Sex ratio

Computes the sex ratio (males per 100 females) per province and year from age-disaggregated population data. Requires the female/male columns get_ine_population() provides; get_ine_demog()'s population_total indicator has no sex breakdown and cannot be used here.

sex_ratio(pop_df, by_age = FALSE)

Arguments

pop_df

Population tibble as returned by get_ine_population()$data (columns nuts3_code, province_name, year, age, female, male).

by_age

Logical, keep the age column and compute a sex ratio per age (default FALSE, which aggregates over all ages first).

Value

A tibble with nuts3_code, province_name, year (and age if by_age = TRUE), sex_ratio.

Examples

pop <- tibble::tibble(
  nuts3_code = "ES111", province_name = "A Coruna", year = 2023,
  age = c(0, 1), female = c(100, 95), male = c(105, 100)
)
sex_ratio(pop)
#> # A tibble: 1 × 4
#>   nuts3_code province_name  year sex_ratio
#>   <chr>      <chr>         <dbl>     <dbl>
#> 1 ES111      A Coruna       2023      105.
sex_ratio(pop, by_age = TRUE)
#> # A tibble: 2 × 5
#>   nuts3_code province_name  year   age sex_ratio
#>   <chr>      <chr>         <dbl> <dbl>     <dbl>
#> 1 ES111      A Coruna       2023     0      105 
#> 2 ES111      A Coruna       2023     1      105.