SS 12 Subang Jaya

Ss 12, 47500 Subang Jaya, Selangor, Malaysia

Property Transactions

13 subsales grouped by size · Terrace →

Median
RM 680,000
PSF
RM 405
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
2-Sty Terrace
RM 800,000
Jalan SS 12/1B
1,389 sqft · RM 576 PSF
RM 785,000
Jalan SS 12/1C
1,389 sqft · RM 565 PSF
1,700 sqft
Terrace
RM 635,000
Jalan SS 12/2E
1,679 sqft · RM 378 PSF
RM 620,000
Jalan SS 12/2B
1,679 sqft · RM 369 PSF
RM 733,000
Jalan SS 12/2A
1,679 sqft · RM 437 PSF
RM 668,000
Jalan SS 12/2D
1,679 sqft · RM 398 PSF
RM 850,000
Jalan SS 12/4
1,679 sqft · RM 506 PSF
RM 615,000
Jalan SS 12/2E
1,679 sqft · RM 366 PSF
+5 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 680,000

RM 405 psf

Median transaction price

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Ss 12, 47500 Subang Jaya, Selangor, Malaysia

Maps

SS 12 Subang Jaya in Petaling, Selangor recorded 13 subsale transactions between 2021 and 2026, with a median price of RM 680K and a median price per square foot (PSF) of RM 405.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 680K, with most transactions falling within a stable range of RM 615K to RM 761K, and a typical market range of RM 615K to RM 753K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM 405, with core pricing between RM 334 and RM 476. Market pricing typically extends from RM 373.59 to RM 436.34, reflecting moderate variation in unit pricing. The spread of RM 62.75 (IQR) and deviation of RM 71 (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.