| Price | PSF | Size | Date | Type |
|---|
|
RM340,000
|
RM148
|
2,303 sqft
|
|
Semi-D |
|
RM380,000
|
RM160
|
2,379 sqft
|
|
Semi-D |
|
RM260,000
|
RM139
|
1,873 sqft
|
|
Terrace |
|
RM380,000
|
RM124
|
3,068 sqft
|
|
|
|
RM380,000
|
RM125
|
3,046 sqft
|
|
|
|
RM340,000
|
RM111
|
3,057 sqft
|
|
|
RM370,000
|
RM120
|
3,089 sqft
|
|
|
|
RM320,000
|
RM104
|
3,078 sqft
|
|
|
|
RM350,000
|
RM114
|
3,078 sqft
|
|
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Taman Anggerik (Parit Buntar)
Taman Zamrud
Taman Kerian Indah
Taman Kerian Tambahan Vi
Taman Kerian
Taman Sri Tenggara
Taman Meranti
Taman Desa Mekar
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 Parit Buntar
Market Snapshot
ResidentialRM260,000
RM139 psfMedian transaction price
TAMAN DESA MEKAR, Simpang Lima, Parit Buntar, Kerian, Perak, Malaysia
Taman Desa Mekar in Kerian, Perak recorded 10 subsale transactions between 2021 and 2026, with a median price of RM360K and a median price per square foot (PSF) of RM125.
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 RM360K, with most transactions falling within a stable range of RM340K to RM380K, and a typical market range of RM341K to RM379K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM125, with most transactions between RM113 and RM137. The usual range is RM114.25 to RM135.25, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.00 and an average deviation (MAD) of RM12 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.