Change age groups in population data — pop

This changes population data to have age groups with the given age_limits, extrapolating linearly between age groups (if more are requested than available) and summing populations (if fewer are requested than available)

Usage

pop_age(
  pop,
  age_limits = NULL,
  pop_age_column = "lower.age.limit",
  pop_column = "population",
  ...,
  age.limits = deprecated(),
  pop.age.column = deprecated(),
  pop.column = deprecated()
)

Arguments

pop: a data frame with columns indicating lower age limits and population sizes (see 'pop_age_column' and 'pop_column')
age_limits: lower age limits of age groups to extract; if NULL (default), the population data is returned unchanged
pop_age_column: column in the 'pop' data frame indicating the lower age group limit
pop_column: column in the 'pop' data frame indicating the population size
...: ignored
age.limits, pop.age.column, pop.column: Use the underscore versions (e.g., age_limits) instead.

Value

data frame of age-specific population data

Examples

ages_it_2015 <- wpp_age("Italy", 2015)

# Modify the age data.frame to get age groups of 10 years instead of 5
pop_age(ages_it_2015, age_limits = seq(0, 100, by = 10))
#>    lower.age.limit population
#> 1                0    5364003
#> 2               10    5592457
#> 3               20    5961399
#> 4               30    7291448
#> 5               40    9506109
#> 6               50    8773851
#> 7               60    7351345
#> 8               70    5689656
#> 9               80    3300856
#> 10              90     655885
#> 11             100      17203

# The function will also automatically interpolate if necessary
pop_age(ages_it_2015, age_limits = c(0, 18, 40, 65))
#> Warning: Not all age groups represented in population data (5-year age band).
#> ℹ Linearly estimating age group sizes from the 5-year bands.
#>   lower.age.limit population
#> 1               0    9841066
#> 2              18   14368241
#> 3              40   21988054
#> 4              65   13306851