GWI
Coronavirus Research | July 2020
Multi-market research wave 5
GWI Coronavirus Research July 2020 | Contents 2
Contents
CONTENTS ........................................................................... 2
INTRODUCTION .................................................................. 3
KEY INSIGHTS ...................................................................... 5
LEVELS OF CONCERN (OWN COUNTRY) ........................ 10
LEVELS OF CONCERN (GLOBAL)...................................... 12
LEVELS OF CONCERN: OWN COUNTRY VS GLOBAL ..... 14
LEVELS OF CONCERN ABOUT A SECOND WAVE ........... 15
EXPECTED LENGTH OF OUTBREAK (OWN COUNTRY) .. 16
EXPECTED LENGTH OF OUTBREAK (GLOBAL) ............... 18
EXPECTED LENGTH OF OUTBREAK: OWN COUNTRY VS
GLOBALLY .......................................................................... 20
LEVELS OF OPTIMISM (OWN COUNTRY) ........................ 21
LEVELS OF OPTIMISM (GLOBAL) ...................................... 23
LEVELS OF OPTIMISM: OWN COUNTRY VS GLOBAL ..... 25
IMPACT ON PERSONAL / HOUSEHOLD FINANCES ........ 26
IMPACT ON COUNTRY’S ECONOMY ............................... 28
IMPACT ON PERSONAL FINANCES VS COUNTRY’S
ECONOMY ......................................................................... 30
IMPACT ON GLOBAL ECONOMY ..................................... 31
PERSONAL FINANCIAL RESPONSE .................................. 33
IMPACT ON JOB ................................................................ 35
DELAYED PURCHASES ...................................................... 37
EXPECTED LENGTH OF PURCHASE DELAY ..................... 41
PRIORITIZATION OF DELAYED PURCHASES ................... 43
IN-HOME AND MEDIA CONSUMPTION CHANGES ......... 45
IN-HOME BEHAVIORS AND MEDIA CONSUMPTION –
PERMANENT CHANGES EXPECTED ................................. 48
DEVICE USAGE .................................................................. 51
LEVELS OF APPROVAL FOR BRAND ACTIVITIES:
RUNNING “NORMAL” ADVERTISING CAMPAIGNS ......... 54
LEVELS OF APPROVAL FOR BRAND ACTIVITIES:
RUNNING ADVERTISING IN RESPONSE TO CV-19 .......... 56
LEVELS OF APPROVAL FOR BRAND ACTIVITIES:
RUNNING PROMOTIONS FOR CUSTOMERS ................... 58
LEVELS OF APPROVAL FOR BRAND ACTIVITIES:
CONTACTING CUSTOMERS ABOUT CV-19 RESPONSE .. 60
LEVELS OF APPROVAL FOR BRAND ACTIVITIES:
OFFERING FLEXIBLE PAYMENT TERMS ........................... 62
LEVELS OF SUPPORT FOR INITIATIVES – TRACING APPS64
LEVELS OF SUPPORT FOR INITIATIVES –
DEMONSTRATIONS IN PUBLIC PLACES ........................... 65
LEVELS OF SUPPORT FOR INITIATIVES – REOPENING
LARGE INDOOR VENUES .................................................. 66
VACATION TYPES IN NEXT YEAR ..................................... 67
POST-OUTBREAK LEISURE BEHAVIORS ........................... 69
POST-OUTBREAK BEHAVIOR INCREASES ....................... 71
..................................................................................................................73
LEVELS OF INTEREST – ENROLLING IN ONLINE LEARNING
............................................................................................ 74
LEVELS OF INTEREST – WORKING FROM HOME
PERMANENTLY .................................................................. 75
LEVELS OF INTEREST – USING ALTERNATIVES TO PUBLIC
TRANSPORT ....................................................................... 76
BRAND RESPONSES TO BLACK LIVES MATTER
MOVEMENT ....................................................................... 77
IMPORTANCE OF BLACK LIVES MATTER MOVEMENT ... 79
CHANGING IMPORTANCE: COMPANIES BEHAVING
MORE SUSTAINABLY ......................................................... 80
..................................................................................................................81
CHANGING IMPORTANCE: REDUCING CARBON
FOOTPRINT / ENVIRONMENTAL IMPACT ........................ 82
GWI Coronavirus Research July 2020 | Introduction 3
Introduction
Our fifth wave of coronavirus-focused research took place in polarized times; China, Australia, India, Spain were just some of the
countries re-imposing local lockdowns following isolated outbreaks, the U.S. was seeing a surge in cases in some regions, much of
Europe was attempting to open to tourists by operating travel “corridors”, and parts of Latin America appeared to be struggling to
contain the spread.
With many countries feeling that the worst was already over in late May when we conducted wave 4 of our research, how have
these developments impacted sentiment and behaviors across 18 countries? Are feelings of hope and optimism as polarized as the
status of the virus’ spread? Have regional outbreaks or setbacks impacted the consumer’s outlook on the global situation? And how
are people feeling about the Black Lives Matter movement?
Fielded in 18 countries between June 29 to July 2, our fifth research wave takes the pulse in Australia, Belgium, Brazil, China,
France, Germany, India, Italy, Japan, New Zealand, the Philippines, Poland, Romania, South Africa, Singapore, Spain, the UK and
the U.S. We provide an updated view on many of the themes covered previously, as well as examining new topics such as worries
over a second wave, and reactions to initiatives such as track-and-trace.
As with all of our dedicated research on this topic, the data and reports are free for everyone to access. You can share this report,
cite it in your own studies / releases, or analyze the data yourself in our platform. And you can keep up-to-date with all of our
releases via our portal.
Jason Mander, Chief Research Officer
Sample Sizes and Weighting
All stats in this report are from a GlobalWebIndex custom recontact survey among 15,271 internet users aged 16-64. By country, it
includes the following sample sizes: 1,001 (Australia), 521 (Belgium), 1,008 (Brazil), 1,006 (China), 1,036 (France), 1,039 (Germany),
1,029 (India), 1,029 (Italy), 900 (Japan), 518 (New Zealand), 754 (Philippines), 531 (Poland), 502 (Romania), 506 (Singapore), 509
(South Africa), 1,013 (Spain), 1,012 (UK) and 1,357 (U.S.).
We looked to collect 1,250, 1,000, 750 or 500 responses per country, allowing us to be in-field for the shortest possible time and
bring the results to you as quickly as possible. We have weighted the responses in each country according to our usual age, gender
and education framework. In some countries, we collected relatively few responses in the 16-24 or 55-64 age groups; where
necessary, we have therefore combined weightings with adjacent age groups. This is in the interests of speed so that we can bring
you results as soon as possible, rather than wait for all quotas to fill up.
Trended Data
This is our fifth release of multi-market data, following Wave 1 which was fielded in mid-March in 13 countries (Australia, Brazil,
China, France, Germany, Italy, Japan, Philippines, Singapore, South Africa, Spain, UK, and U.S.A.); Waves 2 and 3 which were
fielded in 17 countries (the same 13, plus Canada, India, Ireland, and New Zealand) between March 31 – April 2 and April 22 – 27
respectively; and Wave 4 (in the same 17 countries as Waves 2 and 3, plus Belgium, Poland, and Romania, between May 19 – 26).
Most of the questions included in Wave 5 were also included in Waves 1, 2, 3, and/or 4; therefore, where possible we have shown
trended data.
GWI Coronavirus Research July 2020 | Introduction 4
Accessing the Data Behind this Report
GWI wants anyone who needs this data to have access to it. Therefore, anybody – regardless of whether they are a client or not –
can access the results from this survey in our platform.
Clients can access it via their usual account, and will find it under the “Custom” section; because all respondents have previously
completed our Core survey, you can cross-analyze the results of the two surveys. Non-users can sign up for a free account and will
be able to analyze the results of this study.
NOTE: Some totals in this report might exceed 100% due to rounding.
Audience Definitions
Generations:
• Gen Z – 16-23 years-old
• Millennials – 24-37 years-old
• Gen X – 38-56 years-old
• Baby boomers – 57-64 years-old
Income (based on annual household income):
• Lower income – lowest quartile of household incomes
• Higher income – top quartile of household incomes
Country Abbreviations
In tables which display county-level data, we have abbreviated country names as follows:
All Global average across all 18 markets
AU Australia
BE Belgium
BR Brazil
CN China
FR France
DE Germany
IN India
IT Italy
JP Japan
NZ New Zealand
PH Philippines
PL Poland
RO Romania
SG Singapore
ZA South Africa
SP Spain
UK United Kingdom
USA U.S.
GWI Coronavirus Research July 2020 | Key Insights 5
Key Insights
At a glance…
• Concern about the national situation is at its lowest level yet in 6 of the 15 markets tracked since March.
• Consumers in every single country now expect the outbreak to last longer than they previously thought it would.
• Levels of optimism are stable or falling, with Australia, New Zealand and the U.S. having seen some of the biggest decreases
wave-on-wave.
• Two thirds of consumers are extremely, very, or quite concerned about a second wave of the pandemic.
• There’s greater positivity about personal finances; fewer people in most countries now expect the pandemic to have a big or
dramatic impact on their personal finances.
• Delaying big purchases remains the most common financial response to the crisis; 80% globally say they are doing this. That’s
against a backdrop of nearly 6 in 10 globally saying the outbreak has had some financial impact on their job.
• The activities which people say they are most likely to continue spending more time doing after the outbreak are socializing
as a family (29%), watching more videos (24%), watching more shows on streaming services (24%), spending more time
cooking (23%), and watching more news (23%).
• Fewer than 15% of consumers disapprove of brands advertising as normal.
• Almost 3 in 4 support governments using track-and-trace systems, but there’s stronger opposition in parts of Europe.
• Views about reopening large indoor venues are polarized; 4 in 10 support this, but the same number oppose it.
• Vacation plans for the next year are dominated by domestic vacations (48%) and local staycations (32%).
• Out-of-home leisure spend remains under strong scrutiny; 4 in 10 expect to eat out at restaurants less frequently after the
pandemic is over – a figure which is trending up in 13 of 18 markets.
• Globally, 50% expect to shop online more frequently after the outbreak is over.
• 6 in 10 Gen Zs and Millennials express strong interest in enrolling in online learning programs.
• Over 40% of consumers in 16 of the 18 markets surveyed express a strong interest in working from home permanently.
• Around 20% of people in countries like the U.S. and UK say that the Black Lives Matter movement has made the issue of
tackling racism more important for them – with a further third stating that it was already important to them prior to this.
• When asked what brands should be doing to support the Black Lives Matter movement, 85% of consumers think they should
undertake at least one of the eight initiatives that were listed. The most popular are supporting local / national community
initiatives, showing support via social media, and ensuring diversity in their leadership / management teams.
• Almost 3 in 4 think it’s more important than before the outbreak for companies to behave more sustainably. A similar
proportion say the same about reducing their personal carbon footprint.
GWI Coronavirus Research July 2020 | Key Insights 6
In detail….
Levels of domestic concern have dropped to their lowest levels yet in some countries
• Across the five waves of research – spanning mid-March to early July – some countries are now recording their lowest levels of
concern about their own domestic situation. These include France, Germany, Italy, New Zealand, Spain, and the UK. Most of
these places are seeing sustained success in reducing cases / deaths. However, the pattern in Australia and China shows how
quickly concern can begin to spike again; both countries have seen a 4-5 point increase in concern since May, driven in part by
the reintroduction of restrictions in areas such as Beijing, Victoria and New South Wales. Evidently, levels of concern are volatile
and will reflect national / local developments very rapidly.
• Concern remains highest in places like Brazil and India, both of which have seen struggles in limiting transmission.
Interestingly, the U.S. has seen a 5-point drop since May, despite record levels of new cases. However, this is being driven
heavily by political affiliation; while over 70% of Democrat voters report being very or extremely concerned, this drops to just a
third among Republican voters.
• Levels of concern about the global situation remain consistently high everywhere. Belgium, France, Germany, Poland, Romania
and the U.S. record the lowest levels of about 65-75%. But the figure still passes 90% in 5 of the 18 markets surveyed. Brazil,
India and the Philippines are the only places where concern about one’s own country is equal to, or higher than, concern about
the global situation.
Consumers are expecting the situation to last an increasingly long time
• In every country surveyed, the length of time that consumers expect their national outbreak to last for is growing. Since May,
the numbers thinking it will last 6 months or longer in their country have risen by more than 10 points in Australia, Belgium,
Brazil, China, India, Japan, New Zealand, Poland, Romania, Spain and the U.S.
• Two of the biggest wave-on-wave increases are in China (+14 points) and New Zealand (+17 points), indicating that
expectations have sobered even in the countries which have had the most “success”.
• Overall, every country still expects the global situation to take longer to resolve than the one in their own country, but the
differences are becoming smaller.
Optimism is stable or falling
• Since May, most countries have seen little change in their levels of optimism about overcoming the virus in their own country.
However, there have been notable declines in Australia (-9 points), New Zealand (-10 points), Romania (-15 points) and the U.S.
(-9 points). In part, this could be driven by the longer periods of time that people think will now be needed. But with countries
like the UK and Spain also seeing drops, we could also be seeing the impact of lingering localized outbreaks, or in the case of
the U.S. the failure of certain regions to suppress transmission.
• China remains by far the most optimistic about its domestic situation on 90%. New Zealand is second on 73%. Figures in many
other markets are between 30% - 50%.
• Compared to the figures recorded in May’s wave 4, optimism about the global outlook is down a little in almost every country.
More pronounced drops are seen in New Zealand, Poland and Romania.
Personal financial outlooks remain broadly positive
• When asked about the impact that they expect coronavirus to have on their personal / household finances, outlooks are still
broadly optimistic. In just 3 of the 18 countries do more than half of consumers expect it to have a big or dramatic impact; and
in 5 of the 18 (China, France, Germany, UK and the U.S.) it’s a quarter or less who are expecting a hit of this magnitude.
GWI Coronavirus Research July 2020 | Key Insights 7
• Figures in most countries have improved a little since May, with the U.S. in particular seeing a 10-point reduction in those
expecting a big or dramatic impact.
• In terms of the impact predicted for the national economy, figures in all countries remain high but are typically trending down a
little. That said, there are still 7 countries among the 18 where 90%+ think their economy will take a big hit.
• Germany and China stand out as exceptions for being the most positive about their national economies.
8 in 10 globally delaying big purchases
• Across the 18 markets surveyed, an average of 80% say they are delaying big purchases because of the pandemic, a behavior
which is most common among Gen Z, Millennials and the higher income group.
• Under 10% say that they’re not making any financial change, with other popular measures being to cut back on day-to-day
purchases, reduce regular financial commitments, use savings, and wait for products to be on promotion.
• These financial decisions need to be viewed against the backdrop of about 6 in 10 reporting that the outbreak has had some
impact on their job. By far the most common are paycuts (27%) and reductions in working hours (24%). Both of these see their
highest figures among Gen Z, Millennials and the higher income group – the same three cohorts who were most likely to be
delaying big purchases.
• By age, Gen Z and Millennials stand out for being disproportionately impacted by most of the factors impacting jobs. However,
among the two, Millennials are more likely to have had bonuses or payrises deferred, whereas Gen Z are more likely to have
lost their job.
Videos, streaming services, cooking and socializing could see the biggest post-pandemic boosts
• Since the first two waves of this research in March and April, the numbers saying they are spending more time doing various in-
home and media consumption activities have trended downwards. While this is to be expected as restrictions eventually ease
and people become bored of certain activities, there are strong indications that some areas in particular could be set to enjoy a
permanent post-pandemic boost.
• When asked which activities they intend to carry on with after the pandemic is over, it’s over 20% globally who say they will
spend more time cooking (23%), spend more time socializing as a family (29%), watch more news coverage (23%), watch more
content on streaming services (23%), or watch more videos (24%). Social media services and messaging apps also score close
to 20% each.
• There are nevertheless very strong age effects at work here. For example, while 11% of Gen Z expect to spend more time in the
future creating or uploading videos to services such as YouTube or TikTok, that falls to 1% among Boomers. The youngest
generation is also twice as likely as the oldest to say they will spend more time on Netflix-style services. In fact, Gen Z typically
takes the lead for most digital-oriented activities – which makes the fairly equal generational numbers seen for cooking rather
noteworthy.
3 in 4 support track-and-trace systems
• There is broad support for the usage of tracing apps in order to identify and contact people who have potentially been
exposed to coronavirus. Almost 3 in 4 globally say they support this initiative, peaking at over 90% in China, India and the
Philippines.
• Support is lowest in several European countries, where privacy concerns are typically some of the most pronounced. Figures
dip below 50% in Belgium, France, Japan, and Poland. Indeed, “strong” opposition is most visible in France and Poland, at
around a quarter.
GWI Coronavirus Research July 2020 | Key Insights 8
• This activity also polarizes people by age; whereas 45% of Gen Z express strong support, that figure drops to 30% among
Boomers.
4 in 10 don’t support large indoor venues being reopened
• Attitudes towards the reopening of large indoor venues are starkly polarized; while 4 in 10 globally say they support this, the
same number say they oppose it.
• High levels of opposition in places like Brazil (54%) and the U.S. (53%) are perhaps to be expected in the context of persistently
high transmission rates in both countries. But with figures similarly high in a range of other countries – including Germany
(50%), the Philippines (51%), Singapore (50%), South Africa (54%), and the UK (55%) – it’s clear that consumers in many places
remain uncertain about this.
• It’s telling that opposition increases in line with age – reflecting a trend we’ve seen throughout this research whereby health
and safety concerns become more pronounced as generational age increases.
Vacation plans dominated by domestic trips and staycations
• When asked about their vacation plans in the next 12 months, consumers are most likely to take domestic vacations (48%) or
local staycations (32%). These numbers dwarf the equivalents for foreign short-haul (13%) or foreign long-haul (9%) trips.
• Domestic vacations are most popular of all in parts of Europe (including Romania, Spain and Poland), as well as in China and
New Zealand. The latter suggests that consumers in “successful” countries are looking inwards to ensure their plans are
safeguarded.
• Short-haul trips to another country have particular appeal in Singapore (as might be expected for geographical reasons) as well
as parts of Europe – including Belgium, Germany, and the UK. This suggests that current efforts to establish travel “corridors”
will be particularly appealing for Europeans in the northern part of the continent looking for escapes to sunnier climes in the
southern part.
• Compared to wave 4 in mid-May, the appeal of domestic vacations has remained stable in most countries, showing that
intentions aren’t changing even as many countries ease their lockdowns and attempt to restart a degree of international travel.
Out-of-home leisure spending is being scrutinized – whereas online shopping is up
• Around 7 in 10 consumers expect to make changes to their post-pandemic out-of-home leisure spending, based on the five
activities we asked about (cinema, bars, fast-food, restaurants, gyms). From the consumer’s perspective, the most likely
changes they would make are eating at restaurants less frequently (42%) and visiting the cinema less often (38%).
• Across April, May and June, we have asked consumers about their intentions in this area on three separate occasions. For out-
of-home leisure providers, the concerning trend here will be that figures are climbing in several markets. If we take restaurants
as an example, figures have continued to move up consistently in 12 of the 18 markets. That means that even as many countries
on the list have begun to reopen venues, consumers remain reticent. A marketing proposition which emphasizes safety, value
and promotions could well be required, based on the sentiment we’ve seen elsewhere in this research.
• In contrast, the numbers saying they expect to shop online more frequently in the future are consistently trending up in most
countries. It’s about 50% globally who say they will do this, with 16 of the 18 countries surveyed recording their highest figure
for this activity in this most recent wave.
GWI Coronavirus Research July 2020 | Key Insights 9
Online learning, permanent work-from-home and public transport alternatives all register strong interest
• 6 in 10 Gen Zs and Millennials say they are extremely or very interested in enrolling in online learning programs and courses.
What’s more, just 15% of Gen Zs say they are not interested (compared to over 60% of Boomers). Perhaps unsurprisingly, such
a proposition is of most interest in markets like India, Brazil and the Philippines, all of which are home to comparatively young,
aspirational online populations.
• With many companies having to switch to remote working during the pandemic, it’s just over 50% of consumers who express
strong interest in working from home permanently. Age is once again a significant determiner over this, but only in two
countries (Belgium and Japan) do levels of strong interest fall below 40%.
• There’s also considerable enthusiasm for using alternatives to public transport; just 20% say they aren’t interested in this,
although this figure doubles to more than 40% among Boomers.
The Black Lives Matter movement has made a strong impact on consumers
• Across the 18 countries surveyed, it’s 44% who say the Black Lives Matter movement has made tackling racism a more
important issue for them. A further quarter say it was already important to them.
• Figures can look very different at a country level, however, with the global numbers being influenced heavily by positive
reactions in countries like China and India. In the U.S., where the movement first gathered pace earlier this year, it’s about 1 in 5
who say it has become more important to them, with about a third saying it already mattered previously. Broadly comparable
numbers are found in other countries which have seen widespread protests, including Australia and the UK.
• Generational differences are pronounced here. Whereas just 13% of Gen Z say it hasn’t made it a more important issue for
them, that climbs to 35% among Boomers.
• When asked what brands should be doing to support the Black Lives Matter movement, about 85% of consumers said they
should be doing at least one of the eight initiatives asked about, with the strongest figures seen for supporting local / national
community initiatives, showing support on social media, and ensuring diversity in leadership teams. In the U.S. specifically,
however, it was reviewing hiring policies which attracted the most support.
Consumers express stronger support for sustainability
• It’s 72% of consumers who think that it’s now more important than before for brands to behave more sustainably. The figure
peaks at almost 80% among Gen Z. Perhaps just as significantly, only 5% globally think it’s now less important, and there’s only
1 country among the 18 surveyed where this figure passes 10% (Romania).
• Between waves 4 and 5 (May to June), figures have held relatively stable in most markets. There have been more notable
declines in places such as Japan (-17 points), Romania (-18 points) and the U.S. (-8 points) but it will be encouraging for
campaigners that attitudes are holding steady in most places despite lockdowns being eased and some consumers hoping
that they will soon get back to “normal”.
• Consumers have similarly high expectations for their own behaviors. Some 71% think it’s now more important for them to
reduce their own carbon footprint / environmental impact; Gen Z is once again at the forefront, on almost 80%. Certainly, the
numbers saying this is less important than before are a little higher compared to the question about corporate responsibility;
four countries (France, Germany, Japan and Romania) now move above the 10% mark. Once again, however, we see numbers
holding relatively steady compared to June, and it’s significant that most consumers are willing to accept a level of personal
responsibility which is broadly analogous to the expectations they are placing on companies.
GWI Coronavirus Research July 2020 | Levels of Concern (Own Country) 10
Levels of Concern (Own Country)
% who say they’re concerned about the coronavirus / COVID-19 situation in their country
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Not at all concerned
8
5
4
1
14
5
8
1
6
5
10
1
7
4
1
1
3
5
6
A little concerned
25
29
37
5
41
28
42
3
30
17
42
2
35
22
13
7
19
22
21
Quite concerned
21
31
29
12
26
31
27
7
34
29
26
11
29
35
32
13
32
27
20
Very concerned
23
21
21
42
15
21
18
30
20
26
14
27
19
26
27
30
32
31
26
Extremely concerned
24
15
9
40
4
15
6
59
10
23
8
59
10
14
26
49
15
16
27
% who say they’re concerned about the coronavirus / COVID-19 situation in their country*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Not at all concerned
4
8
9
7
7
8
6
9
A little concerned
25
25
26
23
26
24
23
28
Quite concerned
15
22
22
27
22
20
22
16
Very concerned
25
22
23
25
21
24
24
24
Extremely concerned
32
23
21
19
24
23
26
24
Question: How concerned are you about the coronavirus / COVID-19 situation in your country?
GWI Coronavirus Research July 2020 | Levels of Concern (Own Country): Trended Data 11
Levels of Concern (Own Country): Trended Data
% who say they’re extremely, very, or quite concerned about the coronavirus / COVID-19 situation in their country
Question: How concerned are you about the coronavirus / COVID-19 situation in your country? Chart illustrates combined responses for Extremely concerned, Very concerned, Quite concerned
72
90
55
79
63
87
74
97
85
87
84
77
74
83
94
56
84
71
96
87
87
83
98
89
95
88
87
83
74
90
51
80
62
96
82
88
62
98
93
94
88
85
83
61
65
92
41
74
55
94
74
80
49
96
57
76
85
90
85
80
79
66
58
93
45
67
50
96
64
78
48
97
58
74
85
91
79
74 74
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Concern (Global) 12
Levels of Concern (Global)
% who say they’re concerned about the coronavirus / COVID-19 situation globally
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Not at all concerned
3
3
2
1
3
6
6
1
3
4
3
0
6
6
2
1
2
4
5
A little concerned
12
10
24
7
12
23
21
4
16
13
11
3
28
22
6
6
14
16
19
Quite concerned
22
31
35
18
25
33
34
10
34
20
28
10
32
41
27
11
30
29
27
Very concerned
34
28
25
39
38
25
26
31
30
31
33
28
22
19
32
34
35
32
28
Extremely concerned
30
28
14
35
22
14
13
55
17
33
26
59
12
13
33
48
19
20
21
% who say they’re concerned about the coronavirus / COVID-19 situation globally*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Not at all concerned
1
3
3
3
2
3
2
5
A little concerned
11
11
13
14
13
11
12
15
Quite concerned
20
22
24
27
22
22
21
22
Very concerned
35
34
32
32
33
34
35
33
Extremely concerned
34
30
28
24
30
30
31
26
Question: How concerned are you about the coronavirus / COVID-19 situation globally?
GWI Coronavirus Research July 2020 | Levels of Concern (Global): Trended Data 13
Levels of Concern (Global): Trended Data
% who say they’re extremely, very, or quite concerned about the coronavirus / COVID-19 situation globally
Question: How concerned are you about the coronavirus / COVID-19 situation globally? Chart illustrates combined responses for Extremely concerned, Very concerned, Quite concerned
82
92
83
81
71
90
83
97
93
92
85
80
79
90
94
87
86
81
97
90
91
93
99
95
96
89
89
83
88
93
86
84
76
98
84
90
90
98
95
96
88
87
83
85
71
91
86
77
73
95
80
86
86
97
64
76
93
91
86
81
79
87
74
92
85
72
73
95
81
84
86
97
66
72
92
93
84
80
76
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Concern: Own Country vs Global 14
Levels of Concern: Own Country vs Global
% who say they’re extremely, very, or quite concerned about the coronavirus / COVID-19 situation in their own country vs globally
Question: How concerned are you about the coronavirus / COVID-19 situation in your country? How concerned are you about the coronavirus / COVID-19 situation globally? Chart illustrates combined
responses for Extremely concerned, Very concerned, Quite concerned
66
58
93
45
67
50
96
64
78
48
97
58
74
85
91
79
74 74
87
74
92
85
72
73
95
81
84
86
97
66
72
92
93
84
80
76
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Concern: Own County Concern: Global
GWI Coronavirus Research July 2020 | Levels of Concern about a Second Wave 15
Levels of Concern about a Second Wave
% who say they have the following levels of concern about a potential second wave in their country
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Not at all concerned
6
5
4
3
9
5
10
3
5
4
7
0
6
9
2
3
2
4
5
A little concerned
28
24
31
9
46
31
35
9
25
18
34
4
26
16
14
8
16
21
21
Quite concerned
23
31
32
16
26
29
30
16
36
24
28
12
31
33
34
16
31
28
21
Very concerned
22
23
20
31
16
21
18
31
23
26
18
24
21
27
24
29
31
24
24
Extremely concerned
22
18
14
42
4
14
8
42
12
29
13
61
16
15
27
44
21
23
30
% who say they have the following levels of concern about a potential second wave in their country*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Not at all concerned
4
6
7
6
5
7
5
6
A little concerned
24
28
29
26
28
28
25
32
Quite concerned
21
24
22
22
23
23
23
22
Very concerned
22
22
22
25
22
23
25
18
Extremely concerned
28
20
20
22
23
20
22
22
Question: How concerned are you about a potential "second wave" of coronavirus in your country?
GWI Coronavirus Research July 2020 | Expected Length of Outbreak (Own Country) 16
Expected Length of Outbreak (Own Country)
% who say they think the following is how long the coronavirus / COVID-19 outbreak will last in their country
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
A few more days
1
0
1
1
1
3
1
0
3
0
3
1
1
1
1
1
1
1
2
1-2 weeks
3
1
2
2
5
3
3
3
3
0
2
0
2
3
1
0
1
1
2
3-4 weeks
4
2
2
2
6
3
3
2
6
1
5
1
2
3
2
0
3
2
2
2-3 months
18
10
11
15
28
9
8
16
11
3
14
4
10
9
6
2
7
8
9
4-5 months
10
7
9
14
11
9
6
15
8
2
7
8
7
7
7
6
5
7
4
6 months
20
18
17
23
25
15
17
22
16
9
16
11
13
12
18
8
13
14
12
Up to a year
23
32
30
25
14
26
31
25
31
22
27
38
28
27
39
29
28
34
33
Longer than a year
21
29
28
19
9
32
31
17
22
63
27
38
37
38
26
53
42
33
36
% who say they think the following is how long the coronavirus / COVID-19 outbreak will last in their country*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
A few more days
1
1
2
0
1
1
1
2
1-2 weeks
3
4
3
1
4
3
3
4
3-4 weeks
3
4
4
2
4
4
4
2
2-3 months
19
20
16
10
18
18
18
14
4-5 months
15
10
8
7
9
11
10
13
6 months
21
21
19
15
18
21
21
22
Up to a year
21
22
23
30
23
22
24
21
Longer than a year
18
18
25
36
23
19
19
22
Question: How long do you think the coronavirus / COVID-19 outbreak will last in your country?
GWI Coronavirus Research July 2020 | Expected Length of Outbreak (Own Country): Trended Data 17
Expected Length of Outbreak (Own Country): Trended Data
% who say they think the coronavirus / COVID-19 outbreak will last 6 months or more in their country
Question: How long do you think the coronavirus / COVID-19 outbreak will last in your country? Chart illustrates combined responses for 6 months, Up to a year, Longer than a year
53
26
8
11
44
24
43
24
70
49
16
52
29
60
25
12
20
49
17
28
66
48
30
72
47
23
61
39
60
40
26
56
71
32
57
79
49
46
69
71
52
56
52
69
64
56
34
66
71
48
65
82
52
77
65
58
78
89
70
74
68
79
75
67
48
73
78
64
69
94
69
87
78
77
84
90
83
81
81
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Expected Length of Outbreak (Global) 18
Expected Length of Outbreak (Global)
% who say they think the following is how long the coronavirus / COVID-19 outbreak will last globally
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
A few more days
1
1
0
1
0
2
1
1
1
0
1
0
1
1
1
1
0
0
2
1-2 weeks
1
1
4
2
1
3
3
1
2
0
1
0
1
1
1
1
1
1
1
3-4 weeks
1
1
2
2
1
2
2
2
3
0
1
1
1
2
1
0
1
1
1
2-3 months
4
2
1
9
3
4
1
5
4
1
0
1
3
4
1
1
3
2
4
4-5 months
6
2
6
9
7
4
4
9
5
1
1
3
5
5
3
2
4
3
6
6 months
15
6
9
19
18
11
8
18
11
3
5
8
8
9
9
6
8
8
11
Up to a year
28
25
25
31
31
26
23
28
26
13
18
30
21
26
28
23
20
27
26
Longer than a year
44
64
54
28
39
49
57
37
48
82
73
56
61
52
56
67
63
58
50
% who say they think the following is how long the coronavirus / COVID-19 outbreak will last globally*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
A few more days
1
1
1
0
1
1
1
1
1-2 weeks
1
1
1
0
1
1
1
1
3-4 weeks
2
2
1
1
2
1
2
3
2-3 months
4
4
3
2
3
4
5
2
4-5 months
8
7
5
5
6
7
6
7
6 months
16
16
14
9
14
15
16
16
Up to a year
28
28
27
25
26
29
28
26
Longer than a year
40
42
48
59
47
43
42
44
Question: How long do you think the coronavirus / COVID-19 outbreak will last globally?
GWI Coronavirus Research July 2020 | Expected Length of Outbreak (Global): Trended Data 19
Expected Length of Outbreak (Global): Trended Data
% who say they think the coronavirus / COVID-19 outbreak will last 6 months or more globally
Question: How long do you think the coronavirus / COVID-19 outbreak will last globally? Chart illustrates combined responses for 6 months, Up to a year, Longer than a year
73
52
53
51
72
71
70
58
86
68
58
75
59
85
57
62
62
78
44
72
83
88
61
85
78
68
85
64
85
62
76
78
88
63
82
89
91
73
87
88
81
82
74
93
86
70
85
82
87
74
85
93
92
90
86
72
91
95
87
86
81
94
88
77
88
86
88
82
85
98
96
95
89
87
93
95
91
93
86
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Expected Length of Outbreak: Own Country vs Globally 20
Expected Length of Outbreak: Own Country vs Globally
% who say they think the coronavirus / COVID-19 outbreak will last 6 months or more in their own country vs globally
Question: How long do you think the coronavirus / COVID-19 outbreak will last in your country? How long do you think the coronavirus / COVID-19 outbreak will last globally? Chart illustrates combined
responses for 6 months, Up to a year, Longer than a year
79
75
67
48
73
78
64
69
94
69
87
78
77
84
90
83
81
81
94
88
77
88
86
88
82
85
98
96
95
89
87
93
95
91
93
86
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
6 Months+: Own County 6 months+: Global
GWI Coronavirus Research July 2020 | Levels of Optimism (Own Country) 21
Levels of Optimism (Own Country)
% who say they feel optimistic / not optimistic that their country will overcome the coronavirus / COVID-19 outbreak
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
1 - Not optimistic at all
6
4
6
21
1
9
3
3
4
32
2
8
4
11
3
9
8
7
10
2
8
6
10
25
1
15
7
6
12
28
5
13
9
12
8
12
22
16
14
3
21
35
48
29
7
44
36
20
38
29
20
29
32
40
35
37
43
37
35
4
28
37
30
16
29
25
42
34
34
8
37
23
28
23
39
21
21
29
25
5 - Very optimistic
37
18
6
9
61
8
13
37
12
3
36
28
28
14
15
22
6
12
16
% who say they feel optimistic / not optimistic that their country* will overcome the coronavirus / COVID-19 outbreak
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
1 - Not optimistic at all
6
5
8
9
7
6
7
7
2
8
8
9
12
9
8
8
9
3
22
19
22
29
22
20
20
23
4
32
26
27
28
28
27
27
27
5 - Very optimistic
31
42
35
22
34
40
38
34
Question: How optimistic are you that your country will overcome the coronavirus / COVID-19 outbreak?
GWI Coronavirus Research July 2020 | Levels of Optimism (Own Country): Trended Data 22
Levels of Optimism (Own Country): Trended Data
% who say they feel optimistic that their country will overcome the coronavirus / COVID-19 outbreak
Question: How optimistic are you that your country will overcome the coronavirus / COVID-19 outbreak? Chart illustrates combined responses for scale points 4 and 5 on the scale of “1 – not optimistic at all” to
“5 – very optimistic”
56
37
93
44
39
54
17
75
65
49
49
49
56
61
37
93
36
44
79
53
7
72
75
63
51
41
56
58
66
32
92
33
50
80
44
8
80
70
57
57
35
49
53
64
37
24
92
32
55
72
43
12
83
56
62
52
60
44
32
45
50
55
36
25
90
33
55
71
46
11
73
50
56
37
54
43
27
40
41
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Optimism (Global) 23
Levels of Optimism (Global)
% who say they feel optimistic / not optimistic that the world will overcome the coronavirus / COVID-19 outbreak
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
1 - Not optimistic at all
10
12
11
6
13
14
9
3
6
43
17
3
4
9
10
5
15
9
6
2
16
25
22
22
20
25
29
5
20
28
22
2
9
11
18
9
28
15
12
3
35
39
46
36
39
44
47
20
43
22
39
28
30
38
44
32
39
43
40
4
24
16
19
26
20
12
13
37
23
5
15
35
27
24
20
29
14
24
28
5 - Very optimistic
15
8
3
11
8
5
3
36
8
3
7
33
29
18
9
25
4
10
15
% who say they feel optimistic / not optimistic that the world* will overcome the coronavirus / COVID-19 outbreak
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
1 - Not optimistic at all
6
9
13
14
10
10
8
10
2
13
16
18
19
18
15
16
17
3
33
36
34
40
36
34
34
32
4
30
24
20
18
23
25
27
24
5 - Very optimistic
18
15
15
10
13
17
15
17
Question: How optimistic are you that the world will overcome the coronavirus / COVID-19 outbreak?
GWI Coronavirus Research July 2020 | Levels of Optimism (Global): Trended Data 24
Levels of Optimism (Global): Trended Data
% who say they feel optimistic that the world will overcome the coronavirus / COVID-19 outbreak
Question: How optimistic are you that the world will overcome the coronavirus / COVID-19 outbreak? Chart illustrates combined responses for scale points 4 and 5 on the scale of “1 – not optimistic at all” to “5 –
very optimistic”
47
46
37
32
23
46
11
84
33
64
41
45
51
42
43
40
27
15
72
43
5
38
82
36
62
34
48
53
36
42
34
23
15
73
40
5
27
80
37
61
27
42
49
28
24
40
33
23
17
68
37
6
31
71
64
55
35
56
28
38
47
25
21
37
28
17
16
72
31
7
22
68
57
41
29
54
18
34
43
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Optimism: Own Country vs Global 25
Levels of Optimism: Own Country vs Global
% who say they feel optimistic that their own country or the world will overcome the coronavirus / COVID-19 outbreak
Question: How optimistic are you that your country will overcome the coronavirus / COVID-19 outbreak? How optimistic are you that the world will overcome the coronavirus / COVID-19 outbreak? Chart
illustrates combined responses for scale points 4 and 5 on the scale of “1 – not optimistic at all” to “5 – very optimistic”
55
36
25
90
33
55
71
46
11
73
50
56
37
54
43
27
40
41
25
21
37
28
17
16
72
31
7
22
68
57
41
29
54
18
34
43
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Optimistic: Own County Optimistic: Global
GWI Coronavirus Research July 2020 | Impact on Personal / Household Finances 26
Impact on Personal / Household Finances
% who say they expect coronavirus / COVID-19 to have the following effect on their personal / household finances
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
No impact
14
23
27
9
14
27
34
4
13
12
22
2
14
9
8
4
10
28
27
Small impact
45
44
40
36
61
41
39
28
41
39
46
10
38
35
42
25
34
40
41
Big impact
28
20
22
32
18
20
12
54
29
27
20
54
26
39
34
46
33
16
18
Dramatic impact
9
8
5
17
6
5
7
11
9
6
7
32
13
10
12
18
7
7
6
Not sure
4
6
6
6
1
7
8
3
8
17
6
2
9
7
5
7
17
8
8
% who say they expect coronavirus / COVID-19 to have the following effect on their personal / household finances*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
No impact
9
13
18
22
14
14
16
12
Small impact
38
49
43
44
43
46
47
43
Big impact
38
27
25
20
28
28
27
28
Dramatic impact
11
9
9
6
10
8
8
12
Not sure
4
3
5
8
5
4
3
6
Question: How do you expect the coronavirus / COVID-19 outbreak to impact the following? Your personal / household finances
GWI Coronavirus Research July 2020 | Impact on Personal / Household Finances: Trended Data 27
Impact on Personal / Household Finances: Trended Data
% who say they expect coronavirus / COVID-19 to have a big or dramatic effect on their personal / household finances
Question: How do you expect the coronavirus / COVID-19 outbreak to impact the following? Your personal / household finances. Chart illustrates combined responses for Dramatic Impact, Big Impact
33
40
26
29
20
43
29
75
34
50
46
30
30
39
48
28
30
27
53
41
41
41
81
44
57
45
28
31
38
56
31
35
25
66
44
51
34
86
54
73
51
31
31
31
30
58
22
26
22
66
40
39
29
87
43
51
48
67
44
26
34
27
27
50
25
25
19
65
38
33
27
86
39
49
46
64
40
23
24
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Impact on Country’s Economy 28
Impact on Country’s Economy
% who say they expect coronavirus / COVID-19 to have the following effect on their country’s economy
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
No impact
2
1
1
1
2
3
4
0
1
1
0
0
1
2
0
1
0
1
2
Small impact
18
7
10
6
34
10
18
7
6
7
11
2
12
8
7
4
4
8
11
Big impact
53
53
64
47
47
55
49
68
57
64
61
39
44
54
61
48
55
49
53
Dramatic impact
25
36
20
44
15
29
20
23
34
22
24
59
39
33
29
48
37
39
30
Not sure
3
3
5
2
2
4
10
2
3
7
4
1
3
4
3
0
3
4
4
% who say they expect coronavirus / COVID-19 to have the following effect on their country’s economy*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
No impact
0
2
2
0
2
1
2
2
Small impact
21
19
18
11
19
18
19
16
Big impact
50
53
52
55
49
56
53
51
Dramatic impact
25
24
25
29
26
23
25
25
Not sure
5
2
3
5
4
3
2
7
Question: How do you expect the coronavirus / COVID-19 outbreak to impact the following? Your country’s economy
GWI Coronavirus Research July 2020 | Impact on Country’s Economy: Trended Data 29
Impact on Country’s Economy: Trended Data
% who say they expect coronavirus / COVID-19 to have a dramatic or big effect on their country’s economy
Question: How do you expect the coronavirus / COVID-19 outbreak to impact the following? Your country’s economy. Chart illustrates combined responses for Dramatic Impact, Big Impact
82
86
66
87
73
93
86
94
83
88
92
83
80
92
87
66
85
78
85
91
89
91
96
89
91
93
87
83
93
91
71
90
80
92
94
92
93
97
94
95
97
85
87
90
91
92
65
85
80
90
92
90
89
96
85
89
91
97
96
88
87
88
84
91
62
84
68
91
90
86
85
97
83
86
90
96
92
88
83
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Impact on Personal Finances vs Country’s Economy 30
Impact on Personal Finances vs Country’s Economy
% who say they expect coronavirus / COVID-19 to have a dramatic or big effect on their personal finances vs the country’s economy
Question: How do you expect the coronavirus / COVID-19 outbreak to impact the following? Your country’s economy / your personal finances. Chart illustrates combined responses for Dramatic Impact,
Big Impact
27
27
50
25
25
19
65
38
33
27
86
39
49
46
64
40
23
24
88
84
91
62
84
68
91
90
86
85
97
83
86
90
96
92
88
83
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Impact: Personal Finances Impact: National Economy
GWI Coronavirus Research July 2020 | Impact on Global Economy 31
Impact on Global Economy
% who say they expect coronavirus / COVID-19 to have the following effect on the global economy
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
No impact
1
1
1
1
2
3
2
1
1
1
1
0
1
2
1
0
0
2
2
Small impact
7
5
7
7
7
8
10
7
6
3
5
2
7
8
4
4
4
6
11
Big impact
46
36
57
51
35
49
42
65
57
54
34
37
42
56
41
57
58
45
52
Dramatic impact
42
54
33
39
54
35
37
26
32
37
58
60
47
27
53
36
34
43
29
Not sure
4
4
2
2
3
6
9
3
4
6
3
2
3
7
2
4
3
5
7
% who say they expect coronavirus / COVID-19 to have the following effect on the global economy*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
No impact
1
2
1
0
1
2
1
3
Small impact
9
8
5
5
8
7
7
9
Big impact
50
45
46
51
43
49
47
45
Dramatic impact
36
43
43
38
44
39
43
37
Not sure
5
3
4
5
4
4
2
6
Question: How do you expect the coronavirus / COVID-19 outbreak to impact the following? The global economy
GWI Coronavirus Research July 2020 | Impact on Global Economy: Trended Data 32
Impact on Global Economy: Trended Data
% who say they expect coronavirus / COVID-19 to have a dramatic or big effect on the global economy
Question: How do you expect the coronavirus / COVID-19 outbreak to impact the following? The global economy. Chart illustrates combined responses for Dramatic Impact, Big Impact
84
89
84
87
77
92
87
95
90
89
93
85
83
92
88
86
85
83
88
91
90
94
97
93
90
93
88
83
92
91
90
89
86
94
90
93
95
98
95
94
96
88
86
93
90
90
91
86
83
92
89
92
94
98
87
88
94
95
95
87
84
90
89
90
88
84
78
90
90
91
92
96
89
83
94
92 92
87
81
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Personal Financial Response 33
Personal Financial Response
% who say they will do these things because of the coronavirus outbreak
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Cut back on the day-to-
day things you buy
35
41
31
50
26
40
21
40
43
38
46
55
44
36
51
58
32
38
38
Delay big purchases (e.g.
car, vacations, home
appliances, etc)
80
67
56
84
85
61
61
96
75
34
68
92
74
84
86
89
78
70
66
Look for cheaper versions
of products from
alternative brands
29
32
23
43
21
18
22
44
25
16
37
55
34
36
47
56
28
27
24
Look for flexible payment
options (e.g. pay in
instalments, etc)
20
14
6
31
17
8
8
39
8
4
16
43
9
21
14
24
10
8
7
Make fewer but more
expensive purchases
19
11
13
12
26
7
11
20
9
8
9
14
22
15
13
17
8
13
12
Put more purchases on
credit cards
17
10
7
26
18
2
5
20
5
20
9
10
27
19
14
11
10
8
11
Reduce regular financial
commitments (e.g. cancel
subscriptions,
memberships, etc)
34
21
12
32
43
12
15
40
26
7
21
43
14
19
30
42
19
19
19
Take out a loan
6
1
2
6
5
5
3
11
3
1
5
18
5
7
6
9
4
3
3
Use your savings
35
28
18
26
34
20
14
61
26
16
23
54
24
28
38
42
29
23
18
Wait for products to be on
promotion, discount, sale,
etc
38
41
31
45
35
32
26
48
43
20
40
42
35
42
53
54
35
31
35
None of these
9
18
25
5
7
22
27
0
9
30
15
1
9
9
3
4
11
14
17
Question: Will you do any of these things because of the coronavirus outbreak?
GWI Coronavirus Research July 2020 | Personal Financial Response 34
Personal Financial Response
% who say they will do these things because of the coronavirus outbreak*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Cut back on the day-to-day things you buy
38
32
37
37
36
34
31
38
Delay big purchases (e.g. car, vacations, home
appliances, etc)
86
84
75
64
79
82
87
75
Look for cheaper versions of products from alternative
brands
38
30
25
21
29
29
26
32
Look for flexible payment options (e.g. pay in
instalments, etc)
29
22
14
9
17
22
22
19
Make fewer but more expensive purchases
17
23
16
11
19
19
23
18
Put more purchases on credit cards
13
20
15
10
15
18
20
16
Reduce regular financial commitments (e.g. cancel
subscriptions, memberships, etc)
35
38
30
19
33
34
33
35
Take out a loan
7
6
5
2
5
7
6
5
Use your savings
52
35
27
19
30
38
33
36
Wait for products to be on promotion, discount, sale, etc
42
38
36
32
39
36
37
36
None of these
4
7
12
21
8
9
7
10
Question: Will you do any of these things because of the coronavirus outbreak?
GWI Coronavirus Research July 2020 | Impact on Job 35
Impact on Job
% who say the following things have happened to them during the coronavirus outbreak
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Been temporarily laid off /
placed on furlough
12
7
16
6
11
15
17
17
15
3
6
15
14
12
9
14
14
18
11
Had a bonus / payrise
deferred
14
6
4
6
20
5
7
19
8
7
9
10
18
14
17
11
3
7
6
Had a paycut
27
11
10
21
34
18
10
38
9
10
15
23
20
21
21
26
13
8
8
Had your working hours
reduced
24
24
16
33
19
14
11
41
19
20
21
34
25
15
24
36
18
13
14
Lost your job
7
6
6
10
3
5
5
13
5
2
7
24
6
6
7
11
7
4
5
None of these / Prefer not
to say
43
59
59
42
41
59
64
19
55
66
59
25
46
47
43
32
52
62
66
% who say the following things have happened to them during the coronavirus outbreak (using all country data)
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Been temporarily laid off / placed on furlough
16
12
10
8
11
13
8
14
Had a bonus / payrise deferred
7
20
12
4
11
17
17
10
Had a paycut
27
31
23
10
22
30
27
21
Had your working hours reduced
26
26
21
13
22
25
27
22
Lost your job
11
7
5
3
6
7
5
11
None of these / Prefer not to say
38
37
49
70
47
39
42
46
Question: Have any of the following things happened to you during the coronavirus outbreak?
GWI Coronavirus Research July 2020 | Impact on Job – Trended Data 36
Impact on Job – Trended Data
% who say that the coronavirus outbreak has had some level of impact on their job
Question: Have any of the following things happened to you during the coronavirus outbreak? Chart shows combined total for respondents who said they had been temporarily laid off, had a bonus / payrise
deferred, had a paycut, had their working hours reduced, or have lost their job.
44
55
63
44
38
77
43
36
42
73
52
62
48
39
36
41
41
58
59
41
36
81
45
34
41
75
54
53
57
68
48
38
35
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 3 (April 22-27) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Delayed Purchases 37
Delayed Purchases
% who say they’ve delayed purchasing the following as a result of the coronavirus / COVID-19 outbreak
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Car / vehicle
23
18
9
24
25
16
16
32
20
6
14
26
15
22
13
29
19
16
16
Clothes
27
21
30
34
19
25
14
46
31
12
21
52
21
32
26
46
32
25
19
Flights
30
34
17
35
31
18
24
33
23
10
32
51
21
36
43
31
33
35
28
Home appliances / devices
(e.g. TV, white goods)
22
15
10
24
21
11
10
36
18
10
14
38
19
26
22
31
18
14
12
Home furnishings (e.g.
bed, sofa, etc)
21
15
7
26
21
9
11
30
18
4
10
36
15
28
21
34
17
12
12
Insurance
7
5
3
6
7
4
3
15
7
1
6
12
4
7
12
12
4
4
2
Luxury items (e.g. designer
clothes, shoes, fragrances,
etc)
26
17
12
19
35
7
11
35
11
5
12
39
17
28
23
37
12
10
9
Personal electronics (e.g.
laptop, tablet, PC, etc)
24
15
10
24
24
13
8
41
18
4
12
46
18
26
23
33
18
11
13
Smart devices (e.g. smart-
watches, fitness trackers,
etc)
16
9
6
10
17
6
6
29
7
2
6
28
8
20
16
18
10
5
5
Smartphone
24
14
8
26
23
13
11
42
16
5
10
38
17
30
24
31
18
11
11
Vacations / trips
50
45
35
45
56
37
40
48
49
19
47
63
50
56
60
51
55
49
44
None of these
18
32
37
14
14
35
38
2
22
61
29
6
23
14
12
9
18
25
32
Question: Have you delayed purchasing any of the following, as a result of the coronavirus / COVID-19 outbreak?
GWI Coronavirus Research July 2020 | Delayed Purchases 38
Delayed Purchases
% who say they’ve delayed purchasing the following as a result of the coronavirus / COVID-19 outbreak*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Car / vehicle
20
25
23
14
19
26
30
19
Clothes
39
25
23
21
29
25
24
30
Flights
24
32
30
30
28
32
41
19
Home appliances / devices (e.g. TV, white goods)
22
24
21
14
20
24
25
23
Home furnishings (e.g. bed, sofa, etc)
19
22
21
15
19
22
25
20
Insurance
8
9
6
4
7
8
8
7
Luxury items (e.g. designer clothes, shoes, fragrances,
etc)
25
30
24
12
25
28
33
22
Personal electronics (e.g. laptop, tablet, PC, etc)
35
25
19
12
21
27
23
27
Smart devices (e.g. smart-watches, fitness trackers, etc)
21
18
12
5
14
17
14
17
Smartphone
34
25
18
11
20
26
23
26
Vacations / trips
43
51
51
49
49
50
58
37
None of these
11
15
23
34
19
17
12
22
Question: Have you delayed purchasing any of the following, as a result of the coronavirus / COVID-19 outbreak?
GWI Coronavirus Research July 2020 | Delay to Luxury Purchases: Trended Data 39
Delay to Luxury Purchases: Trended Data
% who say they’ve delayed purchasing luxury items (e.g. designer clothes, shoes, fragrances, etc.) as a result of the coronavirus / COVID-19 outbreak
Question: Have you delayed purchasing any of the following, as a result of the coronavirus / COVID-19 outbreak? Luxury items (e.g. designer clothes, shoes, fragrances, etc)
12
10
20
8 8
13
4
22
13
16
14
8 8
15
13
24
9
9
33
12
4
12
18
19
25
14
13
11
18
17
31
9
12
37
11
6
13
17
21
39
17
12
13
13
15
35
7
10
33
12
5
12
34
21
30
11
12
10
17
19
35
7
11
35
11
5
12
39
23
37
12
10
9
0
10
20
30
40
50
60
70
80
90
100
AU BR CN FR DE IN IT JP NZ PH SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Delay to Vacation Purchases: Trended Data 40
Delay to Vacation Purchases: Trended Data
% who say they’ve delayed purchasing vacations / trips as a result of the coronavirus / COVID-19 outbreak
Question: Have you delayed purchasing any of the following, as a result of the coronavirus / COVID-19 outbreak? Vacations / trips
30
25
53
28
30
37
14
45
50
34
38 38
30
42
30
53
36
39
42
42
17
42
40
57
35
46
45
34
47
39
60
48
42
49
47
26
43
49
59
46
55
46
49
45
43
61
41
40
45
50
24
42
63
57
46
57
44
47
45
45
56
37
40
48
49
19
47
63
60
51
55
49
44
0
10
20
30
40
50
60
70
80
90
100
AU BR CN FR DE IN IT JP NZ PH SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Expected Length of Purchase Delay 41
Expected Length of Purchase Delay
% who say the following is when they plan to buy purchases they have delayed
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
When the outbreak begins
to decrease in my country
23
10
14
19
28
18
13
29
22
9
6
13
23
21
13
25
20
14
15
When the outbreak is over in
my country
24
19
11
29
23
14
11
38
19
11
14
27
16
17
21
22
20
14
20
When the outbreak begins
to decrease globally
9
6
7
7
14
6
7
7
6
3
9
7
8
7
16
8
6
12
4
When the outbreak is over
globally
11
11
8
13
10
9
10
16
8
7
13
30
9
11
21
16
8
10
8
Not sure
14
23
23
19
12
18
23
8
25
9
29
17
21
30
17
20
28
25
22
% who say the following is when they plan to buy purchases they have delayed*
*Using all country data
Question: Thinking about large purchases that you have delayed, when do you plan to buy them?
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
When the outbreak begins to decrease in my country
28
26
18
13
22
24
26
20
When the outbreak is over in my country
29
26
21
18
22
26
26
24
When the outbreak begins to decrease globally
9
11
8
5
9
10
11
7
When the outbreak is over globally
11
11
13
7
11
11
13
12
Not sure
12
12
19
24
18
12
12
16
GWI Coronavirus Research July 2020 | Expected Length of Purchase Delay: Trended Data 42
Expected Length of Purchase Delay: Trended Data
% who say they plan to buy purchases they have delayed when the outbreak decreases or is over in their country
Question: Thinking about large purchases that you have delayed, when do you plan to buy them? Chart illustrates combined responses for When the outbreak begins to decrease in my country and When the
outbreak is over in my country.
23
38
52
37
20
46
25
47
21
32
44
25
29
28
38
50
37
25
52
43
27
32
38
21
41
37
29
30
30
45
54
41
28
62
44
27
30
46
25
49
44
32
37
33
47
52
37
25
66
44
26
31
38
29
46
48
31
37
29
47
51
32
24
67
40
20
19
40
34
47
39
28
34
0
10
20
30
40
50
60
70
80
90
100
AU BR CN FR DE IN IT JP NZ PH SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Prioritization of Delayed Purchases 43
Prioritization of Delayed Purchases
% who say they will prioritize making these large purchases first
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Car / vehicle
11
7
3
10
11
9
10
13
8
3
7
7
5
7
4
16
8
7
9
Clothes
13
8
20
15
10
13
7
23
17
7
11
16
12
16
7
23
19
12
9
Flights
7
9
6
13
6
7
6
8
6
4
11
8
6
8
12
7
8
13
8
Home appliances / devices
(e.g. TV, white goods)
12
5
4
11
12
5
5
20
7
6
8
20
9
11
8
13
8
6
6
Home furnishings (e.g.
bed, sofa, etc)
7
6
4
11
6
4
4
11
7
2
4
12
8
15
9
14
8
6
5
Insurance
3
1
2
2
3
1
1
7
4
0
2
7
1
3
6
6
2
2
2
Luxury items (e.g. designer
clothes, shoes, fragrances,
etc)
6
2
2
3
7
1
3
10
2
1
2
4
5
2
3
5
2
2
2
Personal electronics (e.g.
laptop, tablet, PC, etc)
12
6
4
10
12
5
5
20
7
3
4
19
8
9
11
12
8
4
6
Smart devices (e.g. smart-
watches, fitness trackers,
etc)
5
1
2
2
5
1
2
11
2
1
1
3
1
4
3
3
2
1
2
Smartphone
13
6
3
14
15
6
5
23
7
2
4
15
8
10
11
12
8
5
5
Vacations / trips
22
28
19
24
23
22
26
15
25
13
27
17
28
27
33
16
28
31
27
Question: Which large purchases will you prioritize making first? NOTE: Respondents saw this question only if they said they were delaying one of the purchases in the “Delayed Purchases” question. Options
they selected in that question were piped in to this question.
GWI Coronavirus Research July 2020 | Prioritization of Delayed Purchases 44
Prioritization of Delayed Purchases
% who say they will prioritize making these large purchases first*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Car / vehicle
8
12
11
6
9
12
14
8
Clothes
22
12
11
9
15
12
11
17
Flights
6
8
6
8
8
7
10
5
Home appliances / devices (e.g. TV, white goods)
12
13
11
7
10
13
14
13
Home furnishings (e.g. bed, sofa, etc)
7
8
7
4
7
7
8
8
Insurance
2
5
3
1
3
4
4
3
Luxury items (e.g. designer clothes, shoes, fragrances,
etc)
6
7
4
1
5
6
7
5
Personal electronics (e.g. laptop, tablet, PC, etc)
17
13
8
5
10
13
12
14
Smart devices (e.g. smart-watches, fitness trackers, etc)
7
6
3
1
5
5
5
6
Smartphone
20
15
10
4
12
15
14
15
Vacations / trips
14
22
25
29
21
22
27
13
Question: Which large purchases will you prioritize making first? NOTE: Respondents saw this question only if they said they were delaying one of the purchases in the “Delayed Purchases” question. Options
they selected in that question were piped in to this question.
GWI Coronavirus Research July 2020 | In-Home and Media Consumption Changes 45
In-Home and Media Consumption Changes
% who say they’ve been doing the following at home because of the coronavirus / COVID-19 outbreak
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Creating / uploading videos (e.g. on
YouTube, TikTok, etc)
16
7
6
24
14
7
5
31
12
3
4
24
11
10
11
17
14
7
8
Listening to more podcasts
15
14
10
23
11
10
12
24
10
4
12
16
17
19
11
16
13
13
14
Listening to more radio
19
17
19
21
14
19
27
24
27
9
17
26
36
22
22
35
28
24
17
Listening to more streaming services (e.g.
Spotify, Apple Music, etc)
37
21
14
42
45
17
15
48
23
8
20
43
24
17
26
38
28
20
22
Reading more books / listening to more
audiobooks
34
20
21
35
37
22
24
44
34
16
26
31
38
32
27
37
39
32
24
Reading more magazines
15
7
10
13
12
15
13
29
18
7
4
13
20
10
12
15
10
9
10
Reading more newspapers
18
11
16
16
11
15
17
45
21
13
10
21
20
11
29
19
18
11
9
Spending longer on messaging services
(e.g. WhatsApp, Facebook Messenger, etc)
42
24
30
56
46
30
24
55
48
5
30
59
38
48
45
57
47
35
12
Spending longer on social media (e.g.
Facebook, Instagram, Twitter, etc)
43
33
29
54
43
31
19
59
43
23
38
64
45
44
41
55
43
31
28
Spending longer talking on the telephone
to others
28
16
24
21
30
26
25
36
39
7
17
20
43
35
17
27
36
27
18
Spending more time on apps
36
21
16
39
41
17
14
49
28
7
18
45
29
34
39
44
26
21
19
Spending more time on computer / video
games
35
23
24
45
35
32
21
46
32
24
22
41
35
30
27
35
37
23
24
Spending more time cooking
43
35
30
42
48
41
28
43
48
18
43
49
40
40
44
50
43
38
43
Spending more time on esports
12
4
2
13
13
5
4
23
7
4
4
15
10
9
10
9
16
4
4
Spending more time on hobbies /
pastimes
35
26
26
28
37
24
25
44
35
31
28
49
34
31
26
34
17
28
26
Spending more time socializing as a family
/ household
46
23
27
34
60
33
32
46
37
20
28
65
26
40
33
48
40
23
26
Spending more time using online learning
platforms for yourself
31
14
11
37
31
10
8
52
20
6
16
50
22
27
35
44
20
15
12
Spending more time using online learning
platforms for your child(ren)
19
8
4
19
28
8
5
19
12
2
8
21
16
15
14
18
13
9
7
Watching more news coverage
56
41
42
51
66
39
44
54
57
50
48
64
57
47
54
58
47
44
36
Watching more shows / films on streaming
services (e.g. Netflix)
54
44
30
64
56
37
29
66
48
17
46
63
45
41
50
56
52
51
46
Watching more TV on broadcast channels
39
30
40
36
34
47
30
52
42
48
31
46
44
42
36
43
32
35
31
Watching more videos (e.g. on YouTube)
51
33
22
61
55
26
25
68
40
32
38
73
44
47
56
54
41
33
31
None of these
5
15
15
3
3
11
15
0
4
13
8
0
6
8
3
2
4
6
12
Question: Which of the following have you been doing at home, because of the coronavirus / COVID-19 outbreak? NOTE: In China, named services were replaced with local alternatives.
GWI Coronavirus Research July 2020 | In-Home and Media Consumption Changes 46
In-Home and Media Consumption Changes
% who say they’ve been doing the following at home because of the coronavirus / COVID-19 outbreak (using all country data)
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower Income
%
%
%
%
%
%
%
%
Creating / uploading videos (e.g. on YouTube, TikTok, etc)
27
18
10
3
15
17
19
14
Listening to more podcasts
18
17
11
6
13
16
19
12
Listening to more radio
18
18
20
20
17
21
19
19
Listening to more streaming services (e.g. Spotify, Apple Music, etc)
53
41
27
13
36
39
41
33
Reading more books / listening to more audiobooks
43
34
31
25
37
33
36
33
Reading more magazines
17
16
14
11
15
15
18
14
Reading more newspapers
25
17
16
18
16
20
21
19
Spending longer on messaging services (e.g. WhatsApp, Facebook
Messenger, etc)
52
42
38
24
42
42
44
36
Spending longer on social media (e.g. Facebook, Instagram, Twitter,
etc)
59
44
36
26
46
41
46
38
Spending longer talking on the telephone to others
27
29
26
26
28
27
31
25
Spending more time on apps
50
39
28
14
34
37
37
35
Spending more time on computer / video games
48
37
28
19
31
38
34
33
Spending more time cooking
41
43
47
38
49
39
49
39
Spending more time on esports
18
15
7
1
11
14
15
11
Spending more time on hobbies / pastimes
43
36
29
30
36
34
37
32
Spending more time socializing as a family / household
51
45
47
33
48
44
47
40
Spending more time using online learning platforms for yourself
46
33
22
13
31
31
34
29
Spending more time using online learning platforms for your child(ren)
3
24
25
5
19
20
30
11
Watching more news coverage
51
54
60
57
56
56
56
49
Watching more shows / films on streaming services (e.g. Netflix)
65
57
47
32
54
53
57
43
Watching more TV on broadcast channels
38
37
40
44
36
41
42
35
Watching more videos (e.g. on YouTube)
69
54
42
24
49
53
50
47
None of these
2
4
6
11
4
5
3
6
Question: Which of the following have you been doing at home, because of the coronavirus / COVID-19 outbreak? NOTE: In China, named services were replaced with local alternatives
GWI Coronavirus Research July 2020 | In-Home and Media Consumption Changes: Trended Data 47
In-Home and Media Consumption Changes: Trended Data
% who say they’ve been doing the following at home because of the coronavirus / COVID-19 outbreak (average across all 13 markets included in all five waves)
Question: Which of the following have you been doing at home, because of the coronavirus / COVID-19 outbreak? NOTE: Spending more time on esports and Watching more videos were new addition to this
question in Wave 2, and are therefore excluded from the Wave 1 data.
48
36
51
56
46
33
10
33
33
44
25
40
39
12
12
32
36
17
13
13
45
51
67
53
43
36
38
41
25
44
45
16
14
35
35
18
12
14
0 10 20 30 40 50 60 70 80
Watching more videos (e. g. on YouTube)
Watching more TV on broadcast channels
Watching more shows / films on streaming services (e. g. Netflix)
Watching more news coverage
Spending more time socializing as a family / household
Spending more time on hobbies / pastimes
Spending more time on esports
Spending more time on computer / video games
Spending more time on apps
Spending more time cooking
Spending longer talking on the telephone to others
Spending longer on social media (e. g. Facebook, Instagram, Twitter, etc)
Spending longer on messaging services (e. g. WhatsApp, Facebook Messenger, etc)
Reading more newspapers
Reading more magazines
Reading more books / listening to more audiobooks
Listening to more streaming services (e. g. Spotify, Apple Music, etc)
Listening to more radio
Listening to more podcasts
Creating / uploading videos (e. g. on YouTube, TikTok, etc)
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | In-Home Behaviors and Media Consumption – Permanent Changes Expected 48
In-Home Behaviors and Media Consumption – Permanent Changes Expected
% who say they expect to carry on doing the following, once the coronavirus / COVID-19 outbreak is over
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Creating / uploading videos (e.g. on
YouTube, TikTok, etc)
7
3
2
12
5
2
2
17
4
1
2
13
5
3
5
9
4
2
4
Listening to more podcasts
6
8
4
12
3
4
4
10
3
2
5
8
8
6
5
9
5
7
7
Listening to more radio
8
8
8
9
4
7
12
11
8
3
7
10
19
9
10
20
12
10
8
Listening to more streaming services (e.g.
Spotify, Apple Music, etc)
17
9
5
23
19
8
7
26
6
3
10
24
10
8
13
19
10
9
9
Reading more books / listening to more
audiobooks
17
12
11
22
14
10
13
24
15
7
16
17
24
17
14
23
19
19
15
Reading more magazines
6
3
4
6
3
4
5
14
4
2
1
5
10
3
4
7
3
3
3
Reading more newspapers
8
5
6
8
4
6
7
23
6
5
3
11
8
5
14
10
6
5
4
Spending longer on messaging services
(e.g. WhatsApp, Facebook Messenger, etc)
18
10
10
26
20
11
7
28
12
2
8
29
15
21
21
28
15
9
4
Spending longer on social media (e.g.
Facebook, Instagram, Twitter, etc)
18
9
7
25
19
10
5
29
8
10
12
30
17
14
17
22
13
5
8
Spending longer talking on the telephone
to others
10
5
8
8
11
8
7
13
9
2
6
7
16
12
5
10
8
8
7
Spending more time on apps
13
6
3
11
17
5
3
17
5
3
4
16
9
10
13
16
6
4
5
Spending more time cooking
23
24
18
20
25
22
14
21
24
5
28
31
19
23
21
35
15
22
26
Spending more time on computer / video
games
12
9
4
19
10
9
8
20
8
10
7
17
11
11
10
14
10
6
8
Spending more time on esports
5
1
0
6
5
1
2
9
3
2
1
6
3
3
3
4
4
2
1
Spending more time on hobbies /
pastimes
18
16
14
15
19
13
12
21
19
19
16
20
17
19
13
20
4
14
15
Spending more time socializing as a family
/ household
29
13
16
19
40
21
20
24
24
7
16
48
14
23
18
32
20
12
16
Spending more time using online learning
platforms for yourself
15
7
3
18
15
3
3
25
7
3
6
28
7
10
17
25
8
5
6
Spending more time using online learning
platforms for your child(ren)
8
3
1
8
12
2
1
8
4
1
2
14
5
4
6
8
4
3
2
Watching more news coverage
23
12
13
22
29
10
17
25
12
17
14
35
20
14
27
26
13
11
12
Watching more shows / films on streaming
services (e.g. Netflix)
23
20
12
35
19
19
14
35
17
8
20
35
20
19
26
30
21
19
21
Watching more TV on broadcast channels
12
9
11
14
7
13
9
22
8
21
8
17
12
11
12
16
8
10
12
Watching more videos (e.g. on YouTube)
24
17
7
32
23
9
9
37
11
13
14
43
18
19
28
28
14
13
14
None of these
8
12
15
7
5
15
14
4
16
21
15
3
10
14
14
3
18
20
14
Question: Once the coronavirus outbreak is over, do you think you'll carry on doing the following? NOTE: Options are routed from “In-Home & Media Consumption Changes”.
GWI Coronavirus Research July 2020 | In-Home Behaviors and Media Consumption – Permanent Changes Expected 49
In-Home Behaviors and Media Consumption – Permanent Changes Expected
% who say they expect to carry on doing the following, once the coronavirus / COVID-19 outbreak is over (using all country data)
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower Income
%
%
%
%
%
%
%
%
Creating / uploading videos (e.g. on YouTube, TikTok, etc)
11
9
4
1
6
9
10
7
Listening to more podcasts
7
6
5
3
5
6
7
6
Listening to more radio
6
7
9
9
6
9
7
8
Listening to more streaming services (e.g. Spotify, Apple Music, etc)
27
18
12
5
17
17
19
18
Reading more books / listening to more audiobooks
21
17
14
14
18
15
15
18
Reading more magazines
6
6
5
4
5
6
7
5
Reading more newspapers
11
8
7
9
7
10
9
9
Spending longer on messaging services (e.g. WhatsApp, Facebook
Messenger, etc)
24
19
15
8
18
19
19
18
Spending longer on social media (e.g. Facebook, Instagram, Twitter,
etc)
28
19
13
8
19
18
19
16
Spending longer talking on the telephone to others
8
11
9
9
10
9
11
9
Spending more time on apps
18
14
9
4
12
14
14
13
Spending more time cooking
20
23
24
20
26
20
25
20
Spending more time on computer / video games
20
13
8
4
10
15
12
11
Spending more time on esports
7
6
2
0
4
5
7
5
Spending more time on hobbies / pastimes
22
18
16
17
18
18
20
16
Spending more time socializing as a family / household
28
29
29
21
31
27
31
22
Spending more time using online learning platforms for yourself
23
16
9
5
15
14
17
12
Spending more time using online learning platforms for your child(ren)
1
11
9
3
8
8
14
5
Watching more news coverage
20
23
27
19
23
24
24
21
Watching more shows / films on streaming services (e.g. Netflix)
28
25
19
14
22
24
24
21
Watching more TV on broadcast channels
13
12
12
13
10
14
13
13
Watching more videos (e.g. on YouTube)
33
27
16
9
22
25
23
23
None of these
5
6
11
18
8
8
7
8
Question: Once the coronavirus outbreak is over, do you think you'll carry on doing the following? NOTE: Options are routed from “In-Home & Media Consumption Changes”.
GWI Coronavirus Research July 2020 | In-Home Behaviors and Media Consumption: Permanent Changes – Trended Data 50
In-Home Behaviors and Media Consumption: Permanent Changes – Trended Data
% who say they expect to carry on doing the following, once the coronavirus / COVID-19 outbreak is over (average across all 15 markets included in all four waves)
Question: Once the coronavirus outbreak is over, do you think you'll carry on doing the following? NOTE: Options are routed from “In-Home & Media Consumption Changes”.
8
24
12
23
23
29
18
5
12
13
23
10
19
18
8
6
16
17
7
6
8
9
20
11
20
24
26
17
3
10
10
15
8
15
16
7
4
13
14
6
4
6
0 5 10 15 20 25 30 35
None of these
Watching more videos (e. g. on YouTube)
Watching more TV on broadcast channels
Watching more shows / films on streaming services (e. g. Netflix)
Watching more news coverage
Spending more time socializing as a family / household
Spending more time on hobbies / pastimes
Spending more time on esports
Spending more time on computer / video games
Spending more time on apps
Spending more time cooking
Spending longer talking on the telephone to others
Spending longer on social media (e. g. Facebook, Instagram, Twitter, etc)
Spending longer on messaging services (e. g. WhatsApp, Facebook Messenger,…
Reading more newspapers
Reading more magazines
Reading more books / listening to more audiobooks
Listening to more streaming services (e. g. Spotify, Apple Music, etc)
Listening to more radio
Listening to more podcasts
Creating / uploading videos (e. g. on YouTube, TikTok, etc)
Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Device Usage 51
Device Usage
% who say they’re spending more time using the following devices since the start of the coronavirus / COVID-19 outbreak
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Games console
18
14
11
29
15
20
14
24
14
16
10
14
19
7
12
17
17
17
20
Laptop
47
39
40
46
44
41
32
63
47
12
41
63
59
59
51
62
50
46
41
PC / desktop
33
23
26
44
34
30
22
39
29
48
20
41
27
44
29
30
30
16
21
Smart speaker
14
5
3
7
17
5
5
23
6
5
2
9
4
7
7
9
10
8
9
Smart TV / media
streaming device
32
22
9
53
31
13
22
41
28
6
21
35
24
27
25
27
35
24
24
Smartphone / mobile
phone
70
41
45
80
82
49
37
78
64
39
48
88
61
68
69
75
62
46
43
Smartwatch
9
3
4
10
8
3
5
18
6
4
2
7
10
7
8
7
7
5
5
Tablet
23
19
14
17
27
16
15
23
23
15
17
26
16
21
24
19
29
26
22
Other
1
1
1
1
1
1
2
2
4
1
1
2
1
1
1
1
2
1
1
None of these
6
19
20
2
3
18
26
1
4
20
13
0
7
5
4
3
3
14
18
Question: Which device(s) have you been spending more time using since the start of the coronavirus / COVID-19 outbreak?
GWI Coronavirus Research July 2020 | Device Usage 52
Device Usage
% who say they’re spending more time using the following devices since the start of the coronavirus / COVID-19 outbreak*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Games console
16
25
11
3
14
22
24
13
Laptop
62
47
41
35
45
48
49
42
PC / desktop
33
33
34
34
28
38
33
31
Smart speaker
13
17
11
4
12
16
19
9
Smart TV / media streaming device
27
36
31
18
30
33
40
24
Smartphone / mobile phone
79
72
66
49
71
70
70
67
Smartwatch
11
12
5
1
9
10
13
7
Tablet
20
27
20
21
25
22
29
18
Other
1
1
1
1
1
1
1
1
None of these
2
5
9
16
7
6
6
7
Question: Which device(s) have you been spending more time using since the start of the coronavirus / COVID-19 outbreak?
GWI Coronavirus Research July 2020 | Smartphone Usage: Trended Data 53
Smartphone Usage: Trended Data
% who say they’re spending more time using a smartphone since the start of the coronavirus / COVID-19 outbreak
Question: Which device(s) have you been spending more time using since the start of the coronavirus / COVID-19 outbreak? Smartphone / mobile phone
38
77
86
41
33
72
47
86
64
72
64
38
40
46
78
89
56
44
82
71
51
55
87
70
79
67
53
52
45
78
81
52
39
79
67
46
55
82
72
80
63
45
45
44
81
82
51
41
80
67
42
51
87
70
76
62
43
45
41
80
82
49
37
78
64
39
48
88
69
75
62
46
43
0
10
20
30
40
50
60
70
80
90
100
AU BR CN FR DE IN IT JP NZ PH SG ZA SP UK USA
Wave 1 (March 16-20) Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Approval for Brand Activities: Running “Normal” Advertising Campaigns 54
Levels of Approval for Brand Activities: Running “Normal” Advertising Campaigns
% who approve / disapprove of brands running "normal" advertising campaigns (which aren't related to coronavirus)
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Strongly approve
20
18
18
32
9
27
21
32
33
12
21
17
33
28
12
23
29
15
25
Somewhat approve
35
33
35
27
36
30
35
42
36
27
33
41
37
43
42
37
34
33
28
Neither approve nor
disapprove
33
38
37
27
41
33
30
14
23
51
40
23
23
23
36
22
30
39
37
Somewhat disapprove
8
7
7
9
9
6
8
7
5
6
4
14
5
5
8
10
3
7
6
Strongly disapprove
5
3
3
5
5
5
6
5
2
4
2
4
2
1
3
8
4
5
4
% who approve / disapprove of brands running "normal" advertising campaigns (which aren't related to coronavirus)*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Strongly approve
22
21
17
17
18
21
22
18
Somewhat approve
38
35
35
27
35
35
37
34
Neither approve nor disapprove
29
31
36
42
35
31
29
37
Somewhat disapprove
6
8
8
7
8
8
7
7
Strongly disapprove
5
5
4
7
4
5
4
4
Question: Many brands and companies are trying to decide how best to respond to the coronavirus / COVID-19 outbreak. To what extent do you approve / disapprove of them doing the following at the
moment? Running "normal" advertising campaigns (which aren't related to coronavirus)
GWI Coronavirus Research July 2020 | Running “Normal” Advertising Campaigns – Trended Data 55
Running “Normal” Advertising Campaigns – Trended Data
% who strongly or somewhat approve, or neither approve/disapprove, of brands running "normal" advertising campaigns (which aren't related to coronavirus)
Question: Many brands and companies are trying to decide how best to respond to the coronavirus / COVID-19 outbreak. To what extent do you approve / disapprove of them doing the following at the
moment? Running "normal" advertising campaigns (which aren't related to coronavirus). Chart illustrates combined responses for Strongly Approve, Somewhat Approve, Neither Approve nor Disapprove.
82
83
83
79
82
79
85
82
75
81
84
72
85
80
87
88
88
85
87
83
84
87
82
85
84
85
78
91
86
87
92
87
88
87
85
85
92
89
94
76
91
82
92
90
89
90
86
87
89
86
88
93
91
94
81
89
82
93
88
90
0
10
20
30
40
50
60
70
80
90
100
AU BR CN FR DE IN IT JP NZ PH SG ZA SP UK USA
Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Approval for Brand Activities: Running Advertising in Response to CV-19 56
Levels of Approval for Brand Activities: Running Advertising in Response to CV-19
% who approve / disapprove of brands running advertising which shows how they are responding to coronavirus or helping customers
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Strongly approve
36
23
18
55
33
20
15
49
38
19
21
58
26
22
23
49
29
23
23
Somewhat approve
41
40
40
29
51
33
36
36
36
35
42
32
43
43
51
31
38
38
34
Neither approve nor
disapprove
16
29
30
11
12
29
25
7
18
39
28
6
17
23
20
13
23
30
31
Somewhat disapprove
4
4
7
4
2
10
12
6
4
3
6
3
9
6
4
4
5
6
7
Strongly disapprove
3
4
5
2
1
8
13
2
5
3
3
1
5
6
3
3
5
4
5
% who approve / disapprove of brands running advertising which shows how they are responding to coronavirus or helping customers*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Strongly approve
39
36
34
27
36
35
39
31
Somewhat approve
47
41
39
36
43
40
40
40
Neither approve nor disapprove
8
15
20
28
15
17
14
19
Somewhat disapprove
5
4
5
5
4
5
4
7
Strongly disapprove
1
3
3
4
2
3
3
3
Question: Many brands and companies are trying to decide how best to respond to the coronavirus / COVID-19 outbreak. To what extent do you approve / disapprove of them doing the following at the
moment? Running advertising which shows how they are responding to coronavirus or helping customers
GWI Coronavirus Research July 2020 | Running Advertising in Response to CV-19 – Trended Data 57
Running Advertising in Response to CV-19 – Trended Data
% who strongly or somewhat approve, or neither approve/disapprove, of brands running advertising which shows how they are responding to coronavirus or helping customers
Question: Many brands and companies are trying to decide how best to respond to the coronavirus / COVID-19 outbreak. To what extent do you approve / disapprove of them doing the following at the
moment? Running advertising which shows how they are responding to coronavirus or helping customers. Chart illustrates combined responses for Strongly Approve, Somewhat Approve, Neither
Approve nor Disapprove
94
95
98
87
81
92
94
88
95
97
95
95
94
94
94
92
97
97
88
81
91
91
89
94
97
95
94
90
92
91
91
95
96
85
77
92
91
93
95
96
95
95
89
90
88
92
94
97
82
76
92
91
94
91
97
94
93
90
91
88
0
10
20
30
40
50
60
70
80
90
100
AU BR CN FR DE IN IT JP NZ PH SG ZA SP UK USA
Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Approval for Brand Activities: Running Promotions for Customers 58
Levels of Approval for Brand Activities: Running Promotions for Customers
% who approve / disapprove of brands running promotions / offers / loyalty perks for customers
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Strongly approve
51
38
46
74
48
46
29
58
62
21
43
62
57
54
40
61
54
36
45
Somewhat approve
34
35
30
17
41
28
39
28
23
32
33
28
27
28
43
26
26
36
32
Neither approve nor
disapprove
12
22
18
6
8
19
20
7
12
41
20
6
12
14
13
7
14
23
19
Somewhat disapprove
3
3
4
2
1
6
5
6
1
4
3
2
2
2
3
3
3
2
3
Strongly disapprove
1
2
3
1
1
2
6
1
2
2
1
1
2
1
1
2
2
3
2
% who approve / disapprove of brands running promotions / offers / loyalty perks for customers*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Strongly approve
54
51
48
46
53
49
52
45
Somewhat approve
32
35
34
32
32
35
34
34
Neither approve nor disapprove
9
10
15
19
12
12
10
15
Somewhat disapprove
5
3
2
1
2
3
3
4
Strongly disapprove
1
2
1
2
1
2
1
2
Question: Many brands and companies are trying to decide how best to respond to the coronavirus / COVID-19 outbreak. To what extent do you approve / disapprove of them doing the following at the
moment? Running promotions / offers / loyalty perks for customers
GWI Coronavirus Research July 2020 | Running Promotions for Customers – Trended Data 59
Running Promotions for Customers – Trended Data
% who strongly or somewhat approve, or neither approve/disapprove, of brands running promotions / offers / loyalty perks for customers
Question: Many brands and companies are trying to decide how best to respond to the coronavirus / COVID-19 outbreak. To what extent do you approve / disapprove of them doing the following at the
moment? Running promotions / offers / loyalty perks for customers. Chart illustrates combined responses for Strongly Approve, Somewhat Approve, Neither Approve nor Disapprove.
93
94
95
89
89
79
94
89
87
89
96
85
89
90
95
95
96
97
91
90
88
96
92
94
96
95
94
94
93
97
96
98
98
93
90
92
95
94
98
96
97
97
95 95
95
95
97
98
92
89
92
97
94
96
96
96
94
95
95
96
0
10
20
30
40
50
60
70
80
90
100
AU BR CN FR DE IN IT JP NZ PH SG ZA SP UK USA
Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Approval for Brand Activities: Contacting Customers About CV-19 Response 60
Levels of Approval for Brand Activities: Contacting Customers About CV-19 Response
% who approve / disapprove of brands contacting customers (e.g. via email) to let them know how they are responding to coronavirus
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Strongly approve
35
19
16
45
39
17
13
46
23
17
16
51
23
18
21
40
26
22
20
Somewhat approve
38
40
34
32
44
34
33
33
35
32
40
34
39
33
50
34
39
38
36
Neither approve nor
disapprove
18
32
32
16
14
27
22
10
26
42
31
9
22
27
22
13
25
30
33
Somewhat disapprove
5
5
10
5
2
10
14
7
7
5
7
5
8
10
4
7
5
7
7
Strongly disapprove
4
5
9
3
1
12
18
3
8
4
6
2
9
12
3
6
5
4
5
% who approve / disapprove of brands contacting customers (e.g. via email) to let them know how they are responding to coronavirus*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Strongly approve
43
37
31
20
35
36
40
31
Somewhat approve
37
40
37
36
39
38
37
39
Neither approve nor disapprove
13
15
23
31
19
17
16
21
Somewhat disapprove
5
5
5
6
4
6
4
5
Strongly disapprove
2
3
4
8
4
4
3
4
Question: Many brands and companies are trying to decide how best to respond to the coronavirus / COVID-19 outbreak. To what extent do you approve / disapprove of them doing the following at the
moment? Contacting customers (e.g. via email) to let them know how they are responding to coronavirus
GWI Coronavirus Research July 2020 | Contacting Customers About CV-19 Response – Trended Data 61
Contacting Customers About CV-19 Response – Trended Data
% who strongly or somewhat approve, or neither approve/disapprove, of brands contacting customers (e.g. via email) to let them know how they are responding to coronavirus
Question: Many brands and companies are trying to decide how best to respond to the coronavirus / COVID-19 outbreak. To what extent do you approve / disapprove of them doing the following at the
moment? Contacting customers (e.g. via email) to let them know how they are responding to coronavirus. Chart illustrates combined responses for Strongly Approve, Somewhat Approve, Neither Approve
nor Disapprove.
94
92
98
85
78
91
90
88
91
96
93
93
93
95
92
88
93
98
85
75
90
88
91
90
95
92
91
93
95
90
89
91
97
78
73
93
86
93
88
95
94
90
92
91
90
90
92
97
78
68
89
84
92
87
94
93
87
90
89
88
0
10
20
30
40
50
60
70
80
90
100
AU BR CN FR DE IN IT JP NZ PH SG ZA SP UK USA
Wave 2 (March 31-April 2) Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Approval for Brand Activities: Offering Flexible Payment Terms 62
Levels of Approval for Brand Activities: Offering Flexible Payment Terms
% who approve / disapprove of brands offering flexible payment terms (e.g. instalments, payment plans, etc)
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Strongly approve
44
38
27
74
36
29
26
58
52
16
33
67
47
43
33
61
53
34
45
Somewhat approve
36
34
30
19
47
34
39
31
30
33
37
25
31
34
49
29
28
34
29
Neither approve nor
disapprove
15
22
27
5
15
25
21
5
14
44
24
4
17
19
14
6
14
25
23
Somewhat disapprove
3
3
8
1
2
6
7
4
2
4
4
3
3
2
4
2
2
4
1
Strongly disapprove
2
3
9
1
1
6
7
3
2
3
2
1
3
1
1
3
3
4
2
% who approve / disapprove of brands offering flexible payment terms (e.g. instalments, payment plans, etc)*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Strongly approve
50
45
41
37
45
44
48
41
Somewhat approve
36
37
37
33
36
37
37
35
Neither approve nor disapprove
9
13
18
26
15
15
11
18
Somewhat disapprove
2
3
3
2
3
2
3
3
Strongly disapprove
3
2
2
3
2
2
2
3
Question: Many brands and companies are trying to decide how best to respond to the coronavirus / COVID-19 outbreak. To what extent do you approve / disapprove of them doing the following at the
moment? Offering flexible payment terms (e.g. instalments, payment plans, etc.)
GWI Coronavirus Research July 2020 | Flexible Payment Terms – Trended Data 63
Flexible Payment Terms – Trended Data
% who strongly or somewhat approve, or neither approve/disapprove, of brands offering flexible payment terms
Question: Many brands and companies are trying to decide how best to respond to the coronavirus / COVID-19 outbreak. To what extent do you approve / disapprove of them doing the following at the
moment? Offering flexible payment terms (e.g. instalments, payment plans, etc.). Chart illustrates combined responses for Strongly Approve, Somewhat Approve, Neither Approve nor Disapprove.
94
98 98
91
85
93
95
92
95
97
96
96
95
94
93
94
98
99
92
87
97
97
94
96
96
98
98
96
95
96
93
98
97
88
86
94
95
93
94
96 96 96
95
93
97
0
10
20
30
40
50
60
70
80
90
100
AU BR CN FR DE IN IT JP NZ PH SG ZA SP UK USA
Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Support for Initiatives – Tracing Apps 64
Levels of Support for Initiatives – Tracing Apps
% who say they support or oppose governments using tracing apps
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Strongly support
41
23
20
38
45
16
25
60
25
14
32
66
11
17
25
35
23
31
24
Somewhat support
32
28
27
28
39
22
31
25
37
29
36
24
29
36
44
34
35
33
26
Neither support nor
oppose
14
29
21
15
12
21
18
5
17
37
19
6
18
22
19
13
17
21
21
Somewhat oppose
6
8
12
8
3
15
11
6
9
11
6
2
16
11
7
5
12
7
9
Strongly oppose
7
13
20
11
1
25
15
4
13
9
7
2
26
15
6
13
13
8
20
% who say they support or oppose governments using tracing apps*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Strongly support
45
42
39
30
39
42
45
38
Somewhat support
31
33
32
29
32
32
32
29
Neither support nor oppose
13
13
16
21
17
12
11
18
Somewhat oppose
8
6
6
8
6
6
6
8
Strongly oppose
4
7
8
12
6
8
7
7
Question: How much do you support or oppose the following? Governments using contact tracing apps / systems to control the spread of the virus.
GWI Coronavirus Research July 2020 | Levels of Support for Initiatives – Demonstrations in Public Places 65
Levels of Support for Initiatives – Demonstrations in Public Places
% who say they support or oppose demonstrators gathering in public places to protest
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Strongly support
13
7
6
9
7
10
9
29
11
4
6
11
13
9
7
14
10
6
18
Somewhat support
14
13
11
12
10
16
19
17
24
10
17
12
19
22
14
16
17
16
19
Neither support nor
oppose
13
17
12
13
11
15
15
6
15
29
20
12
21
26
17
14
18
11
20
Somewhat oppose
14
14
20
14
15
18
21
12
16
16
20
12
21
18
17
15
21
17
12
Strongly oppose
46
49
51
53
57
42
36
36
34
42
37
53
26
25
45
42
34
50
31
% who say they support or oppose demonstrators gathering in public places to protest*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Strongly support
14
15
10
6
11
14
15
13
Somewhat support
16
15
12
11
13
15
15
17
Neither support nor oppose
11
12
15
15
14
12
12
14
Somewhat oppose
15
15
13
16
15
14
14
15
Strongly oppose
43
44
50
52
48
45
44
41
Question: How much do you support or oppose the following? Demonstrators gathering in public places to protest.
GWI Coronavirus Research July 2020 | Levels of Support for Initiatives – Reopening Large Indoor Venues 66
Levels of Support for Initiatives – Reopening Large Indoor Venues
% who say they support or oppose large indoor venues being reopened
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Strongly support
13
9
12
15
9
20
13
25
16
8
13
8
16
16
8
13
8
8
9
Somewhat support
26
26
20
19
32
28
23
24
35
27
33
22
31
36
22
19
25
17
16
Neither support nor
oppose
22
21
24
13
28
22
14
12
16
35
26
18
21
21
20
14
18
22
21
Somewhat oppose
21
23
22
19
22
18
24
18
18
19
19
27
20
17
28
22
26
30
20
Strongly oppose
19
22
22
35
9
12
26
23
15
10
10
24
11
9
22
32
23
25
33
% who say they support or oppose large indoor venues being reopened*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Strongly support
12
15
11
6
12
14
15
13
Somewhat support
26
29
24
16
24
28
27
26
Neither support nor oppose
20
21
24
23
22
21
18
23
Somewhat oppose
24
19
21
25
22
20
20
21
Strongly oppose
18
16
20
30
20
17
20
17
Question: How much do you support or oppose the following? Large indoor venues being re-opened.
GWI Coronavirus Research July 2020 | Vacation Types in Next Year 67
Vacation Types in Next Year
% who say they expect to take the following types of vacation in the next 12 months
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Cruise
4
4
3
5
2
4
4
6
3
1
2
2
2
2
5
4
3
3
7
Domestic vacation in your
country
48
47
25
40
55
45
36
49
49
27
61
37
52
54
14
43
56
38
46
Foreign long-haul vacation
(i.e. in a different part of
the world)
9
13
11
14
6
11
11
16
5
4
10
8
8
7
20
9
6
21
7
Foreign short-haul
vacation (i.e. in a nearby
country)
13
10
34
12
13
15
22
16
12
3
13
12
12
14
32
9
9
29
6
Staycation in your local
area
32
19
12
22
43
14
16
24
23
40
17
29
16
23
20
21
20
20
27
I’m not planning on taking
any vacations
28
33
36
28
24
31
35
28
24
44
23
33
25
24
35
35
24
30
35
% who say they expect to take the following types of vacation in the next 12 months*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Cruise
3
5
3
2
3
4
5
3
Domestic vacation in your country
47
51
46
43
46
51
56
36
Foreign long-haul vacation (i.e. in a different part of
the world)
9
12
7
6
8
11
14
8
Foreign short-haul vacation (i.e. in a nearby country)
10
16
11
8
12
14
17
9
Staycation in your local area
28
34
32
20
32
31
34
25
I’m not planning on taking any vacations
31
24
32
39
30
27
20
41
Question: Which type(s) of vacation do you think you'll take in the next 12 months?
GWI Coronavirus Research July 2020 | Domestic Vacations in Next Year – Trended Data 68
Domestic Vacations in Next Year – Trended Data
% who say they expect to take a domestic vacation in the next 12 months
Question: Which type(s) of vacation do you think you'll take in the next 12 months? Domestic vacation in your own country
50
27
40
55
42
38
50
47
30
59
43
52
49
16
40
54
41
46
47
25
40
55
45
36
49
49
27
61
37
52
54
14
43
56
38
46
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Post-Outbreak Leisure Behaviors 69
Post-Outbreak Leisure Behaviors
% who expect to do the following after the outbreak is over
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Cancel a gym membership
11
9
6
10
10
7
8
18
8
5
7
16
6
7
8
14
12
10
10
Eat out at restaurants less
often
42
31
28
42
39
27
47
55
32
21
28
57
23
33
45
60
34
37
40
Eat at fast-food outlets less
often
31
22
19
31
28
23
31
50
18
11
27
50
20
30
26
43
22
25
21
Visit bars / pubs less often
31
26
21
34
34
20
36
30
22
11
20
41
23
34
23
39
32
37
26
Visit the cinema less often
38
25
19
37
39
23
39
52
25
14
17
47
20
23
31
44
30
28
32
None of these
31
49
54
28
29
52
33
13
47
69
52
14
55
43
35
18
40
44
42
% who expect to do the following after the outbreak is over*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Cancel a gym membership
12
12
10
5
10
12
14
11
Eat out at restaurants less often
42
41
44
38
42
42
42
42
Eat at fast-food outlets less often
39
31
28
21
31
31
33
33
Visit bars / pubs less often
25
34
31
24
28
34
37
26
Visit the cinema less often
44
38
37
28
38
38
41
34
None of these
22
29
36
49
30
32
28
33
Question: After the outbreak is over, do you think you'll do any of the following? “Visiting bars / pubs less often” was shown to those 18+, or 21+ in the U.S.
GWI Coronavirus Research July 2020 | Eating Out at Restaurants Less Often – Trended Data 70
Eating Out at Restaurants Less Often – Trended Data
% who expect to eat out at restaurants less often after the outbreak is over
Question: After the outbreak is over, do you think you'll do any of the following? Eat out at restaurants less often
21
33
47
19
32
54
36
16
29
43
30
48
37
26
32
25
19
36
39
18
38
56
33
18
33
54
19
29
40
48
40
31
39
31
28
42
39
27
47
55
32
21
28
57
23
33
45
60
34
37
40
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Post-Outbreak Behavior Increases 71
Post-Outbreak Behavior Increases
% who say they expect to do the following after the outbreak is over
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Exercise at home more
frequently
43
30
18
38
50
23
20
57
28
14
21
60
30
29
30
50
29
30
31
Shop online more
frequently
49
29
28
53
55
28
31
59
36
23
30
50
46
44
44
55
36
38
36
Use food delivery services
more frequently (e.g. Uber
Eats, Just Eat, Deliveroo,
etc)
22
11
8
38
18
8
9
40
13
6
8
36
12
15
25
38
14
15
12
Use mobile payment
services more frequently
41
15
18
37
51
10
19
59
13
3
14
55
33
36
34
46
19
17
16
Use video calling more
frequently (e.g. FaceTime,
WhatsApp video, etc)
35
20
18
37
39
16
20
52
26
4
21
36
18
25
30
47
30
28
19
Use video conferencing
platforms more frequently
(e.g. Zoom, Hangouts, etc)
27
19
12
27
24
11
16
46
14
8
24
36
13
17
30
34
18
21
23
Work from home more
frequently
27
23
22
35
15
18
20
50
20
10
22
52
24
27
34
41
26
27
27
None of these
16
36
34
11
10
37
34
2
28
63
33
3
25
24
20
7
26
26
33
Question: After the outbreak is over, do you think you'll do any of the following?
GWI Coronavirus Research July 2020 | Post-Outbreak Behavior Increases 72
Post-Outbreak Behavior Increases
% who say they expect to do the following after the outbreak is over*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Exercise at home more frequently
54
45
38
27
44
43
46
39
Shop online more frequently
51
50
49
36
47
50
54
43
Use food delivery services more frequently (e.g. Uber
Eats, Just Eat, Deliveroo, etc)
31
25
15
9
20
24
25
18
Use mobile payment services more frequently
48
42
38
19
36
44
43
36
Use video calling more frequently (e.g. FaceTime,
WhatsApp video, etc)
41
37
32
18
32
38
38
31
Use video conferencing platforms more frequently (e.g.
Zoom, Hangouts, etc)
29
30
23
11
24
29
35
19
Work from home more frequently
31
28
25
18
25
28
33
25
None of these
7
14
21
39
16
16
11
20
Question: After the outbreak is over, do you think you'll do any of the following?
GWI Coronavirus Research July 2020 | Increases in Online Shopping – Trended Data 73
Increases in Online Shopping – Trended Data
% who say they expect to shop online more frequently after the outbreak is over
Question: After the outbreak is over, do you think you'll do any of the following? Shop online more frequently
25
48
49
22
28
52
34
22
34
37
32
49
29
28
31
29
27
48
52
24
30
58
37
23
33
48
46
38 38
49
35
32
32
29
28
53
55
28
31
59
36
23
30
50
46
44
44
55
36
38
36
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 3 (April 22-27) Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Levels of Interest – Enrolling in Online Learning 74
Levels of Interest – Enrolling in Online Learning
% who say they have the following levels of interest in enrolling in online learning courses
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Extremely interested
23
12
11
35
16
12
8
49
15
6
13
38
8
18
18
37
23
10
10
Very interested
28
21
17
31
33
17
19
32
33
13
21
22
21
26
32
30
27
18
16
A little interested
24
25
23
17
31
17
24
11
24
20
30
24
30
27
32
17
21
26
25
Not very interested
11
12
17
8
11
10
15
5
12
22
13
11
21
12
11
7
10
13
14
Not at all interested
15
30
32
9
10
45
34
4
17
38
24
6
21
17
8
9
19
33
35
% who say they have the following levels of interest in enrolling in online learning courses*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Extremely interested
33
26
15
6
21
23
27
23
Very interested
31
32
23
12
28
28
29
26
A little interested
23
24
25
19
23
24
22
24
Not very interested
8
9
14
15
10
11
9
12
Not at all interested
6
10
23
48
17
14
13
16
Question: How interested are you in the following? Enrolling in online learning courses.
GWI Coronavirus Research July 2020 | Levels of Interest – Working from Home Permanently 75
Levels of Interest – Working from Home Permanently
% who say they have the following levels of interest in working from home permanently (instead of attending a workplace / office)
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Extremely interested
25
20
17
34
17
19
17
40
21
16
20
48
22
23
27
43
28
24
27
Very interested
27
21
22
28
29
22
23
29
35
16
25
26
22
28
32
27
29
21
23
A little interested
21
18
15
19
26
15
18
13
19
24
23
19
22
22
21
15
16
18
18
Not very interested
15
12
15
9
21
10
12
12
9
17
11
6
16
13
12
8
8
13
9
Not at all interested
13
30
32
10
8
35
30
6
17
27
21
2
18
14
7
7
19
25
24
% who say they have the following levels of interest in working from home permanently (instead of attending a workplace / office)*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Extremely interested
30
27
22
13
26
25
26
28
Very interested
28
29
24
17
26
28
27
27
A little interested
17
21
22
19
21
21
20
19
Not very interested
15
14
16
11
15
14
17
13
Not at all interested
10
8
16
41
13
13
11
12
Question: How interested are you in the following? Working-from-home permanently (instead of attending a workplace / office).
GWI Coronavirus Research July 2020 | Levels of Interest – Using Alternatives to Public Transport 76
Levels of Interest – Using Alternatives to Public Transport
% who say they have the following levels of interest in using alternatives to public transport
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Extremely interested
24
21
17
28
17
21
15
43
21
12
16
41
13
24
17
41
28
23
19
Very interested
31
24
19
29
36
23
24
34
39
16
21
27
27
35
34
30
30
24
20
A little interested
24
23
23
20
32
19
25
12
20
29
25
22
32
19
31
13
19
24
16
Not very interested
11
10
15
12
12
9
15
7
7
21
15
7
15
8
14
5
11
11
10
Not at all interested
11
22
26
12
3
29
20
4
12
22
23
3
13
14
5
12
13
17
35
% who say they have the following levels of interest in using alternatives to public transport*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Extremely interested
27
25
22
14
22
25
28
22
Very interested
35
33
27
19
30
32
32
31
A little interested
19
24
26
25
24
23
22
24
Not very interested
14
10
10
12
11
10
8
11
Not at all interested
5
8
15
30
13
9
10
13
Question: How interested are you in the following? Using alternatives to public transport.
GWI Coronavirus Research July 2020 | Brand Responses to Black Lives Matter Movement 77
Brand Responses to Black Lives Matter Movement
% who say brands should be doing the following in response to the Black Lives Matter movement
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Asking for feedback from
customers
37
31
22
46
32
22
27
49
33
20
33
48
37
31
27
46
34
32
38
Asking for feedback from
employees
39
32
21
45
36
21
32
46
33
23
40
53
34
35
33
50
35
37
40
Ensuring diversity in
leadership / management
teams
44
37
31
57
44
32
33
48
39
21
44
52
30
35
44
59
43
43
46
Ensuring diversity in their
mix of suppliers
39
35
28
55
38
31
29
42
32
18
36
46
32
33
38
55
34
38
41
Making charitable
donations
40
31
21
50
40
26
34
47
32
20
29
55
33
32
32
51
33
31
36
Reviewing hiring policies
39
34
33
53
31
33
35
46
37
22
37
52
36
41
47
54
42
40
47
Showing support via social
media
47
33
24
56
50
24
30
59
39
25
32
65
31
31
33
57
38
29
34
Supporting local / national
community initiatives
50
41
28
62
53
36
32
55
46
32
43
61
44
41
43
57
47
40
44
None of these
16
38
40
10
10
35
30
5
20
43
32
6
26
30
17
14
22
35
32
Question: Which of these, if any, do you think brands / companies should be doing to support the Black Lives Matter movement?
GWI Coronavirus Research July 2020 | Brand Responses to Black Lives Matter Movement 78
Brand Responses to Black Lives Matter Movement
% who say brands should be doing the following in response to the Black Lives Matter movement*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Asking for feedback from customers
44
38
31
29
37
37
38
36
Asking for feedback from employees
46
39
34
34
41
37
40
37
Ensuring diversity in leadership / management teams
53
44
41
39
48
41
48
40
Ensuring diversity in their mix of suppliers
42
41
36
33
41
38
43
35
Making charitable donations
47
41
36
30
42
38
42
38
Reviewing hiring policies
42
40
35
39
40
37
42
35
Showing support via social media
57
48
42
33
49
46
48
45
Supporting local / national community initiatives
55
50
49
44
52
49
51
47
None of these
6
13
22
34
14
17
13
17
Question: Which of these, if any, do you think brands / companies should be doing to support the Black Lives Matter movement?
GWI Coronavirus Research July 2020 | Importance of Black Lives Matter Movement 79
Importance of Black Lives Matter Movement
% who say that tackling racism has become a more important issue to them following the Black Lives Matter movement
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
Yes
44
16
11
34
65
15
18
46
23
14
16
46
12
9
30
31
23
18
19
No
19
43
41
12
13
39
36
12
17
29
34
9
31
49
27
17
15
41
40
It was already important to
me
25
33
34
48
10
31
38
30
51
22
43
31
39
23
24
46
58
33
34
Not sure
12
9
14
6
11
15
8
13
9
35
7
15
18
20
19
7
5
8
7
% who say that tackling racism has become a more important issue to them following the Black Lives Matter movement*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
Yes
47
49
40
18
46
43
48
42
No
13
19
22
32
16
22
20
19
It was already important to me
29
22
25
35
27
23
25
24
Not sure
11
10
13
15
11
12
7
16
Question: Has the Black Lives Matter movement made tackling racism a more important issue for you?
GWI Coronavirus Research July 2020 | Changing Importance: Companies Behaving More Sustainably 80
Changing Importance: Companies Behaving More Sustainably
% who say that companies behaving more sustainably has taken on the following importance because of coronavirus
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
A lot more important
39
22
19
55
37
22
16
60
38
24
23
63
23
25
25
44
28
23
21
A little more important
33
29
30
24
41
34
32
27
25
24
30
24
31
19
39
28
35
32
25
No change
23
45
43
16
20
40
43
5
29
42
41
9
40
43
29
21
32
41
48
A little less important
3
3
5
3
2
3
5
5
6
3
5
2
4
9
5
4
4
2
3
A lot less important
2
2
4
2
0
2
4
2
3
6
2
2
2
4
3
3
1
3
3
% who say that companies behaving more sustainably has taken on the following importance because of coronavirus*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
A lot more important
47
39
37
27
39
40
48
33
A little more important
32
35
31
23
32
33
30
34
No change
15
21
29
46
25
22
18
27
A little less important
4
3
2
2
2
4
3
4
A lot less important
2
2
2
2
2
2
1
3
Question: Has the importance of any of these things changed for you, because of coronavirus? Companies behaving in more sustainable / eco-friendly ways
GWI Coronavirus Research July 2020 | Companies Behaving More Sustainably – Trended Data 81
Companies Behaving More Sustainably – Trended Data
% who say that companies behaving more sustainably is a lot or a little more important because of coronavirus
Question: Has the importance of any of these things changed for you, because of coronavirus? Companies behaving in more sustainable / eco-friendly ways. Chart illustrates combined responses for A lot more
important, A little more important
55
52
78
82
58
49
87
67
65
54
89
53
62
70
74
65
50
54
51
48
79
78
55
48
88
63
48
52
88
54
44
63
71
64
54
46
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 | Changing Importance: Reducing Carbon Footprint / Environmental Impact 82
Changing Importance: Reducing Carbon Footprint / Environmental Impact
% who say that reducing their carbon footprint / impact on the environment has taken on the following importance because of coronavirus
All
AU
BE
BR
CN
FR
DE
IN
IT
JP
NZ
PH
PL
RO
SG
ZA
SP
UK
USA
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
%
A lot more important
39
23
19
50
38
21
17
62
48
19
23
59
24
33
29
45
29
21
21
A little more important
32
24
31
26
42
31
27
24
20
27
27
26
28
22
34
28
33
28
23
No change
23
46
41
17
17
38
45
6
25
43
42
10
40
33
28
22
31
44
50
A little less important
4
4
5
4
3
6
7
7
4
5
4
4
5
7
6
3
6
4
4
A lot less important
2
3
4
2
1
5
5
2
3
6
4
2
2
5
3
3
2
3
3
% who say that reducing their carbon footprint / impact on the environment has taken on the following importance because of coronavirus*
*Using all country data
Gen Z
Millennials
Gen X
Baby
Boomers
Female
Male
Higher
Income
Lower
Income
%
%
%
%
%
%
%
%
A lot more important
47
40
35
28
39
40
45
33
A little more important
32
33
31
25
32
32
30
34
No change
14
20
29
43
24
21
18
24
A little less important
6
4
3
2
4
4
5
6
A lot less important
2
2
2
2
2
3
2
3
Question: Has the importance of any of these things changed for you, because of coronavirus? Reducing my carbon footprint / impact on the environment
GWI Coronavirus Research July 2020 | Reducing Carbon Footprint – Trended Data 83
Reducing Carbon Footprint – Trended Data
% who say that reducing their carbon footprint / impact on the environment is a lot or little more important because of coronavirus
Question: Has the importance of any of these things changed for you, because of coronavirus? Reducing my carbon footprint / impact on the environment. Chart illustrates combined responses for A lot more
important, A little more important
50
49
78
74
53
43
81
69
52
47
86
54
63
68
70
65
45
48
47
50
76
80
51
44
85
68
46
50
85
53
55
63
73
62
49
43
0
10
20
30
40
50
60
70
80
90
100
AU BE BR CN FR DE IN IT JP NZ PH PL RO SG ZA SP UK USA
Wave 4 (May 19-26) Wave 5 (Jun 29-Jul 2)
GWI Coronavirus Research July 2020 |
84
Jason Mander Chase Buckle Virna Sekuj
Chief Research Officer Trends Manager Strategic Insight Manager
www.globalwebindex.com
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