Zehn Bukit Pantai
Jalan 10, Bangsar, 59100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jalan 10, Bangsar, 59100 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
|
RM 1,690,000
|
RM 623
|
2,713 sqft
|
|
|
Level 6
|
RM 2,000,000
|
RM 596
|
3,358 sqft
|
|
Posts about Zehn Bukit Pantai
No posts about Zehn Bukit Pantai yet. Be the first to share what’s happening here.
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
Market Snapshot
ResidentialRM 1,845,000
RM 609 psfMedian transaction price
Zehn Bukit Pantai, Jalan 10, Bangsar, 59100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsZehn Bukit Pantai in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, with a median price of RM 1.85 million and a median price per square foot (PSF) of RM 609.
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 1.85 million, with most transactions falling within a stable range of RM 1.69 million to RM 2.00 million, and a typical market range of RM 1.69 million to RM 2.00 million.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 609, with most transactions between RM 596 and RM 623. The usual range is RM 575.29 to RM 643.29, showing that most units are priced quite close to each other. With an IQR of RM 68.00 and MAD of RM 14, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.