Taman Rawang Mutiara

Rawang Mutiara, 48000 Rawang, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM 165,000
PSF
RM 227
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Condo
RM 180,000
Level 1
661 sqft · RM 272 PSF
700 sqft
Condo
RM 160,000
Level 2
694 sqft · RM 231 PSF
RM 133,000
Level 3
691 sqft · RM 192 PSF
750 sqft
Condo
RM 170,000
Level 3
764 sqft · RM 223 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 165,000

RM 227 psf

Median transaction price

RM 650,000

RM 528 psf

Median transaction price

High

Rental Yield Data

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Taman Rawang Mutiara
© OpenStreetMap · CARTO

Rawang Mutiara, 48000 Rawang, Selangor, Malaysia

Maps

Taman Rawang Mutiara in Gombak, Selangor recorded 4 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 165K and a median price per square foot (PSF) of RM 227.

This area contains both residential and commercial properties. View 22 residential properties or 25 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 165K, with most transactions falling within a stable range of RM 147K to RM 180K, and a typical market range of RM 133K to RM 180K.

Within the Condo/Apartment category, flats dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 227, with core pricing between RM 198 and RM 255. Market pricing typically extends from RM 71.80 to RM 381.30, reflecting moderate variation in unit pricing. With an IQR of RM 309.50 and MAD of RM 29, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.