GRIDINT RESEARCH · DATA HUB

Aviation safety.

Every aviation accident investigation the NTSB has opened since 2000 — 30,968 events, each carrying its year, injury class, state, aircraft make, fatality count, and the docket number that opens the investigation itself. Maintained by the National Transportation Safety Board; this catalog holds what the board publishes, updated by dated edition. Completeness here means as-held: what the record has, nothing it does not.

published 2026-08-27 · data cutoff 2026-08-26 · edition 1 — updated only by a new dated edition

THE REPORTThe Fatal MarginRead it →

Eighteen years of investigations, classed.

5001,0001,500INVESTIGATIONS PER YEAR · STACKED BY HIGHEST INJURY20082009201020112012201320142015201620172018201920202021202220232024202520265001,0001,500INVESTIGATIONS PER YEAR · STACKED BY HIGHEST INJURY2008200920102011201220132014201520162017201820192020202120222023202420252026
Investigations per year, stacked by highest injury classOne column per year; segments are the worst outcome recorded in each event — green none, cyan minor, amber serious, coral fatal, gray unknown. Tap or hover any segment for its exact count and share of the year.source NTSB aviation accident database (avall.mdb) · weekly bulk · every event carries its NTSB id — method class = highest injury recorded per event — the worst outcome, not a casualty countRead the report →

Plot it on any two axes.

The shape of the records.

Records by highest injury

NoneNone: 15,692 of 30,968 (50.7%)15,692 · 51%FatalFatal: 6,327 of 30,968 (20.4%)6,327 · 20%MinorMinor: 4,116 of 30,968 (13.3%)4,116 · 13%SeriousSerious: 3,391 of 30,968 (11.0%)3,391 · 11%UnknownUnknown: 1,442 of 30,968 (4.7%)1,442 · 5%30,968 records · counted from the records at build · source NTSB aviation accident database

SOURCE · NTSB aviation accident database, avall.mdb (2008–present) · data cutoff 2026-08-26 · counted from the records

How this hub was made.

Records are the NTSB's own bulk corpus (avall.mdb, 2008–present), refreshed weekly from the official incremental files. Each event links to its NTSB report. This hub presents the record, not analysis — the aviation-review limit is stated deliberately. Downloads are verification extracts.

The aviation safety exhibit page → · The institute's method →

Every edition, dated.

  • Edition 1 published 2026-08-27 · data cutoff 2026-08-26 · first edition

A hub changes only as a new dated edition, on the institute's word — never on a schedule. Collection continues underneath; publication is deliberate.

Verify this hub.

Verification extracts — the working records with their receipts, attribution first, pointing at the origin. We never provide data; the source is the authority, this hub is the lens.

Cite this hub

GRIDINT Research (2026). Aviation safety data hub, edition 1 (data cutoff 2026-08-26). https://gridint.ai/data/aircraft-investigation
@misc{gridint_aircraft_investigation_2026,
  title = {Aviation safety data hub, edition 1},
  author = {{GRIDINT Research}},
  year = {2026},
  note = {Data cutoff 2026-08-26; source: NTSB aviation accident database, avall.mdb (2008–present)},
  url = {https://gridint.ai/data/aircraft-investigation}
}

In pandas

import pandas as pd
D = pd.read_json("https://gridint.ai/demo/aircraft-investigation/explorer-records.json")
records = pd.DataFrame(D["rows"].tolist(), columns=["year", "highest_injury", "state", "make", "fatalities", "ev_id"])

The first row of that extract, as it stands: [2008, "None", "—", "Eurocopter France", 0, "20080211X00175"] — the values are the receipt, whatever a column is called.

Every hub →

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