page 1 female ind/oth - the harris poll...unweighted base - 2019 2023 2016 1993 2013 895 1118 654...

Fielding Period: March 14 - April 13, 2020COVID-19Weighted To The U.S. General Adult Population - Propensity

14 Apr 2020Table 1Q3A. Which of the following best describes your response to coronavirus?

Base: All Respondents

Waves Gender Age Income Political Region Parent

Wave 2 Wave 3 Wave 4 Wave 5 Wave 6 Wave 7(3/14 - (3/17 - (3/21 - (3/28 - (4/3 - (4/11- Less than $50k - North- Mid- Not3/15) 3/18) 3/23) 3/30) 4/5) 4/13) MALE FEMALE 18-34 35-49 50-64 65+ $50k $75k $75k+ GOP DEM IND/OTH east South west West Parent Parent

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

- 2019 2023 2016 1993 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base-** 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

- 1541 1684 1809 1890 1830 874 956 515 431 477 407 566 307 904 604 653 572 326 690 387 426 1055 775- 76% 83% 90% 95% 91% 90% 91% 86% 91% 92% 97% 90% 91% 92% 92% 92% 89% 93% 91% 92% 89% 91% 90%

B BC BCDF BC I I IJK

I have taken steps tomake sure I leave myresidence as little aspossible

- 478 339 207 103 183 93 90 86 45 39 13 61 30 78 54 58 71 26 71 34 53 98 85- 24% 17% 10% 5% 9% 10% 9% 14% 9% 8% 3% 10% 9% 8% 8% 8% 11% 7% 9% 8% 11% 9% 10%

CDEF DEF E E JKL L L

I have been leaving myresidence as I normallywould

- 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- 100% 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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 2Q5 Governors around the country have told residents to stay indoors and ordered non-essential businesses to keep their

workers home. If this was also the case where you live, would you leave your home to go to/do any of the following?

Summary Of Would Go Out For





- - 2023 2016 1993 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base-** -** 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

- - 1728 1744 1744 1689 808 881 512 387 452 338 539 290 808 561 592 536 295 648 357 389 946 743- - 85% 87% 88% 84% 84% 84% 85% 81% 88% 81% 86% 86% 82% 85% 83% 83% 84% 85% 85% 81% 82% 86%

f F JL W

Grocery store

- - 1630 1626 1619 1557 762 795 467 358 421 311 474 269 761 531 543 483 280 614 326 337 890 668- - 81% 81% 81% 77% 79% 76% 78% 75% 82% 74% 76% 80% 77% 81% 76% 75% 79% 81% 77% 70% 77% 78%

F F F JL r V V v

Pharmacy

- - 1338 1299 1323 1329 687 642 418 297 341 273 391 225 659 431 471 428 246 514 266 304 768 561- - 66% 64% 66% 66% 71% 61% 70% 62% 66% 65% 63% 67% 67% 65% 66% 66% 70% 68% 63% 64% 67% 65%

H J

Hospital/doctor’s office

- - 1355 1265 1144 1168 561 607 364 275 301 227 357 211 564 392 406 370 187 466 252 263 681 487- - 67% 63% 57% 58% 58% 58% 61% 58% 58% 54% 57% 63% 57% 60% 57% 57% 53% 61% 60% 55% 59% 57%

DEF EF Sv

Caring for a familymember in anotherhousehold

- - 1288 1220 1106 1107 541 566 310 261 323 214 337 193 547 368 397 343 191 437 242 237 678 430- - 64% 61% 56% 55% 56% 54% 52% 55% 63% 51% 54% 57% 56% 56% 56% 53% 54% 57% 58% 49% 59% 50%

EF EF IJL V v X

Caring for elderly

- - 1220 1165 1077 1037 506 531 309 251 277 199 321 194 494 340 367 329 185 410 235 207 626 411- - 60% 58% 54% 51% 52% 51% 51% 53% 54% 47% 51% 58% 50% 52% 52% 51% 53% 54% 56% 43% 54% 48%

EF eF mo V V V X

Caring for people withdisabilities

- - 1177 1071 1009 1023 500 523 327 286 250 160 303 165 527 343 368 312 197 411 201 215 670 353- - 58% 53% 51% 51% 52% 50% 54% 60% 48% 38% 48% 49% 54% 52% 52% 48% 56% 54% 48% 45% 58% 41%

DEF L KL L m uV uV X

Caring for children

- - 1070 1111 948 1017 494 523 303 228 283 204 283 174 530 364 342 311 180 387 207 243 580 438- - 53% 55% 48% 51% 51% 50% 50% 48% 55% 49% 45% 52% 54% 55% 48% 48% 51% 51% 49% 51% 50% 51%

E EF j m M QR

Restaurants for carry-out

- - 960 986 954 972 484 488 296 235 258 184 304 170 462 331 329 313 190 343 195 243 566 406- - 47% 49% 48% 48% 50% 47% 49% 49% 50% 44% 48% 50% 47% 50% 46% 49% 54% 45% 46% 51% 49% 47%

Tu

Banks

- - 972 1091 944 945 470 475 277 209 256 202 231 168 524 330 342 273 158 352 199 235 563 382- - 48% 54% 47% 47% 49% 45% 46% 44% 50% 48% 37% 50% 53% 50% 48% 42% 45% 46% 47% 49% 49% 44%

CEF M M R r

Daily exercise

- - 393 328 230 234 153 80 128 57 35 14 78 27 120 92 71 72 37 82 44 71 136 97- - 19% 16% 12% 12% 16% 8% 21% 12% 7% 3% 13% 8% 12% 14% 10% 11% 10% 11% 11% 15% 12% 11%

DEF EF H JKL KL l n n q t

Visit friends

- - 360 278 197 207 129 79 105 56 33 13 65 23 112 78 62 68 36 75 38 59 118 89- - 18% 14% 10% 10% 13% 8% 18% 12% 6% 3% 10% 7% 11% 12% 9% 11% 10% 10% 9% 12% 10% 10%

DEF EF H JKL KL l n

Having dinner at a friend’shouse

- - 235 233 146 183 102 81 90 55 32 6 60 21 94 61 71 51 30 73 29 52 117 66- - 12% 12% 7% 9% 11% 8% 15% 12% 6% 1% 10% 6% 10% 9% 10% 8% 9% 10% 7% 11% 10% 8%

EF EF h KL KL L n

Schools

- - 222 227 132 150 104 46 80 40 25 5 36 20 91 61 58 31 27 53 21 49 105 45- - 11% 11% 7% 7% 11% 4% 13% 8% 5% 1% 6% 6% 9% 9% 8% 5% 8% 7% 5% 10% 9% 5%

EF EF H JKL kL L M R r U X

Hosting people for dinner

- - 186 185 133 144 101 43 88 36 16 3 34 18 85 47 56 41 30 56 21 37 90 54- - 9% 9% 7% 7% 10% 4% 15% 8% 3% 1% 5% 5% 9% 7% 8% 6% 9% 7% 5% 8% 8% 6%

Ef Ef H JKL KL l M u

Going to the gym



14 Apr 2020Table 3Q5 Governors around the country have told residents to stay indoors and ordered non-essential businesses to keep their

workers home. If this was also the case where you live, would you leave your home to go to/do any of the following?

Summary Of Would Not Go Out For






- - 1837 1831 1860 1869 866 1003 513 440 500 417 592 319 897 612 655 603 322 705 400 442 1064 806- - 91% 91% 93% 93% 90% 96% 85% 92% 97% 99% 95% 95% 91% 93% 92% 94% 91% 93% 95% 92% 92% 94%

CD cd G I IJ IJk O s

Going to the gym

- - 1801 1789 1861 1863 862 1000 521 436 491 415 590 318 891 597 653 612 325 708 400 430 1049 814- - 89% 89% 93% 93% 89% 96% 87% 92% 95% 99% 94% 94% 91% 91% 92% 95% 92% 93% 95% 90% 91% 95%

CD CD G I Ij IJK O Pq V W

Hosting people for dinner

- - 1788 1783 1847 1830 865 965 511 421 484 414 566 317 888 598 640 593 322 688 393 427 1036 794- - 88% 88% 93% 91% 89% 92% 85% 88% 94% 99% 90% 94% 90% 91% 90% 92% 91% 90% 93% 89% 90% 92%

CD CD g IJ IJK m

Schools

- - 1663 1738 1796 1806 838 967 496 420 483 407 562 314 870 580 649 576 316 686 384 420 1035 770- - 82% 86% 90% 90% 87% 92% 82% 88% 94% 97% 90% 93% 89% 88% 91% 89% 90% 90% 91% 88% 90% 90%

C CD CD G I IJ IJk o

Having dinner at a friend’shouse

- - 1630 1688 1763 1779 813 966 473 419 481 406 548 310 862 567 640 572 315 679 377 408 1017 762- - 81% 84% 88% 88% 84% 92% 79% 88% 93% 97% 87% 92% 88% 86% 90% 89% 90% 89% 89% 85% 88% 89%

C CD CD G I IJ IJk mo p v

Visit friends

- - 1051 925 1049 1068 497 572 324 267 260 218 396 170 458 328 369 371 194 409 222 243 590 478- - 52% 46% 53% 53% 51% 55% 54% 56% 50% 52% 63% 50% 47% 50% 52% 58% 55% 54% 53% 51% 51% 56%

D D D NO Pq

Daily exercise

- - 1063 1030 1039 1041 483 558 305 241 258 236 323 167 520 328 382 331 162 417 226 236 588 453- - 53% 51% 52% 52% 50% 53% 51% 51% 50% 56% 52% 50% 53% 50% 54% 51% 46% 55% 54% 49% 51% 53%

S s

Banks

- - 953 905 1045 996 473 523 298 248 233 216 344 163 452 294 369 333 172 374 214 236 574 422- - 47% 45% 52% 49% 49% 50% 50% 52% 45% 51% 55% 48% 46% 45% 52% 52% 49% 49% 51% 49% 50% 49%

CD D k nO P P

Restaurants for carry-out

- - 846 945 984 990 467 523 274 190 266 260 323 172 455 316 343 331 155 350 220 264 483 507- - 42% 47% 49% 49% 48% 50% 46% 40% 52% 62% 52% 51% 46% 48% 48% 52% 44% 46% 52% 55% 42% 59%

C C C J IJK o st ST W

Caring for children

- - 803 851 916 976 461 515 292 226 238 221 305 143 488 318 344 314 167 351 186 272 528 449- - 40% 42% 46% 49% 48% 49% 49% 47% 46% 53% 49% 42% 50% 48% 48% 49% 47% 46% 44% 57% 46% 52%

Cd CD n n STU W

Caring for people withdisabilities

- - 735 796 887 906 426 480 291 215 193 206 290 145 436 290 314 301 161 324 179 242 476 430- - 36% 39% 44% 45% 44% 46% 48% 45% 37% 49% 46% 43% 44% 44% 44% 47% 46% 43% 42% 51% 41% 50%

CD CD K K K Tu W

Caring for elderly

- - 668 751 849 845 406 439 237 201 214 193 269 127 418 266 305 274 166 295 169 216 472 373- - 33% 37% 43% 42% 42% 42% 39% 42% 42% 46% 43% 37% 43% 40% 43% 43% 47% 39% 40% 45% 41% 43%

C CD CD T t

Caring for a familymember in anotherhousehold

- - 685 717 670 684 280 404 183 179 175 147 235 113 323 228 240 216 107 247 155 175 386 298- - 34% 36% 34% 34% 29% 39% 30% 38% 34% 35% 37% 33% 33% 35% 34% 34% 30% 32% 37% 36% 33% 35%

G I

Hospital/doctor’s office

- - 393 390 374 456 204 251 134 118 95 109 152 69 221 127 168 161 72 147 95 142 264 192- - 19% 19% 19% 23% 21% 24% 22% 25% 18% 26% 24% 20% 23% 19% 24% 25% 21% 19% 23% 30% 23% 22%

CDE K K p STu

Pharmacy

- - 295 272 249 324 159 165 89 89 64 82 88 47 174 97 119 108 57 113 64 90 207 117- - 15% 13% 12% 16% 16% 16% 15% 19% 12% 19% 14% 14% 18% 15% 17% 17% 16% 15% 15% 19% 18% 14%

dE K K X

Grocery store



14 Apr 2020Table 4Q6 What are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?





- - 2023 2016 - 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base-** -** 2023 2016 -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

- - 1251 1198 - 1333 610 723 307 271 424 331 406 242 643 466 409 458 230 499 300 303 771 562- - 62% 59% - 66% 63% 69% 51% 57% 82% 79% 65% 72% 65% 71% 58% 71% 65% 66% 71% 63% 67% 65%

CD G IJ IJ mo Q Q V

Order take out from arestaurant and pick it upyourself

- - 772 818 - 680 357 323 294 205 92 89 220 96 339 192 302 186 122 261 121 176 383 297- - 38% 41% - 34% 37% 31% 49% 43% 18% 21% 35% 28% 35% 29% 42% 29% 35% 34% 29% 37% 33% 35%

F F H KL KL n n PR U

Order food delivery froman app (e.g., UberEATS,GrubHub, Doordash)

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 5Q7 What are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?






- - 547 613 - 545 300 245 208 172 87 77 153 64 312 178 213 154 110 208 98 129 339 206- - 27% 30% - 27% 31% 23% 35% 36% 17% 18% 24% 19% 32% 27% 30% 24% 31% 27% 23% 27% 29% 24%

cf H KL KL n MN r U X

Order home deliverygroceries (e.g., Instacart,Postmates)

- - 1476 1403 - 1468 667 801 393 304 429 343 473 273 670 480 499 490 242 553 323 350 814 654- - 73% 70% - 73% 69% 77% 65% 64% 83% 82% 76% 81% 68% 73% 70% 76% 69% 73% 77% 73% 71% 76%

d d G IJ IJ O mO q S W

Buy groceries in person

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 6BHV02 Which of the following actions will make you comfortable to do certain activities (e.g., fly, go to the gym, go to

sporting events, go on a cruise, etc.) again? Please select all that apply.





- - - - - 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base-** -** -** -** -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

- - - - - 1255 620 635 340 265 340 311 353 216 655 394 503 359 218 439 273 325 710 545- - - - - 62% 64% 61% 57% 56% 66% 74% 56% 64% 67% 60% 71% 56% 62% 58% 65% 68% 62% 63%

IJ IJk M M PR t T

A vaccine has beencreated

- - - - - 1064 489 575 315 269 270 210 310 191 530 370 371 323 194 401 233 236 604 461- - - - - 53% 51% 55% 52% 56% 52% 50% 50% 57% 54% 56% 52% 50% 55% 53% 55% 49% 52% 54%

m r

Extreme cleaning of thefacility

- - - - - 968 491 477 312 221 234 201 284 155 504 303 396 268 173 353 204 239 559 409- - - - - 48% 51% 46% 52% 46% 45% 48% 45% 46% 51% 46% 56% 42% 49% 46% 48% 50% 48% 48%

h k M PR

Covid19 testing given toeveryone

- - - - - 737 333 404 243 181 163 150 221 123 375 251 279 208 136 256 165 180 420 317- - - - - 37% 34% 39% 40% 38% 32% 36% 35% 37% 38% 38% 39% 32% 39% 34% 39% 38% 36% 37%

K k r R

Mandatory masks forworkers and patrons

- - - - - 705 312 393 217 157 175 156 187 131 374 224 276 205 128 244 171 163 404 301- - - - - 35% 32% 38% 36% 33% 34% 37% 30% 39% 38% 34% 39% 32% 36% 32% 41% 34% 35% 35%

g M M R T

Mandatory spacing out ofseating (i.e., every otherseat left open)

- - - - - 688 310 378 189 178 174 148 178 127 372 234 258 196 124 254 162 149 408 280- - - - - 34% 32% 36% 31% 37% 34% 35% 28% 38% 38% 36% 36% 31% 35% 33% 38% 31% 35% 33%

i M M r v

Mandatory occupancylimits

- - - - - 493 239 254 151 124 121 97 126 88 267 159 169 166 88 184 113 109 287 207- - - - - 25% 25% 24% 25% 26% 23% 23% 20% 26% 27% 24% 24% 26% 25% 24% 27% 23% 25% 24%

m M

Thermal testing of thefacility

- - - - - 92 35 57 35 18 26 13 27 17 42 28 27 37 15 32 13 32 43 49- - - - - 5% 4% 5% 6% 4% 5% 3% 4% 5% 4% 4% 4% 6% 4% 4% 3% 7% 4% 6%

U w

Other

- - - - - 254 100 155 55 58 75 66 117 38 81 78 70 107 39 118 55 43 145 110- - - - - 13% 10% 15% 9% 12% 15% 16% 19% 11% 8% 12% 10% 17% 11% 15% 13% 9% 13% 13%

G I I NO PQ V

N/A - There are no actionsthat will make mecomfortable to do certainactivities again

- - - - - 6258 2931 3327 1858 1471 1578 1351 1802 1086 3203 2040 2348 1870 1114 2281 1387 1476 3579 2679- - - - - 311% 303% 318% 309% 309% 306% 322% 288% 322% 326% 310% 330% 290% 316% 300% 329% 308% 310% 312%

Sigma



14 Apr 2020Table 7BHV03 How much do you agree or disagree with each of the following statements?

Summary Of Strongly/Somewhat Agree






- - - - - 1851 878 973 506 445 489 410 570 317 904 603 656 592 320 699 390 441 1063 788- - - - - 92% 91% 93% 84% 93% 95% 98% 91% 94% 92% 92% 92% 92% 91% 92% 93% 92% 92% 92%

I I IJ

I am taking the necessarysteps to help slow thespread of coronavirus.

- - - - - 1695 792 903 475 402 446 371 519 290 829 540 626 529 290 634 352 419 970 726- - - - - 84% 82% 86% 79% 84% 87% 88% 83% 86% 84% 82% 88% 82% 82% 83% 84% 87% 84% 84%

G i I I PR

I am concerned that easingoff of the restrictions toosoon will cause a surge incoronavirus cases.

- - - - - 1649 785 864 459 388 427 375 476 281 839 559 581 508 293 620 342 394 954 695- - - - - 82% 81% 83% 76% 81% 83% 89% 76% 83% 85% 85% 82% 79% 83% 81% 81% 82% 83% 81%

i I IJK M M R

I believe my neighbors aretaking necessary steps toslow the spread ofcoronavirus.____________________________________________________________________________________________________________________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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 8BHV03 How much do you agree or disagree with each of the following statements?

Summary Of Strongly/Somewhat Disagree






- - - - - 364 182 182 142 89 88 45 151 56 143 99 130 135 59 141 79 85 200 165- - - - - 18% 19% 17% 24% 19% 17% 11% 24% 17% 15% 15% 18% 21% 17% 19% 19% 18% 17% 19%

jKL L L NO P

I believe my neighbors aretaking necessary steps toslow the spread ofcoronavirus.

- - - - - 318 175 143 126 74 69 49 107 47 153 118 85 115 63 126 69 60 184 134- - - - - 16% 18% 14% 21% 16% 13% 12% 17% 14% 16% 18% 12% 18% 18% 17% 16% 13% 16% 16%

H jKL Q Q

I am concerned that easingoff of the restrictions toosoon will cause a surge incoronavirus cases.

- - - - - 162 89 73 95 31 26 10 56 21 79 55 56 52 32 62 31 38 91 72- - - - - 8% 9% 7% 16% 7% 5% 2% 9% 6% 8% 8% 8% 8% 9% 8% 7% 8% 8% 8%

JKL L

I am taking the necessarysteps to help slow thespread of coronavirus.____________________________________________________________________________________________________________________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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 9BHV03_1 How much do you agree or disagree with each of the following statements?

I am taking the necessary steps to help slow the spread of coronavirus.






- - - - - 1851 878 973 506 445 489 410 570 317 904 603 656 592 320 699 390 441 1063 788- - - - - 92% 91% 93% 84% 93% 95% 98% 91% 94% 92% 92% 92% 92% 91% 92% 93% 92% 92% 92%

I I IJ

Strongly/Somewhat Agree(Net)

- - - - - 1398 636 762 328 330 382 358 427 244 685 460 508 430 229 531 318 321 829 569- - - - - 69% 66% 73% 55% 69% 74% 85% 68% 72% 70% 70% 71% 67% 65% 70% 76% 67% 72% 66%

G I I IJK StV X

Strongly agree

- - - - - 452 242 211 178 115 107 52 144 72 219 143 147 162 91 168 72 121 234 219- - - - - 22% 25% 20% 30% 24% 21% 12% 23% 21% 22% 22% 21% 25% 26% 22% 17% 25% 20% 25%

H KL L L U u U W

Somewhat agree

- - - - - 162 89 73 95 31 26 10 56 21 79 55 56 52 32 62 31 38 91 72- - - - - 8% 9% 7% 16% 7% 5% 2% 9% 6% 8% 8% 8% 8% 9% 8% 7% 8% 8% 8%

JKL L

Strongly/SomewhatDisagree (Net)

- - - - - 74 42 33 50 12 9 3 25 10 35 24 23 27 21 26 13 14 39 35- - - - - 4% 4% 3% 8% 3% 2% 1% 4% 3% 4% 4% 3% 4% 6% 3% 3% 3% 3% 4%

JKL l v

Somewhat disagree

- - - - - 88 48 40 45 19 17 7 30 11 44 31 32 25 11 35 18 24 52 36- - - - - 4% 5% 4% 7% 4% 3% 2% 5% 3% 4% 5% 5% 4% 3% 5% 4% 5% 4% 4%

JKL

Strongly disagree

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I believe my neighbors are taking necessary steps to slow the spread of coronavirus.






- - - - - 1649 785 864 459 388 427 375 476 281 839 559 581 508 293 620 342 394 954 695- - - - - 82% 81% 83% 76% 81% 83% 89% 76% 83% 85% 85% 82% 79% 83% 81% 81% 82% 83% 81%

i I IJK M M R


- - - - - 787 364 423 218 186 177 206 209 119 424 309 283 195 142 296 163 185 474 313- - - - - 39% 38% 40% 36% 39% 34% 49% 33% 35% 43% 47% 40% 30% 40% 39% 39% 39% 41% 36%

IJK MN QR R x

Strongly agree

- - - - - 862 421 441 241 202 250 169 267 162 415 251 298 313 151 324 179 209 480 382- - - - - 43% 44% 42% 40% 42% 49% 40% 43% 48% 42% 38% 42% 49% 43% 43% 42% 44% 42% 44%

Il Pq

Somewhat agree

- - - - - 364 182 182 142 89 88 45 151 56 143 99 130 135 59 141 79 85 200 165- - - - - 18% 19% 17% 24% 19% 17% 11% 24% 17% 15% 15% 18% 21% 17% 19% 19% 18% 17% 19%

jKL L L NO P


- - - - - 245 123 121 101 57 55 31 100 33 106 65 76 104 42 87 53 62 142 103- - - - - 12% 13% 12% 17% 12% 11% 7% 16% 10% 11% 10% 11% 16% 12% 11% 13% 13% 12% 12%

jKL l NO PQ

Somewhat disagree

- - - - - 119 59 61 41 32 33 14 51 23 37 34 54 32 17 53 26 24 58 62- - - - - 6% 6% 6% 7% 7% 6% 3% 8% 7% 4% 5% 8% 5% 5% 7% 6% 5% 5% 7%

l l O o

Strongly disagree

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I am concerned that easing off of the restrictions too soon will cause a surge in coronavirus cases.






- - - - - 1695 792 903 475 402 446 371 519 290 829 540 626 529 290 634 352 419 970 726- - - - - 84% 82% 86% 79% 84% 87% 88% 83% 86% 84% 82% 88% 82% 82% 83% 84% 87% 84% 84%

G i I I PR


- - - - - 1095 483 611 256 252 308 279 338 183 543 335 441 318 172 426 244 253 621 474- - - - - 54% 50% 58% 43% 53% 60% 66% 54% 54% 55% 51% 62% 49% 49% 56% 58% 53% 54% 55%

G I Ij IJ PR s S

Strongly agree

- - - - - 601 309 292 219 150 139 93 181 108 286 205 185 211 118 209 108 166 349 252- - - - - 30% 32% 28% 36% 32% 27% 22% 29% 32% 29% 31% 26% 33% 33% 27% 26% 35% 30% 29%

KL L q Q tu TU

Somewhat agree

- - - - - 318 175 143 126 74 69 49 107 47 153 118 85 115 63 126 69 60 184 134- - - - - 16% 18% 14% 21% 16% 13% 12% 17% 14% 16% 18% 12% 18% 18% 17% 16% 13% 16% 16%

H jKL Q Q


- - - - - 190 114 76 72 47 42 29 64 24 97 69 44 77 37 83 38 32 112 78- - - - - 9% 12% 7% 12% 10% 8% 7% 10% 7% 10% 10% 6% 12% 10% 11% 9% 7% 10% 9%

H kL Q Q v

Somewhat disagree

- - - - - 127 61 66 54 26 28 19 43 23 56 49 41 37 26 43 30 28 72 55- - - - - 6% 6% 6% 9% 6% 5% 5% 7% 7% 6% 7% 6% 6% 7% 6% 7% 6% 6% 6%

jkL

Strongly disagree

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 12BHV04 Which of the following actions should be taken before stay-at-home orders are rescinded (i.e., withdrawn)? Please select

all that apply.






- - - - - 1346 643 702 381 302 361 302 393 234 687 435 500 411 230 489 294 332 757 589- - - - - 67% 67% 67% 63% 63% 70% 72% 63% 69% 70% 66% 70% 64% 65% 64% 70% 69% 66% 69%

ij IJ m M R

Staying 6 feet or moreapart from others out inpublic

- - - - - 1199 552 647 301 280 315 304 355 206 606 411 416 372 194 460 262 282 688 511- - - - - 60% 57% 62% 50% 59% 61% 72% 57% 61% 62% 62% 59% 58% 55% 60% 62% 59% 60% 59%

g I I IJK m

Recommending those withany underlying ailmentsremain at home

- - - - - 1108 515 593 328 263 283 234 333 184 563 342 412 354 203 382 236 287 632 475- - - - - 55% 53% 57% 54% 55% 55% 56% 53% 54% 57% 52% 58% 55% 58% 50% 56% 60% 55% 55%

p t T

Wearing a face mask everytime I leave my home

- - - - - 1037 533 505 281 230 278 248 296 163 551 315 417 306 157 391 233 256 596 441- - - - - 52% 55% 48% 47% 48% 54% 59% 47% 48% 56% 48% 59% 47% 45% 51% 55% 53% 52% 51%

H i IJ Mn PR s S s

Providing mass testing tothe public

- - - - - 950 458 492 241 216 250 244 249 168 511 349 301 299 171 336 210 233 550 400- - - - - 47% 47% 47% 40% 45% 48% 58% 40% 50% 52% 53% 42% 47% 49% 44% 50% 49% 48% 47%

I IJK M M Qr

Allowing more businessesto resume operation butwith limitations

- - - - - 934 427 507 250 212 244 229 245 181 488 303 352 280 155 358 212 210 528 407- - - - - 46% 44% 49% 42% 44% 47% 54% 39% 54% 50% 46% 50% 43% 44% 47% 50% 44% 46% 47%

IJ M M r

Mandating occupancylimits

- - - - - 37 16 22 9 6 14 7 14 3 20 7 17 13 8 13 9 7 23 14- - - - - 2% 2% 2% 2% 1% 3% 2% 2% 1% 2% 1% 2% 2% 2% 2% 2% 1% 2% 2%

Other

- - - - - 148 62 86 40 37 38 33 64 28 39 43 39 66 24 53 36 34 78 70- - - - - 7% 6% 8% 7% 8% 7% 8% 10% 8% 4% 7% 5% 10% 7% 7% 9% 7% 7% 8%

O O pQ

N/A - I do not think anyactions should be takenbefore stay-at-home ordersare rescinded

- - - - - 6759 3205 3554 1831 1546 1783 1600 1949 1167 3464 2205 2455 2100 1143 2483 1491 1641 3851 2908- - - - - 336% 331% 340% 305% 325% 346% 381% 311% 346% 353% 335% 345% 326% 325% 326% 354% 343% 334% 338%

Sigma



14 Apr 2020Table 13BHV04 Which of the following actions should be taken before stay-at-home orders are rescinded (i.e., withdrawn)? Please select

all that apply.

Base: Agree Social Distancing Requirements Need To Be Rescinded To Restart Economy




- - - - - 1028 492 536 376 327 210 115 462 159 370 374 342 312 210 374 215 229 581 447Unweighted Base-** -** -** -** -** 995 515 479 347 294 225 128* 326 155 476 348 339 307 210 368 189 227 580 415Weighted Base

- - - - - 613 303 310 216 176 139 82 189 98 307 208 232 173 132 205 120 156 354 259- - - - - 62% 59% 65% 62% 60% 62% 64% 58% 63% 64% 60% 68% 56% 63% 56% 63% 69% 61% 62%

pR T

Staying 6 feet or moreapart from others out inpublic

- - - - - 541 260 282 173 165 113 90 174 91 263 203 179 160 101 199 114 128 323 218- - - - - 54% 50% 59% 50% 56% 50% 70% 53% 59% 55% 58% 53% 52% 48% 54% 60% 56% 56% 53%

G IJK S

Recommending those withany underlying ailmentsremain at home

- - - - - 533 266 267 202 159 108 64 168 76 274 170 208 154 125 170 100 137 321 212- - - - - 54% 52% 56% 58% 54% 48% 50% 51% 49% 58% 49% 61% 50% 59% 46% 53% 60% 55% 51%

k PR T T

Wearing a face mask everytime I leave my home

- - - - - 466 237 229 146 138 102 79 137 75 241 190 142 133 93 170 89 113 276 190- - - - - 47% 46% 48% 42% 47% 46% 61% 42% 49% 51% 55% 42% 43% 44% 46% 47% 50% 48% 46%

IJK M QR

Allowing more businessesto resume operation butwith limitations

- - - - - 461 257 203 162 138 95 66 136 60 254 151 182 128 86 167 95 113 276 184- - - - - 46% 50% 42% 47% 47% 42% 51% 42% 39% 53% 43% 54% 41% 41% 45% 50% 50% 48% 44%

h MN PR

Providing mass testing tothe public

- - - - - 414 198 216 154 114 85 61 117 77 209 138 159 117 75 153 82 103 240 173- - - - - 42% 38% 45% 44% 39% 38% 47% 36% 49% 44% 40% 47% 38% 36% 42% 43% 45% 41% 42%

g M m r

Mandating occupancylimits

- - - - - 11 4 7 1 4 6 - 5 1 5 1 5 5 1 3 6 2 7 4- - - - - 1% 1% 1% * 1% 3% - 1% 1% 1% * 1% 2% * 1% 3% 1% 1% 1%

I st

Other

- - - - - 100 48 52 31 24 30 15 41 16 28 29 24 47 19 36 23 21 51 49- - - - - 10% 9% 11% 9% 8% 13% 11% 13% 11% 6% 8% 7% 15% 9% 10% 12% 9% 9% 12%

O PQ

N/A - I do not think anyactions should be takenbefore stay-at-home ordersare rescinded

- - - - - 3137 1573 1565 1085 920 677 456 968 495 1581 1091 1131 916 632 1103 629 774 1848 1289- - - - - 315% 305% 326% 312% 313% 301% 355% 297% 320% 332% 313% 334% 298% 301% 300% 332% 341% 319% 311%

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 - W/XOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 14BHV08 Which are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?






- - - - - 1712 803 909 462 413 473 363 547 275 835 583 598 531 286 658 362 405 982 730- - - - - 85% 83% 87% 77% 87% 92% 86% 87% 81% 85% 88% 84% 83% 81% 87% 86% 85% 85% 85%

g I IJl I N qR s

Exercise at home (e.g.,In-home gym, virtualworkouts, run outside)

- - - - - 301 164 137 139 63 42 57 79 63 147 76 113 113 66 102 59 74 171 130- - - - - 15% 17% 13% 23% 13% 8% 14% 13% 19% 15% 12% 16% 17% 19% 13% 14% 15% 15% 15%

h JKL K k M p P t

Go to local gym

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma









- - - - - 1353 631 721 356 301 364 332 441 210 652 445 482 426 235 544 279 295 783 569- - - - - 67% 65% 69% 59% 63% 71% 79% 70% 62% 66% 68% 68% 66% 67% 72% 66% 61% 68% 66%

IJ IJK N V

Virtual happy hour withfriends

- - - - - 660 336 325 245 175 152 88 186 127 331 214 229 218 117 217 143 184 370 290- - - - - 33% 35% 31% 41% 37% 29% 21% 30% 38% 34% 32% 32% 34% 33% 28% 34% 39% 32% 34%

KL KL L M T

Happy hour atbars/restaurants

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma









- - - - - 1283 624 659 354 278 338 313 428 230 580 442 434 407 238 469 272 303 721 561- - - - - 64% 65% 63% 59% 58% 66% 75% 68% 68% 59% 67% 61% 63% 68% 62% 65% 63% 63% 65%

ij IJK O O q

In-person doctorappointments

- - - - - 730 343 387 247 199 177 107 199 108 402 217 277 237 114 292 149 176 432 298- - - - - 36% 35% 37% 41% 42% 34% 25% 32% 32% 41% 33% 39% 37% 32% 38% 35% 37% 37% 35%

kL kL L MN p

Virtual doctorappointments

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma









- - - - - 1308 632 676 402 310 355 240 428 205 630 417 490 401 209 508 292 299 736 572- - - - - 65% 65% 65% 67% 65% 69% 57% 68% 61% 64% 63% 69% 62% 59% 67% 69% 62% 64% 67%

L l L N pR s Sv

Get take-out from arestaurant

- - - - - 705 334 370 199 166 160 180 199 132 352 241 221 242 143 253 130 180 417 287- - - - - 35% 35% 35% 33% 35% 31% 43% 32% 39% 36% 37% 31% 38% 41% 33% 31% 38% 36% 33%

IjK M q Q tU u

Dining in a restaurant

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma









- - - - - 1588 738 850 422 365 429 373 511 256 766 525 564 499 248 627 343 369 916 672- - - - - 79% 76% 81% 70% 77% 83% 89% 82% 76% 78% 80% 79% 78% 71% 82% 81% 77% 79% 78%

G I IJ IJk n Sv S s

Watch a movie at home

- - - - - 425 229 196 179 111 87 47 115 82 217 133 147 144 104 134 78 110 237 188- - - - - 21% 24% 19% 30% 23% 17% 11% 18% 24% 22% 20% 21% 22% 29% 18% 19% 23% 21% 22%

H JKL KL l m TUv t

Go to the movies

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma









- - - - - 1154 591 562 385 290 259 219 420 166 523 337 428 389 175 448 242 290 651 503- - - - - 57% 61% 54% 64% 61% 50% 52% 67% 49% 53% 51% 60% 60% 50% 59% 57% 61% 56% 58%

H KL KL NO P P S s S

Buy your own groomingsupplies

- - - - - 859 376 484 216 186 257 201 206 172 459 321 283 255 178 313 179 189 502 357- - - - - 43% 39% 46% 36% 39% 50% 48% 33% 51% 47% 49% 40% 40% 50% 41% 43% 39% 44% 42%

G IJ IJ M M QR TuV

Go to the hairdresser

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma









- - - - - 1470 706 763 406 338 383 343 485 234 697 462 530 478 240 585 306 339 841 629- - - - - 73% 73% 73% 68% 71% 74% 82% 77% 69% 71% 70% 75% 74% 68% 77% 73% 71% 73% 73%

i IJK NO Sv

Live stream sportingevents/concerts at home

- - - - - 543 260 283 195 138 133 77 142 103 285 197 181 165 112 176 115 140 313 230- - - - - 27% 27% 27% 32% 29% 26% 18% 23% 31% 29% 30% 25% 26% 32% 23% 27% 29% 27% 27%

kL L L M M T t

Attend live sportingevents/a live concert

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 21BHV15 Since the coronavirus outbreak are you consuming more or less of the following?

Summary Of More

Base: All Respondents (Variable Bases)




- - - - - 1365 642 722 412 353 348 252 371 228 725 452 510 403 242 514 302 308 798 567- - - - - 68% 66% 69% 69% 74% 67% 60% 59% 67% 74% 69% 72% 63% 69% 68% 72% 64% 69% 66%

L ikL l M Mn r R v

Home cooked meals

- - - - - 849 431 418 299 223 197 129 232 129 460 283 313 253 159 311 177 201 521 328- - - - - 42% 45% 40% 50% 47% 38% 31% 37% 38% 47% 43% 44% 39% 45% 41% 42% 42% 45% 38%

h KL KL l MN X

Fresh food (vegetables,fruit)

- - - - - 807 378 429 316 225 170 96 235 134 415 251 331 225 163 320 147 177 472 335- - - - - 40% 39% 41% 53% 47% 33% 23% 38% 40% 42% 38% 47% 35% 46% 42% 35% 37% 41% 39%

KL KL L PR UV u

Snack foods (chips, nuts,granola bars)

- - - - - 703 348 355 285 187 137 93 201 118 362 234 269 200 127 273 136 166 408 294- - - - - 35% 36% 34% 47% 39% 27% 22% 32% 35% 37% 36% 38% 31% 36% 36% 32% 35% 35% 34%

JKL KL R

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

- - - - - 702 361 341 263 197 147 96 195 102 383 224 275 202 142 255 148 156 435 267- - - - - 35% 37% 33% 44% 41% 28% 23% 31% 30% 39% 34% 39% 31% 40% 34% 35% 33% 38% 31%

h KL KL MN R tv X

Coffee and tea

- - - - - 527 260 266 198 162 105 61 154 85 274 186 207 134 110 202 91 124 335 191- - - - - 26% 27% 25% 33% 34% 20% 14% 25% 25% 28% 28% 29% 21% 31% 27% 22% 26% 29% 22%

KL KL l R R U X

Candy and chocolate

- - - - - 490 270 220 216 153 87 33 144 72 263 168 185 136 96 200 93 101 311 179- - - - - 24% 28% 21% 36% 32% 17% 8% 23% 21% 27% 26% 26% 21% 27% 26% 22% 21% 27% 21%

H KL KL L X

Soft drinks

- - - - - 374 220 154 140 128 69 38 86 61 224 131 127 116 65 138 86 86 233 142- - - - - 20% 24% 16% 30% 27% 13% 9% 15% 19% 24% 21% 19% 20% 19% 19% 22% 20% 21% 19%

H KL KL M

Alcohol (beer, wine,spirits)

- - - - - 339 191 148 155 86 67 30 94 47 184 114 124 100 75 107 63 94 203 135- - - - - 17% 20% 14% 26% 18% 13% 7% 15% 14% 19% 17% 17% 16% 21% 14% 15% 20% 18% 16%

H JKL kL L Tu T

Fast food




Summary Of Less





- - - - - 1005 476 529 281 257 264 202 309 169 505 322 373 310 137 411 225 231 588 417- - - - - 50% 49% 51% 47% 54% 51% 48% 49% 50% 51% 49% 52% 48% 39% 54% 53% 48% 51% 48%

I S S S

Fast food

- - - - - 456 234 222 175 99 98 85 146 64 237 119 160 177 67 149 109 131 252 204- - - - - 23% 24% 21% 29% 21% 19% 20% 23% 19% 24% 18% 22% 28% 19% 20% 26% 27% 22% 24%

JKL Pq sT ST

Candy and chocolate

- - - - - 389 183 207 144 113 79 53 117 77 185 100 141 149 73 129 80 107 218 171- - - - - 19% 19% 20% 24% 24% 15% 13% 19% 23% 19% 15% 20% 23% 21% 17% 19% 22% 19% 20%

KL KL p P t

Soft drinks

- - - - - 343 188 156 118 89 77 59 105 46 182 83 137 124 65 119 82 78 221 123- - - - - 17% 19% 15% 20% 19% 15% 14% 17% 14% 19% 13% 19% 19% 18% 16% 19% 16% 19% 14%

H kl P P X


- - - - - 342 161 181 113 90 74 64 109 43 182 111 127 104 62 133 73 74 193 148- - - - - 17% 17% 17% 19% 19% 14% 15% 17% 13% 19% 17% 18% 16% 18% 17% 17% 16% 17% 17%

n n


- - - - - 309 185 124 119 93 61 35 88 38 179 96 133 80 75 108 51 75 187 122- - - - - 16% 20% 13% 25% 20% 12% 8% 15% 12% 19% 15% 20% 14% 23% 15% 13% 18% 17% 16%

H jKL KL mN pR TU


- - - - - 300 163 137 91 73 66 69 110 39 141 93 98 108 49 108 69 75 180 120- - - - - 15% 17% 13% 15% 15% 13% 16% 18% 12% 14% 14% 14% 17% 14% 14% 16% 16% 16% 14%

h N


- - - - - 215 108 107 95 64 30 26 77 34 95 63 87 64 32 83 33 66 123 92- - - - - 11% 11% 10% 16% 13% 6% 6% 12% 10% 10% 10% 12% 10% 9% 11% 8% 14% 11% 11%

KL KL sU

Coffee and tea

- - - - - 134 79 55 78 28 13 15 49 16 61 32 47 55 24 55 16 38 81 53- - - - - 7% 8% 5% 13% 6% 2% 4% 8% 5% 6% 5% 7% 9% 7% 7% 4% 8% 7% 6%

H JKL K P u U

Home cooked meals




Summary Of No Change





- - - - - 957 438 520 194 190 293 281 299 169 462 329 297 331 159 373 196 229 534 423- - - - - 48% 45% 50% 32% 40% 57% 67% 48% 50% 47% 50% 42% 51% 45% 49% 47% 48% 46% 49%

I IJ IJK Q Q

Coffee and tea

- - - - - 911 409 503 195 193 284 239 288 167 425 315 297 299 155 362 196 198 514 398- - - - - 45% 42% 48% 32% 41% 55% 57% 46% 50% 43% 48% 42% 46% 44% 48% 46% 41% 45% 46%

G I IJ IJ q

Candy and chocolate

- - - - - 843 390 452 179 168 268 227 262 152 403 292 265 285 131 311 186 215 477 365- - - - - 42% 40% 43% 30% 35% 52% 54% 42% 45% 41% 44% 37% 44% 37% 41% 44% 45% 41% 42%

IJ IJ Q Q s


- - - - - 840 396 443 195 164 257 224 283 142 392 286 278 276 129 329 185 197 460 380- - - - - 42% 41% 42% 32% 34% 50% 53% 45% 42% 40% 43% 39% 43% 37% 43% 44% 41% 40% 44%

IJ IJ o

Soft drinks

- - - - - 802 360 443 160 168 263 211 269 150 354 269 256 277 130 312 173 187 437 365- - - - - 40% 37% 42% 27% 35% 51% 50% 43% 44% 36% 41% 36% 43% 37% 41% 41% 39% 38% 42%

g I IJ IJ O O Q


- - - - - 800 363 437 174 159 242 225 274 160 339 256 267 276 129 306 168 198 436 365- - - - - 40% 38% 42% 29% 33% 47% 53% 44% 47% 34% 39% 38% 43% 37% 40% 40% 41% 38% 42%

IJ IJ O O w


- - - - - 634 305 328 109 137 210 178 170 98 341 207 225 202 106 245 140 144 386 248- - - - - 34% 34% 34% 23% 29% 41% 42% 29% 31% 37% 33% 34% 34% 32% 34% 35% 34% 34% 33%

IJ IJ M


- - - - - 494 231 263 99 91 154 149 198 89 191 168 146 181 85 183 103 123 266 228- - - - - 25% 24% 25% 17% 19% 30% 36% 32% 26% 19% 25% 20% 28% 24% 24% 24% 26% 23% 27%

IJ IJ O O q Q

Home cooked meals

- - - - - 467 213 254 127 90 133 118 158 84 206 161 142 164 87 170 98 112 260 207- - - - - 23% 22% 24% 21% 19% 26% 28% 25% 25% 21% 24% 20% 25% 25% 22% 23% 23% 23% 24%

J iJ o q

Fast food



14 Apr 2020Table 24BHV15_1 Since the coronavirus outbreak are you consuming more or less of the following?

Fresh food (vegetables, fruit)






- - - - - 849 431 418 299 223 197 129 232 129 460 283 313 253 159 311 177 201 521 328- - - - - 42% 45% 40% 50% 47% 38% 31% 37% 38% 47% 43% 44% 39% 45% 41% 42% 42% 45% 38%

h KL KL l MN X

More

- - - - - 342 161 181 113 90 74 64 109 43 182 111 127 104 62 133 73 74 193 148- - - - - 17% 17% 17% 19% 19% 14% 15% 17% 13% 19% 17% 18% 16% 18% 17% 17% 16% 17% 17%

n n

Less

- - - - - 800 363 437 174 159 242 225 274 160 339 256 267 276 129 306 168 198 436 365- - - - - 40% 38% 42% 29% 33% 47% 53% 44% 47% 34% 39% 38% 43% 37% 40% 40% 41% 38% 42%

IJ IJ O O w

No change

- - - - - 22 12 11 14 4 2 2 11 5 2 7 5 10 3 11 3 5 3 19- - - - - 1% 1% 1% 2% 1% * 1% 2% 1% * 1% 1% 2% 1% 1% 1% 1% * 2%

K O O W

I do not consume thisproduct

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Fast food






- - - - - 339 191 148 155 86 67 30 94 47 184 114 124 100 75 107 63 94 203 135- - - - - 17% 20% 14% 26% 18% 13% 7% 15% 14% 19% 17% 17% 16% 21% 14% 15% 20% 18% 16%

H JKL kL L Tu T

More

- - - - - 1005 476 529 281 257 264 202 309 169 505 322 373 310 137 411 225 231 588 417- - - - - 50% 49% 51% 47% 54% 51% 48% 49% 50% 51% 49% 52% 48% 39% 54% 53% 48% 51% 48%

I S S S

Less

- - - - - 467 213 254 127 90 133 118 158 84 206 161 142 164 87 170 98 112 260 207- - - - - 23% 22% 24% 21% 19% 26% 28% 25% 25% 21% 24% 20% 25% 25% 22% 23% 23% 23% 24%

J iJ o q

No change

- - - - - 203 87 115 39 42 51 70 65 39 87 61 71 70 53 72 35 43 103 100- - - - - 10% 9% 11% 6% 9% 10% 17% 10% 11% 9% 9% 10% 11% 15% 9% 8% 9% 9% 12%

i IJK TUV


- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Alcohol (beer, wine, spirits)






- - - - - 374 220 154 140 128 69 38 86 61 224 131 127 116 65 138 86 86 233 142- - - - - 20% 24% 16% 30% 27% 13% 9% 15% 19% 24% 21% 19% 20% 19% 19% 22% 20% 21% 19%

H KL KL M

More

- - - - - 309 185 124 119 93 61 35 88 38 179 96 133 80 75 108 51 75 187 122- - - - - 16% 20% 13% 25% 20% 12% 8% 15% 12% 19% 15% 20% 14% 23% 15% 13% 18% 17% 16%

H jKL KL mN pR TU

Less

- - - - - 634 305 328 109 137 210 178 170 98 341 207 225 202 106 245 140 144 386 248- - - - - 34% 34% 34% 23% 29% 41% 42% 29% 31% 37% 33% 34% 34% 32% 34% 35% 34% 34% 33%

IJ IJ M

No change

- - - - - 563 193 369 100 118 175 170 239 120 180 199 171 193 87 233 119 124 325 238- - - - - 30% 21% 38% 21% 25% 34% 40% 41% 38% 19% 31% 26% 33% 26% 32% 30% 29% 29% 32%

G IJ IJ O O q Q


- - - - - 1880 904 976 468 476 516 420 583 318 924 633 655 591 333 723 396 428 1131 749- - - - - 100% 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)






- - - - - 807 378 429 316 225 170 96 235 134 415 251 331 225 163 320 147 177 472 335- - - - - 40% 39% 41% 53% 47% 33% 23% 38% 40% 42% 38% 47% 35% 46% 42% 35% 37% 41% 39%

KL KL L PR UV u

More

- - - - - 300 163 137 91 73 66 69 110 39 141 93 98 108 49 108 69 75 180 120- - - - - 15% 17% 13% 15% 15% 13% 16% 18% 12% 14% 14% 14% 17% 14% 14% 16% 16% 16% 14%

h N

Less

- - - - - 843 390 452 179 168 268 227 262 152 403 292 265 285 131 311 186 215 477 365- - - - - 42% 40% 43% 30% 35% 52% 54% 42% 45% 41% 44% 37% 44% 37% 41% 44% 45% 41% 42%

IJ IJ Q Q s

No change

- - - - - 63 36 27 15 10 11 28 19 12 23 21 17 25 10 22 19 12 24 40- - - - - 3% 4% 3% 2% 2% 2% 7% 3% 4% 2% 3% 2% 4% 3% 3% 5% 3% 2% 5%

IJK W


- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 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)






- - - - - 703 348 355 285 187 137 93 201 118 362 234 269 200 127 273 136 166 408 294- - - - - 35% 36% 34% 47% 39% 27% 22% 32% 35% 37% 36% 38% 31% 36% 36% 32% 35% 35% 34%

JKL KL R

More

- - - - - 343 188 156 118 89 77 59 105 46 182 83 137 124 65 119 82 78 221 123- - - - - 17% 19% 15% 20% 19% 15% 14% 17% 14% 19% 13% 19% 19% 18% 16% 19% 16% 19% 14%

H kl P P X

Less

- - - - - 802 360 443 160 168 263 211 269 150 354 269 256 277 130 312 173 187 437 365- - - - - 40% 37% 42% 27% 35% 51% 50% 43% 44% 36% 41% 36% 43% 37% 41% 41% 39% 38% 42%

g I IJ IJ O O Q

No change

- - - - - 165 72 93 38 32 38 57 50 23 84 73 49 43 31 57 30 47 87 77- - - - - 8% 7% 9% 6% 7% 7% 14% 8% 7% 9% 11% 7% 7% 9% 8% 7% 10% 8% 9%

IJK QR


- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Home cooked meals






- - - - - 1365 642 722 412 353 348 252 371 228 725 452 510 403 242 514 302 308 798 567- - - - - 68% 66% 69% 69% 74% 67% 60% 59% 67% 74% 69% 72% 63% 69% 68% 72% 64% 69% 66%

L ikL l M Mn r R v

More

- - - - - 134 79 55 78 28 13 15 49 16 61 32 47 55 24 55 16 38 81 53- - - - - 7% 8% 5% 13% 6% 2% 4% 8% 5% 6% 5% 7% 9% 7% 7% 4% 8% 7% 6%

H JKL K P u U

Less

- - - - - 494 231 263 99 91 154 149 198 89 191 168 146 181 85 183 103 123 266 228- - - - - 25% 24% 25% 17% 19% 30% 36% 32% 26% 19% 25% 20% 28% 24% 24% 24% 26% 23% 27%

IJ IJ O O q Q

No change

- - - - - 20 14 6 12 3 1 3 7 5 5 7 9 4 1 9 1 9 9 12- - - - - 1% 1% 1% 2% 1% * 1% 1% 1% * 1% 1% 1% * 1% * 2% 1% 1%

K sU


- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Coffee and tea






- - - - - 702 361 341 263 197 147 96 195 102 383 224 275 202 142 255 148 156 435 267- - - - - 35% 37% 33% 44% 41% 28% 23% 31% 30% 39% 34% 39% 31% 40% 34% 35% 33% 38% 31%

h KL KL MN R tv X

More

- - - - - 215 108 107 95 64 30 26 77 34 95 63 87 64 32 83 33 66 123 92- - - - - 11% 11% 10% 16% 13% 6% 6% 12% 10% 10% 10% 12% 10% 9% 11% 8% 14% 11% 11%

KL KL sU

Less

- - - - - 957 438 520 194 190 293 281 299 169 462 329 297 331 159 373 196 229 534 423- - - - - 48% 45% 50% 32% 40% 57% 67% 48% 50% 47% 50% 42% 51% 45% 49% 47% 48% 46% 49%

I IJ IJK Q Q

No change

- - - - - 139 60 79 49 25 47 18 56 32 43 41 52 46 19 49 44 28 62 77- - - - - 7% 6% 8% 8% 5% 9% 4% 9% 10% 4% 6% 7% 7% 5% 6% 10% 6% 5% 9%

l jL O O StV W


- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Soft drinks






- - - - - 490 270 220 216 153 87 33 144 72 263 168 185 136 96 200 93 101 311 179- - - - - 24% 28% 21% 36% 32% 17% 8% 23% 21% 27% 26% 26% 21% 27% 26% 22% 21% 27% 21%

H KL KL L X

More

- - - - - 389 183 207 144 113 79 53 117 77 185 100 141 149 73 129 80 107 218 171- - - - - 19% 19% 20% 24% 24% 15% 13% 19% 23% 19% 15% 20% 23% 21% 17% 19% 22% 19% 20%

KL KL p P t

Less

- - - - - 840 396 443 195 164 257 224 283 142 392 286 278 276 129 329 185 197 460 380- - - - - 42% 41% 42% 32% 34% 50% 53% 45% 42% 40% 43% 39% 43% 37% 43% 44% 41% 40% 44%

IJ IJ o

No change

- - - - - 294 118 176 46 47 92 110 82 46 142 104 108 83 54 103 63 74 165 130- - - - - 15% 12% 17% 8% 10% 18% 26% 13% 14% 14% 16% 15% 13% 15% 14% 15% 16% 14% 15%

G IJ IJK


- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Candy and chocolate






- - - - - 527 260 266 198 162 105 61 154 85 274 186 207 134 110 202 91 124 335 191- - - - - 26% 27% 25% 33% 34% 20% 14% 25% 25% 28% 28% 29% 21% 31% 27% 22% 26% 29% 22%

KL KL l R R U X

More

- - - - - 456 234 222 175 99 98 85 146 64 237 119 160 177 67 149 109 131 252 204- - - - - 23% 24% 21% 29% 21% 19% 20% 23% 19% 24% 18% 22% 28% 19% 20% 26% 27% 22% 24%

JKL Pq sT ST

Less

- - - - - 911 409 503 195 193 284 239 288 167 425 315 297 299 155 362 196 198 514 398- - - - - 45% 42% 48% 32% 41% 55% 57% 46% 50% 43% 48% 42% 46% 44% 48% 46% 41% 45% 46%

G I IJ IJ q

No change

- - - - - 119 64 56 33 22 29 36 38 22 45 39 47 34 19 48 26 26 53 67- - - - - 6% 7% 5% 5% 5% 6% 8% 6% 6% 5% 6% 7% 5% 5% 6% 6% 5% 5% 8%

j W


- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 33BHV07 Based on what you know and have heard, when do you think Americans should start returning to work and life as normal?






- - - - - 180 108 72 69 57 34 19 55 28 91 66 55 60 25 70 35 50 120 60- - - - - 9% 11% 7% 11% 12% 7% 5% 9% 8% 9% 10% 8% 9% 7% 9% 8% 10% 10% 7%

H KL KL X

1-2 weeks from now

- - - - - 459 235 224 145 125 118 71 151 73 223 190 125 144 94 163 95 107 280 179- - - - - 23% 24% 21% 24% 26% 23% 17% 24% 22% 23% 29% 18% 22% 27% 21% 23% 22% 24% 21%

L L l QR q

3-4 weeks from now

- - - - - 1018 475 543 288 201 277 251 280 171 539 329 354 335 184 379 214 241 574 444- - - - - 51% 49% 52% 48% 42% 54% 60% 45% 51% 55% 50% 50% 52% 52% 50% 51% 50% 50% 52%

J IJ M

More than a month fromnow

- - - - - 357 149 208 99 93 86 79 141 65 130 74 177 106 49 149 77 82 180 177- - - - - 18% 15% 20% 16% 20% 17% 19% 22% 19% 13% 11% 25% 16% 14% 20% 18% 17% 16% 21%

G O O PR P s W

More than six months fromnow

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 34SOC01 Which of the following do you believe people should receive a fine for? Please select all that apply.

People should receive a fine if they are...






- - - - - 1310 617 693 356 278 364 312 385 234 649 416 515 379 234 483 280 314 751 559- - - - - 65% 64% 66% 59% 58% 71% 74% 61% 69% 66% 63% 72% 59% 66% 63% 67% 66% 65% 65%

IJ IJ M PR

Going to a public area thatis closed to enforce socialdistancing (e.g., parks,beaches)

- - - - - 1284 602 682 336 274 366 309 385 228 629 409 487 389 221 486 279 299 731 554- - - - - 64% 62% 65% 56% 57% 71% 74% 62% 68% 64% 62% 68% 60% 63% 64% 66% 62% 63% 64%

IJ IJ m pR

Congregating with morethan 10 people

- - - - - 1080 523 557 257 241 315 267 310 198 540 349 397 333 173 417 231 259 631 449- - - - - 54% 54% 53% 43% 51% 61% 64% 50% 59% 55% 53% 56% 52% 49% 55% 55% 54% 55% 52%

I IJ IJ M m

Business owners thatrefuse to shut down

- - - - - 737 353 384 177 180 199 182 219 131 365 236 277 224 135 276 161 166 443 294- - - - - 37% 36% 37% 29% 38% 39% 43% 35% 39% 37% 36% 39% 35% 38% 36% 38% 35% 38% 34%

I I I

Not staying 6 feet or moreaway from other people

- - - - - 623 291 332 169 163 151 140 177 98 319 192 234 197 123 224 117 160 376 247- - - - - 31% 30% 32% 28% 34% 29% 33% 28% 29% 32% 29% 33% 31% 35% 29% 28% 33% 33% 29%

i u

Not wearing a mask in apublic space

- - - - - 291 142 150 88 77 65 61 112 46 122 111 58 122 39 127 62 64 146 145- - - - - 14% 15% 14% 15% 16% 13% 15% 18% 14% 12% 17% 8% 19% 11% 17% 15% 13% 13% 17%

O Q Q S W

None of these

- - - - - 5326 2528 2799 1383 1213 1459 1271 1590 935 2623 1714 1968 1644 924 2011 1129 1263 3078 2248- - - - - 265% 261% 268% 230% 255% 283% 303% 254% 277% 267% 260% 277% 255% 262% 264% 268% 264% 267% 262%

Sigma



14 Apr 2020Table 35SOC02 How much do you agree or disagree with each of the following statements?







- - - - - 1457 707 750 406 329 388 334 409 249 749 469 529 458 254 552 295 356 847 609- - - - - 72% 73% 72% 68% 69% 75% 80% 65% 74% 76% 71% 74% 71% 72% 73% 70% 74% 73% 71%

Ij IJ M M

Businesses should havethe right to refusesomeone service if theyare not wearing a facemask.

- - - - - 1343 639 704 398 325 336 284 414 224 655 414 518 410 251 487 273 332 784 559- - - - - 67% 66% 67% 66% 68% 65% 67% 66% 66% 67% 63% 73% 64% 71% 64% 65% 69% 68% 65%

PR t

People should be mandatedto wear masks if they goout in public.

- - - - - 1282 646 636 366 289 333 294 362 209 667 421 473 387 247 466 248 321 749 533- - - - - 64% 67% 61% 61% 61% 65% 70% 58% 62% 68% 64% 67% 60% 70% 61% 59% 67% 65% 62%

H IJ M r TU U

If wearing masks in publicare mandatory, those whodo not wear face masksshould face fines.____________________________________________________________________________________________________________________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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 36SOC02 How much do you agree or disagree with each of the following statements?

Summary Of Strongly/Somewhat Disagree






- - - - - 731 321 410 235 187 183 126 264 128 315 237 238 256 106 295 173 158 404 327- - - - - 36% 33% 39% 39% 39% 35% 30% 42% 38% 32% 36% 33% 40% 30% 39% 41% 33% 35% 38%

G L L O q S SV

If wearing masks in publicare mandatory, those whodo not wear face masksshould face fines.

- - - - - 670 328 342 203 151 179 137 212 113 327 244 193 233 101 274 149 147 370 301- - - - - 33% 34% 33% 34% 32% 35% 33% 34% 34% 33% 37% 27% 36% 29% 36% 35% 31% 32% 35%

Q Q s

People should be mandatedto wear masks if they goout in public.

- - - - - 556 260 296 195 147 128 86 218 88 233 189 182 185 98 209 126 123 306 250- - - - - 28% 27% 28% 32% 31% 25% 20% 35% 26% 24% 29% 26% 29% 28% 27% 30% 26% 27% 29%

KL kL NO

Businesses should have theright to refuse someoneservice if they are notwearing a face mask.____________________________________________________________________________________________________________________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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 37SOC02_1 How much do you agree or disagree with each of the following statements?

People should be mandated to wear masks if they go out in public.






- - - - - 1343 639 704 398 325 336 284 414 224 655 414 518 410 251 487 273 332 784 559- - - - - 67% 66% 67% 66% 68% 65% 67% 66% 66% 67% 63% 73% 64% 71% 64% 65% 69% 68% 65%

PR t


- - - - - 711 332 378 209 181 180 141 205 104 370 222 276 212 137 262 131 181 421 290- - - - - 35% 34% 36% 35% 38% 35% 34% 33% 31% 38% 34% 39% 33% 39% 34% 31% 38% 36% 34%

mn r u u

Strongly agree

- - - - - 632 306 325 189 143 157 142 209 120 285 192 242 198 114 225 142 151 363 269- - - - - 31% 32% 31% 31% 30% 30% 34% 33% 36% 29% 29% 34% 31% 32% 30% 34% 31% 31% 31%

o

Somewhat agree

- - - - - 670 328 342 203 151 179 137 212 113 327 244 193 233 101 274 149 147 370 301- - - - - 33% 34% 33% 34% 32% 35% 33% 34% 34% 33% 37% 27% 36% 29% 36% 35% 31% 32% 35%

Q Q s


- - - - - 434 214 220 135 89 112 98 124 71 233 158 129 147 62 170 101 100 240 194- - - - - 22% 22% 21% 22% 19% 22% 23% 20% 21% 24% 24% 18% 23% 18% 22% 24% 21% 21% 23%

Q q s

Somewhat disagree

- - - - - 236 114 122 68 62 67 39 88 42 95 87 64 86 39 104 47 47 130 107- - - - - 12% 12% 12% 11% 13% 13% 9% 14% 13% 10% 13% 9% 13% 11% 14% 11% 10% 11% 12%

O q Q

Strongly disagree

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




If wearing masks in public are mandatory, those who do not wear face masks should face fines.






- - - - - 1282 646 636 366 289 333 294 362 209 667 421 473 387 247 466 248 321 749 533- - - - - 64% 67% 61% 61% 61% 65% 70% 58% 62% 68% 64% 67% 60% 70% 61% 59% 67% 65% 62%

H IJ M r TU U


- - - - - 627 302 325 162 146 177 142 169 93 346 204 230 194 128 222 119 159 370 257- - - - - 31% 31% 31% 27% 31% 34% 34% 27% 27% 35% 31% 32% 30% 36% 29% 28% 33% 32% 30%

I i MN tu

Strongly agree

- - - - - 655 344 311 204 144 156 151 193 117 321 218 243 194 119 244 129 163 379 276- - - - - 33% 36% 30% 34% 30% 30% 36% 31% 35% 33% 33% 34% 30% 34% 32% 31% 34% 33% 32%

H

Somewhat agree

- - - - - 731 321 410 235 187 183 126 264 128 315 237 238 256 106 295 173 158 404 327- - - - - 36% 33% 39% 39% 39% 35% 30% 42% 38% 32% 36% 33% 40% 30% 39% 41% 33% 35% 38%

G L L O q S SV


- - - - - 442 193 249 147 98 118 79 151 75 203 144 146 152 65 173 112 92 241 201- - - - - 22% 20% 24% 24% 21% 23% 19% 24% 22% 21% 22% 21% 24% 18% 23% 27% 19% 21% 23%

SV

Somewhat disagree

- - - - - 290 128 161 88 89 65 48 114 53 111 93 92 105 41 122 61 65 163 126- - - - - 14% 13% 15% 15% 19% 13% 11% 18% 16% 11% 14% 13% 16% 12% 16% 14% 14% 14% 15%

KL O o

Strongly disagree

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Businesses should have the right to refuse someone service if they are not wearing a face mask.






- - - - - 1457 707 750 406 329 388 334 409 249 749 469 529 458 254 552 295 356 847 609- - - - - 72% 73% 72% 68% 69% 75% 80% 65% 74% 76% 71% 74% 71% 72% 73% 70% 74% 73% 71%

Ij IJ M M


- - - - - 763 363 400 204 175 213 171 204 113 419 251 278 234 136 269 151 207 447 316- - - - - 38% 38% 38% 34% 37% 41% 41% 33% 34% 43% 38% 39% 36% 38% 35% 36% 43% 39% 37%

I i MN Tu

Strongly agree

- - - - - 694 344 350 202 154 175 163 205 136 330 218 251 224 118 283 144 149 400 293- - - - - 34% 36% 33% 34% 32% 34% 39% 33% 40% 34% 33% 35% 35% 34% 37% 34% 31% 35% 34%

Mo v

Somewhat agree

- - - - - 556 260 296 195 147 128 86 218 88 233 189 182 185 98 209 126 123 306 250- - - - - 28% 27% 28% 32% 31% 25% 20% 35% 26% 24% 29% 26% 29% 28% 27% 30% 26% 27% 29%

KL kL NO


- - - - - 310 145 165 100 75 75 60 113 54 132 113 112 85 60 114 71 65 173 137- - - - - 15% 15% 16% 17% 16% 15% 14% 18% 16% 13% 17% 16% 13% 17% 15% 17% 14% 15% 16%

O

Somewhat disagree

- - - - - 246 115 131 95 73 52 26 105 34 101 77 69 100 38 95 55 58 133 113- - - - - 12% 12% 13% 16% 15% 10% 6% 17% 10% 10% 12% 10% 16% 11% 12% 13% 12% 12% 13%

KL kL NO Q

Strongly disagree

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 40EMP02 How concerned are you that you may lose your job due to the coronavirus outbreak?

Base: Employed




- - - 1198 1161 1147 588 559 427 375 273 72 392 200 527 388 411 348 236 424 242 245 682 465Unweighted Base-** -** -** 1242 1173 1152 631 521 390 369 305 88* 263 182 678 376 410 365 228 421 245 258 732 419Weighted Base

- - - 692 701 638 344 294 234 231 139 34 154 98 365 206 249 183 116 260 121 141 406 231- - - 56% 60% 55% 55% 56% 60% 63% 46% 38% 59% 54% 54% 55% 61% 50% 51% 62% 49% 55% 55% 55%

f KL KL R SU

Very/SomewhatConcerned (Net)

- - - 347 383 333 185 148 133 126 60 14 77 52 196 107 140 86 61 133 50 88 227 106- - - 28% 33% 29% 29% 28% 34% 34% 20% 15% 29% 29% 29% 28% 34% 24% 27% 32% 21% 34% 31% 25%

d KL KL R U U x

Very concerned

- - - 344 318 305 159 146 101 105 79 20 78 46 169 99 109 96 55 127 70 53 180 125- - - 28% 27% 26% 25% 28% 26% 29% 26% 23% 30% 25% 25% 26% 27% 26% 24% 30% 29% 21% 25% 30%

V

Somewhat concerned

- - - 551 471 514 286 227 156 138 166 55 108 84 313 170 161 182 112 161 125 117 326 188- - - 44% 40% 45% 45% 44% 40% 37% 54% 62% 41% 46% 46% 45% 39% 50% 49% 38% 51% 45% 45% 45%

e IJ IJ Q T T

Not At All/Not VeryConcerned (Net)

- - - 258 221 263 158 105 83 76 80 23 65 37 156 85 83 95 64 82 62 55 165 98- - - 21% 19% 23% 25% 20% 21% 21% 26% 26% 25% 20% 23% 22% 20% 26% 28% 19% 25% 21% 23% 23%

e T

Not very concerned

- - - 293 251 251 129 122 73 61 86 31 44 47 157 86 78 87 48 79 62 62 161 90- - - 24% 21% 22% 20% 23% 19% 17% 28% 35% 17% 26% 23% 23% 19% 24% 21% 19% 25% 24% 22% 22%

IJ IJ M M

Not at all concerned

- - - 1242 1173 1152 631 521 390 369 305 88 263 182 678 376 410 365 228 421 245 258 732 419- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 41EMP04 Have you been working from home since the coronavirus pandemic?

Base: Employed




- - - - 1161 1147 588 559 427 375 273 72 392 200 527 388 411 348 236 424 242 245 682 465Unweighted Base-** -** -** -** 1173 1152 631 521 390 369 305 88* 263 182 678 376 410 365 228 421 245 258 732 419Weighted Base

- - - - 726 661 374 287 232 222 174 33 91 80 480 229 246 186 136 236 136 153 458 203- - - - 62% 57% 59% 55% 60% 60% 57% 37% 35% 44% 71% 61% 60% 51% 60% 56% 55% 59% 63% 48%

f L L L m MN R R X

Yes

- - - - 447 491 256 234 157 147 131 56 171 103 198 147 164 180 92 185 109 105 275 216- - - - 38% 43% 41% 45% 40% 40% 43% 63% 65% 56% 29% 39% 40% 49% 40% 44% 45% 41% 37% 52%

e IJK nO O PQ W

No

- - - - 1173 1152 631 521 390 369 305 88 263 182 678 376 410 365 228 421 245 258 732 419- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 42Q9 Do you think your income in 2020 will be lower, higher or about the same as it was in 2019?





- - - 2016 1993 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base-** -** -** 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

- - - 864 816 895 399 496 182 173 276 264 289 151 419 310 293 293 158 340 188 209 532 363- - - 43% 41% 44% 41% 47% 30% 36% 54% 63% 46% 45% 43% 47% 41% 45% 45% 45% 45% 44% 46% 42%

e G i IJ IJK q

About the same

- - - 791 862 826 385 441 273 235 184 134 249 145 405 241 323 263 146 309 179 193 459 368- - - 39% 43% 41% 40% 42% 45% 49% 36% 32% 40% 43% 41% 37% 45% 41% 41% 41% 42% 40% 40% 43%

D KL KL P

Lower

- - - 362 315 291 182 109 145 69 56 22 88 42 159 108 95 88 48 112 54 77 162 129- - - 18% 16% 14% 19% 10% 24% 14% 11% 5% 14% 13% 16% 16% 13% 14% 14% 15% 13% 16% 14% 15%

F H JKL L L

Higher

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 43EMP05 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 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base-** -** -** -** 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

- - - - 946 935 428 507 311 236 208 180 306 161 440 275 355 305 170 353 188 223 543 392- - - - 47% 46% 44% 48% 52% 49% 40% 43% 49% 48% 45% 42% 50% 47% 48% 46% 45% 47% 47% 46%

KL K P

I have been impactedfinancially in some otherway

- - - - 755 805 414 391 216 178 221 190 217 135 433 277 273 255 132 312 155 206 483 322- - - - 38% 40% 43% 37% 36% 37% 43% 45% 35% 40% 44% 42% 38% 40% 37% 41% 37% 43% 42% 37%

h i Ij M

I have not been impactedfinancially

- - - - 752 774 381 394 339 229 151 55 258 125 361 198 305 272 126 305 151 193 431 343- - - - 38% 38% 39% 38% 56% 48% 29% 13% 41% 37% 37% 30% 43% 42% 36% 40% 36% 40% 37% 40%

JKL KL L P P

Sought out new oradditional sources ofincome

- - - - 762 771 365 407 283 240 152 97 227 121 405 223 299 249 131 286 155 200 465 306- - - - 38% 38% 38% 39% 47% 50% 29% 23% 36% 36% 41% 34% 42% 39% 37% 38% 37% 42% 40% 36%

KL KL m P x

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

- - - - 831 626 307 320 215 165 150 96 171 119 323 180 243 204 113 222 138 153 371 256- - - - 42% 31% 32% 31% 36% 35% 29% 23% 27% 35% 33% 27% 34% 32% 32% 29% 33% 32% 32% 30%

F kL L M m P

Lost income partially

- - - - 649 586 292 294 190 179 129 88 171 88 310 188 229 169 98 224 118 146 371 215- - - - 33% 29% 30% 28% 32% 38% 25% 21% 27% 26% 32% 28% 32% 26% 28% 29% 28% 31% 32% 25%

f kL iKL r X

Stopped or cut back onretirement savings

- - - - 560 581 307 274 218 166 123 74 142 86 339 184 235 162 122 209 95 155 403 178- - - - 28% 29% 32% 26% 36% 35% 24% 18% 23% 25% 35% 28% 33% 25% 35% 28% 22% 32% 35% 21%

H KL KL l MN R tU U X

Provided financial supportfor a family member

- - - - 537 537 272 265 207 174 106 50 201 81 239 159 201 177 95 226 84 132 340 197- - - - 27% 27% 28% 25% 34% 36% 21% 12% 32% 24% 24% 24% 28% 28% 27% 30% 20% 28% 29% 23%

KL KL L NO u U U X

Accumulated more debtthan normal

- - - - 543 488 237 251 180 182 91 35 209 71 193 148 181 159 100 199 89 100 317 171- - - - 27% 24% 24% 24% 30% 38% 18% 8% 33% 21% 20% 22% 25% 25% 28% 26% 21% 21% 27% 20%

f KL IKL L NO uv X

Missed (or will soon miss)a bill payment

- - - - 387 372 210 162 173 124 52 23 146 43 170 108 149 115 76 140 63 93 245 127- - - - 19% 18% 22% 16% 29% 26% 10% 6% 23% 13% 17% 16% 21% 18% 22% 18% 15% 19% 21% 15%

H KL KL l NO p U X

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

- - - - 383 360 220 139 164 120 54 22 95 32 225 114 144 102 71 128 67 94 240 120- - - - 19% 18% 23% 13% 27% 25% 10% 5% 15% 10% 23% 17% 20% 16% 20% 17% 16% 20% 21% 14%

H KL KL L N MN X

Provided financial supportfor a friend

- - - - 325 328 215 113 158 101 47 22 71 31 215 125 111 92 68 120 57 83 230 98- - - - 16% 16% 22% 11% 26% 21% 9% 5% 11% 9% 22% 19% 16% 14% 19% 16% 14% 17% 20% 11%

H KL KL MN r u X

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

- - - - 378 268 134 133 128 94 40 7 121 32 110 82 98 89 40 111 50 67 144 123- - - - 19% 13% 14% 13% 21% 20% 8% 2% 19% 10% 11% 12% 14% 14% 11% 15% 12% 14% 13% 14%

F KL KL L NO

Lost income entirely



14 Apr 2020Table 44EMP05_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






- - - - 387 372 210 162 173 124 52 23 146 43 170 108 149 115 76 140 63 93 245 127- - - - 19% 18% 22% 16% 29% 26% 10% 6% 23% 13% 17% 16% 21% 18% 22% 18% 15% 19% 21% 15%

H KL KL l NO p U X

Yes

- - - - 1606 1641 757 884 428 353 463 397 481 294 812 550 562 529 276 621 358 386 908 733- - - - 81% 82% 78% 84% 71% 74% 90% 94% 77% 87% 83% 84% 79% 82% 78% 82% 85% 81% 79% 85%

G IJ IJk M M q S W

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 543 488 237 251 180 182 91 35 209 71 193 148 181 159 100 199 89 100 317 171- - - - 27% 24% 24% 24% 30% 38% 18% 8% 33% 21% 20% 22% 25% 25% 28% 26% 21% 21% 27% 20%

f KL IKL L NO uv X

Yes

- - - - 1450 1525 730 795 421 294 425 385 418 266 789 510 531 484 252 562 332 379 837 689- - - - 73% 76% 76% 76% 70% 62% 82% 92% 67% 79% 80% 78% 75% 75% 72% 74% 79% 79% 73% 80%

e J IJ IJK M M s s W

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 560 581 307 274 218 166 123 74 142 86 339 184 235 162 122 209 95 155 403 178- - - - 28% 29% 32% 26% 36% 35% 24% 18% 23% 25% 35% 28% 33% 25% 35% 28% 22% 32% 35% 21%

H KL KL l MN R tU U X

Yes

- - - - 1433 1432 660 772 383 311 393 346 484 252 643 474 476 482 230 551 326 324 750 682- - - - 72% 71% 68% 74% 64% 65% 76% 82% 77% 75% 65% 72% 67% 75% 65% 72% 78% 68% 65% 79%

G IJ IJk O O Q s SV W

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 383 360 220 139 164 120 54 22 95 32 225 114 144 102 71 128 67 94 240 120- - - - 19% 18% 23% 13% 27% 25% 10% 5% 15% 10% 23% 17% 20% 16% 20% 17% 16% 20% 21% 14%

H KL KL L N MN X

Yes

- - - - 1610 1653 747 907 437 356 462 399 531 305 757 544 567 542 281 633 354 385 914 739- - - - 81% 82% 77% 87% 73% 75% 90% 95% 85% 90% 77% 83% 80% 84% 80% 83% 84% 80% 79% 86%

G IJ IJK O MO W

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 752 774 381 394 339 229 151 55 258 125 361 198 305 272 126 305 151 193 431 343- - - - 38% 38% 39% 38% 56% 48% 29% 13% 41% 37% 37% 30% 43% 42% 36% 40% 36% 40% 37% 40%

JKL KL L P P

Yes

- - - - 1241 1239 586 652 262 247 365 365 368 212 622 460 406 372 226 456 270 286 722 516- - - - 62% 62% 61% 62% 44% 52% 71% 87% 59% 63% 63% 70% 57% 58% 64% 60% 64% 60% 63% 60%

I IJ IJK QR

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost income partially






- - - - 831 626 307 320 215 165 150 96 171 119 323 180 243 204 113 222 138 153 371 256- - - - 42% 31% 32% 31% 36% 35% 29% 23% 27% 35% 33% 27% 34% 32% 32% 29% 33% 32% 32% 30%

F kL L M m P

Yes

- - - - 1162 1387 660 727 386 311 366 324 455 218 659 478 469 440 239 539 283 326 783 604- - - - 58% 69% 68% 69% 64% 65% 71% 77% 73% 65% 67% 73% 66% 68% 68% 71% 67% 68% 68% 70%

E i IJ No Q

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost income entirely






- - - - 378 268 134 133 128 94 40 7 121 32 110 82 98 89 40 111 50 67 144 123- - - - 19% 13% 14% 13% 21% 20% 8% 2% 19% 10% 11% 12% 14% 14% 11% 15% 12% 14% 13% 14%

F KL KL L NO

Yes

- - - - 1615 1745 832 913 473 382 476 414 505 305 872 577 613 555 312 650 371 412 1009 736- - - - 81% 87% 86% 87% 79% 80% 92% 98% 81% 90% 89% 88% 86% 86% 89% 85% 88% 86% 87% 86%

E IJ IJK M M

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 537 537 272 265 207 174 106 50 201 81 239 159 201 177 95 226 84 132 340 197- - - - 27% 27% 28% 25% 34% 36% 21% 12% 32% 24% 24% 24% 28% 28% 27% 30% 20% 28% 29% 23%

KL KL L NO u U U X

Yes

- - - - 1456 1476 695 781 394 303 410 370 425 256 744 499 510 466 257 535 337 347 813 662- - - - 73% 73% 72% 75% 66% 64% 79% 88% 68% 76% 76% 76% 72% 72% 73% 70% 80% 72% 71% 77%

IJ IJK M M sTV W

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 649 586 292 294 190 179 129 88 171 88 310 188 229 169 98 224 118 146 371 215- - - - 33% 29% 30% 28% 32% 38% 25% 21% 27% 26% 32% 28% 32% 26% 28% 29% 28% 31% 32% 25%

f kL iKL r X

Yes

- - - - 1344 1427 675 752 411 297 387 332 455 249 672 471 482 474 254 537 303 332 783 644- - - - 67% 71% 70% 72% 68% 62% 75% 79% 73% 74% 68% 72% 68% 74% 72% 71% 72% 69% 68% 75%

e j iJ IJ q W

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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)






- - - - 762 771 365 407 283 240 152 97 227 121 405 223 299 249 131 286 155 200 465 306- - - - 38% 38% 38% 39% 47% 50% 29% 23% 36% 36% 41% 34% 42% 39% 37% 38% 37% 42% 40% 36%

KL KL m P x

Yes

- - - - 1231 1242 602 639 318 236 364 323 399 216 577 435 412 395 222 475 266 279 688 554- - - - 62% 62% 62% 61% 53% 50% 71% 77% 64% 64% 59% 66% 58% 61% 63% 62% 63% 58% 60% 64%

IJ IJ o Q w

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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)






- - - - 325 328 215 113 158 101 47 22 71 31 215 125 111 92 68 120 57 83 230 98- - - - 16% 16% 22% 11% 26% 21% 9% 5% 11% 9% 22% 19% 16% 14% 19% 16% 14% 17% 20% 11%

H KL KL MN r u X

Yes

- - - - 1668 1685 752 933 443 375 469 398 555 307 767 533 600 552 284 640 364 396 924 761- - - - 84% 84% 78% 89% 74% 79% 91% 95% 89% 91% 78% 81% 84% 86% 81% 84% 86% 83% 80% 89%

G IJ IJ O O p s W

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 946 935 428 507 311 236 208 180 306 161 440 275 355 305 170 353 188 223 543 392- - - - 47% 46% 44% 48% 52% 49% 40% 43% 49% 48% 45% 42% 50% 47% 48% 46% 45% 47% 47% 46%

KL K P

Yes

- - - - 1047 1078 539 539 290 240 308 240 320 177 542 383 356 339 182 408 233 256 611 468- - - - 53% 54% 56% 52% 48% 51% 60% 57% 51% 52% 55% 58% 50% 53% 52% 54% 55% 53% 53% 54%

IJ I Q

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 755 805 414 391 216 178 221 190 217 135 433 277 273 255 132 312 155 206 483 322- - - - 38% 40% 43% 37% 36% 37% 43% 45% 35% 40% 44% 42% 38% 40% 37% 41% 37% 43% 42% 37%

h i Ij M

Yes

- - - - 1238 1208 553 655 385 298 295 230 409 203 549 381 438 388 220 448 266 273 670 538- - - - 62% 60% 57% 63% 64% 63% 57% 55% 65% 60% 56% 58% 62% 60% 63% 59% 63% 57% 58% 63%

g kL l O

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 57EMP06 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 52 158 56 67 51 35 134 33 39 47 76 87 20 88 48 55 119 91- - - - 11% 10% 5% 15% 9% 14% 10% 8% 21% 10% 4% 7% 11% 14% 6% 12% 11% 11% 10% 11%

G IL NO O p P S S S

Would not be able to liveon amount saved

- - - - 245 255 92 164 85 69 62 40 124 60 64 71 90 94 43 100 42 71 136 120- - - - 12% 13% 9% 16% 14% 14% 12% 9% 20% 18% 7% 11% 13% 15% 12% 13% 10% 15% 12% 14%

G l l O O u

1

- - - - 257 252 116 136 105 68 56 23 85 54 100 78 91 84 38 108 58 47 138 115- - - - 13% 13% 12% 13% 18% 14% 11% 5% 14% 16% 10% 12% 13% 13% 11% 14% 14% 10% 12% 13%

KL L L o O v

2

- - - - 265 287 162 125 101 93 46 47 98 53 130 96 130 61 55 111 53 68 169 118- - - - 13% 14% 17% 12% 17% 19% 9% 11% 16% 16% 13% 15% 18% 10% 16% 15% 12% 14% 15% 14%

H Kl KL R R

3

- - - - 104 111 62 49 46 27 22 15 22 13 72 44 32 35 28 29 27 27 65 46- - - - 5% 5% 6% 5% 8% 6% 4% 4% 4% 4% 7% 7% 4% 5% 8% 4% 6% 6% 6% 5%

kL Mn T t

4

- - - - 96 80 49 31 47 13 13 7 16 8 56 28 25 27 17 28 7 29 34 46- - - - 5% 4% 5% 3% 8% 3% 3% 2% 2% 2% 6% 4% 3% 4% 5% 4% 2% 6% 3% 5%

h JKL MN U u U W

5

- - - - 232 239 124 115 43 56 94 46 46 34 139 78 87 75 43 92 59 46 142 97- - - - 12% 12% 13% 11% 7% 12% 18% 11% 7% 10% 14% 12% 12% 12% 12% 12% 14% 10% 12% 11%

I IJL M

6

- - - - 141 111 62 49 37 24 25 25 28 14 67 31 39 41 21 36 16 37 63 47- - - - 7% 5% 6% 5% 6% 5% 5% 6% 4% 4% 7% 5% 5% 6% 6% 5% 4% 8% 5% 6%

f m tu

7-11

- - - - 190 185 90 96 46 29 46 65 38 23 117 59 62 65 32 65 46 43 104 81- - - - 10% 9% 9% 9% 8% 6% 9% 16% 6% 7% 12% 9% 9% 10% 9% 9% 11% 9% 9% 9%

IJK MN

A year (12)

- - - - 35 30 16 14 4 3 11 11 4 4 21 9 13 8 2 15 3 10 17 13- - - - 2% 1% 2% 1% 1% 1% 2% 3% 1% 1% 2% 1% 2% 1% 1% 2% 1% 2% 1% 2%

j iJ m

13-18

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

19-23

- - - - 58 88 46 41 9 8 40 31 14 9 63 42 23 23 13 29 31 14 53 35- - - - 3% 4% 5% 4% 1% 2% 8% 7% 2% 3% 6% 6% 3% 4% 4% 4% 7% 3% 5% 4%

e IJ IJ MN Qr sTV

Two years (24)

- - - - 2 17 12 6 6 6 4 1 4 - 13 6 5 7 9 3 3 2 15 2- - - - * 1% 1% 1% 1% 1% 1% * 1% - 1% 1% 1% 1% 3% * 1% * 1% *

E n TuV X

25-29

- - - - 19 14 9 4 4 7 1 1 2 * 12 6 3 4 3 7 1 3 12 2- - - - 1% 1% 1% * 1% 2% * * * * 1% 1% * 1% 1% 1% * 1% 1% *

k m x

30-35

- - - - 125 130 72 58 10 5 44 72 11 32 87 63 35 32 27 48 28 27 84 46- - - - 6% 6% 7% 6% 2% 1% 9% 17% 2% 9% 9% 10% 5% 5% 8% 6% 7% 6% 7% 5%

IJ IJK M M QR

Three years (36)

- - - - 7.4 7.6 8.5 6.7 5.1 4.9 9.1 12.4 4.3 7.3 9.9 9.2 6.7 6.9 8.4 7.3 8.1 7.1 8.1 6.9H IJ IJK M MN QR X

Mean (Incl. 0)

- - - - 9.41 9.68 10.09 9.20 6.49 6.59 10.66 12.56 6.65 10.45 10.57 10.96 8.80 9.00 10.28 9.59 9.92 9.11 10.19 8.91Std. Dev. (Incl. 0)____________________________________________________________________________________________________________________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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 57EMP06 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.





-** -** -** -** 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base- - - - 0.21 0.22 0.34 0.28 0.25 0.29 0.48 0.67 0.22 0.56 0.39 0.42 0.33 0.36 0.53 0.35 0.47 0.43 0.31 0.29Std. Err. (Incl. 0)- - - - 4 4 4 3 3 3 6 6 2 3 6 4 3 3 4 3 4 3 4 3Median (Incl. 0)- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 58EMP07 Which of the following should have to happen before Americans can return to work? Please select all that apply.






- - - - - 1480 688 792 385 330 406 359 432 266 742 492 528 461 255 555 338 332 847 633- - - - - 74% 71% 76% 64% 69% 79% 85% 69% 79% 76% 75% 74% 72% 72% 73% 80% 69% 73% 74%

g IJ IJk M M STV

Number of cases go down

- - - - - 1359 633 726 353 299 366 340 402 235 680 427 526 406 225 513 288 332 773 586- - - - - 67% 65% 69% 59% 63% 71% 81% 64% 70% 69% 65% 74% 63% 64% 67% 68% 69% 67% 68%

IJ IJK m PR

Proper testing place (e.g.,adequate access to teststhat are fast and accurate)

- - - - - 1153 567 586 380 264 279 230 346 194 571 373 457 323 207 422 238 286 673 480- - - - - 57% 59% 56% 63% 55% 54% 55% 55% 57% 58% 57% 64% 50% 59% 56% 57% 60% 58% 56%

JKL r PR

A COVID-19 vaccine hasbeen created

- - - - - 93 44 49 36 20 24 13 33 5 51 26 20 47 21 41 16 15 46 48- - - - - 5% 5% 5% 6% 4% 5% 3% 5% 2% 5% 4% 3% 7% 6% 5% 4% 3% 4% 6%

l N N PQ

Other

- - - - - 118 54 64 36 35 29 17 54 18 35 43 23 51 15 50 24 28 57 60- - - - - 6% 6% 6% 6% 7% 6% 4% 9% 5% 4% 7% 3% 8% 4% 7% 6% 6% 5% 7%

nO Q Q

None of these - Americansshould return to work assoon as possible

- - - - - 4203 1985 2218 1191 948 1105 959 1268 718 2080 1361 1554 1288 723 1582 904 993 2396 1807- - - - - 209% 205% 212% 198% 199% 214% 228% 202% 213% 212% 207% 219% 200% 205% 208% 215% 207% 208% 210%

Sigma



14 Apr 2020Table 59ECN01 Are you aware that the deadline to file taxes has been extended?






- - - - - 1781 843 938 484 413 485 398 534 304 890 598 628 555 315 676 376 413 1033 748- - - - - 88% 87% 90% 81% 87% 94% 95% 85% 90% 91% 91% 88% 86% 89% 89% 89% 86% 90% 87%

I IJ IJ m M R

Yes

- - - - - 232 124 108 117 63 30 22 92 33 93 60 83 89 37 84 45 66 120 112- - - - - 12% 13% 10% 19% 13% 6% 5% 15% 10% 9% 9% 12% 14% 11% 11% 11% 14% 10% 13%

JKL KL nO P

No

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 60ECN02 Will you be taking advantage of the extended tax deadline due to COVID-19?






- - - - - 858 445 414 305 218 194 141 231 133 474 272 320 266 170 321 143 224 517 342- - - - - 43% 46% 40% 51% 46% 38% 34% 37% 39% 48% 41% 45% 41% 48% 42% 34% 47% 45% 40%

H KL KL MN U U U x

Yes

- - - - - 1155 522 632 296 258 321 279 395 204 508 386 391 378 182 440 278 255 637 518- - - - - 57% 54% 60% 49% 54% 62% 66% 63% 61% 52% 59% 55% 59% 52% 58% 66% 53% 55% 60%

G IJ IJ O O STV w

No

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 61ECN03 Which of the following benefits related to last month’s stimulus package have you experienced? Please select all that

apply.






- - - - - 289 195 93 123 102 45 18 53 27 196 112 117 60 62 94 52 80 205 83- - - - - 14% 20% 9% 20% 22% 9% 4% 9% 8% 20% 17% 16% 9% 18% 12% 12% 17% 18% 10%

H KL KL L MN R R tu t X

I received a check fromthe government

- - - - - 210 140 70 108 68 25 9 39 25 144 84 81 45 63 63 37 47 154 55- - - - - 10% 14% 7% 18% 14% 5% 2% 6% 7% 15% 13% 11% 7% 18% 8% 9% 10% 13% 6%

H KL KL MN R R TUV X

I received additionalunemployment benefits

- - - - - 86 49 37 43 17 17 9 33 6 39 28 19 39 17 36 14 18 43 42- - - - - 4% 5% 4% 7% 4% 3% 2% 5% 2% 4% 4% 3% 6% 5% 5% 3% 4% 4% 5%

JKL N Q

Other

- - - - - 1520 655 865 371 321 440 388 510 286 677 478 526 516 230 596 334 360 823 697- - - - - 76% 68% 83% 62% 67% 85% 92% 81% 85% 69% 73% 74% 80% 65% 78% 79% 75% 71% 81%

G IJ IJK O O PQ S S S W

N/A - I have not receivedany benefits related to lastmonth’s stimulus package

- - - - - 2104 1039 1065 645 508 528 423 635 345 1056 701 743 660 373 789 437 505 1226 878- - - - - 105% 107% 102% 107% 107% 102% 101% 101% 102% 108% 107% 105% 102% 106% 104% 104% 105% 106% 102%

Sigma



14 Apr 2020Table 62ECN04 Should large national retailers be allowed to postpone rent payments if they cannot afford it due to the coronavirus,

even if they remain open for business?






- - - - - 1535 739 796 478 380 371 305 473 254 764 499 559 477 270 580 310 376 898 637- - - - - 76% 76% 76% 80% 80% 72% 73% 76% 75% 78% 76% 79% 74% 77% 76% 74% 78% 78% 74%

Kl Kl

Yes

- - - - - 478 228 250 123 96 144 115 153 83 219 160 152 166 83 181 111 103 256 223- - - - - 24% 24% 24% 20% 20% 28% 27% 24% 25% 22% 24% 21% 26% 23% 24% 26% 22% 22% 26%

IJ ij

No

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 63ECN05 Are you withdrawing from your 401K early because of new rules (i.e., from the Treasury and the President)/COVID-19?






- - - - - 232 163 69 98 86 35 14 36 25 170 93 94 45 59 88 28 57 170 62- - - - - 12% 17% 7% 16% 18% 7% 3% 6% 7% 17% 14% 13% 7% 17% 12% 7% 12% 15% 7%

H KL KL l MN R R tU U U X

Yes

- - - - - 1075 524 551 261 249 327 238 220 188 647 373 388 314 186 398 245 246 652 423- - - - - 53% 54% 53% 43% 52% 63% 57% 35% 56% 66% 57% 55% 49% 53% 52% 58% 51% 56% 49%

I IJ I M MN R r X

No

- - - - - 706 280 426 243 141 154 169 370 124 166 192 229 285 107 275 147 176 332 374- - - - - 35% 29% 41% 40% 30% 30% 40% 59% 37% 17% 29% 32% 44% 31% 36% 35% 37% 29% 44%

G JK JK NO O PQ W

N/A - I do not have a 401k

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 64ECN06 How much do you agree or disagree with the statement that mandated mass social distancing requirements need to be

rescinded (i.e., withdrawn) in order to restart the economy?






- - - - - 995 515 479 347 294 225 128 326 155 476 348 339 307 210 368 189 227 580 415- - - - - 49% 53% 46% 58% 62% 44% 31% 52% 46% 48% 53% 48% 48% 60% 48% 45% 47% 50% 48%

H KL KL L TUV


- - - - - 389 189 200 132 131 89 37 130 57 184 136 138 114 70 146 73 100 239 150- - - - - 19% 20% 19% 22% 27% 17% 9% 21% 17% 19% 21% 19% 18% 20% 19% 17% 21% 21% 17%

L iKL L

Strongly agree

- - - - - 606 326 280 215 163 136 91 196 98 292 212 200 193 140 222 116 127 341 265- - - - - 30% 34% 27% 36% 34% 26% 22% 31% 29% 30% 32% 28% 30% 40% 29% 28% 27% 30% 31%

H KL KL TUV

Somewhat agree

- - - - - 1018 452 567 254 182 291 292 300 183 506 310 372 336 142 393 232 252 574 445- - - - - 51% 47% 54% 42% 38% 56% 69% 48% 54% 52% 47% 52% 52% 40% 52% 55% 53% 50% 52%

G IJ IJK S S S


- - - - - 525 236 289 150 99 137 139 157 92 266 166 173 185 69 220 117 119 290 235- - - - - 26% 24% 28% 25% 21% 27% 33% 25% 27% 27% 25% 24% 29% 20% 29% 28% 25% 25% 27%

j IJ S S

Somewhat disagree

- - - - - 494 216 278 104 83 154 152 143 91 240 144 199 151 73 173 115 133 284 210- - - - - 25% 22% 27% 17% 17% 30% 36% 23% 27% 24% 22% 28% 23% 21% 23% 27% 28% 25% 24%

g IJ IJ P s s

Strongly disagree

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 65REV01 Are you planning any major purchases once things return to normal and businesses re-open? Please select all that apply.






- - - 479 616 567 280 287 190 139 133 105 106 90 363 198 200 169 110 208 103 146 368 199- - - 24% 31% 28% 29% 27% 32% 29% 26% 25% 17% 27% 37% 30% 28% 26% 31% 27% 24% 31% 32% 23%

D D kl M MN u X

Going onvacation/travelling

- - - 386 533 418 201 217 189 124 61 44 122 58 226 118 186 113 85 148 76 109 262 156- - - 19% 27% 21% 21% 21% 31% 26% 12% 11% 19% 17% 23% 18% 26% 18% 24% 19% 18% 23% 23% 18%

DF KL KL n PR X

Buying new clothes

- - - 338 389 367 192 175 145 117 69 36 89 50 220 126 135 106 83 134 72 78 239 128- - - 17% 19% 18% 20% 17% 24% 25% 13% 9% 14% 15% 22% 19% 19% 16% 24% 18% 17% 16% 21% 15%

d KL KL l MN tuV X

Buying new householdgoods, furniture orappliances

- - - 237 316 304 169 135 131 73 58 42 51 46 199 109 121 75 66 93 54 91 191 113- - - 12% 16% 15% 17% 13% 22% 15% 11% 10% 8% 14% 20% 17% 17% 12% 19% 12% 13% 19% 17% 13%

D D H JKL l M MN R R Tu Tu x

Attending a concert orsporting event

- - - 219 320 297 179 118 98 87 73 39 66 30 196 98 108 91 60 114 58 64 207 91- - - 11% 16% 15% 19% 11% 16% 18% 14% 9% 11% 9% 20% 15% 15% 14% 17% 15% 14% 13% 18% 11%

D D H L L l MN X

Buying a car

- - - 238 326 289 166 122 116 101 44 27 57 34 189 92 120 77 57 93 59 80 196 93- - - 12% 16% 14% 17% 12% 19% 21% 9% 6% 9% 10% 19% 14% 17% 12% 16% 12% 14% 17% 17% 11%

D d H KL KL MN R t X

Buying gifts for myfriends/family

- - - 74 89 54 26 29 22 7 10 15 25 9 18 13 21 20 11 23 10 11 24 31- - - 4% 4% 3% 3% 3% 4% 1% 2% 4% 4% 3% 2% 2% 3% 3% 3% 3% 2% 2% 2% 4%

F j j O

Other major purchase

- - - 1020 818 891 397 494 194 190 264 243 342 172 334 288 307 296 125 364 199 203 467 425- - - 51% 41% 44% 41% 47% 32% 40% 51% 58% 55% 51% 34% 44% 43% 46% 36% 48% 47% 42% 40% 49%

EF G I IJ IJ O O S S W

Not planning a purchase

- - - 2991 3406 3187 1609 1578 1086 837 713 552 857 490 1746 1042 1199 946 597 1176 631 783 1953 1234- - - 148% 171% 158% 166% 151% 181% 176% 138% 131% 137% 145% 178% 158% 169% 147% 170% 155% 150% 163% 169% 144%

Sigma



14 Apr 2020Table 66REV02 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 501 582 359 306 246 172 320 202 538 324 438 321 195 399 222 268 635 449- - - 59% 56% 54% 52% 56% 60% 64% 48% 41% 51% 60% 55% 49% 62% 50% 55% 52% 53% 56% 55% 52%

F KL KL M PR

Keep more money insavings

- - - 643 652 697 304 393 217 184 159 137 217 133 330 228 247 223 109 271 141 176 407 290- - - 32% 33% 35% 31% 38% 36% 39% 31% 33% 35% 39% 34% 35% 35% 35% 31% 36% 34% 37% 35% 34%

G K

Stockpile unperishablefoods

- - - 372 352 375 211 165 177 126 45 27 108 54 206 115 158 102 81 124 77 94 237 139- - - 18% 18% 19% 22% 16% 29% 26% 9% 6% 17% 16% 21% 18% 22% 16% 23% 16% 18% 20% 21% 16%

H KL KL pR T X

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

- - - 220 250 235 147 88 116 70 35 14 66 37 128 80 68 88 32 92 46 65 145 90- - - 11% 13% 12% 15% 8% 19% 15% 7% 3% 11% 11% 13% 12% 10% 14% 9% 12% 11% 14% 13% 10%

H KL KL l q

Purchase a gun

- - - 147 188 170 120 50 68 63 27 12 25 11 130 69 71 30 38 53 40 38 116 54- - - 7% 9% 8% 12% 5% 11% 13% 5% 3% 4% 3% 13% 11% 10% 5% 11% 7% 10% 8% 10% 6%

d H KL KL MN R R t X

Remodel my kitchen

- - - 85 63 54 18 36 7 12 23 13 18 5 28 14 20 19 10 17 5 22 27 27- - - 4% 3% 3% 2% 3% 1% 3% 4% 3% 3% 2% 3% 2% 3% 3% 3% 2% 1% 5% 2% 3%

F g I i tU

Something else

- - - 453 513 554 267 286 102 82 187 183 191 82 248 193 166 195 88 228 117 121 299 255- - - 22% 26% 28% 28% 27% 17% 17% 36% 44% 30% 24% 25% 29% 23% 30% 25% 30% 28% 25% 26% 30%

d D IJ IJk no q Q

None of these

- - - 3101 3136 3169 1568 1601 1047 843 722 558 944 525 1607 1024 1167 979 553 1184 649 783 1865 1304- - - 154% 157% 157% 162% 153% 174% 177% 140% 133% 151% 156% 164% 156% 164% 152% 157% 156% 154% 163% 162% 152%

Sigma



14 Apr 2020Table 67Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Concerned





2050 2019 2023 - 1993 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base2050 2019 2023 -** 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

1730 1705 1845 - 1820 1787 855 932 488 437 467 395 543 309 878 594 647 546 308 680 371 428 1041 74684% 84% 91% - 91% 89% 88% 89% 81% 92% 91% 94% 87% 91% 89% 90% 91% 85% 87% 89% 88% 89% 90% 87%

ABF ABF AB I I I M R R x

The American economy

1771 1747 1827 - 1800 1778 844 933 487 433 465 392 544 315 859 561 655 561 312 679 376 410 1033 74586% 87% 90% - 90% 88% 87% 89% 81% 91% 90% 93% 87% 93% 87% 85% 92% 87% 89% 89% 89% 86% 90% 87%

AB AB I I I MO PR

The health of your olderfriends and relatives

1616 1647 1759 - 1743 1677 778 899 434 420 452 371 502 287 831 542 625 510 283 650 351 394 989 68879% 82% 87% - 87% 83% 80% 86% 72% 88% 88% 88% 80% 85% 85% 82% 88% 79% 80% 85% 83% 82% 86% 80%

a ABF ABF A G I I I m PR s X

The health of the broaderAmerican populace

1330 1336 1523 - 1543 1504 702 802 411 368 397 328 463 261 724 476 565 464 269 576 302 357 873 63165% 66% 75% - 77% 75% 73% 77% 68% 77% 77% 78% 74% 77% 74% 72% 79% 72% 76% 76% 72% 74% 76% 73%

AB AB AB g I I I PR

Your personal health

- - - - 1494 1469 680 789 422 388 370 289 463 258 692 472 546 451 256 556 307 350 858 611- - - - 75% 73% 70% 75% 70% 82% 72% 69% 74% 76% 70% 72% 77% 70% 73% 73% 73% 73% 74% 71%

G IKL o pR

Your personal finances



14 Apr 2020Table 68Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Not At All/Not Very Concerned






- - - - 499 544 287 257 179 88 146 131 163 79 290 186 165 193 97 205 114 129 296 248- - - - 25% 27% 30% 25% 30% 18% 28% 31% 26% 24% 30% 28% 23% 30% 27% 27% 27% 27% 26% 29%

H J J J n q Q


720 683 500 - 450 509 265 244 190 108 119 92 163 76 259 182 146 180 83 184 119 122 280 22935% 34% 25% - 23% 25% 27% 23% 32% 23% 23% 22% 26% 23% 26% 28% 21% 28% 24% 24% 28% 26% 24% 27%

CEF CEF h JKL Q Q


434 372 264 - 250 336 189 147 167 56 64 49 124 51 151 116 86 134 69 111 70 85 165 17121% 18% 13% - 13% 17% 20% 14% 28% 12% 12% 12% 20% 15% 15% 18% 12% 21% 20% 15% 17% 18% 14% 20%

bCEF CE CE H JKL o Q Q t W

The health of the broaderAmerican populace

279 272 196 - 193 235 123 113 114 43 51 28 82 22 124 97 56 83 40 82 45 69 120 11514% 13% 10% - 10% 12% 13% 11% 19% 9% 10% 7% 13% 7% 13% 15% 8% 13% 11% 11% 11% 14% 10% 13%CE CE JKL N N Q Q

The health of your olderfriends and relatives

320 314 178 - 173 226 112 114 113 39 49 25 83 29 104 64 64 97 44 81 50 51 113 11316% 16% 9% - 9% 11% 12% 11% 19% 8% 9% 6% 13% 9% 11% 10% 9% 15% 13% 11% 12% 11% 10% 13%

CEF CEF CE JKL N PQ w




14 Apr 2020Table 69Q15_1 How concerned are you about the impact coronavirus (COVID-19) has on the following?







1330 1336 1523 - 1543 1504 702 802 411 368 397 328 463 261 724 476 565 464 269 576 302 357 873 63165% 66% 75% - 77% 75% 73% 77% 68% 77% 77% 78% 74% 77% 74% 72% 79% 72% 76% 76% 72% 74% 76% 73%

AB AB AB g I I I PR


624 660 800 - 862 801 350 451 224 221 187 168 249 138 390 251 325 225 152 306 152 191 497 30430% 33% 40% - 43% 40% 36% 43% 37% 46% 36% 40% 40% 41% 40% 38% 46% 35% 43% 40% 36% 40% 43% 35%

AB ABcf AB G IK PR u X

Very concerned

706 676 723 - 681 703 352 351 187 147 210 160 215 123 334 225 240 239 117 270 150 166 376 32734% 33% 36% - 34% 35% 36% 34% 31% 31% 41% 38% 34% 36% 34% 34% 34% 37% 33% 36% 36% 35% 33% 38%

IJ ij W

Somewhat concerned

720 683 500 - 450 509 265 244 190 108 119 92 163 76 259 182 146 180 83 184 119 122 280 22935% 34% 25% - 23% 25% 27% 23% 32% 23% 23% 22% 26% 23% 26% 28% 21% 28% 24% 24% 28% 26% 24% 27%

CEF CEF h JKL Q Q


535 487 359 - 331 372 198 174 133 67 94 79 105 56 204 133 109 129 69 135 84 85 215 15726% 24% 18% - 17% 18% 20% 17% 22% 14% 18% 19% 17% 17% 21% 20% 15% 20% 20% 18% 20% 18% 19% 18%

CEF CEF h J m q q

Not very concerned

186 197 141 - 119 137 67 70 57 41 25 14 58 20 54 49 37 51 14 50 35 38 65 729% 10% 7% - 6% 7% 7% 7% 10% 9% 5% 3% 9% 6% 6% 7% 5% 8% 4% 7% 8% 8% 6% 8%

cEF CEF KL KL O S s w


2050 2019 2023 - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 844 933 487 433 465 392 544 315 859 561 655 561 312 679 376 410 1033 74586% 87% 90% - 90% 88% 87% 89% 81% 91% 90% 93% 87% 93% 87% 85% 92% 87% 89% 89% 89% 86% 90% 87%

AB AB I I I MO PR


1034 1089 1251 - 1211 1124 478 646 304 287 297 236 345 193 542 337 456 331 191 418 241 274 670 45450% 54% 62% - 61% 56% 49% 62% 51% 60% 58% 56% 55% 57% 55% 51% 64% 51% 54% 55% 57% 57% 58% 53%

a ABF ABF A G I i PR x

Very concerned

737 658 576 - 588 654 366 288 183 146 168 156 200 123 316 225 199 230 121 261 135 136 363 29036% 33% 28% - 30% 32% 38% 28% 30% 31% 33% 37% 32% 36% 32% 34% 28% 36% 34% 34% 32% 28% 31% 34%

bCEf C C H i q Q v

Somewhat concerned

279 272 196 - 193 235 123 113 114 43 51 28 82 22 124 97 56 83 40 82 45 69 120 11514% 13% 10% - 10% 12% 13% 11% 19% 9% 10% 7% 13% 7% 13% 15% 8% 13% 11% 11% 11% 14% 10% 13%CE CE JKL N N Q Q


183 176 129 - 136 173 93 80 85 27 38 23 54 16 98 72 36 65 32 51 38 52 84 899% 9% 6% - 7% 9% 10% 8% 14% 6% 7% 6% 9% 5% 10% 11% 5% 10% 9% 7% 9% 11% 7% 10%

Ce Ce Ce JKL n N Q Q T w

Not very concerned

96 95 67 - 57 62 29 33 29 16 13 4 29 6 26 25 19 18 8 31 7 17 36 265% 5% 3% - 3% 3% 3% 3% 5% 3% 3% 1% 5% 2% 3% 4% 3% 3% 2% 4% 2% 4% 3% 3%

cEF cEF L l No u


2050 2019 2023 - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 778 899 434 420 452 371 502 287 831 542 625 510 283 650 351 394 989 68879% 82% 87% - 87% 83% 80% 86% 72% 88% 88% 88% 80% 85% 85% 82% 88% 79% 80% 85% 83% 82% 86% 80%

a ABF ABF A G I I I m PR s X


690 774 998 - 1011 878 391 487 214 218 240 205 253 135 455 269 357 251 155 346 180 197 539 33934% 38% 49% - 51% 44% 40% 47% 36% 46% 47% 49% 40% 40% 46% 41% 50% 39% 44% 45% 43% 41% 47% 39%

A ABF ABF AB G I I I m PR X

Very concerned

926 872 761 - 733 799 387 412 220 202 212 165 249 152 376 273 268 259 128 303 171 197 450 34945% 43% 38% - 37% 40% 40% 39% 37% 42% 41% 39% 40% 45% 38% 41% 38% 40% 36% 40% 41% 41% 39% 41%

CEF CEf o

Somewhat concerned

434 372 264 - 250 336 189 147 167 56 64 49 124 51 151 116 86 134 69 111 70 85 165 17121% 18% 13% - 13% 17% 20% 14% 28% 12% 12% 12% 20% 15% 15% 18% 12% 21% 20% 15% 17% 18% 14% 20%

bCEF CE CE H JKL o Q Q t W


314 252 198 - 176 237 133 104 116 40 43 38 86 37 110 76 63 98 63 73 46 56 123 11415% 12% 10% - 9% 12% 14% 10% 19% 8% 8% 9% 14% 11% 11% 12% 9% 15% 18% 10% 11% 12% 11% 13%

BCEF CE E H JKL Q TUV

Not very concerned

120 120 65 - 74 99 56 43 51 16 20 12 38 14 41 40 24 36 6 39 25 30 42 576% 6% 3% - 4% 5% 6% 4% 8% 3% 4% 3% 6% 4% 4% 6% 3% 6% 2% 5% 6% 6% 4% 7%

CE CE C JKL q S S S W


2050 2019 2023 - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 855 932 488 437 467 395 543 309 878 594 647 546 308 680 371 428 1041 74684% 84% 91% - 91% 89% 88% 89% 81% 92% 91% 94% 87% 91% 89% 90% 91% 85% 87% 89% 88% 89% 90% 87%

ABF ABF AB I I I M R R x


893 986 1287 - 1251 1184 540 644 275 309 324 276 332 207 607 396 428 360 202 458 244 280 717 46744% 49% 64% - 63% 59% 56% 62% 46% 65% 63% 66% 53% 61% 62% 60% 60% 56% 57% 60% 58% 58% 62% 54%

A ABF ABF AB G I I I M M X

Very concerned

836 719 558 - 569 603 315 288 213 128 143 119 211 102 271 198 219 187 106 222 127 149 324 27941% 36% 28% - 29% 30% 33% 28% 35% 27% 28% 28% 34% 30% 28% 30% 31% 29% 30% 29% 30% 31% 28% 32%

BCEF CEF h JKl O w

Somewhat concerned

320 314 178 - 173 226 112 114 113 39 49 25 83 29 104 64 64 97 44 81 50 51 113 11316% 16% 9% - 9% 11% 12% 11% 19% 8% 9% 6% 13% 9% 11% 10% 9% 15% 13% 11% 12% 11% 10% 13%

CEF CEF CE JKL N PQ w


225 220 99 - 116 170 91 79 82 26 42 20 56 19 88 46 48 77 34 60 35 41 89 8211% 11% 5% - 6% 8% 9% 8% 14% 5% 8% 5% 9% 6% 9% 7% 7% 12% 10% 8% 8% 9% 8% 10%

CEF CEF CE JKL PQ

Not very concerned

95 94 80 - 57 55 21 35 30 13 7 5 28 9 17 18 17 20 10 21 15 9 24 315% 5% 4% - 3% 3% 2% 3% 5% 3% 1% 1% 4% 3% 2% 3% 2% 3% 3% 3% 4% 2% 2% 4%

EF EF f KL O w


2050 2019 2023 - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - 1494 1469 680 789 422 388 370 289 463 258 692 472 546 451 256 556 307 350 858 611- - - - 75% 73% 70% 75% 70% 82% 72% 69% 74% 76% 70% 72% 77% 70% 73% 73% 73% 73% 74% 71%

G IKL o pR


- - - - 870 772 340 433 243 226 190 114 264 136 343 235 310 226 138 307 154 174 464 308- - - - 44% 38% 35% 41% 40% 47% 37% 27% 42% 40% 35% 36% 44% 35% 39% 40% 36% 36% 40% 36%

F G L iKL L O PR

Very concerned

- - - - 624 697 340 356 179 162 180 175 199 122 349 236 236 224 118 249 154 176 394 303- - - - 31% 35% 35% 34% 30% 34% 35% 42% 32% 36% 35% 36% 33% 35% 33% 33% 37% 37% 34% 35%

e Ij

Somewhat concerned

- - - - 499 544 287 257 179 88 146 131 163 79 290 186 165 193 97 205 114 129 296 248- - - - 25% 27% 30% 25% 30% 18% 28% 31% 26% 24% 30% 28% 23% 30% 27% 27% 27% 27% 26% 29%

H J J J n q Q


- - - - 354 392 205 188 122 60 112 99 115 61 210 126 119 148 80 136 79 98 220 173- - - - 18% 19% 21% 18% 20% 13% 22% 24% 18% 18% 21% 19% 17% 23% 23% 18% 19% 20% 19% 20%

J J J Q

Not very concerned

- - - - 144 152 82 70 57 28 34 33 48 19 81 60 46 45 17 69 35 31 76 76- - - - 7% 8% 9% 7% 9% 6% 7% 8% 8% 6% 8% 9% 6% 7% 5% 9% 8% 6% 7% 9%

j S


- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 74Q16 Do you think you are going to get coronavirus (COVID-19)?





2050 2019 2023 2016 - 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base2050 2019 2023 2016 -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

327 358 398 340 - 335 189 147 115 91 96 33 72 53 206 116 129 90 67 97 76 95 207 12816% 18% 20% 17% - 17% 20% 14% 19% 19% 19% 8% 11% 16% 21% 18% 18% 14% 19% 13% 18% 20% 18% 15%

Adf H L L L Mn T T T

Yes

- - - 104 - 101 47 54 59 23 15 4 34 11 52 31 35 35 21 42 17 20 63 38- - - 5% - 5% 5% 5% 10% 5% 3% 1% 5% 3% 5% 5% 5% 5% 6% 6% 4% 4% 5% 4%

ABC ABC JKL L

I already have it or think Ido

1723 1661 1625 1573 - 1577 732 845 427 363 405 383 521 273 724 511 547 519 265 622 328 363 884 69484% 82% 80% 78% - 78% 76% 81% 71% 76% 78% 91% 83% 81% 74% 78% 77% 81% 75% 82% 78% 76% 77% 81%

CDF DF G I IJK O O Sv w

No

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 75Q18 Which of the following is true for you?





2050 2019 2023 2016 1993 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

1487 1447 1311 1151 880 1063 510 553 371 264 268 160 308 183 533 343 338 382 171 409 228 255 573 49073% 72% 65% 57% 44% 53% 53% 53% 62% 55% 52% 38% 49% 54% 54% 52% 48% 59% 48% 54% 54% 53% 50% 57%

CDEF CDEF DEF EF E jKL L L m PQ W

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

563 572 712 865 1113 950 457 493 230 212 248 260 318 155 449 316 373 261 182 352 193 223 581 36927% 28% 35% 43% 56% 47% 47% 47% 38% 45% 48% 62% 51% 46% 46% 48% 52% 41% 52% 46% 46% 47% 50% 43%

AB ABC ABCDF ABCD i I IJK o R R X

I fear I could die as a resultof contracting coronavirus

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 - W/XOverlap formulae used.


14 Apr 2020Table 76Q20 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Summary Of At Least A Little






1604 1642 1710 1738 - 1826 865 960 541 442 457 386 571 306 891 578 671 577 324 710 376 416 1057 76978% 81% 85% 86% - 91% 89% 92% 90% 93% 89% 92% 91% 91% 91% 88% 94% 90% 92% 93% 89% 87% 92% 89%

a AB AB ABCD k PR v uV

Afraid of losing my lovedones

1513 1616 1704 1665 - 1749 815 935 527 431 440 351 536 294 866 553 660 537 321 667 350 412 1016 73374% 80% 84% 83% - 87% 84% 89% 88% 91% 85% 83% 86% 87% 88% 84% 93% 83% 91% 88% 83% 86% 88% 85%

A AB A ABcD G KL PR Uv u

Coronavirus being my firsttime experiencing apandemic like this

1612 1660 1746 1654 - 1735 823 912 521 418 447 349 504 288 888 550 644 541 314 654 357 411 1003 73279% 82% 86% 82% - 86% 85% 87% 87% 88% 87% 83% 80% 85% 90% 84% 90% 84% 89% 86% 85% 86% 87% 85%

A ABD A ABD m MN PR

Communication from thegovernment

1602 1633 1697 1613 - 1708 817 892 516 417 428 347 508 285 858 555 636 518 320 649 350 388 993 71578% 81% 84% 80% - 85% 84% 85% 86% 88% 83% 82% 81% 85% 87% 84% 89% 80% 91% 85% 83% 81% 86% 83%

a AbD ABD kl M PR TUV

Communication from theCDC

1590 1624 1675 1626 - 1704 802 902 517 424 426 338 526 278 842 542 645 518 309 646 346 403 985 72078% 80% 83% 81% - 85% 83% 86% 86% 89% 83% 80% 84% 82% 86% 82% 91% 80% 88% 85% 82% 84% 85% 84%

a A a ABD l KL PR u

Trying to keep up with allthe safetyrecommendations

1534 1568 1653 1616 - 1689 798 891 496 421 429 343 508 289 837 537 627 524 314 639 343 393 975 71475% 78% 82% 80% - 84% 83% 85% 83% 88% 83% 82% 81% 86% 85% 82% 88% 81% 89% 84% 81% 82% 85% 83%

AB A ABD IkL m PR tUV

Afraid of accidentallyspreading the virus tovulnerable people even ifI’m not experiencingsymptoms

1628 1636 1703 1615 - 1643 769 874 493 418 415 318 490 269 828 519 613 511 295 620 338 390 962 68179% 81% 84% 80% - 82% 80% 84% 82% 88% 80% 76% 78% 80% 84% 79% 86% 79% 84% 81% 80% 82% 83% 79%

ABDf g l IKL M PR x

Drastic headlines abouthow society is changing(e.g., national guard inNew Rochelle, NBA beingcancel)

1615 1590 1695 1623 - 1614 766 848 499 405 394 316 486 272 800 505 601 508 291 618 314 390 928 68579% 79% 84% 81% - 80% 79% 81% 83% 85% 76% 75% 78% 81% 81% 77% 85% 79% 83% 81% 75% 81% 80% 80%

ABDF KL KL PR U U u

News and images ofpeople fighting overproducts at the grocerystore

1536 1512 1615 1575 - 1553 727 827 481 400 376 296 477 254 768 498 576 479 274 601 301 378 899 65575% 75% 80% 78% - 77% 75% 79% 80% 84% 73% 71% 76% 75% 78% 76% 81% 74% 78% 79% 71% 79% 78% 76%

AB ab KL KL pR U U

Constant stream of socialmedia posts about people’sreactions to the outbreak(e.g., stocking up,self-quarantining, emptyshelves)

1328 1269 1377 1324 - 1367 641 726 442 366 318 241 418 206 695 414 535 419 261 518 270 319 809 55965% 63% 68% 66% - 68% 66% 69% 74% 77% 62% 57% 67% 61% 71% 63% 75% 65% 74% 68% 64% 67% 70% 65%

aB aB KL KL N PR tUv x

Learning that celebritiesand politicians are testingpositive____________________________________________________________________________________________________________________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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 77Q20_1 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Coronavirus being my first time experiencing a pandemic like this






1513 1616 1704 1665 - 1749 815 935 527 431 440 351 536 294 866 553 660 537 321 667 350 412 1016 73374% 80% 84% 83% - 87% 84% 89% 88% 91% 85% 83% 86% 87% 88% 84% 93% 83% 91% 88% 83% 86% 88% 85%

A AB A ABcD G KL PR Uv u

At Least A Little (Net)

504 582 717 662 - 723 279 444 206 208 183 126 229 117 347 210 307 207 130 269 158 166 435 28825% 29% 35% 33% - 36% 29% 42% 34% 44% 36% 30% 37% 35% 35% 32% 43% 32% 37% 35% 38% 35% 38% 34%

A AB AB AB G IKL PR

A lot

516 550 522 566 - 608 304 304 187 140 162 119 174 102 318 223 208 178 114 235 105 154 364 24425% 27% 26% 28% - 30% 31% 29% 31% 29% 31% 28% 28% 30% 32% 34% 29% 28% 33% 31% 25% 32% 32% 28%

AC r u u u

A moderate amount

493 484 465 437 - 418 231 187 134 83 95 106 133 75 200 121 145 152 76 163 88 92 217 20124% 24% 23% 22% - 21% 24% 18% 22% 17% 18% 25% 21% 22% 20% 18% 20% 24% 21% 21% 21% 19% 19% 23%

f f H j Jk p W

A little

537 403 319 351 - 264 152 111 74 45 75 69 90 44 116 106 52 107 32 94 71 67 138 12626% 20% 16% 17% - 13% 16% 11% 12% 9% 15% 17% 14% 13% 12% 16% 7% 17% 9% 12% 17% 14% 12% 15%

BCDF CF f F H J J Q Q St s

None

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Afraid of losing my loved ones






1604 1642 1710 1738 - 1826 865 960 541 442 457 386 571 306 891 578 671 577 324 710 376 416 1057 76978% 81% 85% 86% - 91% 89% 92% 90% 93% 89% 92% 91% 91% 91% 88% 94% 90% 92% 93% 89% 87% 92% 89%

a AB AB ABCD k PR v uV


571 611 768 782 - 875 371 503 269 211 198 197 271 153 421 258 377 239 158 339 186 192 531 34428% 30% 38% 39% - 43% 38% 48% 45% 44% 38% 47% 43% 45% 43% 39% 53% 37% 45% 44% 44% 40% 46% 40%

AB AB ABCD G k k PR X

A lot

459 473 491 523 - 537 275 262 155 149 151 83 153 78 289 164 178 195 107 186 115 129 313 22522% 23% 24% 26% - 27% 28% 25% 26% 31% 29% 20% 24% 23% 29% 25% 25% 30% 30% 24% 27% 27% 27% 26%

A Ab l iL L mn pq t

A moderate amount

574 558 451 434 - 414 219 195 117 82 108 106 147 75 181 155 116 143 58 185 75 95 213 20128% 28% 22% 22% - 21% 23% 19% 20% 17% 21% 25% 24% 22% 18% 24% 16% 22% 16% 24% 18% 20% 18% 23%

CDF CDF h J O Q Q SU W

A little

446 377 313 278 - 187 102 86 60 34 59 35 56 32 91 80 40 67 28 51 45 63 97 9122% 19% 15% 14% - 9% 11% 8% 10% 7% 11% 8% 9% 9% 9% 12% 6% 10% 8% 7% 11% 13% 8% 11%

bCDF CDF F F j Q Q t sT

None

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Afraid of accidentally spreading the virus to vulnerable people even if I’m not experiencing symptoms






1534 1568 1653 1616 - 1689 798 891 496 421 429 343 508 289 837 537 627 524 314 639 343 393 975 71475% 78% 82% 80% - 84% 83% 85% 83% 88% 83% 82% 81% 86% 85% 82% 88% 81% 89% 84% 81% 82% 85% 83%

AB A ABD IkL m PR tUV


475 513 596 552 - 632 251 381 192 186 127 127 173 101 336 193 270 169 114 241 115 163 372 26023% 25% 29% 27% - 31% 26% 36% 32% 39% 25% 30% 28% 30% 34% 29% 38% 26% 32% 32% 27% 34% 32% 30%

AB A ABD G K IKL M PR u

A lot

506 533 589 580 - 572 279 294 172 138 159 104 186 95 269 163 220 190 119 210 108 135 334 23825% 26% 29% 29% - 28% 29% 28% 29% 29% 31% 25% 30% 28% 27% 25% 31% 29% 34% 28% 26% 28% 29% 28%

A A A P tU

A moderate amount

552 521 469 485 - 485 268 217 132 97 143 113 149 92 233 181 138 166 81 189 120 96 269 21527% 26% 23% 24% - 24% 28% 21% 22% 20% 28% 27% 24% 27% 24% 28% 19% 26% 23% 25% 29% 20% 23% 25%Cd H iJ j Q Q V

A little

516 451 370 400 - 324 169 155 105 56 87 77 118 49 145 121 84 119 38 121 78 86 178 14625% 22% 18% 20% - 16% 17% 15% 17% 12% 17% 18% 19% 14% 15% 18% 12% 19% 11% 16% 19% 18% 15% 17%

CDF CF F J j J o Q Q s S S

None

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Constant stream of social media posts about people’s reactions to the outbreak (e.g., stocking up, self-quarantining, empty shelves)






1536 1512 1615 1575 - 1553 727 827 481 400 376 296 477 254 768 498 576 479 274 601 301 378 899 65575% 75% 80% 78% - 77% 75% 79% 80% 84% 73% 71% 76% 75% 78% 76% 81% 74% 78% 79% 71% 79% 78% 76%

AB ab KL KL pR U U


468 481 582 529 - 441 181 260 149 130 103 60 145 64 216 129 187 125 84 159 93 106 272 16923% 24% 29% 26% - 22% 19% 25% 25% 27% 20% 14% 23% 19% 22% 20% 26% 19% 24% 21% 22% 22% 24% 20%

ABF AF G L KL PR x

A lot

542 545 557 535 - 590 287 304 169 152 150 121 169 102 298 202 218 171 108 228 110 144 346 24426% 27% 28% 27% - 29% 30% 29% 28% 32% 29% 29% 27% 30% 30% 31% 31% 27% 31% 30% 26% 30% 30% 28%

A moderate amount

526 487 477 511 - 522 259 263 164 119 124 116 164 88 254 168 171 183 83 214 98 128 281 24126% 24% 24% 25% - 26% 27% 25% 27% 25% 24% 28% 26% 26% 26% 25% 24% 28% 23% 28% 23% 27% 24% 28%

A little

514 507 408 441 - 460 240 219 120 76 140 124 149 83 214 160 135 164 78 160 120 101 255 20525% 25% 20% 22% - 23% 25% 21% 20% 16% 27% 29% 24% 25% 22% 24% 19% 26% 22% 21% 29% 21% 22% 24%Cd Cd IJ IJ q Q TV

None

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




News and images of people fighting over products at the grocery store






1615 1590 1695 1623 - 1614 766 848 499 405 394 316 486 272 800 505 601 508 291 618 314 390 928 68579% 79% 84% 81% - 80% 79% 81% 83% 85% 76% 75% 78% 81% 81% 77% 85% 79% 83% 81% 75% 81% 80% 80%

ABDF KL KL PR U U u


540 551 601 525 - 499 217 282 132 153 117 97 139 79 258 156 221 123 83 202 101 113 313 18626% 27% 30% 26% - 25% 22% 27% 22% 32% 23% 23% 22% 23% 26% 24% 31% 19% 23% 27% 24% 24% 27% 22%

aDF g IKL PR X

A lot

558 529 564 523 - 590 275 315 206 139 130 115 177 99 289 197 200 192 110 213 124 142 326 26427% 26% 28% 26% - 29% 28% 30% 34% 29% 25% 27% 28% 29% 29% 30% 28% 30% 31% 28% 30% 30% 28% 31%

bd Kl

A moderate amount

517 510 530 575 - 525 274 250 161 113 147 104 170 94 253 152 180 192 98 203 88 135 289 23525% 25% 26% 29% - 26% 28% 24% 27% 24% 29% 25% 27% 28% 26% 23% 25% 30% 28% 27% 21% 28% 25% 27%

ab h P u u u

A little

435 429 328 393 - 399 201 198 103 71 122 104 141 66 182 153 110 136 61 143 107 89 225 17421% 21% 16% 19% - 20% 21% 19% 17% 15% 24% 25% 22% 19% 19% 23% 15% 21% 17% 19% 25% 19% 20% 20%C C C C IJ IJ Q Q STv

None

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Drastic headlines about how society is changing (e.g., national guard in New Rochelle, NBA being cancel)






1628 1636 1703 1615 - 1643 769 874 493 418 415 318 490 269 828 519 613 511 295 620 338 390 962 68179% 81% 84% 80% - 82% 80% 84% 82% 88% 80% 76% 78% 80% 84% 79% 86% 79% 84% 81% 80% 82% 83% 79%

ABDf g l IKL M PR x


478 494 567 461 - 461 189 272 134 157 95 74 142 72 232 146 193 122 79 190 100 92 293 16823% 24% 28% 23% - 23% 20% 26% 22% 33% 18% 18% 23% 21% 24% 22% 27% 19% 22% 25% 24% 19% 25% 20%

ABDF G IKL pR v X

A lot

597 607 625 624 - 634 306 328 193 145 172 123 186 103 321 198 257 178 114 226 128 166 361 27329% 30% 31% 31% - 31% 32% 31% 32% 31% 33% 29% 30% 31% 33% 30% 36% 28% 32% 30% 30% 35% 31% 32%

pR

A moderate amount

553 534 512 530 - 548 274 274 166 115 147 120 162 94 276 174 164 210 102 203 110 132 309 23927% 26% 25% 26% - 27% 28% 26% 28% 24% 29% 29% 26% 28% 28% 26% 23% 33% 29% 27% 26% 28% 27% 28%

pQ

A little

422 383 320 401 - 370 198 172 108 59 101 102 136 68 154 140 98 133 57 141 83 89 191 17921% 19% 16% 20% - 18% 20% 16% 18% 12% 20% 24% 22% 20% 16% 21% 14% 21% 16% 19% 20% 18% 17% 21%C C C c h J J iJ O Q Q w

None

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Learning that celebrities and politicians are testing positive






1328 1269 1377 1324 - 1367 641 726 442 366 318 241 418 206 695 414 535 419 261 518 270 319 809 55965% 63% 68% 66% - 68% 66% 69% 74% 77% 62% 57% 67% 61% 71% 63% 75% 65% 74% 68% 64% 67% 70% 65%

aB aB KL KL N PR tUv x


317 316 349 315 - 318 149 169 100 112 63 42 86 30 186 92 146 80 66 120 64 68 204 11415% 16% 17% 16% - 16% 15% 16% 17% 24% 12% 10% 14% 9% 19% 14% 20% 12% 19% 16% 15% 14% 18% 13%

kL IKL N MN PR X

A lot

425 437 482 469 - 520 237 283 151 132 128 108 170 83 246 162 214 143 96 202 103 117 311 20821% 22% 24% 23% - 26% 24% 27% 25% 28% 25% 26% 27% 25% 25% 25% 30% 22% 27% 27% 25% 25% 27% 24%

a AB pR

A moderate amount

586 515 546 540 - 530 256 275 191 122 127 91 161 93 263 160 174 196 99 196 103 133 293 23729% 26% 27% 27% - 26% 26% 26% 32% 26% 25% 22% 26% 28% 27% 24% 25% 30% 28% 26% 24% 28% 25% 28%

b jKL pq

A little

722 750 646 692 - 646 326 320 159 110 198 179 208 132 287 244 177 225 91 243 151 160 345 30135% 37% 32% 34% - 32% 34% 31% 26% 23% 38% 43% 33% 39% 29% 37% 25% 35% 26% 32% 36% 33% 30% 35%cf CF IJ IJ O Q Q s S s w

None

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Communication from the government






1612 1660 1746 1654 - 1735 823 912 521 418 447 349 504 288 888 550 644 541 314 654 357 411 1003 73279% 82% 86% 82% - 86% 85% 87% 87% 88% 87% 83% 80% 85% 90% 84% 90% 84% 89% 86% 85% 86% 87% 85%

A ABD A ABD m MN PR


444 507 558 461 - 529 214 315 149 149 124 107 139 85 284 162 220 146 88 212 105 124 309 22022% 25% 28% 23% - 26% 22% 30% 25% 31% 24% 25% 22% 25% 29% 25% 31% 23% 25% 28% 25% 26% 27% 26%

A AD Ad G iK M PR

A lot

601 626 640 668 - 686 352 334 190 166 191 140 206 123 333 214 271 201 141 262 135 148 421 26629% 31% 32% 33% - 34% 36% 32% 32% 35% 37% 33% 33% 37% 34% 33% 38% 31% 40% 34% 32% 31% 36% 31%

A A pR uV X

A moderate amount

567 526 549 524 - 520 258 262 182 103 133 102 159 79 271 174 152 195 84 180 116 140 274 24628% 26% 27% 26% - 26% 27% 25% 30% 22% 26% 24% 25% 23% 28% 26% 21% 30% 24% 24% 28% 29% 24% 29%

J q Q t W

A little

438 359 277 362 - 278 144 134 80 58 68 71 123 50 94 108 68 102 39 107 64 67 150 12721% 18% 14% 18% - 14% 15% 13% 13% 12% 13% 17% 20% 15% 10% 16% 10% 16% 11% 14% 15% 14% 13% 15%

BCDF CF CF nO O Q Q

None

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Communication from the CDC






1602 1633 1697 1613 - 1708 817 892 516 417 428 347 508 285 858 555 636 518 320 649 350 388 993 71578% 81% 84% 80% - 85% 84% 85% 86% 88% 83% 82% 81% 85% 87% 84% 89% 80% 91% 85% 83% 81% 86% 83%

a AbD ABD kl M PR TUV


355 421 486 399 - 460 202 258 121 140 111 87 143 71 235 145 195 120 90 167 104 98 295 16517% 21% 24% 20% - 23% 21% 25% 20% 30% 22% 21% 23% 21% 24% 22% 27% 19% 26% 22% 25% 21% 26% 19%

A AbD Ad IKL pR X

A lot

634 616 635 660 - 699 341 358 233 143 187 136 184 130 351 226 244 228 139 261 141 157 402 29631% 31% 31% 33% - 35% 35% 34% 39% 30% 36% 32% 29% 39% 36% 34% 34% 35% 40% 34% 33% 33% 35% 34%

ABc J j M M

A moderate amount

613 596 576 554 - 550 274 276 163 134 129 124 181 84 271 184 197 169 91 221 105 133 296 25430% 30% 28% 27% - 27% 28% 26% 27% 28% 25% 29% 29% 25% 28% 28% 28% 26% 26% 29% 25% 28% 26% 29%

A little

448 386 326 403 - 305 150 154 85 59 88 74 118 52 125 103 75 126 32 112 71 90 160 14522% 19% 16% 20% - 15% 16% 15% 14% 12% 17% 18% 19% 15% 13% 16% 11% 20% 9% 15% 17% 19% 14% 17%

bCF cF CF j j O Q Q S S S

None

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Trying to keep up with all the safety recommendations






1590 1624 1675 1626 - 1704 802 902 517 424 426 338 526 278 842 542 645 518 309 646 346 403 985 72078% 80% 83% 81% - 85% 83% 86% 86% 89% 83% 80% 84% 82% 86% 82% 91% 80% 88% 85% 82% 84% 85% 84%

a A a ABD l KL PR u


453 470 549 492 - 559 244 315 166 166 125 102 179 76 282 168 235 156 113 209 112 126 346 21322% 23% 27% 24% - 28% 25% 30% 28% 35% 24% 24% 29% 22% 29% 26% 33% 24% 32% 27% 26% 26% 30% 25%

AB ABd g IKL n n PR X

A lot

566 616 557 606 - 625 291 334 203 142 166 114 188 117 295 201 227 196 108 236 133 147 348 27728% 31% 28% 30% - 31% 30% 32% 34% 30% 32% 27% 30% 35% 30% 31% 32% 31% 31% 31% 32% 31% 30% 32%

ac l

A moderate amount

571 538 569 527 - 520 267 253 148 116 135 121 158 84 265 172 183 165 88 201 101 130 291 23028% 27% 28% 26% - 26% 28% 24% 25% 24% 26% 29% 25% 25% 27% 26% 26% 26% 25% 26% 24% 27% 25% 27%

A little

460 395 348 390 - 309 165 144 84 53 90 83 101 60 140 117 66 126 43 115 76 76 169 14022% 20% 17% 19% - 15% 17% 14% 14% 11% 17% 20% 16% 18% 14% 18% 9% 20% 12% 15% 18% 16% 15% 16%

bCdF F F J iJ Q Q s

None

2050 2019 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 87Q21 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 699 806 405 346 413 341 464 259 728 460 593 453 261 586 320 339 867 63946% 50% 61% 68% 79% 75% 72% 77% 67% 73% 80% 81% 74% 77% 74% 70% 83% 70% 74% 77% 76% 71% 75% 74%

A AB ABC ABCDF ABCD g IJ IJ PR v

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

1108 1007 787 641 422 508 268 240 196 130 103 79 162 78 254 199 118 191 91 175 101 140 287 22154% 50% 39% 32% 21% 25% 28% 23% 33% 27% 20% 19% 26% 23% 26% 30% 17% 30% 26% 23% 24% 29% 25% 26%

BCDEF CDEF DEF EF E h KL KL Q Q t

The amount of fear isirrational, people areoverreacting

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 88Q15 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 822 928 492 416 453 388 541 300 860 561 652 538 309 664 366 410 1011 739- - - 88% 90% 87% 85% 89% 82% 87% 88% 92% 86% 89% 88% 85% 92% 84% 88% 87% 87% 86% 88% 86%

F g I I Ijk PR

Quarantine indoors

- - - 1776 1781 1714 808 907 479 411 452 372 527 297 840 559 623 533 293 650 362 409 984 730- - - 88% 89% 85% 84% 87% 80% 86% 88% 89% 84% 88% 86% 85% 88% 83% 83% 85% 86% 85% 85% 85%

F F I I I R

Stop all travel domestically

- - - 1786 1713 1680 783 897 460 381 456 383 519 288 826 541 596 544 274 636 362 408 945 735- - - 89% 86% 83% 81% 86% 77% 80% 88% 91% 83% 85% 84% 82% 84% 85% 78% 84% 86% 85% 82% 86%

EF f G IJ IJ s S S w

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

- - - 1447 1498 1367 658 709 366 323 357 320 414 233 681 436 503 428 246 509 278 334 790 577- - - 72% 75% 68% 68% 68% 61% 68% 69% 76% 66% 69% 69% 66% 71% 66% 70% 67% 66% 70% 69% 67%

F dF I I IJk

Be put on a rationsprogram for certain goods

- - - 866 849 787 425 362 259 183 185 159 184 95 489 281 293 213 139 310 151 187 488 299- - - 43% 43% 39% 44% 35% 43% 39% 36% 38% 29% 28% 50% 43% 41% 33% 39% 41% 36% 39% 42% 35%

f f H k MN R R X

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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 89Q15 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 542 685 342 293 331 261 442 242 493 378 418 431 213 451 270 292 666 561- - - 57% 57% 61% 56% 65% 57% 61% 64% 62% 71% 72% 50% 57% 59% 67% 61% 59% 64% 61% 58% 65%

de G i O O PQ W

Donate my portion of thestimulus package to ahospital

- - - 569 495 646 309 337 235 153 158 100 212 105 301 222 208 216 106 252 143 145 363 283- - - 28% 25% 32% 32% 32% 39% 32% 31% 24% 34% 31% 31% 34% 29% 34% 30% 33% 34% 30% 31% 33%

e DE JKL L l

Be put on a rationsprogram for certain goods

- - - 230 280 333 184 149 141 95 60 38 107 49 157 118 116 100 78 125 59 71 208 125- - - 11% 14% 17% 19% 14% 23% 20% 12% 9% 17% 15% 16% 18% 16% 15% 22% 16% 14% 15% 18% 14%

D De H KL KL tUV x

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

- - - 240 212 299 159 139 122 65 63 48 99 40 142 100 88 111 59 110 60 70 169 129- - - 12% 11% 15% 16% 13% 20% 14% 12% 11% 16% 12% 14% 15% 12% 17% 17% 15% 14% 15% 15% 15%

DE JKL Q


- - - 239 196 263 145 118 109 60 63 32 85 37 123 98 59 106 43 97 55 69 143 120- - - 12% 10% 13% 15% 11% 18% 13% 12% 8% 14% 11% 12% 15% 8% 16% 12% 13% 13% 14% 12% 14%

E h JKL l l Q Q

Quarantine indoors



14 Apr 2020Table 90Q15_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 822 928 492 416 453 388 541 300 860 561 652 538 309 664 366 410 1011 739- - - 88% 90% 87% 85% 89% 82% 87% 88% 92% 86% 89% 88% 85% 92% 84% 88% 87% 87% 86% 88% 86%

F g I I Ijk PR

Willing to do

- - - 239 196 263 145 118 109 60 63 32 85 37 123 98 59 106 43 97 55 69 143 120- - - 12% 10% 13% 15% 11% 18% 13% 12% 8% 14% 11% 12% 15% 8% 16% 12% 13% 13% 14% 12% 14%

E h JKL l l Q Q

Not willing to do

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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 783 897 460 381 456 383 519 288 826 541 596 544 274 636 362 408 945 735- - - 89% 86% 83% 81% 86% 77% 80% 88% 91% 83% 85% 84% 82% 84% 85% 78% 84% 86% 85% 82% 86%

EF f G IJ IJ s S S w

Willing to do

- - - 230 280 333 184 149 141 95 60 38 107 49 157 118 116 100 78 125 59 71 208 125- - - 11% 14% 17% 19% 14% 23% 20% 12% 9% 17% 15% 16% 18% 16% 15% 22% 16% 14% 15% 18% 14%

D De H KL KL tUV x

Not willing to do

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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 658 709 366 323 357 320 414 233 681 436 503 428 246 509 278 334 790 577- - - 72% 75% 68% 68% 68% 61% 68% 69% 76% 66% 69% 69% 66% 71% 66% 70% 67% 66% 70% 69% 67%

F dF I I IJk

Willing to do

- - - 569 495 646 309 337 235 153 158 100 212 105 301 222 208 216 106 252 143 145 363 283- - - 28% 25% 32% 32% 32% 39% 32% 31% 24% 34% 31% 31% 34% 29% 34% 30% 33% 34% 30% 31% 33%

e DE JKL L l

Not willing to do

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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 808 907 479 411 452 372 527 297 840 559 623 533 293 650 362 409 984 730- - - 88% 89% 85% 84% 87% 80% 86% 88% 89% 84% 88% 86% 85% 88% 83% 83% 85% 86% 85% 85% 85%

F F I I I R

Willing to do

- - - 240 212 299 159 139 122 65 63 48 99 40 142 100 88 111 59 110 60 70 169 129- - - 12% 11% 15% 16% 13% 20% 14% 12% 11% 16% 12% 14% 15% 12% 17% 17% 15% 14% 15% 15% 15%

DE JKL Q

Not willing to do

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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






- - - 866 849 787 425 362 259 183 185 159 184 95 489 281 293 213 139 310 151 187 488 299- - - 43% 43% 39% 44% 35% 43% 39% 36% 38% 29% 28% 50% 43% 41% 33% 39% 41% 36% 39% 42% 35%

f f H k MN R R X

Willing to do

- - - 1150 1144 1226 542 685 342 293 331 261 442 242 493 378 418 431 213 451 270 292 666 561- - - 57% 57% 61% 56% 65% 57% 61% 64% 62% 71% 72% 50% 57% 59% 67% 61% 59% 64% 61% 58% 65%

de G i O O PQ W

Not willing to do

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 95FR01 Have you felt any of the following since the stay-home orders have gone into effect?

Summary Of Yes






- - - - 1529 1543 703 840 422 370 392 358 461 263 774 501 562 480 249 588 326 380 907 636- - - - 77% 77% 73% 80% 70% 78% 76% 85% 74% 78% 79% 76% 79% 75% 71% 77% 78% 79% 79% 74%

G I i IJK M s s S x

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

- - - - 1549 1507 708 798 415 371 376 344 442 252 773 490 537 479 260 577 312 357 918 588- - - - 78% 75% 73% 76% 69% 78% 73% 82% 71% 75% 79% 74% 76% 74% 74% 76% 74% 75% 80% 68%

f I IK M X

Appreciative-to be aroundpeople I truly care about

- - - - 1076 1044 508 535 374 267 237 166 302 173 536 338 385 321 199 385 214 245 609 435- - - - 54% 52% 53% 51% 62% 56% 46% 40% 48% 51% 55% 51% 54% 50% 57% 51% 51% 51% 53% 51%

jKL KL M

Cabin fever- bored andsick of being in my home

- - - - 1068 1027 455 572 379 283 218 148 326 161 496 317 402 309 189 377 214 247 577 451- - - - 54% 51% 47% 55% 63% 59% 42% 35% 52% 48% 51% 48% 56% 48% 54% 50% 51% 52% 50% 52%

G KL KL PR

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

- - - - 972 967 469 497 336 271 224 135 273 148 521 305 372 289 163 375 201 227 586 381- - - - 49% 48% 49% 48% 56% 57% 43% 32% 44% 44% 53% 46% 52% 45% 46% 49% 48% 47% 51% 44%

KL KL L MN pR X

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

- - - - 974 964 440 525 326 237 235 167 286 170 470 292 372 300 163 367 194 241 570 394- - - - 49% 48% 45% 50% 54% 50% 45% 40% 46% 50% 48% 44% 52% 47% 46% 48% 46% 50% 49% 46%

KL L Pr

Lonely-feeling isolatedfrom my friends/family

- - - - 728 723 345 378 319 225 131 49 198 105 394 212 282 229 140 285 124 174 443 280- - - - 37% 36% 36% 36% 53% 47% 25% 12% 32% 31% 40% 32% 40% 36% 40% 37% 29% 36% 38% 33%

KL KL L MN P U U u X

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

- - - - 695 660 313 346 291 166 124 79 198 101 332 208 234 218 126 241 121 172 381 279- - - - 35% 33% 32% 33% 48% 35% 24% 19% 32% 30% 34% 32% 33% 34% 36% 32% 29% 36% 33% 32%

JKL KL u u

Claustrophobic- unable toescape my home

- - - - 649 650 323 327 300 196 100 54 189 92 345 193 256 202 132 234 133 151 392 259- - - - 33% 32% 33% 31% 50% 41% 19% 13% 30% 27% 35% 29% 36% 31% 38% 31% 32% 32% 34% 30%

JKL KL L mN P t

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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 96FR01_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 508 535 374 267 237 166 302 173 536 338 385 321 199 385 214 245 609 435- - - - 54% 52% 53% 51% 62% 56% 46% 40% 48% 51% 55% 51% 54% 50% 57% 51% 51% 51% 53% 51%

jKL KL M

Yes

- - - - 917 969 459 511 227 209 279 254 324 165 446 320 326 323 153 376 207 234 545 425- - - - 46% 48% 47% 49% 38% 44% 54% 60% 52% 49% 45% 49% 46% 50% 43% 49% 49% 49% 47% 49%

i IJ IJ O

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 695 660 313 346 291 166 124 79 198 101 332 208 234 218 126 241 121 172 381 279- - - - 35% 33% 32% 33% 48% 35% 24% 19% 32% 30% 34% 32% 33% 34% 36% 32% 29% 36% 33% 32%

JKL KL u u

Yes

- - - - 1298 1353 654 700 310 310 392 341 428 237 650 451 477 426 226 520 300 307 773 581- - - - 65% 67% 68% 67% 52% 65% 76% 81% 68% 70% 66% 68% 67% 66% 64% 68% 71% 64% 67% 68%

I IJ IJ sv

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 972 967 469 497 336 271 224 135 273 148 521 305 372 289 163 375 201 227 586 381- - - - 49% 48% 49% 48% 56% 57% 43% 32% 44% 44% 53% 46% 52% 45% 46% 49% 48% 47% 51% 44%

KL KL L MN pR X

Yes

- - - - 1021 1046 498 549 265 206 292 285 353 189 461 353 339 355 189 386 220 252 568 479- - - - 51% 52% 51% 52% 44% 43% 57% 68% 56% 56% 47% 54% 48% 55% 54% 51% 52% 53% 49% 56%

IJ IJK O O q Q W

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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 708 798 415 371 376 344 442 252 773 490 537 479 260 577 312 357 918 588- - - - 78% 75% 73% 76% 69% 78% 73% 82% 71% 75% 79% 74% 76% 74% 74% 76% 74% 75% 80% 68%

f I IK M X

Yes

- - - - 444 506 259 248 186 105 139 76 184 85 209 168 174 164 92 183 109 122 235 271- - - - 22% 25% 27% 24% 31% 22% 27% 18% 29% 25% 21% 26% 24% 26% 26% 24% 26% 25% 20% 32%

e JL L O W

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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 703 840 422 370 392 358 461 263 774 501 562 480 249 588 326 380 907 636- - - - 77% 77% 73% 80% 70% 78% 76% 85% 74% 78% 79% 76% 79% 75% 71% 77% 78% 79% 79% 74%

G I i IJK M s s S x

Yes

- - - - 464 470 264 206 179 106 123 62 165 74 208 157 150 164 104 173 95 99 247 224- - - - 23% 23% 27% 20% 30% 22% 24% 15% 26% 22% 21% 24% 21% 25% 29% 23% 22% 21% 21% 26%

H JkL L L O tuV w

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 974 964 440 525 326 237 235 167 286 170 470 292 372 300 163 367 194 241 570 394- - - - 49% 48% 45% 50% 54% 50% 45% 40% 46% 50% 48% 44% 52% 47% 46% 48% 46% 50% 49% 46%

KL L Pr

Yes

- - - - 1019 1049 527 521 275 239 281 254 341 167 512 366 339 344 190 394 227 238 583 465- - - - 51% 52% 55% 50% 46% 50% 55% 60% 54% 50% 52% 56% 48% 53% 54% 52% 54% 50% 51% 54%

I IJ Q q

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 728 723 345 378 319 225 131 49 198 105 394 212 282 229 140 285 124 174 443 280- - - - 37% 36% 36% 36% 53% 47% 25% 12% 32% 31% 40% 32% 40% 36% 40% 37% 29% 36% 38% 33%

KL KL L MN P U U u X

Yes

- - - - 1265 1290 622 668 282 252 385 371 428 232 588 446 429 414 212 476 297 305 711 579- - - - 63% 64% 64% 64% 47% 53% 75% 88% 68% 69% 60% 68% 60% 64% 60% 63% 71% 64% 62% 67%

IJ IJK O O Q STv W

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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 455 572 379 283 218 148 326 161 496 317 402 309 189 377 214 247 577 451- - - - 54% 51% 47% 55% 63% 59% 42% 35% 52% 48% 51% 48% 56% 48% 54% 50% 51% 52% 50% 52%

G KL KL PR

Yes

- - - - 925 986 512 474 222 193 298 272 300 176 486 341 309 335 163 384 207 232 577 409- - - - 46% 49% 53% 45% 37% 41% 58% 65% 48% 52% 49% 52% 44% 52% 46% 50% 49% 48% 50% 48%

H IJ IJ Q Q

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 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






- - - - 649 650 323 327 300 196 100 54 189 92 345 193 256 202 132 234 133 151 392 259- - - - 33% 32% 33% 31% 50% 41% 19% 13% 30% 27% 35% 29% 36% 31% 38% 31% 32% 32% 34% 30%

JKL KL L mN P t

Yes

- - - - 1344 1363 644 719 301 280 415 366 437 245 638 466 455 442 220 527 288 328 762 601- - - - 67% 68% 67% 69% 50% 59% 81% 87% 70% 73% 65% 71% 64% 69% 62% 69% 68% 68% 66% 70%

I IJ IJK o O Q s

No

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 105FR02_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




- - - - 731 655 350 305 252 226 145 32 155 101 388 236 252 167 148 241 124 142 422 233Unweighted Base-** -** -** -** 726 661 374 287 232 222 174* 33** 91 80* 480 229 246 186 136* 236 136* 153* 458 203Weighted Base

- - - - 390 342 188 154 122 113 90 17 47 42 248 123 122 97 66 124 69 83 244 98- - - - 54% 52% 50% 54% 52% 51% 52% 52% 51% 53% 52% 54% 49% 52% 48% 52% 51% 54% 53% 48%

Roll out of bed and startworking

- - - - 335 319 186 133 110 109 84 16 45 37 232 106 125 89 70 112 67 70 214 105- - - - 46% 48% 50% 46% 48% 49% 48% 48% 49% 47% 48% 46% 51% 48% 52% 48% 49% 46% 47% 52%

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

- - - - 726 661 374 287 232 222 174 33 91 80 480 229 246 186 136 236 136 153 458 203- - - - 100% 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






- - - - 370 338 200 138 114 106 101 17 55 42 235 130 123 85 62 119 77 80 236 102- - - - 51% 51% 54% 48% 49% 48% 58% 52% 60% 52% 49% 57% 50% 46% 46% 51% 57% 52% 51% 50%

O r

Get properly dressed

- - - - 356 323 174 149 118 116 73 16 37 38 245 99 123 101 74 117 59 73 222 101- - - - 49% 49% 46% 52% 51% 52% 42% 48% 40% 48% 51% 43% 50% 54% 54% 49% 43% 48% 49% 50%

M p

Wear PJs/sweatpants

- - - - 726 661 374 287 232 222 174 33 91 80 480 229 246 186 136 236 136 153 458 203- - - - 100% 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






- - - - 361 339 188 151 120 107 92 20 52 41 245 115 130 95 69 119 72 79 240 100- - - - 50% 51% 50% 53% 52% 48% 53% 62% 56% 51% 51% 50% 53% 51% 51% 50% 53% 52% 52% 49%

Take a shower daily

- - - - 364 322 186 136 112 115 82 12 40 39 236 114 117 91 67 117 64 74 218 104- - - - 50% 49% 50% 47% 48% 52% 47% 38% 44% 49% 49% 50% 47% 49% 49% 50% 47% 48% 48% 51%

Skip a couple of days ofshowering

- - - - 726 661 374 287 232 222 174 33 91 80 480 229 246 186 136 236 136 153 458 203- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Work more/Work less






- - - - 408 352 191 161 119 118 100 16 51 41 257 123 125 105 68 130 79 75 248 104- - - - 56% 53% 51% 56% 51% 53% 57% 48% 56% 51% 54% 54% 51% 57% 50% 55% 58% 49% 54% 51%

Work more

- - - - 318 309 183 125 113 105 74 17 40 39 223 106 122 81 68 106 57 78 209 99- - - - 44% 47% 49% 44% 49% 47% 43% 52% 44% 49% 46% 46% 49% 43% 50% 45% 42% 51% 46% 49%

Work less

- - - - 726 661 374 287 232 222 174 33 91 80 480 229 246 186 136 236 136 153 458 203- - - - 100% 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






- - - - 371 371 216 155 127 120 102 22 45 43 281 122 147 102 80 134 68 88 269 102- - - - 51% 56% 58% 54% 54% 54% 59% 66% 49% 54% 58% 53% 60% 55% 59% 57% 50% 58% 59% 50%

m x

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

- - - - 355 290 159 132 106 102 72 11 47 37 200 107 99 84 56 102 68 65 189 101- - - - 49% 44% 42% 46% 46% 46% 41% 34% 51% 46% 42% 47% 40% 45% 41% 43% 50% 42% 41% 50%

o w

Work anytime that isneeded

- - - - 726 661 374 287 232 222 174 33 91 80 480 229 246 186 136 236 136 153 458 203- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 110FR03 Are you a parent who is now staying at home with your child(ren)?

Base: Parent




- - - - 1109 1099 470 629 244 364 292 199 411 184 487 426 361 312 207 429 229 234 1099 -Unweighted Base-** -** -** -** 1098 1153 533 620 230 348 324 251 298 186 653 428 398 327 211 441 235 266 1153 -**Weighted Base

- - - - 641 602 306 296 173 269 131 29 129 86 379 208 236 159 133 201 125 143 602 -- - - - 58% 52% 57% 48% 75% 77% 40% 12% 43% 46% 58% 49% 59% 48% 63% 46% 53% 54% 52% -

F H KL KL L MN PR Tu

Yes

- - - - 457 551 227 324 57 78 193 222 169 100 274 221 162 169 78 240 110 123 551 -- - - - 42% 48% 43% 52% 25% 23% 60% 88% 57% 54% 42% 51% 41% 52% 37% 54% 47% 46% 48% -

E G IJ IJK O O Q Q S s

No

- - - - 1098 1153 533 620 230 348 324 251 298 186 653 428 398 327 211 441 235 266 1153 -- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% -

Sigma



14 Apr 2020Table 111FR04 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

Summary Of Yes

Base: Parent





- - - - 593 574 288 286 173 249 109 43 125 80 361 185 241 149 123 224 99 128 574 -- - - - 54% 50% 54% 46% 75% 72% 34% 17% 42% 43% 55% 43% 61% 45% 58% 51% 42% 48% 50% -

H KL KL L MN PR Uv u

Giving in to more screentime (e.g., movies,YouTube, Netflix) topreoccupy kids

- - - - 474 444 220 224 159 184 75 28 101 63 275 148 186 111 99 171 82 93 444 -- - - - 43% 39% 41% 36% 69% 53% 23% 11% 34% 34% 42% 35% 47% 34% 47% 39% 35% 35% 39% -

f JKL KL L M PR UV

Relying on moretreats/snacks to keep mykids happy

- - - - 386 381 199 182 109 174 68 31 62 52 264 132 164 85 91 144 58 87 381 -- - - - 35% 33% 37% 29% 47% 50% 21% 12% 21% 28% 40% 31% 41% 26% 43% 33% 25% 33% 33% -

H KL KL L MN PR TUv u

Kids making cameos onvideo or conference calls

- - - - 339 352 182 170 124 160 50 18 74 39 234 124 148 80 76 121 64 91 352 -- - - - 31% 31% 34% 27% 54% 46% 16% 7% 25% 21% 36% 29% 37% 24% 36% 27% 27% 34% 31% -

h KL KL L MN pR t

’Mommy/Daddy’ time out-walking away from kids toget a break

- - - - 346 349 172 177 132 142 51 24 67 49 231 124 142 84 81 116 59 93 349 -- - - - 32% 30% 32% 29% 57% 41% 16% 10% 22% 26% 35% 29% 36% 26% 38% 26% 25% 35% 30% -

JKL KL Mn R TU tu

Buying more toys, booksor games to preoccupy kids

- - - - 345 337 179 157 122 151 44 19 68 41 222 111 134 92 83 113 52 89 337 -- - - - 31% 29% 34% 25% 53% 43% 14% 8% 23% 22% 34% 26% 34% 28% 39% 26% 22% 33% 29% -

H jKL KL MN p TU tU

Frustration with onlineschooling systems



14 Apr 2020Table 112FR04_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





- - - - 593 574 288 286 173 249 109 43 125 80 361 185 241 149 123 224 99 128 574 -- - - - 54% 50% 54% 46% 75% 72% 34% 17% 42% 43% 55% 43% 61% 45% 58% 51% 42% 48% 50% -

H KL KL L MN PR Uv u

Yes

- - - - 505 579 245 334 57 99 215 208 173 105 293 244 157 179 88 217 136 138 579 -- - - - 46% 50% 46% 54% 25% 28% 66% 83% 58% 57% 45% 57% 39% 55% 42% 49% 58% 52% 50% -

G IJ IJK O O Q Q St s

No

- - - - 1098 1153 533 620 230 348 324 251 298 186 653 428 398 327 211 441 235 266 1153 -- - - - 100% 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





- - - - 474 444 220 224 159 184 75 28 101 63 275 148 186 111 99 171 82 93 444 -- - - - 43% 39% 41% 36% 69% 53% 23% 11% 34% 34% 42% 35% 47% 34% 47% 39% 35% 35% 39% -

f JKL KL L M PR UV

Yes

- - - - 624 709 313 396 72 164 249 224 197 122 379 280 212 217 112 271 153 174 709 -- - - - 57% 61% 59% 64% 31% 47% 77% 89% 66% 66% 58% 65% 53% 66% 53% 61% 65% 65% 61% -

e I IJ IJK O Q Q S S

No

- - - - 1098 1153 533 620 230 348 324 251 298 186 653 428 398 327 211 441 235 266 1153 -- - - - 100% 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





- - - - 345 337 179 157 122 151 44 19 68 41 222 111 134 92 83 113 52 89 337 -- - - - 31% 29% 34% 25% 53% 43% 14% 8% 23% 22% 34% 26% 34% 28% 39% 26% 22% 33% 29% -

H jKL KL MN p TU tU

Yes

- - - - 753 817 354 463 108 197 280 232 230 145 431 318 264 235 129 328 183 177 817 -- - - - 69% 71% 66% 75% 47% 57% 86% 92% 77% 78% 66% 74% 66% 72% 61% 74% 78% 67% 71% -

G i IJ IJ O O q Sv SV

No

- - - - 1098 1153 533 620 230 348 324 251 298 186 653 428 398 327 211 441 235 266 1153 -- - - - 100% 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





- - - - 386 381 199 182 109 174 68 31 62 52 264 132 164 85 91 144 58 87 381 -- - - - 35% 33% 37% 29% 47% 50% 21% 12% 21% 28% 40% 31% 41% 26% 43% 33% 25% 33% 33% -

H KL KL L MN PR TUv u

Yes

- - - - 712 772 334 438 121 174 256 220 236 133 389 296 234 242 120 297 177 179 772 -- - - - 65% 67% 63% 71% 53% 50% 79% 88% 79% 72% 60% 69% 59% 74% 57% 67% 75% 67% 67% -

G IJ IJK O O Q Q S St s

No

- - - - 1098 1153 533 620 230 348 324 251 298 186 653 428 398 327 211 441 235 266 1153 -- - - - 100% 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





- - - - 339 352 182 170 124 160 50 18 74 39 234 124 148 80 76 121 64 91 352 -- - - - 31% 31% 34% 27% 54% 46% 16% 7% 25% 21% 36% 29% 37% 24% 36% 27% 27% 34% 31% -

h KL KL L MN pR t

Yes

- - - - 758 801 352 450 107 188 274 233 224 147 420 304 250 248 135 320 171 176 801 -- - - - 69% 69% 66% 73% 46% 54% 84% 93% 75% 79% 64% 71% 63% 76% 64% 73% 73% 66% 69% -

g IJ IJK O O q Q s

No

- - - - 1098 1153 533 620 230 348 324 251 298 186 653 428 398 327 211 441 235 266 1153 -- - - - 100% 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





- - - - 346 349 172 177 132 142 51 24 67 49 231 124 142 84 81 116 59 93 349 -- - - - 32% 30% 32% 29% 57% 41% 16% 10% 22% 26% 35% 29% 36% 26% 38% 26% 25% 35% 30% -

JKL KL Mn R TU tu

Yes

- - - - 751 804 361 443 98 206 273 227 231 137 423 305 256 244 130 325 176 173 804 -- - - - 68% 70% 68% 71% 43% 59% 84% 90% 78% 74% 65% 71% 64% 74% 62% 74% 75% 65% 70% -

I IJ IJ O o Q Sv Sv

No

- - - - 1098 1153 533 620 230 348 324 251 298 186 653 428 398 327 211 441 235 266 1153 -- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% -

Sigma



14 Apr 2020Table 118FR05 How much would you say you miss each of the following during this time of virus-related shutdowns?

Summary Of A Lot/Somewhat






- - - - - 1494 695 799 421 339 404 330 416 267 763 509 537 447 258 579 306 351 879 615- - - - - 74% 72% 76% 70% 71% 78% 78% 66% 79% 78% 77% 76% 69% 73% 76% 73% 73% 76% 72%

g IJ Ij M M R R x

Gatherings with friendsand family

- - - - - 1405 668 737 413 338 354 301 379 242 742 463 536 406 255 537 277 336 804 601- - - - - 70% 69% 70% 69% 71% 69% 72% 61% 72% 76% 70% 75% 63% 73% 71% 66% 70% 70% 70%

M M R R

Dining out at arestaurant/bar

- - - - - 1341 604 737 404 337 338 263 403 226 665 441 497 403 242 512 273 315 777 565- - - - - 67% 63% 70% 67% 71% 65% 63% 64% 67% 68% 67% 70% 63% 69% 67% 65% 66% 67% 66%

G L R

Shopping in stores

- - - - - 1191 554 636 380 294 292 225 308 208 639 376 456 358 220 438 236 296 693 498- - - - - 59% 57% 61% 63% 62% 57% 54% 49% 62% 65% 57% 64% 56% 63% 58% 56% 62% 60% 58%

kL l M M PR

Going to a socialgathering,

- - - - - 983 473 509 297 229 257 199 284 163 502 339 345 299 184 396 209 194 583 399- - - - - 49% 49% 49% 49% 48% 50% 47% 45% 48% 51% 52% 48% 46% 52% 52% 50% 41% 51% 46%

m V V V

Going to church

- - - - - 916 466 450 312 233 211 160 234 136 518 287 366 263 182 328 179 227 556 360- - - - - 46% 48% 43% 52% 49% 41% 38% 37% 40% 53% 44% 51% 41% 52% 43% 43% 47% 48% 42%

h KL KL MN PR TU X

Attending events likeconcerts, theatre andsporting events

- - - - - 910 545 365 286 232 236 156 233 138 509 336 310 263 173 340 193 203 537 374- - - - - 45% 56% 35% 48% 49% 46% 37% 37% 41% 52% 51% 44% 41% 49% 45% 46% 42% 47% 43%

H L L l MN QR

Watching sports on TV

- - - - - 893 444 448 326 251 212 103 227 145 493 261 372 260 185 323 168 217 519 374- - - - - 44% 46% 43% 54% 53% 41% 25% 36% 43% 50% 40% 52% 40% 52% 42% 40% 45% 45% 43%

KL KL L m Mn PR TU

Going to a movie theatre

- - - - - 858 415 443 311 227 175 145 227 145 460 261 362 235 174 320 162 203 491 367- - - - - 43% 43% 42% 52% 48% 34% 35% 36% 43% 47% 40% 51% 37% 49% 42% 38% 42% 43% 43%

KL KL m M PR tU

Going to my local coffeeshop

- - - - - 742 385 357 307 193 132 110 160 112 446 238 313 191 145 256 145 196 437 306- - - - - 37% 40% 34% 51% 41% 26% 26% 26% 33% 45% 36% 44% 30% 41% 34% 35% 41% 38% 36%

H JKL KL M MN r PR t t

Going to the gym/work outclass

- - - - - 707 368 338 257 192 144 114 141 88 459 238 277 191 136 249 143 179 448 259- - - - - 35% 38% 32% 43% 40% 28% 27% 22% 26% 47% 36% 39% 30% 39% 33% 34% 37% 39% 30%

H KL KL MN r R X

Traveling on an airplane

- - - - - 621 319 301 252 204 126 39 148 82 373 194 237 190 126 236 118 140 399 222- - - - - 31% 33% 29% 42% 43% 25% 9% 24% 24% 38% 29% 33% 30% 36% 31% 28% 29% 35% 26%

KL KL L MN u X

Working from the office

- - - - - 488 255 233 248 138 74 28 115 77 276 157 187 144 104 172 80 132 300 188- - - - - 24% 26% 22% 41% 29% 14% 7% 18% 23% 28% 24% 26% 22% 29% 23% 19% 28% 26% 22%

h JKL KL L M TU U x

Going to school oruniversity



14 Apr 2020Table 119FR05 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 712 813 353 338 441 393 511 261 706 502 524 500 248 589 341 347 854 672- - - - - 76% 74% 78% 59% 71% 86% 93% 82% 77% 72% 76% 74% 78% 71% 77% 81% 72% 74% 78%

g I IJ IJK O S SV w

Going to school oruniversity

- - - - - 1392 648 745 350 272 389 381 478 256 609 465 474 453 226 525 303 339 755 638- - - - - 69% 67% 71% 58% 57% 75% 91% 76% 76% 62% 71% 67% 70% 64% 69% 72% 71% 65% 74%

IJ IJK O O s W


- - - - - 1306 599 708 344 284 372 306 485 249 524 420 434 452 216 512 278 300 706 601- - - - - 65% 62% 68% 57% 60% 72% 73% 78% 74% 53% 64% 61% 70% 61% 67% 66% 63% 61% 70%

G IJ IJ O O pQ W


- - - - - 1271 582 689 294 283 383 311 466 226 536 420 398 452 207 505 276 283 717 554- - - - - 63% 60% 66% 49% 59% 74% 74% 74% 67% 55% 64% 56% 70% 59% 66% 65% 59% 62% 64%

G I IJ IJ NO O Q pQ sv

Going to the gym/work outclass

- - - - - 1155 552 603 290 249 341 275 399 192 522 397 349 409 178 441 259 276 662 493- - - - - 57% 57% 58% 48% 52% 66% 65% 64% 57% 53% 60% 49% 63% 51% 58% 62% 58% 57% 57%

IJ IJ nO Q Q s S

Going to my local coffeeshop

- - - - - 1120 523 598 275 225 304 317 399 192 489 397 339 384 167 438 253 262 635 486- - - - - 56% 54% 57% 46% 47% 59% 75% 64% 57% 50% 60% 48% 60% 48% 58% 60% 55% 55% 57%

IJ IJK nO o Q Q S S


- - - - - 1103 422 681 315 244 280 264 393 200 473 322 401 380 179 421 228 276 617 486- - - - - 55% 44% 65% 52% 51% 54% 63% 63% 59% 48% 49% 56% 59% 51% 55% 54% 58% 53% 57%

G IJk O O P P


- - - - - 1097 501 596 289 243 305 261 392 202 465 371 345 381 170 433 242 252 597 500- - - - - 54% 52% 57% 48% 51% 59% 62% 63% 60% 47% 56% 49% 59% 48% 57% 57% 53% 52% 58%

g IJ IJ O O Q Q S S W

Attending events likeconcerts, theatre andsporting events

- - - - - 1030 494 537 304 247 258 221 342 175 480 319 366 345 168 365 212 285 570 460- - - - - 51% 51% 51% 51% 52% 50% 53% 55% 52% 49% 48% 52% 54% 48% 48% 50% 59% 49% 54%

o STU

Going to church

- - - - - 822 413 410 221 182 223 195 318 129 344 282 255 285 132 322 185 183 460 362- - - - - 41% 43% 39% 37% 38% 43% 46% 51% 38% 35% 43% 36% 44% 37% 42% 44% 38% 40% 42%

i Ij NO Q Q

Going to a socialgathering,

- - - - - 672 363 309 197 139 178 157 223 111 317 217 214 241 110 248 149 164 377 295- - - - - 33% 37% 30% 33% 29% 35% 37% 36% 33% 32% 33% 30% 37% 31% 33% 35% 34% 33% 34%

H J Q

Shopping in stores

- - - - - 608 299 309 188 138 162 119 247 96 240 195 175 238 97 224 144 143 349 259- - - - - 30% 31% 30% 31% 29% 31% 28% 39% 28% 24% 30% 25% 37% 27% 29% 34% 30% 30% 30%

NO PQ

Dining out at arestaurant/bar

- - - - - 519 272 248 180 137 111 90 210 70 219 149 174 196 94 182 115 128 274 245- - - - - 26% 28% 24% 30% 29% 22% 22% 34% 21% 22% 23% 24% 31% 27% 24% 27% 27% 24% 28%

h KL Kl NO PQ w

Gatherings with friendsand family



14 Apr 2020Table 120FR05_1 How much would you say you miss each of the following during this time of virus-related shutdowns?







- - - - - 707 368 338 257 192 144 114 141 88 459 238 277 191 136 249 143 179 448 259- - - - - 35% 38% 32% 43% 40% 28% 27% 22% 26% 47% 36% 39% 30% 39% 33% 34% 37% 39% 30%

H KL KL MN r R X

A Lot/Somewhat (Net)

- - - - - 301 141 159 111 86 55 49 51 42 202 90 150 60 62 96 59 83 198 103- - - - - 15% 15% 15% 18% 18% 11% 12% 8% 13% 21% 14% 21% 9% 18% 13% 14% 17% 17% 12%

KL KL M MN r PR t t X

A lot

- - - - - 406 227 179 146 106 89 65 90 46 257 148 127 131 74 152 83 97 250 156- - - - - 20% 23% 17% 24% 22% 17% 16% 14% 14% 26% 22% 18% 20% 21% 20% 20% 20% 22% 18%

H KL L MN q

Somewhat

- - - - - 1306 599 708 344 284 372 306 485 249 524 420 434 452 216 512 278 300 706 601- - - - - 65% 62% 68% 57% 60% 72% 73% 78% 74% 53% 64% 61% 70% 61% 67% 66% 63% 61% 70%

G IJ IJ O O pQ W

Not At All/Not Very (Net)

- - - - - 343 164 179 127 67 99 50 84 63 188 92 144 107 65 123 72 83 191 152- - - - - 17% 17% 17% 21% 14% 19% 12% 13% 19% 19% 14% 20% 17% 18% 16% 17% 17% 17% 18%

JL jL m M P

Not very

- - - - - 963 434 529 217 217 273 256 402 186 336 328 290 345 151 389 207 217 514 449- - - - - 48% 45% 51% 36% 46% 53% 61% 64% 55% 34% 50% 41% 54% 43% 51% 49% 45% 45% 52%

G I Ij IJk NO O Q Q S W

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - 893 444 448 326 251 212 103 227 145 493 261 372 260 185 323 168 217 519 374- - - - - 44% 46% 43% 54% 53% 41% 25% 36% 43% 50% 40% 52% 40% 52% 42% 40% 45% 45% 43%

KL KL L m Mn PR TU


- - - - - 396 193 203 170 107 86 33 90 59 240 116 168 113 93 126 71 107 236 160- - - - - 20% 20% 19% 28% 22% 17% 8% 14% 18% 24% 18% 24% 17% 26% 17% 17% 22% 20% 19%

jKL kL L MN PR TU t

A lot

- - - - - 496 252 245 156 145 126 70 137 86 253 145 204 147 92 197 98 110 283 214- - - - - 25% 26% 23% 26% 30% 24% 17% 22% 25% 26% 22% 29% 23% 26% 26% 23% 23% 24% 25%

L kL L Pr

Somewhat

- - - - - 1120 523 598 275 225 304 317 399 192 489 397 339 384 167 438 253 262 635 486- - - - - 56% 54% 57% 46% 47% 59% 75% 64% 57% 50% 60% 48% 60% 48% 58% 60% 55% 55% 57%

IJ IJK nO o Q Q S S


- - - - - 358 172 186 115 82 87 74 109 55 179 108 124 126 62 133 76 87 220 138- - - - - 18% 18% 18% 19% 17% 17% 18% 17% 16% 18% 16% 17% 20% 18% 18% 18% 18% 19% 16%

Not very

- - - - - 762 351 412 160 143 217 243 290 137 311 289 215 258 105 305 177 175 415 347- - - - - 38% 36% 39% 27% 30% 42% 58% 46% 41% 32% 44% 30% 40% 30% 40% 42% 37% 36% 40%

IJ IJK O O Q Q S S

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Shopping in stores






- - - - - 1341 604 737 404 337 338 263 403 226 665 441 497 403 242 512 273 315 777 565- - - - - 67% 63% 70% 67% 71% 65% 63% 64% 67% 68% 67% 70% 63% 69% 67% 65% 66% 67% 66%

G L R


- - - - - 625 242 383 216 164 146 98 179 86 331 197 262 166 124 242 123 136 368 257- - - - - 31% 25% 37% 36% 35% 28% 23% 29% 25% 34% 30% 37% 26% 35% 32% 29% 28% 32% 30%

G KL kL mN PR v

A lot

- - - - - 716 362 354 188 172 191 164 224 140 334 244 235 237 118 270 150 179 409 307- - - - - 36% 37% 34% 31% 36% 37% 39% 36% 42% 34% 37% 33% 37% 33% 35% 36% 37% 35% 36%

i O

Somewhat

- - - - - 672 363 309 197 139 178 157 223 111 317 217 214 241 110 248 149 164 377 295- - - - - 33% 37% 30% 33% 29% 35% 37% 36% 33% 32% 33% 30% 37% 31% 33% 35% 34% 33% 34%

H J Q


- - - - - 396 224 173 132 74 97 93 124 67 194 126 129 142 73 153 83 88 230 166- - - - - 20% 23% 17% 22% 16% 19% 22% 20% 20% 20% 19% 18% 22% 21% 20% 20% 18% 20% 19%

H J J

Not very

- - - - - 275 139 136 65 66 81 64 99 44 123 91 85 99 38 95 66 76 147 129- - - - - 14% 14% 13% 11% 14% 16% 15% 16% 13% 13% 14% 12% 15% 11% 13% 16% 16% 13% 15%

i s

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - 621 319 301 252 204 126 39 148 82 373 194 237 190 126 236 118 140 399 222- - - - - 31% 33% 29% 42% 43% 25% 9% 24% 24% 38% 29% 33% 30% 36% 31% 28% 29% 35% 26%

KL KL L MN u X


- - - - - 261 132 128 99 78 67 17 56 36 163 83 106 71 52 100 41 67 188 73- - - - - 13% 14% 12% 16% 16% 13% 4% 9% 11% 17% 13% 15% 11% 15% 13% 10% 14% 16% 8%

L L L MN r u X

A lot

- - - - - 360 187 173 153 126 60 22 92 45 211 110 131 119 74 136 77 73 211 149- - - - - 18% 19% 17% 25% 26% 12% 5% 15% 13% 21% 17% 18% 19% 21% 18% 18% 15% 18% 17%

KL KL L MN v

Somewhat

- - - - - 1392 648 745 350 272 389 381 478 256 609 465 474 453 226 525 303 339 755 638- - - - - 69% 67% 71% 58% 57% 75% 91% 76% 76% 62% 71% 67% 70% 64% 69% 72% 71% 65% 74%

IJ IJK O O s W


- - - - - 270 147 122 103 67 72 28 78 35 146 74 112 84 53 97 52 68 155 115- - - - - 13% 15% 12% 17% 14% 14% 7% 12% 10% 15% 11% 16% 13% 15% 13% 12% 14% 13% 13%

h L L L P

Not very

- - - - - 1123 500 622 247 206 318 353 400 220 463 391 362 369 173 428 250 271 600 523- - - - - 56% 52% 60% 41% 43% 62% 84% 64% 65% 47% 59% 51% 57% 49% 56% 59% 57% 52% 61%

G IJ IJK O O Q q s S W

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 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






- - - - - 916 466 450 312 233 211 160 234 136 518 287 366 263 182 328 179 227 556 360- - - - - 46% 48% 43% 52% 49% 41% 38% 37% 40% 53% 44% 51% 41% 52% 43% 43% 47% 48% 42%

h KL KL MN PR TU X


- - - - - 430 220 210 169 109 98 54 96 64 259 145 160 125 79 142 94 114 266 164- - - - - 21% 23% 20% 28% 23% 19% 13% 15% 19% 26% 22% 22% 19% 23% 19% 22% 24% 23% 19%

jKL L l MN t x

A lot

- - - - - 486 246 241 143 124 113 106 138 72 259 142 206 138 102 186 85 112 290 196- - - - - 24% 25% 23% 24% 26% 22% 25% 22% 21% 26% 22% 29% 21% 29% 24% 20% 23% 25% 23%

m PR U

Somewhat

- - - - - 1097 501 596 289 243 305 261 392 202 465 371 345 381 170 433 242 252 597 500- - - - - 54% 52% 57% 48% 51% 59% 62% 63% 60% 47% 56% 49% 59% 48% 57% 57% 53% 52% 58%

g IJ IJ O O Q Q S S W


- - - - - 394 189 205 136 86 97 75 104 62 218 116 139 140 68 144 87 96 219 175- - - - - 20% 20% 20% 23% 18% 19% 18% 17% 18% 22% 18% 19% 22% 19% 19% 21% 20% 19% 20%

M

Not very

- - - - - 703 312 391 153 157 208 186 288 139 247 255 207 241 102 289 155 156 378 324- - - - - 35% 32% 37% 25% 33% 40% 44% 46% 41% 25% 39% 29% 37% 29% 38% 37% 33% 33% 38%

g I Ij IJ O O Q Q S s w

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 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 668 737 413 338 354 301 379 242 742 463 536 406 255 537 277 336 804 601- - - - - 70% 69% 70% 69% 71% 69% 72% 61% 72% 76% 70% 75% 63% 73% 71% 66% 70% 70% 70%

M M R R


- - - - - 670 295 374 226 172 143 129 165 102 385 229 270 172 133 241 135 160 397 273- - - - - 33% 31% 36% 38% 36% 28% 31% 26% 30% 39% 35% 38% 27% 38% 32% 32% 33% 34% 32%

g Kl K MN R R t

A lot

- - - - - 735 372 363 187 166 210 172 214 140 358 235 266 234 122 296 142 176 408 328- - - - - 37% 39% 35% 31% 35% 41% 41% 34% 41% 36% 36% 37% 36% 35% 39% 34% 37% 35% 38%

I I M

Somewhat

- - - - - 608 299 309 188 138 162 119 247 96 240 195 175 238 97 224 144 143 349 259- - - - - 30% 31% 30% 31% 29% 31% 28% 39% 28% 24% 30% 25% 37% 27% 29% 34% 30% 30% 30%

NO PQ


- - - - - 287 145 142 106 53 61 67 107 45 127 88 74 124 46 98 67 77 170 117- - - - - 14% 15% 14% 18% 11% 12% 16% 17% 13% 13% 13% 10% 19% 13% 13% 16% 16% 15% 14%

JK o PQ

Not very

- - - - - 321 154 167 82 85 101 52 140 51 112 106 101 114 51 126 77 66 179 141- - - - - 16% 16% 16% 14% 18% 20% 12% 22% 15% 11% 16% 14% 18% 14% 17% 18% 14% 16% 16%

l IL NO

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - 910 545 365 286 232 236 156 233 138 509 336 310 263 173 340 193 203 537 374- - - - - 45% 56% 35% 48% 49% 46% 37% 37% 41% 52% 51% 44% 41% 49% 45% 46% 42% 47% 43%

H L L l MN QR


- - - - - 481 306 176 142 131 131 77 112 77 278 192 168 122 101 164 97 120 292 189- - - - - 24% 32% 17% 24% 28% 25% 18% 18% 23% 28% 29% 24% 19% 29% 22% 23% 25% 25% 22%

H L l M qR r T

A lot

- - - - - 429 239 189 144 101 105 79 121 61 231 145 142 142 73 176 97 83 244 185- - - - - 21% 25% 18% 24% 21% 20% 19% 19% 18% 24% 22% 20% 22% 21% 23% 23% 17% 21% 21%

H n v

Somewhat

- - - - - 1103 422 681 315 244 280 264 393 200 473 322 401 380 179 421 228 276 617 486- - - - - 55% 44% 65% 52% 51% 54% 63% 63% 59% 48% 49% 56% 59% 51% 55% 54% 58% 53% 57%

G IJk O O P P


- - - - - 314 151 163 115 76 73 50 90 29 186 99 119 96 64 113 68 68 183 131- - - - - 16% 16% 16% 19% 16% 14% 12% 14% 9% 19% 15% 17% 15% 18% 15% 16% 14% 16% 15%

kL N MN

Not very

- - - - - 789 271 518 200 168 207 214 303 170 287 223 282 284 114 307 160 208 434 355- - - - - 39% 28% 50% 33% 35% 40% 51% 48% 50% 29% 34% 40% 44% 32% 40% 38% 43% 38% 41%

G i IJK O O p P S S

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 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 695 799 421 339 404 330 416 267 763 509 537 447 258 579 306 351 879 615- - - - - 74% 72% 76% 70% 71% 78% 78% 66% 79% 78% 77% 76% 69% 73% 76% 73% 73% 76% 72%

g IJ Ij M M R R x


- - - - - 833 318 515 253 177 215 188 236 130 439 275 330 228 155 301 161 216 493 340- - - - - 41% 33% 49% 42% 37% 42% 45% 38% 39% 45% 42% 46% 35% 44% 40% 38% 45% 43% 40%

G j M r R

A lot

- - - - - 661 378 283 168 162 190 142 180 137 324 234 207 219 103 278 145 135 386 275- - - - - 33% 39% 27% 28% 34% 37% 34% 29% 41% 33% 36% 29% 34% 29% 37% 34% 28% 33% 32%

H i I MO Q sV

Somewhat

- - - - - 519 272 248 180 137 111 90 210 70 219 149 174 196 94 182 115 128 274 245- - - - - 26% 28% 24% 30% 29% 22% 22% 34% 21% 22% 23% 24% 31% 27% 24% 27% 27% 24% 28%

h KL Kl NO PQ w


- - - - - 230 138 92 92 52 46 41 90 25 111 54 75 102 48 74 54 54 119 111- - - - - 11% 14% 9% 15% 11% 9% 10% 14% 7% 11% 8% 11% 16% 14% 10% 13% 11% 10% 13%

H jKl N n PQ

Not very

- - - - - 289 134 155 88 85 66 50 119 45 108 95 99 95 46 108 61 74 155 133- - - - - 14% 14% 15% 15% 18% 13% 12% 19% 13% 11% 14% 14% 15% 13% 14% 14% 15% 13% 16%

kl NO

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to church






- - - - - 983 473 509 297 229 257 199 284 163 502 339 345 299 184 396 209 194 583 399- - - - - 49% 49% 49% 49% 48% 50% 47% 45% 48% 51% 52% 48% 46% 52% 52% 50% 41% 51% 46%

m V V V


- - - - - 504 240 264 135 124 129 116 136 86 267 195 170 140 79 200 105 120 304 200- - - - - 25% 25% 25% 22% 26% 25% 28% 22% 25% 27% 30% 24% 22% 22% 26% 25% 25% 26% 23%

M qR

A lot

- - - - - 479 234 245 162 106 128 83 148 77 235 145 175 159 105 196 104 74 280 199- - - - - 24% 24% 23% 27% 22% 25% 20% 24% 23% 24% 22% 25% 25% 30% 26% 25% 15% 24% 23%

L V V V

Somewhat

- - - - - 1030 494 537 304 247 258 221 342 175 480 319 366 345 168 365 212 285 570 460- - - - - 51% 51% 51% 51% 52% 50% 53% 55% 52% 49% 48% 52% 54% 48% 48% 50% 59% 49% 54%

o STU


- - - - - 263 125 138 101 55 57 52 93 48 115 85 96 83 39 95 47 82 159 104- - - - - 13% 13% 13% 17% 11% 11% 12% 15% 14% 12% 13% 14% 13% 11% 13% 11% 17% 14% 12%

JK stU

Not very

- - - - - 767 368 399 203 192 202 169 249 127 365 234 270 263 130 270 165 203 411 356- - - - - 38% 38% 38% 34% 40% 39% 40% 40% 38% 37% 36% 38% 41% 37% 35% 39% 42% 36% 41%

i t W

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to school or university






- - - - - 488 255 233 248 138 74 28 115 77 276 157 187 144 104 172 80 132 300 188- - - - - 24% 26% 22% 41% 29% 14% 7% 18% 23% 28% 24% 26% 22% 29% 23% 19% 28% 26% 22%

h JKL KL L M TU U x


- - - - - 233 104 129 124 58 36 16 41 44 141 76 94 64 53 78 29 73 139 94- - - - - 12% 11% 12% 21% 12% 7% 4% 7% 13% 14% 12% 13% 10% 15% 10% 7% 15% 12% 11%

JKL KL M M tU TU

A lot

- - - - - 255 151 104 124 79 39 12 74 33 135 81 93 80 51 94 51 59 161 94- - - - - 13% 16% 10% 21% 17% 8% 3% 12% 10% 14% 12% 13% 12% 14% 12% 12% 12% 14% 11%

H KL KL L

Somewhat

- - - - - 1525 712 813 353 338 441 393 511 261 706 502 524 500 248 589 341 347 854 672- - - - - 76% 74% 78% 59% 71% 86% 93% 82% 77% 72% 76% 74% 78% 71% 77% 81% 72% 74% 78%

g I IJ IJK O S SV w


- - - - - 225 122 103 99 64 48 14 72 36 113 62 84 79 39 84 45 57 126 99- - - - - 11% 13% 10% 16% 13% 9% 3% 11% 11% 12% 9% 12% 12% 11% 11% 11% 12% 11% 12%

KL L L

Not very

- - - - - 1300 590 710 254 275 393 378 440 225 593 440 440 420 209 504 297 290 727 573- - - - - 65% 61% 68% 42% 58% 76% 90% 70% 67% 60% 67% 62% 65% 59% 66% 70% 61% 63% 67%

G I IJ IJK O o s SV

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 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






- - - - - 742 385 357 307 193 132 110 160 112 446 238 313 191 145 256 145 196 437 306- - - - - 37% 40% 34% 51% 41% 26% 26% 26% 33% 45% 36% 44% 30% 41% 34% 35% 41% 38% 36%

H JKL KL M MN r PR t t


- - - - - 347 167 181 139 84 67 57 70 48 218 114 155 78 66 119 68 94 223 124- - - - - 17% 17% 17% 23% 18% 13% 14% 11% 14% 22% 17% 22% 12% 19% 16% 16% 20% 19% 14%

jKL k MN R R X

A lot

- - - - - 395 219 176 168 109 66 52 90 64 228 124 158 113 79 137 77 102 214 181- - - - - 20% 23% 17% 28% 23% 13% 12% 14% 19% 23% 19% 22% 18% 22% 18% 18% 21% 19% 21%

H KL KL M r

Somewhat

- - - - - 1271 582 689 294 283 383 311 466 226 536 420 398 452 207 505 276 283 717 554- - - - - 63% 60% 66% 49% 59% 74% 74% 74% 67% 55% 64% 56% 70% 59% 66% 65% 59% 62% 64%

G I IJ IJ NO O Q pQ sv


- - - - - 294 156 138 130 77 56 31 92 43 147 83 84 127 55 126 63 50 166 128- - - - - 15% 16% 13% 22% 16% 11% 7% 15% 13% 15% 13% 12% 20% 16% 17% 15% 11% 14% 15%

jKL KL PQ v V

Not very

- - - - - 977 425 552 164 206 327 280 375 183 389 337 314 325 152 379 213 233 551 426- - - - - 49% 44% 53% 27% 43% 63% 67% 60% 54% 40% 51% 44% 51% 43% 50% 51% 49% 48% 50%

G I IJ IJ O O Q q s s

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 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 554 636 380 294 292 225 308 208 639 376 456 358 220 438 236 296 693 498- - - - - 59% 57% 61% 63% 62% 57% 54% 49% 62% 65% 57% 64% 56% 63% 58% 56% 62% 60% 58%

kL l M M PR


- - - - - 509 200 309 199 120 96 93 131 85 276 160 222 127 111 173 92 132 291 218- - - - - 25% 21% 30% 33% 25% 19% 22% 21% 25% 28% 24% 31% 20% 32% 23% 22% 28% 25% 25%

G JKL K M PR TU

A lot

- - - - - 682 355 327 181 174 196 132 177 123 362 216 234 232 109 266 144 163 402 280- - - - - 34% 37% 31% 30% 36% 38% 31% 28% 36% 37% 33% 33% 36% 31% 35% 34% 34% 35% 33%

H i I M M

Somewhat

- - - - - 822 413 410 221 182 223 195 318 129 344 282 255 285 132 322 185 183 460 362- - - - - 41% 43% 39% 37% 38% 43% 46% 51% 38% 35% 43% 36% 44% 37% 42% 44% 38% 40% 42%

i Ij NO Q Q


- - - - - 356 188 168 110 76 90 80 128 41 174 108 111 136 58 128 87 83 206 150- - - - - 18% 19% 16% 18% 16% 17% 19% 20% 12% 18% 16% 16% 21% 16% 17% 21% 17% 18% 17%

N n pQ

Not very

- - - - - 466 224 242 112 106 133 115 190 88 169 174 143 149 74 194 98 100 254 212- - - - - 23% 23% 23% 19% 22% 26% 27% 30% 26% 17% 26% 20% 23% 21% 25% 23% 21% 22% 25%

I I O O Q

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 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






- - - - - 858 415 443 311 227 175 145 227 145 460 261 362 235 174 320 162 203 491 367- - - - - 43% 43% 42% 52% 48% 34% 35% 36% 43% 47% 40% 51% 37% 49% 42% 38% 42% 43% 43%

KL KL m M PR tU


- - - - - 360 154 206 149 100 56 55 95 51 206 113 159 88 75 116 68 101 218 142- - - - - 18% 16% 20% 25% 21% 11% 13% 15% 15% 21% 17% 22% 14% 21% 15% 16% 21% 19% 17%

g KL KL Mn pR T T

A lot

- - - - - 498 261 237 162 127 119 90 132 94 254 148 203 147 98 204 94 102 273 225- - - - - 25% 27% 23% 27% 27% 23% 21% 21% 28% 26% 22% 29% 23% 28% 27% 22% 21% 24% 26%

h M m Pr v v

Somewhat

- - - - - 1155 552 603 290 249 341 275 399 192 522 397 349 409 178 441 259 276 662 493- - - - - 57% 57% 58% 48% 52% 66% 65% 64% 57% 53% 60% 49% 63% 51% 58% 62% 58% 57% 57%

IJ IJ nO Q Q s S


- - - - - 342 196 145 125 81 88 49 91 47 192 111 122 109 69 111 67 95 195 146- - - - - 17% 20% 14% 21% 17% 17% 12% 15% 14% 20% 17% 17% 17% 20% 15% 16% 20% 17% 17%

H L l l Mn t t

Not very

- - - - - 813 356 458 165 169 253 226 308 146 329 286 227 300 109 330 193 182 467 346- - - - - 40% 37% 44% 28% 35% 49% 54% 49% 43% 34% 43% 32% 47% 31% 43% 46% 38% 40% 40%

G I IJ IJ O O Q Q S Sv

Not at all

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 133Q22 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 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base2050 2019 2023 -** -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

1608 1618 1780 - - 1763 823 940 500 420 454 389 529 300 874 577 648 537 313 667 374 409 1012 75078% 80% 88% - - 88% 85% 90% 83% 88% 88% 92% 84% 89% 89% 88% 91% 83% 89% 88% 89% 85% 88% 87%

AB AB G i i Ik m M r R

Healthcare workers(doctors, nurses,supporting staff)

1395 1424 1672 - - 1692 784 909 483 412 434 364 505 297 835 537 647 508 289 650 350 403 973 71968% 71% 83% - - 84% 81% 87% 80% 87% 84% 87% 81% 88% 85% 82% 91% 79% 82% 85% 83% 84% 84% 84%

AB AB G I I M m PR

Surgical masks and gloves

1538 1479 1660 - - 1688 784 904 476 405 427 380 496 289 845 540 637 510 295 641 347 405 977 71175% 73% 82% - - 84% 81% 86% 79% 85% 83% 90% 79% 86% 86% 82% 90% 79% 84% 84% 82% 85% 85% 83%

AB AB G I IjK M M PR

Testing kits for COVID-19

1525 1547 1738 - - 1688 771 916 486 421 424 356 512 289 827 528 648 512 295 640 351 402 966 72274% 77% 86% - - 84% 80% 88% 81% 89% 82% 85% 82% 86% 84% 80% 91% 80% 84% 84% 83% 84% 84% 84%

AB AB G IK PR

Hospital ventilators (forassisted breathing)

1540 1554 1740 - - 1644 758 886 478 400 412 354 504 280 807 530 620 495 292 622 339 391 935 70975% 77% 86% - - 82% 78% 85% 79% 84% 80% 84% 81% 83% 82% 80% 87% 77% 83% 82% 81% 82% 81% 82%

ABF AB G PR

Hospital beds (room forpatients)



14 Apr 2020Table 134Q22 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 - - 369 209 160 124 76 103 66 122 58 175 129 91 149 60 139 82 88 218 15125% 23% 14% - - 18% 22% 15% 21% 16% 20% 16% 19% 17% 18% 20% 13% 23% 17% 18% 19% 18% 19% 18%CF CF C H Q Q

Hospital beds (room forpatients)

525 472 285 - - 325 196 130 115 55 92 64 114 48 155 131 63 131 57 121 70 77 188 13826% 23% 14% - - 16% 20% 12% 19% 11% 18% 15% 18% 14% 16% 20% 9% 20% 16% 16% 17% 16% 16% 16%CF CF H J J Q Q

Hospital ventilators (forassisted breathing)

512 540 363 - - 325 182 142 125 71 88 40 130 49 137 118 74 133 57 120 74 74 176 14925% 27% 18% - - 16% 19% 14% 21% 15% 17% 10% 21% 14% 14% 18% 10% 21% 16% 16% 18% 15% 15% 17%CF CF H JL l L NO Q Q


655 595 351 - - 321 183 137 118 64 82 56 121 40 147 121 64 135 63 111 72 75 180 14032% 29% 17% - - 16% 19% 13% 20% 13% 16% 13% 19% 12% 15% 18% 9% 21% 18% 15% 17% 16% 16% 16%CF CF H JL No Q Q


442 401 243 - - 250 144 106 101 56 62 32 97 37 108 81 63 106 40 94 47 70 141 10922% 20% 12% - - 12% 15% 10% 17% 12% 12% 8% 16% 11% 11% 12% 9% 17% 11% 12% 11% 15% 12% 13%CF CF H jkL l nO pQ

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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 135Q22_1 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?







1395 1424 1672 - - 1692 784 909 483 412 434 364 505 297 835 537 647 508 289 650 350 403 973 71968% 71% 83% - - 84% 81% 87% 80% 87% 84% 87% 81% 88% 85% 82% 91% 79% 82% 85% 83% 84% 84% 84%

AB AB G I I M m PR


644 743 1089 - - 1068 427 641 290 276 258 245 321 190 520 305 441 322 174 400 237 257 630 43831% 37% 54% - - 53% 44% 61% 48% 58% 50% 58% 51% 56% 53% 46% 62% 50% 49% 53% 56% 54% 55% 51%

A AB AB G IK Ik PR

Very concerned

751 682 583 - - 624 357 267 193 136 176 120 184 107 315 232 206 186 116 250 113 146 343 28137% 34% 29% - - 31% 37% 26% 32% 29% 34% 28% 29% 32% 32% 35% 29% 29% 33% 33% 27% 31% 30% 33%CF C H Qr u

Somewhat concerned

655 595 351 - - 321 183 137 118 64 82 56 121 40 147 121 64 135 63 111 72 75 180 14032% 29% 17% - - 16% 19% 13% 20% 13% 16% 13% 19% 12% 15% 18% 9% 21% 18% 15% 17% 16% 16% 16%CF CF H JL No Q Q


393 351 231 - - 215 127 88 75 39 56 44 74 28 105 78 39 98 44 78 46 46 128 8719% 17% 11% - - 11% 13% 8% 13% 8% 11% 10% 12% 8% 11% 12% 6% 15% 12% 10% 11% 10% 11% 10%CF CF H j Q Q

Not very concerned

262 243 120 - - 106 57 49 43 25 26 12 48 12 42 44 25 37 19 32 25 29 53 5313% 12% 6% - - 5% 6% 5% 7% 5% 5% 3% 8% 3% 4% 7% 3% 6% 5% 4% 6% 6% 5% 6%CF CF L NO Q


2050 2019 2023 - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 784 904 476 405 427 380 496 289 845 540 637 510 295 641 347 405 977 71175% 73% 82% - - 84% 81% 86% 79% 85% 83% 90% 79% 86% 86% 82% 90% 79% 84% 84% 82% 85% 85% 83%

AB AB G I IjK M M PR


834 828 1009 - - 1076 464 612 296 272 260 247 322 185 531 292 456 328 179 423 235 239 633 44341% 41% 50% - - 53% 48% 58% 49% 57% 50% 59% 51% 55% 54% 44% 64% 51% 51% 56% 56% 50% 55% 51%

AB ABc G Ik Ik PR p

Very concerned

704 651 651 - - 612 320 292 179 133 167 132 175 104 314 249 181 182 117 218 111 166 344 26834% 32% 32% - - 30% 33% 28% 30% 28% 32% 32% 28% 31% 32% 38% 25% 28% 33% 29% 26% 35% 30% 31%F H QR u tU

Somewhat concerned

512 540 363 - - 325 182 142 125 71 88 40 130 49 137 118 74 133 57 120 74 74 176 14925% 27% 18% - - 16% 19% 14% 21% 15% 17% 10% 21% 14% 14% 18% 10% 21% 16% 16% 18% 15% 15% 17%CF CF H JL l L NO Q Q


309 343 250 - - 203 114 89 78 39 57 28 75 32 93 72 47 83 36 83 38 46 109 9315% 17% 12% - - 10% 12% 8% 13% 8% 11% 7% 12% 9% 10% 11% 7% 13% 10% 11% 9% 10% 9% 11%CF CF f h JL l Q Q

Not very concerned

203 198 113 - - 122 68 54 47 32 31 12 55 17 44 45 26 50 21 37 36 28 67 5610% 10% 6% - - 6% 7% 5% 8% 7% 6% 3% 9% 5% 4% 7% 4% 8% 6% 5% 9% 6% 6% 6%CF CF L L l nO Q Q T


2050 2019 2023 - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 758 886 478 400 412 354 504 280 807 530 620 495 292 622 339 391 935 70975% 77% 86% - - 82% 78% 85% 79% 84% 80% 84% 81% 83% 82% 80% 87% 77% 83% 82% 81% 82% 81% 82%

ABF AB G PR


766 857 1075 - - 959 400 559 260 245 227 227 291 170 469 284 413 262 166 378 200 214 569 38937% 42% 53% - - 48% 41% 53% 43% 52% 44% 54% 46% 50% 48% 43% 58% 41% 47% 50% 47% 45% 49% 45%

A ABF AB G Ik IK PR

Very concerned

774 697 665 - - 685 358 327 218 155 186 127 214 110 338 246 207 233 126 244 140 177 366 32038% 35% 33% - - 34% 37% 31% 36% 32% 36% 30% 34% 33% 34% 37% 29% 36% 36% 32% 33% 37% 32% 37%Cf H Q Q W

Somewhat concerned

510 465 283 - - 369 209 160 124 76 103 66 122 58 175 129 91 149 60 139 82 88 218 15125% 23% 14% - - 18% 22% 15% 21% 16% 20% 16% 19% 17% 18% 20% 13% 23% 17% 18% 19% 18% 19% 18%CF CF C H Q Q


301 282 196 - - 255 150 105 84 48 73 50 71 40 134 88 59 107 44 104 50 57 158 9615% 14% 10% - - 13% 16% 10% 14% 10% 14% 12% 11% 12% 14% 13% 8% 17% 12% 14% 12% 12% 14% 11%C C C H Q Q

Not very concerned

209 183 86 - - 114 59 55 40 28 30 16 51 18 41 41 32 41 16 36 32 31 60 5410% 9% 4% - - 6% 6% 5% 7% 6% 6% 4% 8% 5% 4% 6% 4% 6% 5% 5% 8% 6% 5% 6%CF CF O


2050 2019 2023 - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 771 916 486 421 424 356 512 289 827 528 648 512 295 640 351 402 966 72274% 77% 86% - - 84% 80% 88% 81% 89% 82% 85% 82% 86% 84% 80% 91% 80% 84% 84% 83% 84% 84% 84%

AB AB G IK PR


738 842 1151 - - 1047 427 620 295 274 242 237 320 189 493 292 441 314 181 417 222 227 604 44336% 42% 57% - - 52% 44% 59% 49% 57% 47% 56% 51% 56% 50% 44% 62% 49% 51% 55% 53% 47% 52% 52%

A ABF AB G IK iK PR v

Very concerned

787 705 586 - - 641 344 297 192 148 182 119 192 100 334 236 207 198 114 223 129 175 362 27938% 35% 29% - - 32% 36% 28% 32% 31% 35% 28% 31% 30% 34% 36% 29% 31% 32% 29% 31% 36% 31% 32%

bCF C H l Q T

Somewhat concerned

525 472 285 - - 325 196 130 115 55 92 64 114 48 155 131 63 131 57 121 70 77 188 13826% 23% 14% - - 16% 20% 12% 19% 11% 18% 15% 18% 14% 16% 20% 9% 20% 16% 16% 17% 16% 16% 16%CF CF H J J Q Q


322 280 189 - - 220 135 85 74 30 62 54 65 35 118 86 45 89 45 85 40 49 134 8516% 14% 9% - - 11% 14% 8% 12% 6% 12% 13% 10% 10% 12% 13% 6% 14% 13% 11% 9% 10% 12% 10%CF CF H J J J Q Q

Not very concerned

203 192 96 - - 106 61 45 41 25 30 11 49 14 38 45 18 43 12 36 31 28 54 5210% 9% 5% - - 5% 6% 4% 7% 5% 6% 3% 8% 4% 4% 7% 3% 7% 3% 5% 7% 6% 5% 6%CF CF L l NO Q Q s


2050 2019 2023 - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 823 940 500 420 454 389 529 300 874 577 648 537 313 667 374 409 1012 75078% 80% 88% - - 88% 85% 90% 83% 88% 88% 92% 84% 89% 89% 88% 91% 83% 89% 88% 89% 85% 88% 87%

AB AB G i i Ik m M r R


863 940 1186 - - 1139 495 644 284 286 290 280 343 198 556 342 442 356 205 434 249 251 667 47242% 47% 59% - - 57% 51% 62% 47% 60% 56% 67% 55% 59% 57% 52% 62% 55% 58% 57% 59% 52% 58% 55%

A AB AB G I I IK PR

Very concerned

745 678 595 - - 623 328 295 217 135 163 109 186 102 318 236 206 181 108 232 125 158 345 27836% 34% 29% - - 31% 34% 28% 36% 28% 32% 26% 30% 30% 32% 36% 29% 28% 31% 31% 30% 33% 30% 32%CF C H JL QR

Somewhat concerned

442 401 243 - - 250 144 106 101 56 62 32 97 37 108 81 63 106 40 94 47 70 141 10922% 20% 12% - - 12% 15% 10% 17% 12% 12% 8% 16% 11% 11% 12% 9% 17% 11% 12% 11% 15% 12% 13%CF CF H jkL l nO pQ


259 235 162 - - 149 89 60 61 29 38 21 52 25 67 41 34 73 28 56 19 45 89 5913% 12% 8% - - 7% 9% 6% 10% 6% 7% 5% 8% 7% 7% 6% 5% 11% 8% 7% 5% 9% 8% 7%CF CF H JL PQ U

Not very concerned

183 166 81 - - 102 55 46 40 27 24 11 45 12 41 40 29 33 12 37 28 24 52 509% 8% 4% - - 5% 6% 4% 7% 6% 5% 3% 7% 4% 4% 6% 4% 5% 3% 5% 7% 5% 4% 6%

CF CF L l NO


2050 2019 2023 - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 140FR06 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies have

taken in response to the pandemic. Do these actions improve or worsen your opinion of the company?

Summary Of Strongly/Somewhat Improve Opinion






- - - - 1831 1781 833 947 477 404 483 417 553 316 858 593 636 552 301 672 382 426 1007 774- - - - 92% 88% 86% 91% 79% 85% 94% 99% 88% 94% 87% 90% 89% 86% 85% 88% 91% 89% 87% 90%

F G i IJ IJK MO r r s

Company donates money,supplies or employee’stime to aid relief incommunities.

- - - - 1817 1781 821 960 481 406 484 409 549 311 874 589 630 561 299 677 386 419 1027 753- - - - 91% 88% 85% 92% 80% 85% 94% 97% 88% 92% 89% 89% 89% 87% 85% 89% 92% 87% 89% 88%

F G i IJ IJk m S

Company allowscustomers to forgopayments for up to 6months or offers lowerinterest rates or otherprograms.

- - - - 1812 1773 816 957 471 407 487 408 552 308 862 586 625 561 302 664 387 420 1007 766- - - - 91% 88% 84% 91% 78% 85% 94% 97% 88% 91% 88% 89% 88% 87% 86% 87% 92% 88% 87% 89%

F G I IJ IJ St

Company shifts productionto make equipment orsupplies necessary to fightthe pandemic.

- - - - 1678 1666 776 890 423 372 472 399 518 291 808 556 591 519 272 647 358 389 969 697- - - - 84% 83% 80% 85% 70% 78% 92% 95% 83% 86% 82% 84% 83% 81% 77% 85% 85% 81% 84% 81%

G I IJ IJ S S

Company executivesforgoes salaries, bonusesor other compensation.

- - - - 1708 1648 774 874 429 365 467 387 513 282 803 565 570 514 265 637 343 403 959 689- - - - 86% 82% 80% 84% 71% 77% 91% 92% 82% 84% 82% 86% 80% 80% 75% 84% 81% 84% 83% 80%

F IJ IJ QR S s S

Company promises torelocate theirmanufacturing away fromChina and back to theUnited States.

- - - - 1120 1103 539 564 334 282 269 217 366 180 526 396 383 325 193 444 225 241 653 449- - - - 56% 55% 56% 54% 56% 59% 52% 52% 59% 53% 54% 60% 54% 50% 55% 58% 54% 50% 57% 52%

kl qR V

Company harmed by thecrisis asking for a bailoutfrom the federalgovernment.____________________________________________________________________________________________________________________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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 141FR06 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies have


Summary Of Strongly/Somewhat Worse Opinion






- - - - 873 910 428 483 267 194 246 203 260 157 456 263 329 319 159 317 196 238 500 410- - - - 44% 45% 44% 46% 44% 41% 48% 48% 41% 47% 46% 40% 46% 50% 45% 42% 46% 50% 43% 48%

j j p P T

Company harmed by thecrisis asking for a bailoutfrom the federalgovernment.

- - - - 285 365 193 172 172 112 48 33 113 55 180 94 142 130 87 124 79 76 194 171- - - - 14% 18% 20% 16% 29% 23% 9% 8% 18% 16% 18% 14% 20% 20% 25% 16% 19% 16% 17% 20%

E KL KL P P TuV

Company promises torelocate theirmanufacturing away fromChina and back to theUnited States.

- - - - 315 347 191 156 178 104 44 21 108 47 174 102 120 124 80 114 63 90 184 163- - - - 16% 17% 20% 15% 30% 22% 8% 5% 17% 14% 18% 16% 17% 19% 23% 15% 15% 19% 16% 19%

H JKL KL TU

Company executivesforgoes salaries, bonusesor other compensation.

- - - - 181 240 151 89 130 70 29 12 74 30 121 72 86 82 50 97 34 59 147 93- - - - 9% 12% 16% 9% 22% 15% 6% 3% 12% 9% 12% 11% 12% 13% 14% 13% 8% 12% 13% 11%

E H JKL KL U u

Company shifts productionto make equipment orsupplies necessary to fightthe pandemic.

- - - - 176 232 146 86 120 70 31 11 77 27 108 69 81 82 53 84 36 60 126 106- - - - 9% 12% 15% 8% 20% 15% 6% 3% 12% 8% 11% 11% 11% 13% 15% 11% 8% 13% 11% 12%

E H jKL KL l n U

Company allowscustomers to forgopayments for up to 6months or offers lowerinterest rates or otherprograms.

- - - - 162 232 134 99 124 72 33 3 73 21 125 66 75 92 52 88 39 53 147 85- - - - 8% 12% 14% 9% 21% 15% 6% 1% 12% 6% 13% 10% 11% 14% 15% 12% 9% 11% 13% 10%

E H jKL KL L N N pq u

Company donates money,supplies or employee’stime to aid relief incommunities.____________________________________________________________________________________________________________________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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


14 Apr 2020Table 142FR06_1 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies have


Company executives forgoes salaries, bonuses or other compensation.






- - - - 1678 1666 776 890 423 372 472 399 518 291 808 556 591 519 272 647 358 389 969 697- - - - 84% 83% 80% 85% 70% 78% 92% 95% 83% 86% 82% 84% 83% 81% 77% 85% 85% 81% 84% 81%

G I IJ IJ S S

Strongly/SomewhatImprove Opinion (Net)

- - - - 993 943 389 554 210 202 261 270 299 174 447 333 333 277 128 399 214 203 563 380- - - - 50% 47% 40% 53% 35% 42% 51% 64% 48% 52% 46% 51% 47% 43% 36% 52% 51% 42% 49% 44%

G I IJ IJK R SV Sv

Strongly improve your opinion

- - - - 685 723 387 336 213 169 211 130 219 117 361 223 257 243 145 248 144 187 406 317- - - - 34% 36% 40% 32% 35% 36% 41% 31% 35% 35% 37% 34% 36% 38% 41% 33% 34% 39% 35% 37%

H L T t

Somewhat improve your opinion

- - - - 315 347 191 156 178 104 44 21 108 47 174 102 120 124 80 114 63 90 184 163- - - - 16% 17% 20% 15% 30% 22% 8% 5% 17% 14% 18% 16% 17% 19% 23% 15% 15% 19% 16% 19%

H JKL KL TU

Strongly/Somewhat WorseOpinion (Net)

- - - - 205 228 125 103 130 58 25 15 70 31 117 68 79 81 47 74 48 58 114 115- - - - 10% 11% 13% 10% 22% 12% 5% 4% 11% 9% 12% 10% 11% 13% 13% 10% 11% 12% 10% 13%

h JKL KL w

Somewhat worsen your opinion

- - - - 110 119 66 53 48 46 19 6 38 16 57 35 41 43 33 40 15 31 71 48- - - - 6% 6% 7% 5% 8% 10% 4% 1% 6% 5% 6% 5% 6% 7% 9% 5% 4% 6% 6% 6%

KL KL TU

Strongly worsen your opinion

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Company harmed by the crisis asking for a bailout from the federal government.






- - - - 1120 1103 539 564 334 282 269 217 366 180 526 396 383 325 193 444 225 241 653 449- - - - 56% 55% 56% 54% 56% 59% 52% 52% 59% 53% 54% 60% 54% 50% 55% 58% 54% 50% 57% 52%

kl qR V


- - - - 388 327 170 157 119 99 71 38 124 40 156 100 126 101 57 140 61 68 206 120- - - - 19% 16% 18% 15% 20% 21% 14% 9% 20% 12% 16% 15% 18% 16% 16% 18% 15% 14% 18% 14%

F KL KL No x


- - - - 732 776 369 407 215 183 198 179 243 141 370 296 256 224 136 304 164 172 447 329- - - - 37% 39% 38% 39% 36% 38% 38% 43% 39% 42% 38% 45% 36% 35% 39% 40% 39% 36% 39% 38%

i QR


- - - - 873 910 428 483 267 194 246 203 260 157 456 263 329 319 159 317 196 238 500 410- - - - 44% 45% 44% 46% 44% 41% 48% 48% 41% 47% 46% 40% 46% 50% 45% 42% 46% 50% 43% 48%

j j p P T


- - - - 708 722 325 397 199 145 201 176 198 133 367 214 257 251 114 248 152 208 398 324- - - - 36% 36% 34% 38% 33% 30% 39% 42% 32% 39% 37% 33% 36% 39% 32% 33% 36% 43% 34% 38%

J IJ M m p STu


- - - - 166 189 103 86 68 49 45 27 62 24 90 49 72 68 45 69 44 31 102 87- - - - 8% 9% 11% 8% 11% 10% 9% 6% 10% 7% 9% 7% 10% 11% 13% 9% 10% 6% 9% 10%

L l V v


- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Company shifts production to make equipment or supplies necessary to fight the pandemic.






- - - - 1812 1773 816 957 471 407 487 408 552 308 862 586 625 561 302 664 387 420 1007 766- - - - 91% 88% 84% 91% 78% 85% 94% 97% 88% 91% 88% 89% 88% 87% 86% 87% 92% 88% 87% 89%

F G I IJ IJ St


- - - - 1236 1119 469 650 251 241 313 314 352 190 547 393 380 346 170 427 256 267 646 473- - - - 62% 56% 48% 62% 42% 51% 61% 75% 56% 56% 56% 60% 53% 54% 48% 56% 61% 56% 56% 55%

F G I IJ IJK qr S S s


- - - - 575 654 347 307 221 166 174 94 200 118 314 193 246 215 132 237 131 153 361 294- - - - 29% 33% 36% 29% 37% 35% 34% 22% 32% 35% 32% 29% 35% 33% 38% 31% 31% 32% 31% 34%

E H L L L t


- - - - 181 240 151 89 130 70 29 12 74 30 121 72 86 82 50 97 34 59 147 93- - - - 9% 12% 16% 9% 22% 15% 6% 3% 12% 9% 12% 11% 12% 13% 14% 13% 8% 12% 13% 11%

E H JKL KL U u


- - - - 134 162 97 65 94 40 21 7 50 19 81 52 53 57 30 63 25 45 90 72- - - - 7% 8% 10% 6% 16% 8% 4% 2% 8% 6% 8% 8% 7% 9% 8% 8% 6% 9% 8% 8%

H JKL KL


- - - - 47 78 54 24 36 30 7 5 24 11 40 20 33 25 20 34 9 14 57 21- - - - 2% 4% 6% 2% 6% 6% 1% 1% 4% 3% 4% 3% 5% 4% 6% 5% 2% 3% 5% 2%

E H KL KL U X


- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Company promises to relocate their manufacturing away from China and back to the United States.






- - - - 1708 1648 774 874 429 365 467 387 513 282 803 565 570 514 265 637 343 403 959 689- - - - 86% 82% 80% 84% 71% 77% 91% 92% 82% 84% 82% 86% 80% 80% 75% 84% 81% 84% 83% 80%

F IJ IJ QR S s S


- - - - 919 900 408 492 175 198 282 244 294 155 424 358 280 262 139 350 194 217 546 354- - - - 46% 45% 42% 47% 29% 42% 55% 58% 47% 46% 43% 54% 39% 41% 39% 46% 46% 45% 47% 41%

g I IJ IJ QR X


- - - - 789 748 366 382 254 166 185 143 219 127 379 207 289 252 126 287 148 186 414 334- - - - 40% 37% 38% 36% 42% 35% 36% 34% 35% 38% 39% 31% 41% 39% 36% 38% 35% 39% 36% 39%

JkL P P


- - - - 285 365 193 172 172 112 48 33 113 55 180 94 142 130 87 124 79 76 194 171- - - - 14% 18% 20% 16% 29% 23% 9% 8% 18% 16% 18% 14% 20% 20% 25% 16% 19% 16% 17% 20%

E KL KL P P TuV


- - - - 203 254 125 129 118 77 37 22 82 45 117 66 102 86 57 86 56 55 126 129- - - - 10% 13% 13% 12% 20% 16% 7% 5% 13% 13% 12% 10% 14% 13% 16% 11% 13% 11% 11% 15%

e KL KL p t W


- - - - 82 111 68 43 54 34 12 11 31 10 63 27 40 44 30 38 22 21 69 42- - - - 4% 6% 7% 4% 9% 7% 2% 3% 5% 3% 6% 4% 6% 7% 8% 5% 5% 4% 6% 5%

H KL KL n p tv


- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Company allows customers to forgo payments for up to 6 months or offers lower interest rates or other programs.






- - - - 1817 1781 821 960 481 406 484 409 549 311 874 589 630 561 299 677 386 419 1027 753- - - - 91% 88% 85% 92% 80% 85% 94% 97% 88% 92% 89% 89% 89% 87% 85% 89% 92% 87% 89% 88%

F G i IJ IJk m S


- - - - 1165 1038 424 614 238 260 264 276 323 188 494 340 386 312 146 409 224 260 626 413- - - - 58% 52% 44% 59% 40% 55% 51% 66% 52% 56% 50% 52% 54% 48% 41% 54% 53% 54% 54% 48%

F G I I IJK r S S S X


- - - - 652 743 397 346 243 146 221 133 226 123 379 249 245 249 154 269 162 159 402 341- - - - 33% 37% 41% 33% 40% 31% 43% 32% 36% 37% 39% 38% 34% 39% 44% 35% 38% 33% 35% 40%

E H JL JL TV w


- - - - 176 232 146 86 120 70 31 11 77 27 108 69 81 82 53 84 36 60 126 106- - - - 9% 12% 15% 8% 20% 15% 6% 3% 12% 8% 11% 11% 11% 13% 15% 11% 8% 13% 11% 12%

E H jKL KL l n U


- - - - 118 172 109 63 90 50 21 11 56 22 81 55 61 57 43 58 27 45 95 77- - - - 6% 9% 11% 6% 15% 10% 4% 3% 9% 7% 8% 8% 9% 9% 12% 8% 6% 9% 8% 9%

E H jKL KL TU


- - - - 58 60 37 23 30 20 10 - 21 4 27 15 20 25 10 26 9 16 31 29- - - - 3% 3% 4% 2% 5% 4% 2% - 3% 1% 3% 2% 3% 4% 3% 3% 2% 3% 3% 3%

h KL kL L n


- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Company donates money, supplies or employee’s time to aid relief in communities.






- - - - 1831 1781 833 947 477 404 483 417 553 316 858 593 636 552 301 672 382 426 1007 774- - - - 92% 88% 86% 91% 79% 85% 94% 99% 88% 94% 87% 90% 89% 86% 85% 88% 91% 89% 87% 90%

F G i IJ IJK MO r r s


- - - - 1188 1097 468 629 275 237 298 287 332 191 547 374 400 323 175 421 233 268 642 455- - - - 60% 54% 48% 60% 46% 50% 58% 68% 53% 57% 56% 57% 56% 50% 50% 55% 55% 56% 56% 53%

F G IJ IJK r r


- - - - 644 684 365 319 202 167 184 131 221 125 311 219 236 229 125 252 149 157 364 319- - - - 32% 34% 38% 30% 34% 35% 36% 31% 35% 37% 32% 33% 33% 36% 36% 33% 35% 33% 32% 37%

H W


- - - - 162 232 134 99 124 72 33 3 73 21 125 66 75 92 52 88 39 53 147 85- - - - 8% 12% 14% 9% 21% 15% 6% 1% 12% 6% 13% 10% 11% 14% 15% 12% 9% 11% 13% 10%

E H jKL KL L N N pq u


- - - - 102 154 89 65 84 52 15 3 48 13 88 40 48 66 44 49 21 40 103 51- - - - 5% 8% 9% 6% 14% 11% 3% 1% 8% 4% 9% 6% 7% 10% 12% 6% 5% 8% 9% 6%

E h KL KL l N N Pq TU X


- - - - 59 78 45 34 40 21 17 - 25 8 37 26 27 26 8 39 18 13 44 34- - - - 3% 4% 5% 3% 7% 4% 3% - 4% 2% 4% 4% 4% 4% 2% 5% 4% 3% 4% 4%

KL L L s


- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 148Q23 Which of the following sources do you get your information from regarding the coronavirus (COVID-19) outbreak? Please

select all that apply.






1156 1038 1194 1169 - 1129 505 625 265 265 311 289 370 211 521 359 419 351 169 437 265 258 656 47456% 51% 59% 58% - 56% 52% 60% 44% 56% 60% 69% 59% 62% 53% 55% 59% 55% 48% 57% 63% 54% 57% 55%B B B B G I I IJK O O S SV

Local media

1133 1075 1186 1133 - 1063 492 571 245 243 288 288 303 192 543 324 408 332 167 397 234 265 623 44055% 53% 59% 56% - 53% 51% 55% 41% 51% 56% 68% 48% 57% 55% 49% 57% 52% 47% 52% 56% 55% 54% 51%

aBF f I I IJK M M Pr s s

National media

576 749 884 975 - 972 438 534 197 218 286 272 285 186 474 316 390 266 164 371 214 223 562 41028% 37% 44% 48% - 48% 45% 51% 33% 46% 55% 65% 46% 55% 48% 48% 55% 41% 47% 49% 51% 47% 49% 48%

A AB ABC ABC G I IJ IJK Mo r PR

My governor

934 953 942 996 - 880 399 481 232 199 225 223 217 173 469 268 348 264 132 353 191 204 490 38946% 47% 47% 49% - 44% 41% 46% 39% 42% 44% 53% 35% 51% 48% 41% 49% 41% 37% 46% 45% 43% 43% 45%

f aF g IJK M M PR S s

CDC

711 773 855 883 - 837 378 458 184 199 234 219 239 159 414 265 322 251 126 328 188 195 515 32235% 38% 42% 44% - 42% 39% 44% 31% 42% 45% 52% 38% 47% 42% 40% 45% 39% 36% 43% 45% 41% 45% 37%

a AB AB A g I I IJ M r s S X

My local government

676 881 973 900 - 793 372 420 158 173 248 213 233 143 388 385 191 217 126 319 188 160 502 29033% 44% 48% 45% - 39% 39% 40% 26% 36% 48% 51% 37% 42% 40% 58% 27% 34% 36% 42% 45% 33% 44% 34%

AF ABdF AF A I IJ IJ QR Q V SV X

The WhiteHouse/President

719 765 801 784 - 748 347 402 313 218 129 88 239 125 356 241 289 218 127 300 146 176 431 31835% 38% 40% 39% - 37% 36% 38% 52% 46% 25% 21% 38% 37% 36% 37% 41% 34% 36% 39% 35% 37% 37% 37%

A a jKL KL R

Social media (e.g,Facebook, Instagram)

653 699 731 719 - 714 306 408 241 203 151 120 221 122 346 232 266 217 118 292 145 160 414 30032% 35% 36% 36% - 35% 32% 39% 40% 43% 29% 29% 35% 36% 35% 35% 37% 34% 33% 38% 35% 33% 36% 35%

A A a G KL KL

Friends and family

515 528 534 603 - 515 248 266 167 135 101 112 135 88 269 130 221 163 82 201 111 121 314 20125% 26% 26% 30% - 26% 26% 25% 28% 28% 20% 27% 22% 26% 27% 20% 31% 25% 23% 26% 26% 25% 27% 23%

ABcF K K k M Pr p

Doctors and nurses

422 468 528 470 - 469 230 239 128 129 108 103 123 65 268 152 171 146 70 188 100 111 281 18821% 23% 26% 23% - 23% 24% 23% 21% 27% 21% 25% 20% 19% 27% 23% 24% 23% 20% 25% 24% 23% 24% 22%

Ab ik MN

GovernmentPSA’s/website

234 236 219 249 - 252 141 110 110 72 42 28 54 22 166 57 101 94 50 88 48 65 150 10211% 12% 11% 12% - 12% 15% 11% 18% 15% 8% 7% 9% 6% 17% 9% 14% 15% 14% 12% 11% 14% 13% 12%

H KL KL MN P P

Medical journals

54 63 50 76 - 47 18 29 10 9 19 9 22 12 12 19 16 12 6 17 10 14 27 203% 3% 2% 4% - 2% 2% 3% 2% 2% 4% 2% 4% 4% 1% 3% 2% 2% 2% 2% 2% 3% 2% 2%

cF i O O

Other

69 59 43 53 - 63 35 27 42 15 4 2 25 9 15 13 20 30 14 28 4 16 24 393% 3% 2% 3% - 3% 4% 3% 7% 3% 1% 1% 4% 3% 1% 2% 3% 5% 4% 4% 1% 3% 2% 5%c JKL KL O P U U u W

None of the above

7853 8287 8940 9011 - 8482 3911 4571 2291 2079 2144 1967 2467 1506 4242 2760 3161 2561 1351 3319 1845 1967 4989 3493383% 410% 442% 447% - 421% 404% 437% 381% 437% 416% 468% 394% 446% 432% 419% 444% 398% 384% 436% 438% 411% 433% 406%

Sigma



14 Apr 2020Table 149Q24 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 874 974 509 439 487 412 568 320 908 600 673 575 319 688 392 449 1062 78593% 92% 94% 92% 93% 92% 90% 93% 85% 92% 94% 98% 91% 95% 92% 91% 95% 89% 91% 90% 93% 94% 92% 91%

BDF g I I IJK M PR

Doctors and nurses

1817 1791 1843 1804 1689 1727 808 919 474 410 470 373 496 314 865 551 641 536 282 662 369 414 1000 72789% 89% 91% 89% 85% 86% 84% 88% 79% 86% 91% 89% 79% 93% 88% 84% 90% 83% 80% 87% 88% 87% 87% 85%EF EF ABEF EF G I IJ I MO M PR S S s

CDC

1729 1736 1763 1793 1725 1686 797 889 461 408 445 371 501 297 840 540 616 531 284 656 352 395 969 71884% 86% 87% 89% 87% 84% 82% 85% 77% 86% 86% 88% 80% 88% 86% 82% 87% 82% 81% 86% 83% 82% 84% 83%

AF ABeF F I I I M M pr s

Medical journals

1547 1549 1641 1639 1523 1566 739 827 413 380 412 361 443 288 791 528 569 470 263 597 332 374 919 64775% 77% 81% 81% 76% 78% 76% 79% 69% 80% 80% 86% 71% 85% 81% 80% 80% 73% 75% 78% 79% 78% 80% 75%

ABEF ABEF I I Ijk M M R R x

My local government

1435 1444 1475 1478 1516 1542 736 806 419 389 391 343 491 257 743 511 558 473 276 589 322 355 904 63870% 72% 73% 73% 76% 77% 76% 77% 70% 82% 76% 82% 78% 76% 76% 78% 78% 74% 78% 77% 77% 74% 78% 74%

a ABc ABCd Ik i I r x

Friends and family

1485 1493 1540 1521 1381 1541 722 818 399 391 403 348 464 266 766 494 607 440 260 598 328 355 911 62972% 74% 76% 75% 69% 77% 75% 78% 66% 82% 78% 83% 74% 79% 78% 75% 85% 68% 74% 79% 78% 74% 79% 73%

e E AE aE AE I I I R PR X

Local media

1546 1532 1664 1596 1509 1537 729 808 415 364 407 352 454 271 769 517 549 471 264 571 338 364 893 64475% 76% 82% 79% 76% 76% 75% 77% 69% 76% 79% 84% 73% 80% 78% 79% 77% 73% 75% 75% 80% 76% 77% 75%

ABDEF AbEf I I IJ M M r

My governor

1534 1566 1620 1616 1408 1436 700 736 399 365 375 298 431 238 737 505 495 436 241 548 314 334 850 58675% 78% 80% 80% 71% 71% 72% 70% 66% 77% 73% 71% 69% 71% 75% 77% 70% 68% 69% 72% 75% 70% 74% 68%Ef EF AEF AEF I i M QR X

GovernmentPSA’s/website

1335 1317 1377 1381 1198 1301 605 696 368 337 314 282 400 221 636 351 561 389 225 487 265 323 758 54365% 65% 68% 69% 60% 65% 63% 67% 61% 71% 61% 67% 64% 65% 65% 53% 79% 60% 64% 64% 63% 67% 66% 63%E E Ef abEF E IK PR P

National media

1168 1235 1262 1240 1050 1086 541 545 305 277 285 218 327 185 545 539 229 317 188 454 229 214 671 41557% 61% 62% 62% 53% 54% 56% 52% 51% 58% 55% 52% 52% 55% 55% 82% 32% 49% 53% 60% 54% 45% 58% 48%E AEF AEF AEF I QR Q v V V X

The WhiteHouse/President

759 689 753 797 689 812 411 401 304 240 153 115 276 125 381 259 310 242 167 306 150 190 476 33637% 34% 37% 40% 35% 40% 43% 38% 51% 50% 30% 27% 44% 37% 39% 39% 44% 38% 47% 40% 36% 40% 41% 39%

BE aBE KL KL no r tUv

Social media (e.g.,Facebook, Instagram)

- - - - 453 429 243 186 203 143 61 22 146 47 222 121 149 158 96 144 81 108 266 163- - - - 23% 21% 25% 18% 34% 30% 12% 5% 23% 14% 23% 18% 21% 25% 27% 19% 19% 23% 23% 19%

H KL KL L N N P TU x

Chinese President, XiJinping



14 Apr 2020Table 150Q24_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)






759 689 753 797 689 812 411 401 304 240 153 115 276 125 381 259 310 242 167 306 150 190 476 33637% 34% 37% 40% 35% 40% 43% 38% 51% 50% 30% 27% 44% 37% 39% 39% 44% 38% 47% 40% 36% 40% 41% 39%

BE aBE KL KL no r tUv

Very/SomewhatTrustworthy (Net)

179 174 174 209 169 217 131 86 83 87 31 16 60 25 121 79 80 58 45 78 32 63 144 739% 9% 9% 10% 8% 11% 14% 8% 14% 18% 6% 4% 10% 8% 12% 12% 11% 9% 13% 10% 8% 13% 12% 9%

abce H KL iKL n U U X

Very trustworthy

580 515 579 588 521 595 280 315 221 153 122 99 217 99 259 180 230 185 122 228 118 127 333 26328% 26% 29% 29% 26% 30% 29% 30% 37% 32% 24% 23% 35% 29% 26% 27% 32% 29% 35% 30% 28% 27% 29% 31%

b Be Be KL KL O V

Somewhat trustworthy

1291 1330 1270 1219 1304 1201 556 645 297 236 363 305 350 213 602 399 401 401 185 455 271 289 677 52463% 66% 63% 60% 65% 60% 57% 62% 49% 50% 70% 73% 56% 63% 61% 61% 56% 62% 53% 60% 64% 60% 59% 61%

f DF DF IJ IJ m m q s S s

Not All/Not VeryTrustworthy (Net)

662 751 704 673 751 700 326 373 197 142 193 168 214 120 343 230 239 231 111 265 162 162 384 31632% 37% 35% 33% 38% 35% 34% 36% 33% 30% 37% 40% 34% 35% 35% 35% 34% 36% 32% 35% 38% 34% 33% 37%

AD AD J iJ

Not very trustworthy

630 579 566 546 553 501 229 271 100 93 170 138 136 93 258 169 162 170 74 190 109 128 293 20831% 29% 28% 27% 28% 25% 24% 26% 17% 20% 33% 33% 22% 28% 26% 26% 23% 26% 21% 25% 26% 27% 25% 24%DF F f IJ IJ m m

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 605 696 368 337 314 282 400 221 636 351 561 389 225 487 265 323 758 54365% 65% 68% 69% 60% 65% 63% 67% 61% 71% 61% 67% 64% 65% 65% 53% 79% 60% 64% 64% 63% 67% 66% 63%E E Ef abEF E IK PR P


393 368 427 459 355 399 199 200 125 115 76 83 110 50 223 102 195 102 71 154 73 101 244 15419% 18% 21% 23% 18% 20% 21% 19% 21% 24% 15% 20% 18% 15% 23% 16% 27% 16% 20% 20% 17% 21% 21% 18%

bE ABEf K K MN PR

Very trustworthy

942 949 950 922 843 902 405 497 243 223 238 199 290 170 413 249 366 287 155 333 193 222 513 38946% 47% 47% 46% 42% 45% 42% 47% 40% 47% 46% 47% 46% 50% 42% 38% 51% 45% 44% 44% 46% 46% 45% 45%

e E E e G i i O PR P


715 702 646 635 795 712 362 350 233 139 202 138 226 117 346 307 150 254 127 274 156 156 396 31635% 35% 32% 31% 40% 35% 37% 33% 39% 29% 39% 33% 36% 35% 35% 47% 21% 40% 36% 36% 37% 33% 34% 37%

d d ABCDF cD J J QR Q


441 460 369 388 466 451 233 217 164 82 126 78 140 68 234 190 95 165 91 168 99 93 252 19922% 23% 18% 19% 23% 22% 24% 21% 27% 17% 25% 19% 22% 20% 24% 29% 13% 26% 26% 22% 23% 19% 22% 23%C CD CD Cd JL J Q Q v


274 242 277 247 329 261 129 132 69 57 75 60 86 49 112 117 55 89 35 106 57 62 144 11713% 12% 14% 12% 16% 13% 13% 13% 11% 12% 15% 14% 14% 15% 11% 18% 8% 14% 10% 14% 14% 13% 12% 14%

ABCDF Q Q

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 722 818 399 391 403 348 464 266 766 494 607 440 260 598 328 355 911 62972% 74% 76% 75% 69% 77% 75% 78% 66% 82% 78% 83% 74% 79% 78% 75% 85% 68% 74% 79% 78% 74% 79% 73%

e E AE aE AE I I I R PR X


419 418 440 470 374 432 220 212 102 117 110 103 126 81 209 128 210 94 74 175 86 97 269 16220% 21% 22% 23% 19% 21% 23% 20% 17% 25% 21% 24% 20% 24% 21% 19% 29% 15% 21% 23% 20% 20% 23% 19%

e aE e I I r PR x

Very trustworthy

1066 1075 1100 1051 1008 1109 503 606 297 274 293 245 338 185 556 366 397 345 186 423 242 258 642 46752% 53% 54% 52% 51% 55% 52% 58% 49% 58% 57% 58% 54% 55% 57% 56% 56% 54% 53% 56% 58% 54% 56% 54%

e E G I I I


565 526 483 495 612 472 244 228 202 85 113 73 162 72 216 164 104 204 92 163 93 124 242 23028% 26% 24% 25% 31% 23% 25% 22% 34% 18% 22% 17% 26% 21% 22% 25% 15% 32% 26% 21% 22% 26% 21% 27%

CdF aBCDF JKL Q PQ W


360 355 320 328 415 322 170 152 146 50 76 50 106 47 157 109 70 144 53 119 66 85 165 15718% 18% 16% 16% 21% 16% 18% 15% 24% 11% 15% 12% 17% 14% 16% 17% 10% 22% 15% 16% 16% 18% 14% 18%

ABCDF JKL Q PQ w


206 171 162 167 197 150 74 76 55 35 37 22 56 25 60 55 34 60 40 44 28 39 77 7310% 8% 8% 8% 10% 7% 8% 7% 9% 7% 7% 5% 9% 7% 6% 8% 5% 9% 11% 6% 7% 8% 7% 8%cF F l o Q Q Tu

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 797 889 461 408 445 371 501 297 840 540 616 531 284 656 352 395 969 71884% 86% 87% 89% 87% 84% 82% 85% 77% 86% 86% 88% 80% 88% 86% 82% 87% 82% 81% 86% 83% 82% 84% 83%

AF ABeF F I I I M M pr s


726 743 818 817 761 672 322 350 214 164 155 138 167 103 374 190 286 195 105 281 126 160 357 31535% 37% 40% 41% 38% 33% 33% 33% 36% 34% 30% 33% 27% 31% 38% 29% 40% 30% 30% 37% 30% 33% 31% 37%

f AbF AbF F MN PR su W

Very trustworthy

1002 994 945 976 964 1014 475 539 247 244 290 233 335 194 466 350 329 335 179 375 226 235 612 40349% 49% 47% 48% 48% 50% 49% 52% 41% 51% 56% 55% 53% 57% 47% 53% 46% 52% 51% 49% 54% 49% 53% 47%

c I I I o O Q q X


321 283 260 223 268 327 170 157 140 68 70 49 125 40 142 118 95 113 68 105 70 84 185 14216% 14% 13% 11% 13% 16% 18% 15% 23% 14% 14% 12% 20% 12% 14% 18% 13% 18% 19% 14% 17% 18% 16% 17%

CD D d CDE JKL NO q q t


230 211 172 152 199 216 104 113 90 47 48 32 89 25 92 75 57 84 47 76 46 47 133 8411% 10% 9% 8% 10% 11% 11% 11% 15% 10% 9% 8% 14% 7% 9% 11% 8% 13% 13% 10% 11% 10% 11% 10%

CD D D cD JKL NO q Q


91 72 88 70 69 111 66 44 50 21 23 17 36 15 50 43 38 29 22 29 23 37 52 584% 4% 4% 3% 3% 5% 7% 4% 8% 4% 4% 4% 6% 4% 5% 7% 5% 4% 6% 4% 6% 8% 5% 7%

BDE H JKL T w

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 700 736 399 365 375 298 431 238 737 505 495 436 241 548 314 334 850 58675% 78% 80% 80% 71% 71% 72% 70% 66% 77% 73% 71% 69% 71% 75% 77% 70% 68% 69% 72% 75% 70% 74% 68%Ef EF AEF AEF I i M QR X


502 463 571 550 414 383 199 184 114 124 83 62 111 65 198 148 140 95 74 154 70 84 244 13925% 23% 28% 27% 21% 19% 21% 18% 19% 26% 16% 15% 18% 19% 20% 23% 20% 15% 21% 20% 17% 18% 21% 16%EF F ABEF BEF IKL R r X

Very trustworthy

1032 1103 1049 1066 994 1053 501 552 285 241 292 236 320 172 538 356 355 342 167 393 243 250 606 44850% 55% 52% 53% 50% 52% 52% 53% 47% 51% 57% 56% 51% 51% 55% 54% 50% 53% 47% 52% 58% 52% 53% 52%

AE I I S


516 453 403 400 585 577 267 310 203 111 141 122 196 100 246 154 216 207 111 213 107 145 304 27325% 22% 20% 20% 29% 29% 28% 30% 34% 23% 27% 29% 31% 29% 25% 23% 30% 32% 31% 28% 25% 30% 26% 32%

CD ABCD aBCD Jk O P P W


360 313 271 272 382 427 205 222 149 78 111 89 138 77 193 125 146 156 83 168 79 97 224 20318% 16% 13% 13% 19% 21% 21% 21% 25% 16% 21% 21% 22% 23% 20% 19% 21% 24% 24% 22% 19% 20% 19% 24%

CD BCD ABCD J p w


156 140 133 128 203 150 62 87 54 33 30 33 58 22 53 28 70 52 28 45 28 48 79 708% 7% 7% 6% 10% 7% 6% 8% 9% 7% 6% 8% 9% 7% 5% 4% 10% 8% 8% 6% 7% 10% 7% 8%

ABCDF O P P T

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 808 919 474 410 470 373 496 314 865 551 641 536 282 662 369 414 1000 72789% 89% 91% 89% 85% 86% 84% 88% 79% 86% 91% 89% 79% 93% 88% 84% 90% 83% 80% 87% 88% 87% 87% 85%EF EF ABEF EF G I IJ I MO M PR S S s


1021 992 1129 1087 893 845 395 449 238 212 207 187 221 149 447 273 366 206 134 337 170 204 482 36350% 49% 56% 54% 45% 42% 41% 43% 40% 45% 40% 45% 35% 44% 46% 41% 52% 32% 38% 44% 40% 43% 42% 42%EF EF ABEF ABEF M M R PR

Very trustworthy

796 799 715 717 796 882 412 470 235 198 263 186 275 165 418 278 275 330 148 325 199 210 518 36439% 40% 35% 36% 40% 44% 43% 45% 39% 42% 51% 44% 44% 49% 43% 42% 39% 51% 42% 43% 47% 44% 45% 42%cd CD CD ABCDe IJ PQ


233 228 180 212 304 286 159 127 127 66 45 47 130 24 117 108 70 108 70 99 52 65 154 13211% 11% 9% 11% 15% 14% 16% 12% 21% 14% 9% 11% 21% 7% 12% 16% 10% 17% 20% 13% 12% 13% 13% 15%C C ABCD ABCD H JKL K NO N Q Q TUv


160 169 113 144 220 193 114 79 82 52 29 30 89 12 86 74 46 73 48 67 30 47 112 818% 8% 6% 7% 11% 10% 12% 8% 14% 11% 6% 7% 14% 4% 9% 11% 6% 11% 14% 9% 7% 10% 10% 9%C C ABCD CD H KL K NO N Q Q TU


72 59 66 68 84 93 45 48 46 14 17 17 41 11 31 34 25 35 22 32 22 18 42 524% 3% 3% 3% 4% 5% 5% 5% 8% 3% 3% 4% 7% 3% 3% 5% 3% 5% 6% 4% 5% 4% 4% 6%

b Bc JKl nO W

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 736 806 419 389 391 343 491 257 743 511 558 473 276 589 322 355 904 63870% 72% 73% 73% 76% 77% 76% 77% 70% 82% 76% 82% 78% 76% 76% 78% 78% 74% 78% 77% 77% 74% 78% 74%

a ABc ABCd Ik i I r x


454 455 427 475 522 469 233 237 133 126 120 89 149 78 222 160 162 147 94 183 85 108 293 17622% 23% 21% 24% 26% 23% 24% 23% 22% 27% 23% 21% 24% 23% 23% 24% 23% 23% 27% 24% 20% 22% 25% 20%

ABCf u X

Very trustworthy

981 989 1049 1004 994 1073 504 569 285 263 271 253 342 179 521 351 396 326 182 407 237 247 611 46248% 49% 52% 50% 50% 53% 52% 54% 47% 55% 53% 60% 55% 53% 53% 53% 56% 51% 52% 53% 56% 52% 53% 54%

A ABde I Ik


615 575 548 538 477 471 231 240 182 87 124 77 135 80 239 147 153 170 76 171 99 124 249 22230% 28% 27% 27% 24% 23% 24% 23% 30% 18% 24% 18% 22% 24% 24% 22% 22% 26% 22% 23% 23% 26% 22% 26%

dEF EF eF f JkL j q w


463 445 426 407 359 381 182 199 139 67 107 68 102 70 204 112 130 138 62 136 81 101 213 16823% 22% 21% 20% 18% 19% 19% 19% 23% 14% 21% 16% 16% 21% 21% 17% 18% 21% 18% 18% 19% 21% 18% 20%EF Ef e JL J m


152 130 122 131 118 90 49 41 43 20 18 10 33 10 35 35 23 32 14 35 18 23 36 547% 6% 6% 7% 6% 4% 5% 4% 7% 4% 3% 2% 5% 3% 4% 5% 3% 5% 4% 5% 4% 5% 3% 6%F F f F jKL W

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 874 974 509 439 487 412 568 320 908 600 673 575 319 688 392 449 1062 78593% 92% 94% 92% 93% 92% 90% 93% 85% 92% 94% 98% 91% 95% 92% 91% 95% 89% 91% 90% 93% 94% 92% 91%

BDF g I I IJK M PR


1104 1038 1190 1203 1193 1046 467 579 285 236 282 243 292 194 522 317 415 314 156 415 231 243 605 44154% 51% 59% 60% 60% 52% 48% 55% 47% 50% 55% 58% 47% 57% 53% 48% 58% 49% 44% 55% 55% 51% 52% 51%

ABF ABF ABF G i Ij M M PR S S

Very trustworthy

806 814 710 642 651 802 407 395 225 204 205 169 275 126 386 283 258 261 163 273 161 206 457 34539% 40% 35% 32% 33% 40% 42% 38% 37% 43% 40% 40% 44% 37% 39% 43% 36% 40% 46% 36% 38% 43% 40% 40%

CDE CDE d CDE n Q Tu t


139 167 123 171 149 165 93 72 92 37 28 8 59 18 74 58 38 69 33 73 29 30 91 747% 8% 6% 8% 7% 8% 10% 7% 15% 8% 6% 2% 9% 5% 8% 9% 5% 11% 9% 10% 7% 6% 8% 9%

C C C h JKL L L N Q Q


89 132 82 116 99 109 64 46 60 26 18 5 36 10 56 42 26 41 22 51 18 19 65 444% 7% 4% 6% 5% 5% 7% 4% 10% 5% 4% 1% 6% 3% 6% 6% 4% 6% 6% 7% 4% 4% 6% 5%

ACe c h JKL L l n n q q


50 36 41 55 51 56 30 26 32 11 10 3 22 8 18 16 12 28 11 22 11 12 26 302% 2% 2% 3% 3% 3% 3% 3% 5% 2% 2% 1% 4% 2% 2% 2% 2% 4% 3% 3% 3% 2% 2% 3%

b JKL o Q

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 541 545 305 277 285 218 327 185 545 539 229 317 188 454 229 214 671 41557% 61% 62% 62% 53% 54% 56% 52% 51% 58% 55% 52% 52% 55% 55% 82% 32% 49% 53% 60% 54% 45% 58% 48%E AEF AEF AEF I QR Q v V V X


496 556 589 595 493 504 256 248 116 121 155 112 142 80 270 306 91 107 86 215 107 96 336 16824% 28% 29% 30% 25% 25% 27% 24% 19% 25% 30% 27% 23% 24% 28% 47% 13% 17% 25% 28% 25% 20% 29% 20%

a AEF AEF I I I m QR V X

Very trustworthy

671 680 673 645 557 582 285 297 189 156 130 106 185 105 274 233 138 210 102 239 122 119 335 24633% 34% 33% 32% 28% 29% 29% 28% 31% 33% 25% 25% 30% 31% 28% 35% 19% 33% 29% 31% 29% 25% 29% 29%EF EF EF Ef k Kl Q Q v


882 784 761 776 943 927 426 501 296 199 230 202 299 152 437 119 482 327 164 307 192 265 483 44543% 39% 38% 38% 47% 46% 44% 48% 49% 42% 45% 48% 48% 45% 45% 18% 68% 51% 47% 40% 46% 55% 42% 52%

BCD ABCD BCD J PR P sTU W


385 376 322 319 374 407 216 191 139 93 99 76 135 67 193 69 179 160 80 143 86 98 215 19219% 19% 16% 16% 19% 20% 22% 18% 23% 19% 19% 18% 22% 20% 20% 10% 25% 25% 23% 19% 20% 21% 19% 22%cd cd cd CD h P P


497 408 439 457 568 520 210 311 157 106 132 126 164 85 244 50 304 167 84 164 106 166 267 25324% 20% 22% 23% 29% 26% 22% 30% 26% 22% 26% 30% 26% 25% 25% 8% 43% 26% 24% 22% 25% 35% 23% 29%B ABCD BCd G J PR P STU W

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 729 808 415 364 407 352 454 271 769 517 549 471 264 571 338 364 893 64475% 76% 82% 79% 76% 76% 75% 77% 69% 76% 79% 84% 73% 80% 78% 79% 77% 73% 75% 75% 80% 76% 77% 75%

ABDEF AbEf I I IJ M M r


525 550 668 705 618 682 322 359 154 162 183 183 179 111 369 237 300 145 121 243 155 163 415 26726% 27% 33% 35% 31% 34% 33% 34% 26% 34% 36% 44% 29% 33% 38% 36% 42% 23% 34% 32% 37% 34% 36% 31%

AB ABE AB AB I I IJk M R pR x

Very trustworthy

1022 982 996 891 891 855 406 449 261 202 224 169 275 160 401 281 249 326 144 328 183 201 478 37850% 49% 49% 44% 45% 42% 42% 43% 43% 42% 43% 40% 44% 47% 41% 43% 35% 51% 41% 43% 43% 42% 41% 44%

DEF DeF DEF o Q PQ


504 487 359 420 484 476 238 238 187 112 108 69 172 67 213 141 162 173 88 190 83 115 260 21525% 24% 18% 21% 24% 24% 25% 23% 31% 24% 21% 16% 27% 20% 22% 21% 23% 27% 25% 25% 20% 24% 23% 25%

CD Cd C CD Cd JKL L NO p


338 320 218 259 306 293 155 138 128 68 62 35 115 41 123 83 95 115 59 126 48 61 154 14016% 16% 11% 13% 15% 15% 16% 13% 21% 14% 12% 8% 18% 12% 13% 13% 13% 18% 17% 17% 11% 13% 13% 16%

CD CD Cd C JKL L NO Pq u u


166 166 141 161 179 183 83 100 59 44 46 33 57 26 90 58 67 58 29 65 36 53 107 768% 8% 7% 8% 9% 9% 9% 10% 10% 9% 9% 8% 9% 8% 9% 9% 9% 9% 8% 8% 8% 11% 9% 9%

c c

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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 739 827 413 380 412 361 443 288 791 528 569 470 263 597 332 374 919 64775% 77% 81% 81% 76% 78% 76% 79% 69% 80% 80% 86% 71% 85% 81% 80% 80% 73% 75% 78% 79% 78% 80% 75%

ABEF ABEF I I Ijk M M R R x


448 464 553 586 485 514 247 267 122 127 126 138 132 89 277 181 220 113 92 192 116 114 321 19322% 23% 27% 29% 24% 26% 26% 26% 20% 27% 25% 33% 21% 26% 28% 27% 31% 18% 26% 25% 28% 24% 28% 22%

ABe ABEF A I IK m M R R X

Very trustworthy

1098 1085 1088 1053 1039 1052 493 560 291 252 286 224 311 199 514 347 349 357 171 405 216 260 598 45454% 54% 54% 52% 52% 52% 51% 53% 48% 53% 55% 53% 50% 59% 52% 53% 49% 55% 49% 53% 51% 54% 52% 53%

i Mo q


503 470 382 377 470 447 228 219 188 97 103 59 184 49 191 131 142 174 89 164 89 105 234 21325% 23% 19% 19% 24% 22% 24% 21% 31% 20% 20% 14% 29% 15% 19% 20% 20% 27% 25% 22% 21% 22% 20% 25%

CD CD CD CD JKL l l NO PQ w


330 318 253 269 314 297 158 139 126 58 75 38 127 29 133 94 80 123 57 116 62 62 150 14716% 16% 13% 13% 16% 15% 16% 13% 21% 12% 15% 9% 20% 9% 14% 14% 11% 19% 16% 15% 15% 13% 13% 17%Cd Cd Cd c JKL l NO n pQ W


174 152 129 108 156 150 70 80 62 39 28 21 57 20 58 37 62 51 32 48 27 43 84 668% 8% 6% 5% 8% 7% 7% 8% 10% 8% 6% 5% 9% 6% 6% 6% 9% 8% 9% 6% 6% 9% 7% 8%

CD D D D KL O p

Not all trustworthy

2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 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






- - - - 453 429 243 186 203 143 61 22 146 47 222 121 149 158 96 144 81 108 266 163- - - - 23% 21% 25% 18% 34% 30% 12% 5% 23% 14% 23% 18% 21% 25% 27% 19% 19% 23% 23% 19%

H KL KL L N N P TU x


- - - - 133 128 84 44 56 51 13 9 28 14 83 47 40 41 26 41 26 34 97 31- - - - 7% 6% 9% 4% 9% 11% 2% 2% 4% 4% 8% 7% 6% 6% 7% 5% 6% 7% 8% 4%

H KL KL MN X

Very trustworthy

- - - - 320 301 158 142 147 92 48 13 118 33 139 74 109 117 70 102 55 74 169 132- - - - 16% 15% 16% 14% 24% 19% 9% 3% 19% 10% 14% 11% 15% 18% 20% 13% 13% 15% 15% 15%

KL KL L NO p P TU


- - - - 1540 1584 724 860 398 333 455 398 481 291 760 537 562 485 256 617 340 371 888 696- - - - 77% 79% 75% 82% 66% 70% 88% 95% 77% 86% 77% 82% 79% 75% 73% 81% 81% 77% 77% 81%

G IJ IJK MO R S S w


- - - - 567 550 255 295 182 121 128 118 181 95 248 146 220 184 96 228 112 114 297 253- - - - 28% 27% 26% 28% 30% 25% 25% 28% 29% 28% 25% 22% 31% 29% 27% 30% 27% 24% 26% 29%

P P v


- - - - 973 1034 469 565 216 212 327 280 300 195 512 391 342 302 160 389 228 257 591 443- - - - 49% 51% 49% 54% 36% 44% 63% 67% 48% 58% 52% 59% 48% 47% 45% 51% 54% 54% 51% 52%

g I IJ IJ M QR S s

Not all trustworthy

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 162MED01 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 538 645 420 339 248 176 322 194 635 377 454 353 213 451 231 288 702 481- - - 56% 60% 59% 56% 62% 70% 71% 48% 42% 51% 57% 65% 57% 64% 55% 61% 59% 55% 60% 61% 56%

d G KL KL Mn PR x

Smartphone/tablet

- - - 1147 1059 1132 557 574 349 268 278 237 327 178 603 395 429 308 222 432 212 266 704 427- - - 57% 53% 56% 58% 55% 58% 56% 54% 56% 52% 53% 61% 60% 60% 48% 63% 57% 50% 56% 61% 50%

e MN R R Uv u X

TV (cable or broadcast)

- - - 1015 1051 1098 537 561 406 322 215 155 307 167 601 343 428 327 211 413 214 260 671 427- - - 50% 53% 55% 56% 54% 68% 68% 42% 37% 49% 50% 61% 52% 60% 51% 60% 54% 51% 54% 58% 50%

D KL KL MN PR U X

Streaming TV (e.g.,Netflix, Apple TV)

- - - 704 719 711 331 380 236 189 140 147 187 111 400 253 248 210 121 284 141 164 434 277- - - 35% 36% 35% 34% 36% 39% 40% 27% 35% 30% 33% 41% 38% 35% 33% 34% 37% 33% 34% 38% 32%

K K k MN r X

Books

- - - 378 397 443 272 171 166 119 86 72 94 48 296 171 166 106 82 171 83 108 289 155- - - 19% 20% 22% 28% 16% 28% 25% 17% 17% 15% 14% 30% 26% 23% 16% 23% 22% 20% 23% 25% 18%

D H KL KL MN R R X

Magazines




Summary Of Decreased






- - - 318 331 329 157 172 156 99 52 23 127 62 130 81 123 125 75 117 58 79 179 150- - - 16% 17% 16% 16% 16% 26% 21% 10% 5% 20% 18% 13% 12% 17% 19% 21% 15% 14% 17% 16% 17%

jKL KL l O o P P tU

Magazines

- - - 230 241 250 154 97 136 61 42 11 87 44 110 73 92 85 60 85 41 63 134 116- - - 11% 12% 12% 16% 9% 23% 13% 8% 3% 14% 13% 11% 11% 13% 13% 17% 11% 10% 13% 12% 13%

H JKL kL L TU

Books

- - - 146 191 168 93 76 81 55 25 8 55 24 86 49 41 79 41 64 29 35 98 71- - - 7% 10% 8% 10% 7% 14% 11% 5% 2% 9% 7% 9% 7% 6% 12% 12% 8% 7% 7% 8% 8%

D KL KL l PQ uv


- - - 184 182 154 85 69 77 34 21 23 61 24 65 44 52 59 23 68 30 34 70 84- - - 9% 9% 8% 9% 7% 13% 7% 4% 5% 10% 7% 7% 7% 7% 9% 6% 9% 7% 7% 6% 10%

JKL k o W


- - - 134 143 150 95 55 77 31 23 19 50 22 73 40 48 62 23 60 30 37 77 73- - - 7% 7% 7% 10% 5% 13% 6% 4% 5% 8% 7% 7% 6% 7% 10% 6% 8% 7% 8% 7% 9%

H JKL p

Smartphone/tablet




Summary Of About The Same






- - - 1320 1265 1241 538 703 279 259 378 325 406 227 557 406 422 413 196 473 281 292 686 555- - - 65% 63% 62% 56% 67% 46% 54% 73% 77% 65% 67% 57% 62% 59% 64% 56% 62% 67% 61% 59% 65%

F G I IJ IJ O O s S w

Magazines

- - - 1082 1033 1052 482 570 229 226 334 262 352 182 472 332 371 349 170 392 239 251 585 467- - - 54% 52% 52% 50% 54% 38% 48% 65% 62% 56% 54% 48% 50% 52% 54% 48% 51% 57% 52% 51% 54%

I IJ IJ O s

Books

- - - 817 760 761 345 416 118 121 279 243 258 147 316 271 231 258 118 280 177 186 413 348- - - 41% 38% 38% 36% 40% 20% 25% 54% 58% 41% 43% 32% 41% 33% 40% 34% 37% 42% 39% 36% 41%

i IJ IJ O O Q Q s w


- - - 723 743 713 317 396 171 154 213 176 245 136 294 215 242 257 89 265 181 178 352 361- - - 36% 37% 35% 33% 38% 28% 32% 41% 42% 39% 40% 30% 33% 34% 40% 25% 35% 43% 37% 30% 42%

g IJ IJ O O Pq S ST S W


- - - 747 656 679 334 346 103 106 245 225 254 121 274 242 209 229 116 250 160 154 375 305- - - 37% 33% 34% 35% 33% 17% 22% 48% 54% 41% 36% 28% 37% 29% 36% 33% 33% 38% 32% 32% 35%

Ef i IJ IJ O O Q q

Smartphone/tablet



14 Apr 2020Table 165MED01_1 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?







- - - 1147 1059 1132 557 574 349 268 278 237 327 178 603 395 429 308 222 432 212 266 704 427- - - 57% 53% 56% 58% 55% 58% 56% 54% 56% 52% 53% 61% 60% 60% 48% 63% 57% 50% 56% 61% 50%

e MN R R Uv u X

Increased

- - - 146 191 168 93 76 81 55 25 8 55 24 86 49 41 79 41 64 29 35 98 71- - - 7% 10% 8% 10% 7% 14% 11% 5% 2% 9% 7% 9% 7% 6% 12% 12% 8% 7% 7% 8% 8%

D KL KL l PQ uv

Decreased

- - - 723 743 713 317 396 171 154 213 176 245 136 294 215 242 257 89 265 181 178 352 361- - - 36% 37% 35% 33% 38% 28% 32% 41% 42% 39% 40% 30% 33% 34% 40% 25% 35% 43% 37% 30% 42%

g IJ IJ O O Pq S ST S W

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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 537 561 406 322 215 155 307 167 601 343 428 327 211 413 214 260 671 427- - - 50% 53% 55% 56% 54% 68% 68% 42% 37% 49% 50% 61% 52% 60% 51% 60% 54% 51% 54% 58% 50%

D KL KL MN PR U X

Increased

- - - 184 182 154 85 69 77 34 21 23 61 24 65 44 52 59 23 68 30 34 70 84- - - 9% 9% 8% 9% 7% 13% 7% 4% 5% 10% 7% 7% 7% 7% 9% 6% 9% 7% 7% 6% 10%

JKL k o W

Decreased

- - - 817 760 761 345 416 118 121 279 243 258 147 316 271 231 258 118 280 177 186 413 348- - - 41% 38% 38% 36% 40% 20% 25% 54% 58% 41% 43% 32% 41% 33% 40% 34% 37% 42% 39% 36% 41%

i IJ IJ O O Q Q s w

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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 538 645 420 339 248 176 322 194 635 377 454 353 213 451 231 288 702 481- - - 56% 60% 59% 56% 62% 70% 71% 48% 42% 51% 57% 65% 57% 64% 55% 61% 59% 55% 60% 61% 56%

d G KL KL Mn PR x

Increased

- - - 134 143 150 95 55 77 31 23 19 50 22 73 40 48 62 23 60 30 37 77 73- - - 7% 7% 7% 10% 5% 13% 6% 4% 5% 8% 7% 7% 6% 7% 10% 6% 8% 7% 8% 7% 9%

H JKL p

Decreased

- - - 747 656 679 334 346 103 106 245 225 254 121 274 242 209 229 116 250 160 154 375 305- - - 37% 33% 34% 35% 33% 17% 22% 48% 54% 41% 36% 28% 37% 29% 36% 33% 33% 38% 32% 32% 35%

Ef i IJ IJ O O Q q

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Magazines






- - - 378 397 443 272 171 166 119 86 72 94 48 296 171 166 106 82 171 83 108 289 155- - - 19% 20% 22% 28% 16% 28% 25% 17% 17% 15% 14% 30% 26% 23% 16% 23% 22% 20% 23% 25% 18%

D H KL KL MN R R X

Increased

- - - 318 331 329 157 172 156 99 52 23 127 62 130 81 123 125 75 117 58 79 179 150- - - 16% 17% 16% 16% 16% 26% 21% 10% 5% 20% 18% 13% 12% 17% 19% 21% 15% 14% 17% 16% 17%

jKL KL l O o P P tU

Decreased

- - - 1320 1265 1241 538 703 279 259 378 325 406 227 557 406 422 413 196 473 281 292 686 555- - - 65% 63% 62% 56% 67% 46% 54% 73% 77% 65% 67% 57% 62% 59% 64% 56% 62% 67% 61% 59% 65%

F G I IJ IJ O O s S w

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Books






- - - 704 719 711 331 380 236 189 140 147 187 111 400 253 248 210 121 284 141 164 434 277- - - 35% 36% 35% 34% 36% 39% 40% 27% 35% 30% 33% 41% 38% 35% 33% 34% 37% 33% 34% 38% 32%

K K k MN r X

Increased

- - - 230 241 250 154 97 136 61 42 11 87 44 110 73 92 85 60 85 41 63 134 116- - - 11% 12% 12% 16% 9% 23% 13% 8% 3% 14% 13% 11% 11% 13% 13% 17% 11% 10% 13% 12% 13%

H JKL kL L TU

Decreased

- - - 1082 1033 1052 482 570 229 226 334 262 352 182 472 332 371 349 170 392 239 251 585 467- - - 54% 52% 52% 50% 54% 38% 48% 65% 62% 56% 54% 48% 50% 52% 54% 48% 51% 57% 52% 51% 54%

I IJ IJ O s

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 170MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?

Summary Of More






- - - - 1053 1080 534 546 407 319 200 155 284 172 601 350 411 320 211 406 205 257 652 429- - - - 53% 54% 55% 52% 68% 67% 39% 37% 45% 51% 61% 53% 58% 50% 60% 53% 49% 54% 56% 50%

KL KL MN R tU X

Streaming services (e.g.,Netflix, Hulu)

- - - 935 989 1021 470 551 384 294 202 141 308 163 527 323 404 294 200 382 193 247 611 410- - - 46% 50% 51% 49% 53% 64% 62% 39% 34% 49% 48% 54% 49% 57% 46% 57% 50% 46% 52% 53% 48%

D KL KL PR U x

Social media (e.g.,Facebook, Instagram,Twitter)

- - - 830 854 889 438 451 360 275 152 102 277 151 441 281 359 249 166 322 165 236 523 366- - - 41% 43% 44% 45% 43% 60% 58% 29% 24% 44% 45% 45% 43% 50% 39% 47% 42% 39% 49% 45% 43%

KL KL PR u tU

Games

- - - 682 661 765 396 369 376 229 98 62 210 123 410 231 327 207 159 279 130 198 433 332- - - 34% 33% 38% 41% 35% 62% 48% 19% 15% 34% 36% 42% 35% 46% 32% 45% 37% 31% 41% 38% 39%

DE H JKL KL M PR TU U

Music apps (e.g., Spotify,iTunes)

- - - 833 844 761 357 404 228 235 161 138 208 116 421 272 299 191 140 287 161 173 481 280- - - 41% 42% 38% 37% 39% 38% 49% 31% 33% 33% 34% 43% 41% 42% 30% 40% 38% 38% 36% 42% 33%

f F k IKL MN R R X

News apps

- - - 619 663 674 326 348 277 192 129 76 133 93 433 203 263 208 140 220 132 181 409 265- - - 31% 33% 33% 34% 33% 46% 40% 25% 18% 21% 28% 44% 31% 37% 32% 40% 29% 31% 38% 35% 31%

KL KL l M MN p TU T x

Virtual meeting sites (e.g.,Zoom, Teams)

- - - 524 445 486 261 225 214 162 64 45 127 63 287 163 206 117 97 183 83 123 309 177- - - 26% 22% 24% 27% 22% 36% 34% 12% 11% 20% 19% 29% 25% 29% 18% 28% 24% 20% 26% 27% 21%

E H KL KL MN R R U X

On-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 502 437 466 239 227 217 144 59 46 108 68 280 138 205 124 95 170 93 108 277 188- - - 25% 22% 23% 25% 22% 36% 30% 11% 11% 17% 20% 28% 21% 29% 19% 27% 22% 22% 23% 24% 22%

e jKL KL MN PR

Wellness apps (e.g.,Meditation apps,work-outs)

- - - 399 356 395 226 169 174 128 62 31 88 65 233 133 153 108 83 147 63 101 240 155- - - 20% 18% 20% 23% 16% 29% 27% 12% 7% 14% 19% 24% 20% 22% 17% 24% 19% 15% 21% 21% 18%

H KL KL l m M r U u

Podcasts

- - - 200 218 199 133 66 103 66 21 8 45 31 118 65 88 46 50 66 29 54 131 68- - - 10% 11% 10% 14% 6% 17% 14% 4% 2% 7% 9% 12% 10% 12% 7% 14% 9% 7% 11% 11% 8%

H KL KL M R TU u X

Dating apps




Summary Of Less






- - - 581 607 551 268 283 205 147 123 76 197 77 256 160 212 179 107 203 122 120 294 257- - - 29% 30% 27% 28% 27% 34% 31% 24% 18% 31% 23% 26% 24% 30% 28% 30% 27% 29% 25% 26% 30%

f KL KL No p w

Dating apps

- - - 424 443 442 217 224 167 101 102 73 156 64 204 125 162 155 86 177 91 88 252 190- - - 21% 22% 22% 22% 21% 28% 21% 20% 17% 25% 19% 21% 19% 23% 24% 24% 23% 22% 18% 22% 22%

JKL n p


- - - 415 444 415 230 185 160 94 88 73 164 60 176 140 142 133 85 167 96 67 220 195- - - 21% 22% 21% 24% 18% 27% 20% 17% 17% 26% 18% 18% 21% 20% 21% 24% 22% 23% 14% 19% 23%

H JKL NO V V V

Podcasts

- - - 377 377 356 197 159 135 80 75 66 145 56 139 124 123 108 52 164 73 67 179 177- - - 19% 19% 18% 20% 15% 22% 17% 15% 16% 23% 17% 14% 19% 17% 17% 15% 22% 17% 14% 16% 21%

H jKL NO SV W


- - - 308 361 320 152 168 115 85 70 51 128 47 135 108 109 103 65 127 62 66 184 136- - - 15% 18% 16% 16% 16% 19% 18% 13% 12% 20% 14% 14% 16% 15% 16% 18% 17% 15% 14% 16% 16%

d KL l NO


- - - 288 267 279 149 130 136 63 50 30 106 43 123 74 97 107 48 111 55 65 150 129- - - 14% 13% 14% 15% 12% 23% 13% 10% 7% 17% 13% 13% 11% 14% 17% 14% 15% 13% 14% 13% 15%

JKL L O P

News apps

- - - 292 295 226 109 118 63 56 49 59 92 32 97 79 65 82 33 98 60 35 128 99- - - 15% 15% 11% 11% 11% 10% 12% 10% 14% 15% 10% 10% 12% 9% 13% 9% 13% 14% 7% 11% 12%

F F NO q V sV


- - - 257 276 223 122 101 82 45 54 41 82 32 103 79 65 79 39 98 53 33 120 102- - - 13% 14% 11% 13% 10% 14% 10% 11% 10% 13% 9% 11% 12% 9% 12% 11% 13% 13% 7% 10% 12%

F h j V V

Games

- - - - 229 217 105 112 76 47 51 43 102 26 82 61 73 83 31 88 57 41 106 111- - - - 12% 11% 11% 11% 13% 10% 10% 10% 16% 8% 8% 9% 10% 13% 9% 12% 14% 9% 9% 13%

NO sv W


- - - 232 243 209 116 93 84 44 50 31 71 26 103 72 69 69 25 79 53 52 121 88- - - 11% 12% 10% 12% 9% 14% 9% 10% 7% 11% 8% 11% 11% 10% 11% 7% 10% 13% 11% 10% 10%

h jkL S

Social media (e.g.,Facebook, Instagram,Twitter)____________________________________________________________________________________________________________________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 - W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing









- - - 1235 1168 1263 566 697 292 263 372 336 385 230 608 433 411 418 195 492 270 305 728 534- - - 61% 59% 63% 59% 67% 49% 55% 72% 80% 61% 68% 62% 66% 58% 65% 56% 65% 64% 64% 63% 62%

E G i IJ IJK mo Q Q S s s

Dating apps

- - - 1206 1195 1227 576 651 270 247 387 323 390 222 568 413 397 417 193 464 265 305 692 535- - - 60% 60% 61% 60% 62% 45% 52% 75% 77% 62% 66% 58% 63% 56% 65% 55% 61% 63% 64% 60% 62%

i IJ IJ O Q Q s S


- - - 1202 1192 1203 511 693 267 254 366 316 374 212 573 386 416 402 184 446 263 311 694 510- - - 60% 60% 60% 53% 66% 44% 53% 71% 75% 60% 63% 58% 59% 58% 62% 52% 59% 62% 65% 60% 59%

G I IJ IJ s S St

Podcasts

- - - 1068 1105 1085 489 596 220 213 350 302 344 211 492 371 343 372 169 401 247 268 592 493- - - 53% 55% 54% 51% 57% 37% 45% 68% 72% 55% 62% 50% 56% 48% 58% 48% 53% 59% 56% 51% 57%

G I IJ IJ MO Q Q S s W


- - - 1041 1038 1022 462 559 162 192 368 299 324 182 475 349 318 354 160 383 231 247 593 429- - - 52% 52% 51% 48% 53% 27% 40% 71% 71% 52% 54% 48% 53% 45% 55% 46% 50% 55% 52% 51% 50%

G I IJ IJ Q Q S


- - - 1020 953 983 444 540 189 204 312 278 348 188 410 332 324 327 159 377 216 231 566 418- - - 51% 48% 49% 46% 52% 31% 43% 60% 66% 56% 56% 42% 50% 46% 51% 45% 50% 51% 48% 49% 49%

G I IJ IJ O O


- - - 895 882 973 461 512 237 179 305 253 312 179 438 312 315 345 164 364 204 241 523 450- - - 44% 44% 48% 48% 49% 39% 38% 59% 60% 50% 53% 45% 47% 44% 54% 47% 48% 49% 50% 45% 52%

DE IJ IJ o O pQ W

News apps

- - - 929 863 901 407 494 159 156 309 277 267 155 438 297 288 316 147 341 203 210 510 391- - - 46% 43% 45% 42% 47% 26% 33% 60% 66% 43% 46% 45% 45% 40% 49% 42% 45% 48% 44% 44% 45%

g i IJ IJ Q

Games

- - - 849 761 783 381 402 133 138 264 248 247 149 352 263 239 281 127 300 176 180 421 362- - - 42% 38% 39% 39% 38% 22% 29% 51% 59% 39% 44% 36% 40% 34% 44% 36% 39% 42% 38% 37% 42%

E I IJ IJk O q Q W


- - - - 710 716 328 388 118 110 265 223 240 140 300 247 227 241 110 266 159 181 396 320- - - - 36% 36% 34% 37% 20% 23% 51% 53% 38% 41% 31% 38% 32% 37% 31% 35% 38% 38% 34% 37%

IJ IJ O O q q




14 Apr 2020Table 173MED02_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)






- - - 524 445 486 261 225 214 162 64 45 127 63 287 163 206 117 97 183 83 123 309 177- - - 26% 22% 24% 27% 22% 36% 34% 12% 11% 20% 19% 29% 25% 29% 18% 28% 24% 20% 26% 27% 21%

E H KL KL MN R R U X

More

- - - 424 443 442 217 224 167 101 102 73 156 64 204 125 162 155 86 177 91 88 252 190- - - 21% 22% 22% 22% 21% 28% 21% 20% 17% 25% 19% 21% 19% 23% 24% 24% 23% 22% 18% 22% 22%

JKL n p

Less

- - - 1068 1105 1085 489 596 220 213 350 302 344 211 492 371 343 372 169 401 247 268 592 493- - - 53% 55% 54% 51% 57% 37% 45% 68% 72% 55% 62% 50% 56% 48% 58% 48% 53% 59% 56% 51% 57%

G I IJ IJ MO Q Q S s W

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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 470 551 384 294 202 141 308 163 527 323 404 294 200 382 193 247 611 410- - - 46% 50% 51% 49% 53% 64% 62% 39% 34% 49% 48% 54% 49% 57% 46% 57% 50% 46% 52% 53% 48%

D KL KL PR U x

More

- - - 232 243 209 116 93 84 44 50 31 71 26 103 72 69 69 25 79 53 52 121 88- - - 11% 12% 10% 12% 9% 14% 9% 10% 7% 11% 8% 11% 11% 10% 11% 7% 10% 13% 11% 10% 10%

h jkL S

Less

- - - 849 761 783 381 402 133 138 264 248 247 149 352 263 239 281 127 300 176 180 421 362- - - 42% 38% 39% 39% 38% 22% 29% 51% 59% 39% 44% 36% 40% 34% 44% 36% 39% 42% 38% 37% 42%

E I IJ IJk O q Q W

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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)






- - - 619 663 674 326 348 277 192 129 76 133 93 433 203 263 208 140 220 132 181 409 265- - - 31% 33% 33% 34% 33% 46% 40% 25% 18% 21% 28% 44% 31% 37% 32% 40% 29% 31% 38% 35% 31%

KL KL l M MN p TU T x

More

- - - 377 377 356 197 159 135 80 75 66 145 56 139 124 123 108 52 164 73 67 179 177- - - 19% 19% 18% 20% 15% 22% 17% 15% 16% 23% 17% 14% 19% 17% 17% 15% 22% 17% 14% 16% 21%

H jKL NO SV W

Less

- - - 1020 953 983 444 540 189 204 312 278 348 188 410 332 324 327 159 377 216 231 566 418- - - 51% 48% 49% 46% 52% 31% 43% 60% 66% 56% 56% 42% 50% 46% 51% 45% 50% 51% 48% 49% 49%

G I IJ IJ O O

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




News apps






- - - 833 844 761 357 404 228 235 161 138 208 116 421 272 299 191 140 287 161 173 481 280- - - 41% 42% 38% 37% 39% 38% 49% 31% 33% 33% 34% 43% 41% 42% 30% 40% 38% 38% 36% 42% 33%

f F k IKL MN R R X

More

- - - 288 267 279 149 130 136 63 50 30 106 43 123 74 97 107 48 111 55 65 150 129- - - 14% 13% 14% 15% 12% 23% 13% 10% 7% 17% 13% 13% 11% 14% 17% 14% 15% 13% 14% 13% 15%

JKL L O P

Less

- - - 895 882 973 461 512 237 179 305 253 312 179 438 312 315 345 164 364 204 241 523 450- - - 44% 44% 48% 48% 49% 39% 38% 59% 60% 50% 53% 45% 47% 44% 54% 47% 48% 49% 50% 45% 52%

DE IJ IJ o O pQ W

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Podcasts






- - - 399 356 395 226 169 174 128 62 31 88 65 233 133 153 108 83 147 63 101 240 155- - - 20% 18% 20% 23% 16% 29% 27% 12% 7% 14% 19% 24% 20% 22% 17% 24% 19% 15% 21% 21% 18%

H KL KL l m M r U u

More

- - - 415 444 415 230 185 160 94 88 73 164 60 176 140 142 133 85 167 96 67 220 195- - - 21% 22% 21% 24% 18% 27% 20% 17% 17% 26% 18% 18% 21% 20% 21% 24% 22% 23% 14% 19% 23%

H JKL NO V V V

Less

- - - 1202 1192 1203 511 693 267 254 366 316 374 212 573 386 416 402 184 446 263 311 694 510- - - 60% 60% 60% 53% 66% 44% 53% 71% 75% 60% 63% 58% 59% 58% 62% 52% 59% 62% 65% 60% 59%

G I IJ IJ s S St

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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)






- - - 502 437 466 239 227 217 144 59 46 108 68 280 138 205 124 95 170 93 108 277 188- - - 25% 22% 23% 25% 22% 36% 30% 11% 11% 17% 20% 28% 21% 29% 19% 27% 22% 22% 23% 24% 22%

e jKL KL MN PR

More

- - - 308 361 320 152 168 115 85 70 51 128 47 135 108 109 103 65 127 62 66 184 136- - - 15% 18% 16% 16% 16% 19% 18% 13% 12% 20% 14% 14% 16% 15% 16% 18% 17% 15% 14% 16% 16%

d KL l NO

Less

- - - 1206 1195 1227 576 651 270 247 387 323 390 222 568 413 397 417 193 464 265 305 692 535- - - 60% 60% 61% 60% 62% 45% 52% 75% 77% 62% 66% 58% 63% 56% 65% 55% 61% 63% 64% 60% 62%

i IJ IJ O Q Q s S

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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)






- - - 682 661 765 396 369 376 229 98 62 210 123 410 231 327 207 159 279 130 198 433 332- - - 34% 33% 38% 41% 35% 62% 48% 19% 15% 34% 36% 42% 35% 46% 32% 45% 37% 31% 41% 38% 39%

DE H JKL KL M PR TU U

More

- - - 292 295 226 109 118 63 56 49 59 92 32 97 79 65 82 33 98 60 35 128 99- - - 15% 15% 11% 11% 11% 10% 12% 10% 14% 15% 10% 10% 12% 9% 13% 9% 13% 14% 7% 11% 12%

F F NO q V sV

Less

- - - 1041 1038 1022 462 559 162 192 368 299 324 182 475 349 318 354 160 383 231 247 593 429- - - 52% 52% 51% 48% 53% 27% 40% 71% 71% 52% 54% 48% 53% 45% 55% 46% 50% 55% 52% 51% 50%

G I IJ IJ Q Q S

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Dating apps






- - - 200 218 199 133 66 103 66 21 8 45 31 118 65 88 46 50 66 29 54 131 68- - - 10% 11% 10% 14% 6% 17% 14% 4% 2% 7% 9% 12% 10% 12% 7% 14% 9% 7% 11% 11% 8%

H KL KL M R TU u X

More

- - - 581 607 551 268 283 205 147 123 76 197 77 256 160 212 179 107 203 122 120 294 257- - - 29% 30% 27% 28% 27% 34% 31% 24% 18% 31% 23% 26% 24% 30% 28% 30% 27% 29% 25% 26% 30%

f KL KL No p w

Less

- - - 1235 1168 1263 566 697 292 263 372 336 385 230 608 433 411 418 195 492 270 305 728 534- - - 61% 59% 63% 59% 67% 49% 55% 72% 80% 61% 68% 62% 66% 58% 65% 56% 65% 64% 64% 63% 62%

E G i IJ IJK mo Q Q S s s

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Games






- - - 830 854 889 438 451 360 275 152 102 277 151 441 281 359 249 166 322 165 236 523 366- - - 41% 43% 44% 45% 43% 60% 58% 29% 24% 44% 45% 45% 43% 50% 39% 47% 42% 39% 49% 45% 43%

KL KL PR u tU

More

- - - 257 276 223 122 101 82 45 54 41 82 32 103 79 65 79 39 98 53 33 120 102- - - 13% 14% 11% 13% 10% 14% 10% 11% 10% 13% 9% 11% 12% 9% 12% 11% 13% 13% 7% 10% 12%

F h j V V

Less

- - - 929 863 901 407 494 159 156 309 277 267 155 438 297 288 316 147 341 203 210 510 391- - - 46% 43% 45% 42% 47% 26% 33% 60% 66% 43% 46% 45% 45% 40% 49% 42% 45% 48% 44% 44% 45%

g i IJ IJ Q

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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 534 546 407 319 200 155 284 172 601 350 411 320 211 406 205 257 652 429- - - - 53% 54% 55% 52% 68% 67% 39% 37% 45% 51% 61% 53% 58% 50% 60% 53% 49% 54% 56% 50%

KL KL MN R tU X

More

- - - - 229 217 105 112 76 47 51 43 102 26 82 61 73 83 31 88 57 41 106 111- - - - 12% 11% 11% 11% 13% 10% 10% 10% 16% 8% 8% 9% 10% 13% 9% 12% 14% 9% 9% 13%

NO sv W

Less

- - - - 710 716 328 388 118 110 265 223 240 140 300 247 227 241 110 266 159 181 396 320- - - - 36% 36% 34% 37% 20% 23% 51% 53% 38% 41% 31% 38% 32% 37% 31% 35% 38% 38% 34% 37%

IJ IJ O O q q

About the same

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 183MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?

Summary Of Too Few






- - - 233 252 254 120 134 129 73 32 19 81 36 129 68 101 85 56 93 47 58 153 100- - - 12% 13% 13% 12% 13% 21% 15% 6% 4% 13% 11% 13% 10% 14% 13% 16% 12% 11% 12% 13% 12%

JKL KL p

Games

- - - - 226 220 108 112 113 67 21 19 67 35 113 57 99 65 50 69 45 55 132 89- - - - 11% 11% 11% 11% 19% 14% 4% 5% 11% 10% 11% 9% 14% 10% 14% 9% 11% 12% 11% 10%

jKL KL Pr T


- - - 194 208 194 94 100 102 62 25 5 65 32 96 63 73 58 45 65 37 47 128 66- - - 10% 10% 10% 10% 10% 17% 13% 5% 1% 10% 10% 10% 10% 10% 9% 13% 9% 9% 10% 11% 8%

KL KL L t X


- - - 138 151 175 90 85 104 48 18 5 44 22 105 58 62 55 44 56 30 45 97 78- - - 7% 8% 9% 9% 8% 17% 10% 4% 1% 7% 7% 11% 9% 9% 8% 13% 7% 7% 9% 8% 9%

d JKL KL l Mn TU


- - - 130 122 161 87 74 84 50 24 2 49 13 95 53 62 45 35 58 33 34 101 60- - - 6% 6% 8% 9% 7% 14% 11% 5% * 8% 4% 10% 8% 9% 7% 10% 8% 8% 7% 9% 7%

e KL KL L N N

Dating apps

- - - 148 154 159 91 68 67 49 31 12 44 23 89 52 49 59 37 48 40 34 104 55- - - 7% 8% 8% 9% 7% 11% 10% 6% 3% 7% 7% 9% 8% 7% 9% 11% 6% 9% 7% 9% 6%

h KL KL l T x


- - - 132 147 155 77 78 81 42 23 9 44 21 87 52 54 49 29 69 25 32 101 54- - - 7% 7% 8% 8% 7% 14% 9% 4% 2% 7% 6% 9% 8% 8% 8% 8% 9% 6% 7% 9% 6%

JKL KL x


- - - 151 172 154 81 74 80 50 13 11 44 18 89 46 54 55 38 51 28 37 91 63- - - 7% 9% 8% 8% 7% 13% 10% 3% 3% 7% 5% 9% 7% 8% 9% 11% 7% 7% 8% 8% 7%

KL KL n tu


- - - 131 156 151 75 76 68 45 27 10 39 24 82 53 43 55 28 46 33 43 93 58- - - 6% 8% 8% 8% 7% 11% 10% 5% 2% 6% 7% 8% 8% 6% 9% 8% 6% 8% 9% 8% 7%

KL KL

News apps

- - - 126 137 140 76 64 77 42 14 7 37 14 84 48 49 43 28 56 18 37 93 47- - - 6% 7% 7% 8% 6% 13% 9% 3% 2% 6% 4% 9% 7% 7% 7% 8% 7% 4% 8% 8% 5%

jKL KL N u x

Podcasts




Summary Of Just Enough






- - - - 927 947 457 490 272 258 257 160 261 157 495 292 360 295 161 363 203 220 536 412- - - - 47% 47% 47% 47% 45% 54% 50% 38% 42% 47% 50% 44% 51% 46% 46% 48% 48% 46% 46% 48%

l IL L M p


- - - 839 926 895 417 478 268 220 252 155 283 162 425 292 344 259 167 340 189 199 500 394- - - 42% 46% 44% 43% 46% 45% 46% 49% 37% 45% 48% 43% 44% 48% 40% 47% 45% 45% 41% 43% 46%

D l L L R


- - - 833 790 794 376 419 220 203 211 161 217 133 423 244 325 226 121 301 185 187 465 330- - - 41% 40% 39% 39% 40% 37% 43% 41% 38% 35% 40% 43% 37% 46% 35% 35% 40% 44% 39% 40% 38%

i M PR S

News apps

- - - 824 809 791 401 390 282 221 190 98 206 118 440 235 320 235 143 291 176 182 421 370- - - 41% 41% 39% 41% 37% 47% 46% 37% 23% 33% 35% 45% 36% 45% 37% 41% 38% 42% 38% 37% 43%

KL KL L MN PR W


- - - 766 742 789 367 422 265 218 191 116 238 127 399 247 308 234 140 283 184 181 434 355- - - 38% 37% 39% 38% 40% 44% 46% 37% 28% 38% 38% 41% 38% 43% 36% 40% 37% 44% 38% 38% 41%

kL KL L pR t

Games

- - - 662 592 649 330 319 256 192 136 64 172 108 353 201 269 179 116 236 151 146 377 271- - - 33% 30% 32% 34% 30% 43% 40% 26% 15% 28% 32% 36% 30% 38% 28% 33% 31% 36% 30% 33% 32%

e KL KL L M PR


- - - 610 637 640 309 331 218 181 153 88 150 102 376 196 263 181 136 221 132 151 383 256- - - 30% 32% 32% 32% 32% 36% 38% 30% 21% 24% 30% 38% 30% 37% 28% 39% 29% 31% 32% 33% 30%

kL KL L m MN PR Tuv


- - - 620 547 577 279 298 204 169 123 80 145 94 321 172 241 164 109 195 127 146 327 250- - - 31% 27% 29% 29% 29% 34% 36% 24% 19% 23% 28% 33% 26% 34% 25% 31% 26% 30% 31% 28% 29%

e KL KL M PR


- - - 556 590 561 293 268 200 159 142 60 138 97 316 174 237 150 97 203 130 132 317 245- - - 28% 30% 28% 30% 26% 33% 33% 28% 14% 22% 29% 32% 26% 33% 23% 28% 27% 31% 28% 27% 28%

h L L L M M PR

Podcasts

- - - 330 339 296 174 121 130 85 64 16 82 48 158 89 130 77 67 104 62 64 173 123- - - 16% 17% 15% 18% 12% 22% 18% 12% 4% 13% 14% 16% 13% 18% 12% 19% 14% 15% 13% 15% 14%

H KL kL L pR tv

Dating apps




Summary Of Too Many






- - - 663 551 629 305 324 214 167 137 111 180 90 340 186 240 203 95 250 118 166 383 246- - - 33% 28% 31% 32% 31% 36% 35% 26% 26% 29% 27% 35% 28% 34% 32% 27% 33% 28% 35% 33% 29%

E E KL KL MN p su x


- - - 463 414 444 235 208 159 130 91 64 130 58 249 139 163 142 94 155 87 109 274 169- - - 23% 21% 22% 24% 20% 26% 27% 18% 15% 21% 17% 25% 21% 23% 22% 27% 20% 21% 23% 24% 20%

h KL KL mN t x

News apps

- - - - 314 363 196 167 165 104 65 30 108 53 195 110 135 118 68 137 63 95 220 143- - - - 16% 18% 20% 16% 27% 22% 13% 7% 17% 16% 20% 17% 19% 18% 19% 18% 15% 20% 19% 17%

H jKL KL L


- - - 270 218 316 171 145 143 94 52 27 99 48 163 90 117 109 62 116 58 81 192 124- - - 13% 11% 16% 18% 14% 24% 20% 10% 6% 16% 14% 17% 14% 16% 17% 18% 15% 14% 17% 17% 14%

e E h KL KL


- - - 314 278 299 165 134 135 87 45 32 99 44 149 83 111 105 52 108 48 90 183 116- - - 16% 14% 15% 17% 13% 22% 18% 9% 8% 16% 13% 15% 13% 16% 16% 15% 14% 11% 19% 16% 14%

H KL KL U

Games

- - - 299 257 297 160 137 131 91 44 32 92 45 153 92 118 88 52 115 45 86 176 121- - - 15% 13% 15% 17% 13% 22% 19% 8% 8% 15% 13% 16% 14% 17% 14% 15% 15% 11% 18% 15% 14%

h KL KL u U


- - - 271 211 275 162 114 119 89 35 32 79 36 156 68 102 104 49 94 42 90 176 99- - - 13% 11% 14% 17% 11% 20% 19% 7% 8% 13% 11% 16% 10% 14% 16% 14% 12% 10% 19% 15% 12%

E E H KL KL n p P TU x

Podcasts

- - - 296 221 267 160 107 117 90 39 21 75 42 147 76 108 84 47 103 50 68 172 96- - - 15% 11% 13% 17% 10% 19% 19% 8% 5% 12% 12% 15% 12% 15% 13% 13% 13% 12% 14% 15% 11%

E e H KL KL x


- - - 237 193 245 140 105 104 78 39 24 63 45 130 67 90 88 42 94 46 63 167 77- - - 12% 10% 12% 14% 10% 17% 16% 8% 6% 10% 13% 13% 10% 13% 14% 12% 12% 11% 13% 15% 9%

e E H KL KL X


- - - 187 177 177 110 67 90 53 24 10 59 31 86 52 57 68 34 55 36 52 104 73- - - 9% 9% 9% 11% 6% 15% 11% 5% 2% 9% 9% 9% 8% 8% 11% 10% 7% 9% 11% 9% 8%

H KL KL t

Dating apps




Summary Of Too Few

Base: All Respondents Excluding (I Don’t Use These Apps)





- - - 130 122 161 87 74 84 50 24 2 49 13 95 53 62 45 35 58 33 34 101 60- - - 20% 19% 25% 23% 28% 28% 27% 21% 7% 26% 14% 28% 27% 25% 24% 26% 27% 25% 23% 27% 23%

dE n N

Dating apps

- - - 233 252 254 120 134 129 73 32 19 81 36 129 68 101 85 56 93 47 58 153 100- - - 18% 20% 19% 18% 19% 24% 19% 12% 11% 19% 18% 19% 17% 19% 20% 23% 19% 17% 18% 20% 18%

KL Kl

Games

- - - 138 151 175 90 85 104 48 18 5 44 22 105 58 62 55 44 56 30 45 97 78- - - 14% 15% 17% 17% 16% 24% 16% 9% 4% 17% 13% 17% 18% 15% 17% 20% 15% 14% 17% 15% 19%

JKL kL


- - - 132 147 155 77 78 81 42 23 9 44 21 87 52 54 49 29 69 25 32 101 54- - - 13% 16% 15% 15% 16% 20% 14% 12% 8% 17% 14% 16% 17% 13% 17% 16% 19% 12% 13% 17% 13%

d jkL


- - - 194 208 194 94 100 102 62 25 5 65 32 96 63 73 58 45 65 37 47 128 66- - - 15% 17% 15% 14% 16% 19% 16% 9% 4% 18% 16% 14% 16% 14% 14% 18% 14% 14% 15% 17% 12%

KL KL X


- - - - 226 220 108 112 113 67 21 19 67 35 113 57 99 65 50 69 45 55 132 89- - - - 15% 14% 14% 15% 21% 16% 6% 9% 15% 14% 14% 12% 17% 14% 18% 12% 15% 15% 15% 14%

KL K t


- - - 126 137 140 76 64 77 42 14 7 37 14 84 48 49 43 28 56 18 37 93 47- - - 13% 15% 14% 14% 14% 19% 14% 7% 7% 15% 10% 15% 16% 13% 14% 16% 16% 10% 14% 16% 12%

KL k

Podcasts

- - - 151 172 154 81 74 80 50 13 11 44 18 89 46 54 55 38 51 28 37 91 63- - - 14% 17% 14% 14% 14% 17% 15% 7% 11% 14% 11% 15% 14% 12% 17% 19% 13% 13% 14% 14% 14%

K K


- - - 131 156 151 75 76 68 45 27 10 39 24 82 53 43 55 28 46 33 43 93 58- - - 9% 11% 11% 11% 11% 15% 12% 8% 4% 10% 11% 11% 12% 8% 13% 12% 9% 11% 13% 11% 10%

KL L q

News apps

- - - 148 154 159 91 68 67 49 31 12 44 23 89 52 49 59 37 48 40 34 104 55- - - 9% 9% 9% 11% 8% 12% 11% 7% 4% 9% 8% 10% 10% 8% 11% 12% 7% 11% 9% 11% 8%

h kL L T t

Social media (e.g.,Facebook, Instagram,Twitter)____________________________________________________________________________________________________________________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 - W/XOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing



Summary Of Just Enough






- - - - 927 947 457 490 272 258 257 160 261 157 495 292 360 295 161 363 203 220 536 412- - - - 63% 62% 60% 64% 49% 60% 75% 76% 60% 64% 62% 64% 61% 62% 58% 64% 65% 59% 60% 64%

I IJ IJ


- - - 824 809 791 401 390 282 221 190 98 206 118 440 235 320 235 143 291 176 182 421 370- - - 64% 65% 61% 60% 61% 53% 59% 71% 76% 56% 60% 63% 61% 63% 59% 57% 62% 65% 59% 57% 66%

f IJ IJ M W


- - - 610 637 640 309 331 218 181 153 88 150 102 376 196 263 181 136 221 132 151 383 256- - - 62% 65% 60% 57% 64% 51% 59% 73% 76% 58% 60% 61% 61% 63% 56% 61% 60% 64% 58% 59% 62%

f g i IJ IJ


- - - 662 592 649 330 319 256 192 136 64 172 108 353 201 269 179 116 236 151 146 377 271- - - 60% 58% 59% 58% 60% 55% 58% 71% 59% 56% 63% 59% 59% 61% 56% 56% 59% 67% 54% 59% 60%

IJ stV


- - - 766 742 789 367 422 265 218 191 116 238 127 399 247 308 234 140 283 184 181 434 355- - - 58% 58% 59% 56% 61% 50% 58% 71% 69% 57% 61% 59% 62% 59% 55% 56% 58% 66% 55% 56% 62%

i IJ Ij stV w

Games

- - - 620 547 577 279 298 204 169 123 80 145 94 321 172 241 164 109 195 127 146 327 250- - - 59% 60% 58% 54% 62% 51% 56% 67% 73% 55% 60% 58% 57% 60% 55% 59% 53% 63% 59% 55% 63%

g Ij IJ t W


- - - 556 590 561 293 268 200 159 142 60 138 97 316 174 237 150 97 203 130 132 317 245- - - 58% 63% 58% 55% 60% 51% 55% 74% 61% 54% 66% 57% 60% 61% 51% 56% 57% 68% 51% 54% 63%

f IJl M r R StV W

Podcasts

- - - 833 790 794 376 419 220 203 211 161 217 133 423 244 325 226 121 301 185 187 465 330- - - 58% 58% 57% 55% 60% 49% 54% 64% 69% 56% 62% 56% 56% 61% 53% 50% 60% 61% 55% 56% 59%

IJ IJ r S S

News apps

- - - 839 926 895 417 478 268 220 252 155 283 162 425 292 344 259 167 340 189 199 500 394- - - 51% 57% 53% 51% 55% 49% 50% 60% 56% 56% 59% 50% 55% 54% 50% 56% 53% 55% 50% 51% 57%

Df IJ o O w


- - - 330 339 296 174 121 130 85 64 16 82 48 158 89 130 77 67 104 62 64 173 123- - - 51% 53% 47% 47% 46% 43% 45% 57% 57% 43% 52% 47% 46% 52% 40% 49% 48% 47% 43% 46% 48%

f i R

Dating apps




Summary Of Too Many






- - - 663 551 629 305 324 214 167 137 111 180 90 340 186 240 203 95 250 118 166 383 246- - - 40% 34% 37% 38% 37% 39% 38% 33% 40% 36% 33% 40% 35% 38% 39% 32% 39% 34% 42% 39% 35%

E e n s Su


- - - 463 414 444 235 208 159 130 91 64 130 58 249 139 163 142 94 155 87 109 274 169- - - 32% 30% 32% 34% 30% 36% 34% 28% 27% 34% 27% 33% 32% 31% 34% 38% 31% 28% 32% 33% 30%

k tU

News apps

- - - 271 211 275 162 114 119 89 35 32 79 36 156 68 102 104 49 94 42 90 176 99- - - 28% 22% 28% 30% 25% 30% 31% 18% 32% 31% 25% 28% 24% 26% 35% 28% 27% 22% 35% 30% 25%

E E K K k Pq U

Podcasts

- - - 187 177 177 110 67 90 53 24 10 59 31 86 52 57 68 34 55 36 52 104 73- - - 29% 28% 28% 30% 26% 30% 28% 22% 36% 31% 34% 26% 27% 23% 36% 25% 25% 28% 35% 28% 28%

Q

Dating apps

- - - 299 257 297 160 137 131 91 44 32 92 45 153 92 118 88 52 115 45 86 176 121- - - 27% 25% 27% 28% 26% 28% 27% 23% 30% 30% 26% 26% 27% 27% 27% 25% 29% 20% 32% 27% 27%

u U


- - - 296 221 267 160 107 117 90 39 21 75 42 147 76 108 84 47 103 50 68 172 96- - - 28% 24% 27% 31% 22% 29% 30% 21% 19% 28% 27% 27% 25% 27% 28% 26% 28% 25% 28% 29% 24%

H


- - - 270 218 316 171 145 143 94 52 27 99 48 163 90 117 109 62 116 58 81 192 124- - - 21% 18% 24% 26% 23% 27% 25% 19% 21% 27% 24% 23% 23% 23% 27% 25% 25% 21% 26% 26% 22%

E k


- - - - 314 363 196 167 165 104 65 30 108 53 195 110 135 118 68 137 63 95 220 143- - - - 21% 24% 26% 22% 30% 24% 19% 14% 25% 22% 24% 24% 23% 25% 24% 24% 20% 26% 25% 22%

KL L


- - - 237 193 245 140 105 104 78 39 24 63 45 130 67 90 88 42 94 46 63 167 77- - - 24% 20% 23% 26% 20% 24% 25% 19% 20% 24% 27% 21% 21% 22% 27% 19% 25% 22% 24% 26% 19%

e h X


- - - 314 278 299 165 134 135 87 45 32 99 44 149 83 111 105 52 108 48 90 183 116- - - 24% 22% 22% 25% 19% 26% 23% 17% 19% 24% 21% 22% 21% 21% 25% 21% 22% 17% 27% 24% 20%

H K U

Games



14 Apr 2020Table 189MED03_1 How many advertisements do you notice related to COVID19 while using the following apps/platforms?

On-demand food delivery apps (e.g., UberEATS, Doordash)






- - - 151 172 154 81 74 80 50 13 11 44 18 89 46 54 55 38 51 28 37 91 63- - - 7% 9% 8% 8% 7% 13% 10% 3% 3% 7% 5% 9% 7% 8% 9% 11% 7% 7% 8% 8% 7%

KL KL n tu

Too few

- - - 662 592 649 330 319 256 192 136 64 172 108 353 201 269 179 116 236 151 146 377 271- - - 33% 30% 32% 34% 30% 43% 40% 26% 15% 28% 32% 36% 30% 38% 28% 33% 31% 36% 30% 33% 32%

e KL KL L M PR

Just enough

- - - 299 257 297 160 137 131 91 44 32 92 45 153 92 118 88 52 115 45 86 176 121- - - 15% 13% 15% 17% 13% 22% 19% 8% 8% 15% 13% 16% 14% 17% 14% 15% 15% 11% 18% 15% 14%

h KL KL u U

Too many

- - - 904 972 913 397 516 135 143 322 313 318 167 387 320 271 322 146 359 197 211 509 404- - - 45% 49% 45% 41% 49% 22% 30% 62% 74% 51% 50% 39% 49% 38% 50% 42% 47% 47% 44% 44% 47%

df G I IJ IJK O O Q Q

I don’t use these apps

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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)






- - - 148 154 159 91 68 67 49 31 12 44 23 89 52 49 59 37 48 40 34 104 55- - - 7% 8% 8% 9% 7% 11% 10% 6% 3% 7% 7% 9% 8% 7% 9% 11% 6% 9% 7% 9% 6%

h KL KL l T x

Too few

- - - 839 926 895 417 478 268 220 252 155 283 162 425 292 344 259 167 340 189 199 500 394- - - 42% 46% 44% 43% 46% 45% 46% 49% 37% 45% 48% 43% 44% 48% 40% 47% 45% 45% 41% 43% 46%

D l L L R

Just enough

- - - 663 551 629 305 324 214 167 137 111 180 90 340 186 240 203 95 250 118 166 383 246- - - 33% 28% 31% 32% 31% 36% 35% 26% 26% 29% 27% 35% 28% 34% 32% 27% 33% 28% 35% 33% 29%

E E KL KL MN p su x

Too many

- - - 366 361 330 154 176 52 40 96 142 119 63 128 129 78 123 53 123 74 80 166 164- - - 18% 18% 16% 16% 17% 9% 8% 19% 34% 19% 19% 13% 20% 11% 19% 15% 16% 18% 17% 14% 19%

IJ IJK O O Q Q W


- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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)






- - - 138 151 175 90 85 104 48 18 5 44 22 105 58 62 55 44 56 30 45 97 78- - - 7% 8% 9% 9% 8% 17% 10% 4% 1% 7% 7% 11% 9% 9% 8% 13% 7% 7% 9% 8% 9%

d JKL KL l Mn TU

Too few

- - - 610 637 640 309 331 218 181 153 88 150 102 376 196 263 181 136 221 132 151 383 256- - - 30% 32% 32% 32% 32% 36% 38% 30% 21% 24% 30% 38% 30% 37% 28% 39% 29% 31% 32% 33% 30%

kL KL L m MN PR Tuv

Just enough

- - - 237 193 245 140 105 104 78 39 24 63 45 130 67 90 88 42 94 46 63 167 77- - - 12% 10% 12% 14% 10% 17% 16% 8% 6% 10% 13% 13% 10% 13% 14% 12% 12% 11% 13% 15% 9%

e E H KL KL X

Too many

- - - 1031 1012 953 428 526 176 169 305 303 369 169 370 337 296 320 130 390 214 220 506 448- - - 51% 51% 47% 44% 50% 29% 35% 59% 72% 59% 50% 38% 51% 42% 50% 37% 51% 51% 46% 44% 52%

f f G i IJ IJK NO O Q Q S S S W


- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




News apps






- - - 131 156 151 75 76 68 45 27 10 39 24 82 53 43 55 28 46 33 43 93 58- - - 6% 8% 8% 8% 7% 11% 10% 5% 2% 6% 7% 8% 8% 6% 9% 8% 6% 8% 9% 8% 7%

KL KL

Too few

- - - 833 790 794 376 419 220 203 211 161 217 133 423 244 325 226 121 301 185 187 465 330- - - 41% 40% 39% 39% 40% 37% 43% 41% 38% 35% 40% 43% 37% 46% 35% 35% 40% 44% 39% 40% 38%

i M PR S

Just enough

- - - 463 414 444 235 208 159 130 91 64 130 58 249 139 163 142 94 155 87 109 274 169- - - 23% 21% 22% 24% 20% 26% 27% 18% 15% 21% 17% 25% 21% 23% 22% 27% 20% 21% 23% 24% 20%

h KL KL mN t x

Too many

- - - 590 633 624 281 342 154 98 187 185 240 122 229 223 180 220 109 259 116 140 321 303- - - 29% 32% 31% 29% 33% 26% 21% 36% 44% 38% 36% 23% 34% 25% 34% 31% 34% 28% 29% 28% 35%

IJ IJk O O Q Q u W


- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Podcasts






- - - 126 137 140 76 64 77 42 14 7 37 14 84 48 49 43 28 56 18 37 93 47- - - 6% 7% 7% 8% 6% 13% 9% 3% 2% 6% 4% 9% 7% 7% 7% 8% 7% 4% 8% 8% 5%

jKL KL N u x

Too few

- - - 556 590 561 293 268 200 159 142 60 138 97 316 174 237 150 97 203 130 132 317 245- - - 28% 30% 28% 30% 26% 33% 33% 28% 14% 22% 29% 32% 26% 33% 23% 28% 27% 31% 28% 27% 28%

h L L L M M PR

Just enough

- - - 271 211 275 162 114 119 89 35 32 79 36 156 68 102 104 49 94 42 90 176 99- - - 13% 11% 14% 17% 11% 20% 19% 7% 8% 13% 11% 16% 10% 14% 16% 14% 12% 10% 19% 15% 12%

E E H KL KL n p P TU x

Too many

- - - 1063 1055 1037 436 601 206 187 324 320 373 189 427 368 322 347 177 408 231 221 568 469- - - 53% 53% 52% 45% 57% 34% 39% 63% 76% 59% 56% 43% 56% 45% 54% 50% 54% 55% 46% 49% 55%

G IJ IJK O O Q Q V V w


- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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)






- - - 132 147 155 77 78 81 42 23 9 44 21 87 52 54 49 29 69 25 32 101 54- - - 7% 7% 8% 8% 7% 14% 9% 4% 2% 7% 6% 9% 8% 8% 8% 8% 9% 6% 7% 9% 6%

JKL KL x

Too few

- - - 620 547 577 279 298 204 169 123 80 145 94 321 172 241 164 109 195 127 146 327 250- - - 31% 27% 29% 29% 29% 34% 36% 24% 19% 23% 28% 33% 26% 34% 25% 31% 26% 30% 31% 28% 29%

e KL KL M PR

Just enough

- - - 296 221 267 160 107 117 90 39 21 75 42 147 76 108 84 47 103 50 68 172 96- - - 15% 11% 13% 17% 10% 19% 19% 8% 5% 12% 12% 15% 12% 15% 13% 13% 13% 12% 14% 15% 11%

E e H KL KL x

Too many

- - - 969 1077 1014 451 562 199 175 331 310 362 180 427 358 309 347 167 394 219 233 553 461- - - 48% 54% 50% 47% 54% 33% 37% 64% 74% 58% 53% 44% 54% 43% 54% 48% 52% 52% 49% 48% 54%

Df G IJ IJK O O Q Q W


- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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)






- - - 194 208 194 94 100 102 62 25 5 65 32 96 63 73 58 45 65 37 47 128 66- - - 10% 10% 10% 10% 10% 17% 13% 5% 1% 10% 10% 10% 10% 10% 9% 13% 9% 9% 10% 11% 8%

KL KL L t X

Too few

- - - 824 809 791 401 390 282 221 190 98 206 118 440 235 320 235 143 291 176 182 421 370- - - 41% 41% 39% 41% 37% 47% 46% 37% 23% 33% 35% 45% 36% 45% 37% 41% 38% 42% 38% 37% 43%

KL KL L MN PR W

Just enough

- - - 270 218 316 171 145 143 94 52 27 99 48 163 90 117 109 62 116 58 81 192 124- - - 13% 11% 16% 18% 14% 24% 20% 10% 6% 16% 14% 17% 14% 16% 17% 18% 15% 14% 17% 17% 14%

e E h KL KL

Too many

- - - 728 757 712 301 411 74 99 248 290 257 139 283 269 200 242 102 289 151 169 412 300- - - 36% 38% 35% 31% 39% 12% 21% 48% 69% 41% 41% 29% 41% 28% 38% 29% 38% 36% 35% 36% 35%

G I IJ IJK O O Q Q S


- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Dating apps






- - - 130 122 161 87 74 84 50 24 2 49 13 95 53 62 45 35 58 33 34 101 60- - - 6% 6% 8% 9% 7% 14% 11% 5% * 8% 4% 10% 8% 9% 7% 10% 8% 8% 7% 9% 7%

e KL KL L N N

Too few

- - - 330 339 296 174 121 130 85 64 16 82 48 158 89 130 77 67 104 62 64 173 123- - - 16% 17% 15% 18% 12% 22% 18% 12% 4% 13% 14% 16% 13% 18% 12% 19% 14% 15% 13% 15% 14%

H KL kL L pR tv

Just enough

- - - 187 177 177 110 67 90 53 24 10 59 31 86 52 57 68 34 55 36 52 104 73- - - 9% 9% 9% 11% 6% 15% 11% 5% 2% 9% 9% 9% 8% 8% 11% 10% 7% 9% 11% 9% 8%

H KL KL t

Too many

- - - 1369 1355 1380 596 784 297 288 403 392 436 245 644 464 462 454 216 544 290 329 775 604- - - 68% 68% 69% 62% 75% 49% 61% 78% 93% 70% 73% 66% 71% 65% 70% 61% 71% 69% 69% 67% 70%

G I IJ IJK o q q S s s


- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Games






- - - 233 252 254 120 134 129 73 32 19 81 36 129 68 101 85 56 93 47 58 153 100- - - 12% 13% 13% 12% 13% 21% 15% 6% 4% 13% 11% 13% 10% 14% 13% 16% 12% 11% 12% 13% 12%

JKL KL p

Too few

- - - 766 742 789 367 422 265 218 191 116 238 127 399 247 308 234 140 283 184 181 434 355- - - 38% 37% 39% 38% 40% 44% 46% 37% 28% 38% 38% 41% 38% 43% 36% 40% 37% 44% 38% 38% 41%

kL KL L pR t

Just enough

- - - 314 278 299 165 134 135 87 45 32 99 44 149 83 111 105 52 108 48 90 183 116- - - 16% 14% 15% 17% 13% 22% 18% 9% 8% 16% 13% 15% 13% 16% 16% 15% 14% 11% 19% 16% 14%

H KL KL U

Too many

- - - 704 721 671 315 356 72 99 247 253 209 130 305 260 191 220 104 276 142 149 384 288- - - 35% 36% 33% 33% 34% 12% 21% 48% 60% 33% 38% 31% 39% 27% 34% 29% 36% 34% 31% 33% 33%

I IJ IJK O Q Q s


- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 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)






- - - - 226 220 108 112 113 67 21 19 67 35 113 57 99 65 50 69 45 55 132 89- - - - 11% 11% 11% 11% 19% 14% 4% 5% 11% 10% 11% 9% 14% 10% 14% 9% 11% 12% 11% 10%

jKL KL Pr T

Too few

- - - - 927 947 457 490 272 258 257 160 261 157 495 292 360 295 161 363 203 220 536 412- - - - 47% 47% 47% 47% 45% 54% 50% 38% 42% 47% 50% 44% 51% 46% 46% 48% 48% 46% 46% 48%

l IL L M p

Just enough

- - - - 314 363 196 167 165 104 65 30 108 53 195 110 135 118 68 137 63 95 220 143- - - - 16% 18% 20% 16% 27% 22% 13% 7% 17% 16% 20% 17% 19% 18% 19% 18% 15% 20% 19% 17%

H jKL KL L

Too many

- - - - 526 482 205 277 52 48 172 210 190 92 180 200 117 165 73 191 110 108 266 217- - - - 26% 24% 21% 27% 9% 10% 33% 50% 30% 27% 18% 30% 16% 26% 21% 25% 26% 23% 23% 25%

G IJ IJK O O Q Q


- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 199MED04 Do you ever click on the ads you see related to COVID19?






- - - 844 903 888 408 480 283 276 185 144 275 136 451 296 354 239 169 350 176 193 586 303- - - 42% 45% 44% 42% 46% 47% 58% 36% 34% 44% 40% 46% 45% 50% 37% 48% 46% 42% 40% 51% 35%

d KL IKL R R v X

Always/Often/Sometimes(Net)

- - - 159 154 134 85 49 37 61 22 14 24 14 89 65 42 26 28 53 26 28 109 25- - - 8% 8% 7% 9% 5% 6% 13% 4% 3% 4% 4% 9% 10% 6% 4% 8% 7% 6% 6% 9% 3%

H IKL MN QR X

Always

- - - 171 220 197 98 99 70 68 34 25 58 32 104 83 73 41 38 74 45 40 125 72- - - 8% 11% 10% 10% 9% 12% 14% 7% 6% 9% 9% 11% 13% 10% 6% 11% 10% 11% 8% 11% 8%

D KL KL R R

Often

- - - 513 529 557 226 332 176 148 129 105 194 90 258 148 238 171 104 224 105 125 351 206- - - 25% 27% 28% 23% 32% 29% 31% 25% 25% 31% 27% 26% 23% 33% 27% 29% 29% 25% 26% 30% 24%

G k o PR X

Sometimes

- - - 1172 1090 1125 558 566 318 200 330 276 351 202 531 362 358 405 183 411 245 286 568 557- - - 58% 55% 56% 58% 54% 53% 42% 64% 66% 56% 60% 54% 55% 50% 63% 52% 54% 58% 60% 49% 65%

e J IJ IJ PQ s W

Never/Rarely (Net)

- - - 371 394 413 206 207 128 83 106 96 138 71 192 129 146 138 68 163 85 97 213 200- - - 18% 20% 21% 21% 20% 21% 17% 21% 23% 22% 21% 20% 20% 20% 21% 19% 21% 20% 20% 18% 23%

W

Rarely

- - - 801 696 712 352 359 190 117 224 180 213 130 339 233 212 267 115 248 160 189 354 357- - - 40% 35% 35% 36% 34% 32% 25% 44% 43% 34% 39% 35% 35% 30% 41% 33% 33% 38% 39% 31% 42%

EF J IJ IJ q pQ t W

Never

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 200MED05 What is your opinion of companies who create advertisements about COVID-19?






- - - 817 753 802 374 428 235 199 203 164 259 136 383 262 306 234 142 313 163 184 474 327- - - 41% 38% 40% 39% 41% 39% 42% 39% 39% 41% 40% 39% 40% 43% 36% 40% 41% 39% 38% 41% 38%

r

I think it is a good thingregardless of actions theyhave taken, it shows theycare

- - - 693 721 659 314 346 180 155 165 160 204 108 334 229 234 196 114 248 138 160 377 282- - - 34% 36% 33% 32% 33% 30% 33% 32% 38% 33% 32% 34% 35% 33% 31% 32% 33% 33% 33% 33% 33%

f I

Marketers should onlyadvertise if they are havetaken action to addressCOVID19

- - - 506 519 552 280 272 186 122 147 97 164 94 265 167 171 213 96 200 120 136 302 250- - - 25% 26% 27% 29% 26% 31% 26% 29% 23% 26% 28% 27% 25% 24% 33% 27% 26% 28% 28% 26% 29%

L PQ

I think they’re just doing itfor publicity, most of themfeel contrived/forced

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 201MED10 How much more entertainment programming are you watching than before the coronavirus crisis?






- - - - 125 120 63 57 48 34 30 8 56 13 43 34 43 43 21 50 15 33 71 49- - - - 6% 6% 7% 5% 8% 7% 6% 2% 9% 4% 4% 5% 6% 7% 6% 7% 4% 7% 6% 6%

L L L NO u u

Less than I was before

- - - - 739 709 352 357 145 129 233 201 255 123 308 257 224 228 118 280 167 144 386 323- - - - 37% 35% 36% 34% 24% 27% 45% 48% 41% 36% 31% 39% 31% 35% 33% 37% 40% 30% 33% 38%

IJ IJ O Q v V

Same amount

- - - - 505 538 263 274 162 125 123 128 125 91 309 180 207 151 101 185 112 139 308 229- - - - 25% 27% 27% 26% 27% 26% 24% 30% 20% 27% 31% 27% 29% 23% 29% 24% 27% 29% 27% 27%

k M M r

Up to 2 hours more thanbefore

- - - - 315 353 173 180 131 104 67 50 88 62 192 105 124 123 64 141 69 80 222 131- - - - 16% 18% 18% 17% 22% 22% 13% 12% 14% 18% 20% 16% 17% 19% 18% 18% 16% 17% 19% 15%

KL KL M x

Up to 4 hours more thanbefore

- - - - 309 294 116 178 114 84 62 34 102 49 130 82 114 98 49 104 59 83 166 128- - - - 15% 15% 12% 17% 19% 18% 12% 8% 16% 14% 13% 13% 16% 15% 14% 14% 14% 17% 14% 15%

G KL KL

More than four hours ofadditional viewing

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 202MED07 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

Summary Of More






- - - 629 662 690 353 336 258 209 107 117 142 109 428 237 268 185 139 249 133 168 445 244- - - 31% 33% 34% 37% 32% 43% 44% 21% 28% 23% 32% 44% 36% 38% 29% 40% 33% 32% 35% 39% 28%

KL KL k M MN R R tu X

Amazon Prime

- - - 331 303 360 204 156 172 110 50 28 79 49 225 125 148 87 76 116 68 99 229 131- - - 16% 15% 18% 21% 15% 29% 23% 10% 7% 13% 14% 23% 19% 21% 13% 22% 15% 16% 21% 20% 15%

e H jKL KL MN R R T t X

DoorDash

- - - 341 288 350 206 144 174 124 30 22 65 41 242 127 156 67 72 128 53 97 224 126- - - 17% 14% 17% 21% 14% 29% 26% 6% 5% 10% 12% 25% 19% 22% 10% 21% 17% 13% 20% 19% 15%

e E H KL KL MN R R U U X

UberEATS

- - - 303 250 293 186 107 137 99 41 16 49 35 202 105 130 57 67 104 47 74 201 92- - - 15% 13% 15% 19% 10% 23% 21% 8% 4% 8% 10% 21% 16% 18% 9% 19% 14% 11% 15% 17% 11%

e H KL KL l MN R R tU X

GrubHub

- - - 270 236 240 150 90 127 83 24 6 43 33 160 79 109 52 65 73 29 74 170 70- - - 13% 12% 12% 16% 9% 21% 18% 5% 2% 7% 10% 16% 12% 15% 8% 19% 10% 7% 15% 15% 8%

H KL KL L MN r R TU TU X

PostMates

- - - 201 181 179 119 60 91 64 16 9 24 19 131 74 60 45 47 59 29 43 126 54- - - 10% 9% 9% 12% 6% 15% 13% 3% 2% 4% 6% 13% 11% 8% 7% 13% 8% 7% 9% 11% 6%

H KL KL MN R TU X

HelloFresh




Summary Of Less






- - - 495 508 497 254 244 188 128 98 84 196 73 211 144 196 158 102 212 93 90 272 226- - - 25% 25% 25% 26% 23% 31% 27% 19% 20% 31% 22% 22% 22% 28% 24% 29% 28% 22% 19% 24% 26%

KL Kl NO p uV uV

HelloFresh

- - - 461 495 482 243 239 175 125 96 87 185 73 210 144 189 150 93 209 96 85 266 216- - - 23% 25% 24% 25% 23% 29% 26% 19% 21% 30% 22% 21% 22% 27% 23% 26% 27% 23% 18% 23% 25%

KL K NO V V

GrubHub

- - - 463 471 479 236 243 174 124 96 86 183 73 212 146 182 151 91 209 97 82 262 217- - - 23% 24% 24% 24% 23% 29% 26% 19% 20% 29% 22% 22% 22% 26% 24% 26% 27% 23% 17% 23% 25%

KL K NO V V v

PostMates

- - - 442 483 472 241 231 172 115 100 85 178 71 202 138 171 163 93 206 92 81 256 216- - - 22% 24% 23% 25% 22% 29% 24% 19% 20% 28% 21% 21% 21% 24% 25% 26% 27% 22% 17% 22% 25%

KL NO V V

UberEATS

- - - 448 479 446 227 219 158 113 92 83 169 67 192 138 168 140 82 199 89 75 248 198- - - 22% 24% 22% 23% 21% 26% 24% 18% 20% 27% 20% 20% 21% 24% 22% 23% 26% 21% 16% 21% 23%

Kl k NO V V v

DoorDash

- - - 369 345 334 172 162 127 81 75 51 147 51 123 96 123 114 63 144 75 53 169 165- - - 18% 17% 17% 18% 15% 21% 17% 14% 12% 24% 15% 13% 15% 17% 18% 18% 19% 18% 11% 15% 19%

KL NO V V V W

Amazon Prime










- - - 1320 1304 1337 595 742 323 284 402 328 407 245 640 441 454 441 202 490 298 346 756 580- - - 65% 65% 66% 61% 71% 54% 60% 78% 78% 65% 73% 65% 67% 64% 69% 57% 64% 71% 72% 66% 68%

G IJ IJ MO s St ST

HelloFresh

- - - 1282 1286 1293 580 713 301 269 396 328 401 231 611 433 420 440 196 479 295 323 721 573- - - 64% 65% 64% 60% 68% 50% 56% 77% 78% 64% 69% 62% 66% 59% 68% 56% 63% 70% 67% 62% 67%

G i IJ IJ o Q Q s ST S

PostMates

- - - 1252 1248 1238 538 700 289 253 379 317 392 230 570 409 392 436 192 447 278 320 686 551- - - 62% 63% 61% 56% 67% 48% 53% 73% 76% 63% 68% 58% 62% 55% 68% 55% 59% 66% 67% 60% 64%

G IJ IJ O Q pQ ST ST w

GrubHub

- - - 1236 1211 1207 537 671 271 253 373 310 378 222 565 396 395 417 194 445 264 304 677 531- - - 61% 61% 60% 55% 64% 45% 53% 72% 74% 60% 66% 58% 60% 56% 65% 55% 59% 63% 64% 59% 62%

G I IJ IJ O Q s s

DoorDash

- - - 1233 1222 1191 520 671 255 237 386 313 383 226 538 393 384 414 187 427 276 301 674 517- - - 61% 61% 59% 54% 64% 42% 50% 75% 74% 61% 67% 55% 60% 54% 64% 53% 56% 66% 63% 58% 60%

G I IJ IJ O O q Q ST St

UberEATS

- - - 1018 986 989 442 548 216 186 334 253 337 177 431 326 320 344 150 368 213 257 539 450- - - 51% 49% 49% 46% 52% 36% 39% 65% 60% 54% 53% 44% 49% 45% 53% 43% 48% 51% 54% 47% 52%

G IJ IJ O O Q s S W

Amazon Prime



14 Apr 2020Table 205MED07_1 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

Amazon Prime






- - - 629 662 690 353 336 258 209 107 117 142 109 428 237 268 185 139 249 133 168 445 244- - - 31% 33% 34% 37% 32% 43% 44% 21% 28% 23% 32% 44% 36% 38% 29% 40% 33% 32% 35% 39% 28%

KL KL k M MN R R tu X

More

- - - 369 345 334 172 162 127 81 75 51 147 51 123 96 123 114 63 144 75 53 169 165- - - 18% 17% 17% 18% 15% 21% 17% 14% 12% 24% 15% 13% 15% 17% 18% 18% 19% 18% 11% 15% 19%

KL NO V V V W

Less

- - - 1018 986 989 442 548 216 186 334 253 337 177 431 326 320 344 150 368 213 257 539 450- - - 51% 49% 49% 46% 52% 36% 39% 65% 60% 54% 53% 44% 49% 45% 53% 43% 48% 51% 54% 47% 52%

G IJ IJ O O Q s S W

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




UberEATS






- - - 341 288 350 206 144 174 124 30 22 65 41 242 127 156 67 72 128 53 97 224 126- - - 17% 14% 17% 21% 14% 29% 26% 6% 5% 10% 12% 25% 19% 22% 10% 21% 17% 13% 20% 19% 15%

e E H KL KL MN R R U U X

More

- - - 442 483 472 241 231 172 115 100 85 178 71 202 138 171 163 93 206 92 81 256 216- - - 22% 24% 23% 25% 22% 29% 24% 19% 20% 28% 21% 21% 21% 24% 25% 26% 27% 22% 17% 22% 25%

KL NO V V

Less

- - - 1233 1222 1191 520 671 255 237 386 313 383 226 538 393 384 414 187 427 276 301 674 517- - - 61% 61% 59% 54% 64% 42% 50% 75% 74% 61% 67% 55% 60% 54% 64% 53% 56% 66% 63% 58% 60%

G I IJ IJ O O q Q ST St

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




GrubHub






- - - 303 250 293 186 107 137 99 41 16 49 35 202 105 130 57 67 104 47 74 201 92- - - 15% 13% 15% 19% 10% 23% 21% 8% 4% 8% 10% 21% 16% 18% 9% 19% 14% 11% 15% 17% 11%

e H KL KL l MN R R tU X

More

- - - 461 495 482 243 239 175 125 96 87 185 73 210 144 189 150 93 209 96 85 266 216- - - 23% 25% 24% 25% 23% 29% 26% 19% 21% 30% 22% 21% 22% 27% 23% 26% 27% 23% 18% 23% 25%

KL K NO V V

Less

- - - 1252 1248 1238 538 700 289 253 379 317 392 230 570 409 392 436 192 447 278 320 686 551- - - 62% 63% 61% 56% 67% 48% 53% 73% 76% 63% 68% 58% 62% 55% 68% 55% 59% 66% 67% 60% 64%

G IJ IJ O Q pQ ST ST w

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




PostMates






- - - 270 236 240 150 90 127 83 24 6 43 33 160 79 109 52 65 73 29 74 170 70- - - 13% 12% 12% 16% 9% 21% 18% 5% 2% 7% 10% 16% 12% 15% 8% 19% 10% 7% 15% 15% 8%

H KL KL L MN r R TU TU X

More

- - - 463 471 479 236 243 174 124 96 86 183 73 212 146 182 151 91 209 97 82 262 217- - - 23% 24% 24% 24% 23% 29% 26% 19% 20% 29% 22% 22% 22% 26% 24% 26% 27% 23% 17% 23% 25%

KL K NO V V v

Less

- - - 1282 1286 1293 580 713 301 269 396 328 401 231 611 433 420 440 196 479 295 323 721 573- - - 64% 65% 64% 60% 68% 50% 56% 77% 78% 64% 69% 62% 66% 59% 68% 56% 63% 70% 67% 62% 67%

G i IJ IJ o Q Q s ST S

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




HelloFresh






- - - 201 181 179 119 60 91 64 16 9 24 19 131 74 60 45 47 59 29 43 126 54- - - 10% 9% 9% 12% 6% 15% 13% 3% 2% 4% 6% 13% 11% 8% 7% 13% 8% 7% 9% 11% 6%

H KL KL MN R TU X

More

- - - 495 508 497 254 244 188 128 98 84 196 73 211 144 196 158 102 212 93 90 272 226- - - 25% 25% 25% 26% 23% 31% 27% 19% 20% 31% 22% 22% 22% 28% 24% 29% 28% 22% 19% 24% 26%

KL Kl NO p uV uV

Less

- - - 1320 1304 1337 595 742 323 284 402 328 407 245 640 441 454 441 202 490 298 346 756 580- - - 65% 65% 66% 61% 71% 54% 60% 78% 78% 65% 73% 65% 67% 64% 69% 57% 64% 71% 72% 66% 68%

G IJ IJ MO s St ST

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




DoorDash






- - - 331 303 360 204 156 172 110 50 28 79 49 225 125 148 87 76 116 68 99 229 131- - - 16% 15% 18% 21% 15% 29% 23% 10% 7% 13% 14% 23% 19% 21% 13% 22% 15% 16% 21% 20% 15%

e H jKL KL MN R R T t X

More

- - - 448 479 446 227 219 158 113 92 83 169 67 192 138 168 140 82 199 89 75 248 198- - - 22% 24% 22% 23% 21% 26% 24% 18% 20% 27% 20% 20% 21% 24% 22% 23% 26% 21% 16% 21% 23%

Kl k NO V V v

Less

- - - 1236 1211 1207 537 671 271 253 373 310 378 222 565 396 395 417 194 445 264 304 677 531- - - 61% 61% 60% 55% 64% 45% 53% 72% 74% 60% 66% 58% 60% 56% 65% 55% 59% 63% 64% 59% 62%

G I IJ IJ O Q s s

About the same

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 211Q23 Once they are allowed to reopen, should certain businesses that host events (e.g., concert venues, convention centers)

be required to conduct health screening before allowing people to enter?





- - - 2016 - 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base-** -** -** 2016 -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

- - - 1552 - 1504 720 785 457 358 368 322 449 240 772 500 566 438 254 572 311 368 855 650- - - 77% - 75% 74% 75% 76% 75% 71% 77% 72% 71% 79% 76% 80% 68% 72% 75% 74% 77% 74% 76%

MN R R

Yes

- - - 464 - 509 247 261 144 118 148 98 178 97 211 158 145 206 98 189 110 111 299 210- - - 23% - 25% 26% 25% 24% 25% 29% 23% 28% 29% 21% 24% 20% 32% 28% 25% 26% 23% 26% 24%

O O PQ

No

- - - 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 212Q24 Would you be willing to share your mobile location data so that you can be alerted if you were to enter an area that

posed a health risk (e.g., a quarantined zone or an area with several cases of COVID-19).





- - - 2016 - 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base-** -** -** 2016 -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

- - - 1435 - 1384 644 740 427 333 342 283 410 230 706 453 522 409 225 525 299 335 811 573- - - 71% - 69% 67% 71% 71% 70% 66% 67% 65% 68% 72% 69% 73% 63% 64% 69% 71% 70% 70% 67%

M R s

Would be willing

- - - 581 - 629 323 306 174 143 174 138 216 108 276 205 189 235 127 236 122 144 342 287- - - 29% - 31% 33% 29% 29% 30% 34% 33% 35% 32% 28% 31% 27% 37% 36% 31% 29% 30% 30% 33%

O Q u

Would not be willing

- - - 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 213Q33B 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)

1503 1191 1253 1902 1277 1670 1251 1369 1628 1659 1292 1844Unweighted Base1562 1232 1315 1912 1300 1702 1241 1408 1659 1678 1310 1858Weighted Base

123 153 77 293 105 127 378 106 150 139 141 1768% 12% 6% 15% 8% 7% 30% 8% 9% 8% 11% 9%C ACEFHIJL ABCEFHIJKL C c ABCDEFHIJKL c Cf C ACEFHJ aCFH

Immediately

166 233 97 468 153 215 320 192 259 266 214 23111% 19% 7% 24% 12% 13% 26% 14% 16% 16% 16% 12%C ACEFHIJL ABCEFHIJKL C aC ABCEFHIJKL AC ACEFL ACEFL ACEFhL C

1-30 days

280 269 155 477 265 362 224 283 412 356 257 30818% 22% 12% 25% 20% 21% 18% 20% 25% 21% 20% 17%C ACGL AbCEFGHJKL CL ACgL C CL AbCEFGHJKL ACgL Cl C

2-3 months

314 217 184 390 237 355 145 294 319 390 229 35120% 18% 14% 20% 18% 21% 12% 21% 19% 23% 17% 19%

CG CG bCGk CG bCGK bCGk CG aBCdEGIKL cG CG

4-6 months

243 118 134 133 154 222 78 193 206 200 136 15816% 10% 10% 7% 12% 13% 6% 14% 12% 12% 10% 8%

BCDEfGIJKL DG DG DGL BCDGkL BCDGKL BDGL bDGL DG g

7-11 months

343 129 389 120 295 355 64 270 242 259 187 28422% 10% 30% 6% 23% 21% 5% 19% 15% 15% 14% 15%

BDGhIJKL DG ABDEFGHIJKL BDGHIJKL BDGIJKL BDGIJKL BDG BDG BDG BDG

A year or longer

93 114 280 32 92 66 32 70 70 69 146 3516% 9% 21% 2% 7% 4% 3% 5% 4% 4% 11% 19%

DFGiJ ADeFGHIJ ABDEFGHIJK DFGHIJ Dg DG DG DG ADEFGHIJ ABDEFGHIJK

Never again

1562 1232 1315 1912 1300 1702 1241 1408 1659 1678 1310 1858100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma

__________________________________________________________Proportions/Means: All Columns Tested (5%, 10% risk level)Overlap formulae used.


14 Apr 2020Table 214Q33B_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






- - 126 102 101 123 75 48 56 37 21 8 26 20 75 50 44 29 29 30 21 42 78 45- - 8% 7% 7% 8% 9% 6% 12% 10% 5% 3% 7% 8% 8% 10% 8% 6% 10% 5% 7% 11% 8% 7%

h KL kL r T T

Immediately

- - 188 196 187 166 102 64 61 54 31 19 30 25 105 55 53 58 29 54 37 46 109 57- - 12% 13% 12% 11% 13% 8% 13% 14% 8% 7% 8% 10% 12% 11% 9% 12% 10% 10% 11% 12% 12% 9%

H kL KL m

1-30 days

- - 327 292 286 280 142 138 103 64 59 54 60 46 169 94 100 85 54 107 53 65 169 111- - 20% 19% 19% 18% 18% 18% 21% 16% 15% 18% 16% 18% 19% 19% 17% 18% 19% 19% 17% 17% 18% 18%

k

2-3 months

- - 359 316 285 314 169 145 93 72 99 50 77 54 179 92 131 90 64 102 65 82 194 120- - 22% 20% 19% 20% 21% 19% 19% 18% 25% 17% 20% 21% 20% 18% 23% 19% 22% 18% 20% 21% 21% 19%

E jl

4-6 months

- - 179 217 179 243 115 128 71 60 60 52 46 35 159 63 93 87 37 94 44 68 144 99- - 11% 14% 12% 16% 14% 17% 15% 15% 15% 18% 12% 14% 18% 13% 16% 18% 13% 17% 14% 17% 15% 16%

c CE M p

7-11 months

- - 319 359 384 343 159 184 71 74 107 91 107 59 167 113 119 112 61 124 82 76 182 161- - 20% 23% 25% 22% 20% 24% 15% 19% 27% 30% 28% 23% 19% 22% 21% 23% 21% 22% 25% 19% 20% 26%

c C IJ IJ O W

A year or longer

- - 101 78 110 93 37 57 25 31 14 23 37 14 39 35 33 24 11 47 21 14 56 37- - 6% 5% 7% 6% 5% 7% 5% 8% 4% 8% 10% 6% 4% 7% 6% 5% 4% 8% 6% 4% 6% 6%

D g K k nO sV

Never again

- - 1599 1558 1532 1562 798 763 482 392 390 297 383 252 893 503 574 485 285 558 324 394 932 629- - 100% 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 gym class





- - 1315 1276 1156 1191 591 600 508 341 210 132 453 191 514 373 468 350 235 440 246 270 663 528Unweighted Base-** -** 1319 1330 1190 1232 642 590 488 326 244 174* 314 189 691 378 487 366 240 441 255 296 714 518Weighted Base

- - 157 164 176 153 86 68 70 40 22 20 32 29 87 51 58 44 32 60 22 39 89 64- - 12% 12% 15% 12% 13% 11% 14% 12% 9% 12% 10% 15% 13% 13% 12% 12% 13% 14% 8% 13% 12% 12%

c

Immediately

- - 336 316 253 233 136 97 103 72 28 30 57 39 132 80 80 73 46 85 57 45 134 99- - 25% 24% 21% 19% 21% 16% 21% 22% 12% 17% 18% 20% 19% 21% 16% 20% 19% 19% 23% 15% 19% 19%

EF F K K v

1-30 days

- - 278 257 259 269 148 121 115 62 59 32 60 32 168 91 101 77 66 85 52 66 155 114- - 21% 19% 22% 22% 23% 21% 24% 19% 24% 19% 19% 17% 24% 24% 21% 21% 27% 19% 21% 22% 22% 22%

n t

2-3 months

- - 219 233 176 217 93 124 87 55 44 31 54 38 122 72 82 62 46 72 46 52 129 88- - 17% 18% 15% 18% 14% 21% 18% 17% 18% 18% 17% 20% 18% 19% 17% 17% 19% 16% 18% 17% 18% 17%

G

4-6 months

- - 111 115 101 118 65 53 53 27 21 16 24 15 74 23 53 42 16 33 22 47 58 60- - 8% 9% 9% 10% 10% 9% 11% 8% 9% 9% 8% 8% 11% 6% 11% 11% 7% 7% 9% 16% 8% 11%

P P STu

7-11 months

- - 125 163 115 129 63 66 33 45 36 16 48 22 54 27 73 29 22 53 31 24 86 43- - 9% 12% 10% 10% 10% 11% 7% 14% 15% 9% 15% 11% 8% 7% 15% 8% 9% 12% 12% 8% 12% 8%

c I I O PR x

A year or longer

- - 94 82 109 114 53 61 28 25 34 27 40 14 56 35 40 39 13 53 24 24 62 52- - 7% 6% 9% 9% 8% 10% 6% 8% 14% 16% 13% 8% 8% 9% 8% 11% 5% 12% 10% 8% 9% 10%

D D Ij IJ O S

Never again

- - 1319 1330 1190 1232 642 590 488 326 244 174 314 189 691 378 487 366 240 441 255 296 714 518- - 100% 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 41 36 31 27 15 4 19 13 42 31 30 16 14 24 14 25 52 25- - 7% 5% 6% 6% 6% 6% 7% 8% 5% 2% 6% 6% 6% 7% 6% 4% 5% 5% 6% 8% 7% 5%

L L

Immediately

- - 103 94 85 97 68 29 46 45 5 2 21 8 64 42 32 23 27 33 18 20 65 33- - 7% 7% 7% 7% 10% 5% 11% 13% 2% 1% 7% 4% 8% 10% 7% 6% 10% 7% 7% 7% 8% 6%

H KL KL n

1-30 days

- - 151 144 121 155 97 58 72 43 27 12 30 30 93 55 47 53 44 56 28 27 101 54- - 11% 11% 9% 12% 14% 9% 17% 12% 9% 5% 10% 13% 12% 12% 10% 13% 17% 11% 11% 9% 13% 10%

H KL L tuV

2-3 months

- - 188 184 159 184 113 72 82 38 33 31 36 34 114 55 77 52 35 70 26 53 121 63- - 14% 14% 12% 14% 17% 11% 19% 11% 11% 13% 12% 15% 15% 12% 16% 13% 14% 14% 10% 17% 15% 12%

H JK u

4-6 months

- - 153 144 139 134 82 52 48 35 26 25 23 24 86 43 46 45 24 56 20 34 89 45- - 11% 11% 11% 10% 12% 8% 11% 10% 9% 10% 8% 11% 11% 10% 10% 11% 9% 11% 8% 11% 11% 9%

h

7-11 months

- - 436 418 411 389 164 225 106 102 102 79 100 63 218 126 139 123 69 150 78 91 234 154- - 32% 32% 32% 30% 24% 35% 24% 29% 34% 33% 32% 29% 29% 29% 29% 31% 27% 30% 30% 30% 29% 30%

G I i

A year or longer

- - 259 253 291 280 118 161 51 56 89 84 79 50 144 90 101 89 44 104 75 57 137 143- - 19% 19% 23% 21% 17% 25% 12% 16% 30% 35% 26% 23% 19% 20% 21% 22% 17% 21% 29% 19% 17% 28%

C G IJ IJ O StV W

Never again

- - 1382 1303 1276 1315 681 634 435 347 297 237 308 222 761 442 472 401 257 494 258 307 800 516- - 100% 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






- - 300 265 238 293 158 135 107 80 64 42 95 44 142 110 83 100 47 111 59 75 159 134- - 16% 14% 13% 15% 17% 14% 19% 18% 13% 10% 17% 13% 15% 17% 12% 17% 14% 16% 15% 17% 14% 17%

E e KL kL Q q

Immediately

- - 571 557 569 468 251 217 150 120 106 93 128 92 233 170 152 146 83 178 103 105 271 197- - 30% 29% 30% 24% 27% 22% 26% 27% 22% 23% 23% 28% 24% 27% 22% 24% 24% 25% 25% 23% 24% 24%

F F F H

1-30 days

- - 466 500 464 477 221 256 139 104 124 109 132 65 266 156 173 148 100 175 97 104 292 184- - 24% 26% 25% 25% 24% 26% 24% 23% 25% 27% 24% 20% 28% 25% 25% 25% 30% 24% 24% 23% 26% 23%

N v

2-3 months

- - 280 321 311 390 175 215 88 82 122 98 101 68 210 117 168 105 64 143 72 110 233 157- - 15% 17% 17% 20% 19% 22% 15% 18% 25% 25% 18% 21% 22% 18% 25% 18% 19% 20% 18% 24% 21% 20%

CDE Ij Ij PR u

4-6 months

- - 125 126 120 133 62 71 46 26 36 24 36 32 64 37 52 44 21 52 28 31 65 68- - 7% 7% 6% 7% 7% 7% 8% 6% 7% 6% 6% 9% 7% 6% 8% 7% 6% 7% 7% 7% 6% 8%

w

7-11 months

- - 129 121 151 120 42 78 27 31 38 24 54 23 37 31 44 45 18 47 35 20 70 50- - 7% 6% 8% 6% 5% 8% 5% 7% 8% 6% 10% 7% 4% 5% 6% 8% 5% 7% 9% 4% 6% 6%

G O o V

A year or longer

- - 43 21 30 32 18 14 14 5 3 11 12 8 10 11 11 10 4 9 9 10 17 15- - 2% 1% 2% 2% 2% 1% 2% 1% 1% 3% 2% 2% 1% 2% 2% 2% 1% 1% 2% 2% 2% 2%

D k k

Never again

- - 1913 1910 1882 1912 927 985 571 447 493 401 559 332 962 632 682 598 338 715 403 455 1107 805- - 100% 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 63 42 45 33 18 9 35 18 48 43 37 25 23 26 20 36 64 41- - 9% 8% 8% 8% 9% 7% 10% 9% 6% 4% 10% 9% 7% 10% 8% 6% 9% 6% 7% 11% 8% 8%

l t

Immediately

- - 185 190 152 153 93 60 59 56 27 10 50 23 76 59 46 48 36 46 26 45 95 57- - 13% 14% 12% 12% 14% 10% 14% 16% 9% 5% 14% 12% 11% 14% 10% 12% 15% 10% 10% 13% 12% 11%

L KL

1-30 days

- - 300 243 235 265 146 118 98 72 58 38 56 45 159 94 88 83 64 82 67 51 174 90- - 21% 18% 19% 20% 21% 19% 22% 20% 19% 19% 15% 22% 23% 22% 18% 21% 26% 18% 25% 15% 22% 18%

m M TV tV

2-3 months

- - 255 256 217 237 144 93 87 49 54 48 64 39 130 75 92 70 47 85 39 67 147 90- - 18% 19% 18% 18% 21% 15% 20% 14% 18% 24% 18% 19% 19% 18% 19% 18% 19% 19% 14% 20% 19% 18%

H j J

4-6 months

- - 166 151 150 154 79 75 47 59 31 16 37 19 94 48 59 47 26 52 28 48 97 56- - 12% 11% 12% 12% 11% 12% 11% 16% 10% 8% 10% 9% 13% 11% 12% 12% 10% 12% 10% 14% 12% 11%

ikL

7-11 months

- - 252 281 278 295 122 173 64 74 95 62 94 46 145 80 118 97 36 112 75 72 167 128- - 18% 21% 23% 23% 18% 28% 15% 21% 31% 31% 26% 23% 21% 19% 25% 25% 15% 25% 28% 21% 21% 25%

c C C G i IJ IJ p S S

A year or longer

- - 125 102 103 92 41 51 38 16 19 19 28 13 49 29 38 25 13 48 13 19 49 43- - 9% 8% 8% 7% 6% 8% 9% 4% 6% 9% 8% 6% 7% 7% 8% 6% 5% 11% 5% 6% 6% 9%

j sUv

Never again

- - 1410 1326 1227 1300 689 611 438 359 301 201 364 203 703 428 478 394 245 450 268 338 792 508- - 100% 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 71 56 49 47 26 6 38 24 62 47 41 39 23 39 23 43 70 57- - 9% 8% 7% 7% 8% 7% 9% 11% 6% 2% 9% 8% 7% 9% 7% 7% 8% 6% 6% 11% 7% 8%

e L KL L T

Immediately

- - 256 224 203 215 120 95 75 76 36 29 61 28 119 74 67 74 38 88 41 48 131 84- - 15% 13% 12% 13% 14% 11% 14% 18% 8% 9% 14% 10% 13% 13% 11% 14% 13% 14% 12% 12% 13% 12%

Kl KL

1-30 days

- - 398 376 365 362 179 183 126 90 88 59 78 56 218 139 123 100 74 116 86 86 224 137- - 23% 22% 22% 21% 21% 21% 24% 21% 20% 18% 18% 19% 24% 25% 20% 19% 25% 18% 24% 21% 22% 20%

M qr t t

2-3 months

- - 386 390 375 355 194 162 93 83 98 80 75 60 217 103 140 112 70 146 66 74 225 130- - 22% 23% 23% 21% 23% 19% 18% 20% 23% 24% 17% 21% 23% 19% 23% 21% 23% 23% 18% 18% 22% 19%

i M

4-6 months

- - 185 221 211 222 117 105 74 43 62 43 51 43 124 71 90 61 33 82 47 59 129 92- - 11% 13% 13% 13% 14% 12% 14% 10% 14% 13% 12% 15% 13% 13% 14% 11% 11% 13% 13% 15% 13% 13%

c

7-11 months

- - 297 318 317 355 139 217 74 73 115 94 115 65 164 97 136 122 50 145 78 82 190 166- - 17% 18% 19% 21% 16% 26% 14% 17% 27% 29% 26% 22% 18% 18% 22% 23% 17% 23% 22% 20% 19% 24%

C G IJ IJ O p s W

A year or longer

- - 57 59 64 66 34 32 32 7 10 17 25 15 23 21 24 21 13 22 17 14 41 25- - 3% 3% 4% 4% 4% 4% 6% 2% 2% 5% 6% 5% 2% 4% 4% 4% 4% 3% 5% 3% 4% 4%

JK J O o

Never again

- - 1731 1725 1644 1702 853 849 523 419 434 327 443 291 927 552 622 529 301 637 358 407 1010 692- - 100% 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






- - 438 432 368 378 208 170 127 113 100 38 95 74 199 142 114 122 62 143 81 92 221 156- - 33% 32% 30% 30% 31% 30% 27% 30% 34% 39% 30% 38% 28% 35% 25% 32% 26% 32% 31% 31% 30% 31%

i i O Q q

Immediately

- - 393 411 363 320 185 135 121 109 72 18 74 50 188 105 124 92 74 117 67 61 193 126- - 30% 31% 29% 26% 28% 24% 25% 29% 25% 19% 24% 26% 27% 26% 27% 24% 31% 26% 26% 21% 26% 25%

f F V

1-30 days

- - 209 188 221 224 109 115 94 63 53 14 48 25 147 73 86 66 56 63 55 50 126 99- - 16% 14% 18% 18% 16% 20% 20% 17% 18% 15% 16% 13% 21% 18% 19% 17% 24% 14% 21% 17% 17% 20%

D D mN T t

2-3 months

- - 105 138 136 145 73 73 58 52 29 6 45 16 83 37 67 40 24 59 26 37 98 47- - 8% 10% 11% 12% 11% 13% 12% 14% 10% 6% 14% 8% 12% 9% 15% 11% 10% 13% 10% 12% 13% 9%

C C n P x

4-6 months

- - 48 81 63 78 48 29 47 16 13 2 22 11 45 25 29 24 9 30 15 24 44 34- - 4% 6% 5% 6% 7% 5% 10% 4% 4% 2% 7% 6% 6% 6% 6% 6% 4% 7% 6% 8% 6% 7%

C C JKl s

7-11 months

- - 78 54 55 64 29 35 22 18 14 10 19 14 29 16 29 19 12 24 11 17 44 20- - 6% 4% 4% 5% 4% 6% 5% 5% 5% 10% 6% 7% 4% 4% 6% 5% 5% 5% 4% 6% 6% 4%

d i

A year or longer

- - 44 38 40 32 16 15 11 4 9 8 8 4 18 7 6 18 3 9 8 12 12 20- - 3% 3% 3% 3% 2% 3% 2% 1% 3% 8% 3% 2% 3% 2% 1% 5% 1% 2% 3% 4% 2% 4%

IJ pQ s W

Never again

- - 1315 1342 1247 1241 669 572 480 374 290 96 311 194 708 405 454 382 239 445 262 294 738 503- - 100% 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 67 39 49 31 21 5 30 20 53 44 33 29 22 36 20 29 60 46- - 10% 8% 8% 8% 9% 6% 10% 8% 6% 2% 8% 9% 7% 9% 6% 7% 8% 7% 7% 9% 7% 8%

h L L

Immediately

- - 248 221 195 192 116 76 80 66 31 15 49 28 112 59 78 55 40 67 36 49 129 63- - 16% 15% 14% 14% 15% 12% 17% 18% 9% 7% 14% 13% 14% 13% 15% 13% 15% 13% 12% 15% 15% 11%

KL KL x

1-30 days

- - 353 318 269 283 165 119 114 74 62 33 68 38 171 111 100 73 67 99 68 51 172 112- - 23% 21% 19% 20% 22% 18% 24% 20% 18% 16% 19% 17% 21% 24% 19% 18% 25% 19% 23% 15% 20% 20%

E l V v

2-3 months

- - 286 321 282 294 167 127 96 64 81 53 58 52 182 87 107 101 49 102 66 77 181 113- - 19% 22% 20% 21% 22% 19% 20% 17% 24% 25% 16% 23% 23% 19% 20% 25% 18% 20% 22% 23% 22% 20%

j m M p

4-6 months

- - 162 184 163 193 84 109 74 44 50 26 41 22 125 49 81 63 39 61 37 57 115 79- - 11% 12% 12% 14% 11% 17% 15% 12% 15% 12% 12% 10% 16% 10% 15% 16% 15% 12% 12% 17% 14% 14%

C G n p p

7-11 months

- - 234 254 269 270 127 143 49 80 78 63 74 49 136 87 111 72 39 120 53 58 148 122- - 15% 17% 19% 19% 17% 22% 10% 21% 23% 29% 21% 22% 17% 19% 21% 18% 15% 23% 18% 17% 18% 21%

C C g I I I S

A year or longer

- - 91 76 92 70 26 43 19 15 17 19 35 15 18 30 24 16 9 29 19 13 35 35- - 6% 5% 7% 5% 3% 7% 4% 4% 5% 9% 10% 7% 2% 6% 4% 4% 3% 6% 6% 4% 4% 6%

G ij O O

Never again

- - 1519 1490 1386 1408 753 656 480 376 339 213 355 223 798 467 533 408 265 513 299 332 839 570- - 100% 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 85 65 65 41 36 8 44 20 78 56 45 49 28 48 27 47 90 60- - 9% 7% 8% 9% 10% 8% 12% 10% 9% 3% 10% 7% 9% 11% 7% 10% 9% 8% 8% 12% 9% 9%

d L L L

Immediately

- - 351 305 322 259 150 109 111 77 48 23 75 49 132 93 90 75 57 107 46 50 154 104- - 21% 18% 20% 16% 18% 13% 20% 18% 11% 9% 17% 18% 15% 18% 15% 15% 19% 17% 13% 12% 16% 15%

F f F H KL KL v

1-30 days

- - 420 446 400 412 207 205 148 111 109 43 97 64 238 129 158 125 86 147 96 83 239 173- - 25% 27% 25% 25% 25% 25% 27% 26% 26% 16% 21% 23% 27% 25% 25% 24% 29% 24% 28% 21% 25% 25%

L L L m v v

2-3 months

- - 319 343 310 319 141 178 88 91 76 64 87 55 168 90 125 104 54 124 64 77 183 136- - 19% 21% 19% 19% 17% 21% 16% 21% 18% 24% 19% 20% 19% 17% 20% 20% 18% 20% 18% 19% 19% 19%

g i i

4-6 months

- - 170 170 160 206 113 93 73 37 53 42 49 36 115 63 80 63 30 64 48 64 119 87- - 10% 10% 10% 12% 14% 11% 14% 9% 13% 15% 11% 13% 13% 12% 13% 12% 10% 11% 14% 16% 13% 12%

ce j J sT

7-11 months

- - 213 216 221 242 101 141 41 55 79 67 70 37 125 74 101 67 37 95 51 59 134 108- - 13% 13% 14% 15% 12% 17% 7% 13% 19% 25% 15% 13% 14% 14% 16% 13% 12% 15% 15% 15% 14% 15%

G I Ij IJ

A year or longer

- - 75 55 76 70 33 38 16 14 17 23 32 15 23 19 20 31 9 27 16 19 36 34- - 4% 3% 5% 4% 4% 5% 3% 3% 4% 9% 7% 6% 3% 4% 3% 6% 3% 4% 5% 5% 4% 5%

IJk O O q

Never again

- - 1697 1650 1612 1659 830 828 543 427 417 271 454 275 880 525 619 515 301 612 347 398 954 704- - 100% 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 74 64 64 45 20 10 41 25 69 62 42 35 23 53 22 41 75 63- - 8% 7% 7% 8% 9% 8% 12% 11% 5% 3% 9% 9% 8% 11% 7% 7% 8% 9% 6% 10% 8% 9%

KL KL QR

Immediately

- - 336 297 298 266 146 119 113 90 39 23 83 46 127 85 88 93 50 89 57 70 144 122- - 19% 18% 18% 16% 17% 14% 21% 21% 9% 7% 19% 16% 14% 15% 14% 18% 16% 15% 15% 17% 15% 18%

F KL KL o

1-30 days

- - 437 410 420 356 159 197 114 88 92 62 84 52 215 110 133 113 74 117 93 72 232 124- - 25% 24% 26% 21% 19% 24% 22% 21% 22% 20% 19% 18% 24% 20% 21% 22% 25% 19% 25% 18% 24% 18%

F F g mn v tV X

2-3 months

- - 351 345 326 390 218 171 109 91 118 71 78 62 235 121 159 110 71 152 73 94 236 154- - 20% 20% 20% 23% 26% 21% 21% 22% 28% 23% 18% 22% 26% 22% 26% 22% 23% 25% 20% 23% 24% 22%

e H Ij M

4-6 months

- - 180 203 190 200 108 92 61 40 54 46 57 36 103 68 71 61 27 76 49 48 117 83- - 10% 12% 12% 12% 13% 11% 12% 9% 13% 15% 13% 12% 12% 12% 11% 12% 9% 13% 13% 12% 12% 12%

j

7-11 months

- - 206 240 221 259 104 155 52 60 81 66 81 43 123 60 115 84 43 87 56 72 144 115- - 12% 14% 13% 15% 12% 19% 10% 14% 19% 21% 18% 15% 14% 11% 19% 16% 14% 14% 15% 18% 15% 17%

C G i I Ij o P P

A year or longer

- - 73 76 73 69 33 36 15 10 12 32 21 23 24 41 13 15 13 30 18 7 36 33- - 4% 5% 4% 4% 4% 4% 3% 2% 3% 10% 5% 8% 3% 8% 2% 3% 4% 5% 5% 2% 4% 5%

IJK o O QR V v

Never again

- - 1729 1689 1647 1678 843 835 529 424 416 309 446 287 894 547 621 510 302 605 368 403 983 695- - 100% 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 89 53 60 44 28 9 58 18 64 47 56 38 36 35 27 43 88 53- - 13% 11% 10% 11% 13% 8% 12% 12% 10% 5% 15% 10% 9% 12% 11% 9% 14% 8% 10% 13% 12% 10%

e H L L O T t

Immediately

- - 253 285 224 214 131 83 81 69 40 23 61 32 111 72 75 67 58 72 39 44 112 102- - 19% 21% 19% 16% 19% 13% 17% 19% 15% 13% 16% 17% 16% 18% 15% 16% 23% 16% 15% 13% 15% 18%

F H tuV

1-30 days

- - 302 248 250 257 131 126 115 66 51 25 57 35 158 75 93 88 53 79 60 64 140 117- - 22% 19% 21% 20% 19% 20% 24% 18% 19% 13% 15% 19% 22% 19% 19% 21% 21% 17% 23% 20% 19% 21%

d L M

2-3 months

- - 219 213 181 229 124 105 85 51 55 38 65 28 133 50 94 84 41 80 49 60 136 94- - 16% 16% 15% 17% 18% 17% 17% 14% 20% 21% 17% 15% 19% 13% 19% 20% 16% 17% 18% 18% 18% 17%

p P

4-6 months

- - 101 141 107 136 78 58 52 46 16 23 31 24 79 40 66 31 25 43 26 42 94 43- - 7% 11% 9% 10% 11% 9% 11% 13% 6% 12% 8% 13% 11% 10% 13% 7% 10% 9% 10% 13% 12% 8%

C C K k R X

7-11 months

- - 189 189 184 187 84 103 46 50 54 37 54 21 102 61 74 52 30 91 35 31 107 80- - 14% 14% 15% 14% 12% 17% 9% 14% 20% 20% 14% 11% 14% 15% 15% 13% 12% 20% 13% 10% 14% 14%

g I I SuV

A year or longer

- - 121 112 124 146 50 96 48 38 29 31 48 25 66 48 46 52 15 60 29 42 77 69- - 9% 8% 10% 11% 7% 15% 10% 10% 10% 17% 13% 14% 9% 12% 9% 13% 6% 13% 11% 13% 10% 12%

d G i S s S

Never again

- - 1362 1327 1190 1310 685 624 485 366 273 187 374 182 713 394 504 412 258 461 265 325 753 557- - 100% 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 98 78 63 50 40 23 64 28 82 68 51 58 26 69 35 46 110 66- - 11% 10% 10% 9% 11% 8% 11% 11% 8% 6% 12% 9% 9% 11% 8% 10% 8% 10% 9% 10% 10% 8%

L L q

Immediately

- - 393 322 305 231 129 102 100 69 39 24 64 47 112 91 74 66 44 90 42 55 121 110- - 21% 17% 17% 12% 14% 11% 18% 16% 8% 6% 12% 15% 12% 15% 11% 12% 13% 13% 11% 12% 11% 14%

DEF F F h KL KL

1-30 days

- - 424 401 377 308 156 152 90 84 88 45 85 56 161 109 106 93 73 100 70 64 201 106- - 22% 21% 21% 17% 17% 16% 16% 19% 19% 12% 16% 17% 17% 18% 16% 16% 22% 14% 18% 15% 19% 14%

F F F L L TV X

2-3 months

- - 302 307 289 351 190 161 124 55 98 74 85 46 197 111 134 106 48 140 63 100 190 161- - 16% 16% 16% 19% 21% 17% 23% 12% 20% 19% 16% 14% 21% 18% 20% 19% 15% 20% 16% 23% 18% 21%

ce h J J J MN s Su

4-6 months

- - 162 171 142 158 94 63 69 34 32 22 49 26 81 38 65 55 31 55 33 38 83 75- - 9% 9% 8% 8% 10% 7% 13% 8% 7% 6% 9% 8% 9% 6% 10% 10% 9% 8% 9% 9% 8% 10%

H JKL p p

7-11 months

- - 213 239 286 284 109 175 48 80 81 76 83 42 150 81 107 96 46 123 68 47 172 112- - 11% 13% 16% 15% 12% 18% 9% 18% 17% 19% 15% 13% 16% 13% 16% 17% 14% 18% 18% 11% 16% 14%

CD Cd G I I I V V

A year or longer

- - 195 239 245 351 133 217 56 71 99 125 109 76 160 117 135 99 60 121 77 92 199 151- - 10% 13% 13% 19% 15% 23% 10% 16% 21% 32% 20% 24% 17% 19% 20% 17% 18% 17% 20% 21% 19% 19%

c C CDE G I I IJK O

Never again

- - 1888 1869 1820 1858 910 948 550 442 477 389 539 320 943 613 671 574 327 699 389 442 1076 782- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 226Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Summary Of More Positive






- - 1095 1253 - 1302 639 662 347 311 334 309 367 215 683 441 474 387 238 495 260 309 763 539- - 54% 62% - 65% 66% 63% 58% 65% 65% 74% 59% 64% 70% 67% 67% 60% 67% 65% 62% 65% 66% 63%

C C I i IJK M R r

Healthcare(Doctors/Nurses/Hospital)

- - 828 966 - 1073 523 550 285 260 274 253 291 186 564 370 400 303 198 424 210 241 641 432- - 41% 48% - 53% 54% 53% 47% 55% 53% 60% 46% 55% 57% 56% 56% 47% 56% 56% 50% 50% 56% 50%

C CD i I M M R R x

Retail - grocery

- - 752 826 - 904 451 452 285 212 221 186 253 145 480 307 350 246 165 359 179 201 523 380- - 37% 41% - 45% 47% 43% 47% 45% 43% 44% 40% 43% 49% 47% 49% 38% 47% 47% 42% 42% 45% 44%

c Cd M R R

Small Businesses

- - 632 753 - 862 436 426 291 212 192 167 226 130 477 282 336 244 176 327 158 201 489 374- - 31% 37% - 43% 45% 41% 48% 45% 37% 40% 36% 38% 49% 43% 47% 38% 50% 43% 38% 42% 42% 43%

C CD KL k MN R tUv

Food & Beverage

- - 612 757 - 819 410 409 244 194 206 174 222 138 433 283 304 232 147 318 153 201 495 324- - 30% 38% - 41% 42% 39% 41% 41% 40% 42% 35% 41% 44% 43% 43% 36% 42% 42% 36% 42% 43% 38%

C C M R R x

Restaurants

- - 618 739 - 819 423 396 276 207 175 161 230 105 462 271 321 227 169 300 148 202 470 349- - 31% 37% - 41% 44% 38% 46% 44% 34% 38% 37% 31% 47% 41% 45% 35% 48% 39% 35% 42% 41% 41%

C CD H Kl K MN r R TU

Technology

- - 671 779 - 797 416 381 249 186 172 190 223 122 427 275 299 224 161 310 139 187 463 334- - 33% 39% - 40% 43% 36% 41% 39% 33% 45% 36% 36% 44% 42% 42% 35% 46% 41% 33% 39% 40% 39%

C C H K K Mn R R U U

Pharmaceutical/drugs

- - 597 674 - 764 367 397 255 200 171 138 220 122 399 233 307 224 136 296 141 190 457 307- - 29% 33% - 38% 38% 38% 42% 42% 33% 33% 35% 36% 41% 35% 43% 35% 39% 39% 33% 40% 40% 36%

C CD KL KL m PR

Non-profits

- - 545 645 - 739 390 349 235 178 180 145 187 119 419 270 265 204 148 282 142 168 447 292- - 27% 32% - 37% 40% 33% 39% 37% 35% 34% 30% 35% 43% 41% 37% 32% 42% 37% 34% 35% 39% 34%

C CD H Mn R r u x

Manufacturing

- - 551 595 - 666 338 328 226 166 152 123 194 121 334 215 266 185 121 242 138 165 394 272- - 27% 30% - 33% 35% 31% 38% 35% 30% 29% 31% 36% 34% 33% 37% 29% 34% 32% 33% 34% 34% 32%

Cd KL R

Retail

- - 407 502 - 638 321 316 242 174 130 92 176 92 344 203 272 162 120 248 114 155 371 267- - 20% 25% - 32% 33% 30% 40% 36% 25% 22% 28% 27% 35% 31% 38% 25% 34% 33% 27% 32% 32% 31%

C CD KL KL MN r PR u

Entertainment

- - 450 524 - 581 327 254 208 149 123 101 151 73 334 154 293 135 113 235 101 133 346 235- - 22% 26% - 29% 34% 24% 35% 31% 24% 24% 24% 22% 34% 23% 41% 21% 32% 31% 24% 28% 30% 27%

C C H KL Kl MN PR U U

Media

- - 410 479 - 569 315 254 216 147 117 89 140 96 319 201 221 147 104 221 107 136 352 217- - 20% 24% - 28% 33% 24% 36% 31% 23% 21% 22% 29% 33% 31% 31% 23% 30% 29% 25% 28% 31% 25%

C CD H KL KL m M R R X

Financial services

- - 388 458 - 534 299 235 181 131 112 110 149 79 291 194 204 136 95 202 109 129 335 199- - 19% 23% - 27% 31% 22% 30% 27% 22% 26% 24% 23% 30% 30% 29% 21% 27% 26% 26% 27% 29% 23%

C CD H K k Mn R R X

Automotive

- - 385 421 - 492 274 217 197 134 89 71 122 69 285 154 207 130 100 177 101 114 306 186- - 19% 21% - 24% 28% 21% 33% 28% 17% 17% 19% 21% 29% 23% 29% 20% 28% 23% 24% 24% 27% 22%

CD H KL KL MN pR X

Travel and hospitality(hotels, cruise lines)




Summary Of More Positive





-** -** 2023 2016 -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base- - 424 422 - 475 271 203 179 126 100 71 146 68 252 176 172 126 90 189 95 101 295 180- - 21% 21% - 24% 28% 19% 30% 26% 19% 17% 23% 20% 26% 27% 24% 20% 26% 25% 23% 21% 26% 21%

H KL KL n R x

Oil

- - 361 362 - 405 230 176 167 107 69 63 93 66 237 141 164 100 77 161 69 99 244 162- - 18% 18% - 20% 24% 17% 28% 22% 13% 15% 15% 20% 24% 21% 23% 16% 22% 21% 16% 21% 21% 19%

H jKL KL m M R R

Airlines

- - 268 318 - 335 193 141 144 91 59 41 81 51 198 109 152 74 64 134 56 81 211 124- - 13% 16% - 17% 20% 14% 24% 19% 11% 10% 13% 15% 20% 17% 21% 11% 18% 18% 13% 17% 18% 14%

c C H KL KL Mn R pR x

Real estate




Summary Of More Negative






- - 668 591 - 546 255 291 172 117 140 117 160 97 273 251 108 186 87 193 128 138 309 237- - 33% 29% - 27% 26% 28% 29% 25% 27% 28% 26% 29% 28% 38% 15% 29% 25% 25% 30% 29% 27% 28%

DF QR Q

Media

- - 583 511 - 513 229 283 145 122 109 136 154 80 263 171 166 175 76 192 108 136 293 220- - 29% 25% - 25% 24% 27% 24% 26% 21% 32% 25% 24% 27% 26% 23% 27% 22% 25% 26% 28% 25% 26%

df IjK s


- - 577 544 - 498 259 239 168 121 101 108 141 76 256 146 178 174 84 190 104 119 279 218- - 29% 27% - 25% 27% 23% 28% 25% 20% 26% 22% 22% 26% 22% 25% 27% 24% 25% 25% 25% 24% 25%

F K k k

Airlines

- - 383 336 - 350 161 189 153 87 58 52 121 40 175 103 121 126 62 135 58 95 197 153- - 19% 17% - 17% 17% 18% 25% 18% 11% 12% 19% 12% 18% 16% 17% 20% 17% 18% 14% 20% 17% 18%

JKL Kl N N u

Financial services

- - 292 268 - 286 153 134 128 68 49 42 94 42 136 86 105 96 48 103 56 80 158 128- - 14% 13% - 14% 16% 13% 21% 14% 9% 10% 15% 13% 14% 13% 15% 15% 14% 14% 13% 17% 14% 15%

JKL k

Real estate

- - 269 232 - 280 150 130 111 73 63 34 79 33 154 71 119 91 48 102 62 68 158 122- - 13% 12% - 14% 15% 12% 18% 15% 12% 8% 13% 10% 16% 11% 17% 14% 13% 13% 15% 14% 14% 14%

d KL L N P

Oil

- - 308 266 - 268 140 128 105 75 50 38 81 30 143 81 102 85 50 98 54 66 164 104- - 15% 13% - 13% 14% 12% 18% 16% 10% 9% 13% 9% 15% 12% 14% 13% 14% 13% 13% 14% 14% 12%

KL KL n N

Manufacturing

- - 403 334 - 265 152 114 90 58 65 52 84 38 138 106 71 88 45 103 57 60 172 94- - 20% 17% - 13% 16% 11% 15% 12% 13% 12% 13% 11% 14% 16% 10% 14% 13% 14% 14% 12% 15% 11%

DF F H Q q X

Entertainment

- - 398 305 - 260 145 115 105 76 47 33 78 33 142 83 103 74 47 106 46 62 160 100- - 20% 15% - 13% 15% 11% 17% 16% 9% 8% 13% 10% 14% 13% 15% 11% 13% 14% 11% 13% 14% 12%

DF H KL KL n

Restaurants

- - 310 269 - 253 130 124 103 67 45 38 82 40 123 75 81 97 44 94 45 71 157 97- - 15% 13% - 13% 13% 12% 17% 14% 9% 9% 13% 12% 13% 11% 11% 15% 12% 12% 11% 15% 14% 11%

F KL Kl


- - 338 292 - 252 139 113 105 68 54 25 84 29 127 86 85 81 55 98 45 54 157 95- - 17% 14% - 13% 14% 11% 17% 14% 11% 6% 13% 9% 13% 13% 12% 13% 16% 13% 11% 11% 14% 11%

F h KL L l N n u

Retail

- - 287 244 - 248 146 103 88 75 53 33 68 36 132 80 95 73 43 101 44 60 146 102- - 14% 12% - 12% 15% 10% 15% 16% 10% 8% 11% 11% 13% 12% 13% 11% 12% 13% 10% 13% 13% 12%

H kL KL

Small Businesses

- - 355 255 - 218 100 118 109 57 30 22 81 30 99 68 72 79 34 77 46 61 116 102- - 18% 13% - 11% 10% 11% 18% 12% 6% 5% 13% 9% 10% 10% 10% 12% 10% 10% 11% 13% 10% 12%

DF JKL KL

Retail - grocery

- - 255 252 - 209 113 95 88 54 49 17 66 23 111 76 76 57 44 75 43 47 135 74- - 13% 13% - 10% 12% 9% 15% 11% 10% 4% 11% 7% 11% 11% 11% 9% 12% 10% 10% 10% 12% 9%

f f KL L L n n x

Automotive

- - 248 207 - 192 122 70 75 56 36 25 55 32 98 70 68 55 33 85 32 43 115 77- - 12% 10% - 10% 13% 7% 12% 12% 7% 6% 9% 9% 10% 11% 10% 8% 9% 11% 7% 9% 10% 9%

F H KL KL

Non-profits




Summary Of More Negative





-** -** 2023 2016 -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base- - 306 251 - 180 86 93 63 62 35 21 63 17 94 58 62 60 27 66 42 44 120 60- - 15% 12% - 9% 9% 9% 10% 13% 7% 5% 10% 5% 10% 9% 9% 9% 8% 9% 10% 9% 10% 7%

dF F kL KL N N X

Food & Beverage

- - 219 178 - 175 107 69 89 45 28 13 61 21 83 47 66 62 36 56 34 49 113 62- - 11% 9% - 9% 11% 7% 15% 9% 5% 3% 10% 6% 8% 7% 9% 10% 10% 7% 8% 10% 10% 7%

df H JKL kL

Technology

- - 217 169 - 155 81 74 81 36 26 11 46 28 75 52 52 51 27 56 30 42 92 62- - 11% 8% - 8% 8% 7% 14% 8% 5% 3% 7% 8% 8% 8% 7% 8% 8% 7% 7% 9% 8% 7%

DF JKL L




14 Apr 2020Table 228Q38_1 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Financial services






- - 794 815 - 919 476 443 369 234 175 141 261 136 494 304 342 273 166 357 165 232 549 369- - 39% 40% - 46% 49% 42% 61% 49% 34% 34% 42% 40% 50% 46% 48% 42% 47% 47% 39% 48% 48% 43%

CD H JKL KL MN u U U

More Positive/Negative(Net)

- - 410 479 - 569 315 254 216 147 117 89 140 96 319 201 221 147 104 221 107 136 352 217- - 20% 24% - 28% 33% 24% 36% 31% 23% 21% 22% 29% 33% 31% 31% 23% 30% 29% 25% 28% 31% 25%

C CD H KL KL m M R R X

More positive

- - 383 336 - 350 161 189 153 87 58 52 121 40 175 103 121 126 62 135 58 95 197 153- - 19% 17% - 17% 17% 18% 25% 18% 11% 12% 19% 12% 18% 16% 17% 20% 17% 18% 14% 20% 17% 18%

JKL Kl N N u

More negative

- - 1229 1201 - 1094 491 603 233 242 341 279 365 201 488 354 369 371 186 404 256 247 604 490- - 61% 60% - 54% 51% 58% 39% 51% 66% 66% 58% 60% 50% 54% 52% 58% 53% 53% 61% 52% 52% 57%

F F G I IJ IJ O O sTV

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail






- - 890 887 - 918 477 441 331 233 206 148 278 149 461 300 351 267 177 340 183 219 551 367- - 44% 44% - 46% 49% 42% 55% 49% 40% 35% 44% 44% 47% 46% 49% 41% 50% 45% 43% 46% 48% 43%

H KL KL R x


- - 551 595 - 666 338 328 226 166 152 123 194 121 334 215 266 185 121 242 138 165 394 272- - 27% 30% - 33% 35% 31% 38% 35% 30% 29% 31% 36% 34% 33% 37% 29% 34% 32% 33% 34% 34% 32%

Cd KL R

More positive

- - 338 292 - 252 139 113 105 68 54 25 84 29 127 86 85 81 55 98 45 54 157 95- - 17% 14% - 13% 14% 11% 17% 14% 11% 6% 13% 9% 13% 13% 12% 13% 16% 13% 11% 11% 14% 11%

F h KL L l N n u

More negative

- - 1133 1129 - 1095 490 605 270 243 309 273 348 188 521 358 360 377 176 421 238 260 603 492- - 56% 56% - 54% 51% 58% 45% 51% 60% 65% 56% 56% 53% 54% 51% 59% 50% 55% 57% 54% 52% 57%

G IJ IJ Q w

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Technology






- - 837 917 - 994 530 464 365 252 203 174 291 127 545 319 387 289 205 356 182 251 583 411- - 41% 45% - 49% 55% 44% 61% 53% 39% 41% 46% 38% 56% 48% 54% 45% 58% 47% 43% 52% 51% 48%

C Cd H JKL KL N MN pR TU U


- - 618 739 - 819 423 396 276 207 175 161 230 105 462 271 321 227 169 300 148 202 470 349- - 31% 37% - 41% 44% 38% 46% 44% 34% 38% 37% 31% 47% 41% 45% 35% 48% 39% 35% 42% 41% 41%

C CD H Kl K MN r R TU

More positive

- - 219 178 - 175 107 69 89 45 28 13 61 21 83 47 66 62 36 56 34 49 113 62- - 11% 9% - 9% 11% 7% 15% 9% 5% 3% 10% 6% 8% 7% 9% 10% 10% 7% 8% 10% 10% 7%

df H JKL kL

More negative

- - 1186 1099 - 1019 437 582 236 224 313 246 336 211 437 340 325 355 148 405 239 228 571 448- - 59% 55% - 51% 45% 56% 39% 47% 61% 59% 54% 62% 44% 52% 46% 55% 42% 53% 57% 48% 49% 52%

DF f G I IJ IJ O MO q Q S SV

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 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 583 545 380 266 263 218 311 171 607 405 401 321 200 428 229 270 655 472- - 55% 55% - 56% 60% 52% 63% 56% 51% 52% 50% 51% 62% 62% 56% 50% 57% 56% 54% 56% 57% 55%

H JKL MN R r


- - 450 524 - 581 327 254 208 149 123 101 151 73 334 154 293 135 113 235 101 133 346 235- - 22% 26% - 29% 34% 24% 35% 31% 24% 24% 24% 22% 34% 23% 41% 21% 32% 31% 24% 28% 30% 27%

C C H KL Kl MN PR U U

More positive

- - 668 591 - 546 255 291 172 117 140 117 160 97 273 251 108 186 87 193 128 138 309 237- - 33% 29% - 27% 26% 28% 29% 25% 27% 28% 26% 29% 28% 38% 15% 29% 25% 25% 30% 29% 27% 28%

DF QR Q

More negative

- - 905 900 - 886 384 501 221 210 253 202 315 167 375 253 310 322 152 333 193 209 499 387- - 45% 45% - 44% 40% 48% 37% 44% 49% 48% 50% 49% 38% 38% 44% 50% 43% 44% 46% 44% 43% 45%

G I I I O O Pq

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Automotive






- - 643 711 - 743 412 331 269 185 161 127 216 102 402 270 279 194 139 276 152 175 470 273- - 32% 35% - 37% 43% 32% 45% 39% 31% 30% 34% 30% 41% 41% 39% 30% 40% 36% 36% 37% 41% 32%

c C H KL KL MN R R X


- - 388 458 - 534 299 235 181 131 112 110 149 79 291 194 204 136 95 202 109 129 335 199- - 19% 23% - 27% 31% 22% 30% 27% 22% 26% 24% 23% 30% 30% 29% 21% 27% 26% 26% 27% 29% 23%

C CD H K k Mn R R X

More positive

- - 255 252 - 209 113 95 88 54 49 17 66 23 111 76 76 57 44 75 43 47 135 74- - 13% 13% - 10% 12% 9% 15% 11% 10% 4% 11% 7% 11% 11% 11% 9% 12% 10% 10% 10% 12% 9%

f f KL L L n n x

More negative

- - 1380 1305 - 1270 554 715 332 291 354 293 411 235 580 388 432 450 213 484 269 304 683 587- - 68% 65% - 63% 57% 68% 55% 61% 69% 70% 66% 70% 59% 59% 61% 70% 60% 64% 64% 63% 59% 68%

dF G IJ IJ O O PQ W

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 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 720 736 429 347 360 320 413 243 758 493 526 438 264 551 290 351 855 601- - 65% 71% - 72% 74% 70% 71% 73% 70% 76% 66% 72% 77% 75% 74% 68% 75% 72% 69% 73% 74% 70%

C C m M R r


- - 1095 1253 - 1302 639 662 347 311 334 309 367 215 683 441 474 387 238 495 260 309 763 539- - 54% 62% - 65% 66% 63% 58% 65% 65% 74% 59% 64% 70% 67% 67% 60% 67% 65% 62% 65% 66% 63%

C C I i IJK M R r

More positive

- - 217 169 - 155 81 74 81 36 26 11 46 28 75 52 52 51 27 56 30 42 92 62- - 11% 8% - 8% 8% 7% 14% 8% 5% 3% 7% 8% 8% 8% 7% 8% 8% 7% 7% 9% 8% 7%

DF JKL L

More negative

- - 711 594 - 557 247 310 172 129 155 100 213 94 224 166 185 206 88 210 131 128 299 258- - 35% 29% - 28% 26% 30% 29% 27% 30% 24% 34% 28% 23% 25% 26% 32% 25% 28% 31% 27% 26% 30%

DF nO Pq

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 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 523 520 354 274 227 188 289 147 572 339 398 305 203 393 200 245 609 433- - 46% 50% - 52% 54% 50% 59% 57% 44% 45% 46% 44% 58% 52% 56% 47% 58% 52% 48% 51% 53% 50%

c C KL KL MN R U


- - 632 753 - 862 436 426 291 212 192 167 226 130 477 282 336 244 176 327 158 201 489 374- - 31% 37% - 43% 45% 41% 48% 45% 37% 40% 36% 38% 49% 43% 47% 38% 50% 43% 38% 42% 42% 43%

C CD KL k MN R tUv

More positive

- - 306 251 - 180 86 93 63 62 35 21 63 17 94 58 62 60 27 66 42 44 120 60- - 15% 12% - 9% 9% 9% 10% 13% 7% 5% 10% 5% 10% 9% 9% 9% 8% 9% 10% 9% 10% 7%

dF F kL KL N N X

More negative

- - 1085 1012 - 971 444 527 247 203 288 233 337 190 411 319 313 339 149 367 221 234 545 426- - 54% 50% - 48% 46% 50% 41% 43% 56% 55% 54% 56% 42% 48% 44% 53% 42% 48% 52% 49% 47% 50%

dF IJ IJ O O Q S

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Entertainment






- - 810 836 - 903 473 430 332 232 195 145 260 130 482 309 343 251 166 352 171 215 543 360- - 40% 41% - 45% 49% 41% 55% 49% 38% 34% 42% 39% 49% 47% 48% 39% 47% 46% 41% 45% 47% 42%

Cd H jKL KL MN R R x


- - 407 502 - 638 321 316 242 174 130 92 176 92 344 203 272 162 120 248 114 155 371 267- - 20% 25% - 32% 33% 30% 40% 36% 25% 22% 28% 27% 35% 31% 38% 25% 34% 33% 27% 32% 32% 31%

C CD KL KL MN r PR u

More positive

- - 403 334 - 265 152 114 90 58 65 52 84 38 138 106 71 88 45 103 57 60 172 94- - 20% 17% - 13% 16% 11% 15% 12% 13% 12% 13% 11% 14% 16% 10% 14% 13% 14% 14% 12% 15% 11%

DF F H Q q X

More negative

- - 1213 1180 - 1110 494 616 269 245 321 276 366 207 500 349 368 393 187 409 250 264 610 499- - 60% 59% - 55% 51% 59% 45% 51% 62% 66% 58% 61% 51% 53% 52% 61% 53% 54% 59% 55% 53% 58%

F f G i IJ IJ O O PQ w

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 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 504 501 342 256 199 208 276 149 548 326 373 305 176 370 209 250 598 406- - 48% 46% - 50% 52% 48% 57% 54% 39% 49% 44% 44% 56% 49% 53% 47% 50% 49% 50% 52% 52% 47%

d Kl K K MN


- - 385 421 - 492 274 217 197 134 89 71 122 69 285 154 207 130 100 177 101 114 306 186- - 19% 21% - 24% 28% 21% 33% 28% 17% 17% 19% 21% 29% 23% 29% 20% 28% 23% 24% 24% 27% 22%

CD H KL KL MN pR X

More positive

- - 583 511 - 513 229 283 145 122 109 136 154 80 263 171 166 175 76 192 108 136 293 220- - 29% 25% - 25% 24% 27% 24% 26% 21% 32% 25% 24% 27% 26% 23% 27% 22% 25% 26% 28% 25% 26%

df IjK s

More negative

- - 1055 1084 - 1008 463 545 260 220 317 212 351 188 434 333 338 338 177 391 212 229 555 453- - 52% 54% - 50% 48% 52% 43% 46% 61% 51% 56% 56% 44% 51% 47% 53% 50% 51% 50% 48% 48% 53%

f IJL i O O

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Airlines






- - 938 905 - 903 489 414 335 228 170 171 234 142 493 286 342 275 161 351 173 218 523 380- - 46% 45% - 45% 51% 40% 56% 48% 33% 41% 37% 42% 50% 44% 48% 43% 46% 46% 41% 45% 45% 44%

H JKL Kl k MN


- - 361 362 - 405 230 176 167 107 69 63 93 66 237 141 164 100 77 161 69 99 244 162- - 18% 18% - 20% 24% 17% 28% 22% 13% 15% 15% 20% 24% 21% 23% 16% 22% 21% 16% 21% 21% 19%

H jKL KL m M R R

More positive

- - 577 544 - 498 259 239 168 121 101 108 141 76 256 146 178 174 84 190 104 119 279 218- - 29% 27% - 25% 27% 23% 28% 25% 20% 26% 22% 22% 26% 22% 25% 27% 24% 25% 25% 25% 24% 25%

F K k k

More negative

- - 1085 1111 - 1110 478 632 266 248 346 249 392 196 489 372 369 369 191 410 248 261 631 479- - 54% 55% - 55% 49% 60% 44% 52% 67% 59% 63% 58% 50% 56% 52% 57% 54% 54% 59% 55% 55% 56%

G I IJl Ij O O

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 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 - 956 489 467 330 257 206 163 275 154 498 302 375 279 169 381 173 233 572 384- - 42% 44% - 47% 51% 45% 55% 54% 40% 39% 44% 46% 51% 46% 53% 43% 48% 50% 41% 49% 50% 45%

Cd H KL KL M PR U u x


- - 597 674 - 764 367 397 255 200 171 138 220 122 399 233 307 224 136 296 141 190 457 307- - 29% 33% - 38% 38% 38% 42% 42% 33% 33% 35% 36% 41% 35% 43% 35% 39% 39% 33% 40% 40% 36%

C CD KL KL m PR

More positive

- - 248 207 - 192 122 70 75 56 36 25 55 32 98 70 68 55 33 85 32 43 115 77- - 12% 10% - 10% 13% 7% 12% 12% 7% 6% 9% 9% 10% 11% 10% 8% 9% 11% 7% 9% 10% 9%

F H KL KL

More negative

- - 1178 1135 - 1057 478 579 271 219 309 257 352 183 485 356 336 365 183 379 249 246 582 475- - 58% 56% - 53% 49% 55% 45% 46% 60% 61% 56% 54% 49% 54% 47% 57% 52% 50% 59% 51% 50% 55%

F f G IJ IJ O Q Q Tv w

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 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 - 621 346 275 272 159 108 83 175 93 334 195 256 170 112 236 112 161 369 252- - 28% 29% - 31% 36% 26% 45% 33% 21% 20% 28% 28% 34% 30% 36% 26% 32% 31% 27% 34% 32% 29%

c H JKL KL Mn PR u


- - 268 318 - 335 193 141 144 91 59 41 81 51 198 109 152 74 64 134 56 81 211 124- - 13% 16% - 17% 20% 14% 24% 19% 11% 10% 13% 15% 20% 17% 21% 11% 18% 18% 13% 17% 18% 14%

c C H KL KL Mn R pR x

More positive

- - 292 268 - 286 153 134 128 68 49 42 94 42 136 86 105 96 48 103 56 80 158 128- - 14% 13% - 14% 16% 13% 21% 14% 9% 10% 15% 13% 14% 13% 15% 15% 14% 14% 13% 17% 14% 15%

JKL k

More negative

- - 1463 1430 - 1392 621 771 329 317 408 338 451 244 648 463 455 474 240 524 309 318 785 607- - 72% 71% - 69% 64% 74% 55% 67% 79% 80% 72% 72% 66% 70% 64% 74% 68% 69% 73% 66% 68% 71%

f G I IJ IJ O o Q Q v

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 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 624 668 394 318 304 275 372 216 664 437 472 382 232 501 257 302 758 534- - 59% 61% - 64% 64% 64% 66% 67% 59% 65% 59% 64% 68% 66% 66% 59% 66% 66% 61% 63% 66% 62%

Cd k K M R R


- - 828 966 - 1073 523 550 285 260 274 253 291 186 564 370 400 303 198 424 210 241 641 432- - 41% 48% - 53% 54% 53% 47% 55% 53% 60% 46% 55% 57% 56% 56% 47% 56% 56% 50% 50% 56% 50%

C CD i I M M R R x

More positive

- - 355 255 - 218 100 118 109 57 30 22 81 30 99 68 72 79 34 77 46 61 116 102- - 18% 13% - 11% 10% 11% 18% 12% 6% 5% 13% 9% 10% 10% 10% 12% 10% 10% 11% 13% 10% 12%

DF JKL KL

More negative

- - 839 796 - 722 343 378 207 158 212 145 255 121 318 221 239 261 120 260 164 177 396 326- - 41% 39% - 36% 36% 36% 34% 33% 41% 35% 41% 36% 32% 34% 34% 41% 34% 34% 39% 37% 34% 38%

F f iJ O PQ

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - 981 1049 - 1050 546 504 352 253 217 228 305 162 551 349 380 321 205 404 184 258 620 431- - 48% 52% - 52% 56% 48% 59% 53% 42% 54% 49% 48% 56% 53% 53% 50% 58% 53% 44% 54% 54% 50%

c c H K K K MN U U U


- - 671 779 - 797 416 381 249 186 172 190 223 122 427 275 299 224 161 310 139 187 463 334- - 33% 39% - 40% 43% 36% 41% 39% 33% 45% 36% 36% 44% 42% 42% 35% 46% 41% 33% 39% 40% 39%

C C H K K Mn R R U U

More positive

- - 310 269 - 253 130 124 103 67 45 38 82 40 123 75 81 97 44 94 45 71 157 97- - 15% 13% - 13% 13% 12% 17% 14% 9% 9% 13% 12% 13% 11% 11% 15% 12% 12% 11% 15% 14% 11%

F KL Kl

More negative

- - 1042 967 - 963 421 542 249 223 299 192 321 175 432 309 331 323 147 357 237 221 534 429- - 52% 48% - 48% 44% 52% 41% 47% 58% 46% 51% 52% 44% 47% 47% 50% 42% 47% 56% 46% 46% 50%

df G IJL O O STV

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Oil






- - 693 655 - 755 421 334 289 199 162 105 225 101 406 247 291 217 138 292 157 169 453 302- - 34% 32% - 38% 44% 32% 48% 42% 31% 25% 36% 30% 41% 38% 41% 34% 39% 38% 37% 35% 39% 35%

cD H jKL KL mN R


- - 424 422 - 475 271 203 179 126 100 71 146 68 252 176 172 126 90 189 95 101 295 180- - 21% 21% - 24% 28% 19% 30% 26% 19% 17% 23% 20% 26% 27% 24% 20% 26% 25% 23% 21% 26% 21%

H KL KL n R x

More positive

- - 269 232 - 280 150 130 111 73 63 34 79 33 154 71 119 91 48 102 62 68 158 122- - 13% 12% - 14% 15% 12% 18% 15% 12% 8% 13% 10% 16% 11% 17% 14% 13% 13% 15% 14% 14% 14%

d KL L N P

More negative

- - 1330 1361 - 1258 546 712 312 277 353 316 402 236 576 411 420 427 215 469 264 310 701 557- - 66% 68% - 62% 56% 68% 52% 58% 69% 75% 64% 70% 59% 62% 59% 66% 61% 62% 63% 65% 61% 65%

f F G i IJ IJ o O Q

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 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 555 524 349 270 253 207 300 171 575 366 407 306 194 424 199 263 655 425- - 50% 53% - 54% 57% 50% 58% 57% 49% 49% 48% 51% 59% 56% 57% 47% 55% 56% 47% 55% 57% 49%

c H KL kl MN R R u U u X


- - 612 757 - 819 410 409 244 194 206 174 222 138 433 283 304 232 147 318 153 201 495 324- - 30% 38% - 41% 42% 39% 41% 41% 40% 42% 35% 41% 44% 43% 43% 36% 42% 42% 36% 42% 43% 38%

C C M R R x

More positive

- - 398 305 - 260 145 115 105 76 47 33 78 33 142 83 103 74 47 106 46 62 160 100- - 20% 15% - 13% 15% 11% 17% 16% 9% 8% 13% 10% 14% 13% 15% 11% 13% 14% 11% 13% 14% 12%

DF H KL KL n

More negative

- - 1014 954 - 934 412 522 252 206 262 213 326 166 407 292 304 338 159 337 222 216 499 435- - 50% 47% - 46% 43% 50% 42% 43% 51% 51% 52% 49% 41% 44% 43% 53% 45% 44% 53% 45% 43% 51%

f G Ij Ij O O PQ sTv W

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 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 530 477 341 254 230 182 268 149 562 351 367 289 198 380 196 233 611 396- - 42% 45% - 50% 55% 46% 57% 53% 45% 43% 43% 44% 57% 53% 52% 45% 56% 50% 47% 49% 53% 46%

CD H KL KL MN R r Uv X


- - 545 645 - 739 390 349 235 178 180 145 187 119 419 270 265 204 148 282 142 168 447 292- - 27% 32% - 37% 40% 33% 39% 37% 35% 34% 30% 35% 43% 41% 37% 32% 42% 37% 34% 35% 39% 34%

C CD H Mn R r u x

More positive

- - 308 266 - 268 140 128 105 75 50 38 81 30 143 81 102 85 50 98 54 66 164 104- - 15% 13% - 13% 14% 12% 18% 16% 10% 9% 13% 9% 15% 12% 14% 13% 14% 13% 13% 14% 14% 12%

KL KL n N

More negative

- - 1170 1105 - 1006 437 569 260 222 286 238 358 188 420 307 344 354 154 381 225 246 543 463- - 58% 55% - 50% 45% 54% 43% 47% 55% 57% 57% 56% 43% 47% 48% 55% 44% 50% 53% 51% 47% 54%

F F G IJ IJ O O Pq S s W

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 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 597 555 373 287 274 219 320 181 612 387 445 320 209 459 222 262 670 483- - 51% 53% - 57% 62% 53% 62% 60% 53% 52% 51% 54% 62% 59% 63% 50% 59% 60% 53% 55% 58% 56%

CD H KL kl MN R R U


- - 752 826 - 904 451 452 285 212 221 186 253 145 480 307 350 246 165 359 179 201 523 380- - 37% 41% - 45% 47% 43% 47% 45% 43% 44% 40% 43% 49% 47% 49% 38% 47% 47% 42% 42% 45% 44%

c Cd M R R

More positive

- - 287 244 - 248 146 103 88 75 53 33 68 36 132 80 95 73 43 101 44 60 146 102- - 14% 12% - 12% 15% 10% 15% 16% 10% 8% 11% 11% 13% 12% 13% 11% 12% 13% 10% 13% 13% 12%

H kL KL

More negative

- - 985 946 - 861 370 491 228 190 242 201 306 157 370 271 266 324 144 301 199 217 484 377- - 49% 47% - 43% 38% 47% 38% 40% 47% 48% 49% 46% 38% 41% 37% 50% 41% 40% 47% 45% 42% 44%

F F G Ij Ij O O PQ T

Unchanged

- - 2023 2016 - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 246Q39 Which of the following industries should receive a bailout from the government? Please select all that apply.





- - 2023 - - 2013 895 1118 654 520 488 351 883 347 716 674 698 641 372 759 438 444 1099 914Unweighted Base-** -** 2023 -** -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base

- - 1275 - - 1260 569 691 281 268 358 353 392 256 581 429 466 366 204 499 269 288 718 542- - 63% - - 63% 59% 66% 47% 56% 69% 84% 63% 76% 59% 65% 65% 57% 58% 66% 64% 60% 62% 63%

G I IJ IJK MO R R S

Small Businesses

- - 1180 - - 1185 512 673 311 270 295 308 377 209 568 379 450 356 200 458 267 260 685 500- - 58% - - 59% 53% 64% 52% 57% 57% 73% 60% 62% 58% 58% 63% 55% 57% 60% 63% 54% 59% 58%

G IJK pR V


- - 1069 - - 973 450 523 206 211 280 276 308 197 441 329 373 271 169 381 202 221 539 434- - 53% - - 48% 47% 50% 34% 44% 54% 66% 49% 58% 45% 50% 52% 42% 48% 50% 48% 46% 47% 50%

F I IJ IJK MO R R

Restaurants

- - 921 - - 835 386 450 232 214 210 179 270 156 391 256 350 230 149 342 157 187 484 352- - 46% - - 42% 40% 43% 39% 45% 41% 43% 43% 46% 40% 39% 49% 36% 42% 45% 37% 39% 42% 41%

F i o PR U

Food & Beverage

- - 836 - - 832 359 474 213 205 204 210 290 146 378 258 321 254 140 324 180 188 497 336- - 41% - - 41% 37% 45% 35% 43% 40% 50% 46% 43% 39% 39% 45% 39% 40% 43% 43% 39% 43% 39%

G I IK O pr

Retail - grocery

- - 810 - - 803 380 423 199 188 209 207 265 151 369 265 308 230 126 311 173 193 456 347- - 40% - - 40% 39% 40% 33% 39% 41% 49% 42% 45% 38% 40% 43% 36% 36% 41% 41% 40% 40% 40%

i I IJK o R

Retail

- - 681 - - 711 281 430 190 144 192 184 223 136 337 201 308 201 118 275 141 176 424 287- - 34% - - 35% 29% 41% 32% 30% 37% 44% 36% 40% 34% 31% 43% 31% 33% 36% 34% 37% 37% 33%

G j IJ PR

Non-profits

- - 749 - - 676 331 345 158 144 199 175 188 120 360 249 248 179 109 255 146 165 383 293- - 37% - - 34% 34% 33% 26% 30% 38% 42% 30% 36% 37% 38% 35% 28% 31% 34% 35% 34% 33% 34%

f IJ IJ M R R

Airlines

- - 719 - - 641 312 329 161 151 188 142 174 122 331 226 230 185 93 257 137 154 368 274- - 36% - - 32% 32% 31% 27% 32% 36% 34% 28% 36% 34% 34% 32% 29% 26% 34% 33% 32% 32% 32%

F I i M M r S


- - 506 - - 527 284 243 221 164 93 49 158 76 276 186 187 154 86 229 93 119 324 203- - 25% - - 26% 29% 23% 37% 34% 18% 12% 25% 23% 28% 28% 26% 24% 25% 30% 22% 25% 28% 24%

H KL KL L U x

Financial services

- - 545 - - 526 245 282 132 129 148 117 171 89 255 186 191 150 87 208 118 113 314 212- - 27% - - 26% 25% 27% 22% 27% 29% 28% 27% 27% 26% 28% 27% 23% 25% 27% 28% 24% 27% 25%

I

Manufacturing

- - 534 - - 521 239 283 167 125 107 123 165 91 254 171 195 155 86 213 100 123 300 221- - 26% - - 26% 25% 27% 28% 26% 21% 29% 26% 27% 26% 26% 27% 24% 24% 28% 24% 26% 26% 26%

K k K


- - 369 - - 446 253 193 170 133 88 55 124 52 259 141 178 127 88 180 74 105 275 171- - 18% - - 22% 26% 18% 28% 28% 17% 13% 20% 15% 26% 21% 25% 20% 25% 24% 17% 22% 24% 20%

C H KL KL MN r U U

Technology

- - 431 - - 413 213 200 122 110 100 81 123 73 210 141 161 111 57 172 106 78 240 173- - 21% - - 21% 22% 19% 20% 23% 19% 19% 20% 22% 21% 21% 23% 17% 16% 23% 25% 16% 21% 20%

r sV SV

Automotive

- - 364 - - 371 178 193 132 100 93 47 109 59 194 112 153 107 64 146 73 89 231 140- - 18% - - 18% 18% 18% 22% 21% 18% 11% 17% 17% 20% 17% 22% 17% 18% 19% 17% 19% 20% 16%

L L L pr x

Entertainment

- - 236 - - 276 142 134 113 85 56 23 77 36 153 75 137 64 46 127 38 64 177 100- - 12% - - 14% 15% 13% 19% 18% 11% 5% 12% 11% 16% 11% 19% 10% 13% 17% 9% 13% 15% 12%

KL KL L n PR U x

Media



14 Apr 2020Table 246Q39 Which of the following industries should receive a bailout from the government? Please select all that apply.





-** -** 2023 -** -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base- - 254 - - 275 134 141 92 80 55 49 83 37 149 86 121 69 56 120 41 59 178 97- - 13% - - 14% 14% 13% 15% 17% 11% 12% 13% 11% 15% 13% 17% 11% 16% 16% 10% 12% 15% 11%

k Kl R U U X

Real estate

- - 265 - - 262 146 117 95 57 64 47 73 46 136 104 99 59 46 136 28 52 161 102- - 13% - - 13% 15% 11% 16% 12% 12% 11% 12% 14% 14% 16% 14% 9% 13% 18% 7% 11% 14% 12%

H R R U UV

Oil

- - 215 - - 211 98 113 60 48 68 35 72 25 93 63 52 95 32 68 47 64 112 99- - 11% - - 10% 10% 11% 10% 10% 13% 8% 11% 7% 9% 10% 7% 15% 9% 9% 11% 13% 10% 12%

l n PQ t

None of the above

- - 11957 - - 11747 5512 6234 3256 2826 3006 2658 3640 2076 5737 3858 4525 3364 1956 4702 2390 2699 6864 4882- - 591% - - 584% 570% 596% 542% 594% 583% 633% 581% 615% 584% 586% 636% 523% 555% 618% 568% 564% 595% 568%

Sigma



14 Apr 2020Table 247Q40 Which of the following will be your response if a company receives a government bailout?






- - 246 - - 300 175 126 121 94 51 35 83 41 174 116 111 73 63 110 47 81 175 126- - 12% - - 15% 18% 12% 20% 20% 10% 8% 13% 12% 18% 18% 16% 11% 18% 14% 11% 17% 15% 15%

C H KL KL Mn R r U u

Buy more from thiscompany

- - 302 - - 290 139 151 112 80 52 47 83 42 154 84 110 97 52 106 52 80 185 105- - 15% - - 14% 14% 14% 19% 17% 10% 11% 13% 12% 16% 13% 15% 15% 15% 14% 12% 17% 16% 12%

KL Kl x

Shop for an alternative ifpossible

- - 160 - - 150 85 66 73 32 34 12 42 14 90 51 53 46 29 53 32 36 97 53- - 8% - - 7% 9% 6% 12% 7% 7% 3% 7% 4% 9% 8% 7% 7% 8% 7% 8% 7% 8% 6%

JKL L l N

Stop using theirproduct/service completely

- - 1315 - - 1272 569 703 296 270 379 326 418 241 564 408 437 427 209 492 289 282 697 576- - 65% - - 63% 59% 67% 49% 57% 74% 78% 67% 71% 57% 62% 61% 66% 59% 65% 69% 59% 60% 67%

G I IJ IJ O O SV W

No difference

- - 2023 - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 248Q43 Which of the following industries do you think should provide solutions during the Covid-19 outbreak? Please select all

that apply.






- - 1140 1244 - 1165 575 591 298 284 301 282 336 201 598 377 411 377 188 428 275 274 678 488- - 56% 62% - 58% 59% 56% 50% 60% 58% 67% 54% 60% 61% 57% 58% 59% 53% 56% 65% 57% 59% 57%

Cf I I IjK M STv


- - 1163 1203 - 1110 531 579 269 246 313 281 331 204 548 366 397 347 183 408 258 260 617 493- - 57% 60% - 55% 55% 55% 45% 52% 61% 67% 53% 61% 56% 56% 56% 54% 52% 54% 61% 54% 53% 57%

F i IJ IJ M STv


- - 683 856 - 856 445 411 211 222 222 201 225 139 477 297 314 245 145 316 189 205 490 365- - 34% 42% - 43% 46% 39% 35% 47% 43% 48% 36% 41% 49% 45% 44% 38% 41% 42% 45% 43% 43% 42%

C C H I I I Mn R r

Technology

- - 488 647 - 628 303 325 137 154 169 167 186 106 314 216 219 193 109 220 149 150 376 252- - 24% 32% - 31% 31% 31% 23% 32% 33% 40% 30% 32% 32% 33% 31% 30% 31% 29% 35% 31% 33% 29%

C C I I Ijk t

Manufacturing

- - 497 573 - 584 288 295 174 160 136 115 167 97 306 166 224 194 92 216 128 148 342 242- - 25% 28% - 29% 30% 28% 29% 34% 26% 27% 27% 29% 31% 25% 32% 30% 26% 28% 30% 31% 30% 28%

C C K P

Financial services

- - 505 613 - 556 276 280 144 143 130 140 166 88 286 188 208 161 83 200 130 143 323 233- - 25% 30% - 28% 29% 27% 24% 30% 25% 33% 27% 26% 29% 29% 29% 25% 24% 26% 31% 30% 28% 27%

C i IK s

Retail - grocery

- - 420 541 - 492 256 235 139 130 118 104 157 67 252 166 183 142 89 189 102 112 291 201- - 21% 27% - 24% 26% 23% 23% 27% 23% 25% 25% 20% 26% 25% 26% 22% 25% 25% 24% 23% 25% 23%

C C n

Food & Beverage

- - 433 559 - 453 232 222 159 113 97 84 131 76 234 137 178 139 78 178 81 116 269 184- - 21% 28% - 23% 24% 21% 27% 24% 19% 20% 21% 23% 24% 21% 25% 22% 22% 23% 19% 24% 23% 21%

CF Kl

Media

- - 358 451 - 437 219 218 127 103 104 102 146 71 209 144 185 107 63 161 88 125 252 184- - 18% 22% - 22% 23% 21% 21% 22% 20% 24% 23% 21% 21% 22% 26% 17% 18% 21% 21% 26% 22% 21%

C C r R S

Restaurants

- - 361 488 - 405 210 195 128 101 89 87 117 70 204 107 179 120 63 153 80 110 236 169- - 18% 24% - 20% 22% 19% 21% 21% 17% 21% 19% 21% 21% 16% 25% 19% 18% 20% 19% 23% 20% 20%

CF PR


- - 312 400 - 402 179 223 137 88 78 98 121 71 201 111 170 121 50 152 86 114 229 173- - 15% 20% - 20% 19% 21% 23% 19% 15% 23% 19% 21% 20% 17% 24% 19% 14% 20% 20% 24% 20% 20%

C C K K Pr s s S

Non-profits

- - 337 430 - 377 180 198 118 85 88 86 110 60 197 112 165 101 44 134 79 121 213 164- - 17% 21% - 19% 19% 19% 20% 18% 17% 20% 18% 18% 20% 17% 23% 16% 12% 18% 19% 25% 18% 19%

C PR s s STu

Airlines

- - 304 328 - 343 176 168 98 103 67 76 109 49 170 99 132 112 58 125 64 96 207 136- - 15% 16% - 17% 18% 16% 16% 22% 13% 18% 17% 15% 17% 15% 19% 17% 16% 16% 15% 20% 18% 16%

iK

Small Businesses

- - 321 358 - 342 177 165 102 95 81 64 104 52 178 98 137 107 38 130 76 98 189 153- - 16% 18% - 17% 18% 16% 17% 20% 16% 15% 17% 15% 18% 15% 19% 17% 11% 17% 18% 20% 16% 18%

p S S S

Retail

- - 232 295 - 333 173 159 125 74 72 62 102 42 182 96 138 99 55 124 57 96 184 148- - 11% 15% - 17% 18% 15% 21% 16% 14% 15% 16% 13% 19% 15% 19% 15% 16% 16% 13% 20% 16% 17%

C C jKl N p U

Entertainment

- - 234 314 - 313 164 149 94 77 72 71 91 50 161 99 109 105 50 109 72 83 185 128- - 12% 16% - 16% 17% 14% 16% 16% 14% 17% 15% 15% 16% 15% 15% 16% 14% 14% 17% 17% 16% 15%

C C

Automotive



14 Apr 2020Table 248Q43 Which of the following industries do you think should provide solutions during the Covid-19 outbreak? Please select all

that apply.





-** -** 2023 2016 -** 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base- - 251 276 - 299 172 127 108 82 66 43 91 49 150 86 124 89 53 104 64 78 159 140- - 12% 14% - 15% 18% 12% 18% 17% 13% 10% 15% 14% 15% 13% 17% 14% 15% 14% 15% 16% 14% 16%

c H kL L p

Oil

- - 196 232 - 244 129 115 81 67 49 48 85 33 119 62 106 76 47 89 35 73 149 95- - 10% 12% - 12% 13% 11% 13% 14% 9% 11% 14% 10% 12% 9% 15% 12% 13% 12% 8% 15% 13% 11%

c k k P u U

Real estate

- - 28 36 - 19 4 14 3 3 11 2 8 4 7 5 10 4 3 5 6 5 10 8- - 1% 2% - 1% * 1% * 1% 2% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1%

f i

Other

- - 368 328 - 315 117 198 82 53 93 87 133 56 97 101 95 119 50 138 58 70 170 145- - 18% 16% - 16% 12% 19% 14% 11% 18% 21% 21% 17% 10% 15% 13% 18% 14% 18% 14% 15% 15% 17%

f G iJ IJ O O Q

N/A - I don’t believe anyof these industries are mostresponsible

- - 8631 10173 - 9673 4806 4867 2734 2384 2355 2200 2918 1586 4890 3031 3684 2957 1541 3578 2077 2476 5569 4104- - 427% 505% - 481% 497% 465% 455% 501% 457% 524% 466% 470% 498% 460% 518% 459% 438% 470% 493% 517% 483% 477%

Sigma



14 Apr 2020Table 249Q44 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.






- - 1061 - - 1077 526 551 253 242 296 286 326 186 535 357 384 336 183 418 216 261 629 448- - 52% - - 54% 54% 53% 42% 51% 57% 68% 52% 55% 54% 54% 54% 52% 52% 55% 51% 54% 55% 52%

I Ij IJK


- - 919 - - 944 478 466 224 206 260 255 273 165 477 320 338 286 159 355 204 227 548 396- - 45% - - 47% 49% 45% 37% 43% 50% 61% 44% 49% 49% 49% 47% 45% 45% 47% 48% 47% 48% 46%

h i Ij IJK


- - 814 - - 878 408 470 212 209 232 225 264 164 431 306 305 267 132 334 180 231 497 381- - 40% - - 44% 42% 45% 35% 44% 45% 54% 42% 49% 44% 47% 43% 41% 38% 44% 43% 48% 43% 44%

c I I IJk m S

Retail - grocery

- - 517 - - 700 371 328 177 179 185 158 172 107 401 262 232 206 129 277 136 157 402 298- - 26% - - 35% 38% 31% 30% 38% 36% 38% 27% 32% 41% 40% 33% 32% 37% 36% 32% 33% 35% 35%

C H I i I MN QR

Technology

- - 588 - - 654 322 333 185 180 159 130 196 86 359 230 234 190 113 249 142 151 370 284- - 29% - - 33% 33% 32% 31% 38% 31% 31% 31% 25% 37% 35% 33% 30% 32% 33% 34% 31% 32% 33%

c Ikl n mN

Food & Beverage

- - 481 - - 636 298 338 168 161 162 145 195 108 316 217 227 193 109 238 129 160 391 246- - 24% - - 32% 31% 32% 28% 34% 31% 35% 31% 32% 32% 33% 32% 30% 31% 31% 31% 33% 34% 29%

C i i X

Financial services

- - 376 - - 496 250 246 125 138 142 91 146 81 259 177 174 145 91 182 103 120 298 198- - 19% - - 25% 26% 24% 21% 29% 27% 22% 23% 24% 26% 27% 24% 22% 26% 24% 24% 25% 26% 23%

C Il I

Manufacturing

- - 406 - - 488 254 234 149 119 122 98 144 87 241 168 180 140 85 193 92 118 271 217- - 20% - - 24% 26% 22% 25% 25% 24% 23% 23% 26% 25% 25% 25% 22% 24% 25% 22% 25% 23% 25%

C

Restaurants

- - 385 - - 454 216 237 133 113 117 90 143 84 208 117 185 152 76 183 84 110 269 185- - 19% - - 23% 22% 23% 22% 24% 23% 21% 23% 25% 21% 18% 26% 24% 22% 24% 20% 23% 23% 22%

C P P

Media

- - 326 - - 410 191 219 123 84 99 104 128 77 193 125 156 129 55 166 83 106 232 178- - 16% - - 20% 20% 21% 20% 18% 19% 25% 20% 23% 20% 19% 22% 20% 16% 22% 20% 22% 20% 21%

C J s s

Non-profits

- - 293 - - 358 191 166 111 96 80 70 106 65 180 120 135 103 70 124 72 92 219 138- - 15% - - 18% 20% 16% 19% 20% 15% 17% 17% 19% 18% 18% 19% 16% 20% 16% 17% 19% 19% 16%

C h

Retail

- - 223 - - 352 170 182 129 98 77 48 118 50 170 101 145 106 67 136 59 90 202 150- - 11% - - 17% 18% 17% 21% 21% 15% 11% 19% 15% 17% 15% 20% 16% 19% 18% 14% 19% 18% 17%

C KL kL p

Entertainment

- - 333 - - 317 170 148 81 87 74 75 99 55 154 125 110 81 61 129 69 59 195 122- - 16% - - 16% 18% 14% 14% 18% 14% 18% 16% 16% 16% 19% 16% 13% 17% 17% 16% 12% 17% 14%

h i R v

Small Businesses

- - 260 - - 282 138 145 96 89 59 37 97 50 127 91 93 99 51 117 57 58 163 119- - 13% - - 14% 14% 14% 16% 19% 12% 9% 16% 15% 13% 14% 13% 15% 14% 15% 14% 12% 14% 14%

kL KL

Oil

- - 200 - - 269 131 138 90 85 55 40 92 42 125 80 102 87 49 103 49 68 156 113- - 10% - - 13% 14% 13% 15% 18% 11% 9% 15% 12% 13% 12% 14% 14% 14% 13% 12% 14% 14% 13%

C kl KL

Automotive

- - 197 - - 256 128 128 97 74 62 24 77 33 138 69 102 85 50 102 43 60 159 96- - 10% - - 13% 13% 12% 16% 15% 12% 6% 12% 10% 14% 11% 14% 13% 14% 13% 10% 13% 14% 11%

C L L L p




14 Apr 2020Table 249Q44 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 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted Base- - 155 - - 213 107 106 85 71 37 21 67 35 107 74 84 55 34 83 44 51 129 84- - 8% - - 11% 11% 10% 14% 15% 7% 5% 11% 10% 11% 11% 12% 9% 10% 11% 11% 11% 11% 10%

C KL KL

Airlines

- - 162 - - 197 96 101 79 61 31 26 70 26 96 70 74 52 46 75 27 48 112 85- - 8% - - 10% 10% 10% 13% 13% 6% 6% 11% 8% 10% 11% 10% 8% 13% 10% 7% 10% 10% 10%

KL KL U

Real estate

- - 16 - - 8 1 7 * 2 3 3 2 1 5 1 7 * - 4 2 3 5 3- - 1% - - * * 1% * * 1% 1% * * 1% * 1% * - * 1% 1% * *

pr

Other

- - 359 - - 277 99 178 74 57 84 61 117 48 93 86 93 97 41 109 65 62 150 126- - 18% - - 14% 10% 17% 12% 12% 16% 15% 19% 14% 9% 13% 13% 15% 12% 14% 15% 13% 13% 15%

F G O o

N/A - I don’t believe anyof these industries are bestpositioned

- - 8072 - - 9266 4545 4721 2593 2350 2334 1988 2832 1547 4613 3096 3360 2810 1602 3577 1856 2230 5399 3867- - 399% - - 460% 470% 451% 431% 494% 453% 473% 452% 459% 470% 470% 472% 437% 455% 470% 441% 466% 468% 450%

Sigma



14 Apr 2020Table 250LI03 How confident are you about things "going back to normal" after the COVID19 crisis is resolved?






- - - - - 1090 598 492 375 270 251 193 308 176 581 418 339 333 198 409 216 266 656 433- - - - - 54% 62% 47% 62% 57% 49% 46% 49% 52% 59% 63% 48% 52% 56% 54% 51% 56% 57% 50%

H KL KL Mn QR X

Very/Somewhat Confident(Net)

- - - - - 382 238 145 123 128 80 51 94 48 231 166 109 107 79 145 82 76 278 104- - - - - 19% 25% 14% 20% 27% 16% 12% 15% 14% 24% 25% 15% 17% 23% 19% 20% 16% 24% 12%

H kL IKL MN QR v X

Very confident

- - - - - 707 360 347 252 142 171 143 214 128 350 252 230 225 119 264 134 190 378 329- - - - - 35% 37% 33% 42% 30% 33% 34% 34% 38% 36% 38% 32% 35% 34% 35% 32% 40% 33% 38%

JKl q u W

Somewhat confident

- - - - - 614 252 362 160 142 175 137 205 102 286 161 250 203 101 231 138 144 333 281- - - - - 30% 26% 35% 27% 30% 34% 33% 33% 30% 29% 24% 35% 32% 29% 30% 33% 30% 29% 33%

G I P P

Not At All/Not VeryConfident (Net)

- - - - - 448 190 258 117 103 135 92 135 74 222 126 176 146 75 166 103 104 238 210- - - - - 22% 20% 25% 19% 22% 26% 22% 22% 22% 23% 19% 25% 23% 21% 22% 25% 22% 21% 24%

G I P

Not very confident

- - - - - 166 63 103 43 38 39 45 70 28 64 35 74 57 26 65 35 41 95 71- - - - - 8% 6% 10% 7% 8% 8% 11% 11% 8% 7% 5% 10% 9% 7% 8% 8% 9% 8% 8%

G O P P

Not at all confident

- - - - - 310 117 193 66 64 90 90 113 59 115 80 122 108 53 121 67 69 164 146- - - - - 15% 12% 18% 11% 13% 17% 21% 18% 18% 12% 12% 17% 17% 15% 16% 16% 14% 14% 17%

G I IJ O O P p

N/A - Things will never bethe same, there will be anew normal in the future

- - - - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 251Q34 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 4 6 5 1 4 - 4 1 1 3 1 5 1 5 1 2 3 6* * * 1% 1% * * 1% 1% * 1% - 1% * * 1% * 1% * 1% * * * 1%

c o

0

1858 1853 1831 1661 1550 1585 790 795 509 382 401 294 488 257 790 549 546 490 288 600 323 374 900 68591% 92% 91% 82% 78% 79% 82% 76% 85% 80% 78% 70% 78% 76% 80% 83% 77% 76% 82% 79% 77% 78% 78% 80%

DEF DEF DEF EF H KL L L QR

1 - 10

131 131 128 298 346 345 145 200 72 83 88 102 110 65 158 83 137 125 55 129 79 82 199 1466% 7% 6% 15% 17% 17% 15% 19% 12% 17% 17% 24% 18% 19% 16% 13% 19% 19% 16% 17% 19% 17% 17% 17%

ABC ABCd ABC g I i IjK P P

11 - 20

32 9 28 26 56 48 18 30 13 8 15 13 19 9 20 17 17 14 6 14 10 18 35 132% * 1% 1% 3% 2% 2% 3% 2% 2% 3% 3% 3% 3% 2% 3% 2% 2% 2% 2% 2% 4% 3% 1%B B B ABCD BcD x

21 - 30

6 7 9 1 10 13 8 5 2 1 1 10 2 6 5 5 1 7 * 7 4 2 8 5* * * * 1% 1% 1% * * * * 2% * 2% 1% 1% * 1% * 1% 1% * 1% 1%

d D D IJK M q

31 - 40

9 1 10 8 8 3 - 3 1 2 - * 1 - - - 1 2 - 2 - 1 1 2* * * * * * - * * * - * * - - - * * - * - * * * b B b b

41 - 50

1 2 2 3 2 1 1 - 1 - - - 1 - - - - 1 - 1 - - - 1* * * * * * * - * - - - * - - - - * - * - - - *

51 - 60

1 1 - - - - - - - - - - - - - - - - - - - - - -* * - - - - - - - - - - - - - - - - - - - - - -

61 - 70

5 - - - 3 4 - 4 - - 4 - - - 4 - 4 - - - 4 - 4 -* - - - * * - * - - 1% - - - * - * - - - 1% - * -

bcd T

71 - 80

- 3 - 1 1 1 - 1 - 1 - - - - 1 - 1 - 1 - - - - 1- * - * * * - * - * - - - - * - * - * - - - - *

81 - 90

- 5 10 9 2 5 2 3 * * 2 2 * - 4 * 4 1 1 3 - - 4 1- * 1% * * * * * * * * * * - * * 1% * * * - - * *

a Ae Ae a

91+

4.6 4.7 5.3 6.6 7.4 7.1 6.6 7.5 6.0 6.5 7.7 8.7 6.9 7.2 7.2 6.3 7.9 7.0 6.4 7.2 7.6 7.0 7.4 6.7Ab ABC ABCD ABC g Ij IJ P p

Mean (Incl. 0)

6.60 7.30 8.79 8.43 7.59 7.92 6.86 8.77 5.69 6.64 9.97 8.80 6.22 6.16 9.31 5.59 10.08 7.11 8.44 8.43 8.63 5.71 8.75 6.63Std. Dev. (Incl. 0)0.15 0.16 0.20 0.19 0.17 0.18 0.23 0.26 0.22 0.29 0.45 0.47 0.21 0.33 0.35 0.22 0.38 0.28 0.44 0.31 0.41 0.27 0.26 0.22Std. Err. (Incl. 0)

3 3 3 5 6 6 5 6 4 5 6 6 6 6 6 6 6 6 5 6 6 6 6 6Median (Incl. 0)4.6 4.7 5.3 6.6 7.4 7.1 6.7 7.6 6.1 6.5 7.7 8.7 7.0 7.2 7.2 6.3 8.0 7.1 6.4 7.2 7.6 7.0 7.4 6.8

Ab ABC ABCD ABC G Ij IJ P pMean (Excl. 0)

6.60 7.31 8.80 8.44 7.59 7.92 6.86 8.78 5.69 6.64 9.99 8.80 6.21 6.16 9.32 5.58 10.09 7.11 8.44 8.44 8.63 5.71 8.75 6.63Std. Dev. (Excl. 0)0.15 0.16 0.20 0.19 0.17 0.18 0.23 0.26 0.22 0.29 0.45 0.47 0.21 0.33 0.35 0.22 0.38 0.28 0.44 0.31 0.41 0.27 0.26 0.22Std. Err. (Excl. 0)

3 3 3 5 6 6 5 6 4 5 6 6 6 6 6 6 6 6 5 6 6 6 6 6Median (Excl. 0)2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860

100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%Sigma



14 Apr 2020Table 251Q34 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 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860Weighted 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 - W/XOverlap formulae used.


14 Apr 2020Table 252Q36 How likely do you think it is that coronavirus (COVID-19) will cause a global recession?






1578 1629 1730 - - 1731 834 897 500 411 451 369 512 300 872 555 656 521 297 660 352 422 992 74077% 81% 86% - - 86% 86% 86% 83% 86% 87% 88% 82% 89% 89% 84% 92% 81% 84% 87% 84% 88% 86% 86%

A AB AB M M PR

Somewhat/Very Likely(Net)

780 869 1046 - - 1042 498 544 265 262 287 229 272 183 555 318 442 283 172 401 219 251 602 44138% 43% 52% - - 52% 52% 52% 44% 55% 56% 54% 43% 54% 56% 48% 62% 44% 49% 53% 52% 52% 52% 51%

A AB AB I I I M M PR

Very likely

798 760 684 - - 689 336 353 235 149 164 141 241 117 317 237 214 237 125 259 133 171 390 29939% 38% 34% - - 34% 35% 34% 39% 31% 32% 33% 38% 35% 32% 36% 30% 37% 36% 34% 32% 36% 34% 35%CF Cf JK O q Q

Somewhat likely

324 267 164 - - 163 94 70 56 38 46 24 54 26 81 66 35 62 39 53 45 27 100 6316% 13% 8% - - 8% 10% 7% 9% 8% 9% 6% 9% 8% 8% 10% 5% 10% 11% 7% 11% 6% 9% 7%

bCF CF h Q Q tV tV

Not At All/Not VeryLikely (Net)

255 210 122 - - 120 74 46 37 29 35 19 42 14 63 53 24 43 29 40 32 19 73 4612% 10% 6% - - 6% 8% 4% 6% 6% 7% 4% 7% 4% 6% 8% 3% 7% 8% 5% 8% 4% 6% 5%CF CF H Q Q V v

Not very likely

69 57 42 - - 43 20 23 19 9 10 5 11 12 17 13 10 19 9 13 13 8 26 173% 3% 2% - - 2% 2% 2% 3% 2% 2% 1% 2% 4% 2% 2% 1% 3% 3% 2% 3% 2% 2% 2%cf

Not at all likely

148 123 129 - - 118 39 79 45 27 19 27 60 12 30 37 21 61 17 48 24 30 62 567% 6% 6% - - 6% 4% 8% 7% 6% 4% 6% 10% 4% 3% 6% 3% 9% 5% 6% 6% 6% 5% 7%

G K NO Q PQ

I’m not sure

2050 2019 2023 - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 253Q36A Would you say we are in a global recession due to the coronavirus outbreak?






- - - 1689 1793 1558 748 809 443 381 412 322 469 263 776 480 598 480 282 598 314 363 888 670- - - 84% 90% 77% 77% 77% 74% 80% 80% 77% 75% 78% 79% 73% 84% 75% 80% 79% 75% 76% 77% 78%

F DF I i PR

Yes

- - - 327 200 455 219 237 158 95 104 98 157 74 206 178 113 164 70 163 107 116 265 190- - - 16% 10% 23% 23% 23% 26% 20% 20% 23% 25% 22% 21% 27% 16% 25% 20% 21% 25% 24% 23% 22%

E DE Jk Q Q

No

- - - 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 254Q37 How many months do you believe it will take for financial markets to recover once the outbreak under control?






11 14 6 12 1 10 6 4 7 - 2 1 7 - - 2 1 6 * 5 3 3 4 71% 1% * 1% * 1% 1% * 1% - * * 1% - - * * 1% * 1% 1% 1% * 1%E E E E j nO

0

1448 1338 1258 1204 1100 1161 612 549 409 289 274 189 356 176 585 430 356 376 225 431 231 273 654 50771% 66% 62% 60% 55% 58% 63% 53% 68% 61% 53% 45% 57% 52% 60% 65% 50% 58% 64% 57% 55% 57% 57% 59%

BCDEF CDEF EF E H JKL kL l n QR Q tU

1 - 10

398 473 463 557 598 576 241 334 133 121 156 165 188 106 266 153 236 187 86 230 134 126 332 24319% 23% 23% 28% 30% 29% 25% 32% 22% 26% 30% 39% 30% 31% 27% 23% 33% 29% 24% 30% 32% 26% 29% 28%

A A ABC ABC ABC G I IJK P p s

11 - 20

103 119 163 158 194 167 77 90 36 42 50 39 52 36 76 54 70 43 28 53 32 54 100 675% 6% 8% 8% 10% 8% 8% 9% 6% 9% 10% 9% 8% 11% 8% 8% 10% 7% 8% 7% 8% 11% 9% 8%

AB Ab AB AB i r T

21 - 30

45 34 58 45 62 48 14 34 7 14 12 15 15 11 22 12 16 20 6 27 7 8 30 192% 2% 3% 2% 3% 2% 1% 3% 1% 3% 2% 4% 2% 3% 2% 2% 2% 3% 2% 4% 2% 2% 3% 2%

b B G i i

31 - 40

22 12 39 10 17 14 4 10 3 2 3 6 2 7 6 5 6 3 1 4 4 5 11 41% 1% 2% * 1% 1% * 1% * * 1% 1% * 2% 1% 1% 1% 1% * 1% 1% 1% 1% *

aBDEF Mo

41 - 50

8 7 17 11 8 18 6 12 3 5 8 2 3 1 13 1 9 7 1 6 4 7 11 7* * 1% 1% * 1% 1% 1% 1% 1% 2% 1% * * 1% * 1% 1% * 1% 1% 2% 1% 1%

b b p

51 - 60

6 2 2 - * 1 1 * 1 - * - 1 - - - * 1 - * 1 - - 1* * * - * * * * * - * - * - - - * * - * * - - * d

61 - 70

4 8 5 2 6 6 1 5 - - 5 1 * - 5 1 5 * * 3 2 - 4 2* * * * * * * * - - 1% * * - 1% * 1% * * * 1% - * *

ij

71 - 80

4 6 - 3 2 6 1 4 - 1 5 - - - 6 - 6 - 1 1 4 - 5 1* * - * * * * * - * 1% - - - 1% - 1% - * * 1% - * *

c c i pr

81 - 90

4 7 13 15 5 6 3 2 3 2 - 1 1 1 4 * 6 - 3 * - 2 3 3* * 1% 1% * * * * * * - * * * * * 1% - 1% * - * * *

a Ae pr Tu

91+

8.8 9.5 11.1 10.6 11.4 11.1 10.0 12.2 9.1 10.8 12.5 12.7 10.5 11.9 11.5 9.3 13.3 10.5 10.1 11.1 11.8 11.4 11.4 10.7AB AB ABd AB G I Ij Ij m PR p

Mean (Incl. 0)

10.95 11.36 13.05 12.03 10.93 11.86 10.82 12.67 10.34 11.60 14.03 10.82 9.87 10.57 13.51 8.71 15.10 10.08 12.64 10.85 12.71 12.01 12.34 11.19Std. Dev. (Incl. 0)0.24 0.25 0.29 0.27 0.24 0.26 0.36 0.38 0.40 0.51 0.64 0.58 0.33 0.57 0.51 0.34 0.57 0.40 0.66 0.39 0.61 0.57 0.37 0.37Std. Err. (Incl. 0)

6 6 6 6 8 8 6 9 6 7 9 12 8 10 7 6 10 8 6 8 9 8 8 8Median (Incl. 0)8.9 9.6 11.1 10.7 11.4 11.2 10.1 12.2 9.2 10.8 12.6 12.7 10.6 11.9 11.5 9.4 13.4 10.6 10.1 11.1 11.9 11.4 11.5 10.8

AB AB AB AB G i Ij IJ PR pMean (Excl. 0)

10.96 11.37 13.05 12.04 10.93 11.86 10.82 12.67 10.35 11.60 14.04 10.82 9.87 10.57 13.51 8.71 15.11 10.07 12.64 10.85 12.72 12.01 12.34 11.19Std. Dev. (Excl. 0)0.24 0.25 0.29 0.27 0.24 0.27 0.36 0.38 0.41 0.51 0.64 0.58 0.33 0.57 0.51 0.34 0.57 0.40 0.66 0.40 0.61 0.57 0.37 0.37Std. Err. (Excl. 0)

6 6 6 7 8 8 6 9 6 7 9 12 8 10 7 6 10 8 6 8 9 8 8 8Median (Excl. 0)2050 2019 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860

100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%Sigma



14 Apr 2020Table 255Q37A As of this week over 18,000 Americans have died from the coronavirus with over 100,000 deaths worldwide. How many lives

do you think will be lost in America due to the coronavirus?






- - 480 81 278 171 72 99 60 56 36 19 75 21 62 52 65 54 33 75 27 36 95 77- - 24% 4% 14% 9% 7% 9% 10% 12% 7% 5% 12% 6% 6% 8% 9% 8% 9% 10% 6% 8% 8% 9%

DEF DF D L KL NO

Between 18,000 and20,000 deaths

- - 505 245 550 545 248 297 131 108 154 151 191 86 254 208 184 154 94 213 123 115 325 220- - 25% 12% 28% 27% 26% 28% 22% 23% 30% 36% 31% 25% 26% 32% 26% 24% 27% 28% 29% 24% 28% 26%

D D D IJ IJ o qR


- - 409 692 402 633 329 304 151 133 187 163 167 130 324 220 180 233 109 230 130 164 363 271- - 20% 34% 20% 31% 34% 29% 25% 28% 36% 39% 27% 38% 33% 33% 25% 36% 31% 30% 31% 34% 31% 32%

CE CE h IJ IJ M M Q Q


- - 243 437 437 373 191 181 130 112 67 63 99 54 207 110 152 111 70 135 81 87 219 154- - 12% 22% 22% 19% 20% 17% 22% 23% 13% 15% 16% 16% 21% 17% 21% 17% 20% 18% 19% 18% 19% 18%

Cf CF C KL KL M p


- - 386 561 190 142 64 78 58 37 40 8 50 18 72 29 55 59 33 44 29 36 81 61- - 19% 28% 10% 7% 7% 7% 10% 8% 8% 2% 8% 5% 7% 4% 8% 9% 9% 6% 7% 7% 7% 7%

EF CEF F L L L P P t


- - - - 136 148 62 86 71 31 31 16 45 30 63 40 75 34 13 63 31 41 71 77- - - - 7% 7% 6% 8% 12% 6% 6% 4% 7% 9% 6% 6% 11% 5% 4% 8% 7% 9% 6% 9%

CD CD JKL PR S s S w

Over 500,000 deaths

- - 2023 2016 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 256LI01 Which do you think will have a bigger effect on the life of you and your family?






- - - - 765 696 349 347 219 170 160 147 205 95 370 225 268 203 142 237 145 171 415 281- - - - 38% 35% 36% 33% 36% 36% 31% 35% 33% 28% 38% 34% 38% 32% 40% 31% 35% 36% 36% 33%

F mN r T

Coronavirus/COVID-19itself

- - - - 1228 1317 618 699 382 306 355 273 422 243 612 433 443 441 210 524 276 308 738 579- - - - 62% 65% 64% 67% 64% 64% 69% 65% 67% 72% 62% 66% 62% 68% 60% 69% 65% 64% 64% 67%

E o O q S

The economic impacts ofthe coronavirus pandemic

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 257LI02 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 575 606 285 236 350 310 344 216 585 411 397 373 184 457 268 273 669 512- - - - 58% 59% 59% 58% 47% 50% 68% 74% 55% 64% 60% 62% 56% 58% 52% 60% 64% 57% 58% 60%

IJ IJ M Q S S

Family life

- - - - 1086 1053 506 547 239 208 340 266 339 181 497 374 335 343 160 404 256 232 596 457- - - - 54% 52% 52% 52% 40% 44% 66% 63% 54% 54% 51% 57% 47% 53% 46% 53% 61% 48% 52% 53%

IJ IJ Q q s STV

Eating habits

- - - - 1031 1027 500 527 215 198 322 292 309 182 504 376 328 323 175 384 229 239 609 418- - - - 52% 51% 52% 50% 36% 41% 62% 70% 49% 54% 51% 57% 46% 50% 50% 50% 54% 50% 53% 49%

IJ IJk QR

Work life

- - - - 935 999 433 567 268 210 297 224 340 177 449 331 341 328 158 397 222 223 556 444- - - - 47% 50% 45% 54% 45% 44% 58% 53% 54% 52% 46% 50% 48% 51% 45% 52% 53% 47% 48% 52%

G IJ IJ O o s s

Personal hygiene

- - - - 823 748 375 373 208 156 220 165 239 121 356 230 243 275 132 274 166 177 418 331- - - - 41% 37% 39% 36% 35% 33% 43% 39% 38% 36% 36% 35% 34% 43% 37% 36% 39% 37% 36% 38%

F IJ PQ

Shopping habits

- - - - 742 680 321 360 186 140 203 152 218 114 324 232 213 236 116 248 157 159 383 298- - - - 37% 34% 33% 34% 31% 29% 39% 36% 35% 34% 33% 35% 30% 37% 33% 33% 37% 33% 33% 35%

f IJ j Q

Social activity

- - - - 684 622 306 316 185 116 186 135 209 98 288 210 190 222 98 221 160 143 343 279- - - - 34% 31% 32% 30% 31% 24% 36% 32% 33% 29% 29% 32% 27% 34% 28% 29% 38% 30% 30% 32%

f j J j Q STV

Travel/vacation





Summary Of Somewhat Different






- - - - 723 817 412 404 221 203 214 179 232 136 418 271 297 248 156 296 169 196 475 341- - - - 36% 41% 43% 39% 37% 43% 41% 43% 37% 40% 43% 41% 42% 38% 44% 39% 40% 41% 41% 40%

E m

Social activity

- - - - 717 775 356 419 202 176 202 195 240 130 381 272 283 219 145 287 166 177 453 321- - - - 36% 38% 37% 40% 34% 37% 39% 46% 38% 39% 39% 41% 40% 34% 41% 38% 39% 37% 39% 37%

IJk R r

Shopping habits

- - - - 680 721 344 377 198 183 187 154 211 109 388 244 259 219 129 270 150 171 445 276- - - - 34% 36% 36% 36% 33% 38% 36% 37% 34% 32% 40% 37% 36% 34% 37% 36% 36% 36% 39% 32%

mn X

Travel/vacation

- - - - 584 612 303 309 223 166 121 103 179 104 314 181 237 195 130 222 101 159 342 270- - - - 29% 30% 31% 30% 37% 35% 23% 25% 29% 31% 32% 27% 33% 30% 37% 29% 24% 33% 30% 31%

KL KL p TU U

Eating habits

- - - - 584 553 310 243 179 134 121 119 158 87 294 178 202 173 124 196 97 136 311 242- - - - 29% 27% 32% 23% 30% 28% 23% 28% 25% 26% 30% 27% 28% 27% 35% 26% 23% 28% 27% 28%

H k m TU

Personal hygiene

- - - - 557 548 258 290 207 156 113 73 170 87 272 150 215 183 103 203 111 131 310 238- - - - 28% 27% 27% 28% 34% 33% 22% 17% 27% 26% 28% 23% 30% 28% 29% 27% 26% 27% 27% 28%

KL KL P p

Work life

- - - - 540 516 231 285 168 154 116 77 166 76 258 163 182 171 106 185 107 117 296 219- - - - 27% 26% 24% 27% 28% 32% 22% 18% 27% 22% 26% 25% 26% 27% 30% 24% 25% 25% 26% 26%

kL KL

Family life





Summary Of Very Different






- - - - 630 670 317 353 218 177 143 131 206 130 306 205 262 203 125 270 111 165 365 305- - - - 32% 33% 33% 34% 36% 37% 28% 31% 33% 38% 31% 31% 37% 32% 35% 35% 26% 34% 32% 35%

K K O p U U U

Travel/vacation

- - - - 528 516 234 282 194 134 99 89 176 88 239 155 201 160 80 216 96 124 295 221- - - - 26% 26% 24% 27% 32% 28% 19% 21% 28% 26% 24% 24% 28% 25% 23% 28% 23% 26% 26% 26%

KL Kl su

Social activity

- - - - 453 490 236 254 192 144 94 60 147 86 245 156 184 149 76 200 90 124 282 207- - - - 23% 24% 24% 24% 32% 30% 18% 14% 23% 26% 25% 24% 26% 23% 21% 26% 21% 26% 24% 24%

KL KL

Shopping habits

- - - - 474 461 225 236 154 132 98 77 129 74 239 149 168 143 71 168 102 120 287 174- - - - 24% 23% 23% 23% 26% 28% 19% 18% 21% 22% 24% 23% 24% 22% 20% 22% 24% 25% 25% 20%

KL KL x

Personal hygiene

- - - - 405 438 209 229 179 122 81 55 147 68 206 132 168 138 73 174 82 108 234 204- - - - 20% 22% 22% 22% 30% 26% 16% 13% 23% 20% 21% 20% 24% 21% 21% 23% 19% 23% 20% 24%

KL KL

Work life

- - - - 323 348 158 190 140 102 55 51 108 52 171 103 139 106 62 134 64 88 215 133- - - - 16% 17% 16% 18% 23% 21% 11% 12% 17% 15% 17% 16% 20% 16% 18% 18% 15% 18% 19% 15%

KL KL

Eating habits

- - - - 306 316 161 155 148 86 50 33 116 45 139 84 133 99 63 119 46 88 188 128- - - - 15% 16% 17% 15% 25% 18% 10% 8% 19% 13% 14% 13% 19% 15% 18% 16% 11% 18% 16% 15%

JKL KL nO P U u U

Family life



14 Apr 2020Table 260LI02_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






- - - - 823 748 375 373 208 156 220 165 239 121 356 230 243 275 132 274 166 177 418 331- - - - 41% 37% 39% 36% 35% 33% 43% 39% 38% 36% 36% 35% 34% 43% 37% 36% 39% 37% 36% 38%

F IJ PQ

Mostly the same

- - - - 717 775 356 419 202 176 202 195 240 130 381 272 283 219 145 287 166 177 453 321- - - - 36% 38% 37% 40% 34% 37% 39% 46% 38% 39% 39% 41% 40% 34% 41% 38% 39% 37% 39% 37%

IJk R r

Somewhat different

- - - - 453 490 236 254 192 144 94 60 147 86 245 156 184 149 76 200 90 124 282 207- - - - 23% 24% 24% 24% 32% 30% 18% 14% 23% 26% 25% 24% 26% 23% 21% 26% 21% 26% 24% 24%

KL KL

Very different

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Eating habits






- - - - 1086 1053 506 547 239 208 340 266 339 181 497 374 335 343 160 404 256 232 596 457- - - - 54% 52% 52% 52% 40% 44% 66% 63% 54% 54% 51% 57% 47% 53% 46% 53% 61% 48% 52% 53%

IJ IJ Q q s STV

Mostly the same

- - - - 584 612 303 309 223 166 121 103 179 104 314 181 237 195 130 222 101 159 342 270- - - - 29% 30% 31% 30% 37% 35% 23% 25% 29% 31% 32% 27% 33% 30% 37% 29% 24% 33% 30% 31%

KL KL p TU U

Somewhat different

- - - - 323 348 158 190 140 102 55 51 108 52 171 103 139 106 62 134 64 88 215 133- - - - 16% 17% 16% 18% 23% 21% 11% 12% 17% 15% 17% 16% 20% 16% 18% 18% 15% 18% 19% 15%

KL KL

Very different

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Social activity






- - - - 742 680 321 360 186 140 203 152 218 114 324 232 213 236 116 248 157 159 383 298- - - - 37% 34% 33% 34% 31% 29% 39% 36% 35% 34% 33% 35% 30% 37% 33% 33% 37% 33% 33% 35%

f IJ j Q

Mostly the same

- - - - 723 817 412 404 221 203 214 179 232 136 418 271 297 248 156 296 169 196 475 341- - - - 36% 41% 43% 39% 37% 43% 41% 43% 37% 40% 43% 41% 42% 38% 44% 39% 40% 41% 41% 40%

E m

Somewhat different

- - - - 528 516 234 282 194 134 99 89 176 88 239 155 201 160 80 216 96 124 295 221- - - - 26% 26% 24% 27% 32% 28% 19% 21% 28% 26% 24% 24% 28% 25% 23% 28% 23% 26% 26% 26%

KL Kl su

Very different

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Travel/vacation






- - - - 684 622 306 316 185 116 186 135 209 98 288 210 190 222 98 221 160 143 343 279- - - - 34% 31% 32% 30% 31% 24% 36% 32% 33% 29% 29% 32% 27% 34% 28% 29% 38% 30% 30% 32%

f j J j Q STV

Mostly the same

- - - - 680 721 344 377 198 183 187 154 211 109 388 244 259 219 129 270 150 171 445 276- - - - 34% 36% 36% 36% 33% 38% 36% 37% 34% 32% 40% 37% 36% 34% 37% 36% 36% 36% 39% 32%

mn X

Somewhat different

- - - - 630 670 317 353 218 177 143 131 206 130 306 205 262 203 125 270 111 165 365 305- - - - 32% 33% 33% 34% 36% 37% 28% 31% 33% 38% 31% 31% 37% 32% 35% 35% 26% 34% 32% 35%

K K O p U U U

Very different

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Work life






- - - - 1031 1027 500 527 215 198 322 292 309 182 504 376 328 323 175 384 229 239 609 418- - - - 52% 51% 52% 50% 36% 41% 62% 70% 49% 54% 51% 57% 46% 50% 50% 50% 54% 50% 53% 49%

IJ IJk QR

Mostly the same

- - - - 557 548 258 290 207 156 113 73 170 87 272 150 215 183 103 203 111 131 310 238- - - - 28% 27% 27% 28% 34% 33% 22% 17% 27% 26% 28% 23% 30% 28% 29% 27% 26% 27% 27% 28%

KL KL P p

Somewhat different

- - - - 405 438 209 229 179 122 81 55 147 68 206 132 168 138 73 174 82 108 234 204- - - - 20% 22% 22% 22% 30% 26% 16% 13% 23% 20% 21% 20% 24% 21% 21% 23% 19% 23% 20% 24%

KL KL

Very different

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Family life






- - - - 1147 1182 575 606 285 236 350 310 344 216 585 411 397 373 184 457 268 273 669 512- - - - 58% 59% 59% 58% 47% 50% 68% 74% 55% 64% 60% 62% 56% 58% 52% 60% 64% 57% 58% 60%

IJ IJ M Q S S

Mostly the same

- - - - 540 516 231 285 168 154 116 77 166 76 258 163 182 171 106 185 107 117 296 219- - - - 27% 26% 24% 27% 28% 32% 22% 18% 27% 22% 26% 25% 26% 27% 30% 24% 25% 25% 26% 26%

kL KL

Somewhat different

- - - - 306 316 161 155 148 86 50 33 116 45 139 84 133 99 63 119 46 88 188 128- - - - 15% 16% 17% 15% 25% 18% 10% 8% 19% 13% 14% 13% 19% 15% 18% 16% 11% 18% 16% 15%

JKL KL nO P U u U

Very different

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Personal hygiene






- - - - 935 999 433 567 268 210 297 224 340 177 449 331 341 328 158 397 222 223 556 444- - - - 47% 50% 45% 54% 45% 44% 58% 53% 54% 52% 46% 50% 48% 51% 45% 52% 53% 47% 48% 52%

G IJ IJ O o s s

Mostly the same

- - - - 584 553 310 243 179 134 121 119 158 87 294 178 202 173 124 196 97 136 311 242- - - - 29% 27% 32% 23% 30% 28% 23% 28% 25% 26% 30% 27% 28% 27% 35% 26% 23% 28% 27% 28%

H k m TU

Somewhat different

- - - - 474 461 225 236 154 132 98 77 129 74 239 149 168 143 71 168 102 120 287 174- - - - 24% 23% 23% 23% 26% 28% 19% 18% 21% 22% 24% 23% 24% 22% 20% 22% 24% 25% 25% 20%

KL KL x

Very different

- - - - 1993 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



14 Apr 2020Table 267Q33A How many months do you it will take for us to find a vaccine/ cure for the coronavirus?






- - 17 - - 15 3 12 7 7 2 - 5 4 1 2 7 7 * 8 1 6 6 9- - 1% - - 1% * 1% 1% 1% * - 1% 1% * * 1% 1% * 1% * 1% 1% 1%

g l O O

0

- - 1249 - - 1124 580 544 425 274 238 186 348 172 565 402 367 355 210 422 236 257 631 493- - 62% - - 56% 60% 52% 71% 58% 46% 44% 56% 51% 58% 61% 52% 55% 60% 55% 56% 54% 55% 57%

F H JKL KL n Qr

1-10

- - 561 - - 709 318 391 128 155 225 201 215 135 346 221 259 229 118 276 139 176 418 291- - 28% - - 35% 33% 37% 21% 33% 44% 48% 34% 40% 35% 34% 36% 36% 33% 36% 33% 37% 36% 34%

C I IJ IJ

11-20

- - 115 - - 119 44 75 22 33 36 27 41 21 52 24 59 36 18 42 33 26 67 52- - 6% - - 6% 5% 7% 4% 7% 7% 7% 7% 6% 5% 4% 8% 6% 5% 5% 8% 6% 6% 6%

g I i P

21-30

- - 32 - - 18 7 10 9 3 2 4 8 1 5 5 7 6 2 6 5 4 9 9- - 2% - - 1% 1% 1% 1% 1% * 1% 1% * 1% 1% 1% 1% 1% 1% 1% 1% 1% 1%

31-40

- - 24 - - 12 9 3 9 * 3 - 3 1 9 4 5 4 4 1 1 6 11 1- - 1% - - 1% 1% * 1% * 1% - * * 1% 1% 1% 1% 1% * * 1% 1% *

Jl t x

41-50

- - 22 - - 8 3 5 * 3 5 * 4 2 1 1 4 4 * 5 2 * 5 3- - 1% - - * * * * 1% 1% * 1% 1% * * 1% 1% * 1% 1% * * *

F i

51-100

- - 3 - - 7 2 6 1 1 4 1 3 - 4 - 4 3 1 1 4 2 6 1- - * - - * * 1% * * 1% * * - * - 1% * * * 1% * 1% *

101+

- - 11.0 - - 13.2 11.3 14.9 9.7 10.4 19.1 14.0 12.8 10.6 14.1 9.0 16.8 13.5 11.3 10.8 18.7 13.5 15.2 10.5ij P t

Mean

- - 35.41 - - 55.81 40.73 66.76 34.66 33.55 87.32 50.25 50.56 8.33 65.05 7.06 76.31 56.87 44.36 26.99 90.36 57.39 70.38 25.24Std. Dev.- - 0.79 - - 1.24 1.36 2.00 1.36 1.47 3.95 2.68 1.70 0.45 2.43 0.27 2.89 2.25 2.30 0.98 4.32 2.72 2.12 0.83Std. Err.- - 6 - - 8 8 9 6 7 12 12 8 10 8 7 10 9 7 8 9 9 8 8Median- - 2023 - - 2013 967 1046 601 476 516 420 626 337 982 658 711 644 352 761 421 479 1153 860- - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma


14 April 2020


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1 1 Q3A. Which of the following best describes your response to coronavirus?2 2 Q5 Governors around the country have told residents to stay indoors and ordered non-essential businesses to keep their

workers home. If this was also the case where you live, would you leave your home to go to/do any of the following?Summary Of Would Go Out For

3 3 Q5 Governors around the country have told residents to stay indoors and ordered non-essential businesses to keep theirworkers home. If this was also the case where you live, would you leave your home to go to/do any of the following?Summary Of Would Not Go Out For

4 4 Q6 What are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?5 5 Q7 What are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?6 6 BHV02 Which of the following actions will make you comfortable to do certain activities (e.g., fly, go to the gym, go to

sporting events, go on a cruise, etc.) again? Please select all that apply.7 7 BHV03 How much do you agree or disagree with each of the following statements?

Summary Of Strongly/Somewhat Agree8 8 BHV03 How much do you agree or disagree with each of the following statements?

Summary Of Strongly/Somewhat Disagree9 9 BHV03_1 How much do you agree or disagree with each of the following statements?

I am taking the necessary steps to help slow the spread of coronavirus.10 10 BHV03_2 How much do you agree or disagree with each of the following statements?

I believe my neighbors are taking necessary steps to slow the spread of coronavirus.11 11 BHV03_3 How much do you agree or disagree with each of the following statements?

I am concerned that easing off of the restrictions too soon will cause a surge in coronavirus cases.12 12 BHV04 Which of the following actions should be taken before stay-at-home orders are rescinded (i.e., withdrawn)? Please select

all that apply.13 13 BHV04 Which of the following actions should be taken before stay-at-home orders are rescinded (i.e., withdrawn)? Please select

all that apply.14 14 BHV08 Which are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?15 15 BHV09 Which are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?16 16 BHV10 Which are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?17 17 BHV11 Which are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?18 18 BHV12 Which are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?19 19 BHV13 Which are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?20 20 BHV14 Which are you more likely to do post covid19 (e.g., when the economy opens or the curve flattened)?21 21 BHV15 Since the coronavirus outbreak are you consuming more or less of the following?

Summary Of More22 22 BHV15 Since the coronavirus outbreak are you consuming more or less of the following?

Summary Of Less23 23 BHV15 Since the coronavirus outbreak are you consuming more or less of the following?

Summary Of No Change24 24 BHV15_1 Since the coronavirus outbreak are you consuming more or less of the following?

Fresh food (vegetables, fruit)25 25 BHV15_2 Since the coronavirus outbreak are you consuming more or less of the following?

Fast food26 26 BHV15_3 Since the coronavirus outbreak are you consuming more or less of the following?

Alcohol (beer, wine, spirits)27 27 BHV15_4 Since the coronavirus outbreak are you consuming more or less of the following?

Snack foods (chips, nuts, granola bars)28 28 BHV15_5 Since the coronavirus outbreak are you consuming more or less of the following?

Ready to eat meals (e.g., frozen pizzas)29 29 BHV15_6 Since the coronavirus outbreak are you consuming more or less of the following?

Home cooked meals30 30 BHV15_7 Since the coronavirus outbreak are you consuming more or less of the following?

Coffee and tea31 31 BHV15_8 Since the coronavirus outbreak are you consuming more or less of the following?

Soft drinks32 32 BHV15_9 Since the coronavirus outbreak are you consuming more or less of the following?

Candy and chocolate33 33 BHV07 Based on what you know and have heard, when do you think Americans should start returning to work and life as normal?34 34 SOC01 Which of the following do you believe people should receive a fine for? Please select all that apply.

People should receive a fine if they are...35 35 SOC02 How much do you agree or disagree with each of the following statements?


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36 36 SOC02 How much do you agree or disagree with each of the following statements?Summary Of Strongly/Somewhat Disagree

37 37 SOC02_1 How much do you agree or disagree with each of the following statements?People should be mandated to wear masks if they go out in public.

38 38 SOC02_2 How much do you agree or disagree with each of the following statements?If wearing masks in public are mandatory, those who do not wear face masks should face fines.

39 39 SOC02_3 How much do you agree or disagree with each of the following statements?Businesses should have the right to refuse someone service if they are not wearing a face mask.

40 40 EMP02 How concerned are you that you may lose your job due to the coronavirus outbreak?41 41 EMP04 Have you been working from home since the coronavirus pandemic?42 42 Q9 Do you think your income in 2020 will be lower, higher or about the same as it was in 2019?43 43 EMP05 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Summary Of Yes44 44 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 payment45 45 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 payment46 46 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 member47 47 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 friend48 48 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 income49 49 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 partially50 50 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 entirely51 51 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 normal52 52 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 savings53 53 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)54 54 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)55 55 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 way56 56 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 financially57 57 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 on

the amount that you have saved? If you are not sure, please use your best estimate.59 58 EMP07 Which of the following should have to happen before Americans can return to work? Please select all that apply.60 59 ECN01 Are you aware that the deadline to file taxes has been extended?61 60 ECN02 Will you be taking advantage of the extended tax deadline due to COVID-19?62 61 ECN03 Which of the following benefits related to last month’s stimulus package have you experienced? Please select all that

apply.63 62 ECN04 Should large national retailers be allowed to postpone rent payments if they cannot afford it due to the coronavirus,

even if they remain open for business?64 63 ECN05 Are you withdrawing from your 401K early because of new rules (i.e., from the Treasury and the President)/COVID-19?65 64 ECN06 How much do you agree or disagree with the statement that mandated mass social distancing requirements need to be

rescinded (i.e., withdrawn) in order to restart the economy?66 65 REV01 Are you planning any major purchases once things return to normal and businesses re-open? Please select all that apply.67 66 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.68 67 Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Concerned69 68 Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Not At All/Not Very Concerned70 69 Q15_1 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Your personal health71 70 Q15_2 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The health of your older friends and relatives

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72 71 Q15_3 How concerned are you about the impact coronavirus (COVID-19) has on the following?The health of the broader American populace

73 72 Q15_4 How concerned are you about the impact coronavirus (COVID-19) has on the following?The American economy

74 73 Q15_5 How concerned are you about the impact coronavirus (COVID-19) has on the following?Your personal finances

75 74 Q16 Do you think you are going to get coronavirus (COVID-19)?76 75 Q18 Which of the following is true for you?77 76 Q20 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Summary Of At Least A Little78 77 Q20_1 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Coronavirus being my first time experiencing a pandemic like this79 78 Q20_2 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Afraid of losing my loved ones80 79 Q20_3 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Afraid of accidentally spreading the virus to vulnerable people even if I’m not experiencing symptoms81 80 Q20_4 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Constant stream of social media posts about people’s reactions to the outbreak (e.g., stocking up, self-quarantining, empty shelves)82 81 Q20_5 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

News and images of people fighting over products at the grocery store83 82 Q20_6 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Drastic headlines about how society is changing (e.g., national guard in New Rochelle, NBA being cancel)84 83 Q20_7 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Learning that celebrities and politicians are testing positive85 84 Q20_8 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Communication from the government86 85 Q20_9 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Communication from the CDC87 86 Q20_10 How much do each of the following aspects contribute to your level of fear and concern regarding coronavirus (COVID-19)?

Trying to keep up with all the safety recommendations88 87 Q21 Which of the following is closest to your view of people’s reaction to the coronavirus (COVID-19) outbreak?89 88 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

90 89 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

91 90 Q15_1 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirusoutbreak?Quarantine indoors

92 91 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)

93 92 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

94 93 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

95 94 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

96 95 FR01 Have you felt any of the following since the stay-home orders have gone into effect?Summary Of Yes

97 96 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

98 97 FR01_2 Have you felt any of the following since the stay-home orders have gone into effect?Claustrophobic- unable to escape my home

99 98 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

100 99 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

101 100 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

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102 101 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

103 102 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

104 103 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

105 104 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

106 105 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)

107 106 FR02_2 While working from home, are you more likely to...Get properly dressed/Wear PJs/sweatpants

108 107 FR02_3 While working from home, are you more likely to...Take a shower daily/Skip a couple of days of showering

109 108 FR02_4 While working from home, are you more likely to...Work more/Work less

110 109 FR02_5 While working from home, are you more likely to...Maintain clear time boundaries (e.g., 9-5)/Work anytime that is needed

111 110 FR03 Are you a parent who is now staying at home with your child(ren)?112 111 FR04 As a parent, have you experienced any of the following since the stay-home orders have gone into effect?

Summary Of Yes113 112 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 kids114 113 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 happy115 114 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 systems116 115 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 calls117 116 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 break118 117 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 kids119 118 FR05 How much would you say you miss each of the following during this time of virus-related shutdowns?

Summary Of A Lot/Somewhat120 119 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 Very121 120 FR05_1 How much would you say you miss each of the following during this time of virus-related shutdowns?

Traveling on an airplane122 121 FR05_2 How much would you say you miss each of the following during this time of virus-related shutdowns?

Going to a movie theatre123 122 FR05_3 How much would you say you miss each of the following during this time of virus-related shutdowns?

Shopping in stores124 123 FR05_4 How much would you say you miss each of the following during this time of virus-related shutdowns?

Working from the office125 124 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 events126 125 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/bar127 126 FR05_7 How much would you say you miss each of the following during this time of virus-related shutdowns?

Watching sports on TV128 127 FR05_8 How much would you say you miss each of the following during this time of virus-related shutdowns?

Gatherings with friends and family129 128 FR05_9 How much would you say you miss each of the following during this time of virus-related shutdowns?

Going to church130 129 FR05_10 How much would you say you miss each of the following during this time of virus-related shutdowns?

Going to school or university131 130 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 class132 131 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,133 132 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

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134 133 Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Summary Of Concerned

135 134 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

136 135 Q22_1 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Surgical masks and gloves

137 136 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

138 137 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)

139 138 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)

140 139 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)

141 140 FR06 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies havetaken in response to the pandemic. Do these actions improve or worsen your opinion of the company?Summary Of Strongly/Somewhat Improve Opinion

142 141 FR06 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies havetaken in response to the pandemic. Do these actions improve or worsen your opinion of the company?Summary Of Strongly/Somewhat Worse Opinion

143 142 FR06_1 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies havetaken in response to the pandemic. Do these actions improve or worsen your opinion of the company?Company executives forgoes salaries, bonuses or other compensation.

144 143 FR06_2 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies havetaken in response to the pandemic. Do these actions improve or worsen your opinion of the company?Company harmed by the crisis asking for a bailout from the federal government.

145 144 FR06_3 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies havetaken in response to the pandemic. Do these actions improve or worsen your opinion of the company?Company shifts production to make equipment or supplies necessary to fight the pandemic.

146 145 FR06_4 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies havetaken in response to the pandemic. Do these actions improve or worsen your opinion of the company?Company promises to relocate their manufacturing away from China and back to the United States.

147 146 FR06_5 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies havetaken in response to the pandemic. Do these actions improve or worsen your opinion of the company?Company allows customers to forgo payments for up to 6 months or offers lower interest rates or other programs.

148 147 FR06_6 Businesses and CEOs have responded in different ways to the pandemic. Below is a list of actions that companies havetaken in response to the pandemic. Do these actions improve or worsen your opinion of the company?Company donates money, supplies or employee’s time to aid relief in communities.

149 148 Q23 Which of the following sources do you get your information from regarding the coronavirus (COVID-19) outbreak? Pleaseselect all that apply.

150 149 Q24 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Summary Of Trustworthy

151 150 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)

152 151 Q24_2 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?National media

153 152 Q24_3 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Local media

154 153 Q24_4 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Medical journals

155 154 Q24_5 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Government PSA’s/website

156 155 Q24_6 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?CDC

157 156 Q24_7 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Friends and family

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158 157 Q24_8 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Doctors and nurses

159 158 Q24_9 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?The White House/President

160 159 Q24_10 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?My governor

161 160 Q24_11 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?My local government

162 161 Q24_12 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Chinese President, Xi Jinping

163 162 MED01 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Summary Of Increased

164 163 MED01 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Summary Of Decreased

165 164 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

166 165 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)

167 166 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)

168 167 MED01_3 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Smartphone/tablet

169 168 MED01_4 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Magazines

170 169 MED01_5 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Books

171 170 MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Summary Of More

172 171 MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Summary Of Less

173 172 MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Summary Of About The Same

174 173 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)

175 174 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)

176 175 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)

177 176 MED02_4 Are you using each of the following more, less, or about the same since the coronavirus outbreak?News apps

178 177 MED02_5 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Podcasts

179 178 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)

180 179 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)

181 180 MED02_8 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Dating apps

182 181 MED02_9 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Games

183 182 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)

184 183 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Too Few

185 184 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Just Enough

186 185 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Too Many

187 186 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Too Few

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188 187 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Just Enough

189 188 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Too Many

190 189 MED03_1 How many advertisements do you notice related to COVID19 while using the following apps/platforms?On-demand food delivery apps (e.g., UberEATS, Doordash)

191 190 MED03_2 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Social media (e.g., Facebook, Instagram, Twitter)

192 191 MED03_3 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Virtual meeting sites (e.g., Zoom, Teams)

193 192 MED03_4 How many advertisements do you notice related to COVID19 while using the following apps/platforms?News apps

194 193 MED03_5 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Podcasts

195 194 MED03_6 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Wellness apps (e.g., Meditation apps, work-outs)

196 195 MED03_7 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Music apps (e.g., Spotify, iTunes)

197 196 MED03_8 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Dating apps

198 197 MED03_9 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Games

199 198 MED03_10 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Streaming services (e.g., Netflix, Hulu)

200 199 MED04 Do you ever click on the ads you see related to COVID19?201 200 MED05 What is your opinion of companies who create advertisements about COVID-19?202 201 MED10 How much more entertainment programming are you watching than before the coronavirus crisis?203 202 MED07 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

Summary Of More204 203 MED07 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

Summary Of Less205 204 MED07 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

Summary Of About The Same206 205 MED07_1 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

Amazon Prime207 206 MED07_2 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

UberEATS208 207 MED07_3 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

GrubHub209 208 MED07_4 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

PostMates210 209 MED07_5 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

HelloFresh211 210 MED07_6 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

DoorDash212 211 Q23 Once they are allowed to reopen, should certain businesses that host events (e.g., concert venues, convention centers)

be required to conduct health screening before allowing people to enter?213 212 Q24 Would you be willing to share your mobile location data so that you can be alerted if you were to enter an area that

posed a health risk (e.g., a quarantined zone or an area with several cases of COVID-19).214 213 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?215 214 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

216 215 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

217 216 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

218 217 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

219 218 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

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220 219 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

221 220 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

222 221 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

223 222 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

224 223 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

225 224 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)

226 225 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

227 226 Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Summary Of More Positive

229 227 Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Summary Of More Negative

231 228 Q38_1 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Financial services

232 229 Q38_2 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Retail

233 230 Q38_3 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Technology

234 231 Q38_4 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Media

235 232 Q38_5 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Automotive

236 233 Q38_6 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Healthcare (Doctors/Nurses/Hospital)

237 234 Q38_7 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Food & Beverage

238 235 Q38_8 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Entertainment

239 236 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)

240 237 Q38_10 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Airlines

241 238 Q38_11 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Non-profits

242 239 Q38_12 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Real estate

243 240 Q38_13 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Retail - grocery

244 241 Q38_14 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Pharmaceutical/drugs

245 242 Q38_15 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Oil

246 243 Q38_16 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Restaurants

247 244 Q38_17 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Manufacturing

248 245 Q38_18 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Small Businesses

249 246 Q39 Which of the following industries should receive a bailout from the government? Please select all that apply.251 247 Q40 Which of the following will be your response if a company receives a government bailout?252 248 Q43 Which of the following industries do you think should provide solutions during the Covid-19 outbreak? Please select all

that apply.

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254 249 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.

256 250 LI03 How confident are you about things "going back to normal" after the COVID19 crisis is resolved?257 251 Q34 How many months will it take for things to return back to normal (e.g., schools and businesses reopen, no social

distancing, etc.)?259 252 Q36 How likely do you think it is that coronavirus (COVID-19) will cause a global recession?260 253 Q36A Would you say we are in a global recession due to the coronavirus outbreak?261 254 Q37 How many months do you believe it will take for financial markets to recover once the outbreak under control?262 255 Q37A As of this week over 18,000 Americans have died from the coronavirus with over 100,000 deaths worldwide. How many lives

do you think will be lost in America due to the coronavirus?263 256 LI01 Which do you think will have a bigger effect on the life of you and your family?264 257 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

265 258 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

266 259 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

267 260 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

268 261 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

269 262 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

270 263 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

271 264 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

272 265 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

273 266 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

274 267 Q33A How many months do you it will take for us to find a vaccine/ cure for the coronavirus?

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