Psychological

NTSB finding subcategory · Personnel issues

Cases
2,517
In the probable cause
2,348 (93%)
Fatal cases
801
NTSB code
0202

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 Psychological per year: 2,517 cases
2008143
2009172
2010114
2011130
2012121
2013133
2014129
2015155
2016136
2017158
2018167
2019167
2020106
2021148
2022125
2023135
2024119
2025113
202646
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\", '0202') 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 · 6

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\", '0202') 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\", '0202'))
  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\", '0202') 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 · 2,517

NTSB ERA26LA307Accident · No injuriesClass 4 · LimitedFinal reportPiper PA-28-181 · Altoona, PAThe pilot’s descent below the glidepath and collision with trees during a missed approach.Aug 14, 2026 · N586MA · Substantial damageNTSB ERA26LA300Accident · Serious injuriesClass 4 · LimitedFinal reportWaco Classic 2T-1A-2 · Clermont, FLThe pilot’s failure to maintain clearance from trees during the landing approach.Aug 14, 2026 · N621GL · DestroyedNTSB ERA26LA297Accident · No injuriesClass 4 · LimitedFinal reportCessna 172N · Morgantown, WVThe fuel truck driver’s distraction and inadequate visual lookout, which resulted in a collision with an airplane.Aug 9, 2026 · N6175G · Substantial damageNTSB CEN26LA286Accident · No injuriesClass 4 · LimitedFinal reportCessna T188C · Randolph, NEThe pilot’s failure to maintain clearance from a tree during a low-level aerial application flight.Aug 1, 2026 · N9998J · Substantial damageNTSB 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 ERA26LA285Accident · No injuriesClass 4 · LimitedFinal reportBell 206L-3 · Tuscumbia, ALThe pilot’s failure to keep the tail rotor clear of an obstacle while attempting to land.Jul 29, 2026 · N29AE · Substantial damageNTSB ERA26LA275Accident · No injuriesClass 4 · LimitedFinal reportJeremy Price Smith Super CUB · Allisonia, VAThe pilot’s inadequate lookout, which resulted in a collision with ground equipment during taxi.Jul 19, 2026 · N251HF · Substantial damageNTSB CEN26LA289Accident · No injuriesClass 4 · LimitedFinal reportRobinson Helicopter R44 Raven 1 · Scribner, NEThe pilot's failure to maintain clearance from power lines while maneuvering at low-level altitude during an agricultural operation.Jul 18, 2026 · N26EH · Substantial damageNTSB CEN26LA256Accident · No injuriesClass 4 · LimitedFinal reportRobinson Helicopter R44 II · Coralville, IAThe pilot’s failure to maintain clearance from a power line during a low-level aerial application flight.Jul 16, 2026 · N322TC · Substantial damageNTSB ERA26LA273Accident · Minor injuriesClass 4 · LimitedFinal reportPiper PA-28-180 · Linneus, METhe pilot’s inadequate preflight and in-flight monitoring of the fuel quantity, which resulted in a total loss of engine power due to fuel exhaustion.Jul 15, 2026 · N9758J · Substantial damage
See all 2,517 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\", '0202'))
  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.