Shang Villa SS7 P.jaya

Management Office, Block A or B, Shang Villa Condo, No. 2A, Jalan 15, SS7, 47301 Petaling Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM412,500
PSF
RM340
Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
Condo
RM390,000
Level 8
1,173 sqft · RM332 PSF
RM405,000
Level 13A
1,152 sqft · RM352 PSF
1,200 sqft
Condo
RM420,000
Level 2
1,206 sqft · RM348 PSF
1,300 sqft
Condo
RM400,000
Level 7
1,281 sqft · RM312 PSF
1,350 sqft
Condo
RM470,000
Level 16
1,345 sqft · RM349 PSF
1,400 sqft
Condo
RM435,000
Level 1
1,421 sqft · RM306 PSF
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Market Snapshot

Residential

RM412,500

RM340 psf

Median transaction price

Shang Villa SS7 P.jaya
© OpenStreetMap · CARTO

Management Office, Block A or B, Shang Villa Condo, No. 2A, Jalan 15, SS7, 47301 Petaling Jaya, Selangor, Malaysia

Maps

Shang Villa SS7 P.jaya in Petaling, Selangor recorded 6 subsale transactions in 2025, with a median price of RM413K and a median price per square foot (PSF) of RM340.

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 RM413K, with most transactions falling within a stable range of RM390K to RM439K, and a typical market range of RM390K to RM440K.

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

For price per square foot, the median is RM340, with most transactions between RM322 and RM359. The usual range is RM319.19 to RM361.19, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.00 and an average deviation (MAD) of RM18 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.