| LIST.MY · Setol Patah | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Marang-Sentol Patah (Pl 1687)
|
RM140,000
|
RM117
|
1,195 sqft
|
|
LC House |
|
Jalan Marang-Sentol Patah (Pl 1687)
|
RM30,000
|
RM25
|
1,195 sqft
|
|
LC House |
| 2023 | |||||
|
Jalan Marang-Sentol Patah (Pl 1687)
|
RM30,000
|
RM25
|
1,195 sqft
|
|
LC House |
| 2022 | |||||
|
Jalan Marang-Sentol Patah (Pl 1687)
|
RM150,000
|
RM126
|
1,195 sqft
|
|
LC House |
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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 Rusila
Market Snapshot
ResidentialRM85,000
RM71 psfMedian transaction price
Rusila, Terengganu, Malaysia
MapsSetol Patah in Marang, Terengganu recorded 4 subsale transactions between 2021 and 2026, sized between 1,175 and 1,224 sqft, with a median price of RM85K and a median price per square foot (PSF) of RM71.
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 RM85K, with most transactions falling within a stable range of RM30K to RM143K, and a typical market range of RM40K to RM130K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with high diversity across multiple property types.
Price per square foot shows a median of RM71, though individual units vary from RM23 to RM119 in the core range. The broader market spans RM51.14 to RM91.14, indicating diverse property characteristics. A wider spread (IQR: RM40.00) and deviation (MAD: RM48) 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.