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Estimated domestic overnight trips to Australian SA2 areas by month and stopover activity. The data contain only observations with non-zero trip estimates and non-zero survey sample sizes.

Usage

tourism_activity

Format

A tibble with 320,188 rows and 6 variables: * **year**: Calendar year, from 2014 to 2024. * **month**: Ordered factor giving the month returned from the trip. * **sa2_code_tra**: Integer SA2 code used by Tourism Research Australia. This can be joined to tourism_region. * **stop_activity**: Integer activity code that can be joined to tourism_activity_name. * **trips**: Estimated number of overnight trips, in thousands. * **n_sample**: Number of survey responses supporting the estimate.

Details

Records for which either trips or n_sample equals zero are excluded. Estimates with small sample sizes should be interpreted with appropriate caution.

References

Tourism Research Australia: https://www.tra.gov.au

Examples

data(tourism_activity)
head(tourism_activity)
#> # A tibble: 6 × 6
#>    year month   sa2_code_tra stop_activity trips n_sample
#>   <int> <ord>          <int>         <int> <dbl>    <int>
#> 1  2014 January        11009             1 15.6         2
#> 2  2014 January        11009             3  2.13        2
#> 3  2014 January        11009             5  2.13        2
#> 4  2014 January        11009             6 19.2         5
#> 5  2014 January        11014             6  6.86        2
#> 6  2014 January        11014             7  1.34        1