| LIST.MY · Kampung Baru Rimba Panjang | |||||
|---|---|---|---|---|---|
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Road
|
Price
|
PSF
|
Size
|
Date
|
Type
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| 2025 | |||||
|
Jalan Chemor-Sungai Siput
|
RM86,000
|
RM23
|
3,790 sqft
|
|
Bungalow |
|
Sungai Siput
|
RM200,000
|
RM51
|
3,897 sqft
|
|
Bungalow |
| 2024 | |||||
|
Kampung Baru Rimba Panjang
|
RM327,000
|
RM83
|
3,940 sqft
|
|
Bungalow |
|
Kampung Baru Rimba Panjang
|
RM480,000
|
RM109
|
4,402 sqft
|
|
3-Sty Shop |
| 2023 | |||||
|
Kampung. Baru Rimba Panjang
|
RM500,000
|
RM136
|
3,681 sqft
|
|
Bungalow |
| 2022 | |||||
|
Kampung. Baru Rimba Panjang
|
RM270,000
|
RM70
|
3,853 sqft
|
|
Bungalow |
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Kampung Baru Rimba Panjang
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 Sungei Siput
KAMPUNG BARU RIMBA PANJANG, Sungei Siput, 30100, Kuala Kangsar, Perak, Malaysia
Kampung Baru Rimba Panjang in Kuala Kangsar, Perak recorded 6 subsale transactions between 2021 and 2026, with a median price of RM299K and a median price per square foot (PSF) of RM83.
This area contains both residential and commercial properties. View 5 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM299K, with most transactions falling within a stable range of RM159K to RM439K, and a typical market range of RM186K to RM411K.
Most transactions involved detached, though some variety exists in the market.
Price per square foot shows a median of RM83, though individual units vary from RM51 to RM115 in the core range. The broader market spans RM57.38 to RM108.63, indicating diverse property characteristics. A wider spread (IQR: RM51.25) and deviation (MAD: RM32) 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.