North Point (Residences)
1, Medan Syed Putra Utara, Mid Valley City, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
1, Medan Syed Putra Utara, Mid Valley City, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM1,000,000
|
RM732
|
1,367 sqft
|
|
Selling in North Point (Residences)? Homes here sold for a median of RM1,000,000.
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North Point (Residences)
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Kuala Lumpur Town Centre
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
1, Medan Syed Putra Utara, Mid Valley City, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsNorth Point (Residences) in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions in 2025, with a median price of RM1.00 million and a median price per square foot (PSF) of RM732.
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.
Most transactions involved serviced apartment, though some variety exists in the market.
For price per square foot, the median is RM732, with most transactions between RM732 and RM732. The usual range is RM699.63 to RM764.38, showing that most units are priced quite close to each other. With an IQR of RM64.75 and MAD of RM0, 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.