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This function returns a tibble with available entities from the World Bank International Debt Statistics (IDS) API. Each row provides details on entities, including their unique identifiers, names, and types.

Usage

ids_list_entities()

Value

A tibble containing the available entities and their attributes:

entity_id

ISO 3166-1 alpha-3 code of the entity (e.g., "ZMB").

entity_name

The standardized name of the entity (e.g., "Zambia").

entity_iso2code

ISO 3166-1 alpha-2 code of the entity (e.g., "ZM").

entity_type

The type of entity (e.g., "Country", "Region").

capital_city

The capital city of the entity (e.g., "Lusaka").

region_id

The unique identifier for the region (e.g., "SSF").

region_iso2code

ISO 3166-1 alpha-2 code of the region (e.g., "ZG").

region_name

The name of the region (e.g., "Sub-Saharan Africa").

admin_region_id

The unique identifier for the administrative region (e.g., "SSA").

admin_region_iso2code

The ISO 3166-1 alpha-2 code for the administrative region (e.g., "ZF").

admin_region_name

The name of the administrative region (e.g., "Sub-Saharan Africa (excluding high income)").

lending_type_id

The unique identifier for the lending type (e.g., "IDX").

lending_type_iso2code

ISO code for the lending type (e.g., "XI").

lending_type_name

The name of the lending type (e.g., "IDA").

Examples

ids_list_entities()
#> # A tibble: 134 × 17
#>    entity_id entity_iso2code entity_type capital_city entity_name  region_id
#>    <chr>     <chr>           <chr>       <chr>        <chr>        <chr>    
#>  1 AFG       AF              Country     Kabul        Afghanistan  MEA      
#>  2 AGO       AO              Country     Luanda       Angola       SSF      
#>  3 ALB       AL              Country     Tirane       Albania      ECS      
#>  4 ARG       AR              Country     Buenos Aires Argentina    LCN      
#>  5 ARM       AM              Country     Yerevan      Armenia      ECS      
#>  6 AZE       AZ              Country     Baku         Azerbaijan   ECS      
#>  7 BDI       BI              Country     Bujumbura    Burundi      SSF      
#>  8 BEN       BJ              Country     Porto-Novo   Benin        SSF      
#>  9 BFA       BF              Country     Ouagadougou  Burkina Faso SSF      
#> 10 BGD       BD              Country     Dhaka        Bangladesh   SAS      
#> # ℹ 124 more rows
#> # ℹ 11 more variables: region_iso2code <chr>, region_name <chr>,
#> #   admin_region_id <chr>, admin_region_iso2code <chr>,
#> #   admin_region_name <chr>, income_level_id <chr>,
#> #   income_level_iso2code <chr>, income_level_name <chr>,
#> #   lending_type_id <chr>, lending_type_iso2code <chr>, lending_type_name <chr>