Prima Bandar Pusat Jengka
Bandar Tun Razak, Pahang, Malaysia
Bandar Tun Razak, Pahang, Malaysia
Property Type
| LIST.MY · Prima Bandar Pusat Jengka | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Miracle Sentral
|
RM598,000
|
RM751
|
797 sqft
|
|
2-Sty Shop |
| 2023 | |||||
|
Lorong Berlian
|
RM250,000
|
RM306
|
818 sqft
|
|
1-Sty Shop |
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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 Chenor
Market Snapshot
RM89,000
RM44 psfMedian transaction price
RM424,000
RM528 psfMedian transaction price
Bandar Tun Razak, Pahang, Malaysia
MapsPrima Bandar Pusat Jengka in Maran, Pahang recorded 2 subsale transactions between 2021 and 2026, sized between 775 and 824 sqft, with a median price of RM424K and a median price per square foot (PSF) of RM528.
This area contains both residential and commercial properties. View 11 residential properties or 35 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM424K, with most transactions falling within a stable range of RM250K to RM598K, and a typical market range of RM250K to RM598K.
Most transactions involved 2 - 2 1/2 storey shop, with high diversity across multiple property types.
Price per square foot shows a median of RM528, though individual units vary from RM306 to RM751 in the core range. The broader market spans RM271.18 to RM785.18, indicating diverse property characteristics. A wider spread (IQR: RM514.00) and deviation (MAD: RM223) indicate significant PSF variations, likely due to diverse property types or conditions.
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.