No Transactions Found
We couldn't find any transactions matching your current filters in Kampung Perhentian.
Adjust Your Filters
No transactions match these filters. Widen the price, size or date range to see more.
Posts about Kampung Perhentian
No posts about Kampung Perhentian yet. Be the first to share what’s happening here.
Nearby areas in Slim
Taman Slim Indah
Taman Wira Baru
Bandar Baru Slim
Pusat Perniagaan Slim Perdana
Rpa Slim River Iii
Taman Slim Permai
Taman Krishnan
Kampung Baru Slim River
Taman Bukit Slim
Taman Slim River
Taman Slim Permata
Kampung Jaya Kuala Slim
Kampung Perhentian
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 Slim
Promote your property to visitors of this page
KAMPUNG PERHENTIAN, Slim, BH1523, Muallim, Perak, Malaysia
Kampung Perhentian in Muallim, Perak recorded 0 subsale transactions between 2021 and 2026, with a median price of RM215K and a median price per square foot (PSF) of RM54.
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 RM215K, with most transactions falling within a stable range of RM200K to RM230K, and a typical market range of RM208K to RM223K.
Most transactions involved detached, with minimal variety in property types.
For price per square foot, the median is RM54, with most transactions between RM51 and RM56. The usual range is RM52.25 to RM54.75, showing that most units are priced quite close to each other. A typical spread (IQR) of RM2.50 and an average deviation (MAD) of RM3 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.