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Panelbook APAC version

The document provides demographic information about Toluna panel members in various countries in Asia Pacific (APAC). It includes data on age, gender, geographic region, household income, panel size, language, and smartphone penetration for Australia (113,000 members), China (1,455,000 members), Hong Kong (100,000 members), India (150,000 members), Indonesia (117,000 members), Japan (210,000 members), and South Korea (245,000 members). The document indicates that Toluna has a total of over 10 million panel members globally, with approximately 3 million members each in Europe, the Middle East, and Africa, as well as Asia Pacific and the Americas.

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PanelBook 2016 APAC
+/- 10 Million Total Members EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA: 3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members South America: 1.5+ Million Members EMEA: 3+ Million Members North America: 2+ Million Members APAC: 3+ Million Members Toluna Panel in 59 Countries The Americas Argentina 104,300 Brazil 646,800 Canada 198,500 Chile 94,500 Colombia* 113,200 Ecuador 16,400 Mexico 306,700 Paraguay 3,400 Peru 53,300 United States 1,706,700 Uruguay 6,900 Venezuela 72,000 EMEA Austria 19,000 Belgium 77,000 Bulgaria 9,500 Czech Republic 23,000 Denmark 27,000 Egypt* 7,700 Finland 20,300 France 435,500 Germany 322,500 Greece 29,000 Hungary* 31,900 Ireland 23,200 Italy 222,000 Latvia 6,500 Lithuania 8,100 Netherlands 114,000 Nigeria 1,300 Norway 20,500 Poland 73,000 Portugal 30,000 Romania 42,500 Russian Federation 322,400 Saudi Arabia* 1,300 Slovakia 5,900 South Africa 41,500 Spain 250,000 Sweden 51,800 Switzerland 19,000 Turkey 103,200 UAE* 1,500 Ukraine 35,300 United Kingdom 580,000 APAC Australia 113,000 China 1,455,000 Hong Kong 100,000 India 150,000 Indonesia 117,000 Japan 210,000 Korea 245,000 Malaysia 68,000 New Zealand 40,000 Pakistan* 4,000 Philippines 77,000 Singapore 105,000 Taiwan* 86,000 Thailand 105,000 Vietnam 85,000 *Toluna.com community launch pending Data pulled July 2016 | 2
Toluna Partners in 72 Countries The Americas Anguilla Antigua and Barbuda Barbados Bolivia British Virgin Islands Cayman Islands Costa Rica Cuba Dominican Republic El Salvador Grenada Guatemala Guyana Haiti Honduras Jamaica Montserrat Nicaragua Panama Puerto Rico St. Kitts and Nevis St. Lucia St. Vincent Grenadines Suriname Trinidad and Tobago Turks and Caicos EMEA Algeria Bahrain Belarus Benin Burkina Faso Burundi Cameroon Central African Republic Congo Croatia Cyprus Estonia Ghana Guinea Guinea Bissau Iraq Ivory Coast Jordan Kazakhstan Kenya Kuwait Lebanon Liberia Madagascar Mali Morocco Mozambique Niger Oman Palestine Qatar Rwanda Senegal Slovenia Somalia Sudan Swaziland Syria Tanzania Uganda Yemen Zambia Zimbabwe APAC Bangladesh Cambodia Fiji Laos Nepal Sri Lanka +/- 10 Million Total Members EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA: 3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members South America: 1.5+ Million Members EMEA: 3+ Million Members North America: 2+ Million Members APAC: 3+ Million Members Data pulled July 2016 | 3
Panel Communities APAC
Data pulled July 2016 | 51 Age Panel Count Nat Rep 18-24 27% 12% 25-34 24% 18% 35-44 17% 18% 45-54 14% 17% 55-99 18% 34% Gender Panel Count Nat Rep Female 62% 50% Male 38% 50% Geographic Region Panel Count Australian 2% Capital Territory New 30% South Wales Northern 1% Territory Queensland 22% South Australia 8% Tasmania 2% Victoria 25% Western 10% Australia Household Income Panel Count Less than $30,000 AUD 25% $30,000 to $39,999 AUD 9% $40,000 to $49,999 AUD 8% $50,000 to $59,999 AUD 8% $60,000 to $69,999 AUD 7% $70,000 to $79,999 AUD 5% $80,000 to $89,999 AUD 4% $90,000 to $99,999 AUD 4% $100,000 to $129,999 AUD 6% $130,000 to $159,999 AUD 3% $160,000 to $199,999 AUD 1% $200,000 to $249,999 AUD 1% $250,000 to $300,000 AUD 1% $300,000 AUD or more 1% Prefer not to say 17% Subtotal selection 100% Australia According to data from April 2016 +/-18% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report Panel Reach: 113,000 Language: English Smartphone Penetration: 77%*
Data pulled July 2016 | 52 Age Panel Count Nat Rep 18-24 28% 14% 25-34 44% 20% 35-44 20% 20% 45-54 6% 19% 55-99 2% 27% Gender Panel Count Nat Rep Female 40% 49% Male 60% 51% Geographic Region Panel Count East China 37% North China 16% North East China 11% South Central China 36% Household Income Panel Count Less than 20’000 CNY 14% 20’000 to 29’999 CNY 6% 30’000 to 49’999 CNY 9% 50’000 to 69’999 CNY 11% 70’000 to 99’999 CNY 8% 100’000 to 119’999 CNY 7% 120’000 to 129’999 CNY 3% 130’000 to 149’999 CNY 3% 150’000 to 179’999 CNY 3% 180’000 to 199’999 CNY 2% 200’000 to 219’000 CNY 3% 220’000 to 239’999 CNY 1% 240’000 to 269’999 CNY 2% 270’000 to 299’999 CNY 1% 300’000 CNY or more 3% Prefer not to say 24% Subtotal selection 100% China Panel Reach: 1,455,000 Language: Mandarin (Simplified Chinese) Smartphone Penetration: 58%* According to data from April 2016 +/-7% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
Data pulled July 2016 | 53 Age Panel Count Nat Rep 18-24 39% 9% 25-34 37% 16% 35-44 16% 18% 45-54 6% 23% 55-99 2% 33% Gender Panel Count Nat Rep Female 57% 55% Male 43% 45% Geographic Region Panel Count Hong Kong Island 15% Kowloon 31% New Territories 51% Outlying Islands 3% Household Income Panel Count Less than 125 000 HKD 13% 125 000 to 159 999 HKD 7% 160 000 to 189 999 HKD 4% 190 000 to 254 999 HKD 8% 255 000 to 319 999 HKD 8% 320 000 to 379 999 HKD 8% 380 000 to 444 999 HKD 6% 445 000 to 508 499 HKD 8% 508 500 to 569 999 HKD 5% 570 000 to 634 999 HKD 6% 635 000 HKD or more 14% Prefer not to say 13% Subtotal selection 100% Hong Kong Panel Reach: 100,000 Language: Cantonese (Traditional Chinese), English Smartphone Penetration: 83%* According to data from April 2016 +/-29% of respondents complete Toluna surveys via a mobile device * Census and Statistics Department, Hong Kong Government
Data pulled July 2016 | 54 Age Panel Count Nat Rep 18-24 39% 19% 25-34 40% 24% 35-44 13% 21% 45-54 5% 16% 55-99 3% 19% Gender Panel Count Nat Rep Female 26% 49% Male 74% 51% Geographic Region Panel Count Eastern India 9% North India 18% North Central 13% North Eastern 2% Southern India 37% Western 21% Household Income Panel Count Less than Rs 30,000 13% Rs 30,000 to Rs 49,999 8% Rs 50,000 to Rs 99,9999 8% Rs 1,00,000 to Rs 1,49,999 9% Rs 1,50,000 to Rs 1,99,999 7% Rs 2,00,000 to Rs 2,99,999 10% Rs 3,00,000 to Rs 4,99,999 14% Rs 5,00,000 to Rs 6,99,999 9% Rs 7,00,000 to Rs 9,99,999 6% Rs 10,00,000 to Rs 15,99,999 4% Rs 16,00,000 to Rs 19,99,999 1% Rs 20,00,000 to Rs 29,99,999 1% Rs 30,00,000 or more 1% Prefer not to say 9% Subtotal selection 100% India Panel Reach: 150,000 Language: Hindi, English Smartphone Penetration: 17%* According to data from April 2016 +/-19% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
Data pulled July 2016 | 55 Age Panel Count Nat Rep 18-24 45% 17% 25-34 34% 23% 35-44 15% 22% 45-54 5% 16% 55-99 1% 21% Household Income Panel Count Less than Rp 5 million 26% Rp 5 million - 10 million 11% Rp 10 million - 20 million 8% Rp 20 million - 30 million 6% Rp 30 million - 40 million 5% Rp 40 million - 50 million 3% Rp 50 million - 60 million 4% Rp 60 million - 70 million 3% Rp 70 million - 80 million 2% Rp 80 million - 90 million 2% Rp 90 million - 100 million 2% Rp 100 million - 500 million 6% More than Rp 500 million 1% Prefer not to say 21% Subtotal selection 100% Gender Panel Count Nat Rep Female 34% 50% Male 66% 50% Indonesia Panel Reach: 117,000 Language: Bahasa Indonesian Smartphone Penetration: 21%* According to data from April 2016 +/-25% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
Data pulled July 2016 | 56 Age Panel Count Nat Rep 18-24 10% 8% 25-34 20% 14% 35-44 23% 17% 45-54 24% 15% 55-99 23% 46% Gender Panel Count Nat Rep Female 36% 52% Male 64% 48% Geographic Region Panel Count Chubu 14% Chugoku 5% Hokkaido 5% Kanto 41% Kinki 19% Kyushu 7% Okinawa 1% Shikoku 2% Tohoku 5% Okinawa 1% Household Income Panel Count 1,500,000 JPY or less 7% 1,500,001 JPY to 3,000,000 JPY 12% 3,000,001 JPY to 4,000,000 JPY 13% 4,000,001 JPY to 5,000,000 JPY 12% 5,000,001 JPY to 6,000,000 JPY 10% 6,000,001 JPY to 8,000,000 JPY 13% 8,000,001 JPY to 10,000,000 JPY 9% 10,000,001 JPY to 13,000,000 JPY 5% 13,000,001 JPY to 15,000,000 JPY 2% 15,000,001 JPY to 20,000,000 JPY 1% 20,000,001 JPY to 25,000,000 JPY 0% 25,000,000 JPY or more 1% Prefer not to say 15% Subtotal selection 100% Japan Panel Reach: 210,000 Language: Japanese Smartphone Penetration: 84%* According to data from April 2016 +/-16% of respondents complete Toluna surveys via a mobile device * CIAJ 2016 Report
Data pulled July 2016 | 57 Age Panel Count Nat Rep 18-24 34% 12% 25-34 31% 18% 35-44 21% 20% 45-54 10% 21% 55-99 4% 29% Gender Panel Count Nat Rep Female 48% 51% Male 52% 49% Geographic Region Panel Count Seoul 31% Incheon 6% Metropolitan City Busan 7% Metropolitan City Gwangju 3% Metropolitan City Daegu 4% Metropolitan City Daejeon 3% Metropolitan City Ulsan 2% Gangwon-do 2% Gyeonggi-do 22% Kyungnam 4% Gyeongbuk 4% Jeollanam 2% Chonbuk 4% Chungnam 2% Chungbuk 3% Jeju 1% Household Income Panel Count Less than 20 Million Won 20% 20 to 30 Million Won 13% 30 to 40 Million Won 14% 40 to 50 Million Won 12% 50 to 60 Million Won 9% 60 to 70 Million Won 6% 70 to 80 Million Won 4% 80 to 90 Million Won 2% 90 to 1 Billion Won 2% 1 Billion Won or more 3% Prefer not to say 15% Subtotal selection 100% Korea Panel Reach: 245,000 Language: Korean Smartphone Penetration: 88%* According to data from April 2016 +/-26% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
Data pulled July 2016 | 58 Age Panel Count Nat Rep 18-24 36% 18% 25-34 41% 24% 35-44 16% 21% 45-54 5% 18% 55-99 2% 20% Gender Panel Count Nat Rep Female 57% 50% Male 43% 50% Ethnicity Panel Count Malay 58% Chinese 27% Indian 7% Other Ethnicity 8% Geographic Region Panel Count Selangor 21% Wilayah 13% Persekutuan Kuala Lumpur Johor 12% Sabah 8% Kedah 8% Pahang 7% Perak 6% Kelantan 5% Terengganu 4% Melaka 4% Sarawak 4% Negeri Sembilan 3% Pinang 2% Putrajaya 1% Perlis 1% Labuan 1% Household Income Panel Count Less than 20,000 Ringgit 12% 20,000 to 34,999 Ringgit 22% 35,000 to 49,999 Ringgit 15% 50,000 to 99,999 Ringgit 16% 100,000 Ringgit or more 5% Prefer not to say 30% Subtotal selection 100% Malaysia * Pew Research Center 2016 Report Panel Reach: 68,000 Language: Malay Smartphone Penetration: 65%* According to data from April 2016 +/-25% of respondents complete Toluna surveys via a mobile device
Data pulled July 2016 | 59 Age Panel Count Nat Rep 18-24 28% 13% 25-34 21% 17% 35-44 16% 18% 45-54 15% 19% 55-99 20% 34% Gender Panel Count Nat Rep Female 61% 51% Male 39% 49% Geographic Region Panel Count Auckland 35% Bay of Plenty 7% Canterbury/ 11% West Coast Gisborne 1% Nelson/ 3% Marlborough Northland 4% Otago/ 6% Southland Taranaki/ 4% Wanganui Hawkes Bay 4% Waikato 10% Wellington/ 15% Manawatu Household Income Panel Count Less than $20,000 NZD 22% $20,000 to $30,000 NZD 11% $30,000 to $40,000 NZD 9% $40,000 to $50,000 NZD 8% $50,000 to $60,000 NZD 8% $60,000 to $70,000 NZD 10% $70,000 to$ 80,000 NZD 3% $80,000 to $90,000 NZD 2% $90,000 to $100,000 NZD 2% $100,000 to $150,000 NZD 4% $150,000 NZD or more 1% Prefer not to say 20% Subtotal selection 100% New Zealand According to data from April 2016 +/-28% of respondents complete Toluna surveys via a mobile device * New Zealand Multi-Screen Report, Nielsen, 2015 Panel Reach: 40,000 Language: English, Māori, New Zealand Sign Language Smartphone Penetration: 87%*
Data pulled July 2016 | 60 Pakistan Age Panel Count Nat Rep 18-24 40% - 25-34 36% - 35-44 15% - 45-54 5% - 55-64 2.5% - 65-99 0.5% - Gender Panel Count Nat Rep Female 9% - Male 91% - Panel Reach: 4,000 Language: Urdu, English
Data pulled July 2016 | 61 Age Panel Count Nat Rep 18-24 30% 22% 25-34 43% 25% 35-44 17% 21% 45-54 6% 15% 55-99 4% 17% Gender Panel Count Female 63% Male 37% Geographic Region Panel Count Metro Manila 30% Luzon 35% Visayas 19% Mindanao 16% Household Income Panel Count Low Annual Income 23% Average Annual Income 18% High Annual Income 14% Prefer not to say 45% Subtotal selection 100% Panel Reach: 77,000 Language: Filipino, English Smartphone Penetration: 22%* * Pew Research Center 2016 Report According to data from April 2016 +/-27% of respondents complete Toluna surveys via a mobile device Philippines
Data pulled July 2016 | 62 Age Panel Count Nat Rep 18-24 25% 17% 25-34 36% 26% 35-44 23% 19% 45-54 11% 16% 55-99 5% 22% Gender Panel Count Nat Rep Female 53% 51% Male 47% 49% Ethnicity Panel Count Chinese 68% Malay 12% Indian 10% Other Ethnicity 10% Citizenship Status Panel Count I am a citizen 84.5% of the country I am a permanent  11% resident of the country I am a non-resident  4.5% with a working visa Household Income Panel Count Less than 30,000 SGD 20% 30,000 to 39,999 SGD 13% 40,000 to 49,999 SGD 9% 50,000 to 59,999 SGD 7% 60,000 to 69,999 SGD 7% 70,000 to 79,999 SGD 6% 80,000 to 89,999 SGD 5% 90,000 to 99,999 SGD 4% 100,000 to 129,999 SGD 6% 130,000 to 159,999 SGD 3% 160,000 or more 3% Prefer not to say 17% Subtotal selection 100% Singapore According to data from April 2016 +/-27% of respondents complete Toluna surveys via a mobile device * Government of Singapore, 2016 Panel Reach: 105,000 Language: English, Mandarin, Malay, Tamil Smartphone Penetration: 90%*
Data pulled July 2016 | 63 Age Panel Count Nat Rep 18-24 18% 14% 25-34 33% 20% 35-44 30% 20% 45-54 15% 20% 55-99 4% 26% Gender Panel Count Female 58% Male 42% Household Income Panel Count Less than 180.000 NTD 12% 180.000 to 269.999 NTD 9% 270.000 to 314.999 NTD 8% 315.000 to 429.999 NTD 8% 430.000 to 539.999 NTD 8% 540.000 to 674.999 NTD 8% 675.000 to 809.999 NTD 9% 810.000 to 1.099.999 NTD 8% 1.100.000 to 1.349.999 NTD 9% 1.350.000 to 1.619.999 NTD 5% 1.620.000 to 1.899.999 NTD 5% 1.900.000 to 2.159.999 NTD 4% 2.160.000 to 2.429.999 NTD 2% 2.430.000 to 2.699.999 NTD 1% 2.700.000 NTD or more 4% Subtotal selection 100% Taiwan Panel Reach: 86,000* Language: Mandarin (Traditional Chinese) Smartphone Penetration: 83%* * Our reach includes our growing Toluna panel plus our trusted partner in this market * National Communications Commission, 2016
Data pulled July 2016 | 64 Age Panel Count Nat Rep 18-24 44% 14% 25-34 36% 20% 35-44 15% 21% 45-54 4% 20% 55-99 1% 26% Gender Panel Count Nat Rep Female 62% 51% Male 38% 49% Geographic Region Panel Count Central Thailand 48% Eastern Thailand 8% Northeastern 18% Thailand Northern Thailand 26% Household Income Panel Count Less than 200,000 Baht 29% 200,001 to 265,000 Baht 13% 265,001 to 330,000 Baht 10% 330,001 to 395,000 Baht 8% 395,001 to 460,000 Baht 5% 460,001 to 525,000 Baht 6% 525,001 to 590,000 Baht 4% 590,001 to 655,000 Baht 4% 655,001 to 900,000 Baht 6% 900,001 to 1,200,000Baht 5% Prefer not to say 5% Subtotal selection 100% Thailand Panel Reach: 105,000 Language: Thai Smartphone Penetration: 40%* According to data from April 2016 +/-32% of respondents complete Toluna surveys via a mobile device * IDC Thailand, 2016 1,200,000 Baht & above 10%
Data pulled July 2016 | 65 Age Panel Count Nat Rep 18-24 59% 19% 25-34 35% 21% 35-44 5% 21% 45-54 1% 21% 55-99 0% 18% Gender Panel Count Female 60% Male 40% Geographic Region Panel Count Hanoi 22% Ho Chi Minh 48% Dong Nai 2% Tp Da Nang 2% Hai Phong 2% Others Vietnam 24% Household Income Panel Count Low Annual Income 19% Average Annual Income 70% High Annual Income 4% Prefer not to say 7% Subtotal selection 100% Panel Reach: 85,000 Language: Vietnamese Smartphone Penetration: 36%* * Vietnam Mobile Market Study, Appota, 2016 Vietnam
Panelbook APAC version

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Panelbook APAC version

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    +/- 10 Million TotalMembers EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA: 3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members South America: 1.5+ Million Members EMEA: 3+ Million Members North America: 2+ Million Members APAC: 3+ Million Members Toluna Panel in 59 Countries The Americas Argentina 104,300 Brazil 646,800 Canada 198,500 Chile 94,500 Colombia* 113,200 Ecuador 16,400 Mexico 306,700 Paraguay 3,400 Peru 53,300 United States 1,706,700 Uruguay 6,900 Venezuela 72,000 EMEA Austria 19,000 Belgium 77,000 Bulgaria 9,500 Czech Republic 23,000 Denmark 27,000 Egypt* 7,700 Finland 20,300 France 435,500 Germany 322,500 Greece 29,000 Hungary* 31,900 Ireland 23,200 Italy 222,000 Latvia 6,500 Lithuania 8,100 Netherlands 114,000 Nigeria 1,300 Norway 20,500 Poland 73,000 Portugal 30,000 Romania 42,500 Russian Federation 322,400 Saudi Arabia* 1,300 Slovakia 5,900 South Africa 41,500 Spain 250,000 Sweden 51,800 Switzerland 19,000 Turkey 103,200 UAE* 1,500 Ukraine 35,300 United Kingdom 580,000 APAC Australia 113,000 China 1,455,000 Hong Kong 100,000 India 150,000 Indonesia 117,000 Japan 210,000 Korea 245,000 Malaysia 68,000 New Zealand 40,000 Pakistan* 4,000 Philippines 77,000 Singapore 105,000 Taiwan* 86,000 Thailand 105,000 Vietnam 85,000 *Toluna.com community launch pending Data pulled July 2016 | 2
  • 3.
    Toluna Partners in72 Countries The Americas Anguilla Antigua and Barbuda Barbados Bolivia British Virgin Islands Cayman Islands Costa Rica Cuba Dominican Republic El Salvador Grenada Guatemala Guyana Haiti Honduras Jamaica Montserrat Nicaragua Panama Puerto Rico St. Kitts and Nevis St. Lucia St. Vincent Grenadines Suriname Trinidad and Tobago Turks and Caicos EMEA Algeria Bahrain Belarus Benin Burkina Faso Burundi Cameroon Central African Republic Congo Croatia Cyprus Estonia Ghana Guinea Guinea Bissau Iraq Ivory Coast Jordan Kazakhstan Kenya Kuwait Lebanon Liberia Madagascar Mali Morocco Mozambique Niger Oman Palestine Qatar Rwanda Senegal Slovenia Somalia Sudan Swaziland Syria Tanzania Uganda Yemen Zambia Zimbabwe APAC Bangladesh Cambodia Fiji Laos Nepal Sri Lanka +/- 10 Million Total Members EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA: 3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members3+ Million Members South America: 1.5+ Million Members EMEA: 3+ Million Members North America: 2+ Million Members APAC: 3+ Million Members Data pulled July 2016 | 3
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  • 5.
    Data pulled July2016 | 51 Age Panel Count Nat Rep 18-24 27% 12% 25-34 24% 18% 35-44 17% 18% 45-54 14% 17% 55-99 18% 34% Gender Panel Count Nat Rep Female 62% 50% Male 38% 50% Geographic Region Panel Count Australian 2% Capital Territory New 30% South Wales Northern 1% Territory Queensland 22% South Australia 8% Tasmania 2% Victoria 25% Western 10% Australia Household Income Panel Count Less than $30,000 AUD 25% $30,000 to $39,999 AUD 9% $40,000 to $49,999 AUD 8% $50,000 to $59,999 AUD 8% $60,000 to $69,999 AUD 7% $70,000 to $79,999 AUD 5% $80,000 to $89,999 AUD 4% $90,000 to $99,999 AUD 4% $100,000 to $129,999 AUD 6% $130,000 to $159,999 AUD 3% $160,000 to $199,999 AUD 1% $200,000 to $249,999 AUD 1% $250,000 to $300,000 AUD 1% $300,000 AUD or more 1% Prefer not to say 17% Subtotal selection 100% Australia According to data from April 2016 +/-18% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report Panel Reach: 113,000 Language: English Smartphone Penetration: 77%*
  • 6.
    Data pulled July2016 | 52 Age Panel Count Nat Rep 18-24 28% 14% 25-34 44% 20% 35-44 20% 20% 45-54 6% 19% 55-99 2% 27% Gender Panel Count Nat Rep Female 40% 49% Male 60% 51% Geographic Region Panel Count East China 37% North China 16% North East China 11% South Central China 36% Household Income Panel Count Less than 20’000 CNY 14% 20’000 to 29’999 CNY 6% 30’000 to 49’999 CNY 9% 50’000 to 69’999 CNY 11% 70’000 to 99’999 CNY 8% 100’000 to 119’999 CNY 7% 120’000 to 129’999 CNY 3% 130’000 to 149’999 CNY 3% 150’000 to 179’999 CNY 3% 180’000 to 199’999 CNY 2% 200’000 to 219’000 CNY 3% 220’000 to 239’999 CNY 1% 240’000 to 269’999 CNY 2% 270’000 to 299’999 CNY 1% 300’000 CNY or more 3% Prefer not to say 24% Subtotal selection 100% China Panel Reach: 1,455,000 Language: Mandarin (Simplified Chinese) Smartphone Penetration: 58%* According to data from April 2016 +/-7% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
  • 7.
    Data pulled July2016 | 53 Age Panel Count Nat Rep 18-24 39% 9% 25-34 37% 16% 35-44 16% 18% 45-54 6% 23% 55-99 2% 33% Gender Panel Count Nat Rep Female 57% 55% Male 43% 45% Geographic Region Panel Count Hong Kong Island 15% Kowloon 31% New Territories 51% Outlying Islands 3% Household Income Panel Count Less than 125 000 HKD 13% 125 000 to 159 999 HKD 7% 160 000 to 189 999 HKD 4% 190 000 to 254 999 HKD 8% 255 000 to 319 999 HKD 8% 320 000 to 379 999 HKD 8% 380 000 to 444 999 HKD 6% 445 000 to 508 499 HKD 8% 508 500 to 569 999 HKD 5% 570 000 to 634 999 HKD 6% 635 000 HKD or more 14% Prefer not to say 13% Subtotal selection 100% Hong Kong Panel Reach: 100,000 Language: Cantonese (Traditional Chinese), English Smartphone Penetration: 83%* According to data from April 2016 +/-29% of respondents complete Toluna surveys via a mobile device * Census and Statistics Department, Hong Kong Government
  • 8.
    Data pulled July2016 | 54 Age Panel Count Nat Rep 18-24 39% 19% 25-34 40% 24% 35-44 13% 21% 45-54 5% 16% 55-99 3% 19% Gender Panel Count Nat Rep Female 26% 49% Male 74% 51% Geographic Region Panel Count Eastern India 9% North India 18% North Central 13% North Eastern 2% Southern India 37% Western 21% Household Income Panel Count Less than Rs 30,000 13% Rs 30,000 to Rs 49,999 8% Rs 50,000 to Rs 99,9999 8% Rs 1,00,000 to Rs 1,49,999 9% Rs 1,50,000 to Rs 1,99,999 7% Rs 2,00,000 to Rs 2,99,999 10% Rs 3,00,000 to Rs 4,99,999 14% Rs 5,00,000 to Rs 6,99,999 9% Rs 7,00,000 to Rs 9,99,999 6% Rs 10,00,000 to Rs 15,99,999 4% Rs 16,00,000 to Rs 19,99,999 1% Rs 20,00,000 to Rs 29,99,999 1% Rs 30,00,000 or more 1% Prefer not to say 9% Subtotal selection 100% India Panel Reach: 150,000 Language: Hindi, English Smartphone Penetration: 17%* According to data from April 2016 +/-19% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
  • 9.
    Data pulled July2016 | 55 Age Panel Count Nat Rep 18-24 45% 17% 25-34 34% 23% 35-44 15% 22% 45-54 5% 16% 55-99 1% 21% Household Income Panel Count Less than Rp 5 million 26% Rp 5 million - 10 million 11% Rp 10 million - 20 million 8% Rp 20 million - 30 million 6% Rp 30 million - 40 million 5% Rp 40 million - 50 million 3% Rp 50 million - 60 million 4% Rp 60 million - 70 million 3% Rp 70 million - 80 million 2% Rp 80 million - 90 million 2% Rp 90 million - 100 million 2% Rp 100 million - 500 million 6% More than Rp 500 million 1% Prefer not to say 21% Subtotal selection 100% Gender Panel Count Nat Rep Female 34% 50% Male 66% 50% Indonesia Panel Reach: 117,000 Language: Bahasa Indonesian Smartphone Penetration: 21%* According to data from April 2016 +/-25% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
  • 10.
    Data pulled July2016 | 56 Age Panel Count Nat Rep 18-24 10% 8% 25-34 20% 14% 35-44 23% 17% 45-54 24% 15% 55-99 23% 46% Gender Panel Count Nat Rep Female 36% 52% Male 64% 48% Geographic Region Panel Count Chubu 14% Chugoku 5% Hokkaido 5% Kanto 41% Kinki 19% Kyushu 7% Okinawa 1% Shikoku 2% Tohoku 5% Okinawa 1% Household Income Panel Count 1,500,000 JPY or less 7% 1,500,001 JPY to 3,000,000 JPY 12% 3,000,001 JPY to 4,000,000 JPY 13% 4,000,001 JPY to 5,000,000 JPY 12% 5,000,001 JPY to 6,000,000 JPY 10% 6,000,001 JPY to 8,000,000 JPY 13% 8,000,001 JPY to 10,000,000 JPY 9% 10,000,001 JPY to 13,000,000 JPY 5% 13,000,001 JPY to 15,000,000 JPY 2% 15,000,001 JPY to 20,000,000 JPY 1% 20,000,001 JPY to 25,000,000 JPY 0% 25,000,000 JPY or more 1% Prefer not to say 15% Subtotal selection 100% Japan Panel Reach: 210,000 Language: Japanese Smartphone Penetration: 84%* According to data from April 2016 +/-16% of respondents complete Toluna surveys via a mobile device * CIAJ 2016 Report
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    Data pulled July2016 | 57 Age Panel Count Nat Rep 18-24 34% 12% 25-34 31% 18% 35-44 21% 20% 45-54 10% 21% 55-99 4% 29% Gender Panel Count Nat Rep Female 48% 51% Male 52% 49% Geographic Region Panel Count Seoul 31% Incheon 6% Metropolitan City Busan 7% Metropolitan City Gwangju 3% Metropolitan City Daegu 4% Metropolitan City Daejeon 3% Metropolitan City Ulsan 2% Gangwon-do 2% Gyeonggi-do 22% Kyungnam 4% Gyeongbuk 4% Jeollanam 2% Chonbuk 4% Chungnam 2% Chungbuk 3% Jeju 1% Household Income Panel Count Less than 20 Million Won 20% 20 to 30 Million Won 13% 30 to 40 Million Won 14% 40 to 50 Million Won 12% 50 to 60 Million Won 9% 60 to 70 Million Won 6% 70 to 80 Million Won 4% 80 to 90 Million Won 2% 90 to 1 Billion Won 2% 1 Billion Won or more 3% Prefer not to say 15% Subtotal selection 100% Korea Panel Reach: 245,000 Language: Korean Smartphone Penetration: 88%* According to data from April 2016 +/-26% of respondents complete Toluna surveys via a mobile device * Pew Research Center 2016 Report
  • 12.
    Data pulled July2016 | 58 Age Panel Count Nat Rep 18-24 36% 18% 25-34 41% 24% 35-44 16% 21% 45-54 5% 18% 55-99 2% 20% Gender Panel Count Nat Rep Female 57% 50% Male 43% 50% Ethnicity Panel Count Malay 58% Chinese 27% Indian 7% Other Ethnicity 8% Geographic Region Panel Count Selangor 21% Wilayah 13% Persekutuan Kuala Lumpur Johor 12% Sabah 8% Kedah 8% Pahang 7% Perak 6% Kelantan 5% Terengganu 4% Melaka 4% Sarawak 4% Negeri Sembilan 3% Pinang 2% Putrajaya 1% Perlis 1% Labuan 1% Household Income Panel Count Less than 20,000 Ringgit 12% 20,000 to 34,999 Ringgit 22% 35,000 to 49,999 Ringgit 15% 50,000 to 99,999 Ringgit 16% 100,000 Ringgit or more 5% Prefer not to say 30% Subtotal selection 100% Malaysia * Pew Research Center 2016 Report Panel Reach: 68,000 Language: Malay Smartphone Penetration: 65%* According to data from April 2016 +/-25% of respondents complete Toluna surveys via a mobile device
  • 13.
    Data pulled July2016 | 59 Age Panel Count Nat Rep 18-24 28% 13% 25-34 21% 17% 35-44 16% 18% 45-54 15% 19% 55-99 20% 34% Gender Panel Count Nat Rep Female 61% 51% Male 39% 49% Geographic Region Panel Count Auckland 35% Bay of Plenty 7% Canterbury/ 11% West Coast Gisborne 1% Nelson/ 3% Marlborough Northland 4% Otago/ 6% Southland Taranaki/ 4% Wanganui Hawkes Bay 4% Waikato 10% Wellington/ 15% Manawatu Household Income Panel Count Less than $20,000 NZD 22% $20,000 to $30,000 NZD 11% $30,000 to $40,000 NZD 9% $40,000 to $50,000 NZD 8% $50,000 to $60,000 NZD 8% $60,000 to $70,000 NZD 10% $70,000 to$ 80,000 NZD 3% $80,000 to $90,000 NZD 2% $90,000 to $100,000 NZD 2% $100,000 to $150,000 NZD 4% $150,000 NZD or more 1% Prefer not to say 20% Subtotal selection 100% New Zealand According to data from April 2016 +/-28% of respondents complete Toluna surveys via a mobile device * New Zealand Multi-Screen Report, Nielsen, 2015 Panel Reach: 40,000 Language: English, Māori, New Zealand Sign Language Smartphone Penetration: 87%*
  • 14.
    Data pulled July2016 | 60 Pakistan Age Panel Count Nat Rep 18-24 40% - 25-34 36% - 35-44 15% - 45-54 5% - 55-64 2.5% - 65-99 0.5% - Gender Panel Count Nat Rep Female 9% - Male 91% - Panel Reach: 4,000 Language: Urdu, English
  • 15.
    Data pulled July2016 | 61 Age Panel Count Nat Rep 18-24 30% 22% 25-34 43% 25% 35-44 17% 21% 45-54 6% 15% 55-99 4% 17% Gender Panel Count Female 63% Male 37% Geographic Region Panel Count Metro Manila 30% Luzon 35% Visayas 19% Mindanao 16% Household Income Panel Count Low Annual Income 23% Average Annual Income 18% High Annual Income 14% Prefer not to say 45% Subtotal selection 100% Panel Reach: 77,000 Language: Filipino, English Smartphone Penetration: 22%* * Pew Research Center 2016 Report According to data from April 2016 +/-27% of respondents complete Toluna surveys via a mobile device Philippines
  • 16.
    Data pulled July2016 | 62 Age Panel Count Nat Rep 18-24 25% 17% 25-34 36% 26% 35-44 23% 19% 45-54 11% 16% 55-99 5% 22% Gender Panel Count Nat Rep Female 53% 51% Male 47% 49% Ethnicity Panel Count Chinese 68% Malay 12% Indian 10% Other Ethnicity 10% Citizenship Status Panel Count I am a citizen 84.5% of the country I am a permanent  11% resident of the country I am a non-resident  4.5% with a working visa Household Income Panel Count Less than 30,000 SGD 20% 30,000 to 39,999 SGD 13% 40,000 to 49,999 SGD 9% 50,000 to 59,999 SGD 7% 60,000 to 69,999 SGD 7% 70,000 to 79,999 SGD 6% 80,000 to 89,999 SGD 5% 90,000 to 99,999 SGD 4% 100,000 to 129,999 SGD 6% 130,000 to 159,999 SGD 3% 160,000 or more 3% Prefer not to say 17% Subtotal selection 100% Singapore According to data from April 2016 +/-27% of respondents complete Toluna surveys via a mobile device * Government of Singapore, 2016 Panel Reach: 105,000 Language: English, Mandarin, Malay, Tamil Smartphone Penetration: 90%*
  • 17.
    Data pulled July2016 | 63 Age Panel Count Nat Rep 18-24 18% 14% 25-34 33% 20% 35-44 30% 20% 45-54 15% 20% 55-99 4% 26% Gender Panel Count Female 58% Male 42% Household Income Panel Count Less than 180.000 NTD 12% 180.000 to 269.999 NTD 9% 270.000 to 314.999 NTD 8% 315.000 to 429.999 NTD 8% 430.000 to 539.999 NTD 8% 540.000 to 674.999 NTD 8% 675.000 to 809.999 NTD 9% 810.000 to 1.099.999 NTD 8% 1.100.000 to 1.349.999 NTD 9% 1.350.000 to 1.619.999 NTD 5% 1.620.000 to 1.899.999 NTD 5% 1.900.000 to 2.159.999 NTD 4% 2.160.000 to 2.429.999 NTD 2% 2.430.000 to 2.699.999 NTD 1% 2.700.000 NTD or more 4% Subtotal selection 100% Taiwan Panel Reach: 86,000* Language: Mandarin (Traditional Chinese) Smartphone Penetration: 83%* * Our reach includes our growing Toluna panel plus our trusted partner in this market * National Communications Commission, 2016
  • 18.
    Data pulled July2016 | 64 Age Panel Count Nat Rep 18-24 44% 14% 25-34 36% 20% 35-44 15% 21% 45-54 4% 20% 55-99 1% 26% Gender Panel Count Nat Rep Female 62% 51% Male 38% 49% Geographic Region Panel Count Central Thailand 48% Eastern Thailand 8% Northeastern 18% Thailand Northern Thailand 26% Household Income Panel Count Less than 200,000 Baht 29% 200,001 to 265,000 Baht 13% 265,001 to 330,000 Baht 10% 330,001 to 395,000 Baht 8% 395,001 to 460,000 Baht 5% 460,001 to 525,000 Baht 6% 525,001 to 590,000 Baht 4% 590,001 to 655,000 Baht 4% 655,001 to 900,000 Baht 6% 900,001 to 1,200,000Baht 5% Prefer not to say 5% Subtotal selection 100% Thailand Panel Reach: 105,000 Language: Thai Smartphone Penetration: 40%* According to data from April 2016 +/-32% of respondents complete Toluna surveys via a mobile device * IDC Thailand, 2016 1,200,000 Baht & above 10%
  • 19.
    Data pulled July2016 | 65 Age Panel Count Nat Rep 18-24 59% 19% 25-34 35% 21% 35-44 5% 21% 45-54 1% 21% 55-99 0% 18% Gender Panel Count Female 60% Male 40% Geographic Region Panel Count Hanoi 22% Ho Chi Minh 48% Dong Nai 2% Tp Da Nang 2% Hai Phong 2% Others Vietnam 24% Household Income Panel Count Low Annual Income 19% Average Annual Income 70% High Annual Income 4% Prefer not to say 7% Subtotal selection 100% Panel Reach: 85,000 Language: Vietnamese Smartphone Penetration: 36%* * Vietnam Mobile Market Study, Appota, 2016 Vietnam