| LIST.MY · Taman Bukit Rangin Perdana 1 & 2 | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Lorong Bkt Rangin Perdana 1/12
|
RM210,000
|
RM140
|
1,496 sqft
|
|
Terrace |
| 2023 | |||||
|
Lorong Batu Rangin Perdana 2/6
|
RM230,000
|
RM154
|
1,496 sqft
|
|
Terrace |
| 2022 | |||||
|
Lorong Bukit Rangin Perdana 2/16
|
RM230,000
|
RM154
|
1,496 sqft
|
|
Terrace |
Selling in Taman Bukit Rangin Perdana 1 & 2? Homes here sold for a median of RM230,000.
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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
ResidentialRM230,000
RM154 psfMedian transaction price
Lorong Bukit Rangin Perdana 1/2, 25150 Kuantan, Pahang, Malaysia
MapsTaman Bukit Rangin Perdana 1 & 2 in Kuantan, Pahang recorded 3 subsale transactions between 2021 and 2026, sized between 1,475 and 1,524 sqft, with a median price of RM230K and a median price per square foot (PSF) of RM154.
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 RM230K, with most transactions falling within a stable range of RM221K to RM230K, and a typical market range of RM217K to RM230K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM154, with most transactions between RM147 and RM160. The usual range is RM141.22 to RM166.22, showing that most units are priced quite close to each other. A typical spread (IQR) of RM25.00 and an average deviation (MAD) of RM6 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.