Aircraft model · Fixed wing single engine · Airplane · registry codes 2802412, 2800202, 2802414

Manufacturer (registry)
DEHAVILLAND
Model
DHC-3
Registry codes
2802412, 2800202, 2802414
Registered
67 aircraft
Type
Fixed wing single engine
Engines
1 · Turbo-prop
Seats
11
Weight class
Up to 12,499 lb
Certification
Type certificated
Data sheet
TCDSA-815
Holder
De Havilland Aircraft of Canada Limited

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 · 88

1953Registered nowDeregistered2026
Aircraft by the year they were built: 88 aircraft
19535
19547
19554
195614
19575
195815
19596
19609
19616
19622
19641
19652
19661
19672
19721
19741
19811
19851
19861
19941
20022
20151

Airworthiness directives that may apply · 28

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

1976In forceSuperseded2026
ADs by the year they took effect: 31 ADs
19761
19832
19861
19881
19921
19961
19981
20044
20052
20061
20081
20113
20141
20162
20181
20224
20232
20241
20251
See all 32 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 ('2802412', '2800202', '2802414'))
  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 · 2

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 ('2802412', '2800202', '2802414'))
  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 · 67

See all 67 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 ('2802412', '2800202', '2802414')
  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 · 62

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 62 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 ('2802412', '2800202', '2802414')
  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 · 94

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

See all 94 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 ('2802412', '2800202', '2802414')
  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 · 394

See all 394 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 = 'DHC3'
  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 · 133

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 133 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 ('2802412', '2800202', '2802414')
    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 = 'DHC3' AND m.code NOT IN ('2802412', '2800202', '2802414')
  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.