Rawai
Jalan Chendering, Bukit Payong Marang, Kampung Rawai, 21400 Bukit Payong, Terengganu, Malaysia
Jalan Chendering, Bukit Payong Marang, Kampung Rawai, 21400 Bukit Payong, Terengganu, Malaysia
| LIST.MY · Rawai | |||||
|---|---|---|---|---|---|
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Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Bkt Payung - Rawai
|
RM310,000
|
RM79
|
3,918 sqft
|
|
Semi-D |
| 2022 | |||||
|
Off Jalan Batu Payong-Alor Limbat (Pl 99
|
RM330,000
|
RM84
|
3,918 sqft
|
|
Semi-D |
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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 Alur Limbat
Market Snapshot
ResidentialRM320,000
RM82 psfMedian transaction price
Jalan Chendering, Bukit Payong Marang, Kampung Rawai, 21400 Bukit Payong, Terengganu, Malaysia
MapsRawai in Marang, Terengganu recorded 2 subsale transactions between 2021 and 2026, sized between 3,875 and 3,924 sqft, with a median price of RM320K and a median price per square foot (PSF) of RM82.
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 RM320K, with most transactions falling within a stable range of RM310K to RM330K, and a typical market range of RM310K to RM330K.
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 RM82, with most transactions between RM79 and RM84. The usual range is RM68.55 to RM94.80, showing that most units are priced quite close to each other. A typical spread (IQR) of RM26.25 and an average deviation (MAD) of RM3 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.