| LIST.MY · Taman Mulia, Sitiawan | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Mulia
|
RM326,000
|
RM198
|
1,647 sqft
|
|
Terrace |
|
Jalan Sitiawan - Ayer Tawar
|
RM346,000
|
RM210
|
1,647 sqft
|
|
Terrace |
|
Sitiawan
|
RM326,000
|
RM198
|
1,647 sqft
|
|
Terrace |
|
Jalan Sitiawan
|
RM455,000
|
RM153
|
2,971 sqft
|
|
Terrace |
|
Jalan Sitiawan
|
RM331,000
|
RM201
|
1,647 sqft
|
|
Terrace |
|
Phase 3
|
RM346,000
|
RM210
|
1,647 sqft
|
|
Terrace |
Selling in Taman Mulia, Sitiawan? Homes here sold for a median of RM338,500.
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Taman Mulia, Sitiawan
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 Sitiawan
Market Snapshot
ResidentialRM338,500
RM199 psfMedian transaction price
Taman Mulia, Sitiawan in Manjung, Perak recorded 6 subsale transactions in 2024, with a median price of RM339K and a median price per square foot (PSF) of RM199.
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 RM339K, with most transactions falling within a stable range of RM326K to RM384K, and a typical market range of RM329K to RM349K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM199, with most transactions between RM180 and RM219. The usual range is RM193.47 to RM205.47, showing that most units are priced quite close to each other. A typical spread (IQR) of RM12.00 and an average deviation (MAD) of RM19 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.