International airline traffic by carrier to and from Australia

Monthly flights, passenger and seat counts for international airlines operating services to and from Australia, grouped by airline and country of service, from 2016 onward.

Usage

au_int_airlines

Format

Data frame with columns:

airline

Airline name.

country

Country of service

n_flights_in

Number of flights inbound to Australia in the month.

n_passengers_in

Passengers carried inbound to Australia on those flights. For some airlines this includes passengers transiting via Australia.

n_seats_in

Available seats inbound to Australia.

n_flights_out

Number of flights outbound from Australia in the month.

n_passengers_out

Passengers carried outbound from Australia.

year

Calendar year.

month

Calendar month (1–12).

Source

Bureau of Infrastructure and Transport Research Economics (BITRE). Downloaded from https://www.bitre.gov.au/publications/ongoing/international_airline_activity-time_series.

Examples

# Top 10 carriers by total inbound passengers since 2016
au_int_airlines |>
  dplyr::group_by(airline) |>
  dplyr::summarise(total_in = sum(n_passengers_in, na.rm = TRUE)) |>
  dplyr::arrange(dplyr::desc(total_in)) |>
  dplyr::slice_head(n = 10)
#> # A tibble: 10 × 2
#>    airline                total_in
#>    <chr>                     <dbl>
#>  1 Qantas Airways         27376794
#>  2 Jetstar                15181678
#>  3 Singapore Airlines     13468058
#>  4 Emirates               11589878
#>  5 Air New Zealand        10589764
#>  6 Virgin Australia        7299346
#>  7 Cathay Pacific Airways  5980570
#>  8 Qatar Airways           4769969
#>  9 AirAsia X               4113463
#> 10 Malaysia Airlines       3881610