NTSB finding subcategory · Organizational issues
- Cases
- 242
- In the probable cause
- 167 (69%)
- Fatal cases
- 109
- NTSB code
- 0403
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
| 2008 | 23 |
|---|---|
| 2009 | 12 |
| 2010 | 15 |
| 2011 | 14 |
| 2012 | 22 |
| 2013 | 22 |
| 2014 | 14 |
| 2015 | 22 |
| 2016 | 14 |
| 2017 | 16 |
| 2018 | 12 |
| 2019 | 10 |
| 2020 | 3 |
| 2021 | 6 |
| 2022 | 11 |
| 2023 | 13 |
| 2024 | 9 |
| 2025 | 4 |
Where
Open the mapQuery 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\", '0403') 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.
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", '0403') AND c."eventDate" >= DATE '2000-01-01' GROUP BY 1 ORDER BY 1
Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.
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\", '0403') 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.
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", '0403') AND f."findingCode" GLOB '[0-9][0-9]*' GROUP BY 1 ORDER BY cases DESC, code
Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.
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\", '0403'))
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\", '0403') 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.
WITH matched AS (SELECT DISTINCT case_mkey, aircrafts_position FROM 'https://openairdocs.org/data/latest/ntsb_findings.parquet' WHERE starts_with("findingCode", '0403'))
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", '0403') 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 DESCRun it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.
Newest cases · 242
NTSB CEN25LA101Accident · No injuriesClass 4 · LimitedFinal reportCessna 177A · Farlinville, KSA loss of engine power that resulted from fuel contamination when it was treated with a 70% isopropyl alcohol solution (antiseptic) that contained water. Contributing to the accident were vague fuel treatment instructions provided by the operator.NTSB ANC25MA018Accident · 10 fatalClass 1 · MajorFinal reportTextron 208B · Nome, AKThe National Transportation Safety Board determines that the probable cause of this accident was the pilot’s inadequate airspeed management due to workload and degraded situation awareness and his improper inputs leading up to and during the aerodynamic…NTSB WPR25LA089Accident · Serious injuriesClass 4 · LimitedFinal reportLockheed C-130A · Daggett, CAAn inflight upset due to an improperly secured load that resulted in serious injuries.NTSB DCA25MA108Accident · 67 fatalClass 1 · MajorFinal reportBombardier CL-600-2C10 · Washington, DCThe Federal Aviation Administration’s (FAA) placement of a helicopter route in close proximity to a runway approach path; their failure to regularly review and evaluate helicopter routes and available data, and their failure to act on recommendations to…NTSB ANC25LA008Accident · Serious injuriesClass 3 · LimitedFinal reportCub Crafters CC18-180 · Anchorage, AKThe incorrect installation of the rear flight control stick, resulting in the pilot’s inability to control the pitch attitude, coupled with the pilot’s inadequate control system check before departure, all which resulted in an aerodynamic stall during takeoff.NTSB ANC24FA102Accident · 1 fatalClass 3 · FieldFinal reportCessna 206 · Chalkyitsik, AKA loss of engine power due to water-contaminated fuel as a result of the pilot’s inadequate preflight inspection. Contributing to the accident was the operator’s failure to ensure replacement filters were available for use during refueling operations.NTSB ANC24LA079Accident · Minor injuriesClass 4 · LimitedFinal reportRobinson Helicopter R44 II · Palmer, AKThe pilot's failure to follow the operator’s procedure manual and attempted to land at a remote landing zone in high wind conditions. Contributing factor was the pilot’s decision to not conduct a fly over of the landing site to determine wind condition which…NTSB WPR24LA241Accident · No injuriesClass 3 · LimitedFinal reportRobinson Helicopter R44 II · Herriman, UTA hard landing following a total loss of engine power due to fuel starvation as a result of the improper idle setting of the helicopter’s engine. Contributing to the loss of engine power was the instructor’s reduction of engine power past that recommended by…NTSB CEN24LA144Accident · 1 fatalClass 3 · LimitedFinal reportPiper PA28 · Muncie, INThe pilot’s spatial disorientation and subsequent loss of control while maneuvering outside established instrument approach procedures in instrument meteorological conditions, which resulted in an impact with terrain. Contributing to the accident was the…NTSB DCA24LA097Accident · Serious injuriesClass 3 · LimitedFinal reportBoeing 777-222ER · Kelsey, NYThe airplane’s encounter with an unanticipated localized region of moderate-to-severe turbulence while in instrument meteorological conditions (IMC) associated with strong upper-level wind shear and convective cells. Contributing to the severity of the…
See all 242 casesQuery 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\", '0403')) 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.
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", '0403')) ORDER BY c."eventDate" DESC, c."ntsbNumber" DESC
Run it at the DuckDB prompt, or in any tool that reads Parquet over HTTPS. More ways to query the release are on Use the data.