waves gender age income political wave 2 wave 3 …...2020/04/05 · waves gender age income...

Fielding Period: March 14 - April 5, 2020COVID-19Weighted To The U.S. General Adult Population - Propensity

6 Apr 2020Table 1BHV01 Has your local or state government issued a stay-at-home order?

Base: All Respondents

Waves Gender Age Income Political

Wave 2 Wave 3 Wave 4 Wave 5 Wave 6(3/14 - (3/17 - (3/21 - (3/28 - (4/3 - Less than $50k -3/15) 3/18) 3/23) 3/30) 4/5) MALE FEMALE 18-34 35-49 50-64 65+ $50k $75k $75k+ GOP DEM IND/OTH

(A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L) (M) (N) (O) (P) (Q)

- - - - 1993 961 1032 546 539 478 430 754 359 790 727 712 554Unweighted Base-** -** -** -** 1993 952 1041 591 505 484 412 616 333 953 683 750 561Weighted Base

- - - - 1836 874 962 542 469 453 373 557 307 897 634 695 508- - - - 92% 92% 92% 92% 93% 93% 90% 90% 92% 94% 93% 93% 91%

LYes

- - - - 157 78 79 49 37 32 39 59 25 57 49 55 53- - - - 8% 8% 8% 8% 7% 7% 10% 10% 8% 6% 7% 7% 9%

NNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 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/QOverlap formulae used. ** very small base (under 30) ineligible for sig testing


6 Apr 2020Table 2Q3A. Which of the following best describes your response to coronavirus?





- 2019 2023 2016 1993 961 1032 546 539 478 430 754 359 790 727 712 554Unweighted Base-** 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561Weighted Base

- 1541 1684 1809 1890 887 1003 550 478 461 400 571 320 912 644 725 522- 76% 83% 90% 95% 93% 96% 93% 95% 95% 97% 93% 96% 96% 94% 97% 93%

B BC BCD F H l L oQI have taken steps tomake sure I leave myresidence as little aspossible

- 478 339 207 103 65 38 40 27 23 12 45 13 41 39 25 39- 24% 17% 10% 5% 7% 4% 7% 5% 5% 3% 7% 4% 4% 6% 3% 7%

CDE DE E G K mN p PI have been leaving myresidence as I normallywould

- 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 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 Go Out For





- - 2023 2016 1993 961 1032 546 539 478 430 754 359 790 727 712 554Unweighted Base-** -** 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561Weighted Base

- - 1728 1744 1744 820 924 500 434 436 374 533 303 823 581 658 505- - 85% 87% 88% 86% 89% 85% 86% 90% 91% 87% 91% 86% 85% 88% 90%

H Hi ln OGrocery store

- - 1630 1626 1619 791 828 450 419 410 340 476 280 793 550 616 454- - 81% 81% 81% 83% 80% 76% 83% 85% 82% 77% 84% 83% 81% 82% 81%

H H h L LPharmacy

- - 1338 1299 1323 648 675 391 359 312 262 380 237 641 460 484 379- - 66% 64% 66% 68% 65% 66% 71% 64% 64% 62% 71% 67% 67% 65% 68%

jk L lHospital/doctor’s office

- - 1355 1265 1144 564 581 338 293 310 203 325 197 573 397 432 315- - 67% 63% 57% 59% 56% 57% 58% 64% 49% 53% 59% 60% 58% 58% 56%

DE E k K hK l LCaring for a familymember in anotherhousehold

- - 1288 1220 1106 521 585 315 276 300 215 308 202 548 390 406 310- - 64% 61% 56% 55% 56% 53% 55% 62% 52% 50% 61% 58% 57% 54% 55%

E E HiK L LCaring for elderly

- - 1220 1165 1077 504 572 303 287 276 211 306 198 529 376 405 296- - 60% 58% 54% 53% 55% 51% 57% 57% 51% 50% 60% 55% 55% 54% 53%

E e L lCaring for people withdisabilities

- - 1177 1071 1009 493 515 317 273 251 168 273 172 517 342 378 288- - 58% 53% 51% 52% 50% 54% 54% 52% 41% 44% 52% 54% 50% 50% 51%

DE K K K l LCaring for children

- - 960 986 954 482 473 267 265 227 196 281 174 444 352 347 256- - 47% 49% 48% 51% 45% 45% 52% 47% 47% 46% 52% 47% 52% 46% 46%

g h l qBanks

- - 1070 1111 948 468 480 288 235 222 203 263 164 476 340 355 253- - 53% 55% 48% 49% 46% 49% 47% 46% 49% 43% 49% 50% 50% 47% 45%

E E l LRestaurants for carry-out

- - 972 1091 944 480 464 270 258 223 193 243 150 507 344 350 250- - 48% 54% 47% 50% 45% 46% 51% 46% 47% 39% 45% 53% 50% 47% 45%

CE G LM qDaily exercise

- - 393 328 230 172 58 92 87 36 15 66 29 123 99 68 62- - 19% 16% 12% 18% 6% 16% 17% 7% 4% 11% 9% 13% 15% 9% 11%

DE E G JK JK K PVisit friends

- - 360 278 197 136 61 79 67 34 16 50 33 106 91 51 55- - 18% 14% 10% 14% 6% 13% 13% 7% 4% 8% 10% 11% 13% 7% 10%

DE E G JK JK PHaving dinner at a friend’shouse

- - 235 233 146 95 52 60 58 18 11 37 21 80 61 46 40- - 12% 12% 7% 10% 5% 10% 12% 4% 3% 6% 6% 8% 9% 6% 7%

E E G JK JKSchools

- - 186 185 133 100 33 66 47 15 5 25 15 85 50 36 47- - 9% 9% 7% 11% 3% 11% 9% 3% 1% 4% 4% 9% 7% 5% 8%

E E G JK JK LM PGoing to the gym

- - 222 227 132 89 43 52 57 16 7 38 19 72 60 38 35- - 11% 11% 7% 9% 4% 9% 11% 3% 2% 6% 6% 8% 9% 5% 6%

E E G JK JK PHosting people for dinner



6 Apr 2020Table 4Q5 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






- - 1801 1789 1861 863 998 538 449 468 405 578 314 881 623 712 526- - 89% 89% 93% 91% 96% 91% 89% 97% 98% 94% 94% 92% 91% 95% 94%

CD F HI HI OHosting people for dinner

- - 1837 1831 1860 852 1008 525 458 469 407 591 318 868 632 713 514- - 91% 91% 93% 89% 97% 89% 91% 97% 99% 96% 96% 91% 93% 95% 92%

CD F HI HI N N QGoing to the gym

- - 1788 1783 1847 857 989 531 447 466 402 578 312 873 622 704 521- - 88% 88% 93% 90% 95% 90% 88% 96% 97% 94% 94% 92% 91% 94% 93%

CD F HI HISchools

- - 1663 1738 1796 816 980 512 438 450 396 566 300 847 591 698 506- - 82% 86% 90% 86% 94% 87% 87% 93% 96% 92% 90% 89% 87% 93% 90%

C CD F HI HI OHaving dinner at a friend’shouse

- - 1630 1688 1763 780 983 499 418 448 398 549 303 830 584 681 498- - 81% 84% 88% 82% 94% 84% 83% 93% 96% 89% 91% 87% 85% 91% 89%

C CD F HI HIJ OVisit friends

- - 1051 925 1049 472 577 321 247 261 220 373 182 446 338 400 311- - 52% 46% 53% 50% 55% 54% 49% 54% 53% 61% 55% 47% 50% 53% 55%

D D F N N oDaily exercise

- - 953 905 1045 484 560 303 270 262 209 352 168 477 342 395 308- - 47% 45% 52% 51% 54% 51% 53% 54% 51% 57% 51% 50% 50% 53% 55%

CD mNRestaurants for carry-out

- - 1063 1030 1039 471 568 324 241 258 216 334 159 509 331 403 305- - 53% 51% 52% 49% 55% 55% 48% 53% 53% 54% 48% 53% 48% 54% 54%

f i m oBanks

- - 846 945 984 459 526 274 232 234 245 343 161 436 340 371 273- - 42% 47% 49% 48% 50% 46% 46% 48% 59% 56% 48% 46% 50% 50% 49%

C C HIJ mNCaring for children

- - 803 851 916 448 469 288 219 208 201 309 135 424 306 345 265- - 40% 42% 46% 47% 45% 49% 43% 43% 49% 50% 40% 45% 45% 46% 47%

Cd MnCaring for people withdisabilities

- - 735 796 887 431 456 276 230 185 197 308 131 405 292 343 251- - 36% 39% 44% 45% 44% 47% 45% 38% 48% 50% 39% 42% 43% 46% 45%

CD J j J MNCaring for elderly

- - 668 751 849 388 460 253 213 174 209 290 135 380 286 317 246- - 33% 37% 43% 41% 44% 43% 42% 36% 51% 47% 41% 40% 42% 42% 44%

C CD j hIJ mNCaring for a familymember in anotherhousehold

- - 685 717 670 304 366 200 147 173 150 235 96 312 223 265 182- - 34% 36% 34% 32% 35% 34% 29% 36% 36% 38% 29% 33% 33% 35% 32%

i i MnHospital/doctor’s office

- - 393 390 374 161 213 141 87 74 73 140 53 161 133 134 107- - 19% 19% 19% 17% 20% 24% 17% 15% 18% 23% 16% 17% 19% 18% 19%

IJk MNPharmacy

- - 295 272 249 132 117 91 71 49 38 82 29 131 102 92 55- - 15% 13% 12% 14% 11% 15% 14% 10% 9% 13% 9% 14% 15% 12% 10%

JK k m m QGrocery store



6 Apr 2020Table 5Q8 Would you obey the following mandated restrictions?

Summary Of Would Follow RestrictionBase: All Respondents





- - 1900 1888 1880 878 1002 545 465 463 408 575 319 899 648 703 528- - 94% 94% 94% 92% 96% 92% 92% 95% 99% 93% 96% 94% 95% 94% 94%

F hi HIJNo international travel

- - 1882 1848 1871 873 998 526 474 465 405 580 320 887 640 707 524- - 93% 92% 94% 92% 96% 89% 94% 96% 98% 94% 96% 93% 94% 94% 93%

D F H H HI nConvening with groups nolarger than 10 people

- - 1888 1876 1869 873 996 536 468 464 401 575 313 896 649 697 524- - 93% 93% 94% 92% 96% 91% 93% 96% 97% 93% 94% 94% 95% 93% 93%

F Hi HINo dining in bars andrestaurants

- - 1833 1852 1853 848 1005 522 463 465 403 582 315 874 638 689 527- - 91% 92% 93% 89% 97% 88% 92% 96% 98% 95% 95% 92% 93% 92% 94%

C F HI HI nNon-essential workers tostay home

- - 1736 1837 1845 873 973 509 460 466 409 581 311 871 636 687 522- - 86% 91% 93% 92% 93% 86% 91% 96% 99% 94% 93% 91% 93% 92% 93%

C C H HI HIJ nStaying 6 feet apart fromothers at all times



6 Apr 2020Table 6Q8 Would you obey the following mandated restrictions?

Summary Of Would Not Follow RestrictionBase: All Respondents





- - 287 179 148 80 68 81 45 18 3 35 22 82 47 63 38- - 14% 9% 7% 8% 7% 14% 9% 4% 1% 6% 7% 9% 7% 8% 7%

DE IJK JK K lStaying 6 feet apart fromothers at all times

- - 190 164 140 104 36 69 43 19 9 33 17 79 45 61 34- - 9% 8% 7% 11% 3% 12% 8% 4% 2% 5% 5% 8% 7% 8% 6%

E G JK JK lNon-essential workers tostay home

- - 135 140 124 79 45 55 38 20 11 41 20 57 34 53 37- - 7% 7% 6% 8% 4% 9% 7% 4% 3% 7% 6% 6% 5% 7% 7%

G JK jKNo dining in bars andrestaurants

- - 141 168 122 79 43 65 31 19 7 36 13 66 42 42 37- - 7% 8% 6% 8% 4% 11% 6% 4% 2% 6% 4% 7% 6% 6% 7%

E G IJK K mConvening with groups nolarger than 10 people

- - 123 128 113 74 39 46 41 22 5 40 14 54 35 47 32- - 6% 6% 6% 8% 4% 8% 8% 5% 1% 7% 4% 6% 5% 6% 6%

G jK jK KNo international travel



6 Apr 2020Table 7EMP02 How concerned are you that you may lose your job due to the coronavirus outbreak?

Base: Employed




- - - 1198 1161 638 523 393 430 256 82 320 205 603 431 425 305Unweighted Base-** -** -** 1242 1173 634 539 414 406 269 84* 267 179 698 396 454 322Weighted Base

- - - 692 701 400 302 261 255 150 36 169 102 417 242 293 166- - - 56% 60% 63% 56% 63% 63% 56% 43% 63% 57% 60% 61% 65% 51%

g K K Q QVery/SomewhatConcerned (Net)

- - - 347 383 228 155 125 177 73 8 93 60 227 135 155 93- - - 28% 33% 36% 29% 30% 43% 27% 10% 35% 34% 33% 34% 34% 29%

d G K HJK K Very concerned

- - - 344 318 172 147 135 78 77 28 76 42 190 107 138 73- - - 28% 27% 27% 27% 33% 19% 29% 33% 29% 23% 27% 27% 30% 23%

I I I q Somewhat concerned

- - - 551 471 234 237 153 151 119 47 98 77 281 154 161 157- - - 44% 40% 37% 44% 37% 37% 44% 57% 37% 43% 40% 39% 35% 49%

f HI OPNot At All/Not VeryConcerned (Net)

- - - 258 221 116 105 81 70 52 18 45 40 126 81 62 77- - - 21% 19% 18% 19% 20% 17% 19% 21% 17% 22% 18% 20% 14% 24%

P P Not very concerned

- - - 293 251 118 133 72 82 67 30 53 37 155 73 98 79- - - 24% 21% 19% 25% 17% 20% 25% 36% 20% 21% 22% 19% 22% 25%

f h HI Not at all concerned

- - - 1242 1173 634 539 414 406 269 84 267 179 698 396 454 322- - - 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/QOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


6 Apr 2020Table 8EMP04 Have you been working from home since the coronavirus pandemic?

Base: Employed




- - - - 1161 638 523 393 430 256 82 320 205 603 431 425 305Unweighted Base-** -** -** -** 1173 634 539 414 406 269 84* 267 179 698 396 454 322Weighted Base

- - - - 726 425 300 277 272 145 32 118 101 495 262 267 197- - - - 62% 67% 56% 67% 67% 54% 38% 44% 57% 71% 66% 59% 61%

G JK JK k L LM pYes

- - - - 447 209 239 137 135 124 52 149 77 203 135 187 126- - - - 38% 33% 44% 33% 33% 46% 62% 56% 43% 29% 34% 41% 39%

F HI HIj MN N oNo

- - - - 1173 634 539 414 406 269 84 267 179 698 396 454 322- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 9Q9 Do you think your income in 2020 will be lower, higher or about the same as it was in 2019?





- - - 2016 1993 961 1032 546 539 478 430 754 359 790 727 712 554Unweighted Base-** -** -** 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561Weighted Base

- - - 791 862 391 471 305 256 195 106 241 168 422 260 353 249- - - 39% 43% 41% 45% 52% 51% 40% 26% 39% 51% 44% 38% 47% 44%

D JK JK K L l O oLower

- - - 864 816 372 444 169 157 214 277 295 134 335 292 288 236- - - 43% 41% 39% 43% 29% 31% 44% 67% 48% 40% 35% 43% 38% 42%

HI HIJ mNAbout the same

- - - 362 315 189 126 117 93 76 30 80 30 196 131 109 76- - - 18% 16% 20% 12% 20% 18% 16% 7% 13% 9% 21% 19% 14% 14%

G K K K LM pQHigher

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 10EMP05_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 paymentBase: All Respondents





- - - - 387 215 172 160 135 71 21 134 53 196 130 145 112- - - - 19% 23% 17% 27% 27% 15% 5% 22% 16% 21% 19% 19% 20%

G JK JK K mYes

- - - - 1606 737 869 431 370 413 391 482 280 758 553 605 448- - - - 81% 77% 83% 73% 73% 85% 95% 78% 84% 79% 81% 81% 80%

F HI HIJ lNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Missed (or will soon miss) a bill paymentBase: All Respondents





- - - - 543 272 270 209 192 100 43 200 89 245 182 214 147- - - - 27% 29% 26% 35% 38% 21% 10% 32% 27% 26% 27% 29% 26%

JK JK K NYes

- - - - 1450 680 770 382 314 385 370 416 244 708 501 536 414- - - - 73% 71% 74% 65% 62% 79% 90% 68% 73% 74% 73% 71% 74%

HI HIJ LNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Provided financial support for a family memberBase: All Respondents





- - - - 560 311 248 210 169 99 82 151 80 308 208 204 149- - - - 28% 33% 24% 36% 33% 21% 20% 25% 24% 32% 30% 27% 27%

G JK JK LMYes

- - - - 1433 641 792 381 336 385 331 465 253 645 475 546 412- - - - 72% 67% 76% 64% 67% 79% 80% 75% 76% 68% 70% 73% 73%

F HI HI N NNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Provided financial support for a friendBase: All Respondents





- - - - 383 249 135 159 132 52 40 106 48 222 144 144 95- - - - 19% 26% 13% 27% 26% 11% 10% 17% 14% 23% 21% 19% 17%

G JK JK LMYes

- - - - 1610 704 906 432 373 433 372 510 285 731 539 605 466- - - - 81% 74% 87% 73% 74% 89% 90% 83% 86% 77% 79% 81% 83%

F HI HI N NNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Sought out new or additional sources of incomeBase: All Respondents





- - - - 752 418 334 311 248 141 52 238 120 369 242 269 241- - - - 38% 44% 32% 53% 49% 29% 13% 39% 36% 39% 36% 36% 43%

G JK JK K OPYes

- - - - 1241 534 707 280 257 343 361 377 212 584 440 481 320- - - - 62% 56% 68% 47% 51% 71% 87% 61% 64% 61% 64% 64% 57%

F HI HIJ Q QNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost income partiallyBase: All Respondents





- - - - 831 414 417 312 244 174 101 249 134 421 270 314 246- - - - 42% 43% 40% 53% 48% 36% 24% 40% 40% 44% 40% 42% 44%

JK JK KYes

- - - - 1162 538 624 279 262 311 311 367 198 533 412 436 314- - - - 58% 57% 60% 47% 52% 64% 76% 60% 60% 56% 60% 58% 56%

HI HIJNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost income entirelyBase: All Respondents





- - - - 378 223 155 156 125 73 24 108 51 206 131 140 108- - - - 19% 23% 15% 26% 25% 15% 6% 18% 15% 22% 19% 19% 19%

G JK JK K MYes

- - - - 1615 729 886 434 381 411 388 507 282 747 551 610 453- - - - 81% 77% 85% 74% 75% 85% 94% 82% 85% 78% 81% 81% 81%

F HI HIJ NNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Accumulated more debt than normalBase: All Respondents





- - - - 537 298 239 193 173 116 55 158 79 282 184 212 141- - - - 27% 31% 23% 33% 34% 24% 13% 26% 24% 30% 27% 28% 25%

G JK JK K mYes

- - - - 1456 654 802 398 332 369 357 457 254 671 499 538 420- - - - 73% 69% 77% 67% 66% 76% 87% 74% 76% 70% 73% 72% 75%

F HI HIJ nNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Stopped or cut back on retirement savingsBase: All Respondents





- - - - 649 361 288 236 187 145 81 176 97 356 235 224 190- - - - 33% 38% 28% 40% 37% 30% 20% 29% 29% 37% 34% 30% 34%

G JK jK K LMYes

- - - - 1344 591 753 355 318 340 331 440 236 598 447 526 370- - - - 67% 62% 72% 60% 63% 70% 80% 71% 71% 63% 66% 70% 66%

F Hi HIJ N NNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 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)Base: All Respondents





- - - - 762 393 369 281 222 177 82 223 118 394 266 272 223- - - - 38% 41% 35% 48% 44% 37% 20% 36% 35% 41% 39% 36% 40%

G JK jK KYes

- - - - 1231 559 672 310 283 307 331 392 215 560 416 477 338- - - - 62% 59% 65% 52% 56% 63% 80% 64% 65% 59% 61% 64% 60%

F Hi HIJNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 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)Base: All Respondents





- - - - 325 207 117 134 122 50 19 67 36 217 118 112 94- - - - 16% 22% 11% 23% 24% 10% 5% 11% 11% 23% 17% 15% 17%

G JK JK K LMYes

- - - - 1668 745 924 457 383 434 394 548 297 736 564 637 467- - - - 84% 78% 89% 77% 76% 90% 95% 89% 89% 77% 83% 85% 83%

F HI HIJ N NNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I have been impacted financially in some other wayBase: All Respondents





- - - - 946 461 485 283 273 215 175 276 159 472 329 350 267- - - - 47% 48% 47% 48% 54% 44% 43% 45% 48% 49% 48% 47% 48%

JKYes

- - - - 1047 491 556 308 232 270 237 340 174 482 353 400 294- - - - 53% 52% 53% 52% 46% 56% 57% 55% 52% 51% 52% 53% 52%

I INo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I have not been impacted financiallyBase: All Respondents





- - - - 755 385 370 219 194 174 168 241 112 365 271 281 202- - - - 38% 40% 36% 37% 38% 36% 41% 39% 34% 38% 40% 37% 36%

gYes

- - - - 1238 567 671 372 312 310 245 375 221 588 411 469 358- - - - 62% 60% 64% 63% 62% 64% 59% 61% 66% 62% 60% 63% 64%

fNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 23EMP06 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.Base: All Respondents





- - - - 212 47 165 54 50 78 30 108 40 45 62 81 69- - - - 11% 5% 16% 9% 10% 16% 7% 17% 12% 5% 9% 11% 12%

F HIK mN NWould not be able to liveon amount saved

- - - - 1200 575 625 406 343 275 176 388 195 570 381 478 341- - - - 60% 60% 60% 69% 68% 57% 43% 63% 58% 60% 56% 64% 61%

JK JK K O1-6

- - - - 141 90 51 51 37 23 31 23 23 88 60 40 41- - - - 7% 9% 5% 9% 7% 5% 8% 4% 7% 9% 9% 5% 7%

G j l L P7-11

- - - - 190 106 84 50 38 49 54 44 34 104 77 71 41- - - - 10% 11% 8% 8% 7% 10% 13% 7% 10% 11% 11% 10% 7%

g hI L qA year (12)

- - - - 35 22 12 7 9 6 11 8 6 20 10 19 6- - - - 2% 2% 1% 1% 2% 1% 3% 1% 2% 2% 1% 2% 1%

13-18

- - - - 11 8 3 2 3 3 4 3 2 6 6 3 2- - - - 1% 1% * * 1% 1% 1% 1% 1% 1% 1% * *

19-23

- - - - 58 32 26 7 8 14 30 18 7 32 28 12 18- - - - 3% 3% 2% 1% 2% 3% 7% 3% 2% 3% 4% 2% 3%

HIJ PTwo years (24)

- - - - 2 1 1 1 1 - * * - 2 1 * 1- - - - * * * * * - * * - * * * *

25-29

- - - - 19 16 3 3 1 8 7 1 3 14 5 7 6- - - - 1% 2% * 1% * 2% 2% * 1% 1% 1% 1% 1%

G I i L30-35

- - - - 125 54 70 12 16 28 69 22 22 73 52 37 35- - - - 6% 6% 7% 2% 3% 6% 17% 4% 7% 8% 8% 5% 6%

Hi HIJ L L pThree years (36)

- - - - 7.4 8.2 6.6 5.3 5.7 7.0 12.8 5.3 7.2 8.8 8.4 6.6 7.2G HI HIJ L LM Pq

Mean (Incl. 0)

- - - - 9.41 9.28 9.48 6.47 7.26 9.54 12.56 7.85 9.50 9.99 9.95 8.76 9.49Std. Dev. (Incl. 0)- - - - 0.21 0.30 0.30 0.28 0.31 0.44 0.61 0.29 0.50 0.36 0.37 0.33 0.40Std. Err. (Incl. 0)- - - - 4 5 3 3 3 3 6 3 3 5 5 3 4Median (Incl. 0)- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 24REV01 Are you planning any major purchases once things return to normal and businesses re-open? Please select all that apply.






- - - 479 616 326 290 174 185 136 122 112 95 382 237 217 162- - - 24% 31% 34% 28% 29% 37% 28% 30% 18% 29% 40% 35% 29% 29%

D G HJk L LM pqGoing onvacation/travelling

- - - 386 533 283 250 228 173 91 41 129 69 318 184 203 146- - - 19% 27% 30% 24% 39% 34% 19% 10% 21% 21% 33% 27% 27% 26%

D G JK JK K LMBuying new clothes

- - - 338 389 221 167 147 146 54 42 91 57 229 151 122 115- - - 17% 19% 23% 16% 25% 29% 11% 10% 15% 17% 24% 22% 16% 21%

d G JK JK LM PBuying new householdgoods, furniture orappliances

- - - 238 326 170 156 131 99 58 38 70 37 206 131 108 87- - - 12% 16% 18% 15% 22% 20% 12% 9% 11% 11% 22% 19% 14% 16%

D JK JK LM pBuying gifts for myfriends/family

- - - 219 320 178 142 118 101 69 31 86 36 187 110 110 100- - - 11% 16% 19% 14% 20% 20% 14% 8% 14% 11% 20% 16% 15% 18%

D G jK jK K LMBuying a car

- - - 237 316 179 136 111 94 70 42 61 43 201 129 110 76- - - 12% 16% 19% 13% 19% 19% 14% 10% 10% 13% 21% 19% 15% 14%

D G K K LM pQAttending a concert orsporting event

- - - 74 89 30 59 33 10 29 17 23 11 54 22 31 36- - - 4% 4% 3% 6% 6% 2% 6% 4% 4% 3% 6% 3% 4% 6%

F I I OOther major purchase

- - - 1020 818 333 484 177 187 243 211 336 147 287 260 316 242- - - 51% 41% 35% 47% 30% 37% 50% 51% 55% 44% 30% 38% 42% 43%

E F h HI HI MN NNot planning a purchase

- - - 2991 3406 1721 1685 1118 993 749 545 909 494 1865 1224 1216 966- - - 148% 171% 181% 162% 189% 197% 155% 132% 148% 148% 196% 179% 162% 172%

Sigma



6 Apr 2020Table 25REV02 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.Base: All Respondents





- - - 1182 1118 522 597 400 320 244 154 329 194 549 367 450 302- - - 59% 56% 55% 57% 68% 63% 50% 37% 53% 58% 58% 54% 60% 54%

JK JK K oqKeep more money insavings

- - - 643 652 309 344 194 177 159 123 198 105 318 250 241 161- - - 32% 33% 32% 33% 33% 35% 33% 30% 32% 32% 33% 37% 32% 29%

QStockpile unperishablefoods

- - - 372 352 216 136 169 129 45 9 88 37 215 132 126 94- - - 18% 18% 23% 13% 29% 26% 9% 2% 14% 11% 23% 19% 17% 17%

G JK JK K LMMake improvements to myliving situation (e.g., moveto a larger residence,purchase better furniture)

- - - 220 250 165 86 110 77 45 18 70 44 129 126 60 64- - - 11% 13% 17% 8% 19% 15% 9% 4% 11% 13% 14% 18% 8% 11%

G JK JK K PQPurchase a gun

- - - 147 188 132 56 63 82 23 20 31 19 135 69 73 45- - - 7% 9% 14% 5% 11% 16% 5% 5% 5% 6% 14% 10% 10% 8%

d G JK HJK LMRemodel my kitchen

- - - 85 63 38 24 14 12 21 16 15 11 32 16 24 23- - - 4% 3% 4% 2% 2% 2% 4% 4% 2% 3% 3% 2% 3% 4%

gSomething else

- - - 453 513 214 299 81 97 162 173 184 85 214 175 168 170- - - 22% 26% 22% 29% 14% 19% 33% 42% 30% 26% 22% 26% 22% 30%

d F H HI HIJ N PNone of these

- - - 3101 3136 1595 1541 1030 893 699 514 916 495 1591 1134 1142 860- - - 154% 157% 168% 148% 174% 177% 144% 125% 149% 149% 167% 166% 152% 153%

Sigma



6 Apr 2020Table 26Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of ConcernedBase: All Respondents




2050 2019 2023 - 1993 961 1032 546 539 478 430 754 359 790 727 712 554Unweighted Base2050 2019 2023 -** 1993 952 1041 591 505 484 412 616 333 953 683 750 561Weighted Base

1730 1705 1845 - 1820 857 964 517 465 450 389 550 306 881 617 697 50684% 84% 91% - 91% 90% 93% 87% 92% 93% 94% 89% 92% 92% 90% 93% 90%

AB AB h H H lThe American economy

1771 1747 1827 - 1800 838 962 515 452 448 384 558 310 849 620 688 49186% 87% 90% - 90% 88% 92% 87% 89% 93% 93% 91% 93% 89% 91% 92% 88%

AB AB F H H n QThe health of your olderfriends and relatives

1616 1647 1759 - 1743 804 939 484 440 433 386 529 304 826 589 676 47979% 82% 87% - 87% 84% 90% 82% 87% 89% 94% 86% 91% 87% 86% 90% 85%

a AB AB F h H HIj Ln oQThe health of the broaderAmerican populace

1330 1336 1523 - 1543 708 835 402 420 374 347 497 267 712 523 612 40865% 66% 75% - 77% 74% 80% 68% 83% 77% 84% 81% 80% 75% 77% 82% 73%

AB AB F Hj H HJ N n oQYour personal health

- - - - 1494 693 801 450 397 364 284 466 262 693 475 589 430- - - - 75% 73% 77% 76% 79% 75% 69% 76% 79% 73% 70% 79% 77%

f K K n O OYour personal finances



6 Apr 2020Table 27Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Not At All/Not Very ConcernedBase: All Respondents





- - - - 499 259 240 141 108 121 128 149 71 260 208 160 130- - - - 25% 27% 23% 24% 21% 25% 31% 24% 21% 27% 30% 21% 23%

g HI m PQYour personal finances

720 683 500 - 450 244 206 189 85 111 65 119 66 241 160 138 15335% 34% 25% - 23% 26% 20% 32% 17% 23% 16% 19% 20% 25% 23% 18% 27%CE CE G IJK iK Lm p P

Your personal health

434 372 264 - 250 148 102 107 65 51 26 86 29 127 94 74 8221% 18% 13% - 13% 16% 10% 18% 13% 11% 6% 14% 9% 13% 14% 10% 15%

bCE CE G iJK K k M m p PThe health of the broaderAmerican populace

279 272 196 - 193 114 79 75 54 36 28 58 23 105 62 61 7014% 13% 10% - 10% 12% 8% 13% 11% 7% 7% 9% 7% 11% 9% 8% 12%CE CE G JK m P

The health of your olderfriends and relatives

320 314 178 - 173 95 77 74 41 35 23 66 27 72 65 53 5516% 16% 9% - 9% 10% 7% 13% 8% 7% 6% 11% 8% 8% 10% 7% 10%CE CE iJK n

The American economy



6 Apr 2020Table 28Q15_1 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Your personal healthBase: All Respondents





1330 1336 1523 - 1543 708 835 402 420 374 347 497 267 712 523 612 40865% 66% 75% - 77% 74% 80% 68% 83% 77% 84% 81% 80% 75% 77% 82% 73%

AB AB F Hj H HJ N n oQVery/SomewhatConcerned (Net)

624 660 800 - 862 392 470 232 249 196 186 281 136 410 247 390 22630% 33% 40% - 43% 41% 45% 39% 49% 40% 45% 46% 41% 43% 36% 52% 40%

AB ABc HJ OQ Very concerned

706 676 723 - 681 316 365 170 171 178 162 216 132 302 276 222 18334% 33% 36% - 34% 33% 35% 29% 34% 37% 39% 35% 40% 32% 40% 30% 33%

H H N PQ Somewhat concerned

720 683 500 - 450 244 206 189 85 111 65 119 66 241 160 138 15335% 34% 25% - 23% 26% 20% 32% 17% 23% 16% 19% 20% 25% 23% 18% 27%CE CE G IJK iK Lm p P

Not At All/Not VeryConcerned (Net)

535 487 359 - 331 177 154 135 63 82 51 89 54 167 113 101 11626% 24% 18% - 17% 19% 15% 23% 12% 17% 12% 14% 16% 18% 17% 14% 21%CE CE g IjK P

Not very concerned

186 197 141 - 119 67 52 53 22 29 15 30 11 74 47 36 369% 10% 7% - 6% 7% 5% 9% 4% 6% 4% 5% 3% 8% 7% 5% 6%

cE CE IK lM Not at all concerned

2050 2019 2023 - 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The health of your older friends and relativesBase: All Respondents





1771 1747 1827 - 1800 838 962 515 452 448 384 558 310 849 620 688 49186% 87% 90% - 90% 88% 92% 87% 89% 93% 93% 91% 93% 89% 91% 92% 88%

AB AB F H H n QVery/SomewhatConcerned (Net)

1034 1089 1251 - 1211 518 693 371 307 287 246 368 204 582 384 513 31450% 54% 62% - 61% 54% 67% 63% 61% 59% 60% 60% 61% 61% 56% 68% 56%

a AB AB F OQ Very concerned

737 658 576 - 588 319 269 144 144 161 138 189 106 267 236 176 17636% 33% 28% - 30% 34% 26% 24% 29% 33% 33% 31% 32% 28% 35% 23% 31%

bCE C G H H P P Somewhat concerned

279 272 196 - 193 114 79 75 54 36 28 58 23 105 62 61 7014% 13% 10% - 10% 12% 8% 13% 11% 7% 7% 9% 7% 11% 9% 8% 12%CE CE G JK m P


183 176 129 - 136 75 61 50 44 25 17 36 15 78 41 41 559% 9% 6% - 7% 8% 6% 9% 9% 5% 4% 6% 5% 8% 6% 5% 10%

Ce Ce jK jK m OP Not very concerned

96 95 67 - 57 39 18 25 9 11 11 22 7 27 21 21 155% 5% 3% - 3% 4% 2% 4% 2% 2% 3% 4% 2% 3% 3% 3% 3%

cE cE G i Not at all concerned

2050 2019 2023 - 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The health of the broader American populaceBase: All Respondents





1616 1647 1759 - 1743 804 939 484 440 433 386 529 304 826 589 676 47979% 82% 87% - 87% 84% 90% 82% 87% 89% 94% 86% 91% 87% 86% 90% 85%

a AB AB F h H HIj Ln oQVery/SomewhatConcerned (Net)

690 774 998 - 1011 421 589 285 268 247 210 306 177 484 311 436 26434% 38% 49% - 51% 44% 57% 48% 53% 51% 51% 50% 53% 51% 46% 58% 47%

A AB AB F OQ Very concerned

926 872 761 - 733 383 350 199 172 186 176 224 126 342 278 239 21545% 43% 38% - 37% 40% 34% 34% 34% 38% 43% 36% 38% 36% 41% 32% 38%CE CE G HI P p

Somewhat concerned

434 372 264 - 250 148 102 107 65 51 26 86 29 127 94 74 8221% 18% 13% - 13% 16% 10% 18% 13% 11% 6% 14% 9% 13% 14% 10% 15%

bCE CE G iJK K k M m p PNot At All/Not VeryConcerned (Net)

314 252 198 - 176 100 76 80 41 38 16 53 22 94 74 42 6015% 12% 10% - 9% 10% 7% 14% 8% 8% 4% 9% 6% 10% 11% 6% 11%

BCE CE G IJK K K P P Not very concerned

120 120 65 - 74 48 26 26 24 13 10 33 8 33 20 32 226% 6% 3% - 4% 5% 2% 4% 5% 3% 2% 5% 2% 3% 3% 4% 4%

CE CE G m Not at all concerned

2050 2019 2023 - 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The American economyBase: All Respondents





1730 1705 1845 - 1820 857 964 517 465 450 389 550 306 881 617 697 50684% 84% 91% - 91% 90% 93% 87% 92% 93% 94% 89% 92% 92% 90% 93% 90%

AB AB h H H lVery/SomewhatConcerned (Net)

893 986 1287 - 1251 556 695 313 330 329 280 350 223 627 418 510 32444% 49% 64% - 63% 58% 67% 53% 65% 68% 68% 57% 67% 66% 61% 68% 58%

A AB AB F H H H L L OQ Very concerned

836 719 558 - 569 301 268 204 135 121 110 200 82 254 199 187 18241% 36% 28% - 29% 32% 26% 34% 27% 25% 27% 33% 25% 27% 29% 25% 33%

BCE CE G IJK MN P Somewhat concerned

320 314 178 - 173 95 77 74 41 35 23 66 27 72 65 53 5516% 16% 9% - 9% 10% 7% 13% 8% 7% 6% 11% 8% 8% 10% 7% 10%CE CE iJK n


225 220 99 - 116 59 57 49 28 21 18 39 23 49 43 38 3511% 11% 5% - 6% 6% 5% 8% 5% 4% 4% 6% 7% 5% 6% 5% 6%CE CE Jk

Not very concerned

95 94 80 - 57 37 20 25 13 14 5 27 4 23 22 15 195% 5% 4% - 3% 4% 2% 4% 3% 3% 1% 4% 1% 2% 3% 2% 3%E E G K Mn

Not at all concerned

2050 2019 2023 - 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Your personal financesBase: All Respondents





- - - - 1494 693 801 450 397 364 284 466 262 693 475 589 430- - - - 75% 73% 77% 76% 79% 75% 69% 76% 79% 73% 70% 79% 77%

f K K n O OVery/SomewhatConcerned (Net)

- - - - 870 393 477 265 259 207 140 279 146 405 268 378 224- - - - 44% 41% 46% 45% 51% 43% 34% 45% 44% 42% 39% 50% 40%

K hJK K OQ Very concerned

- - - - 624 300 324 185 139 157 144 188 116 288 207 211 206- - - - 31% 31% 31% 31% 27% 32% 35% 31% 35% 30% 30% 28% 37%

i oP Somewhat concerned

- - - - 499 259 240 141 108 121 128 149 71 260 208 160 130- - - - 25% 27% 23% 24% 21% 25% 31% 24% 21% 27% 30% 21% 23%

g HI m PQNot At All/Not VeryConcerned (Net)

- - - - 354 187 167 99 80 81 94 98 46 193 145 117 92- - - - 18% 20% 16% 17% 16% 17% 23% 16% 14% 20% 21% 16% 16%

g hIj lM Pq Not very concerned

- - - - 144 72 73 43 28 40 34 51 25 67 63 44 38- - - - 7% 8% 7% 7% 6% 8% 8% 8% 8% 7% 9% 6% 7%

p Not at all concerned

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 33Q18 Which of the following is true for you?





2050 2019 2023 2016 1993 961 1032 546 539 478 430 754 359 790 727 712 554Unweighted Base2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561Weighted Base

563 572 712 865 1113 513 599 297 304 248 263 367 180 513 359 460 29427% 28% 35% 43% 56% 54% 58% 50% 60% 51% 64% 60% 54% 54% 53% 61% 52%

AB ABC ABCD HJ HJ n OQI fear I could die as aresult of contractingcoronavirus

1487 1447 1311 1151 880 439 441 294 201 236 149 249 153 440 324 290 26773% 72% 65% 57% 44% 46% 42% 50% 40% 49% 36% 40% 46% 46% 47% 39% 48%

CDE CDE DE E IK IK l P PI do not fear that I coulddie as a result ofcontracting coronavirus

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 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/QOverlap formulae used.


6 Apr 2020Table 34Q21 Which of the following is closest to your view of people’s reaction to the coronavirus (COVID-19) outbreak?






942 1012 1236 1375 1571 711 860 440 389 378 364 490 269 741 508 657 40746% 50% 61% 68% 79% 75% 83% 74% 77% 78% 88% 80% 81% 78% 74% 88% 72%

A AB ABC ABCD F HIJ OQI think the amount of fearis sensible given howserious the pandemic hasbecome

1108 1007 787 641 422 241 181 151 116 106 48 126 64 212 175 93 15454% 50% 39% 32% 21% 25% 17% 26% 23% 22% 12% 20% 19% 22% 26% 12% 28%

BCDE CDE DE E G K K K P PThe amount of fear isirrational, people areoverreacting

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 35Q15 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 837 961 528 456 430 383 560 299 861 612 700 486- - - 88% 90% 88% 92% 89% 90% 89% 93% 91% 90% 90% 90% 93% 87%

F j OQQuarantine indoors

- - - 1776 1781 827 954 506 452 435 388 540 298 861 620 678 484- - - 88% 89% 87% 92% 86% 89% 90% 94% 88% 89% 90% 91% 90% 86%

F HIj Q qStop all travel domestically

- - - 1786 1713 796 917 479 432 433 369 524 303 814 599 651 463- - - 89% 86% 84% 88% 81% 85% 89% 89% 85% 91% 85% 88% 87% 83%

E F H H LN Q qStop hoarding items (e.g.,toilet paper, cleaningproducts)

- - - 1447 1498 714 784 409 386 364 339 440 250 750 503 602 394- - - 72% 75% 75% 75% 69% 76% 75% 82% 72% 75% 79% 74% 80% 70%

d H h HiJ L OQBe put on a rationsprogram for certain goods

- - - 866 849 462 386 308 238 160 142 208 125 497 313 319 217- - - 43% 43% 49% 37% 52% 47% 33% 35% 34% 37% 52% 46% 43% 39%

G JK JK LM QDonate 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/QOverlap formulae used. ** very small base (under 30) ineligible for sig testing


6 Apr 2020Table 36Q15 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 490 655 283 268 324 270 407 208 457 370 431 344- - - 57% 57% 51% 63% 48% 53% 67% 65% 66% 63% 48% 54% 57% 61%

F HI HI N N ODonate my portion of thestimulus package to ahospital

- - - 569 495 238 257 182 120 121 73 175 83 203 180 148 167- - - 28% 25% 25% 25% 31% 24% 25% 18% 28% 25% 21% 26% 20% 30%

e IjK k K N P PBe put on a rationsprogram for certain goods

- - - 230 280 156 124 111 74 51 44 92 30 140 84 98 98- - - 11% 14% 16% 12% 19% 15% 11% 11% 15% 9% 15% 12% 13% 17%

D G JK M M OpStop hoarding items (e.g.,toilet paper, cleaningproducts)

- - - 240 212 125 86 85 53 49 24 76 35 92 63 72 77- - - 12% 11% 13% 8% 14% 11% 10% 6% 12% 11% 10% 9% 10% 14%

G K K k OpStop all travel domestically

- - - 239 196 115 80 63 50 54 29 55 34 93 71 50 75- - - 12% 10% 12% 8% 11% 10% 11% 7% 9% 10% 10% 10% 7% 13%

G k P PQuarantine indoors



6 Apr 2020Table 37Q15_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 837 961 528 456 430 383 560 299 861 612 700 486- - - 88% 90% 88% 92% 89% 90% 89% 93% 91% 90% 90% 90% 93% 87%

F j OQWilling to do

- - - 239 196 115 80 63 50 54 29 55 34 93 71 50 75- - - 12% 10% 12% 8% 11% 10% 11% 7% 9% 10% 10% 10% 7% 13%

G k P PNot willing to do

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 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 796 917 479 432 433 369 524 303 814 599 651 463- - - 89% 86% 84% 88% 81% 85% 89% 89% 85% 91% 85% 88% 87% 83%

E F H H LN Q qWilling to do

- - - 230 280 156 124 111 74 51 44 92 30 140 84 98 98- - - 11% 14% 16% 12% 19% 15% 11% 11% 15% 9% 15% 12% 13% 17%

D G JK M M OpNot willing to do

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 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 714 784 409 386 364 339 440 250 750 503 602 394- - - 72% 75% 75% 75% 69% 76% 75% 82% 72% 75% 79% 74% 80% 70%

d H h HiJ L OQWilling to do

- - - 569 495 238 257 182 120 121 73 175 83 203 180 148 167- - - 28% 25% 25% 25% 31% 24% 25% 18% 28% 25% 21% 26% 20% 30%

e IjK k K N P PNot willing to do

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?Stop all travel domestically






- - - 1776 1781 827 954 506 452 435 388 540 298 861 620 678 484- - - 88% 89% 87% 92% 86% 89% 90% 94% 88% 89% 90% 91% 90% 86%

F HIj Q qWilling to do

- - - 240 212 125 86 85 53 49 24 76 35 92 63 72 77- - - 12% 11% 13% 8% 14% 11% 10% 6% 12% 11% 10% 9% 10% 14%

G K K k OpNot willing to do

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 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






- - - 866 849 462 386 308 238 160 142 208 125 497 313 319 217- - - 43% 43% 49% 37% 52% 47% 33% 35% 34% 37% 52% 46% 43% 39%

G JK JK LM QWilling to do

- - - 1150 1144 490 655 283 268 324 270 407 208 457 370 431 344- - - 57% 57% 51% 63% 48% 53% 67% 65% 66% 63% 48% 54% 57% 61%

F HI HI N N ONot willing to do

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 42FR01_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 homeBase: All Respondents





- - - - 1076 508 568 386 307 216 166 309 181 548 352 420 303- - - - 54% 53% 55% 65% 61% 45% 40% 50% 55% 58% 52% 56% 54%

JK JK LYes

- - - - 917 444 473 205 198 269 246 307 151 405 331 329 257- - - - 46% 47% 45% 35% 39% 55% 60% 50% 45% 42% 48% 44% 46%

HI HI NNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Claustrophobic- unable to escape my homeBase: All Respondents





- - - - 695 344 351 254 207 142 92 202 112 357 244 264 188- - - - 35% 36% 34% 43% 41% 29% 22% 33% 34% 37% 36% 35% 33%

JK JK kYes

- - - - 1298 608 690 337 299 343 320 414 221 596 439 486 373- - - - 65% 64% 66% 57% 59% 71% 78% 67% 66% 63% 64% 65% 67%

HI HIjNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 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 myselfBase: All Respondents





- - - - 972 465 507 349 304 182 137 285 145 500 358 380 233- - - - 49% 49% 49% 59% 60% 38% 33% 46% 44% 52% 52% 51% 42%

JK JK lM Q QYes

- - - - 1021 487 534 241 201 303 276 330 187 453 324 370 327- - - - 51% 51% 51% 41% 40% 62% 67% 54% 56% 48% 48% 49% 58%

HI HI n N OPNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Appreciative-to be around people I truly care aboutBase: All Respondents





- - - - 1549 706 842 441 404 365 339 459 255 767 547 599 402- - - - 78% 74% 81% 75% 80% 75% 82% 75% 77% 80% 80% 80% 72%

F Hj L Q QYes

- - - - 444 246 199 150 102 119 74 157 78 186 135 151 158- - - - 22% 26% 19% 25% 20% 25% 18% 25% 23% 20% 20% 20% 28%

G K k N OPNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 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 aboutBase: All Respondents





- - - - 1529 689 840 422 378 385 345 473 241 746 549 580 400- - - - 77% 72% 81% 71% 75% 79% 84% 77% 72% 78% 80% 77% 71%

F H HI m Q QYes

- - - - 464 263 201 169 128 100 68 143 92 207 134 169 161- - - - 23% 28% 19% 29% 25% 21% 16% 23% 28% 22% 20% 23% 29%

G JK K n OPNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lonely-feeling isolated from my friends/familyBase: All Respondents





- - - - 974 462 512 349 259 190 176 275 148 503 310 383 280- - - - 49% 48% 49% 59% 51% 39% 43% 45% 44% 53% 45% 51% 50%

IJK JK LM oYes

- - - - 1019 490 529 242 247 295 236 340 185 450 373 367 280- - - - 51% 52% 51% 41% 49% 61% 57% 55% 56% 47% 55% 49% 50%

H HI HI N N pNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 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 familyBase: All Respondents





- - - - 728 367 361 308 239 125 56 193 99 421 246 292 191- - - - 37% 39% 35% 52% 47% 26% 14% 31% 30% 44% 36% 39% 34%

JK JK K LMYes

- - - - 1265 585 680 283 267 359 356 422 234 533 437 458 370- - - - 63% 61% 65% 48% 53% 74% 86% 69% 70% 56% 64% 61% 66%

HI HIJ N NNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Angry- upset that I don’t know when this will endBase: All Respondents





- - - - 1068 485 583 388 257 231 192 321 194 502 357 410 301- - - - 54% 51% 56% 66% 51% 48% 47% 52% 58% 53% 52% 55% 54%

f IJKYes

- - - - 925 467 458 203 248 253 220 294 139 451 325 339 260- - - - 46% 49% 44% 34% 49% 52% 53% 48% 42% 47% 48% 45% 46%

g H H HNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 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 familyBase: All Respondents





- - - - 649 334 315 274 188 123 63 183 82 360 221 243 185- - - - 33% 35% 30% 46% 37% 25% 15% 30% 25% 38% 32% 32% 33%

g IJK JK K LMYes

- - - - 1344 618 726 317 317 361 349 432 251 593 461 507 376- - - - 67% 65% 70% 54% 63% 75% 85% 70% 75% 62% 68% 68% 67%

f H HI HIJ N NNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 51FR02_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




- - - - 731 440 291 261 301 136 33 150 123 445 282 259 190Unweighted Base-** -** -** -** 726 425 300 277 272 145* 32** 118* 101* 495 262 267 197Weighted Base

- - - - 390 242 148 145 145 85 16 62 59 263 135 138 118- - - - 54% 57% 49% 52% 53% 58% 50% 53% 59% 53% 52% 52% 60%

Roll out of bed and startworking

- - - - 335 183 152 132 127 60 16 55 42 232 127 130 79- - - - 46% 43% 51% 48% 47% 42% 50% 47% 41% 47% 48% 48% 40%

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

- - - - 726 425 300 277 272 145 32 118 101 495 262 267 197- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Get properly dressed/Wear PJs/sweatpantsBase: Working From Home Since The Coronavirus Pandemic





- - - - 370 233 137 143 137 75 15 67 46 250 131 122 118- - - - 51% 55% 46% 52% 50% 51% 47% 57% 45% 51% 50% 45% 60%

g oPGet properly dressed

- - - - 356 192 164 134 134 71 17 51 56 245 131 146 79- - - - 49% 45% 54% 48% 50% 49% 53% 43% 55% 49% 50% 55% 40%

f q QWear PJs/sweatpants

- - - - 726 425 300 277 272 145 32 118 101 495 262 267 197- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Take a shower daily/Skip a couple of days of showeringBase: Working From Home Since The Coronavirus Pandemic





- - - - 364 206 159 133 130 84 17 60 55 243 126 137 101- - - - 50% 48% 53% 48% 48% 58% 52% 51% 55% 49% 48% 51% 51%

Skip a couple of days ofshowering

- - - - 361 220 142 144 141 61 15 58 46 252 135 131 95- - - - 50% 52% 47% 52% 52% 42% 48% 49% 45% 51% 52% 49% 49%

Take a shower daily

- - - - 726 425 300 277 272 145 32 118 101 495 262 267 197- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Work more/Work lessBase: Working From Home Since The Coronavirus Pandemic





- - - - 408 232 176 160 156 71 21 57 55 291 162 141 106- - - - 56% 55% 59% 58% 57% 49% 66% 49% 54% 59% 62% 53% 54%

lWork more

- - - - 318 193 124 117 116 74 11 61 46 204 100 127 91- - - - 44% 45% 41% 42% 43% 51% 34% 51% 46% 41% 38% 47% 46%

nWork less

- - - - 726 425 300 277 272 145 32 118 101 495 262 267 197- - - - 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 neededBase: Working From Home Since The Coronavirus Pandemic





- - - - 371 217 154 143 151 63 14 64 48 252 143 147 81- - - - 51% 51% 51% 52% 55% 43% 44% 54% 48% 51% 55% 55% 41%

j Q QMaintain clear timeboundaries (e.g., 9-5)

- - - - 355 208 146 134 121 82 18 54 53 243 119 121 115- - - - 49% 49% 49% 48% 45% 57% 56% 46% 52% 49% 45% 45% 59%

i OPWork anytime that isneeded

- - - - 726 425 300 277 272 145 32 118 101 495 262 267 197- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 56FR03 Are you a parent who is now staying at home with your child(ren)?

Base: Parent





- - - - 641 314 327 190 309 115 27 123 82 429 229 258 154- - - - 58% 62% 55% 84% 84% 41% 12% 43% 49% 70% 56% 61% 58%

g JK JK K LMYes

- - - - 457 190 266 35 61 164 197 165 85 185 184 164 109- - - - 42% 38% 45% 16% 16% 59% 88% 57% 51% 30% 44% 39% 42%

f HI HIJ N NNo

- - - - 1098 504 593 225 370 279 224 288 168 614 413 422 263- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 57FR04_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 kidsBase: Parent





- - - - 593 282 311 172 267 112 41 126 82 378 208 251 134- - - - 54% 56% 52% 77% 72% 40% 18% 44% 49% 61% 50% 60% 51%

JK JK K LM OqYes

- - - - 505 222 283 53 103 166 183 162 86 237 205 171 129- - - - 46% 44% 48% 23% 28% 60% 82% 56% 51% 39% 50% 40% 49%

HI HIJ N N P pNo

- - - - 1098 504 593 225 370 279 224 288 168 614 413 422 263- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Relying on more treats/snacks to keep my kids happyBase: Parent





- - - - 474 231 242 160 230 66 18 110 59 300 178 195 101- - - - 43% 46% 41% 71% 62% 24% 8% 38% 35% 49% 43% 46% 38%

iJK JK K LMYes

- - - - 624 273 351 65 140 213 206 178 109 314 235 227 162- - - - 57% 54% 59% 29% 38% 76% 92% 62% 65% 51% 57% 54% 62%

h HI HIJ N NNo

- - - - 1098 504 593 225 370 279 224 288 168 614 413 422 263- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Frustration with online schooling systemsBase: Parent





- - - - 345 187 158 118 167 48 12 70 47 222 126 145 74- - - - 31% 37% 27% 52% 45% 17% 5% 24% 28% 36% 30% 34% 28%

G JK JK K LYes

- - - - 753 318 435 107 203 231 212 217 121 393 287 277 189- - - - 69% 63% 73% 48% 55% 83% 95% 76% 72% 64% 70% 66% 72%

F HI HIJ NNo

- - - - 1098 504 593 225 370 279 224 288 168 614 413 422 263- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Kids making cameos on video or conference callsBase: Parent





- - - - 386 216 170 117 177 65 27 72 45 263 155 145 86- - - - 35% 43% 29% 52% 48% 23% 12% 25% 27% 43% 37% 34% 33%

G JK JK K LMYes

- - - - 712 288 424 108 193 214 197 216 123 351 258 277 177- - - - 65% 57% 71% 48% 52% 77% 88% 75% 73% 57% 63% 66% 67%

F HI HIJ N NNo

- - - - 1098 504 593 225 370 279 224 288 168 614 413 422 263- - - - 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 breakBase: Parent





- - - - 339 190 149 117 151 58 13 71 41 220 145 127 67- - - - 31% 38% 25% 52% 41% 21% 6% 25% 25% 36% 35% 30% 26%

G IJK JK K LM QYes

- - - - 758 314 444 108 219 221 211 216 126 394 268 294 196- - - - 69% 62% 75% 48% 59% 79% 94% 75% 75% 64% 65% 70% 74%

F H HI HIJ N N ONo

- - - - 1098 504 593 225 370 279 224 288 168 614 413 422 263- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Buying more toys, books or games to preoccupy kidsBase: Parent





- - - - 346 199 147 137 156 37 17 71 30 243 137 133 77- - - - 32% 39% 25% 61% 42% 13% 7% 25% 18% 40% 33% 31% 29%

G IJK JK k LMYes

- - - - 751 305 446 88 214 241 207 217 138 371 276 289 186- - - - 68% 61% 75% 39% 58% 87% 93% 75% 82% 60% 67% 69% 71%

F H HI HIj N NNo

- - - - 1098 504 593 225 370 279 224 288 168 614 413 422 263- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 63FR05 Which of the following would you say you miss the most during this time of virus-related shutdowns? Select the top three.






- - - - 1022 450 572 257 240 259 267 285 194 493 342 390 290- - - - 51% 47% 55% 43% 48% 53% 65% 46% 58% 52% 50% 52% 52%

F H HIJ Ln lDining out at a restaurant /bar

- - - - 976 373 602 280 216 253 227 303 189 437 328 377 271- - - - 49% 39% 58% 47% 43% 52% 55% 49% 57% 46% 48% 50% 48%

F I hI LNGatherings with friendsand family

- - - - 768 307 461 199 174 211 183 279 142 313 255 299 214- - - - 39% 32% 44% 34% 35% 44% 44% 45% 43% 33% 37% 40% 38%

F HI HI N NShopping in stores

- - - - 450 201 249 93 114 127 116 154 68 206 213 144 93- - - - 23% 21% 24% 16% 22% 26% 28% 25% 20% 22% 31% 19% 17%

H H H PQGoing to church

- - - - 395 280 114 102 95 110 88 117 65 195 155 133 106- - - - 20% 29% 11% 17% 19% 23% 21% 19% 20% 20% 23% 18% 19%

G h pWatching sports on TV

- - - - 367 169 198 146 83 76 62 124 76 150 110 142 115- - - - 18% 18% 19% 25% 17% 16% 15% 20% 23% 16% 16% 19% 20%

IJK n NGoing to a socialgathering,

- - - - 315 182 133 104 100 71 40 101 48 151 109 114 91- - - - 16% 19% 13% 18% 20% 15% 10% 16% 14% 16% 16% 15% 16%

G K jK kGoing to a movie theatre

- - - - 305 177 128 110 83 71 41 78 38 178 94 123 88- - - - 15% 19% 12% 19% 16% 15% 10% 13% 12% 19% 14% 16% 16%

G K K k LMGoing to the gym / workout class

- - - - 218 128 91 80 53 44 41 53 31 128 85 66 67- - - - 11% 13% 9% 14% 11% 9% 10% 9% 9% 13% 12% 9% 12%

G j Lm pAttending events likeconcerts, theatre andsporting events

- - - - 217 125 92 60 64 54 39 76 30 106 61 107 50- - - - 11% 13% 9% 10% 13% 11% 9% 12% 9% 11% 9% 14% 9%

G OQGoing to my local coffeeshop

- - - - 217 130 87 77 90 43 6 32 27 152 70 98 49- - - - 11% 14% 8% 13% 18% 9% 1% 5% 8% 16% 10% 13% 9%

G jK hJK K LM qWorking from the office

- - - - 205 119 87 59 63 38 46 36 24 133 76 69 60- - - - 10% 12% 8% 10% 12% 8% 11% 6% 7% 14% 11% 9% 11%

G j LMTraveling on an airplane

- - - - 139 64 75 115 20 3 1 21 21 89 41 50 48- - - - 7% 7% 7% 19% 4% 1% * 3% 6% 9% 6% 7% 9%

IJK JK l LGoing to school oruniversity

- - - - 128 50 78 30 40 31 27 63 15 43 36 45 47- - - - 6% 5% 7% 5% 8% 6% 7% 10% 5% 5% 5% 6% 8%

MN oNone of these

- - - - 5722 2755 2967 1713 1436 1391 1183 1721 968 2774 1975 2159 1589- - - - 287% 289% 285% 290% 284% 287% 287% 280% 291% 291% 289% 288% 283%

Sigma



6 Apr 2020Table 64FR06 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 857 975 520 453 454 405 561 316 874 638 698 496- - - - 92% 90% 94% 88% 90% 94% 98% 91% 95% 92% 93% 93% 88%

F Hi HIJ l Q QCompany donates money,supplies or employee’stime to aid relief incommunities.

- - - - 1817 846 971 514 449 451 403 558 313 868 631 699 488- - - - 91% 89% 93% 87% 89% 93% 98% 91% 94% 91% 92% 93% 87%

F Hi HIJ Q QCompany allowscustomers to forgopayments for up to 6months or offers lowerinterest rates or otherprograms.

- - - - 1812 844 968 517 450 448 397 559 309 864 627 676 508- - - - 91% 89% 93% 88% 89% 92% 96% 91% 93% 91% 92% 90% 91%

F H HIjCompany shifts productionto make equipment orsupplies necessary to fightthe pandemic.

- - - - 1708 805 903 457 426 437 388 528 291 808 608 625 475- - - - 86% 85% 87% 77% 84% 90% 94% 86% 87% 85% 89% 83% 85%

H HI HIj PqCompany promises torelocate theirmanufacturing away fromChina and back to theUnited States.

- - - - 1678 794 884 437 414 435 392 504 294 812 593 626 459- - - - 84% 83% 85% 74% 82% 90% 95% 82% 88% 85% 87% 83% 82%

H HI HIJ L qCompany executivesforgoes salaries, bonusesor other compensation.

- - - - 1120 558 562 323 319 262 216 360 190 524 385 443 291- - - - 56% 59% 54% 55% 63% 54% 52% 59% 57% 55% 56% 59% 52%

HJK QCompany 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/QOverlap formulae used. ** very small base (under 30) ineligible for sig testing


6 Apr 2020Table 65FR06 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 Worse Opinion






- - - - 873 394 479 268 186 222 197 255 143 430 297 307 269- - - - 44% 41% 46% 45% 37% 46% 48% 41% 43% 45% 44% 41% 48%

I I I PCompany harmed by thecrisis asking for a bailoutfrom the federalgovernment.

- - - - 315 158 156 154 91 49 20 112 39 141 90 124 101- - - - 16% 17% 15% 26% 18% 10% 5% 18% 12% 15% 13% 17% 18%

IJK JK K M oCompany executivesforgoes salaries, bonusesor other compensation.

- - - - 285 147 138 134 80 47 24 87 42 145 74 125 86- - - - 14% 15% 13% 23% 16% 10% 6% 14% 13% 15% 11% 17% 15%

IJK JK k O oCompany promises torelocate theirmanufacturing away fromChina and back to theUnited States.

- - - - 181 108 73 74 56 37 15 57 24 89 55 74 52- - - - 9% 11% 7% 12% 11% 8% 4% 9% 7% 9% 8% 10% 9%

G JK K kCompany shifts productionto make equipment orsupplies necessary to fightthe pandemic.

- - - - 176 107 69 77 56 34 9 57 20 85 52 51 73- - - - 9% 11% 7% 13% 11% 7% 2% 9% 6% 9% 8% 7% 13%

G JK jK K OPCompany allowscustomers to forgopayments for up to 6months or offers lowerinterest rates or otherprograms.

- - - - 162 96 66 71 52 31 7 55 17 79 44 52 65- - - - 8% 10% 6% 12% 10% 6% 2% 9% 5% 8% 7% 7% 12%

G JK jK K m OPCompany 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/QOverlap formulae used. ** very small base (under 30) ineligible for sig testing


6 Apr 2020Table 66FR06_1 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?Company executives forgoes salaries, bonuses or other compensation.






- - - - 1678 794 884 437 414 435 392 504 294 812 593 626 459- - - - 84% 83% 85% 74% 82% 90% 95% 82% 88% 85% 87% 83% 82%

H HI HIJ L qStrongly/SomewhatImprove Opinion (Net)

- - - - 993 410 582 219 268 254 252 291 187 465 381 372 239- - - - 50% 43% 56% 37% 53% 52% 61% 47% 56% 49% 56% 50% 43%

F H H HIJ Ln pQ q Strongly improve your opinion

- - - - 685 383 302 218 146 181 140 213 107 348 211 254 220- - - - 34% 40% 29% 37% 29% 37% 34% 35% 32% 36% 31% 34% 39%

G I I O Somewhat improve your opinion

- - - - 315 158 156 154 91 49 20 112 39 141 90 124 101- - - - 16% 17% 15% 26% 18% 10% 5% 18% 12% 15% 13% 17% 18%

IJK JK K M oStrongly/Somewhat WorseOpinion (Net)

- - - - 205 100 105 105 51 39 10 74 28 89 61 72 72- - - - 10% 10% 10% 18% 10% 8% 2% 12% 8% 9% 9% 10% 13%

IJK K K o Somewhat worsen your opinion

- - - - 110 59 51 48 40 11 10 37 11 52 28 52 30- - - - 6% 6% 5% 8% 8% 2% 3% 6% 3% 5% 4% 7% 5%

JK JK m o Strongly worsen your opinion

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




taken 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.






- - - - 1120 558 562 323 319 262 216 360 190 524 385 443 291- - - - 56% 59% 54% 55% 63% 54% 52% 59% 57% 55% 56% 59% 52%

HJK QStrongly/SomewhatImprove Opinion (Net)

- - - - 388 199 189 133 116 75 63 127 70 175 136 163 89- - - - 19% 21% 18% 23% 23% 15% 15% 21% 21% 18% 20% 22% 16%

JK JK Q Strongly improve your opinion

- - - - 732 359 373 190 203 187 152 233 120 348 249 281 202- - - - 37% 38% 36% 32% 40% 39% 37% 38% 36% 37% 37% 37% 36%

H h Somewhat improve your opinion

- - - - 873 394 479 268 186 222 197 255 143 430 297 307 269- - - - 44% 41% 46% 45% 37% 46% 48% 41% 43% 45% 44% 41% 48%

I I I PStrongly/Somewhat WorseOpinion (Net)

- - - - 708 317 391 217 136 182 172 207 118 347 249 251 208- - - - 36% 33% 38% 37% 27% 38% 42% 34% 35% 36% 37% 33% 37%

I I I Somewhat worsen your opinion

- - - - 166 77 88 51 50 40 24 48 25 83 48 56 62- - - - 8% 8% 8% 9% 10% 8% 6% 8% 8% 9% 7% 7% 11%

k Op Strongly worsen your opinion

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




taken 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.






- - - - 1812 844 968 517 450 448 397 559 309 864 627 676 508- - - - 91% 89% 93% 88% 89% 92% 96% 91% 93% 91% 92% 90% 91%

F H HIjStrongly/SomewhatImprove Opinion (Net)

- - - - 1236 542 695 333 295 301 307 367 231 575 445 488 303- - - - 62% 57% 67% 56% 58% 62% 74% 60% 69% 60% 65% 65% 54%

F HIJ LN Q Q Strongly improve your opinion

- - - - 575 302 273 184 154 147 90 192 78 289 182 188 205- - - - 29% 32% 26% 31% 31% 30% 22% 31% 23% 30% 27% 25% 37%

G K K K M M OP Somewhat improve your opinion

- - - - 181 108 73 74 56 37 15 57 24 89 55 74 52- - - - 9% 11% 7% 12% 11% 8% 4% 9% 7% 9% 8% 10% 9%

G JK K kStrongly/Somewhat WorseOpinion (Net)

- - - - 134 83 51 58 34 31 10 43 21 64 35 59 39- - - - 7% 9% 5% 10% 7% 6% 2% 7% 6% 7% 5% 8% 7%

G K K K o Somewhat worsen your opinion

- - - - 47 25 22 15 22 5 5 14 3 25 20 14 13- - - - 2% 3% 2% 3% 4% 1% 1% 2% 1% 3% 3% 2% 2%

JK Strongly worsen your opinion

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




taken 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.






- - - - 1708 805 903 457 426 437 388 528 291 808 608 625 475- - - - 86% 85% 87% 77% 84% 90% 94% 86% 87% 85% 89% 83% 85%

H HI HIj PqStrongly/SomewhatImprove Opinion (Net)

- - - - 919 428 492 205 236 246 232 284 177 411 400 297 223- - - - 46% 45% 47% 35% 47% 51% 56% 46% 53% 43% 59% 40% 40%

H H HI lN PQ Strongly improve your opinion

- - - - 789 378 411 252 189 191 156 244 113 397 209 328 252- - - - 40% 40% 39% 43% 37% 39% 38% 40% 34% 42% 31% 44% 45%

M O O Somewhat improve your opinion

- - - - 285 147 138 134 80 47 24 87 42 145 74 125 86- - - - 14% 15% 13% 23% 16% 10% 6% 14% 13% 15% 11% 17% 15%

IJK JK k O oStrongly/Somewhat WorseOpinion (Net)

- - - - 203 104 99 95 53 40 15 66 34 98 48 96 59- - - - 10% 11% 10% 16% 11% 8% 4% 11% 10% 10% 7% 13% 10%

IJK K K O o Somewhat worsen your opinion

- - - - 82 43 39 38 26 7 10 21 9 47 26 29 27- - - - 4% 4% 4% 6% 5% 2% 2% 3% 3% 5% 4% 4% 5%

JK Jk Strongly worsen your opinion

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




taken 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.






- - - - 1817 846 971 514 449 451 403 558 313 868 631 699 488- - - - 91% 89% 93% 87% 89% 93% 98% 91% 94% 91% 92% 93% 87%

F Hi HIJ Q QStrongly/SomewhatImprove Opinion (Net)

- - - - 1165 490 676 327 280 279 280 352 211 545 411 478 276- - - - 58% 51% 65% 55% 55% 58% 68% 57% 63% 57% 60% 64% 49%

F HIJ Q Q Strongly improve your opinion

- - - - 652 356 296 187 169 172 123 206 102 324 219 221 211- - - - 33% 37% 28% 32% 33% 36% 30% 33% 31% 34% 32% 30% 38%

G P Somewhat improve your opinion

- - - - 176 107 69 77 56 34 9 57 20 85 52 51 73- - - - 9% 11% 7% 13% 11% 7% 2% 9% 6% 9% 8% 7% 13%

G JK jK K OPStrongly/Somewhat WorseOpinion (Net)

- - - - 118 68 50 57 29 27 5 41 13 58 37 30 51- - - - 6% 7% 5% 10% 6% 6% 1% 7% 4% 6% 5% 4% 9%

g ijK K K OP Somewhat worsen your opinion

- - - - 58 39 19 20 27 7 4 16 7 27 15 21 22- - - - 3% 4% 2% 3% 5% 1% 1% 3% 2% 3% 2% 3% 4%

G k JK Strongly worsen your opinion

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




taken 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.






- - - - 1831 857 975 520 453 454 405 561 316 874 638 698 496- - - - 92% 90% 94% 88% 90% 94% 98% 91% 95% 92% 93% 93% 88%

F Hi HIJ l Q QStrongly/SomewhatImprove Opinion (Net)

- - - - 1188 507 681 349 280 280 279 357 202 567 439 469 279- - - - 60% 53% 65% 59% 55% 58% 68% 58% 61% 59% 64% 63% 50%

F HIJ Q Q Strongly improve your opinion

- - - - 644 350 294 171 173 173 126 204 114 307 199 228 217- - - - 32% 37% 28% 29% 34% 36% 31% 33% 34% 32% 29% 30% 39%

G h OP Somewhat improve your opinion

- - - - 162 96 66 71 52 31 7 55 17 79 44 52 65- - - - 8% 10% 6% 12% 10% 6% 2% 9% 5% 8% 7% 7% 12%

G JK jK K m OPStrongly/Somewhat WorseOpinion (Net)

- - - - 102 61 41 56 23 22 2 34 11 51 27 30 45- - - - 5% 6% 4% 9% 5% 4% * 6% 3% 5% 4% 4% 8%

G IJK K K OP Somewhat worsen your opinion

- - - - 59 34 25 16 29 9 5 20 6 29 17 23 20- - - - 3% 4% 2% 3% 6% 2% 1% 3% 2% 3% 2% 3% 4%

HJK Strongly worsen your opinion

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 72FR07 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19

pandemic?Summary Of Should Remain Operational






- - - - 1869 873 996 536 452 472 410 591 317 877 637 707 525- - - - 94% 92% 96% 91% 89% 97% 99% 96% 95% 92% 93% 94% 94%

F HI HIj NGrocery stores

- - - - 1698 779 918 492 419 427 360 517 295 813 584 636 478- - - - 85% 82% 88% 83% 83% 88% 87% 84% 89% 85% 86% 85% 85%

F hi lLarge online retailers (e.g.,Amazon)

- - - - 1661 798 864 459 400 415 387 510 268 807 584 614 463- - - - 83% 84% 83% 78% 79% 86% 94% 83% 80% 85% 86% 82% 83%

HI HIJFood delivery apps (e.g.,Instacart, Doordash)

- - - - 1647 758 889 483 404 399 362 508 281 780 593 591 464- - - - 83% 80% 85% 82% 80% 82% 88% 82% 85% 82% 87% 79% 83%

F HIj PBanks

- - - - 1208 587 621 296 291 342 279 385 208 555 440 415 353- - - - 61% 62% 60% 50% 58% 71% 68% 63% 62% 58% 64% 55% 63%

h HI HI P PHardware/homeimprovement stores

- - - - 670 370 301 198 183 169 120 215 107 321 251 214 206- - - - 34% 39% 29% 34% 36% 35% 29% 35% 32% 34% 37% 29% 37%

G k P PBig box retailers that donot sell groceries



6 Apr 2020Table 73FR07 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19

pandemic?Summary Of Should Close






- - - - 1323 582 740 393 322 315 292 400 226 632 432 536 355- - - - 66% 61% 71% 66% 64% 65% 71% 65% 68% 66% 63% 71% 63%

F i OQBig box retailers that donot sell groceries

- - - - 785 365 420 294 215 143 133 231 125 398 242 335 208- - - - 39% 38% 40% 50% 42% 29% 32% 37% 38% 42% 36% 45% 37%

iJK JK OQHardware/homeimprovement stores

- - - - 346 194 152 108 101 86 50 108 51 173 90 159 96- - - - 17% 20% 15% 18% 20% 18% 12% 18% 15% 18% 13% 21% 17%

G K K k OBanks

- - - - 332 154 177 132 105 69 25 105 65 146 98 136 97- - - - 17% 16% 17% 22% 21% 14% 6% 17% 20% 15% 14% 18% 17%

JK JK KFood delivery apps (e.g.,Instacart, Doordash)

- - - - 295 173 122 99 86 58 53 99 38 140 99 114 83- - - - 15% 18% 12% 17% 17% 12% 13% 16% 11% 15% 14% 15% 15%

G j j mLarge online retailers (e.g.,Amazon)

- - - - 124 79 45 55 54 12 3 25 16 76 46 43 35- - - - 6% 8% 4% 9% 11% 3% 1% 4% 5% 8% 7% 6% 6%

G JK JK k LGrocery stores



6 Apr 2020Table 74FR07_1 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19

pandemic?Grocery stores






- - - - 1869 873 996 536 452 472 410 591 317 877 637 707 525- - - - 94% 92% 96% 91% 89% 97% 99% 96% 95% 92% 93% 94% 94%

F HI HIj NShould remain operational

- - - - 124 79 45 55 54 12 3 25 16 76 46 43 35- - - - 6% 8% 4% 9% 11% 3% 1% 4% 5% 8% 7% 6% 6%

G JK JK k LShould close

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




pandemic?Large online retailers (e.g., Amazon)






- - - - 1698 779 918 492 419 427 360 517 295 813 584 636 478- - - - 85% 82% 88% 83% 83% 88% 87% 84% 89% 85% 86% 85% 85%

F hi lShould remain operational

- - - - 295 173 122 99 86 58 53 99 38 140 99 114 83- - - - 15% 18% 12% 17% 17% 12% 13% 16% 11% 15% 14% 15% 15%

G j j mShould close

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




pandemic?Big box retailers that do not sell groceries






- - - - 670 370 301 198 183 169 120 215 107 321 251 214 206- - - - 34% 39% 29% 34% 36% 35% 29% 35% 32% 34% 37% 29% 37%

G k P PShould remain operational

- - - - 1323 582 740 393 322 315 292 400 226 632 432 536 355- - - - 66% 61% 71% 66% 64% 65% 71% 65% 68% 66% 63% 71% 63%

F i OQShould close

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




pandemic?Banks






- - - - 1647 758 889 483 404 399 362 508 281 780 593 591 464- - - - 83% 80% 85% 82% 80% 82% 88% 82% 85% 82% 87% 79% 83%

F HIj PShould remain operational

- - - - 346 194 152 108 101 86 50 108 51 173 90 159 96- - - - 17% 20% 15% 18% 20% 18% 12% 18% 15% 18% 13% 21% 17%

G K K k OShould close

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




pandemic?Hardware/home improvement stores






- - - - 1208 587 621 296 291 342 279 385 208 555 440 415 353- - - - 61% 62% 60% 50% 58% 71% 68% 63% 62% 58% 64% 55% 63%

h HI HI P PShould remain operational

- - - - 785 365 420 294 215 143 133 231 125 398 242 335 208- - - - 39% 38% 40% 50% 42% 29% 32% 37% 38% 42% 36% 45% 37%

iJK JK OQShould close

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




pandemic?Food delivery apps (e.g., Instacart, Doordash)






- - - - 1661 798 864 459 400 415 387 510 268 807 584 614 463- - - - 83% 84% 83% 78% 79% 86% 94% 83% 80% 85% 86% 82% 83%

HI HIJShould remain operational

- - - - 332 154 177 132 105 69 25 105 65 146 98 136 97- - - - 17% 16% 17% 22% 21% 14% 6% 17% 20% 15% 14% 18% 17%

JK JK KShould close

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 80FR08 If an employee working for an essential business were given proper facemasks and protection, do you think they should be

required to go into work?Base: All Respondents





- - - - 1229 664 566 364 336 292 238 385 205 586 426 465 339- - - - 62% 70% 54% 62% 66% 60% 58% 62% 62% 61% 62% 62% 60%

G KShould be required

- - - - 764 288 475 227 170 192 174 231 128 367 256 285 222- - - - 38% 30% 46% 38% 34% 40% 42% 38% 38% 39% 38% 38% 40%

F IShould not be required

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 81FR09 If an employer provides proper protection for an employee against COVID-19, should the employer be allowed to fire an

employee who refuses to come in to work?Base: All Respondents





- - - - 579 383 195 204 161 122 92 158 74 327 231 171 177- - - - 29% 40% 19% 34% 32% 25% 22% 26% 22% 34% 34% 23% 32%

G JK jK LM P PYes

- - - - 1414 569 845 387 345 363 320 458 259 627 452 579 384- - - - 71% 60% 81% 66% 68% 75% 78% 74% 78% 66% 66% 77% 68%

F Hi HI N N OQNo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 82FR10 Which is closer to your view?






- - - - 314 205 109 125 103 47 38 99 40 159 100 113 102- - - - 16% 22% 10% 21% 20% 10% 9% 16% 12% 17% 15% 15% 18%

G JK JKLarge companies shoulddo everything possible tomake sure their customersget their products asquickly as possible even ifit means putting someemployees at risk

- - - - 1679 747 932 465 403 437 374 516 293 795 583 637 459- - - - 84% 78% 90% 79% 80% 90% 91% 84% 88% 83% 85% 85% 82%

F HI HILarge companies toppriority should be keepingits employees safe, even ifit means that customersneed to wait to get theirproducts

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 83Q24 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 861 983 529 472 448 395 568 309 885 643 704 49793% 92% 94% 92% 93% 90% 94% 89% 93% 93% 96% 92% 93% 93% 94% 94% 89%

BD F h H Q QDoctors and nurses

1729 1736 1763 1793 1725 805 920 488 445 420 371 517 285 850 591 675 46084% 86% 87% 89% 87% 85% 88% 83% 88% 87% 90% 84% 86% 89% 87% 90% 82%

A ABe F H H L q QMedical journals

1817 1791 1843 1804 1689 790 899 480 425 418 366 509 286 817 589 658 44389% 89% 91% 89% 85% 83% 86% 81% 84% 86% 89% 83% 86% 86% 86% 88% 79%E E ABE E f h Hi Q Q

CDC

1547 1549 1641 1639 1523 719 804 416 394 377 337 470 251 741 530 588 40575% 77% 81% 81% 76% 76% 77% 70% 78% 78% 82% 76% 75% 78% 78% 78% 72%

ABE ABE H H H q QMy local government

1435 1444 1475 1478 1516 717 798 401 406 383 326 485 254 718 526 577 41370% 72% 73% 73% 76% 75% 77% 68% 80% 79% 79% 79% 76% 75% 77% 77% 74%

a ABc H H HFriends and family

1546 1532 1664 1596 1509 720 789 435 379 361 334 463 231 744 528 591 39075% 76% 82% 79% 76% 76% 76% 74% 75% 75% 81% 75% 69% 78% 77% 79% 69%

ABDE AbE Hij m M Q QMy governor

1534 1566 1620 1616 1408 660 748 425 369 331 282 412 234 700 546 499 36375% 78% 80% 80% 71% 69% 72% 72% 73% 68% 68% 67% 70% 73% 80% 67% 65%E E AE AE L PQ

GovernmentPSA’s/website

1485 1493 1540 1521 1381 652 729 368 375 332 307 432 228 665 426 581 37472% 74% 76% 75% 69% 68% 70% 62% 74% 69% 74% 70% 68% 70% 62% 77% 67%

e E AE aE H h H OQLocal media

1335 1317 1377 1381 1198 549 649 358 340 266 234 367 180 598 337 553 30865% 65% 68% 69% 60% 58% 62% 61% 67% 55% 57% 60% 54% 63% 49% 74% 55%E E E abE f hJK M OQ

National media

1168 1235 1262 1240 1050 535 515 318 286 239 207 314 174 513 578 222 25057% 61% 62% 62% 53% 56% 50% 54% 57% 49% 50% 51% 52% 54% 85% 30% 45%E AE AE AE G j PQ P

The WhiteHouse/President

759 689 753 797 689 359 330 240 240 130 79 222 101 339 241 284 16537% 34% 37% 40% 35% 38% 32% 41% 48% 27% 19% 36% 30% 36% 35% 38% 29%

BE G JK hJK K q QSocial media (e.g.,Facebook, Instagram)

- - - - 453 275 178 191 169 57 36 130 54 248 169 168 116- - - - 23% 29% 17% 32% 33% 12% 9% 21% 16% 26% 25% 22% 21%

G JK JK lMChinese President, XiJinping



6 Apr 2020Table 84Q24_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)






759 689 753 797 689 359 330 240 240 130 79 222 101 339 241 284 16537% 34% 37% 40% 35% 38% 32% 41% 48% 27% 19% 36% 30% 36% 35% 38% 29%

BE G JK hJK K q QVery/SomewhatTrustworthy (Net)

179 174 174 209 169 115 54 64 75 23 6 48 18 99 75 57 379% 9% 9% 10% 8% 12% 5% 11% 15% 5% 1% 8% 5% 10% 11% 8% 7%

G JK JK K M pQ Very trustworthy

580 515 579 588 521 244 276 176 165 107 73 175 83 240 166 227 12828% 26% 29% 29% 26% 26% 27% 30% 33% 22% 18% 28% 25% 25% 24% 30% 23%

b Be JK JK OQ Somewhat trustworthy

1291 1330 1270 1219 1304 593 711 351 265 355 333 393 232 614 442 466 39663% 66% 63% 60% 65% 62% 68% 59% 52% 73% 81% 64% 70% 64% 65% 62% 71%

D D F i HI HIJ oPNot All/Not VeryTrustworthy (Net)

662 751 704 673 751 328 423 201 165 186 199 226 129 357 240 300 21132% 37% 35% 33% 38% 34% 41% 34% 33% 38% 48% 37% 39% 37% 35% 40% 38%

AD AD F HIJ Not very trustworthy

630 579 566 546 553 265 288 150 100 169 135 168 103 256 201 166 18531% 29% 28% 27% 28% 28% 28% 25% 20% 35% 33% 27% 31% 27% 30% 22% 33%D i HI hI P P

Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 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 549 649 358 340 266 234 367 180 598 337 553 30865% 65% 68% 69% 60% 58% 62% 61% 67% 55% 57% 60% 54% 63% 49% 74% 55%E E E abE f hJK M OQ

Very/SomewhatTrustworthy (Net)

393 368 427 459 355 194 161 120 104 75 56 101 47 197 109 172 7419% 18% 21% 23% 18% 20% 15% 20% 21% 15% 14% 16% 14% 21% 16% 23% 13%

bE ABE G K jK lM OQ Very trustworthy

942 949 950 922 843 356 487 238 236 191 178 266 133 401 228 381 23446% 47% 47% 46% 42% 37% 47% 40% 47% 39% 43% 43% 40% 42% 33% 51% 42%

e E E e F hj OQ O Somewhat trustworthy

715 702 646 635 795 403 392 233 165 218 178 249 153 355 345 197 25335% 35% 32% 31% 40% 42% 38% 39% 33% 45% 43% 40% 46% 37% 51% 26% 45%

d d ABCD g i I I N P PNot All/Not VeryTrustworthy (Net)

441 460 369 388 466 214 253 141 107 127 91 161 97 196 178 138 15022% 23% 18% 19% 23% 22% 24% 24% 21% 26% 22% 26% 29% 21% 26% 18% 27%C CD CD N N P P

Not very trustworthy

274 242 277 247 329 189 139 92 59 91 87 88 56 159 167 59 10213% 12% 14% 12% 16% 20% 13% 15% 12% 19% 21% 14% 17% 17% 25% 8% 18%

ABCD G I hI PQ P Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 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 652 729 368 375 332 307 432 228 665 426 581 37472% 74% 76% 75% 69% 68% 70% 62% 74% 69% 74% 70% 68% 70% 62% 77% 67%

e E AE aE H h H OQVery/SomewhatTrustworthy (Net)

419 418 440 470 374 193 181 92 112 84 86 120 52 193 96 187 9120% 21% 22% 23% 19% 20% 17% 16% 22% 17% 21% 19% 15% 20% 14% 25% 16%

e aE H h OQ Very trustworthy

1066 1075 1100 1051 1008 459 549 275 262 248 221 313 176 472 330 394 28352% 53% 54% 52% 51% 48% 53% 47% 52% 51% 54% 51% 53% 49% 48% 53% 51%

e h Somewhat trustworthy

565 526 483 495 612 300 312 223 131 152 105 183 105 288 256 169 18628% 26% 24% 25% 31% 32% 30% 38% 26% 31% 26% 30% 32% 30% 38% 23% 33%Cd aBCD IjK P P

Not All/Not VeryTrustworthy (Net)

360 355 320 328 415 207 208 143 86 108 77 129 71 195 163 133 11918% 18% 16% 16% 21% 22% 20% 24% 17% 22% 19% 21% 21% 20% 24% 18% 21%

ABCD I i P Not very trustworthy

206 171 162 167 197 93 104 80 45 44 28 54 34 93 94 36 6710% 8% 8% 8% 10% 10% 10% 14% 9% 9% 7% 9% 10% 10% 14% 5% 12%

c IjK P P Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 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 805 920 488 445 420 371 517 285 850 591 675 46084% 86% 87% 89% 87% 85% 88% 83% 88% 87% 90% 84% 86% 89% 87% 90% 82%

A ABe F H H L q QVery/SomewhatTrustworthy (Net)

726 743 818 817 761 366 395 244 216 160 141 201 123 408 230 330 20135% 37% 40% 41% 38% 38% 38% 41% 43% 33% 34% 33% 37% 43% 34% 44% 36%

Ab Ab Jk JK L OQ Very trustworthy

1002 994 945 976 964 439 525 244 229 260 230 315 162 442 361 344 25949% 49% 47% 48% 48% 46% 50% 41% 45% 54% 56% 51% 49% 46% 53% 46% 46%

HI HI Pq Somewhat trustworthy

321 283 260 223 268 147 121 103 60 64 41 99 48 103 92 75 10116% 14% 13% 11% 13% 15% 12% 17% 12% 13% 10% 16% 14% 11% 13% 10% 18%

CD D d G IK N oPNot All/Not VeryTrustworthy (Net)

230 211 172 152 199 114 86 73 48 49 29 76 35 77 67 57 7511% 10% 9% 8% 10% 12% 8% 12% 10% 10% 7% 12% 11% 8% 10% 8% 13%

CD D D G K N P Not very trustworthy

91 72 88 70 69 33 35 30 12 15 12 23 12 26 25 18 264% 4% 4% 3% 3% 3% 3% 5% 2% 3% 3% 4% 4% 3% 4% 2% 5%

i p Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 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 660 748 425 369 331 282 412 234 700 546 499 36375% 78% 80% 80% 71% 69% 72% 72% 73% 68% 68% 67% 70% 73% 80% 67% 65%E E AE AE L PQ


502 463 571 550 414 206 209 138 126 69 81 118 69 216 180 143 9125% 23% 28% 27% 21% 22% 20% 23% 25% 14% 20% 19% 21% 23% 26% 19% 16%E ABE BE J J j PQ

Very trustworthy

1032 1103 1049 1066 994 455 539 287 243 261 202 293 165 484 367 355 27250% 55% 52% 53% 50% 48% 52% 49% 48% 54% 49% 48% 50% 51% 54% 47% 48%

AE p Somewhat trustworthy

516 453 403 400 585 292 293 166 136 154 130 204 99 253 136 251 19825% 22% 20% 20% 29% 31% 28% 28% 27% 32% 32% 33% 30% 27% 20% 33% 35%

CD ABCD N O ONot All/Not VeryTrustworthy (Net)

360 313 271 272 382 189 193 87 92 116 88 131 73 161 92 169 12118% 16% 13% 13% 19% 20% 19% 15% 18% 24% 21% 21% 22% 17% 13% 23% 22%

CD BCD Hi H n n O O Not very trustworthy

156 140 133 128 203 103 100 79 45 38 42 72 26 92 45 82 768% 7% 7% 6% 10% 11% 10% 13% 9% 8% 10% 12% 8% 10% 7% 11% 14%

ABCD iJ m O O Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?CDC






1817 1791 1843 1804 1689 790 899 480 425 418 366 509 286 817 589 658 44389% 89% 91% 89% 85% 83% 86% 81% 84% 86% 89% 83% 86% 86% 86% 88% 79%E E ABE E f h Hi Q Q


1021 992 1129 1087 893 396 497 254 244 204 191 261 147 449 290 370 23350% 49% 56% 54% 45% 42% 48% 43% 48% 42% 46% 42% 44% 47% 42% 49% 41%E E ABE ABE F OQ

Very trustworthy

796 799 715 717 796 394 402 227 180 214 175 248 140 369 299 288 21039% 40% 35% 36% 40% 41% 39% 38% 36% 44% 42% 40% 42% 39% 44% 38% 37%cd CD CD I i q

Somewhat trustworthy

233 228 180 212 304 162 142 110 81 66 46 107 47 136 94 92 11811% 11% 9% 11% 15% 17% 14% 19% 16% 14% 11% 17% 14% 14% 14% 12% 21%C C ABCD g jK k OP


160 169 113 144 220 114 106 71 67 52 30 68 35 105 65 62 938% 8% 6% 7% 11% 12% 10% 12% 13% 11% 7% 11% 11% 11% 10% 8% 17%C C ABCD k K OP


72 59 66 68 84 48 36 39 14 15 16 39 11 31 29 30 254% 3% 3% 3% 4% 5% 3% 7% 3% 3% 4% 6% 3% 3% 4% 4% 5%

b IJ mN Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 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 717 798 401 406 383 326 485 254 718 526 577 41370% 72% 73% 73% 76% 75% 77% 68% 80% 79% 79% 79% 76% 75% 77% 77% 74%

a ABc H H HVery/SomewhatTrustworthy (Net)

454 455 427 475 522 264 259 141 153 132 96 178 87 232 206 177 13922% 23% 21% 24% 26% 28% 25% 24% 30% 27% 23% 29% 26% 24% 30% 24% 25%

ABC hk n Pq Very trustworthy

981 989 1049 1004 994 454 540 259 253 251 230 307 166 486 320 399 27448% 49% 52% 50% 50% 48% 52% 44% 50% 52% 56% 50% 50% 51% 47% 53% 49%

A h H H o Somewhat trustworthy

615 575 548 538 477 235 243 190 99 102 86 130 79 236 156 173 14830% 28% 27% 27% 24% 25% 23% 32% 20% 21% 21% 21% 24% 25% 23% 23% 26%dE E e IJK


463 445 426 407 359 178 182 131 76 85 67 99 64 176 118 129 11223% 22% 21% 20% 18% 19% 17% 22% 15% 18% 16% 16% 19% 18% 17% 17% 20%E E e Ik


152 130 122 131 118 57 61 59 23 17 19 31 15 59 38 44 357% 6% 6% 7% 6% 6% 6% 10% 5% 3% 5% 5% 5% 6% 6% 6% 6%

IJK Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 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 861 983 529 472 448 395 568 309 885 643 704 49793% 92% 94% 92% 93% 90% 94% 89% 93% 93% 96% 92% 93% 93% 94% 94% 89%

BD F h H Q QVery/SomewhatTrustworthy (Net)

1104 1038 1190 1203 1193 553 640 324 307 289 273 352 195 585 389 485 31854% 51% 59% 60% 60% 58% 61% 55% 61% 60% 66% 57% 59% 61% 57% 65% 57%

AB AB AB H OQ Very trustworthy

806 814 710 642 651 308 343 205 165 159 121 216 114 300 254 219 17939% 40% 35% 32% 33% 32% 33% 35% 33% 33% 29% 35% 34% 32% 37% 29% 32%

CDE CDE d P Somewhat trustworthy

139 167 123 171 149 91 58 62 34 36 18 48 24 68 40 46 647% 8% 6% 8% 7% 10% 6% 11% 7% 7% 4% 8% 7% 7% 6% 6% 11%

C C G iK OPNot All/Not VeryTrustworthy (Net)

89 132 82 116 99 60 39 39 24 26 10 33 14 50 26 31 414% 7% 4% 6% 5% 6% 4% 7% 5% 5% 2% 5% 4% 5% 4% 4% 7%

ACe c G K k OP Not very trustworthy

50 36 41 55 51 32 19 23 10 10 8 14 10 18 14 15 222% 2% 2% 3% 3% 3% 2% 4% 2% 2% 2% 2% 3% 2% 2% 2% 4%

g op Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 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 535 515 318 286 239 207 314 174 513 578 222 25057% 61% 62% 62% 53% 56% 50% 54% 57% 49% 50% 51% 52% 54% 85% 30% 45%E AE AE AE G j PQ P


496 556 589 595 493 256 237 128 136 116 113 149 89 235 335 74 8424% 28% 29% 30% 25% 27% 23% 22% 27% 24% 27% 24% 27% 25% 49% 10% 15%

a AE AE g PQ P Very trustworthy

671 680 673 645 557 279 279 190 151 123 94 165 86 278 243 148 16633% 34% 33% 32% 28% 29% 27% 32% 30% 25% 23% 27% 26% 29% 36% 20% 30%E E E E jK k Pq P


882 784 761 776 943 417 525 272 219 246 205 302 159 440 104 527 31143% 39% 38% 38% 47% 44% 50% 46% 43% 51% 50% 49% 48% 46% 15% 70% 55%

BCD ABCD F i OQ ONot All/Not VeryTrustworthy (Net)

385 376 322 319 374 176 198 114 95 98 68 122 62 176 68 168 13919% 19% 16% 16% 19% 18% 19% 19% 19% 20% 16% 20% 19% 18% 10% 22% 25%cd cd cd O O


497 408 439 457 568 241 327 159 124 148 138 180 96 264 37 360 17224% 20% 22% 23% 29% 25% 31% 27% 25% 30% 33% 29% 29% 28% 5% 48% 31%B ABCD F i hI OQ O

Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 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 720 789 435 379 361 334 463 231 744 528 591 39075% 76% 82% 79% 76% 76% 76% 74% 75% 75% 81% 75% 69% 78% 77% 79% 69%

ABDE AbE Hij m M Q QVery/SomewhatTrustworthy (Net)

525 550 668 705 618 296 322 165 164 139 150 191 104 298 211 272 13526% 27% 33% 35% 31% 31% 31% 28% 33% 29% 36% 31% 31% 31% 31% 36% 24%

AB ABE AB Hj Q oQ Very trustworthy

1022 982 996 891 891 424 467 270 214 222 184 271 127 446 317 319 25450% 49% 49% 44% 45% 45% 45% 46% 42% 46% 45% 44% 38% 47% 46% 43% 45%DE De DE M


504 487 359 420 484 232 252 156 126 123 78 153 102 209 154 159 17125% 24% 18% 21% 24% 24% 24% 26% 25% 25% 19% 25% 31% 22% 23% 21% 31%

CD Cd C CD K k k lN OPNot All/Not VeryTrustworthy (Net)

338 320 218 259 306 148 158 90 89 83 44 88 66 142 110 100 9616% 16% 11% 13% 15% 15% 15% 15% 18% 17% 11% 14% 20% 15% 16% 13% 17%

CD CD Cd k K K ln Not very trustworthy

166 166 141 161 179 85 94 66 38 40 34 65 36 67 45 59 758% 8% 7% 8% 9% 9% 9% 11% 7% 8% 8% 11% 11% 7% 7% 8% 13%

c N n OP Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 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 719 804 416 394 377 337 470 251 741 530 588 40575% 77% 81% 81% 76% 76% 77% 70% 78% 78% 82% 76% 75% 78% 78% 78% 72%

ABE ABE H H H q QVery/SomewhatTrustworthy (Net)

448 464 553 586 485 249 235 145 134 102 103 147 81 245 170 209 10622% 23% 27% 29% 24% 26% 23% 25% 27% 21% 25% 24% 24% 26% 25% 28% 19%

ABe ABE Q Q Very trustworthy

1098 1085 1088 1053 1039 470 569 271 260 275 233 323 170 496 360 380 29954% 54% 54% 52% 52% 49% 55% 46% 51% 57% 57% 53% 51% 52% 53% 51% 53%

f H H Somewhat trustworthy

503 470 382 377 470 233 237 175 112 107 75 145 82 212 153 161 15625% 23% 19% 19% 24% 24% 23% 30% 22% 22% 18% 24% 25% 22% 22% 22% 28%

CD CD CD IJK oPNot All/Not VeryTrustworthy (Net)

330 318 253 269 314 156 158 106 78 81 49 87 62 144 117 98 9916% 16% 13% 13% 16% 16% 15% 18% 15% 17% 12% 14% 19% 15% 17% 13% 18%Cd Cd Cd K p p


174 152 129 108 156 77 79 69 34 26 26 58 20 68 36 63 568% 8% 6% 5% 8% 8% 8% 12% 7% 5% 6% 9% 6% 7% 5% 8% 10%

CD D D IJK o O Not all trustworthy

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




outbreak?Chinese President, Xi Jinping






- - - - 453 275 178 191 169 57 36 130 54 248 169 168 116- - - - 23% 29% 17% 32% 33% 12% 9% 21% 16% 26% 25% 22% 21%

G JK JK lMVery/SomewhatTrustworthy (Net)

- - - - 133 98 35 53 65 11 3 30 12 91 67 41 25- - - - 7% 10% 3% 9% 13% 2% 1% 5% 4% 10% 10% 5% 4%

G JK JK LM PQ Very trustworthy

- - - - 320 177 144 137 104 45 33 100 43 158 103 127 91- - - - 16% 19% 14% 23% 21% 9% 8% 16% 13% 17% 15% 17% 16%

G JK JK Somewhat trustworthy

- - - - 1540 677 863 400 336 428 376 485 279 705 513 582 445- - - - 77% 71% 83% 68% 67% 88% 91% 79% 84% 74% 75% 78% 79%

F HI HI n NNot All/Not VeryTrustworthy (Net)

- - - - 567 258 309 156 133 149 128 193 93 260 149 264 153- - - - 28% 27% 30% 26% 26% 31% 31% 31% 28% 27% 22% 35% 27%

OQ o Not very trustworthy

- - - - 973 419 554 244 203 278 248 292 186 445 364 318 292- - - - 49% 44% 53% 41% 40% 57% 60% 47% 56% 47% 53% 42% 52%

F HI HI LN P P Not all trustworthy

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 96MED01 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?

Summary Of IncreasedBase: All Respondents





- - - 1135 1194 565 629 446 340 247 161 318 209 625 409 470 316- - - 56% 60% 59% 60% 76% 67% 51% 39% 52% 63% 66% 60% 63% 56%

d IJK JK K L L qSmartphone/tablet

- - - 1147 1059 537 522 318 295 244 202 297 180 541 391 425 244- - - 57% 53% 56% 50% 54% 58% 50% 49% 48% 54% 57% 57% 57% 43%

e G JK L Q QTV (cable or broadcast)

- - - 1015 1051 498 552 409 324 205 112 273 167 573 334 427 290- - - 50% 53% 52% 53% 69% 64% 42% 27% 44% 50% 60% 49% 57% 52%

JK JK K LM OStreaming TV (e.g.,Netflix, Apple TV)

- - - 704 719 362 356 241 210 137 129 186 111 399 246 265 207- - - 35% 36% 38% 34% 41% 42% 28% 31% 30% 33% 42% 36% 35% 37%

JK JK LMBooks

- - - 378 397 231 166 140 145 61 51 86 55 242 156 149 92- - - 19% 20% 24% 16% 24% 29% 13% 12% 14% 17% 25% 23% 20% 16%

G JK JK LM QMagazines




Summary Of DecreasedBase: All Respondents





- - - 318 331 167 164 134 75 74 47 115 50 156 112 110 109- - - 16% 17% 18% 16% 23% 15% 15% 11% 19% 15% 16% 16% 15% 19%

IJK pMagazines

- - - 230 241 133 108 103 60 50 28 74 34 125 75 88 78- - - 11% 12% 14% 10% 17% 12% 10% 7% 12% 10% 13% 11% 12% 14%

g IJK KBooks

- - - 146 191 96 95 81 51 39 21 69 23 89 49 67 76- - - 7% 10% 10% 9% 14% 10% 8% 5% 11% 7% 9% 7% 9% 14%

D JK K m OPTV (cable or broadcast)

- - - 184 182 104 78 56 44 45 37 64 17 91 72 57 53- - - 9% 9% 11% 8% 10% 9% 9% 9% 10% 5% 10% 11% 8% 9%

G M MStreaming TV (e.g.,Netflix, Apple TV)

- - - 134 143 78 65 53 32 28 29 43 17 74 51 44 48- - - 7% 7% 8% 6% 9% 6% 6% 7% 7% 5% 8% 7% 6% 9%

Smartphone/tablet




Summary Of About The SameBase: All Respondents





- - - 1320 1265 554 712 316 286 349 314 415 228 555 415 491 360- - - 65% 63% 58% 68% 54% 57% 72% 76% 67% 69% 58% 61% 65% 64%

F HI HI N NMagazines

- - - 1082 1033 457 576 246 235 297 255 355 187 429 362 396 275- - - 54% 52% 48% 55% 42% 46% 61% 62% 58% 56% 45% 53% 53% 49%

F HI HI N NBooks

- - - 817 760 350 411 125 138 235 263 279 149 289 277 266 218- - - 41% 38% 37% 39% 21% 27% 48% 64% 45% 45% 30% 41% 35% 39%

h HI HIJ N NStreaming TV (e.g.,Netflix, Apple TV)

- - - 723 743 319 424 192 160 201 189 250 130 323 243 259 241- - - 36% 37% 33% 41% 32% 32% 42% 46% 41% 39% 34% 36% 34% 43%

F HI HI N OPTV (cable or broadcast)

- - - 747 656 309 347 91 133 209 223 254 107 255 223 236 197- - - 37% 33% 32% 33% 15% 26% 43% 54% 41% 32% 27% 33% 31% 35%

E H HI HIJ MNSmartphone/tablet



6 Apr 2020Table 99MED01_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)Base: All Respondents





- - - 1147 1059 537 522 318 295 244 202 297 180 541 391 425 244- - - 57% 53% 56% 50% 54% 58% 50% 49% 48% 54% 57% 57% 57% 43%

e G JK L Q QIncreased

- - - 146 191 96 95 81 51 39 21 69 23 89 49 67 76- - - 7% 10% 10% 9% 14% 10% 8% 5% 11% 7% 9% 7% 9% 14%

D JK K m OPDecreased

- - - 723 743 319 424 192 160 201 189 250 130 323 243 259 241- - - 36% 37% 33% 41% 32% 32% 42% 46% 41% 39% 34% 36% 34% 43%

F HI HI N OPAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Streaming TV (e.g., Netflix, Apple TV)Base: All Respondents





- - - 1015 1051 498 552 409 324 205 112 273 167 573 334 427 290- - - 50% 53% 52% 53% 69% 64% 42% 27% 44% 50% 60% 49% 57% 52%

JK JK K LM OIncreased

- - - 184 182 104 78 56 44 45 37 64 17 91 72 57 53- - - 9% 9% 11% 8% 10% 9% 9% 9% 10% 5% 10% 11% 8% 9%

G M MDecreased

- - - 817 760 350 411 125 138 235 263 279 149 289 277 266 218- - - 41% 38% 37% 39% 21% 27% 48% 64% 45% 45% 30% 41% 35% 39%

h HI HIJ N NAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Smartphone/tabletBase: All Respondents





- - - 1135 1194 565 629 446 340 247 161 318 209 625 409 470 316- - - 56% 60% 59% 60% 76% 67% 51% 39% 52% 63% 66% 60% 63% 56%

d IJK JK K L L qIncreased

- - - 134 143 78 65 53 32 28 29 43 17 74 51 44 48- - - 7% 7% 8% 6% 9% 6% 6% 7% 7% 5% 8% 7% 6% 9%

Decreased

- - - 747 656 309 347 91 133 209 223 254 107 255 223 236 197- - - 37% 33% 32% 33% 15% 26% 43% 54% 41% 32% 27% 33% 31% 35%

E H HI HIJ MNAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




MagazinesBase: All Respondents





- - - 378 397 231 166 140 145 61 51 86 55 242 156 149 92- - - 19% 20% 24% 16% 24% 29% 13% 12% 14% 17% 25% 23% 20% 16%

G JK JK LM QIncreased

- - - 318 331 167 164 134 75 74 47 115 50 156 112 110 109- - - 16% 17% 18% 16% 23% 15% 15% 11% 19% 15% 16% 16% 15% 19%

IJK pDecreased

- - - 1320 1265 554 712 316 286 349 314 415 228 555 415 491 360- - - 65% 63% 58% 68% 54% 57% 72% 76% 67% 69% 58% 61% 65% 64%

F HI HI N NAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




BooksBase: All Respondents





- - - 704 719 362 356 241 210 137 129 186 111 399 246 265 207- - - 35% 36% 38% 34% 41% 42% 28% 31% 30% 33% 42% 36% 35% 37%

JK JK LMIncreased

- - - 230 241 133 108 103 60 50 28 74 34 125 75 88 78- - - 11% 12% 14% 10% 17% 12% 10% 7% 12% 10% 13% 11% 12% 14%

g IJK KDecreased

- - - 1082 1033 457 576 246 235 297 255 355 187 429 362 396 275- - - 54% 52% 48% 55% 42% 46% 61% 62% 58% 56% 45% 53% 53% 49%

F HI HI N NAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 104MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?

Summary Of MoreBase: All Respondents





- - - - 1053 500 553 401 331 212 109 266 162 586 334 419 301- - - - 53% 53% 53% 68% 66% 44% 27% 43% 49% 62% 49% 56% 54%

JK JK K LM OStreaming services (e.g.,Netflix, Hulu)

- - - 935 989 439 550 390 298 189 111 262 171 527 338 388 263- - - 46% 50% 46% 53% 66% 59% 39% 27% 43% 51% 55% 50% 52% 47%

F iJK JK K L LSocial media (e.g.,Facebook, Instagram,Twitter)

- - - 830 854 399 456 368 256 136 94 228 136 453 278 336 240- - - 41% 43% 42% 44% 62% 51% 28% 23% 37% 41% 48% 41% 45% 43%

IJK JK LmGames

- - - 833 844 406 438 298 261 171 114 227 120 470 272 346 225- - - 41% 42% 43% 42% 50% 52% 35% 28% 37% 36% 49% 40% 46% 40%

JK JK K LM oqNews apps

- - - 619 663 327 336 286 227 107 43 116 89 441 231 252 180- - - 31% 33% 34% 32% 48% 45% 22% 10% 19% 27% 46% 34% 34% 32%

JK JK K L LMVirtual meeting sites (e.g.,Zoom, Teams)

- - - 682 661 342 318 311 215 108 26 186 103 349 230 255 176- - - 34% 33% 36% 31% 53% 43% 22% 6% 30% 31% 37% 34% 34% 31%

G IJK JK K LMusic apps (e.g., Spotify,iTunes)

- - - 524 445 248 197 196 147 65 38 101 48 276 180 154 112- - - 26% 22% 26% 19% 33% 29% 13% 9% 16% 14% 29% 26% 21% 20%

E G JK JK LM PQOn-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 502 437 222 215 195 159 65 19 93 59 276 159 168 110- - - 25% 22% 23% 21% 33% 31% 13% 5% 15% 18% 29% 23% 22% 20%

e JK JK K LMWellness apps (e.g.,Meditation apps,work-outs)

- - - 399 356 203 153 148 136 52 20 83 51 216 142 132 83- - - 20% 18% 21% 15% 25% 27% 11% 5% 13% 15% 23% 21% 18% 15%

G JK JK K LM QPodcasts

- - - 200 218 148 71 97 86 24 11 55 23 135 97 80 42- - - 10% 11% 16% 7% 16% 17% 5% 3% 9% 7% 14% 14% 11% 7%

G JK JK LM QDating apps




Summary Of LessBase: All Respondents





- - - 581 607 296 311 207 167 120 113 212 102 265 191 241 176- - - 29% 30% 31% 30% 35% 33% 25% 27% 34% 31% 28% 28% 32% 31%

JK J NDating apps

- - - 415 444 229 215 129 109 105 101 177 56 188 152 160 132- - - 21% 22% 24% 21% 22% 22% 22% 24% 29% 17% 20% 22% 21% 24%

MNPodcasts

- - - 424 443 205 239 145 121 85 93 174 63 188 125 197 122- - - 21% 22% 21% 23% 24% 24% 18% 22% 28% 19% 20% 18% 26% 22%

J J MN OOn-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 377 377 188 189 114 93 79 91 156 56 140 118 153 106- - - 19% 19% 20% 18% 19% 18% 16% 22% 25% 17% 15% 17% 20% 19%

j MNVirtual meeting sites (e.g.,Zoom, Teams)

- - - 308 361 194 167 104 89 72 95 145 50 149 123 135 102- - - 15% 18% 20% 16% 18% 18% 15% 23% 24% 15% 16% 18% 18% 18%

d G hJ MNWellness apps (e.g.,Meditation apps,work-outs)

- - - 292 295 143 152 66 69 64 96 125 42 109 113 95 87- - - 15% 15% 15% 15% 11% 14% 13% 23% 20% 13% 11% 17% 13% 15%

HIJ MN pMusic apps (e.g., Spotify,iTunes)

- - - 257 276 144 132 86 59 62 68 117 34 112 93 98 85- - - 13% 14% 15% 13% 15% 12% 13% 16% 19% 10% 12% 14% 13% 15%

MNGames

- - - 288 267 140 127 91 47 66 63 109 45 96 87 95 85- - - 14% 13% 15% 12% 15% 9% 14% 15% 18% 14% 10% 13% 13% 15%

I i I NNews apps

- - - 232 243 145 98 70 65 45 64 90 36 98 83 80 80- - - 11% 12% 15% 9% 12% 13% 9% 15% 15% 11% 10% 12% 11% 14%

G J NSocial media (e.g.,Facebook, Instagram,Twitter)

- - - - 229 116 113 58 44 52 76 98 26 90 83 67 79- - - - 12% 12% 11% 10% 9% 11% 18% 16% 8% 9% 12% 9% 14%

HIJ MN PStreaming services (e.g.,Netflix, Hulu)









- - - 1206 1195 536 659 292 257 347 299 377 223 528 400 446 348- - - 60% 60% 56% 63% 49% 51% 72% 72% 61% 67% 55% 59% 60% 62%

F HI HI n NWellness apps (e.g.,Meditation apps,work-outs)

- - - 1202 1192 520 673 314 260 327 291 355 225 549 389 458 346- - - 60% 60% 55% 65% 53% 52% 68% 71% 58% 68% 58% 57% 61% 62%

F HI HI LNPodcasts

- - - 1235 1168 508 659 287 252 341 288 348 208 553 395 429 343- - - 61% 59% 53% 63% 49% 50% 70% 70% 57% 63% 58% 58% 57% 61%

F HI HIDating apps

- - - 1068 1105 499 605 251 237 335 282 340 222 489 378 399 327- - - 53% 55% 52% 58% 42% 47% 69% 68% 55% 67% 51% 55% 53% 58%

F HI HI LNOn-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 1041 1038 467 571 214 221 312 290 304 188 496 339 400 299- - - 52% 52% 49% 55% 36% 44% 64% 70% 49% 56% 52% 50% 53% 53%

F H HI HI lMusic apps (e.g., Spotify,iTunes)

- - - 1020 953 437 516 191 185 299 279 343 188 372 334 344 275- - - 51% 48% 46% 50% 32% 37% 62% 68% 56% 56% 39% 49% 46% 49%

HI HI N NVirtual meeting sites (e.g.,Zoom, Teams)

- - - 895 882 406 476 202 198 247 236 280 167 388 323 309 250- - - 44% 44% 43% 46% 34% 39% 51% 57% 45% 50% 41% 47% 41% 45%

HI HI N pNews apps

- - - 929 863 409 454 137 190 286 251 270 163 388 311 316 235- - - 46% 43% 43% 44% 23% 38% 59% 61% 44% 49% 41% 46% 42% 42%

H HI HI NGames

- - - 849 761 368 393 131 142 251 237 263 126 328 261 282 218- - - 42% 38% 39% 38% 22% 28% 52% 58% 43% 38% 34% 38% 38% 39%

E h HI HI NSocial media (e.g.,Facebook, Instagram,Twitter)

- - - - 710 336 375 132 131 221 227 252 145 277 266 264 180- - - - 36% 35% 36% 22% 26% 46% 55% 41% 44% 29% 39% 35% 32%

HI HIJ N N QStreaming services (e.g.,Netflix, Hulu)



6 Apr 2020Table 107MED02_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)Base: All Respondents





- - - 524 445 248 197 196 147 65 38 101 48 276 180 154 112- - - 26% 22% 26% 19% 33% 29% 13% 9% 16% 14% 29% 26% 21% 20%

E G JK JK LM PQMore

- - - 424 443 205 239 145 121 85 93 174 63 188 125 197 122- - - 21% 22% 21% 23% 24% 24% 18% 22% 28% 19% 20% 18% 26% 22%

J J MN OLess

- - - 1068 1105 499 605 251 237 335 282 340 222 489 378 399 327- - - 53% 55% 52% 58% 42% 47% 69% 68% 55% 67% 51% 55% 53% 58%

F HI HI LNAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Social media (e.g., Facebook, Instagram, Twitter)Base: All Respondents





- - - 935 989 439 550 390 298 189 111 262 171 527 338 388 263- - - 46% 50% 46% 53% 66% 59% 39% 27% 43% 51% 55% 50% 52% 47%

F iJK JK K L LMore

- - - 232 243 145 98 70 65 45 64 90 36 98 83 80 80- - - 11% 12% 15% 9% 12% 13% 9% 15% 15% 11% 10% 12% 11% 14%

G J NLess

- - - 849 761 368 393 131 142 251 237 263 126 328 261 282 218- - - 42% 38% 39% 38% 22% 28% 52% 58% 43% 38% 34% 38% 38% 39%

E h HI HI NAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Virtual meeting sites (e.g., Zoom, Teams)Base: All Respondents





- - - 619 663 327 336 286 227 107 43 116 89 441 231 252 180- - - 31% 33% 34% 32% 48% 45% 22% 10% 19% 27% 46% 34% 34% 32%

JK JK K L LMMore

- - - 377 377 188 189 114 93 79 91 156 56 140 118 153 106- - - 19% 19% 20% 18% 19% 18% 16% 22% 25% 17% 15% 17% 20% 19%

j MNLess

- - - 1020 953 437 516 191 185 299 279 343 188 372 334 344 275- - - 51% 48% 46% 50% 32% 37% 62% 68% 56% 56% 39% 49% 46% 49%

HI HI N NAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




News appsBase: All Respondents





- - - 833 844 406 438 298 261 171 114 227 120 470 272 346 225- - - 41% 42% 43% 42% 50% 52% 35% 28% 37% 36% 49% 40% 46% 40%

JK JK K LM oqMore

- - - 288 267 140 127 91 47 66 63 109 45 96 87 95 85- - - 14% 13% 15% 12% 15% 9% 14% 15% 18% 14% 10% 13% 13% 15%

I i I NLess

- - - 895 882 406 476 202 198 247 236 280 167 388 323 309 250- - - 44% 44% 43% 46% 34% 39% 51% 57% 45% 50% 41% 47% 41% 45%

HI HI N pAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




PodcastsBase: All Respondents





- - - 399 356 203 153 148 136 52 20 83 51 216 142 132 83- - - 20% 18% 21% 15% 25% 27% 11% 5% 13% 15% 23% 21% 18% 15%

G JK JK K LM QMore

- - - 415 444 229 215 129 109 105 101 177 56 188 152 160 132- - - 21% 22% 24% 21% 22% 22% 22% 24% 29% 17% 20% 22% 21% 24%

MNLess

- - - 1202 1192 520 673 314 260 327 291 355 225 549 389 458 346- - - 60% 60% 55% 65% 53% 52% 68% 71% 58% 68% 58% 57% 61% 62%


- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Wellness apps (e.g., Meditation apps, work-outs)Base: All Respondents





- - - 502 437 222 215 195 159 65 19 93 59 276 159 168 110- - - 25% 22% 23% 21% 33% 31% 13% 5% 15% 18% 29% 23% 22% 20%

e JK JK K LMMore

- - - 308 361 194 167 104 89 72 95 145 50 149 123 135 102- - - 15% 18% 20% 16% 18% 18% 15% 23% 24% 15% 16% 18% 18% 18%

d G hJ MNLess

- - - 1206 1195 536 659 292 257 347 299 377 223 528 400 446 348- - - 60% 60% 56% 63% 49% 51% 72% 72% 61% 67% 55% 59% 60% 62%

F HI HI n NAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Music apps (e.g., Spotify, iTunes)Base: All Respondents





- - - 682 661 342 318 311 215 108 26 186 103 349 230 255 176- - - 34% 33% 36% 31% 53% 43% 22% 6% 30% 31% 37% 34% 34% 31%

G IJK JK K LMore

- - - 292 295 143 152 66 69 64 96 125 42 109 113 95 87- - - 15% 15% 15% 15% 11% 14% 13% 23% 20% 13% 11% 17% 13% 15%

HIJ MN pLess

- - - 1041 1038 467 571 214 221 312 290 304 188 496 339 400 299- - - 52% 52% 49% 55% 36% 44% 64% 70% 49% 56% 52% 50% 53% 53%

F H HI HI lAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Dating appsBase: All Respondents





- - - 200 218 148 71 97 86 24 11 55 23 135 97 80 42- - - 10% 11% 16% 7% 16% 17% 5% 3% 9% 7% 14% 14% 11% 7%

G JK JK LM QMore

- - - 581 607 296 311 207 167 120 113 212 102 265 191 241 176- - - 29% 30% 31% 30% 35% 33% 25% 27% 34% 31% 28% 28% 32% 31%

JK J NLess

- - - 1235 1168 508 659 287 252 341 288 348 208 553 395 429 343- - - 61% 59% 53% 63% 49% 50% 70% 70% 57% 63% 58% 58% 57% 61%

F HI HIAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




GamesBase: All Respondents





- - - 830 854 399 456 368 256 136 94 228 136 453 278 336 240- - - 41% 43% 42% 44% 62% 51% 28% 23% 37% 41% 48% 41% 45% 43%

IJK JK LmMore

- - - 257 276 144 132 86 59 62 68 117 34 112 93 98 85- - - 13% 14% 15% 13% 15% 12% 13% 16% 19% 10% 12% 14% 13% 15%

MNLess

- - - 929 863 409 454 137 190 286 251 270 163 388 311 316 235- - - 46% 43% 43% 44% 23% 38% 59% 61% 44% 49% 41% 46% 42% 42%

H HI HI NAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Streaming services (e.g., Netflix, Hulu)Base: All Respondents





- - - - 1053 500 553 401 331 212 109 266 162 586 334 419 301- - - - 53% 53% 53% 68% 66% 44% 27% 43% 49% 62% 49% 56% 54%

JK JK K LM OMore

- - - - 229 116 113 58 44 52 76 98 26 90 83 67 79- - - - 12% 12% 11% 10% 9% 11% 18% 16% 8% 9% 12% 9% 14%

HIJ MN PLess

- - - - 710 336 375 132 131 221 227 252 145 277 266 264 180- - - - 36% 35% 36% 22% 26% 46% 55% 41% 44% 29% 39% 35% 32%

HI HIJ N N QAbout the same

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 117MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?

Summary Of Too FewBase: All Respondents





- - - 233 252 132 120 140 65 30 17 77 36 128 86 94 72- - - 12% 13% 14% 12% 24% 13% 6% 4% 13% 11% 13% 13% 12% 13%

IJK JKGames

- - - - 226 124 102 122 57 33 14 73 33 116 73 89 64- - - - 11% 13% 10% 21% 11% 7% 3% 12% 10% 12% 11% 12% 11%

g IJK JK kStreaming services (e.g.,Netflix, Hulu)

- - - 194 208 126 82 102 65 34 6 62 25 116 72 78 59- - - 10% 10% 13% 8% 17% 13% 7% 2% 10% 8% 12% 10% 10% 11%

G JK JK K mMusic apps (e.g., Spotify,iTunes)

- - - 151 172 111 61 84 62 14 12 40 27 100 67 63 41- - - 7% 9% 12% 6% 14% 12% 3% 3% 6% 8% 11% 10% 8% 7%

G JK JK LOn-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 131 156 86 70 77 50 19 10 46 18 92 53 53 50- - - 6% 8% 9% 7% 13% 10% 4% 2% 7% 5% 10% 8% 7% 9%

JK JK mNews apps

- - - 148 154 82 73 50 55 37 13 50 17 86 53 50 51- - - 7% 8% 9% 7% 8% 11% 8% 3% 8% 5% 9% 8% 7% 9%

K K K mSocial media (e.g.,Facebook, Instagram,Twitter)

- - - 138 151 95 55 79 48 18 6 39 13 96 57 53 41- - - 7% 8% 10% 5% 13% 9% 4% 1% 6% 4% 10% 8% 7% 7%

G JK JK LMVirtual meeting sites (e.g.,Zoom, Teams)

- - - 132 147 95 52 67 59 16 5 38 11 96 57 59 32- - - 7% 7% 10% 5% 11% 12% 3% 1% 6% 3% 10% 8% 8% 6%

G JK JK k m LMWellness apps (e.g.,Meditation apps,work-outs)

- - - 126 137 86 51 62 50 13 12 36 19 78 47 56 35- - - 6% 7% 9% 5% 10% 10% 3% 3% 6% 6% 8% 7% 7% 6%

G JK JKPodcasts

- - - 130 122 80 42 66 34 16 6 40 14 66 44 40 38- - - 6% 6% 8% 4% 11% 7% 3% 1% 6% 4% 7% 6% 5% 7%

G IJK JKDating apps




Summary Of Just EnoughBase: All Respondents





- - - - 927 405 522 283 295 216 132 258 146 494 302 369 256- - - - 47% 43% 50% 48% 58% 45% 32% 42% 44% 52% 44% 49% 46%

F K HJK K LMStreaming services (e.g.,Netflix, Hulu)

- - - 839 926 409 518 276 258 231 162 285 145 461 307 385 234- - - 42% 46% 43% 50% 47% 51% 48% 39% 46% 44% 48% 45% 51% 42%

D F k K K oQSocial media (e.g.,Facebook, Instagram,Twitter)

- - - 824 809 374 435 316 258 162 74 222 120 442 266 327 215- - - 41% 41% 39% 42% 53% 51% 33% 18% 36% 36% 46% 39% 44% 38%

JK JK K LMMusic apps (e.g., Spotify,iTunes)

- - - 833 790 376 414 229 248 184 129 237 127 405 251 337 202- - - 41% 40% 40% 40% 39% 49% 38% 31% 38% 38% 43% 37% 45% 36%

k HJK k OQNews apps

- - - 766 742 316 426 258 231 152 101 213 123 381 243 282 217- - - 38% 37% 33% 41% 44% 46% 31% 25% 35% 37% 40% 36% 38% 39%

F JK JK k lGames

- - - 610 637 309 328 239 219 113 67 131 95 390 216 259 163- - - 30% 32% 32% 31% 40% 43% 23% 16% 21% 29% 41% 32% 35% 29%

JK JK K L LMVirtual meeting sites (e.g.,Zoom, Teams)

- - - 662 592 307 285 247 197 101 47 148 80 343 177 253 163- - - 33% 30% 32% 27% 42% 39% 21% 11% 24% 24% 36% 26% 34% 29%

e g JK JK K LM OOn-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 556 590 327 263 228 199 117 46 152 82 335 193 235 162- - - 28% 30% 34% 25% 39% 39% 24% 11% 25% 25% 35% 28% 31% 29%

G JK JK K LMPodcasts

- - - 620 547 267 280 215 175 100 57 150 86 293 178 235 134- - - 31% 27% 28% 27% 36% 35% 21% 14% 24% 26% 31% 26% 31% 24%

e JK JK K L oQWellness apps (e.g.,Meditation apps,work-outs)

- - - 330 339 211 127 162 121 39 16 90 43 194 128 133 78- - - 16% 17% 22% 12% 27% 24% 8% 4% 15% 13% 20% 19% 18% 14%

G JK JK K LM qDating apps




Summary Of Too ManyBase: All Respondents





- - - 663 551 266 285 220 149 104 78 152 109 275 203 192 156- - - 33% 28% 28% 27% 37% 29% 21% 19% 25% 33% 29% 30% 26% 28%

E IJK JK LSocial media (e.g.,Facebook, Instagram,Twitter)

- - - 463 414 211 203 173 99 91 51 99 77 213 142 152 120- - - 23% 21% 22% 19% 29% 20% 19% 12% 16% 23% 22% 21% 20% 21%

IJK K K L LNews apps

- - - - 314 180 134 146 86 63 20 70 54 175 108 120 87- - - - 16% 19% 13% 25% 17% 13% 5% 11% 16% 18% 16% 16% 16%

G IJK K K l LStreaming services (e.g.,Netflix, Hulu)

- - - 314 278 151 127 113 87 52 26 78 42 148 91 114 73- - - 16% 14% 16% 12% 19% 17% 11% 6% 13% 13% 16% 13% 15% 13%

g JK JK kGames

- - - 299 257 126 131 103 80 57 16 58 48 143 84 102 71- - - 15% 13% 13% 13% 17% 16% 12% 4% 9% 14% 15% 12% 14% 13%

JK K K L LOn-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 296 221 127 94 103 66 37 15 49 35 129 82 70 69- - - 15% 11% 13% 9% 17% 13% 8% 4% 8% 11% 14% 12% 9% 12%

E G JK JK K LWellness apps (e.g.,Meditation apps,work-outs)

- - - 270 218 115 104 88 71 43 16 59 41 113 71 87 61- - - 13% 11% 12% 10% 15% 14% 9% 4% 10% 12% 12% 10% 12% 11%

e JK JK KMusic apps (e.g., Spotify,iTunes)

- - - 271 211 128 83 92 59 41 19 58 38 112 90 62 58- - - 13% 11% 13% 8% 16% 12% 8% 5% 9% 11% 12% 13% 8% 10%

E G JK K k PPodcasts

- - - 237 193 114 79 88 62 33 9 43 33 110 66 73 54- - - 12% 10% 12% 8% 15% 12% 7% 2% 7% 10% 12% 10% 10% 10%

e G JK JK K LVirtual meeting sites (e.g.,Zoom, Teams)

- - - 187 177 100 78 70 57 38 12 45 30 99 58 65 54- - - 9% 9% 10% 7% 12% 11% 8% 3% 7% 9% 10% 9% 9% 10%

g jK K K lDating apps




Summary Of Too FewBase: All Respondents Excluding (I Don’t Use These Apps)





- - - 233 252 132 120 140 65 30 17 77 36 128 86 94 72- - - 18% 20% 22% 18% 27% 17% 13% 12% 21% 18% 19% 20% 19% 20%

IJKGames

- - - 130 122 80 42 66 34 16 6 40 14 66 44 40 38- - - 20% 19% 21% 17% 22% 16% 17% 17% 23% 16% 18% 19% 17% 23%

Dating apps

- - - 194 208 126 82 102 65 34 6 62 25 116 72 78 59- - - 15% 17% 21% 13% 20% 17% 14% 7% 18% 14% 17% 18% 16% 18%

G K kMusic apps (e.g., Spotify,iTunes)

- - - 151 172 111 61 84 62 14 12 40 27 100 67 63 41- - - 14% 17% 20% 13% 19% 18% 8% 16% 16% 18% 17% 20% 15% 15%

G J JOn-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 132 147 95 52 67 59 16 5 38 11 96 57 59 32- - - 13% 16% 19% 12% 17% 20% 10% 6% 16% 8% 18% 18% 16% 13%

d G k JK m MWellness apps (e.g.,Meditation apps,work-outs)

- - - - 226 124 102 122 57 33 14 73 33 116 73 89 64- - - - 15% 18% 13% 22% 13% 10% 9% 18% 14% 15% 15% 15% 16%

g IJKStreaming services (e.g.,Netflix, Hulu)

- - - 138 151 95 55 79 48 18 6 39 13 96 57 53 41- - - 14% 15% 18% 12% 19% 15% 11% 7% 18% 9% 16% 17% 14% 16%

G jk M mVirtual meeting sites (e.g.,Zoom, Teams)

- - - 126 137 86 51 62 50 13 12 36 19 78 47 56 35- - - 13% 15% 16% 13% 16% 16% 8% 15% 15% 14% 15% 14% 16% 14%

J JPodcasts

- - - 131 156 86 70 77 50 19 10 46 18 92 53 53 50- - - 9% 11% 13% 10% 16% 13% 7% 5% 12% 8% 13% 12% 10% 13%

JK JKNews apps

- - - 148 154 82 73 50 55 37 13 50 17 86 53 50 51- - - 9% 9% 11% 8% 9% 12% 10% 5% 10% 6% 10% 9% 8% 12%

K k m mSocial 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/QOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing



Summary Of Just EnoughBase: All Respondents Excluding (I Don’t Use These Apps)





- - - 824 809 374 435 316 258 162 74 222 120 442 266 327 215- - - 64% 65% 61% 70% 62% 65% 68% 77% 65% 64% 66% 65% 67% 64%

F HMusic apps (e.g., Spotify,iTunes)

- - - 610 637 309 328 239 219 113 67 131 95 390 216 259 163- - - 62% 65% 60% 71% 59% 67% 69% 81% 61% 67% 65% 64% 67% 63%

F h h HiVirtual meeting sites (e.g.,Zoom, Teams)

- - - - 927 405 522 283 295 216 132 258 146 494 302 369 256- - - - 63% 57% 69% 51% 67% 69% 79% 64% 63% 63% 63% 64% 63%

F H H HIjStreaming services (e.g.,Netflix, Hulu)

- - - 556 590 327 263 228 199 117 46 152 82 335 193 235 162- - - 58% 63% 60% 66% 60% 65% 68% 60% 62% 59% 64% 58% 67% 63%

oPodcasts

- - - 620 547 267 280 215 175 100 57 150 86 293 178 235 134- - - 59% 60% 55% 66% 56% 58% 65% 74% 63% 65% 57% 56% 65% 57%

F Hi oWellness apps (e.g.,Meditation apps,work-outs)

- - - 766 742 316 426 258 231 152 101 213 123 381 243 282 217- - - 58% 58% 53% 63% 50% 60% 65% 70% 58% 61% 58% 58% 58% 60%

F H H HiGames

- - - 833 790 376 414 229 248 184 129 237 127 405 251 337 202- - - 58% 58% 56% 60% 48% 63% 63% 68% 62% 57% 57% 56% 62% 54%

H H H qNews apps

- - - 662 592 307 285 247 197 101 47 148 80 343 177 253 163- - - 60% 58% 56% 60% 57% 58% 59% 63% 60% 52% 59% 54% 60% 59%

On-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 839 926 409 518 276 258 231 162 285 145 461 307 385 234- - - 51% 57% 54% 59% 51% 56% 62% 64% 58% 54% 56% 55% 61% 53%

D f H Hi oQSocial media (e.g.,Facebook, Instagram,Twitter)

- - - 330 339 211 127 162 121 39 16 90 43 194 128 133 78- - - 51% 53% 54% 52% 54% 57% 42% 47% 51% 50% 54% 56% 56% 46%

jDating apps




Summary Of Too ManyBase: All Respondents Excluding (I Don’t Use These Apps)





- - - 663 551 266 285 220 149 104 78 152 109 275 203 192 156- - - 40% 34% 35% 33% 40% 32% 28% 31% 31% 40% 33% 36% 31% 35%

E IJK LSocial media (e.g.,Facebook, Instagram,Twitter)

- - - 463 414 211 203 173 99 91 51 99 77 213 142 152 120- - - 32% 30% 31% 30% 36% 25% 31% 27% 26% 35% 30% 32% 28% 32%

Ik LNews apps

- - - 187 177 100 78 70 57 38 12 45 30 99 58 65 54- - - 29% 28% 25% 31% 24% 27% 41% 36% 26% 34% 28% 25% 27% 32%

HiDating apps

- - - 299 257 126 131 103 80 57 16 58 48 143 84 102 71- - - 27% 25% 23% 27% 24% 24% 33% 21% 24% 31% 24% 26% 24% 26%

hiOn-demand food deliveryapps (e.g., UberEATS,Doordash)

- - - 296 221 127 94 103 66 37 15 49 35 129 82 70 69- - - 28% 24% 26% 22% 27% 22% 24% 20% 21% 27% 25% 26% 19% 29%

PWellness apps (e.g.,Meditation apps,work-outs)

- - - 271 211 128 83 92 59 41 19 58 38 112 90 62 58- - - 28% 22% 24% 21% 24% 19% 24% 24% 24% 27% 21% 27% 18% 23%

E PPodcasts

- - - 314 278 151 127 113 87 52 26 78 42 148 91 114 73- - - 24% 22% 25% 19% 22% 23% 22% 18% 21% 21% 23% 22% 23% 20%

GGames

- - - - 314 180 134 146 86 63 20 70 54 175 108 120 87- - - - 21% 25% 18% 26% 20% 20% 12% 18% 23% 22% 22% 21% 21%

G IK k kStreaming services (e.g.,Netflix, Hulu)

- - - 237 193 114 79 88 62 33 9 43 33 110 66 73 54- - - 24% 20% 22% 17% 22% 19% 20% 11% 20% 23% 19% 19% 19% 21%

eVirtual meeting sites (e.g.,Zoom, Teams)

- - - 270 218 115 104 88 71 43 16 59 41 113 71 87 61- - - 21% 18% 19% 17% 17% 18% 18% 17% 17% 22% 17% 17% 18% 18%

Music apps (e.g., Spotify,iTunes)



6 Apr 2020Table 123MED03_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)Base: All Respondents





- - - 151 172 111 61 84 62 14 12 40 27 100 67 63 41- - - 7% 9% 12% 6% 14% 12% 3% 3% 6% 8% 11% 10% 8% 7%

G JK JK LToo few

- - - 662 592 307 285 247 197 101 47 148 80 343 177 253 163- - - 33% 30% 32% 27% 42% 39% 21% 11% 24% 24% 36% 26% 34% 29%

e g JK JK K LM OJust enough

- - - 299 257 126 131 103 80 57 16 58 48 143 84 102 71- - - 15% 13% 13% 13% 17% 16% 12% 4% 9% 14% 15% 12% 14% 13%

JK K K L LToo many

- - - 904 972 408 564 157 166 311 338 369 177 367 355 332 286- - - 45% 49% 43% 54% 27% 33% 64% 82% 60% 53% 38% 52% 44% 51%

d F h HI HIJ mN N P pI don’t use these apps

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Social media (e.g., Facebook, Instagram, Twitter)Base: All Respondents





- - - 148 154 82 73 50 55 37 13 50 17 86 53 50 51- - - 7% 8% 9% 7% 8% 11% 8% 3% 8% 5% 9% 8% 7% 9%

K K K mToo few

- - - 839 926 409 518 276 258 231 162 285 145 461 307 385 234- - - 42% 46% 43% 50% 47% 51% 48% 39% 46% 44% 48% 45% 51% 42%

D F k K K oQJust enough

- - - 663 551 266 285 220 149 104 78 152 109 275 203 192 156- - - 33% 28% 28% 27% 37% 29% 21% 19% 25% 33% 29% 30% 26% 28%

E IJK JK LToo many

- - - 366 361 195 166 45 44 113 159 128 62 132 119 123 120- - - 18% 18% 21% 16% 8% 9% 23% 39% 21% 19% 14% 17% 16% 21%

G HI HIJ N n pI don’t use these apps

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Virtual meeting sites (e.g., Zoom, Teams)Base: All Respondents





- - - 138 151 95 55 79 48 18 6 39 13 96 57 53 41- - - 7% 8% 10% 5% 13% 9% 4% 1% 6% 4% 10% 8% 7% 7%

G JK JK LMToo few

- - - 610 637 309 328 239 219 113 67 131 95 390 216 259 163- - - 30% 32% 32% 31% 40% 43% 23% 16% 21% 29% 41% 32% 35% 29%

JK JK K L LMJust enough

- - - 237 193 114 79 88 62 33 9 43 33 110 66 73 54- - - 12% 10% 12% 8% 15% 12% 7% 2% 7% 10% 12% 10% 10% 10%

e G JK JK K LToo many

- - - 1031 1012 434 579 185 177 320 330 402 192 358 344 365 303- - - 51% 51% 46% 56% 31% 35% 66% 80% 65% 58% 38% 50% 49% 54%

F HI HIJ MN NI don’t use these apps

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




News appsBase: All Respondents





- - - 131 156 86 70 77 50 19 10 46 18 92 53 53 50- - - 6% 8% 9% 7% 13% 10% 4% 2% 7% 5% 10% 8% 7% 9%

JK JK mToo few

- - - 833 790 376 414 229 248 184 129 237 127 405 251 337 202- - - 41% 40% 40% 40% 39% 49% 38% 31% 38% 38% 43% 37% 45% 36%

k HJK k OQJust enough

- - - 463 414 211 203 173 99 91 51 99 77 213 142 152 120- - - 23% 21% 22% 19% 29% 20% 19% 12% 16% 23% 22% 21% 20% 21%

IJK K K L LToo many

- - - 590 633 279 354 112 109 190 222 234 111 243 236 207 189- - - 29% 32% 29% 34% 19% 21% 39% 54% 38% 33% 25% 35% 28% 34%

f HI HIJ N N P pI don’t use these apps

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




PodcastsBase: All Respondents





- - - 126 137 86 51 62 50 13 12 36 19 78 47 56 35- - - 6% 7% 9% 5% 10% 10% 3% 3% 6% 6% 8% 7% 7% 6%

G JK JKToo few

- - - 556 590 327 263 228 199 117 46 152 82 335 193 235 162- - - 28% 30% 34% 25% 39% 39% 24% 11% 25% 25% 35% 28% 31% 29%

G JK JK K LMJust enough

- - - 271 211 128 83 92 59 41 19 58 38 112 90 62 58- - - 13% 11% 13% 8% 16% 12% 8% 5% 9% 11% 12% 13% 8% 10%

E G JK K k PToo many

- - - 1063 1055 411 644 209 197 313 335 370 194 427 352 397 306- - - 53% 53% 43% 62% 35% 39% 65% 81% 60% 58% 45% 52% 53% 55%

F HI HIJ N NI don’t use these apps

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Wellness apps (e.g., Meditation apps, work-outs)Base: All Respondents





- - - 132 147 95 52 67 59 16 5 38 11 96 57 59 32- - - 7% 7% 10% 5% 11% 12% 3% 1% 6% 3% 10% 8% 8% 6%

G JK JK k m LMToo few

- - - 620 547 267 280 215 175 100 57 150 86 293 178 235 134- - - 31% 27% 28% 27% 36% 35% 21% 14% 24% 26% 31% 26% 31% 24%

e JK JK K L oQJust enough

- - - 296 221 127 94 103 66 37 15 49 35 129 82 70 69- - - 15% 11% 13% 9% 17% 13% 8% 4% 8% 11% 14% 12% 9% 12%

E G JK JK K LToo many

- - - 969 1077 463 614 206 205 332 335 379 201 436 365 386 326- - - 48% 54% 49% 59% 35% 40% 68% 81% 62% 60% 46% 54% 51% 58%

D F HI HIJ N N pI don’t use these apps

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Music apps (e.g., Spotify, iTunes)Base: All Respondents





- - - 194 208 126 82 102 65 34 6 62 25 116 72 78 59- - - 10% 10% 13% 8% 17% 13% 7% 2% 10% 8% 12% 10% 10% 11%

G JK JK K mToo few

- - - 824 809 374 435 316 258 162 74 222 120 442 266 327 215- - - 41% 41% 39% 42% 53% 51% 33% 18% 36% 36% 46% 39% 44% 38%

JK JK K LMJust enough

- - - 270 218 115 104 88 71 43 16 59 41 113 71 87 61- - - 13% 11% 12% 10% 15% 14% 9% 4% 10% 12% 12% 10% 12% 11%

e JK JK KToo many

- - - 728 757 337 420 85 111 245 316 273 146 281 274 258 226- - - 36% 38% 35% 40% 14% 22% 51% 77% 44% 44% 30% 40% 34% 40%

f H HI HIJ N N p pI don’t use these apps

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Dating appsBase: All Respondents





- - - 130 122 80 42 66 34 16 6 40 14 66 44 40 38- - - 6% 6% 8% 4% 11% 7% 3% 1% 6% 4% 7% 6% 5% 7%

G IJK JKToo few

- - - 330 339 211 127 162 121 39 16 90 43 194 128 133 78- - - 16% 17% 22% 12% 27% 24% 8% 4% 15% 13% 20% 19% 18% 14%

G JK JK K LM qJust enough

- - - 187 177 100 78 70 57 38 12 45 30 99 58 65 54- - - 9% 9% 10% 7% 12% 11% 8% 3% 7% 9% 10% 9% 9% 10%

g jK K K lToo many

- - - 1369 1355 561 794 292 293 391 378 441 246 595 452 512 391- - - 68% 68% 59% 76% 49% 58% 81% 92% 72% 74% 62% 66% 68% 70%

F H HI HIJ N NI don’t use these apps

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




GamesBase: All Respondents





- - - 233 252 132 120 140 65 30 17 77 36 128 86 94 72- - - 12% 13% 14% 12% 24% 13% 6% 4% 13% 11% 13% 13% 12% 13%

IJK JKToo few

- - - 766 742 316 426 258 231 152 101 213 123 381 243 282 217- - - 38% 37% 33% 41% 44% 46% 31% 25% 35% 37% 40% 36% 38% 39%

F JK JK k lJust enough

- - - 314 278 151 127 113 87 52 26 78 42 148 91 114 73- - - 16% 14% 16% 12% 19% 17% 11% 6% 13% 13% 16% 13% 15% 13%

g JK JK kToo many

- - - 704 721 354 367 80 123 251 268 247 131 297 263 260 198- - - 35% 36% 37% 35% 14% 24% 52% 65% 40% 39% 31% 39% 35% 35%

H HI HIJ N NI don’t use these apps

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Streaming services (e.g., Netflix, Hulu)Base: All Respondents





- - - - 226 124 102 122 57 33 14 73 33 116 73 89 64- - - - 11% 13% 10% 21% 11% 7% 3% 12% 10% 12% 11% 12% 11%

g IJK JK kToo few

- - - - 927 405 522 283 295 216 132 258 146 494 302 369 256- - - - 47% 43% 50% 48% 58% 45% 32% 42% 44% 52% 44% 49% 46%

F K HJK K LMJust enough

- - - - 314 180 134 146 86 63 20 70 54 175 108 120 87- - - - 16% 19% 13% 25% 17% 13% 5% 11% 16% 18% 16% 16% 16%

G IJK K K l LToo many

- - - - 526 243 283 40 68 173 245 215 100 168 200 173 153- - - - 26% 26% 27% 7% 13% 36% 59% 35% 30% 18% 29% 23% 27%

H HI HIJ N N PI don’t use these apps

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 133MED04 Do you ever click on the ads you see related to COVID19?






- - - 844 903 449 455 296 279 192 136 310 131 432 290 377 236- - - 42% 45% 47% 44% 50% 55% 40% 33% 50% 39% 45% 42% 50% 42%

d JK JK M OQAlways/Often/Sometimes(Net)

- - - 159 154 103 51 50 76 24 5 38 15 98 72 60 22- - - 8% 8% 11% 5% 8% 15% 5% 1% 6% 4% 10% 11% 8% 4%

G jK HJK K LM Q Q Always

- - - 171 220 103 116 80 81 39 19 63 39 109 61 98 61- - - 8% 11% 11% 11% 14% 16% 8% 5% 10% 12% 11% 9% 13% 11%

D JK JK k O Often

- - - 513 529 242 287 166 122 129 112 209 77 225 158 219 153- - - 25% 27% 25% 28% 28% 24% 27% 27% 34% 23% 24% 23% 29% 27%

MN O Sometimes

- - - 1172 1090 504 586 295 226 292 276 305 202 521 393 372 325- - - 58% 55% 53% 56% 50% 45% 60% 67% 50% 61% 55% 58% 50% 58%

e HI HI L P PNever/Rarely (Net)

- - - 371 394 176 218 126 82 83 103 118 71 190 144 149 100- - - 18% 20% 18% 21% 21% 16% 17% 25% 19% 21% 20% 21% 20% 18%

i IJ Rarely

- - - 801 696 328 368 169 144 210 173 187 131 331 249 223 224- - - 40% 35% 34% 35% 29% 28% 43% 42% 30% 39% 35% 36% 30% 40%

E HI HI L P P Never

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 134MED05 What is your opinion of companies who create advertisements about COVID-19?






- - - 817 753 341 412 224 212 168 149 245 133 337 251 307 195- - - 41% 38% 36% 40% 38% 42% 35% 36% 40% 40% 35% 37% 41% 35%

j qI think it is a good thingregardless of actions theyhave taken, it shows theycare

- - - 693 721 332 389 209 167 180 165 222 125 334 245 271 205- - - 34% 36% 35% 37% 35% 33% 37% 40% 36% 38% 35% 36% 36% 37%

iMarketers should onlyadvertise if they are havetaken action to addressCOVID19

- - - 506 519 280 240 158 127 136 99 148 75 283 186 172 161- - - 25% 26% 29% 23% 27% 25% 28% 24% 24% 23% 30% 27% 23% 29%

G LM pI think they’re just doing itfor publicity, most of themfeel contrived/forced

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 162MED07 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

Summary Of MoreBase: All Respondents





- - - 629 662 334 328 249 211 127 75 152 99 393 240 257 165- - - 31% 33% 35% 31% 42% 42% 26% 18% 25% 30% 41% 35% 34% 29%

JK JK K LM qAmazon Prime

- - - 331 303 188 115 144 108 40 11 60 40 192 125 105 72- - - 16% 15% 20% 11% 24% 21% 8% 3% 10% 12% 20% 18% 14% 13%

G JK JK K LM pQDoorDash

- - - 341 288 199 89 154 101 26 7 54 37 192 128 95 65- - - 17% 14% 21% 9% 26% 20% 5% 2% 9% 11% 20% 19% 13% 12%

e G iJK JK K LM PQUberEATS

- - - 303 250 175 75 113 99 25 14 47 32 165 104 100 46- - - 15% 13% 18% 7% 19% 20% 5% 3% 8% 10% 17% 15% 13% 8%

e G JK JK LM Q QGrubHub

- - - 270 236 164 72 112 95 19 10 41 25 166 110 68 58- - - 13% 12% 17% 7% 19% 19% 4% 2% 7% 8% 17% 16% 9% 10%

G JK JK LM PQPostMates

- - - 201 181 128 53 90 74 11 6 30 19 131 88 52 41- - - 10% 9% 13% 5% 15% 15% 2% 1% 5% 6% 14% 13% 7% 7%

G JK JK LM PQHelloFresh




Summary Of LessBase: All Respondents





- - - 495 508 280 228 166 142 109 90 198 72 208 159 214 135- - - 25% 25% 29% 22% 28% 28% 23% 22% 32% 22% 22% 23% 29% 24%

G k k MN oHelloFresh

- - - 461 495 247 249 162 140 111 82 193 79 199 153 200 142- - - 23% 25% 26% 24% 27% 28% 23% 20% 31% 24% 21% 22% 27% 25%

K K MNGrubHub

- - - 442 483 240 243 147 140 111 86 185 69 202 153 201 130- - - 22% 24% 25% 23% 25% 28% 23% 21% 30% 21% 21% 22% 27% 23%

k MNUberEATS

- - - 448 479 244 235 156 130 107 86 195 76 182 163 185 132- - - 22% 24% 26% 23% 26% 26% 22% 21% 32% 23% 19% 24% 25% 24%

MNDoorDash

- - - 463 471 243 228 147 132 105 87 187 73 186 147 200 124- - - 23% 24% 26% 22% 25% 26% 22% 21% 30% 22% 19% 22% 27% 22%

MN oPostMates

- - - 369 345 178 168 117 89 73 65 139 50 139 105 134 107- - - 18% 17% 19% 16% 20% 18% 15% 16% 23% 15% 15% 15% 18% 19%

MNAmazon Prime









- - - 1320 1304 544 760 335 289 364 317 387 242 615 435 484 385- - - 65% 65% 57% 73% 57% 57% 75% 77% 63% 73% 65% 64% 65% 69%

F HI HI LNHelloFresh

- - - 1282 1286 545 741 331 278 361 316 388 235 601 426 482 379- - - 64% 65% 57% 71% 56% 55% 74% 77% 63% 70% 63% 62% 64% 68%

F HI HI LNPostMates

- - - 1252 1248 531 717 316 267 348 317 376 222 589 425 450 373- - - 62% 63% 56% 69% 53% 53% 72% 77% 61% 67% 62% 62% 60% 66%

F HI HI pGrubHub

- - - 1233 1222 513 709 290 265 348 319 377 227 559 402 453 366- - - 61% 61% 54% 68% 49% 52% 72% 77% 61% 68% 59% 59% 60% 65%

F HI HI lN oUberEATS

- - - 1236 1211 520 691 291 267 338 316 360 217 579 395 460 356- - - 61% 61% 55% 66% 49% 53% 70% 77% 59% 65% 61% 58% 61% 64%

F HI HIj lDoorDash

- - - 1018 986 440 545 224 206 284 272 325 184 421 338 359 289- - - 51% 49% 46% 52% 38% 41% 59% 66% 53% 55% 44% 49% 48% 52%

F HI HIj N NAmazon Prime



6 Apr 2020Table 165MED07_1 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?

Amazon PrimeBase: All Respondents





- - - 629 662 334 328 249 211 127 75 152 99 393 240 257 165- - - 31% 33% 35% 31% 42% 42% 26% 18% 25% 30% 41% 35% 34% 29%

JK JK K LM qMore

- - - 369 345 178 168 117 89 73 65 139 50 139 105 134 107- - - 18% 17% 19% 16% 20% 18% 15% 16% 23% 15% 15% 15% 18% 19%

MNLess

- - - 1018 986 440 545 224 206 284 272 325 184 421 338 359 289- - - 51% 49% 46% 52% 38% 41% 59% 66% 53% 55% 44% 49% 48% 52%

F HI HIj N NAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




UberEATSBase: All Respondents





- - - 341 288 199 89 154 101 26 7 54 37 192 128 95 65- - - 17% 14% 21% 9% 26% 20% 5% 2% 9% 11% 20% 19% 13% 12%

e G iJK JK K LM PQMore

- - - 442 483 240 243 147 140 111 86 185 69 202 153 201 130- - - 22% 24% 25% 23% 25% 28% 23% 21% 30% 21% 21% 22% 27% 23%

k MNLess

- - - 1233 1222 513 709 290 265 348 319 377 227 559 402 453 366- - - 61% 61% 54% 68% 49% 52% 72% 77% 61% 68% 59% 59% 60% 65%

F HI HI lN oAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




GrubHubBase: All Respondents





- - - 303 250 175 75 113 99 25 14 47 32 165 104 100 46- - - 15% 13% 18% 7% 19% 20% 5% 3% 8% 10% 17% 15% 13% 8%

e G JK JK LM Q QMore

- - - 461 495 247 249 162 140 111 82 193 79 199 153 200 142- - - 23% 25% 26% 24% 27% 28% 23% 20% 31% 24% 21% 22% 27% 25%

K K MNLess

- - - 1252 1248 531 717 316 267 348 317 376 222 589 425 450 373- - - 62% 63% 56% 69% 53% 53% 72% 77% 61% 67% 62% 62% 60% 66%

F HI HI pAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




PostMatesBase: All Respondents





- - - 270 236 164 72 112 95 19 10 41 25 166 110 68 58- - - 13% 12% 17% 7% 19% 19% 4% 2% 7% 8% 17% 16% 9% 10%

G JK JK LM PQMore

- - - 463 471 243 228 147 132 105 87 187 73 186 147 200 124- - - 23% 24% 26% 22% 25% 26% 22% 21% 30% 22% 19% 22% 27% 22%

MN oLess

- - - 1282 1286 545 741 331 278 361 316 388 235 601 426 482 379- - - 64% 65% 57% 71% 56% 55% 74% 77% 63% 70% 63% 62% 64% 68%


- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




HelloFreshBase: All Respondents





- - - 201 181 128 53 90 74 11 6 30 19 131 88 52 41- - - 10% 9% 13% 5% 15% 15% 2% 1% 5% 6% 14% 13% 7% 7%

G JK JK LM PQMore

- - - 495 508 280 228 166 142 109 90 198 72 208 159 214 135- - - 25% 25% 29% 22% 28% 28% 23% 22% 32% 22% 22% 23% 29% 24%

G k k MN oLess

- - - 1320 1304 544 760 335 289 364 317 387 242 615 435 484 385- - - 65% 65% 57% 73% 57% 57% 75% 77% 63% 73% 65% 64% 65% 69%


- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




DoorDashBase: All Respondents





- - - 331 303 188 115 144 108 40 11 60 40 192 125 105 72- - - 16% 15% 20% 11% 24% 21% 8% 3% 10% 12% 20% 18% 14% 13%

G JK JK K LM pQMore

- - - 448 479 244 235 156 130 107 86 195 76 182 163 185 132- - - 22% 24% 26% 23% 26% 26% 22% 21% 32% 23% 19% 24% 25% 24%

MNLess

- - - 1236 1211 520 691 291 267 338 316 360 217 579 395 460 356- - - 61% 61% 55% 66% 49% 53% 70% 77% 59% 65% 61% 58% 61% 64%

F HI HIj lAbout the same

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 171Q25 How satisfied have you been with the way different levels of the government have responded to coronavirus (COVID-19)

thus far?Summary Of Satisfied






1513 1532 1532 1531 1439 685 754 400 359 351 330 437 237 697 511 557 37074% 76% 76% 76% 72% 72% 72% 68% 71% 72% 80% 71% 71% 73% 75% 74% 66%

E E E HIJ Q QYour local government

1523 1478 1540 1507 1430 668 762 404 351 346 330 438 227 698 515 555 36074% 73% 76% 75% 72% 70% 73% 68% 69% 71% 80% 71% 68% 73% 75% 74% 64%

bE e HIJ Q QYour state government

1208 1211 1263 1238 1053 510 544 313 302 229 210 327 177 504 527 274 25359% 60% 62% 61% 53% 54% 52% 53% 60% 47% 51% 53% 53% 53% 77% 37% 45%E E aE E hJK PQ P

The federal government



6 Apr 2020Table 172Q25_1 How satisfied have you been with the way different levels of the government have responded to coronavirus (COVID-19)

thus far?The federal government






1208 1211 1263 1238 1053 510 544 313 302 229 210 327 177 504 527 274 25359% 60% 62% 61% 53% 54% 52% 53% 60% 47% 51% 53% 53% 53% 77% 37% 45%E E aE E hJK PQ P

Very/Somewhat Satisfied(Net)

459 478 521 517 414 215 199 106 124 92 93 128 73 203 247 88 7922% 24% 26% 26% 21% 23% 19% 18% 24% 19% 22% 21% 22% 21% 36% 12% 14%

e AE aE Hj PQ Very satisfied

750 733 742 720 639 295 344 207 178 137 117 199 104 301 280 186 17437% 36% 37% 36% 32% 31% 33% 35% 35% 28% 28% 32% 31% 32% 41% 25% 31%E E E e jk jk PQ p

Somewhat satisfied

842 808 760 778 940 443 497 278 204 256 203 289 156 449 156 476 30841% 40% 38% 39% 47% 46% 48% 47% 40% 53% 49% 47% 47% 47% 23% 63% 55%

c ABCD i I I OQ OVery/SomewhatDissatisfied (Net)

378 401 371 360 439 208 230 143 89 120 87 142 68 205 95 187 15618% 20% 18% 18% 22% 22% 22% 24% 18% 25% 21% 23% 20% 22% 14% 25% 28%

ACD I I O O Somewhat dissatisfied

464 407 389 418 501 234 267 134 115 136 116 147 88 244 61 289 15123% 20% 19% 21% 25% 25% 26% 23% 23% 28% 28% 24% 27% 26% 9% 39% 27%C BCD OQ O

Very dissatisfied

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




thus far?Your state government






1523 1478 1540 1507 1430 668 762 404 351 346 330 438 227 698 515 555 36074% 73% 76% 75% 72% 70% 73% 68% 69% 71% 80% 71% 68% 73% 75% 74% 64%

bE e HIJ Q QVery/Somewhat Satisfied(Net)

547 575 663 684 597 283 315 154 147 147 150 186 87 302 230 249 11827% 29% 33% 34% 30% 30% 30% 26% 29% 30% 36% 30% 26% 32% 34% 33% 21%

AB ABE a Hi Q Q Very satisfied

977 903 878 823 833 385 448 250 204 199 180 253 140 396 285 306 24248% 45% 43% 41% 42% 40% 43% 42% 40% 41% 44% 41% 42% 42% 42% 41% 43%

CDE d Somewhat satisfied

527 541 483 509 563 284 279 187 155 139 82 177 106 255 168 194 20026% 27% 24% 25% 28% 30% 27% 32% 31% 29% 20% 29% 32% 27% 25% 26% 36%

c Cd K K K OPVery/SomewhatDissatisfied (Net)

332 364 308 308 316 168 148 94 88 90 45 101 51 146 106 100 11116% 18% 15% 15% 16% 18% 14% 16% 17% 19% 11% 16% 15% 15% 16% 13% 20%

cd k K K P Somewhat dissatisfied

195 177 175 201 246 116 130 93 67 49 37 76 55 109 62 95 9010% 9% 9% 10% 12% 12% 12% 16% 13% 10% 9% 12% 16% 11% 9% 13% 16%

ABCd JK n o O Very dissatisfied

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




thus far?Your local government






1513 1532 1532 1531 1439 685 754 400 359 351 330 437 237 697 511 557 37074% 76% 76% 76% 72% 72% 72% 68% 71% 72% 80% 71% 71% 73% 75% 74% 66%

E E E HIJ Q QVery/Somewhat Satisfied(Net)

490 524 585 616 534 255 278 151 142 120 120 158 78 278 193 224 11724% 26% 29% 31% 27% 27% 27% 26% 28% 25% 29% 26% 24% 29% 28% 30% 21%

A ABE Q Q Very satisfied

1023 1007 947 914 906 429 476 249 217 231 210 279 159 419 319 333 25450% 50% 47% 45% 45% 45% 46% 42% 43% 48% 51% 45% 48% 44% 47% 44% 45%DE DE Hi

Somewhat satisfied

537 487 491 485 554 267 287 191 146 134 83 179 96 256 171 192 19026% 24% 24% 24% 28% 28% 28% 32% 29% 28% 20% 29% 29% 27% 25% 26% 34%

BCD K K K OPVery/SomewhatDissatisfied (Net)

342 319 329 315 341 166 175 111 88 96 46 109 50 168 104 119 11817% 16% 16% 16% 17% 17% 17% 19% 17% 20% 11% 18% 15% 18% 15% 16% 21%

K K K Op Somewhat dissatisfied

195 168 162 170 213 101 112 80 59 38 37 69 46 88 68 73 7210% 8% 8% 8% 11% 11% 11% 14% 12% 8% 9% 11% 14% 9% 10% 10% 13%

BCd Jk n Very dissatisfied

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 175Q33 How much do you agree or disagree with the following statement?

"The United States Government was adequately prepared for the coronavirus outbreak."Base: All Respondents





903 869 795 611 545 307 238 172 184 103 85 163 88 276 288 132 12544% 43% 39% 30% 27% 32% 23% 29% 36% 21% 21% 27% 26% 29% 42% 18% 22%

CDE cDE DE G JK HJK PQStrongly/Somewhat Agree(Net)

288 269 229 209 219 141 78 75 85 38 22 71 21 125 114 72 3414% 13% 11% 10% 11% 15% 8% 13% 17% 8% 5% 11% 6% 13% 17% 10% 6%

CDE De G JK JK M M PQ q Strongly agree

615 600 566 402 326 166 159 98 99 65 64 93 67 151 174 60 9130% 30% 28% 20% 16% 17% 15% 17% 20% 13% 15% 15% 20% 16% 26% 8% 16%DE DE DE E J l PQ P

Somewhat agree

1147 1150 1228 1405 1448 645 803 419 321 381 327 452 245 677 395 617 43656% 57% 61% 70% 73% 68% 77% 71% 64% 79% 79% 73% 74% 71% 58% 82% 78%

Ab ABC ABC F I HI HI O OStrongly/SomewhatDisagree (Net)

586 557 557 538 570 251 318 181 119 144 126 179 95 267 251 144 17429% 28% 28% 27% 29% 26% 31% 31% 24% 30% 31% 29% 29% 28% 37% 19% 31%

I i i Pq P Somewhat disagree

561 593 670 867 878 394 485 238 202 238 201 273 150 410 144 473 26227% 29% 33% 43% 44% 41% 47% 40% 40% 49% 49% 44% 45% 43% 21% 63% 47%

AB ABC ABC f HI HI OQ O Strongly disagree

2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 176Q33B 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: All Respondents

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)

1993 1993 1993 1993 1993 1993 1993 1993 1993 1993 1993 1993Unweighted Base1993 1993 1993 1993 1993 1993 1993 1993 1993 1993 1993 1993Weighted Base

101 176 71 238 93 109 368 117 123 119 119 1765% 9% 4% 12% 5% 5% 18% 6% 6% 6% 6% 9%C ACEFHIJK ABCEFHIJKL c C ABCDEFHIJKL Ce CE Ce Ce ACEFHIJK

Immediately

187 253 85 569 152 203 363 195 322 298 224 3059% 13% 4% 29% 8% 10% 18% 10% 16% 15% 11% 15%

Ce ACEFH ABCEFGHIJKL C CE ABCEFHJKL CE ABCEFHK AbCEFHK aCE ABCEFHK1-30 days

286 259 121 464 235 365 221 269 400 420 250 37714% 13% 6% 23% 12% 18% 11% 13% 20% 21% 13% 19%

CEG Cg ABCEFGHIKL C ABCEGHK C CG ABCEGHK ABCEFGHK C ABCEGHK2-3 months

285 176 159 311 217 375 136 282 310 326 181 28914% 9% 8% 16% 11% 19% 7% 14% 16% 16% 9% 14%

BCEGK G BCEGK bCG ABCDEGHIjKL BCEGK BCEGK BCEGhK G BCEGK4-6 months

179 101 139 120 150 211 63 163 160 190 107 1429% 5% 7% 6% 8% 11% 3% 8% 8% 10% 5% 7%

BCDGKl G BGk G BGK BCDEGHIKL BDGK BDGK BCDEGKL G BGK7-11 months

384 115 411 151 278 317 55 269 221 221 184 28619% 6% 21% 8% 14% 16% 3% 14% 11% 11% 9% 14%

BDEFGHIJKL G BDEFGHIJKL BG BDGIJK BDeGHIJK BDGIJK BDGk BDGk BdG BDGIJKA year or longer

110 109 291 30 103 64 40 92 76 73 124 2456% 5% 15% 2% 5% 3% 2% 5% 4% 4% 6% 12%

DFGIJ DFGIJ ABDEFGHIJKl DFGIJ DG DFG DG DG DFGHIJ ABDEFGHIJKNever again

461 803 717 111 766 349 746 607 381 346 803 17323% 40% 36% 6% 38% 18% 37% 30% 19% 17% 40% 9%

DFIJL ACDFGHIJL ADFHIJL AcDFHIJL DL ADFHIJL ADFIJL DL DL ACDFGHIJL DNot applicable

1993 1993 1993 1993 1993 1993 1993 1993 1993 1993 1993 1993100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma

__________________________________________________________Proportions/Means: All Columns Tested (5%, 10% risk level)Overlap formulae used.



of the following?Summary Of Immediately






- - 438 432 368 206 162 107 133 101 28 70 61 223 137 147 83- - 22% 21% 18% 22% 16% 18% 26% 21% 7% 11% 18% 23% 20% 20% 15%

E e G K HK K L L q qGo to the office

- - 300 265 238 130 108 82 74 59 23 59 37 138 106 74 58- - 15% 13% 12% 14% 10% 14% 15% 12% 6% 10% 11% 14% 16% 10% 10%

E g K K K L PQGo out to dinner

- - 157 164 176 110 67 60 65 43 8 28 25 118 68 55 53- - 8% 8% 9% 12% 6% 10% 13% 9% 2% 5% 8% 12% 10% 7% 9%

G K K K l LmGo to a gym class

- - 200 190 176 117 60 62 57 34 23 45 31 90 70 52 55- - 10% 9% 9% 12% 6% 11% 11% 7% 6% 7% 9% 9% 10% 7% 10%

G K jK pGreet people with ahandshake

- - 149 115 123 80 43 41 47 27 7 27 20 71 37 49 36- - 7% 6% 6% 8% 4% 7% 9% 6% 2% 4% 6% 7% 5% 7% 6%

d G K jK K LGo to the movies

- - 177 140 119 84 35 40 45 21 13 30 28 59 41 46 31- - 9% 7% 6% 9% 3% 7% 9% 4% 3% 5% 8% 6% 6% 6% 6%

dE G K JK lTake public transportation(e.g., subway, busses,trains)

- - 146 119 119 70 49 51 40 23 5 31 23 63 50 37 32- - 7% 6% 6% 7% 5% 9% 8% 5% 1% 5% 7% 7% 7% 5% 6%

G JK K KHost/attend a large socialgathering

- - 145 118 117 83 34 45 38 28 6 24 19 73 51 42 24- - 7% 6% 6% 9% 3% 8% 8% 6% 1% 4% 6% 8% 7% 6% 4%

G K K K L qGo to a sporting event

- - 152 138 109 63 46 30 45 21 13 18 19 69 52 28 29- - 8% 7% 5% 7% 4% 5% 9% 4% 3% 3% 6% 7% 8% 4% 5%

E g HJK l L PStay in a hotel

- - 126 102 101 67 34 32 46 18 5 18 16 66 48 29 25- - 6% 5% 5% 7% 3% 5% 9% 4% 1% 3% 5% 7% 7% 4% 4%

G K hJK k L PFly on a plane

- - 127 102 93 70 23 24 40 19 10 21 20 49 40 27 26- - 6% 5% 5% 7% 2% 4% 8% 4% 2% 3% 6% 5% 6% 4% 5%

e G HJK lVisit a casino

- - 92 66 71 48 22 19 35 11 6 15 11 44 32 19 20- - 5% 3% 4% 5% 2% 3% 7% 2% 1% 2% 3% 5% 5% 3% 4%

d G HJK l pTake a cruise




of the following?Summary Of 1-30 Days






- - 571 557 569 294 275 179 140 132 118 150 109 277 191 225 152- - 28% 28% 29% 31% 26% 30% 28% 27% 29% 24% 33% 29% 28% 30% 27%

g L lGo out to dinner

- - 393 411 363 168 194 147 106 78 33 86 52 211 117 136 110- - 19% 20% 18% 18% 19% 25% 21% 16% 8% 14% 16% 22% 17% 18% 20%

JK K K LMGo to the office

- - 351 305 322 182 140 129 85 68 40 77 57 173 119 130 73- - 17% 15% 16% 19% 13% 22% 17% 14% 10% 13% 17% 18% 17% 17% 13%

G JK K L q qGo to the movies

- - 393 322 305 177 128 110 88 65 42 77 55 162 103 115 86- - 19% 16% 15% 19% 12% 19% 17% 13% 10% 13% 17% 17% 15% 15% 15%

DE G jK K lGreet people with ahandshake

- - 336 297 298 156 142 119 83 61 35 65 54 168 110 103 85- - 17% 15% 15% 16% 14% 20% 16% 13% 9% 11% 16% 18% 16% 14% 15%

JK K L LHost/attend a large socialgathering

- - 336 316 253 141 112 112 67 46 28 59 48 140 82 106 65- - 17% 16% 13% 15% 11% 19% 13% 9% 7% 10% 15% 15% 12% 14% 12%

E E G IJK K L LGo to a gym class

- - 253 285 224 124 100 105 65 39 15 66 34 118 65 104 54- - 13% 14% 11% 13% 10% 18% 13% 8% 4% 11% 10% 12% 10% 14% 10%

E g iJK jK K OqTake public transportation(e.g., subway, busses,trains)

- - 256 224 203 120 83 86 57 40 20 44 48 109 72 72 59- - 13% 11% 10% 13% 8% 15% 11% 8% 5% 7% 14% 11% 10% 10% 11%

e G JK K L LStay in a hotel

- - 248 221 195 127 68 67 78 32 17 41 24 121 64 75 55- - 12% 11% 10% 13% 7% 11% 15% 7% 4% 7% 7% 13% 9% 10% 10%

E G JK JK LMGo to a sporting event

- - 188 196 187 113 73 77 56 29 25 33 32 116 56 86 44- - 9% 10% 9% 12% 7% 13% 11% 6% 6% 5% 10% 12% 8% 11% 8%

G JK JK L L qFly on a plane

- - 185 190 152 86 67 60 44 26 22 37 28 80 56 53 44- - 9% 9% 8% 9% 6% 10% 9% 5% 5% 6% 9% 8% 8% 7% 8%

g JKVisit a casino

- - 103 94 85 57 28 34 36 10 4 19 15 49 32 30 22- - 5% 5% 4% 6% 3% 6% 7% 2% 1% 3% 4% 5% 5% 4% 4%

G JK JKTake a cruise




of the following?Summary Of 2-3 Months






- - 466 500 464 214 249 134 110 114 105 132 85 230 153 159 152- - 23% 25% 23% 23% 24% 23% 22% 24% 26% 21% 26% 24% 22% 21% 27%

pGo out to dinner

- - 437 410 420 209 212 151 105 97 68 100 67 228 155 154 111- - 22% 20% 21% 22% 20% 26% 21% 20% 16% 16% 20% 24% 23% 21% 20%

jK LHost/attend a large socialgathering

- - 420 446 400 189 211 157 115 85 43 99 62 228 133 141 126- - 21% 22% 20% 20% 20% 27% 23% 18% 10% 16% 19% 24% 19% 19% 23%

JK K K LGo to the movies

- - 424 401 377 204 173 111 106 100 60 96 63 201 135 141 101- - 21% 20% 19% 21% 17% 19% 21% 21% 14% 16% 19% 21% 20% 19% 18%

G K k LGreet people with ahandshake

- - 398 376 365 195 170 117 107 83 57 74 55 219 149 132 84- - 20% 19% 18% 20% 16% 20% 21% 17% 14% 12% 17% 23% 22% 18% 15%

g k K l LM QStay in a hotel

- - 327 292 286 157 129 96 96 50 44 44 38 200 120 96 69- - 16% 14% 14% 16% 12% 16% 19% 10% 11% 7% 11% 21% 18% 13% 12%

G JK JK L LM PQFly on a plane

- - 353 318 269 153 116 109 78 49 32 50 43 169 108 95 66- - 17% 16% 13% 16% 11% 19% 15% 10% 8% 8% 13% 18% 16% 13% 12%

E G JK JK L Lm qGo to a sporting event

- - 278 257 259 148 111 106 75 56 22 51 28 170 85 103 71- - 14% 13% 13% 16% 11% 18% 15% 12% 5% 8% 8% 18% 12% 14% 13%

G JK K K LMGo to a gym class

- - 302 248 250 166 84 102 73 50 25 67 28 153 76 97 77- - 15% 12% 13% 17% 8% 17% 15% 10% 6% 11% 8% 16% 11% 13% 14%

de G JK jK k LMTake public transportation(e.g., subway, busses,trains)

- - 300 243 235 131 104 82 80 39 34 52 38 142 93 86 56- - 15% 12% 12% 14% 10% 14% 16% 8% 8% 8% 11% 15% 14% 11% 10%

DE G JK JK LVisit a casino

- - 209 188 221 132 89 98 60 43 20 51 36 124 76 83 63- - 10% 9% 11% 14% 9% 17% 12% 9% 5% 8% 11% 13% 11% 11% 11%

G iJK K k LGo to the office

- - 151 144 121 92 29 55 40 11 15 25 13 82 48 38 35- - 7% 7% 6% 10% 3% 9% 8% 2% 4% 4% 4% 9% 7% 5% 6%

G JK JK LMTake a cruise










- - 386 390 375 194 181 115 92 100 69 95 54 219 109 167 100- - 19% 19% 19% 20% 17% 19% 18% 21% 17% 15% 16% 23% 16% 22% 18%

LM OStay in a hotel

- - 351 345 326 157 169 94 88 89 55 81 48 188 98 141 88- - 17% 17% 16% 16% 16% 16% 17% 18% 13% 13% 14% 20% 14% 19% 16%

Lm oHost/attend a large socialgathering

- - 280 321 311 131 179 83 74 78 75 97 48 153 110 118 83- - 14% 16% 16% 14% 17% 14% 15% 16% 18% 16% 15% 16% 16% 16% 15%

fGo out to dinner

- - 319 343 310 146 164 101 76 65 68 80 50 163 88 137 85- - 16% 17% 16% 15% 16% 17% 15% 13% 16% 13% 15% 17% 13% 18% 15%

l OGo to the movies

- - 302 307 289 147 141 89 74 62 63 84 38 156 108 104 76- - 15% 15% 14% 15% 14% 15% 15% 13% 15% 14% 11% 16% 16% 14% 14%

mGreet people with ahandshake

- - 359 316 285 154 131 89 75 78 44 68 38 170 76 130 79- - 18% 16% 14% 16% 13% 15% 15% 16% 11% 11% 11% 18% 11% 17% 14%

E g k LM OFly on a plane

- - 286 321 282 154 128 99 69 68 47 79 40 156 99 120 63- - 14% 16% 14% 16% 12% 17% 14% 14% 11% 13% 12% 16% 14% 16% 11%

G k qGo to a sporting event

- - 255 256 217 122 94 84 63 45 25 71 27 112 72 94 51- - 13% 13% 11% 13% 9% 14% 12% 9% 6% 12% 8% 12% 11% 12% 9%

G jK KVisit a casino

- - 219 213 181 89 92 82 41 38 19 38 23 119 59 74 47- - 11% 11% 9% 9% 9% 14% 8% 8% 5% 6% 7% 12% 9% 10% 8%

IJK k LMTake public transportation(e.g., subway, busses,trains)

- - 219 233 176 94 83 73 49 23 31 46 30 95 54 72 51- - 11% 12% 9% 10% 8% 12% 10% 5% 8% 7% 9% 10% 8% 10% 9%

e E Jk JGo to a gym class

- - 188 184 159 92 67 71 48 29 10 32 21 103 55 71 32- - 9% 9% 8% 10% 6% 12% 9% 6% 3% 5% 6% 11% 8% 9% 6%

G JK K K Lm qTake a cruise

- - 105 138 136 87 49 62 41 31 3 23 18 91 41 55 41- - 5% 7% 7% 9% 5% 10% 8% 6% 1% 4% 5% 10% 6% 7% 7%

c c G jK K K LmGo to the office










- - 185 221 211 91 119 64 53 44 50 57 29 107 72 76 62- - 9% 11% 11% 10% 11% 11% 10% 9% 12% 9% 9% 11% 11% 10% 11%

Stay in a hotel

- - 180 203 190 93 97 48 46 58 37 63 29 84 57 77 55- - 9% 10% 10% 10% 9% 8% 9% 12% 9% 10% 9% 9% 8% 10% 10%

hHost/attend a large socialgathering

- - 179 217 179 82 97 61 36 46 35 42 32 87 55 63 61- - 9% 11% 9% 9% 9% 10% 7% 10% 9% 7% 10% 9% 8% 8% 11%

Fly on a plane

- - 162 184 163 98 65 46 32 42 43 41 28 88 65 55 42- - 8% 9% 8% 10% 6% 8% 6% 9% 10% 7% 8% 9% 10% 7% 8%

G iGo to a sporting event

- - 170 170 160 75 86 46 43 32 39 54 22 77 62 57 42- - 8% 8% 8% 8% 8% 8% 9% 7% 10% 9% 7% 8% 9% 8% 7%

Go to the movies

- - 166 151 150 70 80 49 34 36 32 35 18 88 42 58 50- - 8% 7% 8% 7% 8% 8% 7% 7% 8% 6% 5% 9% 6% 8% 9%

LmVisit a casino

- - 162 171 142 63 79 38 30 42 32 44 27 60 44 50 48- - 8% 8% 7% 7% 8% 6% 6% 9% 8% 7% 8% 6% 6% 7% 9%

Greet people with ahandshake

- - 153 144 139 79 60 51 30 33 24 31 14 86 47 49 43- - 8% 7% 7% 8% 6% 9% 6% 7% 6% 5% 4% 9% 7% 7% 8%

g LMTake a cruise

- - 125 126 120 47 73 45 31 24 20 45 19 47 31 50 39- - 6% 6% 6% 5% 7% 8% 6% 5% 5% 7% 6% 5% 4% 7% 7%

Go out to dinner

- - 101 141 107 51 56 36 28 27 16 33 16 54 26 47 34- - 5% 7% 5% 5% 5% 6% 5% 6% 4% 5% 5% 6% 4% 6% 6%

Ce oTake public transportation(e.g., subway, busses,trains)

- - 111 115 101 50 52 39 32 17 14 27 8 60 29 38 34- - 5% 6% 5% 5% 5% 7% 6% 4% 3% 4% 2% 6% 4% 5% 6%

jk MGo to a gym class

- - 48 81 63 31 32 25 24 8 6 27 5 27 19 20 24- - 2% 4% 3% 3% 3% 4% 5% 2% 1% 4% 2% 3% 3% 3% 4%

C Jk JK MGo to the office




of the following?Summary Of A Year Or Longer






- - 436 418 411 184 228 129 106 104 72 107 72 215 134 160 118- - 22% 21% 21% 19% 22% 22% 21% 21% 18% 17% 22% 23% 20% 21% 21%

LTake a cruise

- - 319 359 384 149 235 120 80 93 90 128 66 168 113 155 116- - 16% 18% 19% 16% 23% 20% 16% 19% 22% 21% 20% 18% 17% 21% 21%

C F iFly on a plane

- - 297 318 317 110 206 97 71 79 71 109 57 132 101 126 90- - 15% 16% 16% 12% 20% 16% 14% 16% 17% 18% 17% 14% 15% 17% 16%

F nStay in a hotel

- - 213 239 286 111 176 68 72 78 68 93 35 147 87 131 69- - 11% 12% 14% 12% 17% 12% 14% 16% 16% 15% 11% 15% 13% 17% 12%

Cd F h h m m OQGreet people with ahandshake

- - 252 281 278 119 159 80 65 73 60 90 47 125 90 108 80- - 12% 14% 14% 12% 15% 13% 13% 15% 14% 15% 14% 13% 13% 14% 14%

Visit a casino

- - 234 254 269 95 174 76 78 52 63 91 30 137 67 110 92- - 12% 13% 14% 10% 17% 13% 15% 11% 15% 15% 9% 14% 10% 15% 16%

F j j M M O OGo to a sporting event

- - 213 216 221 93 128 61 51 69 40 85 42 87 64 89 68- - 11% 11% 11% 10% 12% 10% 10% 14% 10% 14% 13% 9% 9% 12% 12%

i NGo to the movies

- - 206 240 221 83 137 53 58 47 63 71 41 99 69 89 62- - 10% 12% 11% 9% 13% 9% 11% 10% 15% 12% 12% 10% 10% 12% 11%

F HJHost/attend a large socialgathering

- - 189 189 184 79 106 64 41 47 33 61 27 86 64 62 59- - 9% 9% 9% 8% 10% 11% 8% 10% 8% 10% 8% 9% 9% 8% 10%

Take public transportation(e.g., subway, busses,trains)

- - 129 121 151 69 82 31 40 47 33 55 21 71 47 68 36- - 6% 6% 8% 7% 8% 5% 8% 10% 8% 9% 6% 7% 7% 9% 6%

HGo out to dinner

- - 125 163 115 38 77 40 32 30 13 53 15 45 41 45 29- - 6% 8% 6% 4% 7% 7% 6% 6% 3% 9% 5% 5% 6% 6% 5%

cE F K k k MNGo to a gym class

- - 78 54 55 27 28 29 17 5 4 22 7 23 18 23 14- - 4% 3% 3% 3% 3% 5% 3% 1% 1% 4% 2% 2% 3% 3% 2%

d JK jkGo to the office




of the following?Summary Of Never Again






- - 259 253 291 123 168 61 73 67 90 85 61 129 96 108 87- - 13% 13% 15% 13% 16% 10% 15% 14% 22% 14% 18% 14% 14% 14% 15%

h HIJ nTake a cruise

- - 195 239 245 80 165 54 41 60 89 89 56 92 87 94 64- - 10% 12% 12% 8% 16% 9% 8% 12% 22% 14% 17% 10% 13% 13% 11%

c C F i HIJ N NGreet people with ahandshake

- - 121 112 124 48 77 35 35 32 21 47 27 45 44 45 35- - 6% 6% 6% 5% 7% 6% 7% 7% 5% 8% 8% 5% 6% 6% 6%

f n nTake public transportation(e.g., subway, busses,trains)

- - 101 78 110 40 70 27 31 22 30 51 26 31 41 29 39- - 5% 4% 6% 4% 7% 5% 6% 5% 7% 8% 8% 3% 6% 4% 7%

d F N N pFly on a plane

- - 94 82 109 42 67 24 31 21 32 52 25 29 35 41 34- - 5% 4% 5% 4% 6% 4% 6% 4% 8% 8% 8% 3% 5% 5% 6%

d hj N NGo to a gym class

- - 125 102 103 56 47 31 30 20 21 34 15 50 38 33 32- - 6% 5% 5% 6% 4% 5% 6% 4% 5% 6% 4% 5% 6% 4% 6%

Visit a casino

- - 91 76 92 39 53 30 25 16 21 32 21 37 24 25 42- - 5% 4% 5% 4% 5% 5% 5% 3% 5% 5% 6% 4% 4% 3% 8%

OPGo to a sporting event

- - 75 55 76 31 45 12 31 12 22 28 15 32 24 27 25- - 4% 3% 4% 3% 4% 2% 6% 2% 5% 5% 5% 3% 3% 4% 4%

HJ HjGo to the movies

- - 73 76 73 37 36 18 23 12 20 33 6 32 23 29 21- - 4% 4% 4% 4% 3% 3% 4% 2% 5% 5% 2% 3% 3% 4% 4%

MHost/attend a large socialgathering

- - 57 59 64 27 37 18 24 10 12 29 12 22 20 24 21- - 3% 3% 3% 3% 4% 3% 5% 2% 3% 5% 4% 2% 3% 3% 4%

j NStay in a hotel

- - 44 38 40 25 15 9 16 5 10 19 5 17 17 11 11- - 2% 2% 2% 3% 1% 1% 3% 1% 2% 3% 1% 2% 3% 2% 2%

jGo to the office

- - 43 21 30 20 10 8 15 4 3 13 3 15 16 7 7- - 2% 1% 2% 2% 1% 1% 3% 1% 1% 2% 1% 2% 2% 1% 1%

D jkGo out to dinner




of the following?Summary Of Not Applicable






- - 704 686 803 330 473 137 155 248 264 301 153 297 289 290 224- - 35% 34% 40% 35% 45% 23% 31% 51% 64% 49% 46% 31% 42% 39% 40%

CD F H HI HIJ N NGo to a gym class

- - 661 689 803 312 491 126 177 229 270 274 151 319 306 274 223- - 33% 34% 40% 33% 47% 21% 35% 47% 66% 45% 45% 33% 45% 37% 40%

CD F H HI HIJ N N PTake public transportation(e.g., subway, busses,trains)

- - 613 690 766 298 468 181 150 226 209 274 140 307 252 291 223- - 30% 34% 38% 31% 45% 31% 30% 47% 51% 45% 42% 32% 37% 39% 40%

C CD F HI HI N NVisit a casino

- - 708 674 746 276 470 115 109 214 309 317 148 237 257 275 215- - 35% 33% 37% 29% 45% 19% 22% 44% 75% 52% 45% 25% 38% 37% 38%

D F HI HIJ mN NGo to the office

- - 641 713 717 278 439 171 137 218 191 301 127 245 239 275 203- - 32% 35% 36% 29% 42% 29% 27% 45% 46% 49% 38% 26% 35% 37% 36%

c C F HI HI MN NTake a cruise

- - 504 526 607 204 403 118 107 198 183 256 128 172 204 227 176- - 25% 26% 30% 21% 39% 20% 21% 41% 44% 42% 38% 18% 30% 30% 31%

CD F HI HI N NGo to a sporting event

- - 424 458 461 190 271 88 86 148 140 231 84 115 173 161 127- - 21% 23% 23% 20% 26% 15% 17% 31% 34% 37% 25% 12% 25% 21% 23%

F HI HI MN NFly on a plane

- - 326 366 381 156 226 45 57 127 153 165 65 121 156 120 106- - 16% 18% 19% 16% 22% 8% 11% 26% 37% 27% 20% 13% 23% 16% 19%

C F HI HIJ MN N PGo to the movies

- - 292 291 349 151 198 64 57 108 121 190 58 77 108 124 117- - 14% 14% 18% 16% 19% 11% 11% 22% 29% 31% 17% 8% 16% 17% 21%

CD HI HIj MN N oStay in a hotel

- - 294 327 346 147 199 57 63 98 127 172 64 90 121 119 106- - 15% 16% 17% 15% 19% 10% 12% 20% 31% 28% 19% 9% 18% 16% 19%

c f HI HIJ MN NHost/attend a large socialgathering

- - 135 147 173 53 120 58 37 43 36 88 27 45 49 63 61- - 7% 7% 9% 6% 12% 10% 7% 9% 9% 14% 8% 5% 7% 8% 11%

c F MN N oGreet people with ahandshake

- - 110 106 111 47 64 28 22 25 35 65 11 23 30 48 33- - 5% 5% 6% 5% 6% 5% 4% 5% 8% 11% 3% 2% 4% 6% 6%

hI MNGo out to dinner



6 Apr 2020Table 185Q33B_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 67 34 32 46 18 5 18 16 66 48 29 25- - 6% 5% 5% 7% 3% 5% 9% 4% 1% 3% 5% 7% 7% 4% 4%

G K hJK k L PImmediately

- - 188 196 187 113 73 77 56 29 25 33 32 116 56 86 44- - 9% 10% 9% 12% 7% 13% 11% 6% 6% 5% 10% 12% 8% 11% 8%

G JK JK L L q1-30 days

- - 327 292 286 157 129 96 96 50 44 44 38 200 120 96 69- - 16% 14% 14% 16% 12% 16% 19% 10% 11% 7% 11% 21% 18% 13% 12%

G JK JK L LM PQ2-3 months

- - 359 316 285 154 131 89 75 78 44 68 38 170 76 130 79- - 18% 16% 14% 16% 13% 15% 15% 16% 11% 11% 11% 18% 11% 17% 14%

E g k LM O4-6 months

- - 179 217 179 82 97 61 36 46 35 42 32 87 55 63 61- - 9% 11% 9% 9% 9% 10% 7% 10% 9% 7% 10% 9% 8% 8% 11%

7-11 months

- - 319 359 384 149 235 120 80 93 90 128 66 168 113 155 116- - 16% 18% 19% 16% 23% 20% 16% 19% 22% 21% 20% 18% 17% 21% 21%

C F iA year or longer

- - 101 78 110 40 70 27 31 22 30 51 26 31 41 29 39- - 5% 4% 6% 4% 7% 5% 6% 5% 7% 8% 8% 3% 6% 4% 7%

d F N N pNever again

- - 424 458 461 190 271 88 86 148 140 231 84 115 173 161 127- - 21% 23% 23% 20% 26% 15% 17% 31% 34% 37% 25% 12% 25% 21% 23%

F HI HI MN NNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?Go to a gym class






- - 157 164 176 110 67 60 65 43 8 28 25 118 68 55 53- - 8% 8% 9% 12% 6% 10% 13% 9% 2% 5% 8% 12% 10% 7% 9%

G K K K l LmImmediately

- - 336 316 253 141 112 112 67 46 28 59 48 140 82 106 65- - 17% 16% 13% 15% 11% 19% 13% 9% 7% 10% 15% 15% 12% 14% 12%

E E G IJK K L L1-30 days

- - 278 257 259 148 111 106 75 56 22 51 28 170 85 103 71- - 14% 13% 13% 16% 11% 18% 15% 12% 5% 8% 8% 18% 12% 14% 13%

G JK K K LM2-3 months

- - 219 233 176 94 83 73 49 23 31 46 30 95 54 72 51- - 11% 12% 9% 10% 8% 12% 10% 5% 8% 7% 9% 10% 8% 10% 9%

e E Jk J4-6 months

- - 111 115 101 50 52 39 32 17 14 27 8 60 29 38 34- - 5% 6% 5% 5% 5% 7% 6% 4% 3% 4% 2% 6% 4% 5% 6%

jk M7-11 months

- - 125 163 115 38 77 40 32 30 13 53 15 45 41 45 29- - 6% 8% 6% 4% 7% 7% 6% 6% 3% 9% 5% 5% 6% 6% 5%

cE F K k k MNA year or longer

- - 94 82 109 42 67 24 31 21 32 52 25 29 35 41 34- - 5% 4% 5% 4% 6% 4% 6% 4% 8% 8% 8% 3% 5% 5% 6%

d hj N NNever again

- - 704 686 803 330 473 137 155 248 264 301 153 297 289 290 224- - 35% 34% 40% 35% 45% 23% 31% 51% 64% 49% 46% 31% 42% 39% 40%

CD F H HI HIJ N NNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 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 48 22 19 35 11 6 15 11 44 32 19 20- - 5% 3% 4% 5% 2% 3% 7% 2% 1% 2% 3% 5% 5% 3% 4%

d G HJK l pImmediately

- - 103 94 85 57 28 34 36 10 4 19 15 49 32 30 22- - 5% 5% 4% 6% 3% 6% 7% 2% 1% 3% 4% 5% 5% 4% 4%

G JK JK1-30 days

- - 151 144 121 92 29 55 40 11 15 25 13 82 48 38 35- - 7% 7% 6% 10% 3% 9% 8% 2% 4% 4% 4% 9% 7% 5% 6%

G JK JK LM2-3 months

- - 188 184 159 92 67 71 48 29 10 32 21 103 55 71 32- - 9% 9% 8% 10% 6% 12% 9% 6% 3% 5% 6% 11% 8% 9% 6%

G JK K K Lm q4-6 months

- - 153 144 139 79 60 51 30 33 24 31 14 86 47 49 43- - 8% 7% 7% 8% 6% 9% 6% 7% 6% 5% 4% 9% 7% 7% 8%

g LM7-11 months

- - 436 418 411 184 228 129 106 104 72 107 72 215 134 160 118- - 22% 21% 21% 19% 22% 22% 21% 21% 18% 17% 22% 23% 20% 21% 21%

LA year or longer

- - 259 253 291 123 168 61 73 67 90 85 61 129 96 108 87- - 13% 13% 15% 13% 16% 10% 15% 14% 22% 14% 18% 14% 14% 14% 15%

h HIJ nNever again

- - 641 713 717 278 439 171 137 218 191 301 127 245 239 275 203- - 32% 35% 36% 29% 42% 29% 27% 45% 46% 49% 38% 26% 35% 37% 36%

c C F HI HI MN NNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?Go out to dinner






- - 300 265 238 130 108 82 74 59 23 59 37 138 106 74 58- - 15% 13% 12% 14% 10% 14% 15% 12% 6% 10% 11% 14% 16% 10% 10%

E g K K K L PQImmediately

- - 571 557 569 294 275 179 140 132 118 150 109 277 191 225 152- - 28% 28% 29% 31% 26% 30% 28% 27% 29% 24% 33% 29% 28% 30% 27%

g L l1-30 days

- - 466 500 464 214 249 134 110 114 105 132 85 230 153 159 152- - 23% 25% 23% 23% 24% 23% 22% 24% 26% 21% 26% 24% 22% 21% 27%

p2-3 months

- - 280 321 311 131 179 83 74 78 75 97 48 153 110 118 83- - 14% 16% 16% 14% 17% 14% 15% 16% 18% 16% 15% 16% 16% 16% 15%

f4-6 months

- - 125 126 120 47 73 45 31 24 20 45 19 47 31 50 39- - 6% 6% 6% 5% 7% 8% 6% 5% 5% 7% 6% 5% 4% 7% 7%

7-11 months

- - 129 121 151 69 82 31 40 47 33 55 21 71 47 68 36- - 6% 6% 8% 7% 8% 5% 8% 10% 8% 9% 6% 7% 7% 9% 6%

HA year or longer

- - 43 21 30 20 10 8 15 4 3 13 3 15 16 7 7- - 2% 1% 2% 2% 1% 1% 3% 1% 1% 2% 1% 2% 2% 1% 1%

D jkNever again

- - 110 106 111 47 64 28 22 25 35 65 11 23 30 48 33- - 5% 5% 6% 5% 6% 5% 4% 5% 8% 11% 3% 2% 4% 6% 6%

hI MNNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 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 70 23 24 40 19 10 21 20 49 40 27 26- - 6% 5% 5% 7% 2% 4% 8% 4% 2% 3% 6% 5% 6% 4% 5%

e G HJK lImmediately

- - 185 190 152 86 67 60 44 26 22 37 28 80 56 53 44- - 9% 9% 8% 9% 6% 10% 9% 5% 5% 6% 9% 8% 8% 7% 8%

g JK1-30 days

- - 300 243 235 131 104 82 80 39 34 52 38 142 93 86 56- - 15% 12% 12% 14% 10% 14% 16% 8% 8% 8% 11% 15% 14% 11% 10%

DE G JK JK L2-3 months

- - 255 256 217 122 94 84 63 45 25 71 27 112 72 94 51- - 13% 13% 11% 13% 9% 14% 12% 9% 6% 12% 8% 12% 11% 12% 9%

G jK K4-6 months

- - 166 151 150 70 80 49 34 36 32 35 18 88 42 58 50- - 8% 7% 8% 7% 8% 8% 7% 7% 8% 6% 5% 9% 6% 8% 9%

Lm7-11 months

- - 252 281 278 119 159 80 65 73 60 90 47 125 90 108 80- - 12% 14% 14% 12% 15% 13% 13% 15% 14% 15% 14% 13% 13% 14% 14%

A year or longer

- - 125 102 103 56 47 31 30 20 21 34 15 50 38 33 32- - 6% 5% 5% 6% 4% 5% 6% 4% 5% 6% 4% 5% 6% 4% 6%

Never again

- - 613 690 766 298 468 181 150 226 209 274 140 307 252 291 223- - 30% 34% 38% 31% 45% 31% 30% 47% 51% 45% 42% 32% 37% 39% 40%

C CD F HI HI N NNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 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 63 46 30 45 21 13 18 19 69 52 28 29- - 8% 7% 5% 7% 4% 5% 9% 4% 3% 3% 6% 7% 8% 4% 5%

E g HJK l L PImmediately

- - 256 224 203 120 83 86 57 40 20 44 48 109 72 72 59- - 13% 11% 10% 13% 8% 15% 11% 8% 5% 7% 14% 11% 10% 10% 11%

e G JK K L L1-30 days

- - 398 376 365 195 170 117 107 83 57 74 55 219 149 132 84- - 20% 19% 18% 20% 16% 20% 21% 17% 14% 12% 17% 23% 22% 18% 15%

g k K l LM Q2-3 months

- - 386 390 375 194 181 115 92 100 69 95 54 219 109 167 100- - 19% 19% 19% 20% 17% 19% 18% 21% 17% 15% 16% 23% 16% 22% 18%

LM O4-6 months

- - 185 221 211 91 119 64 53 44 50 57 29 107 72 76 62- - 9% 11% 11% 10% 11% 11% 10% 9% 12% 9% 9% 11% 11% 10% 11%

7-11 months

- - 297 318 317 110 206 97 71 79 71 109 57 132 101 126 90- - 15% 16% 16% 12% 20% 16% 14% 16% 17% 18% 17% 14% 15% 17% 16%

F nA year or longer

- - 57 59 64 27 37 18 24 10 12 29 12 22 20 24 21- - 3% 3% 3% 3% 4% 3% 5% 2% 3% 5% 4% 2% 3% 3% 4%

j NNever again

- - 292 291 349 151 198 64 57 108 121 190 58 77 108 124 117- - 14% 14% 18% 16% 19% 11% 11% 22% 29% 31% 17% 8% 16% 17% 21%

CD HI HIj MN N oNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?Go to the office






- - 438 432 368 206 162 107 133 101 28 70 61 223 137 147 83- - 22% 21% 18% 22% 16% 18% 26% 21% 7% 11% 18% 23% 20% 20% 15%

E e G K HK K L L q qImmediately

- - 393 411 363 168 194 147 106 78 33 86 52 211 117 136 110- - 19% 20% 18% 18% 19% 25% 21% 16% 8% 14% 16% 22% 17% 18% 20%

JK K K LM1-30 days

- - 209 188 221 132 89 98 60 43 20 51 36 124 76 83 63- - 10% 9% 11% 14% 9% 17% 12% 9% 5% 8% 11% 13% 11% 11% 11%

G iJK K k L2-3 months

- - 105 138 136 87 49 62 41 31 3 23 18 91 41 55 41- - 5% 7% 7% 9% 5% 10% 8% 6% 1% 4% 5% 10% 6% 7% 7%

c c G jK K K Lm4-6 months

- - 48 81 63 31 32 25 24 8 6 27 5 27 19 20 24- - 2% 4% 3% 3% 3% 4% 5% 2% 1% 4% 2% 3% 3% 3% 4%

C Jk JK M7-11 months

- - 78 54 55 27 28 29 17 5 4 22 7 23 18 23 14- - 4% 3% 3% 3% 3% 5% 3% 1% 1% 4% 2% 2% 3% 3% 2%

d JK jkA year or longer

- - 44 38 40 25 15 9 16 5 10 19 5 17 17 11 11- - 2% 2% 2% 3% 1% 1% 3% 1% 2% 3% 1% 2% 3% 2% 2%

jNever again

- - 708 674 746 276 470 115 109 214 309 317 148 237 257 275 215- - 35% 33% 37% 29% 45% 19% 22% 44% 75% 52% 45% 25% 38% 37% 38%

D F HI HIJ mN NNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 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 83 34 45 38 28 6 24 19 73 51 42 24- - 7% 6% 6% 9% 3% 8% 8% 6% 1% 4% 6% 8% 7% 6% 4%

G K K K L qImmediately

- - 248 221 195 127 68 67 78 32 17 41 24 121 64 75 55- - 12% 11% 10% 13% 7% 11% 15% 7% 4% 7% 7% 13% 9% 10% 10%

E G JK JK LM1-30 days

- - 353 318 269 153 116 109 78 49 32 50 43 169 108 95 66- - 17% 16% 13% 16% 11% 19% 15% 10% 8% 8% 13% 18% 16% 13% 12%

E G JK JK L Lm q2-3 months

- - 286 321 282 154 128 99 69 68 47 79 40 156 99 120 63- - 14% 16% 14% 16% 12% 17% 14% 14% 11% 13% 12% 16% 14% 16% 11%

G k q4-6 months

- - 162 184 163 98 65 46 32 42 43 41 28 88 65 55 42- - 8% 9% 8% 10% 6% 8% 6% 9% 10% 7% 8% 9% 10% 7% 8%

G i7-11 months

- - 234 254 269 95 174 76 78 52 63 91 30 137 67 110 92- - 12% 13% 14% 10% 17% 13% 15% 11% 15% 15% 9% 14% 10% 15% 16%

F j j M M O OA year or longer

- - 91 76 92 39 53 30 25 16 21 32 21 37 24 25 42- - 5% 4% 5% 4% 5% 5% 5% 3% 5% 5% 6% 4% 4% 3% 8%

OPNever again

- - 504 526 607 204 403 118 107 198 183 256 128 172 204 227 176- - 25% 26% 30% 21% 39% 20% 21% 41% 44% 42% 38% 18% 30% 30% 31%

CD F HI HI N NNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 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 70 49 51 40 23 5 31 23 63 50 37 32- - 7% 6% 6% 7% 5% 9% 8% 5% 1% 5% 7% 7% 7% 5% 6%

G JK K KImmediately

- - 336 297 298 156 142 119 83 61 35 65 54 168 110 103 85- - 17% 15% 15% 16% 14% 20% 16% 13% 9% 11% 16% 18% 16% 14% 15%

JK K L L1-30 days

- - 437 410 420 209 212 151 105 97 68 100 67 228 155 154 111- - 22% 20% 21% 22% 20% 26% 21% 20% 16% 16% 20% 24% 23% 21% 20%

jK L2-3 months

- - 351 345 326 157 169 94 88 89 55 81 48 188 98 141 88- - 17% 17% 16% 16% 16% 16% 17% 18% 13% 13% 14% 20% 14% 19% 16%

Lm o4-6 months

- - 180 203 190 93 97 48 46 58 37 63 29 84 57 77 55- - 9% 10% 10% 10% 9% 8% 9% 12% 9% 10% 9% 9% 8% 10% 10%

h7-11 months

- - 206 240 221 83 137 53 58 47 63 71 41 99 69 89 62- - 10% 12% 11% 9% 13% 9% 11% 10% 15% 12% 12% 10% 10% 12% 11%

F HJA year or longer

- - 73 76 73 37 36 18 23 12 20 33 6 32 23 29 21- - 4% 4% 4% 4% 3% 3% 4% 2% 5% 5% 2% 3% 3% 4% 4%

MNever again

- - 294 327 346 147 199 57 63 98 127 172 64 90 121 119 106- - 15% 16% 17% 15% 19% 10% 12% 20% 31% 28% 19% 9% 18% 16% 19%

c f HI HIJ MN NNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 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 84 35 40 45 21 13 30 28 59 41 46 31- - 9% 7% 6% 9% 3% 7% 9% 4% 3% 5% 8% 6% 6% 6% 6%

dE G K JK lImmediately

- - 253 285 224 124 100 105 65 39 15 66 34 118 65 104 54- - 13% 14% 11% 13% 10% 18% 13% 8% 4% 11% 10% 12% 10% 14% 10%

E g iJK jK K Oq1-30 days

- - 302 248 250 166 84 102 73 50 25 67 28 153 76 97 77- - 15% 12% 13% 17% 8% 17% 15% 10% 6% 11% 8% 16% 11% 13% 14%

de G JK jK k LM2-3 months

- - 219 213 181 89 92 82 41 38 19 38 23 119 59 74 47- - 11% 11% 9% 9% 9% 14% 8% 8% 5% 6% 7% 12% 9% 10% 8%

IJK k LM4-6 months

- - 101 141 107 51 56 36 28 27 16 33 16 54 26 47 34- - 5% 7% 5% 5% 5% 6% 5% 6% 4% 5% 5% 6% 4% 6% 6%

Ce o7-11 months

- - 189 189 184 79 106 64 41 47 33 61 27 86 64 62 59- - 9% 9% 9% 8% 10% 11% 8% 10% 8% 10% 8% 9% 9% 8% 10%

A year or longer

- - 121 112 124 48 77 35 35 32 21 47 27 45 44 45 35- - 6% 6% 6% 5% 7% 6% 7% 7% 5% 8% 8% 5% 6% 6% 6%

f n nNever again

- - 661 689 803 312 491 126 177 229 270 274 151 319 306 274 223- - 33% 34% 40% 33% 47% 21% 35% 47% 66% 45% 45% 33% 45% 37% 40%

CD F H HI HIJ N N PNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?Greet people with a handshake






- - 200 190 176 117 60 62 57 34 23 45 31 90 70 52 55- - 10% 9% 9% 12% 6% 11% 11% 7% 6% 7% 9% 9% 10% 7% 10%

G K jK pImmediately

- - 393 322 305 177 128 110 88 65 42 77 55 162 103 115 86- - 19% 16% 15% 19% 12% 19% 17% 13% 10% 13% 17% 17% 15% 15% 15%

DE G jK K l1-30 days

- - 424 401 377 204 173 111 106 100 60 96 63 201 135 141 101- - 21% 20% 19% 21% 17% 19% 21% 21% 14% 16% 19% 21% 20% 19% 18%

G K k L2-3 months

- - 302 307 289 147 141 89 74 62 63 84 38 156 108 104 76- - 15% 15% 14% 15% 14% 15% 15% 13% 15% 14% 11% 16% 16% 14% 14%

m4-6 months

- - 162 171 142 63 79 38 30 42 32 44 27 60 44 50 48- - 8% 8% 7% 7% 8% 6% 6% 9% 8% 7% 8% 6% 6% 7% 9%

7-11 months

- - 213 239 286 111 176 68 72 78 68 93 35 147 87 131 69- - 11% 12% 14% 12% 17% 12% 14% 16% 16% 15% 11% 15% 13% 17% 12%

Cd F h h m m OQA year or longer

- - 195 239 245 80 165 54 41 60 89 89 56 92 87 94 64- - 10% 12% 12% 8% 16% 9% 8% 12% 22% 14% 17% 10% 13% 13% 11%

c C F i HIJ N NNever again

- - 135 147 173 53 120 58 37 43 36 88 27 45 49 63 61- - 7% 7% 9% 6% 12% 10% 7% 9% 9% 14% 8% 5% 7% 8% 11%

c F MN N oNot applicable

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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)

1489 1156 1250 1885 1192 1616 1217 1334 1606 1626 1172 1828Unweighted Base1532 1190 1276 1882 1227 1644 1247 1386 1612 1647 1190 1820Weighted Base

101 176 71 238 93 109 368 117 123 119 119 1767% 15% 6% 13% 8% 7% 30% 8% 8% 7% 10% 10%

ACdEFHIJKL ACEFHIJKL C ABCDEFHIJKL aCf C c ACEFIJ ACEFIJImmediately

187 253 85 569 152 203 363 195 322 298 224 30512% 21% 7% 30% 12% 12% 29% 14% 20% 18% 19% 17%C ACEFHjL ABCEFHIJKL C C ABCEFHIJKL C ACEFHL ACEFH ACEFH ACEFh

1-30 days

286 259 121 464 235 365 221 269 400 420 250 37719% 22% 9% 25% 19% 22% 18% 19% 25% 26% 21% 21%C aCG ACEGHKL C ACeGh C C ACEGHKL ABCEFGHKL Cg Cg

2-3 months

285 176 159 311 217 375 136 282 310 326 181 28919% 15% 12% 17% 18% 23% 11% 20% 19% 20% 15% 16%

BCGKl G CG CG ABCDEGIjKL BCDGKL BCdGKL BCDGKL G CG4-6 months

179 101 139 120 150 211 63 163 160 190 107 14212% 9% 11% 6% 12% 13% 5% 12% 10% 12% 9% 8%

BDGKL dG bDGL BDGKL BDGIKL BDGKL DGL BDGkL DG G7-11 months

384 115 411 151 278 317 55 269 221 221 184 28625% 10% 32% 8% 23% 19% 4% 19% 14% 13% 15% 16%

BDFGHIJKL G ABDEFGHIJKL G BDFGhIJKL BDGIJKL BDGIJKL BDG BDG BDG BDGiJA year or longer

110 109 291 30 103 64 40 92 76 73 124 2457% 9% 23% 2% 8% 4% 3% 7% 5% 4% 10% 13%

DFGIJ aDFGHIJ ABDEFGHIJKL DFGIJ D D DFGIJ Dg D ADFGHIJ ABDEFGHIJKNever again

1532 1190 1276 1882 1227 1644 1247 1386 1612 1647 1190 1820100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma

__________________________________________________________Proportions/Means: All Columns Tested (5%, 10% risk level)Overlap formulae used.



of the following?Summary Of Immediately

Base: Applicable Response





- - 438 432 368 206 162 107 133 101 28 70 61 223 137 147 83- - 33% 32% 30% 30% 28% 22% 33% 37% 27% 24% 33% 31% 32% 31% 24%

H H L L q qGo to the office

- - 157 164 176 110 67 60 65 43 8 28 25 118 68 55 53- - 12% 12% 15% 18% 12% 13% 18% 18% 5% 9% 14% 18% 17% 12% 16%

c G K K K L pGo to a gym class

- - 300 265 238 130 108 82 74 59 23 59 37 138 106 74 58- - 16% 14% 13% 14% 11% 15% 15% 13% 6% 11% 12% 15% 16% 11% 11%

E g K K K l PQGo out to dinner

- - 177 140 119 84 35 40 45 21 13 30 28 59 41 46 31- - 13% 11% 10% 13% 6% 9% 14% 8% 9% 9% 15% 9% 11% 10% 9%

e G h lnTake public transportation(e.g., subway, busses,trains)

- - 200 190 176 117 60 62 57 34 23 45 31 90 70 52 55- - 11% 10% 10% 13% 6% 12% 12% 8% 6% 9% 10% 10% 11% 8% 11%

G K jK pGreet people with ahandshake

- - 145 118 117 83 34 45 38 28 6 24 19 73 51 42 24- - 10% 8% 8% 11% 5% 9% 10% 10% 2% 7% 9% 9% 11% 8% 6%

G K K K qGo to a sporting event

- - 149 115 123 80 43 41 47 27 7 27 20 71 37 49 36- - 9% 7% 8% 10% 5% 8% 11% 8% 3% 6% 8% 9% 7% 8% 8%

G K K KGo to the movies

- - 127 102 93 70 23 24 40 19 10 21 20 49 40 27 26- - 9% 8% 8% 11% 4% 6% 11% 7% 5% 6% 11% 8% 9% 6% 8%

G HkVisit a casino

- - 146 119 119 70 49 51 40 23 5 31 23 63 50 37 32- - 8% 7% 7% 9% 6% 10% 9% 6% 2% 7% 9% 7% 9% 6% 7%

g K K KHost/attend a large socialgathering

- - 152 138 109 63 46 30 45 21 13 18 19 69 52 28 29- - 9% 8% 7% 8% 5% 6% 10% 6% 4% 4% 7% 8% 9% 5% 6%

e HjK L PStay in a hotel

- - 126 102 101 67 34 32 46 18 5 18 16 66 48 29 25- - 8% 7% 7% 9% 4% 6% 11% 5% 2% 5% 6% 8% 9% 5% 6%

G K hJK k PFly on a plane

- - 92 66 71 48 22 19 35 11 6 15 11 44 32 19 20- - 7% 5% 6% 7% 4% 5% 10% 4% 3% 5% 5% 6% 7% 4% 6%

G HJKTake a cruise




of the following?Summary Of 1-30 Days






- - 571 557 569 294 275 179 140 132 118 150 109 277 191 225 152- - 30% 29% 30% 32% 28% 32% 29% 29% 31% 27% 34% 30% 29% 32% 29%

lGo out to dinner

- - 393 411 363 168 194 147 106 78 33 86 52 211 117 136 110- - 30% 31% 29% 25% 34% 31% 27% 29% 32% 29% 28% 29% 27% 29% 32%

FGo to the office

- - 336 316 253 141 112 112 67 46 28 59 48 140 82 106 65- - 25% 24% 21% 23% 20% 25% 19% 19% 19% 19% 27% 21% 21% 23% 19%

E lGo to a gym class

- - 351 305 322 182 140 129 85 68 40 77 57 173 119 130 73- - 21% 18% 20% 23% 17% 24% 19% 19% 15% 17% 21% 21% 23% 21% 16%

G K QGo to the movies

- - 253 285 224 124 100 105 65 39 15 66 34 118 65 104 54- - 19% 21% 19% 19% 18% 23% 20% 15% 10% 19% 19% 19% 17% 22% 16%

jK kTake public transportation(e.g., subway, busses,trains)

- - 336 297 298 156 142 119 83 61 35 65 54 168 110 103 85- - 19% 18% 18% 19% 17% 22% 19% 16% 12% 15% 20% 19% 20% 16% 19%

jK k lHost/attend a large socialgathering

- - 393 322 305 177 128 110 88 65 42 77 55 162 103 115 86- - 21% 17% 17% 20% 14% 21% 19% 15% 11% 15% 18% 18% 16% 17% 17%

DE G jK KGreet people with ahandshake

- - 248 221 195 127 68 67 78 32 17 41 24 121 64 75 55- - 16% 15% 14% 17% 11% 14% 20% 11% 8% 11% 12% 15% 13% 14% 14%

G k hJKGo to a sporting event

- - 185 190 152 86 67 60 44 26 22 37 28 80 56 53 44- - 13% 14% 12% 13% 12% 15% 12% 10% 11% 11% 15% 12% 13% 12% 13%

Visit a casino

- - 256 224 203 120 83 86 57 40 20 44 48 109 72 72 59- - 15% 13% 12% 15% 10% 16% 13% 11% 7% 10% 18% 12% 12% 12% 13%

G jK k LnStay in a hotel

- - 188 196 187 113 73 77 56 29 25 33 32 116 56 86 44- - 12% 13% 12% 15% 10% 15% 13% 9% 9% 9% 13% 14% 11% 15% 10%

G Jk LFly on a plane

- - 103 94 85 57 28 34 36 10 4 19 15 49 32 30 22- - 7% 7% 7% 8% 5% 8% 10% 4% 2% 6% 7% 7% 7% 6% 6%

G jK JKTake a cruise










- - 437 410 420 209 212 151 105 97 68 100 67 228 155 154 111- - 25% 24% 26% 26% 25% 28% 24% 25% 24% 23% 25% 26% 28% 24% 24%

Host/attend a large socialgathering

- - 420 446 400 189 211 157 115 85 43 99 62 228 133 141 126- - 25% 27% 25% 24% 26% 29% 26% 24% 17% 22% 23% 27% 25% 22% 28%

K K k lGo to the movies

- - 466 500 464 214 249 134 110 114 105 132 85 230 153 159 152- - 24% 26% 25% 24% 26% 24% 23% 25% 28% 24% 27% 25% 23% 23% 29%

opGo out to dinner

- - 398 376 365 195 170 117 107 83 57 74 55 219 149 132 84- - 23% 22% 22% 24% 20% 22% 24% 22% 20% 17% 20% 25% 26% 21% 19%

L QStay in a hotel

- - 278 257 259 148 111 106 75 56 22 51 28 170 85 103 71- - 21% 19% 22% 24% 20% 23% 21% 24% 15% 16% 16% 26% 22% 22% 21%

LMGo to a gym class

- - 302 248 250 166 84 102 73 50 25 67 28 153 76 97 77- - 22% 19% 21% 26% 15% 22% 22% 19% 18% 19% 15% 24% 20% 20% 23%

d G MTake public transportation(e.g., subway, busses,trains)

- - 424 401 377 204 173 111 106 100 60 96 63 201 135 141 101- - 22% 21% 21% 23% 19% 21% 23% 23% 16% 18% 21% 22% 21% 21% 20%

K kGreet people with ahandshake

- - 353 318 269 153 116 109 78 49 32 50 43 169 108 95 66- - 23% 21% 19% 20% 18% 23% 20% 17% 14% 14% 21% 22% 23% 18% 17%

E K l LGo to a sporting event

- - 300 243 235 131 104 82 80 39 34 52 38 142 93 86 56- - 21% 18% 19% 20% 18% 20% 22% 15% 16% 15% 20% 22% 21% 19% 17%

j LVisit a casino

- - 327 292 286 157 129 96 96 50 44 44 38 200 120 96 69- - 20% 19% 19% 21% 17% 19% 23% 15% 16% 11% 15% 24% 24% 16% 16%

Jk LM PQFly on a plane

- - 209 188 221 132 89 98 60 43 20 51 36 124 76 83 63- - 16% 14% 18% 20% 16% 21% 15% 16% 19% 17% 20% 17% 18% 17% 18%

D iGo to the office

- - 151 144 121 92 29 55 40 11 15 25 13 82 48 38 35- - 11% 11% 9% 14% 5% 13% 11% 4% 7% 8% 6% 12% 11% 8% 10%

G Jk J mTake a cruise










- - 386 390 375 194 181 115 92 100 69 95 54 219 109 167 100- - 22% 23% 23% 24% 21% 22% 21% 27% 24% 22% 20% 25% 19% 27% 22%

OStay in a hotel

- - 286 321 282 154 128 99 69 68 47 79 40 156 99 120 63- - 19% 22% 20% 21% 20% 21% 17% 24% 20% 22% 20% 20% 21% 23% 16%

qGo to a sporting event

- - 351 345 326 157 169 94 88 89 55 81 48 188 98 141 88- - 20% 20% 20% 19% 20% 18% 20% 23% 19% 18% 18% 22% 17% 22% 19%

oHost/attend a large socialgathering

- - 319 343 310 146 164 101 76 65 68 80 50 163 88 137 85- - 19% 21% 19% 18% 20% 18% 17% 18% 26% 18% 19% 20% 17% 22% 19%

HIj oGo to the movies

- - 359 316 285 154 131 89 75 78 44 68 38 170 76 130 79- - 22% 20% 19% 20% 17% 18% 18% 23% 16% 18% 15% 20% 15% 22% 18%

E OFly on a plane

- - 255 256 217 122 94 84 63 45 25 71 27 112 72 94 51- - 18% 19% 18% 19% 16% 20% 18% 17% 12% 21% 14% 17% 17% 20% 15%

k mVisit a casino

- - 280 321 311 131 179 83 74 78 75 97 48 153 110 118 83- - 15% 17% 17% 14% 18% 15% 15% 17% 20% 18% 15% 16% 17% 17% 16%

f hGo out to dinner

- - 302 307 289 147 141 89 74 62 63 84 38 156 108 104 76- - 16% 16% 16% 16% 15% 17% 16% 14% 17% 16% 12% 17% 17% 15% 15%

mGreet people with ahandshake

- - 219 213 181 89 92 82 41 38 19 38 23 119 59 74 47- - 16% 16% 15% 14% 17% 18% 13% 15% 13% 11% 13% 19% 16% 16% 14%

LTake public transportation(e.g., subway, busses,trains)

- - 219 233 176 94 83 73 49 23 31 46 30 95 54 72 51- - 17% 18% 15% 15% 15% 16% 14% 10% 21% 15% 16% 14% 14% 16% 15%

j JGo to a gym class

- - 188 184 159 92 67 71 48 29 10 32 21 103 55 71 32- - 14% 14% 12% 14% 11% 17% 13% 11% 5% 10% 10% 15% 12% 15% 9%

K K k qTake a cruise

- - 105 138 136 87 49 62 41 31 3 23 18 91 41 55 41- - 8% 10% 11% 13% 9% 13% 10% 11% 3% 8% 10% 13% 10% 12% 12%

C g K k K lGo to the office










- - 185 221 211 91 119 64 53 44 50 57 29 107 72 76 62- - 11% 13% 13% 11% 14% 12% 12% 12% 17% 13% 11% 12% 13% 12% 14%

Stay in a hotel

- - 166 151 150 70 80 49 34 36 32 35 18 88 42 58 50- - 12% 11% 12% 11% 14% 12% 9% 14% 16% 10% 9% 14% 10% 13% 15%

iVisit a casino

- - 162 184 163 98 65 46 32 42 43 41 28 88 65 55 42- - 11% 12% 12% 13% 10% 10% 8% 15% 19% 11% 14% 11% 14% 11% 11%

I HIGo to a sporting event

- - 179 217 179 82 97 61 36 46 35 42 32 87 55 63 61- - 11% 14% 12% 11% 13% 12% 9% 14% 13% 11% 13% 10% 11% 11% 14%

c iFly on a plane

- - 180 203 190 93 97 48 46 58 37 63 29 84 57 77 55- - 10% 12% 12% 12% 11% 9% 11% 15% 13% 14% 11% 10% 10% 12% 12%

H NHost/attend a large socialgathering

- - 153 144 139 79 60 51 30 33 24 31 14 86 47 49 43- - 11% 11% 11% 12% 10% 12% 8% 13% 11% 10% 7% 12% 11% 10% 12%

mTake a cruise

- - 170 170 160 75 86 46 43 32 39 54 22 77 62 57 42- - 10% 10% 10% 9% 11% 8% 10% 9% 15% 12% 8% 9% 12% 9% 9%

HijGo to the movies

- - 101 141 107 51 56 36 28 27 16 33 16 54 26 47 34- - 7% 11% 9% 8% 10% 8% 8% 11% 11% 10% 9% 9% 7% 10% 10%

CTake public transportation(e.g., subway, busses,trains)

- - 111 115 101 50 52 39 32 17 14 27 8 60 29 38 34- - 8% 9% 9% 8% 9% 9% 9% 7% 9% 9% 5% 9% 7% 8% 10%

Go to a gym class

- - 162 171 142 63 79 38 30 42 32 44 27 60 44 50 48- - 9% 9% 8% 7% 9% 7% 6% 10% 8% 8% 9% 7% 7% 7% 10%

Greet people with ahandshake

- - 125 126 120 47 73 45 31 24 20 45 19 47 31 50 39- - 7% 7% 6% 5% 7% 8% 6% 5% 5% 8% 6% 5% 5% 7% 7%

NGo out to dinner

- - 48 81 63 31 32 25 24 8 6 27 5 27 19 20 24- - 4% 6% 5% 5% 6% 5% 6% 3% 6% 9% 3% 4% 5% 4% 7%

C MNGo to the office




of the following?Summary Of A Year Or Longer






- - 436 418 411 184 228 129 106 104 72 107 72 215 134 160 118- - 32% 32% 32% 27% 38% 31% 29% 39% 33% 34% 35% 30% 30% 34% 33%

F hITake a cruise

- - 319 359 384 149 235 120 80 93 90 128 66 168 113 155 116- - 20% 23% 25% 20% 31% 24% 19% 28% 33% 33% 27% 20% 22% 26% 27%

c C F I HI N nFly on a plane

- - 252 281 278 119 159 80 65 73 60 90 47 125 90 108 80- - 18% 21% 23% 18% 28% 19% 18% 28% 29% 26% 24% 19% 21% 24% 24%

c C F HI HI NVisit a casino

- - 234 254 269 95 174 76 78 52 63 91 30 137 67 110 92- - 15% 17% 19% 13% 27% 16% 20% 18% 28% 25% 15% 17% 14% 21% 24%

C F Hij MN O OGo to a sporting event

- - 297 318 317 110 206 97 71 79 71 109 57 132 101 126 90- - 17% 18% 19% 14% 25% 18% 16% 21% 24% 26% 21% 15% 18% 20% 20%

F I N nStay in a hotel

- - 213 239 286 111 176 68 72 78 68 93 35 147 87 131 69- - 11% 13% 16% 12% 19% 13% 15% 18% 18% 18% 12% 16% 14% 19% 14%

CD F h h M m OqGreet people with ahandshake

- - 189 189 184 79 106 64 41 47 33 61 27 86 64 62 59- - 14% 14% 15% 12% 19% 14% 12% 18% 23% 18% 15% 14% 17% 13% 17%

F HITake public transportation(e.g., subway, busses,trains)

- - 213 216 221 93 128 61 51 69 40 85 42 87 64 89 68- - 13% 13% 14% 12% 16% 11% 11% 19% 15% 19% 16% 10% 12% 14% 15%

f HI N nGo to the movies

- - 206 240 221 83 137 53 58 47 63 71 41 99 69 89 62- - 12% 14% 13% 10% 16% 10% 13% 12% 22% 16% 15% 12% 12% 14% 14%

F HIJ nHost/attend a large socialgathering

- - 125 163 115 38 77 40 32 30 13 53 15 45 41 45 29- - 9% 12% 10% 6% 13% 9% 9% 12% 9% 17% 8% 7% 10% 10% 9%

c F MNGo to a gym class

- - 129 121 151 69 82 31 40 47 33 55 21 71 47 68 36- - 7% 6% 8% 8% 8% 6% 8% 10% 9% 10% 6% 8% 7% 10% 7%

HGo out to dinner

- - 78 54 55 27 28 29 17 5 4 22 7 23 18 23 14- - 6% 4% 4% 4% 5% 6% 4% 2% 4% 7% 4% 3% 4% 5% 4%

d J NGo to the office




of the following?Summary Of Never Again






- - 259 253 291 123 168 61 73 67 90 85 61 129 96 108 87- - 19% 19% 23% 18% 28% 14% 20% 25% 41% 27% 30% 18% 22% 23% 24%

C F H HIJ N NTake a cruise

- - 195 239 245 80 165 54 41 60 89 89 56 92 87 94 64- - 10% 13% 13% 9% 18% 10% 9% 14% 24% 17% 18% 10% 14% 14% 13%

c C F i HIJ N NGreet people with ahandshake

- - 121 112 124 48 77 35 35 32 21 47 27 45 44 45 35- - 9% 8% 10% 7% 14% 8% 11% 13% 15% 14% 15% 7% 12% 10% 10%

F h H N NTake public transportation(e.g., subway, busses,trains)

- - 94 82 109 42 67 24 31 21 32 52 25 29 35 41 34- - 7% 6% 9% 7% 12% 5% 9% 9% 22% 16% 14% 4% 9% 9% 10%

D F HIJ N NGo to a gym class

- - 125 102 103 56 47 31 30 20 21 34 15 50 38 33 32- - 9% 8% 8% 9% 8% 8% 9% 8% 10% 10% 8% 8% 9% 7% 9%

Visit a casino

- - 101 78 110 40 70 27 31 22 30 51 26 31 41 29 39- - 6% 5% 7% 5% 9% 5% 7% 7% 11% 13% 11% 4% 8% 5% 9%

D F H N N p PFly on a plane

- - 91 76 92 39 53 30 25 16 21 32 21 37 24 25 42- - 6% 5% 7% 5% 8% 6% 6% 5% 9% 9% 10% 5% 5% 5% 11%

f N N OPGo to a sporting event

- - 75 55 76 31 45 12 31 12 22 28 15 32 24 27 25- - 4% 3% 5% 4% 5% 2% 7% 3% 8% 6% 6% 4% 5% 4% 5%

Hj HJGo to the movies

- - 73 76 73 37 36 18 23 12 20 33 6 32 23 29 21- - 4% 5% 4% 5% 4% 3% 5% 3% 7% 7% 2% 4% 4% 5% 5%

hj MNHost/attend a large socialgathering

- - 57 59 64 27 37 18 24 10 12 29 12 22 20 24 21- - 3% 3% 4% 3% 4% 3% 5% 3% 4% 7% 5% 2% 3% 4% 5%

NStay in a hotel

- - 44 38 40 25 15 9 16 5 10 19 5 17 17 11 11- - 3% 3% 3% 4% 3% 2% 4% 2% 10% 6% 3% 2% 4% 2% 3%

HiJ mNGo to the office

- - 43 21 30 20 10 8 15 4 3 13 3 15 16 7 7- - 2% 1% 2% 2% 1% 1% 3% 1% 1% 2% 1% 2% 2% 1% 1%

D jkGo out to dinner




of the following?Fly on a plane






- - 126 102 101 67 34 32 46 18 5 18 16 66 48 29 25- - 8% 7% 7% 9% 4% 6% 11% 5% 2% 5% 6% 8% 9% 5% 6%

G K hJK k PImmediately

- - 188 196 187 113 73 77 56 29 25 33 32 116 56 86 44- - 12% 13% 12% 15% 10% 15% 13% 9% 9% 9% 13% 14% 11% 15% 10%

G Jk L1-30 days

- - 327 292 286 157 129 96 96 50 44 44 38 200 120 96 69- - 20% 19% 19% 21% 17% 19% 23% 15% 16% 11% 15% 24% 24% 16% 16%

Jk LM PQ2-3 months

- - 359 316 285 154 131 89 75 78 44 68 38 170 76 130 79- - 22% 20% 19% 20% 17% 18% 18% 23% 16% 18% 15% 20% 15% 22% 18%

E O4-6 months

- - 179 217 179 82 97 61 36 46 35 42 32 87 55 63 61- - 11% 14% 12% 11% 13% 12% 9% 14% 13% 11% 13% 10% 11% 11% 14%

c i7-11 months

- - 319 359 384 149 235 120 80 93 90 128 66 168 113 155 116- - 20% 23% 25% 20% 31% 24% 19% 28% 33% 33% 27% 20% 22% 26% 27%

c C F I HI N nA year or longer

- - 101 78 110 40 70 27 31 22 30 51 26 31 41 29 39- - 6% 5% 7% 5% 9% 5% 7% 7% 11% 13% 11% 4% 8% 5% 9%

D F H N N p PNever again

- - 1599 1558 1532 762 769 503 420 336 273 385 248 839 509 589 434- - 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 621 535 417 372 211 156 364 192 558 419 427 310Unweighted Base-** -** 1319 1330 1190 622 568 454 351 236 149* 315 180 656 393 460 337Weighted Base

- - 157 164 176 110 67 60 65 43 8 28 25 118 68 55 53- - 12% 12% 15% 18% 12% 13% 18% 18% 5% 9% 14% 18% 17% 12% 16%

c G K K K L pImmediately

- - 336 316 253 141 112 112 67 46 28 59 48 140 82 106 65- - 25% 24% 21% 23% 20% 25% 19% 19% 19% 19% 27% 21% 21% 23% 19%

E l1-30 days

- - 278 257 259 148 111 106 75 56 22 51 28 170 85 103 71- - 21% 19% 22% 24% 20% 23% 21% 24% 15% 16% 16% 26% 22% 22% 21%

LM2-3 months

- - 219 233 176 94 83 73 49 23 31 46 30 95 54 72 51- - 17% 18% 15% 15% 15% 16% 14% 10% 21% 15% 16% 14% 14% 16% 15%

j J4-6 months

- - 111 115 101 50 52 39 32 17 14 27 8 60 29 38 34- - 8% 9% 9% 8% 9% 9% 9% 7% 9% 9% 5% 9% 7% 8% 10%

7-11 months

- - 125 163 115 38 77 40 32 30 13 53 15 45 41 45 29- - 9% 12% 10% 6% 13% 9% 9% 12% 9% 17% 8% 7% 10% 10% 9%

c F MNA year or longer

- - 94 82 109 42 67 24 31 21 32 52 25 29 35 41 34- - 7% 6% 9% 7% 12% 5% 9% 9% 22% 16% 14% 4% 9% 9% 10%

D F HIJ N NNever again

- - 1319 1330 1190 622 568 454 351 236 149 315 180 656 393 460 337- - 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 48 22 19 35 11 6 15 11 44 32 19 20- - 7% 5% 6% 7% 4% 5% 10% 4% 3% 5% 5% 6% 7% 4% 6%

G HJKImmediately

- - 103 94 85 57 28 34 36 10 4 19 15 49 32 30 22- - 7% 7% 7% 8% 5% 8% 10% 4% 2% 6% 7% 7% 7% 6% 6%

G jK JK1-30 days

- - 151 144 121 92 29 55 40 11 15 25 13 82 48 38 35- - 11% 11% 9% 14% 5% 13% 11% 4% 7% 8% 6% 12% 11% 8% 10%

G Jk J m2-3 months

- - 188 184 159 92 67 71 48 29 10 32 21 103 55 71 32- - 14% 14% 12% 14% 11% 17% 13% 11% 5% 10% 10% 15% 12% 15% 9%

K K k q4-6 months

- - 153 144 139 79 60 51 30 33 24 31 14 86 47 49 43- - 11% 11% 11% 12% 10% 12% 8% 13% 11% 10% 7% 12% 11% 10% 12%

m7-11 months

- - 436 418 411 184 228 129 106 104 72 107 72 215 134 160 118- - 32% 32% 32% 27% 38% 31% 29% 39% 33% 34% 35% 30% 30% 34% 33%

F hIA year or longer

- - 259 253 291 123 168 61 73 67 90 85 61 129 96 108 87- - 19% 19% 23% 18% 28% 14% 20% 25% 41% 27% 30% 18% 22% 23% 24%

C F H HIJ N NNever again

- - 1382 1303 1276 674 602 420 369 266 221 314 206 709 444 475 358- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?Go out to dinner






- - 300 265 238 130 108 82 74 59 23 59 37 138 106 74 58- - 16% 14% 13% 14% 11% 15% 15% 13% 6% 11% 12% 15% 16% 11% 11%

E g K K K l PQImmediately

- - 571 557 569 294 275 179 140 132 118 150 109 277 191 225 152- - 30% 29% 30% 32% 28% 32% 29% 29% 31% 27% 34% 30% 29% 32% 29%

l1-30 days

- - 466 500 464 214 249 134 110 114 105 132 85 230 153 159 152- - 24% 26% 25% 24% 26% 24% 23% 25% 28% 24% 27% 25% 23% 23% 29%

op2-3 months

- - 280 321 311 131 179 83 74 78 75 97 48 153 110 118 83- - 15% 17% 17% 14% 18% 15% 15% 17% 20% 18% 15% 16% 17% 17% 16%

f h4-6 months

- - 125 126 120 47 73 45 31 24 20 45 19 47 31 50 39- - 7% 7% 6% 5% 7% 8% 6% 5% 5% 8% 6% 5% 5% 7% 7%

N7-11 months

- - 129 121 151 69 82 31 40 47 33 55 21 71 47 68 36- - 7% 6% 8% 8% 8% 6% 8% 10% 9% 10% 6% 8% 7% 10% 7%

HA year or longer

- - 43 21 30 20 10 8 15 4 3 13 3 15 16 7 7- - 2% 1% 2% 2% 1% 1% 3% 1% 1% 2% 1% 2% 2% 1% 1%

D jkNever again

- - 1913 1910 1882 905 977 562 483 459 377 551 322 931 653 702 528- - 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 70 23 24 40 19 10 21 20 49 40 27 26- - 9% 8% 8% 11% 4% 6% 11% 7% 5% 6% 11% 8% 9% 6% 8%

G HkImmediately

- - 185 190 152 86 67 60 44 26 22 37 28 80 56 53 44- - 13% 14% 12% 13% 12% 15% 12% 10% 11% 11% 15% 12% 13% 12% 13%

1-30 days

- - 300 243 235 131 104 82 80 39 34 52 38 142 93 86 56- - 21% 18% 19% 20% 18% 20% 22% 15% 16% 15% 20% 22% 21% 19% 17%

j L2-3 months

- - 255 256 217 122 94 84 63 45 25 71 27 112 72 94 51- - 18% 19% 18% 19% 16% 20% 18% 17% 12% 21% 14% 17% 17% 20% 15%

k m4-6 months

- - 166 151 150 70 80 49 34 36 32 35 18 88 42 58 50- - 12% 11% 12% 11% 14% 12% 9% 14% 16% 10% 9% 14% 10% 13% 15%

i7-11 months

- - 252 281 278 119 159 80 65 73 60 90 47 125 90 108 80- - 18% 21% 23% 18% 28% 19% 18% 28% 29% 26% 24% 19% 21% 24% 24%

c C F HI HI NA year or longer

- - 125 102 103 56 47 31 30 20 21 34 15 50 38 33 32- - 9% 8% 8% 9% 8% 8% 9% 8% 10% 10% 8% 8% 9% 7% 9%

Never again

- - 1410 1326 1227 654 573 409 356 259 204 341 193 646 431 459 338- - 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 63 46 30 45 21 13 18 19 69 52 28 29- - 9% 8% 7% 8% 5% 6% 10% 6% 4% 4% 7% 8% 9% 5% 6%

e HjK L PImmediately

- - 256 224 203 120 83 86 57 40 20 44 48 109 72 72 59- - 15% 13% 12% 15% 10% 16% 13% 11% 7% 10% 18% 12% 12% 12% 13%

G jK k Ln1-30 days

- - 398 376 365 195 170 117 107 83 57 74 55 219 149 132 84- - 23% 22% 22% 24% 20% 22% 24% 22% 20% 17% 20% 25% 26% 21% 19%

L Q2-3 months

- - 386 390 375 194 181 115 92 100 69 95 54 219 109 167 100- - 22% 23% 23% 24% 21% 22% 21% 27% 24% 22% 20% 25% 19% 27% 22%

O4-6 months

- - 185 221 211 91 119 64 53 44 50 57 29 107 72 76 62- - 11% 13% 13% 11% 14% 12% 12% 12% 17% 13% 11% 12% 13% 12% 14%

7-11 months

- - 297 318 317 110 206 97 71 79 71 109 57 132 101 126 90- - 17% 18% 19% 14% 25% 18% 16% 21% 24% 26% 21% 15% 18% 20% 20%

F I N nA year or longer

- - 57 59 64 27 37 18 24 10 12 29 12 22 20 24 21- - 3% 3% 4% 3% 4% 3% 5% 3% 4% 7% 5% 2% 3% 4% 5%

NNever again

- - 1731 1725 1644 801 842 527 449 377 291 425 275 876 574 626 444- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?Go to the office






- - 438 432 368 206 162 107 133 101 28 70 61 223 137 147 83- - 33% 32% 30% 30% 28% 22% 33% 37% 27% 24% 33% 31% 32% 31% 24%

H H L L q qImmediately

- - 393 411 363 168 194 147 106 78 33 86 52 211 117 136 110- - 30% 31% 29% 25% 34% 31% 27% 29% 32% 29% 28% 29% 27% 29% 32%

F1-30 days

- - 209 188 221 132 89 98 60 43 20 51 36 124 76 83 63- - 16% 14% 18% 20% 16% 21% 15% 16% 19% 17% 20% 17% 18% 17% 18%

D i2-3 months

- - 105 138 136 87 49 62 41 31 3 23 18 91 41 55 41- - 8% 10% 11% 13% 9% 13% 10% 11% 3% 8% 10% 13% 10% 12% 12%

C g K k K l4-6 months

- - 48 81 63 31 32 25 24 8 6 27 5 27 19 20 24- - 4% 6% 5% 5% 6% 5% 6% 3% 6% 9% 3% 4% 5% 4% 7%

C MN7-11 months

- - 78 54 55 27 28 29 17 5 4 22 7 23 18 23 14- - 6% 4% 4% 4% 5% 6% 4% 2% 4% 7% 4% 3% 4% 5% 4%

d J NA year or longer

- - 44 38 40 25 15 9 16 5 10 19 5 17 17 11 11- - 3% 3% 3% 4% 3% 2% 4% 2% 10% 6% 3% 2% 4% 2% 3%

HiJ mNNever again

- - 1315 1342 1247 676 570 476 396 271 104 298 185 716 426 475 346- - 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 83 34 45 38 28 6 24 19 73 51 42 24- - 10% 8% 8% 11% 5% 9% 10% 10% 2% 7% 9% 9% 11% 8% 6%

G K K K qImmediately

- - 248 221 195 127 68 67 78 32 17 41 24 121 64 75 55- - 16% 15% 14% 17% 11% 14% 20% 11% 8% 11% 12% 15% 13% 14% 14%

G k hJK1-30 days

- - 353 318 269 153 116 109 78 49 32 50 43 169 108 95 66- - 23% 21% 19% 20% 18% 23% 20% 17% 14% 14% 21% 22% 23% 18% 17%

E K l L2-3 months

- - 286 321 282 154 128 99 69 68 47 79 40 156 99 120 63- - 19% 22% 20% 21% 20% 21% 17% 24% 20% 22% 20% 20% 21% 23% 16%

q4-6 months

- - 162 184 163 98 65 46 32 42 43 41 28 88 65 55 42- - 11% 12% 12% 13% 10% 10% 8% 15% 19% 11% 14% 11% 14% 11% 11%

I HI7-11 months

- - 234 254 269 95 174 76 78 52 63 91 30 137 67 110 92- - 15% 17% 19% 13% 27% 16% 20% 18% 28% 25% 15% 17% 14% 21% 24%

C F Hij MN O OA year or longer

- - 91 76 92 39 53 30 25 16 21 32 21 37 24 25 42- - 6% 5% 7% 5% 8% 6% 6% 5% 9% 9% 10% 5% 5% 5% 11%

f N N OPNever again

- - 1519 1490 1386 749 638 472 399 286 229 359 205 782 479 523 385- - 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 80 43 41 47 27 7 27 20 71 37 49 36- - 9% 7% 8% 10% 5% 8% 11% 8% 3% 6% 8% 9% 7% 8% 8%

G K K KImmediately

- - 351 305 322 182 140 129 85 68 40 77 57 173 119 130 73- - 21% 18% 20% 23% 17% 24% 19% 19% 15% 17% 21% 21% 23% 21% 16%

G K Q1-30 days

- - 420 446 400 189 211 157 115 85 43 99 62 228 133 141 126- - 25% 27% 25% 24% 26% 29% 26% 24% 17% 22% 23% 27% 25% 22% 28%

K K k l2-3 months

- - 319 343 310 146 164 101 76 65 68 80 50 163 88 137 85- - 19% 21% 19% 18% 20% 18% 17% 18% 26% 18% 19% 20% 17% 22% 19%

HIj o4-6 months

- - 170 170 160 75 86 46 43 32 39 54 22 77 62 57 42- - 10% 10% 10% 9% 11% 8% 10% 9% 15% 12% 8% 9% 12% 9% 9%

Hij7-11 months

- - 213 216 221 93 128 61 51 69 40 85 42 87 64 89 68- - 13% 13% 14% 12% 16% 11% 11% 19% 15% 19% 16% 10% 12% 14% 15%

f HI N nA year or longer

- - 75 55 76 31 45 12 31 12 22 28 15 32 24 27 25- - 4% 3% 5% 4% 5% 2% 7% 3% 8% 6% 6% 4% 5% 4% 5%

Hj HJNever again

- - 1697 1650 1612 796 815 546 448 358 260 451 268 832 526 630 455- - 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 70 49 51 40 23 5 31 23 63 50 37 32- - 8% 7% 7% 9% 6% 10% 9% 6% 2% 7% 9% 7% 9% 6% 7%

g K K KImmediately

- - 336 297 298 156 142 119 83 61 35 65 54 168 110 103 85- - 19% 18% 18% 19% 17% 22% 19% 16% 12% 15% 20% 19% 20% 16% 19%

jK k l1-30 days

- - 437 410 420 209 212 151 105 97 68 100 67 228 155 154 111- - 25% 24% 26% 26% 25% 28% 24% 25% 24% 23% 25% 26% 28% 24% 24%

2-3 months

- - 351 345 326 157 169 94 88 89 55 81 48 188 98 141 88- - 20% 20% 20% 19% 20% 18% 20% 23% 19% 18% 18% 22% 17% 22% 19%

o4-6 months

- - 180 203 190 93 97 48 46 58 37 63 29 84 57 77 55- - 10% 12% 12% 12% 11% 9% 11% 15% 13% 14% 11% 10% 10% 12% 12%

H N7-11 months

- - 206 240 221 83 137 53 58 47 63 71 41 99 69 89 62- - 12% 14% 13% 10% 16% 10% 13% 12% 22% 16% 15% 12% 12% 14% 14%

F HIJ nA year or longer

- - 73 76 73 37 36 18 23 12 20 33 6 32 23 29 21- - 4% 5% 4% 5% 4% 3% 5% 3% 7% 7% 2% 4% 4% 5% 5%

hj MNNever again

- - 1729 1689 1647 805 842 534 442 386 285 443 269 863 562 631 455- - 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 84 35 40 45 21 13 30 28 59 41 46 31- - 13% 11% 10% 13% 6% 9% 14% 8% 9% 9% 15% 9% 11% 10% 9%

e G h lnImmediately

- - 253 285 224 124 100 105 65 39 15 66 34 118 65 104 54- - 19% 21% 19% 19% 18% 23% 20% 15% 10% 19% 19% 19% 17% 22% 16%

jK k1-30 days

- - 302 248 250 166 84 102 73 50 25 67 28 153 76 97 77- - 22% 19% 21% 26% 15% 22% 22% 19% 18% 19% 15% 24% 20% 20% 23%

d G M2-3 months

- - 219 213 181 89 92 82 41 38 19 38 23 119 59 74 47- - 16% 16% 15% 14% 17% 18% 13% 15% 13% 11% 13% 19% 16% 16% 14%

L4-6 months

- - 101 141 107 51 56 36 28 27 16 33 16 54 26 47 34- - 7% 11% 9% 8% 10% 8% 8% 11% 11% 10% 9% 9% 7% 10% 10%

C7-11 months

- - 189 189 184 79 106 64 41 47 33 61 27 86 64 62 59- - 14% 14% 15% 12% 19% 14% 12% 18% 23% 18% 15% 14% 17% 13% 17%

F HIA year or longer

- - 121 112 124 48 77 35 35 32 21 47 27 45 44 45 35- - 9% 8% 10% 7% 14% 8% 11% 13% 15% 14% 15% 7% 12% 10% 10%

F h H N NNever again

- - 1362 1327 1190 640 550 465 329 255 142 341 182 634 377 476 337- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?Greet people with a handshake






- - 200 190 176 117 60 62 57 34 23 45 31 90 70 52 55- - 11% 10% 10% 13% 6% 12% 12% 8% 6% 9% 10% 10% 11% 8% 11%

G K jK pImmediately

- - 393 322 305 177 128 110 88 65 42 77 55 162 103 115 86- - 21% 17% 17% 20% 14% 21% 19% 15% 11% 15% 18% 18% 16% 17% 17%

DE G jK K1-30 days

- - 424 401 377 204 173 111 106 100 60 96 63 201 135 141 101- - 22% 21% 21% 23% 19% 21% 23% 23% 16% 18% 21% 22% 21% 21% 20%

K k2-3 months

- - 302 307 289 147 141 89 74 62 63 84 38 156 108 104 76- - 16% 16% 16% 16% 15% 17% 16% 14% 17% 16% 12% 17% 17% 15% 15%

m4-6 months

- - 162 171 142 63 79 38 30 42 32 44 27 60 44 50 48- - 9% 9% 8% 7% 9% 7% 6% 10% 8% 8% 9% 7% 7% 7% 10%

7-11 months

- - 213 239 286 111 176 68 72 78 68 93 35 147 87 131 69- - 11% 13% 16% 12% 19% 13% 15% 18% 18% 18% 12% 16% 14% 19% 14%

CD F h h M m OqA year or longer

- - 195 239 245 80 165 54 41 60 89 89 56 92 87 94 64- - 10% 13% 13% 9% 18% 10% 9% 14% 24% 17% 18% 10% 14% 14% 13%

c C F i HIJ N NNever again

- - 1888 1869 1820 899 921 533 468 442 377 528 305 909 634 686 500- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 217Q41 Who do you blame more for the spread of coronavirus in the United States?






- - 1103 1213 1155 575 579 318 294 297 245 364 210 528 531 298 326- - 55% 60% 58% 60% 56% 54% 58% 61% 59% 59% 63% 55% 78% 40% 58%

C c g h N PQ PThe Chinese government

- - 920 803 838 377 462 273 212 187 167 251 123 426 152 452 235- - 45% 40% 42% 40% 44% 46% 42% 39% 41% 41% 37% 45% 22% 60% 42%

De f j M OQ OThe US government

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 218GOV01 Do you think that the government of China was accurate in reporting the impacts of the coronavirus on its country or did

they report on it inaccurately?Base: All Respondents





- - - - 558 304 254 230 174 96 58 169 79 292 148 256 154- - - - 28% 32% 24% 39% 34% 20% 14% 27% 24% 31% 22% 34% 28%

G JK JK k m OQ oAccurate

- - - - 1435 648 787 361 331 388 355 447 254 662 535 494 406- - - - 72% 68% 76% 61% 66% 80% 86% 73% 76% 69% 78% 66% 72%

F HI HIj n Pq PInaccurate

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 219GOV02 Do you think the Chinese government is responsible or not responsible for the spread of the corona virus?






- - - - 1538 755 782 449 385 384 320 479 265 724 617 500 422- - - - 77% 79% 75% 76% 76% 79% 78% 78% 80% 76% 90% 67% 75%

g PQ PYes

- - - - 455 197 258 142 121 100 92 136 67 230 66 250 139- - - - 23% 21% 25% 24% 24% 21% 22% 22% 20% 24% 10% 33% 25%

f OQ ONo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 220Q42 Do you agree with The President characterizing the coronavirus as ’The Chinese Virus’?






- - 1060 1091 1036 553 483 279 262 273 221 319 171 501 551 225 259- - 52% 54% 52% 58% 46% 47% 52% 56% 54% 52% 51% 53% 81% 30% 46%

G H PQ PStrongly/Somewhat Agree(Net)

- - 614 614 626 337 288 149 165 175 137 169 105 321 377 109 140- - 30% 30% 31% 35% 28% 25% 33% 36% 33% 27% 32% 34% 55% 15% 25%

G H H H L PQ P Strongly agree

- - 446 478 410 215 194 131 97 98 84 149 66 180 174 117 119- - 22% 24% 21% 23% 19% 22% 19% 20% 20% 24% 20% 19% 26% 16% 21%

e g N P P Somewhat agree

- - 963 925 957 399 558 312 243 211 191 297 162 452 131 524 301- - 48% 46% 48% 42% 54% 53% 48% 44% 46% 48% 49% 47% 19% 70% 54%

F J OQ OStrongly/SomewhatDisagree (Net)

- - 303 296 342 160 183 119 86 72 65 114 61 151 68 136 139- - 15% 15% 17% 17% 18% 20% 17% 15% 16% 18% 18% 16% 10% 18% 25%

d j O OP Somewhat disagree

- - 660 628 615 240 375 193 158 139 126 183 101 301 64 388 163- - 33% 31% 31% 25% 36% 33% 31% 29% 30% 30% 30% 32% 9% 52% 29%

F OQ O Strongly disagree

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 221GOV03 Do you favor or oppose the tougher trade policies that President Trump enforced against China?






- - - - 1379 683 696 392 357 344 286 414 238 674 612 395 373- - - - 69% 72% 67% 66% 71% 71% 69% 67% 71% 71% 90% 53% 66%

g PQ PFavor

- - - - 614 269 345 199 149 140 126 201 95 279 70 355 188- - - - 31% 28% 33% 34% 29% 29% 31% 33% 29% 29% 10% 47% 34%

f OQ OOppose

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 222GOV04 Should China be required to pay other countries for the spread of the virus or is that not the responsibility of China?






- - - - 1079 550 529 335 291 258 194 362 171 502 482 307 289- - - - 54% 58% 51% 57% 58% 53% 47% 59% 51% 53% 71% 41% 52%

G K K mn PQ PChina should be requiredto pay

- - - - 914 402 512 256 215 226 218 253 162 451 200 442 272- - - - 46% 42% 49% 43% 42% 47% 53% 41% 49% 47% 29% 59% 48%

F HI l l OQ OIt is not China’sresponsibility to pay

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 223GOV05 Should president Trump take a tougher position on China, softer position or the same position on China?






- - - - 998 499 498 260 258 275 206 318 183 461 454 287 257- - - - 50% 52% 48% 44% 51% 57% 50% 52% 55% 48% 66% 38% 46%

h H n PQ PTougher position on China

- - - - 342 178 164 135 98 64 46 73 41 223 60 176 106- - - - 17% 19% 16% 23% 19% 13% 11% 12% 12% 23% 9% 23% 19%

JK JK LM O OSofter position on China

- - - - 653 274 379 196 150 146 161 225 109 270 169 287 197- - - - 33% 29% 36% 33% 30% 30% 39% 37% 33% 28% 25% 38% 35%

F IJ N O OThe same

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 224GOV06 China is required under the trade agreement to buy $250 billion of American goods. Do you think they will do that or

fail to do that?Base: All Respondents





- - - - 978 514 464 308 276 209 185 282 165 501 350 356 272- - - - 49% 54% 45% 52% 55% 43% 45% 46% 49% 53% 51% 48% 48%

G Jk JK LChina will buy $250 billionof American goods

- - - - 1015 438 577 283 229 276 227 333 168 452 332 394 289- - - - 51% 46% 55% 48% 45% 57% 55% 54% 51% 47% 49% 52% 52%

F HI hI NChina will not buy $250billion of American goods

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 225GOV07. If China fails to purchase those goods should the us reimpose tough tariffs on them or not?






- - - - 1457 710 747 393 376 373 315 450 251 687 586 481 389- - - - 73% 75% 72% 67% 74% 77% 76% 73% 75% 72% 86% 64% 69%

H H H PQYes

- - - - 536 243 294 198 130 111 97 166 82 266 96 269 172- - - - 27% 25% 28% 33% 26% 23% 24% 27% 25% 28% 14% 36% 31%

IJK O ONo

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 226GOV08 In general do you think American companies should continue to manufacture goods in China or pull back from making goods

there?Base: All Respondents





- - - - 580 323 256 263 172 86 59 139 73 347 162 256 162- - - - 29% 34% 25% 44% 34% 18% 14% 23% 22% 36% 24% 34% 29%

G IJK JK LM OContinue to manufacturein China

- - - - 1413 629 785 328 334 398 353 476 260 606 520 494 399- - - - 71% 66% 75% 56% 66% 82% 86% 77% 78% 64% 76% 66% 71%

F H HI HI N N PPull back frommanufacturing in China

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 227GOV09 If it turns out that China has been underreporting cases and deaths due to coronavirus, do you think...?






- - - - 743 366 377 202 219 198 124 241 118 353 393 175 175- - - - 37% 38% 36% 34% 43% 41% 30% 39% 35% 37% 58% 23% 31%

HK hK PQ PPresident Trump shouldunilaterally imposeeconomic sanctions

- - - - 866 416 450 305 203 177 180 249 159 422 203 401 261- - - - 43% 44% 43% 52% 40% 37% 44% 41% 48% 44% 30% 53% 47%

IJk j l Oq OCongress should vote toimpose economic sanctions

- - - - 385 170 214 84 83 109 109 125 56 178 87 173 125- - - - 19% 18% 21% 14% 17% 23% 26% 20% 17% 19% 13% 23% 22%

Hi HI O ONo action should be taken

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 228Q34 How many months will it take for things to return back to normal (e.g., schools and businesses reopen, no social

distancing, etc.)?Base: All Respondents





6 7 5 10 13 2 11 8 3 2 - 6 - 5 2 5 6* * * 1% 1% * 1% 1% 1% * - 1% - * * 1% 1%

c f k0

1858 1853 1831 1661 1550 756 794 476 406 366 302 457 261 761 557 555 43891% 92% 91% 82% 78% 79% 76% 81% 80% 76% 73% 74% 78% 80% 82% 74% 78%DE DE DE E K K L P

1 - 10

131 131 128 298 346 160 186 92 64 98 92 128 65 141 106 149 916% 7% 6% 15% 17% 17% 18% 16% 13% 20% 22% 21% 19% 15% 16% 20% 16%

ABC ABCd I HI N o11 - 20

32 9 28 26 56 19 37 9 19 12 16 17 3 35 11 29 172% * 1% 1% 3% 2% 4% 1% 4% 2% 4% 3% 1% 4% 2% 4% 3%B B B ABCD h h M O

21 - 30

6 7 9 1 10 2 9 2 4 4 * 2 3 5 1 6 3* * * * 1% * 1% * 1% 1% * * 1% 1% * 1% 1%

d D o31 - 40

9 1 10 8 8 7 1 1 6 - 1 1 1 5 4 1 2* * * * * 1% * * 1% - * * * * 1% * * b B b b G hj

41 - 50

1 2 2 3 2 1 1 - 1 1 1 2 - 1 1 2 -* * * * * * * - * * * * - * * * -

51 - 60

1 1 - - - - - - - - - - - - - - -* * - - - - - - - - - - - - - - -

61 - 70

5 - - - 3 1 1 1 2 - - - * 1 - 2 ** - - - * * * * * - - - * * - * *

bcd71 - 80

- 3 - 1 1 - 1 1 - 1 - 1 - 1 - 1 1- * - * * - * * - * - * - * - * *

81 - 90

- 5 10 9 2 2 - 1 - 1 - 1 - 1 * - 2- * 1% * * * - * - * - * - * * - *

a Ae Ae91+

4.6 4.7 5.3 6.6 7.4 7.3 7.5 6.6 7.6 7.7 7.9 7.6 7.1 7.3 6.7 8.0 7.4Ab ABC ABCD h H O

Mean (Incl. 0)

6.60 7.30 8.79 8.43 7.59 7.97 7.23 7.33 8.49 8.07 5.99 8.05 6.14 7.52 6.14 8.01 8.51Std. Dev. (Incl. 0)0.15 0.16 0.20 0.19 0.17 0.26 0.23 0.31 0.37 0.37 0.29 0.29 0.32 0.27 0.23 0.30 0.36Std. Err. (Incl. 0)

3 3 3 5 6 6 6 5 6 6 6 6 6 6 6 6 6Median (Incl. 0)4.6 4.7 5.3 6.6 7.4 7.3 7.5 6.7 7.6 7.7 7.9 7.7 7.1 7.3 6.7 8.0 7.5

Ab ABC ABCD h H OMean (Excl. 0)

6.60 7.31 8.80 8.44 7.59 7.97 7.23 7.34 8.50 8.07 5.99 8.06 6.14 7.53 6.13 8.01 8.52Std. Dev. (Excl. 0)0.15 0.16 0.20 0.19 0.17 0.26 0.23 0.32 0.37 0.37 0.29 0.29 0.32 0.27 0.23 0.30 0.36Std. Err. (Excl. 0)

3 3 3 5 6 6 6 5 6 6 6 6 6 6 6 6 6Median (Excl. 0)2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561

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/QOverlap formulae used.


6 Apr 2020Table 228Q34 How many months will it take for things to return back to normal (e.g., schools and businesses reopen, no social

distancing, etc.)?Base: All Respondents




2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561Weighted 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/QOverlap formulae used.


6 Apr 2020Table 229Q36A Would you say we are in a global recession due to the coronavirus outbreak?






- - - 1689 1793 863 931 527 460 429 377 545 309 866 598 700 495- - - 84% 90% 91% 89% 89% 91% 89% 91% 89% 93% 91% 88% 93% 88%

D l OQYes

- - - 327 200 89 110 64 45 55 35 70 24 87 85 50 65- - - 16% 10% 9% 11% 11% 9% 11% 9% 11% 7% 9% 12% 7% 12%

E m P PNo

- - - 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 230Q37 How long do you believe it will take for financial markets to recover once the outbreak under control?






11 14 6 12 1 1 - - - 1 - 1 - - 1 - -1% 1% * 1% * * - - - * - * - - * - - E E E

0

1448 1338 1258 1204 1100 564 536 369 276 240 214 332 197 512 426 363 31171% 66% 62% 60% 55% 59% 52% 63% 55% 50% 52% 54% 59% 54% 62% 48% 56%

BCDE CDE E E G IJK PQ P1 - 10

398 473 463 557 598 266 332 169 154 159 116 184 99 295 176 263 15919% 23% 23% 28% 30% 28% 32% 29% 30% 33% 28% 30% 30% 31% 26% 35% 28%

A A ABC ABC OQ11 - 20

103 119 163 158 194 74 120 37 39 67 51 74 25 87 57 79 575% 6% 8% 8% 10% 8% 12% 6% 8% 14% 12% 12% 8% 9% 8% 11% 10%

AB Ab AB F HI Hi m21 - 30

45 34 58 45 62 24 38 9 22 10 20 11 10 40 15 29 182% 2% 3% 2% 3% 3% 4% 2% 4% 2% 5% 2% 3% 4% 2% 4% 3%

b B H Hj L31 - 40

22 12 39 10 17 13 3 2 8 * 6 4 * 9 3 7 71% 1% 2% * 1% 1% * * 2% * 1% 1% * 1% * 1% 1%

aBDE G hJ j41 - 50

8 7 17 11 8 3 5 - 2 5 2 3 * 5 2 4 1* * 1% 1% * * 1% - * 1% * * * * * 1% *

b h51 - 60

6 2 2 - * - * - - - * * - - - * -* * * - * - * - - - * * - - - * - d

61 - 70

4 8 5 2 6 3 4 1 3 1 1 3 1 2 2 3 1* * * * * * * * 1% * * * * * * * *

71 - 80

4 6 - 3 2 - 2 - * - 1 * - 1 * - 1* * - * * - * - * - * * - * * - *

c81 - 90

4 7 13 15 5 5 * 3 * 2 - 2 * 2 * * 5* * 1% 1% * 1% * * * * - * * * * * 1%

a Ae g op91+

8.8 9.5 11.1 10.6 11.4 11.0 11.8 9.6 11.8 12.0 12.7 11.7 10.3 11.6 9.8 12.2 12.2AB AB ABd H H H O O

Mean (Incl. 0)

10.95 11.36 13.05 12.03 10.93 11.47 10.40 9.81 11.55 10.89 11.42 11.34 8.95 11.23 9.43 10.51 12.84Std. Dev. (Incl. 0)0.24 0.25 0.29 0.27 0.24 0.37 0.32 0.42 0.50 0.50 0.55 0.41 0.47 0.40 0.35 0.39 0.55Std. Err. (Incl. 0)

6 6 6 6 8 8 10 6 9 12 10 9 8 9 6 12 8Median (Incl. 0)8.9 9.6 11.1 10.7 11.4 11.0 11.8 9.6 11.8 12.0 12.7 11.7 10.3 11.6 9.8 12.2 12.2

AB AB AB H H H m O OMean (Excl. 0)

10.96 11.37 13.05 12.04 10.93 11.47 10.40 9.81 11.55 10.89 11.42 11.34 8.95 11.23 9.43 10.51 12.84Std. Dev. (Excl. 0)0.24 0.25 0.29 0.27 0.24 0.37 0.32 0.42 0.50 0.50 0.55 0.41 0.47 0.40 0.35 0.39 0.55Std. Err. (Excl. 0)

6 6 6 7 8 8 10 6 9 12 10 9 8 9 6 12 8Median (Excl. 0)2050 2019 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561

100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%Sigma



6 Apr 2020Table 231Q37A As of this week over 6,000 Americans have died from the coronavirus with over 54,000 deaths worldwide. How many lives do

think will be lost in America due to the coronavirus?Base: All Respondents





- - - - 278 120 158 85 75 74 45 123 37 103 110 97 71- - - - 14% 13% 15% 14% 15% 15% 11% 20% 11% 11% 16% 13% 13%

CD MNBetween 5,000-10,000deaths

- - - - 550 233 317 144 117 151 139 150 111 261 224 181 145- - - - 28% 25% 30% 24% 23% 31% 34% 24% 33% 27% 33% 24% 26%

CD F hI HI Ln PQBetween 10,000 and50,000 deaths

- - - - 402 208 194 119 99 100 84 129 68 193 130 151 120- - - - 20% 22% 19% 20% 20% 21% 20% 21% 20% 20% 19% 20% 21%

CDBetween 50,000 and100,000 deaths

- - - - 437 232 205 125 119 94 98 118 69 229 138 183 116- - - - 22% 24% 20% 21% 24% 19% 24% 19% 21% 24% 20% 24% 21%

CD G lBetween 100,000 and250,000 deaths

- - - - 190 93 98 60 62 34 34 50 33 99 43 91 56- - - - 10% 10% 9% 10% 12% 7% 8% 8% 10% 10% 6% 12% 10%

CD J O oBetween 250,000 500,000deaths

- - - - 136 66 69 59 33 31 13 46 16 67 37 46 53- - - - 7% 7% 7% 10% 6% 6% 3% 7% 5% 7% 5% 6% 9%

CD iK k k OpOver 500,000 deaths

- - 480 81 - - - - - - - - - - - - -- - 24% 4% - - - - - - - - - - - - -

DE EUnder 1,000 deaths

- - 505 245 - - - - - - - - - - - - -- - 25% 12% - - - - - - - - - - - - -

DE EBetween 1,000 and 2,000deaths

- - 409 692 - - - - - - - - - - - - -- - 20% 34% - - - - - - - - - - - - -

E CEBetween 2,000 and 5,000deaths

- - 243 437 - - - - - - - - - - - - -- - 12% 22% - - - - - - - - - - - - -

E CEBetween 5,000 and 10,000deaths

- - 386 561 - - - - - - - - - - - - -- - 19% 28% - - - - - - - - - - - - -

E CEOver 10,000 deaths

- - 2023 2016 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 232LI01 Which do you think will have a bigger effect on the life of you and your family?






- - - - 765 402 363 232 205 168 160 262 122 350 259 290 217- - - - 38% 42% 35% 39% 41% 35% 39% 43% 37% 37% 38% 39% 39%

G nCoronavirus/COVID-19itself

- - - - 1228 550 678 359 300 316 253 353 211 603 424 460 344- - - - 62% 58% 65% 61% 59% 65% 61% 57% 63% 63% 62% 61% 61%

F lThe economic impacts ofthe coronavirus pandemic

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



6 Apr 2020Table 233LI02 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 533 614 285 269 295 298 337 201 549 412 404 330- - - - 58% 56% 59% 48% 53% 61% 72% 55% 60% 58% 60% 54% 59%

HI HIJ pFamily life

- - - - 1086 508 578 283 239 293 271 313 195 523 385 378 323- - - - 54% 53% 56% 48% 47% 61% 66% 51% 59% 55% 56% 50% 58%

HI HI L p PEating habits

- - - - 1031 481 550 236 233 259 303 311 171 495 389 350 292- - - - 52% 51% 53% 40% 46% 53% 73% 50% 52% 52% 57% 47% 52%

Hi HIJ PWork life

- - - - 935 424 511 257 246 217 215 294 177 421 351 314 270- - - - 47% 45% 49% 44% 49% 45% 52% 48% 53% 44% 51% 42% 48%

Hj N P pPersonal hygiene

- - - - 823 422 401 228 187 201 207 253 135 389 321 249 253- - - - 41% 44% 39% 39% 37% 42% 50% 41% 41% 41% 47% 33% 45%

G HIJ P PShopping habits

- - - - 742 367 375 188 183 184 186 236 126 346 271 233 238- - - - 37% 39% 36% 32% 36% 38% 45% 38% 38% 36% 40% 31% 43%

h HIj P PSocial activity

- - - - 684 327 357 168 174 173 168 222 122 308 260 215 209- - - - 34% 34% 34% 28% 35% 36% 41% 36% 37% 32% 38% 29% 37%

h H H P PTravel/vacation




very different, somewhat different or mostly the same?Summary Of Somewhat Different






- - - - 723 323 400 225 188 151 159 208 120 358 246 294 183- - - - 36% 34% 38% 38% 37% 31% 38% 34% 36% 38% 36% 39% 33%

f j j qSocial activity

- - - - 717 324 393 211 191 164 151 213 123 351 219 309 189- - - - 36% 34% 38% 36% 38% 34% 37% 35% 37% 37% 32% 41% 34%

OQShopping habits

- - - - 680 325 355 241 161 143 135 165 108 366 220 274 185- - - - 34% 34% 34% 41% 32% 30% 33% 27% 33% 38% 32% 37% 33%

IJK LTravel/vacation

- - - - 584 307 277 180 136 142 127 171 87 301 208 212 164- - - - 29% 32% 27% 30% 27% 29% 31% 28% 26% 32% 31% 28% 29%

GPersonal hygiene

- - - - 584 283 301 205 153 118 107 179 94 285 203 232 149- - - - 29% 30% 29% 35% 30% 24% 26% 29% 28% 30% 30% 31% 27%

JK jEating habits

- - - - 557 266 291 214 152 131 60 161 91 281 174 237 146- - - - 28% 28% 28% 36% 30% 27% 15% 26% 27% 29% 26% 32% 26%

iJK K K OqWork life

- - - - 540 267 273 211 138 113 78 169 81 269 175 223 142- - - - 27% 28% 26% 36% 27% 23% 19% 27% 24% 28% 26% 30% 25%

IJK KFamily life




very different, somewhat different or mostly the same?Summary Of Very Different






- - - - 630 301 329 182 170 168 110 229 103 280 202 261 167- - - - 32% 32% 32% 31% 34% 35% 27% 37% 31% 29% 30% 35% 30%

k K mNTravel/vacation

- - - - 528 262 266 178 134 149 67 171 87 249 166 223 139- - - - 26% 28% 26% 30% 27% 31% 16% 28% 26% 26% 24% 30% 25%

K K K oSocial activity

- - - - 474 221 253 154 124 126 70 151 69 231 124 224 126- - - - 24% 23% 24% 26% 24% 26% 17% 25% 21% 24% 18% 30% 22%

K K K OQPersonal hygiene

- - - - 453 206 247 151 128 119 55 149 74 214 143 191 119- - - - 23% 22% 24% 26% 25% 25% 13% 24% 22% 22% 21% 26% 21%

K K K oShopping habits

- - - - 405 205 200 141 120 94 50 144 70 178 120 162 123- - - - 20% 22% 19% 24% 24% 19% 12% 23% 21% 19% 18% 22% 22%

K K K nWork life

- - - - 323 161 162 103 113 73 34 124 44 145 95 140 89- - - - 16% 17% 16% 17% 22% 15% 8% 20% 13% 15% 14% 19% 16%

K JK K MN oEating habits

- - - - 306 152 154 95 98 76 37 110 51 136 96 123 88- - - - 15% 16% 15% 16% 19% 16% 9% 18% 15% 14% 14% 16% 16%

K K KFamily life



6 Apr 2020Table 236LI02_1 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?Shopping habits






- - - - 823 422 401 228 187 201 207 253 135 389 321 249 253- - - - 41% 44% 39% 39% 37% 42% 50% 41% 41% 41% 47% 33% 45%

G HIJ P PMostly the same

- - - - 717 324 393 211 191 164 151 213 123 351 219 309 189- - - - 36% 34% 38% 36% 38% 34% 37% 35% 37% 37% 32% 41% 34%

OQSomewhat different

- - - - 453 206 247 151 128 119 55 149 74 214 143 191 119- - - - 23% 22% 24% 26% 25% 25% 13% 24% 22% 22% 21% 26% 21%

K K K oVery different

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




very different, somewhat different or mostly the same?Eating habits






- - - - 1086 508 578 283 239 293 271 313 195 523 385 378 323- - - - 54% 53% 56% 48% 47% 61% 66% 51% 59% 55% 56% 50% 58%

HI HI L p PMostly the same

- - - - 584 283 301 205 153 118 107 179 94 285 203 232 149- - - - 29% 30% 29% 35% 30% 24% 26% 29% 28% 30% 30% 31% 27%

JK jSomewhat different

- - - - 323 161 162 103 113 73 34 124 44 145 95 140 89- - - - 16% 17% 16% 17% 22% 15% 8% 20% 13% 15% 14% 19% 16%

K JK K MN oVery different

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




very different, somewhat different or mostly the same?Social activity






- - - - 742 367 375 188 183 184 186 236 126 346 271 233 238- - - - 37% 39% 36% 32% 36% 38% 45% 38% 38% 36% 40% 31% 43%

h HIj P PMostly the same

- - - - 723 323 400 225 188 151 159 208 120 358 246 294 183- - - - 36% 34% 38% 38% 37% 31% 38% 34% 36% 38% 36% 39% 33%

f j j qSomewhat different

- - - - 528 262 266 178 134 149 67 171 87 249 166 223 139- - - - 26% 28% 26% 30% 27% 31% 16% 28% 26% 26% 24% 30% 25%

K K K oVery different

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




very different, somewhat different or mostly the same?Travel/vacation






- - - - 684 327 357 168 174 173 168 222 122 308 260 215 209- - - - 34% 34% 34% 28% 35% 36% 41% 36% 37% 32% 38% 29% 37%

h H H P PMostly the same

- - - - 680 325 355 241 161 143 135 165 108 366 220 274 185- - - - 34% 34% 34% 41% 32% 30% 33% 27% 33% 38% 32% 37% 33%

IJK LSomewhat different

- - - - 630 301 329 182 170 168 110 229 103 280 202 261 167- - - - 32% 32% 32% 31% 34% 35% 27% 37% 31% 29% 30% 35% 30%

k K mNVery different

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




very different, somewhat different or mostly the same?Work life






- - - - 1031 481 550 236 233 259 303 311 171 495 389 350 292- - - - 52% 51% 53% 40% 46% 53% 73% 50% 52% 52% 57% 47% 52%

Hi HIJ PMostly the same

- - - - 557 266 291 214 152 131 60 161 91 281 174 237 146- - - - 28% 28% 28% 36% 30% 27% 15% 26% 27% 29% 26% 32% 26%

iJK K K OqSomewhat different

- - - - 405 205 200 141 120 94 50 144 70 178 120 162 123- - - - 20% 22% 19% 24% 24% 19% 12% 23% 21% 19% 18% 22% 22%

K K K nVery different

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




very different, somewhat different or mostly the same?Family life






- - - - 1147 533 614 285 269 295 298 337 201 549 412 404 330- - - - 58% 56% 59% 48% 53% 61% 72% 55% 60% 58% 60% 54% 59%

HI HIJ pMostly the same

- - - - 540 267 273 211 138 113 78 169 81 269 175 223 142- - - - 27% 28% 26% 36% 27% 23% 19% 27% 24% 28% 26% 30% 25%

IJK KSomewhat different

- - - - 306 152 154 95 98 76 37 110 51 136 96 123 88- - - - 15% 16% 15% 16% 19% 16% 9% 18% 15% 14% 14% 16% 16%

K K KVery different

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




very different, somewhat different or mostly the same?Personal hygiene






- - - - 935 424 511 257 246 217 215 294 177 421 351 314 270- - - - 47% 45% 49% 44% 49% 45% 52% 48% 53% 44% 51% 42% 48%

Hj N P pMostly the same

- - - - 584 307 277 180 136 142 127 171 87 301 208 212 164- - - - 29% 32% 27% 30% 27% 29% 31% 28% 26% 32% 31% 28% 29%

GSomewhat different

- - - - 474 221 253 154 124 126 70 151 69 231 124 224 126- - - - 24% 23% 24% 26% 24% 26% 17% 25% 21% 24% 18% 30% 22%

K K K OQVery different

- - - - 1993 952 1041 591 505 484 412 616 333 953 683 750 561- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma


6 April 2020Fielding Period: March 14 - April 5, 2020COVID-19Weighted To The U.S. General Adult Population - Propensity

TitleTablePage

1 1 BHV01 Has your local or state government issued a stay-at-home order?2 2 Q3A. Which of the following best describes your response to coronavirus?3 3 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

4 4 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

5 5 Q8 Would you obey the following mandated restrictions?Summary Of Would Follow Restriction

6 6 Q8 Would you obey the following mandated restrictions?Summary Of Would Not Follow Restriction

7 7 EMP02 How concerned are you that you may lose your job due to the coronavirus outbreak?8 8 EMP04 Have you been working from home since the coronavirus pandemic?9 9 Q9 Do you think your income in 2020 will be lower, higher or about the same as it was in 2019?

10 10 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 payment

11 11 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 payment

12 12 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 member

13 13 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 friend

14 14 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 income

15 15 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 partially

16 16 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 entirely

17 17 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 normal

18 18 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 savings

19 19 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)

20 20 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)

21 21 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 way

22 22 EMP05_13 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?I have not been impacted financially

23 23 EMP06 If you were forced to rely on your savings due to the current pandemic, for how many months would you be able to live onthe amount that you have saved? If you are not sure, please use your best estimate.

24 24 REV01 Are you planning any major purchases once things return to normal and businesses re-open? Please select all that apply.25 25 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.26 26 Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Concerned27 27 Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Not At All/Not Very Concerned28 28 Q15_1 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Your personal health29 29 Q15_2 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The health of your older friends and relatives30 30 Q15_3 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The health of the broader American populace31 31 Q15_4 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The American economy32 32 Q15_5 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Your personal finances33 33 Q18 Which of the following is true for you?34 34 Q21 Which of the following is closest to your view of people’s reaction to the coronavirus (COVID-19) outbreak?


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35 35 Q15 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirusoutbreak?Summary Of Willing To Do

36 36 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

37 37 Q15_1 Which of the following sacrifices would you be willing to make, in order to help America through the coronavirusoutbreak?Quarantine indoors

38 38 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)

39 39 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

40 40 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

41 41 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

42 42 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

43 43 FR01_2 Have you felt any of the following since the stay-home orders have gone into effect?Claustrophobic- unable to escape my home

44 44 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

45 45 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

46 46 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

47 47 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

48 48 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

49 49 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

50 50 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

51 51 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)

52 52 FR02_2 While working from home, are you more likely to...Get properly dressed/Wear PJs/sweatpants

53 53 FR02_3 While working from home, are you more likely to...Take a shower daily/Skip a couple of days of showering

54 54 FR02_4 While working from home, are you more likely to...Work more/Work less

55 55 FR02_5 While working from home, are you more likely to...Maintain clear time boundaries (e.g., 9-5)/Work anytime that is needed

56 56 FR03 Are you a parent who is now staying at home with your child(ren)?57 57 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 kids58 58 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 happy59 59 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 systems60 60 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 calls61 61 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 break62 62 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 kids63 63 FR05 Which of the following would you say you miss the most during this time of virus-related shutdowns? Select the top three.64 64 FR06 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


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65 65 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

66 66 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.

67 67 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.

68 68 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.

69 69 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.

70 70 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.

71 71 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.

72 72 FR07 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19pandemic?Summary Of Should Remain Operational

73 73 FR07 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19pandemic?Summary Of Should Close

74 74 FR07_1 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19pandemic?Grocery stores

75 75 FR07_2 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19pandemic?Large online retailers (e.g., Amazon)

76 76 FR07_3 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19pandemic?Big box retailers that do not sell groceries

77 77 FR07_4 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19pandemic?Banks

78 78 FR07_5 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19pandemic?Hardware/home improvement stores

79 79 FR07_6 Which of the following types of businesses do you think are essential and should remain operating during the COVID-19pandemic?Food delivery apps (e.g., Instacart, Doordash)

80 80 FR08 If an employee working for an essential business were given proper facemasks and protection, do you think they should berequired to go into work?

81 81 FR09 If an employer provides proper protection for an employee against COVID-19, should the employer be allowed to fire anemployee who refuses to come in to work?

82 82 FR10 Which is closer to your view?83 83 Q24 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus

outbreak?Summary Of Trustworthy

84 84 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)

85 85 Q24_2 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?National media

86 86 Q24_3 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Local media

87 87 Q24_4 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Medical journals

88 88 Q24_5 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Government PSA’s/website


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89 89 Q24_6 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?CDC

90 90 Q24_7 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Friends and family

91 91 Q24_8 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Doctors and nurses

92 92 Q24_9 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?The White House/President

93 93 Q24_10 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?My governor

94 94 Q24_11 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?My local government

95 95 Q24_12 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirusoutbreak?Chinese President, Xi Jinping

96 96 MED01 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Summary Of Increased

97 97 MED01 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Summary Of Decreased

98 98 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

99 99 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)

100 100 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)

101 101 MED01_3 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Smartphone/tablet

102 102 MED01_4 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Magazines

103 103 MED01_5 Have you increased or decreased your time spent on the following since the COVID19 outbreak, or has it not changed?Books

104 104 MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Summary Of More

105 105 MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Summary Of Less

106 106 MED02 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Summary Of About The Same

107 107 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)

108 108 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)

109 109 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)

110 110 MED02_4 Are you using each of the following more, less, or about the same since the coronavirus outbreak?News apps

111 111 MED02_5 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Podcasts

112 112 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)

113 113 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)

114 114 MED02_8 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Dating apps

115 115 MED02_9 Are you using each of the following more, less, or about the same since the coronavirus outbreak?Games

116 116 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)

117 117 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Too Few


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118 118 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Just Enough

119 119 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Too Many

120 120 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Too Few

121 121 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Just Enough

122 122 MED03 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Summary Of Too Many

123 123 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)

124 124 MED03_2 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Social media (e.g., Facebook, Instagram, Twitter)

125 125 MED03_3 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Virtual meeting sites (e.g., Zoom, Teams)

126 126 MED03_4 How many advertisements do you notice related to COVID19 while using the following apps/platforms?News apps

127 127 MED03_5 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Podcasts

128 128 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)

129 129 MED03_7 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Music apps (e.g., Spotify, iTunes)

130 130 MED03_8 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Dating apps

131 131 MED03_9 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Games

132 132 MED03_10 How many advertisements do you notice related to COVID19 while using the following apps/platforms?Streaming services (e.g., Netflix, Hulu)

133 133 MED04 Do you ever click on the ads you see related to COVID19?134 134 MED05 What is your opinion of companies who create advertisements about COVID-19?135 135 MED06_1 Did you sign up for any of the following streaming-video services in March?

Netflix136 136 MED06_2 Did you sign up for any of the following streaming-video services in March?

Disney+137 137 MED06_3 Did you sign up for any of the following streaming-video services in March?

Hulu138 138 MED06_4 Did you sign up for any of the following streaming-video services in March?

HBO Now139 139 MED06_5 Did you sign up for any of the following streaming-video services in March?

Apple TV+140 140 MED06_6 Did you sign up for any of the following streaming-video services in March?

Amazon Prime video141 141 MED06_7 Did you sign up for any of the following streaming-video services in March?

CBS All Access142 142 MED06_8 Did you sign up for any of the following streaming-video services in March?

ESPN+143 143 MED06_9 Did you sign up for any of the following streaming-video services in March?

YouTube TV144 144 MED06_10 Did you sign up for any of the following streaming-video services in March?

Sling TV145 145 MED08 How many on-demand streaming video services do you currently subscribe to? (This includes services like Netflix, Hulu,

CBS All Access, etc, but excludes live TV services like YouTube TV, Sling, etc)146 146 MED09 How much are you spending monthly on streaming video entertainment for the services mentioned above?147 147 MED10 How much more entertainment programming are you watching than before the coronavirus crisis?148 148 MED11 Are you watching more or less of the following types of programming in your household than you were a month ago?

Summary Of More149 149 MED11 Are you watching more or less of the following types of programming in your household than you were a month ago?

Summary Of Less150 150 MED11 Are you watching more or less of the following types of programming in your household than you were a month ago?

Summary Of No Change151 151 MED11_1 Are you watching more or less of the following types of programming in your household than you were a month ago?

Kids entertainment, cartoons, educational programming


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152 152 MED11_2 Are you watching more or less of the following types of programming in your household than you were a month ago?Old TV shows and movies

153 153 MED11_3 Are you watching more or less of the following types of programming in your household than you were a month ago?New TV shows and movies

154 154 MED11_4 Are you watching more or less of the following types of programming in your household than you were a month ago?TV news

155 155 MED11_5 Are you watching more or less of the following types of programming in your household than you were a month ago?Sports

156 156 MED11_6 Are you watching more or less of the following types of programming in your household than you were a month ago?Documentaries

157 157 MED11_7 Are you watching more or less of the following types of programming in your household than you were a month ago?Comedies

158 158 MED11_8 Are you watching more or less of the following types of programming in your household than you were a month ago?Reality TV shows

159 159 MED12 What type of streaming content do you prefer watching more of since the coronavirus outbreak? Please select all thatapply: Programs/Content that...

160 160 MED13 Are you purchasing/downloading more movies digitally than you were before the pandemic?161 161 MED14 Federal and state governments are working to secure data on the location of millions of Americans to help with their

response to the coronavirus pandemic and help understand how the disease is spreading. They are working with privatecompanies that have this data. The data is "anonymized" so that personal details aren’t being shared. Howcomfortable are you with this use of location data in the interest of fighting the pandemic?

162 162 MED07 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?Summary Of More

163 163 MED07 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?Summary Of Less

164 164 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 Same

165 165 MED07_1 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?Amazon Prime

166 166 MED07_2 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?UberEATS

167 167 MED07_3 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?GrubHub

168 168 MED07_4 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?PostMates

169 169 MED07_5 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?HelloFresh

170 170 MED07_6 Have you been using the following services more, less, or about the same as compared to before the COVID-19 outbreak?DoorDash

171 171 Q25 How satisfied have you been with the way different levels of the government have responded to coronavirus (COVID-19)thus far?Summary Of Satisfied

172 172 Q25_1 How satisfied have you been with the way different levels of the government have responded to coronavirus (COVID-19)thus far?The federal government

173 173 Q25_2 How satisfied have you been with the way different levels of the government have responded to coronavirus (COVID-19)thus far?Your state government

174 174 Q25_3 How satisfied have you been with the way different levels of the government have responded to coronavirus (COVID-19)thus far?Your local government

175 175 Q33 How much do you agree or disagree with the following statement?"The United States Government was adequately prepared for the coronavirus outbreak."

176 176 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?

177 177 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Summary Of Immediately

178 178 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Summary Of 1-30 Days

179 179 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Summary Of 2-3 Months



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182 182 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Summary Of A Year Or Longer

183 183 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Summary Of Never Again

184 184 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Summary Of Not Applicable

185 185 Q33B_1 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Fly on a plane

186 186 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

187 187 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

188 188 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

189 189 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

190 190 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

191 191 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

192 192 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

193 193 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

194 194 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

195 195 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)

196 196 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

197 197 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?

198 198 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Summary Of Immediately

199 199 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Summary Of 1-30 Days




203 203 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Summary Of A Year Or Longer

204 204 Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Summary Of Never Again


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205 205 Q33B_1 Once the government provides information that the spread of the virus is flattening how long will it take you to do eachof the following?Fly on a plane

206 206 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

207 207 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

208 208 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

209 209 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

210 210 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

211 211 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

212 212 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

213 213 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

214 214 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

215 215 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)

216 216 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

217 217 Q41 Who do you blame more for the spread of coronavirus in the United States?218 218 GOV01 Do you think that the government of China was accurate in reporting the impacts of the coronavirus on its country or did

they report on it inaccurately?219 219 GOV02 Do you think the Chinese government is responsible or not responsible for the spread of the corona virus?220 220 Q42 Do you agree with The President characterizing the coronavirus as ’The Chinese Virus’?221 221 GOV03 Do you favor or oppose the tougher trade policies that President Trump enforced against China?222 222 GOV04 Should China be required to pay other countries for the spread of the virus or is that not the responsibility of China?223 223 GOV05 Should president Trump take a tougher position on China, softer position or the same position on China?224 224 GOV06 China is required under the trade agreement to buy $250 billion of American goods. Do you think they will do that or

fail to do that?225 225 GOV07. If China fails to purchase those goods should the us reimpose tough tariffs on them or not?226 226 GOV08 In general do you think American companies should continue to manufacture goods in China or pull back from making goods

there?227 227 GOV09 If it turns out that China has been underreporting cases and deaths due to coronavirus, do you think...?228 228 Q34 How many months will it take for things to return back to normal (e.g., schools and businesses reopen, no social

distancing, etc.)?230 229 Q36A Would you say we are in a global recession due to the coronavirus outbreak?231 230 Q37 How long do you believe it will take for financial markets to recover once the outbreak under control?232 231 Q37A As of this week over 6,000 Americans have died from the coronavirus with over 54,000 deaths worldwide. How many lives do

think will be lost in America due to the coronavirus?233 232 LI01 Which do you think will have a bigger effect on the life of you and your family?234 233 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

235 234 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

236 235 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


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237 236 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

238 237 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

239 238 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

240 239 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

241 240 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

242 241 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

243 242 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

waves gender age income political wave 2 wave 3 …...2020/04/05 · waves gender age income...

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