JEE Advanced 2026 Zone-wise Performance – IIT Zone-wise Analysis: IIT Roorkee has released the JEE Advanced zone wise performance 2026 on the official website. Candidates can check the JEE Advanced 2026 zone wise analysis on this page. A total of 1,87,389 candidates were eligible and registered for the examination, of whom 56,880 candidates qualified and 18,861 candidates were allotted seats. Among the seven zones, IIT Madras recorded the highest number of eligible registered candidates (45,753) and qualified candidates (14,294), while IIT Bombay recorded 39,616 registered and 12,389 qualified candidates. IIT Madras also had the highest number of allotted candidates at 4,796, followed by IIT Bombay with 4,227 and IIT Delhi with 3,960.
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The analysis also includes zone-wise AAT 2026 candidate data, the distribution of candidates among the top 500 ranks, female toppers and the top five candidates from each IIT zone. Check the tables below for a detailed zone-wise overview of JEE Advanced 2026.
The authority has released the JEE Advanced zone wise analysis 2026 on the official website. Candidates can check the JEE Advanced 2026 zone wise performance in the table below.
JEE Advanced 2026 Zone wise and Category wise Distribution of Eligible Registered Candidates
Zone | GEN | OBC | EwS | SC | ST | Total |
IIT Bombay | 11,148 | 13,756 | 5,673 | 6,472 | 2,567 | 39,616 |
8,346 | 12,135 | 4,792 | 4,401 | 2,334 | 32,008 | |
1,301 | 5,801 | 2,461 | 1,670 | 1,331 | 12,564 | |
3,589 | 8,339 | 4,208 | 3,831 | 861 | 20,828 | |
4,708 | 7,082 | 1,755 | 3,618 | 1,794 | 18,957 | |
IIT Madras | 5,571 | 19,204 | 7,776 | 7,485 | 5,717 | 45,753 |
5,390 | 4,115 | 3,490 | 4,136 | 532 | 17,663 | |
Total | 40,053 | 70,432 | 30,155 | 31,613 | 15,136 | 187,389 |
The qualification data highlights how candidates from different categories performed across each IIT zone after the JEE Advanced 2026 examination.
Zone | GEN | OBC | EwS | SC | ST | Total |
IIT Bombay | 4,733 | 2,325 | 1,234 | 3,164 | 933 | 12,389 |
IIT Delhi | 3,466 | 2,570 | 1,047 | 2,421 | 1,193 | 10,697 |
IIT Guwahati | 403 | 835 | 366 | 801 | 478 | 2,883 |
IIT Kanpur | 1,342 | 1,256 | 713 | 1,929 | 312 | 5,552 |
IIT Bhubaneswar | 1,508 | 1,218 | 309 | 1,825 | 568 | 5,428 |
IIT Madras | 2,441 | 3,504 | 1,963 | 3,720 | 2,666 | 14,294 |
IIT Roorkee | 1,990 | 677 | 745 | 1,996 | 229 | 5,637 |
Total | 15,883 | 12,385 | 6,377 | 15,856 | 6,379 | 56,880 |
The allotment figures show the number of candidates who secured seats across different categories and IIT zones in the admission process.
Zone | GEN | OBC | EwS | SC | ST | Total |
IIT Bombay | 2,088 | 948 | 418 | 600 | 173 | 4,227 |
IIT Delhi | 1,607 | 1,159 | 398 | 467 | 329 | 3,960 |
IIT Guwahati | 170 | 327 | 100 | 120 | 79 | 796 |
IIT Kanpur | 629 | 499 | 206 | 311 | 45 | 1,690 |
IIT Bhubaneswar | 634 | 477 | 112 | 334 | 75 | 1,632 |
IIT Madras | 1,167 | 1,557 | 726 | 677 | 669 | 4,796 |
IIT Roorkee | 907 | 263 | 237 | 315 | 38 | 1,760 |
Total | 7,202 | 5,230 | 2,197 | 2,824 | 1,408 | 18,861 |
The gender-wise registration data gives an overview of male, female and third-gender participation across the seven zones.
Zone | Male | Female | Third Gender | Total |
IIT Bombay | 30,208 | 9,407 | 1 | 39,616 |
IIT Delhi | 25,776 | 6,232 | 0 | 32,008 |
IIT Guwahati | 10,402 | 2,162 | 0 | 12,564 |
IIT Kanpur | 17,148 | 3,680 | 0 | 20,828 |
IIT Bhubaneswar | 14,849 | 4,108 | 0 | 18,957 |
IIT Madras | 31,574 | 14,179 | 0 | 45,753 |
IIT Roorkee | 14,319 | 3,344 | 0 | 17,663 |
Total | 144,276 | 43,112 | 1 | 187,389 |
The qualified candidate data provides a gender-wise view of candidates who cleared JEE Advanced 2026 in each IIT zone.
Zone | Male | Female | Third Gender | Total |
IIT Bombay | 10,205 | 2,184 | 0 | 12,389 |
IIT Delhi | 9,069 | 1,628 | 0 | 10,697 |
IIT Guwahati | 2,519 | 364 | 0 | 2,883 |
IIT Kanpur | 4,820 | 732 | 0 | 5,552 |
IIT Bhubaneswar | 4,500 | 928 | 0 | 5,428 |
IIT Madras | 10,831 | 3,463 | 0 | 14,294 |
IIT Roorkee | 4,829 | 808 | 0 | 5,637 |
Total | 46,773 | 10,107 | 0 | 56,880 |
The allotment data further shows the gender-wise distribution of candidates who secured seats through the admission process.
Zone | Male | Female | Third Gender | Total |
IIT Bombay | 3,443 | 784 | 0 | 4,227 |
IIT Delhi | 3,203 | 757 | 0 | 3,960 |
IIT Guwahati | 690 | 106 | 0 | 796 |
IIT Kanpur | 1,412 | 278 | 0 | 1,690 |
IIT Bhubaneswar | 1,296 | 336 | 0 | 1,632 |
IIT Madras | 3,536 | 1,260 | 0 | 4,796 |
IIT Roorkee | 1,467 | 293 | 0 | 1,760 |
Total | 15,047 | 3,814 | 0 | 18,861 |
The nationality-wise data shows the participation of Indian, foreign and OCI/PIO candidates across the different IIT zones.
Zone | Indian | OCI/PIO (I) | Foreign | OCI/PIO (F) | Total |
IIT Bombay | 39,296 | 167 | 12 | 141 | 39,616 |
IIT Delhi | 31,934 | 23 | 29 | 22 | 32,008 |
IIT Guwahati | 12,531 | 0 | 31 | 2 | 12,564 |
IIT Kanpur | 20,808 | 3 | 10 | 7 | 20,828 |
IIT Bhubaneswar | 18,914 | 18 | 5 | 20 | 18,957 |
IIT Madras | 45,490 | 113 | 17 | 133 | 45,753 |
IIT Roorkee | 17,599 | 8 | 43 | 13 | 17,663 |
Total | 186,572 | 332 | 147 | 338 | 187,389 |
Among the candidates who qualified, the data provides a zone-wise breakdown based on their nationality category.
Zone | Indian | OCI/PIO (I) | Foreign | OCI/PIO (F) | Total |
IIT Bombay | 12,263 | 114 | 0 | 12 | 12,389 |
IIT Delhi | 10,673 | 20 | 4 | 0 | 10,697 |
IIT Guwahati | 2,882 | 0 | 1 | 0 | 2,883 |
IIT Kanpur | 5,549 | 2 | 1 | 0 | 5,552 |
IIT Bhubaneswar | 5,418 | 8 | 0 | 2 | 5,428 |
IIT Madras | 14,210 | 70 | 2 | 12 | 14,294 |
IIT Roorkee | 5,630 | 3 | 2 | 2 | 5,637 |
Total | 56,625 | 217 | 10 | 28 | 56,880 |
The final allotment figures provide an overview of the nationality-wise composition of candidates who secured IIT seats.
Zone | Indian | OCI/PIO (I) | Foreign | OCI/PIO (F) | Total |
IIT Bombay | 4,177 | 47 | 0 | 3 | 4,227 |
IIT Delhi | 3,944 | 14 | 2 | 0 | 3,960 |
IIT Guwahati | 796 | 0 | 0 | 0 | 796 |
IIT Kanpur | 1,688 | 2 | 0 | 0 | 1,690 |
IIT Bhubaneswar | 1,628 | 3 | 0 | 1 | 1,632 |
IIT Madras | 4,744 | 45 | 1 | 6 | 4,796 |
IIT Roorkee | 1,755 | 3 | 0 | 2 | 1,760 |
Total | 18,732 | 114 | 3 | 12 | 18,861 |
The AAT 2026 data gives a zone-wise picture of candidates who registered for, appeared in and qualified for the Architecture Aptitude Test.
Zone | Registered | Appeared | Qualified |
IIT Bombay | 192 | 38 | 38 |
IIT Delhi | 286 | 91 | 90 |
IIT Guwahati | 51 | 18 | 18 |
IIT Kanpur | 136 | 48 | 48 |
IIT Bhubaneswar | 85 | 24 | 24 |
IIT Madras | 248 | 62 | 61 |
IIT Roorkee | 100 | 29 | 27 |
Total | 1,098 | 310 | 306 |
The top 500 analysis highlights the concentration of high-ranking candidates across the seven IIT zones, including the number securing positions within the top 10, 100, 200, 300, 400 and 500.
Zone | Topper | CRL | Top 10 | Top 100 | Top 200 | Top 300 | Top 400 | Top 500 | Total Qualified |
IIT Bombay | B Jayakrishna Srinivas | 6 | 2 | 23 | 47 | 68 | 92 | 120 | 12,389 |
IIT Delhi | Shubham Kumar | 1 | 5 | 29 | 48 | 68 | 91 | 114 | 10,697 |
IIT Guwahati | Yashraj Singh | 122 | 0 | 0 | 1 | 1 | 5 | 7 | 2,883 |
IIT Kanpur | Riddhesh Anant Bendale | 18 | 0 | 3 | 6 | 10 | 12 | 16 | 5,552 |
IIT Bhubaneswar | Bhavesh Patra | 29 | 0 | 1 | 5 | 14 | 18 | 23 | 5,428 |
IIT Madras | Mohit Shekher Shukla | 4 | 3 | 35 | 73 | 109 | 146 | 174 | 14,294 |
IIT Roorkee | Nikunj Agrawal | 11 | 0 | 9 | 20 | 30 | 36 | 46 | 5,637 |
Total | — | — | 10 | 100 | 200 | 300 | 400 | 500 | 56,880 |
This section highlights the highest-ranked female candidate from each IIT zone, along with her roll number and Common Rank List (CRL) rank.
Zone | JEE (Advanced) Roll Number | Name | CRL |
IIT BOMBAY | 261004017 | Sanvi Patidar | 158 |
IIT DELHI | 262077299 | Arohi Deshpande | 77 |
IIT GUwAHATI | 263003575 | Agrima Singh | 1857 |
IIT KANPUR | 264013088 | Anushka Agrawal | 856 |
IIT BHUBANESwAR | 265014270 | Reddi Sai Sahithi | 230 |
IIT MADRAS | 266060531 | Korukonda Sravya | 111 |
IIT ROORKEE | 267020216 | Aashi | 781 |
The zone-wise ranking provides the top five JEE Advanced 2026 candidates from each IIT zone and their respective CRL ranks.
Candidates Name | CRL |
B Jayakrishna Srinivas | 6 |
Kanishk Jain | 8 |
Aryan Ragupathy | 12 |
Manu Parameshwaran | 13 |
Aditya Pavankumar Thakur | 22 |
Name | CRL |
Shubham Kumar | 1 |
Kabeer Chhillar | 2 |
Jatin Chahar | 3 |
Arnav Gautam | 7 |
Darsh Sikka | 10 |
Name | CRL |
Yashraj Singh | 122 |
Akarsh Naman | 309 |
Niket Anand | 319 |
Arnav Raj | 329 |
Ayushman Vatsa | 333 |
Candidates Name | CRL |
Riddhesh Anant Bendale | 18 |
Parth Maheshwary | 55 |
Anvesh Patel | 68 |
Arsh Jain | 131 |
Aarav Soni | 155 |
Candidates Name | CRL |
Bhavesh Patra | 29 |
Allu Rohith | 102 |
Ipshit Paul | 104 |
Abir Goswami | 148 |
Krishnavardhan Agarwal | 196 |
Candidates Name | CRL |
Mohit Shekher Shukla | 4 |
Kuchi Sandeep | 5 |
Medisetti Naga Saharsha | 9 |
Veldurthi Harshith | 15 |
Aarav Gupta | 17 |
Candidates Name | CRL |
Nikunj Agrawal | 11 |
Yajat Shinghal | 21 |
Abhipraya Verma | 27 |
Amrit Raj | 30 |
Arnav Gandhi | 36 |
On Question asked by student community
Check the list of the most important chapters for JEE advance from here:
https://engineering.careers360.com/articles/jee-advanced-syllabus-weightage
JEE Main and JEE Advanced are both national-level engineering entrance examinations, but they serve different purposes.
JEE Main is conducted for admission to NITs, IIITs and other participating engineering institutes. It is also the qualifying examination for appearing in JEE Advanced.
JEE Advanced is conducted for admission to the IITs
Start your JEE preparation from Class 11 itself by building strong concepts in Physics, Chemistry and Mathematics. Follow your Class 11 syllabus systematically and avoid studying only for board examinations.
A good approach is:
Complete each chapter conceptually and solve basic questions first.
Gradually move to JEE-level problems.
Practise previous-year
After qualifying JEE Advanced and getting an IIT, there is no single course that is best for everyone. Your choice should depend on interest, rank, career goals and the branch available to you.
Generally:
CSE/AI/Data Science – good for software, AI, data and technology careers.
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Hello Student, I can definitely help you create a balanced plan, but I would not recommend preparing JEE , NEET , KCET , MHT-CET and school exams as five completely separate syllabi. Your Class 11 NCERT/board concepts should become the common base, with JEE-level Maths/Physics and NEET-level Biology/Chemistry added according
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