Property Type
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2024 | |||||
|
Hala Bercham Timur 4
|
RM 160,000
|
RM 204
|
786 sqft
|
|
LC House |
|
Hala Bercham Timur 9
|
RM 180,000
|
RM 246
|
732 sqft
|
|
LC House |
|
Dataran Bercham Timur 7
|
RM 200,000
|
RM 255
|
786 sqft
|
|
LC House |
|
Hala Bercham Timur 11
|
RM 312,000
|
RM 226
|
1,378 sqft
|
|
2-Sty Shop |
|
Dataran Bercham Timur 4
|
RM 220,000
|
RM 145
|
1,518 sqft
|
|
LC House |
|
Level 4
|
RM 50,000
|
RM 91
|
549 sqft
|
|
LC Flat |
|
Level G
|
RM 115,000
|
RM 209
|
549 sqft
|
|
LC Flat |
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Market Snapshot
RM 170,000
RM 207 psfMedian transaction price
RM 312,000
RM 226 psfMedian transaction price
TAMAN PAKATAN, Bercham, Ulu Kinta, 31400, Kinta, Perak, Malaysia
Taman Pakatan in Kinta, Perak recorded 7 subsale transactions in 2024, with a median price of RM 180K and a median price per square foot (PSF) of RM 209.
This area contains both residential and commercial properties. View 42 residential properties or 7 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 180K, with most transactions falling within a stable range of RM 104K to RM 256K, and a typical market range of RM 113K to RM 247K.
Most transactions involved low-cost flat, with moderate diversity in property types available.
Price per square foot shows a median of RM 209, though individual units vary from RM 155 to RM 264 in the core range. The broader market spans RM 143.99 to RM 274.99, indicating diverse property characteristics. A wider spread (IQR: RM 131.00) and deviation (MAD: RM 54) 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.