SS 16, Subang Jaya

Ss 16, Subang Jaya, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size · Serviced Apt →

Median
RM 1,036,500
PSF
RM 989
550 sqft
Serviced Apt
RM 270,000
Level 5
549 sqft · RM 492 PSF
600 sqft
Serviced Apt
RM 923,000
Level 15
624 sqft · RM 1,478 PSF
800 sqft
Serviced Apt
RM 780,000
Level 17
786 sqft · RM 993 PSF
850 sqft
Serviced Apt
RM 843,000
Level 11
861 sqft · RM 979 PSF
900 sqft
Shop
RM 1,926,000
Level LG
893 sqft · RM 2,156 PSF
1,150 sqft
Serviced Apt
RM 1,150,000
Level 18
1,163 sqft · RM 989 PSF
1,700 sqft
Serviced Apt
RM 1,550,000
Level 1
1,722 sqft · RM 900 PSF
2,350 sqft
Serviced Apt
RM 1,860,000
Level 1
2,325 sqft · RM 800 PSF
8
transactions

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Ss 16, Subang Jaya, Selangor, Malaysia

Maps

SS 16, Subang Jaya in Petaling, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 1.04 million and a median price per square foot (PSF) of RM 989.

This area contains both residential and commercial properties. View 7 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.04 million, with most transactions falling within a stable range of RM 652K to RM 1.42 million, and a typical market range of RM 636K to RM 1.44 million.

Most transactions involved serviced apartment, though some variety exists in the market.

The median PSF stands at RM 989, with core pricing between RM 855 and RM 1,123. Market pricing typically extends from RM 869.63 to RM 1,108.88, reflecting moderate variation in unit pricing. With an IQR of RM 239.25 and MAD of RM 134, 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.