North Point ( Mid - Valley )

1, Medan Syed Putra Utara, Mid Valley City, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM1,660,000
PSF
RM855
Period
transactions middle 50% (P25–P75)
1,400 sqft
Office
RM1,215,000
Level 11
1,421 sqft · RM855 PSF
1,900 sqft
Office
RM1,650,000
Level 16
1,905 sqft · RM866 PSF
2,000 sqft
Office
RM1,790,000
Level 5
2,002 sqft · RM894 PSF
RM1,660,000
Level 8
2,002 sqft · RM829 PSF
RM1,860,000
Level 14
2,002 sqft · RM929 PSF
2,400 sqft
Shop
RM170,000
Level G
2,422 sqft · RM70 PSF
9,600 sqft
Office
RM8,171,000
Level 16
9,591 sqft · RM852 PSF
Legend Recent Highest Price Highest PSF

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1, Medan Syed Putra Utara, Mid Valley City, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

North Point ( Mid - Valley ) in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions between 2021 and 2026, with a median price of RM1.66 million and a median price per square foot (PSF) of RM855.

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 RM1.66 million, with most transactions falling within a stable range of RM1.46 million to RM1.86 million, and a typical market range of RM1.46 million to RM1.86 million.

Most transactions involved office lot, though some variety exists in the market.

For price per square foot, the median is RM855, with most transactions between RM829 and RM881. The usual range is RM835.38 to RM874.88, showing that most units are priced quite close to each other. A typical spread (IQR) of RM39.50 and an average deviation (MAD) of RM26 indicate a highly stable PSF trend across properties.

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.