Cessna 525

Aircraft model · Fixed wing multi engine · Airplane · registry codes 2076601, 2076653

Manufacturer (registry)
CESSNA · CESSNA AIRCRAFT CO
Model
525
Registry codes
2076601, 2076653
Registered
447 aircraft
Type
Fixed wing multi engine
Engines
2 · Turbo-fan
Seats
8
Weight class
Up to 12,499 lb
Certification
Type certificated
Data sheet
TCDSA1WI
Holder
Textron Aviation 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 · 607

1993Registered nowDeregistered2026
Aircraft by the year they were built: 607 aircraft
199337
199440
199523
199638
199753
199849
199944
200047
200154
200223
200316
200417
200514
200624
200724
200820
20095
20103
20112
20122
201315
201434
201520
20161
20191
20211

Airworthiness directives that may apply · 17

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

1997In forceSuperseded2026
ADs by the year they took effect: 19 ADs
19971
19981
19991
20012
20021
20031
20042
20051
20083
20131
20141
20191
20201
20231
20241
See all 19 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 ('2076601', '2076653'))
  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 · 1

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 ('2076601', '2076653'))
  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 · 447

See all 447 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 ('2076601', '2076653')
  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.

STCs approved for this model · 136

See all 136 STCs
Query with SQL
duckdb -csv -c "SELECT s.stc_number, s.description, s.holder, s.status, s.status_date
  FROM 'https://openairdocs.org/data/latest/faa_stc.parquet' s
  WHERE s.stc_number IN (SELECT stc_number FROM 'https://openairdocs.org/data/latest/faa_stc_model.parquet' WHERE model_key = '525')
  ORDER BY s.status = 'Current' 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.

NTSB investigations · 20

Aircraft matched to this model through the registry, by N-number and event date.

See all 20 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 ('2076601', '2076653')
  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 · 49

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

See all 49 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 ('2076601', '2076653')
  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 · 260

See all 260 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 = '525'
  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.

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 = '525' AND m.code NOT IN ('2076601', '2076653')
  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.