List all countries supported by the World Bank API.
Usage
wb_country(
country = NULL,
lang = "en",
region = NULL,
income_level = NULL,
lending_type = NULL
)Arguments
- country
(
NULL|character())
Country to query. DefaultNULL. IfNULL, all countries are returned.- lang
(
character(1))
Language to query. Default"en".- region
(
NULL|character())
Region codes to filter by, as listed in thecodecolumn ofwb_region(). DefaultNULL.- income_level
(
NULL|character())
Income level IDs to filter by, as listed bywb_income_level(). DefaultNULL.- lending_type
(
NULL|character())
Lending type IDs to filter by, as listed bywb_lending_type(). DefaultNULL.
Value
A data.frame() with the available countries. The columns are:
country_id: The country ID.country_code: The country code.country_name: The country name.region_id: The region ID.region_code: The region code.region_value: The region value.admin_region_id: The admin region ID.admin_region_code: The admin region code.admin_region_value: The admin region value.income_level_id: The income level ID.income_level_code: The income level code.income_level_value: The income level value.lending_type_id: The lending type ID.lending_type_code: The lending type code.lending_type_value: The lending type value.capital_city: The capital city.longitude: The longitude.latitude: The latitude.
See also
Other indicators data:
wb_bulk(),
wb_data(),
wb_income_level(),
wb_indicator(),
wb_language(),
wb_lending_type(),
wb_region(),
wb_search(),
wb_source(),
wb_topic()
Examples
# \donttest{
country <- wb_country()
head(country)
#> country_id country_code country_name region_id region_code
#> 1 ABW AW Aruba LCN ZJ
#> 2 AFE ZH Africa Eastern and Southern NA NA
#> 3 AFG AF Afghanistan MEA ZQ
#> 4 AFR A9 Africa NA NA
#> 5 AFW ZI Africa Western and Central NA NA
#> 6 AGO AO Angola SSF ZG
#> region_value admin_region_id
#> 1 Latin America & Caribbean <NA>
#> 2 Aggregates <NA>
#> 3 Middle East, North Africa, Afghanistan & Pakistan MNA
#> 4 Aggregates <NA>
#> 5 Aggregates <NA>
#> 6 Sub-Saharan Africa SSA
#> admin_region_code
#> 1 <NA>
#> 2 <NA>
#> 3 XQ
#> 4 <NA>
#> 5 <NA>
#> 6 ZF
#> admin_region_value
#> 1 <NA>
#> 2 <NA>
#> 3 Middle East, North Africa, Afghanistan & Pakistan (excluding high income)
#> 4 <NA>
#> 5 <NA>
#> 6 Sub-Saharan Africa (excluding high income)
#> income_level_id income_level_code income_level_value lending_type_id
#> 1 HIC XD High income LNX
#> 2 NA NA Aggregates <NA>
#> 3 LIC XM Low income IDX
#> 4 NA NA Aggregates <NA>
#> 5 NA NA Aggregates <NA>
#> 6 LMC XN Lower middle income IBD
#> lending_type_code lending_type_value capital_city longitude latitude
#> 1 XX Not classified Oranjestad -70.0167 12.51670
#> 2 <NA> Aggregates <NA> NA NA
#> 3 XI IDA Kabul 69.1761 34.52280
#> 4 <NA> Aggregates <NA> NA NA
#> 5 <NA> Aggregates <NA> NA NA
#> 6 XF IBRD Luanda 13.2420 -8.81155
# low income countries in Sub-Saharan Africa
wb_country(region = "SSF", income_level = "LIC")
#> country_id country_code country_name region_id region_code
#> 1 BDI BI Burundi SSF ZG
#> 2 BFA BF Burkina Faso SSF ZG
#> 3 CAF CF Central African Republic SSF ZG
#> 4 COD CD Congo, Dem. Rep. SSF ZG
#> 5 ERI ER Eritrea SSF ZG
#> 6 ETH ET Ethiopia SSF ZG
#> 7 GMB GM Gambia, The SSF ZG
#> 8 GNB GW Guinea-Bissau SSF ZG
#> 9 LBR LR Liberia SSF ZG
#> 10 MDG MG Madagascar SSF ZG
#> 11 MLI ML Mali SSF ZG
#> 12 MOZ MZ Mozambique SSF ZG
#> 13 MWI MW Malawi SSF ZG
#> 14 NER NE Niger SSF ZG
#> 15 RWA RW Rwanda SSF ZG
#> 16 SDN SD Sudan SSF ZG
#> 17 SLE SL Sierra Leone SSF ZG
#> 18 SOM SO Somalia, Fed. Rep. SSF ZG
#> 19 SSD SS South Sudan SSF ZG
#> 20 TCD TD Chad SSF ZG
#> 21 UGA UG Uganda SSF ZG
#> region_value admin_region_id admin_region_code
#> 1 Sub-Saharan Africa SSA ZF
#> 2 Sub-Saharan Africa SSA ZF
#> 3 Sub-Saharan Africa SSA ZF
#> 4 Sub-Saharan Africa SSA ZF
#> 5 Sub-Saharan Africa SSA ZF
#> 6 Sub-Saharan Africa SSA ZF
#> 7 Sub-Saharan Africa SSA ZF
#> 8 Sub-Saharan Africa SSA ZF
#> 9 Sub-Saharan Africa SSA ZF
#> 10 Sub-Saharan Africa SSA ZF
#> 11 Sub-Saharan Africa SSA ZF
#> 12 Sub-Saharan Africa SSA ZF
#> 13 Sub-Saharan Africa SSA ZF
#> 14 Sub-Saharan Africa SSA ZF
#> 15 Sub-Saharan Africa SSA ZF
#> 16 Sub-Saharan Africa SSA ZF
#> 17 Sub-Saharan Africa SSA ZF
#> 18 Sub-Saharan Africa SSA ZF
#> 19 Sub-Saharan Africa SSA ZF
#> 20 Sub-Saharan Africa SSA ZF
#> 21 Sub-Saharan Africa SSA ZF
#> admin_region_value income_level_id income_level_code
#> 1 Sub-Saharan Africa (excluding high income) LIC XM
#> 2 Sub-Saharan Africa (excluding high income) LIC XM
#> 3 Sub-Saharan Africa (excluding high income) LIC XM
#> 4 Sub-Saharan Africa (excluding high income) LIC XM
#> 5 Sub-Saharan Africa (excluding high income) LIC XM
#> 6 Sub-Saharan Africa (excluding high income) LIC XM
#> 7 Sub-Saharan Africa (excluding high income) LIC XM
#> 8 Sub-Saharan Africa (excluding high income) LIC XM
#> 9 Sub-Saharan Africa (excluding high income) LIC XM
#> 10 Sub-Saharan Africa (excluding high income) LIC XM
#> 11 Sub-Saharan Africa (excluding high income) LIC XM
#> 12 Sub-Saharan Africa (excluding high income) LIC XM
#> 13 Sub-Saharan Africa (excluding high income) LIC XM
#> 14 Sub-Saharan Africa (excluding high income) LIC XM
#> 15 Sub-Saharan Africa (excluding high income) LIC XM
#> 16 Sub-Saharan Africa (excluding high income) LIC XM
#> 17 Sub-Saharan Africa (excluding high income) LIC XM
#> 18 Sub-Saharan Africa (excluding high income) LIC XM
#> 19 Sub-Saharan Africa (excluding high income) LIC XM
#> 20 Sub-Saharan Africa (excluding high income) LIC XM
#> 21 Sub-Saharan Africa (excluding high income) LIC XM
#> income_level_value lending_type_id lending_type_code lending_type_value
#> 1 Low income IDX XI IDA
#> 2 Low income IDX XI IDA
#> 3 Low income IDX XI IDA
#> 4 Low income IDX XI IDA
#> 5 Low income IDX XI IDA
#> 6 Low income IDX XI IDA
#> 7 Low income IDX XI IDA
#> 8 Low income IDX XI IDA
#> 9 Low income IDX XI IDA
#> 10 Low income IDX XI IDA
#> 11 Low income IDX XI IDA
#> 12 Low income IDX XI IDA
#> 13 Low income IDX XI IDA
#> 14 Low income IDX XI IDA
#> 15 Low income IDX XI IDA
#> 16 Low income IDX XI IDA
#> 17 Low income IDX XI IDA
#> 18 Low income IDX XI IDA
#> 19 Low income IDX XI IDA
#> 20 Low income IDX XI IDA
#> 21 Low income IDX XI IDA
#> capital_city longitude latitude
#> 1 Bujumbura 29.36390 -3.378400
#> 2 Ouagadougou -1.53395 12.360500
#> 3 Bangui 21.64070 5.630560
#> 4 Kinshasa 15.32220 -4.325000
#> 5 Asmara 38.91830 15.331500
#> 6 Addis Ababa 38.74680 9.022740
#> 7 Banjul -16.58850 13.449500
#> 8 Bissau -15.18040 11.803700
#> 9 Monrovia -10.79570 6.300390
#> 10 Antananarivo 45.71670 -20.466700
#> 11 Bamako -7.50034 13.566700
#> 12 Maputo 32.57130 -25.966400
#> 13 Lilongwe 33.77030 -13.989900
#> 14 Niamey 2.10730 13.514000
#> 15 Kigali 30.05870 -1.953250
#> 16 Khartoum 32.53630 15.593200
#> 17 Freetown -13.21340 8.482100
#> 18 Mogadishu 45.32540 2.075150
#> 19 Juba 31.60000 4.850000
#> 20 N'Djamena 15.04450 12.104800
#> 21 Kampala 32.57290 0.314269
# }