JEE Main 2025 is India's premier engineering entrance examination conducted by the National Testing Agency (NTA). This comprehensive statistics page presents data on registration trends, cutoff scores, seat allocation across NITs and IITs, category-wise reservations, and performance metrics. Analyze normalization procedures, admission patterns, and merit-based qualification criteria that determine access to India's top engineering institutions.
JEE Main Registration & Appearance Trends (2021-2025)
| Year | Total Registered Candidates | Total Appeared Candidates | Appearance Rate (%) | Sessions Conducted |
|---|---|---|---|---|
| 2021 | 9,21,261 | 7,32,894 | 79.5% | 4 |
| 2022 | 16,14,roberto | 12,36,574 | 76.6% | 4 |
| 2023 | 17,34,256 | 13,08,965 | 75.5% | 2 |
| 2024 | 19,37,838 | 14,73,522 | 76.1% | 2 |
| 2025 (Till February) | 19,68,945 | 15,12,428 | 76.8% | 2 |
JEE Advanced Qualification Cutoff – NTA Percentile by Category (2024 Reference)
| Category | Minimum NTA Percentile Required | Approx. Qualifying Candidates | Eligibility Criteria |
|---|---|---|---|
| General (UR) | 93.5 percentile | 2,50,000 | Top 250,000 rankers |
| OBC-NCL | 93.5 percentile | 65,000 | Included in top 250,000 |
| SC | 93.5 percentile | 37,500 | Included in top 250,000 |
| ST | 93.5 percentile | 37,500 | Included in top 250,000 |
| EWS | 93.5 percentile | 25,000 | Included in top 250,000 |
| PWD (All Categories) | As per category norms | 5,000 | No additional cutoff relaxation |
NTA Percentile Calculation & Score Normalization: Session 1 vs Session 2
Understanding JEE Main Percentile Normalization
Why Normalization is Needed: JEE Main is conducted across multiple sessions over several months. To ensure fairness across different difficulty levels of question papers, NTA uses percentile-based scoring rather than raw marks. This prevents candidates from one session gaining unfair advantage over another.
Percentile Formula:
Percentile = (Number of candidates with raw score ≤ your score / Total candidates appeared in that session) × 100
Worked Example: Score Normalization Across Sessions
| Parameter | Session 1 (January 2025) | Session 2 (April 2025) |
|---|---|---|
| Total Candidates Appeared | 7,56,214 | 7,56,214 (assumed equal) |
| Total Questions | 90 (30 Physics + 30 Chemistry + 30 Maths) | 90 (same pattern) |
| Maximum Raw Marks | 300 | 300 |
| Example Candidate Raw Score | 195/300 | 185/300 |
| Candidates Scoring ≤195 in Session 1 | 5,12,345 (67.76%) | — |
| Candidates Scoring ≤185 in Session 2 | — | 6,03,371 (79.71%) |
| NTA Percentile Awarded | 32.24 percentile (100 - 67.76) | 20.29 percentile (100 - 79.71) |
Key Insight: Despite a lower raw score (185 vs 195), the Session 2 candidate receives a lower percentile because the Session 2 paper was relatively easier, causing score distribution to shift upward. The candidate who scored 195 performed better relative to their peer group.
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