Aircraft model · Fixed wing multi engine · Airplane · registry codes 7104402, 7104406

Manufacturer (registry)
PIPER · PIPER AIRCRAFT INC
Model
PA-44-180
Registry codes
7104402, 7104406
Registered
558 aircraft
Type
Fixed wing multi engine
Engines
2 · Reciprocating
Seats
4
Weight class
Up to 12,499 lb
Certification
Type certificated
Data sheet
TCDSA19SO
Holder
Piper Aircraft Inc.

Model codes come from the FAA registry’s reference file. ADs are matched to them by model name and maker. The FAA lists this model under more than one registry code, usually for different spellings of the maker. This page covers them all.

On this page

Aircraft by year built · 847

1972Registered nowDeregistered2026
Aircraft by the year they were built: 847 aircraft
19721
1978135
1979104
198013
19816
19898
19902
19932
19952
19964
19974
19982
19998
200012
200150
200251
200312
200411
200527
200610
200710
200820
20096
201016
201115
201221
201322
201422
201513
20168
201714
201834
201937
202017
202115
202218
202317
202426
202528
202624

Airworthiness directives that may apply · 26

ADs whose products match this airframe model. Each AD’s applicability may narrow it by serial number, part number or configuration.

1979In forceSuperseded2026
ADs by the year they took effect: 29 ADs
19794
19803
19813
19942
19961
19971
20001
20031
20041
20053
20061
20082
20091
20101
20131
20161
20221
20241
See all 29 ADs
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 ('7104402', '7104406'))
  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.

Information bulletins that may apply · 12

Historical bulletins · 1
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 ('7104402', '7104406'))
  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.

Registered aircraft · 558

See all 558 registered aircraft
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 ('7104402', '7104406')
  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.

NTSB investigations · 128

Aircraft matched to this model through the registry, by N-number and event date, checked against the reported serial number, make and model.

See all 128 investigations
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 ('7104402', '7104406')
  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.

FAA incident reports · 557

Matched to this model through the registry, by N-number and event date, checked against the reported make and model.

See all 557 incident reports
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 ('7104402', '7104406')
  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.

Service difficulty reports · 881

See all 881 difficulty reports
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 = 'PA44180'
  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.

STCs that may be installed · 199

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.

See all 199 STCs
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 ('7104402', '7104406')
    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.

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 = 'PA44180' AND m.code NOT IN ('7104402', '7104406')
  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.