| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Langgar
|
RM350,000
|
RM132
|
2,648 sqft
|
|
|
Jalan Malinja 6/4
|
RM370,000
|
RM135
|
2,734 sqft
|
|
|
Jalan Langgar
|
RM343,000
|
RM118
|
2,914 sqft
|
|
|
Jalan Langgar
|
RM362,000
|
RM122
|
2,958 sqft
|
|
|
Jalan Langgar
|
RM372,000
|
RM116
|
3,219 sqft
|
|
|
Jalan Langgar
|
RM355,000
|
RM109
|
3,258 sqft
|
|
|
Jalan Malinja 6/4
|
RM410,000
|
RM115
|
3,574 sqft
|
|
|
Jalan Malinja 3
|
RM320,000
|
RM88
|
3,649 sqft
|
|
Selling in Taman Malinja? Homes here sold for a median of RM358,500.
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Nearby areas in Bandar Langgar
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 Langgar
Market Snapshot
ResidentialRM320,000
RM88 psfMedian transaction price
Taman Malinja, Kota Setar, Kedah
Taman Malinja in Kota Setar, Kedah recorded 8 subsale transactions between 2021 and 2026, with a median price of RM359K and a median price per square foot (PSF) of RM118.
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 RM359K, with most transactions falling within a stable range of RM346K to RM371K, and a typical market range of RM347K to RM370K.
Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.
For price per square foot, the median is RM118, with most transactions between RM111 and RM124. The usual range is RM112.22 to RM123.22, showing that most units are priced quite close to each other. A typical spread (IQR) of RM11.00 and an average deviation (MAD) of RM7 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.