| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Serandu/Kuala Pahang
|
RM150,000
|
RM54
|
2,800 sqft
|
|
|
|
Jalan Serandu/Kuala Pahang
|
RM150,000
|
RM54
|
2,800 sqft
|
|
|
|
Jalan Serandu/Kuala Pahang
|
RM150,000
|
RM54
|
2,800 sqft
|
|
|
|
Jalan Serandu/Kuala Pahang
|
RM150,000
|
RM54
|
2,800 sqft
|
|
|
|
Jalan Serandu/Kuala Pahang
|
RM150,000
|
RM54
|
2,800 sqft
|
|
|
Jalan Serandu/Kuala Pahang
|
RM155,000
|
RM49
|
3,156 sqft
|
|
|
Jalan Serandu/Kuala Pahang
|
RM162,000
|
RM43
|
3,757 sqft
|
|
|
Jalan Serandu/Kuala Pahang
|
RM178,000
|
RM36
|
4,938 sqft
|
|
|
Jalan Serandu/Kuala Pahang
|
RM207,000
|
RM29
|
7,208 sqft
|
|
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Nearby areas in Kuala Pahang
Ppr Kampung Marhum Kuala Pahang
Prima Makmur Bruas Jaya
Ppr(M) Tanjung Selangor
P/L 510 Bentan
Pakr Taman Mutiara
P/Lot 15184
Off Jalan. Pekan - Kuala Pahang
Pakr Taman Mawar
Pl : 1285
Rancangan Rumah Muarah K.pahang
Pec Lot 1344 Beruas
P/Lot 1940
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 Kuala Pahang
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Prima Makmur Bruas Jaya in Pekan, Pahang recorded 9 subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM54.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM54, with most transactions between RM54 and RM54. The usual range is RM48.08 to RM59.08, showing that most units are priced quite close to each other. A typical spread (IQR) of RM11.00 and an average deviation (MAD) of RM0 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.