| LIST.MY · Bukit Payong | |||||
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Road
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Price
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PSF
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Size
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Date
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Type
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| 2026 | |||||
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Bukit Kubor, Jalan Bkt Payung - Undang (Pl 14979)
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RM430,000
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RM156
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2,756 sqft
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Semi-D |
| 2024 | |||||
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Jalan Surau Hj Yaacob (P/L: 17355)
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RM375,000
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RM137
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2,734 sqft
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Semi-D |
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Auction Properties
1 auction properties in Bukit Payong
Nearby areas in Bukit Payung
Bukit Payong
Batu Payong
Undang
Mak Kemas
Taman Tapai Indah (Mr:26-04)
Taman Safiah Murni (Mr-1032) Batu Payong
Paya Resak
Padang Mengkuang
Wakaf Tapai
Gondang
Telaga Mengkudu
P/L 6535 No SP (Mr/24-08)
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 Bukit Payung
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Market Snapshot
ResidentialRM402,500
RM147 psfMedian transaction price
Bukit Payung, Terengganu, Malaysia
MapsBukit Payong in Marang, Terengganu recorded 2 subsale transactions between 2021 and 2026, sized between 2,725 and 2,774 sqft, with a median price of RM403K and a median price per square foot (PSF) of RM147.
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 RM403K, with most transactions falling within a stable range of RM375K to RM430K, and a typical market range of RM375K to RM430K.
Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.
For price per square foot, the median is RM147, with most transactions between RM137 and RM156. The usual range is RM131.71 to RM161.46, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.75 and an average deviation (MAD) of RM9 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.