Skip to contents

Polity categories and regional classifications

Source: R/datasets.R
polities_cats.Rd

Reference table for countries and political entities (polities) with identifiers from multiple data sources and assignments to various regional groupings used in the literature and international databases.

Usage

polities_cats

Format

A tibble where each row corresponds to one polity (country or territory). It contains the following columns:

  • polity_code: ISO 3166-1 alpha-3 country code used as the primary identifier (e.g., "AFG", "ALB").

  • polity_name: Common country or territory name.

  • V1: Internal row index from the source table.

  • code: Numeric FAOSTAT country code.

  • iso3c: ISO 3166-1 alpha-3 code (character; may duplicate polity_code or differ for aggregates).

  • FAOSTAT_name: Country name as used in FAOSTAT.

  • EU27: Logical flag; TRUE if the polity is a member of the EU27.

  • name: Country name used in other external databases.

  • eia: Country name or code used by the US Energy Information Administration (EIA).

  • iea: Country identifier used by the International Energy Agency (IEA).

  • water_code: Numeric code used in water statistics datasets.

  • water_area: Country/area name used in water statistics.

  • baci: Numeric BACI trade database country code.

  • fish: Numeric code used in fisheries datasets.

  • region_code: Numeric regional grouping code.

  • cbs: Logical flag; TRUE if the polity is included in the CBS dataset.

  • fabio_code: Numeric country code used in the FABIO database.

  • ADB_Region: Asian Development Bank regional classification.

  • region: General world region (e.g., "South Asia", "Eastern Europe").

  • uISO3c: Numeric Unicode / UN M49 country code.

  • Lassaletta: Country grouping used in Lassaletta et al. nitrogen flow studies.

  • region_krausmann: Regional grouping from Krausmann et al. biomass flow accounting.

  • region_HANPP: Regional grouping used in human appropriation of net primary production (HANPP) studies.

  • region_krausmann2: Alternative Krausmann regional grouping.

  • region_UN_sub: UN sub-regional classification (M49 sub-region).

  • region_UN: UN macro-regional classification (M49 region).

  • region_ILO1: ILO primary regional grouping.

  • region_ILO2: ILO secondary regional grouping.

  • region_ILO3: ILO tertiary regional grouping.

  • region_IEA: IEA regional grouping.

  • region_IPCC: IPCC regional grouping used in climate assessments.

  • region_labour: Labour-focused regional grouping.

  • region_labour_agg: Aggregated labour-focused regional grouping.

  • region_labour_mech: Labour mechanisation regional grouping.

  • region_test: Experimental/test regional grouping (may be incomplete).

Source

Compiled from FAOSTAT, UN M49, ILO, IEA, and other international statistical sources.

Note

Five trailing columns containing only Excel #REF! errors in the source CSV are dropped at load time and are not part of this dataset.

Examples

head(polities_cats)
#> # A tibble: 6 × 35
#>   polity_code polity_name    V1  code iso3c FAOSTAT_name EU27  name  eia   iea  
#>   <chr>       <chr>       <dbl> <dbl> <chr> <chr>        <lgl> <chr> <chr> <chr>
#> 1 AFG         Afghanistan     2     2 AFG   Afghanistan  FALSE Afgh… Afgh… 0    
#> 2 ALB         Albania         3     3 ALB   Albania      FALSE Alba… Alba… Alba…
#> 3 DZA         Algeria         4     4 DZA   Algeria      FALSE Alge… Alge… Alge…
#> 4 AGO         Angola          7     7 AGO   Angola       FALSE Ango… Ango… Ango…
#> 5 ATG         Antigua an…     8     8 ATG   Antigua and… FALSE Anti… Anti… 0    
#> 6 ARG         Argentina       9     9 ARG   Argentina    FALSE Arge… Arge… Arge…
#> # ℹ 25 more variables: water_code <dbl>, water_area <chr>, baci <dbl>,
#> #   fish <dbl>, region_code <dbl>, cbs <lgl>, fabio_code <dbl>,
#> #   ADB_Region <chr>, region <chr>, uISO3c <dbl>, Lassaletta <chr>,
#> #   region_krausmann <chr>, region_HANPP <chr>, region_krausmann2 <chr>,
#> #   region_UN_sub <chr>, region_UN <chr>, region_ILO1 <chr>, region_ILO2 <chr>,
#> #   region_ILO3 <chr>, region_IEA <chr>, region_IPCC <chr>,
#> #   region_labour <chr>, region_labour_agg <chr>, region_labour_mech <chr>, …