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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 Teriang
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Market Snapshot
ResidentialRM390,000
RM112 psfMedian transaction price
Taman Mawar Jaya, Bera, Pahang
Taman Mawar Jaya in Bera, Pahang recorded 8 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM390K and a median price per square foot (PSF) of RM112.
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 RM390K, with most transactions falling within a stable range of RM331K to RM449K, and a typical market range of RM328K to RM463K.
Within the Single Storey Semi-D category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM112, though individual units vary from RM86 to RM138 in the core range. The broader market spans RM79.68 to RM144.93, indicating diverse property characteristics. The spread of RM65.25 (IQR) and deviation of RM26 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.