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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

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

2012

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

2014

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

2015

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

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 Positive decrease −0.04
2  Afghanistan 9.444 Negative increase 0.229
3  Nigeria 9.314 Negative increase 0.075
4  Pakistan 8.613 Positive decrease −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 Positive decrease −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 Positive decrease −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 Positive decrease −0.04
20  Central African Republic 6.518 Positive decrease −0.229
21  South Sudan 6.497 Positive decrease −0.273
22  Bangladesh 6.479 Negative increase 0.959
23  China 6.108 Positive decrease −0.206
24  Lebanon 6.068 Positive decrease −0.122
25  Mali 6.03 Negative increase 0.347
26  Colombia 5.954 Positive decrease −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 Positive decrease −0.623
31  Burundi 5.417 Negative increase 2.156
32  Saudi Arabia 5.404 Negative increase 1.678
33  Israel 5.248 Positive decrease −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 Positive decrease −0.027
39  Nepal 4.415 Negative increase 0.063
40  Uganda 4.327 Positive decrease −0.615
41  Germany 4.308 Negative increase 1.582
42  Algeria 4.282 Positive decrease −0.377
43  Greece 4.218 Positive decrease −0.011
44  Bahrain 4.206 Positive decrease −0.299
45  Myanmar 4.167 Negative increase 0.364
46  Sweden 3.984 Negative increase 1.858
47  Iran 3.949 Positive decrease −0.226
48  Paraguay 3.84 Negative increase 0.286
49  Tanzania 3.832 Positive decrease −0.125
50  Mexico 3.723 Positive decrease −0.129
51  Mozambique 3.536 Positive decrease −0.551
52  South Africa 3.531 Negative increase 1.676
53  Sri Lanka 3.486 Positive decrease −0.194
54  Ethiopia 3.454 Positive decrease −0.007
55  Ireland 3.429 Negative increase 0.1
56  Tajikistan 3.086 Negative increase 1.368
57  Peru 2.984 Positive decrease −0.046
58  Jordan 2.858 Negative increase 1.363
59  Australia 2.742 Positive decrease −0.026
60  Chile 2.699 Positive decrease −0.659
61  Malaysia 2.691 Positive decrease −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 Positive decrease −0.638
65  Rwanda 2.589 Positive decrease −0.726
66  Canada 2.518 Positive decrease −0.084
67  Japan 2.447 Negative increase 2.447
68  Finland 2.377 Negative increase 2.377
69  Italy 2.363 Positive decrease −0.205
70  Kosovo 2.205 Positive decrease −0.357
71  Czech Republic 2.179 Negative increase 0.25
72  Ivory Coast 2.177 Positive decrease −0.752
73  Denmark 2.152 Negative increase 2.061
74  Nicaragua 2.093 Positive decrease −0.656
75  Norway 2.077 Positive decrease −0.656
76  Cyprus 2.04 Positive decrease −0.301
77  Venezuela 1.998 Negative increase 0.357
78  North Macedonia 1.86 Negative increase 0.02
79  Djibouti 1.78 Positive decrease −0.691
80  Brazil 1.74 Positive decrease −0.306
81  Madagascar 1.671 Positive decrease −0.67
82  Bulgaria 1.631 Positive decrease −0.38
83  Dominican Republic 1.562 Positive decrease −0.649
84  Kyrgyzstan 1.445 Negative increase 0.134
85  Guinea 1.403 Negative increase 0.942
86  Belarus 1.357 Positive decrease −0.698
87  Georgia 1.257 Positive decrease −0.677
88  Belgium 1.245 Positive decrease −0.684
89  Spain 1.203 Positive decrease −0.701
90  Honduras 1.144 Positive decrease −0.666
90  Guatemala 1.144 Positive decrease −0.666
92  Albania 1.103 Positive decrease −0.498
92  Estonia 1.103 Negative increase 1.026
94  Kazakhstan 0.934 Positive decrease −0.658
95  Morocco 0.892 Positive decrease −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 Positive decrease −1.082
101  Argentina 0.499 Positive decrease −0.491
101  Trinidad and Tobago 0.499 Positive decrease −0.28
103  United Arab Emirates 0.422 Positive decrease −0.635
104  Zimbabwe 0.413 Positive decrease −0.61
105  Republic of the Congo 0.365 Positive decrease −0.47
106  Azerbaijan 0.346 Positive decrease −0.433
106  Ghana 0.346 Positive decrease −0.433
108  Switzerland 0.288 Positive decrease −0.323
108  Armenia 0.288 Negative increase 0.173
110  Iceland 0.25 Positive decrease −0.249
110  Liberia 0.25 Positive decrease −0.249
112  Hungary 0.23 Positive decrease −0.231
112  New Zealand 0.23 Positive decrease −0.231
112  South Korea 0.23 Negative increase 0.23
112  Qatar 0.23 Negative increase 0.23
116  Austria 0.182 Positive decrease −0.183
117  Montenegro 0.154 Positive decrease −0.153
117  Uzbekistan 0.154 Negative increase 0.154
119  Bhutan 0.115 Positive decrease −0.115
119  Jamaica 0.115 Positive decrease −0.115
121  Serbia 0.086 Positive decrease −0.135
122  Guinea-Bissau 0.077 Positive decrease −0.077
122  Cambodia 0.077 Positive decrease −0.077
122  Taiwan 0.077 Positive decrease −0.077
125  Mauritania 0.067 Positive decrease −0.125
126  Portugal 0.058 Positive decrease −0.057
126  Croatia 0.058 Positive decrease −0.057
128  Bolivia 0.038 Positive decrease −0.039
129  Moldova 0.019 Positive decrease −0.019
130  Angola 0 Positive decrease −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  Eswatini 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

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:

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

References

  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 from the original (PDF) on 11 April 2017. Retrieved 11 April 2017 – via ReliefWeb. {{cite web}}: Unknown parameter |dead-url= ignored (|url-status= suggested) (help)
  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 from the original (PDF) on 11 April 2017. Retrieved 11 April 2017. {{cite web}}: Unknown parameter |dead-url= ignored (|url-status= suggested) (help)
  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 from the original (PDF) on 11 April 2017. Retrieved 11 April 2017. {{cite web}}: Unknown parameter |dead-url= ignored (|url-status= suggested) (help)
  5. ^ a b "Global Terrorism Index 2016" (PDF). Institute for Economics & Peace. November 2016. pp. 94–95. ISBN 978-0-9942456-4-9 (PDF). Retrieved 10 April 2017. {{cite web}}: Check |archive-url= value (help); Unknown parameter |dead-url= ignored (|url-status= suggested) (help)
  6. ^ "Global Terrorism Index Report". Vision of Humanity. Institute for Economics & Peace.

External links