Taman Desa Subang

40150 Shah Alam, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 900,000
PSF
RM 270
Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
2-Sty Terrace
RM 560,000
Jalan Waruna U5/133
1,561 sqft · RM 359 PSF
3,650 sqft
2-Sty Shop
RM 900,000
Jalan Waruna Ar U5/Ar
3,649 sqft · RM 247 PSF
4,650 sqft
2-Sty Shop
RM 1,250,000
Jalan Waruna Ar U5/Ar
4,628 sqft · RM 270 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Desa Subang

What’s happening in Taman Desa Subang?

No posts about Taman Desa Subang yet. Be the first to share what’s happening here.

Property News

More property news →
Taman Desa Subang
© OpenStreetMap · CARTO

Taman Desa Subang, 40150 Shah Alam, Selangor, Malaysia

Maps

Taman Desa Subang in Petaling, Selangor recorded 3 subsale transactions in 2023, with a median price of RM 900K and a median price per square foot (PSF) of RM 270.

This area contains both residential and commercial properties. View 5 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 900K, with most transactions falling within a stable range of RM 618K to RM 1.18 million, and a typical market range of RM 560K to RM 1.25 million.

Most transactions involved 2 - 2 1/2 storey shop, with high diversity across multiple property types.

The median PSF stands at RM 270, with core pricing between RM 222 and RM 318. Market pricing typically extends from RM 163.95 to RM 376.20, reflecting moderate variation in unit pricing. The spread of RM 212.25 (IQR) and deviation of RM 48 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.