Aircraft model · Fixed wing multi engine · Airplane · registry code 1900309

Manufacturer (registry)
CANADAIR
Model
CL-600-2B19
Registry code
1900309
Registered
19 aircraft
Type
Fixed wing multi engine
Engines
2 · Turbo-fan
Seats
55
Weight class
20,000 lb and over
Certification
Type certificated
Data sheet
TCDSA21EA-1
Holder
MHI RJ Aviation ULC

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 · 112

1992Registered nowDeregistered2026
Aircraft by the year they were built: 112 aircraft
19921
199312
199413
199513
199626
199728
199816
20031
20091
20101

Airworthiness directives that may apply · 159

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

1981In forceSuperseded2026
ADs by the year they took effect: 216 ADs
19811
19826
19931
19946
19954
19962
19973
19984
19995
20005
20015
20027
200312
200410
200510
200613
20077
200817
20097
201013
20119
20126
20137
20146
20155
20167
20173
20181
20195
20209
20213
20223
20235
20243
20253
20263
See all 216 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 ('1900309'))
  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 · 9

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 ('1900309'))
  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 · 19

See all 19 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 ('1900309')
  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 · 17

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

Defining event, 2008 on

Of 1 case NTSB coded with a defining event. All defining events

In the probable cause, 2008 on

Findings NTSB made part of the probable cause. A case can have several. All findings

First occurrence, 1982 to 2007

Of 15 cases with NTSB’s older coding, defined in its coding manual.

See all 17 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 ('1900309')
  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 · 106

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

See all 106 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 ('1900309')
  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 · 90,254

See all 90,254 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 = 'CL6002B19'
  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 · 322

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 322 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 ('1900309')
    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 = 'CL6002B19' AND m.code NOT IN ('1900309')
  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.