Get FSO population (females at 'fertile' age)

Usage

get_population_data(
  number_fso,
  year_first,
  year_last,
  age_fert_min,
  age_fert_max,
  spatial_code,
  spatial_unit,
  binational = TRUE
)

Arguments

number_fso: character, number of FSO table (STAT-TAB)
year_first: numeric, first year.
year_last: numeric, last year.
age_fert_min: numeric, minimum age (of 'fertile age').
age_fert_max: numeric, maximum age (of 'fertile age').
spatial_code: character, vector, official FSO codes.
spatial_unit: character, vector, spatial unit names (free choice).
binational: boolean, TRUE indicates that projections discriminate between two groups of nationalities. FALSE indicates that the projection is run without distinguishing between nationalities.

Value

female population at 'fertile age' at the end of the year, tibble (spatial_unit, year, age, pop), with or without nat (nationality)

Examples

get_population_data(
  number_fso = "px-x-0102010000_101",
  year_first = 2020,
  year_last = 2023,
  age_fert_min = 15,
  age_fert_max = 49,
  spatial_code = c("0261", "4566", "4001"),
  spatial_unit = c("Stadt Zuerich", "Frauenfeld", "Aarau"),
  binational = TRUE
)
#> # A tibble: 840 × 5
#>     year spatial_unit nat     age n_pop
#>    <dbl> <chr>        <chr> <dbl> <dbl>
#>  1  2020 Aarau        ch       15    64
#>  2  2020 Aarau        ch       16    69
#>  3  2020 Aarau        ch       17    72
#>  4  2020 Aarau        ch       18    64
#>  5  2020 Aarau        ch       19    68
#>  6  2020 Aarau        ch       20    69
#>  7  2020 Aarau        ch       21    78
#>  8  2020 Aarau        ch       22    84
#>  9  2020 Aarau        ch       23    89
#> 10  2020 Aarau        ch       24   134
#> # ℹ 830 more rows