SlideShare a Scribd company logo
© 2020 Borderless Access 1
Global Panel Book
© 2020 Borderless Access 2
Awards and Certifications
Professional Memberships
and Affiliations
Awards and Associations
Genuine Respondents = Quality Responses
© 2020 Borderless Access 3
Reliable and authentic responses are key to any research studies. Which is why we rigorously authenticate our
panelists at many levels to ensure unique and genuine responses leading to quality data.
Recruitment by invitation only
Invite only candidates that
we are looking for.
Double opt-in
Following a strict double opt-in
process as per the ESOMAR
guidelines.
Mobile verification
(Triple opt-In)
Mobile authentication using a one-time password
at registration.
Additionally redemption of points as coupon are
sent only to the verified mobile number.Social media verification
A must for all B2B panel recruits.
B2C panelists are encouraged to engage
with us on social media platforms. Ongoing response monitoring
Use of advanced tools and predictive algorithms
to track and remove panellists who do not
conform to our quality standards.
1
2
3
4
5
Get Access to Niche Audience
© 2020 Borderless Access 4
We have the capability to reach niche audience through meticulously profiled panellists and alternate methodologies.
Online
Shoppers
IT Auto Travel Mobile
Health and
Wellness
Finance
Online
shopping
behavior,
channel
preferences,
affinity,
product set
preferences,
purchase
frequency and
purchase size.
Based on the
company they
work in,
employee size,
number of PCs,
designation,
primary IT
functions/
responsibility,
occupation,
industry, and
company
annual revenue.
Type
of vehicle
owned – Two or
Four-wheelers,
vehicle brand,
segmented by –
small, mid-
sized, luxury,
and SUVs, as
well as old /
new purchases.
Type of air
travel –
business or
leisure, travel
frequency, class
of air travel,
and more.
Mobile phone
ownership and
usage,
attributes
include
mobile brands,
smart phone
ownership,
usage,
and more.
Physicians, care
givers, key
opinion leaders
(KOL),
pharmacists,
hospital
administrators.
Patients
profiled on
ailment type,
lifestyle
parameters and
healthcare
access.
Target based
decision making
criteria,
online banking
usage, financial
products
owned.
Panel Attributes List
© 2020 Borderless Access 5
Basic Demographics
• Gender
• Age
• Marital status
• Language
• Number of people in household
• Education
• Household income
• Employment status
• Own or rent
• Region
• Ethnicity or race
Interests / Hobbies
• General
• Health / fitness / wellness
• Hobbies / leisure
• Sports activities
Automotive
• Types of car
• Car brands
• Purchase intent
• Role in decision
Mobile Phone
• Mobile phone use
• Type of mobile phone
• Operating systems
• Network providers (India)
• Average monthly billing
• Contract type
• Phone brands
Entertainment
• Television
• Books
• Movies
• Music
Electronics / Gadgets
• Electronic devices owned
• Online activities
• Video game system
Travellers
• Frequency of travel
• Frequency of travel by air
• Air travel intenders
• Domestic travellers for business
/ leisure purpose
• Overseas travellers for business
/ leisure purpose
• Travel decision makers
• Destination travelled in the past 12 months
(continents)
Panel Attributes List
© 2020 Borderless Access 6
Business Professional
• Title
• Occupation
• Functional role
• Purchase decision makers
• Primary role
• Human Resources Role
Basic Attributes
• Business Type
• Industry Segment
• Annual Revenue
• Number of Employees across locations
Expanded Business Variables by
Industry
• Business services
• Computer hardware
• Computer software
• Consulting
• Consumer products
• Consumer services
• Entertainment / sports
• Energy and utilities / oil and gas
• Food / beverages / restaurant
• Media / publishing
• Non-profit
• Retail
• Telecommunications
• Equipment
• Travel / hospitality / leisure / legal services
Consumer Banking
• Type of banks
• Financial products
• Credit cards
• Bank brands
• Bitcoins / cryptocurrency
• Type of financial account
ITDM / IT Roles
• Type of IT professional
• Developer roles
• Primary IT functions / responsibility
Healthcare – Physician Panels
• Healthcare / medical professionals
• Nursing
• Physician primary specialty
© 2020 Borderless Access 7
Poland
80,000+
Germany
40,000+
UK
60,000+
US
70,000+
Mexico
300,000+
Colombia
130,000+
Brazil
365,000+
Chile
110,000+
Nigeria
100,000+
Argentina
230,000+
South Africa
220,000+
Kenya
40,000+
KSA
175,000+
India
1,200,000+
Egypt
75,000+
UAE
165,000+
Russia
165,000+
China
250,000+
Korea
55,000+
Hong Kong
25,000+
Taiwan
70,000+
Vietnam
55,000+
Philippines
175,000+
Singapore
55,000+
Malaysia
50,000+
Indonesia
260,000+
Thailand
165,000+
New Zealand
55,000+
Australia
90,000+
Turkey
220,000+
5.11 Million Respondents | 33 Markets | 6.8 Million Surveys Annually
Ghana
25,000+
Qatar
20,000+
Kuwait
20,000+
North America and LATAM
© 2020 Borderless Access 8
Argentina
9
Male
Female48%
52%
42% 33%
Married Single 64%
36%
Graduates /
Post
Graduates
Less than
Graduate
Business owners 4%
Currently unemployed 9%
Employed - Full Time 30%
Employed - Part Time 17%
Self-employed 12%
Student 13%
Others 15%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 230,000+
24%
33%
24%
11%
8%
15-24
25-34
35-44
45-54
55+
25%
Others
© 2020 Borderless Access
Others 23%
Corrientes 3%
Santa Fe 5%
Córdoba 10%
Buenos Aires 40%
Rosario 6%
La Plata 3%
Avellaneda 5%
Mendoza 5%
Brazil
© 2020 Borderless Access 10
Male
Female48%
52%
48% 39%
Married Single 54%
46%
Post
Graduates /
Graduates
Less than
Graduate
Others 26%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 365,000+
26%
30%
23%
14%
7%
15-24
25-34
35-44
45-54
55-64
Fortaleza 4%
Salvador 3%
Belo Horizonte 6%
Rio de Janeiro 14%
São Paulo 33%
Curitiba 5%
Porto Alegre 5%
Brasília 4%
13%
Others
Business Owners 9%
Currently unemployed 14%
Employed - Full Time 31%
Employed - Part Time 14%
Self-employed 9%
Student 12%
Others 11%
Chile
© 2020 Borderless Access 11
Male
Female42%
58%
33% 48%
Married Single 64%
36%
Post
Graduates /
Graduates
Less than
Graduate
Others 26%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 110,000+
24%
34%
22%
14%
6%
15-24
25-34
35-44
45-54
55+
Santiago Metropolis 44%
Gran Valparaíso
6%
Antofagasta 7%
Viña del Mar 11%
Gran Concepción 6%
19%
Others
Business Owners 2%
Currently unemployed 9%
Employed - Full Time 41%
Employed - Part Time 8%
Self-employed 8%
Student 19%
Others 13%
Colombia
© 2020 Borderless Access 12
Male
Female44%
56%
43% 41%
Married Single 48%
52%
Post
Graduates /
Graduates
Less than
Graduate
Others 22%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 130,000+
22%
36%
25%
12%
5%
15-24
25-34
35-44
45-54
55+
Bogotá 38%
Medellín 14%
Cali 11%
Barranquilla 6%
Bucaramanga 3%
Pereira 3%
Ibagué 3%
16%
Others
Business Owners 3%
Currently unemployed 4%
Employed - Full Time 36%
Employed - Part Time 21%
Self-employed 14%
Student 18%
Others 4%
Mexico
© 2020 Borderless Access 13
Male
Female51%
49%
45% 39%
Married Single 54%
46%
Post
Graduates /
Graduates
Less than
Graduate
Others 27%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 300,000+
29%
32%
22%
12%
5%
15-24
25-34
35-44
45-54
55+
Monterrey 12%
Aguascalientes 3%
Minatitlán 3%
Cancún 3%
Mexico City 21%
Guadalajara 13%
Acapulco 11%
El Salto 7%
16%
Others
Business Owners 5%
Currently unemployed 8%
Employed - Full Time 41%
Employed - Part Time 11%
Self-employed 6%
Student 21%
Others 8%
USA
© 2020 Borderless Access 14
Male
Female36%
64%
34% 47%
Married Single 28%
72%
Post
Graduates /
Graduates
Less than
Graduate
Others 25%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 70,000+
22%
31%
23%
15%
9%
15-24
25-34
35-44
45-54
55-64
19%
Others
Business Owners 4%
Currently unemployed 16%
Employed - Full Time 31%
Employed - Part Time 9%
Self-employed 9%
Student 8%
Others 23%
Los
Angeles
13%
New York 17%
Chicago 11%
Houston 8%
Philadelphia 6%
Phoenix 6%
Dallas 5%
Seattle 5%
San Diego 4%
Europe
© 2020 Borderless Access 15
Germany
© 2020 Borderless Access 16
Male
Female49%
51%
33% 53%
Married Single 41%
59%
Post
Graduates /
Graduates
Less than
Graduate
Others 16%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 40,000+
21%
31%
24%
17%
7%
15-24
25-34
35-44
45-54
55-64
14%
Others
Business Owners 3%
Currently unemployed 7%
Employed - Full Time 36%
Employed - Part Time 19%
Self-employed 4%
Student 14%
Others 17%
Munich 14%
Cologne 6%
Berlin 17%
Frankfurt 11%
Hamburg 14%
Stuttgart 7%
Dortmund 10%
Düsseldorf 5%
Poland
© 2020 Borderless Access 17
Male
Female40%
60%
46% 38%
Married Single 57%
43%
Post
Graduates /
Graduates
Less than
Graduate
Others 11%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 80,000+
24%
37%
21%
11%
7%
15-24
25-34
35-44
45-54
55+
Masovian 21%
Pomeranian 9%
Lesser Poland 13%
Lower Silesian 9%
Łódzkie 8%
Greater Poland 11%
Silesian 18%
16%
Others
Business Owners 3%
Currently unemployed 12%
Employed - Full Time 46%
Employed - Part Time 9%
Self-employed 9%
Student 8%
Others 13%
Russia
© 2020 Borderless Access 18
Male
Female47%
53%
48% 38%
Married Single 36%
64%
Post
Graduates /
Graduates
Less than
Graduate
Others 15%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 165,000+
23%
36%
25%
11%
5%
15-24
25-34
35-44
45-54
55+
Moscow 24%
Saint Petersburg 14%
Yekaterinburg 11%
Chelyabinsk 8%
Novosibirsk 8%
Krasnodar 7%
Nizhny Novgorod 6%
Rostov-on-Don 7%
14%
Others
Business Owners 10%
Currently unemployed 7%
Employed - Full Time 42%
Employed - Part Time 6%
Self-employed 8%
Student 16%
Others 11%
Turkey
© 2020 Borderless Access 19
Male
Female63%
37%
49% 44%
Married Single 42%
58%
Post
Graduates /
Graduates
Less than
Graduate
Others 15%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 220,000+
32%
36%
18%
10%
4%
15-24
25-34
35-44
45-54
55+
Istanbul 35%
Ankara 14%
Izmir 11%
Adana 6%
Bursa 8%
Antalya 5%
Adapazari 3%
Balikesir 3%
7%
Others
Business Owners 5%
Currently unemployed 7%
Employed - Full Time 40%
Employed - Part Time 9%
Self-employed 6%
Student 27%
Others 6%
UK
© 2020 Borderless Access 20
Male
Female39%
61%
45% 41%
Married Single 48%
52%
Post
Graduates /
Graduates
Less than
Graduate
Others 17%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 60,000+
21%
32%
23%
17%
7%
15-24
25-34
35-44
45-54
55-64
14%
Others
Business Owners 2%
Currently unemployed 8%
Employed - Full Time 36%
Employed - Part Time 16%
Self-employed 6%
Student 15%
Others 17%
Birmingham 16%
Bradford 9%
Manchester 14%
London 26%
Liverpool 8% Sheffield 6%
NewCastle 4%
Middle East and Africa
© 2020 Borderless Access 21
Egypt
© 2020 Borderless Access 22
Male
Female66%
34%
50% 48%
Married Single 33%
67%
Post
Graduates /
Graduates
Less than
Graduate
Others 5%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 75,000+
24%
39%
24%
11%
2%
15-24
25-34
35-44
45-54
55-64
2%
Others
Business Owners 1%
Currently unemployed 7%
Employed - Full Time 38%
Employed - Part Time 16%
Self-employed 6%
Student 11%
Others 21%
Alexandria 19%
Cairo 28%
Giza 19%
Kaluobiya 14%
Sohag 4%
Gharbeia 11%
Ghana
© 2020 Borderless Access 23
Male
Female71%
29%
42% 54%
Married Single 41%
59%
Post
Graduates /
Graduates
Less than
Graduate
Gender Marital Status Education
Employment Status Cities Age
Panel Size 25,000+
28%
36%
24%
9%
3%
15-24
25-34
35-44
45-54
55+
4%
Others
Business Owners 3%
Currently unemployed 8%
Employed - Full Time 46%
Employed - Part Time 14%
Self-employed 11%
Student 14%
Others 4% Others 4%
Ashanti 19%
Upper East 4%
Brong Ahafo 8%
Central 10%
Eastern 9%
Greater Accra 19%
Northern 8%
Upper West 3%
Volta 8%
Western 8%
Kenya
© 2020 Borderless Access 24
Male
Female54%
46%
33% 58%
Married Single 37%
63%
Post
Graduates /
Graduates
Less than
Graduate
Gender Marital Status Education
Employment Status Cities Age
Panel Size 40,000+
28%
36%
21%
13%
2%
15-24
25-34
35-44
45-54
55+
9%
Others
Business Owners 1%
Currently unemployed 7%
Employed - Full Time 42%
Employed - Part Time 16%
Self-employed 8%
Student 24%
Others 2%
Others 9%
Mombasa 18%
Nairobi Metro 26%
Nairobi 24%
Kisumu 7%
Nakuru 6%
Eldoret 5%
Kehancha 3%
Ruiru 2%
KSA
© 2020 Borderless Access 25
Male
Female69%
31%
58% 38%
Married Single 48%
52%
Post
Graduates /
Graduates
Less than
Graduate
Gender Marital Status Education
Employment Status Cities Age
Panel Size 175,000+
29%
37%
22%
9%
3%
15-24
25-34
35-44
45-54
55+
Damman 8%
Makkah 9%
Jeddah 19%
Riyadh 34%
Madinah 6%
Buraydah 3%
At Taif 3%
Khubar 4%
Hufuf 4%
Al Qatif 3%
4%
Others
Business Owners 2%
Currently unemployed 10%
Employed - Full Time 57%
Employed - Part Time 5%
Self-employed 6%
Student 13%
Others 7%
Others 7%
Kuwait
© 2020 Borderless Access 26
Male
Female69%
31%
56% 42%
Married Single 37%
63%
Post
Graduates /
Graduates
Less than
Graduate
Others 7%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 20,000+
14%
44%
26%
14%
2%
15-24
25-34
35-44
45-54
55+
Farwaniya 22%
Kuwait City -
Capital Region 16%
Mubarak Al Kabeer 6%
Jahra 8% Hawalli 24%
Ahmadi 17%
2%
Others
Business Owners 6%
Currently unemployed 4%
Employed - Full Time 59%
Employed - Part Time 8%
Self-employed 6%
Student 9%
Others 8%
Nigeria
© 2020 Borderless Access 27
Male
Female67%
33%
40% 57%
Married Single 33%
67%
Post
Graduates /
Graduates
Less than
Graduate
Others 22%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 100,000+
24%
47%
21%
7%
1%
15-24
25-34
35-44
45-54
55+
Lagos 42%
Abuja 13%
Port Harcourt 9%
Ibadan 5%
Benin City 5%
Aba 4%
3%
Others
Business Owners 2%
Currently unemployed 12%
Employed - Full Time 33%
Employed - Part Time 13%
Self-employed 19%
Student 19%
Others 2%
Qatar
© 2020 Borderless Access 28
Male
Female71%
29%
60% 34%
Married Single 38%
62%
Post
Graduates /
Graduates
Less than
Graduate
Gender Marital Status Education
Employment Status Cities Age
Panel Size 20,000+
13%
47%
25%
11%
4%
15-24
25-34
35-44
45-54
55+
Al Daayen 4%Umm Slal 6%
Al Wakra 8%
Al Shamal 5%
Al Rayyan 23%
Al Khor 8%
5%
Others
Business Owners 3%
Currently unemployed 5%
Employed - Full Time 65%
Employed - Part Time 8%
Self-employed 2%
Student 9%
Others 8%
Others 6%
Doha 40%
South Africa
© 2020 Borderless Access 29
Male
Female44%
56%
48% 39%
Married Single 67%
33%
Post
Graduates /
Graduates
Less than
Graduate
Others 18%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 220,000+
21%
35%
25%
14%
5%
15-24
25-34
35-44
45-54
55+
Johannesburg 21%
Cape Town 20%
Durban 14%
Pretoria 12%
Alberton 2%
Port Elizabeth 5%
Benoni 4%
Bloemfontein 4%
13%
Others
Business Owners 4%
Currently unemployed 7%
Employed - Full Time 49%
Employed - Part Time 6%
Self-employed 12%
Student 16%
Others 6%
UAE
© 2020 Borderless Access 30
Male
Female67%
33%
56% 41%
Married Single 35%
65%
Post
Graduates /
Graduates
Less than
Graduate
Others 2%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 165,000+
20%
45%
25%
8%
2%
15-24
25-34
35-44
45-54
55+
3%
Others
Business Owners 3%
Currently unemployed 10%
Employed - Full Time 66%
Employed - Part Time 3%
Self-employed 4%
Student 6%
Others 8%
Ajman 3%
Al Ain 4%
Dubai 40%
Fujairah 3%
Ras al-Khaimah 5%
Umm al-Quwain 1%
Sharjah 12%
Abu Dhabi 30%
© 2020 Borderless Access 31
Asia-Pacific
Australia
© 2020 Borderless Access 32
Male
Female37%
63%
46% 31%
Married Single 66%
34%
Post
Graduates / Graduates
Less than
Graduate
Gender Marital Status Education
Employment Status Cities Age
Panel Size 90,000
22%
27%
22%
18%
11%
15-24
25-34
35-44
45-54
55+
Australian Capital
Territory 3%
Queensland 22%
Western
Australia 7%
Victoria 25%
Tasmania 2%
South Australia 11%
Northern Territory 2%
New South Wales 28%
23%
Others
Business Owners 1%
Currently unemployed 16%
Employed - Full Time 26%
Employed - Part Time 19%
Self-employed 6%
Student 10%
Others 22%
China
© 2020 Borderless Access 33
Male
Female57%
43%
55% 39%
Married Single 28%
72%
Post
Graduates /
Graduates
Less than
Graduate
Others 23%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 250,000+
24%
37%
28%
9%
2%
15-24
25-34
35-44
45-54
55+
6%
Others
Business Owners 6%
Currently unemployed 3%
Employed - Full Time 58%
Employed - Part Time 8%
Self-employed 6%
Student 15%
Others 4%
Shanghai 15%
Beijing 15%
Shenzhen 13%
Guangzhou 13%
Tianjin 4%
Chengdu 6%
Chongqing 7%
Wuhan 4%
Hong Kong
© 2020 Borderless Access 34
Male
Female41%
59%
51% 47%
Married Single 23%
77%
Post
Graduates /
Graduates
Less than
Graduate
Others 2%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 25,000+
16%
34%
32%
14%
4%
15-24
25-34
35-44
45-54
55-64
2%
Others
Business Owners 5%
Currently unemployed 2%
Employed - Full Time 64%
Employed - Part Time 6%
Self-employed 5%
Student 14%
Others 4%
Hong Kong Island
18%
Kowloon 42%
New
Territories
East 19%
New Territories
West 21%
India
© 2020 Borderless Access 35
Male
Female67%
33%
48% 49%
Married Single 26%
74%
Post
Graduates /
Graduates
Less than
Graduate
Others 20%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 1,200,000+
29%
38%
17%
13%
3%
15-24
25-34
35-44
45-54
55+
Delhi 16%
Ahmedabad 4%
Kolkata 9%
Mumbai 15%
Pune 6%
Chennai 9%
Bangalore 11%
Hyderabad 10%
3%
Others
Business Owners 8%
Currently unemployed 7%
Employed - Full Time 44%
Employed - Part Time 4%
Self-employed 8%
Student 24%
Others 5%
Indonesia
© 2020 Borderless Access 36
Male
Female67%
33%
44% 48%
Married Single 54%
46%
Post
Graduates /
Graduates
Less than
Graduate
Others 29%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 260,000+
35%
39%
18%
6%
2%
15-24
25-34
35-44
45-54
55+
Banda Aceh 5%
Banjarmasin 3%
Ambon 13%
Balikpapan 5%
Jakarta 21%
Bandung 9%
Bandar Lampung 4%
Surabaya 11%
8%
Others
Business Owners 4%
Currently unemployed 6%
Employed - Full Time 38%
Employed - Part Time 6%
Self-employed 13%
Student 28%
Others 5%
Malaysia
© 2020 Borderless Access 37
Male
Female44%
56%
47% 52%
Married Single 29%
71%
Post
Graduates /
Graduates
Less than
Graduate
Gender Marital Status Education
Employment Status Cities Age
Panel Size 50,000+
19%
35%
28%
14%
4%
15-24
25-34
35-44
45-54
55-64
1%
Others
Business Owners 3%
Currently unemployed 2%
Employed - Full Time 57%
Employed - Part Time 4%
Self-employed 14%
Student 17%
Others 3%
Others 2%
Johor 11%
Kuala
Lumpur 19%
Kedah 5%
Kelantan 2%
Melaka 3%
Negeri Sembilan 5%
Pahang 2%
Perak 7%
Perlis 1%
Pulau Pinang 7%
Sarawak 3%
Selangor 29%
Sabah 2%
Terengganu 2%
New Zealand
© 2020 Borderless Access 38
Male
Female34%
66%
46% 36%
Married Single 71%
29%
Post
Graduates /
Graduates
Less than
Graduate
Others 9%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 55,000+
18%
26%
24%
24%
8%
15-24
25-34
35-44
45-54
55+
Auckland 36%
Gisborne 2%
Nelson/ Marlborough 2%
Hamilton 7% Bay of Plenty 6%
Otago 4%
Hawke's Bay 4%
Northland 2%
Taranaki 3%
Canterbury/ Westcoast 7%
Wellington 11%
Southland 3%
Menawatu
Wanganui 4%
18%
Others
Business Owners 2%
Currently unemployed 13%
Employed - Full Time 37%
Employed - Part Time 16%
Self-employed 8%
Student 8%
Others 16
Philippines
© 2020 Borderless Access 39
Male
Female33%
67%
52% 41%
Married Single 40%
60%
Post
Graduates /
Graduates
Less than
Graduate
Others 13%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 175,000+
25%
40%
19%
10%
6%
15-24
25-34
35-44
45-54
55+
Metro Manila
(NCR) 41%
Calabarzon 11%
Central Visayas 12%
Northern Mindanao 6%
Davao Region 6%
Western Visayas 4%
Central Luzon 7%
7%
Others
Business Owners 3%
Currently unemployed 15%
Employed - Full Time 44%
Employed - Part Time 9%
Self-employed 14%
Student 8%
Others 7%
Singapore
© 2020 Borderless Access 40
Male
Female53%
47%
48% 47%
Married Single 57%
43%
Post
Graduates /
Graduates
Less than
Graduate
Others 25%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 55,000+
22%
36%
22%
16%
4%
15-24
25-34
35-44
45-54
55+
Singapore (Downtown Core)
10%
Ang Mo Kio
10%
Singapore River 7%
Woodlands 6%
Jurong West 5%
Tampines 5%
Hougang 5%
Yishun 4%
Bedok 4%
Sengkang 3%
Toa Payoh 3%
Pasir Ris 3%
Bukit Panjang 3%
Newton 3%
Tanglin 2%
Punggol 2%
5%
Others
Business Owners 1%
Currently unemployed 8%
Employed - Full Time 55%
Employed - Part Time 7%
Self-employed 7%
Student 16%
Others 6%
South Korea
© 2020 Borderless Access 41
Male
Female48%
52%
48% 46%
Married Single 42%
58%
Post
Graduates /
Graduates
Less than
Graduate
Others 22%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 55,000+
26%
32%
24%
15%
3%
15-24
25-34
35-44
45-54
55+
Seoul 28%
Busan 12%
Daegu 6%
Incheon 8%
Daejeon 6%
Suwon 6%
Andong 8%
Ansan 4%
6%
Others
Business Owners 7%
Currently unemployed 6%
Employed - Full Time 44%
Employed - Part Time 11%
Self-employed 7%
Student 18%
Others 7%
Taiwan
© 2020 Borderless Access 42
Male
Female58%
42%
42% 47%
Married Single 62%
38%
Post
Graduates /
Graduates
Less than
Graduate
Others 18%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 70,000+
28%
37%
21%
10%
4%
15-24
25-34
35-44
45-54
55+
Taipei 33%
Kaohsiung 12%
Taichung 14%
Tainan 11%
Taoyuan 12%
11%
Others
Business Owners 4%
Currently unemployed 6%
Employed - Full Time 44%
Employed - Part Time 7%
Self-employed 5%
Student 28%
Others 6%
Thailand
© 2020 Borderless Access 43
Male
Female51%
49%
37% 54%
Married Single 60%
40%
Post
Graduates /
Graduates
Less than
Graduate
Others 36%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 165,000+
33%
40%
18%
7%
2%
15-24
25-34
35-44
45-54
55+
Ban Lam Luk Ka 2%
Chiang Mai 5%
Chon Buri 5%
Samut Prakan 4%
Nakhon Ratchasima 3%
Phra Nakhon Si
Ayutthaya 3% Khon Kaen 2%
Mueang Nonthaburi 2%
Chiang Rai 2%
Bangkok 26%
Rayong 2%
Nakhon Pathom 2%
Phuket 2% Songkhla 2%
Udon Thani 2%
9%
Others
Business Owners 4%
Currently unemployed 12%
Employed - Full Time 48%
Employed - Part Time 6%
Self-employed 7%
Student 18%
Others 5%
Vietnam
© 2020 Borderless Access 44
Male
Female57%
43%
45% 52%
Married Single 20%
80%
Post
Graduates /
Graduates
Less than
Graduate
Others 16%
Gender Marital Status Education
Employment Status Cities Age
Panel Size 55,000+
35%
32%
22%
9%
2%
15-24
25-34
35-44
45-54
55-64
3%
Others
Business Owners 2%
Currently unemployed 8%
Employed - Full Time 44%
Employed - Part Time 13%
Self-employed 10%
Student 22%
Others 2%
Hanoi City 22%
Ho Chi Minh City 29%
Da Nang City 6%
Hai Phong City 4%
Red River Delta 19%
Mekong River Delta 4%
Contact Us
Business Enquiries
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Borderless Access - Global Panel book

  • 1. © 2020 Borderless Access 1 Global Panel Book
  • 2. © 2020 Borderless Access 2 Awards and Certifications Professional Memberships and Affiliations Awards and Associations
  • 3. Genuine Respondents = Quality Responses © 2020 Borderless Access 3 Reliable and authentic responses are key to any research studies. Which is why we rigorously authenticate our panelists at many levels to ensure unique and genuine responses leading to quality data. Recruitment by invitation only Invite only candidates that we are looking for. Double opt-in Following a strict double opt-in process as per the ESOMAR guidelines. Mobile verification (Triple opt-In) Mobile authentication using a one-time password at registration. Additionally redemption of points as coupon are sent only to the verified mobile number.Social media verification A must for all B2B panel recruits. B2C panelists are encouraged to engage with us on social media platforms. Ongoing response monitoring Use of advanced tools and predictive algorithms to track and remove panellists who do not conform to our quality standards. 1 2 3 4 5
  • 4. Get Access to Niche Audience © 2020 Borderless Access 4 We have the capability to reach niche audience through meticulously profiled panellists and alternate methodologies. Online Shoppers IT Auto Travel Mobile Health and Wellness Finance Online shopping behavior, channel preferences, affinity, product set preferences, purchase frequency and purchase size. Based on the company they work in, employee size, number of PCs, designation, primary IT functions/ responsibility, occupation, industry, and company annual revenue. Type of vehicle owned – Two or Four-wheelers, vehicle brand, segmented by – small, mid- sized, luxury, and SUVs, as well as old / new purchases. Type of air travel – business or leisure, travel frequency, class of air travel, and more. Mobile phone ownership and usage, attributes include mobile brands, smart phone ownership, usage, and more. Physicians, care givers, key opinion leaders (KOL), pharmacists, hospital administrators. Patients profiled on ailment type, lifestyle parameters and healthcare access. Target based decision making criteria, online banking usage, financial products owned.
  • 5. Panel Attributes List © 2020 Borderless Access 5 Basic Demographics • Gender • Age • Marital status • Language • Number of people in household • Education • Household income • Employment status • Own or rent • Region • Ethnicity or race Interests / Hobbies • General • Health / fitness / wellness • Hobbies / leisure • Sports activities Automotive • Types of car • Car brands • Purchase intent • Role in decision Mobile Phone • Mobile phone use • Type of mobile phone • Operating systems • Network providers (India) • Average monthly billing • Contract type • Phone brands Entertainment • Television • Books • Movies • Music Electronics / Gadgets • Electronic devices owned • Online activities • Video game system Travellers • Frequency of travel • Frequency of travel by air • Air travel intenders • Domestic travellers for business / leisure purpose • Overseas travellers for business / leisure purpose • Travel decision makers • Destination travelled in the past 12 months (continents)
  • 6. Panel Attributes List © 2020 Borderless Access 6 Business Professional • Title • Occupation • Functional role • Purchase decision makers • Primary role • Human Resources Role Basic Attributes • Business Type • Industry Segment • Annual Revenue • Number of Employees across locations Expanded Business Variables by Industry • Business services • Computer hardware • Computer software • Consulting • Consumer products • Consumer services • Entertainment / sports • Energy and utilities / oil and gas • Food / beverages / restaurant • Media / publishing • Non-profit • Retail • Telecommunications • Equipment • Travel / hospitality / leisure / legal services Consumer Banking • Type of banks • Financial products • Credit cards • Bank brands • Bitcoins / cryptocurrency • Type of financial account ITDM / IT Roles • Type of IT professional • Developer roles • Primary IT functions / responsibility Healthcare – Physician Panels • Healthcare / medical professionals • Nursing • Physician primary specialty
  • 7. © 2020 Borderless Access 7 Poland 80,000+ Germany 40,000+ UK 60,000+ US 70,000+ Mexico 300,000+ Colombia 130,000+ Brazil 365,000+ Chile 110,000+ Nigeria 100,000+ Argentina 230,000+ South Africa 220,000+ Kenya 40,000+ KSA 175,000+ India 1,200,000+ Egypt 75,000+ UAE 165,000+ Russia 165,000+ China 250,000+ Korea 55,000+ Hong Kong 25,000+ Taiwan 70,000+ Vietnam 55,000+ Philippines 175,000+ Singapore 55,000+ Malaysia 50,000+ Indonesia 260,000+ Thailand 165,000+ New Zealand 55,000+ Australia 90,000+ Turkey 220,000+ 5.11 Million Respondents | 33 Markets | 6.8 Million Surveys Annually Ghana 25,000+ Qatar 20,000+ Kuwait 20,000+
  • 8. North America and LATAM © 2020 Borderless Access 8
  • 9. Argentina 9 Male Female48% 52% 42% 33% Married Single 64% 36% Graduates / Post Graduates Less than Graduate Business owners 4% Currently unemployed 9% Employed - Full Time 30% Employed - Part Time 17% Self-employed 12% Student 13% Others 15% Gender Marital Status Education Employment Status Cities Age Panel Size 230,000+ 24% 33% 24% 11% 8% 15-24 25-34 35-44 45-54 55+ 25% Others © 2020 Borderless Access Others 23% Corrientes 3% Santa Fe 5% Córdoba 10% Buenos Aires 40% Rosario 6% La Plata 3% Avellaneda 5% Mendoza 5%
  • 10. Brazil © 2020 Borderless Access 10 Male Female48% 52% 48% 39% Married Single 54% 46% Post Graduates / Graduates Less than Graduate Others 26% Gender Marital Status Education Employment Status Cities Age Panel Size 365,000+ 26% 30% 23% 14% 7% 15-24 25-34 35-44 45-54 55-64 Fortaleza 4% Salvador 3% Belo Horizonte 6% Rio de Janeiro 14% São Paulo 33% Curitiba 5% Porto Alegre 5% Brasília 4% 13% Others Business Owners 9% Currently unemployed 14% Employed - Full Time 31% Employed - Part Time 14% Self-employed 9% Student 12% Others 11%
  • 11. Chile © 2020 Borderless Access 11 Male Female42% 58% 33% 48% Married Single 64% 36% Post Graduates / Graduates Less than Graduate Others 26% Gender Marital Status Education Employment Status Cities Age Panel Size 110,000+ 24% 34% 22% 14% 6% 15-24 25-34 35-44 45-54 55+ Santiago Metropolis 44% Gran Valparaíso 6% Antofagasta 7% Viña del Mar 11% Gran Concepción 6% 19% Others Business Owners 2% Currently unemployed 9% Employed - Full Time 41% Employed - Part Time 8% Self-employed 8% Student 19% Others 13%
  • 12. Colombia © 2020 Borderless Access 12 Male Female44% 56% 43% 41% Married Single 48% 52% Post Graduates / Graduates Less than Graduate Others 22% Gender Marital Status Education Employment Status Cities Age Panel Size 130,000+ 22% 36% 25% 12% 5% 15-24 25-34 35-44 45-54 55+ Bogotá 38% Medellín 14% Cali 11% Barranquilla 6% Bucaramanga 3% Pereira 3% Ibagué 3% 16% Others Business Owners 3% Currently unemployed 4% Employed - Full Time 36% Employed - Part Time 21% Self-employed 14% Student 18% Others 4%
  • 13. Mexico © 2020 Borderless Access 13 Male Female51% 49% 45% 39% Married Single 54% 46% Post Graduates / Graduates Less than Graduate Others 27% Gender Marital Status Education Employment Status Cities Age Panel Size 300,000+ 29% 32% 22% 12% 5% 15-24 25-34 35-44 45-54 55+ Monterrey 12% Aguascalientes 3% Minatitlán 3% Cancún 3% Mexico City 21% Guadalajara 13% Acapulco 11% El Salto 7% 16% Others Business Owners 5% Currently unemployed 8% Employed - Full Time 41% Employed - Part Time 11% Self-employed 6% Student 21% Others 8%
  • 14. USA © 2020 Borderless Access 14 Male Female36% 64% 34% 47% Married Single 28% 72% Post Graduates / Graduates Less than Graduate Others 25% Gender Marital Status Education Employment Status Cities Age Panel Size 70,000+ 22% 31% 23% 15% 9% 15-24 25-34 35-44 45-54 55-64 19% Others Business Owners 4% Currently unemployed 16% Employed - Full Time 31% Employed - Part Time 9% Self-employed 9% Student 8% Others 23% Los Angeles 13% New York 17% Chicago 11% Houston 8% Philadelphia 6% Phoenix 6% Dallas 5% Seattle 5% San Diego 4%
  • 16. Germany © 2020 Borderless Access 16 Male Female49% 51% 33% 53% Married Single 41% 59% Post Graduates / Graduates Less than Graduate Others 16% Gender Marital Status Education Employment Status Cities Age Panel Size 40,000+ 21% 31% 24% 17% 7% 15-24 25-34 35-44 45-54 55-64 14% Others Business Owners 3% Currently unemployed 7% Employed - Full Time 36% Employed - Part Time 19% Self-employed 4% Student 14% Others 17% Munich 14% Cologne 6% Berlin 17% Frankfurt 11% Hamburg 14% Stuttgart 7% Dortmund 10% Düsseldorf 5%
  • 17. Poland © 2020 Borderless Access 17 Male Female40% 60% 46% 38% Married Single 57% 43% Post Graduates / Graduates Less than Graduate Others 11% Gender Marital Status Education Employment Status Cities Age Panel Size 80,000+ 24% 37% 21% 11% 7% 15-24 25-34 35-44 45-54 55+ Masovian 21% Pomeranian 9% Lesser Poland 13% Lower Silesian 9% Łódzkie 8% Greater Poland 11% Silesian 18% 16% Others Business Owners 3% Currently unemployed 12% Employed - Full Time 46% Employed - Part Time 9% Self-employed 9% Student 8% Others 13%
  • 18. Russia © 2020 Borderless Access 18 Male Female47% 53% 48% 38% Married Single 36% 64% Post Graduates / Graduates Less than Graduate Others 15% Gender Marital Status Education Employment Status Cities Age Panel Size 165,000+ 23% 36% 25% 11% 5% 15-24 25-34 35-44 45-54 55+ Moscow 24% Saint Petersburg 14% Yekaterinburg 11% Chelyabinsk 8% Novosibirsk 8% Krasnodar 7% Nizhny Novgorod 6% Rostov-on-Don 7% 14% Others Business Owners 10% Currently unemployed 7% Employed - Full Time 42% Employed - Part Time 6% Self-employed 8% Student 16% Others 11%
  • 19. Turkey © 2020 Borderless Access 19 Male Female63% 37% 49% 44% Married Single 42% 58% Post Graduates / Graduates Less than Graduate Others 15% Gender Marital Status Education Employment Status Cities Age Panel Size 220,000+ 32% 36% 18% 10% 4% 15-24 25-34 35-44 45-54 55+ Istanbul 35% Ankara 14% Izmir 11% Adana 6% Bursa 8% Antalya 5% Adapazari 3% Balikesir 3% 7% Others Business Owners 5% Currently unemployed 7% Employed - Full Time 40% Employed - Part Time 9% Self-employed 6% Student 27% Others 6%
  • 20. UK © 2020 Borderless Access 20 Male Female39% 61% 45% 41% Married Single 48% 52% Post Graduates / Graduates Less than Graduate Others 17% Gender Marital Status Education Employment Status Cities Age Panel Size 60,000+ 21% 32% 23% 17% 7% 15-24 25-34 35-44 45-54 55-64 14% Others Business Owners 2% Currently unemployed 8% Employed - Full Time 36% Employed - Part Time 16% Self-employed 6% Student 15% Others 17% Birmingham 16% Bradford 9% Manchester 14% London 26% Liverpool 8% Sheffield 6% NewCastle 4%
  • 21. Middle East and Africa © 2020 Borderless Access 21
  • 22. Egypt © 2020 Borderless Access 22 Male Female66% 34% 50% 48% Married Single 33% 67% Post Graduates / Graduates Less than Graduate Others 5% Gender Marital Status Education Employment Status Cities Age Panel Size 75,000+ 24% 39% 24% 11% 2% 15-24 25-34 35-44 45-54 55-64 2% Others Business Owners 1% Currently unemployed 7% Employed - Full Time 38% Employed - Part Time 16% Self-employed 6% Student 11% Others 21% Alexandria 19% Cairo 28% Giza 19% Kaluobiya 14% Sohag 4% Gharbeia 11%
  • 23. Ghana © 2020 Borderless Access 23 Male Female71% 29% 42% 54% Married Single 41% 59% Post Graduates / Graduates Less than Graduate Gender Marital Status Education Employment Status Cities Age Panel Size 25,000+ 28% 36% 24% 9% 3% 15-24 25-34 35-44 45-54 55+ 4% Others Business Owners 3% Currently unemployed 8% Employed - Full Time 46% Employed - Part Time 14% Self-employed 11% Student 14% Others 4% Others 4% Ashanti 19% Upper East 4% Brong Ahafo 8% Central 10% Eastern 9% Greater Accra 19% Northern 8% Upper West 3% Volta 8% Western 8%
  • 24. Kenya © 2020 Borderless Access 24 Male Female54% 46% 33% 58% Married Single 37% 63% Post Graduates / Graduates Less than Graduate Gender Marital Status Education Employment Status Cities Age Panel Size 40,000+ 28% 36% 21% 13% 2% 15-24 25-34 35-44 45-54 55+ 9% Others Business Owners 1% Currently unemployed 7% Employed - Full Time 42% Employed - Part Time 16% Self-employed 8% Student 24% Others 2% Others 9% Mombasa 18% Nairobi Metro 26% Nairobi 24% Kisumu 7% Nakuru 6% Eldoret 5% Kehancha 3% Ruiru 2%
  • 25. KSA © 2020 Borderless Access 25 Male Female69% 31% 58% 38% Married Single 48% 52% Post Graduates / Graduates Less than Graduate Gender Marital Status Education Employment Status Cities Age Panel Size 175,000+ 29% 37% 22% 9% 3% 15-24 25-34 35-44 45-54 55+ Damman 8% Makkah 9% Jeddah 19% Riyadh 34% Madinah 6% Buraydah 3% At Taif 3% Khubar 4% Hufuf 4% Al Qatif 3% 4% Others Business Owners 2% Currently unemployed 10% Employed - Full Time 57% Employed - Part Time 5% Self-employed 6% Student 13% Others 7% Others 7%
  • 26. Kuwait © 2020 Borderless Access 26 Male Female69% 31% 56% 42% Married Single 37% 63% Post Graduates / Graduates Less than Graduate Others 7% Gender Marital Status Education Employment Status Cities Age Panel Size 20,000+ 14% 44% 26% 14% 2% 15-24 25-34 35-44 45-54 55+ Farwaniya 22% Kuwait City - Capital Region 16% Mubarak Al Kabeer 6% Jahra 8% Hawalli 24% Ahmadi 17% 2% Others Business Owners 6% Currently unemployed 4% Employed - Full Time 59% Employed - Part Time 8% Self-employed 6% Student 9% Others 8%
  • 27. Nigeria © 2020 Borderless Access 27 Male Female67% 33% 40% 57% Married Single 33% 67% Post Graduates / Graduates Less than Graduate Others 22% Gender Marital Status Education Employment Status Cities Age Panel Size 100,000+ 24% 47% 21% 7% 1% 15-24 25-34 35-44 45-54 55+ Lagos 42% Abuja 13% Port Harcourt 9% Ibadan 5% Benin City 5% Aba 4% 3% Others Business Owners 2% Currently unemployed 12% Employed - Full Time 33% Employed - Part Time 13% Self-employed 19% Student 19% Others 2%
  • 28. Qatar © 2020 Borderless Access 28 Male Female71% 29% 60% 34% Married Single 38% 62% Post Graduates / Graduates Less than Graduate Gender Marital Status Education Employment Status Cities Age Panel Size 20,000+ 13% 47% 25% 11% 4% 15-24 25-34 35-44 45-54 55+ Al Daayen 4%Umm Slal 6% Al Wakra 8% Al Shamal 5% Al Rayyan 23% Al Khor 8% 5% Others Business Owners 3% Currently unemployed 5% Employed - Full Time 65% Employed - Part Time 8% Self-employed 2% Student 9% Others 8% Others 6% Doha 40%
  • 29. South Africa © 2020 Borderless Access 29 Male Female44% 56% 48% 39% Married Single 67% 33% Post Graduates / Graduates Less than Graduate Others 18% Gender Marital Status Education Employment Status Cities Age Panel Size 220,000+ 21% 35% 25% 14% 5% 15-24 25-34 35-44 45-54 55+ Johannesburg 21% Cape Town 20% Durban 14% Pretoria 12% Alberton 2% Port Elizabeth 5% Benoni 4% Bloemfontein 4% 13% Others Business Owners 4% Currently unemployed 7% Employed - Full Time 49% Employed - Part Time 6% Self-employed 12% Student 16% Others 6%
  • 30. UAE © 2020 Borderless Access 30 Male Female67% 33% 56% 41% Married Single 35% 65% Post Graduates / Graduates Less than Graduate Others 2% Gender Marital Status Education Employment Status Cities Age Panel Size 165,000+ 20% 45% 25% 8% 2% 15-24 25-34 35-44 45-54 55+ 3% Others Business Owners 3% Currently unemployed 10% Employed - Full Time 66% Employed - Part Time 3% Self-employed 4% Student 6% Others 8% Ajman 3% Al Ain 4% Dubai 40% Fujairah 3% Ras al-Khaimah 5% Umm al-Quwain 1% Sharjah 12% Abu Dhabi 30%
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  • 32. Australia © 2020 Borderless Access 32 Male Female37% 63% 46% 31% Married Single 66% 34% Post Graduates / Graduates Less than Graduate Gender Marital Status Education Employment Status Cities Age Panel Size 90,000 22% 27% 22% 18% 11% 15-24 25-34 35-44 45-54 55+ Australian Capital Territory 3% Queensland 22% Western Australia 7% Victoria 25% Tasmania 2% South Australia 11% Northern Territory 2% New South Wales 28% 23% Others Business Owners 1% Currently unemployed 16% Employed - Full Time 26% Employed - Part Time 19% Self-employed 6% Student 10% Others 22%
  • 33. China © 2020 Borderless Access 33 Male Female57% 43% 55% 39% Married Single 28% 72% Post Graduates / Graduates Less than Graduate Others 23% Gender Marital Status Education Employment Status Cities Age Panel Size 250,000+ 24% 37% 28% 9% 2% 15-24 25-34 35-44 45-54 55+ 6% Others Business Owners 6% Currently unemployed 3% Employed - Full Time 58% Employed - Part Time 8% Self-employed 6% Student 15% Others 4% Shanghai 15% Beijing 15% Shenzhen 13% Guangzhou 13% Tianjin 4% Chengdu 6% Chongqing 7% Wuhan 4%
  • 34. Hong Kong © 2020 Borderless Access 34 Male Female41% 59% 51% 47% Married Single 23% 77% Post Graduates / Graduates Less than Graduate Others 2% Gender Marital Status Education Employment Status Cities Age Panel Size 25,000+ 16% 34% 32% 14% 4% 15-24 25-34 35-44 45-54 55-64 2% Others Business Owners 5% Currently unemployed 2% Employed - Full Time 64% Employed - Part Time 6% Self-employed 5% Student 14% Others 4% Hong Kong Island 18% Kowloon 42% New Territories East 19% New Territories West 21%
  • 35. India © 2020 Borderless Access 35 Male Female67% 33% 48% 49% Married Single 26% 74% Post Graduates / Graduates Less than Graduate Others 20% Gender Marital Status Education Employment Status Cities Age Panel Size 1,200,000+ 29% 38% 17% 13% 3% 15-24 25-34 35-44 45-54 55+ Delhi 16% Ahmedabad 4% Kolkata 9% Mumbai 15% Pune 6% Chennai 9% Bangalore 11% Hyderabad 10% 3% Others Business Owners 8% Currently unemployed 7% Employed - Full Time 44% Employed - Part Time 4% Self-employed 8% Student 24% Others 5%
  • 36. Indonesia © 2020 Borderless Access 36 Male Female67% 33% 44% 48% Married Single 54% 46% Post Graduates / Graduates Less than Graduate Others 29% Gender Marital Status Education Employment Status Cities Age Panel Size 260,000+ 35% 39% 18% 6% 2% 15-24 25-34 35-44 45-54 55+ Banda Aceh 5% Banjarmasin 3% Ambon 13% Balikpapan 5% Jakarta 21% Bandung 9% Bandar Lampung 4% Surabaya 11% 8% Others Business Owners 4% Currently unemployed 6% Employed - Full Time 38% Employed - Part Time 6% Self-employed 13% Student 28% Others 5%
  • 37. Malaysia © 2020 Borderless Access 37 Male Female44% 56% 47% 52% Married Single 29% 71% Post Graduates / Graduates Less than Graduate Gender Marital Status Education Employment Status Cities Age Panel Size 50,000+ 19% 35% 28% 14% 4% 15-24 25-34 35-44 45-54 55-64 1% Others Business Owners 3% Currently unemployed 2% Employed - Full Time 57% Employed - Part Time 4% Self-employed 14% Student 17% Others 3% Others 2% Johor 11% Kuala Lumpur 19% Kedah 5% Kelantan 2% Melaka 3% Negeri Sembilan 5% Pahang 2% Perak 7% Perlis 1% Pulau Pinang 7% Sarawak 3% Selangor 29% Sabah 2% Terengganu 2%
  • 38. New Zealand © 2020 Borderless Access 38 Male Female34% 66% 46% 36% Married Single 71% 29% Post Graduates / Graduates Less than Graduate Others 9% Gender Marital Status Education Employment Status Cities Age Panel Size 55,000+ 18% 26% 24% 24% 8% 15-24 25-34 35-44 45-54 55+ Auckland 36% Gisborne 2% Nelson/ Marlborough 2% Hamilton 7% Bay of Plenty 6% Otago 4% Hawke's Bay 4% Northland 2% Taranaki 3% Canterbury/ Westcoast 7% Wellington 11% Southland 3% Menawatu Wanganui 4% 18% Others Business Owners 2% Currently unemployed 13% Employed - Full Time 37% Employed - Part Time 16% Self-employed 8% Student 8% Others 16
  • 39. Philippines © 2020 Borderless Access 39 Male Female33% 67% 52% 41% Married Single 40% 60% Post Graduates / Graduates Less than Graduate Others 13% Gender Marital Status Education Employment Status Cities Age Panel Size 175,000+ 25% 40% 19% 10% 6% 15-24 25-34 35-44 45-54 55+ Metro Manila (NCR) 41% Calabarzon 11% Central Visayas 12% Northern Mindanao 6% Davao Region 6% Western Visayas 4% Central Luzon 7% 7% Others Business Owners 3% Currently unemployed 15% Employed - Full Time 44% Employed - Part Time 9% Self-employed 14% Student 8% Others 7%
  • 40. Singapore © 2020 Borderless Access 40 Male Female53% 47% 48% 47% Married Single 57% 43% Post Graduates / Graduates Less than Graduate Others 25% Gender Marital Status Education Employment Status Cities Age Panel Size 55,000+ 22% 36% 22% 16% 4% 15-24 25-34 35-44 45-54 55+ Singapore (Downtown Core) 10% Ang Mo Kio 10% Singapore River 7% Woodlands 6% Jurong West 5% Tampines 5% Hougang 5% Yishun 4% Bedok 4% Sengkang 3% Toa Payoh 3% Pasir Ris 3% Bukit Panjang 3% Newton 3% Tanglin 2% Punggol 2% 5% Others Business Owners 1% Currently unemployed 8% Employed - Full Time 55% Employed - Part Time 7% Self-employed 7% Student 16% Others 6%
  • 41. South Korea © 2020 Borderless Access 41 Male Female48% 52% 48% 46% Married Single 42% 58% Post Graduates / Graduates Less than Graduate Others 22% Gender Marital Status Education Employment Status Cities Age Panel Size 55,000+ 26% 32% 24% 15% 3% 15-24 25-34 35-44 45-54 55+ Seoul 28% Busan 12% Daegu 6% Incheon 8% Daejeon 6% Suwon 6% Andong 8% Ansan 4% 6% Others Business Owners 7% Currently unemployed 6% Employed - Full Time 44% Employed - Part Time 11% Self-employed 7% Student 18% Others 7%
  • 42. Taiwan © 2020 Borderless Access 42 Male Female58% 42% 42% 47% Married Single 62% 38% Post Graduates / Graduates Less than Graduate Others 18% Gender Marital Status Education Employment Status Cities Age Panel Size 70,000+ 28% 37% 21% 10% 4% 15-24 25-34 35-44 45-54 55+ Taipei 33% Kaohsiung 12% Taichung 14% Tainan 11% Taoyuan 12% 11% Others Business Owners 4% Currently unemployed 6% Employed - Full Time 44% Employed - Part Time 7% Self-employed 5% Student 28% Others 6%
  • 43. Thailand © 2020 Borderless Access 43 Male Female51% 49% 37% 54% Married Single 60% 40% Post Graduates / Graduates Less than Graduate Others 36% Gender Marital Status Education Employment Status Cities Age Panel Size 165,000+ 33% 40% 18% 7% 2% 15-24 25-34 35-44 45-54 55+ Ban Lam Luk Ka 2% Chiang Mai 5% Chon Buri 5% Samut Prakan 4% Nakhon Ratchasima 3% Phra Nakhon Si Ayutthaya 3% Khon Kaen 2% Mueang Nonthaburi 2% Chiang Rai 2% Bangkok 26% Rayong 2% Nakhon Pathom 2% Phuket 2% Songkhla 2% Udon Thani 2% 9% Others Business Owners 4% Currently unemployed 12% Employed - Full Time 48% Employed - Part Time 6% Self-employed 7% Student 18% Others 5%
  • 44. Vietnam © 2020 Borderless Access 44 Male Female57% 43% 45% 52% Married Single 20% 80% Post Graduates / Graduates Less than Graduate Others 16% Gender Marital Status Education Employment Status Cities Age Panel Size 55,000+ 35% 32% 22% 9% 2% 15-24 25-34 35-44 45-54 55-64 3% Others Business Owners 2% Currently unemployed 8% Employed - Full Time 44% Employed - Part Time 13% Self-employed 10% Student 22% Others 2% Hanoi City 22% Ho Chi Minh City 29% Da Nang City 6% Hai Phong City 4% Red River Delta 19% Mekong River Delta 4%
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