Desa Seri Setia

43900 Sepang, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM494,000
Jalan Dss 9
1,216 sqft · RM406 PSF
RM494,000
Jalan Dss 9
1,216 sqft · RM406 PSF
1,350 sqft
Terrace
RM537,000
Jalan Desa Seri Setia
1,345 sqft · RM399 PSF
1,400 sqft
Terrace
RM422,000
Jalan Desa Seri Setia
1,399 sqft · RM302 PSF
RM510,000
Jalan Dss 9
1,378 sqft · RM370 PSF
1,550 sqft
2-Sty Terrace
RM494,000
Jalan Dss 9
1,528 sqft · RM323 PSF
3,100 sqft
Terrace
RM509,000
Jalan Dss 10
3,100 sqft · RM164 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM494,000

RM370 psf

Median transaction price

Desa Seri Setia
© OpenStreetMap · CARTO

Desa Seri Setia, 43900 Sepang, Selangor, Malaysia

Maps

Desa Seri Setia in Sepang, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM494K and a median price per square foot (PSF) of RM370.

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 RM494K, with most transactions falling within a stable range of RM461K to RM527K, and a typical market range of RM474K to RM514K.

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

Price per square foot shows a median of RM370, though individual units vary from RM289 to RM451 in the core range. The broader market spans RM332.91 to RM407.41, indicating diverse property characteristics. The spread of RM74.50 (IQR) and deviation of RM81 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.