home harrispoll | the harris poll - male female · 2020-04-22 · page 3 fielding period: march 14...

Fielding Period: March 14 - April 20, 2020COVID-19Weighted To The U.S. General Adult Population - Propensity

20 Apr 2020Table 1Q1 Which of the following are you not willing to do given the current outbreak of Coronavirus (COVID-19)? Please select

all that apply.

Base: All Respondents

Waves Gender Age Income Political Parent State

Wave 2 Wave 3 Wave 4 Wave 5 Wave 6 Wave 7 Wave 8 Less(3/14 - (3/17 - (3/21 - (3/28 - (4/3 - (4/11- (4/18- than $50k - New Michi-3/15) 3/18) 3/23) 3/30) 4/5) 4/13) 4/20) MALE FEMALE 18-34 35-49 50-64 65+ $50k $75k $75k+ GOP DEM IND/OTH Yes No York gan

(A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q) (R) (S) (T) (U) (V) (W)

2050 2019 2023 - - - 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base2050 2019 2023 -** -** -** 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

1245 1331 1439 - - - 1407 643 764 337 339 382 350 390 255 682 431 542 435 791 595 125 4261% 66% 71% - - - 69% 65% 73% 56% 67% 76% 83% 64% 77% 71% 69% 74% 65% 69% 71% 69% 74%

A AB Ab H J JK JKL Np N S

Attend a large publicevent (e.g., concert,school dance recital)

1101 1283 1429 - - - 1402 652 749 337 343 372 350 383 259 679 411 554 437 782 595 115 4754% 64% 71% - - - 69% 66% 72% 56% 68% 74% 82% 63% 78% 70% 66% 75% 65% 68% 71% 64% 82%

A AB AB H J Jk JKL NP N QS V

Go to the movie theatre

981 1174 1385 - - - 1391 639 753 326 332 378 355 381 253 675 420 545 427 784 586 119 4448% 58% 68% - - - 69% 65% 72% 55% 66% 75% 84% 63% 76% 70% 67% 74% 64% 69% 70% 66% 77%

A AB AB H J JK JKL Np N QS

Go to a social gathering

1126 1252 1395 - - - 1365 647 717 327 334 368 336 368 254 662 412 539 413 777 567 118 4155% 62% 69% - - - 67% 66% 69% 55% 66% 73% 79% 60% 77% 69% 66% 73% 62% 68% 68% 65% 72%

A AB AB J JK JKl NP N QS

Attend a sporting event

1240 1338 1421 - - - 1361 626 735 319 329 371 342 367 256 655 409 531 422 773 565 113 4461% 66% 70% - - - 67% 63% 71% 53% 65% 74% 80% 60% 77% 68% 66% 72% 63% 68% 68% 63% 77%

A ABg A H J JK JKl NP N QS

Travel on an airplane

759 1121 1333 - - - 1345 611 734 322 318 364 341 371 248 647 404 531 410 745 576 108 4137% 56% 66% - - - 66% 62% 70% 54% 63% 72% 80% 61% 75% 67% 65% 72% 61% 65% 69% 60% 72%

A AB AB H J JK JKL NP N QS

Dine out at a restaurant/bar

909 1170 1296 - - - 1326 614 712 323 324 350 329 364 249 636 406 534 386 754 550 112 3944% 58% 64% - - - 65% 62% 68% 54% 64% 70% 77% 60% 75% 66% 65% 73% 58% 66% 66% 62% 69%

A AB AB H J J JKL NP N S QS

Go to the gym/work outclass

772 964 1157 - - - 1245 569 676 300 292 337 316 333 228 615 366 503 376 694 528 107 3438% 48% 57% - - - 61% 58% 65% 50% 58% 67% 74% 55% 69% 64% 59% 68% 56% 61% 63% 59% 60%

A AB ABC H J JK JKL N N QS

Attend church

875 1067 1218 - - - 1239 545 695 310 297 322 310 339 244 587 377 490 372 700 520 90 3943% 53% 60% - - - 61% 55% 67% 52% 59% 64% 73% 56% 74% 61% 60% 67% 56% 61% 62% 50% 69%

A AB AB H j J JKL NP n qS V

Shop at a mall/retail outlet

662 935 1112 - - - 1114 513 601 273 265 283 293 305 210 538 343 434 337 620 471 95 3632% 46% 55% - - - 55% 52% 58% 46% 53% 56% 69% 50% 63% 56% 55% 59% 50% 54% 56% 53% 62%

A AB AB H j J JKL NP n S

Go to school/university

529 858 1021 - - - 1064 490 574 238 241 285 299 298 196 510 329 426 309 609 440 87 3326% 42% 50% - - - 52% 50% 55% 40% 48% 57% 71% 49% 59% 53% 53% 58% 46% 53% 53% 48% 57%

A AB AB H J JK JKL N s S

Go to my local coffee shop

370 598 756 - - - 808 387 421 215 195 185 213 211 149 399 253 316 239 454 336 78 2718% 30% 37% - - - 40% 39% 40% 36% 39% 37% 50% 35% 45% 41% 41% 43% 36% 40% 40% 43% 47%

A AB AB JKL N N S

Work from the office

393 522 549 - - - 722 285 437 188 169 180 184 223 140 312 217 281 223 403 305 68 2319% 26% 27% - - - 36% 29% 42% 32% 34% 36% 43% 37% 42% 32% 35% 38% 33% 35% 36% 37% 40%

A A ABC H JKl P

Go to the hospital/doctor’soffice

278 335 337 - - - 448 208 240 153 108 86 101 132 60 230 143 175 130 258 179 46 1314% 17% 17% - - - 22% 21% 23% 26% 21% 17% 24% 22% 18% 24% 23% 24% 19% 23% 21% 26% 24%

A A ABC L L o

Go to the grocery store

204 288 316 - - - 380 184 196 106 84 87 102 115 66 178 116 137 127 215 156 34 1410% 14% 16% - - - 19% 19% 19% 18% 17% 17% 24% 19% 20% 18% 19% 19% 19% 19% 19% 19% 24%

A A ABC jKL

Pick up prescriptions inperson at my pharmacy

362 257 186 - - - 190 92 97 69 48 41 32 82 27 63 60 35 95 88 86 11 818% 13% 9% - - - 9% 9% 9% 11% 10% 8% 7% 13% 8% 7% 10% 5% 14% 8% 10% 6% 13%

BCG CG m OP R QR

None of these

__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


20 Apr 2020Table 1Q1 Which of the following are you not willing to do given the current outbreak of Coronavirus (COVID-19)? Please select

all that apply.





2050 2019 2023 -** -** -** 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base11808 14492 16348 - - - 16807 7705 9102 4144 4019 4392 4253 4663 3095 8069 5097 6572 5138 9447 7055 1426 524

576% 718% 808% - - - 828% 781% 874% 693% 797% 874% 1002% 765% 933% 836% 818% 893% 767% 826% 845% 790% 920%Sigma



20 Apr 2020Table 2Q8 Would you obey the following mandated restrictions?

Summary Of Would Follow Restriction





- - 2023 2016 1993 - 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** 2023 2016 1993 -** 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - 1900 1888 1880 - 1917 911 1006 540 472 486 418 566 326 906 594 700 623 1088 792 168 57- - 94% 94% 94% - 94% 92% 97% 90% 94% 97% 99% 93% 98% 94% 95% 95% 93% 95% 95% 93% 100%

H JK JK NP

No international travel

- - 1888 1876 1869 - 1876 887 990 530 449 480 416 564 313 883 583 690 603 1048 794 163 57- - 93% 93% 94% - 92% 90% 95% 89% 89% 96% 98% 93% 94% 92% 94% 94% 90% 92% 95% 91% 100%

H JK JKl s S T v

No dining in bars andrestaurants

- - 1882 1848 1871 - 1869 898 970 528 455 473 412 550 312 892 583 678 607 1054 778 170 56- - 93% 92% 94% - 92% 91% 93% 88% 90% 94% 97% 90% 94% 92% 94% 92% 91% 92% 93% 94% 98%

Dg JK JKl n

Convening with groups nolarger than 10 people

- - 1736 1837 1845 - 1855 876 979 512 454 477 411 556 307 876 572 694 588 1045 778 167 55- - 86% 91% 93% - 91% 89% 94% 86% 90% 95% 97% 91% 93% 91% 92% 94% 88% 91% 93% 92% 97%

C C C H j JK JK s S

Staying 6 feet apart fromothers at all times

- - 1833 1852 1853 - 1847 867 980 519 449 468 411 545 312 879 572 684 592 1040 769 164 54- - 91% 92% 93% - 91% 88% 94% 87% 89% 93% 97% 89% 94% 91% 92% 93% 88% 91% 92% 91% 95%

Cg H Jk JKl N s S

Non-essential workers tostay home



20 Apr 2020Table 3Q8 Would you obey the following mandated restrictions?

Summary Of Would Not Follow Restriction





- - 2023 2016 1993 - 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** 2023 2016 1993 -** 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - 190 164 140 - 182 120 62 79 55 34 14 64 20 86 52 52 78 104 67 16 3- - 9% 8% 7% - 9% 12% 6% 13% 11% 7% 3% 11% 6% 9% 8% 7% 12% 9% 8% 9% 5%

E e I LM lM m O qR

Non-essential workers tostay home

- - 287 179 148 - 174 112 63 85 50 25 13 53 25 89 51 42 82 99 57 14 2- - 14% 9% 7% - 9% 11% 6% 14% 10% 5% 3% 9% 7% 9% 8% 6% 12% 9% 7% 8% 3%

DEG I kLM LM qR

Staying 6 feet apart fromothers at all times

- - 141 168 122 - 160 89 71 70 49 29 12 59 20 73 40 58 62 91 57 10 1- - 7% 8% 6% - 8% 9% 7% 12% 10% 6% 3% 10% 6% 8% 6% 8% 9% 8% 7% 6% 2%

E e LM LM m o

Convening with groups nolarger than 10 people

- - 135 140 124 - 153 100 52 67 55 22 8 46 19 82 40 45 67 96 41 17 -- - 7% 7% 6% - 8% 10% 5% 11% 11% 4% 2% 7% 6% 8% 6% 6% 10% 8% 5% 9% -

I LM LM m qR U w

No dining in bars andrestaurants

- - 123 128 113 - 112 76 36 58 32 16 6 43 6 60 30 36 47 56 43 13 -- - 6% 6% 6% - 6% 8% 3% 10% 6% 3% 1% 7% 2% 6% 5% 5% 7% 5% 5% 7% -

I LM LM O O

No international travel



20 Apr 2020Table 4BHV15 Since the coronavirus outbreak are you consuming more or less of the following?

Summary Of More

Base: All Respondents (Variable Bases)




- - - - - 1365 1331 665 666 397 354 330 251 372 223 666 407 519 406 781 528 146 38- - - - - 68% 66% 67% 64% 66% 70% 66% 59% 61% 67% 69% 65% 71% 61% 68% 63% 81% 67%

m M m N qS u w

Home cooked meals

- - - - - 807 800 402 397 304 230 173 93 233 138 394 239 325 235 454 327 87 28- - - - - 40% 39% 41% 38% 51% 46% 34% 22% 38% 41% 41% 38% 44% 35% 40% 39% 48% 50%

LM LM M qS

Snack foods (chips, nuts,granola bars)

- - - - - 849 777 419 358 273 221 167 116 222 133 390 228 316 234 460 300 98 19- - - - - 42% 38% 42% 34% 46% 44% 33% 27% 36% 40% 40% 37% 43% 35% 40% 36% 54% 33%

G I LM LM QS W

Fresh food (vegetables,fruit)

- - - - - 703 633 364 269 255 195 111 72 199 94 324 192 256 185 375 243 67 17- - - - - 35% 31% 37% 26% 43% 39% 22% 17% 33% 28% 34% 31% 35% 28% 33% 29% 37% 29%

G I LM LM S

Ready to eat meals (e.g.,frozen pizzas)

- - - - - 702 628 331 297 224 188 122 94 168 98 341 215 241 172 389 225 84 13- - - - - 35% 31% 34% 28% 38% 37% 24% 22% 28% 30% 35% 34% 33% 26% 34% 27% 47% 23%

G I LM LM N S S U W

Coffee and tea

- - - - - 527 577 287 290 228 171 113 65 176 87 295 175 237 164 342 225 75 20- - - - - 26% 28% 29% 28% 38% 34% 23% 15% 29% 26% 31% 28% 32% 25% 30% 27% 42% 35%

LM LM M S

Candy and chocolate

- - - - - 490 485 292 193 204 156 68 56 145 82 244 151 189 146 304 173 57 14- - - - - 24% 24% 30% 19% 34% 31% 14% 13% 24% 25% 25% 24% 26% 22% 27% 21% 32% 24%

I LM LM U

Soft drinks

- - - - - 374 362 196 166 127 129 66 40 87 56 210 125 149 88 246 114 44 8- - - - - 20% 19% 21% 17% 28% 26% 13% 9% 16% 18% 23% 21% 22% 14% 22% 15% 26% 15%

i LM LM N S S U

Alcohol (beer, wine,spirits)

- - - - - 339 354 213 142 173 108 45 29 118 45 183 111 144 99 207 138 34 4- - - - - 17% 17% 22% 14% 29% 21% 9% 7% 19% 14% 19% 18% 20% 15% 18% 17% 19% 8%

I KLM LM O o s

Fast food




Summary Of Less





- - - - - 1005 942 455 487 251 232 253 206 287 162 445 285 352 306 551 377 96 30- - - - - 50% 46% 46% 47% 42% 46% 50% 48% 47% 49% 46% 46% 48% 46% 48% 45% 53% 52%

g J

Fast food

- - - - - 389 365 189 176 147 85 75 58 123 44 174 99 140 125 192 158 47 10- - - - - 19% 18% 19% 17% 25% 17% 15% 14% 20% 13% 18% 16% 19% 19% 17% 19% 26% 18%

KLM O o

Soft drinks

- - - - - 456 364 190 174 137 96 74 57 124 60 165 104 132 128 219 133 40 11- - - - - 23% 18% 19% 17% 23% 19% 15% 13% 20% 18% 17% 17% 18% 19% 19% 16% 22% 19%

G LM m

Candy and chocolate

- - - - - 343 323 159 164 113 89 76 45 97 50 164 100 112 112 206 109 41 10- - - - - 17% 16% 16% 16% 19% 18% 15% 11% 16% 15% 17% 16% 15% 17% 18% 13% 23% 17%

M M m U


- - - - - 309 294 186 107 81 92 68 52 76 52 158 94 104 96 189 97 41 7- - - - - 16% 16% 20% 11% 18% 18% 14% 12% 13% 17% 17% 16% 16% 15% 17% 13% 24% 13%

I m lM u


- - - - - 342 303 143 159 91 92 66 54 107 48 133 91 108 104 172 122 25 5- - - - - 17% 15% 15% 15% 15% 18% 13% 13% 18% 15% 14% 15% 15% 16% 15% 15% 14% 9%

lm p


- - - - - 300 274 148 126 103 76 44 52 98 37 129 94 90 90 155 113 21 4- - - - - 15% 14% 15% 12% 17% 15% 9% 12% 16% 11% 13% 15% 12% 13% 14% 14% 11% 7%

Lm L o


- - - - - 215 221 137 84 110 77 25 8 90 30 92 58 81 82 133 76 15 2- - - - - 11% 11% 14% 8% 18% 15% 5% 2% 15% 9% 9% 9% 11% 12% 12% 9% 8% 3%

I LM LM m OP

Coffee and tea

- - - - - 134 133 86 47 65 40 18 10 49 26 54 34 53 46 74 47 3 2- - - - - 7% 7% 9% 4% 11% 8% 4% 2% 8% 8% 6% 5% 7% 7% 6% 6% 2% 3%

I LM LM

Home cooked meals




Summary Of No Change





- - - - - 957 998 431 567 196 203 314 285 297 166 466 300 360 338 531 458 73 39- - - - - 48% 49% 44% 54% 33% 40% 63% 67% 49% 50% 48% 48% 49% 50% 46% 55% 40% 68%

H J JK JK T V

Coffee and tea

- - - - - 911 964 445 519 181 214 288 282 285 165 441 312 333 320 525 429 62 26- - - - - 45% 48% 45% 50% 30% 42% 57% 66% 47% 50% 46% 50% 45% 48% 46% 51% 34% 46%

h J JK JKL t

Candy and chocolate

- - - - - 800 913 405 509 214 179 267 253 269 146 426 295 303 315 495 403 57 33- - - - - 40% 45% 41% 49% 36% 35% 53% 60% 44% 44% 44% 47% 41% 47% 43% 48% 31% 58%

F H JK JK r r t V


- - - - - 840 901 399 502 180 210 297 213 268 170 399 301 304 296 499 393 63 27- - - - - 42% 44% 40% 48% 30% 42% 59% 50% 44% 51% 41% 48% 41% 44% 44% 47% 35% 48%

H J JKM JK nP R

Soft drinks

- - - - - 843 898 407 491 172 189 276 262 263 148 422 283 302 313 512 373 71 24- - - - - 42% 44% 41% 47% 29% 37% 55% 62% 43% 45% 44% 45% 41% 47% 45% 45% 40% 42%

H J JK JKl r


- - - - - 802 887 384 502 198 191 262 235 260 160 389 278 314 294 469 404 52 29- - - - - 40% 44% 39% 48% 33% 38% 52% 55% 43% 48% 40% 45% 43% 44% 41% 48% 29% 52%

F H JK JK P T V


- - - - - 634 642 302 340 135 161 199 146 179 104 321 196 251 195 364 272 50 23- - - - - 34% 34% 33% 35% 29% 32% 40% 34% 32% 33% 35% 33% 37% 31% 33% 37% 30% 44%

JK s


- - - - - 467 545 249 296 125 128 158 135 157 93 253 174 192 179 292 248 36 22- - - - - 23% 27% 25% 28% 21% 25% 31% 32% 26% 28% 26% 28% 26% 27% 26% 30% 20% 38%

F Jk Jk t V

Fast food

- - - - - 494 542 220 321 125 100 152 164 181 79 237 179 158 205 281 251 29 17- - - - - 25% 27% 22% 31% 21% 20% 30% 39% 30% 24% 25% 29% 21% 31% 25% 30% 16% 30%

H JK JKL op R R T v

Home cooked meals



20 Apr 2020Table 7BHV15_1 Since the coronavirus outbreak are you consuming more or less of the following?

Fresh food (vegetables, fruit)





- - - - - 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** -** -** -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - - - - 849 777 419 358 273 221 167 116 222 133 390 228 316 234 460 300 98 19- - - - - 42% 38% 42% 34% 46% 44% 33% 27% 36% 40% 40% 37% 43% 35% 40% 36% 54% 33%

G I LM LM QS W

More

- - - - - 342 303 143 159 91 92 66 54 107 48 133 91 108 104 172 122 25 5- - - - - 17% 15% 15% 15% 15% 18% 13% 13% 18% 15% 14% 15% 15% 16% 15% 15% 14% 9%

lm p

Less

- - - - - 800 913 405 509 214 179 267 253 269 146 426 295 303 315 495 403 57 33- - - - - 40% 45% 41% 49% 36% 35% 53% 60% 44% 44% 44% 47% 41% 47% 43% 48% 31% 58%

F H JK JK r r t V

No change

- - - - - 22 36 20 15 20 12 3 2 11 5 16 10 9 17 17 10 * -- - - - - 1% 2% 2% 1% 3% 2% * * 2% 1% 2% 2% 1% 2% 1% 1% * -

LM LM

I do not consume thisproduct

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Fast food






- - - - - 339 354 213 142 173 108 45 29 118 45 183 111 144 99 207 138 34 4- - - - - 17% 17% 22% 14% 29% 21% 9% 7% 19% 14% 19% 18% 20% 15% 18% 17% 19% 8%

I KLM LM O o s

More

- - - - - 1005 942 455 487 251 232 253 206 287 162 445 285 352 306 551 377 96 30- - - - - 50% 46% 46% 47% 42% 46% 50% 48% 47% 49% 46% 46% 48% 46% 48% 45% 53% 52%

g J

Less

- - - - - 467 545 249 296 125 128 158 135 157 93 253 174 192 179 292 248 36 22- - - - - 23% 27% 25% 28% 21% 25% 31% 32% 26% 28% 26% 28% 26% 27% 26% 30% 20% 38%

F Jk Jk t V

No change

- - - - - 203 187 70 117 49 37 47 55 48 32 84 54 48 86 95 72 14 1- - - - - 10% 9% 7% 11% 8% 7% 9% 13% 8% 10% 9% 9% 6% 13% 8% 9% 8% 2%

H jK QR


- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Alcohol (beer, wine, spirits)






- - - - - 374 362 196 166 127 129 66 40 87 56 210 125 149 88 246 114 44 8- - - - - 20% 19% 21% 17% 28% 26% 13% 9% 16% 18% 23% 21% 22% 14% 22% 15% 26% 15%

i LM LM N S S U

More

- - - - - 309 294 186 107 81 92 68 52 76 52 158 94 104 96 189 97 41 7- - - - - 16% 16% 20% 11% 18% 18% 14% 12% 13% 17% 17% 16% 16% 15% 17% 13% 24% 13%

I m lM u

Less

- - - - - 634 642 302 340 135 161 199 146 179 104 321 196 251 195 364 272 50 23- - - - - 34% 34% 33% 35% 29% 32% 40% 34% 32% 33% 35% 33% 37% 31% 33% 37% 30% 44%

JK s

No change

- - - - - 563 594 240 354 117 122 169 186 219 100 220 179 168 247 315 252 32 15- - - - - 30% 31% 26% 37% 25% 24% 34% 44% 39% 32% 24% 30% 25% 39% 28% 34% 19% 28%

H JK JKL oP P r QR T


- - - - - 1880 1892 924 968 461 504 502 424 561 312 908 595 671 626 1115 735 167 54- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Snack foods (chips, nuts, granola bars)






- - - - - 807 800 402 397 304 230 173 93 233 138 394 239 325 235 454 327 87 28- - - - - 40% 39% 41% 38% 51% 46% 34% 22% 38% 41% 41% 38% 44% 35% 40% 39% 48% 50%

LM LM M qS

More

- - - - - 300 274 148 126 103 76 44 52 98 37 129 94 90 90 155 113 21 4- - - - - 15% 14% 15% 12% 17% 15% 9% 12% 16% 11% 13% 15% 12% 13% 14% 14% 11% 7%

Lm L o

Less

- - - - - 843 898 407 491 172 189 276 262 263 148 422 283 302 313 512 373 71 24- - - - - 42% 44% 41% 47% 29% 37% 55% 62% 43% 45% 44% 45% 41% 47% 45% 45% 40% 42%

H J JK JKl r

No change

- - - - - 63 57 30 27 20 9 11 18 15 9 20 7 19 32 24 22 1 1- - - - - 3% 3% 3% 3% 3% 2% 2% 4% 2% 3% 2% 1% 3% 5% 2% 3% 1% 1%

k Qr


- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Ready to eat meals (e.g., frozen pizzas)






- - - - - 703 633 364 269 255 195 111 72 199 94 324 192 256 185 375 243 67 17- - - - - 35% 31% 37% 26% 43% 39% 22% 17% 33% 28% 34% 31% 35% 28% 33% 29% 37% 29%

G I LM LM S

More

- - - - - 343 323 159 164 113 89 76 45 97 50 164 100 112 112 206 109 41 10- - - - - 17% 16% 16% 16% 19% 18% 15% 11% 16% 15% 17% 16% 15% 17% 18% 13% 23% 17%

M M m U

Less

- - - - - 802 887 384 502 198 191 262 235 260 160 389 278 314 294 469 404 52 29- - - - - 40% 44% 39% 48% 33% 38% 52% 55% 43% 48% 40% 45% 43% 44% 41% 48% 29% 52%

F H JK JK P T V

No change

- - - - - 165 187 81 106 31 30 53 72 53 27 89 54 54 79 95 80 21 1- - - - - 8% 9% 8% 10% 5% 6% 11% 17% 9% 8% 9% 9% 7% 12% 8% 10% 12% 2%

JK JKL R w


- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Home cooked meals






- - - - - 1365 1331 665 666 397 354 330 251 372 223 666 407 519 406 781 528 146 38- - - - - 68% 66% 67% 64% 66% 70% 66% 59% 61% 67% 69% 65% 71% 61% 68% 63% 81% 67%

m M m N qS u w

More

- - - - - 134 133 86 47 65 40 18 10 49 26 54 34 53 46 74 47 3 2- - - - - 7% 7% 9% 4% 11% 8% 4% 2% 8% 8% 6% 5% 7% 7% 6% 6% 2% 3%

I LM LM

Less

- - - - - 494 542 220 321 125 100 152 164 181 79 237 179 158 205 281 251 29 17- - - - - 25% 27% 22% 31% 21% 20% 30% 39% 30% 24% 25% 29% 21% 31% 25% 30% 16% 30%

H JK JKL op R R T v

No change

- - - - - 20 23 15 8 10 10 2 * 8 4 8 4 6 14 9 9 2 -- - - - - 1% 1% 2% 1% 2% 2% * * 1% 1% 1% 1% 1% 2% 1% 1% 1% -

M lM qr


- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Coffee and tea






- - - - - 702 628 331 297 224 188 122 94 168 98 341 215 241 172 389 225 84 13- - - - - 35% 31% 34% 28% 38% 37% 24% 22% 28% 30% 35% 34% 33% 26% 34% 27% 47% 23%

G I LM LM N S S U W

More

- - - - - 215 221 137 84 110 77 25 8 90 30 92 58 81 82 133 76 15 2- - - - - 11% 11% 14% 8% 18% 15% 5% 2% 15% 9% 9% 9% 11% 12% 12% 9% 8% 3%

I LM LM m OP

Less

- - - - - 957 998 431 567 196 203 314 285 297 166 466 300 360 338 531 458 73 39- - - - - 48% 49% 44% 54% 33% 40% 63% 67% 49% 50% 48% 48% 49% 50% 46% 55% 40% 68%

H J JK JK T V

No change

- - - - - 139 182 89 94 67 36 42 37 54 38 67 51 54 78 92 77 8 3- - - - - 7% 9% 9% 9% 11% 7% 8% 9% 9% 11% 7% 8% 7% 12% 8% 9% 5% 6%

F k P qR


- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Soft drinks






- - - - - 490 485 292 193 204 156 68 56 145 82 244 151 189 146 304 173 57 14- - - - - 24% 24% 30% 19% 34% 31% 14% 13% 24% 25% 25% 24% 26% 22% 27% 21% 32% 24%

I LM LM U

More

- - - - - 389 365 189 176 147 85 75 58 123 44 174 99 140 125 192 158 47 10- - - - - 19% 18% 19% 17% 25% 17% 15% 14% 20% 13% 18% 16% 19% 19% 17% 19% 26% 18%

KLM O o

Less

- - - - - 840 901 399 502 180 210 297 213 268 170 399 301 304 296 499 393 63 27- - - - - 42% 44% 40% 48% 30% 42% 59% 50% 44% 51% 41% 48% 41% 44% 44% 47% 35% 48%

H J JKM JK nP R

No change

- - - - - 294 278 107 171 67 53 62 96 73 35 147 73 102 103 150 111 14 6- - - - - 15% 14% 11% 16% 11% 11% 12% 23% 12% 11% 15% 12% 14% 15% 13% 13% 8% 10%

H JKL o


- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Candy and chocolate






- - - - - 527 577 287 290 228 171 113 65 176 87 295 175 237 164 342 225 75 20- - - - - 26% 28% 29% 28% 38% 34% 23% 15% 29% 26% 31% 28% 32% 25% 30% 27% 42% 35%

LM LM M S

More

- - - - - 456 364 190 174 137 96 74 57 124 60 165 104 132 128 219 133 40 11- - - - - 23% 18% 19% 17% 23% 19% 15% 13% 20% 18% 17% 17% 18% 19% 19% 16% 22% 19%

G LM m

Less

- - - - - 911 964 445 519 181 214 288 282 285 165 441 312 333 320 525 429 62 26- - - - - 45% 48% 45% 50% 30% 42% 57% 66% 47% 50% 46% 50% 45% 48% 46% 51% 34% 46%

h J JK JKL t

No change

- - - - - 119 124 65 59 52 23 28 21 25 20 64 32 33 58 58 49 4 -- - - - - 6% 6% 7% 6% 9% 4% 6% 5% 4% 6% 7% 5% 5% 9% 5% 6% 2% -

Klm n QR


- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 16BHV07 Based on what you know and have heard, when do you think Americans should start returning to work and life as normal?






- - - - - 180 260 134 126 81 67 77 35 99 26 116 94 58 108 154 97 19 7- - - - - 9% 13% 14% 12% 14% 13% 15% 8% 16% 8% 12% 15% 8% 16% 13% 12% 11% 12%

F M m M OP o R R

1-2 weeks from now

- - - - - 459 532 273 259 159 126 118 128 172 91 251 220 147 165 309 211 41 18- - - - - 23% 26% 28% 25% 27% 25% 24% 30% 28% 28% 26% 35% 20% 25% 27% 25% 23% 32%

F l RS r

3-4 weeks from now

- - - - - 1018 874 409 465 254 212 213 196 221 149 442 238 370 266 482 374 78 25- - - - - 51% 43% 41% 45% 42% 42% 42% 46% 36% 45% 46% 38% 50% 40% 42% 45% 43% 43%

G N N QS

More than a month fromnow

- - - - - 357 363 172 192 103 100 94 66 118 66 156 71 162 131 199 152 42 7- - - - - 18% 18% 17% 18% 17% 20% 19% 16% 19% 20% 16% 11% 22% 20% 17% 18% 23% 13%

Q Q

More than six months fromnow

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 17BHV16 Which of the following will make you feel safe to fly in a plane again post COVID-19? Please select all that apply.





- - - - - - 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** -** -** -** -** 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - - - - - 1113 533 580 305 287 267 255 276 187 593 354 408 352 637 459 106 34- - - - - - 55% 54% 56% 51% 57% 53% 60% 45% 56% 61% 57% 55% 53% 56% 55% 59% 60%

Jl N N

Cleaning servicesguarantee hygienic wipedown of seats

- - - - - - 1094 535 559 328 283 246 238 283 188 573 338 412 344 599 478 121 29- - - - - - 54% 54% 54% 55% 56% 49% 56% 46% 57% 59% 54% 56% 51% 52% 57% 67% 52%

l l N N t w

Hand sanitizer packetshanded out with snacks

- - - - - - 927 465 462 293 245 197 192 226 159 507 270 374 283 523 387 101 30- - - - - - 46% 47% 44% 49% 49% 39% 45% 37% 48% 53% 43% 51% 42% 46% 46% 56% 53%

L L N N QS

Mandatory masks on theplane for passengers andcrew

- - - - - - 906 445 461 235 230 214 228 232 153 475 283 343 280 519 381 91 29- - - - - - 45% 45% 44% 39% 46% 43% 54% 38% 46% 49% 45% 47% 42% 45% 46% 50% 51%

j JkL N N

Required temperature testsfor passengers and crew

- - - - - - 903 440 463 264 225 206 208 211 162 484 270 352 281 520 370 93 30- - - - - - 45% 45% 44% 44% 45% 41% 49% 35% 49% 50% 43% 48% 42% 45% 44% 52% 53%

L N N s

Planes configured forsocial distancing (e.g.,removing the middle seat)

- - - - - - 844 418 426 228 221 211 183 202 145 452 241 315 288 471 364 84 27- - - - - - 42% 42% 41% 38% 44% 42% 43% 33% 44% 47% 39% 43% 43% 41% 44% 46% 47%

N N

Guarantee of circulatingair

- - - - - - 629 291 337 205 178 124 122 171 101 325 167 250 212 364 256 65 8- - - - - - 31% 30% 32% 34% 35% 25% 29% 28% 30% 34% 27% 34% 32% 32% 31% 36% 15%

L Lm n Q W

Contact-less menus /disposable silverware

- - - - - - 263 147 116 108 72 48 36 73 43 133 100 75 88 164 93 40 4- - - - - - 13% 15% 11% 18% 14% 9% 8% 12% 13% 14% 16% 10% 13% 14% 11% 22% 7%

I LM LM R u W

No-beard policy for flightattendees (i.e., flightattendees are not allowedto have a beard on a plane)

- - - - - - 211 113 98 86 63 37 25 58 26 116 79 67 65 140 68 23 5- - - - - - 10% 11% 9% 14% 12% 7% 6% 9% 8% 12% 13% 9% 10% 12% 8% 13% 9%

LM LM o r U

No-beard policy forpassengers (i.e., passengersare not allowed to have abeard on a plane)

- - - - - - 89 45 44 26 20 24 18 24 17 39 25 22 41 50 35 6 4- - - - - - 4% 5% 4% 4% 4% 5% 4% 4% 5% 4% 4% 3% 6% 4% 4% 3% 6%

R

Other

- - - - - - 310 128 181 56 48 104 101 101 49 122 95 115 99 155 143 18 5- - - - - - 15% 13% 17% 9% 9% 21% 24% 17% 15% 13% 15% 16% 15% 14% 17% 10% 8%

H JK JK p t

N/A - there is nothing thatwill make me feel safe tofly in a plane again postCOVID-19

- - - - - - 200 54 147 68 43 60 30 110 35 39 52 65 84 98 87 12 6- - - - - - 10% 5% 14% 11% 8% 12% 7% 18% 11% 4% 8% 9% 12% 9% 10% 6% 11%

H m M OP P Qr

N/A - I do have neverflown in a plane

- - - - - - 7490 3614 3876 2203 1914 1738 1635 1967 1266 3857 2274 2798 2417 4241 3122 759 212- - - - - - 369% 366% 372% 368% 380% 346% 385% 323% 381% 400% 365% 380% 361% 371% 374% 421% 373%

Sigma



20 Apr 2020Table 18BHV17 Which of the following will make you feel safe to return to work again post COVID-19? Please select all that apply.

Base: Employed




- - - - - - 1149 646 503 397 383 299 70 309 197 600 400 404 345 697 432 126 19Unweighted Base-** -** -** -** -** -** 1138 642 495 387 377 303 72* 275 174 648 363 417 357 697 414 132* 25**Weighted Base

- - - - - - 699 372 326 224 229 202 43 151 104 422 227 270 202 428 256 77 15- - - - - - 61% 58% 66% 58% 61% 67% 60% 55% 60% 65% 62% 65% 57% 61% 62% 58% 58%

H j N s

A policy that requiresemployees to stay home ifthey feel sick

- - - - - - 675 375 300 223 224 186 42 144 95 412 224 251 200 393 271 81 13- - - - - - 59% 58% 61% 58% 59% 62% 59% 52% 55% 64% 62% 60% 56% 56% 65% 62% 51%

No T


- - - - - - 648 356 293 215 212 179 43 134 98 393 216 247 185 393 249 77 17- - - - - - 57% 55% 59% 56% 56% 59% 60% 49% 57% 61% 60% 59% 52% 56% 60% 58% 69%

N s

A bottle of hand sanitizerat every desk

- - - - - - 543 306 237 181 181 146 36 115 82 331 173 210 160 330 204 69 13- - - - - - 48% 48% 48% 47% 48% 48% 50% 42% 47% 51% 48% 50% 45% 47% 49% 52% 51%

N

Meetings no bigger than 10people

- - - - - - 538 290 248 178 189 141 30 107 77 335 166 222 151 344 187 68 14- - - - - - 47% 45% 50% 46% 50% 46% 42% 39% 44% 52% 46% 53% 42% 49% 45% 52% 53%

N qS

Desks spaced 6-feet apart

- - - - - - 535 296 239 170 174 149 42 102 79 337 182 209 144 340 191 73 15- - - - - - 47% 46% 48% 44% 46% 49% 58% 37% 46% 52% 50% 50% 40% 49% 46% 56% 58%

j N S S

Required temperature testsfor employees / visitors

- - - - - - 169 95 74 78 54 32 5 39 27 100 63 64 42 103 59 22 4- - - - - - 15% 15% 15% 20% 14% 11% 7% 14% 15% 15% 17% 15% 12% 15% 14% 17% 16%

kLM s

No-beard policy (i.e.,employees are not allowedto have a beard at work)for employees

- - - - - - 90 57 34 19 30 30 11 22 21 42 21 15 54 56 33 6 2- - - - - - 8% 9% 7% 5% 8% 10% 16% 8% 12% 6% 6% 4% 15% 8% 8% 4% 10%

J Jk P QR

Other

- - - - - - 105 42 62 40 28 27 10 49 14 36 29 35 41 47 52 13 3- - - - - - 9% 7% 13% 10% 8% 9% 14% 18% 8% 6% 8% 8% 11% 7% 13% 10% 10%

H OP T

N/A - there is nothing thatwill make me feel safe toreturn to work again postCOVID-19

- - - - - - 4002 2189 1813 1328 1321 1091 262 862 597 2409 1299 1522 1181 2434 1501 486 95- - - - - - 352% 341% 366% 343% 351% 361% 366% 314% 344% 372% 358% 365% 330% 349% 363% 369% 375%

Sigma



20 Apr 2020Table 19BHV18 Which of the following will make you feel safe to attend a sporting event or large venue again post COVID-19? Please select all that apply.






- - - - - - 882 444 439 272 233 210 169 221 151 467 266 328 289 519 351 83 27- - - - - - 43% 45% 42% 45% 46% 42% 40% 36% 46% 48% 43% 45% 43% 45% 42% 46% 47%

N N


- - - - - - 808 413 395 269 211 186 141 215 140 413 245 303 260 460 335 85 23- - - - - - 40% 42% 38% 45% 42% 37% 33% 35% 42% 43% 39% 41% 39% 40% 40% 47% 40%

LM M n N

Hand sanitizer packetshanded out a ticket counter/ at every seating section

- - - - - - 785 401 384 252 225 175 132 204 129 414 225 298 262 467 307 79 22- - - - - - 39% 41% 37% 42% 45% 35% 31% 33% 39% 43% 36% 40% 39% 41% 37% 44% 39%

LM LM N

Mandatory masks for foodvendors

- - - - - - 718 374 344 219 205 166 128 181 117 387 219 278 220 436 272 74 24- - - - - - 35% 38% 33% 37% 41% 33% 30% 30% 35% 40% 35% 38% 33% 38% 33% 41% 43%

i m LM N U

Stadiums seatingconfigured for socialdistancing (e.g., leavingevery other seat open)

- - - - - - 701 368 333 226 188 164 123 188 109 372 208 267 226 426 269 77 21- - - - - - 35% 37% 32% 38% 37% 33% 29% 31% 33% 39% 33% 36% 34% 37% 32% 43% 37%

I M M N u

Maximum capacity limitsto ensure 6-feet distancebetween patrons and staff

- - - - - - 658 359 299 210 195 135 117 160 106 363 206 262 190 393 258 80 17- - - - - - 32% 36% 29% 35% 39% 27% 28% 26% 32% 38% 33% 36% 28% 34% 31% 44% 30%

I LM LM N S

Required temperature testsfor attendees and crew

- - - - - - 627 340 286 219 166 127 115 159 104 339 181 244 202 372 244 70 20- - - - - - 31% 34% 27% 37% 33% 25% 27% 26% 31% 35% 29% 33% 30% 33% 29% 39% 36%

I LM L N

Mandatory masks forpatrons

- - - - - - 108 71 37 26 30 27 25 28 22 42 34 23 51 62 42 7 4- - - - - - 5% 7% 4% 4% 6% 5% 6% 5% 7% 4% 5% 3% 8% 5% 5% 4% 6%

I r R

Other

- - - - - - 420 181 239 77 75 118 149 118 75 195 140 171 109 220 185 27 12- - - - - - 21% 18% 23% 13% 15% 24% 35% 19% 23% 20% 22% 23% 16% 19% 22% 15% 21%

H JK JKL S S

N/A - there is nothing thatwill make me feel safe toattend a sporting event orlarge venue again postCOVID-19

- - - - - - 298 86 212 81 55 91 72 142 46 82 84 84 130 137 147 18 8- - - - - - 15% 9% 20% 14% 11% 18% 17% 23% 14% 8% 13% 11% 19% 12% 18% 10% 15%

H jK K OP P QR T

N/A - I have neverattended a sporting eventor large venue

- - - - - - 6004 3036 2968 1851 1583 1400 1170 1616 998 3075 1806 2257 1940 3492 2410 600 178- - - - - - 296% 308% 285% 310% 314% 279% 276% 265% 301% 319% 290% 307% 290% 305% 289% 333% 312%

Sigma



20 Apr 2020Table 20BHV19 Which of the following will make you feel safe to go out to eat at a restaurant again post COVID-19? Please select all that apply.






- - - - - - 1252 617 635 321 308 326 297 325 213 641 372 482 398 739 498 125 40- - - - - - 62% 62% 61% 54% 61% 65% 70% 53% 64% 66% 60% 66% 59% 65% 60% 69% 70%

J J JK N N qs u

Restaurants configured forsocial distancing (e.g.,tables spaced 6-feetapart)

- - - - - - 1137 576 561 300 288 283 266 308 195 569 338 440 359 675 447 116 38- - - - - - 56% 58% 54% 50% 57% 56% 63% 51% 59% 59% 54% 60% 54% 59% 54% 64% 68%

i j j J N N qs U

Maximum capacity limitsto ensure 6-feet distancebetween patrons and staff

- - - - - - 907 459 448 263 230 208 207 234 145 487 288 344 275 521 375 87 25- - - - - - 45% 46% 43% 44% 46% 41% 49% 38% 44% 50% 46% 47% 41% 46% 45% 48% 44%

l No s

Required temperature testsfor customers and waitstaff

- - - - - - 443 235 207 145 123 93 82 121 61 235 145 160 138 278 156 53 7- - - - - - 22% 24% 20% 24% 24% 18% 19% 20% 18% 24% 23% 22% 21% 24% 19% 29% 12%

i L l no U W

No-beard policy forrestaurant staff (waitersand kitchen staff) (i.e.,restaurant staff are notallowed to have a beard atthe restaurant)

- - - - - - 290 160 129 127 72 51 40 86 42 144 98 101 91 182 104 34 6- - - - - - 14% 16% 12% 21% 14% 10% 9% 14% 13% 15% 16% 14% 14% 16% 12% 19% 10%

I KLM lm u

No-beard policy forpatrons (i.e., patrons arenot allowed to have abeard at the restaurant)

- - - - - - 214 112 102 50 47 59 58 52 42 93 59 62 93 127 84 16 4- - - - - - 11% 11% 10% 8% 9% 12% 14% 9% 13% 10% 9% 8% 14% 11% 10% 9% 7%

Jk n QR

Other

- - - - - - 283 111 171 87 60 77 58 102 49 112 85 99 98 142 129 19 8- - - - - - 14% 11% 16% 15% 12% 15% 14% 17% 15% 12% 14% 13% 15% 12% 15% 11% 13%

H P

N/A - there is nothing thatwill make me feel safe togo out to eat at a restaurantagain post COVID-19

- - - - - - 64 22 42 30 15 9 10 29 7 20 16 17 31 28 25 1 1- - - - - - 3% 2% 4% 5% 3% 2% 2% 5% 2% 2% 3% 2% 5% 2% 3% 1% 2%

h Lm oP qr

N/A - I have never goneout to eat at a restaurant

- - - - - - 4589 2292 2297 1324 1142 1105 1017 1258 756 2300 1401 1705 1483 2692 1817 452 129- - - - - - 226% 232% 220% 221% 227% 220% 240% 206% 228% 238% 225% 232% 221% 235% 218% 250% 227%

Sigma



20 Apr 2020Table 21BHV20 When do you think you will take your next vacation?






- - - - - - 63 39 24 25 22 9 7 20 3 38 19 18 25 42 21 4 *- - - - - - 3% 4% 2% 4% 4% 2% 2% 3% 1% 4% 3% 3% 4% 4% 3% 2% 1%

i lm Lm o O

A month from now

- - - - - - 193 117 76 64 59 46 23 53 32 97 71 61 61 108 82 27 5- - - - - - 10% 12% 7% 11% 12% 9% 5% 9% 10% 10% 11% 8% 9% 9% 10% 15% 9%

I M M m

2-3 months from now

- - - - - - 252 147 105 87 65 57 43 62 39 143 111 75 67 139 108 24 6- - - - - - 12% 15% 10% 15% 13% 11% 10% 10% 12% 15% 18% 10% 10% 12% 13% 13% 10%

I N RS

4-5 months from now

- - - - - - 241 146 95 72 73 59 37 59 36 137 72 86 83 154 86 30 14- - - - - - 12% 15% 9% 12% 14% 12% 9% 10% 11% 14% 11% 12% 12% 13% 10% 16% 25%

I M N u

6-7 months from now

- - - - - - 137 79 57 52 37 23 25 30 30 75 45 54 38 88 48 7 4- - - - - - 7% 8% 6% 9% 7% 5% 6% 5% 9% 8% 7% 7% 6% 8% 6% 4% 7%

i L N n

8-9 months from now

- - - - - - 90 47 44 30 27 17 16 21 5 58 19 37 34 64 23 11 4- - - - - - 4% 5% 4% 5% 5% 3% 4% 3% 1% 6% 3% 5% 5% 6% 3% 6% 8%

nO U

10-11 months from now

- - - - - - 295 121 174 81 77 67 70 72 58 153 79 121 94 169 125 27 6- - - - - - 15% 12% 17% 14% 15% 13% 17% 12% 17% 16% 13% 17% 14% 15% 15% 15% 10%

H N n

A year from now

- - - - - - 232 110 122 60 45 79 49 89 33 101 53 107 71 120 105 8 10- - - - - - 11% 11% 12% 10% 9% 16% 11% 15% 10% 10% 9% 15% 11% 11% 13% 4% 17%

JK oP Qs V

More than a year from now

- - - - - - 526 182 344 127 100 146 153 202 95 162 154 175 197 261 238 42 8- - - - - - 26% 18% 33% 21% 20% 29% 36% 33% 29% 17% 25% 24% 29% 23% 28% 23% 13%

H JK JKl P P r T

Not at all sure

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 22BHV21 Which of the following do you think sports leagues should do?






- - - - - - 683 299 384 184 160 179 160 199 129 312 182 270 230 381 291 59 29- - - - - - 34% 30% 37% 31% 32% 36% 38% 33% 39% 32% 29% 37% 34% 33% 35% 32% 52%

H j np Q V

Cancel this season andwait until the start of thenext season

- - - - - - 436 228 207 145 105 109 77 101 77 226 124 171 141 251 177 37 9- - - - - - 21% 23% 20% 24% 21% 22% 18% 17% 23% 23% 20% 23% 21% 22% 21% 20% 16%

m N N

Play their seasons withoutfans

- - - - - - 405 210 195 100 106 101 97 108 58 223 173 115 117 247 151 40 13- - - - - - 20% 21% 19% 17% 21% 20% 23% 18% 18% 23% 28% 16% 17% 22% 18% 22% 23%

j No RS

Restart the current seasonnow and phase in fans later

- - - - - - 295 175 120 82 86 72 55 106 38 138 95 123 76 170 121 30 3- - - - - - 15% 18% 12% 14% 17% 14% 13% 17% 11% 14% 15% 17% 11% 15% 14% 16% 5%

I O s S w

Restart the current seasononly when fans can attend

- - - - - - 211 76 136 87 48 41 36 95 29 65 49 56 106 96 96 15 2- - - - - - 10% 8% 13% 15% 9% 8% 8% 16% 9% 7% 8% 8% 16% 8% 11% 8% 4%

H KLM OP QR t

None of these

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 23BHV22 Which of the following public activities will you do first once the social distancing restrictions end?






- - - - - - 731 307 424 204 152 191 184 211 120 349 231 278 222 427 290 79 31- - - - - - 36% 31% 41% 34% 30% 38% 43% 35% 36% 36% 37% 38% 33% 37% 35% 44% 54%

H K JK

Visit loved ones

- - - - - - 393 191 202 74 102 105 112 94 77 199 108 151 134 231 160 43 10- - - - - - 19% 19% 19% 12% 20% 21% 26% 15% 23% 21% 17% 21% 20% 20% 19% 24% 17%

J J Jk N N

Go to the hairdresser /barber

- - - - - - 387 210 177 126 99 96 66 123 53 186 121 143 123 209 177 24 13- - - - - - 19% 21% 17% 21% 20% 19% 15% 20% 16% 19% 19% 19% 18% 18% 21% 13% 22%

I m

Go to a restaurant

- - - - - - 152 98 54 62 46 34 10 35 21 88 51 55 46 87 56 16 2- - - - - - 8% 10% 5% 10% 9% 7% 2% 6% 6% 9% 8% 7% 7% 8% 7% 9% 4%

I lM M M N

Go to the gym

- - - - - - 101 65 36 43 38 14 6 32 12 55 40 25 36 55 45 10 -- - - - - - 5% 7% 3% 7% 7% 3% 1% 5% 4% 6% 6% 3% 5% 5% 5% 6% -

I LM LM R

Go hiking with friends

- - - - - - 70 27 42 25 22 12 11 20 16 33 17 34 19 45 24 3 -- - - - - - 3% 3% 4% 4% 4% 2% 3% 3% 5% 3% 3% 5% 3% 4% 3% 2% -

Go to the nail salon

- - - - - - 195 88 106 63 46 50 36 93 33 56 56 49 90 91 83 5 2- - - - - - 10% 9% 10% 11% 9% 10% 8% 15% 10% 6% 9% 7% 13% 8% 10% 3% 4%

OP P QR

None of these

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 24BHV23 When the economy returns to normal what are you most likely to do?






- - - - - - 449 214 235 90 90 141 128 98 73 239 154 153 142 255 188 40 14- - - - - - 22% 22% 23% 15% 18% 28% 30% 16% 22% 25% 25% 21% 21% 22% 23% 22% 25%

JK JK N N

Visit local business(es) inmy area

- - - - - - 313 170 143 88 80 72 73 58 48 193 113 108 93 191 121 24 17- - - - - - 15% 17% 14% 15% 16% 14% 17% 9% 15% 20% 18% 15% 14% 17% 14% 14% 30%

i N No s V

Reschedule my vacation(s)

- - - - - - 251 100 151 44 40 76 91 73 45 116 81 91 80 154 92 13 6- - - - - - 12% 10% 14% 7% 8% 15% 21% 12% 14% 12% 13% 12% 12% 13% 11% 7% 10%

H JK JKl

Book a dentistappointment

- - - - - - 191 117 73 85 67 28 11 61 33 92 45 91 55 110 79 27 2- - - - - - 9% 12% 7% 14% 13% 6% 3% 10% 10% 10% 7% 12% 8% 10% 9% 15% 3%

I LM LM m QS w

Start budgeting

- - - - - - 185 93 91 46 66 50 23 71 36 75 51 61 72 123 55 16 2- - - - - - 9% 9% 9% 8% 13% 10% 5% 12% 11% 8% 8% 8% 11% 11% 7% 9% 4%

JM M P U

Figure out how to get outdebt

- - - - - - 182 90 92 106 49 19 8 78 20 76 44 72 66 86 90 22 6- - - - - - 9% 9% 9% 18% 10% 4% 2% 13% 6% 8% 7% 10% 10% 7% 11% 12% 11%

KLM LM OP T

Apply for job(s) in mytown

- - - - - - 75 55 20 18 40 13 3 12 14 49 19 31 24 53 22 13 -- - - - - - 4% 6% 2% 3% 8% 3% 1% 2% 4% 5% 3% 4% 4% 5% 3% 7% -

I M JLM m n N u w

Refinance my home

- - - - - - 29 24 6 15 13 * * 16 1 11 8 16 5 20 10 5 -- - - - - - 1% 2% 1% 3% 3% * * 3% * 1% 1% 2% 1% 2% 1% 3% -

I LM LM Op s

Refinance my car

- - - - - - 354 123 231 105 60 103 87 142 61 114 109 111 134 154 178 20 10- - - - - - 17% 13% 22% 18% 12% 20% 20% 23% 18% 12% 18% 15% 20% 13% 21% 11% 18%

H K K K P P r T

None of these

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 25BHV24 How likely are you to do each of the following once the pandemic ends?

Summary Of Very/Somewhat Likely






- - - - - - 1598 760 839 475 416 403 303 472 266 760 475 610 513 902 662 156 49- - - - - - 79% 77% 81% 80% 83% 80% 71% 78% 80% 79% 76% 83% 77% 79% 79% 87% 87%

M M M QS

Save more and spendless

- - - - - - 1386 673 713 378 342 366 300 399 231 677 413 538 434 799 560 136 45- - - - - - 68% 68% 68% 63% 68% 73% 71% 65% 70% 70% 66% 73% 65% 70% 67% 75% 79%

J j QS

Avoid non-essential travel

- - - - - - 1201 615 586 363 315 297 226 305 204 623 376 461 365 709 467 114 38- - - - - - 59% 62% 56% 61% 62% 59% 53% 50% 61% 65% 60% 63% 54% 62% 56% 63% 66%

I m M N N s S U

Use my car to travel longdistance instead of airtravel

- - - - - - 865 436 429 319 258 178 111 257 133 432 252 351 262 518 326 102 18- - - - - - 43% 44% 41% 53% 51% 35% 26% 42% 40% 45% 40% 48% 39% 45% 39% 56% 32%

LM LM M QS U W

Order groceries online fordelivery

- - - - - - 358 206 152 134 137 59 28 97 41 216 125 137 96 358 - 52 13- - - - - - 31% 38% 25% 54% 38% 20% 12% 33% 23% 34% 35% 33% 26% 31% - 46% 30%

I KLM LM M O O S s

Continue home-schoolingmy child(ren)

- - - - - - 588 342 246 238 190 97 62 184 81 289 175 214 199 365 198 74 20- - - - - - 29% 35% 24% 40% 38% 19% 15% 30% 24% 30% 28% 29% 30% 32% 24% 41% 36%

I LM LM o U

Move out of denselypopulated areas and towardrural areas__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


20 Apr 2020Table 26BHV24 How likely are you to do each of the following once the pandemic ends?

Summary Of Not Very/Not At All Likely






- - - - - - 1441 645 796 359 314 405 362 425 251 676 449 522 471 779 637 106 37- - - - - - 71% 65% 76% 60% 62% 81% 85% 70% 76% 70% 72% 71% 70% 68% 76% 59% 64%

H JK JK n T

Move out of denselypopulated areas andtoward rural areas

- - - - - - 787 335 452 113 219 241 214 194 136 414 237 275 275 787 - 62 29- - - - - - 69% 62% 75% 46% 62% 80% 88% 67% 77% 66% 65% 67% 74% 69% - 54% 70%

H J JK JKL NP Qr

Continue home-schoolingmy child(ren)

- - - - - - 1164 551 613 279 247 325 313 352 198 533 371 385 408 626 509 79 39- - - - - - 57% 56% 59% 47% 49% 65% 74% 58% 60% 55% 60% 52% 61% 55% 61% 44% 68%

JK JKL R R T V

Order groceries online fordelivery

- - - - - - 643 314 329 219 162 137 125 210 101 288 210 197 236 345 276 44 12- - - - - - 32% 32% 32% 37% 32% 27% 29% 35% 30% 30% 34% 27% 35% 30% 33% 25% 21%

Lm R R


- - - - - - 579 279 300 165 135 141 138 184 88 273 197 177 205 325 242 39 17- - - - - - 29% 28% 29% 28% 27% 28% 33% 30% 27% 28% 32% 24% 31% 28% 29% 22% 29%

R R

Use my car to travel longdistance instead of airtravel

- - - - - - 431 228 203 122 88 99 121 137 66 205 148 125 157 242 174 24 8- - - - - - 21% 23% 19% 20% 17% 20% 29% 22% 20% 21% 24% 17% 23% 21% 21% 13% 13%

JKL R R

Save more and spend less



20 Apr 2020Table 27BHV24_1 How likely are you to do each of the following once the pandemic ends?

Order groceries online for delivery






- - - - - - 865 436 429 319 258 178 111 257 133 432 252 351 262 518 326 102 18- - - - - - 43% 44% 41% 53% 51% 35% 26% 42% 40% 45% 40% 48% 39% 45% 39% 56% 32%

LM LM M QS U W

Very/Somewhat Likely(Net)

- - - - - - 392 199 193 140 129 82 41 116 50 206 116 166 110 246 137 50 5- - - - - - 19% 20% 19% 23% 26% 16% 10% 19% 15% 21% 19% 23% 16% 21% 16% 28% 8%

LM LM M O S U W

Very likely

- - - - - - 473 237 236 179 129 96 70 141 83 227 136 185 153 273 189 51 13- - - - - - 23% 24% 23% 30% 25% 19% 16% 23% 25% 24% 22% 25% 23% 24% 23% 28% 24%

LM LM

Somewhat likely

- - - - - - 1164 551 613 279 247 325 313 352 198 533 371 385 408 626 509 79 39- - - - - - 57% 56% 59% 47% 49% 65% 74% 58% 60% 55% 60% 52% 61% 55% 61% 44% 68%

JK JKL R R T V

Not Very/Not At AllLikely (Net)

- - - - - - 542 288 254 160 131 137 114 144 90 278 163 183 196 298 235 39 14- - - - - - 27% 29% 24% 27% 26% 27% 27% 24% 27% 29% 26% 25% 29% 26% 28% 22% 25%

I n

Not very likely

- - - - - - 622 263 359 118 116 188 199 209 108 254 208 202 212 328 274 40 25- - - - - - 31% 27% 34% 20% 23% 37% 47% 34% 33% 26% 33% 27% 32% 29% 33% 22% 43%

H JK JKL P p R V

Not at all likely

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Move out of densely populated areas and toward rural areas






- - - - - - 588 342 246 238 190 97 62 184 81 289 175 214 199 365 198 74 20- - - - - - 29% 35% 24% 40% 38% 19% 15% 30% 24% 30% 28% 29% 30% 32% 24% 41% 36%

I LM LM o U


- - - - - - 267 149 118 101 96 41 29 85 39 132 73 100 94 178 72 33 2- - - - - - 13% 15% 11% 17% 19% 8% 7% 14% 12% 14% 12% 14% 14% 16% 9% 18% 4%

I LM LM U W

Very likely

- - - - - - 321 193 128 137 94 56 34 99 42 157 102 114 105 187 126 42 18- - - - - - 16% 20% 12% 23% 19% 11% 8% 16% 13% 16% 16% 15% 16% 16% 15% 23% 32%

I LM LM

Somewhat likely

- - - - - - 1441 645 796 359 314 405 362 425 251 676 449 522 471 779 637 106 37- - - - - - 71% 65% 76% 60% 62% 81% 85% 70% 76% 70% 72% 71% 70% 68% 76% 59% 64%

H JK JK n T


- - - - - - 486 264 221 170 107 123 87 157 74 229 143 167 176 249 229 39 9- - - - - - 24% 27% 21% 28% 21% 24% 20% 26% 22% 24% 23% 23% 26% 22% 27% 22% 15%

I KM T

Not very likely

- - - - - - 955 380 575 190 207 283 275 268 177 447 306 354 295 531 409 67 28- - - - - - 47% 39% 55% 32% 41% 56% 65% 44% 53% 46% 49% 48% 44% 46% 49% 37% 49%

H J JK JKL Np

Not at all likely

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Continue home-schooling my child(ren)





- - - - - - 1131 533 598 246 359 301 225 324 198 564 407 383 341 1131 - 107 34Unweighted Base-** -** -** -** -** -** 1144 540 604 247 355 300 242 291 177 630 362 412 370 1144 -** 114* 42**Weighted Base

- - - - - - 358 206 152 134 137 59 28 97 41 216 125 137 96 358 - 52 13- - - - - - 31% 38% 25% 54% 38% 20% 12% 33% 23% 34% 35% 33% 26% 31% - 46% 30%

I KLM LM M O O S s


- - - - - - 186 108 78 74 62 31 19 50 19 113 61 75 49 186 - 28 6- - - - - - 16% 20% 13% 30% 17% 10% 8% 17% 11% 18% 17% 18% 13% 16% - 25% 14%

I KLM LM o

Very likely

- - - - - - 172 97 74 60 74 28 9 47 22 103 64 61 46 172 - 24 7- - - - - - 15% 18% 12% 24% 21% 9% 4% 16% 12% 16% 18% 15% 13% 15% - 21% 16%

I LM LM M

Somewhat likely

- - - - - - 787 335 452 113 219 241 214 194 136 414 237 275 275 787 - 62 29- - - - - - 69% 62% 75% 46% 62% 80% 88% 67% 77% 66% 65% 67% 74% 69% - 54% 70%

H J JK JKL NP Qr


- - - - - - 185 116 69 47 77 43 17 44 34 104 50 65 69 185 - 27 4- - - - - - 16% 21% 11% 19% 22% 14% 7% 15% 19% 16% 14% 16% 19% 16% - 24% 10%

I M LM M

Not very likely

- - - - - - 602 219 383 66 141 198 197 150 103 310 187 210 205 602 - 35 25- - - - - - 53% 40% 63% 27% 40% 66% 81% 52% 58% 49% 52% 51% 55% 53% - 30% 60%

H J JK JKL p

Not at all likely

- - - - - - 1144 540 604 247 355 300 242 291 177 630 362 412 370 1144 - 114 42- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - 100% 100%

Sigma




Save more and spend less






- - - - - - 1598 760 839 475 416 403 303 472 266 760 475 610 513 902 662 156 49- - - - - - 79% 77% 81% 80% 83% 80% 71% 78% 80% 79% 76% 83% 77% 79% 79% 87% 87%

M M M QS


- - - - - - 832 389 443 266 231 201 133 255 151 388 239 329 263 492 315 78 18- - - - - - 41% 39% 42% 45% 46% 40% 31% 42% 45% 40% 38% 45% 39% 43% 38% 43% 31%

M M M Qs u

Very likely

- - - - - - 767 371 396 209 185 202 170 217 115 372 236 281 250 411 347 78 31- - - - - - 38% 38% 38% 35% 37% 40% 40% 36% 35% 39% 38% 38% 37% 36% 41% 43% 55%

T

Somewhat likely

- - - - - - 431 228 203 122 88 99 121 137 66 205 148 125 157 242 174 24 8- - - - - - 21% 23% 19% 20% 17% 20% 29% 22% 20% 21% 24% 17% 23% 21% 21% 13% 13%

JKL R R


- - - - - - 278 155 123 74 61 56 87 90 40 136 102 74 102 154 119 19 3- - - - - - 14% 16% 12% 12% 12% 11% 20% 15% 12% 14% 16% 10% 15% 13% 14% 10% 6%

I JKL R R

Not very likely

- - - - - - 153 72 80 49 27 43 34 47 26 69 47 51 55 88 55 5 4- - - - - - 8% 7% 8% 8% 5% 8% 8% 8% 8% 7% 7% 7% 8% 8% 7% 3% 8%

k

Not at all likely

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - 1386 673 713 378 342 366 300 399 231 677 413 538 434 799 560 136 45- - - - - - 68% 68% 68% 63% 68% 73% 71% 65% 70% 70% 66% 73% 65% 70% 67% 75% 79%

J j QS


- - - - - - 726 341 385 203 178 190 156 226 122 331 198 306 223 415 293 79 23- - - - - - 36% 35% 37% 34% 35% 38% 37% 37% 37% 34% 32% 42% 33% 36% 35% 44% 41%

QS

Very likely

- - - - - - 659 332 328 176 164 176 144 173 109 346 215 233 211 384 267 57 22- - - - - - 32% 34% 31% 29% 33% 35% 34% 28% 33% 36% 35% 32% 32% 34% 32% 31% 38%

j N

Somewhat likely

- - - - - - 643 314 329 219 162 137 125 210 101 288 210 197 236 345 276 44 12- - - - - - 32% 32% 32% 37% 32% 27% 29% 35% 30% 30% 34% 27% 35% 30% 33% 25% 21%

Lm R R


- - - - - - 372 188 184 132 100 72 68 112 67 163 127 106 139 208 155 27 8- - - - - - 18% 19% 18% 22% 20% 14% 16% 18% 20% 17% 20% 14% 21% 18% 19% 15% 14%

Lm l R R

Not very likely

- - - - - - 271 126 145 88 62 64 56 98 34 125 83 92 97 137 121 17 4- - - - - - 13% 13% 14% 15% 12% 13% 13% 16% 10% 13% 13% 12% 14% 12% 14% 9% 7%

O

Not at all likely

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Use my car to travel long distance instead of air travel






- - - - - - 1201 615 586 363 315 297 226 305 204 623 376 461 365 709 467 114 38- - - - - - 59% 62% 56% 61% 62% 59% 53% 50% 61% 65% 60% 63% 54% 62% 56% 63% 66%

I m M N N s S U


- - - - - - 622 299 323 173 160 169 120 172 110 306 198 244 180 379 231 53 15- - - - - - 31% 30% 31% 29% 32% 34% 28% 28% 33% 32% 32% 33% 27% 33% 28% 29% 26%

S U

Very likely

- - - - - - 579 316 263 190 155 129 106 133 94 317 178 217 184 330 237 62 23- - - - - - 29% 32% 25% 32% 31% 26% 25% 22% 28% 33% 28% 29% 28% 29% 28% 34% 40%

I lm n N

Somewhat likely

- - - - - - 579 279 300 165 135 141 138 184 88 273 197 177 205 325 242 39 17- - - - - - 29% 28% 29% 28% 27% 28% 33% 30% 27% 28% 32% 24% 31% 28% 29% 22% 29%

R R


- - - - - - 319 155 164 96 72 73 78 88 46 169 115 86 118 175 141 24 6- - - - - - 16% 16% 16% 16% 14% 15% 18% 14% 14% 18% 18% 12% 18% 15% 17% 13% 11%

R R

Not very likely

- - - - - - 259 124 136 68 63 68 61 96 42 103 82 91 87 150 102 15 10- - - - - - 13% 13% 13% 11% 12% 13% 14% 16% 13% 11% 13% 12% 13% 13% 12% 8% 18%

P

Not at all likely

- - - - - - 249 93 156 70 54 65 60 120 40 70 51 98 100 110 126 27 2- - - - - - 12% 9% 15% 12% 11% 13% 14% 20% 12% 7% 8% 13% 15% 10% 15% 15% 4%

H OP P Q Q T w

Not applicable

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 33BHV25 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?

Summary Of Spend More






- - - - - - 606 349 257 240 177 109 81 199 79 304 160 260 187 345 247 73 9- - - - - - 30% 35% 25% 40% 35% 22% 19% 33% 24% 31% 26% 35% 28% 30% 30% 41% 16%

I LM LM O O QS W

Groceries

- - - - - - 581 343 237 261 148 103 68 188 82 292 165 233 183 339 225 73 8- - - - - - 29% 35% 23% 44% 29% 21% 16% 31% 25% 30% 26% 32% 27% 30% 27% 41% 15%

I KLM LM o q W

Personal care

- - - - - - 506 320 186 218 152 86 50 140 64 284 143 210 153 325 169 77 10- - - - - - 25% 32% 18% 36% 30% 17% 12% 23% 19% 29% 23% 29% 23% 28% 20% 43% 17%

I kLM LM m NO qs U W

Medical products

- - - - - - 408 240 169 143 122 82 62 87 64 250 142 145 122 259 139 35 5- - - - - - 20% 24% 16% 24% 24% 16% 15% 14% 19% 26% 23% 20% 18% 23% 17% 19% 8%

I LM LM n NO s U

Leisure travel

- - - - - - 406 265 140 181 132 64 29 95 63 241 115 161 129 257 141 40 6- - - - - - 20% 27% 13% 30% 26% 13% 7% 16% 19% 25% 19% 22% 19% 22% 17% 22% 11%

I LM LM M No U

Movies/shows

- - - - - - 358 212 146 154 115 45 45 111 46 197 109 142 106 235 111 34 9- - - - - - 18% 21% 14% 26% 23% 9% 11% 18% 14% 20% 18% 19% 16% 21% 13% 19% 16%

I LM LM O U

Apparel

- - - - - - 329 231 98 150 106 43 29 83 52 187 96 135 97 193 124 44 8- - - - - - 16% 23% 9% 25% 21% 9% 7% 14% 16% 19% 15% 18% 15% 17% 15% 25% 13%

I LM LM N

Consumer electronics




Summary Of Spend Less






- - - - - - 734 349 385 229 194 180 130 221 131 341 222 294 217 416 301 81 18- - - - - - 36% 35% 37% 38% 38% 36% 31% 36% 39% 35% 36% 40% 32% 36% 36% 45% 31%

m m S

Leisure travel

- - - - - - 678 324 354 197 171 177 133 206 109 319 215 237 226 381 273 65 20- - - - - - 33% 33% 34% 33% 34% 35% 31% 34% 33% 33% 35% 32% 34% 33% 33% 36% 35%

Movies/shows

- - - - - - 624 301 323 224 147 144 108 185 106 299 207 219 198 354 255 78 11- - - - - - 31% 30% 31% 38% 29% 29% 25% 30% 32% 31% 33% 30% 30% 31% 31% 43% 20%

KLM W

Apparel

- - - - - - 593 283 310 201 149 138 104 199 99 256 200 215 179 334 243 66 15- - - - - - 29% 29% 30% 34% 30% 27% 25% 33% 30% 26% 32% 29% 27% 29% 29% 37% 27%

lM P s


- - - - - - 381 186 195 123 112 84 61 113 69 185 126 126 129 240 129 40 9- - - - - - 19% 19% 19% 21% 22% 17% 14% 19% 21% 19% 20% 17% 19% 21% 15% 22% 16%

M lM U

Groceries

- - - - - - 341 176 164 115 103 77 45 109 54 161 113 126 102 202 126 40 7- - - - - - 17% 18% 16% 19% 21% 15% 11% 18% 16% 17% 18% 17% 15% 18% 15% 22% 12%

M lM m

Personal care

- - - - - - 295 161 134 124 85 61 26 114 44 128 77 105 113 159 116 24 2- - - - - - 15% 16% 13% 21% 17% 12% 6% 19% 13% 13% 12% 14% 17% 14% 14% 13% 4%

i LM lM M oP q

Medical products










- - - - - - 1228 507 722 256 268 355 349 356 224 553 404 421 404 661 550 79 45- - - - - - 61% 51% 69% 43% 53% 71% 82% 58% 68% 57% 65% 57% 60% 58% 66% 44% 79%

H J JK JKL NP R T V

Medical products

- - - - - - 1108 468 640 222 253 323 310 312 195 512 346 377 385 604 484 67 42- - - - - - 55% 47% 61% 37% 50% 64% 73% 51% 59% 53% 56% 51% 57% 53% 58% 37% 73%

H J JK JKL n r t V

Personal care

- - - - - - 1107 474 634 246 249 321 291 327 181 523 327 386 394 617 468 70 34- - - - - - 55% 48% 61% 41% 49% 64% 69% 54% 55% 54% 53% 53% 59% 54% 56% 39% 60%

H J JK JK qr V


- - - - - - 1047 474 573 220 242 313 272 313 180 469 307 374 366 556 469 68 36- - - - - - 52% 48% 55% 37% 48% 62% 64% 51% 54% 49% 49% 51% 55% 49% 56% 38% 64%

H J JK JK T V

Apparel

- - - - - - 1042 452 590 235 215 309 283 297 184 476 338 349 355 559 459 67 39- - - - - - 51% 46% 57% 39% 43% 61% 67% 49% 56% 49% 54% 48% 53% 49% 55% 37% 68%

H JK JK n R T V

Groceries

- - - - - - 945 398 547 219 202 261 263 309 159 405 292 337 316 506 421 75 30- - - - - - 47% 40% 53% 37% 40% 52% 62% 51% 48% 42% 47% 46% 47% 44% 50% 42% 54%

H JK JKL P T

Movies/shows

- - - - - - 887 399 488 226 188 240 232 302 137 374 260 296 331 469 395 64 34- - - - - - 44% 40% 47% 38% 37% 48% 55% 50% 41% 39% 42% 40% 49% 41% 47% 36% 60%

H JK JKl OP QR T V

Leisure travel



20 Apr 2020Table 36BHV25_1 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?

Groceries






- - - - - - 606 349 257 240 177 109 81 199 79 304 160 260 187 345 247 73 9- - - - - - 30% 35% 25% 40% 35% 22% 19% 33% 24% 31% 26% 35% 28% 30% 30% 41% 16%

I LM LM O O QS W

Spend more

- - - - - - 381 186 195 123 112 84 61 113 69 185 126 126 129 240 129 40 9- - - - - - 19% 19% 19% 21% 22% 17% 14% 19% 21% 19% 20% 17% 19% 21% 15% 22% 16%

M lM U

Spend less

- - - - - - 1042 452 590 235 215 309 283 297 184 476 338 349 355 559 459 67 39- - - - - - 51% 46% 57% 39% 43% 61% 67% 49% 56% 49% 54% 48% 53% 49% 55% 37% 68%

H JK JK n R T V

No change

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Personal care






- - - - - - 581 343 237 261 148 103 68 188 82 292 165 233 183 339 225 73 8- - - - - - 29% 35% 23% 44% 29% 21% 16% 31% 25% 30% 26% 32% 27% 30% 27% 41% 15%

I KLM LM o q W

Spend more

- - - - - - 341 176 164 115 103 77 45 109 54 161 113 126 102 202 126 40 7- - - - - - 17% 18% 16% 19% 21% 15% 11% 18% 16% 17% 18% 17% 15% 18% 15% 22% 12%

M lM m

Spend less

- - - - - - 1108 468 640 222 253 323 310 312 195 512 346 377 385 604 484 67 42- - - - - - 55% 47% 61% 37% 50% 64% 73% 51% 59% 53% 56% 51% 57% 53% 58% 37% 73%

H J JK JKL n r t V

No change

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Medical products






- - - - - - 506 320 186 218 152 86 50 140 64 284 143 210 153 325 169 77 10- - - - - - 25% 32% 18% 36% 30% 17% 12% 23% 19% 29% 23% 29% 23% 28% 20% 43% 17%

I kLM LM m NO qs U W

Spend more

- - - - - - 295 161 134 124 85 61 26 114 44 128 77 105 113 159 116 24 2- - - - - - 15% 16% 13% 21% 17% 12% 6% 19% 13% 13% 12% 14% 17% 14% 14% 13% 4%

i LM lM M oP q

Spend less

- - - - - - 1228 507 722 256 268 355 349 356 224 553 404 421 404 661 550 79 45- - - - - - 61% 51% 69% 43% 53% 71% 82% 58% 68% 57% 65% 57% 60% 58% 66% 44% 79%

H J JK JKL NP R T V

No change

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Apparel






- - - - - - 358 212 146 154 115 45 45 111 46 197 109 142 106 235 111 34 9- - - - - - 18% 21% 14% 26% 23% 9% 11% 18% 14% 20% 18% 19% 16% 21% 13% 19% 16%

I LM LM O U

Spend more

- - - - - - 624 301 323 224 147 144 108 185 106 299 207 219 198 354 255 78 11- - - - - - 31% 30% 31% 38% 29% 29% 25% 30% 32% 31% 33% 30% 30% 31% 31% 43% 20%

KLM W

Spend less

- - - - - - 1047 474 573 220 242 313 272 313 180 469 307 374 366 556 469 68 36- - - - - - 52% 48% 55% 37% 48% 62% 64% 51% 54% 49% 49% 51% 55% 49% 56% 38% 64%

H J JK JK T V

No change

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - 329 231 98 150 106 43 29 83 52 187 96 135 97 193 124 44 8- - - - - - 16% 23% 9% 25% 21% 9% 7% 14% 16% 19% 15% 18% 15% 17% 15% 25% 13%

I LM LM N

Spend more

- - - - - - 593 283 310 201 149 138 104 199 99 256 200 215 179 334 243 66 15- - - - - - 29% 29% 30% 34% 30% 27% 25% 33% 30% 26% 32% 29% 27% 29% 29% 37% 27%

lM P s

Spend less

- - - - - - 1107 474 634 246 249 321 291 327 181 523 327 386 394 617 468 70 34- - - - - - 55% 48% 61% 41% 49% 64% 69% 54% 55% 54% 53% 53% 59% 54% 56% 39% 60%

H J JK JK qr V

No change

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Leisure travel






- - - - - - 408 240 169 143 122 82 62 87 64 250 142 145 122 259 139 35 5- - - - - - 20% 24% 16% 24% 24% 16% 15% 14% 19% 26% 23% 20% 18% 23% 17% 19% 8%

I LM LM n NO s U

Spend more

- - - - - - 734 349 385 229 194 180 130 221 131 341 222 294 217 416 301 81 18- - - - - - 36% 35% 37% 38% 38% 36% 31% 36% 39% 35% 36% 40% 32% 36% 36% 45% 31%

m m S

Spend less

- - - - - - 887 399 488 226 188 240 232 302 137 374 260 296 331 469 395 64 34- - - - - - 44% 40% 47% 38% 37% 48% 55% 50% 41% 39% 42% 40% 49% 41% 47% 36% 60%

H JK JKl OP QR T V

No change

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Movies/shows






- - - - - - 406 265 140 181 132 64 29 95 63 241 115 161 129 257 141 40 6- - - - - - 20% 27% 13% 30% 26% 13% 7% 16% 19% 25% 19% 22% 19% 22% 17% 22% 11%

I LM LM M No U

Spend more

- - - - - - 678 324 354 197 171 177 133 206 109 319 215 237 226 381 273 65 20- - - - - - 33% 33% 34% 33% 34% 35% 31% 34% 33% 33% 35% 32% 34% 33% 33% 36% 35%

Spend less

- - - - - - 945 398 547 219 202 261 263 309 159 405 292 337 316 506 421 75 30- - - - - - 47% 40% 53% 37% 40% 52% 62% 51% 48% 42% 47% 46% 47% 44% 50% 42% 54%

H JK JKL P T

No change

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 43HAT01 Do you think hate/discrimination has risen for each of the following groups since the COVID-19 outbreak?

Summary Of Yes






- - - - - - 923 453 470 316 228 206 173 276 152 459 192 448 283 503 402 89 22- - - - - - 45% 46% 45% 53% 45% 41% 41% 45% 46% 48% 31% 61% 42% 44% 48% 49% 39%

KLM QS Q

Asian Americans

- - - - - - 369 205 164 116 111 74 67 106 55 194 112 151 107 228 124 40 12- - - - - - 18% 21% 16% 19% 22% 15% 16% 17% 17% 20% 18% 20% 16% 20% 15% 22% 21%

I l Lm s U

Religious groups

- - - - - - 359 184 175 118 102 72 68 115 59 174 72 201 86 212 135 34 13- - - - - - 18% 19% 17% 20% 20% 14% 16% 19% 18% 18% 12% 27% 13% 19% 16% 19% 23%

L L QS

African Americans

- - - - - - 305 183 122 107 78 64 56 96 45 157 68 147 90 193 97 35 8- - - - - - 15% 19% 12% 18% 16% 13% 13% 16% 14% 16% 11% 20% 13% 17% 12% 19% 13%

I l QS U

Hispanics / Latinos




Summary Of No






- - - - - - 1254 638 616 333 327 317 277 367 199 625 458 406 390 715 518 109 41- - - - - - 62% 65% 59% 56% 65% 63% 65% 60% 60% 65% 74% 55% 58% 62% 62% 61% 72%

I J J J RS

Hispanics / Latinos

- - - - - - 1218 633 585 330 304 312 272 351 197 611 449 371 397 695 495 108 38- - - - - - 60% 64% 56% 55% 60% 62% 64% 58% 59% 63% 72% 50% 59% 61% 59% 60% 66%

I J J n RS R

African Americans

- - - - - - 1194 607 588 317 300 308 269 355 196 588 414 405 376 670 507 103 30- - - - - - 59% 61% 56% 53% 60% 61% 63% 58% 59% 61% 66% 55% 56% 59% 61% 57% 52%

i j J J RS

Religious groups

- - - - - - 740 397 343 180 193 197 169 205 115 377 336 182 222 442 279 63 28- - - - - - 36% 40% 33% 30% 38% 39% 40% 34% 35% 39% 54% 25% 33% 39% 33% 35% 49%

I J J J n RS R u

Asian Americans




Summary Of Not Sure






- - - - - - 470 165 304 158 99 121 92 147 88 183 97 183 190 236 220 36 9- - - - - - 23% 17% 29% 26% 20% 24% 22% 24% 27% 19% 16% 25% 28% 21% 26% 20% 15%

H K P P Q Q T

Hispanics / Latinos

- - - - - - 466 176 290 164 93 121 88 148 80 183 98 180 188 246 205 37 15- - - - - - 23% 18% 28% 28% 18% 24% 21% 24% 24% 19% 16% 24% 28% 22% 25% 21% 27%

H Km k P p Q Q

Religious groups

- - - - - - 452 170 282 151 99 118 85 143 76 180 102 163 187 237 206 39 6- - - - - - 22% 17% 27% 25% 20% 24% 20% 23% 23% 19% 16% 22% 28% 21% 25% 22% 10%

H k p Q QR t

African Americans

- - - - - - 366 137 229 102 83 99 82 128 65 129 96 106 164 200 155 28 7- - - - - - 18% 14% 22% 17% 16% 20% 19% 21% 20% 13% 15% 14% 25% 17% 19% 16% 12%

H P P QR

Asian Americans



20 Apr 2020Table 46HAT01_1 Do you think hate/discrimination has risen for each of the following groups since the COVID-19 outbreak?

Religious groups






- - - - - - 369 205 164 116 111 74 67 106 55 194 112 151 107 228 124 40 12- - - - - - 18% 21% 16% 19% 22% 15% 16% 17% 17% 20% 18% 20% 16% 20% 15% 22% 21%

I l Lm s U

Yes

- - - - - - 1194 607 588 317 300 308 269 355 196 588 414 405 376 670 507 103 30- - - - - - 59% 61% 56% 53% 60% 61% 63% 58% 59% 61% 66% 55% 56% 59% 61% 57% 52%

i j J J RS

No

- - - - - - 466 176 290 164 93 121 88 148 80 183 98 180 188 246 205 37 15- - - - - - 23% 18% 28% 28% 18% 24% 21% 24% 24% 19% 16% 24% 28% 22% 25% 21% 27%

H Km k P p Q Q

Not Sure

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




African Americans






- - - - - - 359 184 175 118 102 72 68 115 59 174 72 201 86 212 135 34 13- - - - - - 18% 19% 17% 20% 20% 14% 16% 19% 18% 18% 12% 27% 13% 19% 16% 19% 23%

L L QS

Yes

- - - - - - 1218 633 585 330 304 312 272 351 197 611 449 371 397 695 495 108 38- - - - - - 60% 64% 56% 55% 60% 62% 64% 58% 59% 63% 72% 50% 59% 61% 59% 60% 66%

I J J n RS R

No

- - - - - - 452 170 282 151 99 118 85 143 76 180 102 163 187 237 206 39 6- - - - - - 22% 17% 27% 25% 20% 24% 20% 23% 23% 19% 16% 22% 28% 21% 25% 22% 10%

H k p Q QR t

Not Sure

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Asian Americans






- - - - - - 923 453 470 316 228 206 173 276 152 459 192 448 283 503 402 89 22- - - - - - 45% 46% 45% 53% 45% 41% 41% 45% 46% 48% 31% 61% 42% 44% 48% 49% 39%

KLM QS Q

Yes

- - - - - - 740 397 343 180 193 197 169 205 115 377 336 182 222 442 279 63 28- - - - - - 36% 40% 33% 30% 38% 39% 40% 34% 35% 39% 54% 25% 33% 39% 33% 35% 49%

I J J J n RS R u

No

- - - - - - 366 137 229 102 83 99 82 128 65 129 96 106 164 200 155 28 7- - - - - - 18% 14% 22% 17% 16% 20% 19% 21% 20% 13% 15% 14% 25% 17% 19% 16% 12%

H P P QR

Not Sure

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Hispanics / Latinos






- - - - - - 305 183 122 107 78 64 56 96 45 157 68 147 90 193 97 35 8- - - - - - 15% 19% 12% 18% 16% 13% 13% 16% 14% 16% 11% 20% 13% 17% 12% 19% 13%

I l QS U

Yes

- - - - - - 1254 638 616 333 327 317 277 367 199 625 458 406 390 715 518 109 41- - - - - - 62% 65% 59% 56% 65% 63% 65% 60% 60% 65% 74% 55% 58% 62% 62% 61% 72%

I J J J RS

No

- - - - - - 470 165 304 158 99 121 92 147 88 183 97 183 190 236 220 36 9- - - - - - 23% 17% 29% 26% 20% 24% 22% 24% 27% 19% 16% 25% 28% 21% 26% 20% 15%

H K P P Q Q T

Not Sure

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 50HAT02 How concerned are you about the hate/discrimination towards Asian Americans related to the coronavirus pandemic in this country?






- - - - - - 1207 577 630 397 305 275 229 341 215 585 275 543 388 679 506 126 30- - - - - - 59% 58% 60% 66% 61% 55% 54% 56% 65% 61% 44% 74% 58% 59% 61% 70% 53%

kLM N QS Q w

Very/SomewhatConcerned (Net)

- - - - - - 558 271 287 190 156 113 99 147 102 289 118 294 146 304 237 72 8- - - - - - 28% 27% 28% 32% 31% 22% 23% 24% 31% 30% 19% 40% 22% 27% 28% 40% 14%

LM LM n N QS W

Very concerned

- - - - - - 649 306 343 207 150 163 129 194 113 297 157 250 242 375 268 53 22- - - - - - 32% 31% 33% 35% 30% 32% 30% 32% 34% 31% 25% 34% 36% 33% 32% 29% 39%

Q Q

Somewhat concerned

- - - - - - 822 411 412 200 199 227 196 269 117 380 348 192 282 465 330 55 27- - - - - - 41% 42% 40% 34% 39% 45% 46% 44% 35% 39% 56% 26% 42% 41% 39% 30% 47%

j J J O RS R v

Not Very/Not At All Concerned (Net)

- - - - - - 455 217 237 112 116 122 105 152 65 202 182 115 157 265 173 36 14- - - - - - 22% 22% 23% 19% 23% 24% 25% 25% 20% 21% 29% 16% 23% 23% 21% 20% 24%

j j Rs R

Not very concerned

- - - - - - 367 193 174 88 83 105 91 116 52 178 166 77 124 200 157 19 13- - - - - - 18% 20% 17% 15% 16% 21% 21% 19% 16% 18% 27% 10% 19% 17% 19% 10% 23%

J J RS R v

Not at all concerned

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 51Q13 How has the coronavirus outbreak impacted your work life? Please select all that apply.

Base: Employed




1212 1242 1212 1198 - - 1149 646 503 397 383 299 70 309 197 600 400 404 345 697 432 126 19Unweighted Base1275 1246 1242 1242 -** -** 1138 642 495 387 377 303 72* 275 174 648 363 417 357 697 414 132* 25**Weighted Base

302 342 347 368 - - 345 206 139 107 136 80 23 63 33 243 104 134 107 216 121 42 224% 27% 28% 30% - - 30% 32% 28% 28% 36% 26% 32% 23% 19% 37% 29% 32% 30% 31% 29% 32% 8%

a a A A JL NO

Work remote more often

149 226 297 310 - - 270 181 89 103 100 53 14 57 36 168 91 92 87 176 87 55 412% 18% 24% 25% - - 24% 28% 18% 27% 27% 17% 20% 21% 21% 26% 25% 22% 24% 25% 21% 42% 17%

A AB AB AB I L L

Caused me to feel isolatedand lonely during the workday due to working fromhome

247 291 302 332 - - 267 180 86 104 100 53 9 63 51 145 96 94 77 171 88 48 219% 23% 24% 27% - - 23% 28% 17% 27% 27% 17% 13% 23% 29% 22% 27% 22% 21% 25% 21% 36% 8%

a A A a I LM LM

Limited the number ofhours I can work due tolimited demand (e.g.,cancelled shifts, taken offthe schedule)

234 314 377 338 - - 252 155 97 100 94 48 10 58 39 147 73 95 83 156 87 32 318% 25% 30% 27% - - 22% 24% 19% 26% 25% 16% 14% 21% 22% 23% 20% 23% 23% 22% 21% 24% 14%

A ABG AG a Lm Lm

Decreased my productivity

130 186 251 287 - - 250 133 118 117 63 64 6 66 47 128 79 91 80 152 92 35 910% 15% 20% 23% - - 22% 21% 24% 30% 17% 21% 8% 24% 27% 20% 22% 22% 23% 22% 22% 27% 34%

A AB AB AB KLM M p

I have been laid off / puton temporary leave untilbusiness picks back up

256 239 281 285 - - 227 139 88 87 63 59 17 65 28 131 70 85 71 128 86 23 320% 19% 23% 23% - - 20% 22% 18% 23% 17% 20% 24% 24% 16% 20% 19% 20% 20% 18% 21% 17% 11%

b

Loss of business (e.g.,sales decreasing, loss ofclients/ accounts)

123 162 230 195 - - 219 137 82 70 93 49 7 44 21 149 71 96 52 143 72 33 410% 13% 18% 16% - - 19% 21% 17% 18% 25% 16% 10% 16% 12% 23% 20% 23% 15% 20% 17% 25% 17%

A AB A ABd i jLM NO S

It has made my workdifficult because I don’thave an adequate homeoffice

168 166 218 191 - - 184 115 68 71 82 29 2 42 16 124 66 82 36 159 21 36 113% 13% 18% 15% - - 16% 18% 14% 18% 22% 9% 3% 15% 9% 19% 18% 20% 10% 23% 5% 27% 5%

AB LM LM O S S U

It has made my workfrustrating because I haveto care for my childrenwho are out of school

147 162 154 160 - - 165 117 48 64 53 38 11 40 17 103 63 57 45 116 49 24 312% 13% 12% 13% - - 15% 18% 10% 16% 14% 12% 16% 15% 10% 16% 17% 14% 13% 17% 12% 18% 10%

a I o u

Increased demand withinmy line of work/ presentednew business opportunities(e.g., increasing sales, newmarkets, etc.)

190 179 176 226 - - 156 97 58 64 49 39 4 39 20 93 52 50 54 98 54 19 315% 14% 14% 18% - - 14% 15% 12% 17% 13% 13% 6% 14% 11% 14% 14% 12% 15% 14% 13% 15% 11%

aBCG m

Increased my productivity

75 63 90 63 - - 94 60 34 61 21 11 - 16 19 58 31 35 28 56 33 18 26% 5% 7% 5% - - 8% 9% 7% 16% 6% 4% - 6% 11% 9% 8% 8% 8% 8% 8% 14% 7%

bd aBD KLM m n

I have not been able towork because of falling ill

227 165 142 106 - - 80 38 42 16 17 32 15 27 13 31 27 20 33 42 38 6 218% 13% 11% 9% - - 7% 6% 9% 4% 5% 11% 21% 10% 8% 5% 7% 5% 9% 6% 9% 4% 10%

BCDG DG dG JK JKL P r t

Other

2249 2494 2864 2861 - - 2508 1558 950 965 872 552 119 582 340 1521 824 930 754 1612 827 369 38176% 200% 231% 230% - - 220% 243% 192% 249% 231% 182% 167% 212% 196% 235% 227% 223% 211% 231% 200% 281% 151%

Sigma



20 Apr 2020Table 52EMP02 How concerned are you that you may lose your job due to the coronavirus outbreak?

Base: Employed




- - - 1198 1161 1147 1149 646 503 397 383 299 70 309 197 600 400 404 345 697 432 126 19Unweighted Base-** -** -** 1242 1173 1152 1138 642 495 387 377 303 72* 275 174 648 363 417 357 697 414 132* 25**Weighted Base

- - - 692 701 638 594 353 241 244 200 138 11 149 104 324 168 246 180 380 201 82 11- - - 56% 60% 55% 52% 55% 49% 63% 53% 46% 16% 54% 60% 50% 46% 59% 50% 54% 49% 62% 43%

fG i KLM M M P Qs


- - - 347 383 333 292 180 111 114 117 58 3 67 38 181 98 126 68 194 90 45 7- - - 28% 33% 29% 26% 28% 22% 29% 31% 19% 4% 24% 22% 28% 27% 30% 19% 28% 22% 34% 26%

dG i LM LM M S S u

Very concerned

- - - 344 318 305 302 172 130 130 83 80 9 82 66 143 69 120 113 186 111 37 4- - - 28% 27% 26% 27% 27% 26% 34% 22% 26% 12% 30% 38% 22% 19% 29% 31% 27% 27% 28% 17%

KlM M P P Q Q

Somewhat concerned

- - - 551 471 514 544 290 254 143 176 164 60 126 69 324 195 171 177 317 213 49 15- - - 44% 40% 45% 48% 45% 51% 37% 47% 54% 84% 46% 40% 50% 54% 41% 50% 46% 51% 38% 57%

e E h J J JKL O R r

Not At All/Not VeryConcerned (Net)

- - - 258 221 263 256 138 117 78 94 62 21 66 30 150 77 100 78 152 97 32 8- - - 21% 19% 23% 22% 22% 24% 20% 25% 21% 29% 24% 17% 23% 21% 24% 22% 22% 24% 24% 32%

e e

Not very concerned

- - - 293 251 251 288 151 137 65 82 102 39 59 39 174 119 71 99 165 115 17 6- - - 24% 21% 22% 25% 24% 28% 17% 22% 34% 55% 22% 23% 27% 33% 17% 28% 24% 28% 13% 25%

e JK JKL R R


- - - 1242 1173 1152 1138 642 495 387 377 303 72 275 174 648 363 417 357 697 414 132 25- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 53EMP04 Have you been working from home since the coronavirus pandemic?

Base: Employed




- - - - 1161 1147 1149 646 503 397 383 299 70 309 197 600 400 404 345 697 432 126 19Unweighted Base-** -** -** -** 1173 1152 1138 642 495 387 377 303 72* 275 174 648 363 417 357 697 414 132* 25**Weighted Base

- - - - 726 661 713 430 283 261 261 150 41 134 91 471 235 263 215 455 243 102 6- - - - 62% 57% 63% 67% 57% 67% 69% 50% 57% 49% 52% 73% 65% 63% 60% 65% 59% 78% 24%

f F I L Lm NO u

Yes

- - - - 447 491 425 212 213 126 115 153 31 141 83 177 128 154 143 242 171 29 19- - - - 38% 43% 37% 33% 43% 33% 31% 50% 43% 51% 48% 27% 35% 37% 40% 35% 41% 22% 76%

eG H JK k P P t

No

- - - - 1173 1152 1138 642 495 387 377 303 72 275 174 648 363 417 357 697 414 132 25- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 54Q9 Do you think your income in 2020 will be lower, higher or about the same as it was in 2019?





- - - 2016 1993 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** -** 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - - 864 816 895 921 386 535 209 200 237 275 258 153 441 285 321 315 488 417 55 32- - - 43% 41% 44% 45% 39% 51% 35% 40% 47% 65% 42% 46% 46% 46% 44% 47% 43% 50% 31% 56%

e E H JK JKL T V

About the same

- - - 791 862 826 726 369 356 225 215 181 104 215 116 357 213 288 225 423 286 90 22- - - 39% 43% 41% 36% 37% 34% 38% 43% 36% 24% 35% 35% 37% 34% 39% 34% 37% 34% 50% 38%

g DG G M lM M s

Lower

- - - 362 315 291 382 232 150 163 89 84 46 136 62 167 126 127 130 233 133 35 3- - - 18% 16% 14% 19% 23% 14% 27% 18% 17% 11% 22% 19% 17% 20% 17% 19% 20% 16% 19% 6%

F EF I KLM M M P U w

Higher

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 55EMP08 If you’ve been laid off or furloughed, how long do you think it will take for you to find a new job or be rehired?






- - - - - - 287 171 116 140 84 46 18 86 47 143 89 117 82 164 113 43 11- - - - - - 14% 17% 11% 23% 17% 9% 4% 14% 14% 15% 14% 16% 12% 14% 13% 24% 19%

I KLM LM M

3-6 months from now

- - - - - - 238 149 89 100 83 47 8 71 35 127 62 96 80 149 78 27 5- - - - - - 12% 15% 9% 17% 16% 9% 2% 12% 11% 13% 10% 13% 12% 13% 9% 15% 9%

I LM LM M U

6 months - 1 year fromnow

- - - - - - 192 106 86 95 53 32 12 69 36 81 60 61 71 100 89 17 4- - - - - - 9% 11% 8% 16% 11% 6% 3% 11% 11% 8% 10% 8% 11% 9% 11% 10% 6%

KLM LM M

1-2 months from now

- - - - - - 83 48 36 42 15 19 8 33 10 38 22 33 28 53 25 11 2- - - - - - 4% 5% 3% 7% 3% 4% 2% 5% 3% 4% 4% 4% 4% 5% 3% 6% 3%

KLM

More than a year from now

- - - - - - 1229 514 715 222 269 359 379 349 204 575 391 429 409 677 531 82 36- - - - - - 61% 52% 69% 37% 53% 71% 89% 57% 61% 60% 63% 58% 61% 59% 64% 46% 63%

H J JK JKL v

N/A - I have not been laidoff or furloughed

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 56EMP05 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Summary Of Yes





- - - - 1993 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** -** -** 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - - - 755 805 796 422 374 195 194 214 194 208 134 395 261 282 253 457 318 61 20- - - - 38% 40% 39% 43% 36% 33% 38% 43% 46% 34% 40% 41% 42% 38% 38% 40% 38% 34% 36%

I J Jk n N

I have not been impactedfinancially

- - - - 946 935 767 420 347 235 205 191 136 250 114 363 223 283 261 453 289 96 16- - - - 47% 46% 38% 43% 33% 39% 41% 38% 32% 41% 34% 38% 36% 38% 39% 40% 35% 53% 28%

G G I m M o u W

I have been impactedfinancially in some otherway

- - - - 752 774 665 374 291 266 205 140 55 230 107 305 171 265 229 397 257 83 12- - - - 38% 38% 33% 38% 28% 44% 41% 28% 13% 38% 32% 32% 28% 36% 34% 35% 31% 46% 22%

G G I LM LM M P Q Q W

Sought out new oradditional sources ofincome

- - - - 762 771 627 331 296 246 181 136 64 203 96 306 175 237 214 374 236 79 13- - - - 38% 38% 31% 33% 28% 41% 36% 27% 15% 33% 29% 32% 28% 32% 32% 33% 28% 44% 22%

G G I LM LM M u W

Stopped or cut back onother savings (e.g., collegetuition, a major purchase,such as a house or care)

- - - - 831 626 621 330 291 220 166 147 88 190 95 311 165 258 199 361 243 92 8- - - - 42% 31% 31% 33% 28% 37% 33% 29% 21% 31% 29% 32% 26% 35% 30% 32% 29% 51% 15%

FG I LM M M Qs W

Lost income partially

- - - - 560 581 599 337 262 218 169 105 107 162 88 316 175 235 189 377 211 83 18- - - - 28% 29% 30% 34% 25% 36% 33% 21% 25% 27% 27% 33% 28% 32% 28% 33% 25% 46% 31%

I LM LM No U

Provided financial supportfor a family member

- - - - 649 586 526 310 216 182 159 120 65 154 92 263 161 205 161 332 177 76 11- - - - 33% 29% 26% 31% 21% 30% 31% 24% 15% 25% 28% 27% 26% 28% 24% 29% 21% 42% 19%

fG g I LM LM M U W

Stopped or cut back onretirement savings

- - - - 537 537 499 275 223 196 160 96 48 174 72 232 146 194 159 287 192 60 11- - - - 27% 27% 25% 28% 21% 33% 32% 19% 11% 29% 22% 24% 23% 26% 24% 25% 23% 33% 19%

I LM LM M Op

Accumulated more debtthan normal

- - - - 543 488 466 249 216 200 156 81 29 191 63 196 123 182 160 296 156 63 8- - - - 27% 24% 23% 25% 21% 33% 31% 16% 7% 31% 19% 20% 20% 25% 24% 26% 19% 35% 14%

fG i LM LM M OP q U W

Missed (or will soon miss)a bill payment

- - - - 383 360 372 255 117 167 116 63 27 113 49 202 112 154 107 241 116 57 8- - - - 19% 18% 18% 26% 11% 28% 23% 13% 6% 19% 15% 21% 18% 21% 16% 21% 14% 31% 14%

I LM LM M O s U W

Provided financial supportfor a friend

- - - - 387 372 343 223 121 152 115 59 17 134 49 152 103 122 118 230 103 51 8- - - - 19% 18% 17% 23% 12% 25% 23% 12% 4% 22% 15% 16% 17% 17% 18% 20% 12% 28% 13%

g I LM LM M OP U w

Missed (or will soon miss)a rent/mortgage payment

- - - - 325 328 322 208 114 145 98 50 29 100 44 167 100 128 94 207 97 43 9- - - - 16% 16% 16% 21% 11% 24% 19% 10% 7% 16% 13% 17% 16% 17% 14% 18% 12% 24% 15%

I LM LM U

Paid for services that Ihaven’t used (e.g., a dogwalker, childcare, a housecleaning service)

- - - - 378 268 227 129 98 108 59 51 8 74 45 99 80 66 80 129 90 17 8- - - - 19% 13% 11% 13% 9% 18% 12% 10% 2% 12% 14% 10% 13% 9% 12% 11% 11% 10% 14%

FG g I KLM M M r

Lost income entirely



20 Apr 2020Table 57EMP05_1 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Missed (or will soon miss) a rent/mortgage payment






- - - - 387 372 343 223 121 152 115 59 17 134 49 152 103 122 118 230 103 51 8- - - - 19% 18% 17% 23% 12% 25% 23% 12% 4% 22% 15% 16% 17% 17% 18% 20% 12% 28% 13%

g I LM LM M OP U w

Yes

- - - - 1606 1641 1686 764 921 446 389 444 407 475 283 813 520 614 552 915 733 130 49- - - - 81% 82% 83% 77% 88% 75% 77% 88% 96% 78% 85% 84% 83% 83% 82% 80% 88% 72% 87%

e H JK JKL N N T v

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Missed (or will soon miss) a bill payment






- - - - 543 488 466 249 216 200 156 81 29 191 63 196 123 182 160 296 156 63 8- - - - 27% 24% 23% 25% 21% 33% 31% 16% 7% 31% 19% 20% 20% 25% 24% 26% 19% 35% 14%

fG i LM LM M OP q U W

Yes

- - - - 1450 1525 1563 738 825 398 348 422 396 418 269 769 500 554 510 848 680 118 49- - - - 73% 76% 77% 75% 79% 67% 69% 84% 93% 69% 81% 80% 80% 75% 76% 74% 81% 65% 86%

e E h JK JKL N N r T V

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Provided financial support for a family member






- - - - 560 581 599 337 262 218 169 105 107 162 88 316 175 235 189 377 211 83 18- - - - 28% 29% 30% 34% 25% 36% 33% 21% 25% 27% 27% 33% 28% 32% 28% 33% 25% 46% 31%

I LM LM No U

Yes

- - - - 1433 1432 1430 650 780 380 336 397 317 447 244 649 449 501 480 767 625 97 39- - - - 72% 71% 70% 66% 75% 64% 67% 79% 75% 73% 73% 67% 72% 68% 72% 67% 75% 54% 69%

H JK JK P p T

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Provided financial support for a friend






- - - - 383 360 372 255 117 167 116 63 27 113 49 202 112 154 107 241 116 57 8- - - - 19% 18% 18% 26% 11% 28% 23% 13% 6% 19% 15% 21% 18% 21% 16% 21% 14% 31% 14%

I LM LM M O s U W

Yes

- - - - 1610 1653 1657 732 925 431 389 439 398 496 283 763 512 582 563 903 719 124 49- - - - 81% 82% 82% 74% 89% 72% 77% 87% 94% 81% 85% 79% 82% 79% 84% 79% 86% 69% 86%

H JK JKL P r T V

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Sought out new or additional sources of income






- - - - 752 774 665 374 291 266 205 140 55 230 107 305 171 265 229 397 257 83 12- - - - 38% 38% 33% 38% 28% 44% 41% 28% 13% 38% 32% 32% 28% 36% 34% 35% 31% 46% 22%

G G I LM LM M P Q Q W

Yes

- - - - 1241 1239 1364 613 750 332 300 363 369 379 225 660 452 471 441 747 578 98 45- - - - 62% 62% 67% 62% 72% 56% 59% 72% 87% 62% 68% 68% 72% 64% 66% 65% 69% 54% 78%

EF H JK JKL N RS V

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost income partially






- - - - 831 626 621 330 291 220 166 147 88 190 95 311 165 258 199 361 243 92 8- - - - 42% 31% 31% 33% 28% 37% 33% 29% 21% 31% 29% 32% 26% 35% 30% 32% 29% 51% 15%

FG I LM M M Qs W

Yes

- - - - 1162 1387 1408 657 750 377 339 355 336 420 237 654 459 478 471 783 592 89 48- - - - 58% 69% 69% 67% 72% 63% 67% 71% 79% 69% 71% 68% 74% 65% 70% 68% 71% 49% 85%

E E H J JKL R r V

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost income entirely






- - - - 378 268 227 129 98 108 59 51 8 74 45 99 80 66 80 129 90 17 8- - - - 19% 13% 11% 13% 9% 18% 12% 10% 2% 12% 14% 10% 13% 9% 12% 11% 11% 10% 14%

FG g I KLM M M r

Yes

- - - - 1615 1745 1802 858 944 490 445 451 416 535 287 867 543 669 590 1015 745 163 49- - - - 81% 87% 89% 87% 91% 82% 88% 90% 98% 88% 86% 90% 87% 91% 88% 89% 89% 90% 86%

E Ef H J J JKL q

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Accumulated more debt than normal






- - - - 537 537 499 275 223 196 160 96 48 174 72 232 146 194 159 287 192 60 11- - - - 27% 27% 25% 28% 21% 33% 32% 19% 11% 29% 22% 24% 23% 26% 24% 25% 23% 33% 19%

I LM LM M Op

Yes

- - - - 1456 1476 1530 712 818 402 345 407 377 435 260 733 477 542 511 857 643 120 46- - - - 73% 73% 75% 72% 79% 67% 68% 81% 89% 71% 78% 76% 77% 74% 76% 75% 77% 67% 81%

H JK JKL N n

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Stopped or cut back on retirement savings






- - - - 649 586 526 310 216 182 159 120 65 154 92 263 161 205 161 332 177 76 11- - - - 33% 29% 26% 31% 21% 30% 31% 24% 15% 25% 28% 27% 26% 28% 24% 29% 21% 42% 19%

fG g I LM LM M U W

Yes

- - - - 1344 1427 1503 677 826 415 346 383 359 455 239 702 463 531 509 812 658 104 46- - - - 67% 71% 74% 69% 79% 70% 69% 76% 85% 75% 72% 73% 74% 72% 76% 71% 79% 58% 81%

e Ef H JK JKL T V

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Stopped or cut back on other savings (e.g., college tuition, a major purchase, such as a house or care)






- - - - 762 771 627 331 296 246 181 136 64 203 96 306 175 237 214 374 236 79 13- - - - 38% 38% 31% 33% 28% 41% 36% 27% 15% 33% 29% 32% 28% 32% 32% 33% 28% 44% 22%

G G I LM LM M u W

Yes

- - - - 1231 1242 1402 657 746 351 324 367 360 406 236 659 448 498 456 770 599 101 44- - - - 62% 62% 69% 67% 72% 59% 64% 73% 85% 67% 71% 68% 72% 68% 68% 67% 72% 56% 78%

EF H JK JKL t V

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Paid for services that I haven’t used (e.g., a dog walker, childcare, a house cleaning service)






- - - - 325 328 322 208 114 145 98 50 29 100 44 167 100 128 94 207 97 43 9- - - - 16% 16% 16% 21% 11% 24% 19% 10% 7% 16% 13% 17% 16% 17% 14% 18% 12% 24% 15%

I LM LM U

Yes

- - - - 1668 1685 1707 779 928 453 406 452 395 509 288 798 524 608 576 937 739 137 48- - - - 84% 84% 84% 79% 89% 76% 81% 90% 93% 84% 87% 83% 84% 83% 86% 82% 88% 76% 85%

H JK JK T

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I have been impacted financially in some other way






- - - - 946 935 767 420 347 235 205 191 136 250 114 363 223 283 261 453 289 96 16- - - - 47% 46% 38% 43% 33% 39% 41% 38% 32% 41% 34% 38% 36% 38% 39% 40% 35% 53% 28%

G G I m M o u W

Yes

- - - - 1047 1078 1262 567 695 363 300 312 288 360 218 602 400 453 409 691 547 84 41- - - - 53% 54% 62% 57% 67% 61% 59% 62% 68% 59% 66% 62% 64% 62% 61% 60% 65% 47% 72%

EF H jK n t V

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I have not been impacted financially






- - - - 755 805 796 422 374 195 194 214 194 208 134 395 261 282 253 457 318 61 20- - - - 38% 40% 39% 43% 36% 33% 38% 43% 46% 34% 40% 41% 42% 38% 38% 40% 38% 34% 36%

I J Jk n N

Yes

- - - - 1238 1208 1233 565 668 403 311 289 231 401 198 570 362 454 417 687 517 119 37- - - - 62% 60% 61% 57% 64% 67% 62% 57% 54% 66% 60% 59% 58% 62% 62% 60% 62% 66% 64%

H LM m oP

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 70EMP06 If you were forced to rely on your savings due to the current pandemic, for how many months would you be able to live on

the amount that you have saved? If you are not sure, please use your best estimate.






- - - - 212 210 205 48 157 57 55 64 28 118 30 43 47 80 77 100 98 11 8- - - - 11% 10% 10% 5% 15% 10% 11% 13% 7% 19% 9% 4% 8% 11% 12% 9% 12% 6% 14%

H m M OP P q Q t

Would not be able to liveon amount saved

- - - - 1200 1225 1228 615 613 401 337 301 189 398 208 555 372 457 399 721 475 123 34- - - - 60% 61% 61% 62% 59% 67% 67% 60% 45% 65% 63% 58% 60% 62% 60% 63% 57% 68% 59%

LM lM M P U

1-6

- - - - 141 111 110 62 48 52 22 17 18 27 18 59 31 51 27 63 46 10 1- - - - 7% 5% 5% 6% 5% 9% 4% 3% 4% 4% 5% 6% 5% 7% 4% 5% 6% 6% 2%

fg KLM s

7-11

- - - - 190 185 194 81 114 50 25 55 64 34 31 111 55 65 74 104 88 10 11- - - - 10% 9% 10% 8% 11% 8% 5% 11% 15% 6% 9% 12% 9% 9% 11% 9% 11% 6% 19%

h k K JK n N V

A year (12)

- - - - 35 30 41 25 16 9 12 10 9 3 2 34 14 13 13 20 20 5 -- - - - 2% 1% 2% 2% 2% 2% 2% 2% 2% * * 4% 2% 2% 2% 2% 2% 3% -

NO

13-18

- - - - 11 4 11 7 4 2 7 1 1 2 - 8 3 1 8 7 4 1 -- - - - 1% * 1% 1% * * 1% * * * - 1% * * 1% 1% * 1% -

r

19-23

- - - - 58 88 62 41 21 8 13 17 23 6 8 45 27 21 14 36 26 6 1- - - - 3% 4% 3% 4% 2% 1% 3% 3% 6% 1% 2% 5% 4% 3% 2% 3% 3% 4% 1%

eg I J Jk N s

Two years (24)

- - - - 2 17 10 4 7 6 1 2 2 2 2 6 5 - 5 6 4 - -- - - - * 1% 1% * 1% 1% * * 1% * 1% 1% 1% - 1% 1% * - -

E e R r

25-29

- - - - 19 14 21 12 9 7 10 - 5 2 7 8 6 6 10 8 9 3 -- - - - 1% 1% 1% 1% 1% 1% 2% - 1% * 2% 1% 1% 1% 1% 1% 1% 2% -

L L L N

30-35

- - - - 125 130 147 93 54 6 24 33 84 17 27 95 62 43 42 80 65 11 3- - - - 6% 6% 7% 9% 5% 1% 5% 7% 20% 3% 8% 10% 10% 6% 6% 7% 8% 6% 5%

I J J JKL N N RS

Three years (36)

- - - - 7.4 7.6 7.8 9.1 6.6 5.4 6.7 7.3 13.2 4.4 7.9 9.9 9.2 6.9 7.6 7.7 8.0 7.7 6.5I J J JKL N NO RS

Mean (Incl. 0)

- - - - 9.41 9.68 9.90 10.67 8.93 6.47 9.09 9.37 12.98 7.01 10.34 10.69 10.90 9.11 9.60 9.64 10.17 9.45 8.08Std. Dev. (Incl. 0)- - - - 0.21 0.22 0.22 0.34 0.28 0.26 0.40 0.41 0.65 0.27 0.54 0.37 0.42 0.34 0.38 0.29 0.35 0.72 1.17Std. Err. (Incl. 0)- - - - 4 4 4 5 3 3 3 4 6 2 4 6 5 3 4 4 4 4 4Median (Incl. 0)- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 71EMP07 Which of the following should have to happen before Americans can return to work? Please select all that apply.






- - - - - 1359 1405 658 747 375 328 371 330 375 244 707 410 557 437 785 598 127 40- - - - - 67% 69% 67% 72% 63% 65% 74% 78% 62% 73% 73% 66% 76% 65% 69% 72% 71% 70%

H JK JK N N QS

Proper testing in place(e.g., adequate access totests that are fast andaccurate)

- - - - - 1480 1375 634 741 338 348 367 322 387 232 678 410 542 422 780 572 118 36- - - - - 74% 68% 64% 71% 57% 69% 73% 76% 63% 70% 70% 66% 74% 63% 68% 69% 65% 63%

G H J J Jk n N QS

Number of cases go down

- - - - - 1153 1010 518 492 340 272 225 174 289 173 496 269 457 285 603 380 106 19- - - - - 57% 50% 52% 47% 57% 54% 45% 41% 48% 52% 51% 43% 62% 42% 53% 46% 59% 33%

G i LM LM QS U W

A COVID-19 vaccine hasbeen created

- - - - - 93 104 55 49 25 21 30 29 35 15 43 23 24 58 55 45 6 5- - - - - 5% 5% 6% 5% 4% 4% 6% 7% 6% 5% 4% 4% 3% 9% 5% 5% 3% 9%

QR

Other

- - - - - 118 185 73 112 57 49 48 31 72 24 71 73 27 84 83 86 8 6- - - - - 6% 9% 7% 11% 10% 10% 9% 7% 12% 7% 7% 12% 4% 13% 7% 10% 5% 11%

F H oP R R t

None of these - Americansshould return to work assoon as possible

- - - - - 4203 4079 1938 2141 1135 1018 1041 886 1158 688 1994 1186 1607 1286 2307 1681 365 106- - - - - 209% 201% 196% 205% 190% 202% 207% 209% 190% 207% 207% 190% 218% 192% 202% 201% 202% 187%

Sigma



20 Apr 2020Table 72STI09 Which of the following are you doing with your stimulus check? Please select all that apply.






- - - - - - 656 323 333 227 187 159 83 232 125 281 186 271 199 377 261 71 19- - - - - - 32% 33% 32% 38% 37% 32% 19% 38% 38% 29% 30% 37% 30% 33% 31% 39% 33%

lM M M P P QS

Paying bills

- - - - - - 537 254 283 141 129 144 123 149 89 275 169 211 157 319 209 48 19- - - - - - 26% 26% 27% 24% 26% 29% 29% 24% 27% 29% 27% 29% 23% 28% 25% 27% 33%

s

Putting it into my savings

- - - - - - 404 231 173 127 122 106 49 134 80 180 117 141 145 239 160 48 8- - - - - - 20% 23% 17% 21% 24% 21% 12% 22% 24% 19% 19% 19% 22% 21% 19% 26% 13%

I M M M p

Paying off debt(s)

- - - - - - 213 118 95 100 65 37 10 65 29 116 64 84 65 133 78 33 2- - - - - - 11% 12% 9% 17% 13% 7% 2% 11% 9% 12% 10% 11% 10% 12% 9% 18% 3%

i LM LM M W

Shopping for householditems (e.g., appliances)

- - - - - - 213 120 93 102 70 31 10 74 34 102 63 79 70 132 75 32 3- - - - - - 10% 12% 9% 17% 14% 6% 2% 12% 10% 11% 10% 11% 10% 12% 9% 18% 5%

i LM LM M w

Shopping for personalitem(s) (e.g., clothes,electronics)

- - - - - - 190 132 58 97 42 35 16 58 23 107 53 68 69 111 70 21 2- - - - - - 9% 13% 6% 16% 8% 7% 4% 9% 7% 11% 9% 9% 10% 10% 8% 12% 4%

I KLM M m o

Investing

- - - - - - 176 129 47 63 67 23 24 49 22 103 63 58 54 121 52 33 1- - - - - - 9% 13% 5% 11% 13% 5% 6% 8% 7% 11% 10% 8% 8% 11% 6% 19% 2%

I LM LM o U W

Donating to a nonprofithelping those affected byCOVID19

- - - - - - 172 114 57 64 57 33 17 35 25 110 59 69 44 110 59 33 4- - - - - - 8% 12% 6% 11% 11% 7% 4% 6% 8% 11% 9% 9% 7% 10% 7% 18% 6%

I LM LM N u w

Donating to a familymember / friend in need

- - - - - - 159 98 60 71 51 29 8 48 20 89 60 53 45 102 51 25 3- - - - - - 8% 10% 6% 12% 10% 6% 2% 8% 6% 9% 10% 7% 7% 9% 6% 14% 5%

I LM LM M u

Making homeimprovement(s)

- - - - - - 145 93 52 58 48 29 10 38 22 82 58 56 31 99 44 19 1- - - - - - 7% 9% 5% 10% 10% 6% 2% 6% 7% 9% 9% 8% 5% 9% 5% 10% 1%

I LM lM M S s U w

Putting it into myretirement savings

- - - - - - 111 78 33 56 36 13 6 21 15 75 48 42 21 75 36 23 *- - - - - - 5% 8% 3% 9% 7% 3% 1% 3% 4% 8% 8% 6% 3% 7% 4% 13% 1%

I LM LM No S s u W

Donating to hospital(s)

- - - - - - 95 70 25 52 28 10 4 20 6 68 30 34 30 58 36 12 1- - - - - - 5% 7% 2% 9% 6% 2% 1% 3% 2% 7% 5% 5% 5% 5% 4% 7% 2%

I LM LM NO

Booking a vacation(s)

- - - - - - 98 51 48 25 25 23 26 37 17 36 27 33 38 49 43 7 4- - - - - - 5% 5% 5% 4% 5% 5% 6% 6% 5% 4% 4% 5% 6% 4% 5% 4% 7%

p

Other

- - - - - - 417 165 252 69 86 117 145 152 76 141 114 151 152 227 180 19 17- - - - - - 21% 17% 24% 12% 17% 23% 34% 25% 23% 15% 18% 20% 23% 20% 22% 10% 29%

H J JK JKL P P V

N/A - I have not receivedmy stimulus check yet

- - - - - - 214 92 122 89 39 39 47 34 18 136 60 78 76 78 127 14 2- - - - - - 11% 9% 12% 15% 8% 8% 11% 6% 5% 14% 10% 11% 11% 7% 15% 8% 4%

KL NO T

N/A - I do not qualify forthe stimulus check

- - - - - - 3800 2068 1732 1342 1054 827 578 1143 598 1903 1173 1429 1198 2231 1481 436 84- - - - - - 187% 210% 166% 224% 209% 165% 136% 188% 180% 197% 188% 194% 179% 195% 177% 242% 148%

Sigma



20 Apr 2020Table 73REV01 Are you planning any major purchases once things return to normal and businesses re-open? Please select all that apply.






- - - 479 616 567 543 314 228 162 150 129 101 85 85 358 204 187 152 325 207 45 16- - - 24% 31% 28% 27% 32% 22% 27% 30% 26% 24% 14% 26% 37% 33% 25% 23% 28% 25% 25% 28%

DG D d I N NO RS

Going onvacation/travelling

- - - 386 533 418 375 208 167 184 107 47 37 110 54 202 104 140 131 221 152 45 6- - - 19% 27% 21% 18% 21% 16% 31% 21% 9% 9% 18% 16% 21% 17% 19% 20% 19% 18% 25% 11%

DFG I KLM LM w

Buying new clothes

- - - 338 389 367 339 175 165 133 102 58 46 89 47 196 104 137 98 221 114 45 13- - - 17% 19% 18% 17% 18% 16% 22% 20% 11% 11% 15% 14% 20% 17% 19% 15% 19% 14% 25% 24%

dg LM LM NO U

Buying new householdgoods, furniture orappliances

- - - 219 320 297 286 184 102 125 83 55 23 82 43 156 94 106 86 177 102 35 5- - - 11% 16% 15% 14% 19% 10% 21% 17% 11% 5% 14% 13% 16% 15% 14% 13% 15% 12% 19% 9%

D D D I LM LM M u

Buying a car

- - - 237 316 304 234 162 72 91 81 42 20 47 31 154 73 90 71 155 77 34 8- - - 12% 16% 15% 12% 16% 7% 15% 16% 8% 5% 8% 9% 16% 12% 12% 11% 14% 9% 19% 14%

DG DG I LM LM m NO U

Attending a concert orsporting event

- - - 238 326 289 220 143 77 105 73 30 13 51 28 138 75 76 69 139 78 37 3- - - 12% 16% 14% 11% 14% 7% 17% 14% 6% 3% 8% 8% 14% 12% 10% 10% 12% 9% 20% 5%

DG dG I LM LM m NO W

Buying gifts for myfriends/family

- - - 74 89 54 58 22 36 10 7 15 25 18 7 30 20 19 19 25 33 - -- - - 4% 4% 3% 3% 2% 3% 2% 1% 3% 6% 3% 2% 3% 3% 3% 3% 2% 4% - -

FG JKl t

Other major purchase

- - - 1020 818 891 928 358 570 196 196 277 260 313 158 363 277 329 322 491 405 72 21- - - 51% 41% 44% 46% 36% 55% 33% 39% 55% 61% 51% 47% 38% 45% 45% 48% 43% 49% 40% 37%

EFG E H j JK JK P P T

Not planning a purchase

- - - 2991 3406 3187 2984 1566 1417 1005 799 653 526 796 453 1596 951 1084 949 1753 1169 312 73- - - 148% 171% 158% 147% 159% 136% 168% 158% 130% 124% 131% 136% 165% 153% 147% 142% 153% 140% 173% 129%

Sigma



20 Apr 2020Table 74REV02 Once things return to normal and businesses reopen, would do any of the following to prepare for something like this in

the future? Please select all that apply.






- - - 1182 1118 1084 1037 524 513 331 289 252 166 314 165 512 323 406 308 592 432 105 29- - - 59% 56% 54% 51% 53% 49% 55% 57% 50% 39% 52% 50% 53% 52% 55% 46% 52% 52% 58% 51%

FG G M lM M s S

Keep more money insavings

- - - 643 652 697 616 306 310 180 162 152 123 189 88 295 200 227 190 367 234 78 12- - - 32% 33% 35% 30% 31% 30% 30% 32% 30% 29% 31% 27% 31% 32% 31% 28% 32% 28% 43% 21%

G W

Stockpile unperishablefoods

- - - 372 352 375 362 212 150 155 135 52 20 101 54 200 109 151 102 237 113 53 10- - - 18% 18% 19% 18% 21% 14% 26% 27% 10% 5% 17% 16% 21% 17% 21% 15% 21% 13% 29% 18%

I LM LM M n S U

Make improvements to myliving situation (e.g., moveto a larger residence,purchase better furniture)

- - - 220 250 235 203 147 56 85 58 43 16 59 34 104 69 56 77 128 70 19 2- - - 11% 13% 12% 10% 15% 5% 14% 11% 9% 4% 10% 10% 11% 11% 8% 12% 11% 8% 10% 3%

G I LM M M r R u

Purchase a gun

- - - 147 188 170 181 122 59 89 61 15 17 39 34 105 67 59 54 114 62 24 7- - - 7% 9% 8% 9% 12% 6% 15% 12% 3% 4% 6% 10% 11% 11% 8% 8% 10% 7% 13% 12%

d I LM LM n N

Remodel my kitchen

- - - 85 63 54 51 25 27 4 2 22 23 15 13 17 11 16 24 35 17 2 -- - - 4% 3% 3% 3% 2% 3% 1% * 4% 5% 2% 4% 2% 2% 2% 4% 3% 2% 1% -

FG JK JK p q

Something else

- - - 453 513 554 580 238 342 118 107 167 187 161 102 263 180 184 215 299 260 31 17- - - 22% 26% 28% 29% 24% 33% 20% 21% 33% 44% 26% 31% 27% 29% 25% 32% 26% 31% 17% 30%

d D D H JK JKL R T v

None of these

- - - 3101 3136 3169 3030 1573 1456 962 813 703 552 879 490 1497 959 1100 971 1771 1187 311 76- - - 154% 157% 157% 149% 159% 140% 161% 161% 140% 130% 144% 148% 155% 154% 149% 145% 155% 142% 172% 134%

Sigma



20 Apr 2020Table 75Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Concerned





2050 2019 2023 - 1993 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base2050 2019 2023 -** 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

1730 1705 1845 - 1820 1787 1825 879 945 489 450 470 415 537 291 890 560 678 587 1036 753 166 5384% 84% 91% - 91% 89% 90% 89% 91% 82% 89% 93% 98% 88% 88% 92% 90% 92% 88% 90% 90% 92% 94%

ABF ABF AB AB J JK JKL NO S

The American economy

1771 1747 1827 - 1800 1778 1779 847 931 491 435 455 397 523 295 854 526 670 582 1002 745 164 5486% 87% 90% - 90% 88% 88% 86% 89% 82% 86% 91% 94% 86% 89% 89% 84% 91% 87% 88% 89% 91% 95%

ABG ABG H Jk JK QS

The health of your olderfriends and relatives

1616 1647 1759 - 1743 1677 1681 791 890 440 415 438 388 482 283 813 486 654 541 966 683 149 5279% 82% 87% - 87% 83% 83% 80% 85% 74% 82% 87% 91% 79% 85% 84% 78% 89% 81% 84% 82% 83% 91%

a ABFG ABFG A A H J Jk JKl N N QS

The health of the broaderAmerican populace

1330 1336 1523 - 1543 1504 1478 709 768 420 367 367 324 439 253 704 418 593 467 843 606 147 4465% 66% 75% - 77% 75% 73% 72% 74% 70% 73% 73% 76% 72% 76% 73% 67% 81% 70% 74% 73% 81% 78%

AB ABG AB AB j QS

Your personal health

- - - - 1494 1469 1412 682 731 427 397 348 240 450 231 657 392 555 465 818 562 148 34- - - - 75% 73% 70% 69% 70% 71% 79% 69% 57% 74% 70% 68% 63% 75% 69% 71% 67% 82% 59%

G g M JLM M P QS Q W

Your personal finances



20 Apr 2020Table 76Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Not At All/Not Very Concerned






- - - - 499 544 617 306 311 171 107 155 184 159 101 308 232 180 205 326 273 33 23- - - - 25% 27% 30% 31% 30% 29% 21% 31% 43% 26% 30% 32% 37% 25% 31% 29% 33% 18% 41%

Ef K K JKL N RS R V


720 683 500 - 450 509 551 278 273 178 137 136 101 170 79 261 206 142 203 301 229 34 1335% 34% 25% - 23% 25% 27% 28% 26% 30% 27% 27% 24% 28% 24% 27% 33% 19% 30% 26% 27% 19% 22%

CEFG CEFG E m R R


434 372 264 - 250 336 348 196 152 157 89 65 37 128 49 153 137 82 129 178 152 31 521% 18% 13% - 13% 17% 17% 20% 15% 26% 18% 13% 9% 21% 15% 16% 22% 11% 19% 16% 18% 17% 9%

bCEFG CE CE CE I KLM lM m OP R R

The health of the broaderAmerican populace

279 272 196 - 193 235 250 140 110 107 69 47 27 86 37 111 97 65 88 143 91 16 314% 13% 10% - 10% 12% 12% 14% 11% 18% 14% 9% 6% 14% 11% 11% 16% 9% 13% 12% 11% 9% 5%CE CE CE I LM lM R R

The health of your olderfriends and relatives

320 314 178 - 173 226 204 108 96 108 55 33 9 72 40 75 64 58 83 109 83 14 416% 16% 9% - 9% 11% 10% 11% 9% 18% 11% 7% 2% 12% 12% 8% 10% 8% 12% 10% 10% 8% 6%

CEFG CEFG CE KLM LM M P P R




20 Apr 2020Table 77Q15_1 How concerned are you about the impact coronavirus (COVID-19) has on the following?







1330 1336 1523 - 1543 1504 1478 709 768 420 367 367 324 439 253 704 418 593 467 843 606 147 4465% 66% 75% - 77% 75% 73% 72% 74% 70% 73% 73% 76% 72% 76% 73% 67% 81% 70% 74% 73% 81% 78%

AB ABG AB AB j QS


624 660 800 - 862 801 749 355 394 228 205 158 159 239 123 360 188 361 201 450 277 93 2630% 33% 40% - 43% 40% 37% 36% 38% 38% 41% 31% 37% 39% 37% 37% 30% 49% 30% 39% 33% 52% 46%

AB ABcfG AB AB L L QS U

Very concerned

706 676 723 - 681 703 728 354 374 191 162 209 165 200 129 344 230 232 266 393 329 53 1834% 33% 36% - 34% 35% 36% 36% 36% 32% 32% 42% 39% 33% 39% 36% 37% 32% 40% 34% 39% 30% 32%

JK jk n r R t

Somewhat concerned

720 683 500 - 450 509 551 278 273 178 137 136 101 170 79 261 206 142 203 301 229 34 1335% 34% 25% - 23% 25% 27% 28% 26% 30% 27% 27% 24% 28% 24% 27% 33% 19% 30% 26% 27% 19% 22%

CEFG CEFG E m R R


535 487 359 - 331 372 383 193 191 111 96 97 80 117 59 182 142 105 136 218 161 26 826% 24% 18% - 17% 18% 19% 20% 18% 18% 19% 19% 19% 19% 18% 19% 23% 14% 20% 19% 19% 15% 14%

CEFG CEFG R R

Not very concerned

186 197 141 - 119 137 168 85 83 68 41 38 21 53 20 80 64 37 67 84 68 8 59% 10% 7% - 6% 7% 8% 9% 8% 11% 8% 8% 5% 9% 6% 8% 10% 5% 10% 7% 8% 4% 8%

cEF CEF E lM R R


2050 2019 2023 - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The health of your older friends and relatives






1771 1747 1827 - 1800 1778 1779 847 931 491 435 455 397 523 295 854 526 670 582 1002 745 164 5486% 87% 90% - 90% 88% 88% 86% 89% 82% 86% 91% 94% 86% 89% 89% 84% 91% 87% 88% 89% 91% 95%

ABG ABG H Jk JK QS


1034 1089 1251 - 1211 1124 1091 492 600 312 295 269 216 327 193 519 279 489 323 620 451 105 2950% 54% 62% - 61% 56% 54% 50% 58% 52% 58% 54% 51% 54% 58% 54% 45% 66% 48% 54% 54% 58% 50%

a ABFG ABFG A a H jm QS

Very concerned

737 658 576 - 588 654 687 355 332 179 141 186 182 196 102 336 247 181 259 382 294 59 2636% 33% 28% - 30% 32% 34% 36% 32% 30% 28% 37% 43% 32% 31% 35% 40% 25% 39% 33% 35% 33% 45%

bCEf C C CE JK JK R R

Somewhat concerned

279 272 196 - 193 235 250 140 110 107 69 47 27 86 37 111 97 65 88 143 91 16 314% 13% 10% - 10% 12% 12% 14% 11% 18% 14% 9% 6% 14% 11% 11% 16% 9% 13% 12% 11% 9% 5%CE CE CE I LM lM R R


183 176 129 - 136 173 167 90 77 70 41 36 21 58 28 75 72 42 54 101 61 12 19% 9% 6% - 7% 9% 8% 9% 7% 12% 8% 7% 5% 9% 8% 8% 11% 6% 8% 9% 7% 7% 3%

Ce Ce Ce c LM Rs

Not very concerned

96 95 67 - 57 62 84 50 34 37 28 12 6 28 9 36 26 24 34 42 30 4 15% 5% 3% - 3% 3% 4% 5% 3% 6% 6% 2% 2% 5% 3% 4% 4% 3% 5% 4% 4% 2% 2%

cEF cEF e i LM LM


2050 2019 2023 - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The health of the broader American populace






1616 1647 1759 - 1743 1677 1681 791 890 440 415 438 388 482 283 813 486 654 541 966 683 149 5279% 82% 87% - 87% 83% 83% 80% 85% 74% 82% 87% 91% 79% 85% 84% 78% 89% 81% 84% 82% 83% 91%

a ABFG ABFG A A H J Jk JKl N N QS


690 774 998 - 1011 878 808 371 437 216 227 197 168 239 136 396 199 382 227 472 320 87 2434% 38% 49% - 51% 44% 40% 38% 42% 36% 45% 39% 39% 39% 41% 41% 32% 52% 34% 41% 38% 48% 42%

A ABFG ABFG ABg A J QS

Very concerned

926 872 761 - 733 799 873 420 453 224 188 240 220 242 147 416 287 272 314 495 363 63 2845% 43% 38% - 37% 40% 43% 43% 44% 37% 37% 48% 52% 40% 44% 43% 46% 37% 47% 43% 43% 35% 49%

CEF CEf CEf JK JK R R

Somewhat concerned

434 372 264 - 250 336 348 196 152 157 89 65 37 128 49 153 137 82 129 178 152 31 521% 18% 13% - 13% 17% 17% 20% 15% 26% 18% 13% 9% 21% 15% 16% 22% 11% 19% 16% 18% 17% 9%

bCEFG CE CE CE I KLM lM m OP R R


314 252 198 - 176 237 257 141 116 109 67 51 29 90 36 121 102 58 97 136 113 27 415% 12% 10% - 9% 12% 13% 14% 11% 18% 13% 10% 7% 15% 11% 13% 16% 8% 14% 12% 14% 15% 7%

BCEFg CE E CE i kLM M R R

Not very concerned

120 120 65 - 74 99 91 56 36 48 22 14 7 37 12 32 35 24 32 42 39 4 16% 6% 3% - 4% 5% 4% 6% 3% 8% 4% 3% 2% 6% 4% 3% 6% 3% 5% 4% 5% 2% 2%

CE CEg C c I KLM m P r


2050 2019 2023 - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










1730 1705 1845 - 1820 1787 1825 879 945 489 450 470 415 537 291 890 560 678 587 1036 753 166 5384% 84% 91% - 91% 89% 90% 89% 91% 82% 89% 93% 98% 88% 88% 92% 90% 92% 88% 90% 90% 92% 94%

ABF ABF AB AB J JK JKL NO S


893 986 1287 - 1251 1184 1139 529 610 279 299 295 266 318 194 561 348 458 334 668 447 111 4044% 49% 64% - 63% 59% 56% 54% 59% 47% 59% 59% 63% 52% 58% 58% 56% 62% 50% 58% 53% 62% 70%

A ABFG ABFG AB AB h J J J n s QS u

Very concerned

836 719 558 - 569 603 685 350 335 210 150 175 150 219 98 328 212 220 253 368 306 55 1441% 36% 28% - 29% 30% 34% 35% 32% 35% 30% 35% 35% 36% 29% 34% 34% 30% 38% 32% 37% 31% 24%

BCEFG CEF CEF o R t

Somewhat concerned

320 314 178 - 173 226 204 108 96 108 55 33 9 72 40 75 64 58 83 109 83 14 416% 16% 9% - 9% 11% 10% 11% 9% 18% 11% 7% 2% 12% 12% 8% 10% 8% 12% 10% 10% 8% 6%

CEFG CEFG CE KLM LM M P P R


225 220 99 - 116 170 132 67 65 70 37 19 7 44 29 50 43 40 50 77 50 10 211% 11% 5% - 6% 8% 7% 7% 6% 12% 7% 4% 2% 7% 9% 5% 7% 5% 7% 7% 6% 6% 4%

CEFG CEFG CEg c KLM LM p

Not very concerned

95 94 80 - 57 55 72 41 31 39 18 14 2 28 11 25 21 18 33 32 33 4 15% 5% 4% - 3% 3% 4% 4% 3% 6% 4% 3% * 5% 3% 3% 3% 2% 5% 3% 4% 2% 2%

EF EF f kLM M M p R


2050 2019 2023 - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - 1494 1469 1412 682 731 427 397 348 240 450 231 657 392 555 465 818 562 148 34- - - - 75% 73% 70% 69% 70% 71% 79% 69% 57% 74% 70% 68% 63% 75% 69% 71% 67% 82% 59%

G g M JLM M P QS Q W


- - - - 870 772 678 335 344 222 208 176 72 224 105 322 187 290 201 415 243 83 12- - - - 44% 38% 33% 34% 33% 37% 41% 35% 17% 37% 32% 33% 30% 39% 30% 36% 29% 46% 21%

FG G M lM M QS U W

Very concerned

- - - - 624 697 734 347 387 205 189 172 168 225 126 335 205 265 264 403 319 64 22- - - - 31% 35% 36% 35% 37% 34% 38% 34% 40% 37% 38% 35% 33% 36% 39% 35% 38% 36% 38%

e E Q

Somewhat concerned

- - - - 499 544 617 306 311 171 107 155 184 159 101 308 232 180 205 326 273 33 23- - - - 25% 27% 30% 31% 30% 29% 21% 31% 43% 26% 30% 32% 37% 25% 31% 29% 33% 18% 41%

Ef K K JKL N RS R V


- - - - 354 392 405 191 214 104 71 105 125 97 70 206 159 125 121 221 178 16 12- - - - 18% 19% 20% 19% 21% 17% 14% 21% 29% 16% 21% 21% 26% 17% 18% 19% 21% 9% 22%

K JKL n N RS V

Not very concerned

- - - - 144 152 212 114 97 67 36 50 59 62 31 102 72 55 84 106 96 17 11- - - - 7% 8% 10% 12% 9% 11% 7% 10% 14% 10% 9% 11% 12% 8% 13% 9% 11% 9% 19%

EF k K R R


- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 82Q16 Do you think you are going to get coronavirus (COVID-19)?





2050 2019 2023 2016 - 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base2050 2019 2023 2016 -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

327 358 398 340 - 335 340 190 150 111 119 64 45 67 52 211 79 139 121 207 125 47 616% 18% 20% 17% - 17% 17% 19% 14% 19% 24% 13% 11% 11% 16% 22% 13% 19% 18% 18% 15% 26% 11%

Adfg I LM LM n NO Q Q w

Yes

- - - 104 - 101 130 78 52 65 36 17 11 36 22 67 32 45 52 86 33 16 3- - - 5% - 5% 6% 8% 5% 11% 7% 3% 3% 6% 7% 7% 5% 6% 8% 8% 4% 9% 6%

ABC ABC ABC I kLM LM U

I already have it or think Ido

1723 1661 1625 1573 - 1577 1560 720 840 422 350 421 368 506 257 687 512 552 497 851 678 118 4884% 82% 80% 78% - 78% 77% 73% 81% 71% 69% 84% 87% 83% 78% 71% 82% 75% 74% 74% 81% 65% 84%

CDFG DFG G H JK JK oP p RS T V

No

2050 2019 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 83Q17 Which of the following are true for you regarding coronavirus (COVID-19)?





2050 2019 2023 2016 - - 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base2050 2019 2023 2016 -** -** 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

100 103 99 120 - - 124 98 26 47 55 16 6 29 20 74 50 46 28 92 31 30 -5% 5% 5% 6% - - 6% 10% 2% 8% 11% 3% 1% 5% 6% 8% 8% 6% 4% 8% 4% 16% -

I LM LM n S U W

I have been tested forcoronavirus

343 389 338 332 - - 475 264 211 150 115 106 104 117 73 256 136 179 160 292 171 51 1017% 19% 17% 16% - - 23% 27% 20% 25% 23% 21% 25% 19% 22% 26% 22% 24% 24% 26% 20% 28% 17%

d ABCD I N U

I have not been tested forcoronavirus, but think Ishould

1505 1428 1463 1447 - - 1311 584 727 347 307 356 301 416 229 604 410 491 410 716 581 89 4473% 71% 72% 72% - - 65% 59% 70% 58% 61% 71% 71% 68% 69% 63% 66% 67% 61% 63% 70% 49% 78%G G G G H JK JK p p s T V

I have not been tested forcoronavirus, and don’tthink I should

102 99 123 117 - - 119 42 77 53 27 26 14 47 10 31 27 19 72 44 53 10 35% 5% 6% 6% - - 6% 4% 7% 9% 5% 5% 3% 8% 3% 3% 4% 3% 11% 4% 6% 6% 6%

H kLM OP QR T

Decline to answer

2050 2019 2023 2016 - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 84Q18 Which of the following is true for you?





2050 2019 2023 2016 1993 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

563 572 712 865 1113 950 897 414 483 238 226 217 216 280 148 435 224 396 277 542 336 78 3327% 28% 35% 43% 56% 47% 44% 42% 46% 40% 45% 43% 51% 46% 45% 45% 36% 54% 41% 47% 40% 43% 57%

AB ABC ABCDFG ABCD ABC Jl QS U

I fear I could die as aresult of contractingcoronavirus

1487 1447 1311 1151 880 1063 1132 573 559 360 278 286 208 329 184 530 399 339 393 603 499 102 2473% 72% 65% 57% 44% 53% 56% 58% 54% 60% 55% 57% 49% 54% 55% 55% 64% 46% 59% 53% 60% 57% 43%

CDEFG CDEFG DEFG EF E E M m R R T

I do not fear that I coulddie as a result ofcontracting coronavirus

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma

__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. * small base


20 Apr 2020Table 85Q19 Do you...?





2050 2019 2023 - - - 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base2050 2019 2023 -** -** -** 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

1599 1567 1519 - - - 1450 735 715 413 338 357 343 439 235 690 478 512 460 811 608 131 3778% 78% 75% - - - 71% 74% 69% 69% 67% 71% 81% 72% 71% 71% 77% 70% 69% 71% 73% 73% 66%cG G G I JKL RS

Believe coronavirus will becontained

451 452 504 - - - 579 252 327 184 166 146 82 170 97 276 145 224 210 333 227 49 2022% 22% 25% - - - 29% 26% 31% 31% 33% 29% 19% 28% 29% 29% 23% 30% 31% 29% 27% 27% 34%

a ABC H M M M Q Q

Believe coronavirus willnot be contained

2050 2019 2023 - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 86Q21 Which of the following is closest to your view of people’s reaction to the coronavirus (COVID-19) outbreak?






942 1012 1236 1375 1571 1505 1492 698 795 411 362 372 347 434 261 717 405 623 465 845 622 140 4646% 50% 61% 68% 79% 75% 74% 71% 76% 69% 72% 74% 82% 71% 79% 74% 65% 85% 69% 74% 74% 78% 81%

A AB ABC ABCDFG ABCD ABCD H JKL N QS

I think the amount of fearis sensible given howserious the pandemic hasbecome

1108 1007 787 641 422 508 537 290 247 187 142 131 77 175 71 249 219 113 205 299 213 40 1154% 50% 39% 32% 21% 25% 26% 29% 24% 31% 28% 26% 18% 29% 21% 26% 35% 15% 31% 26% 26% 22% 19%

BCDEFG CDEFG DEFG EFG E E I M M M O R R

The amount of fear isirrational, people areoverreacting

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 87Q14 How much do you agree or disagree with each of the following?

Summary Of Strongly/Somewhat Agree





- - - 2016 - - 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** -** 2016 -** -** 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - - 1840 - - 1826 863 963 488 457 473 409 539 297 879 551 671 605 1031 757 160 52- - - 91% - - 90% 87% 92% 82% 91% 94% 96% 89% 89% 91% 88% 91% 90% 90% 91% 89% 92%

H J Jk JK

Americans have aresponsibility to eachother to take preventativemeasures (e.g.,self-quarantining, washinghands frequently) to limitthe spread of COVID-19.

- - - 1837 - - 1799 849 949 471 446 478 404 526 304 857 544 667 588 1013 753 169 50- - - 91% - - 89% 86% 91% 79% 88% 95% 95% 86% 92% 89% 87% 91% 88% 89% 90% 93% 89%

G H J JK JK N q

Americans have aresponsibility to each otherto perform socialdistancing to limit thespread of COVID-19.

- - - 1810 - - 1762 819 942 467 424 467 404 503 294 852 544 652 566 986 740 156 53- - - 90% - - 87% 83% 90% 78% 84% 93% 95% 83% 89% 88% 87% 89% 84% 86% 89% 87% 93%

G H J JK JK N N s

Americans who do notsocially distancethemselves from others areputting others at risk.

- - - 1817 - - 1753 823 930 463 429 461 400 508 297 840 528 661 564 995 729 160 48- - - 90% - - 86% 83% 89% 77% 85% 92% 94% 83% 90% 87% 85% 90% 84% 87% 87% 89% 84%

G H J JK JK N n QS

Americans who refuse tofollow CDC/Local PublicHealth guidelines areputting others at risk.

- - - 1810 - - 1738 805 933 480 420 445 394 509 290 834 522 659 557 968 730 160 49- - - 90% - - 86% 82% 90% 80% 83% 88% 93% 84% 87% 86% 84% 90% 83% 85% 87% 88% 87%

G H JK JKl QS

The most patriotic thingwe as Americans can dofor our country right now,is to make a nationalsacrifice to stay home forthe welfare of others.__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


20 Apr 2020Table 88Q14 How much do you agree or disagree with each of the following?

Summary Of Strongly/Somewhat Disagree






- - - 206 - - 291 182 109 118 85 58 30 100 42 131 101 77 113 176 105 21 8- - - 10% - - 14% 18% 10% 20% 17% 12% 7% 16% 13% 14% 16% 10% 17% 15% 13% 12% 13%

D I LM LM m R R

The most patriotic thingwe as Americans can dofor our country right now,is to make a nationalsacrifice to stay home forthe welfare of others.

- - - 199 - - 276 164 112 135 76 42 24 101 34 125 95 74 106 150 106 20 9- - - 10% - - 14% 17% 11% 23% 15% 8% 6% 17% 10% 13% 15% 10% 16% 13% 13% 11% 16%

D I KLM LM Op R R

Americans who refuse tofollow CDC/Local PublicHealth guidelines areputting others at risk.

- - - 206 - - 267 168 99 130 80 36 21 106 38 113 80 83 104 159 96 24 4- - - 10% - - 13% 17% 10% 22% 16% 7% 5% 17% 11% 12% 13% 11% 16% 14% 11% 13% 7%

D I KLM LM OP r

Americans who do notsocially distancethemselves from others areputting others at risk.

- - - 179 - - 230 138 93 127 58 25 20 83 28 108 80 69 82 131 82 12 7- - - 9% - - 11% 14% 9% 21% 12% 5% 5% 14% 8% 11% 13% 9% 12% 11% 10% 7% 11%

D I KLM LM O r

Americans have aresponsibility to each otherto perform socialdistancing to limit thespread of COVID-19.

- - - 176 - - 203 124 78 110 48 30 15 70 35 86 73 65 65 113 79 20 5- - - 9% - - 10% 13% 8% 18% 9% 6% 4% 11% 11% 9% 12% 9% 10% 10% 9% 11% 8%

I KLM lM

Americans have aresponsibility to each otherto take preventativemeasures (e.g.,self-quarantining, washinghands frequently) to limitthe spread of COVID-19.__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


20 Apr 2020Table 89Q14_1 How much do you agree or disagree with each of the following?

Americans have a responsibility to each other to perform social distancing to limit the spread of COVID-19.






- - - 1837 - - 1799 849 949 471 446 478 404 526 304 857 544 667 588 1013 753 169 50- - - 91% - - 89% 86% 91% 79% 88% 95% 95% 86% 92% 89% 87% 91% 88% 89% 90% 93% 89%

G H J JK JK N q

Strongly/Somewhat Agree(Net)

- - - 1449 - - 1343 581 762 307 331 375 330 393 232 637 366 563 415 743 575 127 42- - - 72% - - 66% 59% 73% 51% 66% 75% 78% 65% 70% 66% 59% 76% 62% 65% 69% 71% 73%

G H J JK JK QS

Strongly agree

- - - 387 - - 455 268 187 164 115 102 74 133 72 220 177 104 174 270 179 41 9- - - 19% - - 22% 27% 18% 27% 23% 20% 17% 22% 22% 23% 28% 14% 26% 24% 21% 23% 15%

D I LM R R

Somewhat agree

- - - 179 - - 230 138 93 127 58 25 20 83 28 108 80 69 82 131 82 12 7- - - 9% - - 11% 14% 9% 21% 12% 5% 5% 14% 8% 11% 13% 9% 12% 11% 10% 7% 11%

D I KLM LM O r

Strongly/SomewhatDisagree (Net)

- - - 110 - - 136 79 57 83 32 14 7 50 19 61 46 45 44 70 54 7 7- - - 5% - - 7% 8% 5% 14% 6% 3% 2% 8% 6% 6% 7% 6% 7% 6% 6% 4% 11%

i KLM LM v

Somewhat disagree

- - - 69 - - 95 59 36 44 27 11 13 33 9 47 33 24 38 61 28 5 -- - - 3% - - 5% 6% 3% 7% 5% 2% 3% 5% 3% 5% 5% 3% 6% 5% 3% 3% -

I LM L o r u

Strongly disagree

- - - 2016 - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Americans have a responsibility to each other to take preventative measures (e.g., self-quarantining, washing hands frequently) to limit the spread of COVID-19.






- - - 1840 - - 1826 863 963 488 457 473 409 539 297 879 551 671 605 1031 757 160 52- - - 91% - - 90% 87% 92% 82% 91% 94% 96% 89% 89% 91% 88% 91% 90% 90% 91% 89% 92%

H J Jk JK


- - - 1493 - - 1386 598 787 326 344 371 345 407 244 654 391 556 438 780 580 122 44- - - 74% - - 68% 61% 76% 55% 68% 74% 81% 67% 73% 68% 63% 76% 65% 68% 69% 68% 77%

G H J J JKL n QS

Strongly agree

- - - 347 - - 441 265 176 162 113 102 64 132 53 225 159 115 166 251 177 38 8- - - 17% - - 22% 27% 17% 27% 22% 20% 15% 22% 16% 23% 26% 16% 25% 22% 21% 21% 15%

D I LM M m o O R R

Somewhat agree

- - - 176 - - 203 124 78 110 48 30 15 70 35 86 73 65 65 113 79 20 5- - - 9% - - 10% 13% 8% 18% 9% 6% 4% 11% 11% 9% 12% 9% 10% 10% 9% 11% 8%

I KLM lM


- - - 98 - - 118 70 48 68 26 20 4 43 19 51 37 42 39 66 44 9 5- - - 5% - - 6% 7% 5% 11% 5% 4% 1% 7% 6% 5% 6% 6% 6% 6% 5% 5% 8%

i KLM M M

Somewhat disagree

- - - 78 - - 84 54 30 41 21 10 12 27 16 35 36 23 26 47 34 11 -- - - 4% - - 4% 5% 3% 7% 4% 2% 3% 4% 5% 4% 6% 3% 4% 4% 4% 6% -

I LM l R

Strongly disagree

- - - 2016 - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Americans who do not socially distance themselves from others are putting others at risk.






- - - 1810 - - 1762 819 942 467 424 467 404 503 294 852 544 652 566 986 740 156 53- - - 90% - - 87% 83% 90% 78% 84% 93% 95% 83% 89% 88% 87% 89% 84% 86% 89% 87% 93%

G H J JK JK N N s


- - - 1411 - - 1281 536 744 307 304 349 321 363 239 608 348 540 393 699 557 114 41- - - 70% - - 63% 54% 71% 51% 60% 69% 76% 60% 72% 63% 56% 73% 59% 61% 67% 63% 72%

G H J JK JKl NP QS T

Strongly agree

- - - 399 - - 481 283 198 160 120 118 83 140 55 244 196 112 173 286 182 42 12- - - 20% - - 24% 29% 19% 27% 24% 24% 19% 23% 17% 25% 31% 15% 26% 25% 22% 23% 21%

D I M O O Rs R

Somewhat agree

- - - 206 - - 267 168 99 130 80 36 21 106 38 113 80 83 104 159 96 24 4- - - 10% - - 13% 17% 10% 22% 16% 7% 5% 17% 11% 12% 13% 11% 16% 14% 11% 13% 7%

D I KLM LM OP r


- - - 130 - - 152 87 66 76 42 26 9 66 25 56 49 39 64 94 53 9 4- - - 6% - - 8% 9% 6% 13% 8% 5% 2% 11% 7% 6% 8% 5% 10% 8% 6% 5% 7%

i kLM lM M P R

Somewhat disagree

- - - 76 - - 115 81 34 54 39 10 12 41 13 57 31 45 40 65 42 15 -- - - 4% - - 6% 8% 3% 9% 8% 2% 3% 7% 4% 6% 5% 6% 6% 6% 5% 8% -

D I LM LM w

Strongly disagree

- - - 2016 - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Americans who refuse to follow CDC/Local Public Health guidelines are putting others at risk.






- - - 1817 - - 1753 823 930 463 429 461 400 508 297 840 528 661 564 995 729 160 48- - - 90% - - 86% 83% 89% 77% 85% 92% 94% 83% 90% 87% 85% 90% 84% 87% 87% 89% 84%

G H J JK JK N n QS


- - - 1425 - - 1314 572 742 304 312 361 336 368 244 631 359 559 396 746 546 131 36- - - 71% - - 65% 58% 71% 51% 62% 72% 79% 60% 74% 65% 58% 76% 59% 65% 65% 73% 64%

G H J JK JKL NP n QS

Strongly agree

- - - 392 - - 440 252 188 159 117 99 65 140 53 209 169 103 168 248 183 29 12- - - 19% - - 22% 25% 18% 27% 23% 20% 15% 23% 16% 22% 27% 14% 25% 22% 22% 16% 20%

I LM M O o R R

Somewhat agree

- - - 199 - - 276 164 112 135 76 42 24 101 34 125 95 74 106 150 106 20 9- - - 10% - - 14% 17% 11% 23% 15% 8% 6% 17% 10% 13% 15% 10% 16% 13% 13% 11% 16%

D I KLM LM Op R R


- - - 129 - - 175 101 74 86 45 30 14 63 26 77 56 48 70 95 68 14 7- - - 6% - - 9% 10% 7% 14% 9% 6% 3% 10% 8% 8% 9% 7% 11% 8% 8% 8% 12%

D I KLM M R

Somewhat disagree

- - - 70 - - 101 63 38 48 31 12 10 38 8 48 39 26 36 55 38 7 2- - - 3% - - 5% 6% 4% 8% 6% 2% 2% 6% 3% 5% 6% 4% 5% 5% 5% 4% 4%

d I LM LM O r

Strongly disagree

- - - 2016 - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The most patriotic thing we as Americans can do for our country right now, is to make a national sacrifice to stay home for the welfare of others.






- - - 1810 - - 1738 805 933 480 420 445 394 509 290 834 522 659 557 968 730 160 49- - - 90% - - 86% 82% 90% 80% 83% 88% 93% 84% 87% 86% 84% 90% 83% 85% 87% 88% 87%

G H JK JKl QS


- - - 1334 - - 1205 495 710 284 290 320 311 348 221 567 339 508 358 682 505 110 38- - - 66% - - 59% 50% 68% 48% 57% 64% 73% 57% 66% 59% 54% 69% 53% 60% 60% 61% 67%

G H J Jk JKL NP QS

Strongly agree

- - - 476 - - 534 311 223 196 130 125 83 161 69 267 183 151 200 286 225 50 11- - - 24% - - 26% 31% 21% 33% 26% 25% 20% 26% 21% 28% 29% 21% 30% 25% 27% 28% 20%

I KLM m O R R

Somewhat agree

- - - 206 - - 291 182 109 118 85 58 30 100 42 131 101 77 113 176 105 21 8- - - 10% - - 14% 18% 10% 20% 17% 12% 7% 16% 13% 14% 16% 10% 17% 15% 13% 12% 13%

D I LM LM m R R


- - - 135 - - 186 116 70 78 53 39 17 59 31 85 61 50 75 109 73 15 8- - - 7% - - 9% 12% 7% 13% 11% 8% 4% 10% 9% 9% 10% 7% 11% 10% 9% 8% 13%

D I LM M M r R

Somewhat disagree

- - - 71 - - 104 65 39 40 31 19 14 41 11 46 40 27 37 67 32 6 -- - - 4% - - 5% 7% 4% 7% 6% 4% 3% 7% 3% 5% 6% 4% 6% 6% 4% 3% -

D I lm m o R u

Strongly disagree

- - - 2016 - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 94Q15 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirus

outbreak?

Summary Of Willing To Do






- - - 1777 1797 1750 1738 832 906 496 438 423 382 496 297 843 528 654 555 958 742 156 52- - - 88% 90% 87% 86% 84% 87% 83% 87% 84% 90% 81% 90% 87% 85% 89% 83% 84% 89% 87% 91%

g FG JL N N qS T

Quarantine indoors

- - - 1786 1713 1680 1728 808 921 461 411 452 405 496 295 834 541 630 558 966 728 136 52- - - 89% 86% 83% 85% 82% 88% 77% 81% 90% 95% 81% 89% 86% 87% 86% 83% 84% 87% 75% 91%

EFG f H JK JKL N N v

Stop hoarding items (e.g.,toilet paper, cleaningproducts)

- - - 1776 1781 1714 1658 767 891 449 407 426 376 479 276 812 510 635 514 961 670 136 49- - - 88% 89% 85% 82% 78% 86% 75% 81% 85% 89% 79% 83% 84% 82% 86% 77% 84% 80% 75% 86%

FG FG G H j J JK N s qS u

Stop all travel domestically

- - - 1447 1498 1367 1385 683 703 399 335 336 315 389 224 691 410 520 454 785 578 124 44- - - 72% 75% 68% 68% 69% 67% 67% 66% 67% 74% 64% 68% 72% 66% 71% 68% 69% 69% 69% 78%

Fg dFG JKl N

Be put on a rationsprogram for certain goods

- - - 866 849 787 802 470 332 262 228 158 155 182 113 471 262 309 231 470 314 84 18- - - 43% 43% 39% 40% 48% 32% 44% 45% 31% 37% 30% 34% 49% 42% 42% 34% 41% 38% 47% 31%

fg f I Lm LM NO S S

Donate my portion of thestimulus package to ahospital__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


20 Apr 2020Table 95Q15 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirus

outbreak?

Summary Of Not Willing To Do






- - - 1150 1144 1226 1227 518 710 336 277 345 269 427 219 494 362 426 439 675 522 96 39- - - 57% 57% 61% 60% 52% 68% 56% 55% 69% 63% 70% 66% 51% 58% 58% 66% 59% 62% 53% 69%

de d H JK jK P P QR

Donate my portion of thestimulus package to ahospital

- - - 569 495 646 644 305 339 199 170 166 109 220 107 274 213 215 216 359 258 57 13- - - 28% 25% 32% 32% 31% 33% 33% 34% 33% 26% 36% 32% 28% 34% 29% 32% 31% 31% 31% 22%

e DE dE M M m P

Be put on a rationsprogram for certain goods

- - - 240 212 299 371 220 150 148 98 76 48 130 56 153 113 101 156 184 166 44 8- - - 12% 11% 15% 18% 22% 14% 25% 19% 15% 11% 21% 17% 16% 18% 14% 23% 16% 20% 25% 14%

DE DEF I kLM M P r qR t


- - - 230 280 333 301 179 121 137 94 51 20 113 37 131 83 106 112 178 107 45 5- - - 11% 14% 17% 15% 18% 12% 23% 19% 10% 5% 19% 11% 14% 13% 14% 17% 16% 13% 25% 9%

D De D I LM LM M OP w

Stop hoarding items (e.g.,toilet paper, cleaningproducts)

- - - 239 196 263 291 155 136 102 67 80 43 113 35 122 95 82 115 186 93 24 5- - - 12% 10% 13% 14% 16% 13% 17% 13% 16% 10% 19% 10% 13% 15% 11% 17% 16% 11% 13% 9%

E dE M M OP r R U

Quarantine indoors



20 Apr 2020Table 96Q15_1 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirus

outbreak?

Quarantine indoors






- - - 1777 1797 1750 1738 832 906 496 438 423 382 496 297 843 528 654 555 958 742 156 52- - - 88% 90% 87% 86% 84% 87% 83% 87% 84% 90% 81% 90% 87% 85% 89% 83% 84% 89% 87% 91%

g FG JL N N qS T

Willing to do

- - - 239 196 263 291 155 136 102 67 80 43 113 35 122 95 82 115 186 93 24 5- - - 12% 10% 13% 14% 16% 13% 17% 13% 16% 10% 19% 10% 13% 15% 11% 17% 16% 11% 13% 9%

E dE M M OP r R U

Not willing to do

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Stop hoarding items (e.g., toilet paper, cleaning products)






- - - 1786 1713 1680 1728 808 921 461 411 452 405 496 295 834 541 630 558 966 728 136 52- - - 89% 86% 83% 85% 82% 88% 77% 81% 90% 95% 81% 89% 86% 87% 86% 83% 84% 87% 75% 91%

EFG f H JK JKL N N v

Willing to do

- - - 230 280 333 301 179 121 137 94 51 20 113 37 131 83 106 112 178 107 45 5- - - 11% 14% 17% 15% 18% 12% 23% 19% 10% 5% 19% 11% 14% 13% 14% 17% 16% 13% 25% 9%

D De D I LM LM M OP w

Not willing to do

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Be put on a rations program for certain goods






- - - 1447 1498 1367 1385 683 703 399 335 336 315 389 224 691 410 520 454 785 578 124 44- - - 72% 75% 68% 68% 69% 67% 67% 66% 67% 74% 64% 68% 72% 66% 71% 68% 69% 69% 69% 78%

Fg dFG JKl N

Willing to do

- - - 569 495 646 644 305 339 199 170 166 109 220 107 274 213 215 216 359 258 57 13- - - 28% 25% 32% 32% 31% 33% 33% 34% 33% 26% 36% 32% 28% 34% 29% 32% 31% 31% 31% 22%

e DE dE M M m P

Not willing to do

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?







- - - 1776 1781 1714 1658 767 891 449 407 426 376 479 276 812 510 635 514 961 670 136 49- - - 88% 89% 85% 82% 78% 86% 75% 81% 85% 89% 79% 83% 84% 82% 86% 77% 84% 80% 75% 86%

FG FG G H j J JK N s qS u

Willing to do

- - - 240 212 299 371 220 150 148 98 76 48 130 56 153 113 101 156 184 166 44 8- - - 12% 11% 15% 18% 22% 14% 25% 19% 15% 11% 21% 17% 16% 18% 14% 23% 16% 20% 25% 14%

DE DEF I kLM M P r qR t

Not willing to do

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Donate my portion of the stimulus package to a hospital






- - - 866 849 787 802 470 332 262 228 158 155 182 113 471 262 309 231 470 314 84 18- - - 43% 43% 39% 40% 48% 32% 44% 45% 31% 37% 30% 34% 49% 42% 42% 34% 41% 38% 47% 31%

fg f I Lm LM NO S S

Willing to do

- - - 1150 1144 1226 1227 518 710 336 277 345 269 427 219 494 362 426 439 675 522 96 39- - - 57% 57% 61% 60% 52% 68% 56% 55% 69% 63% 70% 66% 51% 58% 58% 66% 59% 62% 53% 69%

de d H JK jK P P QR

Not willing to do

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 101FR01 Have you felt any of the following since the stay-home orders have gone into effect?

Summary Of Yes






- - - - 1529 1543 1551 722 829 412 387 395 357 458 269 738 453 586 511 917 604 143 44- - - - 77% 77% 76% 73% 80% 69% 77% 79% 84% 75% 81% 76% 73% 80% 76% 80% 72% 79% 77%

H J J JKl n Q U

Compassionate- takingthe time to check in withthe people I care about

- - - - 1549 1507 1468 691 777 398 377 369 325 414 249 717 450 535 484 885 549 138 40- - - - 78% 75% 72% 70% 75% 67% 75% 73% 77% 68% 75% 74% 72% 73% 72% 77% 66% 76% 70%

fG h J J J N N U

Appreciative-to be aroundpeople I truly care about

- - - - 1076 1044 1118 519 599 383 300 248 186 336 163 557 325 436 356 644 448 126 34- - - - 54% 52% 55% 53% 58% 64% 60% 49% 44% 55% 49% 58% 52% 59% 53% 56% 54% 70% 60%

f h LM LM O Qs

Cabin fever- bored andsick of being in my home

- - - - 972 967 1049 517 532 376 316 234 124 283 160 564 291 420 338 625 396 108 30- - - - 49% 48% 52% 52% 51% 63% 63% 47% 29% 46% 48% 58% 47% 57% 50% 55% 47% 60% 53%

f LM LM M NO QS U

Grateful- for the breakfrom work to be at homewith my family or bymyself

- - - - 1068 1027 1006 469 538 357 282 204 164 311 159 478 270 413 323 574 406 95 28- - - - 54% 51% 50% 47% 52% 60% 56% 41% 39% 51% 48% 50% 43% 56% 48% 50% 49% 53% 49%

G LM LM QS

Angry- upset that I don’tknow when this will end

- - - - 974 964 991 459 532 335 261 208 187 311 145 472 278 397 317 578 392 102 28- - - - 49% 48% 49% 47% 51% 56% 52% 41% 44% 51% 44% 49% 45% 54% 47% 50% 47% 56% 50%

h LM Lm o QS

Lonely-feeling isolatedfrom my friends/family

- - - - 728 723 716 384 332 314 243 106 54 205 105 370 197 287 232 445 247 95 13- - - - 37% 36% 35% 39% 32% 53% 48% 21% 13% 34% 32% 38% 32% 39% 35% 39% 30% 53% 23%

I LM LM M o Q U W

Overwhelmed- trying tobalance work at home andother needs of my family

- - - - 695 660 703 341 363 289 196 134 85 236 99 335 191 293 219 410 270 80 17- - - - 35% 33% 35% 35% 35% 48% 39% 27% 20% 39% 30% 35% 31% 40% 33% 36% 32% 45% 31%

KLM LM m O QS

Claustrophobic- unable toescape my home

- - - - 649 650 643 304 338 281 221 102 39 201 77 336 178 262 202 381 243 65 10- - - - 33% 32% 32% 31% 32% 47% 44% 20% 9% 33% 23% 35% 29% 36% 30% 33% 29% 36% 18%

LM LM M O O Qs W

Annoyed- by lack ofpersonal space and theinability to get away frommy family__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


20 Apr 2020Table 102FR01_1 Have you felt any of the following since the stay-home orders have gone into effect?

Cabin fever- bored and sick of being in my home






- - - - 1076 1044 1118 519 599 383 300 248 186 336 163 557 325 436 356 644 448 126 34- - - - 54% 52% 55% 53% 58% 64% 60% 49% 44% 55% 49% 58% 52% 59% 53% 56% 54% 70% 60%

f h LM LM O Qs

Yes

- - - - 917 969 911 469 443 214 204 255 238 273 169 408 298 300 314 500 387 54 23- - - - 46% 48% 45% 47% 42% 36% 40% 51% 56% 45% 51% 42% 48% 41% 47% 44% 46% 30% 40%

g i JK JK P R r

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Claustrophobic- unable to escape my home






- - - - 695 660 703 341 363 289 196 134 85 236 99 335 191 293 219 410 270 80 17- - - - 35% 33% 35% 35% 35% 48% 39% 27% 20% 39% 30% 35% 31% 40% 33% 36% 32% 45% 31%

KLM LM m O QS

Yes

- - - - 1298 1353 1326 646 679 309 308 369 339 373 233 630 432 442 451 734 566 100 39- - - - 65% 67% 65% 65% 65% 52% 61% 73% 80% 61% 70% 65% 69% 60% 67% 64% 68% 55% 69%

J JK JKl N R R

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Grateful- for the break from work to be at home with my family or by myself






- - - - 972 967 1049 517 532 376 316 234 124 283 160 564 291 420 338 625 396 108 30- - - - 49% 48% 52% 52% 51% 63% 63% 47% 29% 46% 48% 58% 47% 57% 50% 55% 47% 60% 53%

f LM LM M NO QS U

Yes

- - - - 1021 1046 980 470 510 222 189 269 300 326 172 401 332 316 332 519 439 73 27- - - - 51% 52% 48% 48% 49% 37% 37% 53% 71% 54% 52% 42% 53% 43% 50% 45% 53% 40% 47%

g JK JKL P P R R T

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Appreciative-to be around people I truly care about






- - - - 1549 1507 1468 691 777 398 377 369 325 414 249 717 450 535 484 885 549 138 40- - - - 78% 75% 72% 70% 75% 67% 75% 73% 77% 68% 75% 74% 72% 73% 72% 77% 66% 76% 70%

fG h J J J N N U

Yes

- - - - 444 506 561 296 265 200 127 134 99 195 82 248 173 201 186 259 286 43 17- - - - 22% 25% 28% 30% 25% 33% 25% 27% 23% 32% 25% 26% 28% 27% 28% 23% 34% 24% 30%

e E i KLM OP T

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Compassionate- taking the time to check in with the people I care about






- - - - 1529 1543 1551 722 829 412 387 395 357 458 269 738 453 586 511 917 604 143 44- - - - 77% 77% 76% 73% 80% 69% 77% 79% 84% 75% 81% 76% 73% 80% 76% 80% 72% 79% 77%

H J J JKl n Q U

Yes

- - - - 464 470 478 266 213 186 117 107 68 151 63 227 170 149 159 228 231 37 13- - - - 23% 23% 24% 27% 20% 31% 23% 21% 16% 25% 19% 24% 27% 20% 24% 20% 28% 21% 23%

I KLM M m o R T

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lonely-feeling isolated from my friends/family






- - - - 974 964 991 459 532 335 261 208 187 311 145 472 278 397 317 578 392 102 28- - - - 49% 48% 49% 47% 51% 56% 52% 41% 44% 51% 44% 49% 45% 54% 47% 50% 47% 56% 50%

h LM Lm o QS

Yes

- - - - 1019 1049 1038 528 510 263 243 294 238 298 186 493 345 339 353 567 443 79 28- - - - 51% 52% 51% 53% 49% 44% 48% 59% 56% 49% 56% 51% 55% 46% 53% 50% 53% 44% 50%

i JK Jk n R R

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Overwhelmed- trying to balance work at home and other needs of my family






- - - - 728 723 716 384 332 314 243 106 54 205 105 370 197 287 232 445 247 95 13- - - - 37% 36% 35% 39% 32% 53% 48% 21% 13% 34% 32% 38% 32% 39% 35% 39% 30% 53% 23%

I LM LM M o Q U W

Yes

- - - - 1265 1290 1313 603 710 284 262 397 371 404 227 595 426 448 438 699 588 85 44- - - - 63% 64% 65% 61% 68% 47% 52% 79% 87% 66% 68% 62% 68% 61% 65% 61% 70% 47% 77%

H JK JKL p R T V

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Angry- upset that I don’t know when this will end






- - - - 1068 1027 1006 469 538 357 282 204 164 311 159 478 270 413 323 574 406 95 28- - - - 54% 51% 50% 47% 52% 60% 56% 41% 39% 51% 48% 50% 43% 56% 48% 50% 49% 53% 49%

G LM LM QS

Yes

- - - - 925 986 1023 519 504 241 223 298 261 298 173 487 353 322 347 571 430 86 29- - - - 46% 49% 50% 53% 48% 40% 44% 59% 61% 49% 52% 50% 57% 44% 52% 50% 51% 47% 51%

E JK JK R R

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Annoyed- by lack of personal space and the inability to get away from my family






- - - - 649 650 643 304 338 281 221 102 39 201 77 336 178 262 202 381 243 65 10- - - - 33% 32% 32% 31% 32% 47% 44% 20% 9% 33% 23% 35% 29% 36% 30% 33% 29% 36% 18%

LM LM M O O Qs W

Yes

- - - - 1344 1363 1386 683 703 317 283 400 386 408 255 629 445 473 468 763 592 115 47- - - - 67% 68% 68% 69% 68% 53% 56% 80% 91% 67% 77% 65% 71% 64% 70% 67% 71% 64% 82%

JK JKL NP R r V

No

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 111FR02_1 While working from home, are you more likely to...

Roll out of bed and start working/Maintain your morning routine (e.g., shower etc)

Base: Working From Home Since The Coronavirus Pandemic




- - - - 731 655 724 437 287 272 266 150 36 153 103 449 259 265 200 461 254 100 5Unweighted Base-** -** -** -** 726 661 713 430 283 261 261 150 41** 134* 91* 471 235 263 215 455 243 102* 6**Weighted Base

- - - - 390 342 363 221 142 134 136 77 15 71 33 247 113 131 118 237 113 64 3- - - - 54% 52% 51% 51% 50% 51% 52% 52% 36% 53% 37% 53% 48% 50% 55% 52% 47% 62% 48%

o O

Roll out of bed and startworking

- - - - 335 319 350 209 141 127 125 73 26 63 57 224 122 132 96 218 130 39 3- - - - 46% 48% 49% 49% 50% 49% 48% 48% 64% 47% 63% 47% 52% 50% 45% 48% 53% 38% 52%

nP

Maintain your morningroutine (e.g., shower etc)

- - - - 726 661 713 430 283 261 261 150 41 134 91 471 235 263 215 455 243 102 6- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Get properly dressed/Wear PJs/sweatpants






- - - - 356 323 361 210 151 132 119 85 25 76 40 234 123 121 117 238 113 58 4- - - - 49% 49% 51% 49% 53% 51% 46% 57% 62% 57% 45% 50% 52% 46% 55% 52% 46% 57% 68%

k

Wear PJs/sweatpants

- - - - 370 338 352 220 132 129 142 65 16 58 50 237 112 142 98 217 130 45 2- - - - 51% 51% 49% 51% 47% 49% 54% 43% 38% 43% 55% 50% 48% 54% 45% 48% 54% 43% 32%

l

Get properly dressed

- - - - 726 661 713 430 283 261 261 150 41 134 91 471 235 263 215 455 243 102 6- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Take a shower daily/Skip a couple of days of showering






- - - - 361 339 370 214 156 152 125 75 18 78 35 249 130 143 96 229 133 59 5- - - - 50% 51% 52% 50% 55% 58% 48% 50% 45% 58% 39% 53% 56% 54% 45% 50% 55% 58% 86%

K O o s s

Take a shower daily

- - - - 364 322 343 216 127 109 136 75 23 57 55 222 105 120 118 225 111 43 1- - - - 50% 49% 48% 50% 45% 42% 52% 50% 55% 42% 61% 47% 44% 46% 55% 50% 45% 42% 14%

J Np qr

Skip a couple of days ofshowering

- - - - 726 661 713 430 283 261 261 150 41 134 91 471 235 263 215 455 243 102 6- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Work more/Work less






- - - - 408 352 365 219 146 127 138 75 25 75 45 237 126 130 108 236 125 58 5- - - - 56% 53% 51% 51% 52% 49% 53% 50% 62% 56% 50% 50% 54% 50% 50% 52% 51% 56% 88%

Work more

- - - - 318 309 348 211 137 134 123 75 16 59 45 234 109 133 106 218 118 45 1- - - - 44% 47% 49% 49% 48% 51% 47% 50% 38% 44% 50% 50% 46% 50% 50% 48% 49% 44% 12%

Work less

- - - - 726 661 713 430 283 261 261 150 41 134 91 471 235 263 215 455 243 102 6- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Maintain clear time boundaries (e.g., 9-5)/Work anytime that is needed






- - - - 371 371 372 222 150 140 131 82 18 67 51 250 119 148 105 232 132 50 2- - - - 51% 56% 52% 52% 53% 54% 50% 55% 45% 50% 56% 53% 51% 56% 49% 51% 54% 49% 33%

Maintain clear timeboundaries (e.g., 9-5)

- - - - 355 290 340 208 133 120 130 68 22 67 39 221 116 115 110 223 112 52 4- - - - 49% 44% 48% 48% 47% 46% 50% 45% 55% 50% 44% 47% 49% 44% 51% 49% 46% 51% 67%

Work anytime that isneeded

- - - - 726 661 713 430 283 261 261 150 41 134 91 471 235 263 215 455 243 102 6- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 116FR03 Are you a parent who is now staying at home with your child(ren)?

Base: Parent




- - - - 1109 1099 1131 533 598 246 359 301 225 324 198 564 407 383 341 1131 - 107 34Unweighted Base-** -** -** -** 1098 1153 1144 540 604 247 355 300 242 291 177 630 362 412 370 1144 -** 114* 42**Weighted Base

- - - - 641 602 643 335 308 212 288 116 27 148 88 395 203 247 193 643 - 87 21- - - - 58% 52% 56% 62% 51% 86% 81% 39% 11% 51% 50% 63% 56% 60% 52% 56% - 76% 50%

F I LM LM M NO s

Yes

- - - - 457 551 501 205 296 35 67 184 215 143 89 235 159 165 178 501 - 27 21- - - - 42% 48% 44% 38% 49% 14% 19% 61% 89% 49% 50% 37% 44% 40% 48% 44% - 24% 50%

E H JK JKL P P r

No

- - - - 1098 1153 1144 540 604 247 355 300 242 291 177 630 362 412 370 1144 - 114 42- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - 100% 100%

Sigma



20 Apr 2020Table 117FR04 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

Summary Of Yes

Base: Parent





- - - - 593 574 594 303 291 187 246 125 37 137 84 366 178 254 163 594 - 83 19- - - - 54% 50% 52% 56% 48% 76% 69% 42% 15% 47% 47% 58% 49% 62% 44% 52% - 73% 45%

I LM LM M NO QS

Giving in to more screentime (e.g., movies,YouTube, Netflix) topreoccupy kids

- - - - 474 444 470 244 226 169 198 80 23 123 60 282 146 195 129 470 - 72 17- - - - 43% 39% 41% 45% 37% 68% 56% 27% 9% 42% 34% 45% 40% 47% 35% 41% - 63% 39%

f I KLM LM M O S

Relying on moretreats/snacks to keep mykids happy

- - - - 386 381 411 252 159 145 182 56 28 82 56 270 129 170 113 411 - 70 7- - - - 35% 33% 36% 47% 26% 59% 51% 19% 12% 28% 32% 43% 36% 41% 30% 36% - 62% 17%

I LM LM m NO S

Kids making cameos onvideo or conference calls

- - - - 346 349 364 218 146 145 160 46 13 79 44 240 116 150 98 364 - 63 10- - - - 32% 30% 32% 40% 24% 59% 45% 15% 6% 27% 25% 38% 32% 36% 26% 32% - 56% 23%

I KLM LM M NO S

Buying more toys, booksor games to preoccupy kids

- - - - 345 337 363 200 163 119 168 61 15 77 54 229 112 152 99 363 - 47 7- - - - 31% 29% 32% 37% 27% 48% 47% 20% 6% 26% 30% 36% 31% 37% 27% 32% - 41% 17%

I LM LM M N S

Frustration with onlineschooling systems

- - - - 339 352 359 209 150 133 151 62 13 83 52 222 116 152 91 359 - 52 6- - - - 31% 31% 31% 39% 25% 54% 42% 21% 5% 28% 29% 35% 32% 37% 25% 31% - 46% 14%

I KLM LM M n s S

’Mommy/Daddy’ time out-walking away from kids toget a break__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


20 Apr 2020Table 118FR04_1 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

Giving in to more screen time (e.g., movies, YouTube, Netflix) to preoccupy kids

Base: Parent





- - - - 593 574 594 303 291 187 246 125 37 137 84 366 178 254 163 594 - 83 19- - - - 54% 50% 52% 56% 48% 76% 69% 42% 15% 47% 47% 58% 49% 62% 44% 52% - 73% 45%

I LM LM M NO QS

Yes

- - - - 505 579 550 237 313 59 110 175 205 154 94 263 184 158 208 550 - 31 23- - - - 46% 50% 48% 44% 52% 24% 31% 58% 85% 53% 53% 42% 51% 38% 56% 48% - 27% 55%

H JK JKL P P R R

No

- - - - 1098 1153 1144 540 604 247 355 300 242 291 177 630 362 412 370 1144 - 114 42- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - 100% 100%

Sigma




Relying on more treats/snacks to keep my kids happy

Base: Parent





- - - - 474 444 470 244 226 169 198 80 23 123 60 282 146 195 129 470 - 72 17- - - - 43% 39% 41% 45% 37% 68% 56% 27% 9% 42% 34% 45% 40% 47% 35% 41% - 63% 39%

f I KLM LM M O S

Yes

- - - - 624 709 675 296 378 78 157 220 220 168 118 348 216 217 241 675 - 42 26- - - - 57% 61% 59% 55% 63% 32% 44% 73% 91% 58% 66% 55% 60% 53% 65% 59% - 37% 61%

e H J JK JKL P R

No

- - - - 1098 1153 1144 540 604 247 355 300 242 291 177 630 362 412 370 1144 - 114 42- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - 100% 100%

Sigma




Frustration with online schooling systems

Base: Parent





- - - - 345 337 363 200 163 119 168 61 15 77 54 229 112 152 99 363 - 47 7- - - - 31% 29% 32% 37% 27% 48% 47% 20% 6% 26% 30% 36% 31% 37% 27% 32% - 41% 17%

I LM LM M N S

Yes

- - - - 753 817 782 341 441 128 188 239 228 214 124 401 250 260 272 782 - 67 35- - - - 69% 71% 68% 63% 73% 52% 53% 80% 94% 74% 70% 64% 69% 63% 73% 68% - 59% 83%

H JK JKL P R

No

- - - - 1098 1153 1144 540 604 247 355 300 242 291 177 630 362 412 370 1144 - 114 42- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - 100% 100%

Sigma




Kids making cameos on video or conference calls

Base: Parent





- - - - 386 381 411 252 159 145 182 56 28 82 56 270 129 170 113 411 - 70 7- - - - 35% 33% 36% 47% 26% 59% 51% 19% 12% 28% 32% 43% 36% 41% 30% 36% - 62% 17%

I LM LM m NO S

Yes

- - - - 712 772 733 288 445 102 173 244 214 209 121 360 233 242 258 733 - 44 35- - - - 65% 67% 64% 53% 74% 41% 49% 81% 88% 72% 68% 57% 64% 59% 70% 64% - 38% 83%

H JK JKl P P R

No

- - - - 1098 1153 1144 540 604 247 355 300 242 291 177 630 362 412 370 1144 - 114 42- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - 100% 100%

Sigma




’Mommy/Daddy’ time out- walking away from kids to get a break

Base: Parent





- - - - 339 352 359 209 150 133 151 62 13 83 52 222 116 152 91 359 - 52 6- - - - 31% 31% 31% 39% 25% 54% 42% 21% 5% 28% 29% 35% 32% 37% 25% 31% - 46% 14%

I KLM LM M n s S

Yes

- - - - 758 801 785 331 455 114 205 238 229 209 125 407 246 260 279 785 - 61 36- - - - 69% 69% 69% 61% 75% 46% 58% 79% 95% 72% 71% 65% 68% 63% 75% 69% - 54% 86%

H J JK JKL p qR

No

- - - - 1098 1153 1144 540 604 247 355 300 242 291 177 630 362 412 370 1144 - 114 42- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - 100% 100%

Sigma




Buying more toys, books or games to preoccupy kids

Base: Parent





- - - - 346 349 364 218 146 145 160 46 13 79 44 240 116 150 98 364 - 63 10- - - - 32% 30% 32% 40% 24% 59% 45% 15% 6% 27% 25% 38% 32% 36% 26% 32% - 56% 23%

I KLM LM M NO S

Yes

- - - - 751 804 781 322 458 102 195 254 229 212 134 390 246 262 272 781 - 51 33- - - - 68% 70% 68% 60% 76% 41% 55% 85% 94% 73% 75% 62% 68% 64% 74% 68% - 44% 77%

H J JK JKL P P R

No

- - - - 1098 1153 1144 540 604 247 355 300 242 291 177 630 362 412 370 1144 - 114 42- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - 100% 100%

Sigma



20 Apr 2020Table 124FR05 How much would you say you miss each of the following during this time of virus-related shutdowns?

Summary Of A Lot/Somewhat






- - - - - 1494 1579 725 854 445 377 400 356 435 264 777 487 585 507 902 652 154 51- - - - - 74% 78% 73% 82% 74% 75% 80% 84% 71% 79% 80% 78% 80% 76% 79% 78% 85% 89%

F H j JK N N

Gatherings with friendsand family

- - - - - 1405 1492 709 783 414 372 379 327 396 246 767 459 566 466 851 617 145 49- - - - - 70% 74% 72% 75% 69% 74% 75% 77% 65% 74% 79% 74% 77% 70% 74% 74% 80% 86%

F j J N No S

Dining out at arestaurant/bar

- - - - - 1341 1381 628 753 404 358 324 295 390 230 675 415 531 435 785 571 129 42- - - - - 67% 68% 64% 72% 68% 71% 65% 69% 64% 69% 70% 67% 72% 65% 69% 68% 72% 74%

H l N qS

Shopping in stores

- - - - - 1191 1188 543 644 385 307 269 227 306 170 640 346 486 355 676 490 133 40- - - - - 59% 59% 55% 62% 64% 61% 53% 54% 50% 51% 66% 56% 66% 53% 59% 59% 73% 71%

H LM Lm NO QS

Going to a socialgathering,

- - - - - 916 984 541 443 322 297 202 163 236 153 557 300 380 304 565 402 123 26- - - - - 46% 49% 55% 43% 54% 59% 40% 38% 39% 46% 58% 48% 52% 45% 49% 48% 68% 46%

I LM LM n NO s W

Attending events likeconcerts, theatre andsporting events

- - - - - 893 972 512 460 335 296 210 130 251 151 532 264 417 291 574 380 110 31- - - - - 44% 48% 52% 44% 56% 59% 42% 31% 41% 46% 55% 42% 57% 43% 50% 46% 61% 54%

f I LM LM M NO QS u

Going to a movie theatre

- - - - - 983 958 460 498 281 222 246 209 277 129 491 348 319 291 558 381 97 32- - - - - 49% 47% 47% 48% 47% 44% 49% 49% 46% 39% 51% 56% 43% 43% 49% 46% 54% 56%

o nO RS

Going to church

- - - - - 858 940 499 441 318 284 195 143 235 134 529 257 387 296 540 382 111 24- - - - - 43% 46% 51% 42% 53% 56% 39% 34% 39% 40% 55% 41% 53% 44% 47% 46% 62% 42%

f I LM LM NO QS W

Going to my local coffeeshop

- - - - - 910 909 575 334 282 245 212 170 223 156 490 302 353 254 539 353 108 29- - - - - 45% 45% 58% 32% 47% 49% 42% 40% 37% 47% 51% 49% 48% 38% 47% 42% 60% 51%

I m lM N N S S u

Watching sports on TV

- - - - - 742 802 463 339 318 233 138 112 166 110 490 248 321 233 450 333 106 30- - - - - 37% 40% 47% 33% 53% 46% 28% 27% 27% 33% 51% 40% 44% 35% 39% 40% 59% 53%

I kLM LM n NO S

Going to the gym/work outclass

- - - - - 707 737 405 333 238 230 145 124 158 99 438 223 285 229 449 280 92 18- - - - - 35% 36% 41% 32% 40% 46% 29% 29% 26% 30% 45% 36% 39% 34% 39% 34% 51% 32%

I LM LM NO U W

Traveling on an airplane

- - - - - 621 666 396 270 262 234 128 41 164 80 397 197 261 209 418 229 98 18- - - - - 31% 33% 40% 26% 44% 46% 25% 10% 27% 24% 41% 32% 35% 31% 37% 27% 54% 31%

I LM LM M NO U W

Working from the office

- - - - - 488 538 310 228 272 178 64 24 139 69 304 150 225 163 309 213 66 13- - - - - 24% 27% 31% 22% 45% 35% 13% 6% 23% 21% 32% 24% 31% 24% 27% 26% 36% 22%

I KLM LM M NO QS

Going to school oruniversity



20 Apr 2020Table 125FR05 How much would you say you miss each of the following during this time of virus-related shutdowns?

Summary Of Not At All/Not Very






- - - - - 1525 1491 677 814 326 326 439 400 470 263 661 474 510 507 835 622 115 44- - - - - 76% 73% 69% 78% 55% 65% 87% 94% 77% 79% 68% 76% 69% 76% 73% 74% 64% 78%

H J JK JKL P P R R

Going to school oruniversity

- - - - - 1392 1363 591 772 335 270 374 383 445 252 568 426 475 461 727 606 83 39- - - - - 69% 67% 60% 74% 56% 54% 75% 90% 73% 76% 59% 68% 65% 69% 63% 73% 46% 69%

H JK JKL P P T V


- - - - - 1306 1292 583 709 360 274 357 300 451 233 527 400 451 441 695 555 88 39- - - - - 65% 64% 59% 68% 60% 54% 71% 71% 74% 70% 55% 64% 61% 66% 61% 66% 49% 68%

H JK JK P P T V


- - - - - 1271 1227 525 703 280 271 364 312 443 222 475 375 415 437 695 503 74 27- - - - - 63% 60% 53% 67% 47% 54% 72% 73% 73% 67% 49% 60% 56% 65% 61% 60% 41% 47%

H j JK JK oP P R

Going to the gym/work outclass

- - - - - 1103 1120 412 708 316 259 290 255 386 176 475 321 383 416 605 483 72 28- - - - - 55% 55% 42% 68% 53% 51% 58% 60% 63% 53% 49% 51% 52% 62% 53% 58% 40% 49%

H k jK OP QR t


- - - - - 1155 1089 488 601 280 220 308 282 374 198 436 367 349 374 605 453 69 33- - - - - 57% 54% 49% 58% 47% 44% 61% 66% 61% 60% 45% 59% 47% 56% 53% 54% 38% 58%

g H JK JK P P R R V

Going to my local coffeeshop

- - - - - 1030 1071 527 544 316 283 257 216 332 203 474 275 417 379 586 455 84 25- - - - - 51% 53% 53% 52% 53% 56% 51% 51% 54% 61% 49% 44% 57% 57% 51% 54% 46% 44%

p nP Q Q

Going to church

- - - - - 1120 1057 475 582 262 208 292 294 358 180 433 359 319 379 570 455 70 26- - - - - 56% 52% 48% 56% 44% 41% 58% 69% 59% 54% 45% 58% 43% 57% 50% 54% 39% 46%

g H JK JKL P P R R t


- - - - - 1097 1045 446 599 275 207 301 262 373 179 408 323 355 366 579 434 58 31- - - - - 54% 51% 45% 57% 46% 41% 60% 62% 61% 54% 42% 52% 48% 55% 51% 52% 32% 54%

H JK JK oP P r V

Attending events likeconcerts, theatre andsporting events

- - - - - 822 841 444 397 213 198 234 197 303 162 325 277 249 315 468 345 48 17- - - - - 41% 41% 45% 38% 36% 39% 47% 46% 50% 49% 34% 44% 34% 47% 41% 41% 27% 29%

I JK Jk P P R R

Going to a socialgathering,

- - - - - 672 648 359 289 194 147 178 130 219 102 290 208 204 235 359 265 51 15- - - - - 33% 32% 36% 28% 32% 29% 35% 31% 36% 31% 30% 33% 28% 35% 31% 32% 28% 26%

I k P r R

Shopping in stores

- - - - - 608 537 278 259 184 132 123 98 213 86 198 164 169 204 293 219 36 8- - - - - 30% 26% 28% 25% 31% 26% 25% 23% 35% 26% 21% 26% 23% 30% 26% 26% 20% 14%

G lM OP p R

Dining out at arestaurant/bar

- - - - - 519 450 262 188 152 127 102 68 174 68 188 136 150 163 243 183 26 6- - - - - 26% 22% 27% 18% 26% 25% 20% 16% 29% 21% 20% 22% 20% 24% 21% 22% 15% 11%

G I lM M OP

Gatherings with friendsand family



20 Apr 2020Table 126FR05_1 How much would you say you miss each of the following during this time of virus-related shutdowns?







- - - - - 707 737 405 333 238 230 145 124 158 99 438 223 285 229 449 280 92 18- - - - - 35% 36% 41% 32% 40% 46% 29% 29% 26% 30% 45% 36% 39% 34% 39% 34% 51% 32%

I LM LM NO U W

A Lot/Somewhat (Net)

- - - - - 301 308 173 136 113 109 48 38 66 36 197 92 131 86 191 113 44 6- - - - - 15% 15% 17% 13% 19% 22% 10% 9% 11% 11% 20% 15% 18% 13% 17% 14% 25% 10%

I LM LM NO S w

A lot

- - - - - 406 429 232 197 125 121 97 86 92 62 241 132 154 144 258 167 48 13- - - - - 20% 21% 23% 19% 21% 24% 19% 20% 15% 19% 25% 21% 21% 21% 23% 20% 27% 22%

I No

Somewhat

- - - - - 1306 1292 583 709 360 274 357 300 451 233 527 400 451 441 695 555 88 39- - - - - 65% 64% 59% 68% 60% 54% 71% 71% 74% 70% 55% 64% 61% 66% 61% 66% 49% 68%

H JK JK P P T V

Not At All/Not Very (Net)

- - - - - 343 405 218 187 142 100 86 77 105 79 208 122 145 138 227 165 24 12- - - - - 17% 20% 22% 18% 24% 20% 17% 18% 17% 24% 22% 20% 20% 21% 20% 20% 13% 22%

f i Lm N n

Not very

- - - - - 963 887 365 522 218 175 272 223 346 154 319 278 306 303 468 390 64 26- - - - - 48% 44% 37% 50% 36% 35% 54% 53% 57% 46% 33% 45% 42% 45% 41% 47% 36% 46%

G H JK JK OP P T

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - 893 972 512 460 335 296 210 130 251 151 532 264 417 291 574 380 110 31- - - - - 44% 48% 52% 44% 56% 59% 42% 31% 41% 46% 55% 42% 57% 43% 50% 46% 61% 54%

f I LM LM M NO QS u


- - - - - 396 345 181 163 121 126 66 31 88 48 197 94 160 91 206 134 49 8- - - - - 20% 17% 18% 16% 20% 25% 13% 7% 14% 14% 20% 15% 22% 14% 18% 16% 27% 13%

g LM LM M NO QS w

A lot

- - - - - 496 627 331 297 215 170 144 99 163 104 335 170 257 201 368 246 62 23- - - - - 25% 31% 34% 28% 36% 34% 29% 23% 27% 31% 35% 27% 35% 30% 32% 29% 34% 41%

F I LM M N Q

Somewhat

- - - - - 1120 1057 475 582 262 208 292 294 358 180 433 359 319 379 570 455 70 26- - - - - 56% 52% 48% 56% 44% 41% 58% 69% 59% 54% 45% 58% 43% 57% 50% 54% 39% 46%

g H JK JKL P P R R t


- - - - - 358 361 185 176 116 89 83 73 101 71 167 107 115 139 208 141 26 11- - - - - 18% 18% 19% 17% 19% 18% 17% 17% 17% 21% 17% 17% 16% 21% 18% 17% 15% 19%

R

Not very

- - - - - 762 696 290 406 146 119 209 221 258 110 266 252 204 240 362 314 44 15- - - - - 38% 34% 29% 39% 24% 24% 42% 52% 42% 33% 28% 40% 28% 36% 32% 38% 24% 27%

g H JK JKL OP R R T

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Shopping in stores






- - - - - 1341 1381 628 753 404 358 324 295 390 230 675 415 531 435 785 571 129 42- - - - - 67% 68% 64% 72% 68% 71% 65% 69% 64% 69% 70% 67% 72% 65% 69% 68% 72% 74%

H l N qS


- - - - - 625 577 220 356 194 162 123 97 182 80 278 158 261 158 316 248 60 21- - - - - 31% 28% 22% 34% 32% 32% 25% 23% 30% 24% 29% 25% 35% 24% 28% 30% 33% 37%

H LM LM QS

A lot

- - - - - 716 804 407 397 210 196 201 197 208 150 397 257 270 277 469 323 70 21- - - - - 36% 40% 41% 38% 35% 39% 40% 46% 34% 45% 41% 41% 37% 41% 41% 39% 39% 38%

F Jk N N

Somewhat

- - - - - 672 648 359 289 194 147 178 130 219 102 290 208 204 235 359 265 51 15- - - - - 33% 32% 36% 28% 32% 29% 35% 31% 36% 31% 30% 33% 28% 35% 31% 32% 28% 26%

I k P r R


- - - - - 396 365 212 153 108 77 96 84 111 69 170 119 113 133 210 147 33 9- - - - - 20% 18% 22% 15% 18% 15% 19% 20% 18% 21% 18% 19% 15% 20% 18% 18% 18% 16%

I r

Not very

- - - - - 275 283 147 136 86 69 82 46 109 33 120 89 91 102 149 118 18 6- - - - - 14% 14% 15% 13% 14% 14% 16% 11% 18% 10% 12% 14% 12% 15% 13% 14% 10% 10%

M OP

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - 621 666 396 270 262 234 128 41 164 80 397 197 261 209 418 229 98 18- - - - - 31% 33% 40% 26% 44% 46% 25% 10% 27% 24% 41% 32% 35% 31% 37% 27% 54% 31%

I LM LM M NO U W


- - - - - 261 246 144 101 92 102 43 9 54 22 159 79 91 75 163 78 41 3- - - - - 13% 12% 15% 10% 15% 20% 9% 2% 9% 7% 16% 13% 12% 11% 14% 9% 23% 5%

I LM jLM M NO U W

A lot

- - - - - 360 420 252 168 170 133 85 33 110 58 238 118 169 134 254 151 56 15- - - - - 18% 21% 26% 16% 29% 26% 17% 8% 18% 17% 25% 19% 23% 20% 22% 18% 31% 26%

f I LM LM M NO u

Somewhat

- - - - - 1392 1363 591 772 335 270 374 383 445 252 568 426 475 461 727 606 83 39- - - - - 69% 67% 60% 74% 56% 54% 75% 90% 73% 76% 59% 68% 65% 69% 63% 73% 46% 69%

H JK JKL P P T V


- - - - - 270 296 170 126 128 58 62 48 83 55 145 79 112 105 156 132 20 16- - - - - 13% 15% 17% 12% 21% 12% 12% 11% 14% 16% 15% 13% 15% 16% 14% 16% 11% 28%

I KLM V

Not very

- - - - - 1123 1067 421 646 208 212 313 335 362 197 422 347 363 356 570 474 63 23- - - - - 56% 53% 43% 62% 35% 42% 62% 79% 59% 59% 44% 56% 49% 53% 50% 57% 35% 41%

H J JK JKL P P r T

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Attending events like concerts, theatre and sporting events






- - - - - 916 984 541 443 322 297 202 163 236 153 557 300 380 304 565 402 123 26- - - - - 46% 49% 55% 43% 54% 59% 40% 38% 39% 46% 58% 48% 52% 45% 49% 48% 68% 46%

I LM LM n NO s W


- - - - - 430 426 233 193 147 136 83 60 107 59 247 121 173 132 250 167 63 10- - - - - 21% 21% 24% 19% 25% 27% 17% 14% 18% 18% 26% 19% 24% 20% 22% 20% 35% 18%

I LM LM NO w

A lot

- - - - - 486 558 308 250 176 161 118 103 129 94 310 179 207 171 315 235 60 16- - - - - 24% 27% 31% 24% 29% 32% 24% 24% 21% 28% 32% 29% 28% 26% 28% 28% 33% 29%

f I l LM N N

Somewhat

- - - - - 1097 1045 446 599 275 207 301 262 373 179 408 323 355 366 579 434 58 31- - - - - 54% 51% 45% 57% 46% 41% 60% 62% 61% 54% 42% 52% 48% 55% 51% 52% 32% 54%

H JK JK oP P r V


- - - - - 394 357 176 180 108 83 80 86 98 64 170 92 145 120 209 141 17 11- - - - - 20% 18% 18% 17% 18% 16% 16% 20% 16% 19% 18% 15% 20% 18% 18% 17% 9% 19%

Q

Not very

- - - - - 703 688 270 418 168 124 221 175 275 115 238 231 210 247 370 292 41 20- - - - - 35% 34% 27% 40% 28% 25% 44% 41% 45% 35% 25% 37% 29% 37% 32% 35% 23% 34%

H JK JK OP P R R

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Dining out at a restaurant/bar






- - - - - 1405 1492 709 783 414 372 379 327 396 246 767 459 566 466 851 617 145 49- - - - - 70% 74% 72% 75% 69% 74% 75% 77% 65% 74% 79% 74% 77% 70% 74% 74% 80% 86%

F j J N No S


- - - - - 670 708 329 379 195 189 169 156 175 106 388 211 291 206 415 284 83 24- - - - - 33% 35% 33% 36% 33% 38% 34% 37% 29% 32% 40% 34% 40% 31% 36% 34% 46% 41%

NO qS

A lot

- - - - - 735 783 380 404 219 183 210 171 221 140 379 248 275 260 436 333 61 26- - - - - 37% 39% 38% 39% 37% 36% 42% 40% 36% 42% 39% 40% 37% 39% 38% 40% 34% 45%

Somewhat

- - - - - 608 537 278 259 184 132 123 98 213 86 198 164 169 204 293 219 36 8- - - - - 30% 26% 28% 25% 31% 26% 25% 23% 35% 26% 21% 26% 23% 30% 26% 26% 20% 14%

G lM OP p R


- - - - - 287 251 142 109 87 65 54 45 92 48 95 67 75 108 140 99 18 5- - - - - 14% 12% 14% 10% 15% 13% 11% 11% 15% 14% 10% 11% 10% 16% 12% 12% 10% 9%

I P p QR

Not very

- - - - - 321 286 137 150 96 68 70 53 121 38 103 97 94 96 154 119 18 3- - - - - 16% 14% 14% 14% 16% 13% 14% 12% 20% 11% 11% 16% 13% 14% 13% 14% 10% 5%

OP

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - 910 909 575 334 282 245 212 170 223 156 490 302 353 254 539 353 108 29- - - - - 45% 45% 58% 32% 47% 49% 42% 40% 37% 47% 51% 49% 48% 38% 47% 42% 60% 51%

I m lM N N S S u


- - - - - 481 478 314 164 134 133 119 91 110 79 272 156 192 130 286 180 57 10- - - - - 24% 24% 32% 16% 22% 26% 24% 22% 18% 24% 28% 25% 26% 19% 25% 22% 32% 18%

I n N S S

A lot

- - - - - 429 431 261 170 148 112 93 78 113 77 218 146 161 124 253 172 51 19- - - - - 21% 21% 26% 16% 25% 22% 19% 18% 19% 23% 23% 23% 22% 19% 22% 21% 28% 33%

I Lm s

Somewhat

- - - - - 1103 1120 412 708 316 259 290 255 386 176 475 321 383 416 605 483 72 28- - - - - 55% 55% 42% 68% 53% 51% 58% 60% 63% 53% 49% 51% 52% 62% 53% 58% 40% 49%

H k jK OP QR t


- - - - - 314 287 142 145 91 76 73 47 77 41 158 87 95 106 162 113 25 6- - - - - 16% 14% 14% 14% 15% 15% 15% 11% 13% 12% 16% 14% 13% 16% 14% 14% 14% 11%

n

Not very

- - - - - 789 833 270 563 224 183 217 208 309 135 316 234 288 311 443 370 47 22- - - - - 39% 41% 27% 54% 38% 36% 43% 49% 51% 41% 33% 38% 39% 46% 39% 44% 26% 38%

H k JK OP P QR T

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Gatherings with friends and family






- - - - - 1494 1579 725 854 445 377 400 356 435 264 777 487 585 507 902 652 154 51- - - - - 74% 78% 73% 82% 74% 75% 80% 84% 71% 79% 80% 78% 80% 76% 79% 78% 85% 89%

F H j JK N N


- - - - - 833 891 367 524 260 220 213 198 231 143 460 278 351 263 504 371 97 30- - - - - 41% 44% 37% 50% 44% 44% 42% 47% 38% 43% 48% 45% 48% 39% 44% 44% 54% 52%

H N S

A lot

- - - - - 661 688 358 330 185 157 188 158 204 120 317 209 235 244 397 281 57 21- - - - - 33% 34% 36% 32% 31% 31% 37% 37% 34% 36% 33% 34% 32% 36% 35% 34% 32% 37%

i jk j

Somewhat

- - - - - 519 450 262 188 152 127 102 68 174 68 188 136 150 163 243 183 26 6- - - - - 26% 22% 27% 18% 26% 25% 20% 16% 29% 21% 20% 22% 20% 24% 21% 22% 15% 11%

G I lM M OP


- - - - - 230 208 134 74 73 62 43 29 73 36 95 55 77 77 118 77 13 3- - - - - 11% 10% 14% 7% 12% 12% 9% 7% 12% 11% 10% 9% 10% 11% 10% 9% 7% 5%

I lM lM

Not very

- - - - - 289 242 128 114 79 65 59 39 101 32 93 82 73 87 124 106 14 3- - - - - 14% 12% 13% 11% 13% 13% 12% 9% 17% 10% 10% 13% 10% 13% 11% 13% 8% 6%

g OP

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to church






- - - - - 983 958 460 498 281 222 246 209 277 129 491 348 319 291 558 381 97 32- - - - - 49% 47% 47% 48% 47% 44% 49% 49% 46% 39% 51% 56% 43% 43% 49% 46% 54% 56%

o nO RS


- - - - - 504 514 214 300 133 113 130 137 136 69 273 207 167 139 299 206 48 22- - - - - 25% 25% 22% 29% 22% 22% 26% 32% 22% 21% 28% 33% 23% 21% 26% 25% 27% 39%

H JKl NO RS

A lot

- - - - - 479 444 247 198 148 109 115 72 141 60 219 141 152 152 259 174 49 10- - - - - 24% 22% 25% 19% 25% 22% 23% 17% 23% 18% 23% 23% 21% 23% 23% 21% 27% 17%

I M m

Somewhat

- - - - - 1030 1071 527 544 316 283 257 216 332 203 474 275 417 379 586 455 84 25- - - - - 51% 53% 53% 52% 53% 56% 51% 51% 54% 61% 49% 44% 57% 57% 51% 54% 46% 44%

p nP Q Q


- - - - - 263 294 168 126 113 77 55 48 89 60 134 86 104 104 173 114 19 6- - - - - 13% 14% 17% 12% 19% 15% 11% 11% 15% 18% 14% 14% 14% 15% 15% 14% 10% 11%

I LM l

Not very

- - - - - 767 777 359 419 203 206 202 167 243 143 340 189 313 275 414 341 65 19- - - - - 38% 38% 36% 40% 34% 41% 40% 39% 40% 43% 35% 30% 43% 41% 36% 41% 36% 33%

j j P Q Q t

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to school or university






- - - - - 488 538 310 228 272 178 64 24 139 69 304 150 225 163 309 213 66 13- - - - - 24% 27% 31% 22% 45% 35% 13% 6% 23% 21% 32% 24% 31% 24% 27% 26% 36% 22%

I KLM LM M NO QS


- - - - - 233 219 118 101 128 63 24 5 59 21 129 60 93 66 125 92 30 3- - - - - 12% 11% 12% 10% 21% 12% 5% 1% 10% 6% 13% 10% 13% 10% 11% 11% 17% 5%

KLM LM M nO w

A lot

- - - - - 255 319 192 127 144 116 40 20 80 48 175 90 132 97 184 122 36 10- - - - - 13% 16% 19% 12% 24% 23% 8% 5% 13% 14% 18% 14% 18% 14% 16% 15% 20% 17%

F I LM LM m N

Somewhat

- - - - - 1525 1491 677 814 326 326 439 400 470 263 661 474 510 507 835 622 115 44- - - - - 76% 73% 69% 78% 55% 65% 87% 94% 77% 79% 68% 76% 69% 76% 73% 74% 64% 78%

H J JK JKL P P R R


- - - - - 225 277 161 116 107 64 60 46 89 35 142 89 98 90 162 107 24 10- - - - - 11% 14% 16% 11% 18% 13% 12% 11% 15% 11% 15% 14% 13% 13% 14% 13% 13% 17%

f I KLM

Not very

- - - - - 1300 1214 516 698 219 262 378 355 382 228 519 385 412 417 673 515 91 35- - - - - 65% 60% 52% 67% 37% 52% 75% 84% 63% 69% 54% 62% 56% 62% 59% 62% 50% 61%

G H J JK JKL P P r r

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to the gym/work out class






- - - - - 742 802 463 339 318 233 138 112 166 110 490 248 321 233 450 333 106 30- - - - - 37% 40% 47% 33% 53% 46% 28% 27% 27% 33% 51% 40% 44% 35% 39% 40% 59% 53%

I kLM LM n NO S


- - - - - 347 352 194 158 132 108 66 47 71 41 224 109 157 86 193 148 42 7- - - - - 17% 17% 20% 15% 22% 21% 13% 11% 12% 12% 23% 18% 21% 13% 17% 18% 23% 12%

I LM LM NO s S

A lot

- - - - - 395 450 269 181 186 125 72 66 95 69 266 139 163 147 257 185 64 24- - - - - 20% 22% 27% 17% 31% 25% 14% 16% 16% 21% 28% 22% 22% 22% 22% 22% 36% 42%

I kLM LM n NO

Somewhat

- - - - - 1271 1227 525 703 280 271 364 312 443 222 475 375 415 437 695 503 74 27- - - - - 63% 60% 53% 67% 47% 54% 72% 73% 73% 67% 49% 60% 56% 65% 61% 60% 41% 47%

H j JK JK oP P R


- - - - - 294 305 168 137 118 75 61 50 104 58 122 90 96 118 175 124 16 5- - - - - 15% 15% 17% 13% 20% 15% 12% 12% 17% 18% 13% 15% 13% 18% 15% 15% 9% 9%

i kLM P p r

Not very

- - - - - 977 923 357 566 163 196 303 262 339 164 353 285 319 319 520 379 58 22- - - - - 49% 45% 36% 54% 27% 39% 60% 62% 56% 49% 37% 46% 43% 48% 45% 45% 32% 38%

H J JK JK P P

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to a social gathering,






- - - - - 1191 1188 543 644 385 307 269 227 306 170 640 346 486 355 676 490 133 40- - - - - 59% 59% 55% 62% 64% 61% 53% 54% 50% 51% 66% 56% 66% 53% 59% 59% 73% 71%

H LM Lm NO QS


- - - - - 509 524 212 311 193 147 99 84 117 70 311 152 218 153 306 211 64 19- - - - - 25% 26% 22% 30% 32% 29% 20% 20% 19% 21% 32% 24% 30% 23% 27% 25% 36% 33%

H LM LM NO qS

A lot

- - - - - 682 664 331 333 192 159 169 143 189 100 329 194 268 202 370 279 68 22- - - - - 34% 33% 34% 32% 32% 32% 34% 34% 31% 30% 34% 31% 36% 30% 32% 33% 38% 38%

qS

Somewhat

- - - - - 822 841 444 397 213 198 234 197 303 162 325 277 249 315 468 345 48 17- - - - - 41% 41% 45% 38% 36% 39% 47% 46% 50% 49% 34% 44% 34% 47% 41% 41% 27% 29%

I JK Jk P P R R


- - - - - 356 359 210 149 101 90 86 81 119 83 141 100 106 153 205 148 26 11- - - - - 18% 18% 21% 14% 17% 18% 17% 19% 20% 25% 15% 16% 14% 23% 18% 18% 15% 20%

I P nP QR

Not very

- - - - - 466 483 234 248 112 108 148 116 184 79 184 177 144 162 264 197 21 5- - - - - 23% 24% 24% 24% 19% 21% 29% 27% 30% 24% 19% 28% 20% 24% 23% 24% 12% 9%

JK Jk oP R r

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to my local coffee shop






- - - - - 858 940 499 441 318 284 195 143 235 134 529 257 387 296 540 382 111 24- - - - - 43% 46% 51% 42% 53% 56% 39% 34% 39% 40% 55% 41% 53% 44% 47% 46% 62% 42%

f I LM LM NO QS W


- - - - - 360 381 194 187 138 128 80 36 93 32 241 106 165 110 222 154 64 7- - - - - 18% 19% 20% 18% 23% 25% 16% 9% 15% 10% 25% 17% 22% 16% 19% 18% 36% 13%

LM LM M O NO QS W

A lot

- - - - - 498 558 305 253 180 157 115 107 142 102 288 150 222 186 318 229 47 17- - - - - 25% 28% 31% 24% 30% 31% 23% 25% 23% 31% 30% 24% 30% 28% 28% 27% 26% 30%

I L L N N Q

Somewhat

- - - - - 1155 1089 488 601 280 220 308 282 374 198 436 367 349 374 605 453 69 33- - - - - 57% 54% 49% 58% 47% 44% 61% 66% 61% 60% 45% 59% 47% 56% 53% 54% 38% 58%

g H JK JK P P R R V


- - - - - 342 350 199 150 103 83 86 77 112 60 164 114 121 114 213 133 22 14- - - - - 17% 17% 20% 14% 17% 17% 17% 18% 18% 18% 17% 18% 17% 17% 19% 16% 12% 25%

I v

Not very

- - - - - 813 740 289 451 177 137 222 205 262 138 272 253 227 260 392 320 47 19- - - - - 40% 36% 29% 43% 30% 27% 44% 48% 43% 42% 28% 41% 31% 39% 34% 38% 26% 33%

G H JK JK P P R R

Not at all

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 139Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?

Summary Of Concerned





2050 2019 2023 - - 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base2050 2019 2023 -** -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

1608 1618 1780 - - 1763 1727 810 917 480 432 429 387 506 292 827 511 671 545 973 721 159 4978% 80% 88% - - 88% 85% 82% 88% 80% 86% 85% 91% 83% 88% 86% 82% 91% 81% 85% 86% 88% 87%

ABG ABg AB H j j JKL n QS

Healthcare workers(doctors, nurses,supporting staff)

1395 1424 1672 - - 1692 1671 771 900 466 415 428 361 482 273 815 482 647 541 952 690 151 5068% 71% 83% - - 84% 82% 78% 86% 78% 82% 85% 85% 79% 82% 84% 77% 88% 81% 83% 83% 84% 88%

AB AB AB H J J N QS

Surgical masks and gloves

1538 1479 1660 - - 1688 1651 768 883 460 407 421 362 478 277 794 477 647 527 948 673 161 4575% 73% 82% - - 84% 81% 78% 85% 77% 81% 84% 85% 78% 84% 82% 77% 88% 79% 83% 81% 89% 79%

AB ABg AB H J J n QS

Testing kits for COVID-19

1525 1547 1738 - - 1688 1631 755 876 487 398 400 346 483 275 777 451 655 525 924 674 148 4874% 77% 86% - - 84% 80% 77% 84% 81% 79% 80% 81% 79% 83% 81% 72% 89% 78% 81% 81% 82% 85%

ABG ABG AB H QS Q

Hospital ventilators (forassisted breathing)

1540 1554 1740 - - 1644 1593 751 842 465 401 388 339 467 271 761 438 637 519 899 662 151 4375% 77% 86% - - 82% 79% 76% 81% 78% 79% 77% 80% 77% 82% 79% 70% 87% 77% 79% 79% 84% 75%

ABFG ABG A H QS Q

Hospital beds (room forpatients)



20 Apr 2020Table 140Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?

Summary Of Not At All/Not Very Concerned






510 465 283 - - 369 436 236 199 133 103 114 85 142 61 204 186 99 151 245 174 30 1425% 23% 14% - - 18% 21% 24% 19% 22% 21% 23% 20% 23% 18% 21% 30% 13% 23% 21% 21% 16% 25%

CFG CF C CF I RS R

Hospital beds (room forpatients)

525 472 285 - - 325 398 232 166 111 106 102 79 126 57 188 172 80 145 220 161 33 926% 23% 14% - - 16% 20% 23% 16% 19% 21% 20% 19% 21% 17% 19% 28% 11% 22% 19% 19% 18% 15%

CFG CFG CF I RS R

Hospital ventilators (forassisted breathing)

512 540 363 - - 325 378 219 159 137 97 81 62 131 54 172 146 89 143 196 162 19 1225% 27% 18% - - 16% 19% 22% 15% 23% 19% 16% 15% 22% 16% 18% 23% 12% 21% 17% 19% 11% 21%

CFG CFG f I LM o R R


655 595 351 - - 321 358 216 142 131 90 74 63 127 59 150 141 89 129 192 145 29 732% 29% 17% - - 16% 18% 22% 14% 22% 18% 15% 15% 21% 18% 16% 23% 12% 19% 17% 17% 16% 12%

CFG CFG I LM P R R


442 401 243 - - 250 302 177 125 118 73 74 38 103 40 138 112 65 125 171 115 22 822% 20% 12% - - 12% 15% 18% 12% 20% 14% 15% 9% 17% 12% 14% 18% 9% 19% 15% 14% 12% 13%

CFG CFG Cf I klM M M o R R

Healthcare workers(doctors, nurses,supporting staff)__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


20 Apr 2020Table 141Q22_1 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?







1395 1424 1672 - - 1692 1671 771 900 466 415 428 361 482 273 815 482 647 541 952 690 151 5068% 71% 83% - - 84% 82% 78% 86% 78% 82% 85% 85% 79% 82% 84% 77% 88% 81% 83% 83% 84% 88%

AB AB AB H J J N QS


644 743 1089 - - 1068 1036 443 593 286 265 251 235 305 175 495 251 488 297 574 440 105 3831% 37% 54% - - 53% 51% 45% 57% 48% 52% 50% 55% 50% 53% 51% 40% 66% 44% 50% 53% 58% 68%

A AB AB AB H j QS

Very concerned

751 682 583 - - 624 635 328 307 181 150 178 126 177 98 320 232 159 245 378 250 46 1137% 34% 29% - - 31% 31% 33% 29% 30% 30% 35% 30% 29% 30% 33% 37% 22% 36% 33% 30% 25% 20%

CFG C R R

Somewhat concerned

655 595 351 - - 321 358 216 142 131 90 74 63 127 59 150 141 89 129 192 145 29 732% 29% 17% - - 16% 18% 22% 14% 22% 18% 15% 15% 21% 18% 16% 23% 12% 19% 17% 17% 16% 12%

CFG CFG I LM P R R


393 351 231 - - 215 235 150 85 81 55 43 55 79 40 100 83 61 91 129 98 21 619% 17% 11% - - 11% 12% 15% 8% 13% 11% 9% 13% 13% 12% 10% 13% 8% 14% 11% 12% 11% 10%

CFG CFG I L l R R

Not very concerned

262 243 120 - - 106 123 66 57 51 34 31 8 48 18 51 58 28 38 63 47 8 113% 12% 6% - - 5% 6% 7% 5% 8% 7% 6% 2% 8% 5% 5% 9% 4% 6% 6% 6% 5% 2%

CFG CFG M M M p RS


2050 2019 2023 - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?







1538 1479 1660 - - 1688 1651 768 883 460 407 421 362 478 277 794 477 647 527 948 673 161 4575% 73% 82% - - 84% 81% 78% 85% 77% 81% 84% 85% 78% 84% 82% 77% 88% 79% 83% 81% 89% 79%

AB ABg AB H J J n QS


834 828 1009 - - 1076 1018 470 548 277 246 251 244 284 193 478 235 496 288 568 433 106 3241% 41% 50% - - 53% 50% 48% 53% 46% 49% 50% 57% 47% 58% 49% 38% 67% 43% 50% 52% 59% 57%

AB ABcg AB h JKl NP QS

Very concerned

704 651 651 - - 612 633 298 335 183 161 170 118 194 85 316 242 151 239 380 240 56 1234% 32% 32% - - 30% 31% 30% 32% 31% 32% 34% 28% 32% 26% 33% 39% 21% 36% 33% 29% 31% 22%Fg o O R R u

Somewhat concerned

512 540 363 - - 325 378 219 159 137 97 81 62 131 54 172 146 89 143 196 162 19 1225% 27% 18% - - 16% 19% 22% 15% 23% 19% 16% 15% 22% 16% 18% 23% 12% 21% 17% 19% 11% 21%

CFG CFG f I LM o R R


309 343 250 - - 203 242 146 96 84 62 44 51 78 40 112 89 60 92 128 106 10 1015% 17% 12% - - 10% 12% 15% 9% 14% 12% 9% 12% 13% 12% 12% 14% 8% 14% 11% 13% 6% 18%

CFG CFG f I L R R V

Not very concerned

203 198 113 - - 122 136 74 62 53 35 37 11 54 15 60 57 29 51 68 56 9 210% 10% 6% - - 6% 7% 7% 6% 9% 7% 7% 3% 9% 4% 6% 9% 4% 8% 6% 7% 5% 3%

CFG CFG M M M O R R


2050 2019 2023 - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?

Hospital beds (room for patients)






1540 1554 1740 - - 1644 1593 751 842 465 401 388 339 467 271 761 438 637 519 899 662 151 4375% 77% 86% - - 82% 79% 76% 81% 78% 79% 77% 80% 77% 82% 79% 70% 87% 77% 79% 79% 84% 75%

ABFG ABG A H QS Q


766 857 1075 - - 959 882 391 491 281 218 213 170 269 166 409 209 434 239 489 373 92 2837% 42% 53% - - 48% 43% 40% 47% 47% 43% 42% 40% 44% 50% 42% 34% 59% 36% 43% 45% 51% 49%

A ABFG ABG A H m P QS

Very concerned

774 697 665 - - 685 712 360 352 184 183 175 169 199 105 352 229 203 280 410 289 59 1538% 35% 33% - - 34% 35% 36% 34% 31% 36% 35% 40% 33% 32% 36% 37% 28% 42% 36% 35% 33% 27%Cf J R R

Somewhat concerned

510 465 283 - - 369 436 236 199 133 103 114 85 142 61 204 186 99 151 245 174 30 1425% 23% 14% - - 18% 21% 24% 19% 22% 21% 23% 20% 23% 18% 21% 30% 13% 23% 21% 21% 16% 25%

CFG CF C CF I RS R


301 282 196 - - 255 287 158 129 78 72 67 70 84 42 140 124 63 101 167 114 22 815% 14% 10% - - 13% 14% 16% 12% 13% 14% 13% 17% 14% 13% 15% 20% 9% 15% 15% 14% 12% 13%C C C C i Rs R

Not very concerned

209 183 86 - - 114 148 78 70 55 31 47 15 58 19 64 62 36 50 79 59 7 610% 9% 4% - - 6% 7% 8% 7% 9% 6% 9% 3% 9% 6% 7% 10% 5% 8% 7% 7% 4% 11%

CFG CF Cf M M op R


2050 2019 2023 - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?

Hospital ventilators (for assisted breathing)






1525 1547 1738 - - 1688 1631 755 876 487 398 400 346 483 275 777 451 655 525 924 674 148 4874% 77% 86% - - 84% 80% 77% 84% 81% 79% 80% 81% 79% 83% 81% 72% 89% 78% 81% 81% 82% 85%

ABG ABG AB H QS Q


738 842 1151 - - 1047 961 416 544 293 239 233 194 292 171 449 233 460 268 531 408 97 3336% 42% 57% - - 52% 47% 42% 52% 49% 47% 46% 46% 48% 52% 47% 37% 63% 40% 46% 49% 54% 58%

A ABFG ABG AB H QS

Very concerned

787 705 586 - - 641 670 339 331 193 159 167 151 190 103 328 219 195 256 393 266 50 1538% 35% 29% - - 32% 33% 34% 32% 32% 32% 33% 36% 31% 31% 34% 35% 27% 38% 34% 32% 28% 26%

bCFG C C R R

Somewhat concerned

525 472 285 - - 325 398 232 166 111 106 102 79 126 57 188 172 80 145 220 161 33 926% 23% 14% - - 16% 20% 23% 16% 19% 21% 20% 19% 21% 17% 19% 28% 11% 22% 19% 19% 18% 15%

CFG CFG CF I RS R


322 280 189 - - 220 242 149 93 58 63 56 65 68 39 117 100 53 89 134 102 24 716% 14% 9% - - 11% 12% 15% 9% 10% 12% 11% 15% 11% 12% 12% 16% 7% 13% 12% 12% 13% 12%

CFG CF C I J R R

Not very concerned

203 192 96 - - 106 156 83 73 53 43 46 14 58 18 71 72 28 56 87 59 9 210% 9% 5% - - 5% 8% 8% 7% 9% 9% 9% 3% 10% 6% 7% 12% 4% 8% 8% 7% 5% 3%

CFG CF CF M M M o R R


2050 2019 2023 - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?

Healthcare workers (doctors, nurses, supporting staff)






1608 1618 1780 - - 1763 1727 810 917 480 432 429 387 506 292 827 511 671 545 973 721 159 4978% 80% 88% - - 88% 85% 82% 88% 80% 86% 85% 91% 83% 88% 86% 82% 91% 81% 85% 86% 88% 87%

ABG ABg AB H j j JKL n QS


863 940 1186 - - 1139 1123 486 636 302 273 280 268 337 198 529 305 512 306 637 466 114 4142% 47% 59% - - 57% 55% 49% 61% 51% 54% 56% 63% 55% 60% 55% 49% 70% 46% 56% 56% 63% 72%

A ABg AB AB H JKl QS

Very concerned

745 678 595 - - 623 605 324 281 178 158 149 119 169 95 298 206 159 240 336 255 45 836% 34% 29% - - 31% 30% 33% 27% 30% 31% 30% 28% 28% 29% 31% 33% 22% 36% 29% 30% 25% 14%

CFG CG I R R

Somewhat concerned

442 401 243 - - 250 302 177 125 118 73 74 38 103 40 138 112 65 125 171 115 22 822% 20% 12% - - 12% 15% 18% 12% 20% 14% 15% 9% 17% 12% 14% 18% 9% 19% 15% 14% 12% 13%

CFG CFG Cf I klM M M o R R


259 235 162 - - 149 189 116 73 67 44 48 30 61 28 86 66 39 84 114 71 11 213% 12% 8% - - 7% 9% 12% 7% 11% 9% 9% 7% 10% 8% 9% 11% 5% 13% 10% 8% 6% 3%

CFG CFg f I m R R

Not very concerned

183 166 81 - - 102 113 62 52 50 29 26 8 42 12 52 46 27 40 58 44 10 69% 8% 4% - - 5% 6% 6% 5% 8% 6% 5% 2% 7% 4% 5% 7% 4% 6% 5% 5% 6% 10%

CFG CFG c lM M M o R r


2050 2019 2023 - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 146FR10 Which is closer to your view?





- - - - 1993 - 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** -** -** 1993 -** 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - - - 314 - 427 253 174 208 121 68 30 142 52 219 125 163 139 254 152 33 7- - - - 16% - 21% 26% 17% 35% 24% 14% 7% 23% 16% 23% 20% 22% 21% 22% 18% 18% 12%

E I KLM LM M O O u

Large companies shoulddo everything possible tomake sure their customersget their products asquickly as possible even ifit means putting someemployees at risk

- - - - 1679 - 1602 734 868 390 384 435 394 467 280 746 498 573 531 890 683 148 50- - - - 84% - 79% 74% 83% 65% 76% 86% 93% 77% 84% 77% 80% 78% 79% 78% 82% 82% 88%

G H J JK JKL NP t

Large companies toppriority should be keepingits employees safe, even ifit means that customersneed to wait to get theirproducts

- - - - 1993 - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 147Q23 Which of the following sources do you get your information from regarding the coronavirus (COVID-19) outbreak? Please

select all that apply.





2050 2019 2023 2016 - 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base2050 2019 2023 2016 -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

1156 1038 1194 1169 - 1129 1079 507 572 253 248 294 283 318 192 499 329 419 332 595 469 83 2756% 51% 59% 58% - 56% 53% 51% 55% 42% 49% 59% 67% 52% 58% 52% 53% 57% 50% 52% 56% 46% 48%Bg BG BG B j JK JKL S

Local media

1133 1075 1186 1133 - 1063 986 484 501 219 238 239 289 262 170 498 284 392 309 574 400 101 3355% 53% 59% 56% - 53% 49% 49% 48% 37% 47% 48% 68% 43% 51% 52% 46% 53% 46% 50% 48% 56% 57%G G aBFG fG G J J JKL N N QS

National media

576 749 884 975 - 972 953 422 531 215 228 245 265 269 175 453 275 391 287 537 399 80 3028% 37% 44% 48% - 48% 47% 43% 51% 36% 45% 49% 62% 44% 53% 47% 44% 53% 43% 47% 48% 44% 53%

A AB ABC ABC ABc H J J JKL N QS

My governor

934 953 942 996 - 880 789 371 418 209 212 198 169 207 124 420 207 339 243 447 326 51 2846% 47% 47% 49% - 44% 39% 38% 40% 35% 42% 39% 40% 34% 37% 43% 33% 46% 36% 39% 39% 28% 50%G fG G aFG G J N QS V

CDC

711 773 855 883 - 837 785 394 391 194 200 200 191 205 138 404 215 310 259 445 326 62 1835% 38% 42% 44% - 42% 39% 40% 38% 32% 40% 40% 45% 34% 42% 42% 35% 42% 39% 39% 39% 34% 31%

a ABg ABG A A J J J N N Q

My local government

676 881 973 900 - 793 765 392 373 163 172 214 216 223 123 378 329 202 234 450 302 65 2233% 44% 48% 45% - 39% 38% 40% 36% 27% 34% 43% 51% 37% 37% 39% 53% 27% 35% 39% 36% 36% 38%

AFG ABdFG AFG A A J JK JKL RS R

The WhiteHouse/President

719 765 801 784 - 748 645 311 334 270 194 112 69 217 106 287 170 273 202 365 263 71 1735% 38% 40% 39% - 37% 32% 32% 32% 45% 39% 22% 16% 36% 32% 30% 27% 37% 30% 32% 31% 39% 29%

g G AG aG G kLM LM m P QS

Social media (e.g,Facebook, Instagram)

653 699 731 719 - 714 641 318 323 226 168 139 107 189 97 313 188 238 215 338 288 54 1532% 35% 36% 36% - 35% 32% 32% 31% 38% 33% 28% 25% 31% 29% 32% 30% 32% 32% 30% 34% 30% 27%

AG AG aG LM lM t

Friends and family

515 528 534 603 - 515 570 322 248 167 168 115 120 131 81 328 151 234 185 318 239 69 1425% 26% 26% 30% - 26% 28% 33% 24% 28% 33% 23% 28% 22% 24% 34% 24% 32% 28% 28% 29% 38% 25%

ABcF a I L NO Q

Doctors and nurses

422 468 528 470 - 469 440 235 205 160 137 88 54 93 69 251 132 172 136 250 177 57 821% 23% 26% 23% - 23% 22% 24% 20% 27% 27% 18% 13% 15% 21% 26% 21% 23% 20% 22% 21% 31% 13%

AbG i LM LM n N W

GovernmentPSA’s/website

234 236 219 249 - 252 233 149 83 92 83 37 20 52 21 147 60 90 82 142 85 37 311% 12% 11% 12% - 12% 11% 15% 8% 15% 16% 7% 5% 9% 6% 15% 10% 12% 12% 12% 10% 21% 6%

I LM LM NO W

Medical journals

54 63 50 76 - 47 48 23 26 9 6 20 14 16 11 16 14 14 21 28 19 3 13% 3% 2% 4% - 2% 2% 2% 2% 1% 1% 4% 3% 3% 3% 2% 2% 2% 3% 2% 2% 2% 1%

cFG JK k

Other

69 59 43 53 - 63 75 24 52 39 14 16 6 31 10 26 19 16 40 38 29 - 53% 3% 2% 3% - 3% 4% 2% 5% 6% 3% 3% 2% 5% 3% 3% 3% 2% 6% 3% 4% - 8%c C H KLM P QR V

None of the above

7853 8287 8940 9011 - 8482 8008 3950 4058 2215 2070 1919 1804 2212 1318 4019 2373 3090 2545 4528 3321 732 220383% 410% 442% 447% - 421% 395% 400% 389% 371% 410% 382% 425% 363% 397% 416% 381% 420% 380% 396% 398% 406% 387%

Sigma



20 Apr 2020Table 148Q24 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus

outbreak?

Summary Of Trustworthy






1911 1852 1900 1845 1844 1848 1818 874 944 494 435 477 411 522 310 873 561 673 583 1034 754 158 5593% 92% 94% 92% 93% 92% 90% 88% 91% 83% 86% 95% 97% 86% 93% 90% 90% 91% 87% 90% 90% 88% 97%G g BDFG g G g JK JK N N S

Doctors and nurses

- - - - - - 1688 817 871 458 406 438 385 460 281 840 514 631 543 954 704 154 51- - - - - - 83% 83% 84% 77% 81% 87% 91% 76% 85% 87% 82% 86% 81% 83% 84% 85% 89%

JK JK N N s

Scientists

1817 1791 1843 1804 1689 1727 1668 790 878 441 417 432 379 473 278 813 513 622 533 949 693 142 4889% 89% 91% 89% 85% 86% 82% 80% 84% 74% 83% 86% 89% 78% 84% 84% 82% 85% 80% 83% 83% 79% 84%

EFG EFG ABEFG EFG g G H J J JK N N s

CDC

- - - - - - 1657 793 864 453 410 425 369 468 275 811 495 638 524 946 678 149 46- - - - - - 82% 80% 83% 76% 81% 85% 87% 77% 83% 84% 79% 87% 78% 83% 81% 82% 80%

j J Jk n N QS

Local countyagencies/healthdepartments

1729 1736 1763 1793 1725 1686 1645 809 836 435 417 425 368 475 255 813 492 614 539 916 693 156 4484% 86% 87% 89% 87% 84% 81% 82% 80% 73% 83% 85% 87% 78% 77% 84% 79% 83% 80% 80% 83% 86% 77%G G AFG ABeFG FG g J J J NO q

Medical journals

1547 1549 1641 1639 1523 1566 1551 740 810 424 386 400 340 459 251 749 469 584 498 887 635 136 4575% 77% 81% 81% 76% 78% 76% 75% 78% 71% 77% 80% 80% 75% 76% 78% 75% 79% 74% 78% 76% 75% 79%

ABEFG ABEFG j J J s

My local government

1546 1532 1664 1596 1509 1537 1515 736 779 432 376 381 325 446 244 740 447 588 480 853 634 139 3775% 76% 82% 79% 76% 76% 75% 75% 75% 72% 75% 76% 77% 73% 74% 77% 72% 80% 72% 75% 76% 77% 66%

ABDEFG AbEfG QS

My governor

1435 1444 1475 1478 1516 1542 1497 723 774 399 383 386 329 446 240 717 468 562 467 843 626 136 4470% 72% 73% 73% 76% 77% 74% 73% 74% 67% 76% 77% 77% 73% 72% 74% 75% 76% 70% 74% 75% 75% 77%

a ABc ABCdg A J J J s S

Friends and family

1485 1493 1540 1521 1381 1541 1482 723 759 396 369 386 331 440 244 711 419 615 449 857 604 129 4372% 74% 76% 75% 69% 77% 73% 73% 73% 66% 73% 77% 78% 72% 74% 74% 67% 84% 67% 75% 72% 72% 75%

e E AEg aE AEG E J J J QS

Local media

1534 1566 1620 1616 1408 1436 1433 707 726 408 366 368 290 408 237 697 458 511 464 824 588 131 4175% 78% 80% 80% 71% 71% 71% 72% 70% 68% 73% 73% 68% 67% 71% 72% 74% 69% 69% 72% 70% 73% 72%

EfG EFG AEFG AEFG n

GovernmentPSA’s/website

- - - - - - 1416 664 752 430 364 336 286 407 233 687 351 625 440 815 568 140 38- - - - - - 70% 67% 72% 72% 72% 67% 67% 67% 70% 71% 56% 85% 66% 71% 68% 78% 66%

h QS Q

International healthorganizations (e.g., WorldHealth Organization)

1335 1317 1377 1381 1198 1301 1276 633 643 370 336 308 262 378 195 635 329 562 386 743 512 130 2665% 65% 68% 69% 60% 65% 63% 64% 62% 62% 67% 61% 62% 62% 59% 66% 53% 76% 58% 65% 61% 72% 46%E E EfG abEFG E o QS W

National media

1168 1235 1262 1240 1050 1086 1112 564 548 314 288 292 218 326 157 555 513 242 357 657 427 106 2857% 61% 62% 62% 53% 54% 55% 57% 53% 53% 57% 58% 51% 53% 47% 58% 82% 33% 53% 57% 51% 59% 50%E AEFG AEFG AEFG m O RS R U

The WhiteHouse/President

- - - - - - 876 494 382 273 307 232 64 206 106 524 275 313 288 517 346 103 19- - - - - - 43% 50% 37% 46% 61% 46% 15% 34% 32% 54% 44% 43% 43% 45% 41% 57% 34%

I M JLM M NO W

My employer

759 689 753 797 689 812 795 411 384 285 253 170 87 262 129 367 238 323 234 446 331 88 1537% 34% 37% 40% 35% 40% 39% 42% 37% 48% 50% 34% 20% 43% 39% 38% 38% 44% 35% 39% 40% 49% 26%

BE aBE BE i LM LM M qS W

Social media (e.g.,Facebook, Instagram)



20 Apr 2020Table 148Q24 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus

outbreak?

Summary Of Trustworthy





2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base- - - - 453 429 445 225 220 216 138 68 23 138 50 239 126 175 143 262 169 46 6- - - - 23% 21% 22% 23% 21% 36% 27% 14% 5% 23% 15% 25% 20% 24% 21% 23% 20% 26% 10%

KLM LM M O O w

Chinese President, XiJinping



20 Apr 2020Table 149Q24_1 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus

outbreak?

Social media (e.g., Facebook, Instagram)






759 689 753 797 689 812 795 411 384 285 253 170 87 262 129 367 238 323 234 446 331 88 1537% 34% 37% 40% 35% 40% 39% 42% 37% 48% 50% 34% 20% 43% 39% 38% 38% 44% 35% 39% 40% 49% 26%

BE aBE BE i LM LM M qS W

Very/SomewhatTrustworthy (Net)

179 174 174 209 169 217 192 122 71 83 67 35 7 66 16 109 61 91 41 126 64 27 39% 9% 9% 10% 8% 11% 9% 12% 7% 14% 13% 7% 2% 11% 5% 11% 10% 12% 6% 11% 8% 15% 5%

abce I LM LM M O O S S U

Very trustworthy

580 515 579 588 521 595 602 289 313 201 187 135 79 196 113 259 177 232 193 320 267 61 1228% 26% 29% 29% 26% 30% 30% 29% 30% 34% 37% 27% 19% 32% 34% 27% 28% 32% 29% 28% 32% 34% 21%

b Be Be BE LM LM M p P

Somewhat trustworthy

1291 1330 1270 1219 1304 1201 1234 576 658 313 251 332 338 347 203 598 385 412 436 699 504 93 4263% 66% 63% 60% 65% 60% 61% 58% 63% 52% 50% 66% 80% 57% 61% 62% 62% 56% 65% 61% 60% 51% 74%

f DFG DFG h JK JKL r R V

Not All/Not VeryTrustworthy (Net)

662 751 704 673 751 700 661 296 366 189 145 160 168 180 110 318 193 244 224 365 276 55 1632% 37% 35% 33% 38% 35% 33% 30% 35% 32% 29% 32% 40% 30% 33% 33% 31% 33% 33% 32% 33% 31% 28%

ADG ADG H JKL

Not very trustworthy

630 579 566 546 553 501 573 281 292 124 107 172 170 167 93 279 192 168 212 334 229 37 2631% 29% 28% 27% 28% 25% 28% 28% 28% 21% 21% 34% 40% 27% 28% 29% 31% 23% 32% 29% 27% 21% 46%DF F f f JK JK R R V

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

National media






1335 1317 1377 1381 1198 1301 1276 633 643 370 336 308 262 378 195 635 329 562 386 743 512 130 2665% 65% 68% 69% 60% 65% 63% 64% 62% 62% 67% 61% 62% 62% 59% 66% 53% 76% 58% 65% 61% 72% 46%E E EfG abEFG E o QS W


393 368 427 459 355 399 358 200 158 114 111 69 64 103 54 189 88 189 81 210 141 47 619% 18% 21% 23% 18% 20% 18% 20% 15% 19% 22% 14% 15% 17% 16% 20% 14% 26% 12% 18% 17% 26% 11%

bEG ABEfG I l LM QS w

Very trustworthy

942 949 950 922 843 902 919 433 486 256 225 239 198 275 141 446 241 373 305 533 371 84 2046% 47% 47% 46% 42% 45% 45% 44% 47% 43% 45% 48% 47% 45% 43% 46% 39% 51% 46% 47% 44% 46% 35%

e E E e Q Q


715 702 646 635 795 712 753 354 399 228 168 194 163 231 137 330 295 174 284 402 324 50 3135% 35% 32% 31% 40% 35% 37% 36% 38% 38% 33% 39% 38% 38% 41% 34% 47% 24% 42% 35% 39% 28% 54%

d d ABCDF cD CD p R R V


441 460 369 388 466 451 467 206 261 159 108 94 107 142 92 202 164 132 172 241 206 39 2322% 23% 18% 19% 23% 22% 23% 21% 25% 27% 21% 19% 25% 23% 28% 21% 26% 18% 26% 21% 25% 22% 40%C CD CD Cd CD h L l P R R V


274 242 277 247 329 261 286 148 137 69 60 100 56 88 45 128 131 42 112 160 117 11 813% 12% 14% 12% 16% 13% 14% 15% 13% 12% 12% 20% 13% 14% 13% 13% 21% 6% 17% 14% 14% 6% 13%

ABCDFg JKM R R

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Local media






1485 1493 1540 1521 1381 1541 1482 723 759 396 369 386 331 440 244 711 419 615 449 857 604 129 4372% 74% 76% 75% 69% 77% 73% 73% 73% 66% 73% 77% 78% 72% 74% 74% 67% 84% 67% 75% 72% 72% 75%

e E AEg aE AEG E J J J QS


419 418 440 470 374 432 404 218 186 109 118 91 85 132 67 194 103 219 83 233 165 36 820% 21% 22% 23% 19% 21% 20% 22% 18% 18% 23% 18% 20% 22% 20% 20% 16% 30% 12% 20% 20% 20% 14%

e aEG e i jl s QS

Very trustworthy

1066 1075 1100 1051 1008 1109 1078 505 573 287 250 295 246 308 177 517 316 396 366 624 439 93 3552% 53% 54% 52% 51% 55% 53% 51% 55% 48% 50% 59% 58% 51% 53% 54% 51% 54% 55% 54% 53% 52% 61%

e E JK JK


565 526 483 495 612 472 547 264 283 202 136 116 93 169 87 254 204 121 221 287 231 51 1428% 26% 24% 25% 31% 23% 27% 27% 27% 34% 27% 23% 22% 28% 26% 26% 33% 16% 33% 25% 28% 28% 25%

CdF aBCDFG cF KLM R R


360 355 320 328 415 322 352 167 185 125 82 73 72 102 64 163 129 74 149 173 157 37 1018% 18% 16% 16% 21% 16% 17% 17% 18% 21% 16% 14% 17% 17% 19% 17% 21% 10% 22% 15% 19% 20% 18%

ABCDFG L R R t


206 171 162 167 197 150 195 97 98 77 53 43 21 66 24 91 76 47 72 114 75 15 410% 8% 8% 8% 10% 7% 10% 10% 9% 13% 11% 9% 5% 11% 7% 9% 12% 6% 11% 10% 9% 8% 7%cF F F lM M m R R

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Medical journals






1729 1736 1763 1793 1725 1686 1645 809 836 435 417 425 368 475 255 813 492 614 539 916 693 156 4484% 86% 87% 89% 87% 84% 81% 82% 80% 73% 83% 85% 87% 78% 77% 84% 79% 83% 80% 80% 83% 86% 77%G G AFG ABeFG FG g J J J NO q


726 743 818 817 761 672 644 322 322 179 193 159 113 165 94 347 167 294 183 357 273 65 1335% 37% 40% 41% 38% 33% 32% 33% 31% 30% 38% 32% 27% 27% 28% 36% 27% 40% 27% 31% 33% 36% 22%G fG AbFG AbFG FG JlM NO QS

Very trustworthy

1002 994 945 976 964 1014 1001 486 515 257 223 266 254 311 161 466 325 320 356 559 420 90 3149% 49% 47% 48% 48% 50% 49% 49% 49% 43% 44% 53% 60% 51% 49% 48% 52% 43% 53% 49% 50% 50% 55%

c JK JKl R R


321 283 260 223 268 327 384 178 206 162 88 77 57 134 77 152 132 121 131 228 142 25 1316% 14% 13% 11% 13% 16% 19% 18% 20% 27% 17% 15% 13% 22% 23% 16% 21% 17% 20% 20% 17% 14% 23%

CD D d CDE ABCDEf KLM P P r


230 211 172 152 199 216 247 124 124 101 52 50 43 68 63 106 94 75 78 149 89 21 811% 10% 9% 8% 10% 11% 12% 13% 12% 17% 10% 10% 10% 11% 19% 11% 15% 10% 12% 13% 11% 12% 13%

CD D D cD CDe KLM NP R


91 72 88 70 69 111 137 55 82 61 35 27 13 66 14 47 37 47 53 79 54 4 64% 4% 4% 3% 3% 5% 7% 6% 8% 10% 7% 5% 3% 11% 4% 5% 6% 6% 8% 7% 6% 2% 10%

BDE ABCDE h LM M OP V

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Government PSA’s/website






1534 1566 1620 1616 1408 1436 1433 707 726 408 366 368 290 408 237 697 458 511 464 824 588 131 4175% 78% 80% 80% 71% 71% 71% 72% 70% 68% 73% 73% 68% 67% 71% 72% 74% 69% 69% 72% 70% 73% 72%

EfG EFG AEFG AEFG n


502 463 571 550 414 383 378 187 191 144 98 87 49 117 48 193 119 157 102 212 159 37 625% 23% 28% 27% 21% 19% 19% 19% 18% 24% 19% 17% 12% 19% 14% 20% 19% 21% 15% 19% 19% 20% 11%

EFG FG ABEFG BEFG LM M M o S

Very trustworthy

1032 1103 1049 1066 994 1053 1055 520 535 264 268 282 242 291 189 505 340 353 363 613 429 95 3550% 55% 52% 53% 50% 52% 52% 53% 51% 44% 53% 56% 57% 48% 57% 52% 54% 48% 54% 54% 51% 52% 61%

AE J J J N R r


516 453 403 400 585 577 596 280 316 189 138 134 134 201 95 268 165 225 206 320 248 49 1625% 22% 20% 20% 29% 29% 29% 28% 30% 32% 27% 27% 32% 33% 29% 28% 26% 31% 31% 28% 30% 27% 28%

CD ABCD aBCD ABCD p


360 313 271 272 382 427 369 182 187 109 83 94 83 114 67 170 105 131 133 205 151 34 318% 16% 13% 13% 19% 21% 18% 18% 18% 18% 16% 19% 20% 19% 20% 18% 17% 18% 20% 18% 18% 19% 5%

CD BCD ABCDg bCD W


156 140 133 128 203 150 227 98 129 80 56 40 51 88 28 98 60 94 73 115 97 15 138% 7% 7% 6% 10% 7% 11% 10% 12% 13% 11% 8% 12% 14% 9% 10% 10% 13% 11% 10% 12% 8% 23%

ABCDF ABCDF L l OP V

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

CDC






1817 1791 1843 1804 1689 1727 1668 790 878 441 417 432 379 473 278 813 513 622 533 949 693 142 4889% 89% 91% 89% 85% 86% 82% 80% 84% 74% 83% 86% 89% 78% 84% 84% 82% 85% 80% 83% 83% 79% 84%

EFG EFG ABEFG EFG g G H J J JK N N s


1021 992 1129 1087 893 845 807 366 441 234 209 185 180 238 136 395 211 371 225 447 350 68 2550% 49% 56% 54% 45% 42% 40% 37% 42% 39% 41% 37% 42% 39% 41% 41% 34% 50% 34% 39% 42% 38% 45%

EFG EFG ABEFG ABEFG G h QS

Very trustworthy

796 799 715 717 796 882 861 424 437 206 208 247 199 235 143 419 303 251 308 502 343 74 2239% 40% 35% 36% 40% 44% 42% 43% 42% 35% 41% 49% 47% 39% 43% 43% 49% 34% 46% 44% 41% 41% 39%cd CD CD ABCDe aCD j JK J R R


233 228 180 212 304 286 361 197 164 157 88 70 46 136 54 152 110 114 137 195 142 38 911% 11% 9% 11% 15% 14% 18% 20% 16% 26% 17% 14% 11% 22% 16% 16% 18% 15% 20% 17% 17% 21% 16%C C ABCD ABCD ABCDeF I KLM M OP r


160 169 113 144 220 193 239 128 111 101 55 49 33 73 42 113 70 76 94 129 93 28 58% 8% 6% 7% 11% 10% 12% 13% 11% 17% 11% 10% 8% 12% 13% 12% 11% 10% 14% 11% 11% 15% 9%C C ABCD CD ABCDf KLM r


72 59 66 68 84 93 122 69 53 56 32 21 12 63 11 39 40 38 43 66 50 11 44% 3% 3% 3% 4% 5% 6% 7% 5% 9% 6% 4% 3% 10% 3% 4% 6% 5% 6% 6% 6% 6% 7%

b Bc ABCDE LM M OP

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Friends and family






1435 1444 1475 1478 1516 1542 1497 723 774 399 383 386 329 446 240 717 468 562 467 843 626 136 4470% 72% 73% 73% 76% 77% 74% 73% 74% 67% 76% 77% 77% 73% 72% 74% 75% 76% 70% 74% 75% 75% 77%

a ABc ABCdg A J J J s S


454 455 427 475 522 469 439 232 208 119 138 96 86 130 77 213 152 175 112 249 182 41 822% 23% 21% 24% 26% 23% 22% 23% 20% 20% 27% 19% 20% 21% 23% 22% 24% 24% 17% 22% 22% 23% 14%

ABCfG JLM S S

Very trustworthy

981 989 1049 1004 994 1073 1057 491 566 280 244 290 243 316 163 504 316 387 354 595 445 95 3648% 49% 52% 50% 50% 53% 52% 50% 54% 47% 48% 58% 57% 52% 49% 52% 51% 53% 53% 52% 53% 53% 63%

A ABde A h JK JK


615 575 548 538 477 471 532 264 268 199 122 116 96 163 92 248 156 174 203 301 209 45 1330% 28% 27% 27% 24% 23% 26% 27% 26% 33% 24% 23% 23% 27% 28% 26% 25% 24% 30% 26% 25% 25% 23%

dEFG EF eF f f KLM qR


463 445 426 407 359 381 381 189 192 123 90 88 81 106 68 188 113 123 146 217 153 38 923% 22% 21% 20% 18% 19% 19% 19% 18% 21% 18% 18% 19% 17% 21% 19% 18% 17% 22% 19% 18% 21% 16%

EFG EfG e r


152 130 122 131 118 90 151 75 76 76 32 28 15 57 24 60 43 51 57 84 56 6 47% 6% 6% 7% 6% 4% 7% 8% 7% 13% 6% 6% 4% 9% 7% 6% 7% 7% 9% 7% 7% 3% 7%F F f F F KLM p

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Doctors and nurses






1911 1852 1900 1845 1844 1848 1818 874 944 494 435 477 411 522 310 873 561 673 583 1034 754 158 5593% 92% 94% 92% 93% 92% 90% 88% 91% 83% 86% 95% 97% 86% 93% 90% 90% 91% 87% 90% 90% 88% 97%G g BDFG g G g JK JK N N S


1104 1038 1190 1203 1193 1046 1068 508 560 273 254 278 263 287 165 554 311 450 307 628 429 94 2854% 51% 59% 60% 60% 52% 53% 51% 54% 46% 50% 55% 62% 47% 50% 57% 50% 61% 46% 55% 51% 52% 49%

ABFG ABFG ABFG J JKl NO QS

Very trustworthy

806 814 710 642 651 802 750 366 384 221 182 200 148 235 145 320 250 223 277 405 324 64 2739% 40% 35% 32% 33% 40% 37% 37% 37% 37% 36% 40% 35% 39% 44% 33% 40% 30% 41% 35% 39% 36% 48%

CDE CDEg d CDE DE p P R R


139 167 123 171 149 165 211 114 98 104 69 25 13 87 22 92 62 63 87 111 82 22 27% 8% 6% 8% 7% 8% 10% 12% 9% 17% 14% 5% 3% 14% 7% 10% 10% 9% 13% 10% 10% 12% 3%

C C C AbCdEf LM LM OP R


89 132 82 116 99 109 126 75 50 64 40 13 9 46 15 61 37 42 47 67 46 19 14% 7% 4% 6% 5% 5% 6% 8% 5% 11% 8% 3% 2% 8% 4% 6% 6% 6% 7% 6% 6% 11% 1%

ACe c AC I LM LM w


50 36 41 55 51 56 86 38 48 41 29 12 4 41 7 31 25 21 40 43 36 3 12% 2% 2% 3% 3% 3% 4% 4% 5% 7% 6% 2% 1% 7% 2% 3% 4% 3% 6% 4% 4% 1% 2%

b ABCDEF LM LM OP R

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

The White House/President






1168 1235 1262 1240 1050 1086 1112 564 548 314 288 292 218 326 157 555 513 242 357 657 427 106 2857% 61% 62% 62% 53% 54% 55% 57% 53% 53% 57% 58% 51% 53% 47% 58% 82% 33% 53% 57% 51% 59% 50%E AEFG AEFG AEFG m O RS R U


496 556 589 595 493 504 479 264 215 126 119 125 108 137 71 247 267 98 114 264 202 43 1324% 28% 29% 30% 25% 25% 24% 27% 21% 21% 24% 25% 25% 22% 21% 26% 43% 13% 17% 23% 24% 24% 23%

aG AEFG AEFG I RS

Very trustworthy

671 680 673 645 557 582 633 300 334 188 169 167 110 189 86 308 246 144 244 393 225 62 1533% 34% 33% 32% 28% 29% 31% 30% 32% 31% 34% 33% 26% 31% 26% 32% 39% 20% 36% 34% 27% 35% 27%EF EF EF Ef e M M o R R U


882 784 761 776 943 927 917 424 493 284 217 210 207 284 174 410 110 494 313 488 408 75 2943% 39% 38% 38% 47% 46% 45% 43% 47% 47% 43% 42% 49% 47% 53% 42% 18% 67% 47% 43% 49% 41% 50%

BCD ABCD BCD BCD l P QS Q T


385 376 322 319 374 407 340 160 180 142 86 59 54 120 55 151 53 158 130 183 150 31 1119% 19% 16% 16% 19% 20% 17% 16% 17% 24% 17% 12% 13% 20% 17% 16% 8% 21% 19% 16% 18% 17% 20%cd cd cd CDG KLM L p Q Q


497 408 439 457 568 520 577 263 314 142 131 151 153 164 119 259 58 336 183 304 258 43 1724% 20% 22% 23% 29% 26% 28% 27% 30% 24% 26% 30% 36% 27% 36% 27% 9% 46% 27% 27% 31% 24% 30%B ABCD BCd ABCD J JK NP QS Q t

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

My governor






1546 1532 1664 1596 1509 1537 1515 736 779 432 376 381 325 446 244 740 447 588 480 853 634 139 3775% 76% 82% 79% 76% 76% 75% 75% 75% 72% 75% 76% 77% 73% 74% 77% 72% 80% 72% 75% 76% 77% 66%

ABDEFG AbEfG QS


525 550 668 705 618 682 607 283 324 172 153 141 141 182 94 298 153 293 161 335 267 64 2126% 27% 33% 35% 31% 34% 30% 29% 31% 29% 30% 28% 33% 30% 28% 31% 25% 40% 24% 29% 32% 36% 36%

ABg ABEG AB ABG A QS

Very trustworthy

1022 982 996 891 891 855 908 453 455 259 224 240 185 264 151 442 294 296 319 518 368 74 1750% 49% 49% 44% 45% 42% 45% 46% 44% 43% 44% 48% 44% 43% 45% 46% 47% 40% 48% 45% 44% 41% 29%

DEFG DeFg DEFG R R


504 487 359 420 484 476 514 251 263 166 128 121 99 164 88 225 177 148 190 292 201 42 2025% 24% 18% 21% 24% 24% 25% 25% 25% 28% 25% 24% 23% 27% 26% 23% 28% 20% 28% 25% 24% 23% 34%

CD Cd C CD Cd CD R R


338 320 218 259 306 293 330 164 166 106 82 70 72 107 58 141 117 102 112 189 127 31 1316% 16% 11% 13% 15% 15% 16% 17% 16% 18% 16% 14% 17% 18% 18% 15% 19% 14% 17% 17% 15% 17% 23%

CD CD Cd C CD R


166 166 141 161 179 183 184 87 97 59 46 51 28 56 29 84 60 46 78 103 74 10 78% 8% 7% 8% 9% 9% 9% 9% 9% 10% 9% 10% 6% 9% 9% 9% 10% 6% 12% 9% 9% 6% 12%

c c C r R

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

My local government






1547 1549 1641 1639 1523 1566 1551 740 810 424 386 400 340 459 251 749 469 584 498 887 635 136 4575% 77% 81% 81% 76% 78% 76% 75% 78% 71% 77% 80% 80% 75% 76% 78% 75% 79% 74% 78% 76% 75% 79%

ABEFG ABEFG j J J s


448 464 553 586 485 514 510 257 252 146 140 102 122 159 73 253 147 230 132 297 203 52 1322% 23% 27% 29% 24% 26% 25% 26% 24% 24% 28% 20% 29% 26% 22% 26% 24% 31% 20% 26% 24% 29% 23%

ABe ABEFG A a L L QS

Very trustworthy

1098 1085 1088 1053 1039 1052 1041 483 558 278 246 298 218 300 178 496 321 354 366 590 431 83 3254% 54% 54% 52% 52% 52% 51% 49% 54% 46% 49% 59% 51% 49% 54% 51% 52% 48% 55% 52% 52% 46% 56%

h JKm r


503 470 382 377 470 447 478 247 231 174 118 103 84 150 81 217 155 152 172 257 201 45 1225% 23% 19% 19% 24% 22% 24% 25% 22% 29% 23% 20% 20% 25% 24% 22% 25% 21% 26% 22% 24% 25% 21%

CD CD CD CD CD kLM r


330 318 253 269 314 297 323 171 153 107 79 77 61 92 63 147 103 110 110 187 129 31 916% 16% 13% 13% 16% 15% 16% 17% 15% 18% 16% 15% 14% 15% 19% 15% 17% 15% 16% 16% 15% 17% 15%Cd Cd Cd c Cd


174 152 129 108 156 150 155 76 79 67 39 26 23 59 18 70 51 41 63 71 72 14 38% 8% 6% 5% 8% 7% 8% 8% 8% 11% 8% 5% 6% 10% 5% 7% 8% 6% 9% 6% 9% 7% 6%

CD D D D D LM O R t

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Chinese President, Xi Jinping






- - - - 453 429 445 225 220 216 138 68 23 138 50 239 126 175 143 262 169 46 6- - - - 23% 21% 22% 23% 21% 36% 27% 14% 5% 23% 15% 25% 20% 24% 21% 23% 20% 26% 10%

KLM LM M O O w


- - - - 133 128 129 75 54 59 50 17 3 40 7 81 46 51 32 77 49 20 -- - - - 7% 6% 6% 8% 5% 10% 10% 3% 1% 7% 2% 8% 7% 7% 5% 7% 6% 11% -

i LM LM M O O W

Very trustworthy

- - - - 320 301 316 150 166 157 88 51 20 98 42 158 80 124 111 184 119 27 6- - - - 16% 15% 16% 15% 16% 26% 17% 10% 5% 16% 13% 16% 13% 17% 17% 16% 14% 15% 10%

KLM LM M q


- - - - 1540 1584 1584 762 822 382 367 434 402 471 282 726 497 560 527 883 667 134 51- - - - 77% 79% 78% 77% 79% 64% 73% 86% 95% 77% 85% 75% 80% 76% 79% 77% 80% 74% 90%

J JK JKL NP v


- - - - 567 550 522 280 242 160 135 121 105 167 101 219 116 233 173 297 211 58 9- - - - 28% 27% 26% 28% 23% 27% 27% 24% 25% 27% 30% 23% 19% 32% 26% 26% 25% 32% 16%

I p P Qs Q w


- - - - 973 1034 1062 482 581 221 232 313 296 305 181 508 381 327 354 586 456 76 42- - - - 49% 51% 52% 49% 56% 37% 46% 62% 70% 50% 54% 53% 61% 45% 53% 51% 55% 42% 74%

e H J JK JKl RS R V

Not all trustworthy

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

My employer






- - - - - - 876 494 382 273 307 232 64 206 106 524 275 313 288 517 346 103 19- - - - - - 43% 50% 37% 46% 61% 46% 15% 34% 32% 54% 44% 43% 43% 45% 41% 57% 34%

I M JLM M NO W


- - - - - - 308 187 121 107 113 66 22 74 33 195 96 135 76 192 113 33 5- - - - - - 15% 19% 12% 18% 22% 13% 5% 12% 10% 20% 15% 18% 11% 17% 14% 18% 9%

I lM LM M NO s S

Very trustworthy

- - - - - - 568 308 261 166 194 167 42 132 73 329 179 177 212 325 232 71 14- - - - - - 28% 31% 25% 28% 38% 33% 10% 22% 22% 34% 29% 24% 32% 28% 28% 39% 25%

I M JM M NO R


- - - - - - 416 221 194 192 98 90 35 147 80 175 118 151 147 239 155 31 10- - - - - - 20% 22% 19% 32% 20% 18% 8% 24% 24% 18% 19% 21% 22% 21% 19% 17% 18%

i KLM M M P P


- - - - - - 297 171 125 139 68 62 28 111 56 122 85 106 106 170 115 28 8- - - - - - 15% 17% 12% 23% 13% 12% 7% 18% 17% 13% 14% 14% 16% 15% 14% 16% 13%

I KLM M M P


- - - - - - 119 50 69 53 31 28 7 36 24 53 33 45 41 68 40 3 3- - - - - - 6% 5% 7% 9% 6% 6% 2% 6% 7% 5% 5% 6% 6% 6% 5% 2% 5%

lM M M

Not all trustworthy

- - - - - - 737 272 466 133 99 180 326 256 146 266 231 272 235 389 335 46 28- - - - - - 36% 28% 45% 22% 20% 36% 77% 42% 44% 28% 37% 37% 35% 34% 40% 25% 48%

H JK JKL P P T V

Not applicable

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Local county agencies/health departments






- - - - - - 1657 793 864 453 410 425 369 468 275 811 495 638 524 946 678 149 46- - - - - - 82% 80% 83% 76% 81% 85% 87% 77% 83% 84% 79% 87% 78% 83% 81% 82% 80%

j J Jk n N QS


- - - - - - 586 282 303 159 157 127 142 176 97 283 154 272 159 338 240 51 13- - - - - - 29% 29% 29% 27% 31% 25% 34% 29% 29% 29% 25% 37% 24% 30% 29% 28% 23%

l jL QS

Very trustworthy

- - - - - - 1071 511 560 294 253 298 226 292 178 528 341 366 364 608 438 97 32- - - - - - 53% 52% 54% 49% 50% 59% 53% 48% 54% 55% 55% 50% 54% 53% 52% 54% 57%

JK N


- - - - - - 372 194 178 144 95 77 56 141 57 154 128 98 146 198 157 32 11- - - - - - 18% 20% 17% 24% 19% 15% 13% 23% 17% 16% 21% 13% 22% 17% 19% 18% 20%

kLM m oP R R


- - - - - - 235 118 117 79 58 53 45 78 42 101 83 60 91 118 102 24 4- - - - - - 12% 12% 11% 13% 12% 10% 11% 13% 13% 10% 13% 8% 14% 10% 12% 13% 7%

R R


- - - - - - 138 76 61 66 37 25 11 63 15 53 45 38 55 80 55 8 7- - - - - - 7% 8% 6% 11% 7% 5% 3% 10% 4% 6% 7% 5% 8% 7% 7% 4% 13%

kLM M OP r v

Not all trustworthy

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

International health organizations (e.g., World Health Organization)






- - - - - - 1416 664 752 430 364 336 286 407 233 687 351 625 440 815 568 140 38- - - - - - 70% 67% 72% 72% 72% 67% 67% 67% 70% 71% 56% 85% 66% 71% 68% 78% 66%

h QS Q


- - - - - - 649 291 357 210 181 132 125 176 112 332 141 342 165 380 257 71 20- - - - - - 32% 30% 34% 35% 36% 26% 29% 29% 34% 34% 23% 46% 25% 33% 31% 39% 35%

h L Lm n QS

Very trustworthy

- - - - - - 767 373 394 221 183 203 161 231 121 355 210 283 275 435 311 69 18- - - - - - 38% 38% 38% 37% 36% 40% 38% 38% 37% 37% 34% 38% 41% 38% 37% 38% 31%

Q


- - - - - - 613 323 290 167 140 167 139 202 99 278 272 111 230 329 268 40 19- - - - - - 30% 33% 28% 28% 28% 33% 33% 33% 30% 29% 44% 15% 34% 29% 32% 22% 34%

i RS R


- - - - - - 300 164 136 97 75 69 59 100 50 139 115 70 115 168 122 26 9- - - - - - 15% 17% 13% 16% 15% 14% 14% 16% 15% 14% 18% 10% 17% 15% 15% 14% 16%

i R R


- - - - - - 313 159 154 70 65 98 80 102 49 139 157 41 115 162 146 14 10- - - - - - 15% 16% 15% 12% 13% 19% 19% 17% 15% 14% 25% 6% 17% 14% 17% 8% 18%

JK JK RS R v

Not all trustworthy

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?

Scientists






- - - - - - 1688 817 871 458 406 438 385 460 281 840 514 631 543 954 704 154 51- - - - - - 83% 83% 84% 77% 81% 87% 91% 76% 85% 87% 82% 86% 81% 83% 84% 85% 89%

JK JK N N s


- - - - - - 891 428 463 249 236 211 195 238 152 456 219 416 256 501 375 91 24- - - - - - 44% 43% 44% 42% 47% 42% 46% 39% 46% 47% 35% 57% 38% 44% 45% 51% 43%

n N QS

Very trustworthy

- - - - - - 797 389 409 210 170 227 190 222 129 384 294 216 287 453 328 63 26- - - - - - 39% 39% 39% 35% 34% 45% 45% 36% 39% 40% 47% 29% 43% 40% 39% 35% 46%

JK JK R R


- - - - - - 341 170 170 139 98 64 39 149 51 125 110 104 127 190 132 27 6- - - - - - 17% 17% 16% 23% 19% 13% 9% 24% 15% 13% 18% 14% 19% 17% 16% 15% 11%

LM LM OP r


- - - - - - 240 121 120 88 70 48 35 97 37 100 70 81 89 143 81 24 5- - - - - - 12% 12% 11% 15% 14% 10% 8% 16% 11% 10% 11% 11% 13% 12% 10% 13% 9%

LM lM oP


- - - - - - 100 50 51 51 29 16 5 52 15 25 39 23 38 48 50 3 1- - - - - - 5% 5% 5% 9% 6% 3% 1% 9% 4% 3% 6% 3% 6% 4% 6% 2% 2%

LM M m OP R r

Not all trustworthy

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 165MED01 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?

Summary Of Increased






- - - 1135 1194 1183 1147 563 584 411 326 246 164 330 184 580 321 473 354 661 458 119 33- - - 56% 60% 59% 57% 57% 56% 69% 65% 49% 39% 54% 55% 60% 51% 64% 53% 58% 55% 66% 57%

dg LM LM M n QS

Smartphone/tablet

- - - 1147 1059 1132 1062 525 537 307 289 247 218 295 189 536 306 463 294 655 392 126 34- - - 57% 53% 56% 52% 53% 52% 51% 57% 49% 51% 48% 57% 55% 49% 63% 44% 57% 47% 70% 59%

eG G L N N QS U

TV (cable or broadcast)

- - - 1015 1051 1098 1031 519 512 390 316 202 123 288 167 535 294 437 300 602 414 121 28- - - 50% 53% 55% 51% 53% 49% 65% 63% 40% 29% 47% 50% 55% 47% 59% 45% 53% 50% 67% 48%

Dg LM LM M N QS W

Streaming TV (e.g.,Netflix, Apple TV)

- - - 704 719 711 697 370 326 233 191 130 143 188 99 384 205 285 207 420 263 91 21- - - 35% 36% 35% 34% 38% 31% 39% 38% 26% 34% 31% 30% 40% 33% 39% 31% 37% 31% 50% 37%

I L L L NO qS U

Books

- - - 378 397 443 385 236 150 138 123 75 49 97 45 234 117 163 105 251 125 65 9- - - 19% 20% 22% 19% 24% 14% 23% 24% 15% 12% 16% 14% 24% 19% 22% 16% 22% 15% 36% 17%

Dg I LM LM NO S U W

Magazines




Summary Of Decreased






- - - 318 331 329 336 186 150 135 103 55 44 137 63 125 100 114 122 188 130 26 8- - - 16% 17% 16% 17% 19% 14% 23% 20% 11% 10% 22% 19% 13% 16% 15% 18% 16% 16% 14% 13%

I LM LM P P

Magazines

- - - 230 241 250 259 140 119 116 59 51 33 100 44 102 82 100 77 139 106 26 6- - - 11% 12% 12% 13% 14% 11% 19% 12% 10% 8% 16% 13% 11% 13% 14% 11% 12% 13% 14% 11%

KLM P

Books

- - - 184 182 154 190 110 81 81 35 32 42 67 35 79 68 51 72 101 71 14 8- - - 9% 9% 8% 9% 11% 8% 14% 7% 6% 10% 11% 11% 8% 11% 7% 11% 9% 9% 8% 13%

I KL R R


- - - 146 191 168 177 115 62 84 49 29 15 64 21 85 46 56 75 94 66 11 8- - - 7% 10% 8% 9% 12% 6% 14% 10% 6% 3% 11% 6% 9% 7% 8% 11% 8% 8% 6% 15%

D I kLM LM o qr v


- - - 134 143 150 143 84 59 68 34 25 16 49 27 61 42 46 54 79 52 16 4- - - 7% 7% 7% 7% 8% 6% 11% 7% 5% 4% 8% 8% 6% 7% 6% 8% 7% 6% 9% 6%

I KLM

Smartphone/tablet




Summary Of About The Same






- - - 1320 1265 1241 1307 566 742 325 278 372 332 375 224 605 406 459 443 706 580 89 40- - - 65% 63% 62% 64% 57% 71% 54% 55% 74% 78% 62% 68% 63% 65% 62% 66% 62% 69% 49% 70%

F H JK JK T V

Magazines

- - - 1082 1033 1052 1073 476 597 249 254 322 248 322 189 480 337 351 386 585 466 64 30- - - 54% 52% 52% 53% 48% 57% 42% 50% 64% 59% 53% 57% 50% 54% 48% 58% 51% 56% 35% 53%

H J JK Jk p r R t v

Books

- - - 817 760 761 808 359 449 127 153 268 260 254 130 350 261 248 299 441 350 45 22- - - 41% 38% 38% 40% 36% 43% 21% 30% 53% 61% 42% 39% 36% 42% 34% 45% 39% 42% 25% 38%

H J JK JKl p R R


- - - 723 743 713 790 348 442 206 166 226 191 250 122 344 272 217 301 395 377 44 15- - - 36% 37% 35% 39% 35% 42% 34% 33% 45% 45% 41% 37% 36% 44% 29% 45% 35% 45% 24% 26%

f H JK JK p R R T


- - - 747 656 679 739 340 399 118 144 232 245 230 121 325 261 217 262 405 325 46 21- - - 37% 33% 34% 36% 34% 38% 20% 29% 46% 58% 38% 37% 34% 42% 29% 39% 35% 39% 26% 36%

Ef e J JK JKL R R

Smartphone/tablet



20 Apr 2020Table 168MED01_1 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?







- - - 1147 1059 1132 1062 525 537 307 289 247 218 295 189 536 306 463 294 655 392 126 34- - - 57% 53% 56% 52% 53% 52% 51% 57% 49% 51% 48% 57% 55% 49% 63% 44% 57% 47% 70% 59%

eG G L N N QS U

Increased

- - - 146 191 168 177 115 62 84 49 29 15 64 21 85 46 56 75 94 66 11 8- - - 7% 10% 8% 9% 12% 6% 14% 10% 6% 3% 11% 6% 9% 7% 8% 11% 8% 8% 6% 15%

D I kLM LM o qr v

Decreased

- - - 723 743 713 790 348 442 206 166 226 191 250 122 344 272 217 301 395 377 44 15- - - 36% 37% 35% 39% 35% 42% 34% 33% 45% 45% 41% 37% 36% 44% 29% 45% 35% 45% 24% 26%

f H JK JK p R R T

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Streaming TV (e.g., Netflix, Apple TV)






- - - 1015 1051 1098 1031 519 512 390 316 202 123 288 167 535 294 437 300 602 414 121 28- - - 50% 53% 55% 51% 53% 49% 65% 63% 40% 29% 47% 50% 55% 47% 59% 45% 53% 50% 67% 48%

Dg LM LM M N QS W

Increased

- - - 184 182 154 190 110 81 81 35 32 42 67 35 79 68 51 72 101 71 14 8- - - 9% 9% 8% 9% 11% 8% 14% 7% 6% 10% 11% 11% 8% 11% 7% 11% 9% 9% 8% 13%

I KL R R

Decreased

- - - 817 760 761 808 359 449 127 153 268 260 254 130 350 261 248 299 441 350 45 22- - - 41% 38% 38% 40% 36% 43% 21% 30% 53% 61% 42% 39% 36% 42% 34% 45% 39% 42% 25% 38%

H J JK JKl p R R

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Smartphone/tablet






- - - 1135 1194 1183 1147 563 584 411 326 246 164 330 184 580 321 473 354 661 458 119 33- - - 56% 60% 59% 57% 57% 56% 69% 65% 49% 39% 54% 55% 60% 51% 64% 53% 58% 55% 66% 57%

dg LM LM M n QS

Increased

- - - 134 143 150 143 84 59 68 34 25 16 49 27 61 42 46 54 79 52 16 4- - - 7% 7% 7% 7% 8% 6% 11% 7% 5% 4% 8% 8% 6% 7% 6% 8% 7% 6% 9% 6%

I KLM

Decreased

- - - 747 656 679 739 340 399 118 144 232 245 230 121 325 261 217 262 405 325 46 21- - - 37% 33% 34% 36% 34% 38% 20% 29% 46% 58% 38% 37% 34% 42% 29% 39% 35% 39% 26% 36%

Ef e J JK JKL R R

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Magazines






- - - 378 397 443 385 236 150 138 123 75 49 97 45 234 117 163 105 251 125 65 9- - - 19% 20% 22% 19% 24% 14% 23% 24% 15% 12% 16% 14% 24% 19% 22% 16% 22% 15% 36% 17%

Dg I LM LM NO S U W

Increased

- - - 318 331 329 336 186 150 135 103 55 44 137 63 125 100 114 122 188 130 26 8- - - 16% 17% 16% 17% 19% 14% 23% 20% 11% 10% 22% 19% 13% 16% 15% 18% 16% 16% 14% 13%

I LM LM P P

Decreased

- - - 1320 1265 1241 1307 566 742 325 278 372 332 375 224 605 406 459 443 706 580 89 40- - - 65% 63% 62% 64% 57% 71% 54% 55% 74% 78% 62% 68% 63% 65% 62% 66% 62% 69% 49% 70%

F H JK JK T V

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Books






- - - 704 719 711 697 370 326 233 191 130 143 188 99 384 205 285 207 420 263 91 21- - - 35% 36% 35% 34% 38% 31% 39% 38% 26% 34% 31% 30% 40% 33% 39% 31% 37% 31% 50% 37%

I L L L NO qS U

Increased

- - - 230 241 250 259 140 119 116 59 51 33 100 44 102 82 100 77 139 106 26 6- - - 11% 12% 12% 13% 14% 11% 19% 12% 10% 8% 16% 13% 11% 13% 14% 11% 12% 13% 14% 11%

KLM P

Decreased

- - - 1082 1033 1052 1073 476 597 249 254 322 248 322 189 480 337 351 386 585 466 64 30- - - 54% 52% 52% 53% 48% 57% 42% 50% 64% 59% 53% 57% 50% 54% 48% 58% 51% 56% 35% 53%

H J JK Jk p r R t v

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 173MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?

Summary Of More






- - - - 1053 1080 1018 518 500 385 323 192 117 278 164 535 287 422 309 596 403 107 26- - - - 53% 54% 50% 52% 48% 64% 64% 38% 28% 46% 49% 55% 46% 57% 46% 52% 48% 59% 45%

g i LM LM M N QS

Streaming services (e.g.,Netflix, Hulu)

- - - 935 989 1021 954 464 490 354 292 188 120 289 148 474 269 414 271 560 376 111 22- - - 46% 50% 51% 47% 47% 47% 59% 58% 37% 28% 47% 45% 49% 43% 56% 40% 49% 45% 62% 39%

Dg LM LM M QS W

Social media (e.g.,Facebook, Instagram,Twitter)

- - - 830 854 889 832 419 413 336 262 133 101 238 125 443 223 361 248 505 311 99 23- - - 41% 43% 44% 41% 42% 40% 56% 52% 26% 24% 39% 38% 46% 36% 49% 37% 44% 37% 55% 41%

LM LM NO QS U

Games

- - - 833 844 761 721 403 318 253 236 150 82 191 126 388 192 332 197 452 254 92 14- - - 41% 42% 38% 36% 41% 31% 42% 47% 30% 19% 31% 38% 40% 31% 45% 29% 40% 30% 51% 25%

fG FG I LM LM M n N QS U W

News apps

- - - 619 663 674 708 367 340 253 244 123 88 140 105 430 203 291 214 435 258 86 18- - - 31% 33% 33% 35% 37% 33% 42% 48% 24% 21% 23% 32% 45% 33% 40% 32% 38% 31% 48% 31%

D i LM LM N NO QS U w

Virtual meeting sites (e.g.,Zoom, Teams)

- - - 682 661 765 669 361 308 309 220 95 46 202 108 336 191 286 192 384 271 89 18- - - 34% 33% 38% 33% 37% 30% 52% 44% 19% 11% 33% 33% 35% 31% 39% 29% 34% 32% 49% 32%

DEG I KLM LM M QS w

Music apps (e.g., Spotify,iTunes)

- - - 524 445 486 475 280 195 217 165 48 46 127 63 273 131 220 123 294 172 58 8- - - 26% 22% 24% 23% 28% 19% 36% 33% 9% 11% 21% 19% 28% 21% 30% 18% 26% 21% 32% 15%

E I LM LM NO QS U W

On-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 502 437 466 443 265 178 209 148 57 29 120 57 250 117 186 140 287 139 71 5- - - 25% 22% 23% 22% 27% 17% 35% 29% 11% 7% 20% 17% 26% 19% 25% 21% 25% 17% 39% 9%

eg I LM LM m NO Q U W

Wellness apps (e.g.,Meditation apps,work-outs)

- - - 399 356 395 378 225 153 185 126 43 23 92 52 221 123 155 99 232 134 47 6- - - 20% 18% 20% 19% 23% 15% 31% 25% 9% 5% 15% 16% 23% 20% 21% 15% 20% 16% 26% 10%

I kLM LM NO s S u W

Podcasts

- - - 200 218 199 227 165 62 132 74 20 1 64 28 132 71 99 57 138 78 41 2- - - 10% 11% 10% 11% 17% 6% 22% 15% 4% * 10% 8% 14% 11% 14% 8% 12% 9% 23% 3%

I KLM LM M O S W

Dating apps




Summary Of Less






- - - 581 607 551 570 321 249 189 144 114 123 194 102 247 166 206 198 327 224 65 13- - - 29% 30% 27% 28% 33% 24% 32% 29% 23% 29% 32% 31% 26% 27% 28% 29% 29% 27% 36% 23%

f I L l l P

Dating apps

- - - 424 443 442 461 246 215 164 98 115 84 164 82 193 131 175 154 254 185 55 13- - - 21% 22% 22% 23% 25% 21% 27% 19% 23% 20% 27% 25% 20% 21% 24% 23% 22% 22% 30% 23%

i KM P


- - - 415 444 415 443 253 191 167 102 86 89 162 75 187 123 155 165 251 169 50 10- - - 21% 22% 21% 22% 26% 18% 28% 20% 17% 21% 27% 22% 19% 20% 21% 25% 22% 20% 28% 18%

I KLM P q

Podcasts

- - - 377 377 356 387 224 163 152 80 80 75 159 55 150 103 121 163 212 155 30 9- - - 19% 19% 18% 19% 23% 16% 25% 16% 16% 18% 26% 17% 16% 17% 16% 24% 18% 19% 17% 16%

I KLM OP QR


- - - 308 361 320 375 212 163 136 81 76 82 133 61 160 115 132 128 207 150 36 10- - - 15% 18% 16% 19% 22% 16% 23% 16% 15% 19% 22% 18% 17% 19% 18% 19% 18% 18% 20% 17%

d Df I KL P


- - - 288 267 279 313 170 143 125 71 58 59 125 47 123 92 93 128 167 130 26 4- - - 14% 13% 14% 15% 17% 14% 21% 14% 12% 14% 21% 14% 13% 15% 13% 19% 15% 16% 15% 7%

i KLM OP qR

News apps

- - - 292 295 226 305 174 131 98 67 71 69 108 45 134 98 108 99 173 118 23 10- - - 15% 15% 11% 15% 18% 13% 16% 13% 14% 16% 18% 14% 14% 16% 15% 15% 15% 14% 13% 17%

F F F I p


- - - 257 276 223 303 165 138 104 60 66 72 103 50 128 106 87 109 164 122 23 8- - - 13% 14% 11% 15% 17% 13% 17% 12% 13% 17% 17% 15% 13% 17% 12% 16% 14% 15% 13% 13%

F F i K k p R r

Games

- - - 232 243 209 241 150 91 103 44 49 46 88 35 112 76 78 87 130 100 19 6- - - 11% 12% 10% 12% 15% 9% 17% 9% 10% 11% 15% 11% 12% 12% 11% 13% 11% 12% 11% 11%

I KLM


- - - - 229 217 231 130 101 84 46 40 61 83 38 96 81 74 76 128 85 18 10- - - - 12% 11% 11% 13% 10% 14% 9% 8% 14% 14% 11% 10% 13% 10% 11% 11% 10% 10% 17%

I KL KL p





Summary Of About The Same






- - - 1235 1168 1263 1232 501 731 278 286 368 300 351 202 586 386 430 416 679 534 74 42- - - 61% 59% 63% 61% 51% 70% 46% 57% 73% 71% 58% 61% 61% 62% 58% 62% 59% 64% 41% 74%

E H J JK JK t V

Dating apps

- - - 1206 1195 1227 1211 510 701 253 275 369 313 356 213 555 391 418 402 650 547 73 42- - - 60% 60% 61% 60% 52% 67% 42% 55% 73% 74% 58% 64% 57% 63% 57% 60% 57% 65% 40% 74%

H J JK JK p r T V


- - - 1202 1192 1203 1208 510 698 246 276 374 313 355 205 558 378 425 405 661 533 83 41- - - 60% 60% 60% 60% 52% 67% 41% 55% 74% 74% 58% 62% 58% 61% 58% 60% 58% 64% 46% 72%

H J JK JK T V

Podcasts

- - - 1068 1105 1085 1094 462 632 217 242 340 294 318 187 499 361 340 392 596 479 67 35- - - 53% 55% 54% 54% 47% 61% 36% 48% 68% 69% 52% 56% 52% 58% 46% 59% 52% 57% 37% 62%

H J JK JK R R t V


- - - 1041 1038 1022 1055 452 602 191 218 336 309 300 178 495 334 341 379 587 447 69 29- - - 52% 52% 51% 52% 46% 58% 32% 43% 67% 73% 49% 54% 51% 54% 46% 57% 51% 54% 38% 51%

H J JK JK R R


- - - 895 882 973 995 414 581 220 198 294 283 293 159 454 340 310 344 525 452 62 38- - - 44% 44% 48% 49% 42% 56% 37% 39% 59% 67% 48% 48% 47% 55% 42% 51% 46% 54% 34% 68%

DE DE H JK JKL R R T V

News apps

- - - 1020 953 983 934 396 538 193 180 300 261 311 172 385 317 324 293 498 422 64 30- - - 51% 48% 49% 46% 40% 52% 32% 36% 60% 62% 51% 52% 40% 51% 44% 44% 43% 50% 36% 53%

G H JK JK P P RS T v


- - - 929 863 901 894 403 491 157 182 303 252 267 157 395 295 287 313 475 403 58 26- - - 46% 43% 45% 44% 41% 47% 26% 36% 60% 59% 44% 47% 41% 47% 39% 47% 41% 48% 32% 46%

H J JK JK p R R T

Games

- - - 849 761 783 834 373 461 141 169 266 258 232 148 379 279 244 312 454 360 50 29- - - 42% 38% 39% 41% 38% 44% 24% 33% 53% 61% 38% 45% 39% 45% 33% 47% 40% 43% 28% 50%

E H J JK JKL n R R V


- - - - 710 716 781 339 441 129 135 270 246 248 131 334 256 240 285 420 347 55 21- - - - 36% 36% 38% 34% 42% 22% 27% 54% 58% 41% 39% 35% 41% 33% 43% 37% 42% 30% 38%

H j JK JK P R R t




20 Apr 2020Table 176MED02_1 Are you using each of the following more, less, or about the same since the coronavirus outbreak?

On-demand food delivery apps (e.g., UberEATS, Doordash)






- - - 524 445 486 475 280 195 217 165 48 46 127 63 273 131 220 123 294 172 58 8- - - 26% 22% 24% 23% 28% 19% 36% 33% 9% 11% 21% 19% 28% 21% 30% 18% 26% 21% 32% 15%

E I LM LM NO QS U W

More

- - - 424 443 442 461 246 215 164 98 115 84 164 82 193 131 175 154 254 185 55 13- - - 21% 22% 22% 23% 25% 21% 27% 19% 23% 20% 27% 25% 20% 21% 24% 23% 22% 22% 30% 23%

i KM P

Less

- - - 1068 1105 1085 1094 462 632 217 242 340 294 318 187 499 361 340 392 596 479 67 35- - - 53% 55% 54% 54% 47% 61% 36% 48% 68% 69% 52% 56% 52% 58% 46% 59% 52% 57% 37% 62%

H J JK JK R R t V

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Social media (e.g., Facebook, Instagram, Twitter)






- - - 935 989 1021 954 464 490 354 292 188 120 289 148 474 269 414 271 560 376 111 22- - - 46% 50% 51% 47% 47% 47% 59% 58% 37% 28% 47% 45% 49% 43% 56% 40% 49% 45% 62% 39%

Dg LM LM M QS W

More

- - - 232 243 209 241 150 91 103 44 49 46 88 35 112 76 78 87 130 100 19 6- - - 11% 12% 10% 12% 15% 9% 17% 9% 10% 11% 15% 11% 12% 12% 11% 13% 11% 12% 11% 11%

I KLM

Less

- - - 849 761 783 834 373 461 141 169 266 258 232 148 379 279 244 312 454 360 50 29- - - 42% 38% 39% 41% 38% 44% 24% 33% 53% 61% 38% 45% 39% 45% 33% 47% 40% 43% 28% 50%

E H J JK JKL n R R V

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Virtual meeting sites (e.g., Zoom, Teams)






- - - 619 663 674 708 367 340 253 244 123 88 140 105 430 203 291 214 435 258 86 18- - - 31% 33% 33% 35% 37% 33% 42% 48% 24% 21% 23% 32% 45% 33% 40% 32% 38% 31% 48% 31%

D i LM LM N NO QS U w

More

- - - 377 377 356 387 224 163 152 80 80 75 159 55 150 103 121 163 212 155 30 9- - - 19% 19% 18% 19% 23% 16% 25% 16% 16% 18% 26% 17% 16% 17% 16% 24% 18% 19% 17% 16%

I KLM OP QR

Less

- - - 1020 953 983 934 396 538 193 180 300 261 311 172 385 317 324 293 498 422 64 30- - - 51% 48% 49% 46% 40% 52% 32% 36% 60% 62% 51% 52% 40% 51% 44% 44% 43% 50% 36% 53%

G H JK JK P P RS T v

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




News apps






- - - 833 844 761 721 403 318 253 236 150 82 191 126 388 192 332 197 452 254 92 14- - - 41% 42% 38% 36% 41% 31% 42% 47% 30% 19% 31% 38% 40% 31% 45% 29% 40% 30% 51% 25%

fG FG I LM LM M n N QS U W

More

- - - 288 267 279 313 170 143 125 71 58 59 125 47 123 92 93 128 167 130 26 4- - - 14% 13% 14% 15% 17% 14% 21% 14% 12% 14% 21% 14% 13% 15% 13% 19% 15% 16% 15% 7%

i KLM OP qR

Less

- - - 895 882 973 995 414 581 220 198 294 283 293 159 454 340 310 344 525 452 62 38- - - 44% 44% 48% 49% 42% 56% 37% 39% 59% 67% 48% 48% 47% 55% 42% 51% 46% 54% 34% 68%

DE DE H JK JKL R R T V

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Podcasts






- - - 399 356 395 378 225 153 185 126 43 23 92 52 221 123 155 99 232 134 47 6- - - 20% 18% 20% 19% 23% 15% 31% 25% 9% 5% 15% 16% 23% 20% 21% 15% 20% 16% 26% 10%

I kLM LM NO s S u W

More

- - - 415 444 415 443 253 191 167 102 86 89 162 75 187 123 155 165 251 169 50 10- - - 21% 22% 21% 22% 26% 18% 28% 20% 17% 21% 27% 22% 19% 20% 21% 25% 22% 20% 28% 18%

I KLM P q

Less

- - - 1202 1192 1203 1208 510 698 246 276 374 313 355 205 558 378 425 405 661 533 83 41- - - 60% 60% 60% 60% 52% 67% 41% 55% 74% 74% 58% 62% 58% 61% 58% 60% 58% 64% 46% 72%

H J JK JK T V

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Wellness apps (e.g., Meditation apps, work-outs)






- - - 502 437 466 443 265 178 209 148 57 29 120 57 250 117 186 140 287 139 71 5- - - 25% 22% 23% 22% 27% 17% 35% 29% 11% 7% 20% 17% 26% 19% 25% 21% 25% 17% 39% 9%

eg I LM LM m NO Q U W

More

- - - 308 361 320 375 212 163 136 81 76 82 133 61 160 115 132 128 207 150 36 10- - - 15% 18% 16% 19% 22% 16% 23% 16% 15% 19% 22% 18% 17% 19% 18% 19% 18% 18% 20% 17%

d Df I KL P

Less

- - - 1206 1195 1227 1211 510 701 253 275 369 313 356 213 555 391 418 402 650 547 73 42- - - 60% 60% 61% 60% 52% 67% 42% 55% 73% 74% 58% 64% 57% 63% 57% 60% 57% 65% 40% 74%

H J JK JK p r T V

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Music apps (e.g., Spotify, iTunes)






- - - 682 661 765 669 361 308 309 220 95 46 202 108 336 191 286 192 384 271 89 18- - - 34% 33% 38% 33% 37% 30% 52% 44% 19% 11% 33% 33% 35% 31% 39% 29% 34% 32% 49% 32%

DEG I KLM LM M QS w

More

- - - 292 295 226 305 174 131 98 67 71 69 108 45 134 98 108 99 173 118 23 10- - - 15% 15% 11% 15% 18% 13% 16% 13% 14% 16% 18% 14% 14% 16% 15% 15% 15% 14% 13% 17%

F F F I p

Less

- - - 1041 1038 1022 1055 452 602 191 218 336 309 300 178 495 334 341 379 587 447 69 29- - - 52% 52% 51% 52% 46% 58% 32% 43% 67% 73% 49% 54% 51% 54% 46% 57% 51% 54% 38% 51%

H J JK JK R R

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Dating apps






- - - 200 218 199 227 165 62 132 74 20 1 64 28 132 71 99 57 138 78 41 2- - - 10% 11% 10% 11% 17% 6% 22% 15% 4% * 10% 8% 14% 11% 14% 8% 12% 9% 23% 3%

I KLM LM M O S W

More

- - - 581 607 551 570 321 249 189 144 114 123 194 102 247 166 206 198 327 224 65 13- - - 29% 30% 27% 28% 33% 24% 32% 29% 23% 29% 32% 31% 26% 27% 28% 29% 29% 27% 36% 23%

f I L l l P

Less

- - - 1235 1168 1263 1232 501 731 278 286 368 300 351 202 586 386 430 416 679 534 74 42- - - 61% 59% 63% 61% 51% 70% 46% 57% 73% 71% 58% 61% 61% 62% 58% 62% 59% 64% 41% 74%

E H J JK JK t V

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Games






- - - 830 854 889 832 419 413 336 262 133 101 238 125 443 223 361 248 505 311 99 23- - - 41% 43% 44% 41% 42% 40% 56% 52% 26% 24% 39% 38% 46% 36% 49% 37% 44% 37% 55% 41%

LM LM NO QS U

More

- - - 257 276 223 303 165 138 104 60 66 72 103 50 128 106 87 109 164 122 23 8- - - 13% 14% 11% 15% 17% 13% 17% 12% 13% 17% 17% 15% 13% 17% 12% 16% 14% 15% 13% 13%

F F i K k p R r

Less

- - - 929 863 901 894 403 491 157 182 303 252 267 157 395 295 287 313 475 403 58 26- - - 46% 43% 45% 44% 41% 47% 26% 36% 60% 59% 44% 47% 41% 47% 39% 47% 41% 48% 32% 46%

H J JK JK p R R T

About the same

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Streaming services (e.g., Netflix, Hulu)






- - - - 1053 1080 1018 518 500 385 323 192 117 278 164 535 287 422 309 596 403 107 26- - - - 53% 54% 50% 52% 48% 64% 64% 38% 28% 46% 49% 55% 46% 57% 46% 52% 48% 59% 45%

g i LM LM M N QS

More

- - - - 229 217 231 130 101 84 46 40 61 83 38 96 81 74 76 128 85 18 10- - - - 12% 11% 11% 13% 10% 14% 9% 8% 14% 14% 11% 10% 13% 10% 11% 11% 10% 10% 17%

I KL KL p

Less

- - - - 710 716 781 339 441 129 135 270 246 248 131 334 256 240 285 420 347 55 21- - - - 36% 36% 38% 34% 42% 22% 27% 54% 58% 41% 39% 35% 41% 33% 43% 37% 42% 30% 38%

H j JK JK P R R t

About the same

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 186MED14 Federal and state governments are working to secure data on the location of millions of Americans to help with their

response to the coronavirus pandemic and help understand how the disease is spreading. They are working with privatecompanies that have this data. The data is "anonymized" so that personal details aren’t being shared. How

comfortable are you with this use of location data in the interest of fighting the pandemic?





- - - - 1993 - 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** -** -** 1993 -** 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - - - 1440 - 1475 728 747 436 383 335 321 425 245 732 449 568 458 861 595 140 42- - - - 72% - 73% 74% 72% 73% 76% 67% 76% 70% 74% 76% 72% 77% 68% 75% 71% 78% 74%

l L L N qS u

Very/SomewhatComfortable (Net)

- - - - 584 - 629 339 290 180 186 135 128 153 95 356 213 260 157 402 222 67 20- - - - 29% - 31% 34% 28% 30% 37% 27% 30% 25% 28% 37% 34% 35% 23% 35% 27% 37% 35%

I jLm NO S S U

Very comfortable

- - - - 856 - 846 389 457 256 197 200 193 273 150 376 236 309 302 460 372 73 22- - - - 43% - 42% 39% 44% 43% 39% 40% 46% 45% 45% 39% 38% 42% 45% 40% 45% 41% 39%

p p Q

Somewhat comfortable

- - - - 553 - 554 259 295 162 122 167 103 184 87 233 175 167 212 283 241 40 15- - - - 28% - 27% 26% 28% 27% 24% 33% 24% 30% 26% 24% 28% 23% 32% 25% 29% 22% 26%

jKM P r R t

Not Very/Not At AllComfortable (Net)

- - - - 376 - 352 160 192 115 67 102 68 121 59 144 109 112 131 187 151 25 9- - - - 19% - 17% 16% 18% 19% 13% 20% 16% 20% 18% 15% 18% 15% 20% 16% 18% 14% 16%

K K P r

Not very comfortable

- - - - 178 - 202 99 103 47 55 66 35 63 28 89 65 55 81 96 90 16 6- - - - 9% - 10% 10% 10% 8% 11% 13% 8% 10% 9% 9% 11% 8% 12% 8% 11% 9% 10%

Jm R

Not at all comfortable

- - - - 1993 - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 187STA01 How would you describe your state’s social distancing restrictions?






- - - - - - 1395 668 728 362 340 358 335 397 238 672 439 501 455 772 601 117 31- - - - - - 69% 68% 70% 61% 67% 71% 79% 65% 72% 70% 70% 68% 68% 67% 72% 65% 55%

j J JKL n t

Right balance ofrestrictions

- - - - - - 342 131 211 124 68 94 56 111 68 142 68 152 122 186 139 18 8- - - - - - 17% 13% 20% 21% 14% 19% 13% 18% 21% 15% 11% 21% 18% 16% 17% 10% 13%

H KM km P Q Q

Not restrictive enough

- - - - - - 292 188 103 112 96 50 33 101 25 151 117 82 93 187 95 46 18- - - - - - 14% 19% 10% 19% 19% 10% 8% 16% 8% 16% 19% 11% 14% 16% 11% 26% 31%

I LM LM O O Rs U

Too restrictive

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 188PRO01 Are you aware of protests urging governors to relax (i.e., ease off of) stay-at-home orders?






- - - - - - 1669 797 872 429 402 453 384 473 269 823 527 607 535 955 677 144 54- - - - - - 82% 81% 84% 72% 80% 90% 91% 78% 81% 85% 85% 82% 80% 83% 81% 80% 94%

J JK JK N s V

Very/Somewhat Aware(Net)

- - - - - - 946 468 478 207 236 254 249 249 164 489 296 376 274 552 377 76 36- - - - - - 47% 47% 46% 35% 47% 50% 59% 41% 49% 51% 48% 51% 41% 48% 45% 42% 64%

J J JKL N N S S V

Very aware

- - - - - - 722 329 393 222 166 199 135 223 105 334 231 231 261 403 300 68 17- - - - - - 36% 33% 38% 37% 33% 40% 32% 37% 32% 35% 37% 31% 39% 35% 36% 38% 30%

h kM r R

Somewhat aware

- - - - - - 360 190 170 168 102 49 40 137 63 142 96 129 135 190 158 37 3- - - - - - 18% 19% 16% 28% 20% 10% 9% 22% 19% 15% 15% 18% 20% 17% 19% 20% 6%

KLM LM P q W

Not Very/Not At AllAware (Net)

- - - - - - 215 120 95 106 63 26 19 84 34 89 57 77 81 113 95 21 2- - - - - - 11% 12% 9% 18% 13% 5% 4% 14% 10% 9% 9% 11% 12% 10% 11% 12% 3%

i kLM LM P

Not very aware

- - - - - - 145 70 75 62 39 23 21 52 28 52 39 52 54 77 63 15 2- - - - - - 7% 7% 7% 10% 8% 5% 5% 9% 9% 5% 6% 7% 8% 7% 8% 8% 3%

LM l P p

Not at all aware

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 189PRO02 How much do you agree or disagree with the intentions of the protestors?

Base: Aware Of Protests





- - - - - - 644 382 262 208 181 160 95 200 72 343 268 169 206 382 241 77 18- - - - - - 39% 48% 30% 48% 45% 35% 25% 42% 27% 42% 51% 28% 39% 40% 36% 53% 33%

I LM LM M O O RS R W

Strongly/Somewhat Agree (Net)

- - - - - - 258 168 90 82 90 59 27 70 21 153 112 66 80 169 76 33 5- - - - - - 15% 21% 10% 19% 22% 13% 7% 15% 8% 19% 21% 11% 15% 18% 11% 23% 10%

I LM LM M O O RS r U w

Strongly agree

- - - - - - 386 214 171 126 91 100 68 131 51 189 156 104 126 213 165 43 12- - - - - - 23% 27% 20% 29% 23% 22% 18% 28% 19% 23% 30% 17% 24% 22% 24% 30% 23%

I kLM O Rs R

Somewhat agree

- - - - - - 1025 415 610 221 221 293 290 272 197 481 259 437 329 572 436 67 36- - - - - - 61% 52% 70% 52% 55% 65% 75% 58% 73% 58% 49% 72% 61% 60% 64% 47% 67%

H JK JKL NP QS Q V


- - - - - - 346 152 194 117 66 79 84 92 58 166 108 105 132 207 130 22 11- - - - - - 21% 19% 22% 27% 16% 17% 22% 20% 22% 20% 21% 17% 25% 22% 19% 15% 20%

KL R

Somewhat disagree

- - - - - - 679 263 416 104 155 214 206 180 139 315 151 332 196 365 306 45 25- - - - - - 41% 33% 48% 24% 39% 47% 54% 38% 52% 38% 29% 55% 37% 38% 45% 32% 47%

H J JK JK NP QS Q T

Strongly disagree

- - - - - - 1669 797 872 429 402 453 384 473 269 823 527 607 535 955 677 144 54- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 190PRO03 Which of the following best describes your feelings towards those protesting restrictions on social distancing?






- - - - - - 1243 569 674 325 303 307 308 358 238 569 351 522 371 704 519 101 37- - - - - - 61% 58% 65% 54% 60% 61% 73% 59% 72% 59% 56% 71% 55% 62% 62% 56% 64%

H j JKL NP QS

Protesters are breakingthe rules and puttingeveryone at risk

- - - - - - 619 350 269 189 166 161 102 188 77 322 228 168 223 371 238 68 17- - - - - - 31% 35% 26% 32% 33% 32% 24% 31% 23% 33% 37% 23% 33% 32% 29% 38% 30%

I M M M O O R R

It is protesters’ right togather and voice theiropinion

- - - - - - 167 68 99 84 35 34 14 63 16 73 45 46 76 69 78 11 3- - - - - - 8% 7% 9% 14% 7% 7% 3% 10% 5% 8% 7% 6% 11% 6% 9% 6% 6%

h KLM M M O QR T

None of the above

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 191GOV10 Do you approve or disapprove of the federal government’s guidelines to return to normal in phases?






- - - - - - 1357 710 647 399 321 331 305 391 211 683 522 396 439 787 550 124 43- - - - - - 67% 72% 62% 67% 64% 66% 72% 64% 64% 71% 84% 54% 66% 69% 66% 69% 76%

I K NO RS R

Approve

- - - - - - 672 277 395 199 183 171 119 218 121 282 102 340 231 358 285 56 14- - - - - - 33% 28% 38% 33% 36% 34% 28% 36% 36% 29% 16% 46% 34% 31% 34% 31% 24%

H M P P QS Q

Disapprove

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 192TCH01 Do you approve or disapprove of large technology companies helping to trace coronavirus cases you may have been exposed to?






- - - - - - 1637 801 835 468 400 395 373 473 270 798 503 639 494 931 674 157 47- - - - - - 81% 81% 80% 78% 79% 79% 88% 78% 81% 83% 81% 87% 74% 81% 81% 87% 83%

JKL N S QS

Approve

- - - - - - 392 186 206 130 104 107 51 136 62 167 120 96 176 213 161 23 10- - - - - - 19% 19% 20% 22% 21% 21% 12% 22% 19% 17% 19% 13% 26% 19% 19% 13% 17%

M M M P R QR

Disapprove

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 193Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do each

of the following?

Base: Applicable Response

Take publictransportati-

Go to Host/attend on (e.g., Greet peopleFly on a Go to a gym Take a Go out to Visit a Stay in a Go to the a sporting Go to the a large soci- subway, buss- with a hand-

plane class cruise dinner casino hotel office event movies al gathering es, trains) shake

(A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L)

1614 1257 1334 1942 1284 1730 1242 1468 1681 1713 1314 1895Unweighted Base1606 1261 1320 1930 1287 1731 1230 1453 1672 1708 1315 1897Weighted Base

80 134 54 221 73 102 261 90 109 107 121 1495% 11% 4% 11% 6% 6% 21% 6% 7% 6% 9% 8%

ACEFHIJL ACEFHIJKL C C ABCDEFHIJKL C AC aC ACEFHIJ ACEFHiJ

Immediately

119 226 83 501 124 165 321 131 236 236 172 2507% 18% 6% 26% 10% 10% 26% 9% 14% 14% 13% 13%

ACEFHIJKL ABCEFHIJKL AC AC ABCEFHIJKL C ACEFH ACEFH ACEFH ACEFH

1-30 days

264 260 121 492 227 356 271 275 372 379 219 32716% 21% 9% 25% 18% 21% 22% 19% 22% 22% 17% 17%C ACeKL ABCEFGHIJKL C ACEKL ACEhKL aC ACEHKL ACEHKL C C

2-3 months

324 237 166 365 245 369 175 326 362 392 237 29120% 19% 13% 19% 19% 21% 14% 22% 22% 23% 18% 15%

CGL CGL CGL CGL CGKL BCDEGKL bCdGKL aBCDEGKL CGl c

4-6 months

260 120 137 162 170 252 80 183 225 223 155 15916% 10% 10% 8% 13% 15% 7% 13% 13% 13% 12% 8%

BCDEGHiJKL G dGl g BCDGL BCDGkL BDGL BCDGL BCDGL bDGL g

7-11 months

447 181 437 172 334 407 86 339 272 309 277 33328% 14% 33% 9% 26% 24% 7% 23% 16% 18% 21% 18%

BDFGHIJKL DG ABDEFGHIJKL g BDGIJKL BDGIJL BDGIJL DG BDG BDGIJL BDG

A year or longer

111 103 320 18 114 80 37 108 95 62 133 3887% 8% 24% 1% 9% 5% 3% 7% 6% 4% 10% 20%

DFGJ DFGIJ ABDEFGHIJKL aDFGIJ DG D DFGiJ DGJ D AbDFGHIJ ABDEFGHIJK

Never again

1606 1261 1320 1930 1287 1731 1230 1453 1672 1708 1315 1897100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma

__________________________________________________________Proportions/Means: All Columns Tested (5%, 10% risk level)Overlap formulae used.


20 Apr 2020Table 194Q33B_1 Once the government provides information that the spread of the virus is flattening how long will it take you to do each

of the following?

Fly on a plane





- - 1565 1533 1489 1503 1614 833 781 499 414 393 308 477 288 760 550 578 486 917 670 149 39Unweighted Base-** -** 1599 1558 1532 1562 1606 837 769 489 416 382 319 406 252 862 511 590 504 927 647 157 47**Weighted Base

- - 126 102 101 123 80 46 34 25 29 16 10 30 6 42 29 22 29 52 23 3 -- - 8% 7% 7% 8% 5% 6% 4% 5% 7% 4% 3% 7% 2% 5% 6% 4% 6% 6% 4% 2% -

G G m O

Immediately

- - 188 196 187 166 119 69 50 62 39 11 8 37 14 62 38 46 36 78 40 17 1- - 12% 13% 12% 11% 7% 8% 6% 13% 9% 3% 2% 9% 5% 7% 7% 8% 7% 8% 6% 11% 2%

G G G G LM LM

1-30 days

- - 327 292 286 280 264 170 95 86 85 61 33 54 30 171 109 89 67 151 111 45 3- - 20% 19% 19% 18% 16% 20% 12% 18% 20% 16% 10% 13% 12% 20% 21% 15% 13% 16% 17% 29% 6%

G I M M m NO RS

2-3 months

- - 359 316 285 314 324 169 156 100 98 59 66 77 43 190 105 112 108 194 125 29 18- - 22% 20% 19% 20% 20% 20% 20% 21% 24% 16% 21% 19% 17% 22% 21% 19% 21% 21% 19% 18% 38%

E L

4-6 months

- - 179 217 179 243 260 139 121 92 50 57 62 55 49 137 79 97 84 143 107 17 10- - 11% 14% 12% 16% 16% 17% 16% 19% 12% 15% 20% 14% 19% 16% 16% 17% 17% 15% 17% 10% 22%

c CE CE K K n

7-11 months

- - 319 359 384 343 447 196 250 87 102 143 115 106 92 222 120 185 142 253 188 39 12- - 20% 23% 25% 22% 28% 23% 33% 18% 24% 37% 36% 26% 37% 26% 24% 31% 28% 27% 29% 25% 26%

c C CDF H J JK JK NP Q

A year or longer

- - 101 78 110 93 111 48 63 38 13 35 25 48 19 37 32 40 40 55 53 8 3- - 6% 5% 7% 6% 7% 6% 8% 8% 3% 9% 8% 12% 8% 4% 6% 7% 8% 6% 8% 5% 6%

D d K K K P p

Never again

- - 1599 1558 1532 1562 1606 837 769 489 416 382 319 406 252 862 511 590 504 927 647 157 47- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma

__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. ** very small base (under 30) ineligible for sig testing



of the following?

Go to a gym class





- - 1315 1276 1156 1191 1257 696 561 461 358 255 183 373 240 588 420 471 366 741 492 132 25Unweighted Base-** -** 1319 1330 1190 1232 1261 705 556 454 353 254 201 328 217 661 394 487 381 736 496 138* 34**Weighted Base

- - 157 164 176 153 134 76 58 47 37 25 24 33 27 64 43 42 48 77 53 16 4- - 12% 12% 15% 12% 11% 11% 10% 10% 11% 10% 12% 10% 12% 10% 11% 9% 13% 10% 11% 11% 12%

cG

Immediately

- - 336 316 253 233 226 139 87 89 79 36 22 57 34 126 79 87 59 132 86 31 9- - 25% 24% 21% 19% 18% 20% 16% 20% 22% 14% 11% 18% 15% 19% 20% 18% 16% 18% 17% 22% 25%

EFG FG M LM

1-30 days

- - 278 257 259 269 260 158 102 113 79 38 29 67 35 152 84 103 73 142 110 38 8- - 21% 19% 22% 22% 21% 22% 18% 25% 22% 15% 15% 20% 16% 23% 21% 21% 19% 19% 22% 28% 23%

LM lm o

2-3 months

- - 219 233 176 217 237 134 103 87 63 43 45 63 37 125 67 93 77 132 101 27 5- - 17% 18% 15% 18% 19% 19% 19% 19% 18% 17% 22% 19% 17% 19% 17% 19% 20% 18% 20% 20% 15%

E

4-6 months

- - 111 115 101 118 120 70 51 53 28 24 15 34 21 61 33 48 40 79 37 15 5- - 8% 9% 9% 10% 10% 10% 9% 12% 8% 9% 8% 10% 10% 9% 8% 10% 10% 11% 8% 11% 14%

7-11 months

- - 125 163 115 129 181 89 92 42 52 55 32 45 35 93 55 77 50 124 55 10 1- - 9% 12% 10% 10% 14% 13% 16% 9% 15% 22% 16% 14% 16% 14% 14% 16% 13% 17% 11% 7% 4%

c CEF J Jk J U

A year or longer

- - 94 82 109 114 103 39 65 23 14 33 33 29 29 39 32 37 34 50 53 1 2- - 7% 6% 9% 9% 8% 5% 12% 5% 4% 13% 16% 9% 13% 6% 8% 8% 9% 7% 11% 1% 7%

D D H JK JK P T

Never again

- - 1319 1330 1190 1232 1261 705 556 454 353 254 201 328 217 661 394 487 381 736 496 138 34- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Take a cruise






- - 92 66 71 77 54 38 17 24 21 4 5 15 4 32 17 19 19 37 15 5 -- - 7% 5% 6% 6% 4% 5% 3% 5% 6% 1% 2% 5% 2% 5% 4% 4% 5% 5% 3% 4% -

G i Lm Lm

Immediately

- - 103 94 85 97 83 61 22 44 32 5 2 23 9 48 23 38 23 59 24 18 2- - 7% 7% 7% 7% 6% 8% 4% 10% 9% 2% 1% 7% 4% 7% 5% 8% 6% 8% 5% 13% 6%

I LM LM u

1-30 days

- - 151 144 121 155 121 90 32 57 46 16 3 34 13 69 54 41 26 66 49 28 -- - 11% 11% 9% 12% 9% 12% 5% 13% 13% 6% 1% 10% 6% 10% 13% 8% 6% 9% 9% 21% -

g I LM LM M rS

2-3 months

- - 188 184 159 184 166 108 58 75 50 17 24 53 15 94 59 57 50 100 64 20 4- - 14% 14% 12% 14% 13% 15% 10% 17% 14% 6% 10% 16% 7% 13% 14% 12% 12% 13% 12% 15% 12%

I LM L O o

4-6 months

- - 153 144 139 134 137 88 50 58 29 29 22 29 33 72 47 46 44 87 47 6 6- - 11% 11% 11% 10% 10% 12% 8% 13% 8% 10% 9% 9% 16% 10% 11% 9% 11% 11% 9% 5% 15%

i k Np

7-11 months

- - 436 418 411 389 437 200 237 120 104 116 96 96 75 245 122 178 136 261 170 36 14- - 32% 32% 32% 30% 33% 27% 41% 28% 30% 40% 39% 29% 36% 34% 29% 36% 34% 34% 33% 27% 37%

H JK Jk Q

A year or longer

- - 259 253 291 280 320 151 169 58 67 102 93 84 61 158 105 112 103 166 144 20 12- - 19% 19% 23% 21% 24% 21% 29% 13% 19% 35% 38% 25% 29% 22% 25% 23% 26% 21% 28% 15% 31%

C CD H j JK JK p T

Never again

- - 1382 1303 1276 1315 1320 735 584 436 349 289 245 334 209 719 428 491 400 775 514 135 38- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Go out to dinner





- - 1911 1926 1885 1902 1942 942 1000 563 490 503 386 648 363 818 642 691 609 1095 813 166 46Unweighted Base-** -** 1913 1910 1882 1912 1930 947 984 543 488 488 411 561 323 930 600 704 626 1105 786 177 55*Weighted Base

- - 300 265 238 293 221 123 98 74 70 48 30 73 32 104 76 65 80 123 93 22 6- - 16% 14% 13% 15% 11% 13% 10% 14% 14% 10% 7% 13% 10% 11% 13% 9% 13% 11% 12% 12% 11%

EG g eG i M lM r r

Immediately

- - 571 557 569 468 501 247 254 150 125 119 106 150 71 254 171 159 171 302 192 52 18- - 30% 29% 30% 24% 26% 26% 26% 28% 26% 24% 26% 27% 22% 27% 28% 23% 27% 27% 24% 30% 32%

FG Fg FG R

1-30 days

- - 466 500 464 477 492 266 226 141 126 119 106 139 83 235 151 207 134 265 219 59 16- - 24% 26% 25% 25% 25% 28% 23% 26% 26% 24% 26% 25% 26% 25% 25% 29% 21% 24% 28% 33% 29%

I S

2-3 months

- - 280 321 311 390 365 170 195 86 90 93 95 97 68 176 101 127 137 215 145 19 8- - 15% 17% 17% 20% 19% 18% 20% 16% 18% 19% 23% 17% 21% 19% 17% 18% 22% 19% 18% 11% 15%

CDE C J q

4-6 months

- - 125 126 120 133 162 61 100 54 33 40 35 43 33 80 53 59 49 95 63 16 3- - 7% 7% 6% 7% 8% 6% 10% 10% 7% 8% 9% 8% 10% 9% 9% 8% 8% 9% 8% 9% 6%

cde H

7-11 months

- - 129 121 151 120 172 71 102 32 43 64 33 55 31 78 44 83 46 94 68 9 4- - 7% 6% 8% 6% 9% 7% 10% 6% 9% 13% 8% 10% 10% 8% 7% 12% 7% 8% 9% 5% 7%

CDF h JkM QS

A year or longer

- - 43 21 30 32 18 9 9 6 1 4 5 5 5 3 4 5 8 11 7 - -- - 2% 1% 2% 2% 1% 1% 1% 1% * 1% 1% 1% 2% * 1% 1% 1% 1% 1% - -

DG g P

Never again

- - 1913 1910 1882 1912 1930 947 984 543 488 488 411 561 323 930 600 704 626 1105 786 177 55- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Visit a casino






- - 127 102 93 105 73 47 26 25 27 12 8 31 9 31 18 31 24 43 25 7 2- - 9% 8% 8% 8% 6% 6% 5% 6% 8% 4% 4% 8% 4% 5% 4% 6% 6% 6% 5% 5% 5%

G g g op

Immediately

- - 185 190 152 153 124 80 44 49 43 14 18 48 14 56 40 40 44 86 35 17 5- - 13% 14% 12% 12% 10% 11% 8% 12% 12% 5% 8% 13% 6% 9% 10% 8% 12% 11% 7% 12% 13%

G G g L L Op U

1-30 days

- - 300 243 235 265 227 155 72 81 73 44 29 66 48 110 88 83 56 128 98 39 3- - 21% 18% 19% 20% 18% 21% 13% 20% 20% 15% 12% 18% 21% 17% 22% 16% 15% 17% 19% 27% 9%

g I m M S

2-3 months

- - 255 256 217 237 245 147 98 79 70 51 45 59 36 141 88 85 72 143 96 35 12- - 18% 19% 18% 18% 19% 20% 18% 19% 20% 18% 19% 16% 16% 22% 22% 17% 19% 19% 19% 24% 33%

N

4-6 months

- - 166 151 150 154 170 88 82 62 44 35 28 49 36 82 50 72 48 102 65 19 7- - 12% 11% 12% 12% 13% 12% 15% 15% 12% 12% 12% 13% 16% 13% 12% 14% 13% 13% 13% 14% 19%

7-11 months

- - 252 281 278 295 334 157 177 82 72 104 76 79 62 178 87 146 101 201 127 20 7- - 18% 21% 23% 23% 26% 21% 32% 20% 20% 36% 32% 21% 28% 28% 21% 29% 27% 27% 25% 14% 19%

c C C CD H JK JK n Q

A year or longer

- - 125 102 103 92 114 55 60 27 27 32 29 41 17 47 36 46 33 54 56 6 1- - 9% 8% 8% 7% 9% 7% 11% 7% 8% 11% 12% 11% 8% 7% 9% 9% 9% 7% 11% 4% 2%

j J p t

Never again

- - 1410 1326 1227 1300 1287 729 559 406 357 291 233 373 222 643 408 502 377 757 502 142 37- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Stay in a hotel






- - 152 138 109 127 102 62 40 32 41 19 10 30 13 53 33 37 33 68 32 8 1- - 9% 8% 7% 7% 6% 7% 5% 6% 9% 4% 3% 7% 5% 6% 6% 6% 6% 7% 5% 5% 2%

eG g m LM

Immediately

- - 256 224 203 215 165 95 69 77 49 21 18 46 17 97 61 46 58 95 65 17 2- - 15% 13% 12% 13% 10% 11% 8% 15% 11% 5% 5% 10% 6% 11% 11% 7% 11% 9% 10% 11% 5%

G G G G kLM LM o O r

1-30 days

- - 398 376 365 362 356 220 136 124 104 71 57 76 62 206 130 122 104 208 142 49 21- - 23% 22% 22% 21% 21% 25% 16% 25% 23% 17% 16% 17% 22% 23% 24% 19% 19% 21% 21% 30% 41%

I LM lm N

2-3 months

- - 386 390 375 355 369 192 176 98 80 103 88 96 56 198 123 127 118 201 164 34 10- - 22% 23% 23% 21% 21% 22% 21% 19% 18% 24% 25% 22% 20% 22% 22% 20% 22% 20% 24% 21% 20%

K K

4-6 months

- - 185 221 211 222 252 122 131 75 74 51 52 57 46 134 80 94 79 162 81 26 6- - 11% 13% 13% 13% 15% 14% 16% 15% 16% 12% 15% 13% 16% 15% 15% 15% 14% 16% 12% 16% 11%

c C U

7-11 months

- - 297 318 317 355 407 167 240 67 84 142 114 115 79 188 104 178 125 228 172 20 8- - 17% 18% 19% 21% 24% 19% 29% 13% 19% 33% 33% 26% 28% 21% 19% 28% 23% 23% 25% 13% 16%

C CDE H j JK JK p P Q

A year or longer

- - 57 59 64 66 80 33 47 29 22 18 10 27 12 37 19 30 31 46 29 8 3- - 3% 3% 4% 4% 5% 4% 6% 6% 5% 4% 3% 6% 4% 4% 3% 5% 6% 5% 4% 5% 6%

Never again

- - 1731 1725 1644 1702 1731 891 840 504 454 425 348 447 285 913 549 634 548 1008 687 161 51- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Go to the office





- - 1333 1319 1217 1251 1242 688 554 466 396 276 104 379 207 605 411 452 379 730 486 133 26Unweighted Base-** -** 1315 1342 1247 1241 1230 708 522 452 398 279 102* 332 183 666 373 461 397 731 468 140* 33**Weighted Base

- - 438 432 368 378 261 151 110 73 99 62 27 67 44 135 90 89 82 166 90 34 6- - 33% 32% 30% 30% 21% 21% 21% 16% 25% 22% 27% 20% 24% 20% 24% 19% 21% 23% 19% 24% 17%

G G G G J j J

Immediately

- - 393 411 363 320 321 183 137 121 108 69 23 78 37 199 99 112 110 180 132 38 6- - 30% 31% 29% 26% 26% 26% 26% 27% 27% 25% 22% 24% 20% 30% 27% 24% 28% 25% 28% 27% 18%

fg FG nO

1-30 days

- - 209 188 221 224 271 157 114 106 95 54 17 68 42 146 71 115 86 154 109 37 10- - 16% 14% 18% 18% 22% 22% 22% 23% 24% 19% 16% 20% 23% 22% 19% 25% 22% 21% 23% 26% 30%

D D CDEF q

2-3 months

- - 105 138 136 145 175 99 76 69 49 34 23 45 33 92 61 63 51 108 65 17 8- - 8% 10% 11% 12% 14% 14% 14% 15% 12% 12% 22% 14% 18% 14% 16% 14% 13% 15% 14% 12% 24%

C C CDE KL

4-6 months

- - 48 81 63 78 80 46 34 45 17 17 2 29 10 40 19 26 35 43 28 8 -- - 4% 6% 5% 6% 7% 6% 7% 10% 4% 6% 2% 9% 6% 6% 5% 6% 9% 6% 6% 5% -

C C C KM q

7-11 months

- - 78 54 55 64 86 50 37 26 23 30 7 29 10 42 22 44 20 51 35 4 1- - 6% 4% 4% 5% 7% 7% 7% 6% 6% 11% 7% 9% 5% 6% 6% 9% 5% 7% 7% 3% 4%

d DE JK s

A year or longer

- - 44 38 40 32 37 23 14 12 8 13 4 16 7 12 11 12 13 28 9 2 2- - 3% 3% 3% 3% 3% 3% 3% 3% 2% 5% 4% 5% 4% 2% 3% 3% 3% 4% 2% 1% 6%

P u

Never again

- - 1315 1342 1247 1241 1230 708 522 452 398 279 102 332 183 666 373 461 397 731 468 140 33- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Go to a sporting event






- - 145 118 117 106 90 59 31 31 37 12 9 31 9 46 30 34 26 57 29 6 -- - 10% 8% 8% 8% 6% 7% 5% 7% 9% 4% 4% 8% 4% 6% 7% 6% 6% 7% 5% 4% -

G g l LM O

Immediately

- - 248 221 195 192 131 75 57 59 43 21 9 39 14 77 42 49 40 87 44 18 5- - 16% 15% 14% 14% 9% 9% 9% 13% 11% 6% 3% 10% 6% 10% 9% 9% 9% 10% 8% 12% 11%

G G G G LM lM o o

1-30 days

- - 353 318 269 283 275 181 93 108 86 44 36 70 44 149 106 99 70 163 107 42 13- - 23% 21% 19% 20% 19% 22% 14% 24% 21% 13% 14% 19% 18% 19% 24% 18% 15% 19% 19% 29% 28%

EG I LM Lm rS

2-3 months

- - 286 321 282 294 326 192 134 114 80 67 65 83 61 171 104 117 105 199 120 32 16- - 19% 22% 20% 21% 22% 24% 21% 25% 20% 20% 26% 22% 25% 22% 23% 21% 23% 23% 22% 23% 34%

C

4-6 months

- - 162 184 163 193 183 117 66 59 60 39 25 42 32 99 43 72 68 100 81 28 1- - 11% 12% 12% 14% 13% 14% 10% 13% 15% 12% 10% 11% 13% 13% 9% 13% 15% 11% 15% 19% 2%

C i Q

7-11 months

- - 234 254 269 270 339 151 188 59 81 122 77 73 66 178 91 146 102 205 126 15 8- - 15% 17% 19% 19% 23% 19% 29% 13% 20% 36% 31% 19% 27% 23% 20% 26% 23% 24% 23% 10% 17%

C C CDEF H J JK JK n q

A year or longer

- - 91 76 92 70 108 34 74 26 18 32 31 38 19 46 34 37 37 58 45 2 5- - 6% 5% 7% 5% 7% 4% 12% 6% 5% 10% 12% 10% 8% 6% 8% 7% 8% 7% 8% 1% 10%

DF H jK JK P

Never again

- - 1519 1490 1386 1408 1453 809 644 457 407 337 252 377 243 767 450 554 449 869 552 143 47- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Go to the movies






- - 149 115 123 150 109 67 42 39 44 19 7 34 15 56 28 35 46 70 35 9 -- - 9% 7% 8% 9% 7% 8% 5% 7% 10% 5% 3% 7% 5% 7% 6% 5% 9% 7% 5% 6% -

G dG i M LM r

Immediately

- - 351 305 322 259 236 119 118 106 73 38 19 63 32 134 65 91 80 147 85 26 3- - 21% 18% 20% 16% 14% 14% 14% 20% 16% 9% 7% 14% 12% 16% 13% 14% 15% 15% 13% 17% 6%

FG fG FG LM LM

1-30 days

- - 420 446 400 412 372 223 149 132 107 74 58 99 67 190 127 143 102 192 169 40 15- - 25% 27% 25% 25% 22% 26% 18% 25% 24% 18% 20% 21% 24% 22% 25% 22% 19% 20% 26% 25% 31%

G I l s T

2-3 months

- - 319 343 310 319 362 191 171 98 99 102 65 95 63 185 98 139 125 225 133 29 15- - 19% 21% 19% 19% 22% 22% 21% 18% 22% 25% 23% 21% 22% 22% 19% 22% 24% 23% 20% 18% 30%

c J

4-6 months

- - 170 170 160 206 225 110 115 74 61 51 38 60 39 118 71 90 64 135 87 29 5- - 10% 10% 10% 12% 13% 13% 14% 14% 13% 13% 13% 13% 14% 14% 14% 14% 12% 14% 13% 18% 11%

ce CDE

7-11 months

- - 213 216 221 242 272 110 162 58 52 93 70 79 45 131 75 109 88 153 115 19 5- - 13% 13% 14% 15% 16% 13% 20% 11% 11% 23% 24% 17% 16% 15% 15% 17% 17% 16% 17% 12% 10%

CDe H JK JK

A year or longer

- - 75 55 76 70 95 37 58 23 18 26 29 33 18 38 38 31 26 55 37 5 6- - 4% 3% 5% 4% 6% 4% 7% 4% 4% 6% 10% 7% 6% 4% 8% 5% 5% 6% 6% 3% 13%

D H JK p

Never again

- - 1697 1650 1612 1659 1672 857 815 530 454 402 286 462 279 852 503 638 531 976 661 158 49- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Host/attend a large social gathering






- - 146 119 119 139 107 63 44 46 32 18 12 44 15 45 34 41 32 59 44 12 3- - 8% 7% 7% 8% 6% 7% 5% 9% 7% 4% 3% 9% 5% 5% 6% 7% 6% 6% 6% 7% 7%

G g LM m oP

Immediately

- - 336 297 298 266 236 122 115 97 75 42 23 79 27 124 79 69 88 142 92 32 4- - 19% 18% 18% 16% 14% 14% 14% 19% 17% 10% 7% 17% 10% 14% 15% 11% 16% 14% 13% 19% 8%

FG G G LM LM O r r

1-30 days

- - 437 410 420 356 379 199 179 141 108 83 47 106 54 202 131 136 111 219 155 43 19- - 25% 24% 26% 21% 22% 23% 21% 27% 24% 20% 14% 22% 19% 23% 25% 22% 20% 22% 23% 27% 41%

Fg Fg LM M m

2-3 months

- - 351 345 326 390 392 212 180 103 103 91 94 75 73 215 120 142 129 228 156 40 13- - 20% 20% 20% 23% 23% 24% 21% 20% 23% 22% 29% 16% 26% 25% 23% 23% 23% 23% 23% 24% 27%

e e J N N

4-6 months

- - 180 203 190 200 223 126 97 69 59 47 48 55 40 114 52 99 72 136 83 18 1- - 10% 12% 12% 12% 13% 14% 12% 13% 13% 11% 15% 12% 14% 13% 10% 16% 13% 14% 12% 11% 2%

c Q

7-11 months

- - 206 240 221 259 309 120 189 47 63 107 92 97 51 143 93 119 98 170 130 18 4- - 12% 14% 13% 15% 18% 14% 23% 9% 14% 26% 28% 20% 18% 17% 18% 19% 18% 17% 19% 11% 9%

C CDEf H J JK JK

A year or longer

- - 73 76 73 69 62 29 33 16 10 22 14 17 19 25 18 17 27 35 26 - 3- - 4% 5% 4% 4% 4% 3% 4% 3% 2% 5% 4% 4% 7% 3% 3% 3% 5% 4% 4% - 6%

K nP

Never again

- - 1729 1689 1647 1678 1708 872 837 520 449 411 329 472 280 869 527 624 557 990 686 162 47- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Take public transportation (e.g., subway, busses, trains)






- - 177 140 119 141 121 67 54 41 42 23 15 58 12 44 27 54 40 58 61 17 2- - 13% 11% 10% 11% 9% 9% 9% 9% 12% 8% 7% 15% 6% 6% 7% 10% 10% 8% 12% 12% 7%

eG OP T

Immediately

- - 253 285 224 214 172 114 58 90 50 21 11 76 24 71 45 82 45 104 65 33 -- - 19% 21% 19% 16% 13% 16% 10% 19% 14% 8% 5% 19% 12% 10% 12% 16% 11% 14% 13% 22% -

G FG G g I kLM LM oP s

1-30 days

- - 302 248 250 257 219 143 76 81 79 44 14 64 29 115 64 84 72 123 95 40 4- - 22% 19% 21% 20% 17% 20% 13% 17% 22% 16% 7% 16% 15% 17% 17% 16% 17% 16% 18% 27% 12%

dG G I M M M

2-3 months

- - 219 213 181 229 237 140 97 95 61 39 42 65 31 129 83 84 70 124 99 25 5- - 16% 16% 15% 17% 18% 19% 17% 20% 17% 14% 20% 16% 16% 19% 22% 16% 17% 16% 19% 17% 17%

l Rs

4-6 months

- - 101 141 107 136 155 88 67 52 39 30 33 36 25 90 45 63 47 95 57 17 3- - 7% 11% 9% 10% 12% 12% 12% 11% 11% 11% 16% 9% 13% 13% 12% 12% 11% 12% 11% 12% 10%

C C Ce n

7-11 months

- - 189 189 184 187 277 124 153 57 70 83 67 58 43 166 71 106 101 177 96 9 9- - 14% 14% 15% 14% 21% 17% 26% 12% 20% 30% 32% 15% 22% 25% 19% 20% 24% 23% 19% 6% 32%

CDEF H J JK JK n N

A year or longer

- - 121 112 124 146 133 55 78 52 17 35 30 35 29 62 34 55 44 83 47 7 6- - 9% 8% 10% 11% 10% 7% 13% 11% 5% 13% 14% 9% 15% 9% 9% 10% 11% 11% 9% 5% 22%

d H K K K nP

Never again

- - 1362 1327 1190 1310 1315 731 584 468 359 276 211 392 194 675 369 529 417 764 521 148 29- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Greet people with a handshake






- - 200 190 176 176 149 84 65 48 47 35 19 55 15 70 48 42 59 88 57 10 3- - 11% 10% 10% 9% 8% 9% 7% 9% 10% 7% 5% 10% 5% 8% 8% 6% 10% 8% 7% 6% 7%

G g m M O R

Immediately

- - 393 322 305 231 250 137 113 110 71 44 26 81 35 122 93 73 84 143 102 34 2- - 21% 17% 17% 12% 13% 15% 12% 20% 15% 9% 6% 15% 11% 13% 16% 10% 14% 13% 13% 20% 3%

DEFG FG FG kLM LM R W

1-30 days

- - 424 401 377 308 327 201 126 110 86 76 54 87 49 170 105 117 105 170 152 35 7- - 22% 21% 21% 17% 17% 21% 13% 20% 18% 16% 13% 16% 16% 18% 18% 17% 17% 16% 19% 21% 13%

FG FG FG I M t

2-3 months

- - 302 307 289 351 291 166 125 102 80 62 47 87 44 146 78 116 96 171 113 27 13- - 16% 16% 16% 19% 15% 18% 13% 19% 17% 13% 12% 16% 14% 16% 13% 17% 16% 16% 14% 16% 25%

ceG I lM m

4-6 months

- - 162 171 142 158 159 78 81 66 35 26 31 37 29 82 56 58 45 92 63 11 3- - 9% 9% 8% 8% 8% 8% 8% 12% 7% 6% 8% 7% 9% 9% 10% 8% 7% 9% 8% 6% 6%

KL

7-11 months

- - 213 239 286 284 333 151 182 58 75 105 95 99 64 148 83 149 101 193 134 19 13- - 11% 13% 16% 15% 18% 16% 19% 10% 16% 22% 23% 18% 21% 16% 14% 21% 17% 18% 17% 11% 25%

CD Cd CD J JK JK Qs v

A year or longer

- - 195 239 245 351 388 125 264 56 79 121 132 108 73 185 126 142 120 225 156 35 11- - 10% 13% 13% 19% 20% 13% 28% 10% 17% 26% 33% 20% 24% 20% 21% 20% 20% 21% 20% 21% 21%

c C CDE CDE H J JK JKl

Never again

- - 1888 1869 1820 1858 1897 941 956 549 474 469 405 554 308 923 591 696 610 1081 778 171 52- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 206VOT01 Do you approve or disapprove of conducting vote-by-mail for November’s presidential election?






- - - - - - 1478 729 749 463 378 342 295 449 247 700 405 624 450 847 599 124 38- - - - - - 73% 74% 72% 77% 75% 68% 70% 74% 74% 73% 65% 85% 67% 74% 72% 69% 67%

LM L QS

Approve

- - - - - - 551 258 293 135 127 160 129 161 85 265 219 112 220 298 237 57 19- - - - - - 27% 26% 28% 23% 25% 32% 30% 26% 26% 27% 35% 15% 33% 26% 28% 31% 33%

JK J R R

Disapprove

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 207VOT02 Which of the following are reason(s) why you disapprove of conducting vote-by-mail for November’s presidential election? Please select all that apply.

Base: Disapprove Of Conducting Vote-By-Mail For Presidential Election




- - - - - - 531 256 275 123 115 167 126 181 98 215 226 101 204 286 230 48 14Unweighted Base-** -** -** -** -** -** 551 258 293 135* 127* 160 129* 161 85* 265 219 112* 220 298 237 57* 19**Weighted Base

- - - - - - 431 211 221 76 96 136 124 113 65 223 196 79 156 242 181 45 15- - - - - - 78% 82% 75% 56% 76% 85% 96% 70% 77% 84% 90% 71% 71% 81% 76% 79% 82%

J J JKL N RS

Fear of voter fraud

- - - - - - 315 157 158 65 62 97 92 91 39 159 142 68 105 172 139 33 11- - - - - - 57% 61% 54% 48% 49% 61% 71% 56% 46% 60% 65% 61% 48% 58% 59% 58% 58%

jk JK o S s

Issues with counting votes

- - - - - - 312 172 140 55 69 97 91 90 51 148 132 59 121 180 125 31 8- - - - - - 57% 67% 48% 41% 54% 61% 70% 56% 61% 56% 60% 53% 55% 60% 53% 54% 45%

I j J JK

I think voting should bedone in person

- - - - - - 307 159 149 61 67 90 89 87 43 153 131 59 117 165 134 32 12- - - - - - 56% 61% 51% 45% 53% 56% 69% 54% 51% 58% 60% 53% 53% 56% 56% 56% 66%

I JKl

Concern with security

- - - - - - 30 12 18 5 3 13 8 10 5 13 14 3 13 9 20 2 -- - - - - - 5% 4% 6% 4% 3% 8% 7% 6% 6% 5% 6% 3% 6% 3% 9% 3% -

T

Other

- - - - - - 32 7 26 20 9 3 - 13 3 12 3 9 20 14 14 5 1- - - - - - 6% 3% 9% 15% 7% 2% - 8% 4% 5% 2% 8% 9% 5% 6% 9% 6%

H LM lM Q Q

Not at all sure

- - - - - - 1428 717 711 282 306 436 404 404 207 709 618 277 534 783 613 147 48- - - - - - 259% 278% 243% 209% 242% 272% 312% 252% 244% 267% 282% 247% 242% 263% 259% 260% 258%

Sigma



20 Apr 2020Table 208Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Summary Of More Positive





- - 2023 2016 - 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** 2023 2016 -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - 1095 1253 - 1302 1230 604 625 329 296 302 303 340 216 618 372 468 389 722 492 117 35- - 54% 62% - 65% 61% 61% 60% 55% 59% 60% 71% 56% 65% 64% 60% 64% 58% 63% 59% 65% 61%

C CG C JKL N N s

Healthcare(Doctors/Nurses/Hospital)

- - 828 966 - 1073 1042 505 537 302 261 232 247 298 174 524 318 409 315 629 403 94 26- - 41% 48% - 53% 51% 51% 52% 51% 52% 46% 58% 49% 52% 54% 51% 56% 47% 55% 48% 52% 45%

C CD Cd jL n S U

Retail - grocery

- - 752 826 - 904 883 453 430 267 217 194 204 235 152 457 274 333 276 510 358 78 18- - 37% 41% - 45% 44% 46% 41% 45% 43% 39% 48% 39% 46% 47% 44% 45% 41% 45% 43% 43% 32%

c Cd C i l L n N

Small Businesses

- - 632 753 - 862 817 426 390 265 222 181 149 227 135 421 265 307 244 480 319 87 18- - 31% 37% - 43% 40% 43% 37% 44% 44% 36% 35% 37% 41% 44% 43% 42% 36% 42% 38% 48% 31%

C CD C I LM LM N s s w

Food & Beverage

- - 618 739 - 819 767 424 343 287 185 128 167 211 117 413 240 317 210 449 303 76 18- - 31% 37% - 41% 38% 43% 33% 48% 37% 25% 39% 35% 35% 43% 39% 43% 31% 39% 36% 42% 32%

C CD C I KLM L L NO S S

Technology

- - 612 757 - 819 766 378 388 225 182 177 182 201 130 402 235 292 240 453 293 73 19- - 30% 38% - 41% 38% 38% 37% 38% 36% 35% 43% 33% 39% 42% 38% 40% 36% 40% 35% 40% 33%

C C C kl N u

Restaurants

- - 671 779 - 797 744 420 324 222 195 141 186 199 127 389 257 285 202 447 286 93 16- - 33% 39% - 40% 37% 43% 31% 37% 39% 28% 44% 33% 38% 40% 41% 39% 30% 39% 34% 51% 28%

C C c I L L jL N S S u W

Pharmaceutical/drugs

- - 597 674 - 764 711 358 353 238 171 150 153 206 130 343 197 314 201 428 274 72 17- - 29% 33% - 38% 35% 36% 34% 40% 34% 30% 36% 34% 39% 36% 32% 43% 30% 37% 33% 40% 31%

C CD C kL QS u

Non-profits

- - 545 645 - 739 637 329 307 207 165 121 144 167 111 328 199 244 194 386 236 56 14- - 27% 32% - 37% 31% 33% 30% 35% 33% 24% 34% 27% 34% 34% 32% 33% 29% 34% 28% 31% 25%

C CDG C L L L n N U

Manufacturing

- - 551 595 - 666 628 323 305 199 160 127 142 181 90 335 190 258 180 386 229 54 17- - 27% 30% - 33% 31% 33% 29% 33% 32% 25% 33% 30% 27% 35% 31% 35% 27% 34% 27% 30% 29%

Cd C L l L nO S U

Retail

- - 407 502 - 638 592 305 287 260 149 94 89 173 99 302 165 261 166 358 219 72 8- - 20% 25% - 32% 29% 31% 28% 44% 30% 19% 21% 28% 30% 31% 26% 36% 25% 31% 26% 40% 15%

C CD CD KLM LM QS U W

Entertainment

- - 450 524 - 581 532 280 252 180 151 86 116 170 74 265 131 248 153 350 169 74 9- - 22% 26% - 29% 26% 28% 24% 30% 30% 17% 27% 28% 22% 27% 21% 34% 23% 31% 20% 41% 16%

C C C i L L L o QS U W

Media

- - 410 479 - 569 511 277 234 203 136 72 101 130 81 287 184 192 135 317 185 64 13- - 20% 24% - 28% 25% 28% 22% 34% 27% 14% 24% 21% 24% 30% 30% 26% 20% 28% 22% 36% 23%

C CDg C I KLM L L N S S U

Financial services

- - 388 458 - 534 459 271 187 162 116 77 104 136 77 234 148 166 145 293 154 47 11- - 19% 23% - 27% 23% 27% 18% 27% 23% 15% 24% 22% 23% 24% 24% 23% 22% 26% 18% 26% 19%

C CDG C I L L L U

Automotive

- - 385 421 - 492 430 263 168 187 114 65 64 124 66 228 140 167 124 263 154 52 6- - 19% 21% - 24% 21% 27% 16% 31% 23% 13% 15% 20% 20% 24% 22% 23% 19% 23% 18% 29% 10%

CDg I KLM LM U W

Travel and hospitality(hotels, cruise lines)




Summary Of More Positive





-** -** 2023 2016 -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base- - 424 422 - 475 429 240 190 158 111 73 87 118 75 217 155 148 126 278 144 54 8- - 21% 21% - 24% 21% 24% 18% 26% 22% 15% 21% 19% 23% 23% 25% 20% 19% 24% 17% 30% 14%

I Lm L l rS U w

Oil

- - 268 318 - 335 379 231 148 182 102 52 43 101 60 209 109 143 127 239 132 44 3- - 13% 16% - 17% 19% 23% 14% 30% 20% 10% 10% 17% 18% 22% 17% 19% 19% 21% 16% 24% 6%

c C Cd I KLM LM N U W

Real estate

- - 361 362 - 405 371 209 163 149 102 57 64 99 58 203 131 132 109 224 136 39 10- - 18% 18% - 20% 18% 21% 16% 25% 20% 11% 15% 16% 18% 21% 21% 18% 16% 20% 16% 22% 17%

I LM L n s

Airlines




Summary Of More Negative






- - 668 591 - 546 565 313 252 157 136 146 126 149 100 275 249 116 200 307 244 47 17- - 33% 29% - 27% 28% 32% 24% 26% 27% 29% 30% 24% 30% 29% 40% 16% 30% 27% 29% 26% 30%

DFG I n RS R

Media

- - 583 511 - 513 509 267 242 138 140 115 116 131 89 256 176 185 147 297 198 49 15- - 29% 25% - 25% 25% 27% 23% 23% 28% 23% 27% 21% 27% 27% 28% 25% 22% 26% 24% 27% 26%

dfG n S


- - 577 544 - 498 505 288 217 171 120 124 90 142 101 244 142 198 165 292 201 54 12- - 29% 27% - 25% 25% 29% 21% 29% 24% 25% 21% 23% 30% 25% 23% 27% 25% 26% 24% 30% 20%

FG I M N

Airlines

- - 383 336 - 350 344 204 140 122 97 74 51 125 52 148 97 120 126 199 133 36 5- - 19% 17% - 17% 17% 21% 13% 20% 19% 15% 12% 21% 16% 15% 16% 16% 19% 17% 16% 20% 10%

I LM M oP

Financial services

- - 269 232 - 280 311 200 111 117 87 56 52 96 49 155 90 115 106 163 135 31 7- - 13% 12% - 14% 15% 20% 11% 20% 17% 11% 12% 16% 15% 16% 14% 16% 16% 14% 16% 17% 12%

d D I LM Lm

Oil

- - 398 305 - 260 287 183 104 118 84 51 33 96 37 138 104 93 90 161 119 31 6- - 20% 15% - 13% 14% 19% 10% 20% 17% 10% 8% 16% 11% 14% 17% 13% 13% 14% 14% 17% 11%

DFG I LM LM o r

Restaurants

- - 310 269 - 253 271 155 116 118 62 56 35 98 38 121 86 91 94 140 117 21 3- - 15% 13% - 13% 13% 16% 11% 20% 12% 11% 8% 16% 12% 13% 14% 12% 14% 12% 14% 12% 5%

F I KLM p


- - 403 334 - 265 268 162 106 68 85 61 53 80 34 135 106 68 94 153 107 25 1- - 20% 17% - 13% 13% 16% 10% 11% 17% 12% 13% 13% 10% 14% 17% 9% 14% 13% 13% 14% 3%

DFG FG I Jl R R w

Entertainment

- - 255 252 - 209 254 166 88 107 76 44 27 75 44 125 82 98 73 151 99 34 2- - 13% 13% - 10% 13% 17% 8% 18% 15% 9% 6% 12% 13% 13% 13% 13% 11% 13% 12% 19% 3%

f f f I LM LM W

Automotive

- - 292 268 - 286 251 154 97 92 76 43 40 83 33 117 90 97 64 136 106 28 4- - 14% 13% - 14% 12% 16% 9% 15% 15% 9% 9% 14% 10% 12% 14% 13% 10% 12% 13% 15% 7%

I LM LM S s

Real estate

- - 308 266 - 268 247 167 80 107 75 43 23 72 33 133 87 88 73 144 98 33 3- - 15% 13% - 13% 12% 17% 8% 18% 15% 9% 5% 12% 10% 14% 14% 12% 11% 13% 12% 18% 5%

G I LM LM w

Manufacturing

- - 338 292 - 252 245 151 94 106 63 49 27 76 49 108 87 81 76 125 115 27 5- - 17% 14% - 13% 12% 15% 9% 18% 12% 10% 6% 12% 15% 11% 14% 11% 11% 11% 14% 15% 10%

FG g I KLM M

Retail

- - 355 255 - 218 231 126 106 82 71 45 33 78 37 102 88 75 69 126 88 36 6- - 18% 13% - 11% 11% 13% 10% 14% 14% 9% 8% 13% 11% 11% 14% 10% 10% 11% 10% 20% 11%

DFG LM LM rs

Retail - grocery

- - 287 244 - 248 219 135 84 96 70 36 17 72 22 106 84 78 57 125 86 29 7- - 14% 12% - 12% 11% 14% 8% 16% 14% 7% 4% 12% 7% 11% 13% 11% 9% 11% 10% 16% 13%

G I LM LM m O o S

Small Businesses

- - 306 251 - 180 207 117 90 92 58 34 22 68 23 105 71 71 65 117 80 22 2- - 15% 12% - 9% 10% 12% 9% 15% 12% 7% 5% 11% 7% 11% 11% 10% 10% 10% 10% 12% 3%

dFG Fg i LM LM o o w

Food & Beverage




Summary Of More Negative





-** -** 2023 2016 -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base- - 248 207 - 192 192 136 56 74 71 27 21 49 30 103 64 66 62 115 71 15 3- - 12% 10% - 10% 9% 14% 5% 12% 14% 5% 5% 8% 9% 11% 10% 9% 9% 10% 8% 8% 5%

FG I LM LM

Non-profits

- - 219 178 - 175 180 115 64 67 57 32 23 68 26 79 65 49 66 98 75 22 1- - 11% 9% - 9% 9% 12% 6% 11% 11% 6% 5% 11% 8% 8% 10% 7% 10% 9% 9% 12% 3%

dfg I LM LM p R r w

Technology

- - 217 169 - 155 178 112 67 80 64 25 10 67 23 78 65 62 51 102 69 23 5- - 11% 8% - 8% 9% 11% 6% 13% 13% 5% 2% 11% 7% 8% 10% 8% 8% 9% 8% 13% 9%

DFg I LM LM m op




20 Apr 2020Table 210Q38_1 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Financial services






- - 794 815 - 919 855 481 374 324 233 146 152 256 133 435 282 312 261 516 318 100 19- - 39% 40% - 46% 42% 49% 36% 54% 46% 29% 36% 42% 40% 45% 45% 42% 39% 45% 38% 55% 33%

CDg I KLM LM l s U W

More Positive/Negative(Net)

- - 410 479 - 569 511 277 234 203 136 72 101 130 81 287 184 192 135 317 185 64 13- - 20% 24% - 28% 25% 28% 22% 34% 27% 14% 24% 21% 24% 30% 30% 26% 20% 28% 22% 36% 23%

C CDg C I KLM L L N S S U

More positive

- - 383 336 - 350 344 204 140 122 97 74 51 125 52 148 97 120 126 199 133 36 5- - 19% 17% - 17% 17% 21% 13% 20% 19% 15% 12% 21% 16% 15% 16% 16% 19% 17% 16% 20% 10%

I LM M oP

More negative

- - 1229 1201 - 1094 1174 506 668 274 271 356 273 353 199 530 342 424 409 628 518 80 38- - 61% 60% - 54% 58% 51% 64% 46% 54% 71% 64% 58% 60% 55% 55% 58% 61% 55% 62% 45% 67%

F F f H J JKm JK q T V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail






- - 890 887 - 918 873 474 399 306 222 176 169 257 139 442 278 339 256 510 344 81 22- - 44% 44% - 46% 43% 48% 38% 51% 44% 35% 40% 42% 42% 46% 45% 46% 38% 45% 41% 45% 39%

I kLM L s S


- - 551 595 - 666 628 323 305 199 160 127 142 181 90 335 190 258 180 386 229 54 17- - 27% 30% - 33% 31% 33% 29% 33% 32% 25% 33% 30% 27% 35% 31% 35% 27% 34% 27% 30% 29%

Cd C L l L nO S U

More positive

- - 338 292 - 252 245 151 94 106 63 49 27 76 49 108 87 81 76 125 115 27 5- - 17% 14% - 13% 12% 15% 9% 18% 12% 10% 6% 12% 15% 11% 14% 11% 11% 11% 14% 15% 10%

FG g I KLM M

More negative

- - 1133 1129 - 1095 1156 513 643 292 282 327 255 352 193 523 346 397 414 634 491 99 35- - 56% 56% - 54% 57% 52% 62% 49% 56% 65% 60% 58% 58% 54% 55% 54% 62% 55% 59% 55% 61%

H j JK J qR

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Technology






- - 837 917 - 994 947 539 408 354 243 160 191 280 143 492 305 366 276 546 378 98 20- - 41% 45% - 49% 47% 55% 39% 59% 48% 32% 45% 46% 43% 51% 49% 50% 41% 48% 45% 54% 35%

C Cd C I KLM L L O S S W


- - 618 739 - 819 767 424 343 287 185 128 167 211 117 413 240 317 210 449 303 76 18- - 31% 37% - 41% 38% 43% 33% 48% 37% 25% 39% 35% 35% 43% 39% 43% 31% 39% 36% 42% 32%

C CD C I KLM L L NO S S

More positive

- - 219 178 - 175 180 115 64 67 57 32 23 68 26 79 65 49 66 98 75 22 1- - 11% 9% - 9% 9% 12% 6% 11% 11% 6% 5% 11% 8% 8% 10% 7% 10% 9% 9% 12% 3%

dfg I LM LM p R r w

More negative

- - 1186 1099 - 1019 1082 448 634 244 262 343 234 329 189 473 318 370 394 598 457 83 37- - 59% 55% - 51% 53% 45% 61% 41% 52% 68% 55% 54% 57% 49% 51% 50% 59% 52% 55% 46% 65%

DFG f H J JKM J P QR V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Media






- - 1118 1116 - 1127 1097 593 503 337 286 232 241 319 174 541 380 364 353 657 412 122 26- - 55% 55% - 56% 54% 60% 48% 56% 57% 46% 57% 52% 53% 56% 61% 49% 53% 57% 49% 67% 46%

I L L L RS U W


- - 450 524 - 581 532 280 252 180 151 86 116 170 74 265 131 248 153 350 169 74 9- - 22% 26% - 29% 26% 28% 24% 30% 30% 17% 27% 28% 22% 27% 21% 34% 23% 31% 20% 41% 16%

C C C i L L L o QS U W

More positive

- - 668 591 - 546 565 313 252 157 136 146 126 149 100 275 249 116 200 307 244 47 17- - 33% 29% - 27% 28% 32% 24% 26% 27% 29% 30% 24% 30% 29% 40% 16% 30% 27% 29% 26% 30%

DFG I n RS R

More negative

- - 905 900 - 886 932 394 538 261 218 270 183 290 157 425 243 372 317 488 423 59 31- - 45% 45% - 44% 46% 40% 52% 44% 43% 54% 43% 48% 47% 44% 39% 51% 47% 43% 51% 33% 54%

H JKM Q Q T V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Automotive






- - 643 711 - 743 712 437 275 269 192 121 130 212 121 360 230 265 218 444 253 81 12- - 32% 35% - 37% 35% 44% 26% 45% 38% 24% 31% 35% 36% 37% 37% 36% 33% 39% 30% 45% 22%

c C c I kLM Lm l U W


- - 388 458 - 534 459 271 187 162 116 77 104 136 77 234 148 166 145 293 154 47 11- - 19% 23% - 27% 23% 27% 18% 27% 23% 15% 24% 22% 23% 24% 24% 23% 22% 26% 18% 26% 19%

C CDG C I L L L U

More positive

- - 255 252 - 209 254 166 88 107 76 44 27 75 44 125 82 98 73 151 99 34 2- - 13% 13% - 10% 13% 17% 8% 18% 15% 9% 6% 12% 13% 13% 13% 13% 11% 13% 12% 19% 3%

f f f I LM LM W

More negative

- - 1380 1305 - 1270 1317 550 766 329 313 381 294 398 211 605 394 471 452 700 582 99 44- - 68% 65% - 63% 65% 56% 74% 55% 62% 76% 69% 65% 64% 63% 63% 64% 67% 61% 70% 55% 78%

dFg H j JKm Jk T V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Healthcare (Doctors/Nurses/Hospital)






- - 1312 1422 - 1456 1408 716 692 409 360 327 312 407 239 696 437 530 440 823 561 139 40- - 65% 71% - 72% 69% 73% 66% 68% 71% 65% 74% 67% 72% 72% 70% 72% 66% 72% 67% 77% 71%

C Cg C I l L n S u


- - 1095 1253 - 1302 1230 604 625 329 296 302 303 340 216 618 372 468 389 722 492 117 35- - 54% 62% - 65% 61% 61% 60% 55% 59% 60% 71% 56% 65% 64% 60% 64% 58% 63% 59% 65% 61%

C CG C JKL N N s

More positive

- - 217 169 - 155 178 112 67 80 64 25 10 67 23 78 65 62 51 102 69 23 5- - 11% 8% - 8% 9% 11% 6% 13% 13% 5% 2% 11% 7% 8% 10% 8% 8% 9% 8% 13% 9%

DFg I LM LM m op

More negative

- - 711 594 - 557 621 271 350 188 145 176 112 202 93 269 186 205 230 321 275 41 17- - 35% 29% - 28% 31% 27% 34% 32% 29% 35% 26% 33% 28% 28% 30% 28% 34% 28% 33% 23% 29%

DFG f H kM p R t

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Food & Beverage






- - 938 1004 - 1042 1023 543 480 356 280 215 171 296 157 527 336 378 309 597 399 109 19- - 46% 50% - 52% 50% 55% 46% 60% 56% 43% 40% 49% 47% 55% 54% 51% 46% 52% 48% 60% 34%

c C C I LM LM no S W


- - 632 753 - 862 817 426 390 265 222 181 149 227 135 421 265 307 244 480 319 87 18- - 31% 37% - 43% 40% 43% 37% 44% 44% 36% 35% 37% 41% 44% 43% 42% 36% 42% 38% 48% 31%

C CD C I LM LM N s s w

More positive

- - 306 251 - 180 207 117 90 92 58 34 22 68 23 105 71 71 65 117 80 22 2- - 15% 12% - 9% 10% 12% 9% 15% 12% 7% 5% 11% 7% 11% 11% 10% 10% 10% 10% 12% 3%

dFG Fg i LM LM o o w

More negative

- - 1085 1012 - 971 1006 444 562 242 224 287 253 313 175 438 287 358 361 547 436 71 38- - 54% 50% - 48% 50% 45% 54% 40% 44% 57% 60% 51% 53% 45% 46% 49% 54% 48% 52% 40% 66%

dFG H JK JK p p Q V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Entertainment






- - 810 836 - 903 860 467 393 329 235 155 142 253 133 438 271 329 260 511 326 96 10- - 40% 41% - 45% 42% 47% 38% 55% 46% 31% 33% 42% 40% 45% 44% 45% 39% 45% 39% 53% 17%

Cd I KLM LM s U W


- - 407 502 - 638 592 305 287 260 149 94 89 173 99 302 165 261 166 358 219 72 8- - 20% 25% - 32% 29% 31% 28% 44% 30% 19% 21% 28% 30% 31% 26% 36% 25% 31% 26% 40% 15%

C CD CD KLM LM QS U W

More positive

- - 403 334 - 265 268 162 106 68 85 61 53 80 34 135 106 68 94 153 107 25 1- - 20% 17% - 13% 13% 16% 10% 11% 17% 12% 13% 13% 10% 14% 17% 9% 14% 13% 13% 14% 3%

DFG FG I Jl R R w

More negative

- - 1213 1180 - 1110 1169 520 648 269 270 347 282 356 199 528 352 407 410 633 510 84 47- - 60% 59% - 55% 58% 53% 62% 45% 54% 69% 67% 58% 60% 55% 56% 55% 61% 55% 61% 47% 83%

F f H J JK JK r T V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Travel and hospitality (hotels, cruise lines)






- - 968 932 - 1005 940 530 410 326 254 180 180 255 155 484 316 352 272 560 353 102 21- - 48% 46% - 50% 46% 54% 39% 54% 50% 36% 42% 42% 47% 50% 51% 48% 41% 49% 42% 56% 37%

dg I LM Lm l N S S U W


- - 385 421 - 492 430 263 168 187 114 65 64 124 66 228 140 167 124 263 154 52 6- - 19% 21% - 24% 21% 27% 16% 31% 23% 13% 15% 20% 20% 24% 22% 23% 19% 23% 18% 29% 10%

CDg I KLM LM U W

More positive

- - 583 511 - 513 509 267 242 138 140 115 116 131 89 256 176 185 147 297 198 49 15- - 29% 25% - 25% 25% 27% 23% 23% 28% 23% 27% 21% 27% 27% 28% 25% 22% 26% 24% 27% 26%

dfG n S

More negative

- - 1055 1084 - 1008 1089 457 632 272 250 323 244 355 177 482 307 384 398 584 483 79 36- - 52% 54% - 50% 54% 46% 61% 46% 50% 64% 58% 58% 53% 50% 49% 52% 59% 51% 58% 44% 63%

f f H JKm Jk P QR T V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Airlines






- - 938 905 - 903 876 497 380 320 222 180 153 241 159 447 273 330 274 516 337 93 21- - 46% 45% - 45% 43% 50% 36% 54% 44% 36% 36% 40% 48% 46% 44% 45% 41% 45% 40% 52% 38%

I KLM Lm N N u


- - 361 362 - 405 371 209 163 149 102 57 64 99 58 203 131 132 109 224 136 39 10- - 18% 18% - 20% 18% 21% 16% 25% 20% 11% 15% 16% 18% 21% 21% 18% 16% 20% 16% 22% 17%

I LM L n s

More positive

- - 577 544 - 498 505 288 217 171 120 124 90 142 101 244 142 198 165 292 201 54 12- - 29% 27% - 25% 25% 29% 21% 29% 24% 25% 21% 23% 30% 25% 23% 27% 25% 26% 24% 30% 20%

FG I M N

More negative

- - 1085 1111 - 1110 1153 491 662 278 282 322 271 368 173 518 351 406 396 628 499 87 36- - 54% 55% - 55% 57% 50% 64% 46% 56% 64% 64% 60% 52% 54% 56% 55% 59% 55% 60% 48% 62%

H J JK Jk OP t

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Non-profits






- - 845 881 - 956 903 495 409 312 241 177 173 255 161 446 260 380 263 543 345 87 20- - 42% 44% - 47% 45% 50% 39% 52% 48% 35% 41% 42% 48% 46% 42% 52% 39% 47% 41% 48% 36%

Cd I LM Lm n QS U


- - 597 674 - 764 711 358 353 238 171 150 153 206 130 343 197 314 201 428 274 72 17- - 29% 33% - 38% 35% 36% 34% 40% 34% 30% 36% 34% 39% 36% 32% 43% 30% 37% 33% 40% 31%

C CD C kL QS u

More positive

- - 248 207 - 192 192 136 56 74 71 27 21 49 30 103 64 66 62 115 71 15 3- - 12% 10% - 10% 9% 14% 5% 12% 14% 5% 5% 8% 9% 11% 10% 9% 9% 10% 8% 8% 5%

FG I LM LM

More negative

- - 1178 1135 - 1057 1126 493 633 285 263 326 251 354 171 519 363 356 407 602 490 94 36- - 58% 56% - 53% 55% 50% 61% 48% 52% 65% 59% 58% 52% 54% 58% 48% 61% 53% 59% 52% 64%

F f H JK Jk o R R T

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Real estate






- - 560 586 - 621 629 384 245 274 177 95 84 184 93 326 199 240 191 375 239 71 7- - 28% 29% - 31% 31% 39% 24% 46% 35% 19% 20% 30% 28% 34% 32% 33% 29% 33% 29% 40% 13%

c c I KLM LM W


- - 268 318 - 335 379 231 148 182 102 52 43 101 60 209 109 143 127 239 132 44 3- - 13% 16% - 17% 19% 23% 14% 30% 20% 10% 10% 17% 18% 22% 17% 19% 19% 21% 16% 24% 6%

c C Cd I KLM LM N U W

More positive

- - 292 268 - 286 251 154 97 92 76 43 40 83 33 117 90 97 64 136 106 28 4- - 14% 13% - 14% 12% 16% 9% 15% 15% 9% 9% 14% 10% 12% 14% 13% 10% 12% 13% 15% 7%

I LM LM S s

More negative

- - 1463 1430 - 1392 1400 603 797 324 327 408 341 425 239 639 425 496 479 769 596 109 49- - 72% 71% - 69% 69% 61% 76% 54% 65% 81% 80% 70% 72% 66% 68% 67% 71% 67% 71% 60% 87%

fg H J JK JK V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail - grocery






- - 1184 1220 - 1291 1273 630 643 384 332 278 279 376 211 626 406 484 384 755 490 130 32- - 59% 61% - 64% 63% 64% 62% 64% 66% 55% 66% 62% 63% 65% 65% 66% 57% 66% 59% 72% 56%

Cd C L L L S S U w


- - 828 966 - 1073 1042 505 537 302 261 232 247 298 174 524 318 409 315 629 403 94 26- - 41% 48% - 53% 51% 51% 52% 51% 52% 46% 58% 49% 52% 54% 51% 56% 47% 55% 48% 52% 45%

C CD Cd jL n S U

More positive

- - 355 255 - 218 231 126 106 82 71 45 33 78 37 102 88 75 69 126 88 36 6- - 18% 13% - 11% 11% 13% 10% 14% 14% 9% 8% 13% 11% 11% 14% 10% 10% 11% 10% 20% 11%

DFG LM LM rs

More negative

- - 839 796 - 722 756 357 399 213 172 225 145 233 121 339 218 252 286 389 345 50 25- - 41% 39% - 36% 37% 36% 38% 36% 34% 45% 34% 38% 37% 35% 35% 34% 43% 34% 41% 28% 44%

FG f JKM QR T v

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - 981 1049 - 1050 1015 575 440 340 257 197 221 297 165 510 343 376 296 586 403 113 19- - 48% 52% - 52% 50% 58% 42% 57% 51% 39% 52% 49% 50% 53% 55% 51% 44% 51% 48% 63% 33%

c c I L L L S S W


- - 671 779 - 797 744 420 324 222 195 141 186 199 127 389 257 285 202 447 286 93 16- - 33% 39% - 40% 37% 43% 31% 37% 39% 28% 44% 33% 38% 40% 41% 39% 30% 39% 34% 51% 28%

C C c I L L jL N S S u W

More positive

- - 310 269 - 253 271 155 116 118 62 56 35 98 38 121 86 91 94 140 117 21 3- - 15% 13% - 13% 13% 16% 11% 20% 12% 11% 8% 16% 12% 13% 14% 12% 14% 12% 14% 12% 5%

F I KLM p

More negative

- - 1042 967 - 963 1014 412 602 258 247 305 204 312 167 455 281 360 374 558 433 67 38- - 52% 48% - 48% 50% 42% 58% 43% 49% 61% 48% 51% 50% 47% 45% 49% 56% 49% 52% 37% 67%

df H JKM QR V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Oil






- - 693 655 - 755 740 440 300 275 198 129 139 214 124 372 245 263 232 441 279 85 15- - 34% 32% - 38% 36% 45% 29% 46% 39% 26% 33% 35% 37% 39% 39% 36% 35% 38% 33% 47% 27%

cD D I kLM L l u W


- - 424 422 - 475 429 240 190 158 111 73 87 118 75 217 155 148 126 278 144 54 8- - 21% 21% - 24% 21% 24% 18% 26% 22% 15% 21% 19% 23% 23% 25% 20% 19% 24% 17% 30% 14%

I Lm L l rS U w

More positive

- - 269 232 - 280 311 200 111 117 87 56 52 96 49 155 90 115 106 163 135 31 7- - 13% 12% - 14% 15% 20% 11% 20% 17% 11% 12% 16% 15% 16% 14% 16% 16% 14% 16% 17% 12%

d D I LM Lm

More negative

- - 1330 1361 - 1258 1289 547 741 323 307 374 285 395 208 593 378 472 438 704 557 95 42- - 66% 68% - 62% 64% 55% 71% 54% 61% 74% 67% 65% 63% 61% 61% 64% 65% 62% 67% 53% 73%

f FG H j JKm J t V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Restaurants






- - 1009 1062 - 1079 1053 561 492 344 266 229 215 297 167 540 339 384 330 614 413 104 25- - 50% 53% - 54% 52% 57% 47% 57% 53% 46% 51% 49% 50% 56% 54% 52% 49% 54% 49% 58% 44%

c I Lm l N


- - 612 757 - 819 766 378 388 225 182 177 182 201 130 402 235 292 240 453 293 73 19- - 30% 38% - 41% 38% 38% 37% 38% 36% 35% 43% 33% 39% 42% 38% 40% 36% 40% 35% 40% 33%

C C C kl N u

More positive

- - 398 305 - 260 287 183 104 118 84 51 33 96 37 138 104 93 90 161 119 31 6- - 20% 15% - 13% 14% 19% 10% 20% 17% 10% 8% 16% 11% 14% 17% 13% 13% 14% 14% 17% 11%

DFG I LM LM o r

More negative

- - 1014 954 - 934 976 426 550 254 238 274 209 312 165 425 284 352 340 530 423 76 32- - 50% 47% - 46% 48% 43% 53% 43% 47% 54% 49% 51% 50% 44% 46% 48% 51% 46% 51% 42% 56%

f H Jk j P

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Manufacturing






- - 853 911 - 1007 884 496 387 314 240 164 166 239 145 462 285 332 267 529 333 89 17- - 42% 45% - 50% 44% 50% 37% 52% 48% 33% 39% 39% 44% 48% 46% 45% 40% 46% 40% 49% 30%

CDG I LM LM l N s U W


- - 545 645 - 739 637 329 307 207 165 121 144 167 111 328 199 244 194 386 236 56 14- - 27% 32% - 37% 31% 33% 30% 35% 33% 24% 34% 27% 34% 34% 32% 33% 29% 34% 28% 31% 25%

C CDG C L L L n N U

More positive

- - 308 266 - 268 247 167 80 107 75 43 23 72 33 133 87 88 73 144 98 33 3- - 15% 13% - 13% 12% 17% 8% 18% 15% 9% 5% 12% 10% 14% 14% 12% 11% 13% 12% 18% 5%

G I LM LM w

More negative

- - 1170 1105 - 1006 1145 491 654 284 264 338 258 370 187 504 338 404 403 615 502 91 40- - 58% 55% - 50% 56% 50% 63% 48% 52% 67% 61% 61% 56% 52% 54% 55% 60% 54% 60% 51% 70%

F F F H JKm JK P q T V

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Small Businesses






- - 1038 1070 - 1152 1102 589 513 363 287 230 221 307 174 563 358 411 333 635 444 107 25- - 51% 53% - 57% 54% 60% 49% 61% 57% 46% 52% 50% 52% 58% 57% 56% 50% 55% 53% 60% 45%

CD I LM L N S s


- - 752 826 - 904 883 453 430 267 217 194 204 235 152 457 274 333 276 510 358 78 18- - 37% 41% - 45% 44% 46% 41% 45% 43% 39% 48% 39% 46% 47% 44% 45% 41% 45% 43% 43% 32%

c Cd C i l L n N

More positive

- - 287 244 - 248 219 135 84 96 70 36 17 72 22 106 84 78 57 125 86 29 7- - 14% 12% - 12% 11% 14% 8% 16% 14% 7% 4% 12% 7% 11% 13% 11% 9% 11% 10% 16% 13%

G I LM LM m O o S

More negative

- - 985 946 - 861 927 399 528 234 217 272 203 302 158 402 266 324 337 510 392 73 31- - 49% 47% - 43% 46% 40% 51% 39% 43% 54% 48% 50% 48% 42% 43% 44% 50% 45% 47% 40% 55%

F F H JK J P Qr

Unchanged

- - 2023 2016 - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 228Q43 Which of the following industries do you think should provide solutions during the Covid-19 outbreak? Please select all

that apply.






- - 1140 1244 - 1165 1174 573 602 296 280 313 285 317 191 587 366 432 376 644 506 109 36- - 56% 62% - 58% 58% 58% 58% 50% 56% 62% 67% 52% 58% 61% 59% 59% 56% 56% 61% 61% 64%

CfG Jk JK N


- - 1163 1203 - 1110 1122 548 574 251 271 312 288 312 201 533 345 431 346 634 466 115 36- - 57% 60% - 55% 55% 55% 55% 42% 54% 62% 68% 51% 61% 55% 55% 59% 52% 55% 56% 64% 63%

FG J JK JK N S


- - 683 856 - 856 817 429 388 210 202 204 201 213 147 423 235 331 251 469 332 79 23- - 34% 42% - 43% 40% 43% 37% 35% 40% 41% 47% 35% 44% 44% 38% 45% 37% 41% 40% 44% 40%

C C C I Jkl N N QS

Technology

- - 505 613 - 556 616 299 317 193 150 135 138 175 108 302 167 240 209 329 273 55 13- - 25% 30% - 28% 30% 30% 30% 32% 30% 27% 33% 29% 32% 31% 27% 33% 31% 29% 33% 30% 22%

C C q

Retail - grocery

- - 497 573 - 584 581 281 300 186 159 126 110 162 96 293 153 252 176 338 231 64 11- - 25% 28% - 29% 29% 28% 29% 31% 32% 25% 26% 27% 29% 30% 25% 34% 26% 30% 28% 35% 20%

C C C l l QS w

Financial services

- - 488 647 - 628 547 256 291 126 144 145 132 147 93 273 157 214 176 302 233 35 13- - 24% 32% - 31% 27% 26% 28% 21% 29% 29% 31% 24% 28% 28% 25% 29% 26% 26% 28% 19% 22%

CG CG c J J J

Manufacturing

- - 420 541 - 492 530 269 260 164 144 116 106 159 86 258 131 216 182 284 232 48 10- - 21% 27% - 24% 26% 27% 25% 28% 29% 23% 25% 26% 26% 27% 21% 29% 27% 25% 28% 27% 17%

C C C l Q Q

Food & Beverage

- - 433 559 - 453 497 249 247 173 139 96 89 147 80 249 153 184 160 263 218 51 6- - 21% 28% - 23% 24% 25% 24% 29% 28% 19% 21% 24% 24% 26% 25% 25% 24% 23% 26% 28% 11%

CFg c LM Lm W

Media

- - 358 451 - 437 465 229 236 153 119 106 87 145 64 225 121 198 146 231 217 37 6- - 18% 22% - 22% 23% 23% 23% 26% 24% 21% 21% 24% 19% 23% 19% 27% 22% 20% 26% 21% 10%

C C C Qs T

Restaurants

- - 312 400 - 402 448 219 229 147 119 89 94 126 71 228 126 179 143 234 200 45 10- - 15% 20% - 20% 22% 22% 22% 25% 24% 18% 22% 21% 21% 24% 20% 24% 21% 20% 24% 25% 18%

C C C L l

Non-profits

- - 361 488 - 405 426 220 206 149 111 88 78 123 71 211 129 163 134 229 185 43 10- - 18% 24% - 20% 21% 22% 20% 25% 22% 18% 18% 20% 21% 22% 21% 22% 20% 20% 22% 24% 18%

CFg C Lm


- - 337 430 - 377 409 201 208 149 97 95 68 120 67 203 108 160 141 206 190 41 9- - 17% 21% - 19% 20% 20% 20% 25% 19% 19% 16% 20% 20% 21% 17% 22% 21% 18% 23% 23% 15%

C C kLM q T

Airlines

- - 321 358 - 342 400 205 195 119 100 93 89 119 67 193 114 152 135 221 163 36 6- - 16% 18% - 17% 20% 21% 19% 20% 20% 18% 21% 20% 20% 20% 18% 21% 20% 19% 19% 20% 11%

Cf

Retail

- - 304 328 - 343 384 232 152 135 104 84 61 106 54 205 118 141 125 206 167 38 6- - 15% 16% - 17% 19% 24% 15% 23% 21% 17% 14% 17% 16% 21% 19% 19% 19% 18% 20% 21% 11%

Cd I LM M

Small Businesses

- - 232 295 - 333 358 194 164 141 96 70 52 121 56 168 98 136 124 179 167 34 8- - 11% 15% - 17% 18% 20% 16% 24% 19% 14% 12% 20% 17% 17% 16% 18% 19% 16% 20% 19% 14%

C C CD i LM lM T

Entertainment

- - 234 314 - 313 311 176 136 105 88 69 48 88 49 162 83 122 106 172 132 25 6- - 12% 16% - 16% 15% 18% 13% 18% 17% 14% 11% 14% 15% 17% 13% 17% 16% 15% 16% 14% 11%

C C C I M M

Automotive



20 Apr 2020Table 228Q43 Which of the following industries do you think should provide solutions during the Covid-19 outbreak? Please select all

that apply.





-** -** 2023 2016 -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base- - 196 232 - 244 269 147 122 96 77 55 41 86 41 130 65 110 93 144 115 22 3- - 10% 12% - 12% 13% 15% 12% 16% 15% 11% 10% 14% 12% 13% 10% 15% 14% 13% 14% 12% 6%

c C i LM lM Q

Real estate

- - 251 276 - 299 264 138 125 96 67 57 44 81 41 132 62 112 89 137 120 24 5- - 12% 14% - 15% 13% 14% 12% 16% 13% 11% 10% 13% 12% 14% 10% 15% 13% 12% 14% 14% 9%

c lM Q

Oil

- - 28 36 - 19 22 10 12 4 2 13 3 4 4 12 3 5 14 15 6 1 -- - 1% 2% - 1% 1% 1% 1% 1% * 2% 1% 1% 1% 1% 1% 1% 2% 1% 1% 1% -

f JKm Qr

Other

- - 368 328 - 315 342 105 238 87 68 96 90 120 58 131 105 110 127 189 146 13 11- - 18% 16% - 16% 17% 11% 23% 15% 14% 19% 21% 20% 17% 14% 17% 15% 19% 17% 17% 7% 20%

f H jK JK P V

N/A - I don’t believe anyof these industries are mostresponsible

- - 8631 10173 - 9673 9983 4979 5004 2980 2538 2362 2102 2871 1644 4918 2840 3888 3254 5429 4299 916 229- - 427% 505% - 481% 492% 504% 480% 499% 503% 470% 495% 471% 495% 510% 456% 528% 486% 474% 515% 508% 402%

Sigma



20 Apr 2020Table 229Q44 Which of the following industries do you think are best positioned to support everyday Americans during the Covid-19

outbreak? Please select all that apply.





- - 2023 - - 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** 2023 -** -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - 1061 - - 1077 1064 487 577 240 250 280 294 291 176 528 336 387 340 602 445 91 35- - 52% - - 54% 52% 49% 55% 40% 50% 56% 69% 48% 53% 55% 54% 53% 51% 53% 53% 50% 61%

H J Jk JKL N


- - 919 - - 944 915 440 475 203 215 243 254 249 155 457 298 335 281 527 377 76 32- - 45% - - 47% 45% 45% 46% 34% 43% 48% 60% 41% 47% 47% 48% 46% 42% 46% 45% 42% 56%

J J JKL N s


- - 814 - - 878 854 384 469 206 190 234 224 251 135 415 270 306 278 479 360 57 29- - 40% - - 44% 42% 39% 45% 34% 38% 47% 53% 41% 41% 43% 43% 42% 41% 42% 43% 32% 52%

c H JK JK V

Retail - grocery

- - 588 - - 654 658 334 324 195 169 156 138 192 102 329 209 236 213 370 274 59 21- - 29% - - 33% 32% 34% 31% 33% 33% 31% 32% 31% 31% 34% 34% 32% 32% 32% 33% 33% 38%

c c

Food & Beverage

- - 517 - - 700 651 338 313 160 162 181 148 178 98 344 216 237 198 389 249 41 14- - 26% - - 35% 32% 34% 30% 27% 32% 36% 35% 29% 30% 36% 35% 32% 30% 34% 30% 23% 24%

C C i J J No

Technology

- - 481 - - 636 603 268 334 174 164 137 127 168 93 314 179 227 197 357 237 64 14- - 24% - - 32% 30% 27% 32% 29% 33% 27% 30% 28% 28% 33% 29% 31% 29% 31% 28% 35% 24%

C C H n

Financial services

- - 376 - - 496 504 243 260 120 138 135 111 129 83 270 168 173 163 314 185 40 11- - 19% - - 25% 25% 25% 25% 20% 27% 27% 26% 21% 25% 28% 27% 24% 24% 27% 22% 22% 20%

C C J J j N U

Manufacturing

- - 406 - - 488 478 245 233 132 120 118 109 133 73 245 160 179 140 274 192 38 13- - 20% - - 24% 24% 25% 22% 22% 24% 23% 26% 22% 22% 25% 26% 24% 21% 24% 23% 21% 24%

C C s

Restaurants

- - 326 - - 410 467 225 241 114 114 116 123 152 69 227 146 170 150 255 202 38 14- - 16% - - 20% 23% 23% 23% 19% 23% 23% 29% 25% 21% 24% 23% 23% 22% 22% 24% 21% 25%

C C Jkl

Non-profits

- - 385 - - 454 464 221 243 144 130 81 109 130 77 228 117 210 136 278 175 61 9- - 19% - - 23% 23% 22% 23% 24% 26% 16% 26% 21% 23% 24% 19% 29% 20% 24% 21% 34% 15%

C C L L L QS W

Media

- - 293 - - 358 400 196 204 114 113 89 84 128 54 197 134 143 122 232 153 38 7- - 15% - - 18% 20% 20% 20% 19% 22% 18% 20% 21% 16% 20% 22% 19% 18% 20% 18% 21% 13%

C C

Retail

- - 333 - - 317 370 215 156 104 109 88 70 109 47 198 118 145 106 202 162 27 15- - 16% - - 16% 18% 22% 15% 17% 22% 17% 16% 18% 14% 21% 19% 20% 16% 18% 19% 15% 27%

f I O

Small Businesses

- - 223 - - 352 367 189 177 130 118 71 48 111 68 178 99 156 111 216 144 34 9- - 11% - - 17% 18% 19% 17% 22% 23% 14% 11% 18% 21% 18% 16% 21% 17% 19% 17% 19% 15%

C C LM LM Qs

Entertainment

- - 197 - - 256 289 159 131 117 81 58 33 93 38 150 102 104 84 170 115 31 9- - 10% - - 13% 14% 16% 13% 20% 16% 12% 8% 15% 11% 16% 16% 14% 12% 15% 14% 17% 16%

C C i LM lM s


- - 260 - - 282 276 153 123 92 80 61 43 90 47 131 93 91 92 170 100 33 5- - 13% - - 14% 14% 15% 12% 15% 16% 12% 10% 15% 14% 14% 15% 12% 14% 15% 12% 18% 9%

i m M

Oil

- - 200 - - 269 263 145 118 94 71 53 46 86 46 121 97 90 75 141 115 30 8- - 10% - - 13% 13% 15% 11% 16% 14% 11% 11% 14% 14% 12% 16% 12% 11% 12% 14% 17% 14%

C C i Lm s

Automotive



20 Apr 2020Table 229Q44 Which of the following industries do you think are best positioned to support everyday Americans during the Covid-19

outbreak? Please select all that apply.





-** -** 2023 -** -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base- - 155 - - 213 256 148 108 87 89 47 33 72 38 137 92 93 72 145 103 25 2- - 8% - - 11% 13% 15% 10% 15% 18% 9% 8% 12% 11% 14% 15% 13% 11% 13% 12% 14% 4%

C C I LM LM s

Airlines

- - 162 - - 197 213 124 88 77 64 48 24 69 29 108 66 82 65 134 72 23 4- - 8% - - 10% 10% 13% 8% 13% 13% 9% 6% 11% 9% 11% 11% 11% 10% 12% 9% 13% 8%

C I M M m u

Real estate

- - 16 - - 8 11 5 6 2 1 6 3 3 1 6 3 3 6 7 4 - -- - 1% - - * 1% 1% 1% * * 1% 1% * * 1% * * 1% 1% * - -

Other

- - 359 - - 277 321 108 212 85 60 102 74 120 58 106 95 112 114 160 149 20 8- - 18% - - 14% 16% 11% 20% 14% 12% 20% 17% 20% 17% 11% 15% 15% 17% 14% 18% 11% 13%

F H JK k P P t

N/A - I don’t believe anyof these industries are bestpositioned

- - 8072 - - 9266 9421 4626 4795 2588 2435 2304 2094 2753 1488 4691 2998 3480 2943 5423 3812 826 260- - 399% - - 460% 464% 469% 460% 433% 483% 459% 493% 452% 448% 486% 481% 473% 439% 474% 456% 458% 456%

Sigma



20 Apr 2020Table 230LI04 Did you get a flu vaccine during the 2019-2020 flu season?






- - - - - - 1083 549 535 266 260 244 314 280 162 578 340 400 344 648 416 107 36- - - - - - 53% 56% 51% 44% 52% 49% 74% 46% 49% 60% 54% 54% 51% 57% 50% 59% 63%

j JKL NO U

Yes

- - - - - - 879 408 471 289 230 252 109 303 163 363 275 317 288 465 394 67 21- - - - - - 43% 41% 45% 48% 46% 50% 26% 50% 49% 38% 44% 43% 43% 41% 47% 37% 37%

M M M P P T

No

- - - - - - 66 30 36 43 14 7 2 26 7 24 9 19 38 31 25 7 -- - - - - - 3% 3% 3% 7% 3% 1% * 4% 2% 2% 1% 3% 6% 3% 3% 4% -

KLM M p QR

Not sure

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 231LI05 Are you going to get a flu vaccine for the 2020-2021 flu season?






- - - - - - 1150 588 563 290 276 266 318 286 177 627 362 449 340 685 453 111 36- - - - - - 57% 60% 54% 49% 55% 53% 75% 47% 53% 65% 58% 61% 51% 60% 54% 61% 64%

I j JKL NO S S U

Yes

- - - - - - 652 295 358 214 175 183 81 252 124 235 214 207 231 353 278 51 14- - - - - - 32% 30% 34% 36% 35% 36% 19% 41% 37% 24% 34% 28% 34% 31% 33% 28% 25%

h M M M P P R R

No

- - - - - - 227 105 121 94 54 54 25 71 31 103 47 80 100 106 104 19 6- - - - - - 11% 11% 12% 16% 11% 11% 6% 12% 9% 11% 8% 11% 15% 9% 13% 10% 11%

KLM M M q Qr t

Not sure

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 232LI05X How likely are you to get a COVID-19 vaccine as soon as it becomes available?






- - - - - - 1475 724 752 377 366 369 364 381 252 756 434 577 464 844 600 131 49- - - - - - 73% 73% 72% 63% 73% 73% 86% 63% 76% 78% 70% 78% 69% 74% 72% 72% 86%

J J JKL N N QS


- - - - - - 889 458 431 205 217 216 252 201 157 491 279 368 242 524 351 83 38- - - - - - 44% 46% 41% 34% 43% 43% 59% 33% 47% 51% 45% 50% 36% 46% 42% 46% 67%

i J J JKL N N S S V

Very likely

- - - - - - 586 265 321 171 149 153 113 180 95 264 155 209 222 320 249 47 11- - - - - - 29% 27% 31% 29% 30% 30% 27% 30% 29% 27% 25% 28% 33% 28% 30% 26% 19%

Q

Somewhat likely

- - - - - - 554 263 290 221 139 134 60 228 80 209 189 159 206 300 235 50 8- - - - - - 27% 27% 28% 37% 27% 27% 14% 37% 24% 22% 30% 22% 31% 26% 28% 28% 14%

KLM M M OP R R


- - - - - - 315 168 147 135 82 67 31 115 55 127 106 95 114 169 140 35 1- - - - - - 16% 17% 14% 23% 16% 13% 7% 19% 17% 13% 17% 13% 17% 15% 17% 19% 2%

KLM M M P r r W

Not very likely

- - - - - - 238 96 143 86 57 67 29 113 25 83 83 63 92 132 96 15 7- - - - - - 12% 10% 14% 14% 11% 13% 7% 18% 7% 9% 13% 9% 14% 12% 11% 8% 13%

H M m M OP R R

Not at all likely

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 233LI03 How confident are you about things "going back to normal" after the COVID19 crisis is resolved?






- - - - - 1090 1089 615 474 325 299 246 218 318 174 544 382 368 339 628 444 108 24- - - - - 54% 54% 62% 45% 54% 59% 49% 51% 52% 52% 56% 61% 50% 51% 55% 53% 60% 43%

I Lm RS w

Very/Somewhat Confident(Net)

- - - - - 382 385 250 135 108 138 91 48 105 47 220 156 130 99 242 139 46 7- - - - - 19% 19% 25% 13% 18% 27% 18% 11% 17% 14% 23% 25% 18% 15% 21% 17% 26% 13%

I M JLM M NO RS U

Very confident

- - - - - 707 704 365 339 217 161 155 170 213 127 324 226 238 239 386 305 61 17- - - - - 35% 35% 37% 33% 36% 32% 31% 40% 35% 38% 34% 36% 32% 36% 34% 37% 34% 30%

i KL

Somewhat confident

- - - - - 614 587 264 322 184 135 169 99 186 102 270 151 245 190 320 246 49 16- - - - - 30% 29% 27% 31% 31% 27% 34% 23% 30% 31% 28% 24% 33% 28% 28% 29% 27% 27%

h M KM Q

Not At All/Not VeryConfident (Net)

- - - - - 448 418 191 227 135 95 110 78 114 76 210 119 165 134 226 177 31 13- - - - - 22% 21% 19% 22% 23% 19% 22% 18% 19% 23% 22% 19% 22% 20% 20% 21% 17% 24%

Not very confident

- - - - - 166 169 73 95 50 40 58 21 72 26 60 32 80 56 93 69 18 2- - - - - 8% 8% 7% 9% 8% 8% 12% 5% 12% 8% 6% 5% 11% 8% 8% 8% 10% 4%

m kM oP Q q

Not at all confident

- - - - - 310 354 108 246 88 70 88 107 105 56 151 90 123 141 196 146 23 17- - - - - 15% 17% 11% 24% 15% 14% 17% 25% 17% 17% 16% 14% 17% 21% 17% 17% 13% 30%

H JKL Qr V

N/A - Things will never bethe same, there will be anew normal in the future

- - - - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 234Q34 How many months will it take for things to return back to normal (e.g., schools and businesses reopen, no social

distancing, etc.)?






6 7 5 10 13 9 12 3 9 9 - 3 - 8 - * 3 7 2 7 4 - 3* * * 1% 1% * 1% * 1% 1% - 1% - 1% - * * 1% * 1% 1% - 6%

c KM oP V

0

1858 1853 1831 1661 1550 1585 1518 767 751 481 392 352 293 437 230 766 497 523 499 874 610 148 4391% 92% 91% 82% 78% 79% 75% 78% 72% 80% 78% 70% 69% 72% 69% 79% 80% 71% 74% 76% 73% 82% 76%

DEFG DEFG DEFG EFG g G I LM LM NO Rs

1 - 10

131 131 128 298 346 345 377 160 217 74 79 117 107 119 78 151 102 164 111 196 175 24 96% 7% 6% 15% 17% 17% 19% 16% 21% 12% 16% 23% 25% 19% 24% 16% 16% 22% 17% 17% 21% 13% 16%

ABC ABCd ABC ABCD H JK JK p P QS t

11 - 20

32 9 28 26 56 48 77 37 40 19 20 22 15 26 12 34 13 30 35 43 29 9 12% * 1% 1% 3% 2% 4% 4% 4% 3% 4% 4% 4% 4% 4% 3% 2% 4% 5% 4% 3% 5% 1%B B B ABCD BcD ABCDF q Q

21 - 30

6 7 9 1 10 13 26 12 14 6 8 5 8 8 10 7 7 9 10 17 7 * -* * * * 1% 1% 1% 1% 1% 1% 2% 1% 2% 1% 3% 1% 1% 1% 1% 1% 1% * -

d D D ABCDEf nP

31 - 40

9 1 10 8 8 3 1 - 1 - - 1 - 1 - - - 1 - 1 - - -* * * * * * * - * - - * - * - - - * - * - - -

bG BG bG bG

41 - 50

1 2 2 3 2 1 7 5 2 2 2 2 1 2 1 5 1 1 5 4 3 - 1* * * * * * * 1% * * * * * * * * * * 1% * * - 2%

f

51 - 60

1 1 - - - - - - - - - - - - - - - - - - - - -* * - - - - - - - - - - - - - - - - - - - - -

61 - 70

5 - - - 3 4 * - * * - - - - * - - - * * - - -* - - - * * * - * * - - - - * - - - * * - - -

bcd

71 - 80

- 3 - 1 1 1 7 2 5 5 2 - - 4 - 2 - - 7 1 5 - -- * - * * * * * * 1% * - - 1% - * - - 1% * 1% - -

ACdf l QR

81 - 90

- 5 10 9 2 5 4 - 4 2 2 1 - 4 - - 1 4 - 2 2 - -- * 1% * * * * - * * * * - 1% - - * * - * * - -

a Ae Ae a P

91+

4.6 4.7 5.3 6.6 7.4 7.1 8.1 7.5 8.7 7.7 7.9 8.3 8.6 8.8 8.8 7.4 6.8 8.4 8.9 7.8 8.3 6.4 7.4Ab ABC ABCD ABC ABCDEF H P P Q Q

Mean (Incl. 0)

6.60 7.30 8.79 8.43 7.59 7.92 9.31 7.94 10.42 11.23 10.13 7.73 6.64 12.35 7.78 7.47 6.33 8.97 11.62 8.35 10.24 5.38 8.24Std. Dev. (Incl. 0)0.15 0.16 0.20 0.19 0.17 0.18 0.21 0.25 0.32 0.46 0.45 0.34 0.33 0.47 0.40 0.26 0.25 0.33 0.46 0.25 0.35 0.41 1.19Std. Err. (Incl. 0)

3 3 3 5 6 6 6 6 6 5 6 6 6 6 6 6 6 6 6 6 6 5 6Median (Incl. 0)4.6 4.7 5.3 6.6 7.4 7.1 8.1 7.5 8.7 7.8 7.9 8.4 8.6 9.0 8.8 7.4 6.9 8.5 8.9 7.9 8.3 6.4 7.9

Ab ABC ABCD ABC ABCDEF H P P Q QMean (Excl. 0)

6.60 7.31 8.80 8.44 7.59 7.92 9.32 7.95 10.43 11.28 10.13 7.72 6.64 12.40 7.78 7.47 6.32 8.98 11.63 8.35 10.25 5.38 8.27Std. Dev. (Excl. 0)0.15 0.16 0.20 0.19 0.17 0.18 0.21 0.25 0.32 0.46 0.45 0.34 0.33 0.47 0.40 0.26 0.25 0.34 0.46 0.25 0.35 0.41 1.22Std. Err. (Excl. 0)

3 3 3 5 6 6 6 6 6 5 6 6 6 6 6 6 6 6 6 6 6 5 6Median (Excl. 0)2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57

100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%Sigma



20 Apr 2020Table 234Q34 How many months will it take for things to return back to normal (e.g., schools and businesses reopen, no social

distancing, etc.)?





2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base__________________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G - H/I - J/K/L/M - N/O/P - Q/R/S - T/U - V/WOverlap formulae used. * small base


20 Apr 2020Table 235Q36 How likely do you think it is that coronavirus (COVID-19) will cause a global recession?






1578 1629 1730 - - 1731 1683 825 858 459 437 420 367 488 288 824 497 649 537 975 678 155 4977% 81% 86% - - 86% 83% 84% 82% 77% 87% 84% 86% 80% 87% 85% 80% 88% 80% 85% 81% 86% 87%

A ABg ABG A J J J N N QS U

Somewhat/Very Likely(Net)

780 869 1046 - - 1042 935 477 458 209 268 269 189 240 162 481 241 396 297 546 372 81 2338% 43% 52% - - 52% 46% 48% 44% 35% 53% 53% 45% 39% 49% 50% 39% 54% 44% 48% 45% 45% 40%

A ABG ABG A JM JM J N N QS q

Very likely

798 760 684 - - 689 748 348 400 250 169 152 177 247 126 343 255 253 240 429 306 74 2739% 38% 34% - - 34% 37% 35% 38% 42% 34% 30% 42% 41% 38% 36% 41% 34% 36% 37% 37% 41% 47%CF Cf KL KL p R

Somewhat likely

324 267 164 - - 163 196 113 83 74 50 46 27 67 23 95 82 44 70 101 85 13 316% 13% 8% - - 8% 10% 11% 8% 12% 10% 9% 6% 11% 7% 10% 13% 6% 10% 9% 10% 7% 6%

bCFG CFG I M o R R

Not At All/Not VeryLikely (Net)

255 210 122 - - 120 166 99 67 65 39 35 27 57 20 79 67 39 60 81 76 10 312% 10% 6% - - 6% 8% 10% 6% 11% 8% 7% 6% 9% 6% 8% 11% 5% 9% 7% 9% 6% 6%

CFG CFg CF I lM R R

Not very likely

69 57 42 - - 43 31 14 16 9 11 10 1 10 3 16 15 5 11 20 9 3 -3% 3% 2% - - 2% 2% 1% 2% 2% 2% 2% * 2% 1% 2% 2% 1% 2% 2% 1% 2% -

cfG G m M M R

Not at all likely

148 123 129 - - 118 150 49 100 65 17 37 31 55 21 46 44 42 63 68 72 12 47% 6% 6% - - 6% 7% 5% 10% 11% 3% 7% 7% 9% 6% 5% 7% 6% 9% 6% 9% 7% 7%

H Kl K K P R t

I’m not sure

2050 2019 2023 - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 236Q36A Would you say we are in a global recession due to the coronavirus outbreak?






- - - 1689 1793 1558 1522 778 744 445 388 383 306 445 253 740 429 612 481 871 622 154 38- - - 84% 90% 77% 75% 79% 71% 74% 77% 76% 72% 73% 76% 77% 69% 83% 72% 76% 75% 85% 67%

FG DFG I QS W

Yes

- - - 327 200 455 507 210 297 153 116 119 119 164 79 225 194 123 189 273 213 27 19- - - 16% 10% 23% 25% 21% 29% 26% 23% 24% 28% 27% 24% 23% 31% 17% 28% 24% 25% 15% 33%

E DE DE H R R V

No

- - - 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 237Q37 How many months do you believe it will take for financial markets to recover once the outbreak is under control?






11 14 6 12 1 10 10 2 8 7 - 1 2 8 - * 4 3 2 7 2 - 11% 1% * 1% * 1% * * 1% 1% - * * 1% - * 1% * * 1% * - 2%E E E E E Kl oP

0

1448 1338 1258 1204 1100 1161 1145 621 524 395 276 259 214 323 187 570 403 380 362 653 466 116 3371% 66% 62% 60% 55% 58% 56% 63% 50% 66% 55% 52% 51% 53% 56% 59% 65% 52% 54% 57% 56% 64% 58%

BCDEFG CDEFG EFG Eg I KLM n RS

1 - 10

398 473 463 557 598 576 556 219 337 138 147 142 129 176 88 262 145 218 193 321 220 42 1319% 23% 23% 28% 30% 29% 27% 22% 32% 23% 29% 28% 30% 29% 26% 27% 23% 30% 29% 28% 26% 23% 23%

A A ABC ABC ABC ABC H j J Q q

11 - 20

103 119 163 158 194 167 213 102 111 38 50 60 65 64 35 92 55 93 65 101 107 15 65% 6% 8% 8% 10% 8% 10% 10% 11% 6% 10% 12% 15% 11% 11% 10% 9% 13% 10% 9% 13% 8% 11%

AB Ab AB AB ABCDf j J JK q T

21 - 30

45 34 58 45 62 48 57 21 36 10 15 23 10 19 18 19 9 25 23 33 25 5 12% 2% 3% 2% 3% 2% 3% 2% 3% 2% 3% 4% 2% 3% 5% 2% 1% 3% 3% 3% 3% 3% 1%

b B b J P q q

31 - 40

22 12 39 10 17 14 22 6 16 3 6 10 2 6 2 11 2 11 9 15 7 2 21% 1% 2% * 1% 1% 1% 1% 2% 1% 1% 2% 1% 1% 1% 1% * 2% 1% 1% 1% 1% 4%

aBDEFg d j Q q

41 - 50

8 7 17 11 8 18 17 14 3 2 8 5 1 7 1 9 4 2 11 8 7 - 1* * 1% 1% * 1% 1% 1% * * 2% 1% * 1% * 1% 1% * 2% 1% 1% - 2%

b b b I j R

51 - 60

6 2 2 - * 1 - - - - - - - - - - - - - - - - -* * * - * * - - - - - - - - - - - - - - - - -

dg

61 - 70

4 8 5 2 6 6 2 1 1 1 - 1 - - * 2 - 1 1 2 - - -* * * * * * * * * * - * - - * * - * * * - - -

71 - 80

4 6 - 3 2 6 1 * 1 - - * 1 * 1 - - - 1 1 * - -* * - * * * * * * - - * * * * - - - * * * - -

c c

81 - 90

4 7 13 15 5 6 6 1 6 2 2 2 - 5 - 1 1 2 3 4 1 - -* * 1% 1% * * * * 1% * * * - 1% - * * * 1% * * - -

a Ae P

91+

8.8 9.5 11.1 10.6 11.4 11.1 11.3 10.5 12.0 9.2 11.8 12.9 11.7 11.7 11.6 10.8 9.6 12.0 12.1 11.1 11.4 10.0 11.1AB AB ABd AB AB H J J J Q Q

Mean (Incl. 0)

10.95 11.36 13.05 12.03 10.93 11.86 11.18 10.50 11.75 9.91 12.28 12.62 9.12 13.03 10.19 10.09 9.33 10.79 12.89 11.37 10.51 8.75 12.14Std. Dev. (Incl. 0)0.24 0.25 0.29 0.27 0.24 0.26 0.25 0.34 0.36 0.40 0.55 0.55 0.46 0.49 0.53 0.35 0.36 0.40 0.51 0.34 0.36 0.67 1.75Std. Err. (Incl. 0)

6 6 6 6 8 8 8 6 10 6 8 10 10 8 8 8 6 9 8 8 8 6 6Median (Incl. 0)8.9 9.6 11.1 10.7 11.4 11.2 11.3 10.5 12.1 9.3 11.8 12.9 11.7 11.9 11.6 10.8 9.6 12.1 12.1 11.2 11.4 10.0 11.4

AB AB AB AB AB H J J J Q QMean (Excl. 0)

10.96 11.37 13.05 12.04 10.93 11.86 11.18 10.50 11.75 9.91 12.28 12.62 9.11 13.04 10.19 10.09 9.33 10.78 12.89 11.37 10.51 8.75 12.16Std. Dev. (Excl. 0)0.24 0.25 0.29 0.27 0.24 0.27 0.25 0.34 0.36 0.41 0.55 0.55 0.46 0.50 0.53 0.35 0.36 0.40 0.51 0.34 0.36 0.67 1.77Std. Err. (Excl. 0)

6 6 6 7 8 8 8 6 10 6 8 10 10 8 8 8 6 9 8 8 8 6 6Median (Excl. 0)2050 2019 2023 2016 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57

100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%Sigma



20 Apr 2020Table 238Q37A. As of this week over 30,000 Americans have died from the coronavirus with over 150,000 deaths worldwide. How many lives

do you think will be lost in America due to the coronavirus?






- - - - - - 280 127 153 77 79 62 62 116 38 96 114 74 91 147 123 24 10- - - - - - 14% 13% 15% 13% 16% 12% 15% 19% 11% 10% 18% 10% 14% 13% 15% 13% 18%

OP Rs r

Between 30,000 and40,000 deaths

- - - - - - 360 177 183 87 69 100 104 127 56 156 140 102 118 214 135 33 11- - - - - - 18% 18% 18% 15% 14% 20% 24% 21% 17% 16% 22% 14% 18% 19% 16% 18% 20%

jK JK p Rs


- - - - - - 716 351 365 185 173 197 161 193 128 353 193 289 234 424 282 61 15- - - - - - 35% 36% 35% 31% 34% 39% 38% 32% 38% 37% 31% 39% 35% 37% 34% 34% 26%

J j n n Q


- - - - - - 402 213 189 134 115 88 65 91 58 240 105 155 143 230 161 41 15- - - - - - 20% 22% 18% 22% 23% 18% 15% 15% 17% 25% 17% 21% 21% 20% 19% 23% 26%

lM lM NO q


- - - - - - 135 62 73 53 29 29 24 32 27 70 38 55 43 70 63 8 2- - - - - - 7% 6% 7% 9% 6% 6% 6% 5% 8% 7% 6% 7% 6% 6% 8% 4% 4%


- - - - - - 136 58 78 62 39 27 9 50 24 50 34 61 41 59 70 14 3- - - - - - 7% 6% 8% 10% 8% 5% 2% 8% 7% 5% 5% 8% 6% 5% 8% 8% 6%

LM M M P q T

Over 500,000 deaths

- - - - - - 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 239LI01 Which do you think will have a bigger effect on the life of you and your family?






- - - - 765 696 776 395 382 258 199 163 156 228 119 382 217 319 240 442 320 84 24- - - - 38% 35% 38% 40% 37% 43% 39% 32% 37% 37% 36% 40% 35% 43% 36% 39% 38% 46% 43%

F f L L QS

Coronavirus/COVID-19itself

- - - - 1228 1317 1253 593 660 339 306 340 268 381 213 583 406 417 430 703 516 97 33- - - - 62% 65% 62% 60% 63% 57% 61% 68% 63% 63% 64% 60% 65% 57% 64% 61% 62% 54% 57%

Eg JK R R

The economic impacts ofthe coronavirus pandemic

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 240LI02 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will be

very different, somewhat different or mostly the same?

Summary Of Mostly The Same






- - - - 1147 1182 1159 545 614 269 279 309 301 356 199 524 366 390 403 645 498 97 38- - - - 58% 59% 57% 55% 59% 45% 55% 62% 71% 58% 60% 54% 59% 53% 60% 56% 60% 54% 66%

J Jk JKL r R

Family life

- - - - 1086 1053 1095 501 594 274 241 296 283 332 185 506 342 379 374 597 480 102 40- - - - 54% 52% 54% 51% 57% 46% 48% 59% 67% 54% 56% 52% 55% 51% 56% 52% 58% 57% 70%

H JK JKL t

Eating habits

- - - - 935 999 1016 444 573 252 247 282 235 314 163 465 332 331 354 584 410 74 33- - - - 47% 50% 50% 45% 55% 42% 49% 56% 55% 51% 49% 48% 53% 45% 53% 51% 49% 41% 57%

H j Jk J R R v

Personal hygiene

- - - - 1031 1027 944 445 500 201 201 257 285 282 163 430 328 298 319 546 383 62 23- - - - 52% 51% 47% 45% 48% 34% 40% 51% 67% 46% 49% 45% 53% 40% 48% 48% 46% 35% 40%

G G j JK JKL R R

Work life

- - - - 823 748 802 405 397 220 187 210 185 256 130 352 250 246 307 450 337 63 22- - - - 41% 37% 40% 41% 38% 37% 37% 42% 44% 42% 39% 36% 40% 33% 46% 39% 40% 35% 39%

F j p R qR

Shopping habits

- - - - 742 680 718 344 374 193 155 192 178 219 117 330 255 200 263 400 303 50 22- - - - 37% 34% 35% 35% 36% 32% 31% 38% 42% 36% 35% 34% 41% 27% 39% 35% 36% 28% 38%

f jK JK R R

Social activity

- - - - 684 622 692 336 356 187 164 182 159 213 106 317 243 203 245 388 295 51 23- - - - 34% 31% 34% 34% 34% 31% 32% 36% 37% 35% 32% 33% 39% 28% 37% 34% 35% 28% 41%

f f R R

Travel/vacation





Summary Of Somewhat Different






- - - - 723 817 815 397 418 218 199 204 194 227 143 395 235 321 259 467 329 68 20- - - - 36% 41% 40% 40% 40% 37% 39% 41% 46% 37% 43% 41% 38% 44% 39% 41% 39% 38% 35%

E E J q

Social activity

- - - - 717 775 797 377 419 228 191 208 170 228 145 385 261 289 247 437 339 71 22- - - - 36% 38% 39% 38% 40% 38% 38% 41% 40% 37% 44% 40% 42% 39% 37% 38% 41% 40% 39%

e

Shopping habits

- - - - 680 721 707 344 363 197 175 177 158 190 141 339 207 264 235 395 296 68 13- - - - 34% 36% 35% 35% 35% 33% 35% 35% 37% 31% 42% 35% 33% 36% 35% 35% 35% 38% 22%

NP w

Travel/vacation

- - - - 557 548 643 332 311 212 189 152 90 176 117 315 183 253 207 341 284 66 17- - - - 28% 27% 32% 34% 30% 36% 37% 30% 21% 29% 35% 33% 29% 34% 31% 30% 34% 36% 30%

EF M LM M n

Work life

- - - - 584 612 641 330 312 202 170 148 121 193 108 297 201 237 203 359 266 42 7- - - - 29% 30% 32% 33% 30% 34% 34% 30% 29% 32% 33% 31% 32% 32% 30% 31% 32% 23% 13%

Eating habits

- - - - 584 553 588 325 263 191 135 127 135 172 98 283 182 223 183 310 264 54 15- - - - 29% 27% 29% 33% 25% 32% 27% 25% 32% 28% 30% 29% 29% 30% 27% 27% 32% 30% 26%

I L l t

Personal hygiene

- - - - 540 516 557 276 281 189 127 137 104 153 93 275 171 201 184 298 239 48 8- - - - 27% 26% 27% 28% 27% 32% 25% 27% 25% 25% 28% 28% 27% 27% 27% 26% 29% 26% 15%

km

Family life





Summary Of Very Different






- - - - 630 670 631 307 323 213 166 144 107 206 85 309 173 268 189 362 244 62 21- - - - 32% 33% 31% 31% 31% 36% 33% 29% 25% 34% 26% 32% 28% 36% 28% 32% 29% 34% 36%

LM M O o QS

Travel/vacation

- - - - 528 516 496 246 250 187 150 107 52 163 71 240 133 214 148 278 204 62 15- - - - 26% 26% 24% 25% 24% 31% 30% 21% 12% 27% 21% 25% 21% 29% 22% 24% 24% 34% 27%

LM LM M QS

Social activity

- - - - 405 438 441 211 231 185 115 93 49 151 53 220 112 185 144 257 169 52 17- - - - 20% 22% 22% 21% 22% 31% 23% 19% 12% 25% 16% 23% 18% 25% 21% 22% 20% 29% 30%

KLM M M O O Q

Work life

- - - - 453 490 430 205 225 149 127 85 69 125 56 228 113 201 117 257 159 46 13- - - - 23% 24% 21% 21% 22% 25% 25% 17% 16% 21% 17% 24% 18% 27% 17% 22% 19% 25% 22%

g LM LM O QS

Shopping habits

- - - - 474 461 425 219 206 155 122 93 55 124 71 217 110 182 133 250 162 52 10- - - - 24% 23% 21% 22% 20% 26% 24% 18% 13% 20% 21% 22% 18% 25% 20% 22% 19% 29% 17%

g LM lM m Qs

Personal hygiene

- - - - 306 316 313 167 147 139 99 56 19 100 40 167 86 145 83 202 98 36 11- - - - 15% 16% 15% 17% 14% 23% 20% 11% 4% 16% 12% 17% 14% 20% 12% 18% 12% 20% 19%

LM LM M o QS U

Family life

- - - - 323 348 293 156 137 121 94 58 20 84 39 162 81 120 92 188 89 37 10- - - - 16% 17% 14% 16% 13% 20% 19% 12% 5% 14% 12% 17% 13% 16% 14% 16% 11% 20% 17%

G LM LM M o U

Eating habits



20 Apr 2020Table 243LI02_1 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will be


Shopping habits






- - - - 823 748 802 405 397 220 187 210 185 256 130 352 250 246 307 450 337 63 22- - - - 41% 37% 40% 41% 38% 37% 37% 42% 44% 42% 39% 36% 40% 33% 46% 39% 40% 35% 39%

F j p R qR

Mostly the same

- - - - 717 775 797 377 419 228 191 208 170 228 145 385 261 289 247 437 339 71 22- - - - 36% 38% 39% 38% 40% 38% 38% 41% 40% 37% 44% 40% 42% 39% 37% 38% 41% 40% 39%

e

Somewhat different

- - - - 453 490 430 205 225 149 127 85 69 125 56 228 113 201 117 257 159 46 13- - - - 23% 24% 21% 21% 22% 25% 25% 17% 16% 21% 17% 24% 18% 27% 17% 22% 19% 25% 22%

g LM LM O QS

Very different

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Eating habits






- - - - 1086 1053 1095 501 594 274 241 296 283 332 185 506 342 379 374 597 480 102 40- - - - 54% 52% 54% 51% 57% 46% 48% 59% 67% 54% 56% 52% 55% 51% 56% 52% 58% 57% 70%

H JK JKL t

Mostly the same

- - - - 584 612 641 330 312 202 170 148 121 193 108 297 201 237 203 359 266 42 7- - - - 29% 30% 32% 33% 30% 34% 34% 30% 29% 32% 33% 31% 32% 32% 30% 31% 32% 23% 13%

Somewhat different

- - - - 323 348 293 156 137 121 94 58 20 84 39 162 81 120 92 188 89 37 10- - - - 16% 17% 14% 16% 13% 20% 19% 12% 5% 14% 12% 17% 13% 16% 14% 16% 11% 20% 17%

G LM LM M o U

Very different

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Social activity






- - - - 742 680 718 344 374 193 155 192 178 219 117 330 255 200 263 400 303 50 22- - - - 37% 34% 35% 35% 36% 32% 31% 38% 42% 36% 35% 34% 41% 27% 39% 35% 36% 28% 38%

f jK JK R R

Mostly the same

- - - - 723 817 815 397 418 218 199 204 194 227 143 395 235 321 259 467 329 68 20- - - - 36% 41% 40% 40% 40% 37% 39% 41% 46% 37% 43% 41% 38% 44% 39% 41% 39% 38% 35%

E E J q

Somewhat different

- - - - 528 516 496 246 250 187 150 107 52 163 71 240 133 214 148 278 204 62 15- - - - 26% 26% 24% 25% 24% 31% 30% 21% 12% 27% 21% 25% 21% 29% 22% 24% 24% 34% 27%

LM LM M QS

Very different

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Travel/vacation






- - - - 684 622 692 336 356 187 164 182 159 213 106 317 243 203 245 388 295 51 23- - - - 34% 31% 34% 34% 34% 31% 32% 36% 37% 35% 32% 33% 39% 28% 37% 34% 35% 28% 41%

f f R R

Mostly the same

- - - - 680 721 707 344 363 197 175 177 158 190 141 339 207 264 235 395 296 68 13- - - - 34% 36% 35% 35% 35% 33% 35% 35% 37% 31% 42% 35% 33% 36% 35% 35% 35% 38% 22%

NP w

Somewhat different

- - - - 630 670 631 307 323 213 166 144 107 206 85 309 173 268 189 362 244 62 21- - - - 32% 33% 31% 31% 31% 36% 33% 29% 25% 34% 26% 32% 28% 36% 28% 32% 29% 34% 36%

LM M O o QS

Very different

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Work life






- - - - 1031 1027 944 445 500 201 201 257 285 282 163 430 328 298 319 546 383 62 23- - - - 52% 51% 47% 45% 48% 34% 40% 51% 67% 46% 49% 45% 53% 40% 48% 48% 46% 35% 40%

G G j JK JKL R R

Mostly the same

- - - - 557 548 643 332 311 212 189 152 90 176 117 315 183 253 207 341 284 66 17- - - - 28% 27% 32% 34% 30% 36% 37% 30% 21% 29% 35% 33% 29% 34% 31% 30% 34% 36% 30%

EF M LM M n

Somewhat different

- - - - 405 438 441 211 231 185 115 93 49 151 53 220 112 185 144 257 169 52 17- - - - 20% 22% 22% 21% 22% 31% 23% 19% 12% 25% 16% 23% 18% 25% 21% 22% 20% 29% 30%

KLM M M O O Q

Very different

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Family life






- - - - 1147 1182 1159 545 614 269 279 309 301 356 199 524 366 390 403 645 498 97 38- - - - 58% 59% 57% 55% 59% 45% 55% 62% 71% 58% 60% 54% 59% 53% 60% 56% 60% 54% 66%

J Jk JKL r R

Mostly the same

- - - - 540 516 557 276 281 189 127 137 104 153 93 275 171 201 184 298 239 48 8- - - - 27% 26% 27% 28% 27% 32% 25% 27% 25% 25% 28% 28% 27% 27% 27% 26% 29% 26% 15%

km

Somewhat different

- - - - 306 316 313 167 147 139 99 56 19 100 40 167 86 145 83 202 98 36 11- - - - 15% 16% 15% 17% 14% 23% 20% 11% 4% 16% 12% 17% 14% 20% 12% 18% 12% 20% 19%

LM LM M o QS U

Very different

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Personal hygiene






- - - - 935 999 1016 444 573 252 247 282 235 314 163 465 332 331 354 584 410 74 33- - - - 47% 50% 50% 45% 55% 42% 49% 56% 55% 51% 49% 48% 53% 45% 53% 51% 49% 41% 57%

H j Jk J R R v

Mostly the same

- - - - 584 553 588 325 263 191 135 127 135 172 98 283 182 223 183 310 264 54 15- - - - 29% 27% 29% 33% 25% 32% 27% 25% 32% 28% 30% 29% 29% 30% 27% 27% 32% 30% 26%

I L l t

Somewhat different

- - - - 474 461 425 219 206 155 122 93 55 124 71 217 110 182 133 250 162 52 10- - - - 24% 23% 21% 22% 20% 26% 24% 18% 13% 20% 21% 22% 18% 25% 20% 22% 19% 29% 17%

g LM lM m Qs

Very different

- - - - 1993 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



20 Apr 2020Table 250Q33A How many months do you it will take for us to find a vaccine/ cure for the coronavirus?





- - 2023 - - 2013 2029 980 1049 603 506 521 399 696 372 840 665 718 646 1131 855 170 48Unweighted Base-** -** 2023 -** -** 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57*Weighted Base

- - 17 - - 15 16 9 7 10 4 2 * 9 2 3 4 2 9 7 5 1 1- - 1% - - 1% 1% 1% 1% 2% 1% * * 1% 1% * 1% * 1% 1% 1% * 2%

lM P r

0

- - 1249 - - 1124 1069 588 481 418 272 222 157 316 163 528 363 376 331 604 440 103 30- - 62% - - 56% 53% 60% 46% 70% 54% 44% 37% 52% 49% 55% 58% 51% 49% 53% 53% 57% 52%

FG I KLM LM m RS

1-10

- - 561 - - 709 745 325 420 131 167 215 233 205 132 356 214 288 243 414 319 60 21- - 28% - - 35% 37% 33% 40% 22% 33% 43% 55% 34% 40% 37% 34% 39% 36% 36% 38% 33% 37%

C C H J JK JKL

11-20

- - 115 - - 119 138 34 104 25 41 46 27 45 27 60 30 55 53 84 52 15 4- - 6% - - 6% 7% 3% 10% 4% 8% 9% 6% 7% 8% 6% 5% 8% 8% 7% 6% 8% 8%

H J J q q

21-30

- - 32 - - 18 32 12 21 7 6 13 6 21 3 8 3 8 21 13 16 2 -- - 2% - - 1% 2% 1% 2% 1% 1% 2% 1% 3% 1% 1% * 1% 3% 1% 2% 1% -

f OP QR

31-40

- - 24 - - 12 12 10 2 3 7 1 * 7 1 4 4 2 6 8 1 - -- - 1% - - 1% 1% 1% * 1% 1% * * 1% * * 1% * 1% 1% * - -

g i lm

41-50

- - 22 - - 8 11 6 6 2 8 1 1 5 4 2 * 3 8 11 1 - 1- - 1% - - * 1% 1% 1% * 2% * * 1% 1% * * * 1% 1% * - 2%

F jlm p Q U

51-100

- - 3 - - 7 5 4 2 2 - 4 - 1 - 5 5 1 - 4 1 - -- - * - - * * * * * - 1% - * - * 1% * - * * - -

k s

101+

- - 11.0 - - 13.2 11.5 10.8 12.2 10.2 11.4 12.7 12.1 11.6 11.1 11.8 11.3 11.6 11.6 11.6 11.3 9.9 11.1Mean

- - 35.41 - - 55.81 23.84 28.75 17.98 40.64 11.49 12.56 6.91 12.02 8.75 32.76 35.47 20.24 10.15 18.44 30.12 7.19 8.63Std. Dev.- - 0.79 - - 1.24 0.53 0.92 0.56 1.65 0.51 0.55 0.35 0.46 0.45 1.13 1.38 0.76 0.40 0.55 1.03 0.55 1.25Std. Err.- - 6 - - 8 9 8 12 6 9 12 12 9 11 9 8 10 10 9 9 8 10Median- - 2023 - - 2013 2029 987 1042 598 504 502 424 609 332 965 623 736 670 1144 835 180 57- - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma


20 April 2020


TitleTablePage

1 1 Q1 Which of the following are you not willing to do given the current outbreak of Coronavirus (COVID-19)? Please selectall that apply.

3 2 Q8 Would you obey the following mandated restrictions?Summary Of Would Follow Restriction

4 3 Q8 Would you obey the following mandated restrictions?Summary Of Would Not Follow Restriction

5 4 BHV15 Since the coronavirus outbreak are you consuming more or less of the following?Summary Of More

6 5 BHV15 Since the coronavirus outbreak are you consuming more or less of the following?Summary Of Less

7 6 BHV15 Since the coronavirus outbreak are you consuming more or less of the following?Summary Of No Change

8 7 BHV15_1 Since the coronavirus outbreak are you consuming more or less of the following?Fresh food (vegetables, fruit)

9 8 BHV15_2 Since the coronavirus outbreak are you consuming more or less of the following?Fast food

10 9 BHV15_3 Since the coronavirus outbreak are you consuming more or less of the following?Alcohol (beer, wine, spirits)

11 10 BHV15_4 Since the coronavirus outbreak are you consuming more or less of the following?Snack foods (chips, nuts, granola bars)

12 11 BHV15_5 Since the coronavirus outbreak are you consuming more or less of the following?Ready to eat meals (e.g., frozen pizzas)

13 12 BHV15_6 Since the coronavirus outbreak are you consuming more or less of the following?Home cooked meals

14 13 BHV15_7 Since the coronavirus outbreak are you consuming more or less of the following?Coffee and tea

15 14 BHV15_8 Since the coronavirus outbreak are you consuming more or less of the following?Soft drinks

16 15 BHV15_9 Since the coronavirus outbreak are you consuming more or less of the following?Candy and chocolate

17 16 BHV07 Based on what you know and have heard, when do you think Americans should start returning to work and life as normal?18 17 BHV16 Which of the following will make you feel safe to fly in a plane again post COVID-19? Please select all that apply.19 18 BHV17 Which of the following will make you feel safe to return to work again post COVID-19? Please select all that apply.20 19 BHV18 Which of the following will make you feel safe to attend a sporting event or large venue again post COVID-19? Please select all that apply.21 20 BHV19 Which of the following will make you feel safe to go out to eat at a restaurant again post COVID-19? Please select all that apply.22 21 BHV20 When do you think you will take your next vacation?23 22 BHV21 Which of the following do you think sports leagues should do?24 23 BHV22 Which of the following public activities will you do first once the social distancing restrictions end?25 24 BHV23 When the economy returns to normal what are you most likely to do?26 25 BHV24 How likely are you to do each of the following once the pandemic ends?

Summary Of Very/Somewhat Likely27 26 BHV24 How likely are you to do each of the following once the pandemic ends?

Summary Of Not Very/Not At All Likely28 27 BHV24_1 How likely are you to do each of the following once the pandemic ends?

Order groceries online for delivery29 28 BHV24_2 How likely are you to do each of the following once the pandemic ends?

Move out of densely populated areas and toward rural areas30 29 BHV24_3 How likely are you to do each of the following once the pandemic ends?

Continue home-schooling my child(ren)31 30 BHV24_4 How likely are you to do each of the following once the pandemic ends?

Save more and spend less32 31 BHV24_5 How likely are you to do each of the following once the pandemic ends?

Avoid non-essential travel33 32 BHV24_6 How likely are you to do each of the following once the pandemic ends?

Use my car to travel long distance instead of air travel34 33 BHV25 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?

Summary Of Spend More35 34 BHV25 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?

Summary Of Spend Less36 35 BHV25 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?


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37 36 BHV25_1 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?Groceries

38 37 BHV25_2 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?Personal care

39 38 BHV25_3 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?Medical products

40 39 BHV25_4 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?Apparel

41 40 BHV25_5 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?Consumer electronics

42 41 BHV25_6 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?Leisure travel

43 42 BHV25_7 Compared to before COVID-19, how do you anticipate your spending after the pandemic will change, if at all, in each of the following categories?Movies/shows

44 43 HAT01 Do you think hate/discrimination has risen for each of the following groups since the COVID-19 outbreak?Summary Of Yes

45 44 HAT01 Do you think hate/discrimination has risen for each of the following groups since the COVID-19 outbreak?Summary Of No

46 45 HAT01 Do you think hate/discrimination has risen for each of the following groups since the COVID-19 outbreak?Summary Of Not Sure

47 46 HAT01_1 Do you think hate/discrimination has risen for each of the following groups since the COVID-19 outbreak?Religious groups

48 47 HAT01_2 Do you think hate/discrimination has risen for each of the following groups since the COVID-19 outbreak?African Americans

49 48 HAT01_3 Do you think hate/discrimination has risen for each of the following groups since the COVID-19 outbreak?Asian Americans

50 49 HAT01_4 Do you think hate/discrimination has risen for each of the following groups since the COVID-19 outbreak?Hispanics / Latinos

51 50 HAT02 How concerned are you about the hate/discrimination towards Asian Americans related to the coronavirus pandemic in this country?52 51 Q13 How has the coronavirus outbreak impacted your work life? Please select all that apply.53 52 EMP02 How concerned are you that you may lose your job due to the coronavirus outbreak?54 53 EMP04 Have you been working from home since the coronavirus pandemic?55 54 Q9 Do you think your income in 2020 will be lower, higher or about the same as it was in 2019?56 55 EMP08 If you’ve been laid off or furloughed, how long do you think it will take for you to find a new job or be rehired?57 56 EMP05 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Summary Of Yes58 57 EMP05_1 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Missed (or will soon miss) a rent/mortgage payment59 58 EMP05_2 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Missed (or will soon miss) a bill payment60 59 EMP05_3 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Provided financial support for a family member61 60 EMP05_4 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Provided financial support for a friend62 61 EMP05_5 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Sought out new or additional sources of income63 62 EMP05_6 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Lost income partially64 63 EMP05_7 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Lost income entirely65 64 EMP05_8 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Accumulated more debt than normal66 65 EMP05_9 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Stopped or cut back on retirement savings67 66 EMP05_10 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Stopped or cut back on other savings (e.g., college tuition, a major purchase, such as a house or care)68 67 EMP05_11 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Paid for services that I haven’t used (e.g., a dog walker, childcare, a house cleaning service)69 68 EMP05_12 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

I have been impacted financially in some other way70 69 EMP05_13 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

I have not been impacted financially

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71 70 EMP06 If you were forced to rely on your savings due to the current pandemic, for how many months would you be able to live onthe amount that you have saved? If you are not sure, please use your best estimate.

72 71 EMP07 Which of the following should have to happen before Americans can return to work? Please select all that apply.73 72 STI09 Which of the following are you doing with your stimulus check? Please select all that apply.74 73 REV01 Are you planning any major purchases once things return to normal and businesses re-open? Please select all that apply.75 74 REV02 Once things return to normal and businesses reopen, would do any of the following to prepare for something like this in

the future? Please select all that apply.76 75 Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Concerned77 76 Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Not At All/Not Very Concerned78 77 Q15_1 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Your personal health79 78 Q15_2 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The health of your older friends and relatives80 79 Q15_3 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The health of the broader American populace81 80 Q15_4 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The American economy82 81 Q15_5 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Your personal finances83 82 Q16 Do you think you are going to get coronavirus (COVID-19)?84 83 Q17 Which of the following are true for you regarding coronavirus (COVID-19)?85 84 Q18 Which of the following is true for you?86 85 Q19 Do you...?87 86 Q21 Which of the following is closest to your view of people’s reaction to the coronavirus (COVID-19) outbreak?88 87 Q14 How much do you agree or disagree with each of the following?

Summary Of Strongly/Somewhat Agree89 88 Q14 How much do you agree or disagree with each of the following?

Summary Of Strongly/Somewhat Disagree90 89 Q14_1 How much do you agree or disagree with each of the following?

Americans have a responsibility to each other to perform social distancing to limit the spread of COVID-19.91 90 Q14_2 How much do you agree or disagree with each of the following?

Americans have a responsibility to each other to take preventative measures (e.g., self-quarantining, washing hands frequently) to limit the spread of COVID-19.92 91 Q14_3 How much do you agree or disagree with each of the following?

Americans who do not socially distance themselves from others are putting others at risk.93 92 Q14_4 How much do you agree or disagree with each of the following?

Americans who refuse to follow CDC/Local Public Health guidelines are putting others at risk.94 93 Q14_5 How much do you agree or disagree with each of the following?

The most patriotic thing we as Americans can do for our country right now, is to make a national sacrifice to stay home for the welfare of others.95 94 Q15 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirus

outbreak?Summary Of Willing To Do

96 95 Q15 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirusoutbreak?Summary Of Not Willing To Do

97 96 Q15_1 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirusoutbreak?Quarantine indoors

98 97 Q15_2 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirusoutbreak?Stop hoarding items (e.g., toilet paper, cleaning products)

99 98 Q15_3 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirusoutbreak?Be put on a rations program for certain goods

100 99 Q15_4 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirusoutbreak?Stop all travel domestically

101 100 Q15_5 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirusoutbreak?Donate my portion of the stimulus package to a hospital

102 101 FR01 Have you felt any of the following since the stay-home orders have gone into effect?Summary Of Yes

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103 102 FR01_1 Have you felt any of the following since the stay-home orders have gone into effect?Cabin fever- bored and sick of being in my home

104 103 FR01_2 Have you felt any of the following since the stay-home orders have gone into effect?Claustrophobic- unable to escape my home

105 104 FR01_3 Have you felt any of the following since the stay-home orders have gone into effect?Grateful- for the break from work to be at home with my family or by myself

106 105 FR01_4 Have you felt any of the following since the stay-home orders have gone into effect?Appreciative-to be around people I truly care about

107 106 FR01_5 Have you felt any of the following since the stay-home orders have gone into effect?Compassionate- taking the time to check in with the people I care about

108 107 FR01_6 Have you felt any of the following since the stay-home orders have gone into effect?Lonely-feeling isolated from my friends/family

109 108 FR01_7 Have you felt any of the following since the stay-home orders have gone into effect?Overwhelmed- trying to balance work at home and other needs of my family

110 109 FR01_8 Have you felt any of the following since the stay-home orders have gone into effect?Angry- upset that I don’t know when this will end

111 110 FR01_9 Have you felt any of the following since the stay-home orders have gone into effect?Annoyed- by lack of personal space and the inability to get away from my family

112 111 FR02_1 While working from home, are you more likely to...Roll out of bed and start working/Maintain your morning routine (e.g., shower etc)

113 112 FR02_2 While working from home, are you more likely to...Get properly dressed/Wear PJs/sweatpants

114 113 FR02_3 While working from home, are you more likely to...Take a shower daily/Skip a couple of days of showering

115 114 FR02_4 While working from home, are you more likely to...Work more/Work less

116 115 FR02_5 While working from home, are you more likely to...Maintain clear time boundaries (e.g., 9-5)/Work anytime that is needed

117 116 FR03 Are you a parent who is now staying at home with your child(ren)?118 117 FR04 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

Summary Of Yes119 118 FR04_1 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

Giving in to more screen time (e.g., movies, YouTube, Netflix) to preoccupy kids120 119 FR04_2 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

Relying on more treats/snacks to keep my kids happy121 120 FR04_3 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

Frustration with online schooling systems122 121 FR04_4 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

Kids making cameos on video or conference calls123 122 FR04_5 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

’Mommy/Daddy’ time out- walking away from kids to get a break124 123 FR04_6 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

Buying more toys, books or games to preoccupy kids125 124 FR05 How much would you say you miss each of the following during this time of virus-related shutdowns?

Summary Of A Lot/Somewhat126 125 FR05 How much would you say you miss each of the following during this time of virus-related shutdowns?

Summary Of Not At All/Not Very127 126 FR05_1 How much would you say you miss each of the following during this time of virus-related shutdowns?

Traveling on an airplane128 127 FR05_2 How much would you say you miss each of the following during this time of virus-related shutdowns?

Going to a movie theatre129 128 FR05_3 How much would you say you miss each of the following during this time of virus-related shutdowns?

Shopping in stores130 129 FR05_4 How much would you say you miss each of the following during this time of virus-related shutdowns?

Working from the office131 130 FR05_5 How much would you say you miss each of the following during this time of virus-related shutdowns?

Attending events like concerts, theatre and sporting events132 131 FR05_6 How much would you say you miss each of the following during this time of virus-related shutdowns?

Dining out at a restaurant/bar133 132 FR05_7 How much would you say you miss each of the following during this time of virus-related shutdowns?

Watching sports on TV134 133 FR05_8 How much would you say you miss each of the following during this time of virus-related shutdowns?

Gatherings with friends and family

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135 134 FR05_9 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to church

136 135 FR05_10 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to school or university

137 136 FR05_13 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to the gym/work out class

138 137 FR05_14 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to a social gathering,

139 138 FR05_15 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to my local coffee shop

140 139 Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Summary Of Concerned

141 140 Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Summary Of Not At All/Not Very Concerned

142 141 Q22_1 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Surgical masks and gloves

143 142 Q22_2 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Testing kits for COVID-19

144 143 Q22_3 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Hospital beds (room for patients)

145 144 Q22_4 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Hospital ventilators (for assisted breathing)

146 145 Q22_5 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Healthcare workers (doctors, nurses, supporting staff)

147 146 FR10 Which is closer to your view?148 147 Q23 Which of the following sources do you get your information from regarding the coronavirus (COVID-19) outbreak? Please

select all that apply.149 148 Q24 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus

outbreak?Summary Of Trustworthy

151 149 Q24_1 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Social media (e.g., Facebook, Instagram)

152 150 Q24_2 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?National media

153 151 Q24_3 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Local media

154 152 Q24_4 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Medical journals

155 153 Q24_5 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Government PSA’s/website

156 154 Q24_6 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?CDC

157 155 Q24_7 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Friends and family

158 156 Q24_8 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Doctors and nurses

159 157 Q24_9 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?The White House/President

160 158 Q24_10 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?My governor

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161 159 Q24_11 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?My local government

162 160 Q24_12 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Chinese President, Xi Jinping

163 161 Q24_13 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?My employer

164 162 Q24_14 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Local county agencies/health departments

165 163 Q24_15 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?International health organizations (e.g., World Health Organization)

166 164 Q24_16 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Scientists

167 165 MED01 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Summary Of Increased

168 166 MED01 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Summary Of Decreased

169 167 MED01 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Summary Of About The Same

170 168 MED01_1 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?TV (cable or broadcast)

171 169 MED01_2 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Streaming TV (e.g., Netflix, Apple TV)

172 170 MED01_3 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Smartphone/tablet

173 171 MED01_4 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Magazines

174 172 MED01_5 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Books

175 173 MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Summary Of More

176 174 MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Summary Of Less

177 175 MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Summary Of About The Same

178 176 MED02_1 Are you using each of the following more, less, or about the same since the coronavirus outbreak?On-demand food delivery apps (e.g., UberEATS, Doordash)

179 177 MED02_2 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Social media (e.g., Facebook, Instagram, Twitter)

180 178 MED02_3 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Virtual meeting sites (e.g., Zoom, Teams)

181 179 MED02_4 Are you using each of the following more, less, or about the same since the coronavirus outbreak?News apps

182 180 MED02_5 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Podcasts

183 181 MED02_6 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Wellness apps (e.g., Meditation apps, work-outs)

184 182 MED02_7 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Music apps (e.g., Spotify, iTunes)

185 183 MED02_8 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Dating apps

186 184 MED02_9 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Games

187 185 MED02_10 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Streaming services (e.g., Netflix, Hulu)

188 186 MED14 Federal and state governments are working to secure data on the location of millions of Americans to help with theirresponse to the coronavirus pandemic and help understand how the disease is spreading. They are working with privatecompanies that have this data. The data is "anonymized" so that personal details aren’t being shared. Howcomfortable are you with this use of location data in the interest of fighting the pandemic?

189 187 STA01 How would you describe your state’s social distancing restrictions?

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190 188 PRO01 Are you aware of protests urging governors to relax (i.e., ease off of) stay-at-home orders?191 189 PRO02 How much do you agree or disagree with the intentions of the protestors?192 190 PRO03 Which of the following best describes your feelings towards those protesting restrictions on social distancing?193 191 GOV10 Do you approve or disapprove of the federal government’s guidelines to return to normal in phases?194 192 TCH01 Do you approve or disapprove of large technology companies helping to trace coronavirus cases you may have been exposed to?195 193 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do each

of the following?196 194 Q33B_1 Once the government provides information that the spread of the virus is flattening how long will it take you to do each

of the following?Fly on a plane

197 195 Q33B_2 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Go to a gym class

198 196 Q33B_3 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Take a cruise

199 197 Q33B_4 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Go out to dinner

200 198 Q33B_5 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Visit a casino

201 199 Q33B_6 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Stay in a hotel

202 200 Q33B_7 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Go to the office

203 201 Q33B_8 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Go to a sporting event

204 202 Q33B_9 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Go to the movies

205 203 Q33B_10 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Host/attend a large social gathering

206 204 Q33B_11 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Take public transportation (e.g., subway, busses, trains)

207 205 Q33B_12 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Greet people with a handshake

208 206 VOT01 Do you approve or disapprove of conducting vote-by-mail for November’s presidential election?209 207 VOT02 Which of the following are reason(s) why you disapprove of conducting vote-by-mail for November’s presidential election? Please select all that apply.210 208 Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Summary Of More Positive212 209 Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Summary Of More Negative214 210 Q38_1 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Financial services215 211 Q38_2 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Retail216 212 Q38_3 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Technology217 213 Q38_4 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Media218 214 Q38_5 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Automotive219 215 Q38_6 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Healthcare (Doctors/Nurses/Hospital)220 216 Q38_7 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Food & Beverage221 217 Q38_8 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Entertainment

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222 218 Q38_9 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Travel and hospitality (hotels, cruise lines)

223 219 Q38_10 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Airlines

224 220 Q38_11 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Non-profits

225 221 Q38_12 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Real estate

226 222 Q38_13 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Retail - grocery

227 223 Q38_14 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Pharmaceutical/drugs

228 224 Q38_15 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Oil

229 225 Q38_16 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Restaurants

230 226 Q38_17 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Manufacturing

231 227 Q38_18 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Small Businesses

232 228 Q43 Which of the following industries do you think should provide solutions during the Covid-19 outbreak? Please select allthat apply.

234 229 Q44 Which of the following industries do you think are best positioned to support everyday Americans during the Covid-19outbreak? Please select all that apply.

236 230 LI04 Did you get a flu vaccine during the 2019-2020 flu season?237 231 LI05 Are you going to get a flu vaccine for the 2020-2021 flu season?238 232 LI05X How likely are you to get a COVID-19 vaccine as soon as it becomes available?239 233 LI03 How confident are you about things "going back to normal" after the COVID19 crisis is resolved?240 234 Q34 How many months will it take for things to return back to normal (e.g., schools and businesses reopen, no social

distancing, etc.)?242 235 Q36 How likely do you think it is that coronavirus (COVID-19) will cause a global recession?243 236 Q36A Would you say we are in a global recession due to the coronavirus outbreak?244 237 Q37 How many months do you believe it will take for financial markets to recover once the outbreak is under control?245 238 Q37A. As of this week over 30,000 Americans have died from the coronavirus with over 150,000 deaths worldwide. How many lives

do you think will be lost in America due to the coronavirus?246 239 LI01 Which do you think will have a bigger effect on the life of you and your family?247 240 LI02 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will be

very different, somewhat different or mostly the same?Summary Of Mostly The Same

248 241 LI02 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will bevery different, somewhat different or mostly the same?Summary Of Somewhat Different

249 242 LI02 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will bevery different, somewhat different or mostly the same?Summary Of Very Different

250 243 LI02_1 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will bevery different, somewhat different or mostly the same?Shopping habits

251 244 LI02_2 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will bevery different, somewhat different or mostly the same?Eating habits

252 245 LI02_3 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will bevery different, somewhat different or mostly the same?Social activity

253 246 LI02_4 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will bevery different, somewhat different or mostly the same?Travel/vacation

254 247 LI02_5 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will bevery different, somewhat different or mostly the same?Work life

255 248 LI02_6 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will bevery different, somewhat different or mostly the same?Family life

256 249 LI02_7 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will bevery different, somewhat different or mostly the same?Personal hygiene

20 April 2020


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257 250 Q33A How many months do you it will take for us to find a vaccine/ cure for the coronavirus?

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