North Point (Residences)

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

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From
RM 600K
Size
800 sqft

Property Transactions

4 subsales grouped by size · Serviced Apt →

Median
RM 1,280,000
PSF
RM 901
Price Size
1,350 sqft
Serviced Apt
RM 1,280,000
Level 18
1,367 sqft · RM 936 PSF
RM 1,280,000
Level 16
1,367 sqft · RM 936 PSF
1,400 sqft
Office
RM 1,200,000
Level 7
1,421 sqft · RM 845 PSF
1,900 sqft
Serviced Apt
RM 1,650,000
Level 17
1,905 sqft · RM 866 PSF
Legend Recent Highest Price Highest PSF

Posts about North Point (Residences)

North Point (Residences)
© OpenStreetMap · CARTO

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

Maps

North Point (Residences) in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2023, with a median price of RM 1.28 million and a median price per square foot (PSF) of RM 901.

This area contains both residential and commercial properties. View 8 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.28 million, with most transactions falling within a stable range of RM 1.20 million to RM 1.45 million, and a typical market range of RM 1.24 million to RM 1.32 million.

Most transactions involved serviced apartment, though some variety exists in the market.

For price per square foot, the median is RM 901, with most transactions between RM 860 and RM 942. The usual range is RM 868.82 to RM 933.57, showing that most units are priced quite close to each other. With an IQR of RM 64.75 and MAD of RM 41, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.