{ "distribution": { "bytes": 698873, "contentUrl": "/data/neet_mcc_2026_round1_cutoffs.csv", "encodingFormat": "text/csv", "sha256": "dedd36132040de19438b9f715e7603ea9dd609d12bd406a26a568f88fb9e6b07" }, "fields": [ "allotted_institute", "source_course", "course", "source_quota", "cutoff_sub_category", "source_allotted_category", "cutoff_category", "cutoff_start", "cutoff_end", "allotment_count", "source_pages" ], "identityFields": [ "allotted_institute", "source_course", "source_quota", "source_allotted_category" ], "limitations": [ "Final MCC 2026 Round 1 only; not the provisional Round 2 file, independent state counselling, every NEET route or a complete 2026 counselling outcome.", "Allotment records are not confirmed admissions, unique applicants, seat capacity, live vacancies or admission probabilities. Reporting, verification, eligibility and later rounds can change outcomes.", "Open is the allotted seat category, not a restriction to General-category candidates. AIR is not a JoSAA-style category-rank lane.", "Exact printed institute labels are not verified Admission Guardian entity IDs. Cross-year address/name differences are not automatically merged, and this release does not update predictor cutoffs or certify accuracy.", "CW, NRI, domicile, institutional, minority and other priority or eligibility rules are not fully represented by aggregate dimensions. The simple two-quota example excludes CW/NRI lanes.", "Quota comparison cohorts contain different institutions and conditions. Medians are descriptive, not universal target ranks or causal effects. The previous 2025 and exploratory 2019-2025 files remain separate." ], "mbbs": { "allotmentRecordCount": 25635, "differentClosingRankLabelCount": 483, "differentClosingRankPercent": 93.7864077669903, "multipleProfileLabelCount": 483, "multipleProfilePercent": 93.7864077669903, "multipleQuotaLabelCount": 61, "openQuotaComparison": [ { "allotmentRecordCount": 3547, "maxClosingAir": 22342, "medianClosingAir": 11405, "minClosingAir": 124, "profileCount": 427, "quota": "All India", "sourceInstituteLabelCount": 427 }, { "allotmentRecordCount": 1100, "maxClosingAir": 4310, "medianClosingAir": 1705, "minClosingAir": 52, "profileCount": 25, "quota": "Open Seat Quota", "sourceInstituteLabelCount": 25 }, { "allotmentRecordCount": 11627, "maxClosingAir": 1194233, "medianClosingAir": 501263, "minClosingAir": 42815, "profileCount": 63, "quota": "Self-Financed Merit Seat", "sourceInstituteLabelCount": 63 } ], "profileCount": 3009, "sourceInstituteLabelCount": 515 }, "methodology": [ "Pin the official final 2026 Round 1 PDF hash and 1,272-page count. Extract all data pages with the existing MCC table parser; require serials 1-29,946 exactly once and non-decreasing positive AIR.", "Validate source course, allotted quota, allotted category and actual allotment status. Keep allotted category separate from candidate category.", "Aggregate exact printed institute label, course, allotted quota and allotted category; opening/closing AIR are the minimum/maximum source ranks. Preserve source pages and fractional AIR if present.", "Keep Self-Financed Merit Seat as its own source and normalized quota label. Do not recode it as the 2025 Deemed/Paid Seats Quota or infer identical eligibility across years.", "For MBBS, count exact labels with multiple profiles, distinct closing AIRs and multiple quotas independently. Compare unweighted profile-closing-AIR medians only within the named Open allotted-category cohorts.", "Use the exact Maulana Azad source label for the two-quota example. Do not fuzzy-match institutions or join production college IDs. Publish only the existing eleven aggregate fields." ], "name": "MCC NEET UG 2026 Round 1: Source-Derived Cutoff Profiles", "preparedAt": "2026-09-10", "recordUnit": "Exact source institute-label/course/allotted-quota/allotted-category profile, not one college or one admitted student.", "releaseVersion": "1.0.0", "reproducer": { "command": "python archive/seo-research-2026-08/official-sources/prepare_mcc_2026_round1.py --pdf --output-dir --workers 2", "dependencyVersions": { "pdfplumber": "0.11.9", "pypdf": "6.10.0" }, "pythonVersion": "3.12.14", "requirementsPath": "archive/seo-research-2026-08/official-sources/mcc_research_requirements.txt", "script": "archive/seo-research-2026-08/official-sources/prepare_mcc_2026_round1.py", "sourceAvailability": "Original PDF linked at source.url; its hash-verified copy is retained locally. No production credentials are required." }, "sameInstitutionExample": { "allottedCategory": "Open", "course": "MBBS", "profiles": [ { "allotmentRecordCount": 14, "closingAir": 129, "openingAir": 60, "quota": "All India", "sourcePages": [ 4, 5, 6 ] }, { "allotmentRecordCount": 94, "closingAir": 2662, "openingAir": 130, "quota": "Delhi University Quota", "sourcePages": [ 6, 7, 8, 9, 10, 11, 12, 14, 16, 18, 20, 23, 24, 29, 30, 31, 32, 36, 37, 38, 39, 41, 42, 44, 45, 46, 48, 49, 50, 51, 53, 54, 56, 58, 60, 61, 64, 65, 66, 69, 70, 71, 72, 73, 74, 77, 78, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91 ] } ], "sourceInstituteLabel": "Maulana Azad Medical College, New Delhi,2 Bahadur Shah Zafar Marg New Delhi" }, "schemaVersion": 1, "scope": { "allotmentRecordCount": 29946, "courses": [ { "allotmentRecordCount": 344, "course": "B.Sc. Nursing", "profileCount": 46, "sourceInstituteLabelCount": 7 }, { "allotmentRecordCount": 3967, "course": "BDS", "profileCount": 313, "sourceInstituteLabelCount": 84 }, { "allotmentRecordCount": 25635, "course": "MBBS", "profileCount": 3009, "sourceInstituteLabelCount": 515 } ], "profileCount": 3368, "round": 1, "sourceInstituteLabelCount": 606, "year": 2026 }, "source": { "authority": "Medical Counselling Committee (MCC)", "bytes": 4592896, "documentDate": "2026-08-24", "listingUrl": "https://mcc.nic.in/current-events-ug/", "pageCount": 1272, "sha256": "946f8102b582479151b82a72c469523f8c9ce13922378b6ba3402bedb5d1d9d5", "title": "Final Allotment Result for Round 1 of UG Counselling 2026", "url": "https://cdnbbsr.s3waas.gov.in/s3e0f7a4d0ef9b84b83b693bbf3feb8e6e/uploads/2026/08/20260824606525705.pdf" }, "validation": { "duplicateProfileCount": 0, "extractionIssueCount": 0, "fractionalRankProfileCount": 0, "serialEnd": 29946, "serialStart": 1, "sourceQuotaRecordCounts": { "(AMU) Self finance All India": 5, "(AMU)Self finance internal": 5, "Aligarh Muslim University (AMU) Quota": 90, "All India": 9665, "B.Sc Nursing All India": 240, "B.Sc Nursing Delhi NCR": 38, "B.Sc Nursing Delhi NCR CW Quota": 7, "B.Sc Nursing IP CW Quota": 2, "Delhi NCR Children/Widows of Personnel of the Armed Forces (CW) DU Quota": 28, "Delhi NCR Children/Widows of Personnel of the Armed Forces (CW) IP Quota": 11, "Delhi University Quota": 548, "Employees State Insurance Scheme Nursing Quota (ESI- IP Quota Nursing)": 57, "Employees State Insurance Scheme(ESI)": 701, "Foreign Country Quota": 7, "IP University Quota": 301, "Internal -Puducherry UT Domicile": 55, "Jain Minority Quota": 108, "Jamia Internal Quota": 3, "Muslim Minority Quota": 170, "Muslim OBC Quota": 4, "Muslim Quota": 15, "Muslim ST Quota": 1, "Muslim Women Quota": 5, "Non-Resident Indian": 268, "Non-Resident Indian(AMU)Quota": 7, "Open Seat Quota": 2850, "Self-Financed Merit Seat": 14755 }, "sourceRemarkRecordCounts": { "Allotted": 29623, "Allotted( CW Rank : 1 )": 1, "Allotted( CW Rank : 10 )": 1, "Allotted( CW Rank : 11 )": 1, "Allotted( CW Rank : 12 )": 1, "Allotted( CW Rank : 127 )": 1, "Allotted( CW Rank : 13 )": 1, "Allotted( CW Rank : 133 )": 1, "Allotted( CW Rank : 14 )": 1, "Allotted( CW Rank : 15 )": 1, "Allotted( CW Rank : 154 )": 1, "Allotted( CW Rank : 157 )": 1, "Allotted( CW Rank : 16 )": 1, "Allotted( CW Rank : 163 )": 1, "Allotted( CW Rank : 168 )": 1, "Allotted( CW Rank : 17 )": 1, "Allotted( CW Rank : 170 )": 1, "Allotted( CW Rank : 172 )": 1, "Allotted( CW Rank : 175 )": 1, "Allotted( CW Rank : 177 )": 1, "Allotted( CW Rank : 18 )": 1, "Allotted( CW Rank : 19 )": 1, "Allotted( CW Rank : 2 )": 1, "Allotted( CW Rank : 20 )": 1, "Allotted( CW Rank : 21 )": 1, "Allotted( CW Rank : 213 )": 1, "Allotted( CW Rank : 22 )": 1, "Allotted( CW Rank : 25 )": 1, "Allotted( CW Rank : 27 )": 1, "Allotted( CW Rank : 29 )": 1, "Allotted( CW Rank : 3 )": 1, "Allotted( CW Rank : 31 )": 1, "Allotted( CW Rank : 314 )": 1, "Allotted( CW Rank : 34 )": 1, "Allotted( CW Rank : 36 )": 1, "Allotted( CW Rank : 37 )": 1, "Allotted( CW Rank : 38 )": 1, "Allotted( CW Rank : 39 )": 1, "Allotted( CW Rank : 4 )": 1, "Allotted( CW Rank : 41 )": 1, "Allotted( CW Rank : 5 )": 1, "Allotted( CW Rank : 57 )": 1, "Allotted( CW Rank : 58 )": 1, "Allotted( CW Rank : 6 )": 1, "Allotted( CW Rank : 64 )": 1, "Allotted( CW Rank : 7 )": 1, "Allotted( CW Rank : 8 )": 1, "Allotted( CW Rank : 9 )": 1, "Allotted( CW Rank : 99 )": 1, "Allotted( NRI Priority : 1 )": 275 } } }