Terrorism and Criminal Activities Case Study 2022

Running head: TERRORISM
TERRORISM
Name of the Student
Name of the University
Author Note

1TERRORISM
Introduction
The aim of the project is to highlight and examine the data of different countries
pertaining to their overall Terrorist and criminal activities. In consideration with this, there takes
place considerate terrorist activities in various parts of the globe and the influence of each of
them is quite different for different countries (Jackson, 2018). Hence, the objective of this study
is to understand the manner in which the Terrorist groups have an impact on the employment and
associated aspects relating to the terrorist activities and the total kills.
Objectives
The objectives of the study can be outlined to be as follows:
 To understand the Terrorism activities and concepts related to it
 To form an association between the number of activity groups in a country and its
influence on the Total number of kills
 To find an association between the total number of attacks have a strong influence on the
unemployment or not.
 To provide examination of how the countries are affected by the overall Terrorism
activities.
 Another objective is to highlight the literature review and associated topics connected to
the topic.
Hypothesis
The hypothesis can be defined as a condition which is generally set for a study in order to
undermine the conditions being tested and to find the influence of the independent variable on
the dependent variable.
The two hypotheses which have been set for the paper can be mentioned to be as follows:
Hypothesis 1:
H1: The number of active groups has a considerate influence on the Total kills
H0: The number of active groups does not have a considerate influence on the Total kills

2TERRORISM
Hypothesis 2:
The second hypothesis which has been set for the study can be mentioned to be as
follows:
H1: The total number of attacks has a very strong influence on the unemployment rate.
H0: The total number of attacks does not have a very strong influence on the unemployment rate.
Research Rationale
The reason why conducting this research is essential is because terrorism, although a
popular topic has not be studied in the form of comparative study popular (Martin, 2017). In
association with this, it becomes considerately crucial to understand that by conducting this
study, the author will be able to understand the manner in which unemployment in a country is
affected by the number of attacks and additionally, the understanding of the active groups and its
influence on the number of kills will also be undertaken accordingly. The first hypothesis which
has been set for the study intends to find the correlation and regression which exists between the
number of active groups and skills. The active group does not have correlated variables and
hence, undertaking the study will assist in understanding the extent to which the killings increase
due to these groups. In addition to this, the second hypothesis as set will assist in ensuring that
the economic aspect of the business is left dependent on the number of attacks. It seeks to find
the fear instilled in people due to the attacks and loss of all operational activities.
Literature review
Measuring terrorism
According to Forrester et al (2019), the terrorism can be compared to a criminal violence
activity and poses a variety of challenges in the society. The definition of a terrorist is quite
challenging to define because of the various facts that it is not similar amongst all countries and
can be stated to be a relative concept. Hence, any activity which is undertaken as a terrorist
activity tends to ensure that there is a loss of livelihood and the innocent lives are affected.

3TERRORISM
The number of activity groups has an influence on Total kills
The terrorism can be described as the use of the intentional violence for political or
religious purposes. In the case of terrorism, it can be mentioned effective to consider that the
violence which takes place during the peacetime or in the war but against the noncombatants
which are the civilians can be said to be a terrorist activity (Fas.org , 2020). In association with
this, it can be effectively mentioned that terrorism came into highlight as a concept in the late
18th century but gained adequate popularity in the 1970s but the increase of the act was felt in
1980s onwards and the peak was felt in the September 11 attacks in the Washington DC and the
New York city in 2001 (Forbes.com ,2020).
There are various definitions of terrorism and is a charged term. However, the term is
most often used in context of something which can be believed to be morally wrong. In
consideration of this, there have been blames on various political organizations for making use of
the terrorism to achieve their overall objectives and this comprises of the right wing and the left
wing organizations, religious groups, national groups and the ruling government (Forbes.com,
2020). According to the Global Terrorism database, there have been more than 61000 incidents
of non-state tourism and several deaths associated to 140000 deaths between 2000 and 2014 due
to terrorism (Sönmez & Sönmez, 2019).
Hence , in context of this hypothesis which has been set down for the study, it can be
effectively mentioned that, there have not been any previous studies on the topic related to
finding the influence of the number of active groups on the deaths. However, it can be agreed to
it that the regions with a large number of terrorist is prone to more violence related activities.
Additionally, the active groups as a concept can be referred as to those groups who have been
carrying out terrorism activities regularly (Forrester et al., 2019). Hence, there is a considerate
Literature gap in this domain. The tourism industry has suffered greatly due to these terrorist
activities because the different customers no longer feel safe in travelling due to the increase of
tourist activities in the UK and France, their tourist footfall has been influenced. Hence, the
tourism like to harm the people and it is in association of this that popular tourist countries take
initiatives to ensure that, they are able to control the economic influences (Petroulakis, 2017).
Suicide terrorism

4TERRORISM
Related to this concept is another concept related to suicide terrorism. The concept states
that, the suicide terrorism cases have been rising around the globe and in association with this,
the phenomenon is being noted as a strategy. Hence, according to Pape (2003), the suicide
terrorism follows and functions on a simple logic which is related to the modern liberal
democracies and allow them to make significant territorial concessions. The article stated
several ways to collect it and reduce the overall confidence of the terrorist.
The total attacks has a strong influence on unemployment
Various studies have been conducted in the past to find the influence of the total number
of attacks on the unemployment rate (Combs, 2017). In consideration of this, it can be
effectively stated that the terrorist attacks have a significant influence on the overall economic
welfare as well. It is in consideration of this aspect that when any country is attacked then the
economic performance of the country depreciates. According to Forbes.com (2020), after the
outbreak of terrorism in the Basque country in Spain in the late 1960s, the economic growth has
declined in the region by an average of 10%. Moreover, the per capital income of the Israel
country would have been 10% higher if the aspect of terrorism could have been avoided earlier.
In association to this, the Turkey research also shows that the concept of terrorism as a whole has
a severe impact on the economy which is in its expansionary phase (Ourworld.indata.org , 2020).
Moreover, it is also believed that the different provinces would have had a higher GDP in case
they had not suffered from terrorism from 1988 to 2001. According to Forrester et al. (2019),
there exists a new factor which pertains to the domestic terrorism and the minority
discrimination. As the concept of terrorism cannot be undertaken as a mass phenomenon but
indeed an activity which is undertaken by a few actors, the economic status of the subnational
group acts as a predictor of the attack (Nacos 2016). The study states that the countries who have
been experiencing substantial minority discrimination ae more likely to engage in a domestic
terrorism attack. The economic discrimination as per the author tends to act as a great predictor
of the attacks.
Influence of terrorism on economic activities

5TERRORISM
Moreover, terrorism is known to have a critical influence over Unemployment, crime and
recession. The study outlines the manner in which the terrorism in an enterprise may increase the relative
chances of a recession. Moreover, according to Piazza (2011), the terrorism as an act tends to enforce a
limitation on the people and enable them to undertake strict measures which thereby impact the economy
as a whole and limited the different initiatives of the society as well.
Petroulakis (2017), states that various studies are conducted to understand if the immigrants
cause terrorism and thereby lead to the unemployment activities, the topic was chosen because it assisted
in understanding the phenomenon from the point of view of public safety. Hence, in association to this,
the study found that, there does not exist any relationship between immigrants and terrorism. Hence, in a
social context, it can be effectively mentioned that those countries which allow their minorities to suffer
unconditionally tend to face discrimination much more and are subject to facing the terrorist activities
much more than those countries where the minorities are not subject to discrimination (Forrester et al.,
2019). Additionally, the study also contributed to the fact that the poverty level of the country did not
have any influence on the terrorist attacks but the economic status of a country influences the terrorism to
a certain extent.
Descriptive Statistics
The descriptive statistics can be described as a section which shall provide explicit details
as to the varied responses which had been collected using the secondary method sing graphs and
charts (Chatterjee & Hadi, 2015). For the purpose of the analysis, the output of the main table
has been attached in the first appendix. This is then followed by the presentation of the charts in
this section and analysis of the responses and related trends.
Table 1
N Range
Minimu
m
Maximu
m Mean
Std.
Deviation Variance
Statisti
c Statistic Statistic Statistic Statistic
Std.
Error Statistic Statistic

6TERRORISM
Number of
Active
Terrorist
Groups
(2001-
2015)
116 165 1 166 10.50 1.844 19.860 394.409
Total
Terrorist
Attacks
(2001-
2015)
116 10901 1 10902 428.57 141.993 1529.311 2338792.1
26
Total Kills
from
Terrorist
Attacks
(2001-
2015)
116 26551.0
0
.00 26551.00 786.689
7
288.4200
6
3106.3791
1
9649591.1
55
%
Unemploy
ed
116 31.03 .60 31.63 8.2121 .52661 5.67172 32.168
Valid N
(list wise)
116
From the given table, it can be observed that the minimum statistics, maximum statistics
as well as the mean of the variables has been provided with. In addition to this, the variance and
the standard deviation have also been given. In consideration of this, it can be agreed to it that, it
can be observed that the minimum unemployed % of the population can be stated to be 0.6
whereby the highest can be observed as 31.63%. Additionally from 0 kills, the maximum of the
total kills is 26551 people . Additionally, from 1 terrorist attack in one of the 116 countries, there
have been 10902 attacks in some. Lastly, there are a maximum of 166 active terrorist group in
some countries to as low as 1 in a country.

7TERRORISM
The variables chosen for the hypothesis are as follows:
 Active terrorist Groups
 Number of kills
 Total terrorist attacks
 Unemployment %
Some graphical representation of these variables can be agreed to be as follows:

8TERRORISM
Afghanistan
Algeria
Argentina
Australia
Azerbaijan
Bangladesh
Belgium
Bhutan
Brazil
Burkina Faso
Cambodia
Canada
Chad
Colombia
Croatia
Cyprus
Denmark
Ecuador
Estonia
Fiji
France
Germany
Greece
Guinea
Guyana
Hungary
Indonesia
Israel
Jamaica
Kazakhstan
Kuwait
Lesotho
Madagascar
Malaysia
Mauritania
Moldova
Mozambique
Nepal
New Zealand
Niger
Pakistan
Paraguay
Philippines
Portugal
Romania
Saudi Arabia
Solomon Islands
Spain
Sudan
Sweden
Tajikistan
Thailand
Trinidad and Tobago
Turkey
Uganda
United Kingdom
Uruguay
Zambia
0 5 10 15 20 25 30 35
Unemployment
Unemployment
Figure 1

9TERRORISM
It can be observed from the figure that the largest unemployed rate has been observed in
Mauritania. Hence as a country, it has been poorly affected due to the Terrorist acts
(Visionofhumanity.org , 2020).

10TERRORISM
Afghanistan
Algeria
Argentina
Australia
Azerbaijan
Bangladesh
Belgium
Bhutan
Brazil
Burkina Faso
Cambodia
Canada
Chad
Colombia
Croatia
Cyprus
Denmark
Ecuador
Estonia
Fiji
France
Germany
Greece
Guinea
Guyana
Hungary
Indonesia
Israel
Jamaica
Kazakhstan
Kuwait
Lesotho
Madagascar
Malaysia
Mauritania
Moldova
Mozambique
Nepal
New Zealand
Niger
Pakistan
Paraguay
Philippines
Portugal
Romania
Saudi Arabia
Solomon Islands
Spain
Sudan
Sweden
Tajikistan
Thailand
Trinidad and Tobago
Turkey
Uganda
United Kingdom
Uruguay
Zambia
0 5000 10000 15000 20000 25000 30000
Total kills
Total kills

11TERRORISM
Figure 2
The highest number of kills has been observed to take place in Afghanistan. It can be effectively
stated that there have been more than 26000 kills in the country. The least affected nation here is
Bolivia, Latvia, Japan and Jamaica.

12TERRORISM
Afghanistan
Algeria
Argentina
Australia
Azerbaijan
Bangladesh
Belgium
Bhutan
Brazil
Burkina Faso
Cambodia
Canada
Chad
Colombia
Croatia
Cyprus
Denmark
Ecuador
Estonia
Fiji
France
Germany
Greece
Guinea
Guyana
Hungary
Indonesia
Israel
Jamaica
Kazakhstan
Kuwait
Lesotho
Madagascar
Malaysia
Mauritania
Moldova
Mozambique
Nepal
New Zealand
Niger
Pakistan
Paraguay
Philippines
Portugal
Romania
Saudi Arabia
Solomon Islands
Spain
Sudan
Sweden
Tajikistan
Thailand
Trinidad and Tobago
Turkey
Uganda
United Kingdom
Uruguay
Zambia
0 2000 4000 6000 8000 10000 12000
Total attacks
Total attacks
Figure 3

13TERRORISM
When the number of total attacks was assessed then in such a scenario, then it was essentially
found that, the highest number of cases was observed in Afghanistan at nearly 9500. On the other
hand, fewer cases were observed in Armenia, Benin and Ghana along with Uruguay.

14TERRORISM
Afghanistan
Algeria
Argentina
Australia
Azerbaijan
Bangladesh
Belgium
Bhutan
Brazil
Burkina Faso
Cambodia
Canada
Chad
Colombia
Croatia
Cyprus
Denmark
Ecuador
Estonia
Fiji
France
Germany
Greece
Guinea
Guyana
Hungary
Indonesia
Israel
Jamaica
Kazakhstan
Kuwait
Lesotho
Madagascar
Malaysia
Mauritania
Moldova
Mozambique
Nepal
New Zealand
Niger
Pakistan
Paraguay
Philippines
Portugal
Romania
Saudi Arabia
Solomon Islands
Spain
Sudan
Sweden
Tajikistan
Thailand
Trinidad and Tobago
Turkey
Uganda
United Kingdom
Uruguay
Zambia
0 20 40 60 80 100 120 140 160 180
Active groups
Active groups
Figure 4

15TERRORISM
When the assessment of the Active groups was taken it could be agreed that, the highest number
of active terrorists group were in India at 166. In association with this, India can be understood to
be at a high alert.
Hypothesis tests
Hypothesis 1:
H1: The number of active groups has a considerate influence on the Total kills
H0: The number of active groups does not have a considerate influence on the Total kills
The first hypothesis aimed to find the active groups and their impact on the kills. It was
successfully found that, the correlation between the two variables was moderate at 0.499. The
value of the R square at 0.249 depicts that 24% of the association between the kills and the active
groups can be predicted.
For this study, the Regression test has been undertaken as through the Regression
analysis, it serves as a viable method of testing the hypothesis and the extent to which the
dependent variable is greatly dependent on the independent variable. The value of the Significant
P helps in assessing this (Chatterjee & Hadi, 2015). From the second table, last column, the
value of the Significant P is taken to be less than 0.05 and hence, here as the P value is less, the
Null Hypothesis can be rejected and the alternate one can be accepted thus signifying that the
active groups have a considerate impact on the total kills.
Tables 2, 3 and 4
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of
the Estimate
1 .499a .249 .243 2703.39253
a. Predictors: (Constant), Number of Active Terrorist
Groups (2001-2015)

16TERRORISM
ANOVAa
Model
Sum of
Squares df Mean Square F Sig.
1 Regression 276553227.1
36
1 276553227.1
36
37.841 .000b
Residual 833149755.6
92
114 7308331.190
Total 1109702982.
827
115
a. Dependent Variable: Total Kills from Terrorist Attacks (2001-2015)
b. Predictors: (Constant), Number of Active Terrorist Groups (2001-2015)
Coefficients
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) -33.202 284.196 -.117 .907
Number of Active
Terrorist Groups (2001-
2015)
78.085 12.694 .499 6.151 .000
a. Dependent Variable: Total Kills from Terrorist Attacks (2001-2015)
The number of active group’s coefficient in this equation is 78.085 which mean that a
mean increase in the total number of kills for every additional increase in the number of group is
in this measure. Hence, if the groups increase by 1, then in such a case, the number of kills will
increase by 78.05 in number.

17TERRORISM
Figure 5 and 6

18TERRORISM
The given table gives the value of the regression line and here it can be witnessed that the
killings do get affected by the active groups and the countries with lower number of active
groups should less killings.
Hypothesis 2:
H1: The total number of attacks has a very strong influence on the unemployment rate.
H0: The total number of attacks does not have a very strong influence on the unemployment rate.
The second hypothesis aimed to find the total attacks and their impact on the
unemployment rate. It was successfully found that, the correlation between the two variables was
quite low at 0.58.Furthermore; the value of the R square at 0.003 reflects no association between
the variables.
The ANOVAa has been used for the study. The value of the Significant P helps in
assessing the hypothesis and from the second table, last column, the value of the Significant P is
taken to be 0.535 which is much more than 0.05 and hence, stated earlier, as the value of p is
greater than the 0.05, the null hypothesis has to be accepted and the alternate has to be rejected
this signifying that this signifies that the number of attacks doe s not have strong influence on the
unemployment rate and the data is insufficient.
Tables 5, 6 and 7
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of
the Estimate
1 .058a .003 -.005 5.68689
a. Predictors: (Constant), Total Terrorist Attacks (2001-
2015)

19TERRORISM
ANOVAa
Model
Sum of
Squares df Mean Square F Sig.
1 Regression 12.531 1 12.531 .387 .535b
Residual 3686.838 114 32.341
Total 3699.369 115
a. Dependent Variable: % Unemployed
b. Predictors: (Constant), Total Terrorist Attacks (2001-2015)
Coefficients
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 8.305 .549 15.140 .000
Total Terrorist Attacks
(2001-2015)
.000 .000 -.058 -.622 .535
a. Dependent Variable: % Unemployed
The given table reflects that there is no relation between the independent variable and the
dependent variable. Hence, in case the terrorist attacks increase, the unemployment would not be
affected.

20TERRORISM
Figure 7 and 8

21TERRORISM
Interpretation of Results
Hence, from the two hypothesis set for the study, one hypothesis was proven true
whereby the second one was proven incorrect. It could be assessed that it was found that the
terrorist active group’s numbers have an impact on the total kills. On the other hand, in the
second hypothesis, no association could be established between the attacks and the
unemployment rate. The ANOVAa tool was use for both the testing’s. The second result was
quite surprising based on the fact that, in the Literature review a significant connection between
the variables was examined (Fox, 2015). The impact of the terrorist attacks on the economy is
related to regional growth and development as well whereby; the GDP per capital growth has
been affected greatly. In addition to this, the reduction in the income has led to a growth of the
unemployment (Visionofhumanity.org , 2020). Hence, in the domain of the impact of terrorist
activities and associated aspect, it can be agreed to it that several studies have been undertaken in
the past and more so will be undertaken in the future but this study can be mentioned to be
unique because no such study has taken place earlier whereby the impact of the terrorists attacks
was assessed on the unemployment rate of the countries (Ourworld.indata.org , 2020). Hence,
this study has aimed to fulfill the research gap. This study focused on fulfilling the gap. With
respect to the first hypothesis, previous studies had proven the fact that adequate groups cause
greater kills which was proven in this study as well.

22TERRORISM
References
Chatterjee, S., & Hadi, A. S. (2015). Regression analysis by example. John Wiley & Sons.
Combs, C. C. (2017). Terrorism in the twenty-first century. Routledge.
Fas.org (2020). Data [online] Available at: https://fas.org/irp/threat/frd.html (Retrieved on: 28
Mar. 2020).
Forbes.com (2020). Data [online] Available at:
https://www.forbes.com/sites/dominicdudley/2018/12/05/deadliest-terrorist-groups-in-
the-world/#7897be422b3e (Retrieved on: 28 Mar. 2020).
Forrester, A. C., Powell, B., Nowrasteh, A., & Landgrave, M. (2019). Do immigrants import
terrorism?. Journal of Economic Behavior & Organization, 166, 529-543.
Fox, J. (2015). Applied regression analysis and generalized linear models. Sage Publications.
Jackson, R. (2018). Writing the war on terrorism: Language, politics and counter-terrorism.
Martin, G. (2017). Understanding terrorism: Challenges, perspectives, and issues. SAGE
publications.
Nacos, B. L. (2016). Terrorism and counterterrorism. Routledge.
Ourworld.indata.org (2020). Data [online] Available at: https://ourworldindata.org/terrorism
(Retrieved on: 28 Mar. 2020).
Pape, R. A. (2003). The strategic logic of suicide terrorism. American political science
review, 97(3), 343-361.
Petroulakis, F. (2017). Crime and Unemployment Insurance in the Great Recession. Available at
SSRN 2968343.
Piazza, J. A. (2011). Poverty, minority economic discrimination, and domestic terrorism. Journal
of Peace Research, 48(3), 339-353.

23TERRORISM
Sönmez, S. F., & Sönmez, S. (2019). Tourism, Terrorism and Political Instability.
Visionofhumanity.org (2020). Data [online] Available at:
http://visionofhumanity.org/app/uploads/2017/11/Global-Terrorism-Index-2017.pdf
(Retrieved on: 28 Mar. 2020).
Appendix
Country
Active
groups
Total
attacks
Total
kills
Unemploymen
t
Afghanistan 26 9552 26551 8.61
Albania 1 10 1 14.34
Algeria 28 1189 3142 15.01
Angola 7 49 911 6.85
Argentina 10 18 0 10.56
Armenia 1 7 2 23.84
Australia 6 25 6 5.41
Austria 4 14 1 4.46
Azerbaijan 3 13 7 6.88
Bahrain 10 143 22 4.11
Bangladesh 29 922 366 4.29
Belarus 3 9 13 6.26
Belgium 2 16 5 7.79
Benin 1 1 0 1.03
Bhutan 3 6 9 2.86
Bolivia 3 9 0 4.05
Brazil 4 20 10 8.01
Bulgaria 3 14 9 11.45
Burkina Faso 5 6 7 3.01
Burundi 10 239 728 7.16
Cambodia 3 15 10 0.91

24TERRORISM
Cameroon 7 161 1766 4.75
Canada 9 29 7 7.12
Central African
Republic 15 192 1189 7.02
Chad 13 62 744 6.99
Chile 10 62 3 7.83
Colombia 20 1737 2330 12.18
Costa Rica 1 1 1 6.77
Croatia 1 9 0 13.5
Cuba 1 1 1 2.56
Cyprus 1 21 0 6.84
Czech Republic 4 16 2 6.94
Denmark 2 7 2 5.56
Dominican Republic 1 2 0 15.56
Ecuador 8 21 1 6.14
Eritrea 4 7 40 7.36
Estonia 1 4 2 9.72
Ethiopia 10 59 378 5.49
Fiji 1 1 0 7.44
Finland 3 11 9 8.12
France 29 341 174 9
Georgia 6 100 46 14.03
Germany 20 110 17 7.85
Ghana 1 1 0 4.94
Greece 65 445 8 13.77
Guatemala 4 18 16 2.83
Guinea 1 5 1 1.86
Guinea-Bissau 1 9 17 6.84
Guyana 2 8 33 11.54
Honduras 2 14 37 4.06
Hungary 1 6 3 8.17

25TERRORISM
India 166 6721 8309 3.88
Indonesia 25 399 631 8.27
Ireland 6 135 2 8.29
Israel 39 1074 938 7.89
Italy 20 94 3 8.78
Jamaica 1 2 0 12.24
Japan 6 26 0 4.51
Kazakhstan 4 15 16 7.08
Kenya 13 435 1207 9.41
Kuwait 5 10 37 2.01
Latvia 1 1 0 11.76
Lesotho 1 3 1 30.72
Liberia 2 11 18 4.24
Madagascar 3 12 3 3.92
Malawi 1 1 1 7.64
Malaysia 2 36 6 3.27
Mali 19 286 644 8.34
Mauritania 4 13 39 31.63
Mexico 16 91 146 4.01
Moldova 1 3 2 6.32
Morocco 4 13 70 10.17
Mozambique 2 49 78 22.64
Namibia 2 6 1 21.86
Nepal 59 857 1809 2.57
Netherlands 5 15 9 4.19
New Zealand 3 10 0 5.21
Nicaragua 1 2 5 6.34
Niger 6 76 807 5.07
Norway 3 7 78 3.53
Pakistan 89 10902 18203 6.03
Panama 1 1 1 8.05

26TERRORISM
Paraguay 2 54 34 6.3
Peru 3 59 115 4.64
Philippines 31 3456 3209 8.5
Poland 1 1 0 13
Portugal 1 2 0 9.44
Qatar 3 3 3 0.66
Romania 1 1 0 7.07
Rwanda 4 27 61 0.6
Saudi Arabia 13 169 376 5.58
Senegal 3 42 110 9.33
Solomon Islands 2 2 2 3.86
South Africa 7 50 20 24.54
Spain 10 300 223 15.64
Sri Lanka 13 750 2358 6.19
Sudan 26 605 3077 14.71
Swaziland 4 5 0 22.76
Sweden 5 53 5 7.1
Switzerland 6 10 14 3.92
Tajikistan 5 19 29 11.64
Tanzania 8 41 48 3.19
Thailand 28 3108 2163 1.27
Togo 1 1 0 7.06
Trinidad and Tobago 1 7 0 6.64
Tunisia 11 79 223 13.96
Turkey 18 1033 1171 10.36
Turkmenistan 2 2 3 10.97
Uganda 8 135 931 3.47
Ukraine 16 1556 2165 8.01
United Kingdom 42 765 83 6.14
United States 18 305 3124 6.63
Uruguay 1 1 0 7.88

27TERRORISM
Vietnam 1 4 0 2.28
Zambia 1 1 0 14.48
Zimbabwe 6 25 18 5.17