Retrieves a list of curated data tables from Argentina's official population censuses based on the specified filters.
Arguments
- year
Integer. Census year (1970 or 1980). Default is 1970.
- id
Character vector. Specific Table IDs to retrieve (e.g., "1970_00_estructura_01"). If specified, this takes precedence over topic filters.
- topic
Character vector. Keywords to filter topics (e.g., "migracion", c("vivienda", "material")). Matches are case-insensitive.
- geo_code
Character. Geographic code (e.g., "02" for CABA).
Examples
# 1. Retrieve a specific table by its ID
# Note: 'year' is still required to locate the file in the correct folder
my_table <- get_census(year = 1970, id = "1970_00_estructura_01")
my_table
#> $`1970_00_estructura_01`
#> # A tibble: 54 × 3
#> grupo_de_edad sexo poblacion
#> <chr> <chr> <chr>
#> 1 0-4 Total 2355300
#> 2 0-4 Varones 1196950
#> 3 0-4 Mujeres 1158350
#> 4 5-9 Total 2297000
#> 5 5-9 Varones 1163050
#> 6 5-9 Mujeres 1133950
#> 7 10-14 Total 2201150
#> 8 10-14 Varones 1114300
#> 9 10-14 Mujeres 1086850
#> 10 15-19 Total 2098700
#> # ℹ 44 more rows
#>
# 2. Retrieve tables by topic (e.g., all tables about 'habitacional')
housing_data <- get_census(year = 1970, topic = "habitacional")
# Explore the list and extract the first table
housing_data[[1]]
#> # A tibble: 5 × 4
#> regimen_de_tenencia hogares personas cuartos
#> <chr> <chr> <chr> <chr>
#> 1 Propietario 3553250 13778700 11197900
#> 2 Inquilino o arrendatario 1380950 4692800 3305350
#> 3 Ocupante en relación de dependencia 353300 1402500 880050
#> 4 Ocupante gratuito 575650 2271150 1196500
#> 5 En otro carácter 192950 816350 419800