GATE 2026: Check statistical report by Sep 25

GATE 2026: Check statistical report by Sep 25

In short

  • IIT Guwahati released the GATE 2026 statistical report on September 25, 2026, accessible on gate2026.iitg.ac.in.
  • A total of 10,11,719 candidates registered for GATE 2026, with 797,434 candidates appearing for the examination.
  • Computer Science and Information Technology (CS) recorded the highest registration with 259,922 candidates and 211,020 test-takers.
  • Metallurgical Engineering (MT) achieved the highest theoretical score of 100 out of 100 in GATE 2026.
  • Qualification rates for major engineering papers ranged between 15% and 20% of appeared candidates.

IIT Guwahati published the statistical report for the Graduate Aptitude Test in Engineering (GATE) 2026 on September 25, 2026. The report, available on gate2026.iitg.ac.in, aims to provide complete transparency for candidates preparing for future GATE examinations.

Official notification screenshot
Screenshot of the official page at gate2026.iitg.ac.in

The GATE 2026 examination saw 10,11,719 candidates register, with 797,434 candidates ultimately appearing for the test. The report details key examination statistics, including candidate registration and qualification numbers, overall qualification rates, and paper-wise cutoffs.

GATE 2026 Candidate Participation and Performance

The IIT Guwahati GATE 2026 statistical report offers a detailed breakdown of candidate participation, qualification percentages, paper-wise difficulty levels, category distribution, and normalization metrics across all test papers. The examination dates for GATE 2026 were February 7, 8, 14, and 15, 2026, with results declared on March 19, 2026.

Computer Science and Information Technology (CS) recorded the highest candidate density, with over 2.59 lakh registrations and 2.11 lakh test-takers. Data Science & Artificial Intelligence (DA) emerged as a top-tier paper in registration with 91,764 applicants. Metallurgical Engineering (MT) achieved the highest theoretical score of 100 out of 100. Qualification rates across major engineering papers ranged between 15% and 20% of appeared candidates.

GATE Score and Admission Implications

The report provides insights into how raw scores translate to GATE scores and their implications for admissions. A raw score of 50 in Computer Science (CS) translates to a GATE score between 560 and 620, while a raw score above 70 in CS yields a GATE score over 770.

For admissions to top National Institutes of Technology (NITs), a General category score of 600 generally provides strong admission options. Required NIT cutoffs drop by 50 to 70 points for Other Backward Classes (OBC) candidates and by 100 to 130 points for Scheduled Caste (SC) and Scheduled Tribe (ST) candidates.

Context of GATE Statistical Reports

The GATE statistical and performance report is a detailed official document released by the respective organizing institute after the completion of the examination cycle. Its main objective is to ensure complete transparency for candidates applying for the Graduate Aptitude Test in Engineering (GATE) in subsequent years. The organizing institute for GATE rotates annually among the Indian Institute of Science (IISc) and the Indian Institutes of Technology (IITs).

For GATE 2025, IIT Roorkee released its statistical performance report on September 17, 2025. IIT Madras is currently conducting GATE 2027. The GATE statistical report serves as a master reference for candidates, academic institutions, and public sector undertakings (PSUs).

Year and GATE Conducting Body GATE Statistical and Performance Report Release Date
2027 – IIT Madras September 25, 2026
2026 – IIT Guwahati Third/Fourth September 2026 (Tentative)
2025 – IIT Roorkee September 17, 2025
2024 – IISc Bengaluru October 2024
Year Total Registered Total Appeared
2025 9,36,019 7,47,319
2024 8,26,239 6,53,292
2023 6,70,000 5,17,000
2022 8,00,000 7,11,542
2021 10,00,000 8,50,000

Further reading


Nishit Kumar
Written by

Nishit Kumar is a senior EdTech industry leader with over a decade of experience in building and scaling education platforms, shaping their product, content, and growth strategy. At FindMyCollege, Nishit oversees content and editorial strategy, guiding topic selection and content frameworks to ensure accuracy, relevance, and student-first value across the website.

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