The Landmark

Persiaran Batu Nilam 16, Bandar Bukit Tinggi 1, 41200 Klang, Selangor, Malaysia

Property Transactions

7 subsales found

Median
RM1,280,000
PSF
RM642

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
RM1,250,000
Level 3
2,056 sqft RM608 PSF
RM2,250,000
Level 6
3,218 sqft RM699 PSF
RM950,000
Level 5
1,970 sqft RM482 PSF
RM1,030,000
Level 3A
2,077 sqft RM496 PSF
RM3,000,000
Level 3
4,672 sqft RM642 PSF
RM1,280,000
Level 1
1,690 sqft RM757 PSF
RM1,330,000
Level 6
1,981 sqft RM672 PSF
Legend Recent Highest Price Highest PSF

Selling in The Landmark? Homes here sold for a median of RM1,280,000.

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Market Snapshot

Commercial

RM1,280,000

RM642 psf

Median transaction price

The Landmark @ Bbt2
© OpenStreetMap · CARTO

The Landmark, Persiaran Batu Nilam 16, Bandar Bukit Tinggi 1, 41200 Klang, Selangor, Malaysia

Maps

The Landmark in Klang, Selangor recorded 7 subsale transactions in 2024, with a median price of RM1.28 million and a median price per square foot (PSF) of RM642.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.28 million, with most transactions falling within a stable range of RM950K to RM1.98 million, and a typical market range of RM950K to RM1.71 million.

Most transactions involved office lot, with minimal variety in property types.

The median PSF stands at RM642, with core pricing between RM547 and RM737. Market pricing typically extends from RM598.82 to RM685.57, reflecting moderate variation in unit pricing. With an IQR of RM86.75 and MAD of RM95, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.