Property Type
| Price | PSF | Size | Date | Type |
|---|
|
RM360,000
|
RM153
|
2,347 sqft
|
|
|
|
RM337,000
|
RM144
|
2,347 sqft
|
|
|
|
RM280,000
|
RM119
|
2,347 sqft
|
|
|
RM250,000
|
RM179
|
1,399 sqft
|
|
|
|
RM160,000
|
RM114
|
1,399 sqft
|
|
|
|
RM170,000
|
RM121
|
1,399 sqft
|
|
|
RM270,000
|
RM214
|
1,259 sqft
|
|
|
|
RM230,000
|
RM183
|
1,259 sqft
|
|
Selling in Taman Serai Muda (Serai Damai)? Homes here sold for a median of RM275,000.
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Taman Serai Muda (Serai Damai)
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 Bagan Serai
Market Snapshot
CommercialRM360,000
RM187 psfMedian transaction price
Taman Serai Muda (Serai Damai) in Kerian, Perak recorded 10 subsale transactions between 2021 and 2026, with a median price of RM275K and a median price per square foot (PSF) of RM153.
This area contains both residential and commercial properties. View 5 residential properties or 5 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM275K, with most transactions falling within a stable range of RM202K to RM349K, and a typical market range of RM215K to RM335K.
Most transactions involved terraced factory/warehouse, with high diversity across multiple property types.
Price per square foot shows a median of RM153, though individual units vary from RM114 to RM193 in the core range. The broader market spans RM115.13 to RM190.88, indicating diverse property characteristics. A wider spread (IQR: RM75.75) and deviation (MAD: RM40) 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.