Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Orkid
|
RM265,000
|
RM189
|
1,399 sqft
|
|
|
|
Jalan Orkid
|
RM240,000
|
RM172
|
1,399 sqft
|
|
|
|
Jalan Orkid
|
RM265,000
|
RM189
|
1,399 sqft
|
|
|
|
Jalan Orkid 5
|
RM230,000
|
RM164
|
1,399 sqft
|
|
|
|
Jalan Orkid 5
|
RM260,000
|
RM186
|
1,399 sqft
|
|
|
Jalan Okid
|
RM380,000
|
RM201
|
1,894 sqft
|
|
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Nearby areas in Slim
Taman Slim Indah
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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
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
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TAMAN BUKIT SLIM, Slim, Muallim, Perak, Malaysia
Taman Bukit Slim in Muallim, Perak recorded 6 subsale transactions between 2021 and 2026, with a median price of RM263K and a median price per square foot (PSF) of RM189.
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 RM263K, with most transactions falling within a stable range of RM250K to RM275K, and a typical market range of RM253K to RM273K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM189, with most transactions between RM181 and RM198. The usual range is RM182.63 to RM196.13, showing that most units are priced quite close to each other. A typical spread (IQR) of RM13.50 and an average deviation (MAD) of RM9 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.