SS 8 Petaling Jaya

Ss 8, 47300 Petaling Jaya, Selangor, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM650,000
PSF
RM694
Period
transactions middle 50% (P25–P75)
700 sqft
Serviced Apt
RM520,000
Level 16
717 sqft · RM725 PSF
RM600,000
Level 32
747 sqft · RM803 PSF
RM517,000
Level 13A
745 sqft · RM694 PSF
950 sqft
Condo
RM390,000
Level 8
936 sqft · RM417 PSF
1,100 sqft
Serviced Apt
RM850,000
Level 19
1,087 sqft · RM782 PSF
1,250 sqft
2-Sty Terrace
RM775,000
Jalan SS 8/8
1,227 sqft · RM632 PSF
RM650,000
Jalan SS 8/8
1,227 sqft · RM530 PSF
1,400 sqft
SOHO
RM1,150,000
Level 36
1,393 sqft · RM826 PSF
1,800 sqft
SOHO
RM800,000
Level 30
1,795 sqft · RM446 PSF
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SS 8 Petaling Jaya
© OpenStreetMap · CARTO

Ss 8, 47300 Petaling Jaya, Selangor, Malaysia

Maps

SS 8 Petaling Jaya in Petaling, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM650K and a median price per square foot (PSF) of RM694.

This area contains both residential and commercial properties. View 6 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM650K, with most transactions falling within a stable range of RM517K to RM783K, and a typical market range of RM510K to RM790K.

Most transactions involved low-cost house, with high diversity across multiple property types.

The median PSF stands at RM694, with core pricing between RM562 and RM826. Market pricing typically extends from RM522.99 to RM864.99, reflecting moderate variation in unit pricing. The spread of RM342.00 (IQR) and deviation of RM132 (MAD) suggest moderate price variations reflecting different property features.

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.