Country Codes and International Organizations & Groups

Last update: 29Jan2020

Backups available on outputs/bk

Complete database of countries and territories, their different country codes under common standards (ISO-3166, GEC (Formerly FIPS ), M49 (UN), STANAG (NATO), NUTS, etc.) and their membership in different international organizations.

• A. Country codes
• B. International Organizations
• C. Full json file
• D. Data sources

vignette: Using Country Codes

Databases

^{Note that blanks are noted as "" since ISO-3166-ALPHA 2 is NA.}

A. Country Codes .csv

Main .csv file containing

• Country and regional codes
• Currency, dependency status ans sovereignty info
• Names in english and spanish as provided by Unicode CLDR
• Additional information (demographics, capital, area, etc.)

Codes included

Field	Description	Source	Notes
ISO_3166_1	ISO 3166-1 numeric	Wikipedia
ISO_3166_2	ISO 3166-1 alpha-2	Wikipedia
ISO_3166_3	ISO 3166-1 alpha-3	Wikipedia
FIPS_GEC	Geopolitical Entities and Codes (GEC)	CIA World Factbook	Formerly FIPS 1PUB 10-4
STANAG	STANAG 1059 Country Codes	CIA World Factbook	Used by NATO
M49	UN Country Code	UN Stats
NUTS	NUTS 0 code	Wikipedia	Used by EU
geonameId	geonameId	geonames
continentcode	geonames Continent Code	geonames
regioncode	UN Regional Code	UN Stats
interregioncode	Interregional Code	UN Stats
subregioncode	Subregion Code	UN Stats
ISO_3166_3.sov	Sovereign code	Wikipedia, Statoids	If non-independent

Other information included

• Currency
• Dependency status
• Names in english and spanish: Country, Continents & Regions, capital
• Population, area (km²) and developed region

B. International Organizations .csv

A single .csv file describing the membership status of each country across 186 international organizations.

Field	Description
ISO_3166_2	Matches with Countrycodes .csv
ISO_3166_3	Matches with Countrycodes .csv
NAME.EN	Matches with Countrycodes .csv
source	Main data source
org_name	Name of the organization
org_id	Abbreviation or internal ID
org_member	Membership status

C. Full json file .json

This .json file combines the previous files:

Example

[
  // ...
  {
    "ISO_3166_1": 12,
    "ISO_3166_2": "DZ",
    "ISO_3166_3": "DZA",
    "ISO_Official": true,
    "FIPS_GEC": "AG",
    "STANAG": "DZA",
    "M49": 12,
    "geonameId": 2589581,
    "continentcode": "AF",
    "regioncode": 2,
    "subregioncode": 15,
    "currency": "DZD",
    "independent": true,
    "NAME.EN": "Algeria",
    "CONTINENT.EN": "Africa",
    "REGION.EN": "Africa",
    "SUBREGION.EN": "Northern Africa",
    "CAPITAL.EN": "Algiers",
    "NAME.ES": "Argelia",
    "CONTINENT.ES": "Africa",
    "REGION.ES": "África",
    "SUBREGION.ES": "África septentrional",
    "CAPITAL.ES": "Argel",
    "pop": 34586184,
    "area_km2": 2381740,
    "Developed": "Developing",
    "org_id": ["ABEDA", "ACP", "ADB", "AFDB", "AFESD", "AG", "AL", 
    /...
    ],
    "org_member": ["member", null, null, "member", "member", null,
    "member",
    /...
    ]
  },
  /...
]

A complementary function (intended to be used in R) has been developed:

ISO_memcol = function(df, #Input dataframe
                      orgtosearch #org id
) {
  ind = match(orgtosearch, unlist(df[1, "org_id"]))
  or = lapply(1:nrow(df), function(x)
    unlist(df[x, "org_member"])[ind])
  or = data.frame(matrix(unlist(or)), stringsAsFactors = F)
  names(or) = orgtosearch
  df2 = as.data.frame(cbind(df, or, stringsAsFactors = F))
  return(df2)
}

D. Data sources

• Wikipedia, the free encyclopedia
  • https://en.wikipedia.org/wiki/ISO_3166-1
  • https://es.wikipedia.org/wiki/Nomenclatura_de_las_Unidades_Territoriales_Estad%C3%ADsticas
• The World Factbook - CIA https://www.cia.gov/library/publications/the-world-factbook/index.html
• United Nations Statistical Division https://unstats.un.org/unsd/methodology/m49/overview/
• geonames https://www.geonames.org/
• REST COUNTRIES https://restcountries.eu/
• Unicode Common Locale Data Repository (CLDR) Project https://github.com/unicode-cldr
• http://www.statoids.com/