WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

Why might countries join alliances?United NationsUNESCO = United National Educational, Scientific, and Cultural Organization, http://en.unesco.org/FAO = Food and Agricultural Organization of the United Nations, http://www.fao.org/home/en/WHO = World Health Organization, http://www.who.int/en/European UnionEU = European UnionSchengen = Countries who are members of the Schengen Area which guarantees freedom of movement to EU citizens and the right to travel and work and live in any EU countries.FrancophoneCountries that have French as an official language? The map depicts the countries that are members of the International Organisation of La Francophonie listed on their official website. Only the 57 member states and governments are included. There are 23 observer states throughout the world. Cape Verde Islands is a member, but not included on the map.Organization of Petroleum Exporting Countries (OPEC)Indonesia reactivated its membership in OPEC in January of 2016.Oil production data from http://www.opec.org/opec_web/static_files_project/media/downloads/publications/MOMR%20June%202016.pdfAfrican Union (AU)founded by 32 countries in Addis Ababa, Ethiopia on May 25, 1963Membership in the African Union from http://www.au.int/en/AU_Member_StatesMorocco is not a member of the African Union because it opposed the membership of Western Sahara, Sahrawi Arab Democratic Republic. It is not shown on the map, but did join the AU on February 27, 1976.Other OrganizationsIMF = International Monetary Fund, http://www.imf.org/external/index.htmIBRD = International Bank for Reconstruction and Development (World Bank), http://www.worldbank.org/en/about/what-we-do/brief/ibrdIAEA = International Atomic Energy Agency, https://www.iaea.org/WMO = World Meteorological Organization, http://public.wmo.int/en

The project investigates (a) how staged global political media events (i.e. the global climate summits) are produced, and (b) which discursive effects these events have on national climate debates in the media of five leading democratic countries around the world, namely the U.S., Germany, India, South Africa and Brazil.

I. Formal and general content related categories 1. Formal variables: article-ID; coder-ID; title (main headline of the article); date of publication; media outlet (newspaper, magazine or news website in which the article was published); length of the article; format of the article (fact-based article, opinion-based article, interview, press review, stand-alone visual image as an independent article, letter to the editor, other); placement of the article (front page article or cover story, article inside the newspaper and magazine referenced on the front page, article inside the newspaper and magazine without reference on the front page); section of newspaper, magazine and news website; author of the article.

1. Content variables: article trigger (institutional events, unpremeditated (unplanned) events, communicative events, other event); UN Climate Change Conferences (COPs) reference; country references; international / transnational institutional references.

II. Visual level 1. Formal variables: visual present; photo present; number of visual images; number of photos; visual image-ID, type of visual image (photograph, photomontage, chart, map or table, cartoon / caricature, official logo of COP, topical vignette by newspaper or magazine); source of visual image. 2. Visual framing (if the visual image is a photograph or photomontage): denotative level: institutional reference depicted in the photo; content of the photo: urban landscape, natural landscape (woods, mountains and/ or lake, plants and/ or grassland / meadow), ocean and/or ocean coast, snow, ice, glacier, desert or steppe, polar bear, other animals, transportation or conventional traffic, agriculture, conventional energy generation, green technology, other industry / technology, PR stunt installation; person(s) depicted in the photo: political actor, NGO representative(s), business representatives, scientists, celebrities, police / security personnel, ordinary citizen(s), other type of person; origin of depicted person; activity of depicted person (e.g. symbolic activity, demonstration and other form of protest, etc.); location of depicted scene.

Stylistic level: camera angle, distance / field size of photo.

III. Narration: 1. Narrative characteristics: narratively (dramatization, emotion, narrative personalization, fictionalization, stylistic ornamentation); narrative genre: overall theme (everyday business, failure after struggle, triumph over adversity, struggle over destiny or planet or civilization, political or social conflict); tone (fatalistic, optimistic, unexcited, neutral, passionate, pessimistic); expected outcome; no conceivable outcome. 2. Character specification: character as victim: narrative role: victim present; victim type; victim name; victim action taken; character as villain: narrative role: villain present; villain type; villain name; villain action taken; character as hero: narrative role: hero present; hero type; hero name; hero action taken; sum of all actors in the article; sum of NGO representatives, politicians, representatives, international organizations, business representatives, scientists, journalists, citizens, and other actors.

IV. Actor-statement level Actors: actor-statement-ID; name of the actor; type of actor; occupation / office of actor; origin of actor; type of quotation; prominence of actor-statement; type of ´we´ reference; frames: denial of reality of global warming; denial of problematic character / urgency of action; cntral aspect of problem definition: increase of temperature, extreme weather, melting ice or glaciers / rising sea levels, economic opportunities due to global warming, economic difficulties and hardships due to global warming, other societal consequences; causal attribution (situations or processes the actor identifies as causing or contributing to global warming): natural causes; anthropogenic causes (burning of fossil fuels / greenhouse gas emissions, deforestation, colliding national interests, other causes; countries responsible for causing global warming; endorsed and rejected remedies (no action should be taken, clean energy, reforestation and avoided deforestation); adaption action: adaption in agricultural production; adjusting political process: adoption of new legally binding, all-inclusive treaty on emission cuts; stronger focus on local efforts / working on the ground; other measures: financial assistance to disadvantaged countries; attributed responsibility for solving the problem.

Additionally coded was: country; COP (COP 16 Cancun, COP 17 Durban, COP 18 Doha, COP 19 Warsaw); 4 Cluster Solution Frames (political dispute, common...

The average for 2023 based on 6 countries was 0.6 index points. The highest value was in New Zealand: 0.831 index points and the lowest value was in Papua New Guinea: 0.383 index points. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).

Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).

Democratic Republic of the Congo: Government effectiveness index (-2.5 weak; 2.5 strong): The latest value from 2023 is -1.69 points, an increase from -1.75 points in 2022. In comparison, the world average is -0.04 points, based on data from 193 countries. Historically, the average for Democratic Republic of the Congo from 1996 to 2023 is -1.66 points. The minimum value, -1.84 points, was reached in 2002 while the maximum of -1.43 points was recorded in 2004.

Democratic Republic of the Congo: Government debt as percent of GDP: The latest value from 2022 is 14.35 percent, a decline from 15.86 percent in 2021. In comparison, the world average is 59.99 percent, based on data from 174 countries. Historically, the average for Democratic Republic of the Congo from 2000 to 2022 is 60.12 percent. The minimum value, 14.35 percent, was reached in 2022 while the maximum of 181.62 percent was recorded in 2001.

Democratic Republic of the Congo: Government spending as percent of GDP: The latest value from 2023 is 7.93 percent, a decline from 9.36 percent in 2022. In comparison, the world average is 16.14 percent, based on data from 130 countries. Historically, the average for Democratic Republic of the Congo from 1994 to 2023 is 6.73 percent. The minimum value, 2.06 percent, was reached in 2000 while the maximum of 9.36 percent was recorded in 2022.

Democratic Republic of the Congo: Public spending on education, percent of public spending: The latest value from 2017 is 13.52 percent, a decline from 14.64 percent in 2016. In comparison, the world average is 14.33 percent, based on data from 157 countries. Historically, the average for Democratic Republic of the Congo from 2010 to 2017 is 13.96 percent. The minimum value, 9.58 percent, was reached in 2010 while the maximum of 16.17 percent was recorded in 2013.

Democratic Republic of the Congo: Bank credit to government and public enterprises, percent of GDP: The latest value from 2020 is 1.16 percent, a decline from 1.33 percent in 2019. In comparison, the world average is 14.91 percent, based on data from 147 countries. Historically, the average for Democratic Republic of the Congo from 1994 to 2020 is 0.57 percent. The minimum value, 0.01 percent, was reached in 1995 while the maximum of 1.33 percent was recorded in 2019.

Democratic Republic of the Congo: Fruit price index, world average = 100: The latest value from 2021 is 66.65 index points, an increase from 51.5 index points in 2017. In comparison, the world average is 109.47 index points, based on data from 165 countries. Historically, the average for Democratic Republic of the Congo from 2017 to 2021 is 59.08 index points. The minimum value, 51.5 index points, was reached in 2017 while the maximum of 66.65 index points was recorded in 2021.

Democratic Republic of the Congo: Foreign Direct Investment, percent of GDP: The latest value from 2023 is 2.51 percent, an increase from 2.14 percent in 2022. In comparison, the world average is 3.16 percent, based on data from 173 countries. Historically, the average for Democratic Republic of the Congo from 1992 to 2023 is 3.04 percent. The minimum value, -1.3 percent, was reached in 2009 while the maximum of 12.72 percent was recorded in 2010.