| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Desa Makmur 5/4
|
RM310,000
|
RM238
|
1,302 sqft
|
|
|
Jalan. Desa Makmur 7/4
|
RM350,000
|
RM250
|
1,399 sqft
|
|
|
|
Jalan. Desa Makmur 7/4
|
RM310,000
|
RM222
|
1,399 sqft
|
|
|
Lorong Desa Makmor 11/4
|
RM358,000
|
RM234
|
1,528 sqft
|
|
|
|
Lorong Desa Makmor 11/4
|
RM270,000
|
RM177
|
1,528 sqft
|
|
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Nearby areas in Bandar Lunas
La Casa Lunas
Bandar Permata Lunas
Taman Kucai Indah Ii
Taman Makmur Fasa 1
Taman Kulim Square
Taman Sri Sentosa
Taman Desa Makmor Fasa 1
Taman Kangkong Fasa 1
Taman Lunas Indah
Taman Kijang
Taman Desa Seni
Taman Sejahtera Fasa 1
Taman Desa Makmor Fasa 2
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 Lunas
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Market Snapshot
ResidentialRM310,000
RM234 psfMedian transaction price
Taman Desa Makmor Fasa 2 in Kulim, Kedah recorded 5 subsale transactions between 2021 and 2026, with a median price of RM310K and a median price per square foot (PSF) of RM234.
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 RM310K, with most transactions falling within a stable range of RM278K to RM342K, and a typical market range of RM279K to RM341K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
The median PSF stands at RM234, with core pricing between RM209 and RM260. Market pricing typically extends from RM212.22 to RM256.22, reflecting moderate variation in unit pricing. With an IQR of RM44.00 and MAD of RM25, 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. 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.