Kota Malim Prima

Perak, Muallim, Hulu Bernam Timor

Property Transactions

10 subsales grouped by size

Median
RM 250,000
PSF
RM 171
Price Size
450 sqft
Flat
RM 79,000
Level 1
474 sqft · RM 167 PSF
RM 230,000
Jalan Kmp 1/4
1,400 sqft · RM 164 PSF
RM 250,000
Jalan Kmp 1/4
1,400 sqft · RM 179 PSF
RM 230,000
Jalan Kmp 2A/4
1,399 sqft · RM 164 PSF
RM 245,000
Jalan Kmp 1/10
1,400 sqft · RM 175 PSF
RM 370,000
Jalan Kmp 1/10,Jalan Behrang Stesen
1,421 sqft · RM 260 PSF
RM 250,000
Jalan Kmp 2A/3
1,399 sqft · RM 179 PSF
RM 250,000
Jalan Kmp 2A/2
1,399 sqft · RM 179 PSF
4,000 sqft
Bungalow
RM 380,000
Jalan Kmp 2B/2
4,004 sqft · RM 95 PSF
RM 450,000
Jalan Kmp 2B/2
4,004 sqft · RM 112 PSF
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Market Snapshot

Residential

RM 250,000

RM 171 psf

Median transaction price

Kota Malim Prima in Muallim, Perak recorded 10 subsale transactions in 2024, with a median price of RM 250K and a median price per square foot (PSF) of RM 171.

This area contains both residential and commercial properties. View 59 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 250K, with most transactions falling within a stable range of RM 152K to RM 348K, and a typical market range of RM 220K to RM 280K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM 171, though individual units vary from RM 129 to RM 212 in the core range. The broader market spans RM 156.64 to RM 184.89, indicating diverse property characteristics. The spread of RM 28.25 (IQR) and deviation of RM 42 (MAD) suggest moderate price variations reflecting different property features.

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.