| LIST.MY · Rpa Iv Kampung Kerantina | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Lorong 4
|
RM150,000
|
RM142
|
1,055 sqft
|
|
LC House |
| 2023 | |||||
|
Lorong 1
|
RM130,000
|
RM123
|
1,055 sqft
|
|
LC House |
|
Lorong 11
|
RM130,000
|
RM123
|
1,055 sqft
|
|
LC House |
|
Lorong 4
|
RM65,000
|
RM62
|
1,050 sqft
|
|
LC House |
| 2022 | |||||
|
Lorong 1
|
RM70,000
|
RM67
|
1,044 sqft
|
|
LC House |
|
Lorong 4
|
RM100,000
|
RM95
|
1,055 sqft
|
|
LC House |
Selling in Rpa Iv Kampung Kerantina? Homes here sold for a median of RM115,000.
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Rpa Iv Kampung Kerantina
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 Durian Sebatang
Rpa Iv Kampung Kerantina in Hilir Perak, Perak recorded 6 subsale transactions between 2021 and 2026, sized between 1,025 and 1,074 sqft, with a median price of RM115K and a median price per square foot (PSF) of RM109.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM115K, with most transactions falling within a stable range of RM83K to RM147K, and a typical market range of RM89K to RM141K.
Most transactions involved low-cost house, with minimal variety in property types.
Price per square foot shows a median of RM109, though individual units vary from RM79 to RM139 in the core range. The broader market spans RM84.52 to RM133.52, indicating diverse property characteristics. A wider spread (IQR: RM49.00) and deviation (MAD: RM30) 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.