SS 4 Petaling Jaya

Ss 4, 47301 Petaling Jaya, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
Terrace
RM740,000
Jalan SS 4B/14
1,658 sqft · RM446 PSF
RM700,000
Jalan SS4B/12
1,647 sqft · RM425 PSF
1,700 sqft
Terrace
RM750,000
Jalan SS 4/8
1,680 sqft · RM446 PSF
RM770,000
SS4/15
1,680 sqft · RM458 PSF
2,000 sqft
Terrace
RM808,000
Jalan SS 4B/12
2,024 sqft · RM399 PSF
4,400 sqft
Semi-D
RM1,500,000
Jalan SS4A/3
4,424 sqft · RM339 PSF
5,400 sqft
Semi-D
RM2,550,000
Jalan SS 4B/3
5,382 sqft · RM474 PSF
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Market Snapshot

Residential

RM770,000

RM446 psf

Median transaction price

SS 4 Petaling Jaya
© OpenStreetMap · CARTO

Ss 4, 47301 Petaling Jaya, Selangor, Malaysia

Maps

SS 4 Petaling Jaya in Petaling, Selangor recorded 7 subsale transactions in 2021, with a median price of RM770K and a median price per square foot (PSF) of RM446.

This area contains both residential and commercial properties. View 70 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM770K, with most transactions falling within a stable range of RM700K to RM1.41 million, and a typical market range of RM700K to RM982K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM446, with most transactions between RM404 and RM489. The usual range is RM380.67 to RM512.17, showing that most units are priced quite close to each other. With an IQR of RM131.50 and MAD of RM42, 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.