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This uses data from the wpp2017 package but combines male and female, and converts age groups to lower age limits. If the requested year is not present in the historical data, wpp projections are used.

Usage

wpp_age(countries, years)

Arguments

countries

countries, will return all if not given

years

years, will return all if not given

Value

data frame of age-specific population data

Examples

wpp_age("Italy", c(1990, 2000))
#>    country lower.age.limit year population
#> 1    Italy               0 1990    2822304
#> 2    Italy               0 2000    2637136
#> 3    Italy               5 1990    3023980
#> 4    Italy               5 2000    2739340
#> 5    Italy              10 1990    3561309
#> 6    Italy              10 2000    2831090
#> 7    Italy              15 1990    4319849
#> 8    Italy              15 2000    3073079
#> 9    Italy              20 1990    4605558
#> 10   Italy              20 2000    3604592
#> 11   Italy              25 1990    4569835
#> 12   Italy              25 2000    4310742
#> 13   Italy              30 1990    4089269
#> 14   Italy              30 2000    4585507
#> 15   Italy              35 1990    3877176
#> 16   Italy              35 2000    4550292
#> 17   Italy              40 1990    4012685
#> 18   Italy              40 2000    4048479
#> 19   Italy              45 1990    3442232
#> 20   Italy              45 2000    3814334
#> 21   Italy              50 1990    3667739
#> 22   Italy              50 2000    3917415
#> 23   Italy              55 1990    3406176
#> 24   Italy              55 2000    3321124
#> 25   Italy              60 1990    3242609
#> 26   Italy              60 2000    3462994
#> 27   Italy              65 1990    2950508
#> 28   Italy              65 2000    3092828
#> 29   Italy              70 1990    1757407
#> 30   Italy              70 2000    2746488
#> 31   Italy              75 1990    1899219
#> 32   Italy              75 2000    2234744
#> 33   Italy              80 1990    1178560
#> 34   Italy              80 2000    1103674
#> 35   Italy              85 1990     516304
#> 36   Italy              85 2000     861254
#> 37   Italy              90 1990     155466
#> 38   Italy              90 2000     299811
#> 39   Italy              95 1990      26710
#> 40   Italy              95 2000      53950
#> 41   Italy             100 1990       2231
#> 42   Italy             100 2000       4848