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| 1|| {{flagicon|India}} India||9.075 | 1|| {{flagicon|India}} India||9.075
|-
| 2|| {{flagicon|Pakistan}} Pakistan|| 9.049
|-
| 3|| {{flagicon|Afghanistan}} Afghanistan|| 8.669
|-
|- 114|| {{flagicon|Vietnam}} Vietnam|| 8.065
|-
| 5|| {{flagicon|Yemen}} Yemen|| 7.305
|-
| 6|| {{flagicon|Somalia}} Somalia|| 7.244
|-
| 7|| {{flagicon|Nigeria}} Nigeria|| 7.242
|-
| 8|| {{flagicon|Thailand}} Thailand|| 7.086
|-
| 9|| {{flagicon|Russia}} Russia|| 7.068
|-
| 10|| {{flagicon|Philippines}} Philippines|| 6.801
|-
| 11|| {{flagicon|Sudan}} Sudan|| 6.304
|-
| 12|| {{flagicon|Democratic Republic of the Congo}} Democratic Republic of the Congo|| 6.182
|-
| 13|| {{flagicon|Colombia}} Colombia|| 6.055
|-
| 14|| {{flagicon|Syria}} Syria|| 5.861
|-
| 15|| {{flagicon|Algeria}} Algeria|| 5.831
|-
| 16|| {{flagicon|Sri Lanka}} Sri Lanka|| 5.680
|-
| 17|| {{flagicon|Iran}} Iran|| 5.633
|-
| 18|| {{flagicon|Kenya}} Kenya|| 5.266
|-
| 19|| {{flagicon|Turkey}} Turkey|| 5.238
|-
| 20|| {{flagicon|Israel}} Israel|| 5.155
|-
| 21|| {{flagicon|Norway}} Norway|| 5.031
|-
| 22|| {{flagicon|Nepal}} Nepal|| 5.017
|-
| 23|| {{flagicon|China}} China|| 4.992
|-
| 24|| {{flagicon|Burundi}} Burundi|| 4.899
|-
| 25|| {{flagicon|Central African Republic}} Central African Republic|| 4.844
|-
| 26|| {{flagicon|Greece}} Greece|| 4.597
|-
| 27|| {{flagicon|Egypt}} Egypt|| 4.576
|-
| 28|| {{flagicon|United Kingdom}} United Kingdom|| 4.509
|-
| 29|| {{flagicon|Indonesia}} Indonesia|| 4.505
|-
| 30|| {{flagicon|Uganda}} Uganda|| 4.492
|-
| 31|| {{flagicon|Lebanon}} Lebanon|| 4.483
|-
| 32|| {{flagicon|Belarus}} Belarus|| 4.256
|-
| 33|| {{flagicon|Ivory Coast}} Ivory Coast|| 3.990
|-
| 34|| {{flagicon|Eritrea}} Eritrea|| 3.917
|-
| 35|| {{flagicon|Senegal}} Senegal|| 3.864
|-
| 36|| {{flagicon|Ethiopia}} Ethiopia|| 3.732
|-
| 37|| {{flagicon|Rwanda}} Rwanda|| 3.729
|-
| 38|| {{flagicon|Bangladesh}} Bangladesh|| 3.672
|-
| 39|| {{flagicon|Morocco}} Morocco|| 3.599
|-
| 40|| {{flagicon|United States}} United States|| 3.566
|-
| 41|| {{flagicon|Georgia}} Georgia|| 3.428
|-
| 42|| {{flagicon|Mali}} Mali|| 3.389
|-
| 43|| {{flagicon|Niger}} Niger|| 3.266
|-
| 44|| {{flagicon|Spain}} Spain|| 3.086
|-
| 45|| {{flagicon|Chad}} Chad|| 3.010
|-
| 46|| {{flagicon|Kazakhstan}} Kazakhstan|| 2.804
|-
| 47|| {{flagicon|Saudi Arabia}} Saudi Arabia|| 2.708
|-
| 48|| {{flagicon|Qatar}} Qatar|| 2.680
|-
| 49|| {{flagicon|Chile}} Chile|| 2.636
|-
| 50|| {{flagicon|Cameroon}} Cameroon|| 2.627
|-
| 51|| {{flagicon|Peru}} Peru|| 2.491
|-
| 52|| {{flagicon|Tunisia}} Tunisia|| 2.358
|-
| 53|| {{flagicon|Mauritania}} Mauritania|| 2.181
|-
| 54|| {{flagicon|Paraguay}} Paraguay|| 2.174
|-
| 55|| {{flagicon|Ukraine}} Ukraine|| 2.163
|-
| 56|| {{flagicon|Italy}} Italy|| 2.066
|-
| 57|| {{flagicon|Netherlands}} Netherlands|| 2.037
|-
| 58|| {{flagicon|Tajikistan}} Tajikistan|| 2.016
|-
| 59|| {{flagicon|Mexico}} Mexico|| 2.008
|-
| 60|| {{flagicon|Sweden}} Sweden|| 1.755
|-
| 61|| {{flagicon|Germany}} Germany|| 1.743
|-
| 62|| {{flagicon|France}} France|| 1.731
|-
| 63|| {{flagicon|Australia}} Australia|| 1.720
|-
| 64|| {{flagicon|Angola}} Angola|| 1.696
|-
| 65|| {{flagicon|Venezuela}} Venezuela|| 1.620
|-
| 66|| {{flagicon|Argentina}} Argentina|| 1.475
|-
| 67|| {{flagicon|Ireland}} Ireland|| 1.456
|-
| 68|| {{flagicon|Austria}} Austria|| 1.408
|-
| 69|| {{flagicon|Bosnia and Herzegovina}} Bosnia and Herzegovina|| 1.369
|-
| 70|| {{flagicon|Zimbabwe}} Zimbabwe|| 1.360
|-
| 71|| {{flagicon|Bhutan}} Bhutan|| 1.235
|-
| 72|| {{flagicon|Honduras}} Honduras|| 1.225
|-
| 73|| {{flagicon|Canada}} Canada|| 1.177
|-
| 74|| {{flagicon|Switzerland}} Switzerland|| 1.173
|-
| 75|| {{flagicon|Serbia}} Serbia|| 1.168
|-
| 76|| {{flagicon|Denmark}} Denmark|| 1.129
|-
| 77|| {{flagicon|Portugal}} Portugal|| 1.129
|-
| 78|| {{flagicon|Moldova}} Moldova|| 0.992
|-
| 79|| {{flagicon|Guyana}} Guyana|| 0.976
|-
| 80|| {{flagicon|Azerbaijan}} Guyana|| 0.867
|-
| 81|| {{flagicon|Bulgaria}} Bulgaria|| 0.741
|-
| 82|| {{flagicon|Ecuador}} Ecuador|| 0.679
|-
| 83|| {{flagicon|Macedonia}} Macedonia|| 0.624
|-
| 85|| {{flagicon|Bahrain}} Bahrain|| 0.616
|-
| 84|| {{flagicon|Jordan}} Jordan|| 0.585
|-
| 85|| {{flagicon|Uzbekistan}} Uzbekistan|| 0.585
|-
| 86|| {{flagicon|Czech Republic}} Czech Republic|| 0.522
|-
| 87|| {{flagicon|Madagascar}} Madagascar|| 0.435
|-
| 88|| {{flagicon|Bolivia}} Bolivia|| 0.415
|-
| 89|| {{flagicon|Malaysia}} Malaysia|| 0.415
|-
| 90|| {{flagicon|Kyrgyzstan}} Kyrgyzstan|| 0.395
|-
| 91|| {{flagicon|Libya}} Libya|| 0.346
|-
| 92|| {{flagicon|Hungary}} Hungary|| 0.277
|-
| 93|| {{flagicon|Equatorial Guinea}} Equatorial Guinea|| 0.217
|-
| 94|| {{flagicon|Mozambique}} Mozambique|| 0.203
|-
| 95|| {{flagicon|Armenia}} Armenia|| 0.188
|-
| 96|| {{flagicon|Estonia}} Estonia|| 0.158
|-
| 97|| {{flagicon|Guinea-Bissau}} Guinea-Bissau|| 0.158
|-
| 98|| {{flagicon|Kuwait}} Kuwait|| 0.158
|-
| 99|| {{flagicon|Albania}} Albania|| 0.119
|-
| 100|| {{flagicon|Cambodia}} Cambodia|| 0.119
|-
| 101|| {{flagicon|Tanzania}} Tanzania|| 0.119
|-
| 102|| {{flagicon|New Zealand}} New Zealand|| 0.079
|-
| 103|| {{flagicon|United Arab Emirates}} United Arab Emirates|| 0.079
|-
| 104|| {{flagicon|Haiti}} Haiti|| 0.074
|-
| 105|| {{flagicon|Belgium}} Belgium|| 0.069
|-
| 106|| {{flagicon|Finland}} Finland|| 0.069
|-
| 107|| {{flagicon|Japan}} Japan|| 0.059
|-
| 108|| {{flagicon|Swaziland}} Swaziland|| 0.059
|-
| 109|| {{flagicon|South Africa}} South Africa|| 0.054
|-
| 110|| {{flagicon|Cyprus}} Cyprus|| 0.049
|-
| 111|| {{flagicon|Lesotho}} Lesotho|| 0.040
|-
| 112|| {{flagicon|Benin}} Benin|| 0.030
|-
| 113|| {{flagicon|Papua New Guinea}} Papua New Guinea|| 0.010
|-
| 114|| {{flagicon|Botswana}} Botswana|| 0
|-
| 114|| {{flagicon|Brazil}} Brazil|| 0
|-
| 114|| {{flagicon|Burkina Faso}} Burkina Faso|| 0
|-
| 114|| {{flagicon|Republic of the Congo}} Republic of the Congo|| 0
|-
| 114|| {{flagicon|Costa Rica}} Costa Rica|| 0
|-
| 114|| {{flagicon|Croatia}} Croatia|| 0
|-
| 114|| {{flagicon|Cuba}} Cuba|| 0
|-
| 114|| {{flagicon|Djibouti}} Djibouti|| 0
|-
| 114|| {{flagicon|Dominican Republic}} Dominican Republic|| 0
|-
| 114|| {{flagicon|El Salvador}} El Salvador|| 0
|-
| 114|| {{flagicon|Gabon}} Gabon|| 0
|-
| 114|| {{flagicon|Gambia}} Gambia|| 0
|-
| 114|| {{flagicon|Ghana}} Ghana|| 0
|-
| 114|| {{flagicon|Guinea}} Guinea|| 0
|-
| 114|| {{flagicon|Iceland}} Iceland|| 0
|-
| 114|| {{flagicon|Jamaica}} Jamaica|| 0
|-
| 114|| {{flagicon|Laos}} Laos|| 0
|-
| 114|| {{flagicon|Latvia}} Latvia|| 0
|-
| 114|| {{flagicon|Liberia}} Liberia|| 0
|-
| 114|| {{flagicon|Lithuania}} Lithuania|| 0
|-
| 114|| {{flagicon|Malawi}} Malawi|| 0
|-
| 114|| {{flagicon|Mauritius}} Mauritius|| 0
|-
| 114|| {{flagicon|Mongolia}} Mongolia|| 0
|-
| 114|| {{flagicon|Namibia}} Namibia|| 0
|-
| 114|| {{flagicon|Nicaragua}} Nicaragua|| 0
|-
| 114|| {{flagicon|North Korea}} North Korea|| 0
|-
| 114|| {{flagicon|Oman}} Oman|| 0
|-
| 114|| {{flagicon|Panama}} Panama|| 0
|-
| 114|| {{flagicon|Poland}} Poland|| 0
|-
| 114|| {{flagicon|Romania}} Romania|| 0
|-
| 114|| {{flagicon|Sierra Leone}} Sierra Leone|| 0
|-
| 114|| {{flagicon|Singapore}} Singapore|| 0
|-
| 114|| {{flagicon|Slovakia}} Slovakia|| 0
|-
| 114|| {{flagicon|Slovenia}} Slovenia|| 0
|-
| 114|| {{flagicon|South Korea}} South Korea|| 0
|-
| 114|| {{flagicon|Taiwan}} Taiwan|| 0
|-
| 114|| {{flagicon|Trinidad and Tobago}} Trinidad and Tobago|| 0
|-
| 114|| {{flagicon|Turkmenistan}} Turkmenistan|| 0
|-
| 114|| {{flagicon|Uruguay}} Uruguay|| 0
|-
| 114|| {{flagicon|Vietnam}} Vietnam|| 0
|-
| 114|| {{flagicon|Zambia}} Zambia|| 0
|}


==Methodology== ==Methodology==

Revision as of 08:54, 31 May 2013

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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 a thorough 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 104,000 cases of terrorism.

Global Terrorism Index rankings

Rank Country Score
1 India India 9.075

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. It should be noted 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 a 2, and more than $1 billion a 3. It should be noted 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.

External links
Categories: