Air Freight & Logistics
FlightAware Live Flight Tracking
Datadory delivers FlightAware live flight tracking data covering global aircraft positions, airport arrivals and departures boards, and per-flight tracks across passenger and cargo operations alike - a mesh of more than 41,000 ground receivers plus space-based ADS-B holding over 699 million flights, with history reaching back to 1 January 2011.
API, files, or your warehouse. Daily, weekly, or hourly.
- Where it covers
- Global - more than 41,000 terrestrial ADS-B receivers plus space-based ADS-B, datalink and radar feeds, so oceanic segments resolve alongside continental corridors
- How far back
- Live positions now, with historical flight records reaching back to 1 January 2011
- How fine
- Per-flight position and event records, rolling up to airport-level arrivals and departures boards
What is FlightAware Live Flight Tracking?
FlightAware Live Flight Tracking is the Air Freight & Logistics catalog's movement-layer record: global aircraft positions, airport arrivals and departures boards, and per-flight tracks spanning passenger and cargo operations alike. Underneath sits one of aviation's larger sensor meshes - more than 41,000 terrestrial ADS-B receivers fused with space-based ADS-B, datalink and radar feeds - holding over 699 million flights, with roughly 201,000 arrivals tracked in any given day and 12,661 aircraft airborne at research time in August 2026. For a freight team that means a widebody over the Pacific resolves with the same fidelity as a regional shuttle over Kansas.
Get a sample of this dataset to see live boards and track fields laid against your lanes.
What does a sample row look like?
Five arrivals off one airport board - Atlanta's KATL arrivals - captured in a two-hour window:
ident : UPS1302 type : B763
origin : Muhammad Ali Intl (SDF)
board : KATL arrivals depart: 03:38a EDT arrive: 04:34a EDT
ident : CLX8 type : B744
origin : Luis Munoz Marin Intl (SJU)
board : KATL arrivals depart: 12:01a AST arrive: 03:02a EDT
ident : ATN3331 type : B763
origin : Wilmington Air Park (ILN)
board : KATL arrivals depart: 12:44a EDT arrive: 01:44a EDT
ident : THY6044 type : B744
origin : John F Kennedy Intl (JFK)
board : KATL arrivals depart: 10:56p EDT arrive: 01:04a EDT
ident : DAL2430 type : A321
origin : Newark Liberty Intl (EWR)
board : KATL arrivals depart: 02:17a EDT arrive: 04:04a EDTRead the anatomy rather than the individual flights: a UPS freighter out of Louisville, a 747 out of San Juan, a 767 out of Wilmington Air Park, a 747 out of JFK and a domestic A321 from Newark, all on one surface. Tail-level identifiers, local-timezone stamps, scheduled and actual times side by side - the exact columns any delay feature, dwell study or lane baseline needs, with no joining required.
What fields does the dataset include?
Nine documented fields carry every row. Seven are exemplified directly on the airport boards; two live-track fields are defined but carry no board-level example, so their observed values fold under additional fields on request.
How far does coverage reach?
- Geography: Global - more than 41,000 terrestrial ADS-B receivers plus space-based ADS-B, datalink and radar feeds, so oceanic segments resolve alongside continental corridors.
- Temporal: Live positions now, with historical flight records reaching back to 1 January 2011 - fourteen years of lane history, enough to span the pandemic disruption and the e-commerce freight surge inside a single dataset.
- Granularity: Per-flight position and event records, rolling up to airport-level arrivals and departures boards, so the same feed serves a per-tail investigation and a whole-airport congestion view.
How is the data delivered?
API, files, or your warehouse. Daily, weekly, or hourly.
Every delivery ships the complete field dictionary above, the sample rows and the coverage profile mapped to your scope - no integration archaeology on your side.
Who uses this data, and for what?
- Air-network operations analysts watch corridor health: board-level arrivals against schedules expose chronically late banks into hubs like Atlanta or Louisville, freighter and passenger alike.
- Investors and quants read freighter activity as an alternative volume signal between official releases - tail-level counts by operator and lane rather than lagged statistics.
- Competitive-intel and product teams benchmark carrier presence airport by airport, with the freighter-versus-passenger mix visible in the same pull.
- Journalists and academics document specific movements with timestamped, citable track records instead of recollection.
Across all four, the constant is that identification travels with the movement: the ident joins a board sighting to its full track and its place in the historical record without a second lookup table.
What should I know before sampling?
Notes worth having in hand:
- Sensor mesh, not a single tower - Coverage rests on 41,000+ ground receivers plus space-based ADS-B - positions persist where radar never reaches.
- Freighters on the same boards - UPS, FedEx, Atlas Air and peer freighter movements share the arrival and departure surfaces with passenger traffic - cargo needs no separate view.
- History depth - Records reach back to 1 January 2011, so lane baselines span multiple demand cycles inside one dataset.
- Scale on the clock - Over 699 million flights held; roughly 201,000 arrivals tracked per day; 12,661 aircraft airborne at research time.
Where this set stops, neighbors pick up: OpenSky Network's historical state vectors as the openly accessible ADS-B counterpart, BTS Form 41 traffic for monthly carrier-level aggregates, Eurostat's main-airports series for the European mirror, and TAC Index for the rate layer none of the movement sets carry.
Field dictionary
Every field below is documented against real records. The full dictionary ships with the sample.
| field | type | definition | example |
|---|---|---|---|
ident | string | Flight identifier: airline ICAO code plus flight number, or a tail number for non-scheduled movements. | UPS1302 |
type | string | Aircraft type code displayed on airport boards. | B763 |
origin | string | Origin airport with ICAO/IATA codes and name. | Muhammad Ali Intl (SDF) |
destination | string | Destination airport with ICAO/IATA codes and name. | Hartsfield-Jackson Intl (ATL) |
departure_time | datetime | Scheduled or actual departure time with local timezone. | 03:38a EDT |
arrival_time | datetime | Scheduled or actual arrival time with local timezone. | 04:34a EDT |
airborne_count | integer | Site-wide count of currently airborne aircraft shown on the live board. | 12661 |
altitude | integer | Current or last-known altitude on live track pages. | on request |
ground_speed | number | Ground speed reported on live track pages. | on request |
Questions buyers ask
How many flights does the database hold?
More than 699 million flight records, with roughly 201,000 arrivals tracked in a typical day. At research time in August 2026 the live counter read 12,661 aircraft airborne worldwide - a fair snapshot of how dense the position stream runs at any given hour.
Are cargo flights covered as well as passenger flights?
Yes. Freighter operations from UPS, FedEx, Atlas Air and their peers appear on the same arrivals and departures boards and track pages as passenger traffic, identified by the same flight-identifier scheme. Watching cargo lanes requires no separate view.
How far back does the history reach?
Flight records extend back to 1 January 2011. Lane-level baselines therefore cover multiple demand cycles - fuel spikes, pandemic disruption, the e-commerce freight boom - inside one dataset rather than stitched across several.
What does a flight identifier look like?
An airline ICAO code plus flight number - UPS1302, CLX8, ATN3331 - or a tail number for non-scheduled movements. The identifier is the join key that connects an airport-board sighting to its full track and its historical record.
Can a sample be cut to specific airports or carriers?
Yes. Name the airports, carriers or aircraft types you care about and the sample arrives shaped to those lanes, with the complete field dictionary attached. Samples precede any commitment, and the schema you see in the sample is the schema you ship against.
Notes on this record
- Sensor mesh, not a single tower Coverage rests on 41,000+ ground receivers plus space-based ADS-B - positions persist where radar never reaches.
- Freighters on the same boards UPS, FedEx, Atlas Air and peer freighter movements share the arrival and departure surfaces with passenger traffic - cargo needs no separate view.
- History depth Records reach back to 1 January 2011, so lane baselines span multiple demand cycles inside one dataset.
- Scale on the clock Over 699 million flights held; roughly 201,000 arrivals tracked per day; 12,661 aircraft airborne at research time.
See the rows before you pay anything.
Name this dataset and we send real records from it — scoped to the fields you asked for.