Seksyen 9 - Kota Damansara

Seksyen 9 Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 3,250,000
PSF
RM 388
Price Size
Period
transactions middle 50% (P25–P75)
8,000 sqft
Bungalow
RM 3,200,000
Jalan Rimba Riang 9/11
7,998 sqft · RM 400 PSF
RM 3,000,000
Jalan Rimba Riang 9/11
7,998 sqft · RM 375 PSF
9,300 sqft
Bungalow
RM 4,200,000
Jalan Rimba Riang 11/4
9,294 sqft · RM 452 PSF
9,900 sqft
Bungalow
RM 3,300,000
Jalan Rimba Riang 11/4
9,883 sqft · RM 334 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 3,250,000

RM 388 psf

Median transaction price

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Seksyen 9 Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia

Maps

Seksyen 9 - Kota Damansara in Petaling, Selangor recorded 4 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 3.25 million and a median price per square foot (PSF) of RM 388.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 3.25 million, with most transactions falling within a stable range of RM 3.00 million to RM 3.71 million, and a typical market range of RM 3.00 million to RM 4.20 million.

Within the Bungalow category, 2 - 2 1/2 storey semi-detached dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 388, with core pricing between RM 345 and RM 430. Market pricing typically extends from RM 306.12 to RM 469.12, reflecting moderate variation in unit pricing. With an IQR of RM 163.00 and MAD of RM 43, 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.