2014 millennial survey regions and countries dataset

660
Dataset Audiences MOE +/- Global Total 6,702 ± 1.2 US United States 1,000 ± 3.1 Western Europe Spain 500 ± 4.4 United Kingdom 501 ± 4.4 Germany 500 ± 4.4 Total Western Europe 1501 ± 2.5 Latin America Mexico 501 ± 4.4 Brazil 500 ± 4.4 Argentina 500 ± 4.4 Chile 500 ± 4.4 Peru 300 ± 5.7 Venezuela 250 ± 6.2 Colombia 300 ± 5.7 Ecuador 300 ± 5.7 Uruguay 300 ± 5.7 Panama 150 ± 8.0 Costa Rica 150 ± 8.0 Nicaragua 150 ± 8.0 Guatemala 150 ± 8.0 El Salvador 150 ± 8.0 Total Latin America 4,201 ± 1.5 Total Hispam 3701 ± 1.6 Central America 750 ± 3.6 Sample size 2014 Global Millennial Survey

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Page 1: 2014 Millennial Survey Regions and Countries Dataset

Dataset Audiences MOE +/-

Global Total 6,702 ± 1.2

US United States 1,000 ± 3.1

Spain 500 ± 4.4

United Kingdom 501 ± 4.4

Germany 500 ± 4.4

Total Western Europe 1501 ± 2.5

Latin America

Mexico 501 ± 4.4

Brazil 500 ± 4.4

Argentina 500 ± 4.4

Chile 500 ± 4.4

Peru 300 ± 5.7

Venezuela 250 ± 6.2

Colombia 300 ± 5.7

Ecuador 300 ± 5.7

Uruguay 300 ± 5.7

Panama 150 ± 8.0

Costa Rica 150 ± 8.0

Nicaragua 150 ± 8.0

Guatemala 150 ± 8.0

El Salvador 150 ± 8.0

Total Latin America 4,201 ± 1.5

Total Hispam 3701 ± 1.6

Central America 750 ± 3.6

Sample size

Western Europe

2014 Global Millennial Survey

Page 2: 2014 Millennial Survey Regions and Countries Dataset

Penn Schoen Berland conducted 6,702 quantitative interviews among Millennial adults aged 18-30, across 18 countries, between 23 June and 4 August 2014.

Please note: Country sample sizes are weighted by the percent of the population in each country with access to the Internet.

Additionally, within each country, gender and age are weighted. Within the US, the proportion of US Hispanic / US Non-Hispanic is weighted to US Census

Page 3: 2014 Millennial Survey Regions and Countries Dataset
Page 4: 2014 Millennial Survey Regions and Countries Dataset
Page 5: 2014 Millennial Survey Regions and Countries Dataset

Telefonica - 2014 Global Millennial Survey: Global DatasetOct-14

Table q1 - In which country do you live?

REGIONBase US W. Europe

Base 6702 1000 1501Argentina 4% 0% 0%Australia 0% 0% 0%Brazil 15% 0% 0%Canada 0% 0% 0%Chile 2% 0% 0%China 0% 0% 0%Colombia 3% 0% 0%Costa Rica 1% 0% 0%Czech Republic 0% 0% 0%Ecuador 1% 0% 0%Egypt 0% 0% 0%El Salvador 1% 0% 0%France 0% 0% 0%Germany 10% 0% 43%Guatemala 1% 0% 0%India 0% 0% 0%Israel 0% 0% 0%Italy 0% 0% 0%Japan 0% 0% 0%Korea 0% 0% 0%Mexico 7% 0% 0%Nicaragua 1% 0% 0%Panama 1% 0% 0%Peru 2% 0% 0%Poland 0% 0% 0%Russia 0% 0% 0%Saudi Arabia 0% 0% 0%South Africa 0% 0% 0%Spain 5% 0% 22%Turkey 0% 0% 0%UK 8% 0% 36%Uruguay 1% 0% 0%US 34% 100% 0%Venezuela 2% 0% 0%Other 0% 0% 0%

Page 6: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table q2 - What is your age?

REGIONBase US W. Europe

Base 6702 1000 150118 8% 9% 8%19 7% 6% 6%20 8% 8% 8%21 8% 8% 9%22 7% 7% 7%23 7% 9% 7%24 8% 9% 9%25 9% 7% 7%26 7% 7% 9%27 8% 8% 8%28 8% 9% 8%29 7% 7% 7%30 7% 7% 8%

Mean 24.03 23.95 24.08Standard Deviation 3.72 3.73 3.73

Cell Contents: - Column Percentage

;Table q2A -

REGIONBase US W. Europe

Base 6702 1000 150118-24 53% 55% 53%25-30 47% 45% 47%All Else 0% 0% 0%

Cell Contents: - Column Percentage

;

Page 7: 2014 Millennial Survey Regions and Countries Dataset

Table q3 - Please select your gender.

REGIONBase US W. Europe

Base 6702 1000 1501Male 50% 50% 50%Female 50% 50% 50%

Cell Contents: - Column Percentage

;Table q4 - Do you or any members of your family work in any of the following industries? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501Advertising 0% 0% 0%Agriculture 3% 2% 2%Civil service (Government) 7% 3% 5%Engineering 8% 4% 6%Journalism 0% 0% 0%Market research 0% 0% 0%Finance 5% 4% 5%Marketing 0% 0% 0%Media 0% 0% 0%Telecommunications 3% 2% 3%Manufacturing 4% 2% 5%Public Service (NGO/Non-profit/Volun 3% 1% 4%Public relations 0% 0% 0%Retail / Commerce 11% 8% 10%None of these 67% 78% 70%Don’t know 0% 0% 0%

Cell Contents: - Column Percentage

;Table q5 - Overall, how satisfied are you with your life?

Page 8: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Very satisfied with my life 37% 34% 23%Somewhat satisfied with my life 50% 52% 60%Not very satisfied with my life 11% 11% 15%Not at all satisfied with my life 2% 3% 3%

Cell Contents: - Column Percentage

;Table q6 - Of the following, which three have been the most influential in shaping your outlook on life to date?

REGIONBase US W. Europe

Base 6702 1000 1501Family 77% 75% 77%Friends 51% 54% 62%Government 7% 7% 8%School/education 55% 47% 57%Media 13% 15% 18%Technology 31% 35% 27%Economy 22% 24% 16%Religion 23% 25% 9%Sports 14% 11% 19%Other 6% 6% 8%

Cell Contents: - Column Percentage

;Table q7 - How optimistic are you about your future?

REGIONBase US W. Europe

Base 6701 1000 1501Very optimistic 46% 43% 22%Somewhat optimistic 43% 46% 58%Somewhat pessimistic 9% 9% 16%Very pessimistic 2% 2% 3%

Page 9: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table q8 - Looking ahead to 10 years from now, which of the following accomplishments is most important to you personally (by the year 2024)?

REGIONBase US W. Europe

Base 6701 1000 1501Getting married 9% 14% 11%Having children 10% 11% 14%Having a stable, well-paying job 43% 46% 47%Owning a home 16% 13% 15%Started your own business 15% 8% 6%Other 5% 5% 5%Don’t know 2% 3% 3%

Cell Contents: - Column Percentage

;Table q9 - Are you currently enrolled in school or university?

REGIONBase US W. Europe

Base 6702 1000 1501Yes 48% 45% 44%No 52% 55% 56%

Cell Contents: - Column Percentage

;Table qUSS2 - What is the highest level of formal education that you have completed?

REGIONBase US W. Europe

Base 1000 1000 0%

Page 10: 2014 Millennial Survey Regions and Countries Dataset

Grade school .% .% 0%Some high school 4% 4% 0%High school graduate 21% 21% 0%Some college 37% 37% 0%College graduate 28% 28% 0%Graduate school 8% 8% 0%Technical school 2% 2% 0%Don’t know / prefer not to say 0% 0% 0%

Cell Contents: - Column Percentage

;Table q10 - Which type of school did you attend for your highest level of formal education?

REGIONBase US W. Europe

Base 6702 1000 1501Public school / funded by the local, st 74% 78% 88%Private school / independent school / 26% 22% 12%

Cell Contents: - Column Percentage

;Table q11 - Which field of study do you believe is most important for ensuring your personal future success?

REGIONBase US W. Europe

Base 6702 1000 1501Economics 6% 3% 7%Foreign Languages 10% 3% 11%History 2% 2% 2%Literature 2% 3% 2%Mathematics 5% 5% 5%Biology/Chemistry 4% 5% 5%Business 11% 14% 10%Computer Science & Programmin 15% 16% 14%Engineering 12% 8% 9%Healthcare / Medicine 12% 17% 10%Physics 1% 1% 1%Vocational training i.e. plumbing, elect 3% 2% 5%

Page 11: 2014 Millennial Survey Regions and Countries Dataset

Communications 6% 6% 6%Other 12% 15% 14%

Cell Contents: - Column Percentage

;Table q12 - Which is second most important?

REGIONBase US W. Europe

Base 6702 1000 1501Economics 9% 8% 7%Foreign Languages 13% 6% 13%History 3% 4% 3%Literature 4% 5% 5%Mathematics 8% 8% 10%Biology/Chemistry 5% 7% 3%Business 13% 14% 10%Computer Science & Programmin 11% 10% 12%Engineering 7% 6% 6%Healthcare / Medicine 8% 8% 7%Physics 2% 2% 3%Vocational training i.e. plumbing, elect 4% 4% 6%Communications 10% 10% 11%Other 4% 6% 4%

Cell Contents: - Column Percentage

;Table q13 - Which is the least important?

REGIONBase US W. Europe

Base 6702 1000 1501Economics 2% 2% 2%Foreign Languages 6% 10% 6%History 18% 18% 17%Literature 18% 17% 22%Mathematics 6% 7% 6%Biology/Chemistry 7% 6% 6%

Page 12: 2014 Millennial Survey Regions and Countries Dataset

Business 2% 2% 3%Computer Science & Programmin 2% 1% 3%Engineering 3% 4% 5%Healthcare / Medicine 3% 3% 3%Physics 9% 10% 6%Vocational training i.e. plumbing, elect 13% 12% 9%Communications 3% 3% 3%Other 8% 6% 7%

Cell Contents: - Column Percentage

;Table q14 - When it comes to the educational system in your country, how strongly do you agree or disagree with the following statement? I have had access to all the educational opportunities I have desired.

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 29% 33% 30%Somewhat agree 44% 45% 47%Somewhat disagree 19% 16% 17%Strongly disagree 8% 5% 7%

Cell Contents: - Column Percentage

;Table q15 - When it comes to the educational system in your country, how strongly do you agree or disagree with the following statement? My education has prepared me for my professional future in today’s technology driven workplace.

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 24% 31% 16%Somewhat agree 44% 43% 48%Somewhat disagree 22% 19% 27%Strongly disagree 10% 7% 9%

Cell Contents: - Column Percentage

;Table q16 - How satisfied are you with your country’s educational system?

Page 13: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Very satisfied 12% 15% 11%Somewhat satisfied 40% 44% 47%Not very satisfied 33% 29% 30%Not at all satisfied 15% 10% 11%Don’t know 1% 2% 1%

Cell Contents: - Column Percentage

;Table q17 - When it comes to the educational system in your country, which elements need improvement? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501Quality of curriculum 59% 52% 60%Quality of teachers 59% 53% 52%Affordability 48% 66% 40%Access to Technology 46% 32% 38%Access for all 45% 44% 44%Other 6% 5% 6%

Cell Contents: - Column Percentage

;Table q18 - How much do you agree or disagree with the following statement? I have opportunities in my country to become an entrepreneur or develop and bring an idea to the market

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 24% 35% 18%Somewhat agree 48% 49% 49%Somewhat disagree 20% 13% 23%Strongly disagree 7% 3% 10%

Page 14: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table q19 - Please think a little more about where you personally would want to work. If you were to apply to work for a company, please pick the three things that would be the most important elements that the company needs to demonstrate.

REGIONBase US W. Europe

Base 6702 1000 1501Pays a lot of money 33% 41% 30%Helps its employees navigate their car 20% 18% 22%Allows its employees a good work/life 41% 49% 47%Empowers employees to make an impa 12% 13% 13%Allows employees to take on new profe 18% 13% 15%Gives employees flexibility in regard 18% 23% 21%Demonstrates an entrepreneurial spiri 7% 6% 6%Uses the most up-to-date technology 14% 14% 11%Has a prestigious reputation 8% 7% 8%Offers ample opportunities for traini 31% 20% 30%Is involved in social good/supports ca 9% 9% 9%Provides opportunities to travel with 8% 7% 7%Offers a fun workplace environment 23% 22% 32%Offers a humane, nurturing workplac 28% 21% 30%Offers opportunities to work abroad 10% 8% 8%Acts with integrity 20% 29% 12%

Cell Contents: - Column Percentage

;Table q20 - Which industries are you most likely to pursue in the future?

REGIONBase US W. Europe

Base 6702 1000 1501Academics (Academia) 9% 10% 10%Advertising / Public relations 5% 5% 6%Agriculture 2% 3% 2%Civil service (Government) 10% 6% 10%Creative industries 11% 11% 15%Communications 9% 10% 10%

Page 15: 2014 Millennial Survey Regions and Countries Dataset

Energy 4% 4% 7%Engineering 15% 13% 11%Finance 11% 10% 11%Government 7% 7% 7%Healthcare 14% 22% 13%Manufacturing 5% 5% 6%Media 8% 11% 12%Public Service (NGO/Non-profit/Volun 7% 7% 10%Retail / Commerce 9% 9% 13%Technology 24% 25% 22%Telecommunications 7% 6% 8%Tourism 7% 6% 7%Science 10% 13% 12%Start my own business 24% 23% 16%Other 12% 16% 14%

Cell Contents: - Column Percentage

;Table q21 - How interested are you in seeking employment opportunities abroad?

REGIONBase US W. Europe

Base 6702 1000 1501Very interested 36% 28% 23%Somewhat interested 35% 38% 38%Not very interested 20% 22% 27%Not at all interested 9% 12% 12%

Cell Contents: - Column Percentage

;Table q22 - Which regions are you personally most interested in to seek employment opportunities abroad?

REGIONBase US W. Europe

Base 5018 689 942Africa 5% 8% 6%Asia 20% 32% 20%Eastern Europe 25% 34% 16%

Page 16: 2014 Millennial Survey Regions and Countries Dataset

Latin America 21% 15% 11%Middle East 7% 10% 8%North America 52% 46% 49%Western Europe 49% 49% 54%Australia 24% 31% 30%

Cell Contents: - Column Percentage

;Table q23 - What are the biggest benefits of working abroad?

REGIONBase US W. Europe

Base 5018 689 942Finding a better job 32% 28% 30%Finding a better-paying job 41% 32% 33%Being exposed to different culture 51% 63% 55%Escaping current living situation 21% 23% 29%Offer jobs not available in home count 18% 20% 25%Gaining perspective on the world 54% 64% 53%Becoming a global citizen 25% 28% 27%

Cell Contents: - Column Percentage

;Table q24 - Are you concerned about your country experiencing a "brain drain" - i.e. having the best and brightest citizens leave to pursue opportunities abroad?

REGIONBase US W. Europe

Base 6702 1000 1501Very concerned 22% 14% 17%Somewhat concerned 39% 38% 38%Not very concerned 29% 35% 35%Not at all concerned 10% 13% 10%

Cell Contents: - Column Percentage

;Table q25 - Which is closest to your view?

Page 17: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501My country’s leaders are very much fo 18% 21% 18%My country’s leaders are not focused 70% 61% 69%Don’t know 12% 17% 13%

Cell Contents: - Column Percentage

;Table q26 - Which is closest to your view?

REGIONBase US W. Europe

Base 6702 1000 1501Businesses are providing great potenti 31% 41% 31%Businesses currently provide greater 52% 41% 48%Don’t know 16% 18% 21%

Cell Contents: - Column Percentage

;Table q27 - In general, do you think your country’s best days are ahead, or behind?

REGIONBase US W. Europe

Base 6702 1000 1501My country’s best days are ahead 60% 51% 50%My country’s best days are behind 40% 49% 50%

Cell Contents: - Column Percentage

;Table q28 - In your opinion, what is the most important issue facing your country today?

Page 18: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Education 8% 7% 6%Gender inequality 1% 1% 1%Healthcare 4% 5% 3%Political freedom 1% 1% 1%Political unrest/instability 3% 4% 4%Poverty 6% 5% 6%Racial inequality 1% 2% 1%Religious freedom 1% 2% 1%Social inequality 9% 6% 17%The economy 15% 26% 11%The environment 2% 2% 3%Corruption 20% 11% 10%Crime 8% 5% 3%Public services 1% 1% 1%Unemployment 11% 12% 20%Lack of infrastructure 2% 1% 2%Corporate greed 5% 7% 7%Other 2% 3% 4%Inequality Combined 11% 9% 19%

Cell Contents: - Column Percentage

;Table q29 - Do you think that the economy in your country is headed in the right direction or wrong direction?

REGIONBase US W. Europe

Base 6702 1000 1501Right direction 27% 29% 34%Wrong direction 59% 54% 50%Don’t know 13% 17% 16%

Cell Contents: - Column Percentage

;Table q30 - What characteristics make your country poised for growth? Please select all that apply.

Page 19: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Social and religious tolerance 18% 20% 20%Ability to foster entrepreneurship 21% 21% 18%Strong education system 27% 28% 27%Equality between men and women 23% 24% 22%Foreign trade 23% 17% 29%A more productive workforce 23% 24% 21%Political leadership 18% 18% 15%Economic equality 19% 21% 16%Equal opportunities for all 28% 32% 25%Natural resources 25% 20% 10%Naturally talented citizens 19% 19% 15%Low crime 18% 15% 15%Solid infrastructure 18% 16% 29%Ability to move between social classes 17% 22% 14%Lack of corruption 18% 19% 18%Other 4% 4% 3%I do not believe my country is poised 16% 15% 18%

Cell Contents: - Column Percentage

;Table q31 - What issues, if any, hinder your country’s growth?

REGIONBase US W. Europe

Base 6702 1000 1501Intolerance of different social or relig 19% 24% 17%Inability to foster entrepreneurship 12% 8% 12%Education system 42% 38% 32%Inequality between men and women 20% 23% 17%Foreign trade 9% 12% 7%Lack of a productive workforce 17% 19% 16%Political leadership 39% 38% 36%Government regulations 30% 33% 28%Inflation 35% 36% 22%Advancing based on who you know ra 28% 26% 28%Lack of natural resources 10% 14% 14%Lack of talented citizens 8% 10% 8%

Page 20: 2014 Millennial Survey Regions and Countries Dataset

Unsafe living conditions 24% 15% 15%Unstable infrastructure 20% 21% 12%Economic inequality 41% 36% 30%Inability to move between social class 18% 20% 20%Corruption 56% 47% 34%Other 4% 4% 4%I do not believe my country has any of 2% 3% 5%

Cell Contents: - Column Percentage

;Table q32 - Do you think that the gap between the rich and the poor in your country is...?

REGIONBase US W. Europe

Base 6702 1000 1501Expanding 72% 77% 82%Shrinking 18% 13% 9%Don’t know 9% 10% 9%

Cell Contents: - Column Percentage

;Table q33 - In your opinion, what aspects of your country’s infrastructure should your government focus on improving? Please select the top TWO you believe are most important.

REGIONBase US W. Europe

Base 6702 1000 1501Public transportation 11% 8% 9%Public health system facilities such as 32% 31% 31%Public parks, recreation facilities and 5% 6% 6%Reliable electricity 5% 6% 7%Natural resources and recycling 15% 20% 12%Public roads & highways 9% 10% 8%Police & firefighters 8% 5% 7%Military 6% 9% 4%Education system 60% 57% 52%Port infrastructure 3% 3% 2%Broadband internet access 6% 6% 8%Safe, affordable housing 30% 28% 42%

Page 21: 2014 Millennial Survey Regions and Countries Dataset

Other 3% 4% 3%Don’t know 3% 4% 4%

Cell Contents: - Column Percentage

;Table q34 - How strongly do you agree that your country will be a strong growth driver for your region’s economy in the next 5 - 10 years?

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 17% 20% 10%Somewhat agree 54% 54% 54%Somewhat disagree 23% 22% 28%Strongly disagree 7% 4% 8%

Cell Contents: - Column Percentage

;Table q35 - In your opinion, which of the following region(s) will be the biggest growth driver(s) for the global economy in the next 10 years? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501North America 38% 44% 25%Latin America 21% 9% 10%Western Europe 26% 26% 28%Eastern Europe 18% 21% 13%Eastern Asia 35% 38% 35%South / Southeast Asia 23% 27% 26%Central Asia / Middle East 22% 22% 24%Africa 4% 5% 5%

Cell Contents: - Column Percentage

;Table q36 - In your opinion, which country or countries in this region (Latin America) will be the biggest driver(s) of growth for the world economy in the next 10 years?

Page 22: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 1842 132 156Argentina 31% 23% 26%Bolivia 6% 10% 4%Brazil 60% 42% 63%Chile 29% 23% 20%Colombia 23% 23% 15%Costa Rica 10% 15% 9%Cuba 6% 12% 5%Dominican Republic 5% 17% 3%Ecuador 9% 12% 8%El Salvador 2% 9% 2%Guatemala 3% 8% 1%Haiti 2% 9% .%Honduras 3% 8% .%Mexico 34% 35% 24%Nicaragua 5% 13% 0%Panama 13% 19% 3%Paraguay 7% 10% 5%Peru 11% 12% 8%Puerto Rico 7% 17% 2%Uruguay 14% 12% 8%Venezuela 14% 13% 9%Don’t Know 10% 24% 10%

Cell Contents: - Column Percentage

;Table q37 - Which of the following are the most important environmental and social issues facing the world today? Please pick the top 3 most important issues.

REGIONBase US W. Europe

Base 6702 1000 1501The economy 26% 38% 19%Healthcare 20% 27% 17%Political unrest/instability 17% 18% 26%War 25% 23% 30%Political freedom 7% 7% 10%Religious freedom 9% 14% 9%Social inequality 23% 17% 26%Gender inequality 9% 12% 9%

Page 23: 2014 Millennial Survey Regions and Countries Dataset

Racial inequality 10% 10% 11%The environment 25% 20% 26%Education 26% 28% 19%Poverty 44% 35% 42%Terrorism 22% 24% 30%Corruption 36% 27% 26%

Cell Contents: - Column Percentage

;Table q38 - Some people say that It is easier to raise money for humanitarian crises caused by natural disaster rather than crises caused by war. Some people find this idea acceptable. Others disagree. Do you think this idea is:

REGIONBase US W. Europe

Base 6702 1000 1501Acceptable 48% 45% 36%Not acceptable 34% 34% 38%Don’t know 18% 21% 26%

Cell Contents: - Column Percentage

;Table q39 - What role, if any, do you believe technology companies should play in order to most effectively help people facing humanitarian crises in conflict zones?

REGIONBase US W. Europe

Base 6702 1000 1501Raise funds to donate to aid and human 37% 42% 35%Develop innovative tools such as apps, 32% 32% 30%Invest in a campaign to raise global a 24% 16% 24%None 7% 9% 10%

Cell Contents: - Column Percentage

;Table q40 - How familiar are you with the conflict in Syria?

Page 24: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Very familiar 9% 12% 10%Somewhat familiar 40% 43% 49%Not very familiar 32% 28% 30%Not at all familiar 14% 14% 9%Don’t know 4% 3% 2%

Cell Contents: - Column Percentage

;Table q41 - Why do you think the conflict in Syria is still going on?

REGIONBase US W. Europe

Base 6702 1000 1501People are not aware of the scale of 22% 31% 22%People do not care about the scale of 29% 25% 28%People don't believe anything can be 29% 26% 31%Other 11% 9% 11%Don’t know 9% 10% 9%

Cell Contents: - Column Percentage

;Table q42 - Do you believe you can make a local difference?

REGIONBase US W. Europe

Base 6702 1000 1501I believe I can make a local difference 65% 67% 50%I don’t believe I can make a local diffe 26% 24% 39%Don’t know 9% 8% 11%

Cell Contents: - Column Percentage

;

Page 25: 2014 Millennial Survey Regions and Countries Dataset

Table q43 - Do you believe you can make a global difference?

REGIONBase US W. Europe

Base 6702 1000 1501I believe I can make a global differenc 40% 39% 25%I don’t believe I can make a global dif 47% 47% 62%Don’t know 13% 14% 13%

Cell Contents: - Column Percentage

;Table q44 - Which of the following are you personally most passionate about supporting or helping to improve? Please select only one.

REGIONBase US W. Europe

Base 6702 1000 1501The economy 7% 12% 5%Healthcare 7% 7% 7%Political unrest/instability 1% 1% 2%War 3% 3% 4%Political freedom 2% 2% 3%Religious freedom 3% 4% 2%Social inequality 8% 8% 11%Gender inequality 3% 5% 4%Racial inequality 3% 4% 2%The environment 10% 7% 12%Education 18% 16% 13%Poverty 13% 12% 12%Terrorism 2% 2% 3%Technological advancement 7% 6% 8%The fight against corruption 8% 5% 5%Other 4% 6% 7%

Cell Contents: - Column Percentage

;Table q45 - What are the best ways you think other young people like you can help make a difference in your community? Please select all that apply.

Page 26: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6701 1000 1501Discuss issues with others in-person 31% 32% 29%Donate money 24% 36% 22%Donate time 41% 57% 33%Donate specific skillset 23% 27% 16%Learn about ways to help 44% 50% 34%Mentor / teach 42% 46% 25%Organize events 31% 34% 29%Participate in elections 37% 40% 40%Write / report about issues 29% 28% 29%Protest 22% 18% 27%Boycott 10% 14% 14%Use social media to document/denoun 43% 36% 40%Actively participate in politics 31% 32% 30%Start businesses 20% 21% 13%Other 4% 4% 5%

Cell Contents: - Column Percentage

;Table q45a - Which of the following would you personally consider doing to help make a difference in your community? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501Discuss issues with others in-person 33% 35% 32%Donate money 22% 31% 22%Donate time 37% 50% 30%Donate specific skillset 21% 23% 17%Learn about ways to help 38% 41% 29%Mentor / teach 37% 35% 21%Organize events 22% 21% 18%Participate in elections 32% 34% 37%Write / report about issues 24% 21% 25%Protest 17% 12% 23%Boycott 10% 13% 15%Use social media to document/denoun 34% 27% 32%Actively participate in politics 20% 22% 17%Start businesses 16% 14% 10%Other 6% 7% 7%

Page 27: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table g46[..].mA_Columns - Based on your experience, have the following types of companies made a difference in the communities where they operate?

Small, Medium companiesLarge companiesNational companies (Headquartered in your country)

Base 6702 6702 6702Yes, these companies have made a dif 49% 48% 48%No, these companies have not made a 26% 28% 26%Don’t know 25% 24% 26%

Cell Contents: - Column Percentage

;Table g46[{q46}].mA - 'Small, Medium companies' : Based on your experience, have the following types of companies made a difference in the communities where they operate?

REGIONBase US W. Europe

Base 6702 1000 1501Yes, these companies have made a dif 49% 56% 38%No, these companies have not made a 26% 20% 29%Don’t know 25% 24% 32%

Cell Contents: - Column Percentage

;Table g46[{q47}].mA - Large companies : Based on your experience, have the following types of companies made a difference in the communities where they operate?

REGIONBase US W. Europe

Base 6702 1000 1501Yes, these companies have made a dif 48% 47% 38%No, these companies have not made a 28% 28% 29%Don’t know 24% 26% 34%

Page 28: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table g46[{q48}].mA - National companies (Headquartered in your country) : Based on your experience, have the following types of companies made a difference in the communities where they operate?

REGIONBase US W. Europe

Base 6702 1000 1501Yes, these companies have made a dif 48% 47% 37%No, these companies have not made a 26% 26% 27%Don’t know 26% 27% 36%

Cell Contents: - Column Percentage

;Table g46[{q49}].mA - Multi-national / global companies : Based on your experience, have the following types of companies made a difference in the communities where they operate?

REGIONBase US W. Europe

Base 6702 1000 1501Yes, these companies have made a dif 47% 45% 35%No, these companies have not made a 28% 28% 32%Don’t know 25% 28% 33%

Cell Contents: - Column Percentage

;Table q50 - What are the most important ways that a company can make a difference in the communities where it operates? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501Cash donations to local charities / cau 34% 45% 34%Product / service donations to local ch 33% 37% 31%Corporate employee volunteerism 20% 22% 16%

Page 29: 2014 Millennial Survey Regions and Countries Dataset

Support local businesses 40% 48% 41%Creation of jobs 69% 71% 69%Invest in local employment opportuniti 51% 48% 46%Investment in local education program 47% 46% 40%Investment in other types of local pr 30% 32% 24%Fighting corruption 38% 40% 30%Other 4% 4% 4%Don’t know 4% 4% 7%

Cell Contents: - Column Percentage

;Table q51 - Which of the following has the ability to deliver the greatest significant impact and change for individuals with disabilities? Please select only one.

REGIONBase US W. Europe

Base 6702 1000 1501National government 19% 15% 17%Local authorities 4% 3% 6%Educational institutions 13% 13% 12%Private businesses 5% 3% 4%Charities/NGOs 12% 12% 12%Media 9% 10% 8%Local communities 9% 15% 9%Technological advancement 21% 18% 19%Other 1% 2% 2%Don’t know 7% 8% 12%

Cell Contents: - Column Percentage

;Table q52 - How easy or difficult is it for individuals with disabilities to gain access to tools / resources that can improve their everyday lives?

REGIONBase US W. Europe

Base 6702 1000 1501Very easy 6% 9% 5%Somewhat easy 18% 27% 19%Somewhat difficult 45% 43% 51%Very difficult 24% 13% 15%

Page 30: 2014 Millennial Survey Regions and Countries Dataset

Don’t know 6% 8% 11%

Cell Contents: - Column Percentage

;Table g53[..].mA_Columns - To what degree can technology help individuals with disabilities ...

Lead full and happy livesLead productive livesSucceed in the workplace

Base 6702 6702 6702Technology can help significantly 49% 62% 60%Technology can help a little 37% 28% 31%Technology cannot help at all 7% 4% 4%Don't Know 6% 5% 5%

Cell Contents: - Column Percentage

;Table g53[{q53}].mA - Lead full and happy lives : To what degree can technology help individuals with disabilities ...

REGIONBase US W. Europe

Base 6702 1000 1501Technology can help significantly 49% 53% 41%Technology can help a little 37% 35% 43%Technology cannot help at all 7% 6% 8%Don't Know 6% 6% 9%

Cell Contents: - Column Percentage

;Table g53[{q54}].mA - Lead productive lives : To what degree can technology help individuals with disabilities ...

REGIONBase US W. Europe

Base 6702 1000 1501

Page 31: 2014 Millennial Survey Regions and Countries Dataset

Technology can help significantly 62% 63% 52%Technology can help a little 28% 29% 34%Technology cannot help at all 4% 4% 5%Don't Know 5% 4% 9%

Cell Contents: - Column Percentage

;Table g53[{q55}].mA - Succeed in the workplace : To what degree can technology help individuals with disabilities ...

REGIONBase US W. Europe

Base 6702 1000 1501Technology can help significantly 60% 60% 51%Technology can help a little 31% 30% 36%Technology cannot help at all 4% 4% 5%Don't Know 5% 5% 8%

Cell Contents: - Column Percentage

;Table g53[{q56}].mA - Obtain educational opportunities they desire : To what degree can technology help individuals with disabilities ...

REGIONBase US W. Europe

Base 6702 1000 1501Technology can help significantly 62% 63% 48%Technology can help a little 29% 29% 38%Technology cannot help at all 4% 3% 6%Don't Know 5% 5% 8%

Cell Contents: - Column Percentage

;Table g57[..].mA_Columns - How strongly do you agree or disagree with the following? Individuals with disabilities...

Page 32: 2014 Millennial Survey Regions and Countries Dataset

Have equal employment opportunities as individuals without disabilitiesAre given equal career advancement opportunities as individuals without disabilitiesEarn equal salaries to individuals without disabilities

Base 6702 6702 6702Strongly agree 21% 21% 24%Somewhat agree 24% 24% 28%Somewhat disagree 28% 32% 30%Strongly disagree 27% 22% 18%

Cell Contents: - Column Percentage

;Table g57[{q57}].mA - Have equal employment opportunities as individuals without disabilities : How strongly do you agree or disagree with the following? Individuals with disabilities...

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 21% 27% 14%Somewhat agree 24% 31% 25%Somewhat disagree 28% 25% 36%Strongly disagree 27% 17% 25%

Cell Contents: - Column Percentage

;Table g57[{q58}].mA - Are given equal career advancement opportunities as individuals without disabilities : How strongly do you agree or disagree with the following? Individuals with disabilities...

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 21% 27% 14%Somewhat agree 24% 28% 29%Somewhat disagree 32% 30% 38%Strongly disagree 22% 15% 18%

Cell Contents: - Column Percentage

;Table g57[{q59}].mA - Earn equal salaries to individuals without disabilities : How strongly do you agree or disagree with the following? Individuals with disabilities...

Page 33: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 24% 28% 15%Somewhat agree 28% 32% 32%Somewhat disagree 30% 28% 36%Strongly disagree 18% 12% 16%

Cell Contents: - Column Percentage

;Table g57[{q60}].mA - Receive equal benefits as individuals without disabilities : How strongly do you agree or disagree with the following? Individuals with disabilities...

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 24% 32% 15%Somewhat agree 30% 33% 36%Somewhat disagree 29% 25% 36%Strongly disagree 17% 10% 14%

Cell Contents: - Column Percentage

;Table g61[..].mA_Columns - How important is each of the following?

The company I work for is inclusive of people with disabilities (e.g. employment, product design for all, involvement with local disability groups)Companies I buy products and services from are inclusive of people with disabilities (e.g. employment, product design for all, involvement with local disability groups)

Base 6702 6702Very important 35% 34%Somewhat important 34% 34%Not very important 11% 14%Not at all important 5% 4%Don’t know 15% 14%

Cell Contents: - Column Percentage

Page 34: 2014 Millennial Survey Regions and Countries Dataset

;Table g61[{q61}].mA - 'The company I work for is inclusive of people with disabilities (e.g. employment, product design for all, involvement with local disability groups)' : How important is each of the following?

REGIONBase US W. Europe

Base 6702 1000 1501Very important 35% 31% 21%Somewhat important 34% 40% 37%Not very important 11% 11% 16%Not at all important 5% 4% 6%Don’t know 15% 15% 20%

Cell Contents: - Column Percentage

;Table g61[{q62}].mA - 'Companies I buy products and services from are inclusive of people with disabilities (e.g. employment, product design for all, involvement with local disability groups)' : How important is each of the following?

REGIONBase US W. Europe

Base 6702 1000 1501Very important 34% 30% 19%Somewhat important 34% 36% 37%Not very important 14% 16% 18%Not at all important 4% 4% 5%Don’t know 14% 14% 20%

Cell Contents: - Column Percentage

;Table q63 - How much do you agree or disagree with the following statement? I am on the cutting edge of technology

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 31% 32% 26%Somewhat agree 52% 51% 54%

Page 35: 2014 Millennial Survey Regions and Countries Dataset

Somewhat disagree 14% 14% 17%Strongly disagree 3% 3% 2%

Cell Contents: - Column Percentage

;Table g64[..].mA_Columns - What kind of access do you have to each of the following technological devices? Please select all that apply.

Desktop computerLaptop computer Tablet

Base 6702 6702 6702I own it 53% 76% 43%It’s shared – family, friends etc. 21% 14% 19%Through school/university 10% 4% 4%Public access 6% 3% 2%Through work 9% 3% 3%I do not have access to this device 15% 8% 33%

Cell Contents: - Column Percentage

;Table g64[{q64}].mA - Desktop computer : What kind of access do you have to each of the following technological devices? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501I own it 53% 54% 51%It’s shared – family, friends etc. 21% 19% 18%Through school/university 10% 10% 11%Public access 6% 8% 5%Through work 9% 9% 10%I do not have access to this device 15% 15% 17%

Cell Contents: - Column Percentage

;Table g64[{q65}].mA - Laptop computer : What kind of access do you have to each of the following technological devices? Please select all that apply.

Page 36: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501I own it 76% 86% 79%It’s shared – family, friends etc. 14% 11% 11%Through school/university 4% 4% 4%Public access 3% 2% 3%Through work 3% 3% 4%I do not have access to this device 8% 5% 6%

Cell Contents: - Column Percentage

;Table g64[{q66}].mA - Tablet : What kind of access do you have to each of the following technological devices? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501I own it 43% 56% 40%It’s shared – family, friends etc. 19% 17% 18%Through school/university 4% 3% 3%Public access 2% 1% 2%Through work 3% 3% 3%I do not have access to this device 33% 25% 37%

Cell Contents: - Column Percentage

;Table g64[{q67}].mA - Smartphone : What kind of access do you have to each of the following technological devices? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501I own it 78% 79% 84%It’s shared – family, friends etc. 7% 7% 5%Through school/university 3% 2% 3%Public access 2% 2% 2%Through work 2% 2% 2%

Page 37: 2014 Millennial Survey Regions and Countries Dataset

I do not have access to this device 12% 12% 7%

Cell Contents: - Column Percentage

;Table g64[{q68}].mA - 'Feature phone (e.g. flip phone, texting phone, etc.)' : What kind of access do you have to each of the following technological devices? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501I own it 45% 37% 28%It’s shared – family, friends etc. 10% 9% 7%Through school/university 3% 3% 3%Public access 2% 2% 2%Through work 2% 1% 2%I do not have access to this device 41% 50% 59%

Cell Contents: - Column Percentage

;Table g64[{q69}].mA - Video Game console : What kind of access do you have to each of the following technological devices? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501I own it 56% 73% 61%It’s shared – family, friends etc. 21% 17% 18%Through school/university 3% 3% 3%Public access 3% 2% 3%Through work 1% 1% 1%I do not have access to this device 22% 11% 19%

Cell Contents: - Column Percentage

;Table g64[{q70}].mA - Smart TV that can be connected to Internet by cable or WiFi : What kind of access do you have to each of the following technological devices? Please select all that apply.

Page 38: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501I own it 32% 31% 33%It’s shared – family, friends etc. 19% 16% 16%Through school/university 4% 3% 4%Public access 3% 2% 3%Through work 2% 2% 1%I do not have access to this device 44% 50% 46%

Cell Contents: - Column Percentage

;Table g64[{q71}].mA - 'Wearable devices (smart watch, fitness band, etc.)' : What kind of access do you have to each of the following technological devices? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501I own it 22% 19% 16%It’s shared – family, friends etc. 8% 8% 6%Through school/university 3% 3% 2%Public access 2% 1% 2%Through work 2% 1% 2%I do not have access to this device 64% 70% 73%

Cell Contents: - Column Percentage

;Table q72 - What barriers prevent you from accessing new personal mobile technology (e.g. data / internet connections via smartphones and tablets)? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501Security 18% 14% 15%Poor quality internet connection 25% 17% 21%Cost barriers to the data / internet co 31% 34% 29%Cost barriers to the devices 46% 46% 47%The capabilities of the device I own (i. 11% 13% 8%Regulations 8% 9% 6%

Page 39: 2014 Millennial Survey Regions and Countries Dataset

Privacy concerns 15% 16% 17%Lack of digital skills 6% 7% 6%Other 6% 5% 5%None of the above 15% 16% 19%

Cell Contents: - Column Percentage

;Table g73[..].mA_Columns - When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

Look for a new job or career opportunitiesAccess a social networkPost an update, video or photo to a social network

Base 6702 6702 6702Within the last hour 9% 45% 18%Earlier today 11% 22% 17%Yesterday 10% 10% 17%Within the last week 14% 7% 17%Within the last month 11% 3% 10%More than a month ago 19% 4% 9%Never 24% 8% 12%

Cell Contents: - Column Percentage

;Table g73[{q73}].mA - Look for a new job or career opportunities : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 9% 8% 4%Earlier today 11% 13% 8%Yesterday 10% 8% 12%Within the last week 14% 15% 16%Within the last month 11% 12% 12%More than a month ago 19% 19% 21%Never 24% 25% 26%

Cell Contents: - Column Percentage

Page 40: 2014 Millennial Survey Regions and Countries Dataset

;Table g73[{q74}].mA - Access a social network : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 45% 42% 34%Earlier today 22% 25% 26%Yesterday 10% 9% 13%Within the last week 7% 8% 9%Within the last month 3% 3% 4%More than a month ago 4% 2% 5%Never 8% 11% 9%

Cell Contents: - Column Percentage

;Table g73[{q75}].mA - 'Post an update, video or photo to a social network' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 18% 16% 9%Earlier today 17% 18% 15%Yesterday 17% 15% 15%Within the last week 17% 18% 20%Within the last month 10% 10% 14%More than a month ago 9% 9% 12%Never 12% 14% 16%

Cell Contents: - Column Percentage

;Table g73[{q76}].mA - Make a telephone call (voice only) : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Page 41: 2014 Millennial Survey Regions and Countries Dataset

Base 6702 1000 1501Within the last hour 27% 26% 13%Earlier today 26% 29% 29%Yesterday 19% 20% 23%Within the last week 12% 13% 17%Within the last month 4% 3% 7%More than a month ago 4% 3% 4%Never 7% 6% 8%

Cell Contents: - Column Percentage

;Table g73[{q77}].mA - Send a text message : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 37% 40% 26%Earlier today 23% 24% 26%Yesterday 15% 13% 17%Within the last week 10% 9% 13%Within the last month 5% 4% 6%More than a month ago 5% 3% 8%Never 6% 7% 5%

Cell Contents: - Column Percentage

;Table g73[{q78}].mA - Find a date : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 7% 7% 5%Earlier today 9% 8% 9%Yesterday 9% 7% 8%Within the last week 12% 10% 14%Within the last month 7% 6% 7%More than a month ago 13% 15% 14%Never 44% 48% 43%

Page 42: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table g73[{q79}].mA - Watch a video posted online : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 24% 25% 12%Earlier today 24% 26% 23%Yesterday 19% 16% 21%Within the last week 13% 13% 17%Within the last month 6% 6% 8%More than a month ago 5% 4% 7%Never 10% 10% 11%

Cell Contents: - Column Percentage

;Table g73[{q80}].mA - 'Stream video content through a service such as iTunes, Netflix, Amazon, HBO Go, etc.' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 11% 15% 5%Earlier today 12% 16% 9%Yesterday 14% 17% 11%Within the last week 14% 15% 15%Within the last month 8% 8% 10%More than a month ago 9% 8% 11%Never 32% 21% 39%

Cell Contents: - Column Percentage

;Table g73[{q81}].mA - 'Make a financial transaction (payment, deposit, money transfer)' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

Page 43: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 8% 9% 4%Earlier today 11% 13% 11%Yesterday 13% 14% 12%Within the last week 19% 22% 22%Within the last month 11% 12% 12%More than a month ago 8% 7% 9%Never 30% 23% 29%

Cell Contents: - Column Percentage

;Table g73[{q82}].mA - Read the news : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 22% 14% 20%Earlier today 27% 29% 30%Yesterday 16% 15% 16%Within the last week 12% 14% 13%Within the last month 6% 8% 6%More than a month ago 6% 6% 5%Never 11% 14% 9%

Cell Contents: - Column Percentage

;Table g73[{q83}].mA - Take a photo or video : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 17% 16% 10%Earlier today 20% 23% 21%Yesterday 22% 21% 23%

Page 44: 2014 Millennial Survey Regions and Countries Dataset

Within the last week 20% 20% 24%Within the last month 7% 8% 9%More than a month ago 6% 5% 7%Never 6% 7% 7%

Cell Contents: - Column Percentage

;Table g73[{q84}].mA - Play a video game : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 16% 19% 12%Earlier today 16% 17% 15%Yesterday 17% 16% 17%Within the last week 16% 17% 16%Within the last month 8% 7% 10%More than a month ago 11% 10% 13%Never 16% 15% 17%

Cell Contents: - Column Percentage

;Table g73[{q85}].mA - Shop : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 8% 9% 3%Earlier today 12% 18% 11%Yesterday 14% 16% 16%Within the last week 19% 22% 22%Within the last month 14% 14% 15%More than a month ago 11% 7% 11%Never 23% 16% 21%

Cell Contents: - Column Percentage

Page 45: 2014 Millennial Survey Regions and Countries Dataset

;Table g73[{q86}].mA - Order a taxi : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 4% 3% 2%Earlier today 5% 4% 4%Yesterday 6% 5% 5%Within the last week 9% 6% 11%Within the last month 9% 7% 11%More than a month ago 17% 17% 24%Never 50% 58% 43%

Cell Contents: - Column Percentage

;Table g73[{q87}].mA - Find directions : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Base 6702 1000 1501Within the last hour 8% 7% 3%Earlier today 12% 12% 10%Yesterday 17% 19% 14%Within the last week 24% 24% 30%Within the last month 14% 15% 17%More than a month ago 11% 10% 15%Never 14% 12% 11%

Cell Contents: - Column Percentage

;Table g73[{q88}].mA - 'Connect to another physical item (thermostat, car, fitness band, etc.)' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

REGIONBase US W. Europe

Page 46: 2014 Millennial Survey Regions and Countries Dataset

Base 6702 1000 1501Within the last hour 7% 8% 3%Earlier today 9% 9% 8%Yesterday 8% 8% 8%Within the last week 9% 11% 9%Within the last month 6% 6% 6%More than a month ago 8% 8% 9%Never 52% 51% 56%

Cell Contents: - Column Percentage

;Table g89[..].mA_Columns - When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

A brand that has a trusted reputation for delivering quality products / servicesThe least expensive optionA company that provides bundled services for one price (e.g. home internet / mobile plans / devices)

Base 6702 6702 6702Very important 57% 36% 34%Somewhat important 35% 44% 45%Not very important 6% 16% 16%Not at all important 2% 4% 4%

Cell Contents: - Column Percentage

;Table g89[{q89}].mA - A brand that has a trusted reputation for delivering quality products / services : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

REGIONBase US W. Europe

Base 6702 1000 1501Very important 57% 58% 41%Somewhat important 35% 37% 46%Not very important 6% 4% 10%Not at all important 2% 1% 3%

Cell Contents: - Column Percentage

;Table g89[{q90}].mA - The least expensive option : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

Page 47: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Very important 36% 37% 30%Somewhat important 44% 47% 50%Not very important 16% 13% 17%Not at all important 4% 3% 4%

Cell Contents: - Column Percentage

;Table g89[{q91}].mA - A company that provides bundled services for one price (e.g. home internet / mobile plans / devices) : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

REGIONBase US W. Europe

Base 6702 1000 1501Very important 34% 29% 22%Somewhat important 45% 51% 50%Not very important 16% 16% 22%Not at all important 4% 4% 6%

Cell Contents: - Column Percentage

;Table g89[{q92}].mA - A company with a strong commitment to sustainability and social impact : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

REGIONBase US W. Europe

Base 6702 1000 1501Very important 34% 34% 20%Somewhat important 43% 45% 49%Not very important 18% 16% 25%Not at all important 5% 5% 6%

Cell Contents: - Column Percentage

Page 48: 2014 Millennial Survey Regions and Countries Dataset

;Table g89[{q93}].mA - A company with positive consumer reviews : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

REGIONBase US W. Europe

Base 6702 1000 1501Very important 51% 56% 38%Somewhat important 38% 37% 48%Not very important 8% 6% 10%Not at all important 3% 2% 4%

Cell Contents: - Column Percentage

;Table g89[{q94}].mA - The brand that my closest friends and family use : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

REGIONBase US W. Europe

Base 6702 1000 1501Very important 20% 23% 11%Somewhat important 37% 40% 41%Not very important 30% 27% 35%Not at all important 13% 11% 12%

Cell Contents: - Column Percentage

;Table g89[{q95}].mA - A company that is the leader in consumer innovation : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

REGIONBase US W. Europe

Base 6702 1000 1501Very important 36% 31% 21%Somewhat important 44% 50% 48%Not very important 17% 15% 26%Not at all important 4% 4% 5%

Page 49: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table g96[..].mA_Columns - Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

Medicine and healthcareEducation and researchFinding a job / career opportunities

Base 6702 6702 6702Significantly transformed this area of m 24% 49% 36%Slightly transformed this area of my lif 38% 35% 39%Has not transformed this area of my li 38% 16% 25%

Cell Contents: - Column Percentage

;Table g96[{q96}].mA - Medicine and healthcare : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 24% 24% 14%Slightly transformed this area of my lif 38% 39% 37%Has not transformed this area of my li 38% 37% 48%

Cell Contents: - Column Percentage

;Table g96[{q97}].mA - Education and research : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 49% 46% 31%Slightly transformed this area of my lif 35% 37% 43%Has not transformed this area of my li 16% 17% 27%

Page 50: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table g96[{q98}].mA - Finding a job / career opportunities : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 36% 35% 26%Slightly transformed this area of my lif 39% 41% 40%Has not transformed this area of my li 25% 24% 34%

Cell Contents: - Column Percentage

;Table g96[{q99}].mA - Entertainment : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 59% 58% 49%Slightly transformed this area of my lif 31% 30% 37%Has not transformed this area of my li 10% 12% 14%

Cell Contents: - Column Percentage

;Table g96[{q100}].mA - Personal banking / making payments : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 39% 44% 32%Slightly transformed this area of my lif 34% 36% 34%Has not transformed this area of my li 28% 20% 33%

Page 51: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table g96[{q101}].mA - Access to news / current events : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 53% 47% 49%Slightly transformed this area of my lif 34% 39% 34%Has not transformed this area of my li 13% 14% 17%

Cell Contents: - Column Percentage

;Table g96[{q102}].mA - Personal expression : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 40% 43% 25%Slightly transformed this area of my lif 41% 41% 47%Has not transformed this area of my li 20% 17% 28%

Cell Contents: - Column Percentage

;Table g96[{q103}].mA - Social life (with friends) : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 52% 51% 45%Slightly transformed this area of my lif 36% 35% 40%Has not transformed this area of my li 13% 15% 14%

Page 52: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table g96[{q104}].mA - Romantic life : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 31% 31% 22%Slightly transformed this area of my lif 34% 30% 35%Has not transformed this area of my li 36% 40% 43%

Cell Contents: - Column Percentage

;Table g96[{q105}].mA - Political expression : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 24% 22% 17%Slightly transformed this area of my lif 37% 38% 37%Has not transformed this area of my li 39% 40% 46%

Cell Contents: - Column Percentage

;Table g96[{q106}].mA - Retail / commerce (e.g. purchasing goods and services) : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 35% 37% 33%Slightly transformed this area of my lif 40% 45% 37%Has not transformed this area of my li 25% 18% 30%

Page 53: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table g96[{q107}].mA - Travel : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 30% 31% 25%Slightly transformed this area of my lif 39% 40% 42%Has not transformed this area of my li 31% 30% 33%

Cell Contents: - Column Percentage

;Table g96[{q108}].mA - 'Creativity (e.g. making art, pictures, music, videos)' : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 45% 40% 34%Slightly transformed this area of my lif 38% 42% 41%Has not transformed this area of my li 17% 18% 25%

Cell Contents: - Column Percentage

;Table g96[{q109}].mA - Work / business productivity : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 33% 32% 23%Slightly transformed this area of my lif 39% 41% 40%Has not transformed this area of my li 27% 27% 37%

Page 54: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table g96[{q110}].mA - Local transportation : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 24% 28% 18%Slightly transformed this area of my lif 37% 33% 42%Has not transformed this area of my li 39% 39% 40%

Cell Contents: - Column Percentage

;Table g96[{q111}].mA - Personal safety : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

REGIONBase US W. Europe

Base 6702 1000 1501Significantly transformed this area of m 26% 29% 17%Slightly transformed this area of my lif 39% 41% 42%Has not transformed this area of my li 35% 30% 40%

Cell Contents: - Column Percentage

;Table q112 - Looking ahead to the next 10 years, which areas of your life do you believe that personal mobile technology will transform the most? Please select the three areas that you believe will be most transformed by personal mobile technology 10 years from now.

REGIONBase US W. Europe

Base 6702 1000 1501Medicine and healthcare 17% 17% 12%Education and research 30% 27% 22%Finding a job / career opportunities 17% 17% 18%

Page 55: 2014 Millennial Survey Regions and Countries Dataset

Entertainment 36% 37% 37%Personal banking / making payments 20% 20% 20%Access to news / current events 19% 19% 22%Personal expression 12% 13% 11%Social life (with friends) 34% 34% 40%Romantic life 12% 13% 12%Political expression 7% 6% 8%Retail / commerce (e.g. purchasing go 17% 17% 20%Travel 13% 14% 14%Creativity (e.g. making art, pictures, m 19% 18% 17%Work / business productivity 24% 23% 22%Local transportation 8% 7% 7%Personal safety 13% 13% 13%Other 3% 4% 5%

Cell Contents: - Column Percentage

;Table g113A[..].mA_Columns - First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

Short video posted online, or to a social media appBrand new television program (e.g. new episode)Single episode of an old television program (e.g. not a new episode)

Base 6702 6702 6702Smartphone screen 53% 13% 20%Tablet screen 38% 19% 26%Laptop computer screen 52% 36% 48%Television screen 21% 70% 57%Movie screen 6% 11% 10%

Cell Contents: - Column Percentage

;Table g113A[{q113}].mA - 'Short video posted online, or to a social media app' : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 53% 55% 55%Tablet screen 38% 43% 42%Laptop computer screen 52% 62% 60%

Page 56: 2014 Millennial Survey Regions and Countries Dataset

Television screen 21% 29% 20%Movie screen 6% 8% 7%

Cell Contents: - Column Percentage

;Table g113A[{q114}].mA - Brand new television program (e.g. new episode) : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 13% 16% 9%Tablet screen 19% 26% 18%Laptop computer screen 36% 45% 43%Television screen 70% 72% 74%Movie screen 11% 14% 16%

Cell Contents: - Column Percentage

;Table g113A[{q115}].mA - Single episode of an old television program (e.g. not a new episode) : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 20% 24% 14%Tablet screen 26% 33% 27%Laptop computer screen 48% 57% 55%Television screen 57% 64% 61%Movie screen 10% 13% 13%

Cell Contents: - Column Percentage

;Table g113A[{q116}].mA - "Binge watching" an entire season of a television program : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

REGION

Page 57: 2014 Millennial Survey Regions and Countries Dataset

Base US W. Europe

Base 6702 1000 1501Smartphone screen 13% 15% 8%Tablet screen 19% 24% 18%Laptop computer screen 41% 49% 47%Television screen 63% 67% 65%Movie screen 12% 13% 16%

Cell Contents: - Column Percentage

;Table g113A[{q117}].mA - New release movie : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 13% 15% 8%Tablet screen 14% 19% 13%Laptop computer screen 28% 35% 33%Television screen 38% 48% 47%Movie screen 60% 59% 57%

Cell Contents: - Column Percentage

;Table g113A[{q118}].mA - Movie that is not a new release : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 14% 16% 8%Tablet screen 20% 27% 20%Laptop computer screen 44% 52% 49%Television screen 59% 63% 65%Movie screen 23% 28% 27%

Cell Contents: - Column Percentage

Page 58: 2014 Millennial Survey Regions and Countries Dataset

;Table g113A[{q119}].mA - 'Gaming (e.g. strategy, first person shooter, puzzle, racing)' : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 35% 37% 33%Tablet screen 31% 34% 29%Laptop computer screen 49% 53% 58%Television screen 41% 55% 42%Movie screen 9% 11% 10%

Cell Contents: - Column Percentage

;Table g113B[..].mB_Columns - Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

Short video posted online, or to a social media appBrand new television program (e.g. new episode)Single episode of an old television program (e.g. not a new episode)

Base 6702 6702 6702Smartphone screen 32% 7% 8%Tablet screen 14% 8% 10%Laptop computer screen 39% 19% 30%Television screen 12% 64% 49%Movie screen 2% 3% 2%

Cell Contents: - Column Percentage

;Table g113B[{q113}].mB - 'Short video posted online, or to a social media app' : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 32% 30% 29%Tablet screen 14% 13% 14%Laptop computer screen 39% 42% 42%

Page 59: 2014 Millennial Survey Regions and Countries Dataset

Television screen 12% 13% 13%Movie screen 2% 2% 2%

Cell Contents: - Column Percentage

;Table g113B[{q114}].mB - Brand new television program (e.g. new episode) : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 7% 7% 4%Tablet screen 8% 9% 6%Laptop computer screen 19% 19% 21%Television screen 64% 64% 66%Movie screen 3% 2% 3%

Cell Contents: - Column Percentage

;Table g113B[{q115}].mB - Single episode of an old television program (e.g. not a new episode) : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 8% 8% 5%Tablet screen 10% 10% 9%Laptop computer screen 30% 28% 32%Television screen 49% 52% 51%Movie screen 2% 2% 3%

Cell Contents: - Column Percentage

;Table g113B[{q116}].mB - "Binge watching" an entire season of a television program : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

REGION

Page 60: 2014 Millennial Survey Regions and Countries Dataset

Base US W. Europe

Base 6702 1000 1501Smartphone screen 7% 7% 3%Tablet screen 8% 10% 7%Laptop computer screen 28% 28% 30%Television screen 54% 53% 56%Movie screen 3% 2% 4%

Cell Contents: - Column Percentage

;Table g113B[{q117}].mB - New release movie : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 7% 7% 4%Tablet screen 7% 7% 6%Laptop computer screen 14% 15% 15%Television screen 20% 20% 27%Movie screen 53% 51% 47%

Cell Contents: - Column Percentage

;Table g113B[{q118}].mB - Movie that is not a new release : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 7% 7% 4%Tablet screen 9% 10% 7%Laptop computer screen 25% 22% 26%Television screen 50% 53% 53%Movie screen 9% 8% 11%

Cell Contents: - Column Percentage

Page 61: 2014 Millennial Survey Regions and Countries Dataset

;Table g113B[{q119}].mB - 'Gaming (e.g. strategy, first person shooter, puzzle, racing)' : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

REGIONBase US W. Europe

Base 6702 1000 1501Smartphone screen 19% 15% 14%Tablet screen 14% 12% 11%Laptop computer screen 33% 27% 41%Television screen 32% 44% 32%Movie screen 3% 3% 3%

Cell Contents: - Column Percentage

;Table q120 - Thinking about the impact of personal mobile technology, which of the following do you agree with more?

REGIONBase US W. Europe

Base 6702 1000 1501Technology has widened the gap betwe 55% 59% 64%Technology has shrunk the gap betwee 45% 41% 36%

Cell Contents: - Column Percentage

;Table q121 - Which statement about opportunities and personal mobile technology, do you agree with more?

REGIONBase US W. Europe

Base 6702 1000 1501Technology creates more opportunities 71% 73% 68%Technology creates more opportunities 29% 27% 32%

Cell Contents: - Column Percentage

Page 62: 2014 Millennial Survey Regions and Countries Dataset

;Table q122 - Do you feel that personal mobile technology has done more to improve the lives of... Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501It has done more to improve the lives 30% 32% 23%It has done more to improve the lives 66% 67% 61%It has done more to improve the lives 47% 52% 46%None of the above 12% 10% 16%

Cell Contents: - Column Percentage

;Table g123[..].mA_Columns - How strongly do you agree with the following statements?

I am in control of my personal dataI fully understand what types of personal information and data that companies collect and store about meI actively take steps to protect my online security

Base 6702 6702 6702Strongly agree 36% 33% 45%Somewhat agree 43% 42% 42%Somewhat disagree 16% 18% 11%Strongly disagree 6% 6% 2%

Cell Contents: - Column Percentage

;Table g123[{q123}].mA - I am in control of my personal data : How strongly do you agree with the following statements?

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 36% 36% 19%Somewhat agree 43% 48% 46%Somewhat disagree 16% 12% 26%Strongly disagree 6% 4% 9%

Page 63: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table g123[{q124}].mA - I fully understand what types of personal information and data that companies collect and store about me : How strongly do you agree with the following statements?

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 33% 33% 18%Somewhat agree 42% 45% 45%Somewhat disagree 18% 18% 26%Strongly disagree 6% 5% 10%

Cell Contents: - Column Percentage

;Table g123[{q125}].mA - I actively take steps to protect my online security : How strongly do you agree with the following statements?

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 45% 43% 29%Somewhat agree 42% 47% 51%Somewhat disagree 11% 9% 16%Strongly disagree 2% 1% 3%

Cell Contents: - Column Percentage

;Table g123[{q126}].mA - I am worried about getting hacked / someone stealing my information online : How strongly do you agree with the following statements?

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 42% 35% 30%Somewhat agree 38% 44% 44%

Page 64: 2014 Millennial Survey Regions and Countries Dataset

Somewhat disagree 14% 17% 20%Strongly disagree 6% 5% 5%

Cell Contents: - Column Percentage

;Table q127 - Which, if any, of the following apply to you? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501I have posted videos, images or words 20% 23% 15%I have had my email hacked 23% 28% 18%I have had a credit card or bank accou 8% 12% 6%I have had a social network password 21% 24% 14%I have been the victim of online bullyi 13% 15% 8%I have participated in online bullying 6% 7% 3%None of the above 48% 43% 58%

Cell Contents: - Column Percentage

;Table g128[..].mA_Columns - How strongly do you agree with the following statements?

Legislation protects your personal dataCompanies interfere with the freedom of expression in the on-line worldNew technology such as connectivity should be regulated by the government

Base 6702 6702 6702Strongly agree 16% 20% 19%Somewhat agree 38% 43% 34%Somewhat disagree 30% 29% 25%Strongly disagree 16% 9% 21%

Cell Contents: - Column Percentage

;Table g128[{q128}].mA - Legislation protects your personal data : How strongly do you agree with the following statements?

Page 65: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 16% 15% 11%Somewhat agree 38% 37% 43%Somewhat disagree 30% 33% 32%Strongly disagree 16% 16% 14%

Cell Contents: - Column Percentage

;Table g128[{q129}].mA - Companies interfere with the freedom of expression in the on-line world : How strongly do you agree with the following statements?

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 20% 22% 16%Somewhat agree 43% 43% 44%Somewhat disagree 29% 29% 33%Strongly disagree 9% 6% 8%

Cell Contents: - Column Percentage

;Table g128[{q130}].mA - New technology such as connectivity should be regulated by the government : How strongly do you agree with the following statements?

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 19% 17% 13%Somewhat agree 34% 32% 45%Somewhat disagree 25% 28% 28%Strongly disagree 21% 23% 14%

Cell Contents: - Column Percentage

;Table g128[{q131}].mA - New technology such as data and its collection and use should be regulated by the government : How strongly do you agree with the following statements?

Page 66: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 23% 20% 21%Somewhat agree 38% 39% 47%Somewhat disagree 22% 23% 21%Strongly disagree 17% 17% 11%

Cell Contents: - Column Percentage

;Table g128[{q132}].mA - I am comfortable giving companies access to my personal data if they promise not to sell it to 3rd parties : How strongly do you agree with the following statements?

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 20% 20% 14%Somewhat agree 41% 42% 47%Somewhat disagree 25% 24% 27%Strongly disagree 15% 15% 13%

Cell Contents: - Column Percentage

;Table g128[{q133}].mA - I am comfortable giving companies access to my personal data if they use it to create better value for me as a customer : How strongly do you agree with the following statements?

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 17% 17% 10%Somewhat agree 40% 41% 42%Somewhat disagree 27% 27% 32%Strongly disagree 16% 16% 15%

Cell Contents: - Column Percentage

Page 67: 2014 Millennial Survey Regions and Countries Dataset

;Table g128[{q134}].mA - I am comfortable giving companies access to my personal data if they use it to create more personalized offers and products to me as a customer : How strongly do you agree with the following statements?

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 17% 17% 11%Somewhat agree 38% 39% 40%Somewhat disagree 28% 29% 32%Strongly disagree 17% 16% 17%

Cell Contents: - Column Percentage

;Table q135 - When it comes to the Internet, which of the following do you value most?

REGIONBase US W. Europe

Base 6702 1000 1501My freedom to access any content of 24% 31% 23%That my privacy is fully respected 32% 28% 34%The quality / speed of my broadband 26% 24% 24%That governments do not interfere wit 17% 18% 19%

Cell Contents: - Column Percentage

;Table q136 - How familiar are you with the NSA / PRISM / Edward Snowden issues in the United States related to government spying on citizens' personal communications?

REGIONBase US W. Europe

Base 6702 1000 1501Very familiar 20% 25% 21%Somewhat familiar 40% 42% 47%Not very familiar 21% 18% 18%Not at all familiar 19% 14% 14%

Page 68: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table q137 - How strongly do you agree or disagree with the following statement? Overall, I am concerned about the security and privacy of my data and information online

REGIONBase US W. Europe

Base 6702 1000 1501Strongly agree 46% 38% 36%Somewhat agree 43% 50% 49%Somewhat disagree 9% 11% 13%Strongly disagree 2% 1% 2%

Cell Contents: - Column Percentage

;Table q138 - Some people believe that it is acceptable to give up some personal privacy in order to protect national security by allowing governments to access citizens' personal information in the service of preventing attacks and security threats. Others disagree. Where do you stand on the issue?

REGIONBase US W. Europe

Base 6702 1000 1501I think it is acceptable to give up som 38% 40% 38%I think it is unacceptable to give up 50% 46% 48%Don’t know 13% 13% 14%

Cell Contents: - Column Percentage

;Table g139[..].mA_Columns - To what extent do you believe the Snowden revelations will change the privacy-related practices of each of the following groups?

Government Companies Consumers

Base 4038 4038 4038Will significantly change the privacy-re 47% 41% 39%Will slightly change the privacy-related 35% 43% 45%

Page 69: 2014 Millennial Survey Regions and Countries Dataset

Will not change the privacy-related pra 18% 16% 16%

Cell Contents: - Column Percentage

;Table g139[{q139}].mA - Government : To what extent do you believe the Snowden revelations will change the privacy-related practices of each of the following groups?

REGIONBase US W. Europe

Base 3499 679 987Will significantly change the privacy-re 47% 44% 37%Will slightly change the privacy-related 35% 35% 41%Will not change the privacy-related pra 18% 21% 22%

Cell Contents: - Column Percentage

;Table g139[{q140}].mA - Companies : To what extent do you believe the Snowden revelations will change the privacy-related practices of each of the following groups?

REGIONBase US W. Europe

Base 3499 679 987Will significantly change the privacy-re 41% 37% 32%Will slightly change the privacy-related 43% 45% 47%Will not change the privacy-related pra 16% 19% 21%

Cell Contents: - Column Percentage

;Table g139[{q141}].mA - Consumers : To what extent do you believe the Snowden revelations will change the privacy-related practices of each of the following groups?

REGIONBase US W. Europe

Base 3499 679 987Will significantly change the privacy-re 39% 41% 31%Will slightly change the privacy-related 45% 44% 49%

Page 70: 2014 Millennial Survey Regions and Countries Dataset

Will not change the privacy-related pra 16% 15% 19%

Cell Contents: - Column Percentage

;Table q142 - Thinking about technology, which of the following statements do you agree with more?

REGIONBase US W. Europe

Base 6702 1000 1501Technology has expanded access to edu 67% 71% 64%Technology has expanded access to edu 33% 29% 36%

Cell Contents: - Column Percentage

;Table q143 - Which of the following skills do you consider most important to getting a decent paying job in your country? Please select the top 3 most important choices.

REGIONBase US W. Europe

Base 6702 1000 1501Blogging 7% 8% 7%Cloud technology 15% 13% 13%Coding / Programming (e.g. CSS, jQue 36% 37% 35%Financial Modeling 22% 20% 24%Graphic design 25% 21% 21%Google applications (e.g. Google Docs) 17% 17% 14%Microsoft Office (Word, Excel, PowerPo 56% 55% 60%Photo Editing (Photoshop) 10% 8% 11%Website design 27% 24% 25%Web analytics 17% 20% 16%Social media (e.g. LinkedIn, Twitter) 22% 25% 24%Typing speed 27% 36% 26%Video Editing 9% 8% 9%Other 11% 8% 15%

Cell Contents: - Column Percentage

;

Page 71: 2014 Millennial Survey Regions and Countries Dataset

Table q144 - When it comes to the workplace, which of the following do you believe are the top 2 benefits to having a digital skillset / knowing how to use digital tools?

REGIONBase US W. Europe

Base 6702 1000 1501Finishing my work faster 42% 43% 47%Improving the quality of my work 73% 69% 69%Impressing my boss 13% 15% 13%Being an integral part of the team 39% 37% 32%Being seen as someone on the cutting 24% 26% 23%Other 3% 3% 3%None of the above 3% 4% 6%

Cell Contents: - Column Percentage

;Table q145 - In your opinion, which of the following region(s) will lead the world in technology and innovation in the next 10 years? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501North America 49% 60% 35%Latin America 11% 4% 4%Western Europe 24% 19% 30%Eastern Europe 13% 13% 9%Eastern Asia 39% 39% 39%South / Southeast Asia 23% 27% 25%Central Asia / Middle East 21% 16% 20%Africa 3% 4% 4%

Cell Contents: - Column Percentage

;Table q146 - Which Latin American country is set to be the leading country when it comes to technology and innovation?

REGIONBase US W. Europe

Page 72: 2014 Millennial Survey Regions and Countries Dataset

Base 6702 1000 1501Argentina 13% 12% 16%Bolivia .% .% 1%Brazil 40% 37% 39%Chile 6% 3% 5%Colombia 4% 5% 3%Costa Rica 3% 3% 3%Cuba 2% 2% 2%Dominican Republic 2% 4% 2%Ecuador 1% 1% 1%El Salvador .% .% .%Guatemala .% .% .%Haiti .% .% 1%Honduras 1% 1% 1%Mexico 15% 14% 16%Nicaragua .% .% .%Panama 3% 2% 1%Paraguay 1% .% 1%Peru 2% 3% 2%Puerto Rico 3% 8% 2%Uruguay 1% .% 2%Venezuela 2% 2% 2%

Cell Contents: - Column Percentage

;Table q147 - Which is closest to your view?

REGIONBase US W. Europe

Base 6702 1000 1501My country is currently a global leade 29% 57% 28%In the next 5 years, my country will be 19% 17% 20%In the next 10 years, my country will 24% 11% 16%In the next 10 years, my country will 28% 15% 36%

Cell Contents: - Column Percentage

;Table q148 - Who should primarily be investing in technology in your country/region?

Page 73: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501The government 34% 21% 28%Regionally-based startup companies 13% 15% 11%Startup companies from leading devel 14% 14% 14%Established companies from leading d 27% 32% 29%Don’t know 13% 18% 18%

Cell Contents: - Column Percentage

;Table q149 - Which global company or brand is set to be the leader in technology and innovation in the next 10 years?

REGIONBase US W. Europe

Base 6701 1000 1501Amazon 5% 8% 7%Google 34% 35% 34%Apple 21% 25% 21%Facebook 6% 5% 6%Samsung 12% 8% 11%Telefónica (Vivo/O2/Movistar) 1% .% 1%Vodafone 1% 1% 1%America Móvil 1% .% 1%AT&T 2% 5% 1%Microsoft 12% 10% 11%Baidu .% .% 1%Other 4% 4% 7%

Cell Contents: - Column Percentage

;Table q150 - Do you live in a city, a suburb, or a less developed or rural area?

REGIONBase US W. Europe

Base 6702 1000 1501City 60% 39% 51%

Page 74: 2014 Millennial Survey Regions and Countries Dataset

Suburb 29% 47% 33%More rural, less developed 9% 13% 14%Don’t know / decline to answer 1% 1% 1%

Cell Contents: - Column Percentage

;Table q151 - Which of the following best describes your employment status?

REGIONBase US W. Europe

Base 6702 1000 1501Employed, working outside of the ho 47% 46% 44%Employed, working at home 7% 7% 4%Student 30% 28% 34%Not currently employed or retired 11% 18% 11%Other 3% 1% 4%Don’t know / prefer not to say 2% 1% 2%

Cell Contents: - Column Percentage

;Table q152 - Would you consider yourself self-employed?

REGIONBase US W. Europe

Base 6702 1000 1501Yes 28% 14% 21%No 66% 81% 72%Don’t know / prefer not to say 7% 5% 7%

Cell Contents: - Column Percentage

;Table q153 - What is your current marital status?

REGION

Page 75: 2014 Millennial Survey Regions and Countries Dataset

Base US W. Europe

Base 6702 1000 1501Single 64% 63% 64%Married 19% 24% 12%Living together 14% 10% 22%Separated / Divorced 1% 1% 1%Widowed .% .% .%Don’t know / prefer not to say 2% 2% 1%

Cell Contents: - Column Percentage

;Table q154 - Who do you live with?

REGIONBase US W. Europe

Base 6702 1000 1501Parents 46% 40% 42%Other relatives 6% 4% 3%Friends 4% 5% 6%Strangers 1% .% 2%Boyfriend/husband 19% 22% 20%Girlfriend/wife 13% 13% 13%No one 11% 15% 14%

Cell Contents: - Column Percentage

;Table q155 - How do you primarily support yourself?

REGIONBase US W. Europe

Base 6702 1000 1501Personal savings 23% 29% 23%Finances from parents/relatives 23% 21% 22%Finances from partner 8% 13% 5%Personal employment 42% 34% 39%State bursary 3% 2% 9%Privately funded bursary 1% 1% 1%

Page 76: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table qUSS1 - Please indicate which of the following categories best represents your total annual household income.

REGIONBase US W. Europe

Base 1000 1000 0%Less than $25,000 22% 22% 0%$25,000 to $34,999 14% 14% 0%$35,000 to $54,999 18% 18% 0%$55,000 to $69,999 13% 13% 0%$70,000 to $99,999 14% 14% 0%$100,000 to $149,999 8% 8% 0%$150,000 to $199,999 2% 2% 0%$200,000 or more 1% 1% 0%Don’t know / prefer not to say 9% 9% 0%

Cell Contents: - Column Percentage

;Table q156 - Are you a parent or guardian of any children in any of the following age categories? Please select all that apply.

REGIONBase US W. Europe

Base 6702 1000 1501Under 3 years old 15% 14% 11%Ages 4 to 6 8% 9% 6%Ages 7 to 12 8% 7% 5%Ages 13 to 18 3% 3% 2%Ages 19 or over 1% 1% 1%I am not a parent or guardian 71% 73% 79%Don’t know / prefer not to say 3% 2% 2%

Cell Contents: - Column Percentage

;Table q157 - Do you practice any of the following religions? Please select all that apply.

Page 77: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 6702 1000 1501Christianity 46% 51% 28%Islam 1% 1% 4%Hinduism 1% 1% 1%Buddhism 1% 2% 2%Taoism .% 0% 1%Confucianism .% .% .%Shinto .% .% .%Judaism 1% 1% .%Jainism .% 0% .%Other 7% 3% 2%I am not religious 37% 35% 57%Don’t know / prefer not to say 6% 6% 5%

Cell Contents: - Column Percentage

;Table q158 - What political ideology do you most closely identify with?

REGIONBase US W. Europe

Base 6702 1000 1501Strong left / liberal 8% 12% 7%Somewhat left / liberal 16% 16% 22%Center 30% 35% 28%Somewhat right / conservative 10% 12% 9%Strong right / conservative 4% 7% 2%Don’t know / prefer not to answer 32% 18% 31%

Cell Contents: - Column Percentage

;Table q185c - What state do you live in?

REGION

Page 78: 2014 Millennial Survey Regions and Countries Dataset

Base US W. Europe

Base 1000 1000 0%Alabama 1% 1% 0%Alaska .% .% 0%Arizona 3% 3% 0%Arkansas .% .% 0%California 13% 13% 0%Colorado 2% 2% 0%Connecticut 2% 2% 0%Delaware 1% 1% 0%District of Columbia .% .% 0%Florida 6% 6% 0%Georgia 3% 3% 0%Hawaii 1% 1% 0%Idaho .% .% 0%Illinois 5% 5% 0%Indiana 2% 2% 0%Iowa 1% 1% 0%Kansas 1% 1% 0%Kentucky 2% 2% 0%Louisiana 1% 1% 0%Maine 1% 1% 0%Maryland 2% 2% 0%Massachusetts 1% 1% 0%Michigan 3% 3% 0%Minnesota 2% 2% 0%Mississippi .% .% 0%Missouri 2% 2% 0%Montana .% .% 0%Nebraska .% .% 0%Nevada .% .% 0%New Hampshire .% .% 0%New Jersey 3% 3% 0%New Mexico 1% 1% 0%New York 7% 7% 0%North Carolina 3% 3% 0%North Dakota .% .% 0%Ohio 4% 4% 0%Oklahoma 1% 1% 0%Oregon 2% 2% 0%Pennsylvania 5% 5% 0%Rhode Island .% .% 0%South Carolina 2% 2% 0%South Dakota .% .% 0%Tennessee 2% 2% 0%Texas 6% 6% 0%Utah 1% 1% 0%

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Vermont .% .% 0%Virginia 3% 3% 0%Washington 2% 2% 0%West Virginia 1% 1% 0%Wisconsin 2% 2% 0%Wyoming .% .% 0%Do not live in the United States 0% 0% 0%

Cell Contents: - Column Percentage

;Table q159 - What did you study / are you studying in college?

REGIONBase US W. Europe

Base 6702 1000 1501Mathematics 3% 4% 2%Literature 2% 2% 2%History 2% 2% 2%Foreign Languages 3% 2% 4%Economics 5% 2% 7%Business 7% 12% 4%Healthcare / Medicine 8% 11% 5%Physics 1% .% 1%Biology/Chemistry 4% 4% 4%Computer Science & Programmin 10% 10% 8%Engineering 11% 8% 7%Other 24% 26% 18%I do not / did not go to college 22% 17% 34%

Cell Contents: - Column Percentage

;Table q160 - We would be very interested to check in with you again later this year. Would you be open to being re-contacted regarding this survey later this year?

REGIONBase US W. Europe

Base 6702 1000 1501Yes 84% 73% 86%No 16% 27% 14%

Page 80: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table Q10A - Which type of school did you attend for high school?

REGIONBase US W. Europe

Base 4330 749 913Public school / funded by the local, st 76% 85% 85%Private school / independent school / 24% 15% 15%

Cell Contents: - Column Percentage

;Table q1A - Which language do you want to use to complete this survey?

REGIONBase US W. Europe

Base 1000 1000 0%English 98% 98% 0%Spanish 2% 2% 0%

Cell Contents: - Column Percentage

;Table QRACE - Which of the following do you consider yourself?

REGIONBase US W. Europe

Base 1000 1000 0%White / Caucasian 68% 68% 0%Black / African American / Caribbean 13% 13% 0%Asian 12% 12% 0%American Indian 1% 1% 0%Pacific Islander .% .% 0%

Page 81: 2014 Millennial Survey Regions and Countries Dataset

Other 5% 5% 0%Prefer not to say 2% 2% 0%

Cell Contents: - Column Percentage

;Table QHISPANIC - Would you consider yourself to be Hispanic, Spanish or Latino?

REGIONBase US W. Europe

Base 1000 1000 0%Yes 17% 17% 0%No 83% 83% 0%

Cell Contents: - Column Percentage

;Table QUSGROUP - CODE WHICH LANGAUGE THE RESPONDENT SEES

REGIONBase US W. Europe

Base 1000 1000 0%US English 98% 98% 0%US Spanish 2% 2% 0%Not coded 0% 0% 0%

Cell Contents: - Column Percentage

;

;Table Q185ARG - ¿En qué parte de Argentina vive usted?

REGIONBase US W. Europe

Page 82: 2014 Millennial Survey Regions and Countries Dataset

Base 500 0% 0%Provincia de Buenos Aires 41% 0% 0%Catamarca 1% 0% 0%Chaco 1% 0% 0%Chubut 1% 0% 0%Ciudad de Buenos Aires 20% 0% 0%Corrientes 2% 0% 0%Córdoba 7% 0% 0%Entre Ríos 1% 0% 0%Formosa .% 0% 0%Jujuy 2% 0% 0%La Pampa 1% 0% 0%La Rioja 1% 0% 0%Mendoza 4% 0% 0%Misiones 1% 0% 0%Neuquén 2% 0% 0%Río Negro 1% 0% 0%Salta 2% 0% 0%San Juan .% 0% 0%San Luis 1% 0% 0%Santa Cruz .% 0% 0%Santa Fe 8% 0% 0%Santiago del Estero .% 0% 0%Tierra del Fuego .% 0% 0%Tucumán 1% 0% 0%Otro .% 0% 0%No sé / Prefiero no contestar 2% 0% 0%

Cell Contents: - Column Percentage

;Table QARGS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

REGIONBase US W. Europe

Base 500 0% 0%Menos de 7.000 pesos argentinos 19% 0% 0%$7.000 a $13.999 13% 0% 0%$14.000 a $34.999 7% 0% 0%$35.000 a $69.999 12% 0% 0%$70.000 a $139.999 14% 0% 0%$140.000 a $249.999 7% 0% 0%$250.000 o más 3% 0% 0%No sé / prefiero no contestar 25% 0% 0%

Page 83: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table QARGS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 500 0% 0%Inicial (jardín/preescolar) 0% 0% 0%Primario 1% 0% 0%E.G.B. .% 0% 0%Secundario 30% 0% 0%Polimodal 14% 0% 0%Terciario no universitario 19% 0% 0%Universitario 34% 0% 0%No sabe/ Negarse a contestar .% 0% 0%

Cell Contents: - Column Percentage

;Table q185BRA - Em que parte do Brasil você mora?

REGIONBase US W. Europe

Base 500 0% 0%Acre 0% 0% 0%Alagoas 1% 0% 0%Amapá 1% 0% 0%Amazonas 1% 0% 0%Bahia 4% 0% 0%Ceará 3% 0% 0%Distrito Federal 2% 0% 0%Espírito Santo 3% 0% 0%Goiás 2% 0% 0%Maranhão 2% 0% 0%Mato Grosso 1% 0% 0%Mato Grosso do Sul .% 0% 0%Minas Gerais 11% 0% 0%Pará 1% 0% 0%

Page 84: 2014 Millennial Survey Regions and Countries Dataset

Paraíba 1% 0% 0%Paraná 8% 0% 0%Pernambuco 2% 0% 0%Piauí 1% 0% 0%Rio de Janeiro 11% 0% 0%Rio Grande do Norte 2% 0% 0%Rio Grande do Sul 6% 0% 0%Rondônia .% 0% 0%Roraima 0% 0% 0%Santa Catarina 4% 0% 0%São Paulo 30% 0% 0%Sergipe 1% 0% 0%Tocantins 1% 0% 0%Outro 0% 0% 0%Não sei / prefiro não dizer 1% 0% 0%

Cell Contents: - Column Percentage

;Table qBRAS2 - Qual foi o grau de instrução formal mais alto que você concluiu?

REGIONBase US W. Europe

Base 500 0% 0%Ensino médio completo ou menos 26% 0% 0%Curso universitário incompleto ou esco 36% 0% 0%Diploma de dois anos de curso superio 5% 0% 0%Curso universitário completo 19% 0% 0%Pós-graduação incompleto 4% 0% 0%Mestrado 2% 0% 0%Curso universitário completo com espe 5% 0% 0%Doutorado .% 0% 0%Prefiro não responder 2% 0% 0%

Cell Contents: - Column Percentage

;Table qBRAS1 - Qual das seguintes categorias melhor representa a renda anual total do seu domicílio

REGIONBase US W. Europe

Page 85: 2014 Millennial Survey Regions and Countries Dataset

Base 500 0% 0%Menos de R$10,000 16% 0% 0%R$10,000 – R$19,999 15% 0% 0%R$20,000 – R$29,999 12% 0% 0%R$30,000 – R$42,999 13% 0% 0%R$43,000 – R$66,999 12% 0% 0%R$67,000 – R$91,999 11% 0% 0%R$92,000 – R$122,999 5% 0% 0%Mais de R$123,000 7% 0% 0%Não sei / prefiro não dizer 10% 0% 0%

Cell Contents: - Column Percentage

;Table q185CHL - ¿En qué parte de Chile vive usted?

REGIONBase US W. Europe

Base 500 0% 0%Aisén .% 0% 0%la Antártica Chilena .% 0% 0%Antofagasta 4% 0% 0%Arauco 0% 0% 0%Arica 1% 0% 0%Biobío 5% 0% 0%Cachapoal .% 0% 0%Capitán Prat 0% 0% 0%Cardenal Caro .% 0% 0%Cauquenes 0% 0% 0%Cautín 1% 0% 0%Chacabuco 0% 0% 0%Chañaral 0% 0% 0%Chiloé 0% 0% 0%Choapa .% 0% 0%Coihaique .% 0% 0%Colchagua .% 0% 0%Concepción 5% 0% 0%Copiapó 2% 0% 0%Cordillera .% 0% 0%Curicó 1% 0% 0%El Loa .% 0% 0%Elqui 2% 0% 0%General Carrera 0% 0% 0%

Page 86: 2014 Millennial Survey Regions and Countries Dataset

Huasco 0% 0% 0%Iquique 2% 0% 0%Isla de Pascua .% 0% 0%Limarí .% 0% 0%Linares .% 0% 0%Llanquihue 0% 0% 0%Los Andes .% 0% 0%Magallanes 1% 0% 0%Maipo 1% 0% 0%Malleco .% 0% 0%Melipilla .% 0% 0%Ñuble 1% 0% 0%Osorno 1% 0% 0%Palena 0% 0% 0%Parinacota 0% 0% 0%Petorca .% 0% 0%Quillota 1% 0% 0%Ranco .% 0% 0%San Antonio 1% 0% 0%San Felipe de Aconcagua .% 0% 0%Santiago 43% 0% 0%Talagante 0% 0% 0%Talca 2% 0% 0%Tamarugal 0% 0% 0%Tierra del Fuego 0% 0% 0%Tocopilla .% 0% 0%Última Esperanza .% 0% 0%Valdivia 3% 0% 0%Valparaíso 9% 0% 0%Otro 9% 0% 0%No sé / Prefiero no contestar 2% 0% 0%

Cell Contents: - Column Percentage

;Table qCHLS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

REGIONBase US W. Europe

Base 500 0% 0%Hasta 99.999 CLP por año 7% 0% 0%1.000.000 a 3.999.999 30% 0% 0%4.000.000 a 7.999.999 16% 0% 0%8.000.000 a 14.999.999 13% 0% 0%

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15.000.000 a 24.999.999 7% 0% 0%25.000.000 o más 3% 0% 0%No sé / prefiero no contestar 24% 0% 0%

Cell Contents: - Column Percentage

;Table qCHLS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 500 0% 0%Inicial (jardín/preescolar) 0% 0% 0%Primario 1% 0% 0%Secundario 19% 0% 0%Polimodal 2% 0% 0%Terciario no universitario 14% 0% 0%Universitario 60% 0% 0%No sabe/ Negarse a contestar 5% 0% 0%

Cell Contents: - Column Percentage

;Table qCOLS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar mensual.

REGIONBase US W. Europe

Base 300 0% 0%Menos de 200.000 pesos 7% 0% 0%De 200.001 a 400.000 pesos 8% 0% 0%De 400.001 a 700.000 pesos 12% 0% 0%De 700.001 a 1.000.000 pesos 15% 0% 0%De 1.000.001 a 1.500.000 pesos 13% 0% 0%De 1.500.001 a 2.000.000 pesos 14% 0% 0%De 2.000.001 a 3.000.000 pesos 11% 0% 0%De 3.000.001 a 4.500.000 pesos 7% 0% 0%Más de 4.500.000 pesos 6% 0% 0%No sé / prefiero no contestar 8% 0% 0%

Cell Contents: - Column Percentage

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;Table qCOLS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 300 0% 0%Preescolar 0% 0% 0%Primaria básica .% 0% 0%Secundaria básica 13% 0% 0%Formación académica o educación clás 6% 0% 0%Secundaria técnica 13% 0% 0%Profesorado .% 0% 0%Educación técnica profesional 23% 0% 0%Escuela tecnológica 13% 0% 0%Título profesional 24% 0% 0%Especialización 5% 0% 0%Maestría 2% 0% 0%Doctorado .% 0% 0%No sé / prefiero no contestar 1% 0% 0%

Cell Contents: - Column Percentage

;Table q185COL - ¿En qué parte de Colombia vive usted?

REGIONBase US W. Europe

Base 300 0% 0%Amazonas 0% 0% 0%Antioquia 15% 0% 0%Arauca .% 0% 0%Atlántico 5% 0% 0%Bolívar 2% 0% 0%Boyacá 1% 0% 0%Caldas 1% 0% 0%Caquetá .% 0% 0%Casanare 1% 0% 0%Cauca 1% 0% 0%César .% 0% 0%

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Chocó 0% 0% 0%Córdoba 1% 0% 0%Cundinamarca 16% 0% 0%Distrito Capital 23% 0% 0%Guainía .% 0% 0%Guaviare 0% 0% 0%Huila 2% 0% 0%La Guajira 0% 0% 0%Magdalena 1% 0% 0%Meta 2% 0% 0%Nariño 1% 0% 0%Norte de Santander 2% 0% 0%Putumayo 0% 0% 0%Quindío 1% 0% 0%Risaralda 4% 0% 0%San Andrés y Providencia 0% 0% 0%Santander 4% 0% 0%Sucre 1% 0% 0%Tolima 2% 0% 0%Valle del Cauca 11% 0% 0%Vaupés 0% 0% 0%Vichada 0% 0% 0%Otro .% 0% 0%No sé / Prefiero no contestar 1% 0% 0%

Cell Contents: - Column Percentage

;Table qGERS1 - Bitte geben Sie an, welche der folgenden Kategorien am ehesten Ihrem Gesamthaushaltseinkommen pro Monat entspricht

REGIONBase US W. Europe

Base 500 0% 500€750 oder weniger 16% 0% 16%€751 – €1,499 19% 0% 19%€1,500 – €2,499 20% 0% 20%€2,500 – €3,499 16% 0% 16%€3,500 – €4,499 7% 0% 7%€4,500 – €5,499 5% 0% 5%€5,500 – €6,499 2% 0% 2%€6,500 – €7,499 .% 0% .%€7,500 oder mehrWeiß nicht 1% 0% 1%Weiß nicht/Möchte hierzu keine Ang 13% 0% 13%

Page 90: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table qGERS2 - Bitte geben Sie Ihren höchsten Bildungsgrad an.

REGIONBase US W. Europe

Base 500 0% 500Hauptschulabschluss 6% 0% 6%Realschulabschluss 27% 0% 27%Abitur 33% 0% 33%Studium ohne Abschluss 9% 0% 9%Fachhochschulabschluss 10% 0% 10%Studium mit Abschluss 13% 0% 13%Promotion .% 0% .%Habilitation 0% 0% 0%Weiß nicht/Möchte hierzu keine Ang .% 0% .%

Cell Contents: - Column Percentage

;Table q185GER - In welchem Teil Deutschlands leben Sie?

REGIONBase US W. Europe

Base 500 0% 500Baden-Württemberg 14% 0% 14%Bayern 15% 0% 15%Berlin 6% 0% 6%Brandenburg 2% 0% 2%Bremen 1% 0% 1%Hamburg 2% 0% 2%Hessen 7% 0% 7%Mecklenburg-Vorpommern 2% 0% 2%Niedersachsen 9% 0% 9%Nordrhein-Westfalen 20% 0% 20%Rheinland-Pfalz 5% 0% 5%Saarland 2% 0% 2%Sachsen 6% 0% 6%Sachsen-Anhalt 3% 0% 3%

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Schleswig-Holstein 3% 0% 3%Thüringen 4% 0% 4%Anderswo 0% 0% 0%Weiß nicht/Möchte hierzu keine Ang .% 0% .%

Cell Contents: - Column Percentage

;Table q185MEX - ¿En qué parte de México vive usted?

REGIONBase US W. Europe

Base 501 0% 0%Aguascalientes 1% 0% 0%Baja California 5% 0% 0%Baja California Sur 1% 0% 0%Campeche .% 0% 0%Chiapas 1% 0% 0%Chihuahua 2% 0% 0%Coahuila de Zaragoza 2% 0% 0%Colima 1% 0% 0%Distrito Federal 18% 0% 0%Durango 1% 0% 0%Guanajuato 3% 0% 0%Guerrero .% 0% 0%Hidalgo 1% 0% 0%Jalisco 9% 0% 0%Ciudad de México 12% 0% 0%Michoacán de Ocampo 1% 0% 0%Morelos 3% 0% 0%Nayarit 2% 0% 0%Nuevo León 6% 0% 0%Oaxaca 1% 0% 0%Puebla 4% 0% 0%Queretaro de Arteaga 2% 0% 0%Quintana Roo 1% 0% 0%San Luis Potosí 2% 0% 0%Sinaloa 2% 0% 0%Sonora 4% 0% 0%Tabasco 1% 0% 0%Tamaulipas 2% 0% 0%Tlaxcala 1% 0% 0%Veracruz-Llave 4% 0% 0%Yucatán 3% 0% 0%

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Zacatecas 1% 0% 0%Otro 1% 0% 0%No sabe/No responde 1% 0% 0%

Cell Contents: - Column Percentage

;Table qMEXS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar mensual.

REGIONBase US W. Europe

Base 501 0% 0%Hasta $1.600 5% 0% 0%$1.601 a $4.000 12% 0% 0%$4.001 a $6.400 19% 0% 0%$6.401 a $19.200 36% 0% 0%$19.201 a $48.000 13% 0% 0%$48.001 o más 4% 0% 0%No sé / prefiero no contestar 11% 0% 0%

Cell Contents: - Column Percentage

;Table qMEXS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 501 0% 0%Educación básica 1% 0% 0%Educación media 3% 0% 0%Educación media superior 30% 0% 0%Educación superior 29% 0% 0%Maestría 3% 0% 0%Título profesional (por ejemplo: Dr., Lic. 34% 0% 0%Título de doctorado 0% 0% 0%No sabe/ Negarse a contestar 1% 0% 0%

Cell Contents: - Column Percentage

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;Table q185PER - ¿En qué parte del Perú vive usted?

REGIONBase US W. Europe

Base 300 0% 0%Amazonas 1% 0% 0%Ancash 2% 0% 0%Apurímac 0% 0% 0%Arequipa 7% 0% 0%Ayacucho 1% 0% 0%Cajamarca 1% 0% 0%Callao 4% 0% 0%Cusco 3% 0% 0%Huancavelica .% 0% 0%Huánuco 1% 0% 0%Ica 4% 0% 0%Junín 3% 0% 0%La Libertad 6% 0% 0%Lambayeque 4% 0% 0%Lima 51% 0% 0%Loreto 2% 0% 0%Madre de Dios .% 0% 0%Moquegua 0% 0% 0%Pasco 0% 0% 0%Piura 4% 0% 0%Puno .% 0% 0%San Martín 4% 0% 0%Tacna 1% 0% 0%Tumbes 1% 0% 0%Ucayali 1% 0% 0%Otro 1% 0% 0%No sé / Prefiero no contestar .% 0% 0%

Cell Contents: - Column Percentage

;Table qPERS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

REGIONBase US W. Europe

Page 94: 2014 Millennial Survey Regions and Countries Dataset

Base 300 0% 0%Hasta 3000 PEN 24% 0% 0%3001 a 6000 PEN 13% 0% 0%6001 a 12000 PEN 9% 0% 0%12.001 a 24.000 PEN 12% 0% 0%24.001 a 48.000 PEN 9% 0% 0%48.001 a 80.000 PEN 6% 0% 0%Más de 80.001 PEN 2% 0% 0%No sé / prefiero no contestar 25% 0% 0%

Cell Contents: - Column Percentage

;Table qPERS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 300 0% 0%Primaria 0% 0% 0%Secundaria 14% 0% 0%Superior No universitaria 25% 0% 0%Superior Universitaria 61% 0% 0%No sabe/ Negarse a contestar 0% 0% 0%

Cell Contents: - Column Percentage

;Table q185SPA - ¿En qué parte de España vive?

REGIONBase US W. Europe

Base 500 0% 500Álava 1% 0% 1%Albacete .% 0% .%Alicante 3% 0% 3%Almería 2% 0% 2%Asturias 4% 0% 4%Ávila 0% 0% 0%Badajoz 2% 0% 2%Baleares 1% 0% 1%

Page 95: 2014 Millennial Survey Regions and Countries Dataset

Barcelona 12% 0% 12%Burgos 1% 0% 1%Cáceres .% 0% .%Cádiz 4% 0% 4%Cantabria 1% 0% 1%Castellón .% 0% .%Ciudad Real 2% 0% 2%Córdoba 2% 0% 2%Cuenca .% 0% .%Gerona 1% 0% 1%Granada 1% 0% 1%Guadalajara 1% 0% 1%Guipúzcoa 2% 0% 2%Huelva 2% 0% 2%Huesca .% 0% .%Jaén 1% 0% 1%La Coruña 3% 0% 3%La Rioja .% 0% .%León 0% 0% 0%Lérida 1% 0% 1%Lugo .% 0% .%Madrid 14% 0% 14%Málaga 3% 0% 3%Murcia 3% 0% 3%Navarra 1% 0% 1%Orense 0% 0% 0%Palencia .% 0% .%Las Palmas 1% 0% 1%Pontevedra 3% 0% 3%Salamanca 1% 0% 1%Santa Cruz 1% 0% 1%Segovia .% 0% .%Sevilla 6% 0% 6%Soria 1% 0% 1%Tarragona 1% 0% 1%Teruel 1% 0% 1%Toledo 1% 0% 1%Valencia 7% 0% 7%Valladolid 1% 0% 1%Zamora .% 0% .%Zaragoza 3% 0% 3%Otros 1% 0% 1%No sabe/no contesta .% 0% .%

Cell Contents: - Column Percentage

;

Page 96: 2014 Millennial Survey Regions and Countries Dataset

Table qESPS1 - Indique cuál de las siguientes categorías representa mejor los ingresos anuales totales de su unidad familiar.

REGIONBase US W. Europe

Base 500 0% 500Menos de 7500 € 12% 0% 12%De 7500 € a 14 499 € 28% 0% 28%De 14 500 € a 20 499 € 15% 0% 15%De 20 500 € a 29 999 € 14% 0% 14%De 30 000 € a 39 499 € 7% 0% 7%De 39 500 € a 49 999 € 4% 0% 4%De 50 000 € a 74 499 € 3% 0% 3%Más de 75 000 € 2% 0% 2%No sabe/no contesta 16% 0% 16%

Cell Contents: - Column Percentage

;Table qESPS2 - ¿Cuál es el nivel más alto de educación formal que ha terminado?

REGIONBase US W. Europe

Base 500 0% 500Educación obligatoria 6% 0% 6%Algunos cursos extra después de compl 6% 0% 6%Bachillerato o equivalente (p. ej., ni 30% 0% 30%Estudios universitarios sin finalizar 18% 0% 18%Diplomatura (título de 3 años) o nivel 12% 0% 12%Licenciatura (título de cuatro años c 16% 0% 16%Máster 7% 0% 7%Título de posgrado 3% 0% 3%Doctorado 1% 0% 1%No sabe/no contesta .% 0% .%

Cell Contents: - Column Percentage

;Table qUKS2 - What is the highest level of formal education that you have completed?

Page 97: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 501 0% 501Less than secondary school .% 0% .%Some secondary school 2% 0% 2%Secondary school or equivalent (for 36% 0% 36%Some University but no degree 17% 0% 17%Associate degree (for example: AA, AS 6% 0% 6%Bachelor’s degree (for example: BA, AB 24% 0% 24%Master’s degree (for example: MA, 8% 0% 8%Professional degree (for example: MD, 3% 0% 3%Doctorate degree (for example: PhD, 2% 0% 2%Don’t know / prefer not to say 2% 0% 2%

Cell Contents: - Column Percentage

;Table qUKS1 - Please indicate which of the following categories best represents your total annual household income.

REGIONBase US W. Europe

Base 501 0% 501Less than £10,000 18% 0% 18%£10,000 to £17,499 16% 0% 16%£17,500 to £24,999 14% 0% 14%£25,000 to £37,499 19% 0% 19%£37,500 to £49,999 11% 0% 11%£50,000 to £59,999 6% 0% 6%£60,000 to £74,999 3% 0% 3%£75,000 or more 5% 0% 5%Don’t know / prefer not to say 8% 0% 8%

Cell Contents: - Column Percentage

;Table q185UK - What part of the UK do you live in?

REGIONBase US W. Europe

Page 98: 2014 Millennial Survey Regions and Countries Dataset

Base 501 0% 501The South East 14% 0% 14%The South West 8% 0% 8%London 13% 0% 13%The East of England 7% 0% 7%The West Midlands 13% 0% 13%The East Midlands 6% 0% 6%Wales 4% 0% 4%Yorkshire & the Humber 8% 0% 8%The North West 11% 0% 11%The North East 5% 0% 5%Scotland 9% 0% 9%Northern Ireland 1% 0% 1%Other .% 0% .%Don’t know / prefer not to answer 1% 0% 1%

Cell Contents: - Column Percentage

;Table q185VEN - ¿En qué parte de Venezuela vive usted?

REGIONBase US W. Europe

Base 250 0% 0%Amazonas 0% 0% 0%Anzoátegui 3% 0% 0%Apure .% 0% 0%Aragua 4% 0% 0%Barinas 3% 0% 0%Bolívar 5% 0% 0%Carabobo 9% 0% 0%Cojedes 0% 0% 0%Delta Amacuro .% 0% 0%Dependencias Federales 0% 0% 0%Distrito Capital 17% 0% 0%Falcón 2% 0% 0%Guárico 1% 0% 0%Lara 4% 0% 0%Mérida 5% 0% 0%Miranda 14% 0% 0%Monagas 1% 0% 0%Nueva Esparta 2% 0% 0%Portuguesa 2% 0% 0%

Page 99: 2014 Millennial Survey Regions and Countries Dataset

Sucre 2% 0% 0%Táchira 5% 0% 0%Trujillo 1% 0% 0%Vargas 1% 0% 0%Yaracuy 1% 0% 0%Zulia 11% 0% 0%Otro 0% 0% 0%No sé / Prefiero no contestar 4% 0% 0%

Cell Contents: - Column Percentage

;Table qVENS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 250 0% 0%Escuela primaria 0% 0% 0%Educación media 3% 0% 0%Educación diversificada (escuela secun 33% 0% 0%Escuelas técnicas - Técnico Superior Un 33% 0% 0%Licenciado 23% 0% 0%Terciaria 3% 0% 0%Maestría 4% 0% 0%Doctorado 0% 0% 0%No sé / prefiero no contestar 1% 0% 0%

Cell Contents: - Column Percentage

;Table qVENS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

REGIONBase US W. Europe

Base 250 0% 0%Hasta 24.600 VEF 18% 0% 0%24.601 a 48.000 VEF 12% 0% 0%48.001 a 72.000 VEF 12% 0% 0%72.001 a 120.000 VEF 12% 0% 0%120.001 a 216.000 VEF 9% 0% 0%

Page 100: 2014 Millennial Survey Regions and Countries Dataset

216.001 a 345.000 VEF 3% 0% 0%Más de 345.000 VEF 1% 0% 0%No sé / prefiero no contestar 32% 0% 0%

Cell Contents: - Column Percentage

;

;Table qCOSS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 150 0% 0%Sin estudios 1% 0% 0%Primaria incompleta 3% 0% 0%Primaria completa 13% 0% 0%Secundaria incompleta 46% 0% 0%Secundaria completa 19% 0% 0%Universidad incompleta 11% 0% 0%Universidad completa 7% 0% 0%Estudios de posgrado 0% 0% 0%No sé / prefiero no contestar 0% 0% 0%

Cell Contents: - Column Percentage

;Table qCOSS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

REGIONBase US W. Europe

Base 150 0% 0%Menos de 100 mil colones 3% 0% 0%100 mil a menos de 150 mil 1% 0% 0%150 mil a menos de 200 mil 1% 0% 0%200 mil a menos de 300 mil 5% 0% 0%300 mil a menos de 450 mil 4% 0% 0%450 mil a menos de 600 mil 3% 0% 0%600 mil a menos de 750 mil 3% 0% 0%

Page 101: 2014 Millennial Survey Regions and Countries Dataset

750 mil a menos de 1 millón 7% 0% 0%1 millón o más 65% 0% 0%No sé / Prefiero no contestar 7% 0% 0%

Cell Contents: - Column Percentage

;Table q185COS - ¿En qué parte de Costa Rica vive usted?

REGIONBase US W. Europe

Base 150 0% 0%Alajuela 20% 0% 0%Cartago 15% 0% 0%Guanacaste 0% 0% 0%Heredia 15% 0% 0%Limón 1% 0% 0%Puntarenas 0% 0% 0%San Jose 48% 0% 0%Otro 0% 0% 0%No sé / Prefiero no contestar 2% 0% 0%

Cell Contents: - Column Percentage

;Table qECUS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 300 0% 0%Sin instruccion .% 0% 0%Primaria incompleta 2% 0% 0%Primaria completa 2% 0% 0%Secundaria academica Incompleta 3% 0% 0%Secundaria academica Completa 40% 0% 0%Secundaria tecnica Incompleta 4% 0% 0%Secundaria tecnica Completa 14% 0% 0%Educacion superior de pregrado y gra 30% 0% 0%Educacion superior de posgrado 2% 0% 0%No sé / Prefiero no contestar 4% 0% 0%

Page 102: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table qECUS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

REGIONBase US W. Europe

Base 300 0% 0%$0 - $9,210 25% 0% 0%$9,211 -$11,730 13% 0% 0%$11,731 - $14,670 4% 0% 0%$14,671 - $17,610 5% 0% 0%$17,611 - $35,210 5% 0% 0%$35,211 - $52,810 2% 0% 0%$52,811 - $70,420 1% 0% 0%$70,421 - $93,890 1% 0% 0%$93,891+ 2% 0% 0%No sé / Prefiero no contestar 42% 0% 0%

Cell Contents: - Column Percentage

;Table q185ECU - ¿En qué parte de Ecuador vive usted?

REGIONBase US W. Europe

Base 300 0% 0%Azuay 0% 0% 0%Bolivar .% 0% 0%Carchi 0% 0% 0%Cañar 0% 0% 0%Chimborazo 0% 0% 0%Cotopaxi .% 0% 0%El Oro .% 0% 0%Esmeraldas 1% 0% 0%Galápagos 0% 0% 0%Guayas 46% 0% 0%Imbabura 1% 0% 0%Loja .% 0% 0%

Page 103: 2014 Millennial Survey Regions and Countries Dataset

Los Ríos .% 0% 0%Manabí .% 0% 0%Morona-Santiago 0% 0% 0%Napo 0% 0% 0%Orellana 0% 0% 0%Pastaza 0% 0% 0%Pichincha 46% 0% 0%Santa Elena 0% 0% 0%Santo Domingo de los Tsáchilas 1% 0% 0%Sucumbíos 0% 0% 0%Tungurahua 0% 0% 0%Zamora-Chinchipe 0% 0% 0%Otro 1% 0% 0%No sé / Prefiero no contestar 2% 0% 0%

Cell Contents: - Column Percentage

;Table qGUAS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 150 0% 0%Sin educacion 1% 0% 0%Primaria incompleta 2% 0% 0%Primaria completa 9% 0% 0%Secundaria incompleta 5% 0% 0%Secundaria completa 41% 0% 0%Universidad – incompleta 29% 0% 0%Universidad – completa 10% 0% 0%Post-Grado 1% 0% 0%Masters 0% 0% 0%No sé / Prefiero no contestar 2% 0% 0%

Cell Contents: - Column Percentage

;Table qGUAS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar mensual.

REGIONBase US W. Europe

Page 104: 2014 Millennial Survey Regions and Countries Dataset

Base 150 0% 0%Menos de Q 2,350 23% 0% 0%Q 2,351 a Q 7,800 26% 0% 0%Q 7,801 a Q 15,650 7% 0% 0%Q 15,651 a Q 27,450 .% 0% 0%Q 27,451 a Q 39,200 .% 0% 0%Q 39,201 a Q 78,350 .% 0% 0%Q 78,351 a más 1% 0% 0%No sé / Prefiero no contestar 41% 0% 0%Q 38,201 o más 0% 0% 0%No sé / Prefiero no contestar .% 0% 0%

Cell Contents: - Column Percentage

;Table q185GUA - ¿En qué parte de Guatemala vive usted?

REGIONBase US W. Europe

Base 150 0% 0%Alta Verapaz 0% 0% 0%Baja Verapaz 0% 0% 0%Chimaltenango 0% 0% 0%Chiquimula 0% 0% 0%El Progreso 1% 0% 0%Escuintla 2% 0% 0%Guatemala 91% 0% 0%Huehuetenango 0% 0% 0%Izabal 0% 0% 0%Jalapa 1% 0% 0%Jutiapia 1% 0% 0%Petén 0% 0% 0%Quezaltenango .% 0% 0%Quiché 1% 0% 0%Retalhuleu 0% 0% 0%Sacatepéquez 0% 0% 0%San Marcos 0% 0% 0%Santa Rosa 0% 0% 0%Sololá 0% 0% 0%Suchitepéquez 0% 0% 0%Totonicapán 0% 0% 0%Zacapa 0% 0% 0%Otro 1% 0% 0%

Page 105: 2014 Millennial Survey Regions and Countries Dataset

No sé / Prefiero no contestar 2% 0% 0%

Cell Contents: - Column Percentage

;Table qNICS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 150 0% 0%Sin educacion 0% 0% 0%Primaria incompleta 4% 0% 0%Primaria completa 3% 0% 0%Secundaria incompleta 16% 0% 0%Secundaria completa 23% 0% 0%Universidad – incompleta 35% 0% 0%Universidad – completa 15% 0% 0%Post-Grado 1% 0% 0%Masters 0% 0% 0%No sé / Prefiero no contestar 2% 0% 0%

Cell Contents: - Column Percentage

;Table qNICS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar mensual.

REGIONBase US W. Europe

Base 150 0% 0%Menos de C$ 7,300 40% 0% 0%C$ 7,301 a C$ 24,500 37% 0% 0%C$ 24,501 a C$ 49,000 7% 0% 0%C$ 49,001 a C$ 85,600 1% 0% 0%C$ 85,601 a C$ 122,200 1% 0% 0%C$ 122,201 a C$ 244,500 0% 0% 0%C$ 244,501 a más 0% 0% 0%No sé / Prefiero no contestar 15% 0% 0%C$87,501 o más 0% 0% 0%No sé / Prefiero no contestar 0% 0% 0%

Page 106: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table q185NIC - ¿En qué parte de Nicaragua vive usted?

REGIONBase US W. Europe

Base 150 0% 0%Boaco 0% 0% 0%Carazo 0% 0% 0%Chinandega 0% 0% 0%Chontales 0% 0% 0%Estelí 0% 0% 0%Granada 1% 0% 0%Jinotega 1% 0% 0%León 1% 0% 0%Madriz 0% 0% 0%Managua 95% 0% 0%Masaya 0% 0% 0%Matagalpa 1% 0% 0%Nueva Segovia 0% 0% 0%Región Autónoma Atlántico Norte (RA 0% 0% 0%Región Autónoma Atlántico Sur (RAAS 1% 0% 0%Río San Juan 0% 0% 0%Rivas 1% 0% 0%Otro 0% 0% 0%No sé / Prefiero no contestar 1% 0% 0%

Cell Contents: - Column Percentage

;Table q185PAN - ¿En qué parte de Panama vive usted?

REGIONBase US W. Europe

Base 150 0% 0%Bocas del Toro 1% 0% 0%Chiriquí 1% 0% 0%Coclé 0% 0% 0%Colón 1% 0% 0%

Page 107: 2014 Millennial Survey Regions and Countries Dataset

Darién 1% 0% 0%Herrera 0% 0% 0%Los Santos 0% 0% 0%Panamá 92% 0% 0%Veraguas 0% 0% 0%Emberá 1% 0% 0%Guna Yala 0% 0% 0%Ngäbe-Buglé Comarca 0% 0% 0%Kuna de Madugandí 0% 0% 0%Kuna de Wargandí 0% 0% 0%Otro 2% 0% 0%No sé / Prefiero no contestar 2% 0% 0%

Cell Contents: - Column Percentage

;Table qPANS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

REGIONBase US W. Europe

Base 150 0% 0%Menos de $ 1,200 34% 0% 0%$ 1,201 a $ 2,400 23% 0% 0%$ 2,401 a $ 4,800 8% 0% 0%$ 4,801 a $ 9,600 10% 0% 0%$ 9,601 a $ 19,200 6% 0% 0%$ 19,201 a $ 38,400 6% 0% 0%Más de $ 38,400 1% 0% 0%No sé / Prefiero no contestar 13% 0% 0%

Cell Contents: - Column Percentage

;Table qPANS2 - ¿Cuál es el nivel más alto de educación que usted ha completado?

REGIONBase US W. Europe

Base 150 0% 0%(No tengo educación formal) Ninguna 0% 0% 0%Centro de Alfabetización 0% 0% 0%

Page 108: 2014 Millennial Survey Regions and Countries Dataset

Escuela Primaria, incompleta 1% 0% 0%Escuela Primaria completa 1% 0% 0%Escuela Secundaria, incompleta 13% 0% 0%Escuela Secundaria, completa 20% 0% 0%Bachillerato 24% 0% 0%Bachillerato (Técnico) 4% 0% 0%Universidad – incompleta 26% 0% 0%Universidad – completa 10% 0% 0%Post-Grado 0% 0% 0%Masters 0% 0% 0%NS/NR 0% 0% 0%Otro 1% 0% 0%No sé / Prefiero no contestar 0% 0% 0%

Cell Contents: - Column Percentage

;Table qELSS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 150 0% 0%Sin educacion 0% 0% 0%Primaria incompleta .% 0% 0%Primaria completa 1% 0% 0%Secundaria incompleta 2% 0% 0%Secundaria completa 25% 0% 0%Universidad – incompleta 51% 0% 0%Universidad – completa 19% 0% 0%Post-Grado 0% 0% 0%Masters 0% 0% 0%No sé / Prefiero no contestar 1% 0% 0%

Cell Contents: - Column Percentage

;Table qELSS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar mensual.

REGIONBase US W. Europe

Page 109: 2014 Millennial Survey Regions and Countries Dataset

Base 150 0% 0%Menos de $ 300 16% 0% 0%$ 301 a $ 1,000 37% 0% 0%$ 1,001 a $ 2,000 10% 0% 0%$ 2,001 a $ 3,500 6% 0% 0%$ 3,501 a $ 5,000 2% 0% 0%$ 5,001 a $ 10,000 1% 0% 0%$ 10,001 a más 1% 0% 0%No sé / Prefiero no contestar 26% 0% 0%$5,001 o más 0% 0% 0%No sé / Prefiero no contestar 0% 0% 0%

Cell Contents: - Column Percentage

;Table q185ELS - ¿En qué parte de El Salvador vive usted?

REGIONBase US W. Europe

Base 150 0% 0%Ahuachapan 0% 0% 0%Cabañas .% 0% 0%Chalatenango 0% 0% 0%Cuscatlan 1% 0% 0%La Libertad 8% 0% 0%La Paz 3% 0% 0%La Unión 0% 0% 0%Morazan 0% 0% 0%San Miguel 0% 0% 0%San Salvador 82% 0% 0%San Vicente .% 0% 0%Santa Ana 0% 0% 0%Sonsonate 1% 0% 0%Usulutan 0% 0% 0%Otro 1% 0% 0%No sé / Prefiero no contester 3% 0% 0%

Cell Contents: - Column Percentage

;Table q185URU - ¿En qué parte de Uruguay vive usted?

Page 110: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 300 0% 0%Artigas .% 0% 0%Canelones 10% 0% 0%Cerro Largo 1% 0% 0%Colonia .% 0% 0%Durazno .% 0% 0%Flores 0% 0% 0%Florida 1% 0% 0%Lavalleja .% 0% 0%Maldonado 0% 0% 0%Montevideo 84% 0% 0%Paysandú 1% 0% 0%Río Negro 0% 0% 0%Rivera 0% 0% 0%Rocha 1% 0% 0%Salto 1% 0% 0%San José .% 0% 0%Soriano 1% 0% 0%Tacuarembó 0% 0% 0%Treinta-y-Tres 0% 0% 0%Otro 0% 0% 0%No sé / Prefiero no contestar .% 0% 0%

Cell Contents: - Column Percentage

;Table qURUS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

REGIONBase US W. Europe

Base 300 0% 0%0- 236,976 pesos 22% 0% 0%236,977 – 338,280 pesos 12% 0% 0%338,281 – 507,420 pesos 8% 0% 0%507,421 – 1,691,400 pesos 6% 0% 0%1,691,401 – 2,537,100 pesos 3% 0% 0%2,537,101 – 3,890,220 pesos 2% 0% 0%3,890,221+ pesos 1% 0% 0%No sé / Prefiero no contestar 46% 0% 0%

Page 111: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table QURUS2 - ¿Cuál es el mayor nivel de educación académica que alcanzó?

REGIONBase US W. Europe

Base 300 0% 0%Pre-primaria .% 0% 0%Primaria 4% 0% 0%Secundaria 42% 0% 0%Ed, Técnica 10% 0% 0%Universidad 31% 0% 0%Terciarios 12% 0% 0%No sé / Prefiero no contestar .% 0% 0%

Cell Contents: - Column Percentage

;

;Table QML_ALL - All Millennial Leaders

REGIONBase US W. Europe

Base 6702 1000 1501Millennial Leaders 18% 22% 11%Non-Millennial Leaders 82% 78% 89%

Cell Contents: - Column Percentage

;Table QKidsorNoKids - Are you a parent or guardian of any children in any of the following age categories? Please select all that apply.

REGIONBase US W. Europe

Page 112: 2014 Millennial Survey Regions and Countries Dataset

Base 6702 1000 1501Children 26% 25% 20%No Children 71% 73% 79%Prefer not to say 3% 2% 2%

Cell Contents: - Column Percentage

;Table Argentina_Income - Argentina Income

REGIONBase US W. Europe

Base 500 0% 0%Lower 31% 0% 0%Middle 33% 0% 0%High 10% 0% 0%Don't Know 25% 0% 0%

Cell Contents: - Column Percentage

;Table Argentina_Education - Argentina Education

REGIONBase US W. Europe

Base 500 0% 0%Primary 1% 0% 0%Secondary 64% 0% 0%Collegiate 34% 0% 0%Don't Know .% 0% 0%

Cell Contents: - Column Percentage

;Table Brazil_Income - Brazil Income

Page 113: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 500 0% 0%Lower 31% 0% 0%Middle 47% 0% 0%High 12% 0% 0%Don't Know 10% 0% 0%

Cell Contents: - Column Percentage

;Table Brazil_Education - Brazil Education

REGIONBase US W. Europe

Base 500 0% 0%Primary 26% 0% 0%Secondary 41% 0% 0%Collegiate 31% 0% 0%Don't Know 2% 0% 0%

Cell Contents: - Column Percentage

;Table Chile_Income - Chile Income

REGIONBase US W. Europe

Base 500 0% 0%Lower 37% 0% 0%Middle 30% 0% 0%High 9% 0% 0%Don't Know 24% 0% 0%

Cell Contents: - Column Percentage

;Table Chile_Education - Chile Education

Page 114: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 500 0% 0%Primary 1% 0% 0%Secondary 35% 0% 0%Collegiate 60% 0% 0%Don't Know 5% 0% 0%

Cell Contents: - Column Percentage

;Table Colombia_Income - Colombia Income

REGIONBase US W. Europe

Base 300 0% 0%Lower 14% 0% 0%Middle 64% 0% 0%High 13% 0% 0%Don't Know 8% 0% 0%

Cell Contents: - Column Percentage

;Table Colombia_Education - Colombia Education

REGIONBase US W. Europe

Base 300 0% 0%Primary .% 0% 0%Secondary 32% 0% 0%Collegiate 67% 0% 0%Don't Know 1% 0% 0%

Cell Contents: - Column Percentage

Page 115: 2014 Millennial Survey Regions and Countries Dataset

;Table Germany_Income - Germany Income

REGIONBase US W. Europe

Base 500 0% 500Lower 36% 0% 36%Middle 50% 0% 50%High 1% 0% 1%Don't Know 13% 0% 13%

Cell Contents: - Column Percentage

;Table Germany_Education - Germany Education

REGIONBase US W. Europe

Base 500 0% 500Primary 0% 0% 0%Secondary 76% 0% 76%Collegiate 24% 0% 24%Don't Know .% 0% .%

Cell Contents: - Column Percentage

;Table Mexico_Income - Mexico Income

REGIONBase US W. Europe

Base 501 0% 0%Lower 17% 0% 0%Middle 55% 0% 0%High 17% 0% 0%Don't Know 11% 0% 0%

Page 116: 2014 Millennial Survey Regions and Countries Dataset

Cell Contents: - Column Percentage

;Table Mexico_Education - Mexico Education

REGIONBase US W. Europe

Base 501 0% 0%Primary 1% 0% 0%Secondary 33% 0% 0%Collegiate 65% 0% 0%Don't Know 1% 0% 0%

Cell Contents: - Column Percentage

;Table Peru_Income - Peru Income

REGIONBase US W. Europe

Base 300 0% 0%Lower 37% 0% 0%Middle 30% 0% 0%High 8% 0% 0%Don't Know 25% 0% 0%

Cell Contents: - Column Percentage

;Table Peru_Education - Peru Education

REGIONBase US W. Europe

Base 300 0% 0%Primary 0% 0% 0%

Page 117: 2014 Millennial Survey Regions and Countries Dataset

Secondary 39% 0% 0%Collegiate 61% 0% 0%Don't Know 0% 0% 0%

Cell Contents: - Column Percentage

;Table Spain_Income - Spain Income

REGIONBase US W. Europe

Base 500 0% 500Lower 40% 0% 40%Middle 39% 0% 39%High 5% 0% 5%Don't Know 16% 0% 16%

Cell Contents: - Column Percentage

;Table Spain_Education - Spain Education

REGIONBase US W. Europe

Base 500 0% 500Primary 6% 0% 6%Secondary 54% 0% 54%Collegiate 39% 0% 39%Don't Know .% 0% .%

Cell Contents: - Column Percentage

;Table UK_Income - UK Income

REGIONBase US W. Europe

Page 118: 2014 Millennial Survey Regions and Countries Dataset

Base 501 0% 501Lower 34% 0% 34%Middle 50% 0% 50%High 8% 0% 8%Don't Know 8% 0% 8%

Cell Contents: - Column Percentage

;Table UK_Education - UK Education

REGIONBase US W. Europe

Base 501 0% 501Primary .% 0% .%Secondary 56% 0% 56%Collegiate 42% 0% 42%Don't Know 2% 0% 2%

Cell Contents: - Column Percentage

;Table Venezuela_Income - Venezuela Income

REGIONBase US W. Europe

Base 250 0% 0%Lower 30% 0% 0%Middle 34% 0% 0%High 4% 0% 0%Don't Know 32% 0% 0%

Cell Contents: - Column Percentage

;Table Venezuela_Education - Venezuela Education

Page 119: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 250 0% 0%Primary 3% 0% 0%Secondary 33% 0% 0%Collegiate 63% 0% 0%Don't Know 1% 0% 0%

Cell Contents: - Column Percentage

;Table CostaRica_Income - Costa Rica Income

REGIONBase US W. Europe

Base 150 0% 0%Lower 4% 0% 0%Middle 17% 0% 0%High 72% 0% 0%Don't Know 7% 0% 0%

Cell Contents: - Column Percentage

;Table CostaRica_Education - Costa Rica Education

REGIONBase US W. Europe

Base 150 0% 0%Primary 16% 0% 0%Secondary 77% 0% 0%Collegiate 7% 0% 0%Don't Know 0% 0% 0%

Cell Contents: - Column Percentage

;

Page 120: 2014 Millennial Survey Regions and Countries Dataset

Table Ecuador_Income - Ecuador Income

REGIONBase US W. Europe

Base 300 0% 0%Lower 38% 0% 0%Middle 17% 0% 0%High 3% 0% 0%Don't Know 42% 0% 0%

Cell Contents: - Column Percentage

;Table Ecuador_Education - Ecuador Education

REGIONBase US W. Europe

Base 300 0% 0%Primary 4% 0% 0%Secondary 61% 0% 0%Collegiate 32% 0% 0%Don't Know 4% 0% 0%

Cell Contents: - Column Percentage

;Table Guatemala_Income - Guatemala Income

REGIONBase US W. Europe

Base 149 0% 0%Lower 49% 0% 0%Middle 8% 0% 0%High 1% 0% 0%Don't Know 41% 0% 0%

Cell Contents: - Column Percentage

Page 121: 2014 Millennial Survey Regions and Countries Dataset

;Table Guatemala_Education - Guatemala Education

REGIONBase US W. Europe

Base 150 0% 0%Primary 12% 0% 0%Secondary 74% 0% 0%Collegiate 11% 0% 0%Don't Know 2% 0% 0%

Cell Contents: - Column Percentage

;Table Nicaragua_Income - Nicaragua Income

REGIONBase US W. Europe

Base 150 0% 0%Lower 77% 0% 0%Middle 9% 0% 0%High 0% 0% 0%Don't Know 15% 0% 0%

Cell Contents: - Column Percentage

;Table Nicaragua_Education - Nicaragua Education

REGIONBase US W. Europe

Base 150 0% 0%Primary 7% 0% 0%Secondary 74% 0% 0%Collegiate 17% 0% 0%

Page 122: 2014 Millennial Survey Regions and Countries Dataset

Don't Know 2% 0% 0%

Cell Contents: - Column Percentage

;Table Panama_Income - Panama Income

REGIONBase US W. Europe

Base 150 0% 0%Lower 57% 0% 0%Middle 24% 0% 0%High 7% 0% 0%Don't Know 13% 0% 0%

Cell Contents: - Column Percentage

;Table Panama_Education - Panama Education

REGIONBase US W. Europe

Base 150 0% 0%Primary 2% 0% 0%Secondary 87% 0% 0%Collegiate 10% 0% 0%Don't Know/Other 1% 0% 0%

Cell Contents: - Column Percentage

;Table ElSalvador_Income - El Salvador Income

REGIONBase US W. Europe

Base 150 0% 0%

Page 123: 2014 Millennial Survey Regions and Countries Dataset

Lower 53% 0% 0%Middle 18% 0% 0%High 2% 0% 0%Don't Know 26% 0% 0%

Cell Contents: - Column Percentage

;Table ElSalvador_Education - El Salvador Education

REGIONBase US W. Europe

Base 150 0% 0%Primary 2% 0% 0%Secondary 78% 0% 0%Collegiate 19% 0% 0%Don't Know 1% 0% 0%

Cell Contents: - Column Percentage

;Table Uruguay_Income - Uruguay Income

REGIONBase US W. Europe

Base 300 0% 0%Lower 34% 0% 0%Middle 17% 0% 0%High 3% 0% 0%Don't Know 46% 0% 0%

Cell Contents: - Column Percentage

;Table Uruguay_Education - Uruguay Education

REGION

Page 124: 2014 Millennial Survey Regions and Countries Dataset

Base US W. Europe

Base 300 0% 0%Primary 4% 0% 0%Secondary 42% 0% 0%Collegiate 54% 0% 0%Don't Know .% 0% 0%

Cell Contents: - Column Percentage

;Table UnitedStates_Income - United States Income

REGIONBase US W. Europe

Base 1000 1000 0%Lower 36% 36% 0%Middle 53% 53% 0%High 2% 2% 0%Don't Know 9% 9% 0%

Cell Contents: - Column Percentage

;Table UnitedStates_Education - United States Education

REGIONBase US W. Europe

Base 1000 1000 0%Primary .% .% 0%Secondary 62% 62% 0%Collegiate 38% 38% 0%Don't Know 0% 0% 0%

Cell Contents: - Column Percentage

;Table Western_Europe_Income - Western Europe Income

Page 125: 2014 Millennial Survey Regions and Countries Dataset

REGIONBase US W. Europe

Base 1501 0% 1501Lower 36% 0% 36%Middle 47% 0% 47%High 4% 0% 4%Don't Know 12% 0% 12%

Cell Contents: - Column Percentage

;Table Western_Europe_Education - Western_Europe Education

REGIONBase US W. Europe

Base 1501 0% 1501Primary 2% 0% 2%Secondary 64% 0% 64%Collegiate 34% 0% 34%Don't Know 1% 0% 1%

Cell Contents: - Column Percentage

;Table Latin_America_Income - Latin_America Income

REGIONBase US W. Europe

Base 4200 0% 0%Lower 30% 0% 0%Middle 41% 0% 0%High 12% 0% 0%Don't Know 16% 0% 0%

Cell Contents: - Column Percentage

Page 126: 2014 Millennial Survey Regions and Countries Dataset

;Table Latin_America_Education - Latin_America Education

REGIONBase US W. Europe

Base 4201 0% 0%Primary 11% 0% 0%Secondary 45% 0% 0%Collegiate 42% 0% 0%Don't Know 1% 0% 0%

Cell Contents: - Column Percentage

;Table Global_Income - Global Income

REGIONBase US W. Europe

Base 6701 1000 1501Lower 33% 36% 36%Middle 47% 53% 47%High 7% 2% 4%Don't Know 13% 9% 12%

Cell Contents: - Column Percentage

;Table Global_Education - Global Education

REGIONBase US W. Europe

Base 6702 1000 1501Primary 5% .% 2%Secondary 55% 62% 64%Collegiate 39% 38% 34%Don't Know 1% 0% 1%

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Cell Contents: - Column Percentage

;

;

Page 128: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5009% 14% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

36% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%4% 6% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%8% 13% 0% 0% 0% 0% 0%2% 4% 20% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%2% 4% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%2% 4% 20% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 100% 0%2% 4% 20% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

18% 27% 0% 0% 0% 0% 0%2% 4% 20% 0% 0% 0% 0%2% 4% 20% 0% 0% 0% 0%4% 6% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 100%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 100% 0% 0%2% 4% 0% 0% 0% 0% 0%0% 0% 0% 100% 0% 0% 0%5% 8% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

Page 129: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5007% 7% 10% 9% 9% 8% 6%8% 8% 8% 6% 7% 6% 4%8% 8% 7% 8% 8% 6% 10%8% 8% 6% 8% 7% 11% 11%7% 6% 5% 7% 7% 7% 6%6% 7% 5% 9% 7% 6% 7%8% 6% 4% 9% 8% 9% 9%

11% 11% 16% 7% 8% 6% 7%7% 7% 8% 7% 9% 9% 8%8% 7% 10% 8% 7% 9% 8%8% 9% 8% 9% 7% 9% 6%8% 7% 6% 7% 8% 5% 9%7% 8% 7% 7% 10% 8% 8%

24.06 24.07 24.05 23.95 24.07 24.05 24.153.72 3.74 3.77 3.73 3.85 3.67 3.64

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50051% 51% 46% 55% 52% 53% 54%49% 49% 54% 45% 48% 47% 46%0% 0% 0% 0% 0% 0% 0%

Page 130: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50050% 50% 50% 50% 50% 50% 50%50% 50% 50% 50% 50% 50% 50%

Table q4 - Do you or any members of your family work in any of the following industries? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5000% 0% 0% 0% 0% 0% 0%6% 7% 4% 2% .% 1% 6%

11% 9% 4% 3% 3% 7% 5%13% 17% 5% 4% 4% 8% 5%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%6% 7% 4% 4% 4% 5% 3%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%4% 5% 2% 2% 3% 3% 2%5% 7% 4% 2% 3% 7% 4%3% 3% 1% 1% 4% 5% 2%0% 0% 0% 0% 0% 0% 0%

15% 16% 8% 8% 12% 11% 5%57% 54% 75% 78% 75% 63% 75%0% 0% 0% 0% 0% 0% 0%

Page 131: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50047% 50% 70% 34% 16% 24% 31%43% 41% 23% 52% 63% 62% 50%9% 8% 5% 11% 16% 13% 15%1% 1% 1% 3% 4% 1% 4%

Table q6 - Of the following, which three have been the most influential in shaping your outlook on life to date?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50079% 80% 80% 75% 76% 79% 75%42% 45% 43% 54% 58% 63% 66%7% 7% 6% 7% 9% 6% 10%

59% 55% 48% 47% 49% 67% 53%8% 11% 9% 15% 22% 19% 11%

31% 28% 19% 35% 33% 22% 24%24% 28% 27% 24% 19% 8% 26%30% 24% 40% 25% 13% 7% 5%15% 18% 22% 11% 15% 21% 22%5% 5% 6% 6% 8% 7% 8%

COUNTRIESLatAM Hispam Central America US UK DE SP

4200 3700 750 1000 501 500 50062% 62% 70% 43% 23% 22% 19%34% 34% 26% 46% 59% 59% 56%4% 4% 3% 9% 14% 16% 20%1% 1% 1% 2% 3% 2% 5%

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Table q8 - Looking ahead to 10 years from now, which of the following accomplishments is most important to you personally (by the year 2024)?

COUNTRIESLatAM Hispam Central America US UK DE SP

4200 3700 750 1000 501 500 5005% 4% 4% 14% 12% 12% 6%6% 5% 5% 11% 15% 16% 12%

39% 36% 38% 46% 40% 49% 55%19% 20% 20% 13% 18% 13% 13%26% 29% 26% 8% 7% 5% 7%5% 5% 6% 5% 5% 4% 6%1% 1% 1% 3% 4% 2% 2%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50054% 56% 50% 45% 34% 48% 52%46% 44% 50% 55% 66% 52% 48%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 1000 0% 0% 0%

Page 133: 2014 Millennial Survey Regions and Countries Dataset

0% 0% 0% .% 0% 0% 0%0% 0% 0% 4% 0% 0% 0%0% 0% 0% 21% 0% 0% 0%0% 0% 0% 37% 0% 0% 0%0% 0% 0% 28% 0% 0% 0%0% 0% 0% 8% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

Table q10 - Which type of school did you attend for your highest level of formal education?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50064% 61% 65% 78% 90% 88% 85%36% 39% 35% 22% 10% 12% 15%

Table q11 - Which field of study do you believe is most important for ensuring your personal future success?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5008% 11% 10% 3% 4% 9% 9%

14% 17% 22% 3% 5% 9% 24%1% 1% 1% 2% 3% 1% 2%1% 2% 2% 3% 5% 1% 2%4% 4% 6% 5% 9% 2% 2%3% 3% 2% 5% 5% 4% 5%

10% 9% 10% 14% 13% 11% 4%14% 12% 7% 16% 14% 13% 17%18% 20% 16% 8% 6% 10% 11%9% 8% 7% 17% 8% 10% 11%1% 1% 1% 1% 1% 1% .%2% 2% 2% 2% 6% 4% 4%

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5% 5% 5% 6% 6% 7% 3%9% 8% 7% 15% 14% 17% 6%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50011% 12% 17% 8% 6% 8% 8%18% 20% 18% 6% 7% 14% 21%2% 2% 3% 4% 3% 2% 2%3% 3% 2% 5% 8% 3% 3%6% 5% 7% 8% 15% 9% 6%4% 3% 2% 7% 4% 3% 4%

13% 11% 13% 14% 12% 10% 8%11% 12% 10% 10% 10% 12% 14%10% 10% 8% 6% 3% 6% 8%8% 7% 7% 8% 7% 7% 7%1% 1% 2% 2% 2% 4% 2%2% 3% 3% 4% 5% 7% 6%9% 7% 8% 10% 13% 11% 7%4% 3% 3% 6% 4% 4% 5%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5002% 2% 1% 2% 3% 2% 1%2% 2% 2% 10% 13% 3% 1%

18% 20% 17% 18% 18% 15% 22%17% 18% 14% 17% 14% 28% 27%4% 4% 5% 7% 5% 7% 6%8% 8% 7% 6% 7% 6% 5%

Page 135: 2014 Millennial Survey Regions and Countries Dataset

2% 2% 4% 2% 3% 3% 4%2% 2% 2% 1% 4% 2% 1%2% 2% 2% 4% 5% 5% 3%4% 3% 1% 3% 3% 4% 2%9% 8% 11% 10% 6% 6% 6%

16% 14% 11% 12% 9% 9% 8%2% 3% 3% 3% 4% 2% 3%

10% 12% 19% 6% 5% 8% 10%

Table q14 - When it comes to the educational system in your country, how strongly do you agree or disagree with the following statement? I have had access to all the educational opportunities I have desired.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50025% 27% 32% 33% 26% 33% 29%42% 43% 44% 45% 52% 44% 42%22% 22% 17% 16% 15% 16% 20%11% 8% 7% 5% 6% 7% 9%

Table q15 - When it comes to the educational system in your country, how strongly do you agree or disagree with the following statement? My education has prepared me for my professional future in today’s technology driven workplace.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50022% 24% 33% 31% 17% 17% 11%44% 48% 46% 43% 45% 51% 45%21% 21% 16% 19% 29% 25% 29%13% 8% 5% 7% 8% 7% 15%

Page 136: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50010% 11% 17% 15% 14% 11% 6%32% 40% 49% 44% 54% 53% 25%37% 37% 25% 29% 24% 28% 43%20% 12% 7% 10% 6% 8% 26%.% .% 1% 2% 3% 1% .%

Table q17 - When it comes to the educational system in your country, which elements need improvement? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50064% 71% 56% 52% 48% 64% 72%69% 68% 57% 53% 44% 55% 59%37% 28% 17% 66% 42% 35% 50%61% 55% 49% 32% 31% 40% 46%47% 35% 31% 44% 38% 43% 56%7% 7% 5% 5% 5% 7% 6%

Table q18 - How much do you agree or disagree with the following statement? I have opportunities in my country to become an entrepreneur or develop and bring an idea to the market

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50020% 19% 31% 35% 17% 23% 9%47% 46% 42% 49% 54% 57% 24%25% 26% 19% 13% 22% 16% 37%9% 9% 8% 3% 6% 4% 31%

Page 137: 2014 Millennial Survey Regions and Countries Dataset

Table q19 - Please think a little more about where you personally would want to work. If you were to apply to work for a company, please pick the three things that would be the most important elements that the company needs to demonstrate.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50027% 23% 19% 41% 33% 32% 21%22% 20% 23% 18% 24% 22% 18%32% 34% 27% 49% 49% 41% 55%11% 8% 11% 13% 13% 15% 8%24% 26% 29% 13% 17% 13% 16%12% 12% 14% 23% 20% 22% 20%9% 9% 13% 6% 4% 6% 10%

15% 15% 18% 14% 12% 9% 13%9% 8% 10% 7% 9% 9% 6%

39% 42% 33% 20% 31% 26% 34%9% 10% 12% 9% 10% 8% 11%8% 10% 13% 7% 7% 5% 10%

19% 11% 15% 22% 24% 47% 16%33% 39% 30% 21% 21% 32% 39%14% 15% 16% 8% 10% 5% 9%17% 17% 16% 29% 16% 6% 16%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5009% 7% 4% 10% 9% 8% 17%5% 5% 5% 5% 4% 5% 11%2% 3% 3% 3% 2% 1% 3%

14% 8% 6% 6% 8% 11% 11%9% 8% 4% 11% 14% 16% 13%8% 5% 7% 10% 7% 10% 13%

Page 138: 2014 Millennial Survey Regions and Countries Dataset

4% 4% 3% 4% 3% 7% 12%19% 19% 14% 13% 7% 12% 17%11% 10% 10% 10% 11% 12% 11%7% 7% 8% 7% 5% 11% 5%9% 7% 7% 22% 13% 14% 14%4% 5% 3% 5% 3% 8% 7%4% 5% 3% 11% 12% 11% 13%6% 5% 3% 7% 8% 11% 10%8% 6% 6% 9% 18% 12% 7%

25% 19% 15% 25% 22% 16% 33%8% 7% 4% 6% 4% 8% 15%8% 9% 16% 6% 5% 4% 16%7% 6% 5% 13% 12% 7% 20%

30% 29% 22% 23% 22% 10% 21%7% 6% 5% 16% 17% 13% 12%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50049% 51% 52% 28% 26% 16% 32%32% 32% 29% 38% 40% 35% 41%14% 13% 13% 22% 23% 33% 23%5% 4% 6% 12% 12% 16% 5%

Table q22 - Which regions are you personally most interested in to seek employment opportunities abroad?

COUNTRIESLatAM Hispam Central America US UK DE SP

3387 3005 609 689 329 254 3593% 2% 2% 8% 9% 3% 5%

12% 12% 6% 32% 21% 23% 16%23% 21% 17% 34% 20% 8% 22%

Page 139: 2014 Millennial Survey Regions and Countries Dataset

29% 31% 32% 15% 8% 9% 18%5% 4% 4% 10% 11% 6% 8%

57% 52% 41% 46% 50% 49% 48%47% 42% 23% 49% 43% 48% 78%18% 13% 5% 31% 38% 28% 22%

COUNTRIESLatAM Hispam Central America US UK DE SP

3387 3005 609 689 329 254 35936% 35% 29% 28% 30% 20% 44%50% 48% 40% 32% 33% 30% 38%42% 37% 16% 63% 58% 58% 47%17% 16% 12% 23% 30% 24% 35%14% 11% 10% 20% 24% 19% 34%47% 40% 20% 64% 51% 60% 49%23% 16% 12% 28% 28% 24% 29%

Table q24 - Are you concerned about your country experiencing a "brain drain" - i.e. having the best and brightest citizens leave to pursue opportunities abroad?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50031% 32% 31% 14% 10% 9% 47%42% 40% 40% 38% 38% 37% 38%20% 20% 19% 35% 41% 43% 10%8% 8% 10% 13% 12% 11% 5%

Page 140: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50014% 15% 24% 21% 20% 21% 7%78% 76% 63% 61% 62% 65% 89%8% 9% 13% 17% 18% 14% 5%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50024% 22% 31% 41% 35% 39% 8%63% 63% 50% 41% 41% 37% 82%13% 15% 18% 18% 24% 23% 10%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50072% 70% 72% 51% 44% 58% 44%28% 30% 28% 49% 56% 42% 56%

Page 141: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50010% 10% 8% 7% 5% 8% 3%1% 1% 1% 1% 1% 1% .%3% 2% 3% 5% 5% 2% 1%1% 1% 2% 1% 1% 2% 1%3% 3% 1% 4% 5% 3% 3%7% 8% 16% 5% 5% 7% 6%.% .% 1% 2% 2% 1% 0%.% .% 1% 2% 2% 1% .%8% 6% 5% 6% 10% 28% 7%7% 10% 9% 26% 19% 5% 8%1% 1% 3% 2% 1% 6% .%

32% 24% 13% 11% 3% 3% 35%14% 18% 18% 5% 3% 3% 1%2% 1% 2% 1% 1% .% 1%7% 9% 15% 12% 23% 11% 32%2% 1% 1% 1% 3% 2% 1%2% 2% 2% 7% 5% 12% 1%1% 1% 1% 3% 5% 4% 1%9% 7% 7% 9% 13% 30% 7%

Table q29 - Do you think that the economy in your country is headed in the right direction or wrong direction?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50022% 22% 22% 29% 37% 43% 10%69% 69% 66% 54% 43% 39% 83%9% 9% 12% 17% 20% 17% 7%

Table q30 - What characteristics make your country poised for growth? Please select all that apply.

Page 142: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50016% 14% 16% 20% 17% 26% 12%22% 21% 13% 21% 14% 24% 15%27% 29% 31% 28% 26% 31% 20%22% 22% 27% 24% 23% 23% 17%24% 25% 21% 17% 23% 40% 17%25% 25% 30% 24% 18% 28% 11%19% 18% 18% 18% 13% 19% 11%18% 18% 25% 21% 15% 15% 17%27% 28% 33% 32% 26% 25% 21%36% 34% 22% 20% 10% 9% 14%22% 22% 17% 19% 15% 14% 20%21% 20% 25% 15% 14% 19% 11%14% 12% 12% 16% 18% 47% 11%15% 12% 14% 22% 12% 18% 9%16% 13% 12% 19% 15% 20% 17%4% 4% 6% 4% 4% 4% 2%

15% 13% 4% 15% 19% 10% 31%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50017% 16% 9% 24% 17% 19% 14%15% 14% 9% 8% 7% 11% 25%51% 49% 30% 38% 23% 33% 43%19% 16% 15% 23% 16% 16% 19%8% 9% 6% 12% 11% 4% 6%

15% 16% 15% 19% 16% 16% 15%42% 38% 22% 38% 35% 26% 54%28% 27% 13% 33% 25% 31% 28%41% 33% 18% 36% 28% 18% 22%30% 35% 16% 26% 26% 22% 45%6% 5% 9% 14% 11% 18% 8%7% 5% 8% 10% 9% 9% 5%

Page 143: 2014 Millennial Survey Regions and Countries Dataset

37% 39% 19% 15% 10% 19% 16%24% 19% 11% 21% 12% 7% 21%50% 45% 33% 36% 25% 21% 58%15% 14% 10% 20% 21% 21% 17%75% 71% 54% 47% 25% 19% 78%3% 3% 5% 4% 4% 5% 4%.% .% 1% 3% 6% 7% .%

Table q32 - Do you think that the gap between the rich and the poor in your country is...?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50064% 67% 61% 77% 72% 86% 90%27% 23% 26% 13% 14% 6% 5%9% 10% 14% 10% 14% 8% 4%

Table q33 - In your opinion, what aspects of your country’s infrastructure should your government focus on improving? Please select the top TWO you believe are most important.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50015% 15% 24% 8% 11% 9% 5%35% 22% 18% 31% 41% 18% 40%4% 6% 9% 6% 7% 6% 4%4% 6% 8% 6% 5% 9% 5%

12% 15% 12% 20% 12% 13% 9%9% 10% 14% 10% 7% 11% 3%

12% 13% 13% 5% 9% 6% 5%5% 5% 7% 9% 4% 5% 3%

67% 65% 51% 57% 41% 56% 64%4% 4% 6% 3% 3% 3% 2%4% 4% 4% 6% 7% 11% 2%

26% 31% 29% 28% 39% 43% 47%

Page 144: 2014 Millennial Survey Regions and Countries Dataset

3% 3% 4% 4% 3% 2% 4%1% 1% 1% 4% 5% 4% 4%

Table q34 - How strongly do you agree that your country will be a strong growth driver for your region’s economy in the next 5 - 10 years?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50017% 17% 26% 20% 10% 13% 6%53% 52% 53% 54% 59% 60% 33%21% 23% 15% 22% 25% 23% 42%8% 8% 6% 4% 6% 5% 20%

Table q35 - In your opinion, which of the following region(s) will be the biggest growth driver(s) for the global economy in the next 10 years? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50040% 38% 39% 44% 26% 21% 29%36% 35% 36% 9% 9% 9% 13%25% 22% 20% 26% 25% 31% 26%19% 17% 22% 21% 13% 13% 11%33% 32% 16% 38% 28% 36% 44%17% 13% 9% 27% 21% 36% 13%21% 20% 16% 22% 27% 23% 22%3% 3% 5% 5% 7% 5% 2%

Table q36 - In your opinion, which country or countries in this region (Latin America) will be the biggest driver(s) of growth for the world economy in the next 10 years?

Page 145: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

1554 1363 267 132 44 45 6734% 30% 17% 23% 16% 28% 33%6% 3% 2% 10% 2% 6% 3%

64% 51% 21% 42% 74% 68% 46%32% 31% 9% 23% 9% 17% 36%24% 30% 22% 23% 16% 18% 11%9% 8% 16% 15% 7% 11% 8%5% 4% 5% 12% 5% 6% 3%3% 3% 3% 17% 2% 2% 6%9% 10% 4% 12% 7% 3% 16%1% 1% 3% 9% 2% 3% 2%2% 3% 7% 8% 2% 0% 0%1% 1% 1% 9% 0% 0% 1%3% 2% 2% 8% 0% 0% 1%

36% 33% 23% 35% 22% 22% 27%4% 4% 15% 13% 0% 0% 0%

13% 18% 34% 19% 0% 3% 7%7% 4% 1% 10% 7% 4% 3%

12% 13% 2% 12% 5% 5% 15%6% 6% 7% 17% 2% 0% 6%

16% 11% 3% 12% 7% 5% 13%15% 17% 18% 13% 4% 10% 12%7% 10% 13% 24% 12% 11% 6%

Table q37 - Which of the following are the most important environmental and social issues facing the world today? Please pick the top 3 most important issues.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50021% 25% 35% 38% 25% 12% 22%16% 11% 16% 27% 21% 13% 17%10% 11% 7% 18% 23% 33% 16%24% 25% 16% 23% 27% 35% 28%6% 6% 8% 7% 9% 12% 6%6% 4% 6% 14% 12% 9% 4%

26% 21% 19% 17% 17% 31% 30%6% 6% 12% 12% 13% 8% 6%

Page 146: 2014 Millennial Survey Regions and Countries Dataset

9% 8% 8% 10% 11% 11% 11%30% 32% 19% 20% 25% 30% 21%29% 28% 33% 28% 18% 20% 20%51% 55% 61% 35% 39% 40% 53%17% 18% 13% 24% 37% 29% 19%48% 49% 47% 27% 23% 18% 47%

Table q38 - Some people say that It is easier to raise money for humanitarian crises caused by natural disaster rather than crises caused by war. Some people find this idea acceptable. Others disagree. Do you think this idea is:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50056% 58% 53% 45% 35% 34% 42%32% 31% 36% 34% 37% 40% 35%12% 11% 11% 21% 28% 25% 23%

Table q39 - What role, if any, do you believe technology companies should play in order to most effectively help people facing humanitarian crises in conflict zones?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50033% 34% 35% 42% 37% 35% 33%33% 37% 28% 32% 29% 27% 40%30% 25% 30% 16% 21% 29% 21%4% 4% 7% 9% 13% 9% 7%

Page 147: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5007% 6% 8% 12% 12% 7% 13%

34% 33% 21% 43% 50% 48% 49%37% 37% 31% 28% 26% 34% 27%16% 16% 21% 14% 9% 10% 8%7% 7% 18% 3% 3% 2% 3%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50015% 14% 16% 31% 25% 21% 18%33% 38% 31% 25% 22% 27% 40%31% 26% 24% 26% 32% 34% 23%13% 12% 8% 9% 9% 12% 11%9% 10% 22% 10% 12% 7% 8%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50072% 72% 67% 67% 56% 47% 46%21% 20% 21% 24% 31% 46% 41%8% 8% 12% 8% 13% 7% 13%

Page 148: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50048% 47% 50% 39% 27% 24% 25%38% 39% 31% 47% 59% 66% 60%13% 14% 20% 14% 15% 9% 15%

Table q44 - Which of the following are you personally most passionate about supporting or helping to improve? Please select only one.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5005% 7% 8% 12% 6% 4% 5%7% 6% 6% 7% 10% 4% 7%1% 1% 1% 1% 1% 2% 2%2% 2% 3% 3% 4% 4% 3%2% 2% 2% 2% 2% 3% 3%3% 2% 3% 4% 3% 2% 1%7% 5% 5% 8% 10% 13% 8%2% 2% 3% 5% 6% 3% 4%2% 2% 3% 4% 2% 3% 1%

12% 13% 8% 7% 11% 14% 9%22% 22% 19% 16% 10% 14% 17%16% 17% 22% 12% 14% 9% 13%1% 1% 1% 2% 4% 3% 2%7% 8% 5% 6% 6% 9% 10%

11% 9% 9% 5% 4% 2% 13%2% 2% 3% 6% 7% 10% 2%

Table q45 - What are the best ways you think other young people like you can help make a difference in your community? Please select all that apply.

Page 149: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4200 3700 750 1000 501 500 50030% 27% 22% 32% 29% 32% 23%15% 13% 15% 36% 29% 21% 12%33% 29% 20% 57% 46% 26% 26%24% 14% 11% 27% 20% 16% 10%44% 42% 29% 50% 36% 33% 34%47% 46% 32% 46% 28% 18% 33%30% 30% 30% 34% 31% 29% 27%32% 24% 15% 40% 34% 52% 28%29% 27% 16% 28% 22% 34% 29%24% 14% 9% 18% 23% 27% 32%5% 3% 3% 14% 16% 16% 9%

50% 47% 27% 36% 35% 39% 49%30% 23% 14% 32% 27% 35% 27%24% 24% 23% 21% 17% 8% 18%4% 5% 6% 4% 3% 7% 5%

Table q45a - Which of the following would you personally consider doing to help make a difference in your community? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50032% 29% 21% 35% 29% 37% 27%14% 14% 15% 31% 32% 19% 12%30% 29% 24% 50% 40% 26% 24%21% 14% 12% 23% 21% 17% 11%39% 39% 29% 41% 31% 27% 31%48% 48% 36% 35% 21% 14% 35%25% 27% 30% 21% 17% 19% 18%28% 23% 14% 34% 29% 49% 28%27% 26% 17% 21% 18% 30% 25%17% 12% 8% 12% 17% 24% 29%5% 2% 3% 13% 17% 17% 5%

40% 40% 24% 27% 28% 33% 40%19% 17% 13% 22% 15% 19% 17%21% 24% 22% 14% 14% 5% 14%4% 5% 7% 7% 7% 8% 6%

Page 150: 2014 Millennial Survey Regions and Countries Dataset

Table g46[..].mA_Columns - Based on your experience, have the following types of companies made a difference in the communities where they operate?

Multi-national / global companies

670247%28%25%

Table g46[{q46}].mA - 'Small, Medium companies' : Based on your experience, have the following types of companies made a difference in the communities where they operate?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50050% 47% 46% 56% 46% 33% 36%29% 33% 32% 20% 23% 30% 40%21% 21% 22% 24% 31% 37% 25%

Table g46[{q47}].mA - Large companies : Based on your experience, have the following types of companies made a difference in the communities where they operate?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50054% 54% 50% 47% 39% 35% 41%27% 27% 31% 28% 29% 27% 32%19% 18% 20% 26% 32% 38% 27%

Page 151: 2014 Millennial Survey Regions and Countries Dataset

Table g46[{q48}].mA - National companies (Headquartered in your country) : Based on your experience, have the following types of companies made a difference in the communities where they operate?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50055% 54% 49% 47% 41% 32% 40%26% 28% 29% 26% 25% 26% 34%19% 19% 22% 27% 33% 42% 27%

Table g46[{q49}].mA - Multi-national / global companies : Based on your experience, have the following types of companies made a difference in the communities where they operate?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50056% 56% 47% 45% 39% 25% 46%25% 25% 30% 28% 31% 35% 30%18% 18% 23% 28% 30% 40% 24%

Table q50 - What are the most important ways that a company can make a difference in the communities where it operates? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50026% 22% 13% 45% 36% 38% 25%31% 28% 19% 37% 27% 36% 28%22% 19% 23% 22% 15% 16% 14%

Page 152: 2014 Millennial Survey Regions and Countries Dataset

34% 38% 28% 48% 47% 35% 42%68% 68% 52% 71% 66% 71% 70%57% 54% 34% 48% 50% 42% 45%53% 49% 39% 46% 39% 44% 35%33% 28% 22% 32% 26% 22% 23%40% 37% 34% 40% 26% 28% 44%4% 4% 4% 4% 2% 7% 4%2% 2% 3% 4% 7% 8% 7%

Table q51 - Which of the following has the ability to deliver the greatest significant impact and change for individuals with disabilities? Please select only one.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50024% 23% 22% 15% 22% 8% 27%4% 4% 6% 3% 9% 5% 3%

13% 13% 15% 13% 5% 20% 11%7% 7% 11% 3% 3% 3% 8%

11% 11% 11% 12% 14% 10% 12%8% 10% 9% 10% 10% 6% 9%4% 4% 5% 15% 10% 10% 5%

25% 23% 14% 18% 15% 23% 16%1% 1% 2% 2% 2% 2% 1%3% 3% 4% 8% 11% 14% 8%

Table q52 - How easy or difficult is it for individuals with disabilities to gain access to tools / resources that can improve their everyday lives?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5005% 5% 11% 9% 6% 4% 3%

11% 10% 13% 27% 22% 18% 15%43% 43% 40% 43% 43% 58% 50%38% 38% 31% 13% 12% 10% 28%

Page 153: 2014 Millennial Survey Regions and Countries Dataset

3% 3% 5% 8% 16% 10% 5%

Table g53[..].mA_Columns - To what degree can technology help individuals with disabilities ...

Obtain educational opportunities they desire

670262%29%4%5%

Table g53[{q53}].mA - Lead full and happy lives : To what degree can technology help individuals with disabilities ...

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50051% 47% 46% 53% 42% 37% 48%36% 39% 35% 35% 42% 46% 37%9% 9% 11% 6% 7% 8% 6%5% 5% 8% 6% 9% 9% 9%

Table g53[{q54}].mA - Lead productive lives : To what degree can technology help individuals with disabilities ...

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 500

Page 154: 2014 Millennial Survey Regions and Countries Dataset

68% 65% 56% 63% 54% 49% 56%25% 27% 28% 29% 32% 39% 29%3% 4% 10% 4% 4% 5% 6%4% 4% 7% 4% 9% 8% 10%

Table g53[{q55}].mA - Succeed in the workplace : To what degree can technology help individuals with disabilities ...

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50064% 63% 60% 60% 50% 54% 50%29% 29% 27% 30% 36% 35% 36%4% 4% 7% 4% 6% 5% 4%3% 3% 6% 5% 8% 7% 9%

Table g53[{q56}].mA - Obtain educational opportunities they desire : To what degree can technology help individuals with disabilities ...

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50069% 68% 62% 63% 53% 42% 53%24% 25% 24% 29% 35% 43% 33%4% 4% 7% 3% 3% 8% 6%4% 3% 6% 5% 9% 8% 9%

Table g57[..].mA_Columns - How strongly do you agree or disagree with the following? Individuals with disabilities...

Page 155: 2014 Millennial Survey Regions and Countries Dataset

Receive equal benefits as individuals without disabilities

670224%30%29%17%

Table g57[{q57}].mA - Have equal employment opportunities as individuals without disabilities : How strongly do you agree or disagree with the following? Individuals with disabilities...

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50019% 21% 33% 27% 22% 8% 10%18% 17% 21% 31% 35% 20% 19%27% 29% 24% 25% 30% 42% 35%36% 33% 22% 17% 13% 29% 35%

Table g57[{q58}].mA - Are given equal career advancement opportunities as individuals without disabilities : How strongly do you agree or disagree with the following? Individuals with disabilities...

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50021% 22% 31% 27% 22% 11% 10%18% 19% 23% 28% 36% 26% 25%31% 32% 26% 30% 32% 43% 39%30% 27% 19% 15% 11% 20% 26%

Table g57[{q59}].mA - Earn equal salaries to individuals without disabilities : How strongly do you agree or disagree with the following? Individuals with disabilities...

Page 156: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50025% 26% 35% 28% 23% 12% 9%23% 23% 25% 32% 41% 27% 26%28% 29% 24% 28% 29% 41% 38%24% 22% 17% 12% 6% 20% 26%

Table g57[{q60}].mA - Receive equal benefits as individuals without disabilities : How strongly do you agree or disagree with the following? Individuals with disabilities...

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50023% 24% 32% 32% 21% 12% 7%23% 22% 26% 33% 38% 38% 26%29% 29% 22% 25% 31% 37% 41%25% 25% 20% 10% 9% 13% 25%

Companies I buy products and services from are inclusive of people with disabilities (e.g. employment, product design for all, involvement with local disability groups)

Page 157: 2014 Millennial Survey Regions and Countries Dataset

Table g61[{q61}].mA - 'The company I work for is inclusive of people with disabilities (e.g. employment, product design for all, involvement with local disability groups)' : How important is each of the following?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50046% 42% 39% 31% 26% 16% 24%28% 28% 29% 40% 37% 40% 30%9% 10% 10% 11% 12% 17% 19%6% 7% 7% 4% 4% 8% 5%

12% 13% 14% 15% 20% 20% 22%

Table g61[{q62}].mA - 'Companies I buy products and services from are inclusive of people with disabilities (e.g. employment, product design for all, involvement with local disability groups)' : How important is each of the following?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50044% 41% 39% 30% 24% 13% 23%31% 30% 29% 36% 38% 38% 34%10% 12% 12% 16% 15% 22% 16%4% 4% 5% 4% 3% 6% 6%

11% 13% 15% 14% 20% 20% 21%

Table q63 - How much do you agree or disagree with the following statement? I am on the cutting edge of technology

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50033% 37% 42% 32% 25% 25% 30%51% 51% 47% 51% 54% 54% 54%

Page 158: 2014 Millennial Survey Regions and Countries Dataset

11% 9% 8% 14% 18% 19% 14%4% 2% 3% 3% 3% 2% 2%

Table g64[..].mA_Columns - What kind of access do you have to each of the following technological devices? Please select all that apply.

SmartphoneFeature phone (e.g. flip phone, texting phone, etc.)Video Game consoleSmart TV that can be connected to Internet by cable or WiFiWearable devices (smart watch, fitness band, etc.)

6702 6702 6702 6702 670278% 45% 56% 32% 22%7% 10% 21% 19% 8%3% 3% 3% 4% 3%2% 2% 3% 3% 2%2% 2% 1% 2% 2%

12% 41% 22% 44% 64%

Table g64[{q64}].mA - Desktop computer : What kind of access do you have to each of the following technological devices? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50054% 50% 34% 54% 44% 53% 59%24% 24% 22% 19% 21% 13% 23%9% 9% 10% 10% 9% 13% 10%5% 5% 8% 8% 6% 5% 6%9% 8% 5% 9% 9% 13% 4%

13% 15% 26% 15% 21% 17% 10%

Table g64[{q65}].mA - Laptop computer : What kind of access do you have to each of the following technological devices? Please select all that apply.

Page 159: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50066% 64% 43% 86% 83% 79% 72%18% 18% 21% 11% 10% 10% 17%5% 5% 7% 4% 3% 5% 5%3% 3% 6% 2% 2% 3% 4%4% 4% 4% 3% 3% 4% 3%

12% 13% 23% 5% 5% 6% 7%

Table g64[{q66}].mA - Tablet : What kind of access do you have to each of the following technological devices? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50035% 32% 26% 56% 48% 35% 37%22% 23% 19% 17% 17% 17% 22%4% 5% 7% 3% 4% 3% 3%2% 3% 5% 1% 1% 3% 4%2% 3% 4% 3% 3% 3% 2%

37% 38% 41% 25% 31% 43% 35%

Table g64[{q67}].mA - Smartphone : What kind of access do you have to each of the following technological devices? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50074% 72% 54% 79% 86% 83% 82%9% 9% 11% 7% 7% 4% 7%3% 3% 6% 2% 3% 4% 4%2% 2% 4% 2% 2% 2% 2%2% 2% 3% 2% 1% 1% 2%

Page 160: 2014 Millennial Survey Regions and Countries Dataset

14% 15% 24% 12% 6% 8% 6%

Table g64[{q68}].mA - 'Feature phone (e.g. flip phone, texting phone, etc.)' : What kind of access do you have to each of the following technological devices? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50060% 60% 62% 37% 30% 25% 31%11% 10% 11% 9% 9% 6% 7%3% 3% 5% 3% 3% 4% 4%2% 2% 4% 2% 2% 2% 3%3% 3% 4% 1% 2% 3% 2%

25% 26% 18% 50% 55% 62% 57%

Table g64[{q69}].mA - Video Game console : What kind of access do you have to each of the following technological devices? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50040% 37% 29% 73% 67% 58% 56%25% 26% 22% 17% 17% 15% 24%3% 2% 5% 3% 2% 3% 3%4% 4% 6% 2% 2% 3% 3%1% 1% 3% 1% .% .% 2%

32% 33% 38% 11% 16% 24% 17%

Table g64[{q70}].mA - Smart TV that can be connected to Internet by cable or WiFi : What kind of access do you have to each of the following technological devices? Please select all that apply.

Page 161: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50033% 32% 26% 31% 32% 35% 32%24% 24% 23% 16% 17% 15% 18%4% 4% 7% 3% 4% 3% 5%3% 3% 5% 2% 3% 3% 3%2% 3% 4% 2% 1% 1% 2%

39% 38% 39% 50% 47% 46% 44%

Table g64[{q71}].mA - 'Wearable devices (smart watch, fitness band, etc.)' : What kind of access do you have to each of the following technological devices? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50028% 29% 32% 19% 15% 11% 27%10% 9% 12% 8% 7% 5% 8%4% 3% 6% 3% 3% 2% 3%3% 3% 5% 1% 2% 2% 4%2% 2% 4% 1% 1% 2% 2%

55% 55% 43% 70% 74% 80% 58%

Table q72 - What barriers prevent you from accessing new personal mobile technology (e.g. data / internet connections via smartphones and tablets)? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50022% 22% 29% 14% 12% 18% 13%33% 30% 28% 17% 21% 21% 21%31% 32% 20% 34% 28% 29% 31%45% 46% 28% 46% 43% 53% 43%10% 11% 13% 13% 9% 8% 6%8% 8% 10% 9% 5% 7% 5%

Page 162: 2014 Millennial Survey Regions and Countries Dataset

13% 11% 17% 16% 13% 24% 11%6% 7% 12% 7% 6% 6% 6%6% 7% 7% 5% 3% 7% 6%

11% 10% 7% 16% 22% 16% 20%

Table g73[..].mA_Columns - When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

Make a telephone call (voice only)Send a text message Find a dateWatch a video posted onlineStream video content through a service such as iTunes, Netflix, Amazon, HBO Go, etc.Make a financial transaction (payment, deposit, money transfer)Read the news

6702 6702 6702 6702 6702 6702 670227% 37% 7% 24% 11% 8% 22%26% 23% 9% 24% 12% 11% 27%19% 15% 9% 19% 14% 13% 16%12% 10% 12% 13% 14% 19% 12%4% 5% 7% 6% 8% 11% 6%4% 5% 13% 5% 9% 8% 6%7% 6% 44% 10% 32% 30% 11%

Table g73[{q73}].mA - Look for a new job or career opportunities : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50014% 14% 14% 8% 3% 2% 9%11% 11% 9% 13% 11% 5% 11%11% 11% 11% 8% 14% 11% 14%13% 13% 11% 15% 16% 16% 15%11% 10% 11% 12% 12% 15% 10%18% 17% 15% 19% 24% 22% 17%23% 24% 28% 25% 22% 31% 23%

Page 163: 2014 Millennial Survey Regions and Countries Dataset

Table g73[{q74}].mA - Access a social network : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50052% 54% 42% 42% 37% 30% 36%18% 17% 14% 25% 26% 27% 25%10% 11% 15% 9% 13% 12% 15%6% 5% 9% 8% 8% 10% 10%4% 4% 5% 3% 3% 4% 4%4% 4% 4% 2% 4% 5% 4%6% 5% 10% 11% 9% 12% 4%

Table g73[{q75}].mA - 'Post an update, video or photo to a social network' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50026% 28% 26% 16% 9% 6% 13%18% 18% 15% 18% 18% 10% 18%19% 19% 18% 15% 15% 13% 18%14% 12% 14% 18% 20% 20% 21%7% 7% 7% 10% 13% 15% 12%7% 7% 6% 9% 11% 14% 10%9% 9% 14% 14% 15% 21% 9%

Table g73[{q76}].mA - Make a telephone call (voice only) : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

Page 164: 2014 Millennial Survey Regions and Countries Dataset

4201 3701 750 1000 501 500 50036% 40% 44% 26% 11% 13% 17%23% 19% 16% 29% 30% 26% 32%16% 16% 11% 20% 24% 22% 22%9% 9% 6% 13% 19% 18% 11%4% 4% 7% 3% 5% 8% 8%4% 4% 5% 3% 4% 3% 5%8% 8% 11% 6% 7% 11% 4%

Table g73[{q77}].mA - Send a text message : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50040% 42% 45% 40% 30% 27% 18%20% 19% 17% 24% 28% 27% 18%16% 16% 12% 13% 21% 15% 12%9% 8% 7% 9% 8% 15% 18%4% 5% 6% 4% 5% 4% 10%5% 5% 5% 3% 4% 5% 20%5% 5% 8% 7% 5% 6% 6%

Table g73[{q78}].mA - Find a date : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5007% 7% 10% 7% 4% 6% 4%9% 6% 8% 8% 8% 12% 7%

10% 8% 8% 7% 6% 11% 6%12% 9% 10% 10% 8% 20% 11%8% 7% 9% 6% 5% 8% 6%

12% 11% 9% 15% 14% 13% 16%42% 53% 47% 48% 55% 31% 49%

Page 165: 2014 Millennial Survey Regions and Countries Dataset

Table g73[{q79}].mA - Watch a video posted online : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50029% 30% 25% 25% 13% 9% 17%22% 21% 16% 26% 27% 19% 25%20% 21% 19% 16% 22% 22% 18%11% 11% 12% 13% 13% 20% 16%4% 4% 5% 6% 9% 8% 9%5% 5% 7% 4% 7% 7% 5%9% 8% 17% 10% 9% 15% 10%

Table g73[{q80}].mA - 'Stream video content through a service such as iTunes, Netflix, Amazon, HBO Go, etc.' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50011% 9% 13% 15% 7% 4% 7%11% 9% 11% 16% 11% 7% 7%13% 12% 11% 17% 14% 11% 8%12% 10% 9% 15% 17% 14% 12%7% 8% 9% 8% 11% 8% 10%

10% 10% 8% 8% 12% 10% 9%36% 42% 40% 21% 28% 46% 47%

Table g73[{q81}].mA - 'Make a financial transaction (payment, deposit, money transfer)' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

Page 166: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5009% 8% 11% 9% 5% 3% 4%

10% 8% 7% 13% 14% 10% 8%12% 10% 8% 14% 15% 12% 9%14% 13% 10% 22% 24% 22% 18%10% 10% 9% 12% 13% 12% 12%9% 11% 9% 7% 8% 6% 15%

36% 39% 45% 23% 20% 35% 34%

Table g73[{q82}].mA - Read the news : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50029% 27% 28% 14% 14% 28% 16%25% 23% 16% 29% 29% 32% 27%16% 17% 19% 15% 17% 14% 20%10% 10% 8% 14% 16% 11% 14%6% 6% 6% 8% 7% 3% 9%5% 5% 6% 6% 7% 4% 6%9% 10% 17% 14% 10% 8% 9%

Table g73[{q83}].mA - Take a photo or video : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50023% 26% 28% 16% 9% 7% 16%18% 18% 14% 23% 22% 19% 25%23% 25% 21% 21% 22% 22% 25%

Page 167: 2014 Millennial Survey Regions and Countries Dataset

18% 15% 14% 20% 24% 26% 19%6% 6% 6% 8% 11% 8% 8%6% 5% 6% 5% 7% 7% 4%6% 6% 11% 7% 5% 10% 3%

Table g73[{q84}].mA - Play a video game : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50017% 18% 16% 19% 13% 8% 16%16% 15% 12% 17% 17% 13% 17%18% 19% 16% 16% 17% 16% 17%14% 14% 14% 17% 17% 17% 13%7% 7% 7% 7% 9% 11% 10%

12% 12% 10% 10% 13% 13% 14%16% 15% 24% 15% 13% 22% 12%

Table g73[{q85}].mA - Shop : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5009% 9% 15% 9% 5% 2% 4%8% 7% 7% 18% 14% 9% 11%

11% 10% 9% 16% 20% 15% 13%15% 13% 9% 22% 23% 24% 16%13% 12% 9% 14% 14% 16% 16%14% 16% 10% 7% 10% 11% 12%29% 33% 41% 16% 14% 24% 28%

Page 168: 2014 Millennial Survey Regions and Countries Dataset

Table g73[{q86}].mA - Order a taxi : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5005% 6% 11% 3% 2% 1% 2%6% 6% 8% 4% 4% 2% 5%8% 8% 11% 5% 7% 4% 6%

11% 12% 10% 6% 14% 11% 7%10% 9% 7% 7% 17% 9% 8%13% 12% 9% 17% 26% 25% 18%46% 47% 44% 58% 30% 48% 54%

Table g73[{q87}].mA - Find directions : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50012% 11% 16% 7% 3% 2% 6%12% 11% 10% 12% 10% 10% 10%18% 17% 12% 19% 14% 14% 15%21% 20% 11% 24% 28% 32% 28%12% 13% 9% 15% 16% 17% 17%9% 9% 8% 10% 16% 13% 15%

16% 19% 33% 12% 12% 12% 9%

Table g73[{q88}].mA - 'Connect to another physical item (thermostat, car, fitness band, etc.)' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

COUNTRIESLatAM Hispam Central America US UK DE SP

Page 169: 2014 Millennial Survey Regions and Countries Dataset

4201 3701 750 1000 501 500 5009% 9% 15% 8% 2% 2% 5%9% 8% 8% 9% 9% 8% 9%9% 8% 9% 8% 9% 8% 6%9% 8% 9% 11% 10% 8% 10%6% 7% 7% 6% 6% 6% 7%8% 8% 7% 8% 11% 8% 7%

51% 53% 45% 51% 53% 60% 55%

Table g89[..].mA_Columns - When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

A company with a strong commitment to sustainability and social impactA company with positive consumer reviewsThe brand that my closest friends and family useA company that is the leader in consumer innovation

6702 6702 6702 670234% 51% 20% 36%43% 38% 37% 44%18% 8% 30% 17%5% 3% 13% 4%

Table g89[{q89}].mA - A brand that has a trusted reputation for delivering quality products / services : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50065% 66% 55% 58% 45% 36% 43%27% 26% 28% 37% 48% 46% 44%5% 5% 9% 4% 5% 14% 10%2% 3% 7% 1% 2% 4% 2%

Table g89[{q90}].mA - The least expensive option : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

Page 170: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50037% 39% 41% 37% 28% 27% 39%39% 38% 33% 47% 52% 50% 45%18% 17% 16% 13% 17% 18% 12%6% 6% 10% 3% 3% 5% 3%

Table g89[{q91}].mA - A company that provides bundled services for one price (e.g. home internet / mobile plans / devices) : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50044% 49% 50% 29% 24% 19% 25%38% 34% 32% 51% 54% 48% 49%14% 12% 12% 16% 16% 26% 21%4% 5% 7% 4% 5% 7% 5%

Table g89[{q92}].mA - A company with a strong commitment to sustainability and social impact : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50042% 43% 49% 34% 20% 16% 27%38% 35% 30% 45% 53% 47% 45%16% 16% 13% 16% 22% 28% 21%4% 5% 8% 5% 4% 8% 7%

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Table g89[{q93}].mA - A company with positive consumer reviews : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50055% 52% 49% 56% 43% 34% 40%33% 33% 31% 37% 48% 49% 45%9% 10% 12% 6% 7% 12% 12%3% 5% 8% 2% 2% 5% 4%

Table g89[{q94}].mA - The brand that my closest friends and family use : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50022% 19% 26% 23% 12% 10% 13%34% 31% 34% 40% 47% 38% 38%29% 31% 21% 27% 32% 39% 34%16% 19% 19% 11% 9% 14% 15%

Table g89[{q95}].mA - A company that is the leader in consumer innovation : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50048% 49% 49% 31% 24% 16% 27%36% 34% 30% 50% 49% 48% 46%12% 12% 15% 15% 24% 30% 22%4% 5% 6% 4% 4% 6% 5%

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Table g96[..].mA_Columns - Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

EntertainmentPersonal banking / making paymentsAccess to news / current eventsPersonal expressionSocial life (with friends)Romantic lifePolitical expression

6702 6702 6702 6702 6702 6702 670259% 39% 53% 40% 52% 31% 24%31% 34% 34% 41% 36% 34% 37%10% 28% 13% 20% 13% 36% 39%

Table g96[{q96}].mA - Medicine and healthcare : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50030% 28% 36% 24% 15% 12% 19%38% 35% 34% 39% 37% 39% 37%32% 37% 30% 37% 49% 50% 45%

Table g96[{q97}].mA - Education and research : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50062% 62% 57% 46% 33% 27% 36%29% 28% 28% 37% 40% 46% 41%9% 10% 15% 17% 27% 28% 24%

Page 173: 2014 Millennial Survey Regions and Countries Dataset

Table g96[{q98}].mA - Finding a job / career opportunities : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50043% 43% 44% 35% 26% 23% 32%37% 36% 34% 41% 41% 39% 38%20% 21% 22% 24% 32% 38% 29%

Table g96[{q99}].mA - Entertainment : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50064% 64% 53% 58% 49% 47% 55%29% 28% 34% 30% 38% 38% 33%7% 8% 13% 12% 12% 15% 12%

Table g96[{q100}].mA - Personal banking / making payments : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50038% 34% 31% 44% 42% 26% 28%32% 32% 29% 36% 35% 33% 36%30% 34% 40% 20% 23% 41% 36%

Page 174: 2014 Millennial Survey Regions and Countries Dataset

Table g96[{q101}].mA - Access to news / current events : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50059% 58% 48% 47% 45% 49% 53%31% 31% 35% 39% 37% 33% 33%10% 11% 17% 14% 18% 17% 14%

Table g96[{q102}].mA - Personal expression : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50045% 44% 46% 43% 29% 18% 33%37% 37% 35% 41% 44% 52% 44%18% 19% 19% 17% 28% 30% 23%

Table g96[{q103}].mA - Social life (with friends) : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50056% 57% 54% 51% 46% 42% 50%33% 33% 32% 35% 41% 41% 38%11% 11% 15% 15% 13% 16% 13%

Page 175: 2014 Millennial Survey Regions and Countries Dataset

Table g96[{q104}].mA - Romantic life : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50035% 34% 35% 31% 19% 21% 27%36% 33% 31% 30% 35% 34% 37%29% 33% 34% 40% 46% 45% 37%

Table g96[{q105}].mA - Political expression : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50028% 26% 26% 22% 16% 16% 24%37% 36% 35% 38% 36% 38% 35%34% 38% 39% 40% 48% 46% 41%

Table g96[{q106}].mA - Retail / commerce (e.g. purchasing goods and services) : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50035% 29% 26% 37% 42% 32% 20%37% 36% 33% 45% 37% 39% 36%28% 35% 41% 18% 22% 29% 44%

Page 176: 2014 Millennial Survey Regions and Countries Dataset

Table g96[{q107}].mA - Travel : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50032% 30% 26% 31% 27% 19% 33%37% 35% 32% 40% 44% 42% 38%31% 35% 43% 30% 29% 39% 29%

Table g96[{q108}].mA - 'Creativity (e.g. making art, pictures, music, videos)' : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50055% 56% 52% 40% 31% 31% 43%33% 32% 33% 42% 43% 42% 38%12% 12% 16% 18% 26% 26% 19%

Table g96[{q109}].mA - Work / business productivity : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50040% 37% 39% 32% 23% 23% 25%37% 38% 35% 41% 41% 40% 38%23% 25% 26% 27% 37% 36% 38%

Page 177: 2014 Millennial Survey Regions and Countries Dataset

Table g96[{q110}].mA - Local transportation : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50024% 22% 28% 28% 20% 13% 23%38% 36% 32% 33% 46% 40% 40%38% 42% 40% 39% 35% 47% 37%

Table g96[{q111}].mA - Personal safety : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50027% 25% 36% 29% 18% 14% 22%36% 36% 32% 41% 44% 42% 38%36% 38% 32% 30% 37% 43% 40%

Table q112 - Looking ahead to the next 10 years, which areas of your life do you believe that personal mobile technology will transform the most? Please select the three areas that you believe will be most transformed by personal mobile technology 10 years from now.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50018% 19% 22% 17% 11% 13% 12%37% 38% 38% 27% 21% 23% 23%17% 18% 21% 17% 19% 16% 19%

Page 178: 2014 Millennial Survey Regions and Countries Dataset

34% 34% 25% 37% 36% 36% 42%21% 20% 13% 20% 25% 14% 21%16% 15% 14% 19% 19% 24% 22%11% 12% 16% 13% 12% 9% 14%31% 30% 27% 34% 36% 44% 40%11% 11% 14% 13% 12% 11% 12%7% 7% 10% 6% 7% 11% 5%

15% 12% 8% 17% 23% 23% 11%12% 14% 16% 14% 17% 11% 14%20% 20% 15% 18% 14% 16% 22%25% 26% 23% 23% 23% 22% 19%9% 8% 13% 7% 9% 6% 7%

13% 12% 19% 13% 12% 14% 13%2% 3% 5% 4% 3% 7% 3%

Table g113A[..].mA_Columns - First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

Binge watching an entire season of a television programNew release movieMovie that is not a new releaseGaming (e.g. strategy, first person shooter, puzzle, racing)

6702 6702 6702 670213% 13% 14% 35%19% 14% 20% 31%41% 28% 44% 49%63% 38% 59% 41%12% 60% 23% 9%

Table g113A[{q113}].mA - 'Short video posted online, or to a social media app' : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50050% 46% 41% 55% 58% 60% 41%31% 27% 23% 43% 49% 42% 28%39% 34% 21% 62% 65% 61% 49%

Page 179: 2014 Millennial Survey Regions and Countries Dataset

15% 12% 16% 29% 24% 20% 14%4% 3% 4% 8% 9% 8% 4%

Table g113A[{q114}].mA - Brand new television program (e.g. new episode) : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50014% 13% 19% 16% 12% 7% 7%14% 11% 15% 26% 23% 18% 12%26% 22% 14% 45% 49% 45% 29%66% 65% 51% 72% 76% 75% 69%7% 5% 6% 14% 18% 19% 7%

Table g113A[{q115}].mA - Single episode of an old television program (e.g. not a new episode) : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50019% 17% 22% 24% 20% 11% 9%20% 18% 17% 33% 35% 27% 15%37% 33% 21% 57% 60% 57% 44%50% 47% 39% 64% 65% 63% 52%6% 5% 5% 13% 15% 15% 6%

Table g113A[{q116}].mA - "Binge watching" an entire season of a television program : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

COUNTRIES

Page 180: 2014 Millennial Survey Regions and Countries Dataset

LatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50014% 13% 19% 15% 12% 6% 7%15% 13% 13% 24% 20% 17% 14%31% 24% 17% 49% 52% 49% 35%60% 62% 47% 67% 66% 66% 58%8% 6% 6% 13% 17% 19% 9%

Table g113A[{q117}].mA - New release movie : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50013% 12% 20% 15% 10% 7% 8%11% 9% 13% 19% 16% 14% 9%19% 14% 11% 35% 38% 35% 23%24% 18% 18% 48% 49% 57% 25%61% 62% 41% 59% 65% 50% 60%

Table g113A[{q118}].mA - Movie that is not a new release : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50016% 15% 21% 16% 12% 6% 7%16% 14% 16% 27% 25% 19% 13%34% 29% 19% 52% 56% 49% 35%52% 49% 34% 63% 66% 68% 58%16% 14% 14% 28% 32% 28% 16%

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Table g113A[{q119}].mA - 'Gaming (e.g. strategy, first person shooter, puzzle, racing)' : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50035% 31% 33% 37% 33% 36% 27%29% 26% 25% 34% 32% 29% 23%41% 37% 22% 53% 57% 64% 48%29% 25% 21% 55% 54% 38% 29%6% 4% 5% 11% 13% 10% 6%

Table g113B[..].mB_Columns - Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

Binge watching an entire season of a television programNew release movieMovie that is not a new releaseGaming (e.g. strategy, first person shooter, puzzle, racing)

6702 6702 6702 67027% 7% 7% 19%8% 7% 9% 14%

28% 14% 25% 33%54% 20% 50% 32%3% 53% 9% 3%

Table g113B[{q113}].mB - 'Short video posted online, or to a social media app' : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50036% 36% 34% 30% 26% 33% 24%15% 15% 18% 13% 17% 12% 15%35% 34% 25% 42% 40% 44% 41%

Page 182: 2014 Millennial Survey Regions and Countries Dataset

12% 12% 20% 13% 13% 10% 17%2% 2% 3% 2% 3% 1% 2%

Table g113B[{q114}].mB - Brand new television program (e.g. new episode) : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5009% 10% 16% 7% 5% 2% 5%8% 8% 14% 9% 6% 7% 7%

18% 18% 14% 19% 23% 20% 21%62% 62% 52% 64% 63% 70% 64%3% 3% 4% 2% 5% 1% 3%

Table g113B[{q115}].mB - Single episode of an old television program (e.g. not a new episode) : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50010% 11% 17% 8% 6% 3% 6%12% 11% 17% 10% 8% 8% 11%31% 31% 19% 28% 29% 33% 34%45% 45% 43% 52% 52% 53% 47%3% 3% 4% 2% 4% 2% 3%

Table g113B[{q116}].mB - "Binge watching" an entire season of a television program : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

COUNTRIES

Page 183: 2014 Millennial Survey Regions and Countries Dataset

LatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5009% 10% 16% 7% 4% 3% 4%7% 8% 11% 10% 7% 6% 9%

27% 25% 20% 28% 31% 29% 30%53% 55% 49% 53% 55% 58% 53%3% 3% 5% 2% 4% 4% 4%

Table g113B[{q117}].mB - New release movie : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5008% 9% 17% 7% 4% 3% 4%7% 7% 13% 7% 5% 7% 7%

13% 13% 13% 15% 14% 16% 16%15% 14% 19% 20% 23% 35% 19%56% 57% 39% 51% 54% 39% 53%

Table g113B[{q118}].mB - Movie that is not a new release : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5009% 9% 16% 7% 4% 3% 4%9% 8% 14% 10% 6% 8% 7%

27% 28% 21% 22% 26% 23% 30%47% 46% 40% 53% 50% 56% 51%8% 8% 10% 8% 13% 10% 8%

Page 184: 2014 Millennial Survey Regions and Countries Dataset

Table g113B[{q119}].mB - 'Gaming (e.g. strategy, first person shooter, puzzle, racing)' : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50024% 26% 30% 15% 11% 16% 15%16% 17% 22% 12% 11% 10% 13%34% 34% 23% 27% 32% 46% 43%23% 20% 21% 44% 42% 26% 25%2% 2% 4% 3% 4% 1% 4%

Table q120 - Thinking about the impact of personal mobile technology, which of the following do you agree with more?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50047% 52% 58% 59% 53% 71% 68%53% 48% 42% 41% 47% 29% 32%

Table q121 - Which statement about opportunities and personal mobile technology, do you agree with more?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50070% 71% 64% 73% 69% 71% 64%30% 29% 36% 27% 31% 29% 36%

Page 185: 2014 Millennial Survey Regions and Countries Dataset

Table q122 - Do you feel that personal mobile technology has done more to improve the lives of... Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50032% 27% 29% 32% 31% 20% 16%67% 67% 52% 67% 60% 62% 63%43% 41% 34% 52% 41% 51% 45%11% 14% 16% 10% 17% 16% 13%

I am worried about getting hacked / someone stealing my information online

670242%38%14%6%

Table g123[{q123}].mA - I am in control of my personal data : How strongly do you agree with the following statements?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50045% 45% 53% 36% 21% 14% 26%37% 35% 27% 48% 51% 45% 40%12% 14% 12% 12% 22% 31% 24%6% 6% 8% 4% 6% 10% 10%

Page 186: 2014 Millennial Survey Regions and Countries Dataset

Table g123[{q124}].mA - I fully understand what types of personal information and data that companies collect and store about me : How strongly do you agree with the following statements?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50040% 40% 43% 33% 23% 13% 22%39% 39% 34% 45% 48% 44% 44%15% 15% 15% 18% 23% 29% 27%6% 6% 8% 5% 6% 14% 8%

Table g123[{q125}].mA - I actively take steps to protect my online security : How strongly do you agree with the following statements?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50055% 54% 54% 43% 34% 24% 33%34% 33% 26% 47% 52% 51% 49%9% 10% 13% 9% 12% 22% 14%3% 4% 6% 1% 2% 3% 4%

Table g123[{q126}].mA - I am worried about getting hacked / someone stealing my information online : How strongly do you agree with the following statements?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50054% 48% 47% 35% 27% 29% 39%30% 32% 27% 44% 49% 43% 40%

Page 187: 2014 Millennial Survey Regions and Countries Dataset

9% 12% 13% 17% 20% 22% 17%7% 8% 13% 5% 4% 6% 4%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50020% 19% 17% 23% 21% 9% 17%22% 24% 21% 28% 23% 14% 17%7% 5% 9% 12% 8% 4% 5%

22% 21% 21% 24% 17% 10% 16%14% 15% 16% 15% 12% 4% 8%7% 6% 11% 7% 4% 3% 3%

46% 47% 45% 43% 48% 67% 57%

New technology such as data and its collection and use should be regulated by the governmentI am comfortable giving companies access to my personal data if they promise not to sell it to 3rd partiesI am comfortable giving companies access to my personal data if they use it to create better value for me as a customerI am comfortable giving companies access to my personal data if they use it to create more personalized offers and products to me as a customer

6702 6702 6702 670223% 20% 17% 17%38% 41% 40% 38%22% 25% 27% 28%17% 15% 16% 17%

Table g128[{q128}].mA - Legislation protects your personal data : How strongly do you agree with the following statements?

Page 188: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50020% 22% 25% 15% 16% 6% 13%36% 37% 36% 37% 50% 36% 45%27% 25% 21% 33% 27% 37% 31%17% 16% 18% 16% 6% 21% 12%

Table g128[{q129}].mA - Companies interfere with the freedom of expression in the on-line world : How strongly do you agree with the following statements?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50021% 20% 26% 22% 20% 10% 19%42% 39% 37% 43% 48% 39% 48%26% 27% 21% 29% 29% 40% 26%11% 13% 16% 6% 4% 11% 7%

Table g128[{q130}].mA - New technology such as connectivity should be regulated by the government : How strongly do you agree with the following statements?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50024% 21% 28% 17% 17% 9% 16%31% 27% 31% 32% 45% 47% 38%22% 23% 20% 28% 29% 29% 26%24% 29% 21% 23% 9% 15% 20%

Table g128[{q131}].mA - New technology such as data and its collection and use should be regulated by the government : How strongly do you agree with the following statements?

Page 189: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50026% 24% 26% 20% 24% 16% 25%33% 29% 32% 39% 49% 49% 37%21% 22% 21% 23% 20% 22% 23%20% 24% 21% 17% 7% 13% 15%

Table g128[{q132}].mA - I am comfortable giving companies access to my personal data if they promise not to sell it to 3rd parties : How strongly do you agree with the following statements?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50023% 25% 28% 20% 14% 12% 16%36% 36% 27% 42% 56% 45% 35%24% 22% 23% 24% 23% 27% 33%17% 17% 21% 15% 7% 16% 16%

Table g128[{q133}].mA - I am comfortable giving companies access to my personal data if they use it to create better value for me as a customer : How strongly do you agree with the following statements?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50021% 22% 28% 17% 13% 7% 13%39% 37% 32% 41% 51% 39% 35%24% 24% 21% 27% 26% 36% 34%16% 16% 19% 16% 10% 18% 18%

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Table g128[{q134}].mA - I am comfortable giving companies access to my personal data if they use it to create more personalized offers and products to me as a customer : How strongly do you agree with the following statements?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50021% 21% 27% 17% 12% 9% 14%37% 37% 33% 39% 47% 36% 34%25% 25% 22% 29% 29% 35% 32%17% 17% 18% 16% 12% 20% 19%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50020% 20% 20% 31% 26% 21% 21%34% 31% 38% 28% 28% 39% 37%29% 31% 31% 24% 28% 22% 22%17% 19% 12% 18% 18% 18% 21%

Table q136 - How familiar are you with the NSA / PRISM / Edward Snowden issues in the United States related to government spying on citizens' personal communications?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50015% 11% 13% 25% 19% 22% 21%35% 31% 24% 42% 43% 56% 38%25% 27% 23% 18% 20% 16% 20%25% 30% 41% 14% 18% 6% 20%

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Table q137 - How strongly do you agree or disagree with the following statement? Overall, I am concerned about the security and privacy of my data and information online

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50057% 51% 51% 38% 32% 36% 42%34% 37% 30% 50% 53% 49% 45%6% 8% 10% 11% 14% 13% 11%3% 4% 9% 1% 1% 2% 3%

Table q138 - Some people believe that it is acceptable to give up some personal privacy in order to protect national security by allowing governments to access citizens' personal information in the service of preventing attacks and security threats. Others disagree. Where do you stand on the issue?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50035% 35% 37% 40% 46% 36% 31%53% 53% 43% 46% 39% 51% 55%12% 12% 20% 13% 15% 13% 14%

Table g139[..].mA_Columns - To what extent do you believe the Snowden revelations will change the privacy-related practices of each of the following groups?

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Table g139[{q139}].mA - Government : To what extent do you believe the Snowden revelations will change the privacy-related practices of each of the following groups?

COUNTRIESLatAM Hispam Central America US UK DE SP

1833 1514 272 679 307 383 29758% 56% 49% 44% 40% 33% 41%30% 29% 35% 35% 42% 42% 37%13% 16% 16% 21% 19% 25% 22%

Table g139[{q140}].mA - Companies : To what extent do you believe the Snowden revelations will change the privacy-related practices of each of the following groups?

COUNTRIESLatAM Hispam Central America US UK DE SP

1833 1514 272 679 307 383 29751% 50% 48% 37% 33% 28% 38%39% 39% 39% 45% 45% 51% 42%10% 11% 13% 19% 22% 21% 20%

Table g139[{q141}].mA - Consumers : To what extent do you believe the Snowden revelations will change the privacy-related practices of each of the following groups?

COUNTRIESLatAM Hispam Central America US UK DE SP

1833 1514 272 679 307 383 29742% 44% 44% 41% 34% 27% 37%44% 41% 42% 44% 50% 51% 45%

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14% 15% 14% 15% 16% 22% 18%

Table q142 - Thinking about technology, which of the following statements do you agree with more?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50065% 62% 59% 71% 73% 58% 59%35% 38% 41% 29% 27% 42% 41%

Table q143 - Which of the following skills do you consider most important to getting a decent paying job in your country? Please select the top 3 most important choices.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5007% 5% 7% 8% 7% 6% 9%

17% 15% 15% 13% 13% 11% 19%36% 32% 18% 37% 34% 36% 35%22% 26% 22% 20% 23% 28% 19%30% 32% 38% 21% 19% 20% 27%17% 17% 20% 17% 11% 14% 19%54% 55% 46% 55% 65% 62% 48%11% 10% 14% 8% 8% 13% 13%30% 32% 34% 24% 29% 18% 29%16% 20% 22% 20% 16% 17% 16%19% 19% 20% 25% 23% 22% 28%21% 17% 21% 36% 33% 25% 14%11% 10% 13% 8% 7% 9% 11%10% 11% 12% 8% 12% 18% 13%

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Table q144 - When it comes to the workplace, which of the following do you believe are the top 2 benefits to having a digital skillset / knowing how to use digital tools?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50039% 39% 36% 43% 42% 54% 41%77% 77% 63% 69% 67% 69% 74%10% 10% 19% 15% 16% 13% 10%44% 45% 45% 37% 38% 22% 43%22% 22% 24% 26% 24% 26% 16%4% 4% 6% 3% 3% 4% 4%2% 2% 3% 4% 5% 6% 6%

Table q145 - In your opinion, which of the following region(s) will lead the world in technology and innovation in the next 10 years? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50048% 47% 40% 60% 34% 33% 39%20% 19% 28% 4% 4% 5% 4%25% 22% 22% 19% 26% 35% 26%16% 16% 21% 13% 9% 8% 9%39% 39% 24% 39% 31% 40% 49%19% 17% 11% 27% 23% 33% 14%25% 26% 19% 16% 24% 17% 21%3% 2% 4% 4% 5% 3% 2%

Table q146 - Which Latin American country is set to be the leading country when it comes to technology and innovation?

COUNTRIESLatAM Hispam Central America US UK DE SP

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4201 3701 750 1000 501 500 50011% 14% 8% 12% 13% 13% 27%.% .% 1% .% 1% 1% 1%

42% 26% 17% 37% 45% 43% 22%10% 12% 6% 3% 2% 6% 9%5% 7% 4% 5% 3% 3% 3%2% 3% 10% 3% 3% 3% 3%1% 2% 3% 2% 2% 2% 1%1% .% 1% 4% 3% 2% 2%1% 1% 1% 1% .% 1% 1%.% .% 1% .% .% 1% .%.% 1% 3% .% .% .% 0%.% .% 1% .% .% 1% 1%.% .% .% 1% 1% .% 1%

16% 21% 18% 14% 14% 18% 17%.% 1% 3% .% 1% 0% 1%4% 6% 14% 2% 1% 1% 2%1% .% 1% .% 2% 1% .%1% 1% .% 3% 2% 1% 1%1% 1% 2% 8% 3% 1% 2%2% 1% 1% .% 2% 2% 2%2% 3% 4% 2% 2% 1% 4%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5007% 7% 14% 57% 32% 33% 8%

19% 18% 26% 17% 21% 24% 11%40% 40% 28% 11% 16% 14% 19%34% 35% 32% 15% 31% 28% 61%

Page 196: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50048% 44% 41% 21% 31% 17% 42%12% 13% 10% 15% 10% 11% 14%14% 15% 19% 14% 17% 13% 13%22% 22% 20% 32% 25% 37% 19%5% 5% 10% 18% 17% 22% 12%

Table q149 - Which global company or brand is set to be the leader in technology and innovation in the next 10 years?

COUNTRIESLatAM Hispam Central America US UK DE SP

4200 3700 750 1000 501 500 5002% 2% 2% 8% 6% 8% 5%

33% 29% 19% 35% 34% 33% 35%18% 18% 15% 25% 27% 15% 23%8% 9% 15% 5% 4% 7% 7%

17% 20% 20% 8% 11% 11% 10%2% 2% 3% .% 1% 1% 1%.% .% 1% 1% 1% 1% 2%1% 1% 1% .% 1% 1% .%1% 1% 1% 5% .% 1% 1%

15% 15% 15% 10% 10% 12% 12%1% .% .% .% 1% 1% .%3% 4% 7% 4% 5% 9% 5%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50082% 80% 76% 39% 45% 48% 69%

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13% 13% 12% 47% 41% 34% 17%4% 5% 6% 13% 14% 16% 12%2% 2% 6% 1% 1% 2% 2%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50049% 44% 46% 46% 49% 44% 37%9% 10% 8% 7% 6% 4% 4%

30% 33% 29% 28% 25% 38% 42%6% 5% 4% 18% 17% 6% 13%4% 6% 5% 1% 1% 6% 3%2% 3% 8% 1% 1% 2% 2%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50042% 48% 50% 14% 9% 23% 38%51% 42% 35% 81% 88% 70% 47%8% 10% 15% 5% 2% 7% 15%

COUNTRIES

Page 198: 2014 Millennial Survey Regions and Countries Dataset

LatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50066% 66% 67% 63% 64% 60% 71%19% 17% 14% 24% 15% 12% 9%12% 13% 11% 10% 21% 27% 16%1% 1% 2% 1% .% 1% 1%.% .% 1% .% 0% 0% .%2% 2% 4% 2% .% 1% 2%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50052% 51% 56% 40% 44% 29% 64%9% 10% 13% 4% 5% 1% 4%3% 3% 3% 5% 7% 6% 3%1% 1% 1% .% 1% 2% 1%

16% 16% 12% 22% 20% 24% 13%13% 12% 7% 13% 14% 15% 10%6% 7% 8% 15% 9% 23% 5%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50018% 17% 18% 29% 27% 22% 20%25% 27% 27% 21% 14% 20% 42%5% 5% 6% 13% 5% 7% 3%

49% 50% 45% 34% 38% 45% 31%2% 1% 2% 2% 15% 6% 4%1% 1% 2% 1% 1% 1% 0%

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Table qUSS1 - Please indicate which of the following categories best represents your total annual household income.

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 1000 0% 0% 0%0% 0% 0% 22% 0% 0% 0%0% 0% 0% 14% 0% 0% 0%0% 0% 0% 18% 0% 0% 0%0% 0% 0% 13% 0% 0% 0%0% 0% 0% 14% 0% 0% 0%0% 0% 0% 8% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% 9% 0% 0% 0%

Table q156 - Are you a parent or guardian of any children in any of the following age categories? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50017% 17% 19% 14% 13% 11% 8%9% 10% 12% 9% 8% 4% 5%9% 8% 11% 7% 7% 4% 5%3% 3% 3% 3% 3% 2% 2%1% 1% 2% 1% 1% 1% 2%

66% 64% 53% 73% 76% 80% 80%4% 4% 9% 2% 2% 2% 2%

Page 200: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50052% 50% 64% 51% 23% 32% 27%.% .% .% 1% 4% 5% 1%.% .% .% 1% 3% .% 1%1% 1% .% 2% 2% 2% 1%.% .% 0% 0% 1% 1% 1%.% .% .% .% .% 1% .%.% .% 0% .% 0% .% .%.% .% 1% 1% 1% .% .%.% .% 0% 0% 0% .% 0%

11% 11% 7% 3% 3% 2% 3%28% 29% 19% 35% 61% 52% 61%8% 9% 10% 6% 3% 5% 7%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5006% 6% 10% 12% 9% 3% 12%

13% 14% 5% 16% 22% 17% 33%26% 23% 22% 35% 28% 36% 13%9% 9% 5% 12% 6% 13% 6%2% 2% 3% 7% 3% 2% 2%

44% 46% 55% 18% 32% 29% 34%

COUNTRIES

Page 201: 2014 Millennial Survey Regions and Countries Dataset

LatAM Hispam Central America US UK DE SP

0% 0% 0% 1000 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 3% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 13% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 6% 0% 0% 0%0% 0% 0% 3% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 5% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% 3% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 3% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% 7% 0% 0% 0%0% 0% 0% 3% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 4% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 5% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 6% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%

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0% 0% 0% .% 0% 0% 0%0% 0% 0% 3% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 5002% 2% 3% 4% 4% 1% 1%1% 2% 2% 2% 3% 1% 2%1% 1% 1% 2% 5% .% 3%3% 4% 5% 2% 3% 4% 5%5% 7% 5% 2% 3% 10% 10%5% 4% 5% 12% 6% 4% 2%6% 5% 3% 11% 6% 4% 7%1% 1% 1% .% 1% .% 2%3% 2% 1% 4% 5% 4% 4%

11% 9% 4% 10% 9% 7% 10%16% 19% 12% 8% 5% 6% 12%27% 27% 24% 26% 21% 15% 21%19% 18% 35% 17% 30% 44% 23%

Table q160 - We would be very interested to check in with you again later this year. Would you be open to being re-contacted regarding this survey later this year?

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50090% 87% 61% 73% 78% 90% 94%10% 13% 39% 27% 22% 10% 6%

Page 203: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

2668 2305 365 749 300 174 43963% 60% 58% 85% 88% 87% 80%37% 40% 42% 15% 12% 13% 20%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 1000 0% 0% 0%0% 0% 0% 98% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 1000 0% 0% 0%0% 0% 0% 68% 0% 0% 0%0% 0% 0% 13% 0% 0% 0%0% 0% 0% 12% 0% 0% 0%0% 0% 0% 1% 0% 0% 0%0% 0% 0% .% 0% 0% 0%

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0% 0% 0% 5% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 1000 0% 0% 0%0% 0% 0% 17% 0% 0% 0%0% 0% 0% 83% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 1000 0% 0% 0%0% 0% 0% 98% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

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500 500 0% 0% 0% 0% 0%41% 41% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

20% 20% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%7% 7% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%8% 8% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%

Table QARGS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

COUNTRIESLatAM Hispam Central America US UK DE SP

500 500 0% 0% 0% 0% 0%19% 19% 0% 0% 0% 0% 0%13% 13% 0% 0% 0% 0% 0%7% 7% 0% 0% 0% 0% 0%

12% 12% 0% 0% 0% 0% 0%14% 14% 0% 0% 0% 0% 0%7% 7% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%

25% 25% 0% 0% 0% 0% 0%

Page 206: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

500 500 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

30% 30% 0% 0% 0% 0% 0%14% 14% 0% 0% 0% 0% 0%19% 19% 0% 0% 0% 0% 0%34% 34% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

500 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0%4% 0% 0% 0% 0% 0% 0%3% 0% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0% 0%3% 0% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0% 0%

11% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0%

Page 207: 2014 Millennial Survey Regions and Countries Dataset

1% 0% 0% 0% 0% 0% 0%8% 0% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0%

11% 0% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0% 0%6% 0% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%4% 0% 0% 0% 0% 0% 0%

30% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

500 0% 0% 0% 0% 0% 0%26% 0% 0% 0% 0% 0% 0%36% 0% 0% 0% 0% 0% 0%5% 0% 0% 0% 0% 0% 0%

19% 0% 0% 0% 0% 0% 0%4% 0% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0% 0%5% 0% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0% 0%

Table qBRAS1 - Qual das seguintes categorias melhor representa a renda anual total do seu domicílio

COUNTRIESLatAM Hispam Central America US UK DE SP

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500 0% 0% 0% 0% 0% 0%16% 0% 0% 0% 0% 0% 0%15% 0% 0% 0% 0% 0% 0%12% 0% 0% 0% 0% 0% 0%13% 0% 0% 0% 0% 0% 0%12% 0% 0% 0% 0% 0% 0%11% 0% 0% 0% 0% 0% 0%5% 0% 0% 0% 0% 0% 0%7% 0% 0% 0% 0% 0% 0%

10% 0% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

500 500 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

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0% 0% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

43% 43% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%9% 9% 0% 0% 0% 0% 0%9% 9% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%

Table qCHLS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

COUNTRIESLatAM Hispam Central America US UK DE SP

500 500 0% 0% 0% 0% 0%7% 7% 0% 0% 0% 0% 0%

30% 30% 0% 0% 0% 0% 0%16% 16% 0% 0% 0% 0% 0%13% 13% 0% 0% 0% 0% 0%

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7% 7% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%

24% 24% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

500 500 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

19% 19% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%

14% 14% 0% 0% 0% 0% 0%60% 60% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%

Table qCOLS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar mensual.

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%7% 7% 0% 0% 0% 0% 0%8% 8% 0% 0% 0% 0% 0%

12% 12% 0% 0% 0% 0% 0%15% 15% 0% 0% 0% 0% 0%13% 13% 0% 0% 0% 0% 0%14% 14% 0% 0% 0% 0% 0%11% 11% 0% 0% 0% 0% 0%7% 7% 0% 0% 0% 0% 0%6% 6% 0% 0% 0% 0% 0%8% 8% 0% 0% 0% 0% 0%

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COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

13% 13% 0% 0% 0% 0% 0%6% 6% 0% 0% 0% 0% 0%

13% 13% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

23% 23% 0% 0% 0% 0% 0%13% 13% 0% 0% 0% 0% 0%24% 24% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

15% 15% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

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0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

16% 16% 0% 0% 0% 0% 0%23% 23% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%

11% 11% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

Table qGERS1 - Bitte geben Sie an, welche der folgenden Kategorien am ehesten Ihrem Gesamthaushaltseinkommen pro Monat entspricht

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 0% 500 0%0% 0% 0% 0% 0% 16% 0%0% 0% 0% 0% 0% 19% 0%0% 0% 0% 0% 0% 20% 0%0% 0% 0% 0% 0% 16% 0%0% 0% 0% 0% 0% 7% 0%0% 0% 0% 0% 0% 5% 0%0% 0% 0% 0% 0% 2% 0%0% 0% 0% 0% 0% .% 0%0% 0% 0% 0% 0% 1% 0%0% 0% 0% 0% 0% 13% 0%

Page 213: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 0% 500 0%0% 0% 0% 0% 0% 6% 0%0% 0% 0% 0% 0% 27% 0%0% 0% 0% 0% 0% 33% 0%0% 0% 0% 0% 0% 9% 0%0% 0% 0% 0% 0% 10% 0%0% 0% 0% 0% 0% 13% 0%0% 0% 0% 0% 0% .% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% .% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 0% 500 0%0% 0% 0% 0% 0% 14% 0%0% 0% 0% 0% 0% 15% 0%0% 0% 0% 0% 0% 6% 0%0% 0% 0% 0% 0% 2% 0%0% 0% 0% 0% 0% 1% 0%0% 0% 0% 0% 0% 2% 0%0% 0% 0% 0% 0% 7% 0%0% 0% 0% 0% 0% 2% 0%0% 0% 0% 0% 0% 9% 0%0% 0% 0% 0% 0% 20% 0%0% 0% 0% 0% 0% 5% 0%0% 0% 0% 0% 0% 2% 0%0% 0% 0% 0% 0% 6% 0%0% 0% 0% 0% 0% 3% 0%

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0% 0% 0% 0% 0% 3% 0%0% 0% 0% 0% 0% 4% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% .% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

501 501 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

18% 18% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%9% 9% 0% 0% 0% 0% 0%

12% 12% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%6% 6% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%

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1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

Table qMEXS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar mensual.

COUNTRIESLatAM Hispam Central America US UK DE SP

501 501 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%

12% 12% 0% 0% 0% 0% 0%19% 19% 0% 0% 0% 0% 0%36% 36% 0% 0% 0% 0% 0%13% 13% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%

11% 11% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

501 501 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%

30% 30% 0% 0% 0% 0% 0%29% 29% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%

34% 34% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

Page 216: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%7% 7% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%6% 6% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%

51% 51% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

Table qPERS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

COUNTRIESLatAM Hispam Central America US UK DE SP

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300 300 0% 0% 0% 0% 0%24% 24% 0% 0% 0% 0% 0%13% 13% 0% 0% 0% 0% 0%9% 9% 0% 0% 0% 0% 0%

12% 12% 0% 0% 0% 0% 0%9% 9% 0% 0% 0% 0% 0%6% 6% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%

25% 25% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

14% 14% 0% 0% 0% 0% 0%25% 25% 0% 0% 0% 0% 0%61% 61% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 0% 0% 5000% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 0% 3%0% 0% 0% 0% 0% 0% 2%0% 0% 0% 0% 0% 0% 4%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 2%0% 0% 0% 0% 0% 0% 1%

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0% 0% 0% 0% 0% 0% 12%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 0% 4%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 0% 2%0% 0% 0% 0% 0% 0% 2%0% 0% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 2%0% 0% 0% 0% 0% 0% 2%0% 0% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 3%0% 0% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 0% 14%0% 0% 0% 0% 0% 0% 3%0% 0% 0% 0% 0% 0% 3%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 3%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 0% 6%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% 7%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 0% 3%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% .%

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Table qESPS1 - Indique cuál de las siguientes categorías representa mejor los ingresos anuales totales de su unidad familiar.

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 0% 0% 5000% 0% 0% 0% 0% 0% 12%0% 0% 0% 0% 0% 0% 28%0% 0% 0% 0% 0% 0% 15%0% 0% 0% 0% 0% 0% 14%0% 0% 0% 0% 0% 0% 7%0% 0% 0% 0% 0% 0% 4%0% 0% 0% 0% 0% 0% 3%0% 0% 0% 0% 0% 0% 2%0% 0% 0% 0% 0% 0% 16%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 0% 0% 5000% 0% 0% 0% 0% 0% 6%0% 0% 0% 0% 0% 0% 6%0% 0% 0% 0% 0% 0% 30%0% 0% 0% 0% 0% 0% 18%0% 0% 0% 0% 0% 0% 12%0% 0% 0% 0% 0% 0% 16%0% 0% 0% 0% 0% 0% 7%0% 0% 0% 0% 0% 0% 3%0% 0% 0% 0% 0% 0% 1%0% 0% 0% 0% 0% 0% .%

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COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 501 0% 0%0% 0% 0% 0% .% 0% 0%0% 0% 0% 0% 2% 0% 0%0% 0% 0% 0% 36% 0% 0%0% 0% 0% 0% 17% 0% 0%0% 0% 0% 0% 6% 0% 0%0% 0% 0% 0% 24% 0% 0%0% 0% 0% 0% 8% 0% 0%0% 0% 0% 0% 3% 0% 0%0% 0% 0% 0% 2% 0% 0%0% 0% 0% 0% 2% 0% 0%

Table qUKS1 - Please indicate which of the following categories best represents your total annual household income.

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 501 0% 0%0% 0% 0% 0% 18% 0% 0%0% 0% 0% 0% 16% 0% 0%0% 0% 0% 0% 14% 0% 0%0% 0% 0% 0% 19% 0% 0%0% 0% 0% 0% 11% 0% 0%0% 0% 0% 0% 6% 0% 0%0% 0% 0% 0% 3% 0% 0%0% 0% 0% 0% 5% 0% 0%0% 0% 0% 0% 8% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

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0% 0% 0% 0% 501 0% 0%0% 0% 0% 0% 14% 0% 0%0% 0% 0% 0% 8% 0% 0%0% 0% 0% 0% 13% 0% 0%0% 0% 0% 0% 7% 0% 0%0% 0% 0% 0% 13% 0% 0%0% 0% 0% 0% 6% 0% 0%0% 0% 0% 0% 4% 0% 0%0% 0% 0% 0% 8% 0% 0%0% 0% 0% 0% 11% 0% 0%0% 0% 0% 0% 5% 0% 0%0% 0% 0% 0% 9% 0% 0%0% 0% 0% 0% 1% 0% 0%0% 0% 0% 0% .% 0% 0%0% 0% 0% 0% 1% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

250 250 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%9% 9% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

17% 17% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%

14% 14% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%

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2% 2% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

11% 11% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

250 250 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%

33% 33% 0% 0% 0% 0% 0%33% 33% 0% 0% 0% 0% 0%23% 23% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

Table qVENS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

COUNTRIESLatAM Hispam Central America US UK DE SP

250 250 0% 0% 0% 0% 0%18% 18% 0% 0% 0% 0% 0%12% 12% 0% 0% 0% 0% 0%12% 12% 0% 0% 0% 0% 0%12% 12% 0% 0% 0% 0% 0%9% 9% 0% 0% 0% 0% 0%

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3% 3% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

32% 32% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%3% 3% 3% 0% 0% 0% 0%

13% 13% 13% 0% 0% 0% 0%46% 46% 46% 0% 0% 0% 0%19% 19% 19% 0% 0% 0% 0%11% 11% 11% 0% 0% 0% 0%7% 7% 7% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

Table qCOSS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%3% 3% 3% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%5% 5% 5% 0% 0% 0% 0%4% 4% 4% 0% 0% 0% 0%3% 3% 3% 0% 0% 0% 0%3% 3% 3% 0% 0% 0% 0%

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7% 7% 7% 0% 0% 0% 0%65% 65% 65% 0% 0% 0% 0%7% 7% 7% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%20% 20% 20% 0% 0% 0% 0%15% 15% 15% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

15% 15% 15% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

48% 48% 48% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%

40% 40% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%

14% 14% 0% 0% 0% 0% 0%30% 30% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%

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Table qECUS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%25% 25% 0% 0% 0% 0% 0%13% 13% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%

42% 42% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

46% 46% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

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.% .% 0% 0% 0% 0% 0%

.% .% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

46% 46% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%9% 9% 9% 0% 0% 0% 0%5% 5% 5% 0% 0% 0% 0%

41% 41% 41% 0% 0% 0% 0%29% 29% 29% 0% 0% 0% 0%10% 10% 10% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%

Table qGUAS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar mensual.

COUNTRIESLatAM Hispam Central America US UK DE SP

Page 227: 2014 Millennial Survey Regions and Countries Dataset

150 150 150 0% 0% 0% 0%23% 23% 23% 0% 0% 0% 0%26% 26% 26% 0% 0% 0% 0%7% 7% 7% 0% 0% 0% 0%.% .% .% 0% 0% 0% 0%.% .% .% 0% 0% 0% 0%.% .% .% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

41% 41% 41% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% .% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%

91% 91% 91% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% .% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

Page 228: 2014 Millennial Survey Regions and Countries Dataset

2% 2% 2% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%4% 4% 4% 0% 0% 0% 0%3% 3% 3% 0% 0% 0% 0%

16% 16% 16% 0% 0% 0% 0%23% 23% 23% 0% 0% 0% 0%35% 35% 35% 0% 0% 0% 0%15% 15% 15% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%

Table qNICS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar mensual.

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%40% 40% 40% 0% 0% 0% 0%37% 37% 37% 0% 0% 0% 0%7% 7% 7% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

15% 15% 15% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

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COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

95% 95% 95% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

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1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

92% 92% 92% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%

Table qPANS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%34% 34% 34% 0% 0% 0% 0%23% 23% 23% 0% 0% 0% 0%8% 8% 8% 0% 0% 0% 0%

10% 10% 10% 0% 0% 0% 0%6% 6% 6% 0% 0% 0% 0%6% 6% 6% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

13% 13% 13% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

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1% 1% 1% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

13% 13% 13% 0% 0% 0% 0%20% 20% 20% 0% 0% 0% 0%24% 24% 24% 0% 0% 0% 0%4% 4% 4% 0% 0% 0% 0%

26% 26% 26% 0% 0% 0% 0%10% 10% 10% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% .% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%

25% 25% 25% 0% 0% 0% 0%51% 51% 51% 0% 0% 0% 0%19% 19% 19% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

Table qELSS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar mensual.

COUNTRIESLatAM Hispam Central America US UK DE SP

Page 232: 2014 Millennial Survey Regions and Countries Dataset

150 150 150 0% 0% 0% 0%16% 16% 16% 0% 0% 0% 0%37% 37% 37% 0% 0% 0% 0%10% 10% 10% 0% 0% 0% 0%6% 6% 6% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

26% 26% 26% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% .% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%8% 8% 8% 0% 0% 0% 0%3% 3% 3% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

82% 82% 82% 0% 0% 0% 0%.% .% .% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%3% 3% 3% 0% 0% 0% 0%

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COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

10% 10% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

84% 84% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

Table qURUS1 - Indique cuál de las siguientes categorías representa mejor su ingreso familiar anual.

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%22% 22% 0% 0% 0% 0% 0%12% 12% 0% 0% 0% 0% 0%8% 8% 0% 0% 0% 0% 0%6% 6% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%2% 2% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

46% 46% 0% 0% 0% 0% 0%

Page 234: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%

42% 42% 0% 0% 0% 0% 0%10% 10% 0% 0% 0% 0% 0%31% 31% 0% 0% 0% 0% 0%12% 12% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50019% 20% 23% 22% 13% 11% 8%81% 80% 77% 78% 87% 89% 92%

Table QKidsorNoKids - Are you a parent or guardian of any children in any of the following age categories? Please select all that apply.

COUNTRIESLatAM Hispam Central America US UK DE SP

Page 235: 2014 Millennial Survey Regions and Countries Dataset

4201 3701 750 1000 501 500 50031% 31% 38% 25% 23% 18% 18%66% 64% 53% 73% 76% 80% 80%4% 4% 9% 2% 2% 2% 2%

COUNTRIESLatAM Hispam Central America US UK DE SP

500 500 0% 0% 0% 0% 0%31% 31% 0% 0% 0% 0% 0%33% 33% 0% 0% 0% 0% 0%10% 10% 0% 0% 0% 0% 0%25% 25% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

500 500 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

64% 64% 0% 0% 0% 0% 0%34% 34% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

Page 236: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

500 0% 0% 0% 0% 0% 0%31% 0% 0% 0% 0% 0% 0%47% 0% 0% 0% 0% 0% 0%12% 0% 0% 0% 0% 0% 0%10% 0% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

500 0% 0% 0% 0% 0% 0%26% 0% 0% 0% 0% 0% 0%41% 0% 0% 0% 0% 0% 0%31% 0% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

500 500 0% 0% 0% 0% 0%37% 37% 0% 0% 0% 0% 0%30% 30% 0% 0% 0% 0% 0%9% 9% 0% 0% 0% 0% 0%

24% 24% 0% 0% 0% 0% 0%

Page 237: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

500 500 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

35% 35% 0% 0% 0% 0% 0%60% 60% 0% 0% 0% 0% 0%5% 5% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%14% 14% 0% 0% 0% 0% 0%64% 64% 0% 0% 0% 0% 0%13% 13% 0% 0% 0% 0% 0%8% 8% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

32% 32% 0% 0% 0% 0% 0%67% 67% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

Page 238: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 0% 500 0%0% 0% 0% 0% 0% 36% 0%0% 0% 0% 0% 0% 50% 0%0% 0% 0% 0% 0% 1% 0%0% 0% 0% 0% 0% 13% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 0% 500 0%0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 76% 0%0% 0% 0% 0% 0% 24% 0%0% 0% 0% 0% 0% .% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

501 501 0% 0% 0% 0% 0%17% 17% 0% 0% 0% 0% 0%55% 55% 0% 0% 0% 0% 0%17% 17% 0% 0% 0% 0% 0%11% 11% 0% 0% 0% 0% 0%

Page 239: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

501 501 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

33% 33% 0% 0% 0% 0% 0%65% 65% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%37% 37% 0% 0% 0% 0% 0%30% 30% 0% 0% 0% 0% 0%8% 8% 0% 0% 0% 0% 0%

25% 25% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

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39% 39% 0% 0% 0% 0% 0%61% 61% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 0% 0% 5000% 0% 0% 0% 0% 0% 40%0% 0% 0% 0% 0% 0% 39%0% 0% 0% 0% 0% 0% 5%0% 0% 0% 0% 0% 0% 16%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 0% 0% 5000% 0% 0% 0% 0% 0% 6%0% 0% 0% 0% 0% 0% 54%0% 0% 0% 0% 0% 0% 39%0% 0% 0% 0% 0% 0% .%

COUNTRIESLatAM Hispam Central America US UK DE SP

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0% 0% 0% 0% 501 0% 0%0% 0% 0% 0% 34% 0% 0%0% 0% 0% 0% 50% 0% 0%0% 0% 0% 0% 8% 0% 0%0% 0% 0% 0% 8% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 501 0% 0%0% 0% 0% 0% .% 0% 0%0% 0% 0% 0% 56% 0% 0%0% 0% 0% 0% 42% 0% 0%0% 0% 0% 0% 2% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

250 250 0% 0% 0% 0% 0%30% 30% 0% 0% 0% 0% 0%34% 34% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%

32% 32% 0% 0% 0% 0% 0%

Page 242: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

250 250 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%

33% 33% 0% 0% 0% 0% 0%63% 63% 0% 0% 0% 0% 0%1% 1% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%4% 4% 4% 0% 0% 0% 0%

17% 17% 17% 0% 0% 0% 0%72% 72% 72% 0% 0% 0% 0%7% 7% 7% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%16% 16% 16% 0% 0% 0% 0%77% 77% 77% 0% 0% 0% 0%7% 7% 7% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

Page 243: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%38% 38% 0% 0% 0% 0% 0%17% 17% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%

42% 42% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%

61% 61% 0% 0% 0% 0% 0%32% 32% 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

149 149 149 0% 0% 0% 0%49% 49% 49% 0% 0% 0% 0%8% 8% 8% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

41% 41% 41% 0% 0% 0% 0%

Page 244: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%12% 12% 12% 0% 0% 0% 0%74% 74% 74% 0% 0% 0% 0%11% 11% 11% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%77% 77% 77% 0% 0% 0% 0%9% 9% 9% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

15% 15% 15% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%7% 7% 7% 0% 0% 0% 0%

74% 74% 74% 0% 0% 0% 0%17% 17% 17% 0% 0% 0% 0%

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2% 2% 2% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%57% 57% 57% 0% 0% 0% 0%24% 24% 24% 0% 0% 0% 0%7% 7% 7% 0% 0% 0% 0%

13% 13% 13% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%

87% 87% 87% 0% 0% 0% 0%10% 10% 10% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%

Page 246: 2014 Millennial Survey Regions and Countries Dataset

53% 53% 53% 0% 0% 0% 0%18% 18% 18% 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%

26% 26% 26% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

150 150 150 0% 0% 0% 0%2% 2% 2% 0% 0% 0% 0%

78% 78% 78% 0% 0% 0% 0%19% 19% 19% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%34% 34% 0% 0% 0% 0% 0%17% 17% 0% 0% 0% 0% 0%3% 3% 0% 0% 0% 0% 0%

46% 46% 0% 0% 0% 0% 0%

COUNTRIES

Page 247: 2014 Millennial Survey Regions and Countries Dataset

LatAM Hispam Central America US UK DE SP

300 300 0% 0% 0% 0% 0%4% 4% 0% 0% 0% 0% 0%

42% 42% 0% 0% 0% 0% 0%54% 54% 0% 0% 0% 0% 0%.% .% 0% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 1000 0% 0% 0%0% 0% 0% 36% 0% 0% 0%0% 0% 0% 53% 0% 0% 0%0% 0% 0% 2% 0% 0% 0%0% 0% 0% 9% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 1000 0% 0% 0%0% 0% 0% .% 0% 0% 0%0% 0% 0% 62% 0% 0% 0%0% 0% 0% 38% 0% 0% 0%0% 0% 0% 0% 0% 0% 0%

Page 248: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 501 500 5000% 0% 0% 0% 34% 36% 40%0% 0% 0% 0% 50% 50% 39%0% 0% 0% 0% 8% 1% 5%0% 0% 0% 0% 8% 13% 16%

COUNTRIESLatAM Hispam Central America US UK DE SP

0% 0% 0% 0% 501 500 5000% 0% 0% 0% .% 0% 6%0% 0% 0% 0% 56% 76% 54%0% 0% 0% 0% 42% 24% 39%0% 0% 0% 0% 2% .% .%

COUNTRIESLatAM Hispam Central America US UK DE SP

4200 3700 749 0% 0% 0% 0%30% 29% 48% 0% 0% 0% 0%41% 38% 15% 0% 0% 0% 0%12% 12% 16% 0% 0% 0% 0%16% 20% 20% 0% 0% 0% 0%

Page 249: 2014 Millennial Survey Regions and Countries Dataset

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 0% 0% 0% 0%11% 3% 8% 0% 0% 0% 0%45% 47% 78% 0% 0% 0% 0%42% 49% 13% 0% 0% 0% 0%1% 1% 1% 0% 0% 0% 0%

COUNTRIESLatAM Hispam Central America US UK DE SP

4200 3700 749 1000 501 500 50030% 29% 48% 36% 34% 36% 40%41% 38% 15% 53% 50% 50% 39%12% 12% 16% 2% 8% 1% 5%16% 20% 20% 9% 8% 13% 16%

COUNTRIESLatAM Hispam Central America US UK DE SP

4201 3701 750 1000 501 500 50011% 3% 8% .% .% 0% 6%45% 47% 78% 62% 56% 76% 54%42% 49% 13% 38% 42% 24% 39%1% 1% 1% 0% 2% .% .%

Page 250: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5000% 0% 0% 0% 0% 0% 0% 100%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 100% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 100% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 100% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 100% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

100% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 100% 0% 0% 0% 0%0% 100% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

Page 251: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5005% 7% 9% 8% 14% 12% 6% 9%8% 10% 8% 8% 7% 8% 8% 7%

10% 10% 7% 6% 6% 7% 8% 9%8% 4% 7% 9% 4% 4% 8% 7%8% 3% 6% 8% 4% 4% 7% 5%8% 10% 6% 4% 2% 3% 4% 9%7% 5% 8% 6% 1% 6% 10% 8%9% 10% 11% 15% 23% 12% 11% 9%6% 10% 7% 4% 7% 13% 6% 7%7% 7% 8% 9% 11% 6% 8% 8%8% 10% 9% 9% 6% 7% 8% 10%8% 6% 8% 7% 3% 5% 9% 6%9% 8% 6% 6% 12% 13% 6% 7%

24.05 24.09 24.02 23.99 24.12 24.24 24.05 24.013.71 3.83 3.77 3.71 3.98 4.03 3.67 3.75

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50054% 49% 50% 50% 39% 44% 52% 53%46% 51% 50% 50% 61% 56% 48% 47%0% 0% 0% 0% 0% 0% 0% 0%

Page 252: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50050% 50% 50% 50% 50% 50% 50% 50%50% 50% 50% 50% 50% 50% 50% 50%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5000% 0% 0% 0% 0% 0% 0% 0%5% 1% 8% 2% 2% 0% 4% 3%8% 0% 4% 3% 4% .% 14% 11%

18% 0% 6% 5% 2% 1% 7% 9%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%3% 0% 7% 2% 4% 0% 6% 5%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%5% 0% 3% 4% 0% 0% 3% 5%7% 0% 9% 3% 5% 0% 2% 10%2% 0% 1% 1% 1% 0% 2% 5%0% 0% 0% 0% 0% 0% 0% 0%

13% 3% 9% 10% 3% 1% 13% 23%60% 97% 69% 73% 80% 98% 64% 49%0% 0% 0% 0% 0% 0% 0% 0%

Page 253: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50047% 75% 78% 65% 74% 77% 41% 43%45% 21% 16% 30% 18% 20% 46% 46%8% 3% 4% 4% 6% 3% 10% 11%.% 1% 1% 1% 1% .% 2% 1%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50080% 85% 77% 82% 81% 82% 79% 78%44% 41% 48% 41% 43% 43% 37% 56%8% 5% 7% 8% 3% 7% 6% 10%

60% 59% 39% 49% 42% 48% 66% 60%10% 9% 9% 6% 8% 11% 3% 10%31% 17% 16% 21% 24% 25% 36% 26%30% 23% 33% 30% 23% 28% 16% 25%19% 31% 35% 43% 48% 25% 41% 11%14% 23% 32% 15% 23% 28% 10% 19%4% 7% 4% 6% 5% 4% 5% 5%

MX PA CR NI GT EC BR AR

500 150 150 150 150 300 500 50060% 76% 75% 74% 70% 77% 61% 48%37% 23% 24% 23% 25% 21% 33% 45%2% 1% 1% 2% 2% 1% 4% 7%1% 0% 0% 1% 3% 1% 1% .%

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MX PA CR NI GT EC BR AR

500 150 150 150 150 300 500 5002% 2% 9% 2% 4% 4% 7% 6%7% 3% 1% 2% 9% 3% 8% 7%

39% 34% 35% 43% 38% 40% 43% 35%17% 15% 28% 19% 20% 20% 17% 25%31% 41% 24% 29% 19% 27% 20% 19%3% 4% 3% 5% 8% 5% 5% 6%.% 1% 1% 0% 1% 1% .% 1%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50049% 32% 37% 50% 53% 53% 50% 63%51% 68% 63% 50% 47% 47% 50% 37%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%

Page 255: 2014 Millennial Survey Regions and Countries Dataset

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50073% 69% 89% 64% 52% 53% 67% 58%27% 31% 11% 36% 48% 47% 33% 42%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50012% 14% 11% 10% 9% 14% 4% 10%15% 25% 25% 23% 18% 8% 10% 14%1% 1% 2% 1% 4% 1% 2% 2%1% 1% 3% 1% 2% 2% 1% 2%4% 5% 4% 7% 8% 5% 5% 4%3% 0% 2% 1% 3% 7% 3% 4%7% 15% 9% 13% 8% 11% 12% 8%

15% 10% 6% 4% 8% 7% 18% 15%22% 11% 15% 18% 18% 19% 14% 14%8% 4% 13% 8% 6% 10% 12% 7%1% 1% 1% 1% 1% 1% 1% 1%2% 1% 1% 1% 2% 2% 1% 3%

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4% 7% 4% 3% 6% 6% 5% 6%7% 7% 7% 6% 4% 6% 11% 10%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50010% 15% 19% 12% 17% 12% 9% 12%21% 22% 14% 22% 12% 19% 16% 19%2% 2% 3% 2% 3% 3% 2% 2%3% 1% 2% 1% 4% 3% 2% 2%5% 5% 5% 7% 7% 5% 6% 7%5% 1% 2% 1% 4% 6% 5% 4%

11% 17% 13% 17% 11% 7% 14% 11%13% 8% 6% 9% 11% 9% 9% 12%11% 10% 6% 9% 7% 14% 9% 7%7% 4% 8% 10% 5% 10% 8% 8%2% 3% 1% 1% .% 1% 1% 1%2% 1% 3% 0% 7% 1% 2% 4%8% 9% 12% 7% 9% 7% 11% 7%2% 3% 5% 3% 3% 2% 5% 3%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5001% 0% 2% 3% 1% 3% 2% 3%1% 1% 1% 3% 4% 3% 2% 4%

25% 15% 17% 18% 18% 16% 13% 18%21% 11% 15% 18% 12% 15% 17% 19%4% 2% 11% 2% 5% 7% 5% 5%7% 9% 5% 7% 7% 5% 9% 8%

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2% 4% 8% 1% 5% 3% 1% 3%3% 3% 2% 1% 1% 2% 2% 3%3% 1% 2% 1% 3% 2% 2% 2%4% 1% 3% 1% .% 1% 6% 3%6% 14% 13% 8% 10% 10% 12% 8%

14% 16% 9% 15% 10% 13% 19% 11%3% 2% 3% 1% 4% 2% 2% 3%8% 23% 9% 23% 22% 17% 7% 10%

Table q14 - When it comes to the educational system in your country, how strongly do you agree or disagree with the following statement? I have had access to all the educational opportunities I have desired.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50026% 31% 38% 39% 30% 34% 20% 38%45% 45% 39% 45% 40% 44% 40% 44%21% 17% 19% 11% 17% 16% 23% 15%8% 6% 5% 5% 13% 6% 18% 3%

Table q15 - When it comes to the educational system in your country, how strongly do you agree or disagree with the following statement? My education has prepared me for my professional future in today’s technology driven workplace.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50023% 34% 28% 46% 40% 43% 19% 18%51% 48% 49% 42% 39% 46% 36% 44%18% 12% 17% 10% 14% 8% 23% 27%8% 5% 5% 2% 7% 3% 22% 11%

Page 258: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5007% 18% 25% 26% 8% 29% 7% 12%

35% 53% 54% 51% 48% 44% 18% 45%43% 23% 18% 19% 31% 21% 39% 33%14% 6% 2% 3% 11% 5% 36% 9%0% 0% 1% 1% 3% .% .% .%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50075% 62% 43% 56% 59% 56% 53% 75%78% 63% 34% 58% 63% 58% 70% 62%21% 10% 37% 9% 15% 21% 54% 15%63% 51% 32% 52% 52% 53% 72% 43%37% 31% 30% 33% 31% 33% 68% 30%5% 3% 5% 5% 6% 4% 8% 10%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50014% 45% 33% 33% 26% 40% 21% 13%48% 37% 43% 41% 44% 41% 48% 45%29% 12% 17% 17% 19% 17% 22% 30%9% 6% 7% 8% 11% 3% 8% 12%

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Table q19 - Please think a little more about where you personally would want to work. If you were to apply to work for a company, please pick the three things that would be the most important elements that the company needs to demonstrate.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50027% 28% 24% 14% 5% 19% 35% 27%17% 23% 23% 29% 19% 19% 25% 18%34% 28% 30% 22% 25% 29% 28% 42%8% 11% 11% 12% 9% 8% 16% 8%

26% 28% 25% 30% 35% 28% 19% 19%13% 18% 19% 12% 11% 16% 13% 12%10% 12% 13% 16% 14% 8% 9% 4%15% 17% 19% 15% 22% 23% 14% 12%8% 10% 8% 11% 10% 7% 10% 6%

46% 32% 27% 36% 44% 27% 34% 47%9% 14% 12% 13% 11% 10% 7% 10%9% 12% 12% 14% 14% 15% 5% 10%7% 16% 16% 9% 17% 15% 33% 10%

37% 27% 31% 33% 30% 39% 21% 46%13% 11% 17% 18% 17% 21% 11% 14%20% 13% 12% 15% 15% 15% 18% 16%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5009% 4% 3% 2% 8% 6% 11% 6%6% 4% 6% 5% 4% 8% 5% 6%1% 3% 4% 5% 3% 2% 2% 2%8% 3% 9% 5% 6% 6% 25% 10%

10% 2% 3% 2% 5% 7% 11% 8%4% 8% 6% 5% 7% 6% 12% 6%

Page 260: 2014 Millennial Survey Regions and Countries Dataset

4% 1% 3% 2% 3% 3% 4% 3%20% 6% 16% 17% 15% 18% 19% 14%10% 10% 11% 10% 6% 10% 13% 10%12% 6% 8% 7% 7% 6% 8% 6%7% 5% 6% 9% 8% 10% 11% 7%5% 1% 2% 4% 4% 5% 2% 6%6% 3% 3% 3% 6% 5% 3% 6%4% 1% 4% 4% 1% 2% 8% 6%6% 6% 3% 7% 11% 5% 11% 8%

22% 15% 15% 13% 16% 16% 35% 17%8% 5% 5% 5% 6% 8% 9% 5%7% 31% 22% 12% 7% 13% 6% 7%7% 3% 8% 3% 6% 6% 8% 8%

29% 21% 21% 31% 21% 26% 34% 25%3% 3% 8% 2% 3% 4% 9% 9%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50051% 55% 48% 50% 60% 58% 46% 43%34% 30% 26% 29% 22% 26% 31% 33%12% 11% 18% 15% 11% 11% 17% 16%3% 4% 8% 7% 8% 5% 7% 8%

MX PA CR NI GT EC BR AR

422 129 111 118 125 255 382 3772% 1% 3% 1% 2% 2% 5% 3%

17% 6% 5% 1% 7% 10% 12% 14%20% 12% 22% 13% 19% 20% 26% 26%

Page 261: 2014 Millennial Survey Regions and Countries Dataset

21% 33% 33% 40% 29% 25% 26% 39%5% 5% 1% 2% 7% 5% 7% 4%

62% 42% 43% 41% 41% 39% 67% 51%45% 15% 22% 19% 30% 32% 57% 56%10% 1% 5% 3% 4% 7% 28% 15%

MX PA CR NI GT EC BR AR

422 129 111 118 125 255 382 37740% 21% 33% 34% 29% 28% 37% 34%54% 40% 33% 48% 40% 39% 52% 47%42% 18% 15% 7% 21% 22% 54% 49%16% 5% 10% 15% 6% 10% 20% 21%11% 7% 5% 9% 12% 8% 21% 13%46% 26% 19% 11% 21% 30% 60% 47%17% 15% 11% 7% 10% 16% 37% 19%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50041% 28% 18% 46% 34% 35% 29% 20%40% 36% 47% 34% 40% 40% 45% 42%14% 27% 21% 11% 16% 18% 19% 28%5% 9% 13% 8% 11% 7% 7% 10%

Page 262: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5008% 28% 29% 29% 16% 42% 14% 21%

90% 56% 55% 58% 74% 45% 81% 65%2% 16% 17% 12% 10% 13% 5% 14%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50017% 49% 33% 29% 21% 39% 27% 18%77% 37% 46% 46% 61% 44% 63% 60%7% 14% 21% 25% 18% 17% 9% 22%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50059% 92% 69% 81% 61% 88% 76% 62%41% 8% 31% 19% 39% 12% 24% 38%

Page 263: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5008% 10% 6% 5% 11% 12% 9% 7%1% 1% 3% 0% 0% 1% 1% 0%.% 5% 2% 5% 1% 3% 5% 1%1% 2% 0% 2% 1% 3% 1% 0%3% 0% 1% 1% 1% 1% 3% 4%9% 15% 18% 22% 14% 11% 4% 5%.% 0% 0% 1% 1% .% 1% 0%0% 0% 1% 0% 1% 2% .% 0%3% 3% 5% 4% 3% 5% 11% 5%8% 11% 11% 14% 6% 10% 2% 20%1% 3% 5% 1% 2% 4% 0% .%

31% 19% 12% 11% 14% 16% 46% 26%18% 18% 9% 4% 22% 14% 5% 20%1% 5% 1% 2% 1% 2% 3% 1%

13% 5% 19% 23% 20% 12% 2% 6%1% 1% 1% 1% 1% 1% 4% 1%3% 1% 4% 1% 0% 2% 3% 2%.% 2% 1% 2% .% 1% .% 1%4% 3% 8% 5% 5% 7% 12% 5%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50012% 38% 15% 32% 7% 48% 23% 18%83% 48% 71% 56% 87% 39% 67% 71%5% 15% 14% 13% 6% 13% 10% 11%

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MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50013% 23% 11% 22% 12% 9% 18% 16%24% 17% 10% 17% 9% 15% 24% 18%30% 42% 25% 32% 30% 30% 23% 30%19% 29% 22% 43% 24% 22% 22% 24%24% 23% 21% 29% 13% 22% 21% 18%24% 27% 24% 42% 30% 24% 25% 18%16% 19% 14% 19% 19% 27% 21% 17%16% 25% 26% 24% 24% 25% 19% 16%23% 43% 33% 41% 26% 27% 27% 28%32% 20% 23% 25% 23% 27% 38% 40%25% 22% 15% 17% 16% 13% 23% 17%15% 29% 17% 22% 26% 22% 23% 21%16% 13% 11% 10% 12% 9% 17% 9%11% 14% 9% 19% 12% 11% 20% 14%13% 13% 8% 14% 12% 11% 22% 17%2% 8% 4% 4% 5% 8% 3% 4%

20% 2% 3% 1% 7% 2% 18% 18%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50018% 9% 5% 8% 10% 11% 19% 12%18% 7% 4% 12% 13% 10% 17% 13%56% 35% 16% 29% 38% 24% 57% 49%22% 12% 10% 17% 19% 14% 24% 7%9% 4% 8% 10% 4% 6% 7% 15%

19% 18% 13% 15% 15% 18% 13% 15%49% 27% 14% 24% 22% 18% 49% 39%37% 10% 13% 15% 12% 13% 29% 28%29% 18% 22% 16% 13% 14% 56% 72%45% 15% 11% 17% 15% 16% 22% 39%4% 8% 9% 9% 10% 9% 7% 4%7% 11% 5% 8% 7% 7% 9% 3%

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47% 20% 14% 14% 17% 15% 35% 51%27% 5% 14% 12% 13% 8% 33% 23%51% 39% 33% 27% 26% 32% 59% 45%18% 8% 10% 11% 9% 11% 16% 12%85% 61% 46% 48% 61% 54% 83% 75%2% 8% 6% 5% 4% 5% 3% 2%0% 1% 1% 1% .% .% .% 1%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50081% 65% 64% 51% 61% 41% 58% 73%15% 24% 21% 37% 26% 44% 35% 19%5% 11% 15% 12% 13% 15% 7% 8%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50011% 50% 17% 17% 20% 19% 17% 15%17% 13% 13% 22% 20% 21% 58% 27%6% 5% 12% 13% 5% 9% 2% 3%3% 6% 12% 10% 7% 9% 2% 5%

20% 10% 11% 15% 13% 15% 7% 13%7% 11% 27% 14% 9% 8% 7% 4%

14% 11% 12% 7% 17% 12% 9% 21%4% 4% 9% 3% 12% 5% 4% 8%

76% 50% 38% 52% 58% 43% 70% 64%4% 3% 9% 5% 6% 5% 4% 1%6% 1% 5% 7% 1% 10% 3% 2%

29% 33% 31% 33% 22% 38% 15% 30%

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3% 2% 3% 2% 5% 4% 2% 4%.% 1% 1% 0% 2% 1% 1% 1%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5008% 35% 20% 40% 22% 31% 18% 14%

51% 61% 56% 50% 51% 56% 55% 48%30% 3% 20% 9% 15% 11% 18% 30%11% 0% 4% 1% 12% 1% 9% 9%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50043% 44% 35% 40% 43% 33% 43% 36%23% 53% 29% 38% 38% 30% 38% 32%20% 17% 23% 20% 23% 25% 31% 22%15% 17% 26% 22% 23% 16% 23% 17%40% 15% 10% 13% 18% 18% 35% 35%13% 7% 5% 14% 10% 10% 24% 19%23% 15% 16% 14% 13% 17% 21% 20%1% 5% 8% 3% 5% 3% 4% 2%

Page 267: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

115 80 43 56 55 91 191 16328% 16% 14% 12% 22% 14% 40% 63%1% 0% 2% 2% 3% 0% 10% 9%

55% 12% 26% 28% 18% 32% 84% 72%21% 4% 10% 11% 8% 35% 32% 30%20% 26% 16% 20% 24% 17% 15% 14%12% 18% 30% 16% 6% 4% 11% 4%4% 1% 5% 11% 6% 5% 6% 7%2% 3% 2% 2% 4% 2% 3% 2%3% 1% 12% 2% 4% 56% 6% 7%2% 4% 0% 2% 4% 1% 1% 2%2% 1% 0% 2% 27% 0% .% 1%1% 0% 0% 0% 5% 0% 1% 1%0% 3% 0% 2% 2% 2% 5% 1%

67% 21% 28% 12% 36% 13% 40% 23%1% 2% 2% 54% 6% 0% 3% 0%9% 71% 10% 27% 19% 2% 4% 4%3% 0% 5% 0% 2% 1% 11% 11%4% 4% 0% 0% 2% 6% 10% 11%8% 10% 2% 6% 6% 6% 7% 4%7% 4% 2% 2% 4% 5% 24% 19%

12% 16% 4% 27% 20% 8% 13% 18%12% 12% 28% 5% 18% 12% 3% 9%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50025% 34% 30% 41% 32% 29% 13% 24%8% 17% 20% 18% 12% 13% 25% 6%

16% 5% 8% 7% 4% 5% 9% 8%26% 15% 16% 21% 15% 24% 21% 33%6% 6% 6% 8% 10% 9% 7% 4%2% 5% 7% 5% 6% 5% 8% 4%

19% 13% 24% 9% 20% 16% 37% 24%5% 10% 14% 15% 9% 10% 7% 4%

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9% 7% 13% 6% 12% 11% 11% 8%34% 23% 17% 21% 15% 30% 26% 33%27% 36% 25% 28% 42% 26% 32% 23%55% 65% 57% 60% 67% 49% 43% 62%15% 14% 15% 14% 9% 29% 15% 18%53% 51% 48% 46% 45% 43% 46% 49%

Table q38 - Some people say that It is easier to raise money for humanitarian crises caused by natural disaster rather than crises caused by war. Some people find this idea acceptable. Others disagree. Do you think this idea is:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50066% 50% 48% 60% 52% 48% 54% 51%27% 39% 38% 31% 37% 40% 32% 30%8% 11% 13% 9% 11% 13% 14% 20%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50031% 33% 43% 41% 23% 29% 32% 37%43% 24% 24% 25% 33% 36% 27% 33%24% 37% 25% 28% 37% 28% 38% 24%2% 6% 8% 6% 7% 8% 4% 5%

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MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5007% 7% 7% 15% 7% 13% 8% 3%

41% 20% 18% 22% 16% 28% 35% 32%37% 42% 34% 25% 28% 30% 37% 39%12% 21% 25% 19% 24% 15% 15% 20%3% 10% 16% 19% 25% 15% 5% 6%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50016% 20% 15% 22% 13% 24% 17% 13%41% 35% 30% 39% 25% 28% 24% 44%27% 26% 22% 17% 30% 27% 38% 25%13% 4% 6% 5% 9% 9% 14% 9%4% 15% 26% 17% 23% 12% 7% 10%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50083% 75% 55% 67% 67% 70% 71% 59%14% 17% 30% 22% 18% 20% 22% 31%3% 7% 15% 11% 15% 10% 7% 10%

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MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50050% 54% 39% 55% 51% 54% 51% 32%41% 29% 37% 27% 30% 33% 37% 50%10% 17% 24% 18% 19% 13% 12% 18%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5007% 6% 8% 12% 8% 10% 2% 6%3% 6% 8% 6% 7% 7% 11% 6%1% 0% 1% 0% .% 1% 1% .%1% 3% 3% 3% 2% 4% 2% 2%2% 0% 1% 2% 2% 3% 2% 1%1% 2% 2% 3% 4% 3% 4% 2%4% 6% 7% 3% 2% 4% 9% 6%1% 1% 3% 1% 3% 1% 1% 1%1% 4% 4% 3% 4% 3% 2% 1%

17% 9% 11% 7% 4% 9% 9% 12%23% 25% 9% 17% 27% 18% 23% 23%17% 25% 26% 20% 18% 17% 14% 15%.% 3% 3% 1% .% .% 2% 1%

11% 1% 2% 8% 5% 8% 4% 9%9% 9% 7% 11% 10% 9% 15% 11%1% 1% 3% 4% 3% 4% 2% 3%

Page 271: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

500 150 150 150 150 300 500 50025% 27% 17% 23% 17% 22% 36% 32%14% 15% 21% 16% 10% 15% 17% 13%35% 21% 24% 20% 19% 17% 39% 38%17% 12% 10% 11% 7% 7% 42% 17%50% 32% 23% 30% 36% 30% 48% 47%48% 40% 23% 27% 40% 30% 49% 50%33% 38% 24% 33% 31% 23% 29% 27%23% 7% 13% 12% 21% 11% 48% 30%32% 16% 16% 11% 19% 13% 33% 29%17% 7% 14% 10% 8% 14% 41% 17%3% 1% 3% 1% 5% 3% 11% 2%

56% 29% 19% 31% 30% 29% 55% 52%28% 13% 13% 11% 18% 17% 41% 28%29% 21% 17% 29% 21% 25% 24% 14%3% 5% 3% 8% 6% 5% 3% 5%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50029% 31% 18% 21% 17% 23% 36% 35%13% 17% 18% 15% 11% 16% 14% 14%31% 26% 26% 19% 25% 19% 32% 34%14% 15% 13% 9% 8% 10% 33% 14%47% 31% 20% 32% 36% 30% 40% 40%52% 44% 30% 32% 36% 30% 47% 51%29% 36% 27% 28% 33% 23% 20% 21%23% 13% 14% 13% 18% 12% 36% 29%28% 18% 17% 15% 19% 13% 29% 28%13% 10% 7% 8% 9% 10% 27% 15%2% 1% 4% 0% 6% 5% 9% 2%

48% 26% 17% 28% 28% 26% 41% 41%20% 14% 9% 12% 14% 14% 23% 19%29% 27% 16% 26% 22% 24% 17% 16%2% 6% 6% 8% 8% 8% 3% 6%

Page 272: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50051% 41% 49% 57% 40% 50% 56% 33%35% 31% 34% 22% 38% 26% 22% 36%14% 27% 17% 21% 22% 24% 22% 31%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50054% 61% 45% 52% 50% 52% 54% 51%32% 19% 35% 28% 28% 26% 26% 22%13% 20% 20% 21% 22% 22% 19% 27%

Page 273: 2014 Millennial Survey Regions and Countries Dataset

Table g46[{q48}].mA - National companies (Headquartered in your country) : Based on your experience, have the following types of companies made a difference in the communities where they operate?

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50054% 52% 54% 52% 50% 50% 57% 53%31% 25% 28% 22% 27% 27% 23% 22%15% 23% 17% 27% 23% 23% 20% 24%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50062% 51% 44% 44% 44% 55% 56% 56%25% 21% 35% 27% 33% 22% 25% 21%13% 29% 21% 29% 23% 22% 18% 23%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50025% 12% 18% 13% 6% 18% 32% 27%30% 21% 23% 17% 12% 14% 38% 35%19% 29% 21% 23% 18% 18% 26% 15%

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40% 29% 27% 25% 32% 33% 29% 40%77% 55% 40% 58% 54% 48% 69% 73%59% 42% 25% 42% 30% 32% 63% 58%46% 50% 24% 42% 39% 29% 59% 47%30% 20% 20% 24% 22% 18% 41% 25%39% 39% 33% 35% 30% 31% 45% 35%2% 4% 3% 5% 3% 6% 4% 4%.% 1% 5% 4% 5% 3% 2% 4%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50021% 29% 19% 21% 22% 27% 27% 27%4% 7% 4% 4% 7% 6% 5% 4%

12% 20% 20% 11% 16% 14% 11% 16%6% 11% 13% 11% 6% 10% 6% 4%

12% 9% 5% 20% 9% 9% 10% 9%11% 8% 11% 8% 10% 11% 4% 7%5% 1% 7% 3% 7% 3% 4% 4%

27% 11% 14% 13% 14% 15% 28% 22%1% 1% 4% 3% 1% 2% 1% 1%2% 3% 4% 5% 8% 3% 4% 4%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5003% 8% 13% 14% 14% 18% 5% 3%

10% 11% 11% 7% 12% 13% 12% 9%39% 52% 34% 46% 35% 41% 43% 46%46% 27% 34% 30% 32% 22% 39% 38%

Page 275: 2014 Millennial Survey Regions and Countries Dataset

2% 3% 8% 2% 6% 6% 1% 5%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50048% 55% 50% 44% 42% 43% 57% 44%42% 31% 26% 38% 37% 34% 32% 40%8% 5% 15% 10% 11% 17% 7% 10%2% 8% 9% 8% 10% 6% 4% 6%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 500

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71% 55% 53% 55% 63% 57% 72% 60%26% 36% 24% 29% 18% 28% 22% 30%1% 5% 15% 7% 11% 8% 2% 3%2% 5% 8% 8% 8% 8% 4% 6%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50065% 64% 58% 61% 62% 60% 66% 57%31% 25% 24% 28% 24% 26% 28% 32%2% 7% 11% 3% 8% 5% 3% 4%1% 5% 7% 7% 6% 8% 3% 7%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50071% 64% 59% 70% 61% 63% 71% 60%25% 27% 23% 17% 23% 27% 22% 29%3% 5% 10% 6% 7% 5% 3% 5%1% 5% 8% 8% 9% 6% 4% 5%

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MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50016% 46% 28% 36% 31% 32% 16% 15%17% 18% 22% 16% 21% 32% 19% 13%31% 19% 32% 20% 20% 20% 23% 28%36% 17% 18% 28% 27% 16% 43% 44%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50017% 44% 26% 33% 30% 34% 19% 17%17% 20% 26% 18% 25% 30% 17% 14%35% 22% 29% 26% 21% 19% 29% 31%31% 14% 19% 23% 24% 17% 35% 37%

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MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50018% 51% 33% 36% 30% 35% 23% 19%22% 21% 28% 19% 19% 28% 23% 23%34% 13% 26% 23% 29% 22% 27% 31%26% 15% 12% 22% 21% 15% 27% 26%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50017% 44% 31% 37% 27% 43% 21% 18%20% 23% 25% 23% 25% 25% 26% 20%34% 19% 29% 14% 19% 17% 28% 30%29% 13% 15% 26% 29% 15% 25% 32%

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Table g61[{q61}].mA - 'The company I work for is inclusive of people with disabilities (e.g. employment, product design for all, involvement with local disability groups)' : How important is each of the following?

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50043% 42% 41% 40% 43% 46% 51% 43%33% 28% 27% 26% 28% 29% 28% 23%10% 10% 16% 8% 6% 8% 7% 8%6% 8% 5% 7% 8% 5% 4% 6%9% 13% 12% 19% 16% 12% 9% 19%

Table g61[{q62}].mA - 'Companies I buy products and services from are inclusive of people with disabilities (e.g. employment, product design for all, involvement with local disability groups)' : How important is each of the following?

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50040% 49% 37% 41% 39% 51% 50% 40%36% 22% 30% 25% 28% 29% 32% 25%10% 9% 17% 6% 10% 7% 8% 11%4% 4% 5% 8% 6% 3% 2% 4%9% 17% 10% 19% 18% 10% 8% 20%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50034% 57% 41% 42% 42% 45% 27% 27%57% 38% 45% 47% 43% 45% 51% 53%

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9% 4% 11% 5% 8% 7% 15% 16%1% 1% 3% 6% 7% 2% 7% 5%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50046% 35% 27% 28% 32% 45% 62% 62%26% 16% 23% 14% 26% 25% 25% 23%8% 5% 13% 12% 9% 9% 8% 7%4% 5% 9% 13% 10% 8% 5% 4%8% 10% 5% 2% 3% 4% 11% 7%

18% 29% 29% 36% 27% 13% 8% 9%

Page 281: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50074% 42% 34% 35% 46% 46% 69% 63%14% 15% 28% 14% 22% 25% 19% 19%4% 8% 9% 5% 5% 7% 4% 4%2% 5% 7% 9% 4% 7% 3% 2%4% 7% 2% 5% 4% 4% 4% 4%7% 26% 23% 36% 23% 16% 11% 14%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50038% 33% 30% 19% 22% 35% 42% 20%25% 17% 17% 18% 19% 20% 20% 25%5% 3% 8% 9% 8% 9% 4% 3%2% 2% 4% 5% 5% 5% 2% 2%3% 8% 5% 3% 3% 5% 2% 2%

32% 40% 38% 49% 43% 27% 36% 49%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50082% 62% 59% 40% 50% 52% 78% 73%8% 8% 12% 9% 10% 16% 8% 8%2% 1% 11% 7% 5% 6% 4% 2%.% 3% 5% 2% 9% 5% 3% 2%1% 2% 3% 3% 4% 4% 2% 2%

Page 282: 2014 Millennial Survey Regions and Countries Dataset

10% 24% 13% 43% 23% 18% 12% 16%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50057% 62% 53% 69% 63% 57% 60% 56%8% 9% 11% 5% 14% 18% 14% 10%2% 2% 9% 7% 3% 10% 4% 3%2% 2% 5% 4% 5% 5% 3% 1%2% 5% 6% 3% 5% 2% 4% 3%

32% 21% 20% 18% 13% 13% 23% 29%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50048% 34% 27% 25% 29% 32% 45% 39%28% 21% 27% 16% 19% 20% 24% 24%1% 5% 5% 4% 7% 7% 5% 1%2% 3% 7% 9% 5% 9% 4% 3%.% 3% 3% 2% 2% 2% 1% 1%

25% 35% 33% 49% 41% 31% 31% 34%

Page 283: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50035% 39% 24% 14% 21% 36% 35% 28%24% 20% 27% 17% 24% 22% 23% 24%4% 3% 9% 6% 9% 9% 3% 3%2% 4% 6% 6% 6% 10% 2% 2%2% 3% 5% 4% 3% 3% 2% 3%

38% 33% 32% 57% 40% 25% 41% 43%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50028% 39% 31% 30% 29% 39% 27% 23%9% 9% 12% 8% 11% 17% 12% 7%3% 2% 7% 12% 8% 7% 5% 1%3% 3% 6% 5% 8% 5% 3% 3%1% 4% 4% 1% 7% 3% 2% 1%

57% 42% 42% 50% 40% 32% 56% 64%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50022% 31% 30% 24% 27% 27% 21% 17%33% 31% 30% 26% 30% 26% 38% 34%43% 23% 21% 20% 21% 19% 29% 25%52% 27% 24% 25% 29% 28% 42% 51%9% 13% 10% 19% 16% 11% 10% 11%7% 7% 13% 10% 7% 11% 8% 7%

Page 284: 2014 Millennial Survey Regions and Countries Dataset

10% 17% 15% 19% 21% 16% 18% 8%5% 8% 13% 14% 12% 15% 6% 5%3% 9% 9% 6% 4% 11% 5% 6%

10% 9% 5% 13% 7% 11% 12% 12%

Take a photo or videoPlay a video game Shop Order a taxiFind directionsConnect to another physical item (thermostat, car, fitness band, etc.)

6702 6702 6702 6702 6702 670217% 16% 8% 4% 8% 7%20% 16% 12% 5% 12% 9%22% 17% 14% 6% 17% 8%20% 16% 19% 9% 24% 9%7% 8% 14% 9% 14% 6%6% 11% 11% 17% 11% 8%6% 16% 23% 50% 14% 52%

Table g73[{q73}].mA - Look for a new job or career opportunities : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50012% 20% 14% 10% 16% 19% 14% 13%12% 10% 12% 5% 6% 14% 12% 12%13% 10% 13% 10% 12% 11% 10% 7%15% 14% 11% 10% 9% 10% 14% 11%10% 12% 10% 10% 11% 7% 11% 12%20% 17% 19% 11% 14% 13% 18% 14%17% 18% 21% 44% 33% 26% 21% 32%

Page 285: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50061% 53% 40% 31% 38% 41% 49% 55%19% 14% 14% 7% 16% 17% 19% 16%9% 12% 21% 16% 12% 20% 9% 8%4% 7% 10% 14% 12% 6% 7% 6%2% 5% 6% 8% 2% 6% 3% 6%3% 1% 4% 4% 6% 4% 4% 5%3% 8% 5% 20% 13% 7% 7% 6%

Table g73[{q75}].mA - 'Post an update, video or photo to a social network' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50028% 34% 26% 16% 29% 35% 21% 27%22% 16% 15% 13% 10% 13% 19% 16%22% 18% 17% 15% 16% 18% 18% 16%11% 13% 13% 13% 16% 12% 18% 13%6% 3% 13% 12% 3% 8% 7% 8%6% 7% 5% 8% 9% 4% 7% 9%5% 9% 12% 22% 18% 12% 10% 11%

MX PA CR NI GT EC BR AR

Page 286: 2014 Millennial Survey Regions and Countries Dataset

501 150 150 150 150 300 500 50036% 51% 51% 35% 42% 48% 27% 30%21% 19% 14% 15% 15% 16% 30% 21%17% 12% 9% 13% 10% 14% 17% 20%13% 4% 5% 8% 5% 7% 10% 10%4% 6% 8% 4% 9% 5% 4% 6%4% 2% 6% 7% 6% 4% 4% 4%5% 6% 8% 19% 13% 7% 9% 9%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50039% 48% 55% 46% 38% 43% 36% 46%22% 20% 10% 12% 20% 17% 20% 21%21% 11% 9% 12% 14% 18% 16% 13%8% 5% 7% 6% 8% 5% 13% 7%2% 6% 7% 6% 5% 5% 4% 4%4% 3% 6% 3% 6% 4% 6% 3%3% 7% 5% 15% 10% 6% 5% 6%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5005% 13% 11% 7% 10% 11% 9% 5%6% 9% 9% 3% 7% 14% 15% 4%8% 5% 12% 7% 5% 13% 15% 5%

10% 11% 12% 5% 8% 8% 18% 4%8% 10% 12% 8% 6% 7% 10% 5%

14% 10% 7% 7% 9% 5% 13% 12%49% 42% 36% 61% 55% 43% 21% 66%

Page 287: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50032% 34% 24% 18% 24% 28% 27% 25%25% 18% 17% 8% 14% 17% 24% 20%23% 17% 18% 17% 16% 25% 19% 23%9% 7% 18% 12% 15% 9% 12% 12%4% 5% 5% 5% 4% 6% 4% 5%2% 7% 5% 10% 4% 4% 4% 6%5% 13% 12% 29% 23% 10% 9% 8%

Table g73[{q80}].mA - 'Stream video content through a service such as iTunes, Netflix, Amazon, HBO Go, etc.' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5009% 19% 13% 8% 16% 16% 15% 7%

11% 7% 13% 6% 10% 12% 15% 5%15% 13% 15% 8% 9% 17% 15% 8%13% 7% 13% 7% 5% 10% 14% 7%10% 9% 11% 4% 9% 6% 6% 7%10% 4% 5% 7% 13% 8% 10% 10%32% 41% 31% 60% 38% 32% 26% 56%

Table g73[{q81}].mA - 'Make a financial transaction (payment, deposit, money transfer)' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

Page 288: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5007% 19% 15% 5% 11% 14% 9% 5%6% 4% 10% 2% 5% 13% 15% 6%

13% 8% 10% 4% 7% 13% 14% 6%17% 6% 13% 11% 9% 9% 16% 10%11% 8% 10% 5% 11% 9% 9% 12%12% 8% 6% 7% 11% 9% 7% 8%35% 47% 36% 65% 48% 33% 29% 53%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50027% 36% 24% 20% 28% 30% 33% 21%26% 17% 15% 11% 15% 19% 27% 26%19% 21% 18% 18% 18% 18% 14% 16%12% 3% 10% 9% 9% 11% 9% 13%6% 7% 11% 6% 4% 5% 5% 7%5% 5% 5% 3% 4% 5% 4% 6%6% 11% 16% 32% 21% 13% 8% 11%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50026% 37% 27% 20% 34% 30% 18% 19%19% 20% 16% 10% 6% 19% 19% 20%28% 21% 20% 18% 17% 22% 20% 26%

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16% 5% 17% 18% 17% 11% 22% 18%5% 4% 7% 8% 9% 6% 8% 7%3% 5% 6% 7% 5% 5% 7% 5%3% 7% 8% 19% 12% 8% 6% 6%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50017% 23% 16% 9% 16% 21% 14% 22%16% 13% 17% 9% 10% 14% 17% 18%21% 12% 15% 14% 19% 17% 17% 15%17% 17% 10% 18% 11% 11% 15% 12%7% 5% 11% 5% 8% 7% 7% 7%

10% 11% 10% 10% 10% 11% 11% 11%11% 20% 21% 35% 28% 19% 18% 15%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5008% 18% 18% 13% 12% 14% 9% 6%7% 10% 7% 3% 4% 14% 11% 7%

11% 10% 11% 12% 4% 12% 14% 6%16% 7% 14% 5% 12% 13% 19% 14%14% 8% 11% 3% 9% 6% 13% 13%19% 7% 9% 12% 13% 7% 11% 17%25% 41% 31% 51% 44% 33% 23% 38%

Page 290: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5004% 19% 13% 8% 6% 14% 4% 4%6% 9% 13% 6% 3% 10% 6% 4%6% 12% 15% 14% 8% 16% 7% 4%

10% 6% 17% 11% 9% 13% 11% 10%10% 7% 6% 5% 9% 8% 11% 9%15% 3% 9% 4% 11% 8% 15% 13%50% 43% 27% 52% 53% 32% 45% 56%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5009% 21% 18% 9% 19% 22% 13% 9%

10% 15% 13% 6% 7% 13% 15% 10%20% 10% 13% 8% 14% 15% 20% 16%26% 13% 9% 8% 13% 11% 22% 24%15% 5% 11% 7% 9% 11% 11% 12%9% 7% 9% 9% 5% 8% 8% 9%

10% 29% 27% 53% 33% 20% 11% 20%

Table g73[{q88}].mA - 'Connect to another physical item (thermostat, car, fitness band, etc.)' : When is the most recent time that you used personal mobile technology (on a tablet / smartphone) to do each of the following activities?

MX PA CR NI GT EC BR AR

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501 150 150 150 150 300 500 5007% 20% 13% 10% 18% 16% 8% 6%8% 8% 10% 4% 6% 14% 10% 7%

10% 10% 10% 9% 7% 12% 10% 6%8% 7% 12% 9% 7% 10% 11% 6%7% 9% 10% 5% 3% 8% 6% 6%7% 7% 6% 9% 6% 5% 8% 8%

54% 40% 38% 54% 52% 35% 47% 60%

Table g89[..].mA_Columns - When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

Table g89[{q89}].mA - A brand that has a trusted reputation for delivering quality products / services : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50068% 65% 42% 59% 55% 55% 63% 63%27% 23% 31% 22% 31% 29% 30% 28%4% 3% 21% 7% 8% 9% 5% 6%1% 8% 6% 12% 6% 7% 2% 2%

Table g89[{q90}].mA - The least expensive option : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

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MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50039% 43% 34% 45% 42% 36% 35% 34%41% 34% 37% 26% 28% 36% 41% 38%17% 16% 21% 16% 15% 18% 19% 20%3% 7% 9% 13% 15% 10% 5% 8%

Table g89[{q91}].mA - A company that provides bundled services for one price (e.g. home internet / mobile plans / devices) : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50048% 60% 40% 59% 46% 48% 36% 41%38% 29% 32% 25% 30% 34% 45% 33%11% 6% 20% 9% 13% 10% 16% 18%2% 5% 9% 8% 11% 9% 2% 7%

Table g89[{q92}].mA - A company with a strong commitment to sustainability and social impact : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50044% 60% 44% 54% 49% 47% 40% 29%37% 24% 32% 23% 25% 37% 42% 38%16% 7% 17% 12% 15% 10% 15% 26%3% 8% 8% 11% 10% 7% 3% 8%

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Table g89[{q93}].mA - A company with positive consumer reviews : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50054% 61% 43% 58% 44% 47% 60% 43%36% 25% 29% 24% 31% 34% 32% 37%7% 7% 18% 8% 14% 11% 7% 14%3% 7% 9% 10% 12% 9% 1% 6%

Table g89[{q94}].mA - The brand that my closest friends and family use : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50013% 30% 25% 32% 24% 25% 27% 17%31% 33% 33% 24% 33% 35% 38% 28%36% 17% 22% 19% 23% 22% 26% 34%20% 21% 19% 25% 21% 18% 9% 21%

Table g89[{q95}].mA - A company that is the leader in consumer innovation : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50049% 63% 40% 53% 46% 50% 45% 33%40% 22% 35% 25% 28% 33% 39% 39%9% 8% 19% 14% 20% 10% 14% 21%2% 6% 7% 8% 6% 8% 2% 8%

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Table g96[..].mA_Columns - Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

Retail / commerce (e.g. purchasing goods and services)TravelCreativity (e.g. making art, pictures, music, videos)Work / business productivityLocal transportationPersonal safety

6702 6702 6702 6702 6702 670235% 30% 45% 33% 24% 26%40% 39% 38% 39% 37% 39%25% 31% 17% 27% 39% 35%

Table g96[{q96}].mA - Medicine and healthcare : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50030% 38% 40% 39% 29% 44% 33% 16%36% 33% 36% 28% 31% 32% 43% 35%34% 29% 23% 33% 40% 24% 24% 49%

Table g96[{q97}].mA - Education and research : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50069% 67% 54% 60% 51% 62% 61% 50%25% 23% 26% 23% 31% 27% 31% 35%6% 10% 19% 17% 19% 11% 8% 16%

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Table g96[{q98}].mA - Finding a job / career opportunities : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50047% 58% 45% 40% 41% 43% 43% 35%36% 30% 33% 29% 31% 36% 37% 38%17% 12% 22% 30% 28% 21% 19% 27%

Table g96[{q99}].mA - Entertainment : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50071% 67% 47% 45% 45% 53% 63% 62%25% 26% 38% 37% 38% 32% 31% 28%5% 7% 15% 18% 18% 15% 7% 9%

Table g96[{q100}].mA - Personal banking / making payments : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50031% 35% 28% 27% 28% 35% 46% 27%37% 28% 33% 24% 30% 34% 32% 23%32% 37% 39% 48% 42% 32% 22% 49%

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Table g96[{q101}].mA - Access to news / current events : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50059% 61% 43% 43% 40% 49% 61% 57%32% 29% 36% 32% 38% 39% 30% 30%9% 10% 21% 25% 23% 12% 9% 14%

Table g96[{q102}].mA - Personal expression : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50048% 61% 42% 44% 37% 43% 46% 39%37% 29% 34% 31% 39% 34% 37% 36%15% 10% 25% 24% 23% 23% 17% 25%

Table g96[{q103}].mA - Social life (with friends) : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50058% 66% 46% 53% 49% 50% 54% 53%33% 21% 36% 30% 34% 34% 35% 33%9% 13% 18% 16% 17% 16% 11% 13%

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Table g96[{q104}].mA - Romantic life : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50038% 47% 30% 39% 31% 35% 38% 28%31% 26% 39% 23% 31% 35% 41% 35%31% 27% 31% 38% 38% 30% 21% 37%

Table g96[{q105}].mA - Political expression : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50028% 33% 24% 21% 18% 33% 33% 21%42% 28% 41% 31% 31% 32% 40% 28%31% 39% 35% 48% 51% 35% 27% 51%

Table g96[{q106}].mA - Retail / commerce (e.g. purchasing goods and services) : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50032% 31% 24% 26% 21% 36% 45% 24%40% 29% 37% 26% 28% 30% 39% 30%29% 40% 38% 48% 51% 33% 16% 47%

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Table g96[{q107}].mA - Travel : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50033% 35% 27% 24% 20% 38% 36% 25%39% 19% 37% 33% 30% 34% 41% 31%28% 46% 36% 43% 50% 27% 23% 44%

Table g96[{q108}].mA - 'Creativity (e.g. making art, pictures, music, videos)' : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50060% 64% 41% 47% 54% 51% 55% 49%30% 26% 41% 29% 31% 33% 34% 33%10% 10% 18% 24% 16% 16% 11% 18%

Table g96[{q109}].mA - Work / business productivity : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50038% 51% 35% 39% 34% 43% 45% 29%43% 31% 39% 28% 34% 34% 36% 33%19% 19% 26% 34% 32% 23% 19% 38%

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Table g96[{q110}].mA - Local transportation : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50017% 36% 26% 26% 24% 34% 27% 20%38% 27% 46% 29% 27% 36% 41% 34%45% 37% 28% 44% 49% 31% 32% 46%

Table g96[{q111}].mA - Personal safety : Thinking about how personal mobile technology has transformed your life to date, how would you characterize the impact that personal mobile technology has had on each area of your life:

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50022% 46% 36% 35% 29% 37% 31% 18%40% 24% 38% 28% 27% 32% 37% 35%38% 30% 26% 36% 44% 31% 33% 47%

Table q112 - Looking ahead to the next 10 years, which areas of your life do you believe that personal mobile technology will transform the most? Please select the three areas that you believe will be most transformed by personal mobile technology 10 years from now.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50020% 17% 28% 27% 16% 28% 18% 13%39% 40% 34% 42% 45% 36% 34% 34%17% 22% 20% 19% 25% 15% 15% 19%

Page 300: 2014 Millennial Survey Regions and Countries Dataset

38% 20% 28% 30% 26% 22% 33% 41%25% 18% 13% 8% 13% 14% 22% 17%13% 15% 13% 15% 13% 15% 19% 19%13% 11% 22% 11% 18% 16% 8% 12%27% 31% 22% 29% 22% 27% 32% 36%10% 10% 17% 17% 12% 11% 12% 12%7% 7% 8% 8% 12% 12% 8% 6%

15% 9% 9% 5% 7% 10% 19% 12%14% 19% 15% 14% 18% 19% 9% 13%20% 14% 18% 12% 15% 16% 21% 21%27% 28% 17% 25% 22% 22% 24% 22%6% 12% 16% 13% 11% 12% 11% 10%

10% 23% 18% 18% 16% 21% 15% 10%.% 4% 3% 6% 10% 5% 1% 4%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50049% 57% 35% 39% 38% 41% 57% 42%31% 23% 23% 19% 22% 22% 37% 25%39% 10% 23% 24% 24% 23% 49% 43%

Page 301: 2014 Millennial Survey Regions and Countries Dataset

10% 11% 20% 20% 15% 16% 20% 13%1% 4% 7% 3% 6% 9% 7% 3%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50011% 23% 15% 22% 23% 23% 16% 9%11% 13% 15% 11% 16% 14% 18% 8%25% 12% 16% 11% 13% 16% 34% 22%71% 52% 49% 55% 44% 45% 67% 72%4% 7% 7% 5% 6% 9% 10% 8%

Table g113A[{q115}].mA - Single episode of an old television program (e.g. not a new episode) : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50016% 33% 18% 21% 23% 25% 23% 12%21% 16% 21% 13% 18% 19% 24% 13%41% 12% 26% 19% 18% 20% 46% 34%47% 35% 39% 46% 40% 34% 55% 55%3% 7% 4% 7% 6% 9% 8% 6%

Table g113A[{q116}].mA - "Binge watching" an entire season of a television program : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

Page 302: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50010% 25% 20% 22% 17% 23% 18% 7%17% 12% 14% 7% 13% 17% 20% 8%29% 12% 22% 11% 17% 17% 44% 26%64% 47% 42% 54% 49% 42% 58% 69%5% 7% 6% 6% 7% 9% 10% 8%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5009% 26% 18% 17% 25% 22% 16% 8%9% 9% 18% 13% 12% 15% 14% 6%

16% 9% 11% 10% 11% 15% 29% 14%18% 11% 24% 20% 19% 16% 35% 20%69% 47% 34% 44% 36% 42% 59% 72%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50014% 29% 25% 17% 21% 23% 19% 10%16% 13% 17% 12% 18% 15% 18% 8%35% 14% 15% 15% 15% 21% 44% 29%53% 31% 38% 41% 35% 30% 57% 58%11% 16% 11% 20% 14% 18% 21% 18%

Page 303: 2014 Millennial Survey Regions and Countries Dataset

Table g113A[{q119}].mA - 'Gaming (e.g. strategy, first person shooter, puzzle, racing)' : First, indicate which type of screen you would be willing to use to watch or take part in each type of entertainment.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50032% 48% 35% 28% 31% 31% 43% 26%31% 23% 27% 27% 22% 27% 33% 20%39% 12% 16% 20% 28% 20% 48% 49%27% 17% 25% 24% 20% 20% 36% 25%4% 3% 4% 6% 6% 8% 9% 5%

Table g113B[..].mB_Columns - Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

Table g113B[{q113}].mB - 'Short video posted online, or to a social media app' : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50037% 49% 32% 33% 28% 31% 35% 30%16% 20% 15% 16% 21% 21% 15% 11%38% 18% 28% 21% 26% 22% 35% 44%

Page 304: 2014 Millennial Survey Regions and Countries Dataset

8% 11% 22% 27% 21% 18% 13% 12%1% 3% 3% 3% 5% 8% 2% 2%

Table g113B[{q114}].mB - Brand new television program (e.g. new episode) : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5009% 23% 11% 17% 16% 19% 8% 6%6% 13% 15% 11% 14% 15% 9% 5%

21% 9% 17% 12% 15% 18% 17% 20%62% 52% 53% 54% 50% 40% 64% 65%1% 3% 4% 5% 4% 8% 3% 3%

Table g113B[{q115}].mB - Single episode of an old television program (e.g. not a new episode) : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5008% 25% 13% 17% 17% 23% 9% 8%

11% 16% 22% 13% 17% 14% 13% 5%39% 10% 24% 13% 21% 20% 31% 34%41% 43% 38% 51% 44% 38% 44% 49%2% 5% 4% 6% 2% 5% 2% 4%

Table g113B[{q116}].mB - "Binge watching" an entire season of a television program : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

Page 305: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5008% 23% 10% 17% 18% 20% 7% 7%8% 12% 13% 9% 8% 15% 7% 5%

29% 11% 26% 14% 21% 18% 32% 27%54% 48% 47% 57% 47% 42% 50% 58%1% 6% 4% 3% 6% 5% 4% 4%

Table g113B[{q117}].mB - New release movie : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5006% 21% 13% 21% 18% 18% 7% 6%5% 14% 11% 8% 16% 13% 8% 4%

14% 7% 18% 8% 11% 15% 12% 15%10% 10% 27% 24% 18% 18% 17% 15%64% 48% 31% 39% 37% 37% 55% 61%

Table g113B[{q118}].mB - Movie that is not a new release : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5007% 21% 17% 16% 13% 17% 10% 6%7% 12% 13% 10% 17% 19% 9% 5%

35% 18% 24% 10% 16% 20% 24% 31%46% 38% 38% 52% 43% 30% 48% 48%6% 11% 8% 12% 10% 13% 9% 10%

Page 306: 2014 Millennial Survey Regions and Countries Dataset

Table g113B[{q119}].mB - 'Gaming (e.g. strategy, first person shooter, puzzle, racing)' : Next, please indicate which type of screen is your personal preferred method to use when you watch or take part in the following types of entertainment in your life today.

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50028% 49% 26% 25% 24% 30% 21% 22%19% 23% 23% 20% 25% 25% 14% 9%32% 14% 19% 23% 27% 19% 34% 49%21% 10% 29% 28% 20% 22% 27% 18%0% 3% 3% 4% 5% 4% 3% 2%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50054% 56% 56% 56% 56% 57% 40% 55%46% 44% 44% 44% 44% 43% 60% 45%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50073% 68% 59% 73% 63% 68% 68% 68%27% 32% 41% 27% 37% 32% 32% 32%

Page 307: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50021% 31% 24% 39% 23% 34% 41% 23%73% 60% 49% 48% 52% 53% 68% 67%45% 32% 35% 34% 34% 29% 46% 39%12% 13% 17% 15% 19% 15% 7% 17%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50039% 67% 49% 65% 44% 54% 45% 36%41% 20% 29% 21% 26% 30% 41% 39%14% 7% 15% 7% 18% 9% 9% 18%6% 7% 7% 7% 12% 7% 5% 7%

Page 308: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50040% 52% 40% 49% 43% 45% 40% 32%44% 29% 38% 27% 34% 36% 40% 40%14% 11% 17% 13% 11% 11% 13% 19%3% 8% 5% 10% 12% 8% 6% 10%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50054% 66% 52% 64% 44% 54% 56% 45%36% 22% 24% 19% 33% 27% 35% 38%8% 9% 19% 9% 14% 9% 7% 12%2% 3% 5% 8% 9% 10% 2% 6%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50053% 52% 42% 52% 45% 56% 64% 37%33% 26% 27% 21% 26% 26% 27% 35%

Page 309: 2014 Millennial Survey Regions and Countries Dataset

8% 7% 20% 10% 19% 8% 5% 18%6% 15% 10% 17% 10% 9% 3% 10%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50019% 17% 19% 18% 14% 16% 23% 22%26% 26% 15% 23% 20% 29% 20% 22%5% 6% 13% 4% 12% 9% 11% 3%

24% 30% 17% 20% 15% 23% 22% 15%16% 15% 15% 20% 10% 17% 13% 13%4% 11% 14% 7% 7% 11% 7% 6%

47% 44% 42% 48% 54% 41% 44% 52%

I am comfortable giving companies access to my personal data if they use it to create more personalized offers and products to me as a customer

Page 310: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50018% 38% 23% 29% 23% 30% 17% 17%40% 37% 35% 38% 28% 34% 36% 33%24% 13% 28% 16% 22% 19% 30% 32%18% 13% 14% 17% 27% 17% 17% 18%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50018% 33% 21% 30% 26% 26% 23% 17%42% 31% 38% 33% 35% 45% 45% 38%30% 17% 28% 19% 21% 17% 24% 31%10% 19% 13% 18% 17% 13% 7% 14%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50014% 34% 25% 28% 30% 28% 29% 16%25% 29% 38% 25% 25% 41% 37% 28%25% 15% 26% 18% 22% 12% 18% 24%36% 23% 12% 28% 23% 18% 15% 33%

Page 311: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50022% 32% 26% 26% 25% 24% 29% 20%27% 30% 31% 27% 33% 40% 39% 28%24% 11% 29% 19% 23% 16% 19% 22%27% 27% 14% 28% 19% 20% 13% 30%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50025% 43% 29% 27% 24% 28% 20% 20%40% 25% 30% 20% 21% 36% 38% 37%20% 11% 26% 26% 27% 17% 27% 24%15% 21% 15% 26% 27% 19% 15% 19%

Table g128[{q133}].mA - I am comfortable giving companies access to my personal data if they use it to create better value for me as a customer : How strongly do you agree with the following statements?

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50018% 39% 28% 30% 25% 21% 19% 16%41% 30% 37% 30% 26% 38% 42% 38%25% 15% 18% 19% 28% 22% 22% 28%16% 16% 18% 21% 21% 19% 16% 18%

Page 312: 2014 Millennial Survey Regions and Countries Dataset

Table g128[{q134}].mA - I am comfortable giving companies access to my personal data if they use it to create more personalized offers and products to me as a customer : How strongly do you agree with the following statements?

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50018% 40% 30% 27% 21% 29% 20% 19%37% 30% 31% 29% 33% 30% 38% 31%27% 13% 25% 21% 25% 23% 25% 32%18% 17% 15% 23% 21% 18% 17% 18%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50017% 20% 21% 18% 18% 21% 21% 24%28% 36% 33% 45% 42% 32% 40% 23%22% 38% 35% 23% 28% 30% 25% 36%34% 5% 11% 13% 12% 17% 14% 17%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50013% 15% 12% 14% 12% 21% 23% 8%38% 21% 24% 24% 20% 31% 41% 26%30% 25% 21% 21% 25% 19% 21% 29%19% 39% 43% 41% 44% 29% 16% 37%

Page 313: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50061% 59% 43% 62% 46% 50% 68% 35%35% 31% 32% 22% 28% 33% 28% 51%3% 6% 17% 6% 9% 8% 3% 10%1% 5% 7% 10% 18% 9% 1% 4%

Table q138 - Some people believe that it is acceptable to give up some personal privacy in order to protect national security by allowing governments to access citizens' personal information in the service of preventing attacks and security threats. Others disagree. Where do you stand on the issue?

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50035% 34% 32% 41% 30% 32% 36% 31%60% 49% 39% 42% 46% 48% 53% 56%6% 17% 29% 17% 24% 20% 11% 13%

Page 314: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

256 54 54 57 49 157 319 16957% 52% 35% 61% 47% 56% 60% 50%27% 34% 51% 23% 38% 30% 31% 30%17% 15% 15% 15% 16% 15% 9% 20%

MX PA CR NI GT EC BR AR

256 54 54 57 49 157 319 16951% 55% 43% 49% 53% 54% 53% 40%40% 33% 50% 28% 38% 31% 39% 43%10% 11% 7% 23% 8% 15% 8% 17%

MX PA CR NI GT EC BR AR

256 54 54 57 49 157 319 16947% 55% 39% 48% 37% 43% 40% 40%39% 36% 46% 39% 42% 35% 47% 42%

Page 315: 2014 Millennial Survey Regions and Countries Dataset

14% 9% 15% 13% 20% 22% 13% 18%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50056% 69% 53% 67% 61% 63% 71% 63%44% 31% 47% 33% 39% 37% 29% 37%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5003% 7% 5% 5% 8% 9% 8% 5%

17% 17% 14% 12% 12% 16% 21% 12%43% 13% 18% 13% 24% 18% 41% 38%26% 25% 23% 25% 15% 23% 15% 21%29% 34% 44% 49% 34% 40% 27% 34%16% 24% 17% 17% 22% 21% 18% 16%59% 51% 38% 43% 53% 40% 52% 61%7% 14% 11% 11% 13% 12% 13% 10%

32% 33% 41% 38% 29% 29% 25% 32%21% 23% 24% 21% 22% 24% 9% 15%18% 18% 21% 17% 20% 21% 20% 20%13% 17% 17% 24% 25% 15% 27% 17%8% 9% 14% 11% 15% 15% 13% 7%7% 15% 12% 14% 8% 15% 9% 12%

Page 316: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50042% 34% 36% 34% 38% 38% 40% 44%85% 64% 62% 66% 65% 62% 78% 76%7% 19% 26% 16% 18% 19% 11% 9%

42% 44% 44% 47% 41% 43% 42% 44%22% 27% 24% 19% 24% 19% 23% 18%1% 3% 4% 7% 7% 11% 3% 5%1% 4% 2% 4% 4% 4% 1% 2%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50045% 39% 35% 47% 45% 33% 51% 48%11% 41% 25% 26% 29% 29% 23% 16%20% 20% 26% 20% 19% 21% 31% 18%14% 17% 21% 18% 23% 18% 17% 14%44% 28% 20% 21% 22% 23% 38% 47%14% 7% 8% 13% 10% 12% 22% 24%31% 20% 19% 16% 21% 19% 24% 24%1% 4% 5% 4% 5% 5% 4% 3%

MX PA CR NI GT EC BR AR

Page 317: 2014 Millennial Survey Regions and Countries Dataset

501 150 150 150 150 300 500 50012% 8% 6% 6% 11% 9% 7% 40%0% 0% 2% 0% 0% 0% .% 1%

24% 9% 15% 21% 10% 23% 72% 34%6% 4% 4% 6% 5% 14% 6% 6%2% 2% 7% 3% 5% 7% 1% 3%1% 6% 28% 3% 7% 1% 1% 1%1% 1% 3% 3% 4% 5% 1% 1%.% 1% 1% 1% 2% 1% 1% .%1% 1% 1% 1% .% 21% .% 0%0% 1% 1% 1% 0% 0% .% 0%0% 1% 1% 0% 15% 1% 0% 0%.% 1% 1% 1% 1% 2% 0% .%.% 0% 0% 0% 0% 1% .% 0%

47% 13% 19% 18% 30% 7% 5% 9%0% 0% 0% 16% 1% 0% .% 0%2% 44% 9% 11% 2% 3% 1% 1%.% 3% 0% 1% 1% 1% 1% 1%.% 0% 1% 0% 1% .% .% .%1% 3% 1% 2% 2% 2% 0% 1%1% 0% 2% 0% 1% .% 2% 1%1% 2% 1% 8% 2% 2% 1% .%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5004% 28% 17% 8% 10% 17% 7% 5%

14% 38% 28% 29% 23% 23% 21% 16%46% 25% 29% 39% 27% 41% 40% 38%36% 9% 25% 24% 40% 19% 32% 41%

Page 318: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50043% 40% 46% 41% 36% 43% 54% 37%16% 10% 10% 9% 8% 11% 9% 17%16% 18% 13% 21% 27% 19% 11% 15%23% 23% 20% 18% 17% 19% 21% 24%1% 9% 11% 11% 12% 8% 5% 8%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5001% 3% 4% 3% .% 3% 2% 1%

34% 20% 15% 12% 23% 21% 40% 41%22% 17% 15% 14% 13% 14% 18% 15%6% 9% 13% 20% 20% 17% 6% 7%

14% 27% 23% 16% 16% 24% 12% 17%2% 1% 2% 8% 4% 3% 1% 2%0% 1% 3% 0% 0% 2% .% 1%1% 2% 1% 3% 0% 1% .% .%1% 1% 1% 1% 1% 1% 1% 1%

19% 11% 16% 13% 17% 8% 16% 12%0% 0% 1% 0% 0% 1% 1% .%1% 8% 5% 10% 6% 6% 3% 3%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50080% 66% 67% 87% 84% 82% 84% 80%

Page 319: 2014 Millennial Survey Regions and Countries Dataset

16% 19% 20% 4% 9% 8% 13% 16%4% 7% 9% 5% 3% 3% 2% 3%.% 7% 4% 5% 5% 7% .% 1%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50045% 71% 45% 43% 41% 44% 57% 41%13% 6% 4% 16% 10% 7% 8% 8%31% 14% 24% 26% 31% 32% 23% 36%5% 1% 9% 3% 6% 1% 8% 6%6% 6% 8% 5% 4% 9% 2% 5%.% 3% 11% 7% 8% 7% 1% 3%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50053% 51% 39% 64% 59% 51% 29% 43%42% 39% 49% 25% 24% 34% 67% 44%5% 11% 12% 11% 17% 15% 4% 13%

Page 320: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50061% 60% 66% 65% 76% 64% 65% 68%28% 16% 13% 22% 10% 18% 23% 8%9% 19% 17% 7% 7% 10% 10% 21%2% 1% 2% 1% 3% 3% .% .%0% 1% 2% 0% 1% .% .% 0%1% 3% 0% 5% 4% 5% 1% 3%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50049% 41% 48% 54% 67% 57% 54% 47%9% 17% 17% 12% 10% 10% 6% 8%2% 4% 3% 1% 2% .% 2% 3%1% 1% 4% 0% 0% 1% 1% 1%

18% 15% 13% 16% 11% 13% 17% 18%16% 12% 8% 7% 4% 12% 15% 13%6% 10% 7% 10% 7% 7% 4% 10%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50016% 20% 12% 18% 24% 30% 20% 13%24% 11% 24% 24% 27% 26% 22% 30%4% 3% 14% 6% 4% 3% 5% 6%

55% 65% 44% 49% 41% 39% 49% 49%.% 1% 4% 1% 3% 1% 3% 2%0% 0% 2% 2% 2% 2% 1% .%

Page 321: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50023% 27% 22% 23% 13% 15% 16% 12%11% 17% 12% 14% 11% 13% 7% 7%8% 12% 16% 14% 7% 10% 12% 6%2% 3% 3% 2% 4% 6% 4% 4%1% 1% 1% 5% 3% 5% .% 1%

64% 44% 52% 47% 54% 45% 68% 73%2% 5% 5% 7% 13% 14% 2% 3%

Page 322: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50042% 68% 67% 65% 59% 51% 57% 46%0% 0% 1% 0% 0% 1% 0% 0%0% 0% 0% 0% 1% 1% 0% .%1% 1% 0% 0% 0% 1% 1% 1%0% 0% 0% 0% 0% 1% 1% 1%0% 1% 0% 0% 0% 1% 0% 1%0% 0% 0% 0% 0% .% 0% .%.% 1% 1% 0% 1% 1% 0% .%0% 0% 0% 0% 0% 1% 0% 0%

16% 11% 11% 5% 4% 14% 11% 6%34% 10% 18% 19% 26% 18% 25% 39%7% 10% 3% 12% 11% 15% 6% 7%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5007% 9% 9% 9% 9% 11% 7% 2%

21% 2% 2% 0% 6% 11% 11% 15%28% 29% 29% 14% 20% 16% 31% 18%8% 5% 8% 3% 5% 7% 10% 7%1% 3% 2% 3% 2% 2% 2% 3%

36% 53% 50% 71% 58% 52% 39% 55%

Page 323: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

Page 324: 2014 Millennial Survey Regions and Countries Dataset

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

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12% 5% 3% 3% 2% 7% 14% 7%23% 7% 5% 16% 11% 15% 10% 15%26% 31% 18% 24% 18% 21% 26% 26%13% 30% 58% 31% 40% 21% 21% 20%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 50098% 75% 67% 70% 67% 45% 97% 91%2% 25% 33% 30% 33% 55% 3% 9%

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336 97 28 78 58 93 363 34574% 66% 90% 54% 45% 41% 68% 53%26% 34% 10% 46% 55% 59% 32% 47%

MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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501 150 150 150 150 300 500 50034% 52% 43% 46% 33% 40% 29% 24%64% 44% 52% 47% 54% 45% 68% 73%2% 5% 5% 7% 13% 14% 2% 3%

MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

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MX PA CR NI GT EC BR AR

501 0% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0% 0%

33% 0% 0% 0% 0% 0% 0% 0%65% 0% 0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

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0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

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0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

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MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 150 0% 0% 0% 0% 0%0% 0% 4% 0% 0% 0% 0% 0%0% 0% 17% 0% 0% 0% 0% 0%0% 0% 72% 0% 0% 0% 0% 0%0% 0% 7% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 150 0% 0% 0% 0% 0%0% 0% 16% 0% 0% 0% 0% 0%0% 0% 77% 0% 0% 0% 0% 0%0% 0% 7% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

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MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 300 0% 0%0% 0% 0% 0% 0% 38% 0% 0%0% 0% 0% 0% 0% 17% 0% 0%0% 0% 0% 0% 0% 3% 0% 0%0% 0% 0% 0% 0% 42% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 300 0% 0%0% 0% 0% 0% 0% 4% 0% 0%0% 0% 0% 0% 0% 61% 0% 0%0% 0% 0% 0% 0% 32% 0% 0%0% 0% 0% 0% 0% 4% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 149 0% 0% 0%0% 0% 0% 0% 49% 0% 0% 0%0% 0% 0% 0% 8% 0% 0% 0%0% 0% 0% 0% 1% 0% 0% 0%0% 0% 0% 0% 41% 0% 0% 0%

Page 366: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 150 0% 0% 0%0% 0% 0% 0% 12% 0% 0% 0%0% 0% 0% 0% 74% 0% 0% 0%0% 0% 0% 0% 11% 0% 0% 0%0% 0% 0% 0% 2% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 150 0% 0% 0% 0%0% 0% 0% 77% 0% 0% 0% 0%0% 0% 0% 9% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 15% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 150 0% 0% 0% 0%0% 0% 0% 7% 0% 0% 0% 0%0% 0% 0% 74% 0% 0% 0% 0%0% 0% 0% 17% 0% 0% 0% 0%

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0% 0% 0% 2% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 150 0% 0% 0% 0% 0% 0%0% 57% 0% 0% 0% 0% 0% 0%0% 24% 0% 0% 0% 0% 0% 0%0% 7% 0% 0% 0% 0% 0% 0%0% 13% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 150 0% 0% 0% 0% 0% 0%0% 2% 0% 0% 0% 0% 0% 0%0% 87% 0% 0% 0% 0% 0% 0%0% 10% 0% 0% 0% 0% 0% 0%0% 1% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%

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0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

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MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

Page 370: 2014 Millennial Survey Regions and Countries Dataset

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0% 0% 0%

MX PA CR NI GT EC BR AR

501 150 150 150 149 300 500 50017% 57% 4% 77% 49% 38% 31% 31%55% 24% 17% 9% 8% 17% 47% 33%17% 7% 72% 0% 1% 3% 12% 10%11% 13% 7% 15% 41% 42% 10% 25%

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MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5001% 2% 16% 7% 12% 4% 26% 1%

33% 87% 77% 74% 74% 61% 41% 64%65% 10% 7% 17% 11% 32% 31% 34%1% 1% 0% 2% 2% 4% 2% .%

MX PA CR NI GT EC BR AR

501 150 150 150 149 300 500 50017% 57% 4% 77% 49% 38% 31% 31%55% 24% 17% 9% 8% 17% 47% 33%17% 7% 72% 0% 1% 3% 12% 10%11% 13% 7% 15% 41% 42% 10% 25%

MX PA CR NI GT EC BR AR

501 150 150 150 150 300 500 5001% 2% 16% 7% 12% 4% 26% 1%

33% 87% 77% 74% 74% 61% 41% 64%65% 10% 7% 17% 11% 32% 31% 34%1% 1% 0% 2% 2% 4% 2% .%

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CL CO PE SV VZ UY

500 300 300 150 250 3000% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

100% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 100% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 100% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 100% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 100%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 100% 0%0% 0% 0% 0% 0% 0%

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CL CO PE SV VZ UY

500 300 300 150 250 3009% 8% 3% 9% 6% 7%6% 9% 7% 8% 9% 9%6% 9% 13% 8% 5% 7%

10% 5% 9% 5% 11% 8%6% 7% 7% 4% 7% 5%8% 7% 9% 3% 7% 6%6% 6% 8% 2% 6% 6%

11% 10% 7% 20% 12% 13%7% 9% 7% 9% 6% 9%8% 5% 8% 13% 8% 9%9% 11% 7% 8% 8% 6%5% 8% 8% 6% 7% 9%9% 8% 7% 4% 8% 7%

24.07 24.06 24.11 24.05 24.1 24.133.76 3.83 3.6 3.68 3.7 3.76

CL CO PE SV VZ UY

500 300 300 150 250 30051% 50% 54% 40% 51% 47%49% 50% 46% 60% 49% 53%0% 0% 0% 0% 0% 0%

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CL CO PE SV VZ UY

500 300 300 150 250 30050% 50% 50% 50% 50% 50%50% 50% 50% 50% 50% 50%

CL CO PE SV VZ UY

500 300 300 150 250 3000% 0% 0% 0% 0% 0%

11% 14% 15% 5% 8% 5%6% 10% 12% 11% 20% 12%

25% 26% 32% 14% 29% 6%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

10% 15% 14% 7% 8% 6%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%9% 9% 7% 3% 6% 4%8% 11% 9% 3% 9% 10%4% 5% 5% 3% 7% 2%0% 0% 0% 0% 0% 0%

16% 19% 23% 12% 22% 22%40% 35% 34% 53% 33% 52%0% 0% 0% 0% 0% 0%

Page 375: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30046% 47% 35% 56% 41% 53%44% 44% 53% 32% 47% 40%7% 9% 12% 10% 11% 5%2% 0% .% 2% 1% 2%

CL CO PE SV VZ UY

500 300 300 150 250 30080% 81% 80% 76% 77% 81%52% 37% 36% 44% 37% 65%5% 4% 3% 7% 14% 9%

50% 59% 49% 49% 56% 57%14% 11% 15% 11% 12% 11%31% 31% 40% 18% 34% 16%22% 28% 41% 25% 24% 17%19% 25% 21% 44% 31% 11%20% 18% 11% 18% 11% 24%7% 5% 4% 7% 5% 10%

CL CO PE SV VZ UY

500 300 300 150 250 30058% 69% 65% 56% 62% 52%35% 28% 33% 36% 30% 43%5% 2% 2% 7% 8% 4%1% 0% 0% 1% .% .%

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CL CO PE SV VZ UY

500 300 300 150 250 3005% 4% 2% 4% 3% 2%6% 4% 1% 10% 6% 4%

41% 29% 35% 42% 32% 38%19% 21% 19% 16% 16% 28%23% 37% 41% 18% 38% 15%4% 5% 2% 8% 5% 11%1% 1% 0% 2% 1% 2%

CL CO PE SV VZ UY

500 300 300 150 250 30055% 61% 63% 79% 61% 59%45% 39% 37% 21% 39% 41%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%

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0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

500 300 300 150 250 30054% 52% 42% 53% 50% 79%46% 48% 58% 47% 50% 21%

CL CO PE SV VZ UY

500 300 300 150 250 3007% 9% 11% 8% 10% 8%

16% 20% 16% 20% 14% 10%2% .% .% 0% 0% 2%1% .% 1% 5% 1% 2%6% 3% 5% 5% 2% 3%2% 1% 2% 2% 1% 3%7% 9% 10% 7% 11% 8%

10% 9% 9% 8% 18% 14%18% 26% 22% 20% 24% 7%14% 5% 7% 5% 6% 10%1% .% 0% 2% 1% 1%2% 1% 1% 2% 3% 5%

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4% 5% 5% 4% 3% 7%9% 11% 9% 11% 5% 19%

CL CO PE SV VZ UY

500 300 300 150 250 30010% 13% 14% 21% 10% 12%18% 20% 19% 19% 22% 20%3% 1% 2% 4% 1% 2%3% 2% 4% 2% 3% 3%6% 4% 4% 8% 3% 4%2% 2% 3% 1% 1% 5%8% 13% 12% 6% 14% 9%

10% 13% 17% 14% 11% 11%12% 11% 7% 7% 12% 4%12% 6% 6% 8% 7% 8%1% 1% 1% 3% 1% 1%4% 1% 3% 3% 4% 5%7% 9% 6% 3% 5% 9%4% 3% 2% 2% 6% 6%

CL CO PE SV VZ UY

500 300 300 150 250 3001% 1% 1% 1% 2% 3%3% 2% 2% 2% 3% 3%

18% 19% 14% 17% 25% 11%18% 16% 17% 17% 15% 17%4% 2% 3% 5% 4% 5%9% 9% 10% 10% 8% 6%

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2% 2% 2% 1% 2% 4%3% 2% 1% 5% 1% 3%2% 1% 1% 3% 2% 7%2% 4% 3% 2% 5% 4%

11% 8% 11% 8% 7% 11%14% 25% 17% 8% 12% 12%2% 2% 1% 5% 2% 2%

10% 7% 16% 17% 13% 13%

CL CO PE SV VZ UY

500 300 300 150 250 30020% 15% 13% 21% 35% 35%40% 40% 47% 51% 37% 50%26% 33% 31% 22% 23% 14%14% 12% 9% 7% 5% 2%

CL CO PE SV VZ UY

500 300 300 150 250 30023% 21% 18% 18% 20% 18%44% 44% 51% 50% 51% 53%23% 27% 21% 27% 22% 22%9% 8% 10% 6% 7% 7%

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CL CO PE SV VZ UY

500 300 300 150 250 3006% 8% 5% 11% 9% 16%

31% 33% 35% 41% 43% 54%46% 43% 42% 35% 36% 24%17% 16% 18% 13% 12% 5%.% 0% 0% 1% 0% 1%

CL CO PE SV VZ UY

500 300 300 150 250 30075% 76% 78% 60% 73% 73%74% 64% 80% 65% 68% 61%53% 60% 30% 16% 25% 33%45% 59% 72% 59% 60% 30%45% 41% 37% 28% 34% 23%9% 9% 3% 5% 14% 9%

CL CO PE SV VZ UY

500 300 300 150 250 30018% 17% 26% 16% 9% 21%52% 51% 56% 47% 31% 40%25% 26% 16% 29% 35% 31%4% 7% 2% 8% 25% 8%

Page 381: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30021% 19% 24% 23% 23% 22%15% 24% 21% 22% 21% 27%44% 36% 28% 28% 31% 39%7% 8% 7% 13% 7% 7%

24% 29% 32% 27% 22% 26%11% 9% 8% 9% 9% 14%9% 9% 7% 9% 7% 9%

12% 14% 15% 18% 17% 8%8% 9% 11% 13% 8% 7%

45% 41% 48% 25% 43% 47%13% 11% 10% 11% 6% 12%6% 8% 5% 14% 15% 5%

11% 12% 13% 17% 8% 11%49% 43% 45% 28% 37% 44%11% 10% 13% 20% 27% 9%15% 19% 12% 24% 19% 15%

CL CO PE SV VZ UY

500 300 300 150 250 3008% 10% 4% 5% 8% 9%3% 4% 6% 5% 4% 6%3% 3% 2% 1% 4% 5%8% 7% 9% 6% 5% 11%7% 9% 5% 6% 7% 9%7% 6% 4% 7% 3% 8%

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5% 4% 1% 4% 5% 2%22% 22% 23% 15% 28% 7%12% 12% 13% 10% 6% 6%3% 3% 3% 12% 4% 3%

12% 5% 7% 6% 5% 12%5% 8% 4% 4% 6% 5%4% 4% 4% 2% 3% 7%8% 5% 5% 6% 5% 8%6% 3% 6% 3% 6% 5%

18% 23% 20% 14% 24% 12%8% 10% 6% 2% 6% 4%7% 6% 9% 6% 5% 8%8% 5% 6% 6% 6% 6%

27% 33% 42% 19% 35% 22%9% 5% 9% 11% 8% 17%

CL CO PE SV VZ UY

500 300 300 150 250 30045% 56% 51% 46% 67% 24%35% 33% 37% 37% 25% 37%16% 10% 10% 13% 7% 24%4% 1% 2% 4% 1% 15%

CL CO PE SV VZ UY

397 267 263 126 230 1853% 4% 1% 3% 2% 2%

17% 10% 12% 9% 13% 6%17% 29% 21% 20% 19% 22%

Page 383: 2014 Millennial Survey Regions and Countries Dataset

31% 32% 34% 23% 43% 44%5% 3% 7% 5% 4% 3%

52% 53% 52% 40% 57% 35%48% 49% 45% 30% 41% 44%22% 24% 8% 14% 16% 15%

CL CO PE SV VZ UY

397 267 263 126 230 18537% 38% 31% 31% 39% 27%42% 50% 53% 39% 51% 45%53% 40% 37% 19% 30% 42%16% 5% 11% 23% 39% 13%5% 8% 6% 14% 26% 4%

47% 50% 50% 23% 29% 45%15% 18% 13% 17% 16% 16%

CL CO PE SV VZ UY

500 300 300 150 250 30015% 24% 34% 27% 50% 19%39% 44% 47% 44% 28% 39%34% 23% 14% 20% 15% 31%12% 8% 5% 9% 7% 12%

Page 384: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 3008% 8% 12% 20% 12% 16%

80% 85% 82% 71% 78% 61%12% 7% 6% 9% 11% 23%

CL CO PE SV VZ UY

500 300 300 150 250 30030% 18% 30% 25% 8% 25%50% 68% 60% 62% 75% 48%20% 14% 10% 13% 17% 27%

CL CO PE SV VZ UY

500 300 300 150 250 30082% 86% 88% 59% 51% 80%18% 14% 12% 41% 49% 20%

Page 385: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30042% 10% 15% 6% 1% 21%.% .% 0% 3% 0% 1%6% 2% 1% 3% 0% 1%.% 0% .% 3% 2% 0%1% 3% 2% .% 9% .%3% 6% 5% 9% 2% 8%0% 0% 1% .% 0% 1%.% .% 0% 2% 0% .%

19% 10% 4% 9% 1% 14%3% 3% 4% 3% 23% 5%1% 4% 1% 2% 0% 2%4% 39% 29% 8% 27% 6%9% 8% 27% 38% 30% 30%3% 1% 1% 0% .% 2%2% 8% 6% 11% 2% 3%1% 2% 2% 0% 0% 3%2% 2% 1% 2% .% 1%2% 3% 1% 0% 1% 2%

20% 10% 5% 13% 1% 16%

CL CO PE SV VZ UY

500 300 300 150 250 30043% 24% 46% 19% 5% 40%45% 68% 49% 70% 91% 40%12% 8% 5% 11% 4% 20%

Page 386: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30014% 17% 7% 10% 12% 17%22% 35% 27% 15% 15% 18%18% 25% 27% 24% 29% 36%24% 24% 14% 19% 15% 23%42% 27% 45% 19% 26% 23%16% 28% 26% 25% 29% 23%13% 18% 15% 18% 29% 14%15% 20% 10% 24% 15% 12%21% 32% 30% 22% 26% 26%43% 46% 48% 20% 33% 27%16% 31% 24% 14% 25% 11%15% 17% 19% 29% 27% 19%13% 13% 8% 15% 13% 6%16% 11% 10% 16% 10% 15%12% 9% 11% 16% 14% 13%9% 4% 5% 7% 6% 5%

13% 12% 6% 9% 20% 6%

CL CO PE SV VZ UY

500 300 300 150 250 30024% 24% 13% 12% 25% 5%15% 11% 13% 10% 21% 14%65% 60% 60% 33% 40% 37%32% 20% 14% 14% 5% 11%4% 6% 3% 5% 24% 7%

11% 10% 13% 12% 24% 14%34% 39% 43% 20% 55% 16%22% 28% 16% 13% 44% 11%15% 15% 14% 19% 81% 26%39% 41% 31% 20% 42% 26%4% 3% 4% 7% 5% 3%4% 3% 4% 7% 6% 6%

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21% 37% 37% 32% 61% 34%8% 20% 16% 13% 27% 8%

62% 58% 37% 41% 41% 30%28% 15% 12% 12% 11% 6%37% 82% 81% 52% 80% 34%5% 2% 1% 3% 7% 6%.% 1% 0% 0% 0% 1%

CL CO PE SV VZ UY

500 300 300 150 250 30067% 77% 45% 63% 56% 42%22% 16% 47% 21% 26% 40%11% 7% 9% 16% 18% 18%

CL CO PE SV VZ UY

500 300 300 150 250 30020% 11% 19% 18% 5% 11%33% 20% 24% 22% 34% 17%8% 6% 3% 7% 2% 5%3% .% 2% 5% 23% 1%

15% 17% 11% 12% 8% 15%3% 18% 12% 9% 17% 6%7% 2% 18% 16% 20% 15%1% 4% 3% 6% 5% 2%

73% 73% 82% 60% 41% 65%2% 4% 3% 5% 3% 3%2% 3% 3% 5% 2% 2%

30% 40% 16% 28% 34% 53%

Page 388: 2014 Millennial Survey Regions and Countries Dataset

3% 2% 2% 6% 4% 3%.% 0% 0% 0% 1% 2%

CL CO PE SV VZ UY

500 300 300 150 250 30019% 23% 23% 11% 12% 13%61% 55% 63% 48% 39% 59%18% 19% 12% 26% 33% 24%2% 3% 2% 15% 17% 4%

CL CO PE SV VZ UY

500 300 300 150 250 30039% 35% 27% 35% 42% 32%39% 48% 56% 22% 42% 38%18% 29% 18% 18% 23% 23%12% 15% 15% 26% 16% 20%37% 34% 29% 24% 32% 29%19% 14% 14% 7% 12% 14%20% 21% 19% 23% 22% 17%1% 5% 1% 5% 1% 2%

Page 389: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

194 147 169 33 105 11225% 33% 21% 19% 32% 25%2% 2% 4% 3% 5% 0%

45% 58% 68% 31% 56% 46%80% 43% 55% 20% 21% 23%9% 75% 23% 15% 35% 10%2% 6% 5% 14% 6% 2%2% 1% 6% 3% 2% 3%2% 6% 1% 6% 5% 6%1% 21% 6% 4% 16% 3%0% 1% 1% 8% 0% 0%1% 2% 2% 4% 1% 2%0% 0% 1% 3% 0% 2%1% 4% 0% 7% 3% 0%

24% 41% 23% 20% 20% 13%1% 4% 0% 8% 5% 2%3% 28% 7% 15% 34% 6%3% 6% 2% 0% 4% 5%

15% 15% 66% 2% 5% 4%4% 6% 1% 9% 8% 1%

10% 15% 6% 6% 9% 40%8% 10% 9% 17% 51% 16%

11% 3% 7% 3% 9% 25%

CL CO PE SV VZ UY

500 300 300 150 250 30012% 17% 16% 38% 34% 17%13% 12% 11% 10% 8% 11%10% 7% 8% 11% 23% 8%34% 26% 21% 14% 24% 32%3% 5% 4% 12% 10% 5%4% 4% 3% 8% 5% 6%

36% 25% 13% 27% 13% 27%9% 3% 4% 11% 4% 7%

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9% 4% 14% 3% 8% 8%35% 39% 39% 19% 32% 32%31% 29% 35% 34% 13% 34%53% 49% 50% 55% 51% 61%25% 27% 24% 11% 20% 15%26% 52% 59% 46% 56% 37%

CL CO PE SV VZ UY

500 300 300 150 250 30054% 64% 58% 56% 52% 48%35% 31% 37% 33% 34% 28%11% 5% 5% 10% 14% 24%

CL CO PE SV VZ UY

500 300 300 150 250 30038% 37% 31% 35% 33% 35%33% 42% 39% 35% 36% 36%25% 20% 29% 25% 28% 24%4% 1% 2% 5% 3% 5%

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CL CO PE SV VZ UY

500 300 300 150 250 3006% 7% 4% 6% 3% 4%

34% 35% 36% 28% 32% 29%42% 40% 43% 27% 37% 44%14% 14% 13% 17% 22% 16%4% 4% 4% 22% 6% 7%

CL CO PE SV VZ UY

500 300 300 150 250 30013% 10% 15% 10% 13% 12%36% 37% 43% 26% 35% 34%25% 29% 28% 24% 28% 21%17% 18% 9% 14% 12% 17%7% 6% 6% 27% 11% 16%

CL CO PE SV VZ UY

500 300 300 150 250 30064% 76% 79% 70% 68% 58%26% 17% 15% 19% 22% 24%10% 7% 6% 11% 10% 17%

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CL CO PE SV VZ UY

500 300 300 150 250 30035% 56% 59% 50% 45% 31%50% 33% 30% 31% 42% 49%16% 11% 11% 19% 14% 20%

CL CO PE SV VZ UY

500 300 300 150 250 3004% 4% 5% 7% 8% 4%8% 5% 6% 4% 8% 5%1% .% 1% 2% 1% 0%2% 1% 2% 2% 2% 3%1% 1% .% 4% 3% 2%1% 3% 1% 4% 3% 3%

10% 8% 3% 6% 4% 10%3% 1% 2% 7% 1% 1%3% 2% 3% 1% 1% 2%

14% 13% 18% 7% 12% 13%22% 29% 20% 15% 17% 25%16% 16% 16% 23% 9% 18%1% .% 1% 0% 1% .%8% 6% 8% 7% 16% 6%6% 9% 13% 9% 11% 4%3% 1% 1% 3% 3% 4%

Page 393: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30029% 24% 37% 23% 37% 27%19% 11% 11% 12% 10% 8%34% 28% 27% 19% 25% 24%17% 15% 11% 13% 11% 9%46% 38% 47% 26% 47% 34%54% 51% 51% 28% 52% 47%31% 23% 34% 26% 36% 19%38% 29% 13% 21% 32% 13%32% 26% 26% 17% 36% 22%18% 16% 9% 5% 14% 10%2% 2% 1% 4% 4% 1%

52% 54% 54% 26% 50% 40%18% 31% 22% 15% 19% 19%18% 30% 32% 24% 25% 10%7% 5% 4% 6% 6% 6%

CL CO PE SV VZ UY

500 300 300 150 250 30028% 28% 35% 19% 38% 24%17% 16% 7% 15% 10% 8%32% 33% 26% 25% 24% 24%18% 18% 13% 14% 9% 11%42% 36% 39% 27% 43% 32%52% 52% 51% 37% 54% 39%22% 29% 33% 26% 29% 16%32% 29% 14% 13% 29% 15%30% 27% 30% 17% 33% 18%15% 14% 6% 7% 10% 9%2% 3% 1% 5% 1% 1%

44% 45% 46% 22% 39% 37%14% 21% 17% 17% 13% 14%15% 26% 29% 21% 23% 11%6% 4% 5% 6% 6% 6%

Page 394: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30054% 52% 52% 42% 44% 35%27% 29% 36% 35% 32% 30%19% 19% 12% 23% 24% 35%

CL CO PE SV VZ UY

500 300 300 150 250 30046% 62% 65% 39% 61% 48%36% 24% 24% 45% 15% 22%18% 14% 11% 16% 24% 29%

Page 395: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30048% 66% 50% 39% 53% 49%30% 21% 37% 42% 27% 22%22% 13% 13% 19% 20% 29%

CL CO PE SV VZ UY

500 300 300 150 250 30048% 59% 69% 50% 54% 56%33% 31% 19% 36% 18% 18%19% 10% 12% 14% 27% 26%

CL CO PE SV VZ UY

500 300 300 150 250 30030% 18% 20% 18% 24% 22%38% 25% 25% 21% 31% 29%21% 15% 22% 23% 23% 13%

Page 396: 2014 Millennial Survey Regions and Countries Dataset

43% 39% 32% 28% 47% 30%69% 74% 67% 51% 69% 56%59% 67% 60% 31% 58% 54%52% 64% 60% 40% 60% 46%32% 30% 37% 23% 37% 19%29% 42% 37% 33% 41% 24%7% 4% 2% 5% 5% 4%2% 1% 1% 1% 2% 3%

CL CO PE SV VZ UY

500 300 300 150 250 30022% 24% 22% 20% 25% 22%4% 5% 1% 9% 3% 5%

15% 8% 12% 9% 14% 21%7% 6% 10% 13% 8% 2%

10% 15% 17% 13% 8% 9%12% 8% 10% 9% 8% 11%3% 4% 3% 5% 4% 4%

23% 28% 23% 17% 25% 21%3% 1% 0% 2% 1% 2%3% 1% 1% 2% 4% 5%

CL CO PE SV VZ UY

500 300 300 150 250 3003% 4% 3% 5% 3% 4%9% 9% 9% 24% 13% 9%

43% 44% 48% 34% 50% 42%42% 43% 39% 30% 28% 39%

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3% 1% 2% 6% 6% 5%

CL CO PE SV VZ UY

500 300 300 150 250 30045% 53% 47% 39% 49% 42%38% 36% 43% 44% 39% 40%13% 7% 8% 11% 7% 10%4% 4% 2% 6% 5% 8%

CL CO PE SV VZ UY

500 300 300 150 250 300

Page 398: 2014 Millennial Survey Regions and Countries Dataset

62% 71% 72% 53% 67% 56%29% 22% 25% 33% 25% 37%5% 5% 2% 10% 3% 2%3% 2% 1% 4% 5% 5%

CL CO PE SV VZ UY

500 300 300 150 250 30062% 70% 66% 56% 65% 60%30% 27% 30% 34% 28% 30%5% 2% 3% 7% 3% 4%2% 1% 1% 4% 4% 6%

CL CO PE SV VZ UY

500 300 300 150 250 30065% 74% 73% 57% 71% 68%27% 21% 25% 30% 21% 26%5% 4% 2% 10% 3% 2%3% 1% 0% 3% 5% 5%

Page 399: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30014% 18% 23% 25% 33% 15%15% 15% 19% 25% 18% 11%29% 28% 30% 30% 33% 28%42% 38% 28% 20% 17% 46%

CL CO PE SV VZ UY

500 300 300 150 250 30016% 19% 21% 24% 36% 17%19% 16% 24% 28% 20% 11%29% 37% 33% 30% 31% 33%35% 29% 23% 18% 13% 39%

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CL CO PE SV VZ UY

500 300 300 150 250 30017% 23% 30% 24% 45% 20%21% 23% 25% 35% 26% 21%31% 30% 27% 27% 21% 32%31% 24% 18% 14% 8% 26%

CL CO PE SV VZ UY

500 300 300 150 250 30017% 21% 25% 21% 38% 19%21% 19% 27% 33% 27% 17%31% 32% 28% 31% 26% 32%30% 27% 19% 15% 9% 32%

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CL CO PE SV VZ UY

500 300 300 150 250 30040% 42% 40% 31% 46% 46%25% 25% 29% 36% 24% 20%13% 12% 14% 12% 9% 7%6% 9% 6% 9% 6% 7%

16% 11% 10% 11% 15% 21%

CL CO PE SV VZ UY

500 300 300 150 250 30038% 41% 44% 28% 49% 43%29% 28% 34% 39% 23% 23%14% 15% 12% 18% 12% 12%4% 6% 3% 4% 5% 3%

15% 10% 8% 10% 12% 19%

CL CO PE SV VZ UY

500 300 300 150 250 30035% 41% 47% 27% 45% 28%54% 54% 47% 60% 43% 46%

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9% 4% 6% 12% 10% 20%2% 1% 1% 1% 2% 6%

CL CO PE SV VZ UY

500 300 300 150 250 30048% 53% 59% 45% 70% 49%23% 28% 25% 31% 21% 25%13% 11% 7% 11% 5% 5%4% 6% 4% 6% 6% 4%

12% 11% 10% 5% 6% 13%16% 10% 7% 9% 5% 18%

Page 403: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30078% 72% 69% 58% 57% 58%15% 20% 15% 28% 19% 17%6% 6% 4% 5% 3% 4%2% 1% 2% 6% 3% 2%3% 3% 5% .% 4% 5%4% 8% 11% 10% 19% 24%

CL CO PE SV VZ UY

500 300 300 150 250 30033% 38% 37% 28% 26% 26%23% 29% 21% 25% 20% 23%4% 5% 4% 8% 3% 2%2% 2% 2% 6% 2% 2%2% 3% 3% 1% 2% 4%

40% 28% 34% 35% 50% 47%

CL CO PE SV VZ UY

500 300 300 150 250 30080% 75% 71% 59% 75% 67%8% 10% 7% 16% 6% 9%3% 1% 4% 7% 1% 1%1% 1% 1% 4% 2% 2%2% 3% 3% 2% 2% 3%

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10% 12% 18% 17% 16% 24%

CL CO PE SV VZ UY

500 300 300 150 250 30052% 63% 66% 65% 62% 62%9% 10% 6% 15% 9% 9%4% 1% 2% 3% 2% 3%3% 1% 2% 3% 2% 2%2% 4% 5% 4% 2% 3%

33% 23% 21% 15% 26% 27%

CL CO PE SV VZ UY

500 300 300 150 250 30041% 38% 25% 32% 32% 24%29% 27% 27% 28% 27% 27%4% 2% 2% 4% 2% 2%3% 7% 6% 5% 3% 3%1% 1% 1% 3% 2% 2%

28% 31% 40% 32% 39% 48%

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CL CO PE SV VZ UY

500 300 300 150 250 30038% 37% 33% 31% 24% 27%23% 28% 29% 27% 20% 19%4% 5% 4% 6% 1% 3%3% 2% 3% 4% 2% 3%2% 3% 3% 4% 2% 6%

33% 29% 32% 31% 53% 48%

CL CO PE SV VZ UY

500 300 300 150 250 30025% 29% 32% 31% 29% 27%8% 9% 7% 19% 9% 7%4% 2% 3% 3% 2% 2%2% 1% 3% 5% 1% 2%2% 2% 1% 5% 3% 2%

62% 57% 55% 41% 58% 63%

CL CO PE SV VZ UY

500 300 300 150 250 30013% 21% 20% 31% 33% 10%25% 26% 31% 25% 35% 18%36% 39% 40% 18% 25% 16%49% 56% 50% 33% 55% 35%10% 9% 8% 8% 14% 10%6% 5% 4% 12% 14% 4%

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10% 9% 10% 13% 5% 10%4% 4% 8% 11% 2% 9%

11% 7% 5% 8% 8% 12%15% 10% 9% 2% 9% 20%

Connect to another physical item (thermostat, car, fitness band, etc.)

CL CO PE SV VZ UY

500 300 300 150 250 30014% 17% 17% 11% 12% 8%8% 13% 13% 11% 6% 7%

12% 13% 15% 13% 7% 7%11% 15% 13% 13% 13% 12%10% 9% 11% 10% 9% 14%15% 15% 13% 17% 21% 24%28% 19% 17% 24% 33% 28%

Page 407: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30062% 61% 59% 46% 52% 42%13% 19% 16% 20% 17% 24%9% 9% 11% 16% 11% 15%5% 3% 5% 4% 3% 5%3% 3% 2% 5% 4% 2%3% 3% 3% 6% 8% 5%5% 2% 5% 3% 6% 8%

CL CO PE SV VZ UY

500 300 300 150 250 30030% 33% 31% 25% 26% 17%16% 21% 19% 19% 12% 21%16% 20% 18% 27% 19% 25%14% 12% 11% 13% 13% 11%10% 5% 5% 5% 6% 6%6% 6% 8% 4% 13% 7%8% 3% 9% 7% 12% 12%

CL CO PE SV VZ UY

Page 408: 2014 Millennial Survey Regions and Countries Dataset

500 300 300 150 250 30042% 48% 46% 43% 39% 45%17% 21% 18% 20% 20% 18%22% 14% 15% 12% 15% 16%7% 7% 7% 6% 6% 7%4% 2% 2% 6% 4% 1%3% 4% 3% 3% 6% 3%5% 5% 8% 9% 10% 10%

CL CO PE SV VZ UY

500 300 300 150 250 30031% 30% 46% 40% 58% 64%20% 24% 16% 21% 14% 13%14% 18% 18% 15% 11% 11%11% 12% 7% 8% 3% 4%9% 8% 4% 6% 2% 1%7% 5% 5% 4% 7% 2%7% 4% 4% 5% 5% 5%

CL CO PE SV VZ UY

500 300 300 150 250 3005% 8% 4% 8% 5% 5%5% 6% 4% 11% 3% 2%7% 10% 10% 10% 4% 7%5% 11% 11% 12% 8% 7%6% 5% 7% 9% 3% 6%

10% 10% 10% 10% 12% 14%62% 50% 54% 40% 64% 60%

Page 409: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30037% 42% 31% 24% 29% 15%19% 24% 18% 23% 18% 17%18% 18% 18% 25% 18% 28%11% 7% 13% 9% 12% 14%5% 1% 4% 4% 5% 7%3% 3% 7% 8% 10% 6%6% 4% 9% 6% 8% 13%

CL CO PE SV VZ UY

500 300 300 150 250 3009% 8% 5% 10% 8% 6%9% 11% 4% 17% 2% 5%

13% 9% 15% 9% 9% 7%9% 13% 10% 12% 8% 7%7% 6% 11% 13% 8% 8%9% 14% 9% 10% 11% 9%

45% 39% 45% 29% 53% 58%

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CL CO PE SV VZ UY

500 300 300 150 250 30011% 7% 5% 8% 13% 4%10% 12% 5% 12% 12% 3%13% 11% 12% 12% 12% 4%14% 12% 15% 13% 14% 12%11% 10% 13% 9% 9% 7%12% 13% 11% 15% 13% 10%30% 35% 39% 31% 26% 60%

CL CO PE SV VZ UY

500 300 300 150 250 30027% 33% 26% 32% 33% 24%21% 26% 26% 20% 24% 23%18% 18% 17% 18% 11% 18%10% 7% 12% 10% 7% 10%8% 5% 4% 4% 7% 4%5% 6% 5% 10% 8% 5%

12% 5% 10% 7% 10% 16%

CL CO PE SV VZ UY

500 300 300 150 250 30030% 25% 26% 25% 30% 19%18% 21% 17% 18% 16% 12%21% 26% 29% 26% 22% 33%

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15% 16% 13% 14% 15% 18%8% 6% 4% 4% 3% 5%4% 4% 7% 4% 6% 4%4% 2% 4% 8% 7% 8%

CL CO PE SV VZ UY

500 300 300 150 250 30024% 18% 16% 16% 21% 9%17% 14% 14% 12% 8% 11%19% 23% 20% 19% 14% 22%10% 13% 13% 15% 16% 9%9% 6% 6% 8% 6% 9%

10% 16% 13% 12% 18% 19%10% 11% 18% 18% 17% 22%

CL CO PE SV VZ UY

500 300 300 150 250 30010% 10% 8% 11% 9% 6%8% 6% 6% 13% 6% 4%

11% 12% 9% 9% 5% 8%11% 12% 14% 8% 15% 12%14% 14% 12% 12% 13% 7%12% 20% 14% 10% 20% 21%33% 27% 36% 36% 32% 42%

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CL CO PE SV VZ UY

500 300 300 150 250 3003% 5% 3% 7% 4% 7%6% 10% 3% 6% 4% 5%6% 11% 13% 9% 6% 9%

12% 17% 12% 8% 14% 10%9% 13% 9% 7% 8% 10%

16% 11% 10% 15% 12% 13%48% 33% 50% 48% 53% 45%

CL CO PE SV VZ UY

500 300 300 150 250 30011% 10% 12% 11% 11% 11%12% 12% 11% 11% 9% 10%20% 16% 22% 16% 10% 19%21% 21% 20% 13% 13% 20%15% 15% 8% 16% 14% 10%9% 11% 5% 8% 15% 10%

12% 14% 23% 26% 27% 19%

CL CO PE SV VZ UY

Page 413: 2014 Millennial Survey Regions and Countries Dataset

500 300 300 150 250 30010% 9% 6% 13% 4% 5%7% 8% 6% 12% 6% 8%9% 7% 10% 10% 3% 7%9% 8% 7% 12% 5% 5%7% 7% 6% 8% 5% 5%9% 10% 9% 7% 8% 11%

49% 51% 56% 39% 69% 59%

CL CO PE SV VZ UY

500 300 300 150 250 30067% 74% 76% 56% 77% 65%27% 22% 21% 34% 18% 25%4% 3% 3% 7% 2% 5%1% 1% 1% 3% 3% 4%

Page 414: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30039% 44% 34% 40% 45% 26%40% 34% 45% 42% 34% 42%16% 16% 15% 15% 16% 22%5% 6% 5% 4% 5% 9%

Table g89[{q91}].mA - A company that provides bundled services for one price (e.g. home internet / mobile plans / devices) : When you choose which brands or companies to purchase personal technology (both devices and data / internet connections) please indicate how important each factor is to your decision personally.

CL CO PE SV VZ UY

500 300 300 150 250 30049% 57% 51% 43% 55% 33%34% 33% 37% 43% 24% 39%13% 7% 10% 12% 16% 17%4% 3% 2% 2% 6% 11%

CL CO PE SV VZ UY

500 300 300 150 250 30041% 50% 46% 36% 45% 39%37% 34% 40% 47% 33% 35%19% 14% 12% 14% 16% 18%3% 2% 2% 2% 6% 7%

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CL CO PE SV VZ UY

500 300 300 150 250 30056% 54% 58% 39% 62% 47%33% 32% 33% 47% 26% 34%9% 10% 7% 11% 9% 12%2% 4% 3% 3% 4% 7%

CL CO PE SV VZ UY

500 300 300 150 250 30022% 19% 20% 18% 18% 17%34% 30% 35% 46% 25% 31%27% 34% 33% 24% 34% 25%16% 17% 12% 11% 22% 27%

CL CO PE SV VZ UY

500 300 300 150 250 30045% 56% 62% 46% 61% 41%36% 33% 30% 39% 24% 31%14% 8% 6% 11% 8% 19%4% 3% 2% 4% 7% 9%

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CL CO PE SV VZ UY

500 300 300 150 250 30028% 24% 26% 35% 24% 17%38% 38% 46% 41% 27% 33%34% 39% 28% 24% 48% 50%

CL CO PE SV VZ UY

500 300 300 150 250 30059% 65% 68% 52% 69% 53%29% 30% 26% 37% 22% 35%11% 4% 5% 12% 9% 12%

Page 417: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30042% 44% 46% 34% 36% 42%35% 39% 38% 47% 35% 34%23% 17% 16% 19% 29% 24%

CL CO PE SV VZ UY

500 300 300 150 250 30066% 69% 65% 62% 72% 59%29% 25% 30% 31% 20% 31%5% 6% 4% 7% 7% 9%

CL CO PE SV VZ UY

500 300 300 150 250 30042% 36% 35% 35% 55% 15%30% 39% 38% 30% 25% 25%28% 24% 27% 35% 21% 60%

Page 418: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30058% 64% 58% 52% 71% 61%32% 28% 34% 40% 19% 28%11% 8% 8% 8% 11% 11%

CL CO PE SV VZ UY

500 300 300 150 250 30040% 46% 44% 44% 42% 36%43% 38% 41% 42% 39% 35%17% 16% 15% 14% 20% 29%

CL CO PE SV VZ UY

500 300 300 150 250 30057% 57% 66% 54% 59% 56%32% 36% 28% 38% 33% 33%11% 8% 6% 7% 8% 11%

Page 419: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30036% 28% 31% 26% 36% 28%33% 41% 41% 38% 28% 36%32% 31% 28% 36% 36% 36%

CL CO PE SV VZ UY

500 300 300 150 250 30023% 27% 20% 34% 28% 20%36% 40% 37% 45% 31% 28%41% 34% 43% 20% 41% 53%

CL CO PE SV VZ UY

500 300 300 150 250 30029% 31% 24% 27% 34% 18%39% 40% 47% 44% 33% 33%32% 29% 29% 28% 33% 49%

Page 420: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30027% 29% 35% 24% 33% 22%33% 45% 37% 38% 24% 34%39% 26% 28% 37% 44% 45%

CL CO PE SV VZ UY

500 300 300 150 250 30055% 58% 60% 51% 61% 50%33% 33% 32% 38% 30% 33%12% 9% 9% 11% 9% 17%

CL CO PE SV VZ UY

500 300 300 150 250 30032% 40% 46% 38% 34% 30%39% 42% 40% 44% 35% 35%30% 18% 15% 17% 31% 35%

Page 421: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30023% 24% 22% 30% 17% 28%36% 43% 42% 32% 21% 40%41% 34% 36% 39% 62% 33%

CL CO PE SV VZ UY

500 300 300 150 250 30022% 23% 28% 32% 25% 17%44% 41% 40% 43% 28% 31%34% 36% 31% 26% 47% 52%

CL CO PE SV VZ UY

500 300 300 150 250 30018% 17% 19% 21% 16% 17%33% 44% 41% 29% 37% 39%16% 17% 23% 19% 13% 28%

Page 422: 2014 Millennial Survey Regions and Countries Dataset

35% 32% 34% 23% 42% 37%20% 21% 26% 14% 23% 14%15% 15% 13% 16% 16% 23%12% 9% 7% 19% 10% 9%36% 31% 34% 31% 29% 30%14% 8% 9% 12% 8% 12%5% 5% 3% 15% 6% 9%

15% 13% 12% 10% 15% 8%13% 12% 10% 14% 21% 7%23% 22% 19% 18% 24% 17%22% 33% 32% 24% 21% 24%7% 9% 6% 12% 4% 11%

10% 11% 11% 19% 11% 11%4% 2% 2% 3% 4% 4%

CL CO PE SV VZ UY

500 300 300 150 250 30048% 55% 41% 38% 48% 44%27% 31% 26% 28% 25% 21%40% 29% 35% 23% 35% 33%

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10% 10% 11% 14% 9% 15%2% .% 3% 1% 3% 6%

CL CO PE SV VZ UY

500 300 300 150 250 30012% 11% 13% 12% 11% 10%13% 12% 12% 17% 9% 9%25% 26% 27% 16% 18% 19%64% 69% 63% 54% 70% 66%4% 5% 7% 3% 4% 10%

CL CO PE SV VZ UY

500 300 300 150 250 30018% 17% 17% 17% 14% 13%16% 17% 22% 18% 17% 14%36% 35% 34% 31% 27% 33%47% 49% 44% 36% 52% 52%3% 3% 6% 4% 4% 9%

Page 424: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30014% 13% 14% 12% 10% 9%11% 13% 14% 20% 9% 7%27% 27% 21% 23% 18% 21%61% 67% 62% 45% 70% 65%5% 4% 7% 3% 7% 12%

CL CO PE SV VZ UY

500 300 300 150 250 30013% 11% 10% 12% 11% 10%7% 9% 11% 14% 9% 5%

18% 14% 15% 14% 8% 13%21% 19% 15% 17% 18% 18%61% 68% 66% 44% 67% 70%

CL CO PE SV VZ UY

500 300 300 150 250 30014% 14% 14% 14% 10% 11%13% 16% 18% 18% 15% 9%36% 27% 32% 38% 29% 26%50% 54% 47% 26% 56% 48%12% 13% 14% 11% 11% 25%

Page 425: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30029% 27% 34% 25% 33% 30%22% 28% 26% 23% 27% 21%46% 39% 39% 34% 35% 35%28% 29% 22% 21% 21% 27%5% 1% 3% 4% 5% 10%

CL CO PE SV VZ UY

500 300 300 150 250 30039% 44% 32% 30% 37% 38%12% 15% 19% 19% 13% 11%37% 31% 34% 31% 35% 32%

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10% 9% 13% 16% 12% 15%1% 2% 1% 4% 2% 4%

CL CO PE SV VZ UY

500 300 300 150 250 30011% 7% 7% 12% 9% 7%7% 6% 8% 16% 3% 6%

22% 15% 18% 18% 16% 18%57% 71% 65% 51% 68% 65%2% 1% 2% 3% 3% 4%

CL CO PE SV VZ UY

500 300 300 150 250 30011% 9% 12% 11% 9% 8%9% 11% 12% 19% 8% 7%

34% 33% 32% 29% 27% 30%44% 46% 42% 39% 53% 51%1% 1% 3% 1% 3% 4%

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CL CO PE SV VZ UY

500 300 300 150 250 30011% 7% 9% 10% 9% 8%7% 6% 9% 11% 5% 5%

27% 25% 21% 31% 17% 25%53% 62% 60% 44% 66% 58%2% 1% 2% 4% 3% 5%

CL CO PE SV VZ UY

500 300 300 150 250 30011% 5% 7% 12% 8% 6%6% 5% 6% 15% 3% 4%

16% 11% 13% 19% 12% 9%17% 15% 11% 14% 15% 15%51% 63% 63% 39% 61% 66%

CL CO PE SV VZ UY

500 300 300 150 250 30012% 7% 8% 12% 8% 5%6% 7% 8% 17% 4% 7%

31% 27% 32% 35% 24% 24%45% 53% 42% 28% 57% 45%6% 6% 10% 7% 7% 18%

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CL CO PE SV VZ UY

500 300 300 150 250 30024% 24% 27% 23% 28% 23%12% 16% 18% 21% 13% 15%43% 35% 37% 33% 40% 37%19% 24% 18% 20% 17% 19%2% 2% 1% 4% 2% 5%

CL CO PE SV VZ UY

500 300 300 150 250 30045% 47% 42% 64% 48% 40%55% 53% 58% 36% 52% 60%

CL CO PE SV VZ UY

500 300 300 150 250 30071% 76% 75% 59% 80% 73%29% 24% 25% 41% 20% 27%

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CL CO PE SV VZ UY

500 300 300 150 250 30028% 33% 28% 27% 34% 35%70% 72% 75% 50% 70% 64%42% 49% 42% 33% 40% 31%14% 10% 10% 16% 16% 19%

CL CO PE SV VZ UY

500 300 300 150 250 30041% 48% 54% 40% 54% 33%38% 36% 32% 38% 32% 37%16% 15% 12% 15% 8% 19%6% 1% 3% 8% 5% 11%

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CL CO PE SV VZ UY

500 300 300 150 250 30036% 42% 48% 33% 45% 25%37% 39% 35% 40% 38% 41%20% 16% 16% 21% 11% 22%8% 3% 2% 6% 6% 12%

CL CO PE SV VZ UY

500 300 300 150 250 30048% 56% 61% 46% 63% 45%36% 36% 29% 34% 25% 37%12% 7% 8% 15% 8% 12%5% 2% 2% 5% 3% 6%

CL CO PE SV VZ UY

500 300 300 150 250 30051% 53% 53% 44% 43% 30%33% 33% 28% 34% 33% 35%

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10% 9% 12% 10% 13% 21%5% 5% 6% 11% 11% 14%

CL CO PE SV VZ UY

500 300 300 150 250 30024% 15% 20% 18% 18% 18%19% 23% 29% 21% 22% 22%6% 4% 4% 9% 5% 3%

19% 21% 30% 24% 17% 23%17% 13% 17% 19% 15% 11%5% 5% 7% 17% 5% 4%

47% 50% 40% 35% 53% 49%

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CL CO PE SV VZ UY

500 300 300 150 250 30024% 26% 25% 15% 18% 16%30% 39% 38% 40% 38% 30%28% 24% 23% 27% 30% 32%17% 11% 14% 18% 13% 22%

CL CO PE SV VZ UY

500 300 300 150 250 30026% 19% 17% 20% 16% 17%42% 40% 48% 50% 26% 37%25% 29% 25% 19% 34% 28%8% 11% 10% 11% 24% 18%

CL CO PE SV VZ UY

500 300 300 150 250 30024% 32% 27% 25% 12% 17%31% 24% 31% 36% 16% 30%22% 26% 22% 21% 22% 27%23% 17% 20% 18% 50% 25%

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CL CO PE SV VZ UY

500 300 300 150 250 30031% 35% 27% 22% 16% 21%28% 31% 33% 41% 19% 29%21% 21% 19% 22% 23% 26%19% 13% 21% 15% 42% 24%

CL CO PE SV VZ UY

500 300 300 150 250 30024% 25% 27% 18% 24% 14%34% 36% 42% 40% 38% 32%23% 25% 16% 25% 23% 27%19% 15% 15% 17% 15% 28%

CL CO PE SV VZ UY

500 300 300 150 250 30023% 25% 28% 19% 25% 17%32% 38% 42% 39% 39% 32%26% 27% 20% 25% 23% 29%19% 10% 9% 17% 14% 22%

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CL CO PE SV VZ UY

500 300 300 150 250 30020% 22% 21% 17% 24% 18%35% 43% 50% 44% 39% 31%27% 23% 18% 25% 22% 27%18% 12% 12% 14% 15% 24%

CL CO PE SV VZ UY

500 300 300 150 250 30023% 18% 19% 22% 22% 23%30% 38% 35% 34% 23% 39%36% 38% 36% 28% 34% 28%11% 7% 10% 17% 21% 10%

CL CO PE SV VZ UY

500 300 300 150 250 30011% 8% 8% 10% 10% 10%30% 37% 29% 29% 34% 21%28% 29% 32% 23% 24% 26%31% 26% 31% 39% 32% 42%

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CL CO PE SV VZ UY

500 300 300 150 250 30054% 50% 64% 44% 45% 32%36% 42% 29% 35% 39% 42%8% 6% 6% 13% 11% 20%2% 2% 1% 7% 4% 6%

CL CO PE SV VZ UY

500 300 300 150 250 30031% 39% 40% 46% 32% 28%56% 54% 51% 40% 56% 47%13% 7% 9% 14% 12% 26%

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CL CO PE SV VZ UY

210 134 110 58 112 9449% 63% 61% 49% 63% 51%36% 27% 29% 32% 21% 26%15% 10% 11% 19% 17% 23%

CL CO PE SV VZ UY

210 134 110 58 112 9441% 58% 62% 40% 50% 42%44% 38% 33% 47% 35% 39%15% 3% 5% 13% 15% 19%

CL CO PE SV VZ UY

210 134 110 58 112 9444% 50% 42% 40% 35% 37%38% 41% 47% 47% 46% 44%

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18% 9% 11% 13% 19% 19%

CL CO PE SV VZ UY

500 300 300 150 250 30060% 65% 57% 48% 77% 76%40% 35% 43% 52% 23% 24%

CL CO PE SV VZ UY

500 300 300 150 250 3006% 6% 8% 7% 7% 5%

13% 15% 17% 19% 13% 12%31% 32% 33% 20% 32% 26%34% 35% 22% 23% 25% 22%22% 29% 30% 28% 34% 39%18% 12% 19% 18% 12% 22%58% 58% 57% 44% 50% 52%8% 8% 10% 21% 12% 13%

26% 30% 35% 28% 33% 30%22% 17% 14% 20% 19% 21%19% 17% 25% 25% 20% 12%15% 18% 14% 23% 17% 18%11% 11% 9% 14% 10% 9%17% 12% 7% 10% 17% 20%

Page 438: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 30040% 35% 38% 35% 39% 37%78% 86% 74% 58% 78% 79%7% 6% 7% 17% 10% 8%

49% 50% 40% 48% 50% 45%18% 22% 34% 26% 17% 17%4% 3% 2% 9% 3% 9%1% 0% 2% 3% 2% 3%

CL CO PE SV VZ UY

500 300 300 150 250 30047% 56% 50% 32% 54% 45%18% 20% 15% 20% 23% 16%20% 30% 26% 23% 23% 28%12% 18% 14% 26% 14% 19%46% 43% 44% 28% 43% 33%21% 19% 17% 15% 22% 17%26% 28% 28% 20% 33% 18%2% 1% 1% 3% 1% 3%

CL CO PE SV VZ UY

Page 439: 2014 Millennial Survey Regions and Countries Dataset

500 300 300 150 250 3004% 8% 5% 8% 15% 15%0% 0% 1% 2% .% 0%

18% 25% 44% 31% 26% 33%63% 10% 19% 9% 11% 12%1% 32% 4% 4% 5% 0%1% 1% 1% 8% .% 1%1% .% 3% 5% 0% 1%.% 0% .% 1% 0% 1%.% 1% .% 1% 1% .%.% 0% .% 3% 0% 0%0% 0% .% 1% 0% 0%.% 0% 1% .% 0% 0%0% 0% .% 1% 1% .%

10% 12% 10% 11% 8% 10%.% 0% 0% .% 0% .%1% 7% 2% 4% 14% 1%0% .% 0% 0% 0% 2%.% 0% 7% 1% 0% 1%.% .% 1% 3% .% 2%.% .% 1% 0% 1% 21%1% .% 0% 6% 18% 1%

CL CO PE SV VZ UY

500 300 300 150 250 30010% 4% 4% 8% 5% 11%22% 22% 12% 9% 8% 16%43% 49% 41% 19% 38% 32%25% 25% 43% 64% 49% 41%

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CL CO PE SV VZ UY

500 300 300 150 250 30038% 54% 46% 43% 52% 44%14% 11% 9% 12% 7% 14%16% 11% 15% 17% 12% 11%25% 21% 28% 19% 23% 20%7% 2% 1% 8% 5% 11%

CL CO PE SV VZ UY

500 300 299 150 250 3001% 1% 1% 1% 7% 1%

27% 28% 30% 25% 24% 28%19% 19% 19% 16% 11% 16%8% 7% 11% 15% 4% 12%

22% 24% 16% 17% 34% 22%1% 2% 7% 0% 3% 1%0% 0% 0% 1% 0% 0%0% 0% 2% .% 2% 1%.% 1% 0% 2% .% 1%

15% 16% 12% 19% 14% 12%0% 0% .% 1% 0% .%6% 2% 1% 3% 2% 7%

CL CO PE SV VZ UY

500 300 300 150 250 30084% 85% 86% 77% 73% 79%

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9% 10% 9% 9% 16% 16%5% 3% 5% 5% 9% 3%2% 1% .% 9% 3% 3%

CL CO PE SV VZ UY

500 300 300 150 250 30040% 43% 40% 27% 38% 60%8% 11% 14% 6% 11% 2%

38% 32% 38% 52% 39% 27%6% 7% 3% 2% 5% .%5% 6% 5% 3% 5% 7%2% 2% 1% 10% 2% 4%

CL CO PE SV VZ UY

500 300 300 150 250 30034% 48% 49% 37% 53% 35%54% 44% 44% 41% 37% 53%12% 8% 7% 22% 10% 12%

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CL CO PE SV VZ UY

500 300 300 150 250 30072% 62% 74% 68% 73% 71%11% 20% 12% 10% 14% 4%14% 15% 13% 7% 9% 18%1% 1% 1% 3% 1% 3%0% 0% 0% 1% 0% .%2% 2% 0% 10% 3% 3%

CL CO PE SV VZ UY

500 300 300 150 250 30052% 48% 58% 67% 64% 33%7% 11% 10% 9% 10% 12%4% 2% 1% 7% 2% 10%1% 1% 1% 1% .% 3%

16% 17% 11% 6% 11% 17%11% 16% 13% 5% 8% 10%9% 5% 6% 5% 5% 15%

CL CO PE SV VZ UY

500 300 300 150 250 30016% 13% 24% 16% 23% 17%31% 25% 27% 50% 29% 21%4% 7% 4% 2% 3% 3%

47% 55% 46% 26% 45% 56%2% 1% 0% 3% 1% 2%1% 0% 0% 4% .% 1%

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CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

500 300 300 150 250 30012% 17% 19% 8% 14% 8%10% 9% 8% 6% 8% 10%7% 9% 7% 3% 5% 4%3% 3% 2% 2% 1% 1%2% 1% 1% 2% 2% .%

67% 66% 65% 68% 72% 77%5% 2% 3% 15% 4% 4%

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CL CO PE SV VZ UY

500 300 300 150 250 30041% 52% 64% 59% 51% 23%1% .% 0% .% 1% 1%.% 0% .% 1% 1% .%3% 1% 1% .% 1% .%.% 1% 0% 0% 0% .%.% 0% 0% 0% 0% 1%.% .% .% 0% 0% .%0% .% 1% 1% .% 1%.% 0% 0% 0% 0% .%8% 12% 14% 6% 14% 7%

38% 25% 14% 21% 24% 56%10% 8% 8% 13% 9% 12%

CL CO PE SV VZ UY

500 300 300 150 250 3003% 3% 3% 14% 5% 11%

13% 17% 9% 16% 8% 20%17% 25% 24% 17% 25% 8%16% 10% 16% 5% 10% 9%1% 2% 3% 4% 5% 3%

50% 43% 45% 43% 47% 49%

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CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

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0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

500 300 300 150 250 3002% 2% 2% 2% 1% 2%2% 1% 1% 3% 1% 2%1% 1% 1% 1% 1% 2%4% 5% 3% 8% 2% 1%4% 9% 7% 9% 6% 6%4% 5% 6% 3% 3% 2%8% 4% 6% 6% 5% 8%1% 0% 0% 1% 1% 1%1% .% 3% 1% 2% 2%

12% 7% 8% 5% 15% 4%18% 25% 23% 20% 29% 3%27% 31% 34% 27% 28% 32%15% 10% 7% 14% 8% 35%

CL CO PE SV VZ UY

500 300 300 150 250 30091% 99% 99% 25% 95% 70%9% 1% 1% 75% 5% 30%

Page 447: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

381 202 264 104 160 15959% 56% 52% 51% 47% 74%41% 44% 48% 49% 53% 26%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

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0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

Page 449: 2014 Millennial Survey Regions and Countries Dataset

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

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CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

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0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

Page 452: 2014 Millennial Survey Regions and Countries Dataset

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

500 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%4% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%5% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%5% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

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0% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%

43% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%.% 0% 0% 0% 0% 0%3% 0% 0% 0% 0% 0%9% 0% 0% 0% 0% 0%9% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

500 0% 0% 0% 0% 0%7% 0% 0% 0% 0% 0%

30% 0% 0% 0% 0% 0%16% 0% 0% 0% 0% 0%13% 0% 0% 0% 0% 0%

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7% 0% 0% 0% 0% 0%3% 0% 0% 0% 0% 0%

24% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

500 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%

19% 0% 0% 0% 0% 0%2% 0% 0% 0% 0% 0%

14% 0% 0% 0% 0% 0%60% 0% 0% 0% 0% 0%5% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 300 0% 0% 0% 0%0% 7% 0% 0% 0% 0%0% 8% 0% 0% 0% 0%0% 12% 0% 0% 0% 0%0% 15% 0% 0% 0% 0%0% 13% 0% 0% 0% 0%0% 14% 0% 0% 0% 0%0% 11% 0% 0% 0% 0%0% 7% 0% 0% 0% 0%0% 6% 0% 0% 0% 0%0% 8% 0% 0% 0% 0%

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CL CO PE SV VZ UY

0% 300 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% .% 0% 0% 0% 0%0% 13% 0% 0% 0% 0%0% 6% 0% 0% 0% 0%0% 13% 0% 0% 0% 0%0% .% 0% 0% 0% 0%0% 23% 0% 0% 0% 0%0% 13% 0% 0% 0% 0%0% 24% 0% 0% 0% 0%0% 5% 0% 0% 0% 0%0% 2% 0% 0% 0% 0%0% .% 0% 0% 0% 0%0% 1% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 300 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 15% 0% 0% 0% 0%0% .% 0% 0% 0% 0%0% 5% 0% 0% 0% 0%0% 2% 0% 0% 0% 0%0% 1% 0% 0% 0% 0%0% 1% 0% 0% 0% 0%0% .% 0% 0% 0% 0%0% 1% 0% 0% 0% 0%0% 1% 0% 0% 0% 0%0% .% 0% 0% 0% 0%

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CL CO PE SV VZ UY

0% 0% 0% 0% 0% 3000% 0% 0% 0% 0% .%0% 0% 0% 0% 0% 4%0% 0% 0% 0% 0% 42%0% 0% 0% 0% 0% 10%0% 0% 0% 0% 0% 31%0% 0% 0% 0% 0% 12%0% 0% 0% 0% 0% .%

CL CO PE SV VZ UY

500 300 300 150 250 30018% 24% 33% 12% 14% 10%82% 76% 67% 88% 86% 90%

CL CO PE SV VZ UY

Page 479: 2014 Millennial Survey Regions and Countries Dataset

500 300 300 150 250 30028% 32% 32% 17% 24% 20%67% 66% 65% 68% 72% 77%5% 2% 3% 15% 4% 4%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

Page 480: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

500 0% 0% 0% 0% 0%37% 0% 0% 0% 0% 0%30% 0% 0% 0% 0% 0%9% 0% 0% 0% 0% 0%

24% 0% 0% 0% 0% 0%

Page 481: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 0% 0% 0% 0% 0%1% 0% 0% 0% 0% 0%

35% 0% 0% 0% 0% 0%60% 0% 0% 0% 0% 0%5% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 300 0% 0% 0% 0%0% 14% 0% 0% 0% 0%0% 64% 0% 0% 0% 0%0% 13% 0% 0% 0% 0%0% 8% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 300 0% 0% 0% 0%0% .% 0% 0% 0% 0%0% 32% 0% 0% 0% 0%0% 67% 0% 0% 0% 0%0% 1% 0% 0% 0% 0%

Page 482: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

Page 483: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 300 0% 0% 0%0% 0% 37% 0% 0% 0%0% 0% 30% 0% 0% 0%0% 0% 8% 0% 0% 0%0% 0% 25% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 300 0% 0% 0%0% 0% 0% 0% 0% 0%

Page 484: 2014 Millennial Survey Regions and Countries Dataset

0% 0% 39% 0% 0% 0%0% 0% 61% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

Page 485: 2014 Millennial Survey Regions and Countries Dataset

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 250 0%0% 0% 0% 0% 30% 0%0% 0% 0% 0% 34% 0%0% 0% 0% 0% 4% 0%0% 0% 0% 0% 32% 0%

Page 486: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

0% 0% 0% 0% 250 0%0% 0% 0% 0% 3% 0%0% 0% 0% 0% 33% 0%0% 0% 0% 0% 63% 0%0% 0% 0% 0% 1% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

Page 487: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

Page 488: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

Page 489: 2014 Millennial Survey Regions and Countries Dataset

0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 150 0% 0%

Page 490: 2014 Millennial Survey Regions and Countries Dataset

0% 0% 0% 53% 0% 0%0% 0% 0% 18% 0% 0%0% 0% 0% 2% 0% 0%0% 0% 0% 26% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 150 0% 0%0% 0% 0% 2% 0% 0%0% 0% 0% 78% 0% 0%0% 0% 0% 19% 0% 0%0% 0% 0% 1% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 3000% 0% 0% 0% 0% 34%0% 0% 0% 0% 0% 17%0% 0% 0% 0% 0% 3%0% 0% 0% 0% 0% 46%

Page 491: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 3000% 0% 0% 0% 0% 4%0% 0% 0% 0% 0% 42%0% 0% 0% 0% 0% 54%0% 0% 0% 0% 0% .%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

Page 492: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%0% 0% 0% 0% 0% 0%

CL CO PE SV VZ UY

500 300 300 150 250 30037% 14% 37% 53% 30% 34%30% 64% 30% 18% 34% 17%9% 13% 8% 2% 4% 3%

24% 8% 25% 26% 32% 46%

Page 493: 2014 Millennial Survey Regions and Countries Dataset

CL CO PE SV VZ UY

500 300 300 150 250 3001% .% 0% 2% 3% 4%

35% 32% 39% 78% 33% 42%60% 67% 61% 19% 63% 54%5% 1% 0% 1% 1% .%

CL CO PE SV VZ UY

500 300 300 150 250 30037% 14% 37% 53% 30% 34%30% 64% 30% 18% 34% 17%9% 13% 8% 2% 4% 3%

24% 8% 25% 26% 32% 46%

CL CO PE SV VZ UY

500 300 300 150 250 3001% .% 0% 2% 3% 4%

35% 32% 39% 78% 33% 42%60% 67% 61% 19% 63% 54%5% 1% 0% 1% 1% .%