Taman Lembah Maju

68000 Kuala Lumpur, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

7 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM120,000
Level 3
748 sqft RM160 PSF
RM220,000
Level 1
746 sqft RM295 PSF
RM318,000
Level 1
750 sqft RM424 PSF
RM145,000
Level 3
764 sqft RM190 PSF
RM160,000
Level 2
763 sqft RM210 PSF
RM180,000
Level 3
769 sqft RM234 PSF
RM170,000
Level 2
769 sqft RM221 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Lembah Maju? Homes here sold for a median of RM170,000.

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Market Snapshot

Residential

RM170,000

RM221 psf

Median transaction price

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Taman Lembah Maju, 68000 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Lembah Maju in Hulu Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, sized between 725 and 774 sqft, with a median price of RM170K and a median price per square foot (PSF) of RM221.

This area contains both residential and commercial properties. View 101 residential properties or 6 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM170K, with most transactions falling within a stable range of RM120K to RM230K, and a typical market range of RM120K to RM244K.

Most transactions involved condominium/apartment, with high diversity across multiple property types.

Price per square foot shows a median of RM221, though individual units vary from RM140 to RM303 in the core range. The broader market spans RM126.64 to RM315.64, indicating diverse property characteristics. A wider spread (IQR: RM189.00) and deviation (MAD: RM82) indicate significant PSF variations, likely due to diverse property types or conditions.

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.