Property Type
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2025 | |||||
|
Persiaran Bercham Utara 1
|
RM 170,000
|
RM 149
|
1,141 sqft
|
|
Terrace |
| 2024 | |||||
|
Persiaran Bercham Utara 2
|
RM 288,000
|
RM 250
|
1,152 sqft
|
|
2-Sty Terrace |
|
Persiaran Bercham (U) 3
|
RM 163,000
|
RM 143
|
1,141 sqft
|
|
LC House |
|
Prsn Bercam Utara 1
|
RM 130,000
|
RM 114
|
1,141 sqft
|
|
LC House |
| 2022 | |||||
|
Persiaran Bercham Utara 7
|
RM 160,000
|
RM 140
|
1,141 sqft
|
|
Terrace |
|
Persiaran Bercham Utara 2
|
RM 250,000
|
RM 217
|
1,152 sqft
|
|
2-Sty Terrace |
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Market Snapshot
ResidentialRM 166,500
RM 146 psfMedian transaction price
Taman Ramai, Kinta, Perak
Taman Ramai in Kinta, Perak recorded 6 subsale transactions between 2021 and 2026, sized between 1,125 and 1,174 sqft, with a median price of RM 167K and a median price per square foot (PSF) of RM 146.
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 RM 167K, with most transactions falling within a stable range of RM 130K to RM 222K, and a typical market range of RM 130K to RM 228K.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
Price per square foot shows a median of RM 146, though individual units vary from RM 98 to RM 194 in the core range. The broader market spans RM 117.56 to RM 174.31, indicating diverse property characteristics. A wider spread (IQR: RM 56.75) and deviation (MAD: RM 48) 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.