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Borderless Access - Global Panel Book 2022

Borderless Access is a digital MR solutions company, providing access to engaged consumers from hard-to-reach audiences in the emerging and developed markets, driven by Technology & Community Analytics.<br>Access our latest panel book to know the consumer demographics, cultural diversities, and market size.

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Borderless Access - Global Panel Book 2022

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  1. Global Panel Book 1

  2. Awards and Associations Awards and Certifications Professional Memberships and Affiliations 2 © 2022 Borderless Access

  3. Genuine Respondents = Quality Responses Reliable and authentic responses are key to any research studies. Which is why we rigorously authenticate our panelists at many levels to ensure unique and genuine responses leading to quality data. Recruitment by invitation only Double opt-in Mobile verification (Triple opt-In) Social media verification Ongoing response monitoring Mobile authentication using a one-time password at registration. Additionally redemption of points as coupon are sent only to the verified mobile number. Invite only candidates that we are looking for. Following a strict double opt-in process as per the ESOMAR guidelines. A must for all B2B panel recruits. B2C panelists are encouraged to engage with us on social media platforms. Use of advanced tools and predictive algorithms to track and remove panellists who do not conform to our quality standards. 3 © 2022 Borderless Access

  4. Hyper-Niche Audience Access hyper-niche B2C audiences through our meticulously profiled panellists and alternate methodologies. Online Shoppers Travel & Hospitality Smartphone Users Financial Product Holders IT Auto Healthcare Online shopping behavior, channel preferences, affinity, product set preferences, purchase frequency and purchase size. Based on the company they work in, employee size, number of PCs, designation, primary IT functions/ responsibility, occupation, industry, and company annual revenue. Type Type of air travel – business or leisure, travel frequency, class of air travel, casual travellers, business travellers, professional travellers, hospitality professionals including staff and support teams. Mobile phone ownership and usage, attributes include mobile brands, smart phone ownership, usage, and more. Physicians, care givers, key opinion leaders (KOL), pharmacists, hospital administrators. Patients profiled on ailment type, lifestyle parameters and healthcare access. Target based decision making criteria, online banking usage, financial products owned. of vehicle owned – Two or Four- wheelers, vehicle brand, segmented by – small, mid-sized, luxury, and SUVs, old/new purchases, insurances, etc. 4 © 2022 Borderless Access

  5. Hyper-Niche Audience Access hyper-niche B2C audiences through our meticulously profiled panellists and alternate methodologies. Cannabis Industry Mothers Gamers LGBTQ HNIs Pet Owners Smokers Working mothers or stay-at-home moms, first-time mothers, mothers with twins; single mothers, mothers from all walks of lives, age group, region, religion, culture, income group and more. Gamers of all age- groups and types, from casual smartphone players to e-sport professionals and everyone else in between. Lesbian, gay, bisexual, transgender, and queer community members who are single, married, parents, students, working professionals and from other areas of society. High-net-worth Individuals based on income, investible income, real-estate owned, cars owned, financial products owned, profession, designation, entrepreneurship, demographics, etc. Pet owners based on age, preferences, type of pets owned, the intent of pet ownership, pet food purchase behaviour, brand preferences for their pets, satisfaction levels, etc. Profiled based on cigarette brand preference, number of cigarettes consumed, purchase power, family members, insurance covered, etc. Legal recreational cannabis users, medical cannabis users, cannabis business owners and staff, cannabis farmers and other individuals. 5 © 2022 Borderless Access

  6. Hyper-Niche Audience Access hyper-niche B2B audiences through our meticulously profiled panellists and alternate methodologies. Small Business Owners ITDMs MDMs FDMs HRDMs BDMs Almost all ITDM titles including CIO/CTO, VP- Technology, Director, (MIS, IS, IT) Manager (telecom, data communication, network security) and network administrator. All MDM titles including CMO, CSO, SVP/VP/Director/ General Manager/ Senior Manager/ Manager, and brand, digital, and product marketing managers, B2B- B2C marketers. FDM titles such as CFO, Finance controller, VP of finance/treasurer, Finance director, FP&A manager. HRDM titles like CHRO/CPO, VP (HR, talent acquisition, talent management), Director (HR, training, payroll), Manager (HR, training, payroll) and others. BDM titles including Owners, Chairman, Managing Director, CEO, CFO, CMO, CHRO, COO, President, Director, VP, SVP, EVP, General Manager, and other senior management and department heads. SBOs profiled for almost every industry vertical including retail, food and hospitality, manufacturing, professional services, real estate etc. 6 © 2022 Borderless Access

  7. Panel Attributes List Basic Demographics Interests / Hobbies Expanded Business Variables by Industry ➢ Title ➢ Occupation ➢ Functional role ➢ Purchase decision makers ➢ Primary role ➢ Human Resources Role ➢ General ➢ Health / fitness / wellness ➢ Hobbies / leisure ➢ Sports activities ➢ Frequency of travel ➢ Frequency of travel by air ➢ Air travel intenders ➢ Domestic travelers for business / leisure purpose ➢ Overseas travelers for business / leisure purpose ➢ Travel decision makers ➢ Destination travelled in the past 12 months (continents) Electronics / Gadgets Mobile Phone Entertainment Automotive ➢ Mobile phone use ➢ Type of mobile phone ➢ Operating systems ➢ Network providers (India) ➢ Average monthly billing ➢ Contract type ➢ Phone brands ➢ Television ➢ Books ➢ Movies ➢ Music ➢ Types of car ➢ Car brands ➢ Purchase intent ➢ Role in decision ➢ Electronic devices owned ➢ Online activities ➢ Video game system 7 © 2022 Borderless Access

  8. 6.2 Million+ Respondents | 37 Markets | 8.1 Million Surveys Annually AMERICAS EUROPE MIDDLE-EAST AFRICA APAC TURKEY TAIWAN BRAZIL KSA SOUTH AFRICA INDIA 1500,000 450,000+ 225,000+ 300,000+ 75,000+ 275,000+ SINGAPORE NIGERIA RUSSIA 180,000+ CHINA MEXICO UAE 375,000+ 200,000+ 250,000+ 150,000+ 55,000+ KUWAIT USA EGYPT POLAND INDONESIA VIETNAM 125,000+ 320,000+ 20,000+ 65,000+ 80,000+ 100,000+ ARGENTINA PHILIPPINES QATAR 20,000+ KENYA NEW ZEALAND UK 250,000+ 60,000+ 60,000+ 220,000+ 55,000+ COLOMBIA GERMANY THAILAND GHANA KOREA 60,000+ 25,000+ 150,000+ 55,000+ 200,000+ ITALY 25,000+ MALAYSIA AUSTRALIA CHILE 120,000+ 100,000+ 60,000+ FRANCE HONG KONG ECUADOR 10,000+ 25,000+ 25,000+ PERU 10,000+ B2B, B2C Panel | 6.2M+ 8 © 2022 Borderless Access

  9. North America and LATAM 9 © 2022 Borderless Access

  10. Argentina Panel Size 250,000+ EMPLOYMENT STATUS CITIES GENDER 48% 52% 30% Mendoza 5% Male Female 17% 15% 13% 12% Corrientes 3% 9% 4% MARITAL STATUS Santa Fe 5% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 33% 42% 25% employed Córdoba 10% Married Others Single Buenos Aires 40% AGE Rosario 6% 33% 24% 24% EDUCATION 36% La Plata 3% 64% 11% Avellaneda 5% 8% Graduates/ Post Graduates Less than Graduate Others 23% 15-24 25-34 35-44 45-54 55+ 10 © 2022 Borderless Access

  11. Brazil Panel Size 450,000+ EMPLOYMENT STATUS CITIES GENDER 48% 31% 52% Male Female 14% 14% 12% 11% 9% 9% Fortaleza 4% MARITAL STATUS Salvador 3% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 39% 48% 13% employed Belo Horizonte 6% Married Others Single Rio de Janeiro 14% AGE Brasília 4% São Paulo 33% 30% 26% 23% EDUCATION 46% Curitiba 5% 14% 54% Porto Alegre 5% 7% Graduates/ Post Graduates Less than Graduate Others 26% 15-24 25-34 35-44 45-54 55+ 11 © 2022 Borderless Access

  12. Chile Panel Size 120,000+ EMPLOYMENT STATUS CITIES GENDER 42% 41% 58% Male Female 19% Antofagasta 7% 13% 9% 8% 8% MARITAL STATUS 2% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 48% 33% 19% Viña del Mar 11% employed Gran Valparaíso 6% Santiago Metropolis 44% Married Others Single AGE Gran Concepción 6% 34% Others 26% 24% EDUCATION 36% 22% 14% 64% 6% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 12 © 2022 Borderless Access

  13. Colombia Panel Size 150,000+ EMPLOYMENT STATUS CITIES GENDER 44% 41% 56% Male Female 19% Barranquilla 6% 13% 9% 8% 8% MARITAL STATUS 2% Bucaramanga 3% Medellín 14% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 41% 43% 16% employed Bogotá 38% Pereira 3% Married Others Single AGE Cali 11% 34% Ibagué 3% 24% EDUCATION 52% 22% Others 22% 14% 48% 6% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 13 © 2022 Borderless Access

  14. Ecuador Panel Size 10,000+ EMPLOYMENT STATUS CITIES GENDER 46% 31% 54% Quito 32% 20% 19% Male Female 15% Duran 3% 7% 5% 3% MARITAL STATUS Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 38% 41% 21% employed Married Others Single AGE Machala6% 36% 32% Santo Domingo 8% EDUCATION 38% 18% Guayaquil 29% 62% 12% Cuenca 14% 2% Graduates/ Post Graduates Less than Graduate Others 8% 15-24 25-34 35-44 45-54 55+ 14 © 2022 Borderless Access

  15. Mexico Panel Size 375,000+ EMPLOYMENT STATUS CITIES GENDER 51% 41% 49% Male Female 21% Monterrey 12% 11% 8% 8% Aguascalientes 3% 6% 5% MARITAL STATUS Minatitlán 3% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 39% 45% 16% employed Cancún 3% Married Others Single AGE El Salto 7% 32% 29% Guadalajara 13% EDUCATION 52% 22% Others 27% 48% 12% Acapulco 11% Mexico City 21% 5% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 15 © 2022 Borderless Access

  16. Peru Panel Size 10,000+ EMPLOYMENT STATUS CITIES GENDER 42% 39% 58% Male Female 17% 16% 11% 9% 6% MARITAL STATUS 2% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 42% 47% 11% Piura 4% employed Chiclayo 9% Married Others Single Trujillo 12% AGE 32% Lima 44% 30% EDUCATION 49% 19% Cusco 4% 14% 51% 5% Arequipa 22% Graduates/ Post Graduates Less than Graduate Others 5% 15-24 25-34 35-44 45-54 55+ 16 © 2022 Borderless Access

  17. USA Panel Size 125,000+ EMPLOYMENT STATUS CITIES GENDER 36% 31% 64% 23% Male Female 16% 9% 9% 8% Seattle 5% 4% MARITAL STATUS Chicago 11% New York 17% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 47% 34% 19% employed Los Angeles 13% Married Others Single AGE Philadelphia 6% 31% San Diego 4% 23% EDUCATION 72% 22% Phoenix 6% Dallas 5% 15% 28% Houston 8% 9% Others 25% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 17 © 2022 Borderless Access

  18. Europe 18 © 2022 Borderless Access

  19. France Panel Size 25,000+ EMPLOYMENT STATUS CITIES GENDER 41% 42% 59% Paris 23% Lille 9% Male Female 14% 13% 11% 9% 8% MARITAL STATUS 3% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 41% 46% 13% employed Married Others Single Lyon 16% AGE Nantes 6% 32% 30% Marseille 12% EDUCATION 83% Nice 6% 16% 14% 17% Bordeaux 8% 8% Toulouse 11% Graduates/ Post Graduates Less than Graduate Others 9% 15-24 25-34 35-44 45-54 55+ 19 © 2022 Borderless Access

  20. Germany Panel Size 60,000+ EMPLOYMENT STATUS CITIES GENDER 49% 36% 51% 19% Male Female 17% 14% 7% 4% 3% MARITAL STATUS Hamburg 14% Berlin 17% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 53% 33% 14% Dortmund 10% employed Düsseldorf 5% Cologne 6% Married Others Single Frankfurt 11% AGE 31% Stuttgart 7% 24% EDUCATION 59% Munich 14% 21% 17% 41% Others 16% 7% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 20 © 2022 Borderless Access

  21. Italy Panel Size 25,000+ EMPLOYMENT STATUS CITIES GENDER 42% 38% 58% Genoa 6% Turin 11% 18% Male Female 17% 14% Milan 18% 11% MARITAL STATUS 1% 1% Bologna 6% Florence 5% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 32% 52% 16% employed Rome 21% Naples 12% Married Others Single AGE 33% 29% EDUCATION 60% 17% Palermo 8% 40% 13% 8% Others 13% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 21 © 2022 Borderless Access

  22. Poland Panel Size 80,000+ EMPLOYMENT STATUS CITIES GENDER 40% 46% 60% Male Female 13% Pomeranian 9% 12% 9% 9% 8% Greater Poland 11% MARITAL STATUS 3% Masovian 21% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 38% 46% 16% employed Łódzkie 8% Married Others Single Silesian 18% AGE 37% Lesser Poland 13% 24% EDUCATION 43% 21% 57% 11% Others 11% Lower Silesian 9% 7% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 22 © 2022 Borderless Access

  23. Russia Panel Size 180,000+ EMPLOYMENT STATUS CITIES GENDER 47% 42% 53% Male Female 16% Saint Petersburg 14% Others 15% 11% 10% 8% 7% 6% Nizhny Novgorod 6% MARITAL STATUS Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 38% 48% 14% employed Married Others Single AGE Novosibirsk 8% 36% Moscow 24% Krasnodar 7% 25% Chelyabinsk 8% 23% EDUCATION 64% Rostov-on-Don 7% 36% Yekaterinburg 11% 11% 5% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 23 © 2022 Borderless Access

  24. Turkey Panel Size 275,000+ EMPLOYMENT STATUS CITIES GENDER 63% 40% 37% 27% Male Female 9% 7% 6% 6% Istanbul 35% 5% MARITAL STATUS Adapazari 3% Bursa 8% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 44% 49% 7% employed Married Others Single Balikesir 3% AGE Izmir 11% 36% 32% Adana 6% Antalya 5% EDUCATION 58% Ankara 14% 18% Others 15% 42% 10% 4% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 24 © 2022 Borderless Access

  25. UK Panel Size 60,000+ EMPLOYMENT STATUS CITIES GENDER 39% 36% 61% Male Female 17% 16% 15% 8% 6% MARITAL STATUS 2% Newcastle 4% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 41% 45% 14% employed Bradford 9% Married Others Single Liverpool 8% AGE Sheffield 6% Manchester 14% 32% Birmingham 16% 23% EDUCATION 52% 21% 17% London 26% 48% 7% Graduates/ Post Graduates Less than Graduate Others 17% 15-24 25-34 35-44 45-54 55+ 25 © 2022 Borderless Access

  26. Middle East and Africa 26 © 2022 Borderless Access

  27. Egypt Panel Size 100,000+ EMPLOYMENT STATUS CITIES GENDER 66% 38% 34% Male Female 21% 16% Gharbeia 11% 11% Alexandria 19% MARITAL STATUS 7% 6% Kaluobiya 14% 1% 48% 50% 2% Business owners Employed – Full Time Employed – Part Time Self- Student Others Cairo 28% Currently un- employed employed Married Others Single AGE Giza 19% 39% Sohag 4% EDUCATION 67% 24% 24% 33% Others 5% 11% 2% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 27 © 2022 Borderless Access

  28. Ghana Panel Size 25,000+ EMPLOYMENT STATUS CITIES GENDER 71% 46% 29% Upper East 4% Male Female Upper West 3% 14% 14% 11% MARITAL STATUS 8% 4% Northern 8% 3% 54% 42% 4% Business owners Employed – Full Time Employed – Part Time Self- Student Others Currently un- employed employed Brong Ahafo 8% Married Others Single Volta 8% AGE Ashanti 19% 36% Eastern 9% 28% 24% EDUCATION 59% Greater Accra 19% 41% Western 8% 9% Central 10% 3% Graduates/ Post Graduates Less than Graduate Others 4% 15-24 25-34 35-44 45-54 55+ 28 © 2022 Borderless Access

  29. Kenya Panel Size 60,000+ EMPLOYMENT STATUS CITIES GENDER 54% 42% 46% Male Female Nairobi Metro 26% 24% 16% MARITAL STATUS 8% 7% 2% 1% 58% 33% 9% Eldoret 5% Business owners Employed – Full Time Employed – Part Time Self- Student Others Currently un- employed employed Married Others Single Nairobi 24% Ruiru 2% AGE Kisumu 7% 36% 28% Nakuru 6% EDUCATION 63% 21% Mombasa 18% 37% 13% Kehancha 3% 2% Graduates/ Post Graduates Less than Graduate Others 9% 15-24 25-34 35-44 45-54 55+ 29 © 2022 Borderless Access

  30. KSA Panel Size 225,000+ EMPLOYMENT STATUS CITIES GENDER 69% 57% 31% Al Qatif 3% Male Female Damman 8% 13% 10% Khubar 4% 7% 6% 5% MARITAL STATUS 2% Hufuf 4% Buraydah 3% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 38% 58% 4% employed Madinah 6% Married Others Single Jeddah 19% AGE Makkah 9% 37% 29% Riyadh 34% EDUCATION 52% 22% At Taif 3% Others 7% 48% 9% 3% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 30 © 2022 Borderless Access

  31. Kuwait Panel Size 20,000+ EMPLOYMENT STATUS CITIES GENDER 69% 31% 59% Kuwait City – Capital Region 16% Male Female Jahra 8% 9% 8% 8% 6% 6% MARITAL STATUS 4% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 42% 56% 2% employed Hawalli 24% Married Others Single Ahmadi 17% AGE Farwaniya 22% 44% EDUCATION 63% Mubarak Al Kabeer 6% 26% 37% 14% 14% Others 7% 2% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 31 © 2022 Borderless Access

  32. Nigeria Panel Size 150,000+ EMPLOYMENT STATUS CITIES GENDER 67% 33% 33% 19% 19% Male Female 13% 12% MARITAL STATUS 2% 2% Ibadan 5% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 57% 40% 3% employed Abuja 13% Married Others Single AGE 47% Benin City 5% Lagos 42% EDUCATION 67% 24% Aba 4% 21% 33% 7% Port Harcourt 9% Others 22% Others 22% Graduates/ Post Graduates Less than Graduate 1% 15-24 25-34 35-44 45-54 55+ 32 © 2022 Borderless Access

  33. Qatar Panel Size 20,000+ EMPLOYMENT STATUS CITIES GENDER 71% 65% 29% Umm Slal 6% Al Shamal 5% Male Female 9% 8% 8% MARITAL STATUS 5% 3% 2% Al Khor 8% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 34% 60% 5% employed Al Daayen 4% Married Others Single Doha 40% AGE Al Rayyan 23% 47% Al Wakra 8% EDUCATION 62% 25% 38% 13% 11% 4% Graduates/ Post Graduates Less than Graduate Others 6% 15-24 25-34 35-44 45-54 55+ 33 © 2022 Borderless Access

  34. South Africa Panel Size 300,000+ EMPLOYMENT STATUS CITIES GENDER 44% 49% 56% Pretoria 12% Johannesburg 21% Male Female Bloemfontein 4% 16% 12% 7% 6% 6% MARITAL STATUS 4% Benoni 4% Alberton 2% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 39% 48% 13% employed Married Others Single Durban 14% AGE 35% 25% EDUCATION 33% 21% Port Elizabeth 5% 67% 14% Cape Town 20% 5% Graduates/ Post Graduates Less than Graduate Others 18% 15-24 25-34 35-44 45-54 55+ 34 © 2022 Borderless Access

  35. UAE Panel Size 200,000+ EMPLOYMENT STATUS CITIES GENDER 67% 66% 33% Ras al-Khaimah 5% Male Female Umm al-Quwain 1% Ajman 3% Sharjah 12% 10% 8% 6% MARITAL STATUS 4% 3% 3% Dubai 40% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 41% 56% 3% Abu Dhabi 30% employed Fujairah 3% Married Others Single AGE Al Ain 4% 45% EDUCATION 65% 25% 20% 35% Others 2% 8% 2% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 35 © 2022 Borderless Access

  36. Asia-Pacific 36 © 2022 Borderless Access

  37. Australia Panel Size 100,000 EMPLOYMENT STATUS CITIES GENDER 37% 26% 63% 22% 19% Northern Territory 2% New South Wales 28% 16% Male Female 10% 6% MARITAL STATUS Queensland 22% 1% Australian Capital Territory 3% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 31% 46% 23% employed Married Others Single AGE 27% 22% 22% Western Australia 7% Victoria 25% EDUCATION 34% 18% South Australia 11% Tasmania 2% 11% 66% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 37 © 2022 Borderless Access

  38. China Panel Size 250,000+ EMPLOYMENT STATUS CITIES GENDER 57% 43% 58% Male Female 15% Wuhan 4% 8% 6% 6% MARITAL STATUS 4% 3% Beijing 15% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 39% 55% 6% employed Tianjin 4% Married Others Single Shanghai 15% AGE Chengdu 6% 37% Guangzhou 13% Chongqing 7% 28% EDUCATION 72% 24% Shenzhen 13% 28% 9% Others 23% 2% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 38 © 2022 Borderless Access

  39. Hong Kong Panel Size 25,000+ EMPLOYMENT STATUS CITIES GENDER 41% 64% 59% New Territories East 19% Male Female New Territories West 21% 14% 6% MARITAL STATUS 5% 5% 4% 2% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 47% 51% 2% employed Married Others Single AGE Kowloon 42% 34% 32% EDUCATION 77% 16% 23% 14% Hong Kong Island 18% 4% Graduates/ Post Graduates Less than Graduate Others 2% 15-24 25-34 35-44 45-54 55+ 39 © 2022 Borderless Access

  40. India Panel Size 1,500,000+ EMPLOYMENT STATUS CITIES GENDER 67% 44% 33% 24% Male Female Delhi 16% Ahmedabad 4% 8% 8% 7% 5% 4% MARITAL STATUS Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 49% 48% 3% employed Married Others Single Mumbai 15% AGE Kolkata 9% 38% Hyderabad 10% Pune 6% 29% EDUCATION 74% Bangalore 11% Chennai 9% 17% 26% 13% 3% Graduates/ Post Graduates Less than Graduate Others 20% 15-24 25-34 35-44 45-54 55+ 40 © 2022 Borderless Access

  41. Indonesia Panel Size 320,000+ EMPLOYMENT STATUS CITIES GENDER 67% 38% 33% 28% Banjarmasin 3% Banda Aceh 5% Male Female Ambon 13% 13% 6% 6% 5% 4% MARITAL STATUS Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 48% 44% 8% Balikpapan 5% employed Jakarta 21% Married Others Single AGE Bandung 9% Surabaya 11% 39% 35% Bandar Lampung 4% EDUCATION 46% 18% 54% Others 29% 6% 2% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 41 © 2022 Borderless Access

  42. Malaysia Panel Size 60,000+ EMPLOYMENT STATUS CITIES GENDER 44% 57% 56% Male Female 17% 14% Sabah 2% MARITAL STATUS 4% 3% 3% 2% Kelantan 2% Perlis 1% Terengganu 2% Kedah 5% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 52% 47% 1% Pahang 2% employed Perak 7% Selangor 29% Negeri Sembilan 5% Married Others Single Kuala Lumpur 19% AGE Johor 11% Sarawak 3% Pulau Pinang 7% 35% 28% Melaka 3% EDUCATION 71% 19% Others 2% 14% 29% 4% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 42 © 2022 Borderless Access

  43. New Zealand Panel Size 55,000+ EMPLOYMENT STATUS CITIES GENDER 34% 37% 66% Northland 2% Male Female Auckland 36% 16% 16% 13% Bay of Plenty 6% 8% 8% Hamilton 7% MARITAL STATUS 2% Gisborne 2% Taranaki 3% Hawke's Bay 4% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 36% 46% 18% Menawatu Wanganui 4% employed Wellington 11% Married Others Single Nelson/ Marlborough 2% AGE Canterbury/ Westcoast 7% 26% 24% 24% 18% EDUCATION 29% Otago 4% 71% Southland 3% 8% Others 9% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 43 © 2022 Borderless Access

  44. Philippines Panel Size 220,000+ EMPLOYMENT STATUS CITIES GENDER 33% 44% 67% Male Female Central Luzon 7% 15% 14% 9% 8% 7% Metro Manila (NCR) 41% MARITAL STATUS 3% Calabarzon 11% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 41% 52% 7% Western Visayas 4% employed Central Visayas 12% Married Others Single Northern Mindanao 6% AGE Davao Region 6% 40% EDUCATION 60% 25% Others 13% 19% 40% 10% 6% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 44 © 2022 Borderless Access

  45. Singapore Panel Size 55,000+ EMPLOYMENT STATUS CITIES GENDER 53% 55% 47% Woodlands 6% Male Female Sengkang 3% Yishun 4% Bukit Panjang 3% 16% Punggol 2% 8% 7% 7% 6% Jurong West 5% MARITAL STATUS 1% Pasir Ris 3% Tampines 5% Bedok 4% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 47% 48% 5% employed Hougang 5% Married Others Single Ang Mo Kio 10% AGE Singapore (Downtown Core) 10% Toa Payoh 3% Newton 3% 36% Tanglin 2% EDUCATION 43% 22% 22% Singapore River 7% Others 25% 16% 57% 4% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 45 © 2022 Borderless Access

  46. South Korea Panel Size 55,000+ EMPLOYMENT STATUS CITIES GENDER 48% 44% 52% Incheon 8% Male Female 18% Ansan 4% 11% Seoul 28% 7% 7% 7% 6% MARITAL STATUS Suwon 6% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 46% 48% 6% employed Andong 8% Married Others Single AGE Daegu 6% Daejeon 6% 32% 26% 24% EDUCATION 58% Busan 12% 15% 42% Others 22% 3% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 46 © 2022 Borderless Access

  47. Taiwan Panel Size 75,000+ EMPLOYMENT STATUS CITIES GENDER 58% 44% 42% 28% Taipei 33% Male Female Taoyuan 12% 7% 6% 6% 5% 4% MARITAL STATUS Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others Taichung 14% 47% 42% 11% employed Married Others Single AGE 37% Tainan 11% 28% EDUCATION 38% 21% Kaohsiung 12% 62% 10% Others 18% 4% Graduates/ Post Graduates Less than Graduate 15-24 25-34 35-44 45-54 55+ 47 © 2022 Borderless Access

  48. Thailand Panel Size 200,000+ EMPLOYMENT STATUS CITIES GENDER 51% 48% Chiang Rai 2% 49% Male Female 18% Chiang Mai 5% 12% 7% Udon Thani 2% 6% 5% MARITAL STATUS 4% Phra Nakhon Si Ayutthaya Khon Kaen 2% 3% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 54% 37% 9% employed Mueang Nonthaburi 2% Nakhon Ratchasima 3% Married Others Single Nakhon Pathom 2% Ban Lam Luk Ka 2% AGE Bangkok 26% 40% Chon Buri 5% Rayong 2% 33% Samut Prakan 4% EDUCATION 40% 18% 60% Phuket 2% 7% Songkhla 2% 2% Graduates/ Post Graduates Less than Graduate Others 36% 15-24 25-34 35-44 45-54 55+ 48 © 2022 Borderless Access

  49. Vietnam Panel Size 65,000+ EMPLOYMENT STATUS CITIES GENDER 57% 44% 43% Male Female 22% Hanoi City 22% Red River Delta 19% 13% 10% Hai Phong City 4% 8% MARITAL STATUS 2% 2% Business owners Currently un- employed Employed – Full Time Employed – Part Time Self- Student Others 52% 45% 3% employed Married Others Single Da Nang City 6% AGE 35% 32% EDUCATION 80% 22% 20% 9% Ho Chi Minh City 29% Mekong River Delta 4% 2% Graduates/ Post Graduates Less than Graduate Others 16% 15-24 25-34 35-44 45-54 55+ 49 © 2022 Borderless Access

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