SS 8 Petaling Jaya

Ss 8, 47300 Petaling Jaya, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM600,000
PSF
RM782
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Serviced Apt
RM520,000
Level 16
717 sqft · RM725 PSF
750 sqft
Serviced Apt
RM600,000
Level 32
747 sqft · RM803 PSF
1,100 sqft
Serviced Apt
RM850,000
Level 19
1,087 sqft · RM782 PSF
Legend Recent Highest Price Highest PSF

New Launches in Selangor

View all

Posts about SS 8 Petaling Jaya

What’s happening in SS 8 Petaling Jaya?

No posts about SS 8 Petaling Jaya yet. Be the first to share what’s happening here.

Property News

More property news →
SS 8 Petaling Jaya
© OpenStreetMap · CARTO

Ss 8, 47300 Petaling Jaya, Selangor, Malaysia

Maps

SS 8 Petaling Jaya in Petaling, Selangor recorded 3 Serviced Apt properties subsale transactions between 2021 and 2026, with a median price of RM600K and a median price per square foot (PSF) of RM782.

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 RM600K, with most transactions falling within a stable range of RM520K to RM741K, and a typical market range of RM520K to RM740K.

Within the Serviced Apt category, low-cost house dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM782, with most transactions between RM749 and RM815. The usual range is RM610.86 to RM952.86, showing that most units are priced quite close to each other. With an IQR of RM342.00 and MAD of RM33, 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.