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
RM330,000
Jalan Murni 18
700 sqft · RM472 PSF
RM335,000
Jalan Murni 18
700 sqft · RM479 PSF
RM305,000
Jalan 11
700 sqft · RM436 PSF
RM332,000
Jalan 12
700 sqft · RM475 PSF
RM295,000
Jalan Murni 10
700 sqft · RM422 PSF
1,000 sqft
2-Sty Terrace
RM420,000
Jalan 9
1,012 sqft · RM415 PSF
1,100 sqft
2-Sty Terrace
RM450,000
Jalan 5
1,109 sqft · RM406 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Murni (Cheras)? Homes here sold for a median of RM332,000.

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Market Snapshot

Residential

RM332,000

RM436 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 in 2021, with a median price of RM332K and a median price per square foot (PSF) of RM436.

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 RM332K, with most transactions falling within a stable range of RM295K to RM387K, and a typical market range of RM295K to RM397K.

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

For price per square foot, the median is RM436, with most transactions between RM407 and RM465. The usual range is RM405.43 to RM466.43, showing that most units are priced quite close to each other. With an IQR of RM61.00 and MAD of RM29, the PSF demonstrates reasonable consistency across the market.

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.