| Road | Price | PSF | Size | Date | Type |
|---|
|
Taman Sejati
|
RM 260,000
|
RM 200
|
1,302 sqft
|
|
|
Lorong Sejati 2
|
RM 330,000
|
RM 200
|
1,647 sqft
|
|
|
|
Lorong Sejati 2
|
RM 335,000
|
RM 201
|
1,668 sqft
|
|
|
|
Lorong Sejati 9
|
RM 310,000
|
RM 186
|
1,668 sqft
|
|
|
|
Jalan Sitiawan
|
RM 255,000
|
RM 155
|
1,647 sqft
|
|
|
Jalan Sejati 3/1
|
RM 620,000
|
RM 259
|
2,390 sqft
|
|
|
-Lorong Sejati 9
|
RM 495,000
|
RM 177
|
2,799 sqft
|
|
Semi-D |
|
Lorong Sejati 15
|
RM 590,000
|
RM 211
|
2,799 sqft
|
|
Semi-D |
|
Jalan Sejati Utama 1
|
RM 220,000
|
RM 55
|
4,026 sqft
|
|
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Market Snapshot
RM 330,000
RM 200 psfMedian transaction price
RM 420,000
RM 157 psfMedian transaction price
Taman Sejati, Manjung, Perak
Taman Sejati in Manjung, Perak recorded 9 subsale transactions between 2021 and 2026, with a median price of RM 330K and a median price per square foot (PSF) of RM 200.
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 RM 330K, with most transactions falling within a stable range of RM 220K to RM 471K, and a typical market range of RM 220K to RM 447K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM 200, though individual units vary from RM 147 to RM 252 in the core range. The broader market spans RM 168.13 to RM 231.13, indicating diverse property characteristics. A wider spread (IQR: RM 63.00) and deviation (MAD: RM 53) 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.