United Nations Statistical Division and World Bank Development Indicator regions
regions
un_global_code
numeric
un_global_name
character
un_region_code
numeric
un_region_name
character
un_sub_region_code
numeric
un_sub_region_name
character
un_intermediate_region_code
numeric
un_intermediate_region_name
character
un_country_or_area
character
un_m49_code
character
iso3
character
un_least_developed_countries_ldc
numeric
un_land_locked_developing_countries_lldc
numeric
un_small_island_developing_states_sids
numeric
un_developed_or_developing_countries
character
iso
character
iso_numeric
numeric
fips
character
country
character
geonameid
numeric
wb_region
World Bank region, character
wb_income
World Bank income, character
data.frame
regions#> # A tibble: 249 x 22 #> un_global_code un_global_name un_region_code un_region_name un_sub_region_cā¦ #> <int> <chr> <int> <chr> <int> #> 1 1 World 2 Africa 15 #> 2 1 World 2 Africa 15 #> 3 1 World 2 Africa 15 #> 4 1 World 2 Africa 15 #> 5 1 World 2 Africa 15 #> 6 1 World 2 Africa 15 #> 7 1 World 2 Africa 15 #> 8 1 World 2 Africa 202 #> 9 1 World 2 Africa 202 #> 10 1 World 2 Africa 202 #> # ... with 239 more rows, and 17 more variables: un_sub_region_name <chr>, #> # un_intermediate_region_code <int>, un_intermediate_region_name <chr>, #> # un_country_or_area <chr>, un_m49_code <int>, iso3 <chr>, #> # un_least_developed_countries_ldc <int>, #> # un_land_locked_developing_countries_lldc <int>, #> # un_small_island_developing_states_sids <int>, #> # un_developed_or_developing_countries <chr>, iso <chr>, iso_numeric <chr>, #> # fips <chr>, country <chr>, geonameid <int>, wb_region <chr>, #> # wb_income <chr>