Taman Mutiara Rinching

Jalan Mutiara Rinching 1, Taman Mutiara Rinching, 43500 Semenyih, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM 320,000
PSF
RM 363
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM 418,000
Level 1
883 sqft · RM 474 PSF
RM 320,000
Level 1
883 sqft · RM 363 PSF
RM 385,000
Level 1
883 sqft · RM 436 PSF
RM 273,000
Level 3
883 sqft · RM 309 PSF
RM 320,000
Level 2
883 sqft · RM 363 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 320,000

RM 363 psf

Median transaction price

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Jalan Mutiara Rinching 1, Taman Mutiara Rinching, 43500 Semenyih, Selangor, Malaysia

Maps

Taman Mutiara Rinching in Hulu Langat, Selangor recorded 5 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 320K and a median price per square foot (PSF) of RM 363.

This area contains both residential and commercial properties. View 9 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 RM 320K, with most transactions falling within a stable range of RM 273K to RM 372K, and a typical market range of RM 273K to RM 418K.

Within the Condo/Apartment category, condominium/apartment dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 363, with core pricing between RM 304 and RM 421. Market pricing typically extends from RM 322.55 to RM 402.55, reflecting moderate variation in unit pricing. The spread of RM 80.00 (IQR) and deviation of RM 59 (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.