- Manufacturer (registry)
- IAI LTD
- Model
- GULFSTREAM G150
- Registry code
- 4500401
- Registered
- 23 aircraft
- Type
- Fixed wing multi engine
- Engines
- 2 · Turbo-fan
- Seats
- 11
- Weight class
- 20,000 lb and over
- Certification
- Type certificated
- Data sheet
- TCDSA16NM
- Holder
- Gulfstream Aerospace LP
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 · 40
| 2009 | 1 |
|---|---|
| 2010 | 6 |
| 2011 | 6 |
| 2012 | 6 |
| 2013 | 4 |
| 2014 | 4 |
| 2015 | 6 |
| 2016 | 6 |
| 2017 | 1 |
Airworthiness directives that may apply · 10
ADs whose products match this airframe model. Each AD’s applicability may narrow it by serial number, part number or configuration.
| 2008 | 1 |
|---|---|
| 2011 | 1 |
| 2012 | 1 |
| 2014 | 1 |
| 2017 | 1 |
| 2019 | 1 |
| 2022 | 1 |
| 2023 | 1 |
| 2025 | 1 |
| 2026 | 2 |
Airframe · Iai GULFSTREAM G150
AD 2026-18-06Time limits/Maintenance checksAD 2026-13-02NavigationAD 2023-10-02Indicating/Recording System, NavigationAD 2022-21-16WingsAD 2019-03-13Electrical powerAD 2017-21-04DoorsAD 2014-15-19Operations informationAD 2012-13-51FuelEmergency ADAD 2011-23-07Flight controlsAD 2008-08-19Electrical feeder cableSuperseded and historical ADs · 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 ('4500401'))
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 ('4500401'))
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.
Registered aircraft · 23
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 ('4500401')
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 ('4500401')
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 · 1
Aircraft matched to this model through the registry, by N-number and event date, checked against the reported serial number, make and model.
Of 1 case NTSB coded with a defining event. All defining events
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 ('4500401')
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 ('4500401')
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 · 3
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 ('4500401')
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 ('4500401')
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
STCs that may be installed · 4
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 ('4500401')
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 ('4500401')
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 = 'GULFSTREAMG150' AND m.code NOT IN ('4500401')
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 = 'GULFSTREAMG150' AND m.code NOT IN ('4500401')
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.