International airline city-pair passengers to and from Australia

Monthly inbound and outbound passenger counts on international city-pair routes between Australian airports and overseas cities, from 2016 onward.

Usage

au_int_routes

Format

Data frame with columns:

origin_city

Name of the Australian city/airport.

dest_city

Name of the overseas city/airport.

dest_country

Destination country for the overseas airport.

n_passengers_in

Number of revenue passengers arriving in Australia on the route in the given month.

n_passengers_out

Number of revenue passengers departing Australia on the route in the given month.

year

Calendar year.

month

Calendar month.

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 total inbound passengers by country
au_int_routes |>
dplyr::group_by(dest_country) |>
dplyr::summarise(total_in = sum(n_passengers_in, na.rm = TRUE)) |>
dplyr::arrange(desc(total_in)) |>
dplyr::slice_head(n = 10)
#> # A tibble: 10 × 2
#>    dest_country         total_in
#>    <chr>                   <dbl>
#>  1 New Zealand          26657876
#>  2 Singapore            23188329
#>  3 Indonesia            13330385
#>  4 United Arab Emirates 13124085
#>  5 USA                  11097421
#>  6 China                10659929
#>  7 Hong Kong (SAR)       8643434
#>  8 Malaysia              8604349
#>  9 Thailand              5803042
#> 10 Japan                 5652710