Taman Alam Shah

41000 Klang, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Period
transactions middle 50% (P25–P75)
3,350 sqft
Semi-D
RM480,000
Jalan 4B/KS2
3,369 sqft · RM142 PSF
3,400 sqft
Semi-D
RM810,000
Jalan 4A/KS2
3,401 sqft · RM238 PSF
6,700 sqft
Semi-D
RM750,000
Jalan Kota Raja KS 2
6,684 sqft · RM112 PSF
7,900 sqft
Bungalow
RM900,000
Lorong 3
7,887 sqft · RM114 PSF
9,550 sqft
Bungalow
RM900,000
Lorong 5
9,547 sqft · RM94 PSF
9,700 sqft
Semi-D
RM950,000
Jalan Kota Raja
9,709 sqft · RM98 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Alam Shah? Homes here sold for a median of RM855,000.

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Taman Alam Shah, 41000 Klang, Selangor, Malaysia

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Taman Alam Shah in Klang, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM855K and a median price per square foot (PSF) of RM114.

Nothing is listed in Taman Alam Shah right now. Browse properties for sale in Kelang and properties for rent in Kelang nearby, then use the 6 sales recorded here to judge whether an asking price is fair.

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 RM855K, with most transactions falling within a stable range of RM785K to RM925K, and a typical market range of RM788K to RM923K.

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

The median PSF stands at RM114, with core pricing between RM97 and RM131. Market pricing typically extends from RM97.37 to RM130.87, reflecting moderate variation in unit pricing. With an IQR of RM33.50 and MAD of RM17, the PSF demonstrates reasonable consistency across the market.

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.