Load population and death data, disaggregated by year, state, sex and age.

get_death_population function that allows the user to get a demographic dataset of the population and deaths based on the given parameters.

Usage

get_death_population(
  v_state = "National",
  v_year = "2021",
  v_sex = "Total",
  v_age = c(0, 5, 15, 25, 45, 55, 65, 70),
  age_groups = TRUE
)

Arguments

v_state: Character vector specifying the state(s) that the function will return.
v_year: Numeric vector that specifies the year(s) to return. Must have numbers between 1970 and 2050. Default is 2021.
v_sex: Character vector that selects sex. Options: Female, Male and Total.
v_age: Numeric vector that specifies the age(s) to return.
age_groups: Specifies whether to aggregate the output by age groups.

Value

A demographic dataset based on the selected parameters.

Examples

get_death_population(v_state = c("Aguascalientes", "Campeche"),
                     v_year = c(2021, 2046),
                     v_sex = c("Female", "Total"),
                     age_groups = TRUE)
#> # A tibble: 64 x 8
#>     year state          CVE_GEO sex    age_group population deaths death_rate
#>    <int> <fct>            <int> <chr>  <fct>          <int>  <int>      <dbl>
#>  1  2021 Aguascalientes       1 Female [0,5]          73217    124   0.00169 
#>  2  2021 Aguascalientes       1 Female (5,15]        129266     27   0.000209
#>  3  2021 Aguascalientes       1 Female (15,25]       129438     61   0.000471
#>  4  2021 Aguascalientes       1 Female (25,45]       216476    225   0.00104 
#>  5  2021 Aguascalientes       1 Female (45,55]        82038    299   0.00364 
#>  6  2021 Aguascalientes       1 Female (55,65]        55209    508   0.00920 
#>  7  2021 Aguascalientes       1 Female (65,70]        17276    319   0.0185  
#>  8  2021 Aguascalientes       1 Female (70,Inf]       29851   1733   0.0581  
#>  9  2021 Aguascalientes       1 Total  [0,5]         149230    281   0.00188 
#> 10  2021 Aguascalientes       1 Total  (5,15]        264282     76   0.000288
#> # ... with 54 more rows

get_death_population(v_state = "National",
                     v_year = c(2021, 2046, 2050),
                     v_sex = "Total",
                     age_groups= FALSE)
#> # A tibble: 24 x 8
#>     year state    CVE_GEO   age sex   population deaths death_rate
#>    <int> <fct>      <int> <int> <chr>      <int>  <int>      <dbl>
#>  1  2021 National       0     0 Total    2127321  26649  0.0125   
#>  2  2021 National       0     5 Total    2193584    542  0.000247 
#>  3  2021 National       0    15 Total    2228965   1203  0.000540 
#>  4  2021 National       0    25 Total    2153706   3065  0.00142  
#>  5  2021 National       0    45 Total    1630861   5620  0.00345  
#>  6  2021 National       0    55 Total    1265172   9810  0.00775  
#>  7  2021 National       0    65 Total     809988  14581  0.0180   
#>  8  2021 National       0    70 Total     579843  15887  0.0274   
#>  9  2046 National       0     0 Total    1743438   9000  0.00516  
#> 10  2046 National       0     5 Total    1813726    131  0.0000722
#> # ... with 14 more rows