Taman Sentosa Damai

Jalan SD 2, Taman Sentosa Damai, Taman Desa Sentosa, 43000 Kajang, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,150 sqft
Semi-D
RM849,000
Jalan Sd 3
3,154 sqft · RM269 PSF
RM849,000
Jalan Sd 3
3,154 sqft · RM269 PSF
RM850,000
Jalan Sd 3
3,165 sqft · RM269 PSF
RM850,000
Jalan Sd 3
3,165 sqft · RM269 PSF
3,200 sqft
Semi-D
RM855,000
Jalan Sd 3
3,175 sqft · RM269 PSF
RM855,000
Jalan Sd 3
3,175 sqft · RM269 PSF
9,200 sqft
Semi-D
RM1,332,000
Jalan Sd 3
9,182 sqft · RM145 PSF
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Market Snapshot

Residential

RM850,000

RM269 psf

Median transaction price

Taman Sentosa Damai
© OpenStreetMap · CARTO

Jalan SD 2, Taman Sentosa Damai, Taman Desa Sentosa, 43000 Kajang, Selangor, Malaysia

Maps

Taman Sentosa Damai in Sepang, Selangor recorded 7 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM850K and a median price per square foot (PSF) of RM269.

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 RM850K, with most transactions falling within a stable range of RM849K to RM1.02 million, and a typical market range of RM849K to RM853K.

Within the Double Storey Semi-D category, 2 - 2 1/2 storey semi-detached dominated the market, though some variety exists in the market.

The median PSF stands at RM269, with core pricing between RM226 and RM313. Market pricing typically extends from RM268.83 to RM269.58, reflecting moderate variation in unit pricing. The spread of RM0.75 (IQR) and deviation of RM43 (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. 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.