NEET UG Student Database 2025
₹175,000.00 Original price was: ₹175,000.00.₹85,000.00Current price is: ₹85,000.00.
🧬 NEET UG Student Database 2025
Access to 17.8+ lakh verified NEET UG 2025 aspirants from across India. Ideal for coaching institutes, career counselors, test prep platforms, and education marketers. This premium database is organized state-wise, making your outreach efficient and targeted.
📊 Data Includes: Name, Contact Number, Rank, Score, Roll No, DOB, Email, Father’s Name, Mother’s Name, District, State, Pincode,State
🌟 How to Get Your File After Payment 🌟
💾 Method 1: Database will download automatically right after payment. ⚡
📧 Method 2: You’ll also receive the same file on your email (check spam/promotions). 💌
💬 Method 3: Share your payment screenshot on WhatsApp (given below) to get your file instantly. 📱
👤 Method 4: You can also download it anytime from your account section on our website. 🔐
✅ Simple • Fast • Secure 🚀
📌 What is the NEET UG Student Database 2025?
The NEET UG Student Database 2025 is a comprehensive list of all candidates who appeared for the NEET UG 2025 examination. It is not just a collection of random numbers – this dataset is professionally organized with authentic student details that can be used for educational, research, and analytical purposes.
This dataset includes over 22 lakh entries covering candidates from all states and regions of India. The fields are accurate, verified, and structured to provide maximum usability:
✅ Name of Candidate
✅ Roll Number
✅ NEET UG 2025 Rank
✅ NEET UG 2025 Score
✅ Date of Birth (DOB)
✅ Father’s Name & Mother’s Name
✅ Contact Number (Mobile)
✅ Email Address 📧
✅ Residential Address (District, State, Pincode)
I bihar database I received only 50k data. Pls provide more data
Very useful for targeted marketing. Delivery fast thi aur format clear tha.
Great product ❤️ My coaching batch filled faster because of this database.
Data is okay. 70-75% working but not 95% like claimed. Still useful
Not very happy. Many numbers not connecting. Maybe state-wise filtering could be better.
