Taman Krishnan

Perak, Muallim, Slim

Property Transactions

8 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,550 sqft
Terrace
RM250,000
Jalan Nilam, Taman Krishnan
1,540 sqft · RM162 PSF
RM175,000
Jalan Nilam
1,540 sqft · RM114 PSF
RM225,000
Jalan. Intan Taman Krishnan
1,540 sqft · RM146 PSF
RM280,000
Jalan Intan
1,540 sqft · RM182 PSF
2,000 sqft
2-Sty Terrace
RM345,000
Jalan Intan
2,002 sqft · RM172 PSF
3,200 sqft
2-Sty Shop
RM1,120,000
Jalan Mutiara
3,218 sqft · RM348 PSF
3,500 sqft
2-Sty Shop
RM750,000
Jalan Mutiara
3,477 sqft · RM216 PSF
4,350 sqft
Semi-D
RM500,000
Off Jalan Slim Lama
4,335 sqft · RM115 PSF
Legend Recent Highest Price Highest PSF

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Taman Krishnan
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Taman Krishnan, Muallim, Perak

Taman Krishnan in Muallim, Perak recorded 8 subsale transactions between 2021 and 2026, with a median price of RM313K and a median price per square foot (PSF) of RM172.

This area contains both residential and commercial properties. View 6 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM313K, with most transactions falling within a stable range of RM200K to RM425K, and a typical market range of RM175K to RM472K.

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

Price per square foot shows a median of RM172, though individual units vary from RM118 to RM227 in the core range. The broader market spans RM118.32 to RM226.32, indicating diverse property characteristics. A wider spread (IQR: RM108.00) and deviation (MAD: RM55) 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.