Wisma Mah Seng (Wisma Mutiara)

Suite4-1, 3rd Floor, Wisma Mutiara,165, Malaysia, 165, Jln Sungai Besi, Pudu, 50460 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM280,000
PSF
RM232
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Office
RM170,000
Level 7
732 sqft · RM232 PSF
1,300 sqft
Office
RM280,000
Level 6
1,302 sqft · RM215 PSF
1,800 sqft
Office
RM650,000
Level 5
1,819 sqft · RM357 PSF
Legend Recent Highest Price Highest PSF

Selling in Wisma Mah Seng (Wisma Mutiara)? Homes here sold for a median of RM280,000.

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Market Snapshot

Commercial

RM280,000

RM232 psf

Median transaction price

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Suite4-1, 3rd Floor, Wisma Mutiara,165, Malaysia, 165, Jln Sungai Besi, Pudu, 50460 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Wisma Mah Seng (Wisma Mutiara) in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions between 2021 and 2026, with a median price of RM280K and a median price per square foot (PSF) of RM232.

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 RM280K, with most transactions falling within a stable range of RM170K to RM485K, and a typical market range of RM170K to RM450K.

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

Price per square foot shows a median of RM232, though individual units vary from RM169 to RM296 in the core range. The broader market spans RM122.01 to RM342.51, indicating diverse property characteristics. A wider spread (IQR: RM220.50) and deviation (MAD: RM63) 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.