Global Terrorism Index
The Global Terrorism Index (GTI) is an attempt to systematically rank the nations of the world according to terrorist activity. The index combines a number of factors associated with terrorist attacks to build an explicit picture of the impact of terrorism over a 10-year period, illustrating trends, and providing a data series for analysis by researchers and policymakers. It is the product of Institute for Economics and Peace (IEP) and is based on data from the Global Terrorism Database (GTD) which is collected and collated by the National Consortium for the Study of Terrorism and Responses to Terrorism (START) at the University of Maryland. The GTD has codified over 125,000 cases of terrorism.[1]
Publications by year
Institute for Economics and Peace has published four editions of Global Terrorism Index.[2][3][4][5]
2012
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The first edition of Global Terrorism Index was published in 2012. The study covered analysis of 158 countries.[2]
2014
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The second edition of Global Terrorism Index was published in November 2014. The study covered analysis of 162 countries.[3]
2015
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The third edition of Global Terrorism Index was published in November 2015. The study covered analysis of 162 countries.[4]
2016
The fourth edition of Global Terrorism Index was published in November 2016. The study covered analysis of 163 countries.
Rank[5][6] | Country | Score | Change in score (2015 to 2016) |
---|---|---|---|
1 | Iraq | 9.96 | −0.04 |
2 | Afghanistan | 9.444 | 0.229 |
3 | Nigeria | 9.314 | 0.075 |
4 | Pakistan | 8.613 | −0.027 |
5 | Syria | 8.587 | 0.458 |
6 | Yemen | 8.076 | 0.607 |
7 | Somalia | 7.548 | 0.012 |
8 | India | 7.484 | −0.059 |
9 | Egypt | 7.328 | 0.751 |
10 | Libya | 7.283 | 0.228 |
11 | Ukraine | 7.132 | 0.094 |
12 | Philippines | 7.098 | 0.071 |
13 | Cameroon | 7.002 | 0.504 |
14 | Turkey | 6.738 | 1.272 |
15 | Thailand | 6.706 | −0.249 |
16 | Niger | 6.682 | 3.474 |
17 | Democratic Republic of the Congo | 6.633 | 0.209 |
18 | Sudan | 6.66 | 0 |
19 | Kenya | 6.578 | −0.04 |
20 | Central African Republic | 6.518 | −0.229 |
21 | South Sudan | 6.497 | −0.273 |
22 | Bangladesh | 6.479 | 0.959 |
23 | China | 6.108 | −0.206 |
24 | Lebanon | 6.068 | −0.122 |
25 | Mali | 6.03 | 0.347 |
26 | Colombia | 5.954 | −0.197 |
27 | Chad | 5.83 | 3.663 |
28 | Palestine | 5.659 | 0.658 |
29 | France | 5.603 | 2.02 |
30 | Russia | 5.43 | −0.623 |
31 | Burundi | 5.417 | 2.156 |
32 | Saudi Arabia | 5.404 | 1.678 |
33 | Israel | 5.248 | −0.302 |
34 | United Kingdom | 5.08 | 0.012 |
35 | Tunisia | 4.963 | 1.452 |
36 | United States | 4.877 | 0.358 |
37 | Kuwait | 4.449 | 4.43 |
38 | Indonesia | 4.429 | −0.027 |
39 | Nepal | 4.415 | 0.063 |
40 | Uganda | 4.327 | −0.615 |
41 | Germany | 4.308 | 1.582 |
42 | Algeria | 4.282 | −0.377 |
43 | Greece | 4.218 | −0.011 |
44 | Bahrain | 4.206 | −0.299 |
45 | Myanmar | 4.167 | 0.364 |
46 | Sweden | 3.984 | 1.858 |
47 | Iran | 3.949 | −0.226 |
48 | Paraguay | 3.84 | 0.286 |
49 | Tanzania | 3.832 | −0.125 |
50 | Mexico | 3.723 | −0.129 |
51 | Mozambique | 3.536 | −0.551 |
52 | South Africa | 3.531 | 1.676 |
53 | Sri Lanka | 3.486 | −0.194 |
54 | Ethiopia | 3.454 | −0.007 |
55 | Ireland | 3.429 | 0.1 |
56 | Tajikistan | 3.086 | 1.368 |
57 | Peru | 2.984 | −0.046 |
58 | Jordan | 2.858 | 1.363 |
59 | Australia | 2.742 | −0.026 |
60 | Chile | 2.699 | −0.659 |
61 | Malaysia | 2.691 | −0.341 |
62 | Bosnia and Herzegovina | 2.675 | 1.455 |
63 | Burkina Faso | 2.623 | 2.316 |
64 | Senegal | 2.598 | −0.638 |
65 | Rwanda | 2.589 | −0.726 |
66 | Canada | 2.518 | −0.084 |
67 | Japan | 2.447 | 2.447 |
68 | Finland | 2.377 | 2.377 |
69 | Italy | 2.363 | −0.205 |
70 | Kosovo | 2.205 | −0.357 |
71 | Czech Republic | 2.179 | 0.25 |
72 | Ivory Coast | 2.177 | −0.752 |
73 | Denmark | 2.152 | 2.061 |
74 | Nicaragua | 2.093 | −0.656 |
75 | Norway | 2.077 | −0.656 |
76 | Cyprus | 2.04 | −0.301 |
77 | Venezuela | 1.998 | 0.357 |
78 | North Macedonia | 1.86 | 0.02 |
79 | Djibouti | 1.78 | −0.691 |
80 | Brazil | 1.74 | −0.306 |
81 | Madagascar | 1.671 | −0.67 |
82 | Bulgaria | 1.631 | −0.38 |
83 | Dominican Republic | 1.562 | −0.649 |
84 | Kyrgyzstan | 1.445 | 0.134 |
85 | Guinea | 1.403 | 0.942 |
86 | Belarus | 1.357 | −0.698 |
87 | Georgia | 1.257 | −0.677 |
88 | Belgium | 1.245 | −0.684 |
89 | Spain | 1.203 | −0.701 |
90 | Honduras | 1.144 | −0.666 |
90 | Guatemala | 1.144 | −0.666 |
92 | Albania | 1.103 | −0.498 |
92 | Estonia | 1.103 | 1.026 |
94 | Kazakhstan | 0.934 | −0.658 |
95 | Morocco | 0.892 | −0.445 |
95 | Lesotho | 0.892 | 0.892 |
97 | Netherlands | 0.864 | 0.586 |
98 | Ecuador | 0.793 | 0.313 |
99 | Laos | 0.695 | 0.657 |
100 | Eritrea | 0.534 | −1.082 |
101 | Argentina | 0.499 | −0.491 |
101 | Trinidad and Tobago | 0.499 | −0.28 |
103 | United Arab Emirates | 0.422 | −0.635 |
104 | Zimbabwe | 0.413 | −0.61 |
105 | Republic of the Congo | 0.365 | −0.47 |
106 | Azerbaijan | 0.346 | −0.433 |
106 | Ghana | 0.346 | −0.433 |
108 | Switzerland | 0.288 | −0.323 |
108 | Armenia | 0.288 | 0.173 |
110 | Iceland | 0.25 | −0.249 |
110 | Liberia | 0.25 | −0.249 |
112 | Hungary | 0.23 | −0.231 |
112 | New Zealand | 0.23 | −0.231 |
112 | South Korea | 0.23 | 0.23 |
112 | Qatar | 0.23 | 0.23 |
116 | Austria | 0.182 | −0.183 |
117 | Montenegro | 0.154 | −0.153 |
117 | Uzbekistan | 0.154 | 0.154 |
119 | Bhutan | 0.115 | −0.115 |
119 | Jamaica | 0.115 | −0.115 |
121 | Serbia | 0.086 | −0.135 |
122 | Guinea-Bissau | 0.077 | −0.077 |
122 | Cambodia | 0.077 | −0.077 |
122 | Taiwan | 0.077 | −0.077 |
125 | Mauritania | 0.067 | −0.125 |
126 | Portugal | 0.058 | −0.057 |
126 | Croatia | 0.058 | −0.057 |
128 | Bolivia | 0.038 | −0.039 |
129 | Moldova | 0.019 | −0.019 |
130 | Angola | 0 | −0.168 |
130 | Benin | 0 | 0 |
130 | Botswana | 0 | 0 |
130 | Costa Rica | 0 | 0 |
130 | Cuba | 0 | 0 |
130 | Gabon | 0 | 0 |
130 | Gambia | 0 | 0 |
130 | Equatorial Guinea | 0 | 0 |
130 | Guyana | 0 | 0 |
130 | Haiti | 0 | 0 |
130 | Lithuania | 0 | 0 |
130 | Latvia | 0 | 0 |
130 | Mauritania | 0 | 0 |
130 | Malawi | 0 | 0 |
130 | Mongolia | 0 | 0 |
130 | Namibia | 0 | 0 |
130 | North Korea | 0 | 0 |
130 | Oman | 0 | 0 |
130 | Panama | 0 | 0 |
130 | Papua New Guinea | 0 | 0 |
130 | Poland | 0 | 0 |
130 | Romania | 0 | 0 |
130 | Sierra Leone | 0 | 0 |
130 | Singapore | 0 | 0 |
130 | El Salvador | 0 | 0 |
130 | Slovakia | 0 | 0 |
130 | Slovenia | 0 | 0 |
130 | Eswatini | 0 | 0 |
130 | Togo | 0 | 0 |
130 | Turkmenistan | 0 | 0 |
130 | Timor-Leste | 0 | 0 |
130 | Uruguay | 0 | 0 |
130 | Vietnam | 0 | 0 |
130 | Zambia | 0 | 0 |
Methodology
GTI Scoring System
The GTI score for a country in a given year is based on a unique scoring system to account for the relative impact of incidents in the year. There are four factors counted in each country's yearly score:
- Total number of terrorist incidents in a given year
- Total number of fatalities caused by terrorism in a given year
- Total number of injuries caused by terrorism in a given year
- The approximate level of total property damage from terrorist incidents in a given year
Each of the factors is weighted differently and a five-year weighted average is applied to importantly reflect the lingering psychological effect of terrorist acts over time. The weightings shown in the table below were determined by consultation with the GPI Expert Panel:
Dimension | Weight |
---|---|
Total number of incidents | 1 |
Total number of fatalities | 3 |
Total number of injuries | 0.5 |
Sum of property damages measure | 2 |
The greatest weighting is attributed to a fatality. The property damage measure is further disaggregated into four bands depending on the measured scope of the property damage inflicted by one incident. These bandings are shown in the table below, whereby incidents causing less than US$1 million are accorded a weight of 1, between $1 million and $1 billion, and more than $1 billion. A great majority of incidents are coded in the GTD as an 'unknown' level of property damage, thus scoring nil, with 'catastrophic' events being extremely rare.
Code | Damage level |
---|---|
0 | Unknown |
1 | Minor (likely < $1 million) |
2 | Major (likely between $1 million and $1 billion) |
3 | Catastrophic (likely > $1 billion) |
Example of a country's GTI Score
To assign a relative number to how a country has been directly impacted by terrorism in any given year, for every incident recorded, the GTI calculates a weighted sum of all indicators. To illustrate, the table below depicts a hypothetical country's score for a given year:
Dimension | Weight | # of records for the given year | Score |
---|---|---|---|
Total number of incidents | 1 | 21 | 21 |
Total number of fatalities | 3 | 36 | 108 |
Total number of injuries | 0.5 | 53 | 26.5 |
Sum of property damages measure | 2 | 20 | 40 |
Total Raw Score | 195.5 |
Given these indicator values, the country for that year would be assessed as having a raw impact of terrorism score of:
(1 x 21) + (3 x 36) + (0.5 x 53) + (2 x 20) = 195.5.
See also
- Number of terrorist incidents by country
- Global Terrorism Database
- Patterns of Global Terrorism
- Global Peace Index
- United States Peace Index
- Terrorism
References
- ^ "About the GTI". p. Vision of Humanity. Retrieved 11 February 2013.
- ^ a b "2012 Global Terrorism Index: Capturing the Impact of Terrorism from 2002 – 2011" (PDF). Institute for Economics & Peace (published 4 December 2012). n.d. ISBN 978-0-9874448-5-1. Archived from the original (PDF) on 11 April 2017. Retrieved 11 April 2017 – via ReliefWeb.
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