- Manufacturer (registry)
- PIPER
- Model
- PA-24
- Registry code
- 7102402
- Registered
- 345 aircraft
- Type
- Fixed wing single engine
- Engines
- 1 · Reciprocating
- Seats
- 4
- Weight class
- Up to 12,499 lb
- Cruise speed
- 120 mph
- Certification
- Type certificated
- Data sheet
- TCDS1A15
- Holder
- Piper Aircraft Inc.
Model codes come from the FAA registry’s reference file. ADs are matched to them by model name and maker.
On this page
Aircraft by year built · 503
| 1950 | 1 |
|---|---|
| 1956 | 1 |
| 1957 | 6 |
| 1958 | 106 |
| 1959 | 134 |
| 1960 | 112 |
| 1961 | 75 |
| 1962 | 30 |
| 1963 | 21 |
| 1964 | 7 |
| 1965 | 2 |
| 1967 | 1 |
| 1971 | 1 |
| 1976 | 1 |
| 1981 | 1 |
| 1988 | 1 |
| 1990 | 1 |
| 1994 | 1 |
| 2017 | 1 |
Airworthiness directives that may apply · 36
ADs whose products match this airframe model. Each AD’s applicability may narrow it by serial number, part number or configuration.
| 1959 | 6 |
|---|---|
| 1960 | 1 |
| 1961 | 1 |
| 1962 | 2 |
| 1964 | 2 |
| 1965 | 1 |
| 1968 | 1 |
| 1969 | 1 |
| 1974 | 1 |
| 1975 | 2 |
| 1976 | 2 |
| 1977 | 2 |
| 1979 | 1 |
| 1981 | 1 |
| 1983 | 2 |
| 1994 | 1 |
| 1997 | 1 |
| 1998 | 1 |
| 2000 | 1 |
| 2001 | 1 |
| 2005 | 1 |
| 2006 | 1 |
| 2012 | 1 |
| 2022 | 1 |
| 2024 | 1 |
Query with SQL
duckdb -csv -c "SELECT d.ad_number, d.status, d.subject, d.effective_date
FROM 'https://openairdocs.org/data/latest/faa_directive.parquet' d
WHERE d.ad_id IN (SELECT ad_id FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_directive.parquet' WHERE aircraft_model_code IN ('7102402'))
ORDER BY coalesce(d.effective_date, d.publication_date, d.issue_date) DESC, d.ad_number 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 d.ad_number, d.status, d.subject, d.effective_date
FROM 'https://openairdocs.org/data/latest/faa_directive.parquet' d
WHERE d.ad_id IN (SELECT ad_id FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_directive.parquet' WHERE aircraft_model_code IN ('7102402'))
ORDER BY coalesce(d.effective_date, d.publication_date, d.issue_date) DESC, d.ad_number 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.
Information bulletins that may apply · 5
Query with SQL
duckdb -csv -c "SELECT s.saib_number, any_value(s.title) AS title, max(s.issue_date) AS issue_date, any_value(s.status) AS status
FROM 'https://openairdocs.org/data/latest/faa_saib.parquet' s
WHERE s.saib_id IN (SELECT saib_id FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_saib.parquet' WHERE aircraft_model_code IN ('7102402'))
GROUP BY s.saib_number ORDER BY issue_date 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 s.saib_number, any_value(s.title) AS title, max(s.issue_date) AS issue_date, any_value(s.status) AS status
FROM 'https://openairdocs.org/data/latest/faa_saib.parquet' s
WHERE s.saib_id IN (SELECT saib_id FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_saib.parquet' WHERE aircraft_model_code IN ('7102402'))
GROUP BY s.saib_number ORDER BY issue_date 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.
Registered aircraft · 345
Query with SQL
duckdb -csv -c "SELECT n_number, serial_number, year_manufactured, status, registrant_name, registrant_city, registrant_state
FROM 'https://openairdocs.org/data/latest/faa_aircraft_registration.parquet'
WHERE aircraft_model_code IN ('7102402')
ORDER BY n_number"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 n_number, serial_number, year_manufactured, status, registrant_name, registrant_city, registrant_state
FROM 'https://openairdocs.org/data/latest/faa_aircraft_registration.parquet'
WHERE aircraft_model_code IN ('7102402')
ORDER BY n_numberRun 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.
NTSB investigations · 425
Aircraft matched to this model through the registry, by N-number and event date, checked against the reported serial number, make and model.
Of 21 cases NTSB coded with a defining event. All defining events
Findings NTSB made part of the probable cause. A case can have several. All findings
Of 82 cases with NTSB’s older coding, defined in its coding manual.
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_aircrafts.parquet' a JOIN 'https://openairdocs.org/data/latest/ntsb_case_detail.parquet' c ON c.\"mKey\" = a.case_mkey
WHERE a.aircraft_model_code IN ('7102402')
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_aircrafts.parquet' a JOIN 'https://openairdocs.org/data/latest/ntsb_case_detail.parquet' c ON c."mKey" = a.case_mkey
WHERE a.aircraft_model_code IN ('7102402')
ORDER BY c."eventDate" DESC, c."ntsbNumber" 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.
FAA incident reports · 399
Matched to this model through the registry, by N-number and event date, checked against the reported make and model.
Query with SQL
duckdb -csv -c "SELECT report_number, event_date, event_type, city, state, aircraft_make, aircraft_model, aircraft_damage, fatal_injuries, n_number
FROM 'https://openairdocs.org/data/latest/faa_incident_report.parquet'
WHERE aircraft_model_code IN ('7102402')
ORDER BY event_date DESC, report_number 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 report_number, event_date, event_type, city, state, aircraft_make, aircraft_model, aircraft_damage, fatal_injuries, n_number
FROM 'https://openairdocs.org/data/latest/faa_incident_report.parquet'
WHERE aircraft_model_code IN ('7102402')
ORDER BY event_date DESC, report_number 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.
Service difficulty reports · 23
Query with SQL
duckdb -csv -c "SELECT sdr_id, difficulty_date, n_number, aircraft_make, aircraft_model, part_name, part_condition, jasc_code, discrepancy FROM 'https://openairdocs.org/data/latest/faa_service_difficulty_report.parquet' WHERE aircraft_model_key = 'PA24' ORDER BY difficulty_date 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 sdr_id, difficulty_date, n_number, aircraft_make, aircraft_model, part_name, part_condition, jasc_code, discrepancy FROM 'https://openairdocs.org/data/latest/faa_service_difficulty_report.parquet' WHERE aircraft_model_key = 'PA24' ORDER BY difficulty_date 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.
STCs that may be installed · 342
Approved for this model: the STC’s model list names it on its data sheet, or a series that includes it. The registry doesn’t record which STCs an aircraft has.
Query with SQL
duckdb -csv -c "SELECT s.stc_number, s.description, s.holder, s.status, s.status_date, m.matched_model
FROM (
SELECT stc_number, min(matched_model) AS matched_model
FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_stc.parquet'
WHERE aircraft_model_code IN ('7102402')
GROUP BY stc_number
) m JOIN 'https://openairdocs.org/data/latest/faa_stc.parquet' s USING (stc_number)
ORDER BY s.status = 'Current' DESC, s.status_date DESC, s.stc_number"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 s.stc_number, s.description, s.holder, s.status, s.status_date, m.matched_model
FROM (
SELECT stc_number, min(matched_model) AS matched_model
FROM 'https://openairdocs.org/data/latest/faa_aircraft_model_stc.parquet'
WHERE aircraft_model_code IN ('7102402')
GROUP BY stc_number
) m JOIN 'https://openairdocs.org/data/latest/faa_stc.parquet' s USING (stc_number)
ORDER BY s.status = 'Current' DESC, s.status_date DESC, s.stc_numberRun 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.
The same model under other registry codes
Amateur-built copies and renamed makers get their own codes.
Query with SQL
duckdb -csv -c "SELECT m.code, m.manufacturer, m.model, count(g.n_number) AS aircraft
FROM 'https://openairdocs.org/data/latest/faa_aircraft_model.parquet' m LEFT JOIN 'https://openairdocs.org/data/latest/faa_aircraft_registration.parquet' g ON g.aircraft_model_code = m.code
WHERE m.match_key = 'PA24' AND m.code NOT IN ('7102402')
GROUP BY ALL
ORDER BY aircraft DESC
LIMIT 12"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 m.code, m.manufacturer, m.model, count(g.n_number) AS aircraft
FROM 'https://openairdocs.org/data/latest/faa_aircraft_model.parquet' m LEFT JOIN 'https://openairdocs.org/data/latest/faa_aircraft_registration.parquet' g ON g.aircraft_model_code = m.code
WHERE m.match_key = 'PA24' AND m.code NOT IN ('7102402')
GROUP BY ALL
ORDER BY aircraft DESC
LIMIT 12Run 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.