NationalTrackingPoll#200346 March13-16,2020 ......NationalTrackingPoll#200346,March,2020 50 TableCCS8_11: Doyouapproveordisapproveofthejobeachofthefollowingisdoingin handlingthespreadofcoronavirusintheUnitedStates

National Tracking Poll #200346March 13-16, 2020

Crosstabulation Results

Methodology:This poll was conducted between March 13-March 16, 2020 among a national sample of 1986 Reg-istered Voters. The interviews were conducted online and the data were weighted to approximate atarget sample of Registered Voters based on age, educational attainment, gender, race, and region.Results from the full survey have a margin of error of plus or minus 2 percentage points.

Table Index

1 Table CCS1: 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 than136,000 individuals and killing over 5,000 people. The World Health Organization declaredthis outbreak of the coronavirus is a global health emergency, posing a risk to countries outsideof China. President Trump declared a public health emergency in the United States shortlyafter.Based on what you know, how concerned are you about the outbreak of coronavirus? . . 11

2 Table CCS2: And speci cally, how concerned are you about coronavirus spreading in theUnited States? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

3 Table CCS3_1: To what extent is the coronavirus a health risk in the following places? China 22

4 Table CCS3_2: To what extent is the coronavirus a health risk in the following places? Asia . 28

5 Table CCS3_3: To what extent is the coronavirus a health risk in the following places? Europe 34

6 Table CCS3_4: To what extent is the coronavirus a health risk in the following places? UnitedStates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

7 Table CCS3_5: To what extent is the coronavirus a health risk in the following places? Globally 46

8 Table CCS3_6: To what extent is the coronavirus a health risk in the following places? theMiddle East . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52

9 Table CCS3_7: To what extent is the coronavirus a health risk in the following places? SouthAmerica . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58

10 TableCCS3_8: Towhat extent is the coronavirus a health risk in the following places? CentralAmerica . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64

11 Table CCS3_9: To what extent is the coronavirus a health risk in the following places? Yourstate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70

12 Table CCS4_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. . . . 76

13 Table CCS4_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. . 82

14 Table CCS4_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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88

15 Table CCS4_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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94

16 Table CCS4_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 . . . . . 100

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17 Table CCS4_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 . . . 106

18 Table CCS4_7: 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 for spring break . . . 112

19 Table CCS5: Has the coronavirus affected your travel plans over the next three months? . . . 118

20 Table CCS6_1: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Health care . . . . . . . . . . . . . . . . . . . . . . . . 125

21 Table CCS6_2: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? American goods . . . . . . . . . . . . . . . . . . . . . . 130

22 Table CCS6_3: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Chinese made goods . . . . . . . . . . . . . . . . . . . . 135

23 Table CCS6_4: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Internationally made goods . . . . . . . . . . . . . . . . 140

24 Table CCS6_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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145

25 Table CCS6_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 . . . . . . 150

26 Table CCS6_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 . . . . . . . 155

27 Table CCS6_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 . . . . . . . . 160

28 Table CCS6_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 . . . . . . . . 165

29 Table CCS6_10: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Restaurant delivery services . . . . . . . . . . . . . . . . 170

30 Table CCS6_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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175

31 Table CCS6_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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180

32 Table CCS6_13: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Grocery delivery service . . . . . . . . . . . . . . . . . . 185

33 Table CCS6_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 . . . . . . . . . . . . . . 190

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34 Table CCS6_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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195

35 Table CCS6_16: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Music streaming services . . . . . . . . . . . . . . . . . 200

36 Table CCS6_17: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Video games . . . . . . . . . . . . . . . . . . . . . . . . 205

37 Table CCS6_18: And do you expect to spend more or less on the following because of thecoronavirus, or is there no change? Canned goods . . . . . . . . . . . . . . . . . . . . . . . 210

38 Table CCS6_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 . . . . . . . . . . 215

39 Table CCS7: If a vaccine that protects from the coronavirus became available, would you getvaccinated, or not? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220

40 Table CCS8_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 . . . . . . 225

41 Table CCS8_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 . . . . . 230

42 Table CCS8_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) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235

43 Table CCS8_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 . . . . . . . . . . . . . . . 240

44 Table CCS8_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 . . . . . . . 245

45 Table CCS8_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 . . . . . . . 250

46 Table CCS8_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) . . . . . . 255

47 Table CCS8_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) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260

48 Table CCS8_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 . . . . . . . . . . 265

49 Table CCS8_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) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270

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50 Table CCS8_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 . . . . . . . . . . 275

51 Table CCS9: 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? . . . . 280

52 Table CCS10: Which of these statements comes closer to your opinion, even if none isexactlyright? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284

53 Table CCS11_1: How concerned are you that the coronavirus will impact the following? U.S.economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290

54 Table CCS11_2: How concerned are you that the coronavirus will impact the following? Chi-nese economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295

55 Table CCS11_3: How concerned are you that the coronavirus will impact the following?Global economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300

56 Table CCS11_4: How concerned are you that the coronavirus will impact the following? Mylocal economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305

57 Table CCS11_5: How concerned are you that the coronavirus will impact the following? TheEuropean economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310

58 TableCCS11_6: How concerned are you that the coronavirus will impact the following? Mid-dle Eastern economy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315

59 Table CCS11_7: How concerned are you that the coronavirus will impact the following? Thehospitality industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320

60 Table CCS11_8: How concerned are you that the coronavirus will impact the following? Myworkplace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325

61 Table CCS11_9: How concerned are you that the coronavirus will impact the following?American job market . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 330

62 Table CCS11_10: How concerned are you that the coronavirus will impact the following?American companies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335

63 Table CCS12_1: To what extent are each of the following effective for preventing the spreadof coronavirus? Face masks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340

64 Table CCS12_2: To what extent are each of the following effective for preventing the spreadof coronavirus? Hand sanitizer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345

65 Table CCS12_3: To what extent are each of the following effective for preventing the spreadof coronavirus? Disinfectants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350

66 Table CCS12_4: To what extent are each of the following effective for preventing the spreadof coronavirus? Hand soap . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355

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67 Table CCS13_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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360

68 Table CCS13_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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367

69 Table CCS13_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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374

70 Table CCS14_1: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a movie theater . . . . . . . . . . . . . . . . . . . . . . 381

71 Table CCS14_2: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to sporting events . . . . . . . . . . . . . . . . . . . . . . 386

72 Table CCS14_3: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a concert . . . . . . . . . . . . . . . . . . . . . . . . . 391

73 Table CCS14_4: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a shopping mall . . . . . . . . . . . . . . . . . . . . . . 396

74 Table CCS14_5: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to an amusement park . . . . . . . . . . . . . . . . . . . 401

75 Table CCS14_6: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Take a vacation . . . . . . . . . . . . . . . . . . . . . . . . . 406

76 Table CCS14_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 . . . . . . . . . . . . . . . . . . 411

77 Table CCS14_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 . . . . . . . . . . . . . 416

78 Table CCS14_9: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Use public transit . . . . . . . . . . . . . . . . . . . . . . . . 421

79 Table CCS14_10: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to the grocery store . . . . . . . . . . . . . . . . . . . . . 426

80 Table CCS14_11: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Use a ride-hailing service like Uber or Lyft or take a taxi . . . 431

81 Table CCS14_12: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go out to eat at a restaurant or cafe . . . . . . . . . . . . . . 436

82 Table CCS14_13: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a work conference . . . . . . . . . . . . . . . . . . . . 441

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83 Table CCS14_14: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a theater performance . . . . . . . . . . . . . . . . . . 446

84 Table CCS14_15: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a museum . . . . . . . . . . . . . . . . . . . . . . . . 451

85 Table CCS14_16: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to a political rally . . . . . . . . . . . . . . . . . . . . . . 456

86 Table CCS14_17: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Vote in a political election . . . . . . . . . . . . . . . . . . . . 461

87 Table CCS14_18: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to the gym . . . . . . . . . . . . . . . . . . . . . . . . . . 466

88 Table CCS14_19: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Invest in the stock market . . . . . . . . . . . . . . . . . . . . 471

89 Table CCS14_20: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Go to the doctor . . . . . . . . . . . . . . . . . . . . . . . . . 476

90 Table CCS14_21: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Travel in your own car . . . . . . . . . . . . . . . . . . . . . 481

91 Table CCS14_22: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Carpool with others . . . . . . . . . . . . . . . . . . . . . . . 486

92 Table CCS14_23: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Take a public bus . . . . . . . . . . . . . . . . . . . . . . . . 491

93 Table CCS14_24: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Take the subway or public train . . . . . . . . . . . . . . . . . 496

94 Table CCS14_25: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Stay home in your free time . . . . . . . . . . . . . . . . . . . 501

95 Table CCS14_26: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Travel by plane domestically . . . . . . . . . . . . . . . . . . 506

96 Table CCS14_27: Based on what you know about the coronavirus, are you currently more orless likely to do the following? Travel by plane internationally . . . . . . . . . . . . . . . . . 511

97 Table CCS15_1: If coronavirus were to spread to your community, would you be more or lesslikely to do the following? Go to a movie theater . . . . . . . . . . . . . . . . . . . . . . . . 516

98 Table CCS15_2: If coronavirus were to spread to your community, would you be more or lesslikely to do the following? Go to sporting events . . . . . . . . . . . . . . . . . . . . . . . . 521

99 Table CCS15_3: If coronavirus were to spread to your community, would you be more or lesslikely to do the following? Go to a concert . . . . . . . . . . . . . . . . . . . . . . . . . . . 526

100 Table CCS15_4: If coronavirus were to spread to your community, would you be more or lesslikely to do the following? Go to a shopping mall . . . . . . . . . . . . . . . . . . . . . . . . 531

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101 Table CCS15_5: If coronavirus were to spread to your community, would you be more or lesslikely to do the following? Go to an amusement park . . . . . . . . . . . . . . . . . . . . . 536

102 Table CCS15_6: If coronavirus were to spread to your community, would you be more or lesslikely to do the following? Take a vacation . . . . . . . . . . . . . . . . . . . . . . . . . . . 541

103 Table CCS15_7: If coronavirus were to spread to your community, would you be more or lesslikely to do the following? Go to a party or social event . . . . . . . . . . . . . . . . . . . . 546

104 Table CCS15_8: If coronavirus were to spread to your community, would you be more or lesslikely to do the following? Go to a religious gathering or meeting . . . . . . . . . . . . . . . 551

105 Table CCS15_9: If coronavirus were to spread to your community, would you be more or lesslikely to do the following? Use public transit . . . . . . . . . . . . . . . . . . . . . . . . . . 556

106 Table CCS15_10: If coronavirus were to spread to your community, would you be more orless likely to do the following? Go to the grocery store . . . . . . . . . . . . . . . . . . . . . 561

107 Table CCS15_11: If coronavirus were to spread to your community, would you be more orless likely to do the following? Use a ride-hailing service like Uber or Lyft or take a taxi . . . 566

108 Table CCS15_12: If coronavirus were to spread to your community, would you be more orless likely to do the following? Go out to eat at a restaurant or cafe . . . . . . . . . . . . . . 571

109 Table CCS15_13: If coronavirus were to spread to your community, would you be more orless likely to do the following? Go to a work conference . . . . . . . . . . . . . . . . . . . . 576

110 Table CCS15_14: If coronavirus were to spread to your community, would you be more orless likely to do the following? Go to a theater performance . . . . . . . . . . . . . . . . . . 581

111 Table CCS15_15: If coronavirus were to spread to your community, would you be more orless likely to do the following? Go to a museum . . . . . . . . . . . . . . . . . . . . . . . . 586

112 Table CCS15_16: If coronavirus were to spread to your community, would you be more orless likely to do the following? Go to a political rally . . . . . . . . . . . . . . . . . . . . . . 591

113 Table CCS15_17: If coronavirus were to spread to your community, would you be more orless likely to do the following? Vote in a political election . . . . . . . . . . . . . . . . . . . . 596

114 Table CCS15_18: If coronavirus were to spread to your community, would you be more orless likely to do the following? Go to the gym . . . . . . . . . . . . . . . . . . . . . . . . . . 601

115 Table CCS15_19: If coronavirus were to spread to your community, would you be more orless likely to do the following? Invest in the stock market . . . . . . . . . . . . . . . . . . . . 606

116 Table CCS15_20: If coronavirus were to spread to your community, would you be more orless likely to do the following? Go to the doctor . . . . . . . . . . . . . . . . . . . . . . . . . 611

117 Table CCS15_21: If coronavirus were to spread to your community, would you be more orless likely to do the following? Travel in your own car . . . . . . . . . . . . . . . . . . . . . 616

118 Table CCS15_22: If coronavirus were to spread to your community, would you be more orless likely to do the following? Carpool with others . . . . . . . . . . . . . . . . . . . . . . . 621

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119 Table CCS15_23: If coronavirus were to spread to your community, would you be more orless likely to do the following? Take a public bus . . . . . . . . . . . . . . . . . . . . . . . . 626

120 Table CCS15_24: If coronavirus were to spread to your community, would you be more orless likely to do the following? Take the subway or public train . . . . . . . . . . . . . . . . . 631

121 Table CCS15_25: If coronavirus were to spread to your community, would you be more orless likely to do the following? Stay home in your free time . . . . . . . . . . . . . . . . . . . 636

122 Table CCS15_26: If coronavirus were to spread to your community, would you be more orless likely to do the following? Travel by plane domestically . . . . . . . . . . . . . . . . . . 641

123 Table CCS15_27: If coronavirus were to spread to your community, would you be more orless likely to do the following? Travel by plane internationally . . . . . . . . . . . . . . . . . 646

124 Table CCSdem1_1: In the past year, how many times have you done the following? Traveledwithin the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 651

125 Table CCSdem1_2: In the past year, how many times have you done the following? Traveledoutside of the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 657

126 Table CCSdem1_3: In the past year, how many times have you done the following? Stayedovernight at a hotel in the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 663

127 Table CCSdem1_4: In the past year, how many times have you done the following? Stayedovernight at a hotel outside of the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 669

128 Table CCSdem1_5: In the past year, how many times have you done the following? Traveledby airplane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 675

129 Table CCSdem2_1: And do you currently have plans to do any of the following in the nextyear? Travel within the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 681

130 Table CCSdem2_2: And do you currently have plans to do any of the following in the nextyear? Travel outside of the U.S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 686

131 Table CCSdem2_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. . . . . . . . . . . . . . . . . . . . . . . . . . . . 691

132 Table CCSdem2_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. . . . . . . . . . . . . . . . . . . . . . . . 696

133 Table CCSdem2_5: And do you currently have plans to do any of the following in the nextyear? Travel by airplane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 701

134 Table CCSdem2_6: And do you currently have plans to do any of the following in the nextyear? Travel for spring break . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 706

135 Table CCSdem3_1: In general, what kind of fan do you consider yourself of the following? Film711

136 Table CCSdem3_2: In general, what kind of fan do you consider yourself of the following?Television . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 716

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Morning Consult

137 Table CCSdem3_3: In general, what kind of fan do you consider yourself of the following?Music . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 721

138 Table CCSdem3_4: In general, what kind of fan do you consider yourself of the following?Sports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 726

139 Summary Statistics of Survey Respondent Demographics . . . . . . . . . . . . . . . . . 731

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Table CCS1

Crosstabulation Results by Respondent Demographics

Table CCS1: 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 136,000 individuals and killing over 5,000 people. The World Health Organization declared this outbreak ofthe coronavirus is a global health emergency, posing a risk to countries outside of China. President Trump declared a public health emergency in theUnited States shortly 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

Registered Voters 40% (793) 40% (801) 12% (243) 6% (113) 2% (36) 1986Gender: Male 38% (350) 40% (374) 14% (131) 6% (59) 2% (15) 930Gender: Female 42% (442) 40% (427) 11% (112) 5% (54) 2% (21) 1056Age: 18-29 30% (106) 44% (158) 14% (51) 7% (24) 5% (16) 355Age: 30-44 39% (175) 38% (169) 15% (66) 6% (28) 2% (8) 445Age: 45-54 38% (109) 39% (113) 13% (39) 7% (21) 2% (5) 287Age: 55-64 47% (205) 37% (161) 9% (38) 6% (27) 1% (5) 436Age: 65+ 43% (198) 43% (200) 11% (49) 3% (13) — (1) 462Generation Z: 18-22 25% (45) 49% (87) 13% (23) 8% (14) 6% (11) 180Millennial: Age 23-38 38% (168) 39% (172) 15% (65) 6% (27) 3% (12) 443Generation X: Age 39-54 38% (177) 39% (181) 15% (67) 7% (32) 1% (6) 464Boomers: Age 55-73 45% (355) 40% (319) 10% (77) 5% (38) 1% (6) 795PID: Dem (no lean) 51% (385) 38% (291) 7% (52) 2% (16) 2% (18) 761PID: Ind (no lean) 33% (180) 42% (230) 15% (83) 8% (43) 2% (12) 547PID: Rep (no lean) 34% (228) 41% (280) 16% (108) 8% (55) 1% (6) 677PID/Gender: DemMen 49% (159) 39% (124) 7% (23) 2% (7) 3% (9) 322PID/Gender: DemWomen 51% (226) 38% (166) 7% (29) 2% (9) 2% (9) 439PID/Gender: Ind Men 32% (88) 40% (109) 17% (47) 8% (22) 2% (5) 270PID/Gender: Ind Women 33% (92) 44% (122) 13% (36) 8% (21) 3% (7) 278PID/Gender: Rep Men 31% (104) 42% (141) 18% (60) 9% (31) — (1) 338PID/Gender: Rep Women 37% (124) 41% (139) 14% (48) 7% (23) 2% (5) 340Ideo: Liberal (1-3) 51% (289) 38% (217) 7% (42) 2% (11) 1% (6) 565Ideo: Moderate (4) 45% (237) 38% (200) 10% (52) 6% (31) 2% (11) 531Ideo: Conservative (5-7) 30% (214) 44% (314) 17% (121) 8% (59) — (3) 712

Continued on next page

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Morning ConsultTable CCS1



Not veryconcerned

Not at allconcerned


Registered Voters 40% (793) 40% (801) 12% (243) 6% (113) 2% (36) 1986Educ: < College 39% (490) 38% (480) 13% (167) 7% (82) 2% (30) 1249Educ: Bachelors degree 40% (188) 44% (208) 11% (51) 5% (21) — (2) 470Educ: Post-grad 43% (115) 43% (114) 9% (25) 4% (9) 1% (4) 267Income: Under 50k 41% (423) 39% (407) 12% (129) 6% (61) 2% (21) 1041Income: 50k-100k 42% (259) 37% (231) 14% (84) 6% (34) 2% (9) 617Income: 100k+ 34% (111) 50% (163) 9% (31) 5% (18) 2% (5) 328Ethnicity: White 39% (621) 42% (668) 13% (216) 5% (86) 1% (15) 1606Ethnicity: Hispanic 43% (82) 38% (73) 11% (20) 5% (10) 4% (7) 192Ethnicity: Afr. Am. 46% (116) 33% (84) 6% (16) 8% (20) 7% (17) 252Ethnicity: Other 44% (57) 38% (49) 9% (12) 5% (7) 3% (4) 128All Christian 40% (382) 42% (394) 13% (120) 5% (46) — (4) 946All Non-Christian 52% (50) 35% (34) 6% (6) 4% (4) 2% (2) 96Atheist 39% (33) 41% (34) 11% (9) 8% (7) — (0) 83Agnostic/Nothing in particular 38% (328) 39% (339) 13% (109) 6% (56) 3% (30) 861Religious Non-Protestant/Catholic 49% (58) 40% (47) 5% (6) 5% (7) 2% (2) 119Evangelical 37% (199) 38% (205) 17% (89) 6% (32) 2% (9) 534Non-Evangelical 42% (319) 42% (318) 10% (74) 5% (38) 1% (10) 759Community: Urban 44% (216) 36% (175) 12% (57) 6% (29) 3% (13) 489Community: Suburban 39% (371) 45% (424) 11% (106) 4% (39) 1% (13) 953Community: Rural 38% (206) 37% (202) 15% (81) 8% (45) 2% (10) 544Employ: Private Sector 41% (248) 39% (239) 13% (81) 6% (36) 1% (7) 611Employ: Government 34% (49) 41% (59) 13% (19) 9% (12) 3% (4) 143Employ: Self-Employed 46% (70) 30% (46) 16% (24) 8% (12) — (0) 152Employ: Homemaker 45% (40) 36% (32) 10% (9) 8% (7) 1% (1) 89Employ: Retired 44% (233) 42% (225) 11% (56) 3% (17) 1% (4) 535Employ: Unemployed 36% (69) 41% (78) 11% (21) 5% (10) 7% (13) 192Employ: Other 35% (49) 43% (59) 13% (18) 6% (8) 2% (3) 137



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Table CCS1



Not veryconcerned

Not at allconcerned


Registered Voters 40% (793) 40% (801) 12% (243) 6% (113) 2% (36) 1986Military HH: Yes 40% (144) 39% (142) 13% (48) 6% (21) 2% (8) 362Military HH: No 40% (649) 41% (659) 12% (196) 6% (92) 2% (28) 1624RD/WT: Right Direction 32% (253) 40% (318) 17% (131) 9% (74) 1% (9) 785RD/WT: Wrong Track 45% (539) 40% (484) 9% (112) 3% (39) 2% (27) 1201Trump Job Approve 31% (265) 42% (359) 17% (146) 9% (79) 1% (8) 857Trump Job Disapprove 48% (513) 39% (421) 9% (93) 3% (29) 1% (15) 1072Trump Job Strongly Approve 33% (160) 37% (180) 18% (90) 11% (56) 1% (5) 491Trump Job Somewhat Approve 29% (105) 49% (179) 15% (55) 6% (23) 1% (3) 366Trump Job Somewhat Disapprove 32% (72) 48% (106) 12% (26) 5% (10) 3% (8) 222Trump Job Strongly Disapprove 52% (442) 37% (315) 8% (67) 2% (19) 1% (8) 851Favorable of Trump 31% (265) 41% (344) 17% (147) 9% (79) 1% (8) 844Unfavorable of Trump 47% (506) 40% (433) 8% (91) 2% (26) 1% (14) 1070Very Favorable of Trump 32% (163) 37% (189) 18% (91) 12% (62) 1% (3) 509Somewhat Favorable of Trump 31% (102) 46% (155) 17% (56) 5% (17) 2% (5) 335Somewhat Unfavorable of Trump 38% (70) 44% (83) 12% (23) 2% (4) 4% (7) 187Very Unfavorable of Trump 49% (436) 40% (350) 8% (68) 2% (22) 1% (8) 883#1 Issue: Economy 33% (151) 44% (198) 16% (71) 6% (29) 1% (5) 454#1 Issue: Security 31% (103) 42% (137) 17% (56) 8% (27) 1% (5) 327#1 Issue: Health Care 51% (259) 37% (188) 8% (40) 3% (16) 2% (8) 511#1 Issue: Medicare / Social Security 46% (147) 38% (120) 10% (33) 4% (14) 1% (5) 319#1 Issue: Women’s Issues 31% (28) 47% (42) 12% (11) 8% (7) 1% (1) 90#1 Issue: Education 33% (33) 37% (37) 15% (15) 8% (8) 7% (7) 100#1 Issue: Energy 42% (33) 40% (31) 9% (7) 6% (5) 2% (2) 78#1 Issue: Other 36% (39) 45% (48) 9% (10) 7% (8) 3% (3) 1072018 House Vote: Democrat 53% (397) 38% (289) 6% (48) 2% (15) 1% (6) 7552018 House Vote: Republican 33% (229) 41% (283) 16% (114) 9% (63) 1% (5) 6932018 House Vote: Someone else 28% (22) 40% (32) 22% (17) 6% (5) 4% (3) 79


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Not veryconcerned

Not at allconcerned


Registered Voters 40% (793) 40% (801) 12% (243) 6% (113) 2% (36) 19862016 Vote: Hillary Clinton 54% (357) 37% (245) 7% (45) 2% (12) 1% (7) 6652016 Vote: Donald Trump 33% (226) 41% (282) 16% (113) 9% (63) 1% (6) 6892016 Vote: Other 36% (63) 45% (79) 14% (24) 3% (4) 2% (3) 1742016 Vote: Didn’t Vote 32% (144) 43% (196) 13% (61) 7% (33) 4% (20) 455Voted in 2014: Yes 43% (572) 39% (515) 11% (151) 5% (65) 1% (16) 1318Voted in 2014: No 33% (220) 43% (287) 14% (92) 7% (48) 3% (20) 6682012 Vote: Barack Obama 51% (400) 37% (294) 7% (57) 3% (23) 2% (13) 7882012 Vote: Mitt Romney 31% (175) 44% (246) 17% (94) 8% (46) — (3) 5632012 Vote: Other 42% (32) 36% (28) 11% (8) 9% (7) 2% (1) 772012 Vote: Didn’t Vote 33% (182) 42% (232) 15% (84) 7% (37) 3% (19) 5544-Region: Northeast 46% (163) 39% (137) 9% (33) 3% (12) 2% (9) 3544-Region: Midwest 38% (174) 43% (197) 12% (56) 5% (21) 2% (8) 4564-Region: South 39% (286) 38% (285) 14% (102) 7% (54) 2% (14) 7414-Region: West 39% (170) 42% (182) 12% (52) 6% (25) 1% (5) 434Traveled within U.S. in past year: None 43% (260) 34% (204) 12% (75) 7% (40) 4% (22) 602Traveled within U.S. in past year: 1 to 3 times 36% (320) 45% (399) 11% (101) 6% (50) 1% (12) 882Traveled within U.S. in past year: 4 to 6 times 41% (127) 42% (129) 12% (37) 5% (16) — (0) 310Traveled within U.S. in past year: 7 to 10 times 46% (45) 34% (33) 16% (15) 2% (2) 2% (2) 97Traveled within U.S. in past year: More than 10 times 42% (40) 37% (36) 15% (15) 6% (5) — (0) 95Traveled outside U.S. in past year: None 38% (632) 41% (680) 13% (206) 6% (96) 2% (33) 1646Traveled outside U.S. in past year: 1 to 3 times 46% (133) 37% (105) 11% (31) 5% (14) 1% (3) 287Stayed at hotel in U.S. in past year: None 39% (275) 38% (271) 14% (97) 6% (40) 3% (24) 708Stayed at hotel in U.S. in past year: 1 to 3 times 40% (323) 43% (350) 10% (80) 5% (42) 1% (10) 805Stayed at hotel in U.S. in past year: 4 to 6 times 37% (91) 40% (99) 14% (36) 8% (21) 1% (2) 249Stayed at hotel in U.S. in past year: 7 to 10 times 46% (49) 34% (37) 17% (18) 2% (2) — (0) 107Stayed at hotel in U.S. in past year: More than 10 times 46% (53) 38% (44) 11% (12) 6% (7) — (0) 117



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Table CCS1



Not veryconcerned

Not at allconcerned


Registered Voters 40% (793) 40% (801) 12% (243) 6% (113) 2% (36) 1986Stayed at hotel outside of U.S. in past year: None 39% (629) 41% (676) 13% (210) 5% (88) 2% (27) 1629Stayed at hotel outside of U.S. in past year: 1 to 3 times 46% (103) 35% (79) 11% (24) 7% (15) 1% (3) 224Stayed at hotel outside of U.S. in past year: 4 to 6 times 47% (29) 40% (25) 5% (3) 9% (6) — (0) 62Traveled by airplane in past year: None 39% (461) 39% (469) 14% (166) 6% (74) 2% (24) 1195Traveled by airplane in past year: 1 to 3 times 41% (239) 43% (251) 9% (53) 5% (27) 1% (7) 577Traveled by airplane in past year: 4 to 6 times 44% (60) 39% (53) 10% (13) 6% (9) — (1) 135Travel within U.S. in next year: Yes 37% (457) 43% (533) 13% (161) 6% (75) 1% (12) 1238Travel within U.S. in next year: No 45% (336) 36% (268) 11% (82) 5% (38) 3% (24) 748Travel outside U.S. in next year: Yes 42% (137) 40% (129) 10% (34) 6% (20) 2% (5) 324Travel outside U.S. in next year: No 39% (656) 40% (673) 13% (209) 6% (93) 2% (31) 1662Stay at hotel in U.S. in next year: Yes 37% (404) 43% (460) 13% (136) 6% (69) 1% (12) 1081Stay at hotel in U.S. in next year: No 43% (389) 38% (342) 12% (107) 5% (44) 3% (24) 905Stay at hotel outside of U.S. in next year: Yes 42% (147) 39% (138) 11% (37) 6% (22) 2% (7) 351Stay at hotel outside of U.S. in next year: No 39% (646) 41% (664) 13% (206) 6% (91) 2% (29) 1635Travel by airplane in next year: Yes 36% (254) 45% (315) 11% (74) 7% (49) 1% (6) 699Travel by airplane in next year: No 42% (539) 38% (486) 13% (169) 5% (64) 2% (29) 1287Travel for spring break in next year: Yes 35% (83) 41% (98) 14% (33) 8% (20) 2% (5) 238Travel for spring break in next year: No 41% (710) 40% (703) 12% (210) 5% (93) 2% (31) 1748Film: An avid fan 46% (301) 38% (252) 10% (64) 5% (31) 1% (8) 656Film: A casual fan 38% (407) 42% (456) 13% (139) 5% (59) 1% (14) 1074Film: Not a fan 33% (85) 37% (94) 16% (40) 9% (23) 6% (14) 255Television: An avid fan 47% (464) 37% (369) 10% (104) 4% (41) 1% (11) 989Television: A casual fan 33% (290) 44% (387) 14% (121) 7% (58) 2% (16) 872Television: Not a fan 31% (39) 35% (44) 15% (18) 12% (15) 7% (9) 125Music: An avid fan 44% (413) 38% (355) 12% (111) 5% (47) 1% (11) 937Music: A casual fan 36% (329) 44% (409) 12% (116) 6% (59) 1% (13) 927Music: Not a fan 42% (51) 30% (37) 13% (16) 6% (7) 9% (11) 122


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Not veryconcerned

Not at allconcerned


Registered Voters 40% (793) 40% (801) 12% (243) 6% (113) 2% (36) 1986Sports: An avid fan 41% (236) 40% (231) 12% (70) 5% (28) 1% (6) 570Sports: A casual fan 40% (300) 43% (329) 11% (86) 4% (29) 2% (14) 758Sports: Not a fan 39% (256) 37% (242) 13% (88) 8% (56) 2% (16) 658Film Fan 41% (708) 41% (708) 12% (203) 5% (90) 1% (22) 1731Television Fan 41% (754) 41% (757) 12% (225) 5% (98) 1% (27) 1861Music Fan 40% (742) 41% (764) 12% (227) 6% (106) 1% (25) 1864Sports Fan 40% (537) 42% (559) 12% (155) 4% (57) 1% (20) 1328Traveled outside of U.S. in past year 1+ times 47% (161) 36% (121) 11% (37) 5% (17) 1% (3) 340Frequent Flyer 43% (93) 38% (81) 11% (24) 5% (11) 2% (5) 214Concerned about coronavirus 50% (793) 50% (801) — (0) — (0) — (0) 1594Concerned about spread of coronavirus in US 48% (792) 47% (769) 4% (65) — (6) — (3) 1634Would get coronavirus vaccine 49% (673) 40% (546) 9% (120) 2% (33) 1% (9) 1380Would not get coronavirus vaccine 18% (38) 30% (65) 29% (62) 22% (48) — (1) 213Vaccinated for Flu 45% (471) 40% (416) 10% (109) 3% (35) 2% (19) 1050Not vaccinated for Flu 34% (322) 41% (385) 14% (134) 8% (77) 2% (17) 936Note: Row proportions may total to larger than one-hundred percent due to rounding. For more information visit MorningConsultIntelligence.com.

https://morningconsultintelligence.com


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Table CCS2

Table CCS2: And speci cally, how concerned are you about coronavirus spreading in the United States?


Not veryconcerned

Not at allconcerned


Registered Voters 46% (917) 36% (717) 11% (227) 5% (91) 2% (33) 1986Gender: Male 44% (405) 37% (342) 12% (116) 6% (52) 2% (15) 930Gender: Female 49% (512) 35% (375) 11% (111) 4% (40) 2% (19) 1056Age: 18-29 38% (135) 37% (133) 16% (55) 5% (17) 4% (15) 355Age: 30-44 44% (195) 36% (158) 13% (56) 6% (27) 2% (9) 445Age: 45-54 43% (124) 36% (104) 12% (34) 7% (20) 2% (5) 287Age: 55-64 54% (234) 33% (142) 9% (40) 4% (17) 1% (3) 436Age: 65+ 50% (230) 39% (179) 9% (41) 2% (11) — (1) 462Generation Z: 18-22 35% (64) 40% (72) 15% (27) 4% (8) 5% (10) 180Millennial: Age 23-38 43% (192) 34% (152) 13% (59) 6% (26) 3% (14) 443Generation X: Age 39-54 43% (199) 37% (171) 13% (59) 6% (29) 1% (6) 464Boomers: Age 55-73 51% (409) 36% (284) 9% (71) 4% (28) — (3) 795PID: Dem (no lean) 59% (450) 30% (232) 7% (50) 2% (12) 2% (17) 761PID: Ind (no lean) 37% (204) 40% (219) 14% (78) 7% (36) 2% (10) 547PID: Rep (no lean) 39% (263) 39% (266) 15% (98) 6% (44) 1% (6) 677PID/Gender: DemMen 58% (188) 31% (101) 5% (17) 2% (8) 3% (8) 322PID/Gender: DemWomen 60% (262) 30% (131) 7% (33) 1% (4) 2% (9) 439PID/Gender: Ind Men 34% (91) 42% (112) 16% (42) 7% (19) 2% (6) 270PID/Gender: Ind Women 41% (113) 39% (107) 13% (36) 6% (17) 2% (4) 278PID/Gender: Rep Men 37% (126) 38% (130) 17% (56) 8% (25) — (1) 338PID/Gender: Rep Women 40% (137) 40% (137) 12% (42) 5% (19) 2% (5) 340Ideo: Liberal (1-3) 59% (333) 32% (182) 6% (34) 2% (11) 1% (5) 565Ideo: Moderate (4) 50% (267) 32% (169) 12% (61) 5% (24) 2% (10) 531Ideo: Conservative (5-7) 35% (251) 43% (304) 15% (109) 6% (44) — (3) 712Educ: < College 46% (577) 33% (417) 13% (159) 5% (67) 2% (29) 1249Educ: Bachelors degree 45% (212) 41% (191) 10% (48) 4% (17) — (2) 470Educ: Post-grad 48% (128) 41% (109) 7% (20) 3% (7) 1% (3) 267Income: Under 50k 48% (503) 32% (336) 12% (126) 5% (55) 2% (21) 1041Income: 50k-100k 46% (285) 37% (228) 12% (73) 4% (23) 1% (7) 617Income: 100k+ 39% (129) 47% (153) 9% (28) 4% (13) 2% (5) 328Ethnicity: White 44% (709) 38% (615) 12% (199) 4% (68) 1% (15) 1606Ethnicity: Hispanic 50% (96) 29% (57) 12% (24) 5% (10) 3% (6) 192


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Not veryconcerned

Not at allconcerned


Registered Voters 46% (917) 36% (717) 11% (227) 5% (91) 2% (33) 1986Ethnicity: Afr. Am. 55% (139) 24% (61) 7% (19) 7% (18) 6% (15) 252Ethnicity: Other 54% (69) 32% (41) 7% (9) 4% (6) 2% (3) 128All Christian 46% (434) 39% (366) 12% (110) 3% (32) — (3) 946All Non-Christian 65% (62) 26% (25) 3% (3) 4% (4) 2% (2) 96Atheist 47% (39) 36% (30) 10% (8) 7% (6) — (0) 83Agnostic/Nothing in particular 44% (382) 34% (296) 12% (106) 6% (49) 3% (28) 861Religious Non-Protestant/Catholic 61% (72) 30% (36) 4% (4) 4% (5) 2% (2) 119Evangelical 42% (222) 38% (204) 14% (72) 5% (27) 1% (8) 534Non-Evangelical 49% (374) 35% (268) 11% (82) 4% (27) 1% (9) 759Community: Urban 50% (244) 31% (152) 11% (56) 5% (25) 3% (12) 489Community: Suburban 46% (436) 40% (378) 10% (97) 3% (31) 1% (11) 953Community: Rural 44% (238) 34% (187) 14% (74) 6% (35) 2% (10) 544Employ: Private Sector 46% (279) 36% (221) 12% (76) 5% (29) 1% (6) 611Employ: Government 41% (58) 35% (50) 18% (25) 5% (7) 2% (3) 143Employ: Self-Employed 51% (77) 29% (45) 12% (18) 8% (12) — (0) 152Employ: Homemaker 53% (47) 32% (28) 10% (9) 5% (4) 1% (1) 89Employ: Retired 50% (269) 38% (203) 9% (48) 2% (12) 1% (3) 535Employ: Unemployed 46% (88) 32% (61) 9% (18) 6% (12) 7% (13) 192Employ: Other 39% (54) 43% (59) 9% (12) 6% (8) 2% (3) 137Military HH: Yes 44% (160) 37% (132) 13% (46) 5% (16) 2% (6) 362Military HH: No 47% (757) 36% (585) 11% (180) 5% (75) 2% (27) 1624RD/WT: Right Direction 35% (277) 41% (321) 15% (121) 7% (56) 1% (10) 785RD/WT: Wrong Track 53% (640) 33% (396) 9% (106) 3% (36) 2% (23) 1201Trump Job Approve 36% (307) 40% (341) 16% (140) 7% (62) 1% (8) 857Trump Job Disapprove 55% (591) 33% (357) 8% (84) 2% (26) 1% (15) 1072Trump Job Strongly Approve 36% (175) 36% (178) 18% (88) 9% (46) 1% (5) 491Trump Job Somewhat Approve 36% (132) 44% (163) 14% (53) 4% (16) 1% (3) 366Trump Job Somewhat Disapprove 44% (97) 38% (85) 10% (22) 4% (9) 3% (8) 222Trump Job Strongly Disapprove 58% (494) 32% (272) 7% (62) 2% (16) 1% (7) 851Favorable of Trump 36% (301) 40% (334) 16% (138) 7% (63) 1% (8) 844Unfavorable of Trump 55% (590) 34% (361) 8% (85) 2% (22) 1% (12) 1070



19

Table CCS2



Not veryconcerned

Not at allconcerned


Registered Voters 46% (917) 36% (717) 11% (227) 5% (91) 2% (33) 1986Very Favorable of Trump 35% (177) 38% (191) 17% (87) 10% (50) 1% (3) 509Somewhat Favorable of Trump 37% (123) 43% (143) 15% (51) 4% (13) 2% (5) 335Somewhat Unfavorable of Trump 48% (90) 37% (68) 11% (21) 1% (2) 3% (5) 187Very Unfavorable of Trump 57% (500) 33% (293) 7% (64) 2% (20) 1% (7) 883#1 Issue: Economy 41% (185) 38% (171) 15% (70) 5% (25) 1% (3) 454#1 Issue: Security 35% (116) 41% (135) 16% (52) 6% (20) 1% (5) 327#1 Issue: Health Care 57% (293) 32% (163) 6% (31) 3% (16) 2% (8) 511#1 Issue: Medicare / Social Security 54% (173) 33% (104) 9% (28) 3% (9) 1% (4) 319#1 Issue: Women’s Issues 38% (34) 41% (36) 13% (11) 8% (7) 1% (1) 90#1 Issue: Education 36% (36) 35% (35) 15% (15) 7% (7) 7% (7) 100#1 Issue: Energy 43% (33) 41% (32) 12% (10) 2% (2) 2% (2) 78#1 Issue: Other 44% (47) 39% (42) 9% (10) 5% (5) 3% (4) 1072018 House Vote: Democrat 60% (453) 32% (241) 5% (41) 2% (16) 1% (5) 7552018 House Vote: Republican 37% (254) 40% (278) 15% (106) 7% (51) 1% (5) 6932018 House Vote: Someone else 27% (22) 41% (33) 22% (17) 6% (5) 4% (3) 792016 Vote: Hillary Clinton 62% (411) 30% (197) 6% (37) 2% (14) 1% (6) 6652016 Vote: Donald Trump 37% (252) 39% (271) 16% (112) 7% (49) 1% (6) 6892016 Vote: Other 40% (69) 45% (79) 10% (18) 3% (5) 2% (3) 1742016 Vote: Didn’t Vote 40% (183) 37% (170) 13% (59) 5% (24) 4% (19) 455Voted in 2014: Yes 48% (638) 36% (480) 10% (129) 4% (57) 1% (14) 1318Voted in 2014: No 42% (280) 36% (237) 15% (98) 5% (34) 3% (19) 6682012 Vote: Barack Obama 59% (463) 31% (247) 6% (44) 3% (23) 1% (11) 7882012 Vote: Mitt Romney 35% (195) 43% (242) 16% (88) 6% (36) — (2) 5632012 Vote: Other 37% (28) 41% (31) 13% (10) 7% (6) 2% (1) 772012 Vote: Didn’t Vote 41% (227) 35% (195) 15% (85) 5% (27) 3% (19) 5544-Region: Northeast 50% (177) 35% (126) 10% (34) 2% (8) 3% (9) 3544-Region: Midwest 44% (201) 39% (177) 11% (50) 4% (20) 2% (8) 4564-Region: South 45% (335) 35% (261) 12% (89) 6% (45) 2% (11) 7414-Region: West 47% (205) 35% (153) 12% (53) 4% (18) 1% (5) 434


20




Not veryconcerned

Not at allconcerned


Registered Voters 46% (917) 36% (717) 11% (227) 5% (91) 2% (33) 1986Traveled within U.S. in past year: None 47% (286) 31% (187) 13% (76) 5% (30) 4% (22) 602Traveled within U.S. in past year: 1 to 3 times 45% (393) 39% (345) 11% (96) 5% (40) 1% (9) 882Traveled within U.S. in past year: 4 to 6 times 45% (140) 40% (124) 10% (31) 5% (14) — (0) 310Traveled within U.S. in past year: 7 to 10 times 54% (52) 31% (30) 12% (11) 1% (1) 2% (2) 97Traveled within U.S. in past year: More than 10 times 49% (47) 33% (31) 12% (12) 6% (6) — (0) 95Traveled outside U.S. in past year: None 45% (741) 37% (606) 12% (191) 5% (78) 2% (31) 1646Traveled outside U.S. in past year: 1 to 3 times 50% (144) 34% (99) 11% (31) 4% (10) 1% (3) 287Stayed at hotel in U.S. in past year: None 45% (316) 35% (246) 13% (89) 5% (32) 3% (25) 708Stayed at hotel in U.S. in past year: 1 to 3 times 47% (378) 38% (307) 10% (77) 4% (35) 1% (8) 805Stayed at hotel in U.S. in past year: 4 to 6 times 42% (104) 38% (95) 13% (32) 7% (18) — (1) 249Stayed at hotel in U.S. in past year: 7 to 10 times 57% (61) 25% (27) 16% (18) 1% (2) — (0) 107Stayed at hotel in U.S. in past year: More than 10 times 50% (58) 36% (42) 10% (12) 5% (5) — (0) 117Stayed at hotel outside of U.S. in past year: None 45% (733) 37% (606) 12% (194) 4% (72) 1% (24) 1629Stayed at hotel outside of U.S. in past year: 1 to 3 times 50% (111) 34% (77) 10% (22) 5% (12) 1% (3) 224Stayed at hotel outside of U.S. in past year: 4 to 6 times 56% (35) 30% (18) 8% (5) 7% (4) — (0) 62Traveled by airplane in past year: None 45% (534) 35% (419) 13% (159) 5% (60) 2% (24) 1195Traveled by airplane in past year: 1 to 3 times 48% (280) 38% (222) 8% (47) 4% (24) 1% (5) 577Traveled by airplane in past year: 4 to 6 times 48% (65) 39% (53) 9% (12) 4% (5) — (1) 135Travel within U.S. in next year: Yes 44% (541) 38% (475) 12% (153) 5% (59) 1% (11) 1238Travel within U.S. in next year: No 50% (377) 32% (242) 10% (74) 4% (32) 3% (22) 748Travel outside U.S. in next year: Yes 47% (152) 36% (117) 11% (36) 4% (14) 2% (5) 324Travel outside U.S. in next year: No 46% (765) 36% (600) 11% (191) 5% (77) 2% (28) 1662Stay at hotel in U.S. in next year: Yes 44% (476) 38% (408) 12% (131) 5% (55) 1% (11) 1081Stay at hotel in U.S. in next year: No 49% (441) 34% (309) 11% (96) 4% (36) 2% (22) 905Stay at hotel outside of U.S. in next year: Yes 48% (170) 34% (119) 11% (38) 5% (17) 2% (7) 351Stay at hotel outside of U.S. in next year: No 46% (748) 37% (598) 12% (188) 5% (74) 2% (27) 1635Travel by airplane in next year: Yes 43% (302) 39% (276) 11% (78) 5% (38) 1% (6) 699Travel by airplane in next year: No 48% (615) 34% (441) 12% (149) 4% (54) 2% (28) 1287Travel for spring break in next year: Yes 42% (99) 36% (86) 13% (32) 7% (16) 2% (5) 238Travel for spring break in next year: No 47% (818) 36% (631) 11% (195) 4% (75) 2% (28) 1748



21

Table CCS2



Not veryconcerned

Not at allconcerned


Registered Voters 46% (917) 36% (717) 11% (227) 5% (91) 2% (33) 1986Film: An avid fan 54% (352) 31% (203) 10% (62) 5% (30) 1% (9) 656Film: A casual fan 43% (457) 41% (436) 12% (126) 4% (44) 1% (12) 1074Film: Not a fan 43% (109) 31% (78) 15% (39) 7% (17) 5% (13) 255Television: An avid fan 54% (535) 33% (325) 8% (84) 3% (34) 1% (11) 989Television: A casual fan 38% (335) 41% (353) 14% (122) 5% (47) 2% (15) 872Television: Not a fan 38% (47) 31% (38) 17% (21) 9% (11) 6% (7) 125Music: An avid fan 50% (472) 33% (309) 11% (103) 4% (41) 1% (12) 937Music: A casual fan 42% (389) 40% (373) 11% (106) 5% (46) 1% (12) 927Music: Not a fan 46% (57) 28% (35) 14% (17) 4% (4) 8% (9) 122Sports: An avid fan 48% (275) 35% (201) 11% (62) 5% (26) 1% (6) 570Sports: A casual fan 47% (353) 38% (291) 10% (77) 3% (24) 2% (13) 758Sports: Not a fan 44% (290) 34% (224) 13% (88) 6% (41) 2% (15) 658Film Fan 47% (809) 37% (639) 11% (188) 4% (74) 1% (20) 1731Television Fan 47% (870) 36% (679) 11% (206) 4% (80) 1% (26) 1861Music Fan 46% (861) 37% (682) 11% (210) 5% (87) 1% (24) 1864Sports Fan 47% (627) 37% (493) 10% (139) 4% (51) 1% (18) 1328Traveled outside of U.S. in past year 1+ times 52% (176) 33% (111) 11% (36) 4% (13) 1% (3) 340Frequent Flyer 49% (104) 36% (76) 10% (21) 4% (8) 2% (5) 214Concerned about coronavirus 57% (910) 41% (650) 2% (30) — (3) — (1) 1594Concerned about spread of coronavirus in US 56% (917) 44% (717) — (0) — (0) — (0) 1634Would get coronavirus vaccine 55% (764) 35% (476) 8% (104) 2% (29) 1% (7) 1380Would not get coronavirus vaccine 20% (43) 33% (69) 28% (60) 18% (38) 1% (1) 213Vaccinated for Flu 51% (532) 36% (380) 9% (90) 3% (30) 2% (18) 1050Not vaccinated for Flu 41% (385) 36% (337) 15% (137) 7% (62) 2% (15) 936Note: Row proportions may total to larger than one-hundred percent due to rounding. For more information visit MorningConsultIntelligence.com.


22

Morning ConsultTable CCS3_1

Table CCS3_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

Registered Voters 75% (1493) 14% (280) 3% (54) 1% (13) 7% (147) 1986Gender: Male 74% (689) 16% (151) 3% (28) 1% (7) 6% (54) 930Gender: Female 76% (804) 12% (128) 2% (26) — (5) 9% (93) 1056Age: 18-29 67% (240) 17% (60) 4% (16) 1% (4) 10% (36) 355Age: 30-44 70% (311) 16% (71) 3% (15) 1% (4) 10% (45) 445Age: 45-54 72% (206) 18% (50) 4% (11) 1% (3) 6% (16) 287Age: 55-64 81% (351) 11% (47) 2% (7) — (1) 7% (30) 436Age: 65+ 83% (386) 11% (51) 1% (4) — (1) 4% (20) 462Generation Z: 18-22 65% (117) 17% (30) 5% (9) — (1) 13% (23) 180Millennial: Age 23-38 69% (305) 17% (75) 3% (15) 1% (6) 10% (43) 443Generation X: Age 39-54 72% (335) 16% (76) 4% (18) 1% (4) 7% (31) 464Boomers: Age 55-73 81% (647) 11% (90) 1% (10) — (2) 6% (46) 795PID: Dem (no lean) 76% (581) 13% (100) 3% (20) — (2) 7% (57) 761PID: Ind (no lean) 73% (398) 16% (86) 4% (19) 1% (5) 7% (38) 547PID: Rep (no lean) 76% (513) 14% (93) 2% (14) 1% (5) 8% (52) 677PID/Gender: DemMen 75% (242) 15% (47) 3% (10) 1% (2) 6% (21) 322PID/Gender: DemWomen 77% (340) 12% (53) 2% (10) — (0) 8% (36) 439PID/Gender: Ind Men 72% (194) 17% (46) 4% (10) 1% (3) 7% (18) 270PID/Gender: Ind Women 74% (204) 15% (41) 4% (10) 1% (3) 7% (20) 278PID/Gender: Rep Men 75% (254) 17% (58) 2% (8) 1% (2) 4% (15) 338PID/Gender: Rep Women 76% (260) 10% (34) 2% (6) 1% (3) 11% (37) 340Ideo: Liberal (1-3) 76% (429) 15% (87) 3% (16) 1% (3) 5% (29) 565Ideo: Moderate (4) 77% (411) 11% (61) 3% (15) — (2) 8% (42) 531Ideo: Conservative (5-7) 77% (547) 15% (106) 2% (15) 1% (5) 5% (39) 712Educ: < College 74% (924) 13% (161) 3% (38) 1% (10) 9% (116) 1249Educ: Bachelors degree 78% (365) 15% (72) 2% (9) — (2) 4% (20) 470Educ: Post-grad 76% (203) 17% (46) 2% (7) — (0) 4% (11) 267Income: Under 50k 75% (783) 14% (142) 2% (18) 1% (7) 9% (92) 1041Income: 50k-100k 75% (463) 14% (88) 4% (25) 1% (3) 6% (38) 617Income: 100k+ 76% (248) 15% (49) 4% (12) 1% (3) 5% (17) 328



23

Table CCS3_1







Registered Voters 75% (1493) 14% (280) 3% (54) 1% (13) 7% (147) 1986Ethnicity: White 76% (1227) 14% (232) 3% (41) 1% (8) 6% (99) 1606Ethnicity: Hispanic 76% (145) 13% (25) 2% (5) — (0) 9% (17) 192Ethnicity: Afr. Am. 68% (171) 12% (29) 3% (8) 1% (3) 16% (41) 252Ethnicity: Other 75% (96) 15% (19) 4% (5) 1% (1) 5% (7) 128All Christian 80% (757) 13% (122) 2% (17) 1% (7) 5% (43) 946All Non-Christian 73% (69) 14% (14) 2% (2) — (0) 11% (11) 96Atheist 68% (56) 26% (22) 6% (5) — (0) 1% (0) 83Agnostic/Nothing in particular 71% (611) 14% (122) 4% (30) 1% (6) 11% (93) 861Religious Non-Protestant/Catholic 76% (90) 13% (15) 2% (3) — (0) 9% (11) 119Evangelical 76% (407) 11% (61) 2% (11) 2% (8) 9% (47) 534Non-Evangelical 80% (606) 12% (89) 2% (18) — (2) 6% (45) 759Community: Urban 77% (375) 12% (59) 2% (9) 1% (4) 9% (42) 489Community: Suburban 74% (702) 17% (164) 3% (32) 1% (6) 5% (49) 953Community: Rural 76% (415) 10% (57) 2% (13) 1% (3) 10% (55) 544Employ: Private Sector 74% (452) 17% (105) 3% (21) 1% (5) 5% (29) 611Employ: Government 72% (103) 16% (22) 3% (5) — (0) 9% (13) 143Employ: Self-Employed 80% (122) 9% (13) 4% (7) 1% (2) 6% (9) 152Employ: Homemaker 66% (58) 14% (13) 5% (5) 3% (3) 12% (10) 89Employ: Retired 83% (441) 12% (62) 1% (6) — (1) 5% (25) 535Employ: Unemployed 70% (134) 14% (28) 3% (5) 1% (1) 12% (24) 192Employ: Other 69% (95) 11% (15) — (0) 1% (2) 19% (26) 137Military HH: Yes 80% (291) 12% (42) 2% (8) — (0) 6% (21) 362Military HH: No 74% (1202) 15% (238) 3% (46) 1% (13) 8% (126) 1624RD/WT: Right Direction 75% (592) 12% (95) 3% (21) 1% (6) 9% (71) 785RD/WT: Wrong Track 75% (901) 15% (184) 3% (33) 1% (6) 6% (76) 1201Trump Job Approve 75% (646) 13% (115) 3% (27) 1% (5) 8% (65) 857Trump Job Disapprove 76% (820) 14% (155) 2% (24) 1% (6) 6% (66) 1072


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Registered Voters 75% (1493) 14% (280) 3% (54) 1% (13) 7% (147) 1986Trump Job Strongly Approve 78% (386) 9% (47) 2% (11) 1% (5) 9% (44) 491Trump Job Somewhat Approve 71% (260) 19% (68) 4% (16) — (0) 6% (21) 366Trump Job Somewhat Disapprove 72% (159) 15% (34) 2% (4) 2% (3) 10% (21) 222Trump Job Strongly Disapprove 78% (661) 14% (121) 2% (21) — (3) 5% (45) 851Favorable of Trump 76% (642) 13% (108) 3% (28) 1% (5) 7% (62) 844Unfavorable of Trump 77% (820) 15% (163) 2% (23) 1% (6) 5% (57) 1070Very Favorable of Trump 78% (395) 10% (50) 2% (12) 1% (5) 9% (47) 509Somewhat Favorable of Trump 74% (247) 17% (58) 5% (15) — (0) 5% (15) 335Somewhat Unfavorable of Trump 74% (139) 16% (30) 2% (4) 1% (2) 7% (12) 187Very Unfavorable of Trump 77% (682) 15% (133) 2% (19) — (4) 5% (45) 883#1 Issue: Economy 75% (342) 15% (69) 3% (16) 1% (3) 5% (25) 454#1 Issue: Security 77% (251) 13% (41) 3% (8) 1% (3) 7% (24) 327#1 Issue: Health Care 77% (394) 14% (70) 2% (12) — (2) 6% (32) 511#1 Issue: Medicare / Social Security 76% (241) 14% (44) 1% (3) 1% (2) 9% (29) 319#1 Issue: Women’s Issues 66% (59) 17% (15) 5% (4) 1% (1) 12% (11) 90#1 Issue: Education 71% (70) 11% (11) 5% (5) 1% (1) 12% (12) 100#1 Issue: Energy 73% (57) 17% (14) 4% (3) 1% (1) 5% (4) 78#1 Issue: Other 74% (80) 14% (16) 2% (2) — (0) 9% (10) 1072018 House Vote: Democrat 79% (599) 13% (100) 2% (15) 1% (6) 5% (35) 7552018 House Vote: Republican 77% (532) 14% (97) 2% (14) 1% (5) 6% (45) 6932018 House Vote: Someone else 67% (53) 17% (14) 8% (6) 2% (1) 7% (5) 792016 Vote: Hillary Clinton 79% (524) 14% (94) 2% (13) — (1) 5% (33) 6652016 Vote: Donald Trump 77% (532) 13% (90) 2% (17) 1% (6) 7% (45) 6892016 Vote: Other 74% (128) 16% (28) 4% (8) 1% (2) 5% (8) 1742016 Vote: Didn’t Vote 67% (306) 15% (68) 4% (17) 1% (3) 13% (60) 455Voted in 2014: Yes 78% (1028) 14% (183) 2% (27) 1% (9) 5% (72) 1318Voted in 2014: No 70% (466) 15% (97) 4% (27) 1% (4) 11% (75) 668



25

Table CCS3_1







Registered Voters 75% (1493) 14% (280) 3% (54) 1% (13) 7% (147) 19862012 Vote: Barack Obama 78% (616) 13% (100) 2% (16) 1% (4) 7% (51) 7882012 Vote: Mitt Romney 76% (428) 15% (84) 3% (15) 1% (4) 6% (32) 5632012 Vote: Other 80% (61) 10% (7) 1% (1) 1% (1) 8% (6) 772012 Vote: Didn’t Vote 69% (385) 16% (86) 4% (22) 1% (4) 10% (57) 5544-Region: Northeast 76% (268) 13% (44) 5% (16) — (2) 7% (25) 3544-Region: Midwest 76% (346) 15% (69) 2% (9) 1% (5) 6% (28) 4564-Region: South 75% (555) 13% (99) 3% (22) 1% (4) 8% (61) 7414-Region: West 75% (325) 15% (67) 2% (7) — (2) 8% (33) 434Traveled within U.S. in past year: None 73% (438) 11% (67) 1% (7) 1% (4) 14% (85) 602Traveled within U.S. in past year: 1 to 3 times 75% (664) 17% (147) 3% (22) 1% (5) 5% (44) 882Traveled within U.S. in past year: 4 to 6 times 81% (250) 10% (32) 5% (17) 1% (3) 3% (8) 310Traveled within U.S. in past year: 7 to 10 times 70% (68) 20% (19) 6% (6) — (0) 4% (4) 97Traveled within U.S. in past year: More than 10 times 76% (73) 14% (14) 3% (2) 1% (1) 5% (5) 95Traveled outside U.S. in past year: None 75% (1236) 14% (227) 3% (42) 1% (9) 8% (133) 1646Traveled outside U.S. in past year: 1 to 3 times 77% (221) 15% (44) 3% (9) 1% (2) 4% (11) 287Stayed at hotel in U.S. in past year: None 73% (514) 13% (94) 1% (10) 1% (4) 12% (86) 708Stayed at hotel in U.S. in past year: 1 to 3 times 77% (622) 14% (115) 3% (23) — (2) 5% (44) 805Stayed at hotel in U.S. in past year: 4 to 6 times 76% (189) 13% (32) 6% (14) 1% (3) 4% (10) 249Stayed at hotel in U.S. in past year: 7 to 10 times 77% (82) 15% (16) 4% (5) 1% (2) 3% (3) 107Stayed at hotel in U.S. in past year: More than 10 times 74% (86) 19% (22) 3% (3) 1% (1) 3% (4) 117Stayed at hotel outside of U.S. in past year: None 75% (1226) 14% (225) 2% (40) 1% (9) 8% (128) 1629Stayed at hotel outside of U.S. in past year: 1 to 3 times 76% (171) 17% (38) 3% (8) — (1) 3% (7) 224Stayed at hotel outside of U.S. in past year: 4 to 6 times 74% (46) 15% (9) 5% (3) 2% (1) 4% (2) 62Traveled by airplane in past year: None 74% (879) 14% (169) 2% (28) 1% (8) 9% (110) 1195Traveled by airplane in past year: 1 to 3 times 79% (459) 13% (74) 3% (20) — (2) 4% (23) 577Traveled by airplane in past year: 4 to 6 times 78% (105) 15% (20) 2% (3) — (1) 5% (6) 135Travel within U.S. in next year: Yes 76% (946) 15% (184) 3% (43) 1% (10) 4% (55) 1238Travel within U.S. in next year: No 73% (547) 13% (96) 1% (11) — (3) 12% (92) 748


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Registered Voters 75% (1493) 14% (280) 3% (54) 1% (13) 7% (147) 1986Travel outside U.S. in next year: Yes 76% (247) 14% (46) 4% (14) 1% (2) 5% (15) 324Travel outside U.S. in next year: No 75% (1246) 14% (234) 2% (40) 1% (11) 8% (132) 1662Stay at hotel in U.S. in next year: Yes 76% (822) 15% (165) 3% (38) 1% (7) 5% (50) 1081Stay at hotel in U.S. in next year: No 74% (671) 13% (115) 2% (16) 1% (5) 11% (97) 905Stay at hotel outside of U.S. in next year: Yes 76% (266) 15% (52) 4% (15) 1% (3) 4% (15) 351Stay at hotel outside of U.S. in next year: No 75% (1227) 14% (227) 2% (39) 1% (10) 8% (132) 1635Travel by airplane in next year: Yes 76% (532) 14% (100) 4% (30) 1% (4) 5% (33) 699Travel by airplane in next year: No 75% (961) 14% (180) 2% (24) 1% (8) 9% (114) 1287Travel for spring break in next year: Yes 73% (175) 15% (37) 4% (10) 1% (2) 7% (16) 238Travel for spring break in next year: No 75% (1319) 14% (243) 3% (44) 1% (11) 7% (131) 1748Film: An avid fan 81% (532) 11% (74) 2% (16) — (3) 5% (32) 656Film: A casual fan 73% (789) 17% (183) 3% (32) 1% (6) 6% (64) 1074Film: Not a fan 67% (172) 9% (23) 3% (6) 1% (4) 20% (51) 255Television: An avid fan 81% (797) 12% (123) 1% (14) — (2) 5% (52) 989Television: A casual fan 72% (624) 15% (131) 4% (36) 1% (7) 8% (73) 872Television: Not a fan 57% (71) 20% (25) 3% (3) 3% (3) 17% (22) 125Music: An avid fan 78% (729) 13% (126) 3% (28) — (4) 5% (50) 937Music: A casual fan 74% (684) 16% (144) 2% (23) 1% (6) 8% (70) 927Music: Not a fan 65% (80) 8% (10) 3% (4) 3% (3) 21% (26) 122Sports: An avid fan 79% (449) 13% (75) 2% (14) — (1) 6% (31) 570Sports: A casual fan 76% (578) 15% (115) 2% (17) 1% (4) 6% (44) 758Sports: Not a fan 71% (467) 14% (90) 3% (23) 1% (7) 11% (71) 658Film Fan 76% (1321) 15% (257) 3% (47) 1% (9) 6% (96) 1731Television Fan 76% (1422) 14% (254) 3% (51) 1% (9) 7% (125) 1861Music Fan 76% (1413) 14% (270) 3% (50) 1% (9) 6% (121) 1864Sports Fan 77% (1026) 14% (190) 2% (31) — (5) 6% (75) 1328Traveled outside of U.S. in past year 1+ times 76% (257) 15% (52) 4% (12) 1% (4) 4% (14) 340Frequent Flyer 73% (156) 17% (37) 3% (6) 1% (2) 6% (13) 214Concerned about coronavirus 81% (1297) 13% (204) 2% (24) — (5) 4% (64) 1594



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Table CCS3_1







Registered Voters 75% (1493) 14% (280) 3% (54) 1% (13) 7% (147) 1986Concerned about spread of coronavirus in US 81% (1326) 13% (218) 1% (23) — (4) 4% (63) 1634Would get coronavirus vaccine 81% (1118) 13% (174) 2% (29) — (3) 4% (56) 1380Would not get coronavirus vaccine 58% (123) 22% (47) 7% (14) 2% (4) 12% (25) 213Vaccinated for Flu 77% (813) 13% (138) 2% (26) 1% (7) 6% (67) 1050Not vaccinated for Flu 73% (680) 15% (142) 3% (28) 1% (6) 9% (80) 936Note: Row proportions may total to larger than one-hundred percent due to rounding. For more information visit MorningConsultIntelligence.com.


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Table CCS3_2: To what extent is the coronavirus a health risk in the following places?Asia






Registered Voters 63% (1249) 20% (399) 4% (75) 1% (18) 12% (245) 1986Gender: Male 63% (590) 23% (209) 4% (40) 1% (10) 9% (81) 930Gender: Female 62% (659) 18% (190) 3% (35) 1% (8) 16% (164) 1056Age: 18-29 51% (182) 25% (89) 5% (19) 2% (5) 17% (60) 355Age: 30-44 58% (260) 20% (89) 5% (23) 1% (5) 15% (68) 445Age: 45-54 59% (171) 23% (65) 6% (17) 1% (3) 11% (31) 287Age: 55-64 71% (310) 16% (69) 2% (10) 1% (3) 10% (45) 436Age: 65+ 71% (326) 19% (87) 1% (6) — (1) 9% (41) 462Generation Z: 18-22 47% (85) 24% (42) 8% (14) 1% (2) 21% (37) 180Millennial: Age 23-38 58% (255) 22% (97) 4% (17) 1% (6) 15% (68) 443Generation X: Age 39-54 59% (273) 22% (103) 6% (28) 1% (5) 12% (55) 464Boomers: Age 55-73 71% (564) 17% (138) 2% (13) 1% (4) 9% (75) 795PID: Dem (no lean) 66% (505) 18% (138) 3% (20) 1% (9) 12% (88) 761PID: Ind (no lean) 62% (337) 20% (110) 5% (26) 1% (3) 13% (71) 547PID: Rep (no lean) 60% (406) 22% (151) 4% (29) 1% (5) 13% (86) 677PID/Gender: DemMen 66% (211) 21% (68) 3% (9) 2% (5) 9% (28) 322PID/Gender: DemWomen 67% (294) 16% (71) 2% (11) 1% (4) 14% (59) 439PID/Gender: Ind Men 62% (168) 23% (62) 5% (13) 1% (2) 9% (25) 270PID/Gender: Ind Women 61% (169) 18% (49) 4% (12) — (1) 17% (46) 278PID/Gender: Rep Men 62% (211) 24% (80) 5% (17) 1% (3) 8% (27) 338PID/Gender: Rep Women 58% (195) 21% (71) 4% (12) 1% (3) 17% (59) 340Ideo: Liberal (1-3) 67% (381) 21% (118) 3% (17) 1% (4) 8% (44) 565Ideo: Moderate (4) 66% (353) 17% (89) 5% (24) 1% (4) 12% (61) 531Ideo: Conservative (5-7) 61% (435) 23% (161) 4% (27) 1% (7) 11% (82) 712Educ: < College 61% (760) 18% (231) 4% (47) 1% (12) 16% (200) 1249Educ: Bachelors degree 64% (302) 24% (114) 4% (21) 1% (5) 6% (29) 470Educ: Post-grad 70% (187) 21% (55) 3% (8) — (1) 6% (17) 267Income: Under 50k 62% (642) 19% (203) 3% (29) 1% (9) 15% (159) 1041Income: 50k-100k 64% (396) 19% (119) 5% (33) 1% (4) 11% (65) 617Income: 100k+ 64% (211) 24% (78) 4% (13) 1% (5) 6% (21) 328



29

Table CCS3_2







Registered Voters 63% (1249) 20% (399) 4% (75) 1% (18) 12% (245) 1986Ethnicity: White 64% (1027) 20% (327) 4% (59) 1% (11) 11% (183) 1606Ethnicity: Hispanic 69% (133) 14% (28) 5% (9) 2% (3) 10% (19) 192Ethnicity: Afr. Am. 53% (135) 18% (46) 4% (10) 3% (7) 22% (54) 252Ethnicity: Other 68% (87) 21% (26) 5% (6) — (0) 6% (8) 128All Christian 66% (622) 21% (201) 3% (31) 1% (6) 9% (86) 946All Non-Christian 64% (62) 15% (15) 6% (6) 6% (6) 8% (8) 96Atheist 63% (52) 25% (21) 7% (6) — (0) 5% (4) 83Agnostic/Nothing in particular 60% (512) 19% (163) 4% (32) 1% (6) 17% (147) 861Religious Non-Protestant/Catholic 66% (79) 16% (19) 6% (8) 5% (6) 7% (8) 119Evangelical 60% (318) 20% (107) 4% (20) 1% (5) 16% (84) 534Non-Evangelical 68% (514) 19% (144) 3% (19) — (2) 11% (80) 759Community: Urban 62% (301) 20% (98) 4% (17) 1% (5) 14% (68) 489Community: Suburban 64% (613) 21% (196) 4% (38) 1% (8) 10% (98) 953Community: Rural 61% (334) 19% (106) 4% (20) 1% (5) 15% (79) 544Employ: Private Sector 61% (373) 24% (146) 5% (29) 1% (4) 10% (59) 611Employ: Government 54% (77) 25% (36) 6% (8) 1% (2) 14% (20) 143Employ: Self-Employed 71% (108) 13% (20) 6% (9) 1% (2) 9% (14) 152Employ: Homemaker 50% (44) 20% (17) 5% (4) 3% (2) 23% (21) 89Employ: Retired 71% (379) 18% (96) 2% (11) 1% (3) 8% (45) 535Employ: Unemployed 60% (115) 18% (34) 3% (7) 1% (2) 17% (33) 192Employ: Other 60% (82) 16% (22) 1% (2) 1% (2) 22% (30) 137Military HH: Yes 65% (236) 20% (72) 4% (14) — (0) 11% (41) 362Military HH: No 62% (1013) 20% (328) 4% (61) 1% (18) 13% (205) 1624RD/WT: Right Direction 60% (468) 20% (158) 5% (39) 1% (10) 14% (111) 785RD/WT: Wrong Track 65% (781) 20% (242) 3% (36) 1% (8) 11% (134) 1201Trump Job Approve 60% (515) 22% (186) 5% (43) 1% (5) 13% (108) 857Trump Job Disapprove 66% (711) 19% (205) 3% (29) 1% (11) 11% (116) 1072


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Registered Voters 63% (1249) 20% (399) 4% (75) 1% (18) 12% (245) 1986Trump Job Strongly Approve 64% (315) 17% (82) 3% (16) 1% (5) 15% (72) 491Trump Job Somewhat Approve 55% (200) 28% (103) 7% (27) — (0) 10% (36) 366Trump Job Somewhat Disapprove 62% (138) 15% (32) 4% (9) 2% (4) 17% (38) 222Trump Job Strongly Disapprove 67% (573) 20% (173) 2% (20) 1% (7) 9% (77) 851Favorable of Trump 60% (506) 21% (178) 6% (47) 1% (7) 13% (107) 844Unfavorable of Trump 67% (718) 20% (211) 3% (28) 1% (8) 10% (106) 1070Very Favorable of Trump 63% (321) 16% (80) 5% (27) 1% (7) 15% (74) 509Somewhat Favorable of Trump 55% (184) 29% (99) 6% (20) — (0) 10% (32) 335Somewhat Unfavorable of Trump 66% (123) 18% (34) 2% (4) 1% (1) 13% (25) 187Very Unfavorable of Trump 67% (595) 20% (177) 3% (23) 1% (7) 9% (81) 883#1 Issue: Economy 61% (276) 22% (99) 4% (20) — (2) 13% (57) 454#1 Issue: Security 62% (202) 22% (73) 3% (10) 1% (4) 12% (38) 327#1 Issue: Health Care 70% (358) 18% (90) 3% (14) 1% (3) 9% (46) 511#1 Issue: Medicare / Social Security 64% (203) 16% (52) 3% (8) 1% (4) 16% (51) 319#1 Issue: Women’s Issues 49% (44) 29% (26) 3% (3) 1% (1) 18% (16) 90#1 Issue: Education 49% (49) 21% (20) 13% (13) 2% (2) 15% (15) 100#1 Issue: Energy 58% (46) 28% (22) 5% (4) — (0) 9% (7) 78#1 Issue: Other 67% (72) 16% (17) 2% (2) 1% (1) 14% (15) 1072018 House Vote: Democrat 70% (528) 19% (143) 2% (12) 1% (9) 8% (64) 7552018 House Vote: Republican 62% (433) 21% (144) 5% (33) 1% (4) 11% (79) 6932018 House Vote: Someone else 56% (44) 24% (19) 8% (6) 2% (1) 10% (8) 792016 Vote: Hillary Clinton 71% (474) 17% (116) 2% (12) 1% (4) 9% (59) 6652016 Vote: Donald Trump 61% (423) 21% (147) 5% (31) 1% (7) 12% (82) 6892016 Vote: Other 61% (105) 24% (43) 5% (9) 1% (2) 8% (14) 1742016 Vote: Didn’t Vote 54% (243) 21% (94) 5% (22) 1% (5) 20% (90) 455Voted in 2014: Yes 67% (877) 20% (267) 3% (39) 1% (11) 9% (123) 1318Voted in 2014: No 56% (371) 20% (132) 5% (36) 1% (6) 18% (122) 668



31

Table CCS3_2







Registered Voters 63% (1249) 20% (399) 4% (75) 1% (18) 12% (245) 19862012 Vote: Barack Obama 70% (551) 16% (130) 2% (18) 1% (5) 11% (84) 7882012 Vote: Mitt Romney 60% (340) 24% (134) 5% (27) 1% (6) 10% (55) 5632012 Vote: Other 68% (52) 20% (15) 2% (2) — (0) 11% (8) 772012 Vote: Didn’t Vote 55% (303) 22% (119) 5% (28) 1% (6) 18% (98) 5544-Region: Northeast 60% (212) 22% (77) 5% (19) 1% (2) 12% (44) 3544-Region: Midwest 60% (276) 23% (106) 2% (7) 1% (4) 14% (64) 4564-Region: South 65% (480) 17% (126) 5% (35) 1% (9) 12% (92) 7414-Region: West 65% (281) 21% (90) 3% (14) 1% (3) 11% (46) 434Traveled within U.S. in past year: None 59% (356) 16% (97) 2% (11) 1% (6) 22% (131) 602Traveled within U.S. in past year: 1 to 3 times 64% (562) 23% (202) 4% (34) — (4) 9% (80) 882Traveled within U.S. in past year: 4 to 6 times 67% (208) 20% (62) 6% (18) 1% (4) 6% (17) 310Traveled within U.S. in past year: 7 to 10 times 60% (58) 20% (20) 9% (9) 3% (2) 9% (9) 97Traveled within U.S. in past year: More than 10 times 69% (65) 19% (18) 3% (3) 1% (1) 8% (8) 95Traveled outside U.S. in past year: None 63% (1036) 19% (320) 3% (56) 1% (13) 13% (222) 1646Traveled outside U.S. in past year: 1 to 3 times 65% (187) 23% (66) 4% (12) 1% (2) 7% (20) 287Stayed at hotel in U.S. in past year: None 60% (426) 17% (121) 2% (17) 1% (8) 19% (136) 708Stayed at hotel in U.S. in past year: 1 to 3 times 65% (519) 22% (178) 4% (30) — (3) 9% (74) 805Stayed at hotel in U.S. in past year: 4 to 6 times 65% (161) 20% (51) 6% (15) 2% (4) 7% (18) 249Stayed at hotel in U.S. in past year: 7 to 10 times 65% (70) 21% (22) 7% (7) — (0) 7% (8) 107Stayed at hotel in U.S. in past year: More than 10 times 62% (73) 23% (27) 5% (5) 2% (2) 8% (9) 117Stayed at hotel outside of U.S. in past year: None 63% (1022) 20% (323) 3% (54) 1% (14) 13% (216) 1629Stayed at hotel outside of U.S. in past year: 1 to 3 times 64% (144) 24% (54) 5% (12) — (1) 6% (13) 224Stayed at hotel outside of U.S. in past year: 4 to 6 times 63% (39) 15% (9) 9% (5) 2% (1) 11% (7) 62Traveled by airplane in past year: None 61% (735) 19% (226) 3% (41) 1% (13) 15% (181) 1195Traveled by airplane in past year: 1 to 3 times 66% (379) 21% (120) 4% (25) 1% (4) 8% (49) 577Traveled by airplane in past year: 4 to 6 times 65% (88) 26% (35) 4% (5) — (0) 5% (7) 135Travel within U.S. in next year: Yes 63% (782) 22% (271) 5% (60) 1% (12) 9% (113) 1238Travel within U.S. in next year: No 62% (467) 17% (129) 2% (15) 1% (5) 18% (133) 748


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Registered Voters 63% (1249) 20% (399) 4% (75) 1% (18) 12% (245) 1986Travel outside U.S. in next year: Yes 62% (200) 25% (82) 6% (18) 2% (5) 6% (19) 324Travel outside U.S. in next year: No 63% (1049) 19% (317) 3% (57) 1% (13) 14% (226) 1662Stay at hotel in U.S. in next year: Yes 62% (671) 23% (247) 5% (52) 1% (8) 10% (104) 1081Stay at hotel in U.S. in next year: No 64% (578) 17% (152) 3% (23) 1% (10) 16% (141) 905Stay at hotel outside of U.S. in next year: Yes 63% (222) 24% (83) 6% (19) 1% (3) 6% (22) 351Stay at hotel outside of U.S. in next year: No 63% (1027) 19% (316) 3% (55) 1% (15) 14% (223) 1635Travel by airplane in next year: Yes 61% (426) 24% (170) 5% (35) 1% (8) 9% (61) 699Travel by airplane in next year: No 64% (823) 18% (230) 3% (40) 1% (10) 14% (185) 1287Travel for spring break in next year: Yes 55% (132) 22% (52) 8% (20) 2% (4) 13% (30) 238Travel for spring break in next year: No 64% (1117) 20% (347) 3% (55) 1% (14) 12% (215) 1748Film: An avid fan 69% (453) 17% (110) 3% (20) 1% (5) 10% (69) 656Film: A casual fan 62% (665) 22% (241) 4% (46) 1% (8) 11% (115) 1074Film: Not a fan 51% (131) 19% (49) 3% (9) 2% (5) 24% (61) 255Television: An avid fan 70% (691) 17% (166) 2% (21) 1% (7) 11% (104) 989Television: A casual fan 57% (501) 24% (205) 5% (47) 1% (7) 13% (112) 872Television: Not a fan 45% (57) 23% (29) 6% (7) 3% (3) 23% (29) 125Music: An avid fan 66% (620) 19% (178) 3% (29) — (4) 11% (106) 937Music: A casual fan 61% (563) 22% (203) 4% (41) 1% (9) 12% (110) 927Music: Not a fan 54% (66) 15% (19) 3% (4) 3% (4) 24% (29) 122Sports: An avid fan 66% (375) 21% (121) 4% (20) 1% (3) 9% (51) 570Sports: A casual fan 63% (476) 22% (165) 3% (25) 1% (5) 11% (86) 758Sports: Not a fan 60% (398) 17% (114) 4% (29) 1% (10) 16% (108) 658Film Fan 65% (1118) 20% (350) 4% (66) 1% (12) 11% (184) 1731Television Fan 64% (1192) 20% (371) 4% (68) 1% (14) 12% (216) 1861Music Fan 63% (1183) 20% (381) 4% (71) 1% (13) 12% (216) 1864Sports Fan 64% (851) 22% (286) 3% (46) 1% (8) 10% (137) 1328Traveled outside of U.S. in past year 1+ times 63% (213) 23% (79) 6% (19) 1% (5) 7% (24) 340Frequent Flyer 63% (135) 25% (53) 4% (9) 1% (1) 7% (16) 214Concerned about coronavirus 70% (1114) 18% (294) 2% (37) — (6) 9% (143) 1594



33

Table CCS3_2







Registered Voters 63% (1249) 20% (399) 4% (75) 1% (18) 12% (245) 1986Concerned about spread of coronavirus in US 70% (1136) 19% (309) 2% (37) — (7) 9% (145) 1634Would get coronavirus vaccine 70% (966) 18% (253) 3% (44) — (5) 8% (113) 1380Would not get coronavirus vaccine 41% (87) 29% (62) 8% (18) 3% (5) 19% (41) 213Vaccinated for Flu 66% (693) 19% (196) 3% (35) 1% (11) 11% (115) 1050Not vaccinated for Flu 59% (556) 22% (204) 4% (40) 1% (7) 14% (131) 936Note: Row proportions may total to larger than one-hundred percent due to rounding. For more information visit MorningConsultIntelligence.com.


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Table CCS3_3: To what extent is the coronavirus a health risk in the following places?Europe






Registered Voters 59% (1180) 25% (490) 4% (89) 1% (20) 10% (207) 1986Gender: Male 60% (557) 26% (243) 5% (49) 1% (11) 7% (70) 930Gender: Female 59% (623) 23% (248) 4% (40) 1% (9) 13% (137) 1056Age: 18-29 47% (166) 30% (105) 6% (21) 2% (6) 16% (57) 355Age: 30-44 56% (249) 24% (107) 5% (23) 2% (7) 13% (58) 445Age: 45-54 56% (161) 28% (79) 7% (19) 1% (3) 9% (25) 287Age: 55-64 63% (274) 25% (108) 3% (13) — (1) 9% (39) 436Age: 65+ 71% (328) 20% (91) 3% (13) 1% (3) 6% (27) 462Generation Z: 18-22 40% (73) 33% (60) 7% (12) 1% (2) 18% (33) 180Millennial: Age 23-38 55% (245) 25% (109) 5% (22) 1% (6) 14% (62) 443Generation X: Age 39-54 56% (260) 26% (123) 6% (29) 2% (8) 10% (46) 464Boomers: Age 55-73 66% (528) 22% (177) 3% (24) — (4) 8% (61) 795PID: Dem (no lean) 65% (491) 21% (161) 3% (20) 1% (9) 10% (80) 761PID: Ind (no lean) 55% (301) 28% (153) 6% (34) 1% (5) 10% (54) 547PID: Rep (no lean) 57% (387) 26% (177) 5% (35) 1% (6) 11% (73) 677PID/Gender: DemMen 65% (211) 22% (70) 3% (10) 2% (6) 8% (26) 322PID/Gender: DemWomen 64% (281) 21% (91) 2% (10) 1% (3) 12% (54) 439PID/Gender: Ind Men 56% (152) 28% (76) 6% (17) 1% (3) 8% (22) 270PID/Gender: Ind Women 54% (150) 28% (77) 6% (17) 1% (2) 12% (32) 278PID/Gender: Rep Men 58% (195) 29% (97) 7% (22) 1% (3) 7% (22) 338PID/Gender: Rep Women 57% (192) 24% (80) 4% (13) 1% (3) 15% (51) 340Ideo: Liberal (1-3) 64% (364) 24% (137) 3% (20) 1% (8) 6% (36) 565Ideo: Moderate (4) 64% (341) 21% (112) 6% (29) 1% (4) 8% (44) 531Ideo: Conservative (5-7) 55% (395) 29% (210) 5% (33) 1% (7) 10% (68) 712Educ: < College 57% (711) 23% (289) 5% (67) 1% (15) 13% (168) 1249Educ: Bachelors degree 64% (302) 26% (122) 4% (18) 1% (4) 5% (24) 470Educ: Post-grad 63% (168) 30% (80) 2% (5) — (1) 5% (14) 267Income: Under 50k 57% (597) 25% (262) 4% (38) 1% (11) 13% (133) 1041Income: 50k-100k 62% (383) 23% (139) 6% (37) 1% (5) 9% (53) 617Income: 100k+ 61% (200) 27% (89) 4% (14) 1% (4) 6% (20) 328



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Table CCS3_3







Registered Voters 59% (1180) 25% (490) 4% (89) 1% (20) 10% (207) 1986Ethnicity: White 60% (961) 26% (417) 5% (76) 1% (12) 9% (141) 1606Ethnicity: Hispanic 61% (116) 26% (50) 3% (6) 1% (1) 10% (19) 192Ethnicity: Afr. Am. 57% (144) 13% (32) 4% (9) 3% (8) 23% (59) 252Ethnicity: Other 59% (75) 33% (42) 3% (4) — (0) 6% (7) 128All Christian 63% (596) 25% (240) 4% (36) 1% (7) 7% (66) 946All Non-Christian 70% (67) 18% (17) 3% (3) 1% (1) 8% (8) 96Atheist 54% (45) 33% (27) 10% (8) — (0) 3% (3) 83Agnostic/Nothing in particular 55% (472) 24% (206) 5% (42) 1% (12) 15% (130) 861Religious Non-Protestant/Catholic 69% (83) 20% (24) 3% (4) 1% (1) 7% (8) 119Evangelical 57% (305) 23% (122) 4% (24) 1% (7) 14% (75) 534Non-Evangelical 64% (483) 24% (182) 4% (30) 1% (5) 8% (58) 759Community: Urban 62% (305) 19% (95) 4% (19) 1% (7) 13% (63) 489Community: Suburban 59% (565) 27% (255) 5% (44) 1% (10) 8% (79) 953Community: Rural 57% (310) 26% (141) 5% (25) 1% (3) 12% (64) 544Employ: Private Sector 59% (363) 27% (166) 5% (32) 1% (6) 7% (44) 611Employ: Government 51% (73) 26% (37) 7% (11) 1% (2) 14% (21) 143Employ: Self-Employed 61% (93) 21% (32) 6% (10) 3% (4) 9% (14) 152Employ: Homemaker 44% (39) 28% (24) 5% (5) 3% (2) 21% (18) 89Employ: Retired 69% (368) 22% (115) 3% (14) 1% (3) 7% (35) 535Employ: Unemployed 55% (105) 23% (44) 4% (8) 1% (1) 17% (33) 192Employ: Other 58% (80) 22% (30) 2% (3) 1% (1) 16% (22) 137Military HH: Yes 63% (228) 22% (81) 5% (19) — (0) 10% (35) 362Military HH: No 59% (952) 25% (410) 4% (70) 1% (20) 11% (172) 1624RD/WT: Right Direction 57% (444) 25% (198) 5% (39) 1% (11) 12% (93) 785RD/WT: Wrong Track 61% (736) 24% (292) 4% (50) 1% (9) 9% (113) 1201Trump Job Approve 56% (484) 26% (226) 5% (47) 1% (10) 11% (90) 857Trump Job Disapprove 63% (673) 24% (255) 3% (37) 1% (9) 9% (98) 1072


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Registered Voters 59% (1180) 25% (490) 4% (89) 1% (20) 10% (207) 1986Trump Job Strongly Approve 59% (289) 23% (115) 4% (21) 2% (8) 12% (58) 491Trump Job Somewhat Approve 53% (195) 30% (111) 7% (26) — (2) 9% (32) 366Trump Job Somewhat Disapprove 57% (126) 25% (55) 5% (10) — (1) 14% (30) 222Trump Job Strongly Disapprove 64% (547) 24% (200) 3% (27) 1% (8) 8% (6

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NationalTrackingPoll#200346 March13-16,2020 ......NationalTrackingPoll#200346,March,2020 50 TableCCS8_11: Doyouapproveordisapproveofthejobeachofthefollowingisdoingin handlingthespreadofcoronavirusintheUnitedStates