NTSB finding subcategory · Aircraft

Cases
3,618
In the probable cause
3,197 (88%)
Fatal cases
388
NTSB code
0102

NTSB has coded findings and defining events since 2008. Earlier cases used its older occurrence and cause codes, so they aren’t counted here.

When and where

In green, cases where NTSB made it part of the probable cause; in gray, a factor or other finding. Findings are coded with the final report, often a year or more after the event, so the latest years are incomplete.

Cases per year

2008In the probable causeFactor only2026
Cases with Aircraft systems per year: 3,618 cases
2008286
2009222
2010215
2011232
2012239
2013198
2014174
2015178
2016195
2017193
2018203
2019196
2020163
2021181
2022171
2023200
2024195
2025130
202647
Query with SQL
duckdb -csv -c "SELECT year(c.\"eventDate\") AS year, count(DISTINCT f.case_mkey) AS cases,
    count(DISTINCT f.case_mkey) FILTER (WHERE f.\"inProbableCause\") AS in_probable_cause
  FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' f JOIN 'https://openairdocs.org/data/latest/ntsb_case_detail.parquet' c ON c.\"mKey\" = f.case_mkey
  WHERE starts_with(f.\"findingCode\", '0102') AND c.\"eventDate\" >= DATE '2000-01-01'
  GROUP BY 1
  ORDER BY 1"

Prints the counts as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

Sections · 20

Query with SQL
duckdb -csv -c "SELECT left(f.\"findingCode\", 6) AS code, max(f.\"tier3Name\") AS name,
    count(DISTINCT f.case_mkey) AS cases,
    count(DISTINCT f.case_mkey) FILTER (WHERE f.\"inProbableCause\") AS in_probable_cause
  FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' f
  WHERE starts_with(f.\"findingCode\", '0102') AND f.\"findingCode\" GLOB '[0-9][0-9]*'
  GROUP BY 1
  ORDER BY cases DESC, code"

Prints the counts as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

In the same cases

Query with SQL
duckdb -csv -c "WITH matched AS (SELECT DISTINCT case_mkey, aircrafts_position FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' WHERE starts_with(\"findingCode\", '0102'))
  SELECT * FROM (
  SELECT 'Defining event' AS kind, e.\"tier2Number\" AS code, max(e.\"eventTier2Name\") AS name, count(DISTINCT f.case_mkey) AS cases
  FROM matched f JOIN 'https://openairdocs.org/data/latest/ntsb_events.parquet' e ON e.case_mkey = f.case_mkey AND e.aircrafts_position = f.aircrafts_position AND e.\"isDefiningEvent\"
  WHERE e.\"tier2Number\" <> ''
  GROUP BY ALL
  UNION ALL
  SELECT 'Aircraft model', a.aircraft_model_code, any_value(concat_ws(' ', m.manufacturer, m.model)), count(DISTINCT f.case_mkey)
  FROM matched f JOIN 'https://openairdocs.org/data/latest/ntsb_aircrafts.parquet' a ON a.case_mkey = f.case_mkey AND a.position = f.aircrafts_position
  LEFT JOIN 'https://openairdocs.org/data/latest/faa_aircraft_model.parquet' m ON m.code = a.aircraft_model_code
  WHERE a.aircraft_model_code IS NOT NULL
  GROUP BY ALL
  UNION ALL
  SELECT 'Other finding', left(g.\"findingCode\", 8), max(g.\"tier4Name\"), count(DISTINCT g.case_mkey)
  FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' g
  WHERE g.case_mkey IN (SELECT case_mkey FROM matched) AND NOT starts_with(g.\"findingCode\", '0102') AND g.\"findingCode\" GLOB '[0-9][0-9]*'
  GROUP BY ALL
  )
  QUALIFY row_number() OVER (PARTITION BY kind ORDER BY cases DESC) <= 10
  ORDER BY kind, cases DESC"

Prints the counts as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.

Newest cases · 3,618

NTSB CEN26LA278Accident · No injuriesClass 4 · LimitedFinal reportCessna 310 · North Little Rock, ARThe flight instructor and pilot receiving instruction’s failure to verify that the landing gear was extended before landing, which resulted in a gear-up landing.Aug 1, 2026 · N3618G · Substantial damageNTSB ERA26LA280Accident · No injuriesClass 4 · LimitedFinal reportWaco ASO · Hamilton, OHThe separation of the right main landing gear axle, which resulted in a loss of control during the landing roll.Jul 24, 2026 · N119Y · Substantial damageNTSB WPR26LA240Accident · Serious injuriesClass 4 · LimitedFinal reportBellanca 17-30A · Santa Paula, CAThe pilot’s improper fuel management, which resulted in fuel starvation and a loss of engine power.Jun 27, 2026 · N501CR · Substantial damageNTSB ERA26LA265Accident · No injuriesClass 4 · LimitedFinal reportBeech E35 · Lincoln, ALThe pilot’s failure to ensure that the landing gear were extended prior to landing.Jun 27, 2026 · N3272C · Substantial damageNTSB CEN26LA240Accident · No injuriesClass 4 · LimitedFinal reportBeech 58 · Traverse City, MIThe pilot’s failure to extend the landing gear before landing.Jun 24, 2026 · N96GB · Substantial damageNTSB CEN26LA236Accident · No injuriesClass 4 · LimitedFinal reportBeech C24R · Baton Rouge, LAThe pilot’s failure to extend the landing gear before landing.Jun 24, 2026 · N6164C · Substantial damageNTSB CEN26LA232Accident · Minor injuriesClass 4 · LimitedFinal reportRocky Mountain Kitplanes S-6S · Marvel, ARA partial blockage of the pitot static system that precluded the airspeed indicator from displaying the correct airspeed which led to the faster landing speed and bounced landing.Jun 23, 2026 · N164GR · Substantial damageNTSB CEN26LA226Accident · No injuriesClass 4 · LimitedFinal reportBeech A36TC · Kingsford, MIThe pin on the nose gear brace assembly that engages with the cam on the nose landing gear door actuator shaft was not seated inside the cam, which rendered the nose landing gear inoperative.Jun 14, 2026 · N3701N · Substantial damageNTSB WPR26LA210Accident · No injuriesClass 4 · LimitedFinal reportCessna P210 · Salem, ORThe pilot’s failure to extend the landing gear prior to landing.Jun 3, 2026 · N4875K · Substantial damageNTSB ERA26LA318Accident · No injuriesClass 4 · LimitedFinal reportCessna 140 · Homestead, FLThe pilot’s excessive braking during the landing roll, which resulted in a nose over.May 30, 2026 · N77061 · Substantial damage
See all 3,618 cases
Query with SQL
duckdb -csv -c "SELECT c.\"ntsbNumber\", c.\"eventDate\", c.\"eventType\", c.\"eventCity\", c.\"eventStateOrRegion\", a.n_number, a.\"aircraftMake\", a.\"aircraftModel\", c.\"highestInjuryLevel\", c.\"totalFatal\", c.\"completionStatus\", c.report_url
  FROM 'https://openairdocs.org/data/latest/ntsb_case_detail.parquet' c LEFT JOIN 'https://openairdocs.org/data/latest/ntsb_aircrafts.parquet' a ON a.case_mkey = c.\"mKey\" AND a.position = 1
  WHERE c.\"mKey\" IN (SELECT f.case_mkey FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' f WHERE starts_with(f.\"findingCode\", '0102'))
  ORDER BY c.\"eventDate\" DESC, c.\"ntsbNumber\" DESC"

Prints the whole list as CSV. It reads the release’s Parquet files over HTTPS, so there’s nothing to download first. Install DuckDB to run it.