| LIST.MY · Mutiara Residence | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2021 | |||||
|
Off Jalan Jitra-Napoh
|
RM538,000
|
RM192
|
2,799 sqft
|
|
Semi-D |
|
Bandar Jitra
|
RM511,000
|
RM183
|
2,799 sqft
|
|
Semi-D |
Selling in Mutiara Residence? Homes here sold for a median of RM524,500.
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Nearby areas in Bandar Jitra
Mutiara Residence
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Taman Cermai(Jitra)
Taman Gemilang Fasa 1 (Bandar Jitra)
Taman Pasu
Pkn Jitra Fasa 2 & 3
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Taman Setia Jaya (4758 Jitra)
Taman Suria Fasa 1 (Jitra)
Emerald Saujana
Taman Sri Kemuning(Rpa Jitra)
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 Bandar Jitra
Market Snapshot
ResidentialRM524,500
RM187 psfMedian transaction price
Jalan Mutiara Residence, Mutiara Residence, 06000 Jitra, Kedah, Malaysia
MapsMutiara Residence in Kubang Pasu, Kedah recorded 2 subsale transactions in 2021, with a median price of RM525K and a median price per square foot (PSF) of RM187.
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 RM525K, with most transactions falling within a stable range of RM511K to RM538K, and a typical market range of RM511K to RM538K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM187, with most transactions between RM183 and RM192. The usual range is RM150.41 to RM224.41, showing that most units are priced quite close to each other. With an IQR of RM74.00 and MAD of RM5, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.