| Road | Price | PSF | Size | Date | Type |
|---|
|
Taman Sejati
|
RM260,000
|
RM200
|
1,302 sqft
|
|
|
Jalan Sitiawan
|
RM255,000
|
RM155
|
1,647 sqft
|
|
|
|
Jalan Lumut
|
RM350,000
|
RM213
|
1,647 sqft
|
|
|
Jalan Sejati 3/1
|
RM620,000
|
RM259
|
2,390 sqft
|
|
|
Lorong Sejati 15
|
RM590,000
|
RM211
|
2,799 sqft
|
|
|
Jalan Sejati Utama 1
|
RM220,000
|
RM55
|
4,026 sqft
|
|
|
|
Lorong Sejati 10
|
RM600,000
|
RM148
|
4,058 sqft
|
|
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Taman Sejati
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
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Market Snapshot
RM305,000
RM205 psfMedian transaction price
RM600,000
RM148 psfMedian transaction price
Taman Sejati, Manjung, Perak
Taman Sejati in Manjung, Perak recorded 7 subsale transactions in 2024, with a median price of RM350K and a median price per square foot (PSF) of RM200.
This area contains both residential and commercial properties. View 20 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM350K, with most transactions falling within a stable range of RM220K to RM518K, and a typical market range of RM233K to RM467K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM200, though individual units vary from RM139 to RM261 in the core range. The broader market spans RM168.13 to RM231.13, indicating diverse property characteristics. A wider spread (IQR: RM63.00) and deviation (MAD: RM61) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.