Spring Villa -SS12 Subang Jaya

86, Jalan SS 12/2e, Ss 12, 47500 Subang Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales found

Median
RM640,000
PSF
RM327
Price Size
Period
transactions middle 50% (P25–P75)
RM630,000
Level 3
1,959 sqft RM322 PSF
RM600,000
Level 4
1,927 sqft RM311 PSF
RM600,000
Level 2
1,927 sqft RM311 PSF
RM685,000
Level 8
1,927 sqft RM356 PSF
RM650,000
Level 11
1,959 sqft RM332 PSF
RM680,000
Level 12
1,959 sqft RM347 PSF
Legend Recent Highest Price Highest PSF

Selling in Spring Villa -SS12 Subang Jaya? Homes here sold for a median of RM640,000.

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Market Snapshot

Residential

RM640,000

RM327 psf

Median transaction price

Spring Villa -SS12 Subang Jaya
© OpenStreetMap · CARTO

86, Jalan SS 12/2e, Ss 12, 47500 Subang Jaya, Selangor, Malaysia

Maps

Spring Villa -SS12 Subang Jaya in Petaling, Selangor recorded 6 subsale transactions between 2021 and 2026, sized between 1,925 and 1,974 sqft, with a median price of RM640K and a median price per square foot (PSF) of RM327.

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 RM640K, with most transactions falling within a stable range of RM606K to RM674K, and a typical market range of RM600K to RM685K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM327, with most transactions between RM310 and RM344. The usual range is RM310.44 to RM342.94, showing that most units are priced quite close to each other. A typical spread (IQR) of RM32.50 and an average deviation (MAD) of RM17 indicate a highly stable PSF trend across properties.

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.