ACMI Tracking - Worldwide ACMI/Wet lease flights
Verified Data Provider|
flight_id
|
date
|
observation_start
|
observation_end
|
altitude_start
|
altitude_end
|
callsign
|
takeoff_time
|
landing_time
|
origin_airport_icao
|
origin_airport_iata
|
destination_airport_icao
|
destination_airport_iata
|
speed_start
|
speed_end
|
duration
|
max_time
|
flight_type
|
regional_partnership
|
callsign_icao
|
callsign_flight_number
|
callsign_suffix
|
wet_lease_cha_code
|
wet_lease_customer_name
|
id
|
cn
|
msn
|
aircraft_variant
|
icao
|
reg
|
hexcode
|
seats_y
|
seats_yp
|
seats_w
|
seats_c
|
seats_f
|
aircraft_role
|
|||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
| xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
| xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
| xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
| xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
| xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
| Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx |
| Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx |
| Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx |
| Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
flight_id
|
String | e227a480-55e6-4d1a-9cd3-4cf3fb292345 | |
|
date
|
DateTime | 30.03.2025 00:00 | |
|
observation_start
|
DateTime | 30.03.2025 04:33 | |
|
observation_end
|
DateTime | 30.03.2025 06:51 | |
|
altitude_start
|
Integer | 1200 | |
|
altitude_end
|
Integer | 690 | |
|
callsign
|
String | SWR1YB | |
|
takeoff_time
|
DateTime | 30.03.2025 04:41 | |
|
landing_time
|
DateTime | 30.03.2025 06:44 | |
|
origin_airport_icao
|
String | LSZH | |
|
origin_airport_iata
|
String | ZRH | |
|
destination_airport_icao
|
String | EIDW | |
|
destination_airport_iata
|
String | DUB | |
|
speed_start
|
Integer | 3 | |
|
speed_end
|
Integer | 3 | |
|
duration
|
String | 02:03:14 | |
|
max_time
|
String | 30.03.2025 06:51 | |
|
flight_type
|
String | ferry | |
|
regional_partnership
|
String | Alaska Horizon | |
| String | FedEx Express | Company Name | |
|
callsign_icao
|
String | SWR | |
|
callsign_flight_number
|
String | 1YB | |
|
callsign_suffix
|
String | K | |
|
wet_lease_cha_code
|
String | LX | |
|
wet_lease_customer_name
|
String | Swiss | |
|
id
|
Integer | 5335 | |
|
cn
|
String | 19000491 | |
|
msn
|
String | 19000491 | |
|
aircraft_variant
|
String | ERJ 190-200AR | |
| String | OAW | Company ID | |
| String | Helvetic Airways | Company Name | |
|
icao
|
String | OAW | |
|
reg
|
String | HB-JVA | |
|
hexcode
|
String | 4B19E6 | |
|
seats_y
|
Integer | 100 | |
|
seats_yp
|
Integer | 18 | |
|
seats_w
|
Integer | 5 | |
|
seats_c
|
Integer | 5 | |
|
seats_f
|
Integer | 5 | |
|
aircraft_role
|
String | PAX |
Description
Country Coverage
History
Volume
| 16,000 | flights per week |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Not available |
| Yearly License | Available |
| Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Products
CustomWeather API | Airport Delay Weather Forecasts | 48-Hours Ahead |300 Global Airports | Airport Data | Aviation Data | Flight Data
Aviation (Airlines) Data from Flight Aggregators | Global Coverage for Airline Data | 500M+ Records | Historical Airfare Trends and Pricing Insights
Airframe MRO Providers and Customers - Worldwide list of airframe maintenance, repair, and overhaul providers and their commercial aviation customers
Tourism Data | Travel Data | 330M+ Global Devices | CCPA Compliant
Frequently asked questions
What is ACMI Tracking - Worldwide ACMI/Wet lease flights?
ACMI flight events for commercial aviation based on Spire satellite/terrestrial ADS-B data and ch-aviation fleet data
What is ACMI Tracking - Worldwide ACMI/Wet lease flights used for?
This product has 5 key use cases. ch-aviation recommends using the data for Flight Tracking, Economic Analysis, Market Share Analysis, Marketing Strategy, and B2B Marketing Analytics. Global businesses and organizations buy Flight Data from ch-aviation to fuel their analytics and enrichment.
Who can use ACMI Tracking - Worldwide ACMI/Wet lease flights?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Flight Data. Get in touch with ch-aviation to see what their data can do for your business and find out which integrations they provide.
How far back does the data in ACMI Tracking - Worldwide ACMI/Wet lease flights go?
This product has 63 weeks of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.
Which countries does ACMI Tracking - Worldwide ACMI/Wet lease flights cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. ch-aviation is headquartered in Switzerland.
How much does ACMI Tracking - Worldwide ACMI/Wet lease flights cost?
Pricing information for ACMI Tracking - Worldwide ACMI/Wet lease flights is available by getting in contact with ch-aviation. Connect with ch-aviation to get a quote and arrange custom pricing models based on your data requirements.
How can I get ACMI Tracking - Worldwide ACMI/Wet lease flights?
Businesses can buy Flight Data from ch-aviation and get the data via S3 Bucket. Depending on your data requirements and subscription budget, ch-aviation can deliver this product in .csv format.
What is the data quality of ACMI Tracking - Worldwide ACMI/Wet lease flights?
You can compare and assess the data quality of ch-aviation using Datarade’s data marketplace.
What are similar products to ACMI Tracking - Worldwide ACMI/Wet lease flights?
This product has 3 related products. These alternatives include CustomWeather API Airport Delay Weather Forecasts 48-Hours Ahead 300 Global Airports Airport Data Aviation Data Flight Data, Aviation (Airlines) Data from Flight Aggregators Global Coverage for Airline Data 500M+ Records Historical Airfare Trends and Pricing Insights, and Airframe MRO Providers and Customers - Worldwide list of airframe maintenance, repair, and overhaul providers and their commercial aviation customers. You can compare the best Flight Data providers and products via Datarade’s data marketplace and get the right data for your use case.
