Sek. 11, Petaling Jaya

No. 19, Jalan Kenyalang 11/4B, Bayu Damansara, 47810 Petaling Jaya, Selangor, Malaysia

Property Transactions

4 subsales grouped by size · Bungalow →

Median
RM 2,700,000
PSF
RM 295
Price Size
5,200 sqft
Bungalow
RM 2,500,000
Jalan.11/14
5,200 sqft · RM 481 PSF
6,700 sqft
Bungalow
RM 1,750,000
Jalan 11/7
6,688 sqft · RM 262 PSF
9,650 sqft
Bungalow
RM 3,180,000
Jalan Bukit 11/2
9,658 sqft · RM 329 PSF
12,500 sqft
Bungalow
RM 2,900,000
Jalan 11/12
12,504 sqft · RM 232 PSF
Legend Recent Highest Price Highest PSF
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Market Snapshot

Residential

RM 2,700,000

RM 295 psf

Median transaction price

Sek. 11, Petaling Jaya
© OpenStreetMap · CARTO

No. 19, Jalan Kenyalang 11/4B, Bayu Damansara, 47810 Petaling Jaya, Selangor, Malaysia

Maps

Sek. 11, Petaling Jaya in Petaling, Selangor recorded 4 subsale transactions in 2023, with a median price of RM 2.70 million and a median price per square foot (PSF) of RM 295.

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 2.70 million, with most transactions falling within a stable range of RM 2.16 million to RM 3.18 million, and a typical market range of RM 1.88 million to RM 3.18 million.

Most transactions involved detached, with moderate diversity in property types available.

Price per square foot shows a median of RM 295, though individual units vary from RM 199 to RM 392 in the core range. The broader market spans RM 195.72 to RM 395.22, indicating diverse property characteristics. A wider spread (IQR: RM 199.50) and deviation (MAD: RM 96) indicate significant PSF variations, likely due to diverse property types or conditions.

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.