Property Type
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2024 | |||||
|
Jalan Bercham
|
RM 537,000
|
RM 279
|
1,927 sqft
|
|
2-Sty Shop |
|
Persiaran Bercham Utara 8
|
RM 270,000
|
RM 299
|
904 sqft
|
|
2-Sty Terrace |
|
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 |
|
Persiaran Bercham Utara 3
|
RM 195,000
|
RM 216
|
904 sqft
|
|
2-Sty Terrace |
|
Prsn Bercam Utara 1
|
RM 130,000
|
RM 114
|
1,141 sqft
|
|
LC House |
|
Persiaran Bercham Utara 7
|
RM 185,000
|
RM 205
|
904 sqft
|
|
2-Sty Terrace |
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Market Snapshot
ResidentialRM 190,000
RM 210 psfMedian transaction price
Taman Ramai, Kinta, Perak
Taman Ramai in Kinta, Perak recorded 7 subsale transactions in 2024, with a median price of RM 195K and a median price per square foot (PSF) of RM 216.
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 195K, with most transactions falling within a stable range of RM 130K to RM 322K, and a typical market range of RM 134K to RM 256K.
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 216, though individual units vary from RM 153 to RM 279 in the core range. The broader market spans RM 187.30 to RM 244.05, indicating diverse property characteristics. A wider spread (IQR: RM 56.75) and deviation (MAD: RM 63) 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.