Sek. 22 Petaling Jaya

Seksyen 22, Petaling Jaya, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM2,130,000
PSF
RM261
Price Size
Period
transactions middle 50% (P25–P75)
8,050 sqft
Bungalow
RM4,200,000
Jalan 22/40
8,035 sqft · RM523 PSF
8,150 sqft
Bungalow
RM2,130,000
Jalan 22/38
8,170 sqft · RM261 PSF
9,550 sqft
Bungalow
RM1,700,000
Jalan 22/24A
9,543 sqft · RM178 PSF
Legend Recent Highest Price Highest PSF

Selling in Sek. 22 Petaling Jaya? Homes here sold for a median of RM2,130,000.

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Market Snapshot

Residential

RM2,130,000

RM261 psf

Median transaction price

Sek. 22 Petaling Jaya
© OpenStreetMap · CARTO

Seksyen 22, Petaling Jaya, Selangor, Malaysia

Maps

Sek. 22 Petaling Jaya in Petaling, Selangor recorded 3 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM2.13 million and a median price per square foot (PSF) of RM261.

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 RM2.13 million, with most transactions falling within a stable range of RM1.70 million to RM3.22 million, and a typical market range of RM2.00 million to RM2.26 million.

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

Price per square foot shows a median of RM261, though individual units vary from RM114 to RM408 in the core range. The broader market spans RM212.97 to RM308.47, indicating diverse property characteristics. A wider spread (IQR: RM95.50) and deviation (MAD: RM147) 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.