NTSB finding section · Aircraft › Aircraft power plant
- Cases
- 266
- In the probable cause
- 233 (88%)
- Fatal cases
- 44
- NTSB code
- 010571
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 | 25 |
|---|---|
| 2009 | 24 |
| 2010 | 31 |
| 2011 | 17 |
| 2012 | 16 |
| 2013 | 8 |
| 2014 | 10 |
| 2015 | 8 |
| 2016 | 9 |
| 2017 | 8 |
| 2018 | 7 |
| 2019 | 20 |
| 2020 | 13 |
| 2021 | 13 |
| 2022 | 13 |
| 2023 | 14 |
| 2024 | 25 |
| 2025 | 4 |
| 2026 | 1 |
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\", '010571') 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", '010571') 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 · 8
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\", '010571') 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", '010571') 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\", '010571'))
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\", '010571') 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", '010571'))
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", '010571') 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 · 266
NTSB WPR26LA115Accident · No injuriesClass 4 · LimitedFinal reportMightyfly MF-100 · Atwater, CAA control system anomaly, which resulted in the overload and failure of one of the propulsion motor systems during the transition from hover to forward flight.NTSB DCA26FA019Accident · No injuriesClass 4 · FieldFinal reportAir Vev AIR ZERO2 · Indiantown, FLA cascading shutoff of multiple aft motors due to a sudden increase in motor loads during maneuvering, resulting in a loss of control.NTSB WPR25LA175Accident · No injuriesClass 3 · LimitedFinal reportCessna 182P · Hyampom, CAThe pilot’s failure to use carburetor heat, which resulted in a loss of engine power due to carburetor icing and a subsequent impact with terrain during a forced landing.NTSB ERA25LA122Accident · No injuriesClass 4 · LimitedFinal reportAllyn Kaste Rans S-19 (KIT) · Doylestown, PAThe pilot’s inadequate maintenance and preflight inspection.NTSB WPR25LA082Accident · Serious injuriesClass 3 · LimitedFinal reportCessna 172K · Columbia, CAA partial loss of engine power for undetermined reasons.NTSB CEN25LA054Accident · No injuriesClass 3 · LimitedFinal reportAmerican AA-1B · Brenham, TXA partial loss of engine power due to an obstructed induction system from a mud dauber nest.NTSB CEN25LA025Accident · No injuriesClass 4 · LimitedFinal reportBoeing A75N1 · Denton, TXThe partial loss of engine power during the initial climb and the pilot’s failure to maintain directional control during the forced landing with a tailwind.NTSB ERA25LA012Accident · Serious injuriesClass 3 · LimitedFinal reportPiper PA28 · Louisville, KYA total loss of engine power for undetermined reasons.NTSB WPR24FA291Accident · 1 fatalClass 3 · FieldFinal reportAmerican Champion 8GCBC · Meeteetse, WYThe pilot’s decision to continue the flight over rising terrain at a low altitude in a high-elevation, high-density-altitude environment.NTSB WPR24LA269Accident · No injuriesClass 3 · LimitedFinal reportProtech PT2 · Lodi, CAA reported loss of engine power for reasons that could not be determined.
See all 266 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\", '010571')) 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", '010571')) 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.