Taman Sri mutiara

10, Jln Sungai Daun 1, Batu 4, 42100 Klang, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
RM345,000
Jalan Sungai Daun 1
1,432 sqft · RM241 PSF
RM443,000
Jalan Sungai Daun 1A
1,432 sqft · RM309 PSF
RM560,000
Jalan Sungai Daun 1A
1,432 sqft · RM391 PSF
RM397,000
Lorong Sungai Daun 1
1,432 sqft · RM277 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sri Mutiara? Homes here sold for a median of RM420,000.

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Market Snapshot

Residential

RM420,000

RM293 psf

Median transaction price

Taman Sri Mutiara
© OpenStreetMap · CARTO

Taman Sri mutiara, 10, Jln Sungai Daun 1, Batu 4, 42100 Klang, Selangor, Malaysia

Maps

Taman Sri mutiara in Klang, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 1,425 and 1,474 sqft, with a median price of RM420K and a median price per square foot (PSF) of RM293.

This area contains both residential and commercial properties. View 8 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 RM420K, with most transactions falling within a stable range of RM345K to RM499K, and a typical market range of RM345K to RM560K.

Most transactions involved flats, with high diversity across multiple property types.

The median PSF stands at RM293, with core pricing between RM238 and RM349. Market pricing typically extends from RM176.38 to RM410.38, reflecting moderate variation in unit pricing. The spread of RM234.00 (IQR) and deviation of RM55 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.