NEET-PG Exam Analysis — Subject-Wise Weightage from Recent Papers

NBEMS doesn't publish how many questions come from each subject, so we counted. This analysis uses Kinase's reconstructed recalls of NEET-PG 2026, NEET-PG 2025, NEET-PG 2024 (shift 1) — the same papers you can attempt in the app — to show which subjects carry the paper and how much that moves year to year.

Last verified: 30 September 2026 against Kinase recall bank (computed from our question bank) and NBEMS NEET-PG 2026 Information Bulletin (syllabus and pattern).

Quick Answer

Across Kinase's recalls of NEET-PG 2026, NEET-PG 2025, NEET-PG 2024 (shift 1), the biggest subjects were Medicine (~11.2% of questions), Obstetrics & Gynaecology (~9.5%), Surgery (~9%) and Community Medicine (PSM) (~8.7%). Clinical subjects made up about 54.6% of the paper, para-clinical 30.8% and pre-clinical 14.4%. These are recall-based estimates; NBEMS publishes no subject split.

About the data: NEET-PG question papers are not released by NBEMS. These counts come from Kinase's memory-based recalls of each paper, computed from our question bank on 2026-09-30. Each question is tagged to a single subject by our content team. Recalled totals: NEET-PG 2026 180 of 180; NEET-PG 2025 196 of 200; NEET-PG 2024 (shift 1) 199 of 200.

How many questions came from each subject?

SubjectGroupNEET-PG 2026NEET-PG 2025NEET-PG 2024 (shift 1)Average share
AnatomyPre-clinical1111136.1%
PhysiologyPre-clinical5853.1%
BiochemistryPre-clinical711125.2%
PathologyPara-clinical131796.8%
PharmacologyPara-clinical1111105.6%
MicrobiologyPara-clinical201166.6%
Forensic MedicinePara-clinical5583.1%
Community Medicine (PSM)Para-clinical1417198.7%
MedicineClinical23212011.2%
SurgeryClinical1514239%
Obstetrics & GynaecologyClinical1523179.5%
PediatricsClinical1110125.7%
OrthopedicsClinical4672.9%
ENTClinical7783.8%
OphthalmologyClinical6793.8%
AnesthesiaClinical3161.7%
DermatologyClinical5673.1%
RadiologyClinical1411%
PsychiatryClinical4672.9%
Total recalled180196199100%

“Average share” is the subject's share of each paper, averaged across the three papers with each paper weighted equally, so the 180-question paper and the older 200-question papers count the same.

Which subjects carry the paper?

Five subjects — Medicine, Obstetrics & Gynaecology, Surgery, Community Medicine (PSM), Pathology — account for roughly 45% of the questions between them. The order shifts from paper to paper — the averages below smooth that out, so use them as a guide, not a guarantee.

14.4%

Pre-clinical (average share)

30.8%

Para-clinical (average share)

54.6%

Clinical (average share)

How much does weightage change from year to year?

More than most weightage charts suggest. Some swings in our recalls:

  • Microbiology: 20 in NEET-PG 2026, 11 in NEET-PG 2025, 6 in NEET-PG 2024 (shift 1).
  • Surgery: 15 in NEET-PG 2026, 14 in NEET-PG 2025, 23 in NEET-PG 2024 (shift 1).
  • Pathology: 13 in NEET-PG 2026, 17 in NEET-PG 2025, 9 in NEET-PG 2024 (shift 1).
  • Obstetrics & Gynaecology: 15 in NEET-PG 2026, 23 in NEET-PG 2025, 17 in NEET-PG 2024 (shift 1).

A subject can double or halve between papers, so a single year's count is a weak guide. Plan from the multi-year average, and keep enough coverage in every subject to absorb a swing.

How should I use this analysis to plan revision?

  • Order, don't cut. Start and finish revision with the top five subjects, but give every subject at least one full pass.
  • Mix subjects in practice. The paper has 5 sections of 36 questions, 42 minutes each, and every section mixes subjects. Practise mixed 36-question sets, not only subject-wise blocks.
  • Protect accuracy. With +4 / −1 marking and fewer wrong answers as the first tie-breaker, a small subject answered accurately is worth more than a big subject answered by guesswork. See the tie-break rules.
  • Use the recalls themselves. The papers analysed here are available as full tests in Kinase, and each subject's previous-year questions are on its PYQ page.

What does NBEMS say about the syllabus?

The NEET-PG 2026 bulletin (para 5.2) says the syllabus comprises the subjects and knowledge areas of the MBBS curriculum issued by the National Medical Commission (earlier the Medical Council of India), and para 5.6 says questions from these subjects are distributed across the five 36-question sections. It gives no subject-wise number of questions. For the subject list and topics, see the NEET-PG syllabus page.

Frequently Asked Questions

Which subject has the highest weightage in NEET-PG?▼
In Kinase's recalls of NEET-PG 2026, NEET-PG 2025, NEET-PG 2024 (shift 1), Medicine carried the largest share (about 11.2% of questions on average), followed by Obstetrics & Gynaecology (9.5%) and Surgery (9%). NBEMS itself publishes no subject-wise split.
Does NBEMS publish subject-wise weightage for NEET-PG?▼
No. The information bulletin says only that the syllabus is the MBBS curriculum of the NMC and that questions from its subjects are spread across the five sections. Any subject-wise figure, including ours, comes from reconstructing papers from candidates' recalls.
How many questions come from each subject in NEET-PG?▼
It varies every year. In our recall of NEET-PG 2026 (180 of 180 questions), the counts ranged from 23 for the largest subject down to 1 for the smallest. The full table on this page gives every subject for three papers.
How accurate is a recall-based analysis?▼
It is a close estimate, not an official count. Recalls are memory-based, a few questions from a paper may be missing, and each question is tagged to one subject by our content team even when it spans two. Treat differences of one or two questions as noise.
Should I skip low-weightage subjects?▼
No. Even the smallest subjects add up: Psychiatry, Anesthesia, Radiology together still averaged about 5.6% of the paper, and with +4 / −1 marking each question counts. Use weightage to order your revision, not to drop subjects.
Is the analysis different for the 180-question pattern?▼
NEET-PG 2026 was the first paper with 180 questions instead of 200. To compare fairly we use each subject's share of its paper, not raw counts, and weight every paper equally.
From Kinase's own recall bank
Computed 2026-09-30
Method explained below

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