Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Ps 39/39
|
RM 380,000
|
RM 158
|
2,400 sqft
|
|
|
Susur Paduka Setia 1
|
RM 549,000
|
RM 182
|
3,025 sqft
|
|
|
|
Susur Paduka Setia 1
|
RM 539,000
|
RM 178
|
3,025 sqft
|
|
|
|
Susur Paduka Setia 1
|
RM 501,000
|
RM 166
|
3,025 sqft
|
|
|
|
Susur Paduka Setia 1
|
RM 539,000
|
RM 178
|
3,025 sqft
|
|
|
Susur Ps 1
|
RM 340,000
|
RM 85
|
4,004 sqft
|
|
|
|
Jalan Paduka Setia
|
RM 420,000
|
RM 105
|
4,004 sqft
|
|
|
|
Lorong Ps 19/39
|
RM 403,000
|
RM 101
|
4,004 sqft
|
|
|
Lorong Ps 10/39
|
RM 400,000
|
RM 85
|
4,682 sqft
|
|
|
Rpt Kpg. Boyan Baru
|
RM 375,000
|
RM 71
|
5,285 sqft
|
|
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Market Snapshot
RM 400,000
RM 85 psfMedian transaction price
RM 539,000
RM 178 psfMedian transaction price
Rkt Kampung Boyan Baru (Paduka Setia) in Larut Matang, Perak recorded 10 subsale transactions in 2022, with a median price of RM 412K and a median price per square foot (PSF) of RM 132.
This area contains both residential and commercial properties. View 22 residential properties or 12 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 412K, with most transactions falling within a stable range of RM 340K to RM 486K, and a typical market range of RM 340K to RM 506K.
Most transactions involved detached, with moderate diversity in property types available.
Price per square foot shows a median of RM 132, though individual units vary from RM 89 to RM 174 in the core range. The broader market spans RM 16.72 to RM 246.48, indicating diverse property characteristics. A wider spread (IQR: RM 229.75) and deviation (MAD: RM 43) 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.