NationalTrackingPoll#2003128 March31-April01,2020 ...€¦ · NationalTrackingPoll#2003128 March31-April01,2020 CrosstabulationResults Methodology: ThispollwasconductedbetweenMarch31-April1,2020amonganationalsampleof2200Adults

National Tracking Poll #2003128March 31 - April 01, 2020

Crosstabulation Results

Methodology:This poll was conducted between March 31-April 1, 2020 among a national sample of 2200 Adults.The interviews were conducted online and the data were weighted to approximate a target sample ofAdults based on age, educational attainment, gender, race, and region. Results from the full surveyhave a margin of error of plus or minus 2 percentage points.

Table Index

1 Table CMS1: As you may know, a new strain of a virus called coronavirus was identi ed byChinese authorities in early January, and has spread around the world, infecting more than826,000 individuals and killing over 40,700 people. The World Health Organization declaredthis outbreak of the coronavirus is a pandemic, posing a risk to countries outside of China.President Trump declared a public health emergency in the United States shortly after.Basedon what you know, how concerned are you about the outbreak of coronavirus? . . . . . . . . 12

2 Table CMS2: And speci cally, how concerned are you about coronavirus spreading in theUnited States? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

3 Table CMS3_1: To what extent is the coronavirus a health risk in the following places? China 24

4 Table CMS3_2: To what extent is the coronavirus a health risk in the following places? Asia 30

5 Table CMS3_3: To what extent is the coronavirus a health risk in the following places? Europe 36

6 TableCMS3_4: Towhat extent is the coronavirus a health risk in the following places? UnitedStates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

7 Table CMS3_5: To what extent is the coronavirus a health risk in the following places? Globally 48

8 Table CMS3_6: To what extent is the coronavirus a health risk in the following places? TheMiddle East . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54

9 Table CMS3_7: To what extent is the coronavirus a health risk in the following places? SouthAmerica . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60

10 TableCMS3_8: Towhat extent is the coronavirus a health risk in the following places? CentralAmerica . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66

11 Table CMS3_9: To what extent is the coronavirus a health risk in the following places? Yourstate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72

12 Table CMS3_10: To what extent is the coronavirus a health risk in the following places? Yourcommunity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78

13 Table CMS4_1: In light of the outbreak of the coronavirus, are you more or less likely to doeach of the following in the next 6 months, or is there no change? Travel within the U.S. . . . 84

14 Table CMS4_2: In light of the outbreak of the coronavirus, are you more or less likely to doeach of the following in the next 6 months, or is there no change? Travel outside of the U.S. . 90

15 Table CMS4_3: In light of the outbreak of the coronavirus, are you more or less likely to doeach of the following in the next 6 months, or is there no change? Stay overnight at a hotel inthe U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96

16 Table CMS4_4: In light of the outbreak of the coronavirus, are you more or less likely to doeach of the following in the next 6 months, or is there no change? Stay overnight at a hoteloutside of the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102

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National Tracking Poll #2003128, March-April, 2020

17 Table CMS4_5: In light of the outbreak of the coronavirus, are you more or less likely to doeach of the following in the next 6 months, or is there no change? Travel within Asia . . . . . 108

18 Table CMS4_6: In light of the outbreak of the coronavirus, are you more or less likely to doeach of the following in the next 6 months, or is there no change? Travel within Europe . . . 114

19 Table CMS5: Has the coronavirus affected your travel plans over the next three months? . . 120

20 Table CMS6_1: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Health care . . . . . . . . . . . . . . . . . . . . . . . . 127

21 Table CMS6_2: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? American goods . . . . . . . . . . . . . . . . . . . . . . 133

22 Table CMS6_3: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Chinese made goods . . . . . . . . . . . . . . . . . . . . 139

23 Table CMS6_4: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Internationally made goods . . . . . . . . . . . . . . . . 145

24 Table CMS6_5: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Personal hygiene product, such as hand sanitizer andhand soap . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151

25 Table CMS6_6: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Home cleaning products, such as disinfectants . . . . . . 157

26 Table CMS6_7: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Medical supplies, such as medical face masks . . . . . . . 163

27 Table CMS6_8: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Food products grown or produced in China . . . . . . . . 169

28 Table CMS6_9: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Food products grown or produced in Asia . . . . . . . . 175

29 Table CMS6_10: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Restaurant delivery services . . . . . . . . . . . . . . . . 181

30 Table CMS6_11: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Meal kit delivery services, such as Hello Fresh and BlueApron . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187

31 Table CMS6_12: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? On-demand food delivery services, such as DoorDash orGrubhub . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193

32 Table CMS6_13: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Grocery delivery service . . . . . . . . . . . . . . . . . . 199

33 Table CMS6_14: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Movie or TV streaming services . . . . . . . . . . . . . . 205

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34 Table CMS6_15: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Goods from online marketplaces, such as Amazon orWalmart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211

35 Table CMS6_16: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Music streaming services . . . . . . . . . . . . . . . . . 217

36 Table CMS6_17: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Video games . . . . . . . . . . . . . . . . . . . . . . . . 223

37 Table CMS6_18: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Canned goods . . . . . . . . . . . . . . . . . . . . . . . 229

38 Table CMS6_19: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Medicine you are currently prescribed . . . . . . . . . . 235

39 Table CMS6_20: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Beauty products, such as face masks and makeup . . . . 241

40 Table CMS6_21: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Alcoholic beverages . . . . . . . . . . . . . . . . . . . . 247

41 Table CMS7: If a vaccine that protects from the coronavirus became available, would you getvaccinated, or not? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253

42 Table CMS8_1: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? President Donald Trump . . . . . . 259

43 Table CMS8_2: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? Vice President Mike Pence . . . . . 265

44 Table CMS8_3: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? The Centers for Disease Control andPrevention (CDC) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271

45 Table CMS8_4: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? Congress . . . . . . . . . . . . . . . 277

46 Table CMS8_5: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? Your state government . . . . . . . 283

47 Table CMS8_6: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? Your local government . . . . . . . 289

48 Table CMS8_7: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? The United Nations (UN) . . . . . . 295

49 Table CMS8_8: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? The World Health Organization(WHO) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301

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50 Table CMS8_9: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? Airline companies . . . . . . . . . . 307

51 Table CMS8_10: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? The Transportation Security Admin-istration (TSA) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313

52 Table CMS8_11: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? Cruise companies . . . . . . . . . . 319

53 Table CMS8_12: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? Corporations . . . . . . . . . . . . 325

54 Table CMS8_13: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? Restaurants and bars . . . . . . . . 331

55 Table CMS8_14: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? Retail stores . . . . . . . . . . . . . 337

56 Table CMS8_15: Do you approve or disapprove of the job each of the following is doing inhandling the spread of coronavirus in the United States? Grocery stores . . . . . . . . . . . . 343

57 Table CMS9: Thinking about the con rmed cases of the coronavirus in the United States, whodo you think is most to blame for the spread of the coronavirus into the United States? . . . . 349

58 Table CMS10: Which of these statements comes closer to your opinion, even if none is exactlyright? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353

59 Table CMS11_1: How concerned are you that the coronavirus will impact the following? U.S.economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359

60 Table CMS11_2: How concerned are you that the coronavirus will impact the following?Chinese economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365

61 Table CMS11_3: How concerned are you that the coronavirus will impact the following?Global economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 371

62 Table CMS11_4: How concerned are you that the coronavirus will impact the following? Mylocal economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 377

63 Table CMS11_5: How concerned are you that the coronavirus will impact the following? TheEuropean economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383

64 Table CMS11_6: How concerned are you that the coronavirus will impact the following?Middle Eastern economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389

65 Table CMS11_7: How concerned are you that the coronavirus will impact the following? Thehospitality industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395

66 Table CMS11_8: How concerned are you that the coronavirus will impact the following? Myjob . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401

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67 Table CMS11_9: How concerned are you that the coronavirus will impact the following?American job market . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 407

68 Table CMS11_10: How concerned are you that the coronavirus will impact the following?American companies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413

69 Table CMS12_1: To what extent are each of the following effective for preventing the spreadof coronavirus? Face masks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 419

70 Table CMS12_2: To what extent are each of the following effective for preventing the spreadof coronavirus? Hand sanitizer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 425

71 Table CMS12_3: To what extent are each of the following effective for preventing the spreadof coronavirus? Disinfectants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431

72 Table CMS12_4: To what extent are each of the following effective for preventing the spreadof coronavirus? Hand soap . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437

73 Table CMS12_5: To what extent are each of the following effective for preventing the spreadof coronavirus? Natural or organic cleaning products . . . . . . . . . . . . . . . . . . . . . 443

74 Table CMS12_6: To what extent are each of the following effective for preventing the spreadof coronavirus? Social distancing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 449

75 Table CMS13_1: Earlier in the survey you indicated you have plans to travel in the next year.Has the coronavirus affected your travel plans to do the following over the next three months?Vacation on a cruise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455

76 Table CMS13_2: Earlier in the survey you indicated you have plans to travel in the next year.Has the coronavirus affected your travel plans to do the following over the next three months?Travel by train . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 463

77 Table CMS13_3: Earlier in the survey you indicated you have plans to travel in the next year.Has the coronavirus affected your travel plans to do the following over the next three months?Travel by bus . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471

78 Table CMS14_1: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a movie theater . . . . . . . . . . . . . . . . . . . . . . 479

79 Table CMS14_2: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to sporting events . . . . . . . . . . . . . . . . . . . . . . 485

80 Table CMS14_3: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a concert . . . . . . . . . . . . . . . . . . . . . . . . . 491

81 Table CMS14_4: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a shopping mall . . . . . . . . . . . . . . . . . . . . . . 497

82 Table CMS14_5: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to an amusement park . . . . . . . . . . . . . . . . . . . 503

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83 Table CMS14_6: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Take a vacation . . . . . . . . . . . . . . . . . . . . . . . . . 509

84 Table CMS14_7: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a party or social event . . . . . . . . . . . . . . . . . . 515

85 Table CMS14_8: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a religious gathering or meeting . . . . . . . . . . . . . 521

86 Table CMS14_9: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Use public transit . . . . . . . . . . . . . . . . . . . . . . . . 527

87 Table CMS14_10: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Go to the grocery store . . . . . . . . . . . . . . . . . . . . 533

88 Table CMS14_11: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Use a ride-hailing service like Uber or Lyft or take a taxi . . 539

89 Table CMS14_12: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Go out to eat at a restaurant or cafe . . . . . . . . . . . . . 545

90 Table CMS14_13: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Go to a work conference . . . . . . . . . . . . . . . . . . . 551

91 Table CMS14_14: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Go to a theater performance . . . . . . . . . . . . . . . . . 557

92 Table CMS14_15: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Go to a museum . . . . . . . . . . . . . . . . . . . . . . . 563

93 Table CMS14_16: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Go to a political rally . . . . . . . . . . . . . . . . . . . . . 569

94 Table CMS14_17: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Vote in a political election . . . . . . . . . . . . . . . . . . 575

95 Table CMS14_18: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Go to the gym . . . . . . . . . . . . . . . . . . . . . . . . 581

96 Table CMS14_19: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Invest in the stock market . . . . . . . . . . . . . . . . . . 587

97 Table CMS14_20: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Go to the doctor . . . . . . . . . . . . . . . . . . . . . . . 593

98 Table CMS14_21: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Travel in your own car . . . . . . . . . . . . . . . . . . . . 599

99 Table CMS14_22: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Carpool with others . . . . . . . . . . . . . . . . . . . . . 605

100 Table CMS14_23: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Take a public bus . . . . . . . . . . . . . . . . . . . . . . . 611

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101 Table CMS14_24: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Take the subway or public train . . . . . . . . . . . . . . . 617

102 Table CMS14_25: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Stay home in your free time . . . . . . . . . . . . . . . . . 623

103 Table CMS14_26: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Travel by plane domestically . . . . . . . . . . . . . . . . . 629

104 Table CMS14_27: Based on what you know about the coronavirus, are you currently moreor less likely to do the following? Travel by plane internationally . . . . . . . . . . . . . . . 635

105 Table CMS15_1NET: Do you currently own or have any of the following devices in yourhousehold? Please select all that apply. A smart speaker (i.e. Google Home or Amazon’s Alexa) 641

106 Table CMS15_2NET: Do you currently own or have any of the following devices in yourhousehold? Please select all that apply. A smart phone . . . . . . . . . . . . . . . . . . . . . 647

107 Table CMS15_3NET: Do you currently own or have any of the following devices in yourhousehold? Please select all that apply. Electronic gaming system . . . . . . . . . . . . . . . 653

108 Table CMS15_4NET: Do you currently own or have any of the following devices in yourhousehold? Please select all that apply. An e-reader . . . . . . . . . . . . . . . . . . . . . . 659

109 Table CMS15_5NET: Do you currently own or have any of the following devices in yourhousehold? Please select all that apply. None of the above . . . . . . . . . . . . . . . . . . . 665

110 TableCMS16_1: Andwould you say in the pastmonth, you’ve been using each of the followingdevices more, less, or about the same? A smart speaker (i.e. Google Home or Amazon’s Alexa) 671

111 TableCMS16_2: Andwould you say in the pastmonth, you’ve been using each of the followingdevices more, less, or about the same? A smart phone . . . . . . . . . . . . . . . . . . . . . 676

112 TableCMS16_3: Andwould you say in the pastmonth, you’ve been using each of the followingdevices more, less, or about the same? Electronic gaming system . . . . . . . . . . . . . . . . 681

113 TableCMS16_4: Andwould you say in the pastmonth, you’ve been using each of the followingdevices more, less, or about the same? An e-reader . . . . . . . . . . . . . . . . . . . . . . . 686

114 Table CMS17: Based on what you’ve seen, read or heard would you say that the coronaviruspandemic has affected the price of gasoline in your area? . . . . . . . . . . . . . . . . . . . 690

115 TableCMS18: And do you expect to spendmore or less on gasoline because of the coronavirus,or is there no change? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 696

116 Table CMS19_1: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Banks . . . . . . . . . . . . . . . . . . . . . . . . 701

117 Table CMS19_2: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Airlines . . . . . . . . . . . . . . . . . . . . . . . 707

118 Table CMS19_3: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Restaurants . . . . . . . . . . . . . . . . . . . . . 713

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119 Table CMS19_4: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Small businesses . . . . . . . . . . . . . . . . . . 719

120 Table CMS19_5: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Car manufacturers . . . . . . . . . . . . . . . . . 725

121 Table CMS19_6: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Technology companies . . . . . . . . . . . . . . . 731

122 Table CMS19_7: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Local governments . . . . . . . . . . . . . . . . . 737

123 Table CMS19_8: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Movie theater companies . . . . . . . . . . . . . . 743

124 Table CMS19_9: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Hotel companies . . . . . . . . . . . . . . . . . . 749

125 Table CMS19_10: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Retailers . . . . . . . . . . . . . . . . . . . . . . 755

126 Table CMS19_11: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Cruise ship companies . . . . . . . . . . . . . . . 761

127 Table CMS19_12: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Professional sports leagues . . . . . . . . . . . . . 767

128 Table CMS19_13: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Renewable energy industry . . . . . . . . . . . . . 773

129 Table CMS19_14: Would you support or oppose the federal government bailing out the fol-lowing due to the coronavirus pandemic? Oil and gas industry . . . . . . . . . . . . . . . . 779

130 Table CMS20: Generally speaking, which of the following do you believe is most responsiblefor protecting American workers during the coronavirus pandemic? . . . . . . . . . . . . . . 785

131 Table CMS21: In general, how would you rate companies on how they have kept their em-ployees safe during the coronavirus pandemic? . . . . . . . . . . . . . . . . . . . . . . . . . 791

132 Table CMS22_1: In light of the coronavirus pandemic, do you support or oppose each of thefollowing? Companies continuing to pay employees even if their business is closed . . . . . . 797

133 Table CMS22_2: In light of the coronavirus pandemic, do you support or oppose each of thefollowing? Companies providing employees with paid sick leave . . . . . . . . . . . . . . . . 803

134 Table CMS22_3: In light of the coronavirus pandemic, do you support or oppose each of thefollowing? Companies promising to hire back employees who have been laid off . . . . . . . 809

135 Table CMS22_4: In light of the coronavirus pandemic, do you support or oppose each ofthe following? Companies providing employees who continue to work with increased pay orhazard pay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 815

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Morning Consult

136 Table CMS22_5: In light of the coronavirus pandemic, do you support or oppose each of thefollowing? Companies laying off employees who advocated for an employee union . . . . . . 821

137 Table CMS22_6: In light of the coronavirus pandemic, do you support or oppose each of thefollowing? Workers protesting employers who do not provide paid sick leave . . . . . . . . . 827

138 Table CMS22_7: In light of the coronavirus pandemic, do you support or oppose each of thefollowing? Workers protesting employers who do not provide health care . . . . . . . . . . . 833

139 Table CMS22_8: In light of the coronavirus pandemic, do you support or oppose each of thefollowing? Workers protesting employers for increased pay . . . . . . . . . . . . . . . . . . . 839

140 Table CMS23: Generally speaking, do you support or oppose employees’ right to bargain col-lectively for workplace conditions such as pay, health care, and time off. . . . . . . . . . . . . 845

141 Table CMS24: Generally speaking, do you support or oppose labor unions? . . . . . . . . . 851

142 Table CMSdem1_1: In the past year, howmany times have you done the following? Traveledwithin the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 857

143 Table CMSdem1_2: In the past year, howmany times have you done the following? Traveledoutside of the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 863

144 Table CMSdem1_3: In the past year, how many times have you done the following? Stayedovernight at a hotel in the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 869

145 Table CMSdem1_4: In the past year, how many times have you done the following? Stayedovernight at a hotel outside of the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 875

146 Table CMSdem1_5: In the past year, howmany times have you done the following? Traveledby airplane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 881

147 Table CMSdem2_1: And do you currently have plans to do any of the following in the nextyear? Travel within the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 887

148 Table CMSdem2_2: And do you currently have plans to do any of the following in the nextyear? Travel outside of the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 893

149 Table CMSdem2_3: And do you currently have plans to do any of the following in the nextyear? Stay overnight at a hotel in the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . 899

150 Table CMSdem2_4: And do you currently have plans to do any of the following in the nextyear? Stay overnight at a hotel outside of the U.S. . . . . . . . . . . . . . . . . . . . . . . . 905

151 Table CMSdem2_5: And do you currently have plans to do any of the following in the nextyear? Travel by airplane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 911

152 Table CMSdem3_1: In general, what kind of fan do you consider yourself of the following?Film . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 917

153 Table CMSdem3_2: In general, what kind of fan do you consider yourself of the following?Television . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 923

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154 Table CMSdem3_3: In general, what kind of fan do you consider yourself of the following?Music . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 929

155 Table CMSdem3_4: In general, what kind of fan do you consider yourself of the following?Sports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 935

156 Table CMSdem4: Which of the following best describes your current behavior? . . . . . . . 941

157 Summary Statistics of Survey Respondent Demographics . . . . . . . . . . . . . . . . . 949

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Morning ConsultTable CMS1

Crosstabulation Results by Respondent Demographics

Table CMS1: As you may know, a new strain of a virus called coronavirus was identi ed by Chinese authorities in early January, and has spreadaround the world, infecting more than 826,000 individuals and killing over 40,700 people. The World Health Organization declared this outbreak ofthe coronavirus is a pandemic, posing a risk to countries outside of China. President Trump declared a public health emergency in the United Statesshortly after.Based on what you know, how concerned are you about the outbreak of coronavirus?

Demographic Very concernedSomewhatconcerned

Not veryconcerned

Not at allconcerned

Don’t know /No opinion Total N

Adults 65% (1430) 26% (563) 5% (121) 2% (46) 2% (41) 2200Gender: Male 60% (633) 28% (293) 7% (76) 3% (30) 3% (29) 1062Gender: Female 70% (796) 24% (269) 4% (45) 1% (16) 1% (12) 1138Age: 18-29 51% (251) 31% (151) 10% (50) 3% (15) 4% (21) 488Age: 30-44 62% (323) 27% (139) 8% (42) 2% (10) 2% (11) 524Age: 45-54 70% (252) 23% (83) 3% (12) 2% (6) 2% (6) 360Age: 55-64 73% (284) 22% (85) 2% (8) 3% (13) 1% (2) 391Age: 65+ 73% (320) 24% (104) 2% (10) 1% (2) — (0) 436Generation Z: 18-22 45% (114) 35% (87) 13% (32) 2% (6) 5% (12) 251Millennial: Age 23-38 60% (328) 26% (142) 8% (45) 3% (14) 4% (20) 549Generation X: Age 39-54 67% (385) 25% (144) 5% (27) 2% (11) 1% (7) 573Boomers: Age 55-73 72% (524) 24% (174) 2% (16) 2% (14) — (2) 730PID: Dem (no lean) 76% (625) 19% (155) 3% (27) 1% (6) 1% (12) 825PID: Ind (no lean) 56% (384) 29% (199) 8% (52) 4% (26) 3% (22) 683PID: Rep (no lean) 61% (420) 30% (209) 6% (42) 2% (14) 1% (7) 692PID/Gender: DemMen 71% (274) 21% (79) 5% (20) 1% (3) 2% (7) 384PID/Gender: DemWomen 80% (351) 17% (75) 2% (7) 1% (3) 1% (4) 440PID/Gender: Ind Men 48% (162) 31% (106) 11% (36) 5% (17) 5% (18) 338PID/Gender: Ind Women 65% (223) 27% (93) 5% (16) 2% (8) 1% (5) 345PID/Gender: Rep Men 58% (197) 32% (108) 6% (20) 3% (10) 1% (4) 339PID/Gender: Rep Women 63% (223) 29% (101) 6% (22) 1% (5) 1% (3) 353Ideo: Liberal (1-3) 74% (489) 22% (148) 2% (13) — (2) 1% (8) 659Ideo: Moderate (4) 69% (371) 23% (122) 5% (27) 2% (9) 1% (6) 534Ideo: Conservative (5-7) 59% (426) 29% (208) 8% (55) 3% (24) 1% (4) 717

Continued on next page


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Table CMS1



Not veryconcerned

Not at allconcerned


Adults 65% (1430) 26% (563) 5% (121) 2% (46) 2% (41) 2200Educ: < College 63% (957) 26% (392) 7% (99) 2% (29) 2% (35) 1512Educ: Bachelors degree 67% (297) 25% (113) 4% (17) 3% (13) 1% (4) 444Educ: Post-grad 72% (176) 24% (58) 2% (5) 1% (3) 1% (2) 244Income: Under 50k 64% (724) 24% (276) 7% (80) 3% (30) 2% (27) 1136Income: 50k-100k 67% (488) 27% (198) 4% (27) 1% (9) 1% (5) 727Income: 100k+ 65% (218) 26% (89) 4% (15) 2% (7) 3% (9) 337Ethnicity: White 65% (1112) 27% (467) 5% (86) 2% (33) 1% (24) 1722Ethnicity: Hispanic 64% (225) 22% (75) 10% (34) 1% (5) 3% (11) 349Ethnicity: Afr. Am. 68% (188) 16% (44) 8% (22) 3% (7) 5% (14) 274Ethnicity: Other 64% (130) 25% (51) 6% (13) 3% (6) 2% (3) 204All Christian 70% (723) 25% (255) 3% (31) 2% (22) — (4) 1035All Non-Christian 84% (83) 9% (9) 3% (3) 3% (3) 1% (1) 99Atheist 62% (72) 29% (34) 9% (10) — (0) 1% (1) 116Agnostic/Nothing in particular 58% (552) 28% (265) 8% (77) 2% (21) 4% (34) 950Religious Non-Protestant/Catholic 82% (102) 10% (12) 3% (3) 4% (5) 1% (1) 124Evangelical 63% (356) 28% (155) 5% (30) 3% (17) — (3) 561Non-Evangelical 70% (577) 23% (184) 5% (38) 1% (12) 1% (8) 818Community: Urban 68% (359) 22% (115) 3% (18) 4% (19) 3% (14) 525Community: Suburban 64% (703) 27% (300) 6% (65) 1% (13) 2% (17) 1098Community: Rural 64% (369) 25% (147) 7% (38) 2% (14) 2% (10) 577Employ: Private Sector 64% (425) 29% (195) 5% (32) 2% (12) 1% (6) 669Employ: Government 58% (83) 27% (39) 8% (11) 2% (3) 4% (6) 142Employ: Self-Employed 68% (112) 20% (34) 7% (11) 5% (7) — (0) 164Employ: Homemaker 76% (88) 19% (23) 4% (4) — (0) 1% (1) 116Employ: Retired 72% (368) 23% (118) 3% (16) 1% (6) — (2) 510Employ: Unemployed 59% (172) 27% (78) 8% (23) 4% (11) 2% (6) 290Employ: Other 66% (122) 19% (35) 5% (10) 2% (3) 9% (16) 187


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Not veryconcerned

Not at allconcerned


Adults 65% (1430) 26% (563) 5% (121) 2% (46) 2% (41) 2200Military HH: Yes 64% (219) 26% (87) 6% (20) 3% (10) 1% (5) 340Military HH: No 65% (1211) 26% (476) 5% (101) 2% (36) 2% (36) 1860RD/WT: Right Direction 57% (444) 31% (237) 7% (55) 4% (29) 2% (12) 777RD/WT: Wrong Track 69% (985) 23% (326) 5% (66) 1% (17) 2% (29) 1423Trump Job Approve 59% (550) 30% (278) 7% (63) 4% (34) 1% (7) 932Trump Job Disapprove 73% (825) 22% (252) 4% (48) 1% (7) — (5) 1138Trump Job Strongly Approve 61% (321) 27% (143) 6% (32) 5% (24) 1% (4) 524Trump Job Somewhat Approve 56% (229) 33% (136) 8% (31) 2% (10) 1% (3) 408Trump Job Somewhat Disapprove 70% (196) 23% (63) 6% (17) 1% (2) — (1) 279Trump Job Strongly Disapprove 73% (629) 22% (189) 4% (32) 1% (5) — (4) 859Favorable of Trump 59% (523) 30% (266) 7% (58) 3% (28) 1% (11) 886Unfavorable of Trump 72% (833) 23% (263) 4% (50) 1% (12) 1% (7) 1165Very Favorable of Trump 60% (321) 28% (152) 7% (35) 5% (25) 1% (5) 538Somewhat Favorable of Trump 58% (201) 33% (114) 7% (23) 1% (3) 2% (6) 348Somewhat Unfavorable of Trump 62% (132) 30% (64) 5% (12) 2% (4) 1% (2) 214Very Unfavorable of Trump 74% (701) 21% (199) 4% (38) 1% (8) 1% (5) 950#1 Issue: Economy 60% (337) 31% (173) 6% (35) 2% (10) 1% (5) 560#1 Issue: Security 57% (163) 29% (84) 9% (26) 5% (13) 1% (2) 287#1 Issue: Health Care 72% (411) 21% (122) 4% (24) 1% (7) 1% (8) 572#1 Issue: Medicare / Social Security 77% (219) 19% (56) 1% (3) 1% (3) 2% (5) 285#1 Issue: Women’s Issues 58% (69) 31% (37) 5% (6) 1% (1) 4% (5) 118#1 Issue: Education 56% (73) 27% (35) 7% (10) 2% (3) 7% (10) 130#1 Issue: Energy 64% (60) 23% (21) 11% (10) 1% (1) 1% (1) 93#1 Issue: Other 64% (99) 22% (34) 6% (9) 5% (7) 3% (5) 1542018 House Vote: Democrat 79% (599) 17% (132) 2% (17) — (4) 1% (5) 7572018 House Vote: Republican 61% (372) 31% (190) 5% (29) 3% (19) — (3) 6122018 House Vote: Someone else 57% (56) 22% (22) 15% (14) 2% (2) 3% (3) 98



15

Table CMS1



Not veryconcerned

Not at allconcerned


Adults 65% (1430) 26% (563) 5% (121) 2% (46) 2% (41) 22002016 Vote: Hillary Clinton 79% (573) 18% (128) 3% (20) — (2) — (4) 7272016 Vote: Donald Trump 63% (403) 28% (180) 5% (31) 4% (23) — (0) 6372016 Vote: Other 52% (70) 28% (38) 12% (17) 2% (2) 6% (8) 1362016 Vote: Didn’t Vote 55% (383) 31% (216) 8% (53) 3% (18) 4% (29) 700Voted in 2014: Yes 71% (888) 23% (283) 4% (46) 2% (22) 1% (12) 1251Voted in 2014: No 57% (542) 29% (280) 8% (75) 2% (24) 3% (29) 9492012 Vote: Barack Obama 79% (620) 17% (137) 3% (22) — (3) 1% (5) 7862012 Vote: Mitt Romney 62% (308) 30% (149) 5% (23) 3% (13) 1% (3) 4972012 Vote: Other 57% (46) 26% (21) 10% (8) 5% (4) 2% (2) 812012 Vote: Didn’t Vote 54% (451) 31% (255) 8% (69) 3% (25) 4% (31) 8314-Region: Northeast 69% (272) 22% (86) 5% (19) 2% (9) 2% (8) 3944-Region: Midwest 62% (289) 27% (125) 7% (32) 2% (11) 1% (5) 4624-Region: South 65% (535) 27% (223) 5% (38) 2% (15) 2% (13) 8244-Region: West 64% (334) 25% (128) 6% (31) 2% (12) 3% (15) 520Traveled within the U.S.: None 63% (421) 24% (157) 6% (42) 3% (22) 3% (23) 665Traveled within the U.S.: 1 to 3 times 65% (618) 29% (271) 4% (36) 2% (15) 1% (9) 948Traveled within the U.S.: 4 to 6 times 67% (230) 24% (82) 7% (24) 1% (4) — (1) 341Traveled within the U.S.: 7 to 10 times 72% (82) 19% (21) 7% (8) 1% (1) 1% (1) 114Traveled within the U.S.: More than 10 times 60% (79) 24% (32) 8% (11) 3% (4) 5% (7) 132Traveled outside of the U.S.: None 64% (1123) 26% (454) 6% (102) 2% (40) 2% (27) 1747Traveled outside of the U.S.: 1 to 3 times 68% (234) 26% (90) 4% (15) 1% (4) 1% (3) 346Traveled outside of the U.S.: 4 to 6 times 71% (35) 18% (9) 1% (0) 3% (1) 8% (4) 50Stayed at a hotel in the U.S.: None 64% (532) 24% (200) 6% (49) 3% (24) 3% (22) 828Stayed at a hotel in the U.S.: 1 to 3 times 65% (512) 28% (219) 5% (42) 1% (10) 1% (7) 791Stayed at a hotel in the U.S.: 4 to 6 times 65% (182) 27% (75) 4% (13) 1% (4) 2% (6) 280Stayed at a hotel in the U.S.: 7 to 10 times 65% (85) 24% (32) 8% (11) 3% (3) — (0) 131Stayed at a hotel in the U.S.: More than 10 times 70% (118) 22% (36) 3% (6) 2% (4) 3% (5) 169


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Not veryconcerned

Not at allconcerned


Adults 65% (1430) 26% (563) 5% (121) 2% (46) 2% (41) 2200Stayed at a hotel outside of the U.S.: None 64% (1128) 26% (459) 6% (105) 2% (40) 2% (28) 1759Stayed at a hotel outside of the U.S.: 1 to 3 times 67% (177) 26% (67) 4% (11) 1% (2) 2% (6) 263Stayed at a hotel outside of the U.S.: 4 to 6 times 77% (73) 17% (16) — (0) 3% (3) 2% (2) 95Stayed at a hotel outside of the U.S.: More than 10 times 61% (30) 20% (10) 9% (4) 1% (1) 9% (5) 50Traveled by airplane: None 64% (794) 26% (325) 5% (66) 3% (33) 2% (24) 1242Traveled by airplane: 1 to 3 times 68% (445) 25% (163) 5% (32) 1% (6) 1% (7) 654Traveled by airplane: 4 to 6 times 62% (110) 27% (47) 8% (15) 2% (4) 1% (1) 177Traveled by airplane: 7 to 10 times 75% (48) 20% (13) 3% (2) 1% (1) 1% (1) 64Traveled by airplane: More than 10 times 52% (33) 23% (15) 9% (6) 5% (3) 11% (7) 63Travel within the U.S.: Yes 65% (857) 27% (354) 6% (83) 1% (18) 1% (13) 1324Travel within the U.S.: No 65% (573) 24% (209) 4% (38) 3% (28) 3% (28) 876Travel outside of the U.S.: Yes 61% (253) 29% (121) 6% (26) 1% (5) 2% (9) 414Travel outside of the U.S.: No 66% (1177) 25% (441) 5% (95) 2% (41) 2% (32) 1786Stay at a hotel in the U.S.: Yes 65% (734) 27% (301) 6% (72) 1% (15) 1% (11) 1132Stay at a hotel in the U.S.: No 65% (695) 25% (262) 5% (49) 3% (31) 3% (29) 1068Stay at a hotel outside of the U.S.: Yes 65% (276) 27% (114) 4% (17) 1% (4) 3% (11) 422Stay at a hotel outside of the U.S.: No 65% (1154) 25% (448) 6% (104) 2% (42) 2% (29) 1778Travel by airplane: Yes 63% (509) 27% (219) 6% (49) 2% (13) 1% (12) 802Travel by airplane: No 66% (920) 25% (344) 5% (72) 2% (33) 2% (29) 1398Film: An avid fan 72% (552) 19% (146) 5% (37) 1% (11) 2% (15) 761Film: A casual fan 61% (712) 31% (357) 5% (63) 2% (18) 1% (13) 1164Film: Not a fan 60% (166) 22% (59) 7% (21) 6% (17) 5% (12) 275Television: An avid fan 76% (783) 18% (182) 4% (42) 1% (13) 1% (12) 1033Television: A casual fan 57% (568) 33% (326) 7% (66) 2% (23) 1% (14) 998Television: Not a fan 46% (78) 32% (55) 7% (12) 6% (9) 8% (14) 169Music: An avid fan 67% (719) 23% (250) 6% (59) 2% (19) 2% (20) 1067Music: A casual fan 64% (658) 28% (283) 6% (58) 2% (19) 1% (8) 1026Music: Not a fan 49% (52) 28% (30) 4% (4) 7% (8) 12% (13) 107



17

Table CMS1



Not veryconcerned

Not at allconcerned


Adults 65% (1430) 26% (563) 5% (121) 2% (46) 2% (41) 2200Sports: An avid fan 66% (408) 24% (148) 6% (35) 2% (10) 3% (18) 619Sports: A casual fan 65% (565) 27% (233) 5% (46) 2% (14) 1% (11) 868Sports: Not a fan 64% (457) 25% (181) 6% (40) 3% (22) 2% (12) 712Socializing in public spaces 51% (34) 11% (7) 20% (14) 17% (11) 1% (1) 67Less socializing in public spaces 48% (68) 30% (43) 12% (17) 6% (8) 4% (6) 141No public spaces, socializing in-person in home 58% (182) 31% (98) 9% (29) 2% (6) — (0) 315No public spaces or in-person, socializing virtually 70% (683) 26% (251) 4% (38) 1% (6) — (4) 982No public spaces, no socializing 71% (413) 24% (142) 3% (17) 1% (6) 1% (5) 583Film Fan 66% (1264) 26% (503) 5% (100) 2% (29) 1% (28) 1925Television Fan 67% (1351) 25% (508) 5% (108) 2% (37) 1% (26) 2031Music Fan 66% (1377) 25% (533) 6% (117) 2% (38) 1% (28) 2093Sports Fan 65% (973) 26% (381) 5% (81) 2% (24) 2% (28) 1488Traveled outside of U.S. in past year 1+ times 68% (306) 24% (109) 4% (18) 1% (5) 3% (14) 453Frequent Flyer 63% (191) 24% (75) 7% (23) 2% (7) 3% (9) 304Concerned about coronavirus 72% (1430) 28% (563) — (0) — (0) — (0) 1993Concerned about spread of coronavirus in US 70% (1427) 27% (549) 2% (43) — (5) — (3) 2028Would get coronavirus vaccine 72% (1106) 24% (367) 3% (47) 1% (12) 1% (8) 1540Would not get coronavirus vaccine 42% (95) 30% (67) 18% (41) 8% (19) 2% (4) 225Stayed at a hotel in the U.S.: 4+ times 66% (385) 25% (143) 5% (29) 2% (12) 2% (11) 580Stayed at a hotel outside of the U.S.: 1+ times 69% (302) 24% (104) 4% (16) 1% (6) 3% (13) 441Vaccinated for Flu 72% (777) 23% (247) 4% (39) 1% (11) — (3) 1077Not vaccinated for Flu 58% (652) 28% (316) 7% (82) 3% (35) 3% (38) 1123Note: Row proportions may total to larger than one-hundred percent due to rounding. For more information visit MorningConsultIntelligence.com.

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Table CMS2: And speci cally, how concerned are you about coronavirus spreading in the United States?


Not veryconcerned

Not at allconcerned


Adults 72% (1582) 20% (446) 4% (97) 2% (35) 2% (40) 2200Gender: Male 66% (702) 23% (246) 6% (60) 2% (25) 3% (29) 1062Gender: Female 77% (880) 18% (200) 3% (38) 1% (9) 1% (11) 1138Age: 18-29 61% (296) 25% (121) 8% (39) 2% (10) 5% (23) 488Age: 30-44 68% (355) 23% (121) 6% (34) 1% (4) 2% (11) 524Age: 45-54 78% (279) 18% (64) 2% (8) 1% (4) 1% (5) 360Age: 55-64 79% (308) 17% (65) 1% (6) 3% (12) — (1) 391Age: 65+ 79% (344) 18% (76) 3% (12) 1% (4) — (0) 436Generation Z: 18-22 59% (149) 24% (60) 10% (25) 2% (4) 5% (12) 251Millennial: Age 23-38 65% (354) 24% (132) 6% (32) 2% (9) 4% (22) 549Generation X: Age 39-54 74% (426) 20% (113) 4% (23) 1% (6) 1% (5) 573Boomers: Age 55-73 78% (568) 18% (131) 2% (16) 2% (14) — (1) 730PID: Dem (no lean) 83% (686) 12% (98) 3% (24) — (2) 2% (14) 825PID: Ind (no lean) 64% (435) 25% (168) 5% (37) 3% (22) 3% (21) 683PID: Rep (no lean) 66% (460) 26% (181) 5% (36) 2% (11) 1% (5) 692PID/Gender: DemMen 78% (300) 14% (54) 5% (19) — (2) 3% (10) 384PID/Gender: DemWomen 88% (387) 10% (44) 1% (5) — (1) 1% (4) 440PID/Gender: Ind Men 57% (192) 27% (92) 6% (21) 5% (16) 5% (16) 338PID/Gender: Ind Women 70% (243) 22% (76) 5% (16) 2% (5) 1% (5) 345PID/Gender: Rep Men 62% (210) 30% (100) 6% (20) 2% (7) 1% (2) 339PID/Gender: Rep Women 71% (250) 23% (80) 5% (16) 1% (3) 1% (3) 353Ideo: Liberal (1-3) 80% (525) 18% (116) 1% (9) — (0) 1% (9) 659Ideo: Moderate (4) 76% (407) 17% (93) 4% (19) 2% (10) 1% (6) 534Ideo: Conservative (5-7) 66% (475) 23% (168) 7% (53) 3% (19) — (2) 717Educ: < College 70% (1056) 21% (324) 5% (74) 2% (24) 2% (34) 1512Educ: Bachelors degree 75% (334) 18% (80) 5% (20) 2% (7) 1% (3) 444Educ: Post-grad 79% (192) 17% (42) 2% (4) 1% (3) 1% (3) 244Income: Under 50k 70% (794) 21% (236) 5% (56) 2% (25) 2% (25) 1136Income: 50k-100k 73% (532) 22% (158) 3% (25) 1% (7) 1% (5) 727Income: 100k+ 76% (255) 16% (53) 5% (16) 1% (3) 3% (10) 337Ethnicity: White 72% (1234) 22% (371) 4% (71) 1% (22) 1% (24) 1722Ethnicity: Hispanic 68% (238) 20% (68) 8% (29) 1% (2) 3% (12) 349



19

Table CMS2



Not veryconcerned

Not at allconcerned


Adults 72% (1582) 20% (446) 4% (97) 2% (35) 2% (40) 2200Ethnicity: Afr. Am. 73% (201) 13% (37) 5% (15) 3% (7) 5% (14) 274Ethnicity: Other 72% (146) 19% (39) 6% (12) 3% (5) 1% (2) 204All Christian 77% (792) 19% (193) 3% (30) 2% (17) — (3) 1035All Non-Christian 78% (77) 15% (15) 4% (3) 2% (2) 1% (1) 99Atheist 74% (86) 20% (23) 4% (5) — (1) 1% (1) 116Agnostic/Nothing in particular 66% (625) 23% (214) 6% (59) 2% (15) 4% (36) 950Religious Non-Protestant/Catholic 77% (96) 16% (20) 3% (4) 3% (3) 1% (1) 124Evangelical 69% (385) 23% (128) 6% (31) 2% (14) 1% (3) 561Non-Evangelical 78% (640) 16% (131) 4% (33) 1% (9) 1% (5) 818Community: Urban 73% (385) 18% (95) 3% (16) 3% (14) 3% (15) 525Community: Suburban 72% (790) 21% (235) 4% (47) 1% (9) 2% (18) 1098Community: Rural 71% (407) 20% (117) 6% (34) 2% (11) 1% (8) 577Employ: Private Sector 72% (480) 23% (152) 4% (29) 1% (5) 1% (4) 669Employ: Government 70% (99) 19% (27) 5% (7) 3% (4) 3% (5) 142Employ: Self-Employed 73% (119) 17% (27) 7% (12) 3% (4) 1% (1) 164Employ: Homemaker 82% (95) 15% (17) 2% (3) — (0) 1% (1) 116Employ: Retired 78% (395) 17% (88) 3% (16) 2% (8) — (2) 510Employ: Unemployed 67% (194) 23% (68) 5% (13) 3% (9) 2% (6) 290Employ: Other 67% (125) 21% (39) 2% (4) 1% (2) 9% (16) 187Military HH: Yes 72% (245) 21% (73) 3% (11) 2% (8) 1% (3) 340Military HH: No 72% (1337) 20% (373) 5% (86) 1% (27) 2% (37) 1860RD/WT: Right Direction 64% (500) 26% (199) 6% (46) 3% (22) 1% (11) 777RD/WT: Wrong Track 76% (1082) 17% (248) 4% (51) 1% (12) 2% (29) 1423Trump Job Approve 66% (612) 25% (234) 6% (53) 3% (27) 1% (6) 932Trump Job Disapprove 80% (908) 16% (184) 3% (34) — (4) 1% (7) 1138Trump Job Strongly Approve 66% (347) 24% (127) 5% (27) 4% (20) — (2) 524Trump Job Somewhat Approve 65% (265) 26% (107) 6% (26) 2% (7) 1% (4) 408Trump Job Somewhat Disapprove 76% (214) 17% (48) 5% (13) 1% (2) 1% (3) 279Trump Job Strongly Disapprove 81% (695) 16% (136) 2% (21) — (2) 1% (4) 859Favorable of Trump 65% (575) 26% (228) 6% (51) 3% (22) 1% (10) 886Unfavorable of Trump 80% (928) 16% (183) 3% (37) 1% (9) 1% (8) 1165


20




Not veryconcerned

Not at allconcerned


Adults 72% (1582) 20% (446) 4% (97) 2% (35) 2% (40) 2200Very Favorable of Trump 65% (347) 25% (134) 6% (34) 4% (20) 1% (3) 538Somewhat Favorable of Trump 66% (228) 27% (94) 5% (16) 1% (2) 2% (7) 348Somewhat Unfavorable of Trump 74% (159) 20% (42) 3% (7) 2% (4) 1% (2) 214Very Unfavorable of Trump 81% (769) 15% (141) 3% (30) 1% (5) 1% (6) 950#1 Issue: Economy 70% (394) 23% (127) 5% (28) 1% (7) 1% (4) 560#1 Issue: Security 63% (180) 25% (71) 8% (22) 4% (12) 1% (2) 287#1 Issue: Health Care 77% (441) 18% (105) 3% (14) — (3) 2% (9) 572#1 Issue: Medicare / Social Security 80% (228) 15% (43) 2% (6) 1% (3) 2% (5) 285#1 Issue: Women’s Issues 70% (82) 23% (27) 3% (4) — (0) 5% (5) 118#1 Issue: Education 64% (84) 19% (25) 7% (10) 3% (4) 6% (8) 130#1 Issue: Energy 68% (63) 21% (20) 10% (9) 1% (1) 1% (1) 93#1 Issue: Other 71% (110) 18% (28) 3% (5) 3% (5) 4% (7) 1542018 House Vote: Democrat 85% (642) 12% (92) 2% (13) — (2) 1% (7) 7572018 House Vote: Republican 67% (412) 25% (155) 5% (28) 2% (15) — (3) 6122018 House Vote: Someone else 63% (62) 20% (20) 9% (9) 3% (3) 3% (3) 982016 Vote: Hillary Clinton 85% (617) 12% (90) 2% (15) — (1) 1% (5) 7272016 Vote: Donald Trump 68% (436) 25% (156) 4% (27) 3% (18) — (0) 6372016 Vote: Other 62% (85) 18% (25) 11% (15) 2% (3) 6% (8) 1362016 Vote: Didn’t Vote 63% (444) 25% (175) 6% (41) 2% (12) 4% (27) 700Voted in 2014: Yes 77% (961) 18% (220) 3% (37) 2% (20) 1% (13) 1251Voted in 2014: No 65% (620) 24% (226) 6% (61) 2% (15) 3% (27) 9492012 Vote: Barack Obama 86% (674) 11% (89) 2% (12) 1% (5) 1% (6) 7862012 Vote: Mitt Romney 68% (337) 26% (129) 4% (19) 2% (9) 1% (3) 4972012 Vote: Other 65% (53) 17% (14) 10% (8) 5% (4) 2% (2) 812012 Vote: Didn’t Vote 62% (513) 26% (214) 7% (58) 2% (16) 4% (29) 8314-Region: Northeast 76% (297) 17% (66) 3% (14) 2% (9) 2% (8) 3944-Region: Midwest 72% (333) 20% (93) 5% (23) 2% (8) 1% (5) 4624-Region: South 71% (582) 22% (182) 4% (36) 2% (13) 1% (12) 8244-Region: West 71% (369) 20% (105) 5% (25) 1% (6) 3% (15) 520



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Table CMS2



Not veryconcerned

Not at allconcerned


Adults 72% (1582) 20% (446) 4% (97) 2% (35) 2% (40) 2200Traveled within the U.S.: None 71% (471) 19% (128) 4% (28) 2% (15) 3% (23) 665Traveled within the U.S.: 1 to 3 times 72% (686) 22% (209) 4% (33) 1% (13) 1% (7) 948Traveled within the U.S.: 4 to 6 times 74% (252) 18% (62) 6% (22) 1% (3) 1% (3) 341Traveled within the U.S.: 7 to 10 times 75% (85) 16% (18) 8% (9) — (1) 1% (1) 114Traveled within the U.S.: More than 10 times 66% (87) 22% (29) 4% (6) 2% (3) 5% (7) 132Traveled outside of the U.S.: None 71% (1247) 21% (364) 5% (83) 2% (29) 1% (25) 1747Traveled outside of the U.S.: 1 to 3 times 76% (263) 18% (64) 3% (11) 2% (5) 1% (3) 346Traveled outside of the U.S.: 4 to 6 times 66% (33) 20% (10) 4% (2) — (0) 10% (5) 50Stayed at a hotel in the U.S.: None 71% (588) 20% (168) 4% (34) 2% (17) 3% (21) 828Stayed at a hotel in the U.S.: 1 to 3 times 73% (581) 19% (154) 5% (39) 1% (10) 1% (7) 791Stayed at a hotel in the U.S.: 4 to 6 times 70% (196) 23% (65) 4% (11) 1% (2) 2% (6) 280Stayed at a hotel in the U.S.: 7 to 10 times 69% (90) 23% (30) 5% (6) 2% (3) 1% (1) 131Stayed at a hotel in the U.S.: More than 10 times 75% (127) 17% (29) 4% (7) 1% (2) 3% (5) 169Stayed at a hotel outside of the U.S.: None 72% (1262) 20% (357) 5% (85) 2% (29) 1% (26) 1759Stayed at a hotel outside of the U.S.: 1 to 3 times 73% (191) 22% (57) 2% (6) 1% (2) 2% (6) 263Stayed at a hotel outside of the U.S.: 4 to 6 times 74% (70) 18% (17) 1% (1) 3% (2) 3% (3) 95Stayed at a hotel outside of the U.S.: More than 10 times 61% (31) 19% (10) 9% (4) 1% (1) 9% (5) 50Traveled by airplane: None 71% (881) 21% (264) 4% (50) 2% (25) 2% (22) 1242Traveled by airplane: 1 to 3 times 74% (487) 20% (131) 3% (22) 1% (5) 1% (8) 654Traveled by airplane: 4 to 6 times 71% (126) 17% (30) 10% (18) 1% (2) 1% (1) 177Traveled by airplane: 7 to 10 times 72% (46) 21% (13) 3% (2) — (0) 3% (2) 64Traveled by airplane: More than 10 times 66% (41) 13% (8) 8% (5) 2% (2) 11% (7) 63Travel within the U.S.: Yes 71% (943) 21% (283) 6% (74) 1% (13) 1% (12) 1324Travel within the U.S.: No 73% (639) 19% (163) 3% (24) 3% (22) 3% (28) 876Travel outside of the U.S.: Yes 68% (283) 23% (96) 5% (21) 1% (5) 2% (9) 414Travel outside of the U.S.: No 73% (1299) 20% (351) 4% (77) 2% (29) 2% (31) 1786Stay at a hotel in the U.S.: Yes 71% (807) 21% (240) 6% (63) 1% (11) 1% (11) 1132Stay at a hotel in the U.S.: No 73% (775) 19% (206) 3% (34) 2% (23) 3% (29) 1068Stay at a hotel outside of the U.S.: Yes 71% (300) 22% (93) 4% (15) — (2) 3% (13) 422Stay at a hotel outside of the U.S.: No 72% (1282) 20% (354) 5% (82) 2% (33) 2% (27) 1778


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Not veryconcerned

Not at allconcerned


Adults 72% (1582) 20% (446) 4% (97) 2% (35) 2% (40) 2200Travel by airplane: Yes 70% (565) 21% (171) 5% (44) 1% (10) 2% (13) 802Travel by airplane: No 73% (1017) 20% (275) 4% (54) 2% (24) 2% (27) 1398Film: An avid fan 79% (604) 13% (100) 4% (33) 1% (7) 2% (16) 761Film: A casual fan 69% (800) 25% (292) 4% (45) 1% (15) 1% (11) 1164Film: Not a fan 64% (177) 20% (54) 7% (19) 4% (12) 5% (13) 275Television: An avid fan 81% (836) 14% (140) 3% (32) 1% (12) 1% (13) 1033Television: A casual fan 66% (661) 25% (254) 5% (54) 2% (17) 1% (12) 998Television: Not a fan 50% (84) 31% (53) 7% (12) 4% (6) 9% (15) 169Music: An avid fan 74% (793) 18% (192) 4% (46) 1% (14) 2% (22) 1067Music: A casual fan 72% (739) 22% (221) 4% (46) 1% (14) 1% (7) 1026Music: Not a fan 46% (49) 31% (34) 5% (6) 6% (7) 11% (12) 107Sports: An avid fan 72% (443) 21% (127) 4% (25) 1% (6) 3% (18) 619Sports: A casual fan 74% (641) 19% (167) 5% (42) 1% (10) 1% (9) 868Sports: Not a fan 70% (497) 21% (152) 4% (31) 3% (19) 2% (14) 712Socializing in public spaces 53% (36) 15% (10) 18% (12) 13% (9) 1% (1) 67Less socializing in public spaces 50% (71) 33% (47) 8% (11) 3% (4) 5% (7) 141No public spaces, socializing in-person in home 68% (215) 22% (68) 9% (29) 1% (3) — (0) 315No public spaces or in-person, socializing virtually 79% (774) 18% (172) 3% (27) 1% (6) — (2) 982No public spaces, no socializing 74% (434) 22% (127) 2% (12) 1% (5) 1% (5) 583Film Fan 73% (1405) 20% (392) 4% (78) 1% (23) 1% (27) 1925Television Fan 74% (1498) 19% (394) 4% (86) 1% (29) 1% (25) 2031Music Fan 73% (1532) 20% (413) 4% (92) 1% (28) 1% (28) 2093Sports Fan 73% (1084) 20% (294) 4% (67) 1% (16) 2% (26) 1488Traveled outside of U.S. in past year 1+ times 74% (335) 18% (82) 3% (15) 1% (5) 3% (15) 453Frequent Flyer 70% (213) 17% (51) 8% (25) 1% (4) 3% (10) 304Concerned about coronavirus 79% (1575) 20% (402) 1% (12) — (2) — (2) 1993Concerned about spread of coronavirus in US 78% (1582) 22% (446) — (0) — (0) — (0) 2028Would get coronavirus vaccine 78% (1209) 18% (280) 2% (31) 1% (10) 1% (10) 1540Would not get coronavirus vaccine 48% (108) 28% (63) 16% (35) 6% (13) 2% (5) 225Stayed at a hotel in the U.S.: 4+ times 71% (413) 21% (124) 4% (24) 1% (7) 2% (12) 580Stayed at a hotel outside of the U.S.: 1+ times 73% (320) 20% (89) 3% (12) 1% (5) 3% (14) 441



23

Table CMS2



Not veryconcerned

Not at allconcerned


Adults 72% (1582) 20% (446) 4% (97) 2% (35) 2% (40) 2200Vaccinated for Flu 79% (848) 18% (193) 2% (25) 1% (6) — (4) 1077Not vaccinated for Flu 65% (733) 23% (253) 6% (72) 3% (28) 3% (36) 1123Note: Row proportions may total to larger than one-hundred percent due to rounding. For more information visit MorningConsultIntelligence.com.


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Morning ConsultTable CMS3_1

Table CMS3_1: To what extent is the coronavirus a health risk in the following places?China

DemographicIt is a severehealth risk

It is a moderatehealth risk

It is a minorhealth risk

It is not ahealth risk at

allDon’t know /No opinion Total N

Adults 75% (1639) 13% (293) 3% (63) 1% (31) 8% (173) 2200Gender: Male 72% (768) 15% (160) 4% (38) 1% (13) 8% (84) 1062Gender: Female 77% (871) 12% (134) 2% (26) 2% (18) 8% (89) 1138Age: 18-29 69% (337) 16% (77) 3% (13) 3% (13) 10% (48) 488Age: 30-44 68% (357) 17% (88) 3% (16) 2% (10) 10% (53) 524Age: 45-54 79% (283) 11% (38) 3% (12) — (2) 7% (25) 360Age: 55-64 78% (305) 12% (46) 3% (12) — (2) 7% (26) 391Age: 65+ 82% (357) 10% (44) 2% (10) 1% (5) 5% (21) 436Generation Z: 18-22 67% (169) 17% (43) 4% (10) 3% (8) 9% (22) 251Millennial: Age 23-38 68% (373) 16% (89) 2% (12) 2% (13) 11% (62) 549Generation X: Age 39-54 76% (436) 13% (72) 3% (19) 1% (4) 7% (42) 573Boomers: Age 55-73 80% (583) 11% (79) 3% (19) 1% (4) 6% (44) 730PID: Dem (no lean) 78% (647) 14% (112) 2% (18) 1% (10) 4% (37) 825PID: Ind (no lean) 67% (461) 14% (98) 4% (28) 2% (11) 12% (85) 683PID: Rep (no lean) 77% (532) 12% (83) 2% (17) 1% (9) 7% (51) 692PID/Gender: DemMen 78% (300) 15% (56) 2% (8) 1% (4) 4% (17) 384PID/Gender: DemWomen 79% (347) 13% (56) 2% (10) 2% (7) 5% (20) 440PID/Gender: Ind Men 62% (210) 16% (54) 5% (16) 2% (8) 15% (50) 338PID/Gender: Ind Women 73% (251) 13% (44) 3% (12) 1% (4) 10% (35) 345PID/Gender: Rep Men 76% (258) 15% (49) 4% (13) — (1) 5% (17) 339PID/Gender: Rep Women 78% (274) 10% (34) 1% (4) 2% (8) 10% (34) 353Ideo: Liberal (1-3) 77% (507) 15% (102) 4% (23) — (3) 4% (24) 659Ideo: Moderate (4) 72% (384) 17% (90) 3% (15) 2% (9) 7% (36) 534Ideo: Conservative (5-7) 77% (556) 11% (81) 3% (20) 1% (10) 7% (50) 717Educ: < College 75% (1140) 11% (169) 2% (36) 2% (25) 9% (143) 1512Educ: Bachelors degree 73% (322) 18% (81) 4% (18) 1% (2) 4% (20) 444Educ: Post-grad 72% (177) 18% (44) 4% (9) 2% (4) 4% (11) 244Income: Under 50k 75% (855) 11% (122) 2% (28) 2% (19) 10% (113) 1136Income: 50k-100k 75% (544) 16% (113) 3% (19) 1% (9) 6% (43) 727Income: 100k+ 71% (241) 17% (59) 5% (16) 1% (3) 5% (18) 337



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Table CMS3_1







Adults 75% (1639) 13% (293) 3% (63) 1% (31) 8% (173) 2200Ethnicity: White 76% (1315) 13% (216) 3% (48) 1% (14) 7% (129) 1722Ethnicity: Hispanic 72% (252) 17% (58) 2% (6) 3% (10) 6% (23) 349Ethnicity: Afr. Am. 74% (202) 13% (35) 1% (4) 3% (7) 9% (26) 274Ethnicity: Other 60% (122) 21% (43) 6% (11) 5% (10) 9% (18) 204All Christian 80% (829) 11% (118) 2% (26) 1% (14) 5% (49) 1035All Non-Christian 69% (68) 15% (15) 5% (5) 1% (1) 10% (9) 99Atheist 67% (78) 19% (22) 9% (10) — (1) 4% (5) 116Agnostic/Nothing in particular 70% (664) 15% (138) 2% (22) 2% (16) 12% (109) 950Religious Non-Protestant/Catholic 70% (86) 13% (17) 4% (5) 4% (5) 9% (11) 124Evangelical 79% (441) 11% (62) 2% (13) 2% (9) 6% (36) 561Non-Evangelical 78% (639) 11% (93) 2% (19) 1% (10) 7% (57) 818Community: Urban 74% (389) 14% (73) 3% (16) 3% (15) 6% (32) 525Community: Suburban 75% (828) 15% (163) 3% (29) 1% (7) 6% (71) 1098Community: Rural 73% (423) 10% (58) 3% (18) 2% (9) 12% (70) 577Employ: Private Sector 75% (503) 15% (103) 3% (20) 1% (6) 6% (37) 669Employ: Government 66% (95) 18% (25) 4% (5) 3% (4) 9% (13) 142Employ: Self-Employed 74% (120) 18% (29) 3% (4) 1% (2) 5% (9) 164Employ: Homemaker 72% (84) 17% (19) 1% (1) 2% (2) 8% (9) 116Employ: Retired 79% (400) 11% (54) 4% (19) 1% (7) 6% (28) 510Employ: Unemployed 75% (219) 8% (24) 3% (8) 1% (3) 12% (36) 290Employ: Other 73% (137) 6% (11) 1% (2) 3% (5) 17% (32) 187Military HH: Yes 75% (254) 14% (47) 3% (11) 1% (3) 7% (25) 340Military HH: No 74% (1385) 13% (247) 3% (53) 2% (28) 8% (148) 1860RD/WT: Right Direction 75% (580) 13% (100) 2% (18) 2% (12) 9% (67) 777RD/WT: Wrong Track 74% (1059) 14% (194) 3% (45) 1% (19) 7% (106) 1423Trump Job Approve 76% (707) 12% (112) 3% (28) 1% (14) 8% (73) 932Trump Job Disapprove 76% (864) 15% (173) 3% (34) 1% (17) 4% (51) 1138


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Adults 75% (1639) 13% (293) 3% (63) 1% (31) 8% (173) 2200Trump Job Strongly Approve 80% (418) 9% (50) 2% (12) 1% (4) 8% (40) 524Trump Job Somewhat Approve 71% (288) 15% (62) 4% (16) 2% (10) 8% (32) 408Trump Job Somewhat Disapprove 74% (208) 14% (40) 1% (4) 3% (7) 7% (21) 279Trump Job Strongly Disapprove 76% (656) 15% (133) 3% (30) 1% (10) 4% (30) 859Favorable of Trump 77% (686) 12% (102) 3% (22) 1% (7) 8% (69) 886Unfavorable of Trump 76% (881) 15% (180) 3% (32) 1% (16) 5% (56) 1165Very Favorable of Trump 80% (431) 9% (51) 3% (14) 1% (3) 7% (39) 538Somewhat Favorable of Trump 73% (255) 15% (51) 2% (8) 1% (4) 9% (30) 348Somewhat Unfavorable of Trump 72% (154) 16% (35) 1% (1) 2% (4) 9% (20) 214Very Unfavorable of Trump 76% (727) 15% (145) 3% (31) 1% (12) 4% (36) 950#1 Issue: Economy 72% (406) 15% (87) 3% (17) 2% (10) 7% (41) 560#1 Issue: Security 81% (233) 9% (26) 2% (6) 1% (2) 6% (19) 287#1 Issue: Health Care 75% (429) 15% (85) 3% (18) 1% (6) 6% (34) 572#1 Issue: Medicare / Social Security 83% (236) 9% (26) 2% (5) 2% (5) 5% (13) 285#1 Issue: Women’s Issues 76% (89) 9% (11) 4% (5) 1% (1) 10% (11) 118#1 Issue: Education 61% (80) 14% (19) 2% (3) 4% (5) 18% (23) 130#1 Issue: Energy 67% (62) 21% (19) 3% (3) — (0) 8% (8) 93#1 Issue: Other 67% (103) 14% (21) 4% (6) — (1) 15% (24) 1542018 House Vote: Democrat 78% (589) 15% (113) 2% (18) 1% (7) 4% (30) 7572018 House Vote: Republican 80% (490) 11% (69) 3% (16) — (3) 6% (35) 6122018 House Vote: Someone else 65% (63) 14% (14) 3% (3) 2% (2) 16% (16) 982016 Vote: Hillary Clinton 78% (569) 14% (102) 3% (19) 1% (8) 4% (30) 7272016 Vote: Donald Trump 78% (499) 12% (76) 3% (17) — (2) 7% (43) 6372016 Vote: Other 67% (91) 12% (17) 5% (7) 2% (2) 14% (19) 1362016 Vote: Didn’t Vote 69% (480) 14% (99) 3% (21) 3% (19) 12% (81) 700Voted in 2014: Yes 78% (975) 13% (162) 3% (31) 1% (13) 6% (69) 1251Voted in 2014: No 70% (664) 14% (131) 3% (32) 2% (18) 11% (104) 949



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Table CMS3_1







Adults 75% (1639) 13% (293) 3% (63) 1% (31) 8% (173) 22002012 Vote: Barack Obama 77% (609) 14% (112) 3% (23) 1% (6) 5% (37) 7862012 Vote: Mitt Romney 80% (395) 13% (63) 2% (10) — (2) 6% (27) 4972012 Vote: Other 74% (60) 8% (6) 4% (3) 6% (5) 8% (7) 812012 Vote: Didn’t Vote 69% (573) 13% (112) 3% (27) 2% (18) 12% (100) 8314-Region: Northeast 74% (293) 14% (53) 3% (13) 1% (5) 7% (29) 3944-Region: Midwest 75% (347) 13% (62) 2% (10) 1% (2) 9% (41) 4624-Region: South 75% (620) 13% (107) 3% (22) 2% (14) 8% (62) 8244-Region: West 73% (379) 14% (72) 3% (18) 2% (10) 8% (41) 520Traveled within the U.S.: None 74% (490) 10% (69) 3% (20) 2% (11) 11% (75) 665Traveled within the U.S.: 1 to 3 times 76% (721) 14% (128) 3% (24) 1% (10) 7% (65) 948Traveled within the U.S.: 4 to 6 times 77% (263) 15% (51) 4% (13) 1% (5) 3% (11) 341Traveled within the U.S.: 7 to 10 times 68% (77) 23% (26) 4% (5) 1% (1) 4% (5) 114Traveled within the U.S.: More than 10 times 66% (88) 16% (21) 1% (1) 3% (4) 14% (18) 132Traveled outside of the U.S.: None 76% (1330) 12% (210) 2% (44) 1% (20) 8% (143) 1747Traveled outside of the U.S.: 1 to 3 times 72% (249) 18% (63) 4% (13) 2% (5) 4% (15) 346Traveled outside of the U.S.: 4 to 6 times 61% (31) 12% (6) 6% (3) 11% (5) 10% (5) 50Stayed at a hotel in the U.S.: None 74% (611) 11% (92) 3% (23) 2% (15) 11% (87) 828Stayed at a hotel in the U.S.: 1 to 3 times 78% (613) 13% (105) 3% (21) — (3) 6% (48) 791Stayed at a hotel in the U.S.: 4 to 6 times 71% (198) 19% (54) 4% (11) — (1) 6% (16) 280Stayed at a hotel in the U.S.: 7 to 10 times 75% (99) 9% (12) 4% (5) 6% (8) 5% (7) 131Stayed at a hotel in the U.S.: More than 10 times 70% (118) 18% (30) 2% (3) 2% (4) 9% (14) 169Stayed at a hotel outside of the U.S.: None 76% (1330) 12% (213) 3% (45) 1% (22) 8% (149) 1759Stayed at a hotel outside of the U.S.: 1 to 3 times 74% (194) 19% (49) 4% (9) — (0) 4% (11) 263Stayed at a hotel outside of the U.S.: 4 to 6 times 61% (58) 22% (21) 5% (5) 7% (7) 5% (4) 95Stayed at a hotel outside of the U.S.: More than 10 times 66% (33) 9% (5) 5% (3) 3% (2) 16% (8) 50


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Adults 75% (1639) 13% (293) 3% (63) 1% (31) 8% (173) 2200Traveled by airplane: None 77% (953) 11% (131) 3% (33) 1% (16) 9% (110) 1242Traveled by airplane: 1 to 3 times 74% (484) 16% (104) 2% (16) 1% (4) 7% (46) 654Traveled by airplane: 4 to 6 times 71% (126) 18% (32) 6% (10) 3% (4) 3% (5) 177Traveled by airplane: 7 to 10 times 62% (40) 25% (16) 5% (3) 5% (3) 3% (2) 64Traveled by airplane: More than 10 times 58% (36) 16% (10) 3% (2) 5% (3) 18% (11) 63Travel within the U.S.: Yes 76% (1004) 15% (195) 3% (40) 1% (16) 5% (69) 1324Travel within the U.S.: No 73% (636) 11% (98) 3% (23) 2% (15) 12% (104) 876Travel outside of the U.S.: Yes 71% (296) 17% (71) 4% (19) 2% (8) 5% (20) 414Travel outside of the U.S.: No 75% (1343) 12% (223) 3% (45) 1% (23) 9% (153) 1786Stay at a hotel in the U.S.: Yes 75% (846) 15% (166) 3% (36) 2% (17) 6% (67) 1132Stay at a hotel in the U.S.: No 74% (793) 12% (127) 3% (27) 1% (14) 10% (106) 1068Stay at a hotel outside of the U.S.: Yes 72% (304) 18% (74) 3% (11) 3% (12) 5% (22) 422Stay at a hotel outside of the U.S.: No 75% (1335) 12% (219) 3% (53) 1% (19) 9% (151) 1778Travel by airplane: Yes 72% (579) 17% (136) 4% (29) 1% (11) 6% (47) 802Travel by airplane: No 76% (1060) 11% (157) 2% (34) 1% (20) 9% (126) 1398Film: An avid fan 78% (597) 12% (95) 3% (22) — (3) 6% (45) 761Film: A casual fan 74% (858) 14% (168) 3% (37) 2% (20) 7% (81) 1164Film: Not a fan 67% (185) 11% (30) 2% (4) 3% (8) 17% (47) 275Television: An avid fan 80% (828) 11% (112) 2% (20) 1% (14) 6% (59) 1033Television: A casual fan 71% (711) 15% (154) 4% (38) 1% (13) 8% (82) 998Television: Not a fan 59% (101) 16% (27) 3% (6) 2% (4) 19% (32) 169Music: An avid fan 78% (835) 12% (128) 2% (24) 1% (10) 7% (70) 1067Music: A casual fan 72% (741) 15% (151) 3% (36) 2% (19) 8% (80) 1026Music: Not a fan 59% (64) 13% (14) 3% (4) 2% (2) 22% (23) 107Sports: An avid fan 77% (474) 11% (71) 2% (14) 1% (6) 9% (54) 619Sports: A casual fan 75% (651) 15% (129) 3% (27) 1% (13) 6% (48) 868Sports: Not a fan 72% (514) 13% (94) 3% (23) 2% (12) 10% (70) 712



29

Table CMS3_1







Adults 75% (1639) 13% (293) 3% (63) 1% (31) 8% (173) 2200Socializing in public spaces 49% (33) 26% (17) 8% (5) 3% (2) 14% (9) 67Less socializing in public spaces 69% (97) 18% (25) 3% (5) 2% (3) 8% (12) 141No public spaces, socializing in-person in home 77% (243) 13% (40) 1% (4) 3% (8) 6% (20) 315No public spaces or in-person, socializing virtually 79% (772) 13% (132) 3% (29) 1% (8) 4% (41) 982No public spaces, no socializing 76% (442) 12% (72) 3% (18) 1% (5) 8% (46) 583Film Fan 76% (1454) 14% (263) 3% (59) 1% (23) 7% (126) 1925Television Fan 76% (1539) 13% (266) 3% (58) 1% (27) 7% (141) 2031Music Fan 75% (1576) 13% (279) 3% (60) 1% (29) 7% (150) 2093Sports Fan 76% (1125) 13% (200) 3% (41) 1% (19) 7% (103) 1488Traveled outside of U.S. in past year 1+ times 68% (309) 18% (84) 4% (20) 2% (11) 7% (30) 453Frequent Flyer 67% (202) 19% (58) 5% (15) 4% (11) 6% (18) 304Concerned about coronavirus 78% (1561) 13% (255) 2% (50) 1% (20) 5% (107) 1993Concerned about spread of coronavirus in US 78% (1580) 13% (265) 3% (52) 1% (20) 5% (111) 2028Would get coronavirus vaccine 78% (1209) 13% (201) 3% (44) 1% (14) 5% (72) 1540Would not get coronavirus vaccine 63% (142) 20% (46) 4% (10) 4% (9) 8% (18) 225Stayed at a hotel in the U.S.: 4+ times 72% (415) 17% (96) 3% (19) 2% (13) 6% (37) 580Stayed at a hotel outside of the U.S.: 1+ times 70% (309) 18% (81) 4% (18) 2% (9) 5% (24) 441Vaccinated for Flu 77% (829) 13% (140) 3% (30) 2% (19) 6% (60) 1077Not vaccinated for Flu 72% (810) 14% (153) 3% (34) 1% (12) 10% (113) 1123Note: Row proportions may total to larger than one-hundred percent due to rounding. For more information visit MorningConsultIntelligence.com.


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Table CMS3_2: To what extent is the coronavirus a health risk in the following places?Asia






Adults 67% (1473) 15% (336) 3% (60) 1% (23) 14% (308) 2200Gender: Male 66% (702) 18% (190) 3% (32) 1% (13) 12% (125) 1062Gender: Female 68% (770) 13% (145) 2% (28) 1% (11) 16% (184) 1138Age: 18-29 59% (289) 18% (87) 3% (16) 2% (11) 17% (85) 488Age: 30-44 63% (333) 16% (85) 4% (21) 1% (5) 15% (81) 524Age: 45-54 72% (259) 13% (45) 3% (11) — (2) 12% (44) 360Age: 55-64 69% (269) 15% (57) 2% (9) — (2) 14% (53) 391Age: 65+ 74% (323) 14% (61) 1% (3) 1% (4) 10% (45) 436Generation Z: 18-22 58% (145) 18% (46) 4% (10) 2% (5) 18% (44) 251Millennial: Age 23-38 63% (347) 15% (81) 4% (23) 2% (9) 16% (88) 549Generation X: Age 39-54 68% (388) 16% (90) 3% (15) 1% (3) 14% (78) 573Boomers: Age 55-73 73% (531) 13% (96) 2% (12) 1% (4) 12% (86) 730PID: Dem (no lean) 75% (617) 13% (109) 2% (19) 1% (6) 9% (75) 825PID: Ind (no lean) 60% (409) 17% (116) 3% (23) 1% (7) 19% (129) 683PID: Rep (no lean) 65% (447) 16% (111) 3% (18) 2% (11) 15% (105) 692PID/Gender: DemMen 75% (289) 16% (63) 2% (7) — (1) 6% (25) 384PID/Gender: DemWomen 74% (328) 11% (46) 3% (12) 1% (4) 11% (50) 440PID/Gender: Ind Men 58% (195) 18% (60) 4% (13) 2% (6) 19% (64) 338PID/Gender: Ind Women 62% (213) 16% (55) 3% (10) — (1) 19% (65) 345PID/Gender: Rep Men 64% (218) 20% (67) 4% (12) 2% (5) 11% (36) 339PID/Gender: Rep Women 65% (229) 12% (44) 2% (6) 2% (6) 19% (68) 353Ideo: Liberal (1-3) 72% (476) 18% (117) 2% (13) — (2) 8% (51) 659Ideo: Moderate (4) 68% (366) 16% (88) 3% (18) 1% (5) 11% (58) 534Ideo: Conservative (5-7) 68% (487) 15% (110) 3% (18) 2% (12) 12% (90) 717Educ: < College 65% (984) 14% (208) 3% (39) 1% (20) 17% (261) 1512Educ: Bachelors degree 72% (320) 17% (76) 3% (12) 1% (3) 7% (32) 444Educ: Post-grad 69% (169) 21% (51) 4% (9) — (1) 6% (15) 244Income: Under 50k 65% (735) 13% (146) 3% (33) 2% (17) 18% (204) 1136Income: 50k-100k 71% (518) 16% (116) 2% (18) 1% (5) 10% (71) 727Income: 100k+ 65% (220) 22% (74) 3% (9) — (1) 10% (33) 337



31

Table CMS3_2







Adults 67% (1473) 15% (336) 3% (60) 1% (23) 14% (308) 2200Ethnicity: White 68% (1170) 15% (265) 2% (37) 1% (16) 14% (235) 1722Ethnicity: Hispanic 64% (224) 19% (66) 2% (8) 2% (7) 13% (45) 349Ethnicity: Afr. Am. 68% (187) 10% (28) 5% (12) 1% (4) 16% (44) 274Ethnicity: Other 57% (116) 21% (43) 5% (11) 2% (4) 15% (30) 204All Christian 73% (760) 13% (136) 2% (25) 1% (14) 10% (100) 1035All Non-Christian 60% (59) 18% (18) 4% (4) — (0) 18% (18) 99Atheist 62% (72) 27% (31) 4% (5) — (0) 7% (8) 116Agnostic/Nothing in particular 61% (582) 16% (151) 3% (26) 1% (9) 19% (182) 950Religious Non-Protestant/Catholic 57% (71) 16% (20) 4% (5) 3% (3) 20% (24) 124Evangelical 71% (400) 12% (66) 3% (16) 1% (8) 13% (72) 561Non-Evangelical 71% (582) 14% (113) 2% (18) 1% (8) 12% (98) 818Community: Urban 68% (356) 16% (82) 3% (16) 2% (11) 11% (60) 525Community: Suburban 69% (760) 15% (170) 2% (27) 1% (8) 12% (134) 1098Community: Rural 62% (357) 15% (84) 3% (17) 1% (4) 20% (114) 577Employ: Private Sector 69% (460) 18% (119) 2% (16) 1% (7) 10% (67) 669Employ: Government 63% (90) 14% (19) 8% (11) 1% (2) 14% (20) 142Employ: Self-Employed 67% (110) 20% (33) 4% (6) — (0) 9% (15) 164Employ: Homemaker 72% (84) 11% (13) — (0) 4% (5) 13% (15) 116Employ: Retired 70% (356) 15% (76) 2% (8) 2% (8) 12% (61) 510Employ: Unemployed 68% (196) 8% (24) 3% (10) 1% (2) 20% (59) 290Employ: Other 56% (104) 11% (21) 3% (5) — (0) 30% (56) 187Military HH: Yes 69% (234) 13% (43) 4% (15) 2% (6) 13% (43) 340Military HH: No 67% (1239) 16% (293) 2% (46) 1% (18) 14% (265) 1860RD/WT: Right Direction 63% (490) 16% (127) 3% (24) 2% (14) 16% (123) 777RD/WT: Wrong Track 69% (983) 15% (209) 3% (36) 1% (10) 13% (185) 1423Trump Job Approve 64% (597) 16% (145) 4% (35) 2% (16) 15% (140) 932Trump Job Disapprove 72% (822) 15% (175) 2% (25) 1% (7) 10% (110) 1138


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Adults 67% (1473) 15% (336) 3% (60) 1% (23) 14% (308) 2200Trump Job Strongly Approve 68% (356) 14% (73) 2% (9) 1% (5) 16% (81) 524Trump Job Somewhat Approve 59% (241) 18% (72) 6% (26) 3% (11) 14% (58) 408Trump Job Somewhat Disapprove 68% (189) 15% (43) 1% (3) 1% (2) 15% (42) 279Trump Job Strongly Disapprove 74% (632) 15% (132) 3% (22) 1% (5) 8% (68) 859Favorable of Trump 65% (576) 16% (145) 3% (27) 1% (6) 15% (131) 886Unfavorable of Trump 72% (838) 15% (178) 2% (23) 1% (9) 10% (117) 1165Very Favorable of Trump 68% (364) 15% (79) 2% (10) 1% (4) 15% (81) 538Somewhat Favorable of Trump 61% (212) 19% (66) 5% (17) 1% (2) 15% (51) 348Somewhat Unfavorable of Trump 69% (148) 14% (30) 1% (1) 1% (3) 14% (31) 214Very Unfavorable of Trump 73% (690) 16% (147) 2% (21) 1% (6) 9% (86) 950#1 Issue: Economy 67% (376) 15% (85) 4% (24) 1% (6) 12% (69) 560#1 Issue: Security 70% (200) 16% (47) 2% (6) 1% (2) 11% (32) 287#1 Issue: Health Care 70% (401) 17% (99) 2% (9) 1% (6) 10% (57) 572#1 Issue: Medicare / Social Security 69% (197) 10% (29) 1% (4) 2% (5) 18% (50) 285#1 Issue: Women’s Issues 68% (80) 11% (12) 4% (5) — (0) 17% (21) 118#1 Issue: Education 52% (68) 12% (16) 4% (6) 2% (3) 30% (39) 130#1 Issue: Energy 63% (59) 24% (22) 1% (1) — (0) 12% (11) 93#1 Issue: Other 60% (93) 17% (26) 3% (5) 1% (2) 19% (29) 1542018 House Vote: Democrat 76% (573) 14% (109) 3% (19) 1% (4) 7% (52) 7572018 House Vote: Republican 69% (425) 17% (103) 3% (16) — (1) 11% (68) 6122018 House Vote: Someone else 62% (61) 13% (13) 1% (1) — (0) 24% (23) 982016 Vote: Hillary Clinton 74% (541) 15% (108) 3% (18) 1% (5) 7% (54) 7272016 Vote: Donald Trump 70% (447) 14% (92) 2% (16) 1% (5) 12% (77) 6372016 Vote: Other 60% (81) 15% (20) 6% (8) — (0) 19% (26) 1362016 Vote: Didn’t Vote 58% (403) 17% (116) 3% (18) 2% (13) 21% (150) 700Voted in 2014: Yes 72% (896) 15% (188) 3% (33) 1% (7) 10% (127) 1251Voted in 2014: No 61% (577) 16% (148) 3% (27) 2% (16) 19% (181) 949



33

Table CMS3_2







Adults 67% (1473) 15% (336) 3% (60) 1% (23) 14% (308) 22002012 Vote: Barack Obama 75% (587) 14% (109) 2% (18) 1% (5) 9% (67) 7862012 Vote: Mitt Romney 70% (349) 16% (80) 2% (12) — (1) 11% (55) 4972012 Vote: Other 55% (45) 25% (20) 1% (1) — (0) 19% (16) 812012 Vote: Didn’t Vote 59% (489) 15% (127) 4% (29) 2% (18) 20% (168) 8314-Region: Northeast 67% (265) 14% (56) 4% (16) 1% (3) 14% (54) 3944-Region: Midwest 67% (308) 14% (63) 3% (13) 1% (4) 16% (74) 4624-Region: South 65% (536) 17% (144) 2% (20) 1% (11) 14% (113) 8244-Region: West 70% (363) 14% (73) 2% (11) 1% (6) 13% (67) 520Traveled within the U.S.: None 62% (415) 14% (91) 3% (17) 1% (8) 20% (133) 665Traveled within the U.S.: 1 to 3 times 70% (660) 16% (154) 2% (15) 1% (9) 12% (111) 948Traveled within the U.S.: 4 to 6 times 71% (242) 17% (58) 4% (15) 1% (4) 7% (23) 341Traveled within the U.S.: 7 to 10 times 69% (79) 16% (18) 8% (9) — (1) 7% (8) 114Traveled within the U.S.: More than 10 times 58% (77) 11% (14) 4% (5) 2% (3) 25% (33) 132Traveled outside of the U.S.: None 68% (1180) 14% (252) 2% (41) 1% (12) 15% (262) 1747Traveled outside of the U.S.: 1 to 3 times 69% (240) 19% (66) 3% (10) 1% (4) 7% (26) 346Traveled outside of the U.S.: 4 to 6 times 55% (27) 20% (10) 7% (3) 9% (5) 10% (5) 50Stayed at a hotel in the U.S.: None 64% (529) 15% (124) 2% (20) 1% (10) 18% (145) 828Stayed at a hotel in the U.S.: 1 to 3 times 71% (565) 15% (116) 2% (16) 1% (5) 11% (90) 791Stayed at a hotel in the U.S.: 4 to 6 times 63% (176) 23% (64) 3% (8) — (1) 11% (30) 280Stayed at a hotel in the U.S.: 7 to 10 times 67% (88) 12% (16) 5% (7) 6% (8) 9% (12) 131Stayed at a hotel in the U.S.: More than 10 times 68% (115) 9% (15) 5% (9) — (0) 18% (30) 169Stayed at a hotel outside of the U.S.: None 67% (1185) 15% (258) 2% (42) 1% (12) 15% (262) 1759Stayed at a hotel outside of the U.S.: 1 to 3 times 69% (181) 18% (49) 3% (8) — (1) 9% (25) 263Stayed at a hotel outside of the U.S.: 4 to 6 times 59% (56) 19% (18) 4% (4) 10% (10) 8% (8) 95Stayed at a hotel outside of the U.S.: More than 10 times 55% (28) 11% (6) 5% (3) 3% (2) 25% (12) 50


34








Adults 67% (1473) 15% (336) 3% (60) 1% (23) 14% (308) 2200Traveled by airplane: None 67% (831) 13% (163) 2% (29) 1% (9) 17% (209) 1242Traveled by airplane: 1 to 3 times 68% (446) 18% (118) 3% (19) 1% (7) 10% (64) 654Traveled by airplane: 4 to 6 times 69% (123) 21% (37) 4% (8) 2% (4) 4% (6) 177Traveled by airplane: 7 to 10 times 69% (44) 16% (10) 4% (3) 5% (3) 6% (4) 64Traveled by airplane: More than 10 times 45% (29) 12% (7) 4% (2) 1% (1) 39% (24) 63Travel within the U.S.: Yes 68% (899) 17% (228) 3% (40) 1% (8) 11% (148) 1324Travel within the U.S.: No 65% (573) 12% (107) 2% (20) 2% (15) 18% (160) 876Travel outside of the U.S.: Yes 63% (263) 19% (77) 5% (19) 1% (5) 12% (50) 414Travel outside of the U.S.: No 68% (1210) 14% (258) 2% (42) 1% (18) 14% (258) 1786Stay at a hotel in the U.S.: Yes 68% (771) 16% (176) 3% (36) 1% (14) 12% (136) 1132Stay at a hotel in the U.S.: No 66% (701) 15% (160) 2% (24) 1% (10) 16% (173) 1068Stay at a hotel outside of the U.S.: Yes 66% (280) 18% (76) 4% (15) 2% (9) 10% (42) 422Stay at a hotel outside of the U.S.: No 67% (1192) 15% (260) 3% (45) 1% (14) 15% (267) 1778Travel by airplane: Yes 68% (542) 18% (148) 4% (29) 1% (7) 10% (77) 802Travel by airplane: No 67% (931) 13% (187) 2% (32) 1% (16) 17% (232) 1398Film: An avid fan 76% (581) 11% (87) 3% (20) — (2) 9% (72) 761Film: A casual fan 65% (754) 19% (216) 3% (31) 1% (13) 13% (150) 1164Film: Not a fan 50% (138) 12% (33) 4% (10) 3% (8) 31% (86) 275Television: An avid fan 72% (747) 13% (130) 3% (28) 1% (7) 12% (121) 1033Television: A casual fan 64% (642) 18% (180) 2% (24) 1% (13) 14% (139) 998Television: Not a fan 49% (83) 15% (26) 5% (8) 2% (4) 29% (48) 169Music: An avid fan 70% (746) 14% (148) 3% (28) — (3) 13% (141) 1067Music: A casual fan 66% (675) 17% (171) 3% (29) 2% (19) 13% (132) 1026Music: Not a fan 48% (52) 15% (17) 3% (3) 1% (2) 32% (35) 107Sports: An avid fan 70% (435) 14% (84) 3% (18) 2% (10) 12% (73) 619Sports: A casual fan 68% (593) 17% (145) 3% (27) 1% (6) 11% (97) 868Sports: Not a fan 62% (444) 15% (107) 2% (15) 1% (8) 19% (139) 712



35

Table CMS3_2







Adults 67% (1473) 15% (336) 3% (60) 1% (23) 14% (308) 2200Socializing in public spaces 49% (33) 19% (13) 10% (7) 6% (4) 16% (10) 67Less socializing in public spaces 55% (78) 20% (28) 6% (9) 2% (2) 17% (24) 141No public spaces, socializing in-person in home 69% (218) 14% (43) 2% (5) 1% (3) 14% (45) 315No public spaces or in-person, socializing virtually 72% (705) 16% (157) 2% (22) — (4) 9% (93) 982No public spaces, no socializing 68% (396) 14% (82) 3% (15) 1% (5) 15% (85) 583Film Fan 69% (1335) 16% (302) 3% (50) 1% (15) 12% (222) 1925Television Fan 68% (1389) 15% (309) 3% (53) 1% (20) 13% (260) 2031Music Fan 68% (1421) 15% (319) 3% (57) 1% (22) 13% (274) 2093Sports Fan 69% (1028) 15% (229) 3% (45) 1% (16) 11% (169) 1488Traveled outside of U.S. in past year 1+ times 65% (292) 18% (84) 4% (19) 2% (11) 10% (46) 453Frequent Flyer 64% (195) 18% (54) 4% (13) 2% (8) 11% (34) 304Concerned about coronavirus 71% (1411) 15% (299) 2% (44) 1% (17) 11% (222) 1993Concerned about spread of coronavirus in US 70% (1427) 15% (301) 2% (48) 1% (17) 12% (235) 2028Would get coronavirus vaccine 73% (1118) 15% (235) 2% (29) 1% (14) 9% (144) 1540Would not get coronavirus vaccine 46% (104) 20% (45) 10% (22) 2% (5) 22% (49) 225Stayed at a hotel in the U.S.: 4+ times 65% (379) 16% (95) 4% (24) 2% (9) 13% (73) 580Stayed at a hotel outside of the U.S.: 1+ times 65% (287) 18% (78) 4% (18) 3% (12) 10% (46) 441Vaccinated for Flu

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NationalTrackingPoll#2003128 March31-April01,2020 ...€¦ · NationalTrackingPoll#2003128 March31-April01,2020 CrosstabulationResults Methodology: ThispollwasconductedbetweenMarch31-April1,2020amonganationalsampleof2200Adults