Taman Murni (Cheras)

Taman Murni, 43200 Cheras, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
LC House
RM285,000
Jalan 11
700 sqft · RM407 PSF
RM310,000
Jalan 11
700 sqft · RM443 PSF
RM450,000
Jalan 7
700 sqft · RM643 PSF
RM280,000
Jalan Murni 18
700 sqft · RM400 PSF
1,000 sqft
2-Sty Terrace
RM395,000
Jalan 4
1,012 sqft · RM390 PSF
RM350,000
Jalan 4
1,012 sqft · RM346 PSF
RM400,000
Jalan 4
1,012 sqft · RM395 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Murni (Cheras)? Homes here sold for a median of RM350,000.

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Market Snapshot

Residential

RM350,000

RM400 psf

Median transaction price

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Taman Murni, 43200 Cheras, Selangor, Malaysia

Maps

Taman Murni (Cheras) in Hulu Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM350K and a median price per square foot (PSF) of RM400.

This area contains both residential and commercial properties. View 28 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 RM350K, with most transactions falling within a stable range of RM290K to RM410K, and a typical market range of RM285K to RM415K.

Most transactions involved low-cost house, with moderate diversity in property types available.

Price per square foot shows a median of RM400, though individual units vary from RM310 to RM490 in the core range. The broader market spans RM369.70 to RM430.70, indicating diverse property characteristics. The spread of RM61.00 (IQR) and deviation of RM90 (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.