SS 13 , Subang Jaya

Ss 13, 47500 Subang Jaya, Selangor, Malaysia

Property Transactions

10 subsales grouped by size

Median
RM 6,440,000
PSF
RM 549
10,000 sqft
Factory
RM 6,380,000
Jalan SS 13/3A
10,000 sqft · RM 638 PSF
10,800 sqft
Factory
RM 6,200,000
Jalan SS 13/6A
10,778 sqft · RM 575 PSF
11,050 sqft
Factory
RM 6,500,000
Jalan SS 13/3C
11,029 sqft · RM 589 PSF
11,300 sqft
Factory
RM 5,800,000
Jalan SS 13/6B
11,300 sqft · RM 513 PSF
11,400 sqft
Factory
RM 6,800,000
Jalan SS 13/3F
11,398 sqft · RM 597 PSF
RM 5,700,000
Jalan SS 13/3F
11,398 sqft · RM 500 PSF
11,900 sqft
Factory
RM 6,550,000
Jalan SS 13/6A
11,925 sqft · RM 549 PSF
12,000 sqft
Factory
RM 6,000,000
Jalan SS 13/3F
12,017 sqft · RM 499 PSF
RM 6,500,000
Jalan SS 13/3F
12,015 sqft · RM 541 PSF
12,050 sqft
Factory
RM 6,600,000
Jalan SS 13/3D
12,027 sqft · RM 549 PSF
10
transactions

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SS 13 , Subang Jaya
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Ss 13, 47500 Subang Jaya, Selangor, Malaysia

Maps

SS 13 , Subang Jaya in Petaling, Selangor recorded 10 subsale transactions between 2021 and 2026, with a median price of RM 6.44 million and a median price per square foot (PSF) of RM 549.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 6.44 million, with most transactions falling within a stable range of RM 6.24 million to RM 6.64 million, and a typical market range of RM 6.20 million to RM 6.68 million.

Most transactions involved detached factory/warehouse, with minimal variety in property types.

For price per square foot, the median is RM 549, with most transactions between RM 511 and RM 587. The usual range is RM 516.54 to RM 582.04, showing that most units are priced quite close to each other. With an IQR of RM 65.50 and MAD of RM 38, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.