Property Type
| LIST.MY · Taman Melati, Sitiawan | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2022 | |||||
|
Lorong Melati 6
|
RM350,000
|
RM271
|
1,292 sqft
|
|
2-Sty Terrace |
|
Lorong Melati 6
|
RM300,000
|
RM232
|
1,292 sqft
|
|
2-Sty Terrace |
|
Lorong Melati 6
|
RM350,000
|
RM271
|
1,292 sqft
|
|
2-Sty Terrace |
|
Jalan Melati 1/1
|
RM190,000
|
RM198
|
958 sqft
|
|
LC House |
|
Lorong Melati 5
|
RM280,000
|
RM48
|
5,856 sqft
|
|
Bungalow |
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Taman Melati, 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 Lumut
Market Snapshot
ResidentialRM300,000
RM232 psfMedian transaction price
Taman Melati, Sitiawan in Manjung, Perak recorded 5 subsale transactions in 2022, with a median price of RM300K and a median price per square foot (PSF) of RM232.
This area contains both residential and commercial properties. View 16 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM300K, with most transactions falling within a stable range of RM241K to RM350K, and a typical market range of RM245K to RM350K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM232, though individual units vary from RM150 to RM315 in the core range. The broader market spans RM200.14 to RM264.39, indicating diverse property characteristics. A wider spread (IQR: RM64.25) and deviation (MAD: RM83) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.