Mutiara Damansara
Petaling Jaya, Selangor, Malaysia
Petaling Jaya, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan PJU 7/12
|
RM 1,323,000
|
RM 917
|
1,442 sqft
|
|
|
|
Jalan PJU 7/12B
|
RM 1,280,000
|
RM 887
|
1,442 sqft
|
|
|
Jalan PJU 7/9
|
RM 1,470,000
|
RM 828
|
1,776 sqft
|
|
|
|
Jalan PJU 7/11
|
RM 1,500,000
|
RM 845
|
1,776 sqft
|
|
|
|
Jalan PJU 7/11A
|
RM 1,430,000
|
RM 805
|
1,776 sqft
|
|
|
|
Jalan PJU 7/8D
|
RM 1,550,000
|
RM 873
|
1,776 sqft
|
|
|
Jalan PJU 7/16
|
RM 1,600,000
|
RM 572
|
2,799 sqft
|
|
|
Jalan PJU 7/29
|
RM 6,000,000
|
RM 722
|
8,305 sqft
|
|
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Market Snapshot
ResidentialRM 1,470,000
RM 845 psfMedian transaction price
Mutiara Damansara, Petaling Jaya, Selangor, Malaysia
MapsMutiara Damansara in Petaling, Selangor recorded 8 subsale transactions in 2025, with a median price of RM 1.49 million and a median price per square foot (PSF) of RM 836.
This area contains both residential and commercial properties. View 66 residential properties or 10 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.49 million, with most transactions falling within a stable range of RM 1.28 million to RM 2.99 million, and a typical market range of RM 1.28 million to RM 2.05 million.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
The median PSF stands at RM 836, with core pricing between RM 732 and RM 941. Market pricing typically extends from RM 753.42 to RM 919.17, reflecting moderate variation in unit pricing. With an IQR of RM 165.75 and MAD of RM 104, 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.