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Institute for Economics and Peace

The Institute for Economics and Peace (IEP), chaired by technology entrepreneur Steve Killelea founder of Integrated Research, is a global think tank headquartered in Sydney, Australia with branches in New York, Mexico City and Oxford. IEP is dedicated to shifting the world's focus to peace as a positive, achievable, and tangible measure of human well-being and progress. It achieves its goals by developing new conceptual frameworks to define peacefulness, providing metrics for measurement, uncovering the relationship between peace, business, and prosperity, and by promoting a better understanding of the cultural, economic, and political factors that drive peacefulness.

All datasets:  G
  • G
    • حزيران 2019
      المصدر: Institute for Economics and Peace
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 تموز, 2019
      تحديد مجموعة بيانات
      Data cited at: Institute for Economics and Peace The Global Peace Index 2019
    • تشرين الثاني 2019
      المصدر: Institute for Economics and Peace
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 كانون الأول, 2019
      تحديد مجموعة بيانات
      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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