| LIST.MY · Rumah Makmur Tanjung Gahai(St15) | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Tanjung Gahai
|
RM80,000
|
RM61
|
1,302 sqft
|
|
Terrace |
| 2023 | |||||
|
Jalan Tanjung Gahai
|
RM98,000
|
RM36
|
2,702 sqft
|
|
Terrace |
|
Jalan Tanjung Gahai
|
RM80,000
|
RM61
|
1,302 sqft
|
|
Terrace |
|
Jalan Tanjung Gahai
|
RM98,000
|
RM36
|
2,702 sqft
|
|
Terrace |
|
Jalan Tanjung Gahai
|
RM80,000
|
RM61
|
1,302 sqft
|
|
Terrace |
| 2022 | |||||
|
Jalan Tanjung Gahai
|
RM80,000
|
RM61
|
1,302 sqft
|
|
Terrace |
|
Jalan Tanjung Gahai
|
RM80,000
|
RM61
|
1,302 sqft
|
|
Terrace |
|
Jalan Tanjung Gahai
|
RM80,000
|
RM61
|
1,302 sqft
|
|
Terrace |
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Rumah Makmur Tanjung Gahai(St15)
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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 Mukim Batu Yon
Market Snapshot
ResidentialRM80,000
RM61 psfMedian transaction price
Rumah Makmur Tanjung Gahai(St15) in Lipis, Pahang recorded 8 subsale transactions between 2021 and 2026, with a median price of RM80K and a median price per square foot (PSF) of RM61.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM61, with most transactions between RM61 and RM61. The usual range is RM58.30 to RM64.55, showing that most units are priced quite close to each other. A typical spread (IQR) of RM6.25 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.