NTSB finding section · Personnel issues › Miscellaneous
- Cases
- 49
- In the probable cause
- 40 (82%)
- Fatal cases
- 28
- NTSB code
- 020510
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 | 2 |
|---|---|
| 2009 | 5 |
| 2010 | 3 |
| 2011 | 3 |
| 2012 | 1 |
| 2013 | 4 |
| 2015 | 7 |
| 2016 | 3 |
| 2017 | 2 |
| 2018 | 3 |
| 2019 | 2 |
| 2020 | 1 |
| 2021 | 4 |
| 2022 | 2 |
| 2023 | 2 |
| 2024 | 5 |
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\", '020510') 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", '020510') 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.
Subsections · 5
Query with SQL
duckdb -csv -c "SELECT left(f.\"findingCode\", 8) AS code, max(f.\"tier4Name\") 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\", '020510') 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", 8) AS code, max(f."tier4Name") 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", '020510') 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\", '020510'))
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\", '020510') 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", '020510'))
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", '020510') 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 · 49
NTSB ERA24LA346Accident · 1 fatalClass 4 · LimitedFinal reportPiper J3 · Mooresburg, TNThe pilot’s intentional flight into a building as an act of suicide.NTSB WPR24LA281Accident · No injuriesClass 3 · LimitedFinal reportEvektor-Aerotechnik A S Harmony LSA · Grants, NMA total loss of engine power due to fuel starvation for reasons that could not be determined.NTSB WPR24LA142Accident · 1 fatalClass 3 · LimitedFinal reportUltramagic Z-90 · Del Mar, CAThe passenger’s intentional departure from the balloon in flight as an act of suicide.NTSB CEN24LA157Accident · 1 fatalClass 3 · LimitedFinal reportPiper PA-28-161 · Montmorenci, INThe pilot’s intentional flight into terrain as an act of suicide.NTSB CEN24LA099Accident · 1 fatalClass 4 · LimitedFinal reportTextron 172S · Direct, TXThe pilot died by suicide.NTSB CEN23FA155Accident · 1 fatalClass 3 · FieldFinal reportJunior Ace · Mammoth Springs, ARThe pilot’s intentional flight into terrain as an act of suicide.NTSB CEN23LA093Accident · 1 fatalClass 4 · LimitedFinal reportCirrus Design SR20 · Indianapolis, INThe pilot’s intentional flight into terrain as an act of suicide.NTSB CEN22LA428Accident · No injuriesClass 4 · LimitedFinal reportBeech C90A · Tupelo, MSThe uncertificated pilot’s criminal act of stealing the airplane and later performing an off-airport landing that resulted in an impact with terrain.NTSB ERA22LA375Accident · 1 fatalClass 4 · LimitedFinal reportCessna 172 · Atlantic Ocean (Atlantic Ocean)The pilot's suicide.NTSB WPR22LA049Accident · Minor injuriesClass 4 · LimitedFinal reportTaylorcraft BL-65 · New Cuyama, CAThe pilot’s decision to intentionally crash the airplane.
See all 49 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\", '020510')) 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", '020510')) 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.