Alam Sutera

57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM3,975,000
PSF
RM507
Price Size
Period
transactions middle 50% (P25–P75)
6,800 sqft
Bungalow
RM3,250,000
Jalan Alam Sutera 5
6,814 sqft · RM477 PSF
8,200 sqft
Bungalow
RM4,400,000
Jalan Alam Sutera 8
8,202 sqft · RM536 PSF
8,750 sqft
Bungalow
RM3,550,000
Jalan Alam Sutera 8
8,751 sqft · RM406 PSF
8,850 sqft
Bungalow
RM6,000,000
Jalan Alam Sutera 2
8,869 sqft · RM676 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM3,975,000

RM507 psf

Median transaction price

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Alam Sutera, 57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Alam Sutera in Kuala Lumpur, Kuala Lumpur recorded 4 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM3.98 million and a median price per square foot (PSF) of RM507.

This area contains both residential and commercial properties. View 17 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM3.98 million, with most transactions falling within a stable range of RM3.25 million to RM5.04 million, and a typical market range of RM3.46 million to RM4.49 million.

Within the Bungalow category, 2 - 2 1/2 storey semi-detached dominated the market, with high diversity across multiple property types.

The median PSF stands at RM507, with core pricing between RM407 and RM606. Market pricing typically extends from RM432.97 to RM580.47, reflecting moderate variation in unit pricing. The spread of RM147.50 (IQR) and deviation of RM100 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.