Validate your geo codes, pair them with the appropriate standard typology, look up potential causes of invalidity in the EU correspondence tables, and look up the appropriate geographical codes in the other (target) typology. For example, validate geo codes in the 'NUTS2016' typology and translate them to the now obsolete the 'NUTS2010' typology to join current data with historical data sets.

recode_nuts(dat, geo_var = "geo", nuts_year = 2016)



A data frame with a 3-5 character geo_var variable to be validated.


Defaults to "geo". The variable that contains the 3-5 character geo codes to be validated.


The year of the NUTS typology to use. You can select any valid NUTS definition, i.e. 1999, 2003, 2006, 2010, 2013, the currently used 2016 and the already announced and defined 2021. Defaults to the current typology in force, which is 2016.


The original data frame with a 'geo_var' column is extended with a 'typology' column that states in which typology is the 'geo_var' a valid code. For invalid codes, looks up potential reasons of invalidity and adds them to the 'typology_change' column, and at last it adds a column of character vector containing the desired codes in the target typology, for example, in the NUTS2013 typology.

See also

Other recode functions: get_country_code()


{ foo <- data.frame ( geo = c("FR", "DEE32", "UKI3" , "HU12", "DED", "FRK"), values = runif(6, 0, 100 ), stringsAsFactors = FALSE ) recode_nuts(foo, nuts_year = 2013) }
#> geo values typology typology_change #> 1 FR 8.0750138 country unchanged #> 2 UKI3 60.0760886 nuts_level_2 unchanged #> 3 DED 0.7399441 nuts_level_1 unchanged #> 4 FRK 46.6393497 nuts_level_1 Recoded from FRK [used in NUTS 2016-2021] #> 5 HU12 15.7208442 nuts_level_2 Used in NUTS 2016-2021 #> 6 DEE32 83.4333037 nuts_level_3 Used in NUTS 1999-2003 #> code_2013 #> 1 FR #> 2 UKI3 #> 3 DED #> 4 FR7 #> 5 <NA> #> 6 <NA>