A tidy lookup table mapping country names to a world region and a finer
subregion, used by recode_region() / add_region() to turn a country
column into regions. Each country also carries its ISO 3166-1 codes, so a
result can be reported against the standard.
Format
A tibble with 255 rows and 5 columns, one per entry in ISO 3166-1 that has a UN M49 grouping, plus Kosovo:
- country
Country name.
- iso2
ISO 3166-1 alpha-2 code (e.g.
"DE").NAfor Kosovo, which has no code of its own.- iso3
ISO 3166-1 alpha-3 code (e.g.
"DEU").- region
World region (Africa, Asia, Europe, Middle East, North America, Oceania, South America).
- subregion
Finer subregion (e.g. Western Europe, East Asia).
Note that Namibia's alpha-2 code is the two letters "NA", not a missing
value, which is worth knowing before filtering on the column.
Source
Countries and codes are ISO 3166-1. The regions are the package's
own grouping, which follows the UN M49 sub-regions but treats the Middle
East as a region and splits the Americas north and south, because that is
how consumer research reports them. See data-raw/make_country_region.R.
See also
recode_region(), add_region().
Other data:
currency_rates,
podracing_survey,
shopping_survey
Examples
head(country_region)
#> # A tibble: 6 × 5
#> country iso2 iso3 region subregion
#> <chr> <chr> <chr> <chr> <chr>
#> 1 Algeria DZ DZA Africa Africa
#> 2 Angola AO AGO Africa Africa
#> 3 Benin BJ BEN Africa Africa
#> 4 Botswana BW BWA Africa Africa
#> 5 Burkina Faso BF BFA Africa Africa
#> 6 Burundi BI BDI Africa Africa
recode_region("Germany")
#> [1] "Europe"