Novo Ampang
315, Jln Ampang, Desa Pahlawan, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
315, Jln Ampang, Desa Pahlawan, 55000 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 11
|
RM 1,053,000
|
RM 1,529
|
689 sqft
|
|
|
|
Level 26
|
RM 1,078,000
|
RM 1,565
|
689 sqft
|
|
|
|
Level 27
|
RM 1,085,000
|
RM 1,575
|
689 sqft
|
|
|
|
Level 28
|
RM 1,085,000
|
RM 1,575
|
689 sqft
|
|
|
Level 25
|
RM 1,556,000
|
RM 1,571
|
990 sqft
|
|
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
315, Jln Ampang, Desa Pahlawan, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsNovo Ampang in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2022, with a median price of RM 1.09 million and a median price per square foot (PSF) of RM 1,571.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.09 million, with most transactions falling within a stable range of RM 1.05 million to RM 1.28 million, and a typical market range of RM 1.05 million to RM 1.13 million.
Most transactions involved serviced apartment, with minimal variety in property types.
For price per square foot, the median is RM 1,571, with most transactions between RM 1,554 and RM 1,589. The usual range is RM 1,515.52 to RM 1,627.02, showing that most units are priced quite close to each other. With an IQR of RM 111.50 and MAD of RM 18, 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.