Reference metadata mapping each country to its region, income group, and other World Bank classification metadata.
Format
A data frame with 265 rows and 31 columns, including
Country Code, Short Name, Table Name, Long Name, Region, and
Income Group.
Source
World Bank Open Data (https://data.worldbank.org).
Examples
# \donttest{
head(country_code)
#> Country Code Short Name Table Name Long Name 2-alpha code Currency Unit
#> 1 ABW Aruba Aruba Aruba AW Aruban florin
#> 2 AFE Africa Eastern and Southern Africa Eastern and Southern Africa Eastern and Southern ZH <NA>
#> 3 AFG Afghanistan Afghanistan Islamic State of Afghanistan AF Afghan afghani
#> 4 AFW Africa Western and Central Africa Western and Central Africa Western and Central ZI <NA>
#> 5 AGO Angola Angola People's Republic of Angola AO Angolan kwanza
#> 6 ALB Albania Albania Republic of Albania AL Albanian lek
#> Special Notes
#> 1 <NA>
#> 2 26 countries, stretching from the Red Sea in the North to the Cape of Good Hope in the South (https://www.worldbank.org/en/region/afr/eastern-and-southern-africa)
#> 3 The reporting period for national accounts data is designated as either calendar year basis (CY) or fiscal year basis (FY). For this country, it is fiscal year-based (fiscal year-end: March 20). Also, an estimate (PA.NUS.ATLS) of the exchange rate covers the same period and thus differs from the official exchange rate (CY).\n\nIn addition, the World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1960-2006. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.
#> 4 22 countries, stretching from the westernmost point of Africa, across the equator, and partly along the Atlantic Ocean till the Republic of Congo in the South (https://www.worldbank.org/en/region/afr/western-and-central-africa)
#> 5 The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1994-2024. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.
#> 6 <NA>
#> Region Income Group WB-2 code National accounts base year National accounts reference year SNA price valuation
#> 1 Latin America & Caribbean High income AW 2013 NA Value added at basic prices (VAB)
#> 2 <NA> <NA> ZH <NA> NA <NA>
#> 3 Middle East, North Africa, Afghanistan & Pakistan Low income AF 2016 NA Value added at basic prices (VAB)
#> 4 <NA> <NA> ZI <NA> NA <NA>
#> 5 Sub-Saharan Africa Lower middle income AO 2002 NA Value added at basic prices (VAB)
#> 6 Europe & Central Asia Upper middle income AL Original chained constant price data are rescaled. 2020 Value added at basic prices (VAB)
#> Lending category Other groups System of National Accounts Alternative conversion factor PPP survey year Balance of Payments Manual in use
#> 1 <NA> <NA> Country uses the 1993 System of National Accounts methodology NA NA BPM6
#> 2 <NA> <NA> <NA> NA NA <NA>
#> 3 IDA HIPC Country uses the 2008 System of National Accounts methodology NA NA BPM6
#> 4 <NA> <NA> <NA> NA NA <NA>
#> 5 IBRD <NA> Country uses the 1993 System of National Accounts methodology NA NA BPM6
#> 6 IBRD <NA> Country uses the 2008 System of National Accounts methodology NA NA BPM6
#> External debt Reporting status System of trade Government Accounting concept IMF data dissemination standard Latest population census
#> 1 <NA> General trade system <NA> Enhanced General Data Dissemination System (e-GDDS) 2020 (expected)
#> 2 <NA> <NA> <NA> <NA> <NA>
#> 3 Estimate General trade system Consolidated central government Enhanced General Data Dissemination System (e-GDDS) 1979
#> 4 <NA> <NA> <NA> <NA> <NA>
#> 5 Actual General trade system Budgetary central government Enhanced General Data Dissemination System (e-GDDS) 2014
#> 6 Actual Special trade system Consolidated central government Enhanced General Data Dissemination System (e-GDDS) 2023
#> Latest household survey Source of most recent Income and expenditure data Vital registration complete Latest agricultural census Latest industrial data Latest trade data
#> 1 <NA> <NA> Yes <NA> NA 2018
#> 2 <NA> <NA> <NA> <NA> NA NA
#> 3 Multiple Indicator Cluster Survey 2022-2023 Integrated household survey (IHS), 2016/17 <NA> <NA> NA 2018
#> 4 <NA> <NA> <NA> <NA> NA NA
#> 5 Demographic and Health Survey 2015/16 Integrated household survey (IHS), 2008/09 <NA> <NA> NA 2018
#> 6 Demographic and Health Survey 2017 - 2018 Living Standards Measurement Study Survey (LSMS), 2012 Yes 2012 2013 2018
#> Latest water withdrawal data
#> 1 NA
#> 2 NA
#> 3 NA
#> 4 NA
#> 5 NA
#> 6 NA
# }