Total land area and FSI of the projects are 11,507 sft and 46,083 sft, respectively. Unit sizes in the project area range between 190 and 483 sft. Project is 0% complete with % sold area. There are a total of 1 litigations and red flags. Warrants totaling to Rs. lakhs have been issued against the Developer of the project for non-payment of refund / penalty orders passed by the regulatory authority.
Raghav Nova
Residential | Nehru Nagar Kurla East | Mumbai Suburban | Maharashtra
Vaidehi Construction & Developers | P51800030949 | MahaRERA | Active

Key Highlights

Land Area(sft)
11,507
FSI Area(sft)
46,083
Buildings(#)
1
Floors(#)
18
Carpet Area(sft)
39,928
Unit Size(sft)
190 - 483
Units(#)
115
Completion Date
30-Jul-24
Litigations(#)
1

Project Land

Survey no

2 PART AND 640

Address

P V Marg, Nehru Nagar Kurla East, Kurla, Kurla, Mumbai Suburban, Konkan, Maharashtra, 400024

Land area(sft)

11,507

Boundaries

East - Nala

West - Building 137

North - 18 Mtr Wide Dp Road

South - Building 118

Disclaimer: Data Processing and Accuracy

The information provided on this website, including details on real estate projects, developer, landowners, litigations and consumer complaints, is for informational purposes only. We source this information from multiple sources on a best-effort basis.

It's important to note that the data may contain inaccuracies or errors inherent to the source itself. We clean and process the data on a best-effort basis using our proprietary automated algorithms. However, we cannot guarantee the accuracy or completeness of the data. Users are advised to exercise caution and judgment and to verify the information independently by visiting the official government websites / departments before making any decisions based on the information provided here.

Nothing on this website should be construed as legal advice, marketing, offer, invitation, or acquisition. By using this website, users agree to these terms and conditions and acknowledge that they are using the data at their own risk. We do not accept liability for any inaccuracies, errors, or omissions in the data.