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PanelBook 2016

Contents

Toluna Panel in 49 Countries 5

Toluna Partners in 85 Countries 6

Panel Communities - The Americas 7

Argentina 8

Brazil 9

Canada 10

Chile 11

Colombia 12

Ecuador 13

Mexico 14

Peru 15

United States 16

Venezuela 17

Panel Communities - EMEA 18

Austria 19

Belgium 20

Czech Republic 21

Denmark 22

Egypt 23

Finland 24

France 25

Germany 26

Greece 27

Hungary 28

Ireland 29

Italy 30

Netherlands 31

Norway 32

Poland 33

Portugal 34

Romania 35

Russian Federation 36

South Africa 37

Spain 38

Sweden 39

Switzerland 40

Turkey 41

Ukraine 42

United Kingdom 43

Panel Communities - APAC 44

Australia 45

China 46

Hong Kong 47

India 48

Indonesia 49

Japan 50

Korea 51

Malaysia 52

New Zealand 53

Philippines 54

Singapore 55

Taiwan 56

Thailand 57

Vietnam 58

Example profile data

gathered by Toluna 59

Basic 60

Automotive 60

Beauty 61

B2B 61

Finance 61

Health 62

Home & Family 62

Internet 62

Medical Professionals 63

Media 63

Mobile Phone 63

Shopping 64

Sports 64

Travel 65

Video Games 65

Get in touch 66

Data pulled January 2016 | 5

9+ Million Total Members

South America:South America:South America:South America:South America:South America:South America:South America:South America:South America:South America:South America:500,000 Members500,000 Members500,000 Members500,000 Members500,000 Members500,000 Members500,000 Members500,000 Members500,000 Members500,000 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:500,000 Members

EMEA:3+ Million Members

North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:2.5+ Million M2.5+ Millio2.5+ Millio2.5+ Millio2.5+ Millio embers2.5+ Millio emberson Members2.5+ Mi on Memberslion Members2.5+ Millio embers2.5+ Millio embers2.5+ Milli embers2.5+ Milli embers2.5+ Mil n Members2.5+ Mil n Membersllion Memberslion Membersllion Membersllion Membersllion Members2.5+ Million M2.5+ Million M2.5+ Millio embers2.5+ Millio embers2.5+ Million M2.5+ Million M2.5+ Million M

APAC:APAC:APAC:APAC:APAC:APAC:2.7 Million Mon Memberson Membersllion Membersllion Members2.7 Millio2.7 Millio2.7 Millio embers2.7 Million M

North America:2.8+ Million Members

APAC:

Toluna Panel in 49 CountriesThe Americas

Argentina 23,500

Brazil 268,000

Canada 392,000

Chile 45,000

Colombia* 60,000

Ecuador* 15,500

Mexico 99,000

Peru 31,000

United States 2,321,000

Venezuela* 30,000

EMEA

Austria 23,000

Belgium 69,000

Czech Republic 21,000

Denmark 26,000

Egypt* 1,700

Finland 24,000

France 371,000

Germany 352,000

Greece 29,500

Hungary* 19,000

Ireland 21,000

Italy 226,000

Netherlands 95,500

Norway 20,000

Poland 41,000

Portugal 25,000

Romania* 27,000

Russian Federation 975,000

South Africa 26,000

Spain 227,000

Sweden 35,000

Switzerland 15,000

Turkey 70,500

Ukraine* 12,000

United Kingdom 479,000

APAC

Australia 113,000

China 1,455,000

Hong Kong 100,000India 150,000

Indonesia 117,000

Japan 210,000

Korea 245,000

Malaysia 85,000

New Zealand 30,000

Philippines* 77,000

Singapore 105,000

Taiwan 86,000

Thailand 85,000

Vietnam* 85,000

*Toluna.com community launch pending | 40 global Toluna.com communities currently launched

2.9 Million Members

Toluna Partners in 85 CountriesThe Americas

Anguilla

Antiguaand Barbuda

Barbados

Bolivia

BritishVirgin Islands

Cayman Islands

Costa Rica

Cuba

Dominican Republic

El Salvador

Grenada

Guatemala

Guyana

Haiti

Honduras

Jamaica

Montserrat

Nicaragua

Panama

Paraguay

Puerto Rico

St. Kitts and Nevis

St. Lucia

St. VincentGrenadines

Suriname

Trinidad and Tobago

Turks and Caicos

Uruguay

EMEA

Algeria

Bahrain

Belarus

Benin

Bulgaria

Burkina Faso

Burundi

Cameroon

Central AfricanRepublic

Congo

Croatia

Cyprus

Estonia

Ghana

Guinea

Guinea Bissau

Iraq

Ivory Coast

Jordan

Kazakhstan

Kenya

Kuwait

Latvia

Lebanon

Liberia

Lithuania

Madagascar

Mali

Morocco

Mozambique

Niger

Nigeria

Oman

Palestine

Qatar

Rwanda

Senegal

Slovakia

Slovenia

Somalia

Sudan

Swaziland

Syria

Tanzania

Uganda

Yemen

Zambia

Zimbabwe

APAC

Bangladesh

Cambodia

Fiji

Laos

Nepal

Pakistan

Sri Lanka


9+ Million Total Members

South America:South America:South America:South America:South America:South America:South America:South America:South America:South America:South America:South America:500,000 Members500,000 Members500,000 Members500,000 Members500,000 Members500,000 Members500,000 Members500,000 Members500,000 Members500,000 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:500,000 Members

EMEA:3+ Million Members

North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:2.5+ Million M2.5+ Millio2.5+ Millio2.5+ Millio2.5+ Millio embers2.5+ Millio emberson Members2.5+ Mi on Memberslion Members2.5+ Millio embers2.5+ Millio embers2.5+ Milli embers2.5+ Milli embers2.5+ Mil n Members2.5+ Mil n Membersllion Memberslion Membersllion Membersllion Membersllion Members2.5+ Million M2.5+ Million M2.5+ Millio embers2.5+ Millio embers2.5+ Million M2.5+ Million M2.5+ Million M

APAC:APAC:APAC:APAC:APAC:APAC:2.7 Million Mon Memberson Membersllion Membersllion Members2.7 Millio2.7 Millio2.7 Millio embers2.7 Million M

North America:

APAC:

2.8+ Million Members

2.9 Million Members

Panel CommunitiesThe Americas


Argentina Panel Size: 23,500Language: SpanishSmartphone Penetration: 31%*

Age

Panel Count Nat Rep

18-24 29% 16%

25-34 37% 22%

35-44 19% 18%

45-54 9% 15%

55-99 6% 29%

Gender

Panel Count Nat Rep

Female 57% 52%

Male 43% 48%

Household Income

Panel Count

Less than 25.000 ARS 28%

25.000 to 50.000 ARS 21%

50.000 to 100.000 ARS 18%

100.000 to 200.000 ARS 10%

200.000 to 300.000 ARS 3%

300.000 to 400.000 ARS 4%

400.000 to 500.000 ARS 1%

500.000 to 600.000 ARS 1%

600.000 to 750.000 ARS 0%

750.000 to 1.000.000 ARS 0%

1.000.000 ARS or more 0%

Prefer not to say 14%

Subtotal selection 100%

According to data from December 2015, +/-8% of respondents complete Toluna

surveys via a mobile device*Data pulled from 2015 rankings


Age

Panel Count Nat Rep

18-24 24% 18%

25-34 30% 27%

35-44 21% 22%

45-54 14% 17%

55-99 11% 16%

Gender

Panel Count Nat Rep

Female 58% 51%

Male 42% 49%

Household Income

Panel Count

Less than 4600 BRL 33%

4600 to 9299 BRL 11%

9300 to 13 999 BRL 5%

14 000 to 18 999 BRL 4%

19 000 to 22 999 BRL 3%

23 000 to 27 999 BRL 3%

28 000 to 32 999 BRL 2%

33 000 to 36 999 BRL 2%

37 000 to 41 999 BRL 3%

42 000 to 46 999 BRL 2%

47 000 to 69 999 BRL 4%

70 000 to 93 999 BRL 3%

94 000 to 116 999 BRL 2%

117 000 to 175 999 BRL 2%

176 000 to 234 999 BRL 1%

235 000 to 349 999 BRL 1%

350 000 to 469 999 BRL 0%

470 000 BRL or more 1%



Brazil

Geographic Region

Panel Count

Acre 0%

Alagoas 1%

Amapa 0%

Amazonas 3%

Bahia 4%

Ceara 3%

Espirito Santo 2%

Federal District 2%

Goias 2%

Maranhao 1%

Mato Grosso 1%

Mato Grosso do Sul 1%

Minas Gerais 8%

Para 1%

Paraiba 1%

Parana 5%

Pernambuco 3%

Piaui 1%

Rio Grande do Norte 1%

Rio Grande do Sul 5%

Rio de Janeiro 13%

Rondonia 0%

Roraima 0%

Santa Catarina 3%

Sao Paulo 38%

Sergipe 1%

Tocantins 0%

Panel Size: 268,000Language: PortugueseSmartphone Penetration: 26%*




Age

Panel Count Nat Rep

18-24 33% 12%

25-34 25% 17%

35-44 17% 22%

45-54 13% 20%

55-99 12% 29%

Gender

Panel Count Nat Rep

Female 67% 51%

Male 33% 49%

Household Income

Panel Count

Less than $15,000 12%

$15,000 to $24,999 14%

$25,000 to $34,999 12%

$35,000 to $44,999 10%

$45,000 to $54,999 10%

$55,000 to $64,999 6%

$65,000 to $74,999 6%

$75,000 to $84,999 4%

$85,000 to $94,999 3%

$95,000 to $124,999 6%

$125,000 to $199,999 3%

$200,000 or more 1%



Geographic Region

Panel Count

Atlantic Canada 7%

British Columbia 10%

Ontario 34%

Prairie Provinces 15%

Quebec 34%

Canada Panel Size: 392,000Language: English, FrenchSmartphone Penetration: 56%*




Age

Panel Count Nat Rep

18-24 17% 17%

25-34 33% 19%

35-44 25% 19%

45-54 13% 19%

55-99 12% 26%

Gender

Panel Count Nat Rep

Female 58% 52%

Male 42% 48%

Household Income

Panel Count

Less than 1 million CLP 27%

1.000.001 to 3.000.000 CLP 17%

3.000.001 to 5.000.000 CLP 9%

5.000.001 to 7.000.000 CLP 6%

7.000.001 to 9.000.000 CLP 5%

9.000.001 to 15.000.000 CLP 9%

15.000.001 to 25.000.000 CLP 7%

25.000.001 to 35.000.000 CLP 3%

35.000.001 to 45.000.000 CLP 2%

45.000.001 to 50.000.000 CLP 1%

50.000.001 CLP or more 1%



Chile Panel Size: 45,000Language: Spanish


surveys via a mobile device


Age

Panel Count Nat Rep

18-24 21% 19%

25-34 36% 23%

35-44 25% 20%

45-54 13% 18%

55-99 5% 21%

Gender

Panel Count

Female 54%

Male 46%

Household Income

Panel Count

Low Annual Income 15%

Average Annual Income 52%

High Annual Income 7%



Colombia Panel Size: 60,500Language: Spanish


Age

Panel Count Nat Rep

18-24 26% 22%

25-34 40% 19%

35-44 21% 19%

45-54 9% 19%

55-99 4% 22%

Gender

Panel Count

Female 51%

Male 49%

Ecuador

Household Income

Panel Count






Panel Size: 15,500 Language: Spanish


Age

Panel Count Nat Rep

18-24 38% 19%

25-34 35% 24%

35-44 15% 21%

45-54 8% 16%

55-99 4% 21%

Gender

Panel Count Nat Rep

Female 48% 52%

Male 52% 48%

Household Income

Panel Count

Less than 20.000 Pesos 21%

20.000 to 39.999 Pesos 9%

40.000 to 59.999 Pesos 6%

60.000 to 79.999 Pesos 6%

80.000 to 99.999 Pesos 8%

100.000 to 119.999 Pesos 5%

120.000 to 139.999 Pesos 4%

140.000 to 159.999 Pesos 3%

160.000 to 179.999 Pesos 2%

180.000 to 199.999 Pesos 3%

200.000 to 299.999 Pesos 4%

300.000 to 399.999 Pesos 4%

400.000 to 499.999 Pesos 2%

500.000 to 749.999 Pesos 2%

750.000 to 999.999 Pesos 1%

1.000.000 to 1.499.999 Pesos 1%

1.500.000 to 2.000.000 Pesos 1%

2.000.000 Pesos or more 1%



Mexico

Geographic Region

Panel Count

Center 54%

East 14%

North 12%

South 11%

West 9%

Panel Size: 99,000Language: SpanishSmartphone Penetration: 37%*




Age

Panel Count Nat Rep

18-24 42% 20%

25-34 31% 24%

35-44 15% 20%

45-54 8% 16%

55-99 4% 21%

Gender

Panel Count Nat Rep

Female 42% 51%

Male 58% 49%

Household Income

Panel Count

Less than 20.000 PEN 33%

20.000 to 45.000 PEN 19%

45.000 to 85.000 PEN 8%

85.000 to 170.000 PEN 6%

170.000 to 260.000 PEN 3%

260.000 to 350.000 PEN 3%

350.000 to 440.000 PEN 2%

440.000 to 520.000 PEN 1%

520.000 to 650.000 PEN 1%

650.000 to 870.000 PEN 1%

870.000 PEN or more 1%



Peru Panel Size: 31,000Language: Spanish




Age

Panel Count Nat Rep

18-24 31% 13%

25-34 27% 19%

35-44 18% 22%

45-54 12% 18%

55-99 12% 28%

Gender

Panel Count Nat Rep

Female 71% 51%

Male 29% 49%

Household Income

Panel Count

Less than $15,000 11%

$15,000 to $24,999 36%

$25,000 to $34,999 7%

$35,000 to $44,999 12%

$45,000 to $54,999 5%

$55,000 to $64,999 6%

$65,000 to $74,999 2%

$75,000 to $84,999 5%

$85,000 to $94,999 2%

$95,000 to $124,999 5%

$125,000 to $199,999 2%

$200,000 or more 1%



United States

Ethnicity

Panel Count

White 69%

Black or 14%African-American

Native American or 2%Alaska Native

Asian 3%

Native Hawaiian or 1%Other Pacifi c Islander

Other Ethnicity 6%

Don’t know/prefer 5%not to answer

Geographic Region

Panel Count

MidWest 20%

NorthEast 15%

Other 1%

South 40%

West 24%

Panel Size: 2,321,000 Language: English

Smartphone Penetration: 56%*




Age

Panel Count Nat Rep

18-24 25% 22%

25-34 37% 19%

35-44 22% 19%

45-54 11% 19%

55-99 5% 19%

Gender

Panel Count

Female 48%

Male 52%

Venezuela Panel Size: 30,000Language: Spanish

Household Income

Panel Count






Panel CommunitiesEMEA


Age

Panel Count Nat Rep

18-24 35% 10%

25-34 25% 15%

35-44 15% 16%

45-54 11% 20%

55-99 14% 38%

Gender

Panel Count Nat Rep

Female 57% 52%

Male 43% 48%

Household Income

Panel Count

Less than 15.000 EUR 25%

15.000 to 19.999 EUR 14%

20.000 to 29.999 EUR 17%

30.000 to 39.999 EUR 10%

40.000 to 49.999 EUR 6%

50.000 to 59.999 EUR 3%

60.000 to 69.999 EUR 2%

70.000 to 79.999 EUR 3%

80.000 to 89.999 EUR 1%

90.000 to 99.999 EUR 1%

100.000 to 149.999 EUR 1%

150.000 to 199.999 EUR 0%

200.000 to 249.999 EUR 0%

250.000 EUR or more 0%



Austria

Geographic Region

Panel Count

Burgenland 3%

Carinthia 6%

Lower Austria 19%

Salzburg 6%

Styria 14%

Tyrol 7%

Upper Austria 15%

Vienna 26%

Vorarlberg 4%

Panel Size: 23,000Language: GermanSmartphone Penetration: 48%*




Age

Panel Count Nat Rep

18-24 30% 14%

25-34 26% 21%

35-44 18% 25%

45-54 14% 21%

55-99 12% 20%

Gender

Panel Count Nat Rep

Female 59% 52%

Male 41% 48%

Household Income

Panel Count


15.000 to 19.999 EUR 12%

20.000 to 29.999 EUR 16%

30.000 to 39.999 EUR 12%

40.000 to 49.999 EUR 6%

50.000 to 59.999 EUR 3%

60.000 to 69.999 EUR 2%

70.000 to 79.999 EUR 2%

80.000 to 89.999 EUR 1%

90.000 to 99.999 EUR 1%

100.000 to 149.999 EUR 1%

150.000 to 199.999 EUR 0%

200.000 to 249.999 EUR 0%




Belgium

Geographic Region

Panel Count

Center 10%

North 56%

South 34%

Panel Size: 69,000Language: Dutch, French, GermanSmartphone Penetration: 34%*




Age

Panel Count Nat Rep

18-24 18% 10%

25-34 24% 17%

35-44 22% 20%

45-54 19% 16%

55-99 17% 38%

Gender

Panel Count Nat Rep

Female 68% 51%

Male 32% 49%

Household Income

Panel Count

Less than 96 000 Czech Crowns 17%

96 000 to 191 999 Czech Crowns 32%

192 000 to 299 999 Czech Crowns 24%

300 000 to 395 999 Czech Crowns 14%

396 000 to 503 999 Czech Crowns 8%

504 000 Czech Crowns or more 5%


Czech Republic Panel Size: 21,000Language: CzechSmartphone Penetration: 42%*




Age

Panel Count Nat Rep

18-24 40% 14%

25-34 19% 17%

35-44 15% 18%

45-54 13% 17%

55-99 13% 34%

Gender

Panel Count Nat Rep

Female 50% 51%

Male 50% 49%

Household Income

Panel Count

Less than 110,000 DKK 16%

110,000 to 149,000 DKK 8%

150,000 to 219,000 DKK 10%

220,000 to 299,000 DKK 9%

300,000 to 374,000 DKK 8%

375,000 to 449,000 DKK 6%

450,000 to 519,000 DKK 5%

520,000 to 594,000 DKK 3%

595,000 to 669,000 DKK 3%

670,000 to 744,000 DKK 3%

745,000 to 999 999 DKK 3%

1 to 1,5 million DKK 1%

1,6 to 1,8 million DKK 0%

1,9 million DKK or more 1%



Denmark

Geographic Region

Panel Count

Copenhagen Capital 30%

Region Central Jutland 25%

Region North Jutland 11%

Region South Denmark 19%

Region Zealand 15%

Panel Size: 26,000Language: DanishSmartphone Penetration: 59%*




Age

Panel Count Nat Rep

18-24 23% 22%

25-34 41% 20%

35-44 21% 20%

45-54 10% 20%

55-99 5% 18%

Gender

Panel Count

Female 15%

Male 85%

Egypt Panel Size: 1,700Language: Arabic

Household Income

Panel Count







Age

Panel Count Nat Rep

18-24 29% 11%

25-34 25% 15%

35-44 16% 15%

45-54 14% 17%

55-99 16% 42%

Gender

Panel Count Nat Rep

Female 52% 51%

Male 48% 49%

Household Income

Panel Count


15.000 to 19.999 EUR 8%

20.000 to 29.999 EUR 12%

30.000 to 39.999 EUR 10%

40.000 to 49.999 EUR 7%

50.000 to 59.999 EUR 5%

60.000 to 69.999 EUR 4%

70.000 to 79.999 EUR 3%

80.000 to 89.999 EUR 2%

90.000 to 99.999 EUR 2%

100.000 to 149.999 EUR 2%

150.000 to 199.999 EUR 0%

200.000 to 249.999 EUR 1%




Finland

Geographic Region

Panel Count

Aland Islands 0%

Central Finland 5%

Central Ostrobothnia 1%

Eastern Uusimaa 9%

Kainuu 1%

Kymenlaakso 3%

Lapland 3%

North Karelia 2%

Northern Ostrobothnia 7%

Northern Savonia 5%

Ostrobothnia 2%

Paijanne Tavastia 7%

Pirkanmaa 9%

Satakunta 3%

South Karelia 2%

Southern Ostrobothnia 3%

Southern Savonia 2%

Southwest Finland 10%

Tavastia Proper 1%

Uusimaa 25%

Panel Size: 24,000Language: FinnishSmartphone Penetration: 46%*




Age

Panel Count Nat Rep

18-24 26% 12%

25-34 27% 17%

35-44 20% 19%

45-54 14% 18%

55-99 13% 34%

Gender

Panel Count Nat Rep

Female 59% 52%

Male 41% 48%

Household Income

Panel Count


15.000 to 19.999 EUR 14%

20.000 to 29.999 EUR 19%

30.000 to 39.999 EUR 12%

40.000 to 49.999 EUR 6%

50.000 to 59.999 EUR 3%

60.000 to 69.999 EUR 2%

70.000 to 79.999 EUR 1%

80.000 to 89.999 EUR 1%

90.000 to 99.999 EUR 0%

100.000 to 149.999 EUR 1%

150.000 to 199.999 EUR 0%

200.000 to 249.999 EUR 0%




France

Geographic Region

Panel Count

BP EST 9%

BP OUEST 10%

CENTRE EST 11%

EST 8%

ILE DE FRANCE 17%

MEDITERRANEE 12%

NORD 8%

OTHER 0%

OUEST 14%

SUD OUEST 11%

Panel Size: 371,000Language: FrenchSmartphone Penetration: 42%*




Age

Panel Count Nat Rep

18-24 32% 9%

25-34 31% 15%

35-44 16% 15%

45-54 13% 20%

55-99 8% 41%

Gender

Panel Count Nat Rep

Female 59% 51%

Male 41% 49%

Household Income

Panel Count


15.000 to 19.999 EUR 10%

20.000 to 29.999 EUR 14%

30.000 to 39.999 EUR 12%

40.000 to 49.999 EUR 7%

50.000 to 59.999 EUR 5%

60.000 to 69.999 EUR 3%

70.000 to 79.999 EUR 2%

80.000 to 89.999 EUR 1%

90.000 to 99.999 EUR 1%

100.000 to 149.999 EUR 1%

150.000 to 199.999 EUR 0%

200.000 to 249.999 EUR 0%




Germany

Geographic Region

Panel Count

East 27%

Middle 13%

North 16%

South 21%

West 23%



Panel Size: 352,000 Language: German Smartphone Penetration: 40%*


Age

Panel Count Nat Rep

18-24 17% 8%

25-34 33% 16%

35-44 31% 19%

45-54 15% 18%

55-99 4% 39%

Gender

Panel Count Nat Rep

Female 69% 52%

Male 31% 48%

Household Income

Panel Count


15.000 to 19.999 EUR 15%

20.000 to 29.999 EUR 11%

30.000 to 39.999 EUR 4%

40.000 to 49.999 EUR 2%

50.000 to 59.999 EUR 1%

60.000 to 69.999 EUR 0%

70.000 to 79.999 EUR 0%

80.000 to 89.999 EUR 0%

90.000 to 99.999 EUR 0%

100.000 to 149.999 EUR 0%

150.000 to 199.999 EUR 0%

200.000 to 249.999 EUR 0%




Greece Panel Size: 29,500Language: GreekSmartphone Penetration: 33%*




Age

Panel Count Nat Rep

18-24 9% 11%

25-34 18% 17%

35-44 24% 17%

45-54 21% 17%

55-99 28% 39%

Gender

Panel Count

Female 43%

Male 57%

Hungary Panel Size: 19,000Language: HungarianSmartphone Penetration: 34%*

Household Income

Panel Count






*Data pulled from 2015 rankings


Age

Panel Count Nat Rep

18-24 26% 11%

25-34 27% 21%

35-44 23% 31%

45-54 15% 17%

55-99 9% 20%

Gender

Panel Count Nat Rep

Female 66% 50%

Male 34% 50%

Household Income

Panel Count


15.000 to 19.999 EUR 13%

20.000 to 29.999 EUR 16%

30.000 to 39.999 EUR 12%

40.000 to 49.999 EUR 9%

50.000 to 59.999 EUR 5%

60.000 to 69.999 EUR 6%

70.000 to 79.999 EUR 2%

80.000 to 89.999 EUR 1%

90.000 to 99.999 EUR 1%

100.000 to 149.999 EUR 1%

150.000 to 199.999 EUR 0%

200.000 to 249.999 EUR 0%




Ireland Panel Size: 21,000Language: Irish Gaelic, EnglishSmartphone Penetration: 57%*




Age

Panel Count Nat Rep

18-24 17% 9%

25-34 30% 14%

35-44 26% 19%

45-54 17% 19%

55-99 10% 39%

Gender

Panel Count Nat Rep

Female 60% 52%

Male 40% 48%

Household Income

Panel Count


15.000 to 19.999 EUR 13%

20.000 to 29.999 EUR 20%

30.000 to 39.999 EUR 10%

40.000 to 49.999 EUR 5%

50.000 to 59.999 EUR 2%

60.000 to 69.999 EUR 2%

70.000 to 79.999 EUR 1%

80.000 to 89.999 EUR 1%

90.000 to 99.999 EUR 1%

100.000 to 149.999 EUR 1%

150.000 to 199.999 EUR 0%

200.000 to 249.999 EUR 0%




Italy

Geographic Region

Panel Count

Centre 19%

North East 15%

North West 28%

South 38%



Panel Size: 226,000 Language: Italian Smartphone Penetration: 41%*


Age

Panel Count Nat Rep

18-24 40% 11%

25-34 19% 18%

35-44 14% 21%

45-54 13% 19%

55-99 14% 31%

Gender

Panel Count Nat Rep

Female 61% 51%

Male 39% 49%

Household Income

Panel Count


15.000 to 19.999 EUR 8%

20.000 to 29.999 EUR 14%

30.000 to 39.999 EUR 13%

40.000 to 49.999 EUR 7%

50.000 to 59.999 EUR 3%

60.000 to 69.999 EUR 3%

70.000 to 79.999 EUR 2%

80.000 to 89.999 EUR 1%

90.000 to 99.999 EUR 1%

100.000 to 149.999 EUR 1%

150.000 to 199.999 EUR 0%

200.000 to 249.999 EUR 0%




Netherlands

Geographic Region

Panel Count

Centre-Regio Randstad 9%

East 20%

North 13%

South 20%

West-Regio Randstad 38%

Panel Size: 95,500Language: DutchSmartphone Penetration: 52%*




Age

Panel Count Nat Rep

18-24 40% 12%

25-34 24% 17%

35-44 16% 18%

45-54 11% 18%

55-99 9% 36%

Gender

Panel Count Nat Rep

Female 52% 50%

Male 48% 50%

Household Income

Panel Count

Less than 120.000 NOK 13%

120.000 to 159.999 NOK 6%

160.000 to 249.999 NOK 8%

250.000 to 329.999 NOK 7%

330.000 to 399.999 NOK 8%

400.000 to 489.999 NOK 7%

490.000 to 569.999 NOK 5%

570.000 to 649.999 NOK 5%

650.000 to 739.999 NOK 4%

740.000 to 819.999 NOK 4%

820.000 to 1.229.999 NOK 6%

1.230.000 to 1.639.999 NOK 1%

1.640.000 to 2.049.999 NOK 1%

2.050.000 NOK or more 2%



Norway

Geographic Region

Panel Count

Akerhus County 11%

Aust-Agder County 2%

Buskerud County 6%

Finnmark County 1%

Hedmark County 4%

Hordaland County 10%

Møre og Romsdal County 4%

Nord-Trøndelag County 2%

Nordland County 4%

Oppland County 3%

Oslo County 15%

Rogaland County 8%

Sogn og Fjordane County 2%

Svalbard County 0%

Sør-Trøndelag County 6%

Telemark County 4%

Troms County 3%

Vest-Agder County 3%

Vestfold County 5%

Østfold County 7%

Panel Size: 20,000Language: NorwegianSmartphone Penetration: 68%*




Age

Panel Count Nat Rep

18-24 27% 11%

25-34 38% 20%

35-44 18% 18%

45-54 9% 15%

55-99 8% 36%

Gender

Panel Count Nat Rep

Female 64% 52%

Male 36% 48%

Household Income

Panel Count

Less than 3 000 PLN 6%

3 001 to 6 000 PLN 7%

6 001 to 12 000 PLN 3%

12 001 to 18 000 PLN 6%

18 001 to 24 000 PLN 11%

24 001 to 30 000 PLN 7%

30 001 to 36 000 PLN 9%

36 001 to 48 000 PLN 9%

48 001 to 60 000 PLN 9%

60 001 to 72 000 PLN 5%

72 001 to 84 000 PLN 3%

84 001 to 96 000 PLN 2%

96 001 to 108 000 PLN 1%

108 000 PLN or more 2%



Poland

Geographic Region

Panel Count

Central 21%

East 15%

North 16%

North West 16%

South 21%

South West 11%

Panel Size: 41,000Language: PolishSmartphone Penetration: 35%*




Age

Panel Count Nat Rep

18-24 28% 10%

25-34 31% 16%

35-44 25% 19%

45-54 11% 17%

55-99 5% 38%

Gender

Panel Count Nat Rep

Female 63% 52%

Male 37% 48%

Household Income

Panel Count


15.000 to 19.999 EUR 14%

20.000 to 29.999 EUR 10%

30.000 to 39.999 EUR 5%

40.000 to 49.999 EUR 2%

50.000 to 59.999 EUR 2%

60.000 to 69.999 EUR 1%

70.000 to 79.999 EUR 1%

80.000 to 89.999 EUR 1%

90.000 to 99.999 EUR 0%

100.000 to 149.999 EUR 1%



Portugal

Geographic Region

Panel Count

Aveiro 7%

Beja 1%

Braga 4%

Braganca 1%

Castelo Branco 2%

Coimbra 4%

Evora 1%

Faro 4%

Guarda 1%

Ilha de Madeira 3%

Ilhas dos Amores 2%

Leiria 5%

Lisboa 27%

Portalegre 1%

Porto 19%

Santarem 4%

Setubal 10%

Viano do Castelo 1%

Vila Real 1%

Viseu 2%

Panel Size: 25,000Language: PortugueseSmartphone Penetration: 32%*




Romania Panel Size: 27,000Language: RomanianSmartphone Penetration: 28%*

Age

Panel Count Nat Rep

18-24 18% 11%

25-34 41% 18%

35-44 23% 18%

45-54 13% 18%

55-99 5% 34%

Gender

Panel Count

Female 58%

Male 42%

Household Income

Panel Count

Less than 6,000 Lei 30%

6,000 - 11,999 Lei 19%

12,000 - 17,999 Lei 15%

18,000 - 29,999 Lei 18%

30,000 - 47,999 Lei 12%

48,000 Lei or more 6%




Russian Federation Panel Size: 975,000Language: RussianSmartphone Penetration: 36%*

Age

Panel Count Nat Rep

18-24 29% 10%

25-34 43% 21%

35-44 17% 18%

45-54 7% 18%

55-99 4% 33%

Gender

Panel Count Nat Rep

Female 58% 55%

Male 42% 45%

Household Income

Panel Count

Less than 100 000 RUB 46%

100 001 RUB to 200 000 RUB 12%

200 001 RUB to 300 000 RUB 7%

300 001 RUB to 400 000 RUB 7%

400 001 RUB to 500 000 RUB 6%

500 001 RUB to 1 000 000 RUB 10%

1 000 000 RUB or more 4%






Age

Panel Count Nat Rep

18-24 20% 22%

25-34 35% 28%

35-44 24% 17%

45-54 13% 14%

55-99 8% 20%

Gender

Panel Count Nat Rep

Female 62% 51%

Male 38% 49%

Household Income

Panel Count

Less than 30,000 South African Rands 21%

30,001 to 40,000 South African Rands 4%













500,000 South African Rands or more 5%



South Africa Panel Size: 26,000Languages: Afrikaans, English, Ndebele, Northern Sotho, Sotho, Swazi, Tswana, Tsonga, Venda, Xhosa and Zulu Smartphone Penetration: 40%*




Spain Panel Size: 227,000Language: SpanishSmartphone Penetration: 55%*

Age

Panel Count Nat Rep

18-24 27% 8%

25-34 30% 16%

35-44 23% 21%

45-54 14% 19%

55-99 6% 36%

Gender

Panel Count Nat Rep

Female 56% 51%

Male 44% 49%

Household Income

Panel Count


15.000 to 19.999 EUR 14%

20.000 to 29.999 EUR 17%

30.000 to 39.999 EUR 9%

40.000 to 49.999 EUR 4%

50.000 to 59.999 EUR 3%

60.000 to 69.999 EUR 2%

70.000 to 79.999 EUR 1%

80.000 to 89.999 EUR 1%

90.000 to 99.999 EUR 0%

100.000 to 149.999 EUR 0%

150.000 to 199.999 EUR 0%

200.000 to 249.999 EUR 0%




Geographic Region

EST 32%

NORTE 15%

OUEST 8%

SUD 45%




Sweden Panel Size: 35,000Language: SwedishSmartphone Penetration: 63%*

Age

Panel Count Nat Rep

18-24 31% 12%

25-34 26% 16%

35-44 16% 16%

45-54 13% 17%

55-99 14% 39%

Gender

Panel Count Nat Rep

Female 52% 50%

Male 48% 50%

Household Income

Panel Count

Less than 65 000 SEK 11%

65 000 to 129 999 SEK 8%

130 000 to 194 999 SEK 9%

195 000 to 259 999 SEK 14%

260 000 to 324 999 SEK 10%

325 000 to 389 999 SEK 7%

390 000 to 519 999 SEK 8%

520 000 to 649 999 SEK 5%

650 000 to 779 999 SEK 3%

780 000 to 1 039 999 SEK 2%

1 040 000 to 1 299 999 SEK 2%

1 300 000 or more 1%



Geographic Region

Panel Count

East Middle 19%

Middle Norrland 4%

North Middle 9%

Smaland and Islands 6%

South 15%

Stockholm 23%

Upper Norrland 5%

West Sweden 19%




Switzerland Panel Size: 15,000Language: German, French, Italian, RomanshSmartphone Penetration: 54%*

Age

Panel Count Nat Rep

18-24 27% 10%

25-34 26% 17%

35-44 20% 18%

45-54 16% 19%

55-99 11% 36%

Gender

Panel Count Nat Rep

Female 65% 51%

Male 35% 49%

Household Income

Panel Count

Less than 23,000 CHF 15%

23,000 to 29,999 CHF 6%

30,000 to 44,999 CHF 9%

45,000 to 60,999 CHF 14%

61,000 to 75,999 CHF 10%

76,000 to 90,999 CHF 8%

91,000 to 105,999 CHF 7%

106,000 to 120,999 CHF 4%

121,000 to 135,999 CHF 2%

136,000 to 150,999 CHF 2%

151,000 to 225,999 CHF 2%

226,000 to 299,999 CHF 0%

300,000 to 379,999 CHF 0%

380,000 CHF or more 1%



Geographic Region

Central 7%

East 11%

Lemanique Region 32%

Midlands 24%

NorthWest 11%

Principality of 0%Liechtenstein

Ticino 1%

Zurich 14%




Turkey Panel Size: 70,500Language: TurkishSmartphone Penetration: 30%*

Age

Panel Count Nat Rep

18-24 41% 17%

25-34 36% 24%

35-44 16% 21%

45-54 5% 17%

55-99 2% 21%

Gender

Panel Count Nat Rep

Female 35% 50%

Male 65% 50%

Household Income

Panel Count

Less than 5000 YTL 38%

5000 YTL to 9999 YTL 11%

10.000 YTL to 19.999 YTL 12%

20.000 YTL to 39.999 YTL 12%

40.000 YTL to 59.999 YTL 6%

60.0000 YTL to 79.999 YTL 2%

80.000 YTL or more 2%



Geographic Region

Panel Count

Akdeniz Bölgesi 7%

Dogu Anadolu 4%Bölgesi

Ege Bölgesi 19%

Güneydogu 5%Anadolu Bölgesi

Iç Anadolu Bölgesi 10%

Karadeniz Bölgesi 10%

Marmara Bölgesi 45%




Ukraine Panel Size: 12,000Language: Ukrainian, RussianSmartphone Penetration: 14%*

Age

Panel Count Nat Rep

18-24 23% 11%

25-34 44% 20%

35-44 25% 17%

45-54 6% 17%

55-99 2% 35%

Gender

Panel Count

Female 42%

Male 58%



United Kingdom Panel Size: 479,000Language: EnglishSmartphone Penetration: 62%*

Age

Panel Count Nat Rep

18-24 34% 12%

25-34 24% 17%

35-44 17% 16%

45-54 13% 19%

55-99 12% 37%

Gender

Panel Count Nat Rep

Female 61% 51%

Male 39% 49%

Household Income

Panel Count

Less than £10,000 17%

£10,000 to £14,999 20%

£15,000 to £19,999 8%

£20,000 to £29,999 15%

£30,000 to £39,999 10%

£40,000 to £49,999 6%

£50,000 to £59,999 4%

£60,000 to £69,999 3%

£70,000 to £79,999 2%

£80,000 to £89,999 1%

£90,000 to £99,999 1%

£100,000 to £149,999 1%

£150,000 to £199,999 0%

£200,000 or more 1%



Geographic Region

Panel Count

Midlands and Wales 21%

North and Scotland 32%

Northern Ireland 2%

South 45%



Panel CommunitiesAPAC


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 South Wales 30%

Northern Territory 1%

Queensland 22%

South Australia 8%

Tasmania 2%

Victoria 25%

Western Australia 10%

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%



Australia Panel Size: 113,000Language: EnglishSmartphone Penetration: 65%*




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%



China Panel Size: 1,455,000Language: Mandarin (Simplifi ed Chinese)Smartphone Penetration: 47%*




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%



Hong Kong Panel Size: 100,000Language: Cantonese (Traditional Chinese), English





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 99,999 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%



India Panel Size: 150,000Language: Hindi, EnglishSmartphone Penetration: 59%*




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%











More than Rp 500 million 1%



Gender

Panel Count Nat Rep

Female 34% 50%

Male 66% 50%

Indonesia Panel Size: 117,000Language: Bahasa IndonesianSmartphone Penetration: 14%*




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%



Japan Panel Size: 210,000Language: JapaneseSmartphone Penetration: 25%*




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%







90 to 1 Billion Won 2%

1 Billion Won or more 3%



Korea Panel Size: 245,000Language: KoreanSmartphone Penetration: 73%*




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 35%

20,000 to 34,999 Ringgit 14%

35,000 to 49,999 Ringgit 11%

50,000 to 99,999 Ringgit 13%

100,000 Ringgit or more 5%



Malaysia



Panel Size: 85,000Language: Malay



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/West Coast 11%

Gisborne 1%

Nelson/Marlborough 3%

Northland 4%

Otago/Southland 6%

Taranaki/Wanganui 4%

Hawkes Bay 4%

Waikato 10%

Wellington/Manawatu 15%

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%



New Zealand



Panel Size: 30,000Language: English, Māori, New Zealand Si gn Language



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






Philippines Panel Size: 77,000Language: Filipino, EnglishSmartphone Penetration: 39%*


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 47%of the country

I am a permanent 6%resident of the country

I am a non-resident 47%with a working visa

Household Income

Panel Count

Less than 30,000 SGD 25%

30,000 to 39,999 SGD 11%

40,000 to 49,999 SGD 8%

50,000 to 59,999 SGD 7%

60,000 to 69,999 SGD 7%

70,000 to 79,999 SGD 5%

80,000 to 89,999 SGD 5%

90,000 to 99,999 SGD 3%

100,000 to 129,999 SGD 7%

130,000 to 159,999 SGD 3%

160,000 or more 3%



Singapore Panel Size: 105,000Language: English, Mandarin, Malay, Tamil





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%


Taiwan

*Our reach includes our growing Toluna panel plus our trusted partner in this market

Panel Size: 86,000*Language: Mandarin (Traditional Chinese)Smartphone Penetration: 31%*


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 Thailand 18%

Northern Thailand 26%

Household Income

Panel Count

Less than 70,000 Baht 32%

70,001 to 135,000 Baht 15%

135,001 to 200,000 Baht 9%

200,001 to 265,000 Baht 6%

265,001 to 330,000 Baht 5%

330,001 to 395,000 Baht 6%

395,001 to 460,000 Baht 3%

460,001 to 525,000 Baht 3%

525,001 to 590,000 Baht 2%

590,001 to 655,000 Baht 2%

655,001 to 900,000 Baht 3%

900,001 Baht or more 7%



Thailand Panel Size: 85,000Language: ThaiSmartphone Penetration: 51%*




Vietnam

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






Panel Size: 85,000Language: Vietnamese



Example profi le data gathered by Toluna2016

Geographically customized U.S.A. only

60

AutomotiveNumber of Cars in your household

Main car you drive - Year

Main car you drive - Make

Main car you drive - Model

Main car you drive - Style

Main car you drive - Own or lease

Main car you drive - Year purchased

Main car you drive - Purchased new or secondhand

Main car you drive - Fuel

Main car you drive - Owner

Second car in household - Year

Second car in household - Make

Second car in household - Model

Second car in household - Style

Second car in household - Own or lease

Second car in household - Year purchased

Second car in household - Purchased new or secondhand

Second car in household - Fuel

Second car in household - Owner

Car maintenance decision maker

Next car - Purchase date

Next car - New or secondhand

Next car - Price

Next car - Make

Next car - Style

Other vehicles own or plan to buy in next 12 months - Own

Other vehicles own or plan to buy in next 12 months - Plan to buy

Scooter - Make

Scooter - Engine size

Motorbike - Make

Motorbike - Engine size

BasicFirst Name

Last Name

Email

Gender

Password

User Name

Birthdate

Address1

Address2

City

Postal Code Validation

Race

Education

Income

Number of people living in the household

Children Under 18

Primary grocery shopper

Work Position

Ethnicity

Citizenship Status


61

B2BEmployment status

Sector where you work

Type of fi rm you work for

Main sector of activity of your company

Specifi c area of manufacturing worked in

Specifi c area of retailing worked in

Specifi c area of the public sector worked in

Department worked in

IT areas involved in

Position in the company

Number of employees in your offi ce

Number of total employees in your company

Number of computers your organization uses globally

Company revenue globally

Approximate yearly global turnover of your organization

Number of people you manage

Decision Maker, Infl uencer or None - Advertising/Marketing

Decision Maker, Infl uencer or None - Computer hardware

Decision Maker, Infl uencer or None - Computer networks

Decision Maker, Infl uencer or None - Employe benefi ts/Mutual insurance

Decision Maker, Infl uencer or None - Finance

Decision Maker, Infl uencer or None - General offi ce supplies

Decision Maker, Infl uencer or None - Human resources

Decision Maker, Infl uencer or None - Logistics/Strategic planning

Decision Maker, Infl uencer or None - Manufacturing/Production

Decision Maker, Infl uencer or None - Motor pool

Decision Maker, Infl uencer or None - Shipping/Mail services

Decision Maker, Infl uencer or None - Software/Application development

Decision Maker, Infl uencer or None - Telecommunications/Mobile

Decision Maker, Infl uencer or None - Travel and transport arrangements

What year did you start working fory our current organization

BeautyLuxury products purchased in last 12 months

Personal care products used at least once per week

Types of stores where personal care products are purchased

FinanceFinancial Institutions where you have an account

Credit cards - Personal

Credit cards - Business

Loan types

Financial assets owned

Permanent overdraft/revolving credit access

Financial decision maker in household

Mortgage loan types

Stocks/bonds securities owned

Security trades made in the last 12 months

Investable assets amount


62

HealthHealth and medical areas that aff ect you

Health and medical areas that aff ect someone in your household

Health and medical areas that you provide care for

Allergies

Food allergies

Breathing and respiratory conditions

Cancer conditions

Diabetes types

Digestive conditions

Eye/Ear/Nose/Throat conditions

Heart/Blood conditions

Immunological conditions

Men’s health conditions

Mental health and behavior conditions

Neurological/Brain-related conditions

Bone/Joint/Muscle conditions

Physical appearance conditions

Sexual health conditions

Skin conditions

Sleep conditions

Weight conditions

Women’s health conditions

Medical devices you use

Medical devices used by someone in your household

Medical devices used by someone you provide care for

Vision/Eye conditions

Home & FamilyMain salary earner in the household

Education level of main salary earner, if not you

Position of main salary earner, if not you

Monthly net income - you

Estimated household yearly income

Marital Status

Children Date of Birth (up to 10)

Children Gender (up to 10)

Expecting a baby in the household

Pregnancy planning in the next 3 months

City population

Residential status

Date of plans to move to a new residence

Secondary residence or vacation home owned

Number of dogs in household

Number of cats in household

Number of other pets in household

Additional languages spoken

Ethnic heritage

InternetInternet service provider at home

Internet connection speed at home

Places where you access the internet

Internet usage frequency - business purposes

Internet usage frequency - personal purposes

Computer systems you own in the next 12 months

Computer systems you plan to buy in the next 12 months

Frequency of online shopping done in the last 12 months

Items purchased online in the last 12 months

Online social network websites

Online social network frequency


63

Medical ProfessionalsAge

Gender

Graduation Year

MD/DO

ICD9 data

Prescribing behavior

Primary & secondary areas of specialty

Empanelled

Type of Practice

Type of Physician

Health and Medical Areas

Non-Physician Specialties

MediaHours spent per day watching TV - week day

Hours spent per day listening to the radio - week day

Hours spent per day reading magazines - week day

Hours spent per day reading newspapers - week day

Hours spent per day watching TV - weekend

Hours spent per day listening to the radio - weekend

Hours spent per day reading magazines - weekend

Hours spent per day reading newspapers - weekend

TV services

Cable/Satellite provider

Television networks

Frequence of attending the cinema/movies

Movie types enjoyed

Magazine types

Newspapers regularly read

Magazines regularly read

Website types

Media technology devices

Mobile PhoneMobile phone service provider - personal

Mobile phone brand - personal

Mobile phone smartphone - personal

Moble operating system - personal

Plan to change provider - personal

Mobile phone contract type - personal

Mobile phone monthly bill amount - personal

Mobile phone decision maker - business

Mobile phone service provider - business

Mobile phone brand - business

Mobile phone smartphone - business

Moble operating system - business

Plan to change provider - business

Mobile phone contract type - business

Mobile phone monthly bill amount - business

Interested in taking mobile phone surveys?

Mobile phone number


64

ShoppingType of store where you buy groceries

Main supermarket where you shop

Other supermarkets where you shop

Main online supermarkets where you shop

Other online supermarkets where you shop

CPG products purchased in the past 6 months

Alcohol types you’ve drank in the past 6 months

Alcohol brands you’ve drank in the past 6 months

Types of beer you drink

Beer brands

Do you smoke?

Which brand of cigarettes do you usually smoke?

Are you currently on a diet or have you been in the last 6 months?

Frequency of going to restaurants for lunch

Frequency of going to restaurants for dinner

Frequency of going to bars/coff ee shops

Frequency of going out clubbing/dancing

Frequency of buying take-out food for lunch

Frequency of buying take-out food for dinner

Frequency of going to fast-food restaurants

Frequency of cooking meals at home

Fast Food restaurants visited in the last 3 months

Types of stores shopped at in the last 6 months

Wholesale warehouses shopped at in the last 6 months

SportsSports played

Do you have a gym membership?

Frequency of practicing sports

Sports watched on TV

Hobbies/Interests

Types of online gambling activities engaged in


65

TravelTravel abroad in the past 12 months - Liesure

Travel abroad in the past 12 months - Business

Take a plane when travelling abroad in last 12 months - Liesure

Take a train when travelling abroad in last 12 months - Liesure

Rent a car when travelling abroad in last 12 months - Liesure

Stay in a hotel when travelling abroad in last 12 months - Liesure

Travel destinations in last 12 months - Liesure

Travel websites used to book trips abroad in past 12 months - Liesure

Airline companies used in past 12 months - Liesure

Airline class - Liesure

Hotel category - Liesure

Taken a cruise in the last 2 years - Liesure

Disney parks you plan to visit in the next 12 months

Take a plane when travelling abroad in last 12 months - Business

Take a train when travelling abroad in last 12 months - Business

Rent a car when travelling abroad in last 12 months - Business

Stay in a hotel when travelling abroad in last 12 months - Business

Travel destinations in last 12 months - Business

Travel websites used to book trips abroad in past 12 months - Business

Airline companies used in past 12 months - Business

Airline class - Business

Hotel category - Business

Video GamesGame systems you own

How often do you play per week

On average, how many hours per week do you play?

Type of game systems played

Do you play video games online?

Who else in the household plays video games?

Game systems used by other members of household

Intention to buy a game console in next 12 months

Which system to you intend to buy in the next 12 months?

18 Offi ces Worldwide | Get In TouchNorth AmericaWilton, CT (NA Headquarters) +1 203 834 8585

Dallas, TX +1 972 732 7323

North Andover, MA+1 978 983 2500

Toronto, Canada+ 1 416 733 7562

EMEAParis, France (Global Headquarters)+33 (0) 1 40 89 71 00

London, UK+44 (0) 20 8832 1700

Amsterdam, Netherlands+31 (0)20 846 67 43

Frankfurt, Germany+49(0) 69 8700 199-00

Haifa, Israel+972 4 8501586

Madrid, Spain+34 91 436 73 90

Timisoara, Romania+40 256 406 900

APACSydney, Australia+61 2 8249 1927

Gurgaon, India+91 124 412 6700

Hong Kong+852 3512 0600

Kuala Lumpur, Malaysia+603 2298 7323

Seoul, South Korea+82-2-6004-1342

Singapore+65 6818 9741

Tokyo, Japan+81 3 5459-1067

North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:North America:4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces4 Offi ces

APAC:APAC:APAC:APAC:APAC:APAC:7 Offi ces7 Offi ces7 Offi ces7 Offi ces7 Offi ces7 Offi ces7 Offi ces

EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:EMEA:7 Offi ces7 Offi ces7 Offi ces7 Offi ces7 Offi ces7 Offi ces7 Offi ces7 Offi ces7 Offi ces7 Offi ces

67

EMEA:7 Offi ces

APAC:7 Offi ces

North America:4 Offi ces

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