toluna global panelbook 2016

PanelBook 2016

+/- 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 CountriesThe 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 114,000

China 1,245,000

Hong Kong 230,000

India 307,000

Indonesia 137,000

Japan 258,000

Korea 213,000

Malaysia 98,000

New Zealand 23,000

Pakistan* 4,000

Philippines 159,000

Singapore 42,000

Taiwan* 113,000

Thailand 121,000

Vietnam 82,000

*Toluna.com community launch pending Data pulled July 2016 | 2

Toluna Partners in 72 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

Puerto Rico

St. Kitts and Nevis

St. Lucia

St. VincentGrenadines

Suriname

Trinidad and Tobago

Turks and Caicos

EMEA

Algeria

Bahrain

Belarus

Benin

Burkina Faso

Burundi

Cameroon

Central AfricanRepublic

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 CommunitiesThe Americas


Argentina Panel Size: 104,300Language: 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 April 2016+/-28% 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 RegionPanel 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: 646,800Language: PortugueseSmartphone Penetration: 26%*

According to data from April 2016 +/-21% of respondents complete Toluna



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: 198,500Language: 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%




surveys via a mobile device

Chile Panel Size: 94,500Language: Spanish


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: 113,200Language: 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 Panel Size: 16,400Language: Spanish

Household Income

Panel Count







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


Center 54%

East 14%

North 12%

South 11%

West 9%

Panel Size: 306,700Language: SpanishSmartphone Penetration: 37%*




Age

Panel Count Nat Rep

18-24 43% 35%

25-34 37% 37%

35-44 14% 17%

45-54 5% 8%

55+ 1% 3%

Gender

Panel Count Nat Rep

Female 42% 32%

Male 58% 68%

Paraguay Panel Size: 3,400Language: Spanish

Household Income

Panel Count

Low annual income 4%

Average annual income 5%

High annual income 0%




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: 53,300Language: 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


MidWest 20%

NorthEast 15%

Other 1%

South 40%

West 24%

Panel Size: 1,706,700Language: EnglishSmartphone Penetration: 56%*




Age

Panel Count Nat Rep

18-24 31% 35%

25-34 30% 28%

35-44 21% 18%

45-54 12% 12%

55+ 6% 7%

Gender

Panel Count Nat Rep

Female 62% 54%

Male 38% 46%

Uruguay Panel Size: 6,900Language: Spanish

Household Income

Panel Count




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: 72,000Language: 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: 19,000Language: 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: 77,000Language: Dutch, French, GermanSmartphone Penetration: 34%*




Bulgaria Panel Size: 9,500Language: Bulgarian

Age

Panel Count

18-24 37%

25-34 36%

35-44 17%

45-54 8%

55-64 3%

65-99 0%

Household Income

Panel Count






Gender

Panel Count

Female 61%

Male 39%


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 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: 23,000Language: 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: 27,000Language: 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: 7,700Language: 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: 20,300Language: 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: 435,500Language: 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: 322,500Language: GermanSmartphone 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: 29,000Language: 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: 31,900Language: 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: 23,200Language: 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: 222,000Language: ItalianSmartphone Penetration: 41%*




Age

Panel Count Nat Rep

18-24 34% 10%

25-34 42% 17%

35-44 14% 16%

45-54 8% 18%

55-99 3% 39%

Gender

Panel Count Nat Rep

Female 55% 55%

Male 45% 45%

Household Income

Panel Count





Latvia Panel Size: 6,500Language: Latvian


Age

Panel Count Nat Rep

18-24 41% 11%

25-34 39% 16%

35-44 14% 16%

45-54 4% 18%

55-99 1% 39%

Gender

Panel Count Nat Rep

Female 56% 55%

Male 44% 45%

Household Income

Panel Count





Lithuania Panel Size: 8,100Language: Lithuanian


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 9%Randstad

East 20%

North 13%

South 20%

West-Regio 38%Randstad

Panel Size: 114,000Language: DutchSmartphone Penetration: 52%*




Age

Panel Count Nat Rep

18-24 37% 25%

25-34 45% 28%

35-44 13% 20%

45-54 4.5% 13%

55-99 0.5% 14%

Gender

Panel Count Nat Rep

Female 28% 49%

Male 72% 51%

Household Income

Panel Count

Under $15,000 1%

$15,000-$19,999 1%

$20,000-$24,999 0%

$25,000-$29,999 0%

$30,000-$34,999 0%

$35,000-$59,000 0%

$60,000-$64,999 0%

$80,000-$84,999 0%

$85,000-$199,000 0%

$200,000+ 0%






Nigeria Panel Size: 1,300Language: English


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: 20,500Language: 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: 73,000Language: 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: 30,000Language: PortugueseSmartphone Penetration: 32%*




Romania Panel Size: 42,500Language: 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: 322,400Language: 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 14% 21%

25-34 52% 32%

35-44 23% 23%

45-54 8% 13%

55-99 3% 11%

Gender

Panel Count Nat Rep

Female 17% 44%

Male 83% 56%

Household Income

Panel Count

Less than 2,000 Riyals 16%

2,001 - 4,000 Riyals 13%

4,001 - 6,000 Riyals 8%

6,001 - 8,000 Riyals 5%

8,001 - 10,000 Riyals 6%

10,001 - 12,000 Riyals 4%

12,001 - 14,000 Riyals 2%

14,001 - 16,000 Riyals 2%

16,001 - 18,000 Riyals 1%

18,001 - 20,000 Riyals 3%

20,001 - 30,000 Riyals 4%

30,001 - 40,000 Riyals 4%

40,001 - 50,000 Riyals 4%

50,001 - 60,000 Riyals 3%

60,001 - 70,000 Riyals 3%

70,001 - 80,000 Riyals 3%

80,001 - 90,000 Riyals 2%

90,001 - 100,000 Riyals 6%

More than 100,000 Riyals 10%


Saudi Arabia Panel Size: 1,300Language: Arabic


Age

Panel Count Nat Rep

18-24 32% 11%

25-34 40% 17%

35-44 17% 20%

45-54 7% 17%

55-99 4% 35%

Gender

Panel Count Nat Rep

Female 72% 51%

Male 28% 49%

Household Income

Panel Count





Slovakia Panel Size: 5,900Language: SlovakSmartphone Penetration: -



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: 41,500Languages: Afrikaans, English, Ndebele, Northern Sotho,Sotho, Swazi, Tswana, Tsonga, Venda, Xhosa and ZuluSmartphone Penetration: 40%*




Spain Panel Size: 250,000Language: 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

Panel Count

EST 32%

NORTE 15%

OUEST 8%

SUD 45%




Sweden Panel Size: 51,800Language: 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: 19,000Language: 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

Panel Count

Central 7%

East 11%

Lemanique Region 32%

Midlands 24%

NorthWest 11%

Principality of 0%Liechtenstein

Ticino 1%

Zurich 14%




Turkey Panel Size: 103,200Language: Turkish

Age

Panel Count Nat Rep

18-24 31% 17%

25-34 40% 22%

35-44 20% 22%

45-54 7% 17%

55-99 2% 22%

Gender

Panel Count Nat Rep

Female 34% 50%

Male 66% 50%

Household Income

Panel Count

Less than 5000 YTL 37%

5000 YTL to 9999 YTL 9%

10.000 YTL to 19.999 YTL 15%

20.000 YTL to 39.999 YTL 17%

40.000 YTL to 59.999 YTL 9%

60.0000 YTL to 79.999 YTL 9%

80.000 YTL or more 5%





Age

Panel Count Nat Rep

18-24 15% 14%

25-34 57% 39%

35-44 21% 28%

45-54 6% 13%

55+ 1% 5%

Gender

Panel Count Nat Rep

Female 24% 26%

Male 76% 74%

Household Income

Panel Count






UAE Panel Size: 1,500Language: Arabic


Ukraine Panel Size: 35,300Language: Ukrainian, Russian

Age

Panel Count Nat Rep

18-24 30% 11%

25-34 40% 18%

35-44 19% 18%

45-54 8% 17%

55+ 3% 36%

Household Income

Panel Count

100,001 - 200,000 RUB 1%

200,001 - 300,000 RUB 0%

300,001 - 400,000 RUB 0%

400,001 - 500,000 RUB 0%

500,001 - 1,000,000 RUB 0%





Gender

Panel Count Nat Rep

Female 52% 55%

Male 48% 45%


United Kingdom Panel Size: 580,000Language: 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 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%



Australia


surveys via a mobile device* Pew Research Center 2016 Report

Panel Reach: 113,000 Language: English Smartphone Penetration: 77%*


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 Reach: 1,455,000Language: Mandarin (Simplified Chinese) Smartphone Penetration: 58%*




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 Reach: 100,000

Language: Cantonese (Traditional Chinese), English Smartphone Penetration: 83%*


surveys via a mobile device* Census and Statistics Department, Hong Kong Government


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%



India Panel Reach: 150,000 Language: Hindi, English Smartphone Penetration: 17%*




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 Reach: 117,000 Language: Bahasa Indonesian Smartphone Penetration: 21%*




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 Reach: 210,000 Language: Japanese Smartphone Penetration: 84%*


surveys via a mobile device* CIAJ 2016 Report


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 Reach: 245,000 Language: Korean Smartphone Penetration: 88%*




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%



Malaysia

* Pew Research Center 2016 Report

Panel Reach: 68,000 Language: Malay Smartphone Penetration: 65%*




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%



New Zealand


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%*


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


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






Panel Reach: 77,000 Language: Filipino, English Smartphone Penetration: 22%*

* Pew Research Center 2016 Report



Philippines


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%



Singapore


surveys via a mobile device* Government of Singapore, 2016

Panel Reach: 105,000

Language: English, Mandarin, Malay, Tamil Smartphone Penetration: 90%*


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 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


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%



Thailand Panel Reach: 105,000 Language: ThaiSmartphone Penetration: 40%*


surveys via a mobile device* IDC Thailand, 2016

1,200,000 Baht & above 10%


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 Reach: 85,000 Language: Vietnamese Smartphone Penetration: 36%*

* Vietnam Mobile Market Study, Appota, 2016

Vietnam

Example profi le data gathered by Toluna2016

Example profi le data gathered by Toluna

Geographically customized U.S.A. only

67

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

AutomotiveNumber of Cars in your household

Main car you drive - Year


68

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 o� 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 o� 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


69

HealthHealth and medical areas that a� ect you

Health and medical areas that a� 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


70

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


71

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/co� 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


72

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?

19 O� ces Worldwide | Get In Touch

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 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces4 O� ces

APAC:APAC:APAC:APAC:APAC:APAC:7 O� ces7 O� ces7 O� ces7 O� ces7 O� ces7 O� ces7 O� ces

EMEA:8 O� ces

North 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

Dubai, UAE+971 (4) 428 0992

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

APAC:7 O� ces

North America:4 O� ces