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Delivering online B2B and B2C sample from a robust collection of high-quality data for maximum feasibility, sustainability, representativeness and consistency PANEL BOOK

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Page 1: PANEL BOOK - Dynatainfo.dynata.com/rs/105-ZDT-791/images/Dynata-Panel-Book... · 2020. 10. 18. · consumers and business professionals globally, and an extensive library of individual

Delivering online B2B and B2C sample from a robust collection of high-quality data for maximum feasibility, sustainability, representativeness and consistency

PANEL BOOK

Page 2: PANEL BOOK - Dynatainfo.dynata.com/rs/105-ZDT-791/images/Dynata-Panel-Book... · 2020. 10. 18. · consumers and business professionals globally, and an extensive library of individual

22

Dynata is the world’s largest first-party data and insights

platform. With a reach that encompasses 62 million

consumers and business professionals globally, and an

extensive library of individual profile attributes collected

through surveys, Dynata is the cornerstone for precise,

trustworthy quality data. The company has built innovative

data services and solutions around its robust first-party

data offering to bring the voice of the customer to the

entire marketing continuum – from strategy, innovation,

and branding to advertising, measurement, and

optimisation. Dynata serves nearly 6,000 market research,

media and advertising agencies, publishers, consulting

and investment firms and corporate customers in North

America, South America, Europe, and Asia-Pacific.

Who is Dynata?

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Spanning specialty and hard-to-reach B2B audiences

GLOBAL REACH

5800customers in 94 countriesacross all major industries

six years running

YEARS OF INNOVATION

companies–2019Q1-Q2 GRIT REPORTGREENBOOK.ORG

INNOVATIVETOP 50

#9

QUALITYDELIVERABLES

#1MARKETRESEARCHCAREERS.COM

4 +

QUALITY FIRST-PARTY DATA

SCALEMATTERS

MANAGED UP-TO-DATE PRECISE

MILLIONPEOPLE REACHED

2,700+ PROFILE ATTRIBUTES

62

Unparalleled DEPTH AND BREADTH across six continents

97% completes with OUR OWN PARTICIPANTS

High quality 1st party data

Extensive survey testing and data verification attributes to

99.8% ERROR-FREEProject Delivery

100+MILLIONsurvey completes in 2019

Reliable

Relevant

Representative

GDPR Compliant

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EMEA | 11M

APAC | 21M

THE AMERICAS | 30M+

NORTH UNITED STATES

CANADA

MEXICO

SOUTH ARGENTINA

BRAZIL

COLOMBIA

CHILE

AUSTRALIA

CHINA

HONG KONG

INDIA

AUSTRIA

BELGIUM

BULGARIA

CZECH REPUBLIC

DENMARK

FINLAND

FRANCE

GERMANY

GREECE

HUNGARY

IRELAND

ITALY

NETHERLANDS

NORWAY

POLAND

PORTUGAL

ROMANIA

SLOVAKIA

SOUTH AFRICA

SPAIN

SWEDEN

SWITZERLAND

UNITED KINGDOM

INDONESIA

JAPAN

MALAYSIA

NEW ZEALAND

PHILIPPINES

SOUTH KOREA

SINGAPORE

TAIWAN

THAILAND

VIETNAM

Dynata is uniquely positioned to deliver the most

diverse B2B and B2C online sample globally for maximum

feasibility, sustainability, representativeness and consistency.

Our extensive reach lets us connect you to consumer,

business, specialty, or hard-to-reach audiences in more

than 45 countries around the world, quickly

and efficiently.

Global Footprint

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Dynata has a variety of sample sources such as panel, web

intercept sample, and specialty lists available to meet your

unique project requirements. Each of our recruitment channels

delivers a different population and slightly different results, thus

increasing diversity and representativeness.

Recruitment Methodologies

SOURCE NAME RECRUITMENT REWARDS STRENGTHS

Loyalty PanelsBy invitation to 1000's ofloyalty program members in travel, entertainment, media and retail.

Points or miles relevant to the program source.

More affluent. High quality. Leverage loyalty source quality controls.

Organic, Open Enrollment

& Partnerships

1000's of websites, social media influencers and mobile apps.

Reward points to redeem for cash and prizes, iTunes credits.

Less affluent. Younger, more ethnic minorities.

Affiliate Network

Broad range of websites, incl. schools, communities. Member logging into communities with valid username and passwordinvited to participate.

Reward points to redeem for cash and prizes.

Engage people who might not otherwise take part. Younger audiences. More frequent internet users.

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Our loyalty panels are actively managed, high-quality online

access panels built from two decades of experience. We run

“by-invitation-only”® recruitment campaigns via direct email

and achieve this by partnering with over 75 globally recognized

consumer and business-facing brands. Additionally, our panels

are localized – not just translated – with native language panel

support and country-specific reward choices. This ensures our

participants are attentive and content, resulting in accurate,

thoughtful answers and, ultimately, high-quality data.

We track and store all participant activity and assign a unique

ID which stays with them throughout their entire membership.

These tracking records consist of profile information provided

during enrollment, profile updates, survey screeners, past

survey participation, and client feedback. In addition to this,

our member privacy policies ensure participant’s identities

are protected when supplying data to our clients.

SELECTED PANEL

PARTNERS

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Data quality is at the forefront of Dynata’s role as a global

leader in first-party data and data services. Our recruitment

methodologies ensure our data assets are comprised of real

people who are giving reliable, accurate responses. We adhere

to the highest standards of sampling science across every aspect

of every project and sponsor extensive “research on research”

revealing critical insights into better sampling and survey design.

As part of the Total Research Quality system, we monitor the

quality of our data through various quality checks to save

you time and give you confidence in data accuracy such as

participation limits, screening questions, digital fingerprinting,

random and illogical responding, capturing and removing

flatliners and speeders. We also regularly measure participant

satisfaction on elements such as frequency of invitations,

value and diversity of incentives and redemption choices,

their willingness to complete various lengths of surveys, and

our level of responsiveness to any questions or concerns they

share with our Member Services team.

Our Approach to Data Quality

Dynata works to optimally blend our proprietary sample sources by conducting comparability tests and modeling the blend that will achieve the closest match to census and social benchmarks.

TOTAL RESEARCH QUALITY® SYSTEM COMPONENTS

Our Total Research Quality® system is a comprehensive integrated

system of tools, metrics, procedures, and policies that operates

throughout the entire lifecycle of each participant across every

project we complete to ensure our clients are receiving the highest

quality data available. The system begins long before the data is

collected and ends long after the analysis is complete.

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The only market research online sample supplier

evaluated by MRC to win an award for five

consecutive years, with 2019 marking the sixth

year as the combined company Dynata.

We also topped its nearest competitor in the

“Best Quality Deliverables” category by almost

10% in the 2019 survey.

Dynata achieved the No. 9 ranking in Greenbook’s GRIT Top 50 Most Innovative Suppliers in 2019. We have appeared in the top 10 four times and in the top 20 every year since the list debuted in 2011.

This industry recognition acknowledges our efforts to lead the market research industry in innovation based on our ongoing commitment to developing solutions that give our clients a competitive edge.

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99

With an extensive library of detailed business and consumer profile attributes

collected directly from individuals through survey data, you can benefit from a

trustworthy data resource that is designed and actively managed to deliver a

variety of advantages, including precise audience selection, reliability, and

superior feasibility.

Selected Profile Attributes

Basic Attributes • Business Type• Industry Segment • Annual Revenue • Number of Employees at All Locations • Number of Employees at Local Location

Business Professional• Title• Occupation• Functional Role• Purchase Decision Makers• Primary Role• Human Resources Role

Expanded Business Variables by Industry• Business Services• Computer Hardware• Computer Software• Consulting• Consumer Products• Consumer Services• Entertainment / Sports• Energy & Utilities / Oil & Gas• Food / Beverages / Restaurant • Media / Publishing

• Non-Profit • Retail• Telecommunications • Equipment • Travel / Hospitality / Leisure Legal Services • Legal Occupation• Legal Role

Real Estate • Type of Business• Primary Real Estate Role Banking / Financial Services / Insurance • Type of Business• Primary Role Transport & Logistics• Type of Business• Professional Driver Work Type

Education• Educator Role• Educator – Education Level Type • Educator – Educational Institute

BUSINESS

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1010

Government / Military • Law Enforcement / Emergency

Service Types• Military Branch of Part-Time Service• Military Branch Served• National Guard Service Branch • Military Service Status• Government Level of Employment Business Owner• Type of Business Owned / Operated• Type of Personal Service Healthcare• Healthcare / Medical Professionals • Nursing• Physician Primary Specialty

ITDM / IT Roles• Type of IT Professional• Developer Roles• Primary IT Functions/Responsibility• Roles in Various IT Areas Including: - PCs, Tablets, or Client Devices - Mobile Technology/Applications - Servers - Data Center - Cloud Computing - Network/Data Technology - Voice Technology - Business Applications & Process

Software - Business Intelligence, Big Data,

Analytics - Virtualisation Software - Unified Communications

CONSUMER

Basic Demographics• Gender• Age• Marital Status• Language• Number in Household• Children• Education• Household Income• Employment Status• Own or Rent• Region• Sexual Orientation• Religious Affiliation • Ethnicity or Race• Hispanic Origin• Registered Voter• Political Party Affiliation• Voter History

Automotive• Vehicles in Household• Type of Automobile• Primary Make, Model, Year• Secondary Make, Model, Year• DIY Maintenance • Intent to Buy

Home Features / Improvements • Home Improvement/ Upkeep / Repair • Role in Decision Making• Lawn Equipment Used Utilities • Service Provider• Role in Decision

Travel for Leisure • Travel Websites Used• Car Rentals• Airlines• Hotels

Interests / Hobbies• General• Health / Fitness / Wellness• Hobbies / Leisure • Outdoor Activities• Sports Activities

Electronics / Gadgets • Electronic Devices Owned (32 types)• Desktop & Notebook Computer

(19 brands)• Printer (14 brands)• Tablet or e-Reader (49 brands)• Online Activities • Internet (30 Providers)• Video Game Accessories • Video Game System (13 brands)

Mobile Phone • Mobile Phone Use• Type of Mobile Phone• Mobile Only Phone User• Operating Systems • Network Providers (16 providers)• Average Monthly Billing • Contract Type• Plan Type• Role in Decision• Phone Brand (22 brands)

BUSINESS CONT.

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1111

Tobacco Products• Products Used• Cigarettes by Brand (37 brands)• Smoking Habits & History• Smoking Cessation or Alternatives Used

Department Stores• Shopping Frequency • Items Purchased

Dining Out• Frequency • Amount Spent Per Person• Type of Restaurant • Considerations Insurance • Auto Insurance Provider (152 providers)• Home Insurance Provider (152 providers)• Health Insurance Provider (66 providers)• Health Insurance Coverage

Consumer Banking • Interest• Financial Advice (11 services)• Online Trading Accounts• Financial Advisor • Investment Account Types (13 types)• Investment Account Firm• Primary Brokerage Firm• Type of Checking Account• Primary Mutual Fund Firm (61 firms)• Retirement Firm (26 firms) • Total Investable Assets • Type of Investment • Financial Products • Credit Cards • Financial Institutions (134 banks)

Groceries• Primary Shopper• Stores Shopped (56 stores)• Amount Spent Per Week

Beer, Wine, Liquor • Beverage Consumption• Beer Consumption • Domestic / Import / Craft Beer Brands

(76 brands)• Wine Purchases • Liquor Type & Brands

Entertainment • Television• Books• Movies• Music• Magazine Readership (40 genres, 270 titles)• Radio Stations (39 markets)

General Household• Pets or Animals• Recreational Vehicles

Ailments and Health Conditions• Allergy / Asthma / Respiratory• Arthritis / Joint Ailments• Autoimmune / Blood• Cancer• Cardiovascular / Heart• Diabetes / Thyroid / Obesity• Gastric / Digestive / Urinary• Male / Female Health• Mental Health• Neurologic / Nervous• Pain• Skin / Dermatologic• Sleep Disorders• Vision / Hearing Impairments

CONSUMER CONT.

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12© 2020 Dynata. All Rights Reserved

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%24%28%24%13%7%3%

AGE

12% 9% 4% 7% 12% 15% 16% 24% 1%

38 62

GENDER

>500K300-500K

150-300K

100-150K

80-100K

60-80K

40-60K

20-40K

<20K(ARS)

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 14%27%29%13%13%3%

<1%

EDUCATION

Panel Demographics By Country AMER

ARGENTINA

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13 © 2020 Dynata. All Rights Reserved

Some Postgraduate Education

Graduate/Post Graduate Degree

Undergraduate, University Degree

Some College, University or further education

Secondary Education

Some Secondary Education 9%

21%

27%

25%

13%

5%

12% 9% 23% 17% 14% 13% 5% 2% 5%

>250K200-250K

150-200K

100-150K

75-100K

50-75K

25-50K

15-25K

<15K (CAD)

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%15%25%20%14%14%11%

AGE

40 60

GENDER

INCOME

EDUCATION

Canada 40% 60% 1% 15% 25% 20% 14% 14% 11%

Some Secondary Education 8.67%Secondary Education 21.23%Some College, University, or Further Education 27.27%Undergraduate, University Degree 25.46%Graduate/Post Graduate Degree 12.78%Some Postgraduate Education 4.59% Less than $15,000 11.79%$15,000 - $24,999 9.30%$25,000 - $49,999 23.50%$50,000 - $74,999 16.73%$75,000 - $99,999 13.71%$100,000 - $149,999 13.32%$150,000 - $199,999 5.24%$200,000 - $249,999 1.59%More than $250,000 4.82%

AGE INCOME

65+

55-64

45-54

35-44

25-34

18-24

13-17 2%34%30%18%9%5%2%

58% 17% 8% 6% 3% 3% 2% 1% 2%

45 55

GENDER

>1750K875-1750K

350-875K

250-350K

175-250K

130-175K

85-130K

45-85K

<45k(BRL)

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 5%19%35%

3%32%4%2%

EDUCATION

PANEL SIZE | 3,489,000

PANEL SIZE | 1,841,000

Internet Penetration 00%

Internet Penetration 00%

Smart Phone Penetration 00%

Smart Phone Penetration 00%

BRAZIL

CANADA

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14© 2020 Dynata. All Rights Reserved

Post Graduate Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 3%

25%

26%

37%

9%

7% 6% 10% 28% 24% 18% 7%

>60M28.6-60M

14.8-28.6M

6.3-14.8M

3.6-6.3M

1.7-3.6M

<1.7M (COP)

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%26%32%22%13%5%1%

AGE

46 54

GENDER

INCOME

EDUCATION

Colombia 46% 54% 1% 26% 32% 22% 13% 5% 1%

Some Secondary Education 2.93%Secondary Education 24.80%Some College, University, or Further Education 26.33%Vocational or Technical Degree 37.40%University Degree 0.00%Postgraduate Degree 8.55% Under $1,740,000 7.18%From $1,740,001 to $3,600,000 6.40%From $3,600,001 to $6,360,000 10.55%From $6,360,001 to $14,820,000 27.64%From $14,820,001 - to $28,620,000 24.00%From $28,620,001 to $60,000,000 17.60%Over $60,000,001 6.64%

Doctoral or Professional Degree

Post Graduate Degree

Vocational/University Degree

Some College, University or further education

Secondary Education

Some Secondary Education 2%

11%

6%

39%

39%

3%

2% 4% 6% 5% 4% 3% 16% 12% 24% 24%

>12M3-12M1.8-3M1.1-1.8M

900K-1.1M

700-900K

500-700K

300-500K

100-300K

<100K (CLP)

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%23%31%22%13%7%3%

AGE

42 58

GENDER

INCOME

Chile 42% 58% 1% 23% 31% 22% 13% 7% 3%

Some Secondary Education 1.93%Secondary Education 10.80%Some College, University, or Further Education 5.77%Vocational or Technical Degree 38.90%University Degree 0.00%Postgraduate Degree 39.57%Doctoral or Professional Degree 3.04% Less than 100,000 1.80%100,000 - 299,999 4.06%300,000 – 499,999 6.05%500,000 - 699,999 4.64%700,000 - 899,999 3.82%900,000 – 1,099,999 3.51%1,100,000 – 1,799,999 15.93%1,800,000-3,000,000 11.81%3,000,000-12,000,000 24.31%More than 12,000,000 24.07%

EDUCATION

PANEL SIZE | 194,000

PANEL SIZE | 284,000

Internet Penetration 00%

Internet Penetration 00%

Smart Phone Penetration 00%

Smart Phone Penetration 00%

CHILE

COLOMBIA

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15 © 2020 Dynata. All Rights Reserved

>250K200-250K

150-200K

100-150K

75-100K

50-75K

25-50K

15-25K

<15k (USD)

18% 10% 20% 17% 13% 12% 6% 2% 2%

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Associate's Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 8%19%24%

2%6%

25%12%4%

65+

55-64

45-54

35-44

25-34

18-24

13-17 3%16%24%19%15%13%10%

AGE

35 65

GENDER

INCOME

EDUCATION

United States 35% 65% 3% 16% 24% 19% 15% 13% 10%

Some Secondary Education 8.55%Secondary Education 19.37%Some College, University, or Further Education 24.13%Vocational or Technical Degree 2.11%Associate's Degree 5.57%University Degree 24.89%Postgraduate Degree 11.68%Doctoral or Professional Degree 3.69% Less than $15,000 17.65%$15,000 - $24,999 10.06%$25,000 - $49,999 19.92%$50,000 - $74,999 17.25%$75,000 - $99,999 12.71%$100,000 - $149,999 12.64%$150,000 - $199,999 5.86%$200,000 - $249,999 1.79%$250,000 or greater 2.09%

AGE INCOME

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%32%34%19%9%4%1%

14% 5% 15% 4% 11% 12% 14% 4% 21%

49 51

GENDER

>250K200-250K

150-200K

100-150K

75-100K

50-75K

25-50K

15-25K

<15k(MXN)

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 2%9%

21%22%37%7%2%

EDUCATION

PANEL SIZE | 988,000

PANEL SIZE | 28,240,000

Internet Penetration 00%

Internet Penetration 00%

Smart Phone Penetration 00%

Smart Phone Penetration 00%

MEXICO

UNITED STATES OF AMERICA

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16© 2020 Dynata. All Rights Reserved

65+

55-64

45-54

35-44

25-34

18-24

13-17 4%32%24%16%12%8%4%

AGE

34% 35% 16% 8% 3% 3% <1% <1%

45 55

GENDER

>300K150-300K

100-150K

80-100K

60-80K

40-60K

20-40K

<20K(EUR)

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 1%32%6%

46%5%9%

<1%

EDUCATION

PANEL SIZE | 96,000

Panel Demographics By Country EMEA

Internet Penetration 00%Smart Phone Penetration 00%

16

AUSTRIA

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17 © 2020 Dynata. All Rights Reserved

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%15%31%25%17%9%2%

AGE

37 63

GENDER

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Secondary Education 24%

41%

34%

2%

EDUCATION

16% 27% 26% 15% 8% 4% 2% 1% 1%

>48K42-48K

36-42K

30-36K

24-30K

18-24K

12-18K

6-12K

<6K(BGN)

INCOME

65+

55-64

45-54

35-44

25-34

18-24

13-17 4%25%19%16%15%13%8%

AGE

30% 40% 17% 7% 5% 2%

43 57

GENDER

>120K80-120K

60-80K

40-60K

20-40K

<20K(EUR)

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 8%52%21%2%

16%1%

<1%

EDUCATION

PANEL | 253,000

PANEL | 54,000

BELGIUM

BULGARIA

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18© 2020 Dynata. All Rights Reserved

65+

55-64

45-54

35-44

25-34

18-24

13-17 4%25%17%14%14%13%13%

AGE

48 52

GENDER

13% 17% 17% 14% 11% 13% 5% 4% 6%

>880K770-880K

660-770K

550-660K

440-550K

330-440K

220-330K

110-220K

<110K(DKK)

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 22%26%18%18%13%2%

<1%

EDUCATION

65+

55-64

45-54

35-44

25-34

18-24

13-17 2%22%27%20%14%10%5%

AGE

34 66

GENDER

14% 25% 23% 17% 10% 5% 4% 1% 1%

>960K840-960K

720-840K

600-720K

460-600K

360-480K

240-360K

120-240K

<120K(CZK)

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 12%67%

2%2%

13%3%1%

EDUCATION

PANEL | 56,000

PANEL | 127,000

CZECH REPUBLIC

DENMARK

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19 © 2020 Dynata. All Rights Reserved

65+

55-64

45-54

35-44

25-34

18-24

13-17 2%25%21%19%16%11%6%

AGE

42 58

GENDER

38% 34% 16% 5% 3% 2% 2%

>150K100-150K

80-100K

60-80K

40-60K

20-40K

<20K (EUR)

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 5%26%

2%39%

5%21%2%

EDUCATION

65+

55-64

45-54

35-44

25-34

18-24

13-17 3%21%19%17%16%14%10%

AGE

45 55

GENDER

32% 34% 17% 9% 6% 1% 1%

>160K120-160K

80-120K

60-80K

40-60K

20-40K

<20K(EUR)

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 15%46%

3%19%5%

12%<1%

EDUCATION

PANEL | 63,000

PANEL | 1,708,000

FINLAND

FRANCE

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Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 4%32%3%

27%28%4%2%

15% 19% 18% 13% 10% 11% 8% 4% 2%

>150K100-150K

70-100K

50-70K

40-50K

30-40K

20-30K

10-20K

<10K (GBP)

65+

55-64

45-54

35-44

25-34

18-24

13-17 3%20%23%18%15%12%9%

AGE

42 58

GENDER

INCOME

EDUCATION

UK 42% 58% 3% 20% 23% 18% 15% 12% 9%

Some Secondary Education 3.91%Secondary Education 32.15%Some College, University, or Further Education 3.56%Vocational or Technical Degree 26.68%University Degree 27.62%Postgraduate Degree 4.20%Doctoral or Professional Degree 1.88% Less than £10,000 15.09%£10,000 - £19,999 19.51%£20,000 - £29,999 18.01%£30,000 - £39,999 13.22%£40,000 - £49,999 9.73%£50,000 - £69,999 10.82%£70,000 - £99,999 7.98%£100,000 - £149,999 4.06%£150,000 - £199,999 0.64%£200,000 or more 0.93%

65+

55-64

45-54

35-44

25-34

18-24

13-17 4%26%24%17%14%10%5%

AGE

48 52

GENDER

30% 30% 18% 10% 7% 2% 2% 1%

>400K160-400K

120-160K

80-120K

60-80K

40-60K

20-40K

<20K (EUR)

INCOME

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 2%

37%

32%

14%

15%

EDUCATION

PANEL | 1,672,000

PANEL | 2,842,000

GERMANY

GREAT BRITAIN (UK)

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65+

55-64

45-54

35-44

25-34

18-24

13-17 2%20%26%20%14%12%6%

AGE

36 64

GENDER

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 10%45%

2%27%4%11%1%

EDUCATION

7% 6% 3% 14% 22% 3% 20% 11% 14%

>4.5M3.5-4.5M

2.5-3.5M

2-2.5M

1.5-2M

900K-1.5M

400-900K

200-400K

<200K (HUF)

INCOME

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%16%29%31%17%5%1%

AGE

37 63

GENDER

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 5%26%20%

8%29%11%1%

EDUCATION

42% 35% 19% 3% 1% <1%

>80K60-80K40-60K20-40K10-20K<10K (EUR)

INCOME

PANEL | 13,000

PANEL | 70,000

GREECE

HUNGARY

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65+

55-64

45-54

35-44

25-34

18-24

13-17 1%23%25%23%16%8%4%

AGE

43 57

GENDER

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 4%29%

3%34%19%8%3%

EDUCATION

37% 35% 14% 6% 3% 3% 2%

>150K100-150K80-100K60-80K40-60K20-40K<20K (EUR)

INCOME

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%29%25%21%13%7%4%

AGE

41 59

GENDER

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 9%26%

8%20%26%

7%4%

EDUCATION

27% 33% 19% 10% 5% 4% 2%

>150K100-150K80-100K60-80K40-60K20-40K<20K (EUR)

INCOME

PANEL | 107,000

PANEL | 683,000

IRELAND

ITALY

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65+

55-64

45-54

35-44

25-34

18-24

13-17 8%31%24%16%11%6%4%

AGE

43 57

GENDER

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 4%

53%

1%

1%

22%

19%

EDUCATION

11% 9% 11% 13% 12% 12% 7% 24% 1%

>1M700K-1M

600-700K

500-600K

400-500K

300-400K

200-300K

100-200K

<100K (NOK)

INCOME

65+

55-64

45-54

35-44

25-34

18-24

13-17 3%20%15%14%16%17%15%

AGE

47 53

GENDER

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 5%49%

3%30%

4%1%8%

EDUCATION

28% 37% 19% 9% 3% 3% 1%

>150K100-150K80-100K60-80K40-60K20-40K<20K (EUR)

INCOME

PANEL | 526,000

PANEL | 134,000

NETHERLANDS

NORWAY

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65+

55-64

45-54

35-44

25-34

18-24

13-17 1%22%28%26%14%7%2%

AGE

38 62

GENDER

6% 56% 18% 8% 6% 2% 1% 1% 2%

>90K70-90K60-70K50-60K40-50K30-40K20-30K10-20K<10K (EUR)

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 22%36%

2%1%

37%2%

<1%

EDUCATION

65+

55-64

45-54

35-44

25-34

18-24

13-17 2%28%30%17%11%8%4%

AGE

42 58

GENDER

3% 3% 5% 38% 5% 3% 6% 16% 21%

>100K80-100K

60-80K

50-60K

40-50K

30-40K

20-30K

10-20K

<10K (PLN)

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 10%46%

2%15%22%5%

<1%

EDUCATION

PANEL | 376,000

PANEL | 156,000

POLAND

PORTUGAL

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65+

55-64

45-54

35-44

25-34

18-24

13-17 2%25%25%23%15%7%3%

AGE

47 53

GENDER

42% 35% 12% 5% 3% 2% 1%

>150K100-150k80-100k60-80k40-60k20-40k<20K (EUR)

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 5%19%17%17%15%23%4%

EDUCATION

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 1%11%

23%12%28%22%3%

17% 10% 13% 9% 5% 4% 5% 18% 19%

>250K100-250K

80-100K

60-80K40-60K20-40K10-20K5-10K<5K (ZAR)

65+

55-64

45-54

35-44

25-34

18-24 29%

36%

20%

9%

4%

2%

AGE

41 59

GENDER

INCOME

EDUCATION

PANEL | 1,080,000

PANEL | 104,000

SPAIN

SOUTH AFRICA

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26© 2020 Dynata. All Rights Reserved

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 13%30%

5%41%3%7%1%

19% 13% 15% 16% 17% 7% 4% 5% 4%

>180K140-180K

120-140K

100-120K

80-100K

60-80K

40-60K

20-40K

<20K (CHF)

65+

55-64

45-54

35-44

25-34

18-24

13-17 4%24%21%18%15%10%8%

AGE

45 55

GENDER

INCOME

EDUCATION

Switzerland 45% 55% 4% 24% 21% 18% 15% 10% 8%

Some Secondary Education 12.62%Secondary Education 30.47%Some College, University, or Further Education 5.55%Vocational or Technical Degree 41.11%University Degree 2.90%Postgraduate Degree 6.67%Doctoral or Professional Degree 0.67% Less than CHF 20 000 19.42%CHF 20,000 - CHF 39,999 13.12%CHF 40,000 - CHF 59,999 15.36%CHF 60,000 - CHF 79,999 15.43%CHF 80,000 - CHF 99,999 16.68%CHF 100,000 - CHF 119,999 6.97%CHF 120,000 - CHF 139,999 4.24%CHF 140,000 - CHF 179,999 5.32%CHF 180 000 - CHF 200,000 0.97%More than CHF 200,000 2.49%

11% 14% 16% 17% 12% 9% 7% 5% 9%

>800K700-800K

600-700K

500-600K

400-500K

300-400K

200-300K

100-200K

<100K (SEK)

65+

55-64

45-54

35-44

25-34

18-24

13-17 6%25%22%14%13%10%10%

AGE

44 56

GENDER

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Secondary Education 53%

8%

18%

20%

1%

EDUCATION

Sweden 44% 56% 6% 25% 22% 14% 13% 10% 10%

Some Secondary Education 0.00%Secondary Education 53.01%Some College, University, or Further Education 0.00%Vocational or Technical Degree 8.43%University Degree 18.34%Postgraduate Degree 19.64%Doctoral or Professional Degree 0.57% Less than 100,000 kr 11%100,000 kr - 199,999 kr 14%200,000 kr - 299,999 kr 16%300,000 kr - 399,999 kr 17%400,000 kr - 499,999 kr 12%500,000 kr - 599,999 kr 9%600,000 kr - 699,999 kr 7%700,000 kr - 799,999 kr 5%> 800,000 kr 9%

PANEL | 87,000

PANEL | 189,000

SWITZERLAND

SWEDEN

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Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 1%3%9%8%

36%40%

3%

14% 19% 13% 13% 9% 6% 8% 7% 11%

>540K420-540K

360-420K

300-360K

240-300K

180-240K

120-180K

60-120K

<60K (AED)

65+

55-64

45-54

35-44

25-34

18-24 5%

30%

37%

19%

8%

1%

AGE

68 32

GENDER

INCOME

EDUCATION

United Arab Emirates 68% 32% 0% 5% 30% 37% 19% 8% 1%

Some Secondary Education 0.41%Secondary Education 3.45%Some College, University, or Further Education 8.46%Vocational or Technical Degree 8.38%University Degree 35.83%Postgraduate Degree 40.10%Doctoral or Professional Degree 3.37% less than AED 60,000 14.50%AED 60,001 – 120,000 18.80%AED 120,001 – 180,000 13.14%AED 180,001 – 240,000 12.91%AED 240,001 – 300,000 8.95%AED 300,001 – 360,000 5.78%AED 360,001 – 420,000 8.15%AED 420,001 – 540,000 6.80%AED more than 540,001 10.99%

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 5%14%

1%16%53%

1%10%

14% 10% 23% 11% 12% 9% 8% 6% 7%

>150K100-150K

75-100K

50-75K

40-50K

30-40K

20-30K

10-20K

<10K (TRY)

65+

55-64

45-54

35-44

25-34

18-24

13-17 <1%40%32%19%6%2%1%

AGE

56 44

GENDER

INCOME

EDUCATION

Turkey 56% 44% 0% 40% 32% 19% 6% 2% 1%

Some Secondary Education 4.66%Secondary Education 13.59%Some College, University, or Further Education 1.48%Vocational or Technical Degree 15.79%University Degree 53.37%Postgraduate Degree 1.39%Doctoral or Professional Degree 9.72% Less than 10,000 TRY 14.33%10,000 TRY - 19,999 TRY 10.25%20,000 TRY - 29,999 TRY 22.59%30,000 TRY - 39,999 TRY 11.25%40,000 TRY - 49,999 TRY 11.82%50,000 TRY - 74,999 TRY 9.04%75,000 TRY - 99,999 TRY 8.50%100,000 TRY - 149,999 TRY 5.98%150,000 TRY - 200,000 TRY 5.91%More than 200,000 TRY 0.32%

PANEL | 3,000

PANEL | 411,000

UNITED ARAB EMIRATES

TURKEY

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65+

55-64

45-54

35-44

25-34

18-24

13-17 2%

22%

25%

18%

13%

11%

9%

AGE

16% 11% 10% 14% 7% 16% 14% 8% 4%

45% 55%

GENDER

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University/further education

Secondary Education

Some Secondary Education 8%

34%

6%

23%

18%

9%

2%

EDUCATION

>200K150-200K

100-150K

75-100K

60-75K

45-60K

30-45K

15-30K

<15k(AUD)

INCOME

LOCATION

1% 30% 25% 23% 30% 1% 1% 10%

Australia 45% 55% 2% 22% 25% 18% 13% 11% 9%

Some Secondary Education 7.53%Secondary Education 33.61%Some College, University, or Further Education 6.03%Vocational or Technical Degree 23.49%University Degree 18.13%Postgraduate Degree 8.95%Doctoral or Professional Degree 2.26% Less than $15,000 16.27%$15,000 - $29,999 11.06%$30,000 - $44,999 9.53%$45,000 - $59,999 14.05%$60,000 - $74,999 7.39%$75,000 - $99,999 15.71%$100,000 - $149,999 13.55%$150,000 - $199,999 8.06%$200,000 - $499,999 2.27%More than $500,000 2.12%

Australian Capital Territory 7,679 1%New South Wales 178,788 30%Northern Territory 5,275 1%Queensland 136,761 23%South Australia 43,609 7%Tasmania 12,537 2%Victoria 146,374 25%Western Australia 61,450 10%

WAVICTASSAQLDNTNSWACT

65+

55-64

45-54

35-44

25-34

18-24

13-17 2%

22%

25%

18%

13%

11%

9%

AGE

16% 11% 10% 14% 7% 16% 14% 8% 4%

45% 55%

GENDER

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University/further education

Secondary Education

Some Secondary Education 8%

34%

6%

23%

18%

9%

2%

EDUCATION

>200K150-200K

100-150K

75-100K

60-75K

45-60K

30-45K

15-30K

<15k(AUD)

INCOME

Australia 45% 55% 2% 22% 25% 18% 13% 11% 9%

Some Secondary Education 7.53%Secondary Education 33.61%Some College, University, or Further Education 6.03%Vocational or Technical Degree 23.49%University Degree 18.13%Postgraduate Degree 8.95%Doctoral or Professional Degree 2.26% Less than $15,000 16.27%$15,000 - $29,999 11.06%$30,000 - $44,999 9.53%$45,000 - $59,999 14.05%$60,000 - $74,999 7.39%$75,000 - $99,999 15.71%$100,000 - $149,999 13.55%$150,000 - $199,999 8.06%$200,000 - $499,999 2.27%More than $500,000 2.12%

PANEL SIZE | 1,183,000Internet Penetration 00%Smart Phone Penetration 00%

28

Panel Demographics By Country APAC

AUSTRALIA

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29 © 2020 Dynata. All Rights Reserved

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 3%42%

2%2%

40%7%2%

>1M800K-1M

700-800K

600-700K

500-600K

400-500K

300-400K

200-300K

100-200K

<100k (HKD)

34% 12% 12% 9% 8% 7% 8% 3% 3% 4%

65+

55-64

45-54

35-44

25-34

18-24

13-17 3%29%33%21%9%4%1%

AGE

39 61

GENDER

INCOME

EDUCATION

Hong Kong 39% 61% 3% 29% 33% 21% 9% 4% 1%

Some Secondary Education 3.40%Secondary Education 44.02%Some College, University, or Further Education 1.72%Vocational or Technical Degree 2.19%University Degree 39.42%Postgraduate Degree 7.19%Doctoral or Professional Degree 2.05% Less than HK$100,000 34.33%HK$100,000 - HK$199,999 12.16%HK$200,000 - HK$299,999 12.47%HK$300,000 - HK$399,999 9.42%HK$400,000 - HK$499,999 8.61%HK$500,000 - HK$599,999 7.07%HK$600,000 - HK$699,999 7.65%HK$700,000 - HK$799,999 3.47%HK$800,000 - HK$999,999 3.61%More than HK$1,000,000 4.36%

PANEL SIZE | 5,203,000

PANEL SIZE | 87,000

Internet Penetration 00%

Internet Penetration 00%

Smart Phone Penetration 00%

Smart Phone Penetration 00%

CHINA

HONG KONG

65+

55-64

45-54

35-44

25-34

18-24 29%

32%

21%

11%

5%

2%

AGE

14% 6% 9% 7% 11% 8% 16% 8% 22%

52 48

GENDER

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Secondary Education 14%

76%

8%

2%

EDUCATION

>200K150-200K

100-150K

85-100K

65-85K

45-65K

25-45K

15-25K

<15K(CNY)

INCOME

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30© 2020 Dynata. All Rights Reserved

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 3%11%1%

49%33%

2%1%

>200M150-200M

100-150M

90-100M

80-90M

70-80M

60-70M

50-60M

40-50M

30-40M

<30M (IDR)

49% 12% 5% 5% 4% 3% 2% 3% 5% 5% 7%

55-64

45-54

35-44

25-34

18-24 34%

40%

19%

6%

1%

AGE

66 34

GENDER

INCOME

EDUCATION

PANEL SIZE | 1,797,000

PANEL SIZE | 1,140,000

Internet Penetration 00%

Internet Penetration 00%

Smart Phone Penetration 00%

Smart Phone Penetration 00%

INDIA

INDONESIA

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%

47%

33%

12%

4%

2%

1%

AGE

25% 32% 17% 7% 4% 4% 3% 3% 4%

73 27

GENDER

>5M4-5M3-4M2-3M1.5-2M1-1.5M500K-1M

100-500K

<100K (INR)

INCOME

4%

14%

15%

1%

15%

33%

18%

EDUCATION

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University/further education

Secondary Education

Some Secondary Education

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31 © 2020 Dynata. All Rights Reserved

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%33%40%18%5%2%1%

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 5%20%19%16%33%6%1%

>150K100-150K

80-100K

60-80K

50-60K

40-50K

30-40K

20-30K

<20K (MYR)

45% 12% 8% 7% 7% 9% 4% 2% 6%

AGE

48 52

GENDER

INCOME

EDUCATION

Malaysia 48% 52% 1% 33% 40% 18% 5% 2% 1%

Some Secondary Education 5.60%Secondary Education 1 20.04%Some College, University, or Further Education 19.61%Vocational or Technical Degree 15.62%University Degree 33.15%Postgraduate Degree 5.71%Doctoral or Professional Degree 0.27% Less than MYR 20,000 10948 45.04%MYR 20,000 to MYR 29,999 11.71%MYR 30,000 to MYR 39,999 7.75%MYR 40,000 to MYR 49,999 7.65%MYR 50,000 to MYR 59,999 6.73%MYR 60,000 to MYR 79,999 9.17%MYR 80,000 - MYR 99,999 4.63%MYR 100,000 - MYR 149,999 1.66%More than MYR 150,000 5.68%

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%12%

20%22%22%15%8%

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 1%34%

2%21%41%

1%<1%

>13M11-12M9-10M7-8M5-6M3-4M<3M (JPY)

27% 24% 21% 16% 6% 3% 3%

AGE

51 49

GENDER

INCOME

EDUCATION

Japan 51% 49% 1% 12% 20% 22% 22% 15% 8%

Some Secondary Education 0.45%Secondary Education 34.35%Some College, University, or Further Education 1.91%Vocational or Technical Degree 21.43%University Degree 41.09%Postgraduate Degree 0.57%Doctoral or Professional Degree 0.19% Less than JPY 2,990,000 27%JPY 3.000.000,00 - 4 24%JPY 5.000.000,00 - 6 21%JPY 7.000.000,00 - 8 16%JPY 9.000.000,00 - 10 6%JPY 11.000.000,00 - 12 3%More than JPY 3%

PANEL SIZE | 2,192,000

PANEL SIZE | 297,000

Internet Penetration 00%

Internet Penetration 00%

Smart Phone Penetration 00%

Smart Phone Penetration 00%

JAPAN

MALAYSIA

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65+

55-64

45-54

35-44

25-34

18-24

13-17 4%

25%

24%

16%

13%

9%

9%

17%

31%

9%

11%

19%

5%

8%

>100K81-100K61-80K41-60K21-40K<21K (NZD)

19% 22% 19% 13% 11% 16%

AGE

40 60

GENDER

INCOME

EDUCATION

New Zealand 40% 60% 4% 25% 24% 16% 13% 9% 9%

Some Secondary Education 16.79%Secondary Education 30.71%Some College, University, or Further Education 8.98%Vocational or Technical Degree 10.83%University Degree 19.53%Postgraduate Degree 5.16%Doctoral or Professional Degree 7.99% Less than $21,000 18.55%$21,000 to $40,000 21.60%$41,000 to $60,000 19.21%$61,000 to $80,000 13.40%$81,000 to $100,000 10.97%More than $100,000 16.27%

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University/further education

Secondary Education

Some Secondary Education

Auckland 76,549 35% Canterbury 24,745 11% Wellington 22,090 10% Rest Of South Island Total 19299 8.94%Rest Of North Island Total 73253 33.92%

PANEL SIZE | 190,000

PANEL SIZE | 165,000

Internet Penetration 00%

Internet Penetration 00%

Smart Phone Penetration 00%

Smart Phone Penetration 00%

NEW ZEALAND

PHILIPPINES

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 27%

5%

25%

7%

33%

2%

1%

>1M600K-1M250-600K150-250K<150K (PHP)

61% 17% 13% 5% 4%

65+

55-64

45-54

35-44

25-34

18-24

13-17 3%

48%

32%

12%

3%

1%

1%

55 45

GENDER

INCOME

EDUCATION

AGE

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33 © 2020 Dynata. All Rights Reserved

65+

55-64

45-54

35-44

25-34

18-24

13-17 1%23%28%26%15%6%1%

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 5%28%

1%13%

44%8%1%

>90M80-90M

70-80M

60-70M

50-60M

40-50M

30-40M

20-30M

<20M (KRW)

33% 14% 14% 7% 10% 7% 6% 3% 6%

AGE

49 51

GENDER

INCOME

EDUCATION

Korea (South) 49% 51% 1% 23% 28% 26% 15% 6% 1%

Some Secondary Education 4.87%Secondary Education 28.22%Some College, University, or Further Education 1.28%Vocational or Technical Degree 12.90%University Degree 44.33%Postgraduate Degree 8.14%Doctoral or Professional Degree 0.27% Less than 20,000,000 KRW 32.96%20,000,000 KRW - 29,999,999 KRW 13.65%30,000,000 KRW - 39,999,999 KRW 14.19%40,000,000 KRW - 49,999,999 KRW 7.48%50,000,000 KRW - 59,999,999 KRW 10.20%60,000,000 KRW - 69,999,999 KRW 7.25%70,000,000 KRW - 79,999,999 KRW 6.09%80,000,000 KRW - 89,999,999 KRW 2.58%More than 90,000,000 KRW 5.61%

65+

55-64

45-54

35-44

25-34

18-24

13-17 2%28%30%20%12%6%2% >200K100-

200K85-99K

75-85K

65-75K

45-65K

35-45K

25-35K

<25K (SGD)

28% 14% 10% 15% 5% 5% 5% 15% 3%

AGE

46 54

GENDER

INCOME

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 5%24%

3%31%29%6%2%

EDUCATION

PANEL SIZE | 518,000

PANEL SIZE | 486,000

Internet Penetration 00%

Internet Penetration 00%

Smart Phone Penetration 00%

Smart Phone Penetration 00%

SINGAPORE

SOUTH KOREA

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65+

55-64

45-54

35-44

25-34

18-24 40%

36%

17%

5%

1%

1% >1M800K-1M

600-700K

500-600K

400-500K

300-400K

200-300K

<200K (THB)

51% 17% 5% 7% 5% 6% 4% 5%

AGE

48 52

GENDER

INCOME

Thailand 48% 52% 0% 40% 36% 17% 5% 1% 1%

Some Secondary Education 3.13%Secondary Education 64.12%Some College, University, or Further Education 0.58%Vocational or Technical Degree 16.43%University Degree 5.10%Postgraduate Degree 9.24%Doctoral or Professional Degree 1.41% Less than 200,000 THB 50.86%200,000 THB - 299,999 THB 17.48%300,000 THB - 399,999 THB 5.02%400,000 THB - 499,999 THB 6.59%500,000 THB - 599,999 THB 5.35%600,000 THB - 799,999 THB 6.20%800,000 THB - 999,999 THB 3.63%More than 1,000,000 THB 4.87%

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 3%64%

1%17%5%9%1%

EDUCATION

65+

55-64

45-54

35-44

25-34

18-24

13-17 3%30%32%23%9%2%1% >2M1.3-2M1-1.3M800K-

1M600-800K

500-600K

400-500K

300-400K

<300K (TWD)

23% 1% 20% 6% 13% 9% 11% 12% 5%

AGE

45 55

GENDER

INCOME

Taiwan 45% 55% 3% 30% 32% 23% 9% 2% 1%

Some Secondary Education 3.60%Secondary Education 23.71%Some College, University, or Further Education 4.06%Vocational or Technical Degree 30.27%University Degree 30.25%Postgraduate Degree 6.38%Doctoral or Professional Degree 1.74% Less than NT$300,000 22.92%NT$300,000 - NT$399,999 1.25%NT$400,000 - NT$499,999 19.82%NT$500,000 - NT$599,999 6.52%NT$600,000 - NT$799,999 12.54%NT$800,000 - NT$999,999 8.98%NT$1,000,000 - NT$1,299,999 11.09%NT$1,300,000 - NT$1,999,999 11.79%More than NT$2,000,000 5.10%

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Some College, University or further education

Secondary Education

Some Secondary Education 4%24%4%

30%30%

6%2%

EDUCATION

PANEL SIZE | 606,000

PANEL SIZE | 408,000

Internet Penetration 00%Smart Phone Penetration 00%TAIWAN

Internet Penetration 00%Smart Phone Penetration 00%THAILAND

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55+

45-54

35-44

25-34

18-24 45%

40%

11%

3%

1%

Doctoral or Professional Degree

Postgraduate Degree

University Degree

Vocational or Technical Degree

Secondary Education 23%

3%

70%

3%

1%

>180M156-180M

120-156M

84-120M

48-84M

24-48M

<24M (VND)

19% 16% 10% 11% 10% 10% 24%

AGE

61 39

GENDER

INCOME

EDUCATION

Vietnam 61% 39% 0% 45% 40% 11% 3% 1% 0%

Some Secondary Education 0.00%Secondary Education 22.84%Some College, University, or Further Education 0.00%Vocational or Technical Degree 3.36%University Degree 69.81%Postgraduate Degree 3.16%Doctoral or Professional Degree 0.83% Less than 24,000,000 VND 19.61%24,000,000-48,000,000 VND 15.70%48,000,001-84,000,000 VND 10.11%84,000,001-120,000,000 VND 10.84%120,000,001-156,000,000 VND 9.81%156,000,001-180,000,000 VND 10.10%180,000,000+ VND 23.84%

PANEL SIZE | 606,000

PANEL SIZE | 408,000

Internet Penetration 00%Smart Phone Penetration 00%VIETNAM