Taman Lembah Maju

68000 Kuala Lumpur, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

17 subsales grouped by size

Median
RM 318,000
PSF
RM 448
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Townhouse
RM 300,000
Level 1
706 sqft · RM 425 PSF
RM 330,000
Level 1
706 sqft · RM 467 PSF
RM 270,000
Level 1
706 sqft · RM 382 PSF
RM 320,000
Level 1
706 sqft · RM 453 PSF
RM 320,000
Level G
710 sqft · RM 451 PSF
RM 300,000
Level 1
710 sqft · RM 422 PSF
+10 more
750 sqft
Townhouse
RM 318,000
Level 1
750 sqft · RM 424 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 318,000

RM 448 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 17 Town House properties subsale transactions between 2021 and 2026, with a median price of RM 318K and a median price per square foot (PSF) of RM 448.

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 RM 318K, with most transactions falling within a stable range of RM 281K to RM 355K, and a typical market range of RM 270K to RM 392K.

Within the Town House category, condominium/apartment dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 448, with core pricing between RM 395 and RM 501. Market pricing typically extends from RM 353.39 to RM 542.39, reflecting moderate variation in unit pricing. With an IQR of RM 189.00 and MAD of RM 53, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.