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Denmark

  • Monarch:Margrethe II
  • Prime Minister:Mette Frederiksen
  • Capital city:Copenhagen
  • Languages:Danish, Faroese, Greenlandic (an Inuit dialect), German (small minority) note: English is the predominant second language
  • Government
  • National statistics office
  • Population, persons:5,797,446 (2018)
  • Area, sq km:41,990
  • GDP per capita, US$:60,596 (2018)
  • GDP, billion current US$:351.3 (2018)
  • GINI index:No data
  • Ease of Doing Business rank:3

Terrorism

All datasets:  C G
  • C
    • November 2018
      Source: Institute for Health Metrics and Evaluation
      Uploaded by: Knoema
      Accessed On: 05 December, 2018
      Select Dataset
      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.
  • G
    • November 2018
      Source: Institute for Economics and Peace
      Uploaded by: Knoema
      Accessed On: 21 February, 2019
      Select Dataset
      Data cited at: Institute for Economics and Peace   The Global Terrorism Index (GTI) is a comprehensive study which accounts for the direct and indirect impact of terrorism in 163 countries in terms of its effect on lives lost, injuries, property damage and the psychological aftereffects of terrorism. This study covers 99.6 per cent of the world’s population. It aggregates the most authoritative data source on terrorism today, the Global Terrorism Database (GTD) collated by the National Consortium for the Study of Terrorism and Responses to Terrorism (START) into a composite score in order to provide an ordinal ranking of nations on the negative impact of terrorism. The GTD is unique in that it consists of systematically and comprehensively coded data on domestic as well as international terrorist incidents and now includes more than 140,000 cases. Note: "Change in score values" have been calculated for 2015 by score in 2015 minus score in 2014 (Score_2015-Score_2014). For rest of the years according to source.

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