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Correspondence table between ECOICOP 2018 (also referred to as "ECOICOP 1") and COICOP 2018. Note that COICOP 2018 corresponds to ECOICOP 2.

Usage

correspondence_ecoicop16_coicop18

Format

A data frame with 776 rows and 5 columns containing the variables

  • "ecoicop_code" (ECOICOP 2016 code),

  • "ecoicop_description" (ECOICOP 2016 description),

  • "ecoicop_comments" (ECOICOP 2016 classification comments),

  • "coicop18_code " (COICOP 2018 code),

  • "coicop18_description" (COICOP 2018 description),

Source

See Statistics Lithuania for the correspondence table, as well as the United Nattions Statistics Division for more information on ECOICOP 2016 and COICOP 2018, respectively.

References

There are no references for Rd macro \insertAllCites on this help page.

Examples

correspondence_ecoicop16_coicop18 |> dim()
#> [1] 776   5
correspondence_ecoicop16_coicop18 |> names()
#> [1] "ecoicop_code"         "ecoicop_description"  "ecoicop_comments"    
#> [4] "coicop18_code"        "coicop18_description"
correspondence_ecoicop16_coicop18 |> head()
#> # A tibble: 6 × 5
#>   ecoicop_code ecoicop_description              ecoicop_comments coicop18_code
#>   <chr>        <chr>                            <chr>            <chr>        
#> 1 01           FOOD AND NON-ALCOHOLIC BEVERAGES NA               01           
#> 2 01           FOOD AND NON-ALCOHOLIC BEVERAGES NA               07           
#> 3 01           FOOD AND NON-ALCOHOLIC BEVERAGES NA               07.4.9.2     
#> 4 01.1         FOOD                             NA               01.1         
#> 5 01.1         FOOD                             NA               01.3         
#> 6 01.1.1       Bread and cereals (ND)           NA               01.1.1       
#> # ℹ 1 more variable: coicop18_description <chr>