Global Terrorism Index

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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[edit]

Institute for Economics and Peace has published four editions of Global Terrorism Index.[2][3][4][5]

2012[edit]

The first edition of Global Terrorism Index was published in 2012. The study covered analysis of 158 countries.[2]

2014[edit]

The second edition of Global Terrorism Index was published in November 2014. The study covered analysis of 162 countries.[3]

2015[edit]

A world map indicating the GTI by country (based on 2015 data)

The third edition of Global Terrorism Index was published in November 2015. The study covered analysis of 162 countries.[4]

2016[edit]

A world map indicating the GTI by country (2016)

The fourth edition of Global Terrorism Index was published in November 2016. The study covered analysis of 163 countries.

GTI ranks and scores, 2016
Rank[5][6] Country Score Change in score
(2015 to 2016)
1  Iraq 9.96 −0.04
2  Afghanistan 9.444 Negative increase 0.229
3  Nigeria 9.314 Negative increase 0.075
4  Pakistan 8.613 −0.027
5  Syria 8.587 Negative increase 0.458
6  Yemen 8.076 Negative increase 0.607
7  Somalia 7.548 Negative increase 0.012
8  India 7.484 −0.059
9  Egypt 7.328 Negative increase 0.751
10  Libya 7.283 Negative increase 0.228
11  Ukraine 7.132 Negative increase 0.094
12  Philippines 7.098 Negative increase 0.071
13  Cameroon 7.002 Negative increase 0.504
14  Turkey 6.738 Negative increase 1.272
15  Thailand 6.706 −0.249
16  Niger 6.682 Negative increase 3.474
17  Democratic Republic of the Congo 6.633 Negative increase 0.209
18  Sudan 6.66 Steady 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 Negative increase 0.959
23  China 6.108 −0.206
24  Lebanon 6.068 −0.122
25  Mali 6.03 Negative increase 0.347
26  Colombia 5.954 −0.197
27  Chad 5.83 Negative increase 3.663
28  Palestine 5.659 Negative increase 0.658
29  France 5.603 Negative increase 2.02
30  Russia 5.43 −0.623
31  Burundi 5.417 Negative increase 2.156
32  Saudi Arabia 5.404 Negative increase 1.678
33  Israel 5.248 −0.302
34  United Kingdom 5.08 Negative increase 0.012
35  Tunisia 4.963 Negative increase 1.452
36  United States 4.877 Negative increase 0.358
37  Kuwait 4.449 Negative increase 4.43
38  Indonesia 4.429 −0.027
39    Nepal 4.415 Negative increase 0.063
40  Uganda 4.327 −0.615
41  Germany 4.308 Negative increase 1.582
42  Algeria 4.282 −0.377
43  Greece 4.218 −0.011
44  Bahrain 4.206 −0.299
45  Myanmar 4.167 Negative increase 0.364
46  Sweden 3.984 Negative increase 1.858
47  Iran 3.949 −0.226
48  Paraguay 3.84 Negative increase 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 Negative increase 1.676
53  Sri Lanka 3.486 −0.194
54  Ethiopia 3.454 −0.007
55  Ireland 3.429 Negative increase 0.1
56  Tajikistan 3.086 Negative increase 1.368
57  Peru 2.984 −0.046
58  Jordan 2.858 Negative increase 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 Negative increase 1.455
63  Burkina Faso 2.623 Negative increase 2.316
64  Senegal 2.598 −0.638
65  Rwanda 2.589 −0.726
66  Canada 2.518 −0.084
67  Japan 2.447 Negative increase 2.447
68  Finland 2.377 Negative increase 2.377
69  Italy 2.363 −0.205
70  Kosovo 2.205 −0.357
71  Czech Republic 2.179 Negative increase 0.25
72  Ivory Coast 2.177 −0.752
73  Denmark 2.152 Negative increase 2.061
74  Nicaragua 2.093 −0.656
75  Norway 2.077 −0.656
76  Cyprus 2.04 −0.301
77  Venezuela 1.998 Negative increase 0.357
78  Macedonia 1.86 Negative increase 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 Negative increase 0.134
85  Guinea 1.403 Negative increase 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 Negative increase 1.026
94  Kazakhstan 0.934 −0.658
95  Morocco 0.892 −0.445
95  Lesotho 0.892 Negative increase 0.892
97  Netherlands 0.864 Negative increase 0.586
98  Ecuador 0.793 Negative increase 0.313
99  Laos 0.695 Negative increase 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 Negative increase 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 Negative increase 0.23
112  Qatar 0.23 Negative increase 0.23
116  Austria 0.182 −0.183
117  Montenegro 0.154 −0.153
117  Uzbekistan 0.154 Negative increase 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 Steady 0
130  Botswana 0 Steady 0
130  Costa Rica 0 Steady 0
130  Cuba 0 Steady 0
130  Gabon 0 Steady 0
130  Gambia 0 Steady 0
130  Equatorial Guinea 0 Steady 0
130  Guyana 0 Steady 0
130  Haiti 0 Steady 0
130  Lithuania 0 Steady 0
130  Latvia 0 Steady 0
130  Mauritius 0 Steady 0
130  Malawi 0 Steady 0
130  Mongolia 0 Steady 0
130  Namibia 0 Steady 0
130  North Korea 0 Steady 0
130  Oman 0 Steady 0
130  Panama 0 Steady 0
130  Papua New Guinea 0 Steady 0
130  Poland 0 Steady 0
130  Romania 0 Steady 0
130  Sierra Leone 0 Steady 0
130  Singapore 0 Steady 0
130  El Salvador 0 Steady 0
130  Slovakia 0 Steady 0
130  Slovenia 0 Steady 0
130  Swaziland 0 Steady 0
130  Togo 0 Steady 0
130  Turkmenistan 0 Steady 0
130  Timor-Leste 0 Steady 0
130  Uruguay 0 Steady 0
130  Vietnam 0 Steady 0
130  Zambia 0 Steady 0

Methodology[edit]

GTI Scoring System[edit]

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:

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[edit]

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[edit]

References[edit]

  1. ^ "About the GTI". p. Vision of Humanity. Retrieved 11 February 2013. 
  2. ^ 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 (PDF) from the original on 11 April 2017. Retrieved 11 April 2017 – via ReliefWeb. 
  3. ^ a b "Global Terrorism Index 2014: Measuring And Understanding The Impact Of Terrorism" (PDF). Institute for Economics & Peace (published 16 November 2014). November 2016. Archived (PDF) from the original on 11 April 2017. Retrieved 11 April 2017. 
  4. ^ a b "Global Terrorism Index 2015: Measuring and Understanding the Impact of Terrorism" (PDF). Institute for Economics & Peace (published 17 November 2015). November 2015. ISBN 978-0-9942456-4-9. Archived (PDF) from the original on 11 April 2017. Retrieved 11 April 2017. 
  5. ^ a b "Global Terrorism Index 2016" (PDF). Institute for Economics & Peace. November 2016. pp. 94–95. ISBN 978-0-9942456-4-9. Archived (PDF) from the original on 10 April 2017. Retrieved 10 April 2017. 
  6. ^ "Global Terrorism Index Report". Vision of Humanity. Institute for Economics & Peace. 

External links[edit]