countrygroups 0.7.1

Data Package, Python and JavaScript module with country groups.

Data Package

The Data Package contains the lists used to build the language modules and can be loaded with respective language tools. Some lists contain additional information like date of joining etc.

Python Module

The Python module can be installed from PyPI:

pip install countrygroups

It contains lists with three-letter codes:

from countrygroups import EUROPEAN_UNION

for member in EUROPEAN_UNION:
    print(member)

JavaScript Module

The JavaScript module can be installed with npm:

npm install countrygroups

It contains arrays with three-letter codes:

var EU = require("countrygroups").EUROPEAN_UNION

console.log(EU)

Data

Members of the UNFCCC

data/unfccc.csv

Currently, there are 197 Parties (196 States and the European Union) to the United Nations Framework Convention on Climate Change. The CSV file contains a list of them and their status of ratification. Included are country codes, dates of Signature, Ratification, Acceptance, Accession, Approval, or Succession to the Convention, and Entry into Force.

For an explanation of the legal terms of ratification instruments see https://treaties.un.org/Pages/Overview.aspx?path=overview/glossary/page1_en.xml

UNFCCC Annex I parties

data/annex-one.csv data/annex-one-kaz.csv

Parties listed in Annex I of the UNFCCC classified as industrialized (developed) countries and "economies in transition". After ratifying the Kyoto Protocol Kazakhstan is considered an Annex I Party for the purposes of the Protocol but remains to be a non-Annex I Party for the purposes of the Convention, the second version includes Kazakhstan.

UNFCCC Non-Annex I parties

data/non-annex-one.csv

Members of the UNFCCC not part of Annex I.

Least Developed Countries (LDCs)

data/ldcs.csv

data/graduated-ldcs.csv

The list of Least Developed Countries (LDCs) is taken from https://www.un.org/development/desa/dpad/least-developed-country-category/ldcs-at-a-glance.html Available are current LDCs and graduated countries.

Landlocked Developing Countries (LLDCs)

data/lldcs.csv

http://unohrlls.org/about-lldcs/

http://unohrlls.org/about-lldcs/country-profiles/

Small Island Developing States (SIDS)

data/sids.csv

data/sids-non-un-or-regional-commissions-associates.csv

List of Small Island Developing States (SIDS) and list of Non-UN Members/Associate Members of Regional Commissions, sourced from https://sustainabledevelopment.un.org/topics/sids/list.

European Union member states

data/european-union.csv

The data is sourced from https://europa.eu/european-union/about-eu/countries/member-countries_en.

G20 members

data/g20.csv

Organisation for Economic Co-operation and Development (OECD)

data/oecd.csv

Members of the Convention on the Organisation for Economic Co-operation and Development (OECD) and dates on which they deposited their instruments of ratification, sourced from http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm.

BRICS

data/brics.csv

Umbrella group

data/umbrella.csv

OPEC

data/opec.csv

AOSIS

data/aosis.csv

Environmental Integrity Group (EIG)

data/eig.csv

G77

data/g77.csv

Arab Group

data/arab-group.csv

UN Regional Groups

data/un-regional-groups.csv

IPCC AR5 Region definitions

data/ar5.csv

International Maritime Organization

data/imo.csv

SSP (Shared Socioeconomic Pathways) Database Region Definitions

data/ssp.csv

UN Statistical Division Geographical Regions

data/unstats-geographical-regions.json

Preparation

The Makefile used to generate the CSV files requires Python3 and will automatically install its dependencies into a Virtualenv when run with

make