| LIST.MY · Rumah Makmur Kampung Tiram | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Lorong Tiram
|
RM101,000
|
RM37
|
2,734 sqft
|
|
Terrace |
|
Lorong Tiram
|
RM102,000
|
RM37
|
2,756 sqft
|
|
Terrace |
| 2022 | |||||
|
Lorong Tiram
|
RM102,000
|
RM37
|
2,756 sqft
|
|
Terrace |
|
Lorong Tiram
|
RM102,000
|
RM37
|
2,756 sqft
|
|
Terrace |
Selling in Rumah Makmur Kampung Tiram? Homes here sold for a median of RM102,000.
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Rumah Makmur Kampung Tiram
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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 Kuala Kuantan
Market Snapshot
ResidentialRM102,000
RM37 psfMedian transaction price
Kampung Tiram, Kampung Tengah, 25100 Kuantan, Pahang, Malaysia
MapsRumah Makmur Kampung Tiram in Kuantan, Pahang recorded 4 subsale transactions between 2021 and 2026, sized between 2,725 and 2,774 sqft, with a median price of RM102K and a median price per square foot (PSF) of RM37.
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 RM102K, with most transactions falling within a stable range of RM102K to RM102K, and a typical market range of RM101K to RM102K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM37, with most transactions between RM37 and RM37. The usual range is RM19.52 to RM54.52, showing that most units are priced quite close to each other. A typical spread (IQR) of RM35.00 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.