Age dependency ratios

Computes youth, old-age, and total age dependency ratios per province and year from age-disaggregated population data. Requires an age breakdown, so it operates on get_ine_population()'s output, not get_ine_demog()'s population_total indicator (which has no age column and cannot be used here).

age_dependency_ratio(pop_df, young_max = 14L, old_min = 65L)

Arguments

pop_df

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

young_max

Integer, the maximum age counted as "young" (default 14, i.e. ages 0-14).

old_min

Integer, the minimum age counted as "old" (default 65).

Value

A tibble with nuts3_code, province_name, year, youth_dependency_ratio, old_age_dependency_ratio, total_dependency_ratio (all per 100 working-age population).

Examples

pop <- tibble::tibble(
  nuts3_code = "ES111", province_name = "A Coruna", year = 2023,
  age = c(0, 20, 70), total = c(100, 300, 150)
)
age_dependency_ratio(pop)
#> # A tibble: 1 × 6
#>   nuts3_code province_name  year youth_dependency_ratio old_age_dependency_ratio
#>   <chr>      <chr>         <dbl>                  <dbl>                    <dbl>
#> 1 ES111      A Coruna       2023                   33.3                       50
#> # ℹ 1 more variable: total_dependency_ratio <dbl>