| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 30
|
RM700,000
|
RM608
|
1,152 sqft
|
|
|
|
Level 29
|
RM970,000
|
RM842
|
1,152 sqft
|
|
|
Level 24
|
RM670,000
|
RM426
|
1,572 sqft
|
|
Posts about Duta Mega Apt
No posts about Duta Mega Apt yet. Be the first to share what’s happening here.
Nearby areas in Pulai
Taman Bukit Indah
Horizon Hill
Taman Universiti
Taman Ungku Tun Aminah
Taman Mutiara Rini
Taman Pulai Mutiara 2
Taman Perling
Taman Pulai Mutiara
Bandar Selesa Jaya
Taman Skudai Baru
Taman Tampoi Indah
Laman Setia
Duta Mega Apt
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 Pulai
Promote your property to visitors of this page
Persiaran Mega, 81550 Gelang Patah, Johor Darul Ta'zim, Malaysia
MapsDuta Mega Apt in Johor Bahru, Johor recorded 3 subsale transactions in 2023, with a median price of RM700K and a median price per square foot (PSF) of RM608.
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 RM700K, with most transactions falling within a stable range of RM670K to RM835K, and a typical market range of RM670K to RM896K.
Most transactions involved serviced apartment, with minimal variety in property types.
Price per square foot shows a median of RM608, though individual units vary from RM438 to RM778 in the core range. The broader market spans RM530.03 to RM685.53, indicating diverse property characteristics. A wider spread (IQR: RM155.50) and deviation (MAD: RM170) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.