fielding period: march 14 - july 4, 2020 weighted to the u.s. … · 2020-07-28 · page 3 fielding...

Fielding Period: March 14 - July 4, 2020COVID-19Weighted To The U.S. General Adult Population - Propensity

4 Jul 2020Table 1LN01 How much do you agree or disagree with each of the following statements?

Summary Of Strongly/Somewhat Agree

Base: All Respondents

Waves Gender Age

Wave 2 Wave 3 Wave 4 Wave 5 Wave 6 Wave 7 Wave 8 Wave 9 Wave 10 Wave 11 Wave 12 Wave 13 Wave 14 Wave 15 Wave 16 Wave 17 Wave 18 Wave 19(3/14 (3/17 (3/21 (3/28 (4/3 - (4/11 (4/18 (4/25 (5/1 - (5/8 - (5/15 - (5/27 - (5/29 - (6/6 - (6/13 - (6/18 - (6/26 - (7/2 -

- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+

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

- - - - - - - - - - - - - - - - - 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** -** -** -** -** -** -** -** -** -** -** -** -** -** 1957 933 1024 590 488 464 414Weighted Base

- - - - - - - - - - - - - - - - - 1155 566 589 422 342 230 161- - - - - - - - - - - - - - - - - 59% 61% 58% 72% 70% 49% 39%

WX WX X

I will pay more to buy frombrands who take a standon social issues I careabout.

- - - - - - - - - - - - - - - - - 1050 516 534 337 296 237 180- - - - - - - - - - - - - - - - - 54% 55% 52% 57% 61% 51% 43%

X WX

I will boycott brands thatdon’t stand for issues Icare about.____________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R - S/T - U/V/W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


4 Jul 2020Table 2LN01 How much do you agree or disagree with each of the following statements?

Summary Of Strongly/Somewhat Disagree


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 907 417 490 253 192 227 235- - - - - - - - - - - - - - - - - 46% 45% 48% 43% 39% 49% 57%

V UV

I will boycott brands thatdon’t stand for issues Icare about.

- - - - - - - - - - - - - - - - - 802 367 435 167 146 235 254- - - - - - - - - - - - - - - - - 41% 39% 42% 28% 30% 51% 61%

UV UVW

I will pay more to buyfrom brands who take astand on social issues Icare about.____________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R - S/T - U/V/W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


4 Jul 2020Table 3LN01_1 How much do you agree or disagree with each of the following statements?

I will boycott brands that don’t stand for issues I care about.


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1050 516 534 337 296 237 180- - - - - - - - - - - - - - - - - 54% 55% 52% 57% 61% 51% 43%

X WX

Strongly/Somewhat Agree(Net)

- - - - - - - - - - - - - - - - - 380 211 169 132 123 70 55- - - - - - - - - - - - - - - - - 19% 23% 16% 22% 25% 15% 13%

T WX WX

Strongly agree

- - - - - - - - - - - - - - - - - 670 305 365 205 173 168 125- - - - - - - - - - - - - - - - - 34% 33% 36% 35% 35% 36% 30%

Somewhat agree

- - - - - - - - - - - - - - - - - 907 417 490 253 192 227 235- - - - - - - - - - - - - - - - - 46% 45% 48% 43% 39% 49% 57%

V UV

Strongly/SomewhatDisagree (Net)

- - - - - - - - - - - - - - - - - 562 230 332 159 123 139 141- - - - - - - - - - - - - - - - - 29% 25% 32% 27% 25% 30% 34%

S uV

Somewhat disagree

- - - - - - - - - - - - - - - - - 345 187 158 94 69 88 94- - - - - - - - - - - - - - - - - 18% 20% 15% 16% 14% 19% 23%

t uV

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma

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


4 Jul 2020Table 4LN01_2 How much do you agree or disagree with each of the following statements?

I will pay more to buy from brands who take a stand on social issues I care about.


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1155 566 589 422 342 230 161- - - - - - - - - - - - - - - - - 59% 61% 58% 72% 70% 49% 39%

WX WX X


- - - - - - - - - - - - - - - - - 401 233 168 166 137 64 34- - - - - - - - - - - - - - - - - 20% 25% 16% 28% 28% 14% 8%

T WX WX x

Strongly agree

- - - - - - - - - - - - - - - - - 754 333 421 256 205 166 127- - - - - - - - - - - - - - - - - 39% 36% 41% 43% 42% 36% 31%

s wX X

Somewhat agree

- - - - - - - - - - - - - - - - - 802 367 435 167 146 235 254- - - - - - - - - - - - - - - - - 41% 39% 42% 28% 30% 51% 61%

UV UVW


- - - - - - - - - - - - - - - - - 488 199 288 96 96 149 147- - - - - - - - - - - - - - - - - 25% 21% 28% 16% 20% 32% 35%

S UV UV

Somewhat disagree

- - - - - - - - - - - - - - - - - 314 168 146 72 50 86 107- - - - - - - - - - - - - - - - - 16% 18% 14% 12% 10% 18% 26%

UV UVw

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 5LN02 As you may have heard/read about, many advertisers are boycotting Facebook over its alleged laissez faire (i.e., lenient

or laxed) ad policy that some argue spread hate, division and misinformation. Do you support or oppose the recent social media boycotts?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1264 587 676 386 321 289 268- - - - - - - - - - - - - - - - - 65% 63% 66% 65% 66% 62% 65%

Strongly/SomewhatSupport (Net)

- - - - - - - - - - - - - - - - - 785 343 442 257 201 173 154- - - - - - - - - - - - - - - - - 40% 37% 43% 44% 41% 37% 37%

S

Somewhat support

- - - - - - - - - - - - - - - - - 478 244 234 129 120 116 114- - - - - - - - - - - - - - - - - 24% 26% 23% 22% 25% 25% 27%

Strongly support

- - - - - - - - - - - - - - - - - 693 346 348 204 167 176 147- - - - - - - - - - - - - - - - - 35% 37% 34% 35% 34% 38% 35%

Strongly/SomewhatOppose (Net)

- - - - - - - - - - - - - - - - - 454 192 262 133 103 113 106- - - - - - - - - - - - - - - - - 23% 21% 26% 22% 21% 24% 26%

s

Somewhat oppose

- - - - - - - - - - - - - - - - - 239 154 86 71 64 63 41- - - - - - - - - - - - - - - - - 12% 16% 8% 12% 13% 14% 10%

T

Strongly oppose

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 6LN03 Which of the following two companies would you be more likely to view favorably?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1274 572 702 364 274 330 306- - - - - - - - - - - - - - - - - 65% 61% 69% 62% 56% 71% 74%

S UV UV

A company/brand thatboycotts social media overad policies that spreaddiscrimination, hate,division andmisinformation

- - - - - - - - - - - - - - - - - 683 362 322 226 214 135 109- - - - - - - - - - - - - - - - - 35% 39% 31% 38% 44% 29% 26%

T WX WX

A company/brand thatstays silent and continuesto advertise on socialmedia regardless of adpolicies that spreaddiscrimination, hate,division andmisinformation

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 7LN04 Are you more or less likely to currently buy from a brand/company that has taken part in the recent social media boycotts?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1226 586 640 390 301 283 253- - - - - - - - - - - - - - - - - 63% 63% 63% 66% 62% 61% 61%

Much/Somewhat MoreLikely (Net)

- - - - - - - - - - - - - - - - - 375 210 165 133 123 73 46- - - - - - - - - - - - - - - - - 19% 22% 16% 22% 25% 16% 11%

T WX WX

Much more likely

- - - - - - - - - - - - - - - - - 851 376 475 258 177 210 206- - - - - - - - - - - - - - - - - 43% 40% 46% 44% 36% 45% 50%

S v V V

Somewhat more likely

- - - - - - - - - - - - - - - - - 731 348 383 200 188 182 162- - - - - - - - - - - - - - - - - 37% 37% 37% 34% 38% 39% 39%

Much/Somewhat LessLikely (Net)

- - - - - - - - - - - - - - - - - 491 212 280 134 131 118 109- - - - - - - - - - - - - - - - - 25% 23% 27% 23% 27% 25% 26%

s

Somewhat less likely

- - - - - - - - - - - - - - - - - 240 136 104 66 57 64 53- - - - - - - - - - - - - - - - - 12% 15% 10% 11% 12% 14% 13%

T

Much less likely

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 8LN05 How much do you agree or disagree with each of the following statements in regards to the social media boycotts?



Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1473 684 788 433 376 346 317- - - - - - - - - - - - - - - - - 75% 73% 77% 74% 77% 74% 77%

While social mediaboycotts might not lastlong, at least it putspressure on techcompanies to makechanges.

- - - - - - - - - - - - - - - - - 1470 685 785 453 381 343 293- - - - - - - - - - - - - - - - - 75% 73% 77% 77% 78% 74% 71%

x

Marketers and brandsshould play a bigger role inaddressing our brokenmedia ecosystem

- - - - - - - - - - - - - - - - - 1358 663 695 410 351 328 269- - - - - - - - - - - - - - - - - 69% 71% 68% 69% 72% 71% 65%

The demands fromcompanies remain vagueand are sometimes alreadya part of Facebook policy

- - - - - - - - - - - - - - - - - 1154 585 569 331 337 264 222- - - - - - - - - - - - - - - - - 59% 63% 56% 56% 69% 57% 54%

T UWX

Advertisers may barelymake a dent in Facebook’srevenues, this is merely aPR stunt____________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R - S/T - U/V/W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


4 Jul 2020Table 9LN05 How much do you agree or disagree with each of the following statements in regards to the social media boycotts?



Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 803 348 455 259 152 201 192- - - - - - - - - - - - - - - - - 41% 37% 44% 44% 31% 43% 46%

S V V V

Advertisers may barelymake a dent inFacebook’s revenues, thisis merely a PR stunt

- - - - - - - - - - - - - - - - - 599 271 329 180 138 136 146- - - - - - - - - - - - - - - - - 31% 29% 32% 31% 28% 29% 35%

The demands fromcompanies remain vagueand are sometimes alreadya part of Facebook policy

- - - - - - - - - - - - - - - - - 487 248 239 137 107 122 121- - - - - - - - - - - - - - - - - 25% 27% 23% 23% 22% 26% 29%

v

Marketers and brandsshould play a bigger role inaddressing our brokenmedia ecosystem

- - - - - - - - - - - - - - - - - 484 249 235 156 112 119 97- - - - - - - - - - - - - - - - - 25% 27% 23% 26% 23% 26% 23%

While social mediaboycotts might not lastlong, at least it putspressure on techcompanies to makechanges.____________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R - S/T - U/V/W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


4 Jul 2020Table 10LN05_1 How much do you agree or disagree with each of the following statements in regards to the social media boycotts?

The demands from companies remain vague and are sometimes already a part of Facebook policy


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1358 663 695 410 351 328 269- - - - - - - - - - - - - - - - - 69% 71% 68% 69% 72% 71% 65%


- - - - - - - - - - - - - - - - - 317 209 108 103 112 56 46- - - - - - - - - - - - - - - - - 16% 22% 11% 17% 23% 12% 11%

T wx uWX

Strongly agree

- - - - - - - - - - - - - - - - - 1041 453 587 307 238 272 223- - - - - - - - - - - - - - - - - 53% 49% 57% 52% 49% 59% 54%

S V

Somewhat agree

- - - - - - - - - - - - - - - - - 599 271 329 180 138 136 146- - - - - - - - - - - - - - - - - 31% 29% 32% 31% 28% 29% 35%


- - - - - - - - - - - - - - - - - 473 206 266 142 101 114 116- - - - - - - - - - - - - - - - - 24% 22% 26% 24% 21% 25% 28%

v

Somewhat disagree

- - - - - - - - - - - - - - - - - 127 64 63 38 37 22 30- - - - - - - - - - - - - - - - - 6% 7% 6% 6% 8% 5% 7%

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Advertisers may barely make a dent in Facebook’s revenues, this is merely a PR stunt


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1154 585 569 331 337 264 222- - - - - - - - - - - - - - - - - 59% 63% 56% 56% 69% 57% 54%

T UWX


- - - - - - - - - - - - - - - - - 343 221 122 93 120 75 56- - - - - - - - - - - - - - - - - 18% 24% 12% 16% 25% 16% 13%

T UWX

Strongly agree

- - - - - - - - - - - - - - - - - 811 364 447 239 216 189 167- - - - - - - - - - - - - - - - - 41% 39% 44% 40% 44% 41% 40%

Somewhat agree

- - - - - - - - - - - - - - - - - 803 348 455 259 152 201 192- - - - - - - - - - - - - - - - - 41% 37% 44% 44% 31% 43% 46%

S V V V


- - - - - - - - - - - - - - - - - 571 247 323 181 119 148 123- - - - - - - - - - - - - - - - - 29% 26% 32% 31% 24% 32% 30%

s v v

Somewhat disagree

- - - - - - - - - - - - - - - - - 233 101 132 78 33 53 70- - - - - - - - - - - - - - - - - 12% 11% 13% 13% 7% 11% 17%

V v V

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Marketers and brands should play a bigger role in addressing our broken media ecosystem


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1470 685 785 453 381 343 293- - - - - - - - - - - - - - - - - 75% 73% 77% 77% 78% 74% 71%

x


- - - - - - - - - - - - - - - - - 540 271 269 191 159 108 82- - - - - - - - - - - - - - - - - 28% 29% 26% 32% 33% 23% 20%

WX WX

Strongly agree

- - - - - - - - - - - - - - - - - 930 414 516 262 222 235 211- - - - - - - - - - - - - - - - - 48% 44% 50% 44% 45% 50% 51%

s

Somewhat agree

- - - - - - - - - - - - - - - - - 487 248 239 137 107 122 121- - - - - - - - - - - - - - - - - 25% 27% 23% 23% 22% 26% 29%

v


- - - - - - - - - - - - - - - - - 308 136 172 89 73 73 74- - - - - - - - - - - - - - - - - 16% 15% 17% 15% 15% 16% 18%

Somewhat disagree

- - - - - - - - - - - - - - - - - 179 112 68 48 34 49 47- - - - - - - - - - - - - - - - - 9% 12% 7% 8% 7% 11% 11%

T

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




While social media boycotts might not last long, at least it puts pressure on tech companies to make changes.


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1473 684 788 433 376 346 317- - - - - - - - - - - - - - - - - 75% 73% 77% 74% 77% 74% 77%


- - - - - - - - - - - - - - - - - 546 287 259 180 154 106 104- - - - - - - - - - - - - - - - - 28% 31% 25% 31% 32% 23% 25%

t W W

Strongly agree

- - - - - - - - - - - - - - - - - 927 398 529 253 222 240 213- - - - - - - - - - - - - - - - - 47% 43% 52% 43% 45% 52% 51%

S U u

Somewhat agree

- - - - - - - - - - - - - - - - - 484 249 235 156 112 119 97- - - - - - - - - - - - - - - - - 25% 27% 23% 26% 23% 26% 23%


- - - - - - - - - - - - - - - - - 345 169 176 114 74 90 68- - - - - - - - - - - - - - - - - 18% 18% 17% 19% 15% 19% 16%

Somewhat disagree

- - - - - - - - - - - - - - - - - 139 80 59 42 38 29 30- - - - - - - - - - - - - - - - - 7% 9% 6% 7% 8% 6% 7%

t

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 14GU01 Have you participated in any of the following public activism recently? Please select all that apply.


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 394 221 172 200 114 49 32- - - - - - - - - - - - - - - - - 20% 24% 17% 34% 23% 10% 8%

T VWX WX

Social media activism

- - - - - - - - - - - - - - - - - 374 167 206 175 71 85 42- - - - - - - - - - - - - - - - - 19% 18% 20% 30% 15% 18% 10%

VWX X

Petitions

- - - - - - - - - - - - - - - - - 245 138 107 125 66 33 22- - - - - - - - - - - - - - - - - 13% 15% 10% 21% 14% 7% 5%

T VWX WX

Fundraising

- - - - - - - - - - - - - - - - - 228 136 92 125 62 25 16- - - - - - - - - - - - - - - - - 12% 15% 9% 21% 13% 5% 4%

T VWX WX

Protests/boycotts/demonstrations

- - - - - - - - - - - - - - - - - 190 133 56 73 80 13 23- - - - - - - - - - - - - - - - - 10% 14% 5% 12% 16% 3% 5%

T WX WX

Political campaigning

- - - - - - - - - - - - - - - - - 168 108 60 76 46 27 18- - - - - - - - - - - - - - - - - 9% 12% 6% 13% 9% 6% 4%

T WX X

Community buildingactivities

- - - - - - - - - - - - - - - - - 153 78 75 75 46 13 19- - - - - - - - - - - - - - - - - 8% 8% 7% 13% 10% 3% 5%

WX WX

Advocacy efforts

- - - - - - - - - - - - - - - - - 112 72 40 56 31 20 5- - - - - - - - - - - - - - - - - 6% 8% 4% 10% 6% 4% 1%

T WX X x

Lobbying efforts

- - - - - - - - - - - - - - - - - 1142 497 646 219 258 337 328- - - - - - - - - - - - - - - - - 58% 53% 63% 37% 53% 73% 79%

S U UV UV

None of the above

- - - - - - - - - - - - - - - - - 3005 1550 1455 1124 775 601 505- - - - - - - - - - - - - - - - - 154% 166% 142% 191% 159% 129% 122%

Sigma



4 Jul 2020Table 15GU02 Are you registered to vote?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1676 806 871 450 421 422 383- - - - - - - - - - - - - - - - - 86% 86% 85% 76% 86% 91% 92%

U Uv UV

Yes

- - - - - - - - - - - - - - - - - 281 128 153 140 67 42 32- - - - - - - - - - - - - - - - - 14% 14% 15% 24% 14% 9% 8%

VWX wX

No

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 16GU03 Will you be voting in the 2020 election?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1676 834 843 456 418 421 381- - - - - - - - - - - - - - - - - 86% 89% 82% 77% 86% 91% 92%

T U Uv UV

Yes

- - - - - - - - - - - - - - - - - 281 100 181 134 70 43 33- - - - - - - - - - - - - - - - - 14% 11% 18% 23% 14% 9% 8%

S VWX wX

No

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 17GU04 How important is voting to you?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1748 855 894 480 434 436 398- - - - - - - - - - - - - - - - - 89% 92% 87% 81% 89% 94% 96%

T U UV UV

Very/Somewhat Important(Net)

- - - - - - - - - - - - - - - - - 1395 682 713 328 338 375 353- - - - - - - - - - - - - - - - - 71% 73% 70% 56% 69% 81% 85%

U UV UV

Very important

- - - - - - - - - - - - - - - - - 354 172 181 152 96 60 45- - - - - - - - - - - - - - - - - 18% 18% 18% 26% 20% 13% 11%

vWX WX

Somewhat important

- - - - - - - - - - - - - - - - - 209 79 130 110 54 29 16- - - - - - - - - - - - - - - - - 11% 8% 13% 19% 11% 6% 4%

S VWX WX

Not At All/Not VeryImportant (Net)

- - - - - - - - - - - - - - - - - 122 44 79 70 28 18 7- - - - - - - - - - - - - - - - - 6% 5% 8% 12% 6% 4% 2%

S VWX X

Not very important

- - - - - - - - - - - - - - - - - 86 35 51 40 26 11 9- - - - - - - - - - - - - - - - - 4% 4% 5% 7% 5% 2% 2%

WX wx

Not at all important

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 18GU06 Are you encouraging your peers to vote?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1558 776 782 437 405 375 341- - - - - - - - - - - - - - - - - 80% 83% 76% 74% 83% 81% 82%

T U u U

Yes

- - - - - - - - - - - - - - - - - 399 157 242 153 84 90 73- - - - - - - - - - - - - - - - - 20% 17% 24% 26% 17% 19% 18%

S VwX

No

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 19GU07 How important do you think it is to ...

Summary Of Very/Somewhat Important


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1680 788 892 486 411 421 362- - - - - - - - - - - - - - - - - 86% 84% 87% 82% 84% 91% 87%

UV

have femalerepresentation inleadership roles

- - - - - - - - - - - - - - - - - 1539 723 816 483 379 372 305- - - - - - - - - - - - - - - - - 79% 78% 80% 82% 78% 80% 73%

X

have youth representationin decision making roles



4 Jul 2020Table 20GU07 How important do you think it is to ...

Summary Of Not At All/Not Very Important


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 418 210 208 106 109 92 110- - - - - - - - - - - - - - - - - 21% 22% 20% 18% 22% 20% 27%

U

have youth representationin decision making roles

- - - - - - - - - - - - - - - - - 277 146 131 104 77 43 53- - - - - - - - - - - - - - - - - 14% 16% 13% 18% 16% 9% 13%

W W

have female representationin leadership roles



4 Jul 2020Table 21GU07_1 How important do you think it is to ...

have youth representation in decision making roles


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1539 723 816 483 379 372 305- - - - - - - - - - - - - - - - - 79% 78% 80% 82% 78% 80% 73%

X


- - - - - - - - - - - - - - - - - 783 394 389 268 212 164 140- - - - - - - - - - - - - - - - - 40% 42% 38% 45% 43% 35% 34%

WX wX

Very important

- - - - - - - - - - - - - - - - - 756 329 427 215 167 209 165- - - - - - - - - - - - - - - - - 39% 35% 42% 37% 34% 45% 40%

S UV

Somewhat important

- - - - - - - - - - - - - - - - - 418 210 208 106 109 92 110- - - - - - - - - - - - - - - - - 21% 22% 20% 18% 22% 20% 27%

U


- - - - - - - - - - - - - - - - - 263 114 149 68 74 52 69- - - - - - - - - - - - - - - - - 13% 12% 15% 12% 15% 11% 17%

Not very important

- - - - - - - - - - - - - - - - - 155 95 59 38 35 40 41- - - - - - - - - - - - - - - - - 8% 10% 6% 7% 7% 9% 10%

T


- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 22GU07_2 How important do you think it is to ...

have female representation in leadership roles


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1680 788 892 486 411 421 362- - - - - - - - - - - - - - - - - 86% 84% 87% 82% 84% 91% 87%

UV


- - - - - - - - - - - - - - - - - 1006 454 552 308 235 238 225- - - - - - - - - - - - - - - - - 51% 49% 54% 52% 48% 51% 54%

s

Very important

- - - - - - - - - - - - - - - - - 674 334 340 178 176 183 136- - - - - - - - - - - - - - - - - 34% 36% 33% 30% 36% 39% 33%

U

Somewhat important

- - - - - - - - - - - - - - - - - 277 146 131 104 77 43 53- - - - - - - - - - - - - - - - - 14% 16% 13% 18% 16% 9% 13%

W W


- - - - - - - - - - - - - - - - - 189 92 97 79 55 29 26- - - - - - - - - - - - - - - - - 10% 10% 9% 13% 11% 6% 6%

WX Wx

Not very important

- - - - - - - - - - - - - - - - - 88 53 34 25 22 14 27- - - - - - - - - - - - - - - - - 4% 6% 3% 4% 4% 3% 7%

t


- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 23GU08 How much do you agree that the following are the most pressing issues of our time?



Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1677 796 881 514 421 388 353- - - - - - - - - - - - - - - - - 86% 85% 86% 87% 86% 84% 85%

Global health

- - - - - - - - - - - - - - - - - 1565 708 857 492 397 360 316- - - - - - - - - - - - - - - - - 80% 76% 84% 83% 81% 77% 76%

S wx

Racial justice

- - - - - - - - - - - - - - - - - 1527 698 829 494 384 353 295- - - - - - - - - - - - - - - - - 78% 75% 81% 84% 79% 76% 71%

S vWX x

Gender equality

- - - - - - - - - - - - - - - - - 1522 717 806 458 383 361 320- - - - - - - - - - - - - - - - - 78% 77% 79% 78% 79% 78% 77%

Female representation inleadership

- - - - - - - - - - - - - - - - - 1513 710 803 477 386 344 306- - - - - - - - - - - - - - - - - 77% 76% 78% 81% 79% 74% 74%

wx

Climate



4 Jul 2020Table 24GU08 How much do you agree that the following are the most pressing issues of our time?



Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 444 223 221 113 102 120 109- - - - - - - - - - - - - - - - - 23% 24% 22% 19% 21% 26% 26%

u u

Climate

- - - - - - - - - - - - - - - - - 435 216 218 132 105 103 94- - - - - - - - - - - - - - - - - 22% 23% 21% 22% 21% 22% 23%

Female representation inleadership

- - - - - - - - - - - - - - - - - 430 235 195 95 104 111 119- - - - - - - - - - - - - - - - - 22% 25% 19% 16% 21% 24% 29%

T u U Uv

Gender equality

- - - - - - - - - - - - - - - - - 392 225 167 98 91 105 98- - - - - - - - - - - - - - - - - 20% 24% 16% 17% 19% 23% 24%

T u u

Racial justice

- - - - - - - - - - - - - - - - - 280 137 143 76 67 76 61- - - - - - - - - - - - - - - - - 14% 15% 14% 13% 14% 16% 15%

Global health



4 Jul 2020Table 25GU08_1 How much do you agree that the following are the most pressing issues of our time?

Racial justice


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1565 708 857 492 397 360 316- - - - - - - - - - - - - - - - - 80% 76% 84% 83% 81% 77% 76%

S wx


- - - - - - - - - - - - - - - - - 1007 460 547 343 243 229 191- - - - - - - - - - - - - - - - - 51% 49% 53% 58% 50% 49% 46%

VWX

Strongly agree

- - - - - - - - - - - - - - - - - 558 248 310 149 154 131 125- - - - - - - - - - - - - - - - - 29% 27% 30% 25% 31% 28% 30%

u

Somewhat agree

- - - - - - - - - - - - - - - - - 392 225 167 98 91 105 98- - - - - - - - - - - - - - - - - 20% 24% 16% 17% 19% 23% 24%

T u u


- - - - - - - - - - - - - - - - - 232 125 107 68 48 59 57- - - - - - - - - - - - - - - - - 12% 13% 10% 12% 10% 13% 14%

Somewhat disagree

- - - - - - - - - - - - - - - - - 160 100 60 29 44 46 42- - - - - - - - - - - - - - - - - 8% 11% 6% 5% 9% 10% 10%

T U U U

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Global health


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1677 796 881 514 421 388 353- - - - - - - - - - - - - - - - - 86% 85% 86% 87% 86% 84% 85%


- - - - - - - - - - - - - - - - - 1061 514 548 347 260 249 205- - - - - - - - - - - - - - - - - 54% 55% 53% 59% 53% 54% 50%

X

Strongly agree

- - - - - - - - - - - - - - - - - 615 282 333 167 161 140 148- - - - - - - - - - - - - - - - - 31% 30% 33% 28% 33% 30% 36%

u

Somewhat agree

- - - - - - - - - - - - - - - - - 280 137 143 76 67 76 61- - - - - - - - - - - - - - - - - 14% 15% 14% 13% 14% 16% 15%


- - - - - - - - - - - - - - - - - 182 90 92 60 44 53 26- - - - - - - - - - - - - - - - - 9% 10% 9% 10% 9% 11% 6%

x

Somewhat disagree

- - - - - - - - - - - - - - - - - 98 46 52 16 23 23 35- - - - - - - - - - - - - - - - - 5% 5% 5% 3% 5% 5% 8%

U

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Gender equality


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1527 698 829 494 384 353 295- - - - - - - - - - - - - - - - - 78% 75% 81% 84% 79% 76% 71%

S vWX x


- - - - - - - - - - - - - - - - - 864 377 487 284 233 185 162- - - - - - - - - - - - - - - - - 44% 40% 48% 48% 48% 40% 39%

S wx wx

Strongly agree

- - - - - - - - - - - - - - - - - 663 321 342 211 152 168 133- - - - - - - - - - - - - - - - - 34% 34% 33% 36% 31% 36% 32%

Somewhat agree

- - - - - - - - - - - - - - - - - 430 235 195 95 104 111 119- - - - - - - - - - - - - - - - - 22% 25% 19% 16% 21% 24% 29%

T u U Uv


- - - - - - - - - - - - - - - - - 280 162 118 56 66 79 79- - - - - - - - - - - - - - - - - 14% 17% 12% 9% 14% 17% 19%

T u U U

Somewhat disagree

- - - - - - - - - - - - - - - - - 150 73 77 39 38 32 41- - - - - - - - - - - - - - - - - 8% 8% 8% 7% 8% 7% 10%

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Climate


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1513 710 803 477 386 344 306- - - - - - - - - - - - - - - - - 77% 76% 78% 81% 79% 74% 74%

wx


- - - - - - - - - - - - - - - - - 889 431 458 297 230 186 175- - - - - - - - - - - - - - - - - 45% 46% 45% 50% 47% 40% 42%

Wx w

Strongly agree

- - - - - - - - - - - - - - - - - 624 279 345 179 156 158 131- - - - - - - - - - - - - - - - - 32% 30% 34% 30% 32% 34% 31%

Somewhat agree

- - - - - - - - - - - - - - - - - 444 223 221 113 102 120 109- - - - - - - - - - - - - - - - - 23% 24% 22% 19% 21% 26% 26%

u u


- - - - - - - - - - - - - - - - - 269 129 140 85 55 74 55- - - - - - - - - - - - - - - - - 14% 14% 14% 14% 11% 16% 13%

Somewhat disagree

- - - - - - - - - - - - - - - - - 175 93 81 28 47 46 54- - - - - - - - - - - - - - - - - 9% 10% 8% 5% 10% 10% 13%

U U U

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Female representation in leadership


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1522 717 806 458 383 361 320- - - - - - - - - - - - - - - - - 78% 77% 79% 78% 79% 78% 77%


- - - - - - - - - - - - - - - - - 768 345 423 255 202 157 154- - - - - - - - - - - - - - - - - 39% 37% 41% 43% 41% 34% 37%

W w

Strongly agree

- - - - - - - - - - - - - - - - - 755 372 383 203 182 204 166- - - - - - - - - - - - - - - - - 39% 40% 37% 34% 37% 44% 40%

U

Somewhat agree

- - - - - - - - - - - - - - - - - 435 216 218 132 105 103 94- - - - - - - - - - - - - - - - - 22% 23% 21% 22% 21% 22% 23%


- - - - - - - - - - - - - - - - - 310 149 161 98 80 73 59- - - - - - - - - - - - - - - - - 16% 16% 16% 17% 16% 16% 14%

Somewhat disagree

- - - - - - - - - - - - - - - - - 124 67 57 34 24 31 35- - - - - - - - - - - - - - - - - 6% 7% 6% 6% 5% 7% 9%

Strongly disagree

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 30AM01 Which of the following products or services of Amazon are you familiar with?

Summary Of At Least Heard The Name


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1899 900 999 571 482 452 395- - - - - - - - - - - - - - - - - 97% 96% 98% 97% 99% 97% 95%

X

Amazon.com

- - - - - - - - - - - - - - - - - 1875 880 995 567 466 446 396- - - - - - - - - - - - - - - - - 96% 94% 97% 96% 95% 96% 96%

S

Amazon Prime

- - - - - - - - - - - - - - - - - 1816 883 933 570 464 435 347- - - - - - - - - - - - - - - - - 93% 95% 91% 97% 95% 94% 84%

T wX X X

Amazon Prime Video

- - - - - - - - - - - - - - - - - 1797 856 941 554 450 431 363- - - - - - - - - - - - - - - - - 92% 92% 92% 94% 92% 93% 87%

X x

Amazon Alexa

- - - - - - - - - - - - - - - - - 1740 845 895 538 461 432 309- - - - - - - - - - - - - - - - - 89% 91% 87% 91% 94% 93% 75%

X X X

Amazon Music

- - - - - - - - - - - - - - - - - 1616 763 853 493 438 385 300- - - - - - - - - - - - - - - - - 83% 82% 83% 84% 90% 83% 72%

X UWX X

Amazon Fire

- - - - - - - - - - - - - - - - - 1371 667 704 426 380 331 234- - - - - - - - - - - - - - - - - 70% 71% 69% 72% 78% 71% 56%

X uwX X

Amazon Fresh

- - - - - - - - - - - - - - - - - 1360 703 657 433 385 316 225- - - - - - - - - - - - - - - - - 69% 75% 64% 73% 79% 68% 54%

T X WX X

Amazon Web Services

- - - - - - - - - - - - - - - - - 1126 603 523 377 347 243 160- - - - - - - - - - - - - - - - - 58% 65% 51% 64% 71% 52% 39%

T WX uWX X

Amazon Go

- - - - - - - - - - - - - - - - - 1077 564 514 368 316 235 158- - - - - - - - - - - - - - - - - 55% 60% 50% 62% 65% 51% 38%

T WX WX X

Amazon Smile



4 Jul 2020Table 31AM01 Which of the following products or services of Amazon are you familiar with?

Summary Of Very/Somewhat Familiar


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1740 824 916 539 450 415 336- - - - - - - - - - - - - - - - - 89% 88% 90% 91% 92% 89% 81%

X X X

Amazon.com

- - - - - - - - - - - - - - - - - 1621 779 842 523 425 381 292- - - - - - - - - - - - - - - - - 83% 83% 82% 89% 87% 82% 70%

WX X X

Amazon Prime

- - - - - - - - - - - - - - - - - 1459 725 734 504 406 345 205- - - - - - - - - - - - - - - - - 75% 78% 72% 85% 83% 74% 49%

T WX WX X

Amazon Prime Video

- - - - - - - - - - - - - - - - - 1401 691 710 477 371 320 232- - - - - - - - - - - - - - - - - 72% 74% 69% 81% 76% 69% 56%

WX wX X

Amazon Alexa

- - - - - - - - - - - - - - - - - 1222 601 621 419 376 275 152- - - - - - - - - - - - - - - - - 62% 64% 61% 71% 77% 59% 37%

WX uWX X

Amazon Music

- - - - - - - - - - - - - - - - - 1119 576 543 364 335 258 162- - - - - - - - - - - - - - - - - 57% 62% 53% 62% 69% 56% 39%

T X uWX X

Amazon Fire

- - - - - - - - - - - - - - - - - 866 478 388 309 300 167 90- - - - - - - - - - - - - - - - - 44% 51% 38% 52% 61% 36% 22%

T WX UWX X

Amazon Web Services

- - - - - - - - - - - - - - - - - 864 467 397 272 300 187 105- - - - - - - - - - - - - - - - - 44% 50% 39% 46% 61% 40% 25%

T X UWX X

Amazon Fresh

- - - - - - - - - - - - - - - - - 692 374 318 223 246 134 89- - - - - - - - - - - - - - - - - 35% 40% 31% 38% 50% 29% 22%

T WX UWX x

Amazon Smile

- - - - - - - - - - - - - - - - - 604 387 217 234 230 91 49- - - - - - - - - - - - - - - - - 31% 41% 21% 40% 47% 20% 12%

T WX uWX X

Amazon Go



4 Jul 2020Table 32AM01_1 Which of the following products or services of Amazon are you familiar with?

Amazon Web Services


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1360 703 657 433 385 316 225- - - - - - - - - - - - - - - - - 69% 75% 64% 73% 79% 68% 54%

T X WX X

At Least Heard The Name(Net)

- - - - - - - - - - - - - - - - - 866 478 388 309 300 167 90- - - - - - - - - - - - - - - - - 44% 51% 38% 52% 61% 36% 22%

T WX UWX X

Very/Somewhat Familiar (Sub-Net)

- - - - - - - - - - - - - - - - - 445 269 176 179 155 75 35- - - - - - - - - - - - - - - - - 23% 29% 17% 30% 32% 16% 8%

T WX WX X

Very familiar

- - - - - - - - - - - - - - - - - 421 208 213 130 144 92 55- - - - - - - - - - - - - - - - - 22% 22% 21% 22% 30% 20% 13%

X UWX x

Somewhat familiar

- - - - - - - - - - - - - - - - - 494 225 269 124 85 150 135- - - - - - - - - - - - - - - - - 25% 24% 26% 21% 17% 32% 32%

UV UV

Only heard the name

- - - - - - - - - - - - - - - - - 597 230 367 156 103 148 190- - - - - - - - - - - - - - - - - 31% 25% 36% 27% 21% 32% 46%

S V UVW

Never heard of it

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Amazon Music


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1740 845 895 538 461 432 309- - - - - - - - - - - - - - - - - 89% 91% 87% 91% 94% 93% 75%

X X X


- - - - - - - - - - - - - - - - - 1222 601 621 419 376 275 152- - - - - - - - - - - - - - - - - 62% 64% 61% 71% 77% 59% 37%

WX uWX X


- - - - - - - - - - - - - - - - - 647 352 295 238 199 144 66- - - - - - - - - - - - - - - - - 33% 38% 29% 40% 41% 31% 16%

T WX WX X

Very familiar

- - - - - - - - - - - - - - - - - 575 249 326 181 177 131 86- - - - - - - - - - - - - - - - - 29% 27% 32% 31% 36% 28% 21%

s X WX x

Somewhat familiar

- - - - - - - - - - - - - - - - - 518 244 274 119 85 157 157- - - - - - - - - - - - - - - - - 26% 26% 27% 20% 18% 34% 38%

UV UV

Only heard the name

- - - - - - - - - - - - - - - - - 217 88 129 52 27 33 105- - - - - - - - - - - - - - - - - 11% 9% 13% 9% 6% 7% 25%

UVW

Never heard of it

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Amazon Go


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1126 603 523 377 347 243 160- - - - - - - - - - - - - - - - - 58% 65% 51% 64% 71% 52% 39%

T WX uWX X


- - - - - - - - - - - - - - - - - 604 387 217 234 230 91 49- - - - - - - - - - - - - - - - - 31% 41% 21% 40% 47% 20% 12%

T WX uWX X


- - - - - - - - - - - - - - - - - 294 206 88 115 126 33 21- - - - - - - - - - - - - - - - - 15% 22% 9% 19% 26% 7% 5%

T WX uWX

Very familiar

- - - - - - - - - - - - - - - - - 310 181 129 120 104 58 29- - - - - - - - - - - - - - - - - 16% 19% 13% 20% 21% 12% 7%

T WX WX x

Somewhat familiar

- - - - - - - - - - - - - - - - - 522 216 306 143 117 152 111- - - - - - - - - - - - - - - - - 27% 23% 30% 24% 24% 33% 27%

S UV

Only heard the name

- - - - - - - - - - - - - - - - - 831 330 501 213 142 222 255- - - - - - - - - - - - - - - - - 42% 35% 49% 36% 29% 48% 61%

S v UV UVW

Never heard of it

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Amazon Fresh


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1371 667 704 426 380 331 234- - - - - - - - - - - - - - - - - 70% 71% 69% 72% 78% 71% 56%

X uwX X


- - - - - - - - - - - - - - - - - 864 467 397 272 300 187 105- - - - - - - - - - - - - - - - - 44% 50% 39% 46% 61% 40% 25%

T X UWX X


- - - - - - - - - - - - - - - - - 363 222 141 122 150 58 34- - - - - - - - - - - - - - - - - 19% 24% 14% 21% 31% 13% 8%

T WX UWX

Very familiar

- - - - - - - - - - - - - - - - - 501 245 256 151 150 129 71- - - - - - - - - - - - - - - - - 26% 26% 25% 26% 31% 28% 17%

X X X

Somewhat familiar

- - - - - - - - - - - - - - - - - 507 199 308 154 80 144 129- - - - - - - - - - - - - - - - - 26% 21% 30% 26% 16% 31% 31%

S V V V

Only heard the name

- - - - - - - - - - - - - - - - - 586 266 319 164 108 134 181- - - - - - - - - - - - - - - - - 30% 29% 31% 28% 22% 29% 44%

v v UVW

Never heard of it

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Amazon Prime


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1875 880 995 567 466 446 396- - - - - - - - - - - - - - - - - 96% 94% 97% 96% 95% 96% 96%

S


- - - - - - - - - - - - - - - - - 1621 779 842 523 425 381 292- - - - - - - - - - - - - - - - - 83% 83% 82% 89% 87% 82% 70%

WX X X


- - - - - - - - - - - - - - - - - 1166 558 608 415 310 252 189- - - - - - - - - - - - - - - - - 60% 60% 59% 70% 64% 54% 46%

vWX WX x

Very familiar

- - - - - - - - - - - - - - - - - 455 220 234 108 114 129 103- - - - - - - - - - - - - - - - - 23% 24% 23% 18% 23% 28% 25%

U u

Somewhat familiar

- - - - - - - - - - - - - - - - - 254 102 152 43 41 65 104- - - - - - - - - - - - - - - - - 13% 11% 15% 7% 8% 14% 25%

s UV UVW

Only heard the name

- - - - - - - - - - - - - - - - - 82 53 29 23 22 19 18- - - - - - - - - - - - - - - - - 4% 6% 3% 4% 5% 4% 4%

T

Never heard of it

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Amazon Fire


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1616 763 853 493 438 385 300- - - - - - - - - - - - - - - - - 83% 82% 83% 84% 90% 83% 72%

X UWX X


- - - - - - - - - - - - - - - - - 1119 576 543 364 335 258 162- - - - - - - - - - - - - - - - - 57% 62% 53% 62% 69% 56% 39%

T X uWX X


- - - - - - - - - - - - - - - - - 579 298 280 198 179 125 76- - - - - - - - - - - - - - - - - 30% 32% 27% 34% 37% 27% 18%

wX WX X

Very familiar

- - - - - - - - - - - - - - - - - 540 277 263 166 156 133 86- - - - - - - - - - - - - - - - - 28% 30% 26% 28% 32% 29% 21%

x X x

Somewhat familiar

- - - - - - - - - - - - - - - - - 497 187 310 129 103 127 138- - - - - - - - - - - - - - - - - 25% 20% 30% 22% 21% 27% 33%

S UV

Only heard the name

- - - - - - - - - - - - - - - - - 341 170 171 97 50 80 115- - - - - - - - - - - - - - - - - 17% 18% 17% 16% 10% 17% 28%

V V UVW

Never heard of it

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Amazon Prime Video


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1816 883 933 570 464 435 347- - - - - - - - - - - - - - - - - 93% 95% 91% 97% 95% 94% 84%

T wX X X


- - - - - - - - - - - - - - - - - 1459 725 734 504 406 345 205- - - - - - - - - - - - - - - - - 75% 78% 72% 85% 83% 74% 49%

T WX WX X


- - - - - - - - - - - - - - - - - 978 489 489 351 293 221 113- - - - - - - - - - - - - - - - - 50% 52% 48% 60% 60% 48% 27%

WX WX X

Very familiar

- - - - - - - - - - - - - - - - - 481 237 245 152 113 124 92- - - - - - - - - - - - - - - - - 25% 25% 24% 26% 23% 27% 22%

Somewhat familiar

- - - - - - - - - - - - - - - - - 356 157 199 66 57 90 143- - - - - - - - - - - - - - - - - 18% 17% 19% 11% 12% 19% 34%

UV UVW

Only heard the name

- - - - - - - - - - - - - - - - - 141 50 91 20 25 30 67- - - - - - - - - - - - - - - - - 7% 5% 9% 3% 5% 6% 16%

S u UVW

Never heard of it

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Amazon Alexa


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1797 856 941 554 450 431 363- - - - - - - - - - - - - - - - - 92% 92% 92% 94% 92% 93% 87%

X x


- - - - - - - - - - - - - - - - - 1401 691 710 477 371 320 232- - - - - - - - - - - - - - - - - 72% 74% 69% 81% 76% 69% 56%

WX wX X


- - - - - - - - - - - - - - - - - 773 395 379 303 212 157 102- - - - - - - - - - - - - - - - - 40% 42% 37% 51% 43% 34% 25%

t VWX WX X

Very familiar

- - - - - - - - - - - - - - - - - 627 296 331 175 159 164 131- - - - - - - - - - - - - - - - - 32% 32% 32% 30% 32% 35% 31%

Somewhat familiar

- - - - - - - - - - - - - - - - - 397 166 231 76 79 111 130- - - - - - - - - - - - - - - - - 20% 18% 23% 13% 16% 24% 31%

s UV UVw

Only heard the name

- - - - - - - - - - - - - - - - - 160 77 83 36 39 33 52- - - - - - - - - - - - - - - - - 8% 8% 8% 6% 8% 7% 13%

Uw

Never heard of it

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Amazon Smile


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1077 564 514 368 316 235 158- - - - - - - - - - - - - - - - - 55% 60% 50% 62% 65% 51% 38%

T WX WX X


- - - - - - - - - - - - - - - - - 692 374 318 223 246 134 89- - - - - - - - - - - - - - - - - 35% 40% 31% 38% 50% 29% 22%

T WX UWX x


- - - - - - - - - - - - - - - - - 354 201 153 107 124 70 52- - - - - - - - - - - - - - - - - 18% 22% 15% 18% 25% 15% 13%

T UWX

Very familiar

- - - - - - - - - - - - - - - - - 338 173 165 116 122 64 37- - - - - - - - - - - - - - - - - 17% 18% 16% 20% 25% 14% 9%

wX uWX

Somewhat familiar

- - - - - - - - - - - - - - - - - 386 190 196 146 71 101 69- - - - - - - - - - - - - - - - - 20% 20% 19% 25% 14% 22% 17%

VX V

Only heard the name

- - - - - - - - - - - - - - - - - 880 370 510 221 172 230 256- - - - - - - - - - - - - - - - - 45% 40% 50% 38% 35% 49% 62%

S UV UVW

Never heard of it

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Amazon.com


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1899 900 999 571 482 452 395- - - - - - - - - - - - - - - - - 97% 96% 98% 97% 99% 97% 95%

X


- - - - - - - - - - - - - - - - - 1740 824 916 539 450 415 336- - - - - - - - - - - - - - - - - 89% 88% 90% 91% 92% 89% 81%

X X X


- - - - - - - - - - - - - - - - - 1413 680 734 468 367 322 256- - - - - - - - - - - - - - - - - 72% 73% 72% 79% 75% 69% 62%

WX X

Very familiar

- - - - - - - - - - - - - - - - - 327 144 183 71 83 93 81- - - - - - - - - - - - - - - - - 17% 15% 18% 12% 17% 20% 19%

u U U

Somewhat familiar

- - - - - - - - - - - - - - - - - 159 76 83 32 32 36 59- - - - - - - - - - - - - - - - - 8% 8% 8% 5% 7% 8% 14%

UVW

Only heard the name

- - - - - - - - - - - - - - - - - 58 33 25 19 6 13 19- - - - - - - - - - - - - - - - - 3% 4% 2% 3% 1% 3% 5%

V

Never heard of it

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 42Q3A Which of the following best describes your response to coronavirus?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- 2019 2023 2016 1993 2013 - - 2039 2030 1961 1996 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base-** 2019 2023 2016 1993 2013 -** -** 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

- 1541 1684 1809 1890 1830 - - 1817 1758 1654 1691 1623 1614 1457 1592 2596 1614 746 869 470 398 380 367- 76% 83% 90% 95% 91% - - 89% 85% 84% 85% 83% 82% 74% 81% 82% 82% 80% 85% 80% 82% 82% 88%

BO BCJKLMNOPQR BCDFIJKLMNOPQR BCJKLMNOPQR BCJKLMNOPQR BmNOPQr BOP BnOPq BO BO BO BO BO S UVw

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

- 478 339 207 103 183 - - 222 308 307 305 342 355 506 370 565 343 188 155 120 90 85 48- 24% 17% 10% 5% 9% - - 11% 15% 16% 15% 17% 18% 26% 19% 18% 18% 20% 15% 20% 18% 18% 12%

CDEFIJKLMNPQR DEFI E E E DEFI DEFI DEFI DEFIj DEFIJl CDEFIJKLMNPQR DEFIJKL DEFIJl DEFIj T X X x

I have been leaving myresidence as I normallywould

- 2019 2023 2016 1993 2013 - - 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 43Q5 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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - 2023 2016 1993 2013 - - - - - - 1965 - - - - 1957 842 1115 609 635 413 300Unweighted Base-** -** 2023 2016 1993 2013 -** -** -** -** -** -** 1965 -** -** -** -** 1957 933 1024 590 488 464 414Weighted Base

- - 1728 1744 1744 1689 - - - - - - 1650 - - - - 1654 764 890 505 380 412 357- - 85% 87% 88% 84% - - - - - - 84% - - - - 84% 82% 87% 86% 78% 89% 86%

fm FMR S V V V

Grocery store

- - 1630 1626 1619 1557 - - - - - - 1539 - - - - 1575 739 836 460 378 397 340- - 81% 81% 81% 77% - - - - - - 78% - - - - 80% 79% 82% 78% 77% 86% 82%

F F Fm f UV

Pharmacy

- - 1338 1299 1323 1329 - - - - - - 1352 - - - - 1396 688 708 432 334 339 291- - 66% 64% 66% 66% - - - - - - 69% - - - - 71% 74% 69% 73% 68% 73% 70%

D CDEF

Hospital/doctor’s office

- - 1355 1265 1144 1168 - - - - - - 1217 - - - - 1353 664 689 426 335 330 261- - 67% 63% 57% 58% - - - - - - 62% - - - - 69% 71% 67% 72% 69% 71% 63%

DEFM EF Ef DEFM X x

Caring for a familymember in anotherhousehold

- - 1070 1111 948 1017 - - - - - - 1160 - - - - 1239 587 652 379 277 326 258- - 53% 55% 48% 51% - - - - - - 59% - - - - 63% 63% 64% 64% 57% 70% 62%

E EF CdEF CDEFM V Vx

Restaurants for carry-out

- - 1288 1220 1106 1107 - - - - - - 1118 - - - - 1237 600 637 386 313 308 229- - 64% 61% 56% 55% - - - - - - 57% - - - - 63% 64% 62% 66% 64% 66% 55%

EFM EFm EFM X x X

Caring for elderly

- - 1177 1071 1009 1023 - - - - - - 1085 - - - - 1225 618 607 409 330 299 186- - 58% 53% 51% 51% - - - - - - 55% - - - - 63% 66% 59% 69% 68% 64% 45%

DEF EF CDEFM T X X X

Caring for children

- - 1220 1165 1077 1037 - - - - - - 1095 - - - - 1207 575 632 380 306 313 209- - 60% 58% 54% 51% - - - - - - 56% - - - - 62% 62% 62% 64% 63% 67% 50%

EFM eF F dEFM X X X

Caring for people withdisabilities

- - 960 986 954 972 - - - - - - 1087 - - - - 1107 544 563 335 271 273 228- - 47% 49% 48% 48% - - - - - - 55% - - - - 57% 58% 55% 57% 56% 59% 55%

CDEF CDEF

Banks

- - 972 1091 944 945 - - - - - - 1093 - - - - 1080 556 524 340 287 254 199- - 48% 54% 47% 47% - - - - - - 56% - - - - 55% 60% 51% 58% 59% 55% 48%

CEF CEF CEF T X X

Daily exercise

- - 235 233 146 183 - - - - - - 392 - - - - 592 344 248 259 179 99 54- - 12% 12% 7% 9% - - - - - - 20% - - - - 30% 37% 24% 44% 37% 21% 13%

EF EF CDEF CDEFM T vWX WX X

Schools

- - 393 328 230 234 - - - - - - 524 - - - - 585 336 249 241 156 115 74- - 19% 16% 12% 12% - - - - - - 27% - - - - 30% 36% 24% 41% 32% 25% 18%

DEF EF CDEF CDEFm T VWX wX x

Visit friends

- - 360 278 197 207 - - - - - - 481 - - - - 539 314 226 205 162 104 68- - 18% 14% 10% 10% - - - - - - 24% - - - - 28% 34% 22% 35% 33% 22% 16%

DEF EF CDEF CDEF T WX WX

Having dinner at a friend’shouse

- - 222 227 132 150 - - - - - - 325 - - - - 418 279 139 177 142 62 37- - 11% 11% 7% 7% - - - - - - 17% - - - - 21% 30% 14% 30% 29% 13% 9%

EF EF CDEF CDEFM T WX WX

Hosting people for dinner

- - 186 185 133 144 - - - - - - 319 - - - - 406 282 124 177 142 59 28- - 9% 9% 7% 7% - - - - - - 16% - - - - 21% 30% 12% 30% 29% 13% 7%

Ef Ef CDEF CDEFM T WX WX X

Going to the gym





Summary Of Would Go Out For


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


-** -** 2023 2016 1993 2013 -** -** -** -** -** -** 1965 -** -** -** -** 1957 933 1024 590 488 464 414Weighted Base____________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R - S/T - U/V/W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing




Summary Of Would Not Go Out For


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - 2023 2016 1993 2013 - - - - - - 1965 - - - - 1957 842 1115 609 635 413 300Unweighted Base-** -** 2023 2016 1993 2013 -** -** -** -** -** -** 1965 -** -** -** -** 1957 933 1024 590 488 464 414Weighted Base

- - 1837 1831 1860 1869 - - - - - - 1646 - - - - 1551 651 900 412 347 405 386- - 91% 91% 93% 93% - - - - - - 84% - - - - 79% 70% 88% 70% 71% 87% 93%

MR MR CDMR cdMR R S UV UVW

Going to the gym

- - 1801 1789 1861 1863 - - - - - - 1640 - - - - 1539 655 885 413 346 403 377- - 89% 89% 93% 93% - - - - - - 83% - - - - 79% 70% 86% 70% 71% 87% 91%

MR MR CDMR CDMR R S UV UV

Hosting people for dinner

- - 1663 1738 1796 1806 - - - - - - 1484 - - - - 1418 619 798 385 326 360 347- - 82% 86% 90% 90% - - - - - - 76% - - - - 72% 66% 78% 65% 67% 78% 84%

MR CMR CDMR CDMR S UV UV

Having dinner at a friend’shouse

- - 1630 1688 1763 1779 - - - - - - 1441 - - - - 1372 597 775 349 332 350 341- - 81% 84% 88% 88% - - - - - - 73% - - - - 70% 64% 76% 59% 68% 75% 82%

MR CMR CDMR CDMR r S U Uv UVw

Visit friends

- - 1788 1783 1847 1830 - - - - - - 1573 - - - - 1365 589 776 330 309 366 360- - 88% 88% 93% 91% - - - - - - 80% - - - - 70% 63% 76% 56% 63% 79% 87%

MR MR CDMR CDMR R S u UV UVW

Schools

- - 1051 925 1049 1068 - - - - - - 872 - - - - 877 377 500 250 201 211 216- - 52% 46% 53% 53% - - - - - - 44% - - - - 45% 40% 49% 42% 41% 45% 52%

DMR DMR DMR S UV

Daily exercise

- - 1063 1030 1039 1041 - - - - - - 878 - - - - 850 389 461 255 217 191 187- - 53% 51% 52% 52% - - - - - - 45% - - - - 43% 42% 45% 43% 44% 41% 45%

MR MR MR MR

Banks

- - 803 851 916 976 - - - - - - 870 - - - - 750 358 392 210 183 152 205- - 40% 42% 46% 49% - - - - - - 44% - - - - 38% 38% 38% 36% 37% 33% 50%

r CdR CDMR CR UVW

Caring for people withdisabilities

- - 846 945 984 990 - - - - - - 880 - - - - 732 315 417 180 158 165 228- - 42% 47% 49% 49% - - - - - - 45% - - - - 37% 34% 41% 31% 32% 36% 55%

R CR CMR CMR R S UVW

Caring for children

- - 735 796 887 906 - - - - - - 847 - - - - 720 333 387 203 176 156 185- - 36% 39% 44% 45% - - - - - - 43% - - - - 37% 36% 38% 34% 36% 34% 45%

CDR CDR CdR UvW

Caring for elderly

- - 953 905 1045 996 - - - - - - 805 - - - - 718 346 372 211 211 139 157- - 47% 45% 52% 49% - - - - - - 41% - - - - 37% 37% 36% 36% 43% 30% 38%

MR mR CDMR DMR R UW w

Restaurants for carry-out

- - 668 751 849 845 - - - - - - 748 - - - - 604 270 335 164 153 134 153- - 33% 37% 43% 42% - - - - - - 38% - - - - 31% 29% 33% 28% 31% 29% 37%

CR CDMR CDmR CR Uw

Caring for a familymember in anotherhousehold

- - 685 717 670 684 - - - - - - 613 - - - - 561 245 316 157 155 125 124- - 34% 36% 34% 34% - - - - - - 31% - - - - 29% 26% 31% 27% 32% 27% 30%

R MR R R

Hospital/doctor’s office

- - 393 390 374 456 - - - - - - 426 - - - - 382 194 188 130 110 67 75- - 19% 19% 19% 23% - - - - - - 22% - - - - 20% 21% 18% 22% 23% 14% 18%

CDEr e W W

Pharmacy

- - 295 272 249 324 - - - - - - 315 - - - - 303 170 134 85 109 52 58- - 15% 13% 12% 16% - - - - - - 16% - - - - 16% 18% 13% 14% 22% 11% 14%

dE dE E T UWX

Grocery store





Summary Of Would Not Go Out For


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


-** -** 2023 2016 1993 2013 -** -** -** -** -** -** 1965 -** -** -** -** 1957 933 1024 590 488 464 414Weighted Base____________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R - S/T - U/V/W/XOverlap formulae used. ** very small base (under 30) ineligible for sig testing


4 Jul 2020Table 45EMP02 How concerned are you that you may lose your job due to the coronavirus outbreak?

Base: Employed

Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - 1198 1161 1147 1149 1207 1190 1173 1130 1103 1068 1141 1082 1147 1807 1269 662 607 426 540 241 62Unweighted Base-** -** -** 1242 1173 1152 1138 1235 1184 1221 1096 1069 1076 1089 1115 1145 1827 1128 620 508 398 386 256 87*Weighted Base

- - - 692 701 638 594 630 645 659 567 541 515 590 556 583 961 654 404 250 243 260 114 37- - - 56% 60% 55% 52% 51% 55% 54% 52% 51% 48% 54% 50% 51% 53% 58% 65% 49% 61% 67% 44% 43%

hlMOp fGHIJKLMNOPQ hlMOp Mo M M m GHKLMOPQ T WX WX

Very/SomewhatConcerned (Net)

- - - 347 383 333 292 284 300 283 234 207 226 275 205 272 455 354 236 119 116 157 66 16- - - 28% 33% 29% 26% 23% 25% 23% 21% 19% 21% 25% 18% 24% 25% 31% 38% 23% 29% 41% 26% 18%

HJKLMOp dGHIJKLMNOPQ HJKLMOPq kLMO lO kLmO lO kLmO LO LmO GHIJKLMNOPQ T UWX

Very concerned

- - - 344 318 305 302 346 345 376 333 334 289 315 351 311 506 300 169 132 128 104 47 22- - - 28% 27% 26% 27% 28% 29% 31% 30% 31% 27% 29% 31% 27% 28% 27% 27% 26% 32% 27% 18% 25%

fgr eFGmpr eFGmpqR W w

Somewhat concerned

- - - 551 471 514 544 604 539 563 529 528 560 499 559 562 866 474 216 258 155 126 143 50- - - 44% 40% 45% 48% 49% 45% 46% 48% 49% 52% 46% 50% 49% 47% 42% 35% 51% 39% 33% 56% 57%

e ER dEfR E E ER dEfR DEFIJNqR E DEFiR dEfR ER S UV UV

Not At All/Not VeryConcerned (Net)

- - - 258 221 263 256 275 271 302 247 245 263 224 274 249 425 228 112 116 82 60 73 12- - - 21% 19% 23% 22% 22% 23% 25% 23% 23% 24% 21% 25% 22% 23% 20% 18% 23% 21% 16% 29% 14%

e e e e dEnR e e Enr dEnr E uVx

Not very concerned

- - - 293 251 251 288 329 267 261 282 283 297 275 285 313 441 246 104 142 72 66 69 38- - - 24% 21% 22% 25% 27% 23% 21% 26% 26% 28% 25% 26% 27% 24% 22% 17% 28% 18% 17% 27% 43%

ej EFiJR efjr EFiJR dEFIJR ej efj EFIJR S UV UVw

Not at all concerned

- - - 1242 1173 1152 1138 1235 1184 1221 1096 1069 1076 1089 1115 1145 1827 1128 620 508 398 386 256 87- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma

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


4 Jul 2020Table 46Q9 Do you think your income in 2020 will be lower, higher or about the same as it was in 2019?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - 2016 1993 2013 2029 - - - - - 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base-** -** -** 2016 1993 2013 2029 -** -** -** -** -** 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

- - - 864 816 895 921 - - - - - 909 895 946 976 1561 870 369 501 202 186 227 255- - - 43% 41% 44% 45% - - - - - 46% 45% 48% 50% 49% 44% 40% 49% 34% 38% 49% 62%

e E dE E DEfr DEFGmNR DEFGNR e S UV UVW

About the same

- - - 791 862 826 726 - - - - - 625 676 572 571 1094 697 335 362 217 185 177 117- - - 39% 43% 41% 36% - - - - - 32% 34% 29% 29% 35% 36% 36% 35% 37% 38% 38% 28%

gMNOPQr DGMNOPQR GMNOPQR MOP OP OP mOP x X X

Lower

- - - 362 315 291 382 - - - - - 431 398 444 416 506 390 228 161 170 117 61 42- - - 18% 16% 14% 19% - - - - - 22% 20% 23% 21% 16% 20% 24% 16% 29% 24% 13% 10%

F EFQ DEFgQ EFQ DEFGQ DEFQ EFQ T WX WX

Higher

- - - 2016 1993 2013 2029 - - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - 100% 100% 100% 100% - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 47EMP05 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Summary Of Yes


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** 1993 2013 2029 2050 -** -** -** -** 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

- - - - 946 935 767 813 - - - - 790 698 519 692 1095 717 378 339 237 194 161 125- - - - 47% 46% 38% 40% - - - - 40% 35% 26% 35% 35% 37% 40% 33% 40% 40% 35% 30%

GHMNOPQR GHMNOPQR Oq NOPQ NOPQr O O O O T X X

I have been impactedfinancially in some otherway

- - - - 752 774 665 688 - - - - 633 654 523 605 1006 628 327 301 231 193 130 74- - - - 38% 38% 33% 34% - - - - 32% 33% 27% 31% 32% 32% 35% 29% 39% 40% 28% 18%

GHMNOPQR GHMNOPQR O O O O O O O t WX WX X

Sought out new oradditional sources ofincome

- - - - 762 771 627 632 - - - - 651 668 498 570 1002 623 292 332 232 171 139 81- - - - 38% 38% 31% 31% - - - - 33% 34% 25% 29% 32% 32% 31% 32% 39% 35% 30% 19%

GHMNOPQR GHMNOPQR O O OP ghOP O O O WX X X

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

- - - - 831 626 621 651 - - - - 602 595 524 570 989 581 284 297 196 151 139 95- - - - 42% 31% 31% 32% - - - - 31% 30% 27% 29% 31% 30% 30% 29% 33% 31% 30% 23%

FGHMNOPQR O O O O o O X x

Lost income partially

- - - - 560 581 599 580 - - - - 613 537 470 523 947 569 301 268 195 182 115 77- - - - 28% 29% 30% 28% - - - - 31% 27% 24% 27% 30% 29% 32% 26% 33% 37% 25% 19%

O O O O eNOP o Op O T WX WX

Provided financial supportfor a family member

- - - - 649 586 526 530 - - - - 573 564 413 511 868 522 265 257 166 154 135 67- - - - 33% 29% 26% 26% - - - - 29% 29% 21% 26% 27% 27% 28% 25% 28% 32% 29% 16%

fGHmNOPQR ghOp O O ghOp O O O O X X X

Stopped or cut back onretirement savings

- - - - 537 537 499 515 - - - - 474 485 376 441 822 484 274 211 162 162 107 53- - - - 27% 27% 25% 25% - - - - 24% 25% 19% 22% 26% 25% 29% 21% 28% 33% 23% 13%

OP OP O O O O O OP O T X WX X

Accumulated more debtthan normal

- - - - 543 488 466 503 - - - - 429 434 355 399 665 409 214 194 158 159 76 16- - - - 27% 24% 23% 25% - - - - 22% 22% 18% 20% 21% 21% 23% 19% 27% 33% 16% 4%

fGMNOPQR OPQr O OPQR O O O o WX WX X

Missed (or will soon miss)a bill payment

- - - - 383 360 372 407 - - - - 451 391 343 380 650 379 237 142 157 137 59 26- - - - 19% 18% 18% 20% - - - - 23% 20% 17% 19% 21% 19% 25% 14% 27% 28% 13% 6%

EFGhnOPR fO T WX WX X

Provided financial supportfor a friend

- - - - 387 372 343 385 - - - - 313 317 284 303 498 321 191 130 130 132 51 7- - - - 19% 18% 17% 19% - - - - 16% 16% 14% 15% 16% 16% 21% 13% 22% 27% 11% 2%

gMNOPQr mOPq o mnOPQ T WX WX X

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

- - - - 755 805 796 787 - - - - 782 349 364 313 529 281 113 168 43 44 94 99- - - - 38% 40% 39% 38% - - - - 40% 18% 19% 16% 17% 14% 12% 16% 7% 9% 20% 24%

NOPQR NOPQR NOPQR NOPQR NOPQR R pR S UV UV

I have not been impactedfinancially

- - - - 325 328 322 355 - - - - 349 290 279 298 512 272 171 101 124 100 37 12- - - - 16% 16% 16% 17% - - - - 18% 15% 14% 15% 16% 14% 18% 10% 21% 20% 8% 3%

nOR NOpR T WX WX X

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

- - - - - - - - - - - - - - - - - 220 140 80 88 92 35 5- - - - - - - - - - - - - - - - - 11% 15% 8% 15% 19% 8% 1%

T WX WX X

Lost access to my healthinsurance

- - - - 378 268 227 241 - - - - 213 198 182 197 342 185 111 74 70 67 40 8- - - - 19% 13% 11% 12% - - - - 11% 10% 9% 10% 11% 9% 12% 7% 12% 14% 9% 2%

FGHMNOPQR gmNOPQR Or T X wX X

Lost income entirely



4 Jul 2020Table 48EMP05_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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 387 372 343 385 - - - - 313 317 284 303 498 321 191 130 130 132 51 7- - - - 19% 18% 17% 19% - - - - 16% 16% 14% 15% 16% 16% 21% 13% 22% 27% 11% 2%

gMNOPQr mOPq o mnOPQ T WX WX X

Yes

- - - - 1606 1641 1686 1665 - - - - 1652 1652 1679 1659 2663 1636 742 894 459 356 413 407- - - - 81% 82% 83% 81% - - - - 84% 84% 86% 85% 84% 84% 79% 87% 78% 73% 89% 98%

e Efh Eh EFgH EFH EfH e S UV UVW

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Missed (or will soon miss) a bill payment


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 543 488 466 503 - - - - 429 434 355 399 665 409 214 194 158 159 76 16- - - - 27% 24% 23% 25% - - - - 22% 22% 18% 20% 21% 21% 23% 19% 27% 33% 16% 4%

fGMNOPQR OPQr O OPQR O O O o WX WX X

Yes

- - - - 1450 1525 1563 1547 - - - - 1536 1535 1608 1563 2496 1548 719 830 432 329 389 398- - - - 73% 76% 77% 75% - - - - 78% 78% 82% 80% 79% 79% 77% 81% 73% 67% 84% 96%

e E E E EFGHMNQr EFH EFH EfH UV UVW

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Provided financial support for a family member


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 560 581 599 580 - - - - 613 537 470 523 947 569 301 268 195 182 115 77- - - - 28% 29% 30% 28% - - - - 31% 27% 24% 27% 30% 29% 32% 26% 33% 37% 25% 19%

O O O O eNOP o Op O T WX WX

Yes

- - - - 1433 1432 1430 1470 - - - - 1352 1432 1493 1439 2214 1388 632 756 395 306 349 337- - - - 72% 71% 70% 72% - - - - 69% 73% 76% 73% 70% 71% 68% 74% 67% 63% 75% 81%

m M EFGHMnQR Mq S UV UV

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Provided financial support for a friend


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 383 360 372 407 - - - - 451 391 343 380 650 379 237 142 157 137 59 26- - - - 19% 18% 18% 20% - - - - 23% 20% 17% 19% 21% 19% 25% 14% 27% 28% 13% 6%

EFGhnOPR fO T WX WX X

Yes

- - - - 1610 1653 1657 1643 - - - - 1514 1578 1620 1582 2511 1578 696 882 432 351 405 389- - - - 81% 82% 82% 80% - - - - 77% 80% 83% 81% 79% 81% 75% 86% 73% 72% 87% 94%

M Mq M m m MQ M M S UV UVW

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Sought out new or additional sources of income


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 752 774 665 688 - - - - 633 654 523 605 1006 628 327 301 231 193 130 74- - - - 38% 38% 33% 34% - - - - 32% 33% 27% 31% 32% 32% 35% 29% 39% 40% 28% 18%

GHMNOPQR GHMNOPQR O O O O O O O t WX WX X

Yes

- - - - 1241 1239 1364 1362 - - - - 1332 1315 1440 1357 2155 1329 606 723 359 295 335 340- - - - 62% 62% 67% 66% - - - - 68% 67% 73% 69% 68% 68% 65% 71% 61% 60% 72% 82%

EF EF EF EF EFGHMNPQR EF EF EF s UV UVW

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost income partially


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 831 626 621 651 - - - - 602 595 524 570 989 581 284 297 196 151 139 95- - - - 42% 31% 31% 32% - - - - 31% 30% 27% 29% 31% 30% 30% 29% 33% 31% 30% 23%

FGHMNOPQR O O O O o O X x

Yes

- - - - 1162 1387 1408 1399 - - - - 1363 1374 1439 1392 2172 1376 650 726 393 338 325 320- - - - 58% 69% 69% 68% - - - - 69% 70% 73% 71% 69% 70% 70% 71% 67% 69% 70% 77%

E E E E E EFGHMnQ E E E Uv

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost income entirely


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 378 268 227 241 - - - - 213 198 182 197 342 185 111 74 70 67 40 8- - - - 19% 13% 11% 12% - - - - 11% 10% 9% 10% 11% 9% 12% 7% 12% 14% 9% 2%

FGHMNOPQR gmNOPQR Or T X wX X

Yes

- - - - 1615 1745 1802 1809 - - - - 1752 1771 1781 1765 2819 1772 823 950 520 421 424 407- - - - 81% 87% 89% 88% - - - - 89% 90% 91% 90% 89% 91% 88% 93% 88% 86% 91% 98%

E Ef E Ef EF EFH EF EF EFh S v UVW

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Accumulated more debt than normal


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 537 537 499 515 - - - - 474 485 376 441 822 484 274 211 162 162 107 53- - - - 27% 27% 25% 25% - - - - 24% 25% 19% 22% 26% 25% 29% 21% 28% 33% 23% 13%

OP OP O O O O O OP O T X WX X

Yes

- - - - 1456 1476 1530 1535 - - - - 1491 1484 1587 1521 2339 1473 660 813 428 326 357 362- - - - 73% 73% 75% 75% - - - - 76% 75% 81% 78% 74% 75% 71% 79% 72% 67% 77% 87%

EFGHMNPQR EFQ S V UVW

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Stopped or cut back on retirement savings


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 649 586 526 530 - - - - 573 564 413 511 868 522 265 257 166 154 135 67- - - - 33% 29% 26% 26% - - - - 29% 29% 21% 26% 27% 27% 28% 25% 28% 32% 29% 16%

fGHmNOPQR ghOp O O ghOp O O O O X X X

Yes

- - - - 1344 1427 1503 1520 - - - - 1392 1405 1550 1451 2293 1435 668 767 424 334 329 348- - - - 67% 71% 74% 74% - - - - 71% 71% 79% 74% 73% 73% 72% 75% 72% 68% 71% 84%

e Efm Efm e E EFGHMNPQR Efm E E UVW

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 762 771 627 632 - - - - 651 668 498 570 1002 623 292 332 232 171 139 81- - - - 38% 38% 31% 31% - - - - 33% 34% 25% 29% 32% 32% 31% 32% 39% 35% 30% 19%

GHMNOPQR GHMNOPQR O O OP ghOP O O O WX X X

Yes

- - - - 1231 1242 1402 1418 - - - - 1314 1301 1465 1392 2159 1334 642 692 357 317 325 334- - - - 62% 62% 69% 69% - - - - 67% 66% 75% 71% 68% 68% 69% 68% 61% 65% 70% 81%

EFn EFn EF EF EFGHMNPQR EFMN EF EF U UVW

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 325 328 322 355 - - - - 349 290 279 298 512 272 171 101 124 100 37 12- - - - 16% 16% 16% 17% - - - - 18% 15% 14% 15% 16% 14% 18% 10% 21% 20% 8% 3%

nOR NOpR T WX WX X

Yes

- - - - 1668 1685 1707 1695 - - - - 1616 1679 1684 1664 2649 1685 762 923 465 389 428 403- - - - 84% 84% 84% 83% - - - - 82% 85% 86% 85% 84% 86% 82% 90% 79% 80% 92% 97%

hM HM m HM S UV UVW

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost access to my health insurance


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 220 140 80 88 92 35 5- - - - - - - - - - - - - - - - - 11% 15% 8% 15% 19% 8% 1%

T WX WX X

Yes

- - - - - - - - - - - - - - - - - 1737 793 944 502 397 429 409- - - - - - - - - - - - - - - - - 89% 85% 92% 85% 81% 92% 99%

S UV UVW

No

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma




I have been impacted financially in some other way


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 946 935 767 813 - - - - 790 698 519 692 1095 717 378 339 237 194 161 125- - - - 47% 46% 38% 40% - - - - 40% 35% 26% 35% 35% 37% 40% 33% 40% 40% 35% 30%

GHMNOPQR GHMNOPQR Oq NOPQ NOPQr O O O O T X X

Yes

- - - - 1047 1078 1262 1237 - - - - 1175 1271 1444 1270 2066 1240 555 685 353 294 304 290- - - - 53% 54% 62% 60% - - - - 60% 65% 74% 65% 65% 63% 60% 67% 60% 60% 65% 70%

EF EF EF EFHM EFGHMNPQR EFHM EFgHM EFm S UV

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I have not been impacted financially


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 755 805 796 787 - - - - 782 349 364 313 529 281 113 168 43 44 94 99- - - - 38% 40% 39% 38% - - - - 40% 18% 19% 16% 17% 14% 12% 16% 7% 9% 20% 24%

NOPQR NOPQR NOPQR NOPQR NOPQR R pR S UV UV

Yes

- - - - 1238 1208 1233 1263 - - - - 1183 1620 1599 1649 2632 1676 820 856 547 444 370 315- - - - 62% 60% 61% 62% - - - - 60% 82% 81% 84% 83% 86% 88% 84% 93% 91% 80% 76%

EFGHM EFGHM EFGHMo EFGHM EFGHMNO T WX WX

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 62REV01 Are you planning any major purchases once things return to normal? Please select all that apply.


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - 2016 1993 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base-** -** -** 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

- - - 479 616 567 543 659 679 590 565 728 656 690 527 684 993 756 368 388 234 170 181 171- - - 24% 31% 28% 27% 32% 33% 29% 29% 36% 33% 35% 27% 35% 31% 39% 39% 38% 40% 35% 39% 41%

DGO D d DFGJkO DFGJKO D D DEFGHiJKOQ DFGJKO DEFGJKOQ d DEFGJKOq DfGjO DEFGHIJKMnOpQ

Going on vacation /travelling

- - - 386 533 418 375 549 537 508 486 554 529 582 530 576 872 665 316 349 259 207 125 75- - - 19% 27% 21% 18% 27% 26% 25% 25% 28% 27% 30% 27% 29% 28% 34% 34% 34% 44% 42% 27% 18%

DFG DFG DFG DFG DFG DFGj DFG DFGiJK DFG DFGiJK DFGj DEFGHIJKLMNOPQ WX WX X

Buying new clothes

- - - 338 389 367 339 416 414 396 373 416 448 458 319 380 594 446 222 223 163 141 78 64- - - 17% 19% 18% 17% 20% 20% 19% 19% 21% 23% 23% 16% 19% 19% 23% 24% 22% 28% 29% 17% 15%

dgO DGO DGO o o DfGO DEFGJKOPQ DEFGhiJKOPQ dgO o DeFGJKOpQ WX WX

Buying new householdgoods, furniture orappliances

- - - - - - - - 213 221 331 368 387 413 334 384 618 445 254 191 181 139 78 47- - - - - - - - 10% 11% 17% 18% 20% 21% 17% 20% 20% 23% 27% 19% 31% 28% 17% 11%

DEFGH DEFGH DEFGHIJ DEFGHIJ DEFGHIJko DEFGHIJKO DEFGHIJ DEFGHIJk DEFGHIJko DEFGHIJKLmOpQ T WX WX

Personal electronics (e.g.,phone, tablet, voiceassistant)

- - - 219 320 297 286 315 381 388 324 320 374 351 311 289 505 409 245 164 162 120 67 59- - - 11% 16% 15% 14% 15% 19% 19% 17% 16% 19% 18% 16% 15% 16% 21% 26% 16% 28% 25% 14% 14%

D D D D DeFGHloPq DeFGHloPQ D D DeFGHlOPQ DFGhP D D D DEFGHKLnOPQ T WX WX

Buying a car

- - - 238 326 289 220 382 435 386 317 361 371 360 336 346 548 404 213 190 158 115 71 60- - - 12% 16% 14% 11% 19% 21% 19% 16% 18% 19% 18% 17% 18% 17% 21% 23% 19% 27% 24% 15% 14%

DG dG DFG DEFGhjKLnOPQ DFG DG DFG DFGk DFG DfG DFG DFG DEFGKOpQ t WX WX

Buying gifts for my friends/ family

- - - 237 316 304 234 359 323 301 266 325 306 343 274 297 428 310 186 123 112 87 65 45- - - 12% 16% 15% 12% 18% 16% 15% 14% 16% 16% 17% 14% 15% 14% 16% 20% 12% 19% 18% 14% 11%

DGq DG DfGJKOQ DGq DG DGkoQ DG DGJKOQ g DG DG T X X

Attending a concert orsporting event

- - - 1020 818 891 928 774 727 769 237 224 293 301 281 253 375 290 171 119 119 111 33 26- - - 51% 41% 44% 46% 38% 36% 37% 12% 11% 15% 15% 14% 13% 12% 15% 18% 12% 20% 23% 7% 6%

EFGHIJKLMNOPQR hIJKLMNOPQR HIJKLMNOPQR EHIJKLMNOPQR KLMNOPQR KLMNOPQR KLMNOPQR KLQ KLpQ Lq kLQ T WX WX

Home office suppliesand/or equipment (e.g.,standing desk, computermonitor, headset etc.)

- - - - - - - - - - 224 204 237 282 251 200 318 261 157 103 96 108 47 10- - - - - - - - - - 11% 10% 12% 14% 13% 10% 10% 13% 17% 10% 16% 22% 10% 2%

DEFGHIJ DEFGHIJ DEFGHIJq DEFGHIJKLmPQ DEFGHIJLPQ DEFGHIJ DEFGHIJ DEFGHIJLPQ T WX uWX X

Equipment and/or gear foroutdoor activities/sports(e.g., bike, hiking andcamping gear, sportsequipment)

- - - 74 89 54 58 67 126 156 186 161 156 190 201 194 249 217 126 91 114 64 20 18- - - 4% 4% 3% 3% 3% 6% 8% 10% 8% 8% 10% 10% 10% 8% 11% 14% 9% 19% 13% 4% 4%

FG DeFGH DEFGH DEFGHIj DEFGHi DEFGHi DEFGHIjq DEFGHIJlmQ DEFGHIJmq DEFGHi DEFGHIJLMQ T VWX WX

Buying a house

- - - - - - - - - - 100 112 137 125 96 117 210 130 60 70 43 33 30 24- - - - - - - - - - 5% 6% 7% 6% 5% 6% 7% 7% 6% 7% 7% 7% 6% 6%

DEFGHIJ DEFGHIJ DEFGHIJkO DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJko DEFGHIJo

Other major purchase

- - - - - - - - - - 661 574 593 608 707 605 988 519 235 285 95 106 152 167- - - - - - - - - - 34% 29% 30% 31% 36% 31% 31% 27% 25% 28% 16% 22% 33% 40%

DEFGHIJLmR DEFGHIJ DEFGHIJr DEFGHIJR DEFGHIJLMNPQR DEFGHIJR DEFGHIJR DEFGHIJ u UV UV

Not planning a purchase

- - - 2991 3406 3187 2984 3523 3835 3715 4070 4348 4485 4705 4168 4326 6697 4851 2554 2296 1736 1402 945 767- - - 148% 171% 158% 147% 172% 188% 180% 208% 218% 228% 239% 212% 220% 212% 248% 274% 224% 294% 287% 204% 185%

Sigma



4 Jul 2020Table 63REV01 Are you planning any major purchases once things return to normal? Please select all that apply.

Base: Planning A Major Purchase

Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - 479 616 567 543 659 679 590 565 728 656 690 527 684 993 756 368 388 234 170 181 171- - - 24% 31% 28% 27% 32% 33% 29% 43% 51% 48% 51% 42% 50% 46% 53% 53% 53% 47% 45% 58% 69%

DG D d DFGJ DFGJ D DEFGHIJ DEFGHIJKOQ DEFGHIJkO DEFGHIJKOQ DEFGHIJ DEFGHIJKOQ DEFGHIJ DEFGHIJKmOQ UV UVw

Going on vacation /travelling

- - - 386 533 418 375 549 537 508 486 554 529 582 530 576 872 665 316 349 259 207 125 75- - - 19% 27% 21% 18% 27% 26% 25% 37% 39% 39% 43% 42% 42% 40% 46% 45% 47% 52% 54% 40% 30%

DFG DFG DFG DFG DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJKlm DEFGHIJk DEFGHIJK DEFGHIJ DEFGHIJKLMQ WX WX

Buying new clothes

- - - 338 389 367 339 416 414 396 373 416 448 458 319 380 594 446 222 223 163 141 78 64- - - 17% 19% 18% 17% 20% 20% 19% 29% 29% 33% 34% 25% 28% 27% 31% 32% 30% 33% 37% 25% 26%

dg DG DG DEFGHIJ DEFGHIJo DEFGHIJkOPQ DEFGHIJKLOPQ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJOq w WX

Buying new householdgoods, furniture orappliances

- - - - - - - - 213 221 331 368 387 413 334 384 618 445 254 191 181 139 78 47- - - - - - - - 10% 11% 25% 26% 28% 30% 27% 28% 28% 31% 36% 26% 37% 36% 25% 19%

DEFGH DEFGH DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJKLo DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJKLo T WX WX

Personal electronics (e.g.,phone, tablet, voiceassistant)

- - - 219 320 297 286 315 381 388 324 320 374 351 311 289 505 409 245 164 162 120 67 59- - - 11% 16% 15% 14% 15% 19% 19% 25% 23% 27% 26% 25% 21% 23% 28% 35% 22% 33% 32% 21% 24%

D D D D DeFGH DeFGH DEFGHIJp DEFGHIJ DEFGHIJLPQ DEFGHIJP DEFGHIJp DEFGH DEFGHIJ DEFGHIJLoPQ T Wx W

Buying a car

- - - 238 326 289 220 382 435 386 317 361 371 360 336 346 548 404 213 190 158 115 71 60- - - 12% 16% 14% 11% 19% 21% 19% 24% 25% 27% 26% 27% 26% 25% 28% 31% 26% 32% 30% 23% 24%

DG dG DFG DEFGhj DFG DEFGHJ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ W w

Buying gifts for my friends/ family

- - - 237 316 304 234 359 323 301 266 325 306 343 274 297 428 310 186 123 112 87 65 45- - - 12% 16% 15% 12% 18% 16% 15% 20% 23% 22% 25% 22% 22% 20% 22% 27% 17% 23% 23% 21% 18%

DG DG DfGJ DG DG DEFGIJ DEFGHIJq DEFGHIJ DEFGHIJKoQr DEFGHIJ DEFGHIJ DEFGIJ DEFGHIJ T

Attending a concert orsporting event

- - - 1020 818 891 928 774 727 769 237 224 293 301 281 253 375 290 171 119 119 111 33 26- - - 51% 41% 44% 46% 38% 36% 37% 18% 16% 21% 22% 22% 19% 17% 20% 25% 16% 24% 29% 10% 11%

EFGHIJKLMNOPQR hIJKLMNOPQR HIJKLMNOPQR EHIJKLMNOPQR KLMNOPQR KLMNOPQR KLMNOPQR LQ kLpQ KLpQ L T WX WX

Home office suppliesand/or equipment (e.g.,standing desk, computermonitor, headset etc.)

- - - - - - - - - - 224 204 237 282 251 200 318 261 157 103 96 108 47 10- - - - - - - - - - 17% 14% 17% 21% 20% 15% 15% 18% 23% 14% 19% 28% 15% 4%

DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJkLmPQ DEFGHIJLPQ DEFGHIJ DEFGHIJ DEFGHIJLpQ T X UWX X

Equipment and/or gear foroutdoor activities/sports(e.g., bike, hiking andcamping gear, sportsequipment)

- - - 74 89 54 58 67 126 156 186 161 156 190 201 194 249 217 126 91 114 64 20 18- - - 4% 4% 3% 3% 3% 6% 8% 14% 11% 11% 14% 16% 14% 11% 15% 18% 12% 23% 17% 7% 7%

FG DeFGH DEFGH DEFGHIJlmq DEFGHIJ DEFGHIJ DEFGHIJlq DEFGHIJLMQ DEFGHIJlmq DEFGHIJ DEFGHIJLMQ T vWX WX

Buying a house

- - - - - - - - - - 100 112 137 125 96 117 210 130 60 70 43 33 30 24- - - - - - - - - - 8% 8% 10% 9% 8% 9% 10% 9% 9% 9% 9% 9% 10% 10%

DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ

Other major purchase

- - - 2991 3406 3187 2984 3523 3835 3715 3409 3774 3893 4096 3461 3721 5709 4332 2320 2012 1642 1296 794 600- - - 148% 171% 158% 147% 172% 188% 180% 262% 265% 284% 301% 276% 274% 263% 301% 332% 272% 332% 339% 254% 242%

Sigma



4 Jul 2020Table 64Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Concerned


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


2050 2019 2023 - 1993 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base2050 2019 2023 -** 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

1771 1747 1827 - 1800 1778 1779 1734 1746 1674 1643 1690 1628 1641 1588 1644 2617 1730 817 913 513 420 412 38586% 87% 90% - 90% 88% 88% 85% 86% 81% 84% 85% 83% 83% 81% 84% 83% 88% 88% 89% 87% 86% 89% 93%

JkMNOpQ JkMNOpQ ABGHIJKLMNOPQ ABGHIJKLMNOPQ HIJKLMNOPQ HJKLMNOPQ JO JmOQ jo JO jo HIJKLMNOPQ UV

The health of your olderfriends and relatives

1730 1705 1845 - 1820 1787 1825 1777 1786 1737 1733 1737 1737 1672 1661 1700 2751 1727 814 913 479 426 433 38984% 84% 91% - 91% 89% 90% 87% 88% 84% 88% 87% 88% 85% 85% 87% 87% 88% 87% 89% 81% 87% 93% 94%

ABFHIJKLMNOPQR ABFHIJKLMNOPQR ABJNO ABHiJLNOPQ aj ABJNO ABJNO abJo ABJNO j AbJno ABJNO U UV UV

The American economy

1616 1647 1759 - 1743 1677 1681 1698 1699 1620 1597 1619 1568 1560 1547 1574 2553 1639 750 889 450 408 403 37879% 82% 87% - 87% 83% 83% 83% 83% 78% 81% 81% 80% 79% 79% 80% 81% 84% 80% 87% 76% 83% 87% 91%

aJo ABFGHIJKLMNOPQR ABFGHIJKLMNOPQR AJMNOPq AJmNOp AJmNOp AJMNOPq j j AJlMNOPq S U U UV

The health of the broaderAmerican populace

1330 1336 1523 - 1543 1504 1478 1445 1503 1440 1410 1375 1343 1353 1366 1404 2265 1511 714 797 423 388 354 34665% 66% 75% - 77% 75% 73% 70% 74% 70% 72% 69% 68% 69% 70% 72% 72% 77% 77% 78% 72% 79% 76% 84%

ABHJkLMNOPQ ABGHIJKLMNOPQ ABHJLMNOpq ABjLMNo AB ABhJLMNO Ab ABmn A a A Ab ABm ABmn ABGHiJKLMNOPQ U Uw

Your personal health

- - - - 1494 1469 1412 1401 1416 1388 1341 1329 1234 1285 1280 1283 2065 1404 681 722 452 392 315 245- - - - 75% 73% 70% 68% 69% 67% 68% 67% 63% 65% 65% 65% 65% 72% 73% 71% 77% 80% 68% 59%

GHIJKLMNOPQr gHiJKLMNOPQ lMNOPQ Mnoq MNOPQ M Mq M hJkLMNOPQ WX WX x

Your personal finances



4 Jul 2020Table 65Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Not At All/Not Very Concerned


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 499 544 617 649 623 679 620 667 731 684 683 679 1096 553 252 302 137 96 150 170- - - - 25% 27% 30% 32% 31% 33% 32% 33% 37% 35% 35% 35% 35% 28% 27% 29% 23% 20% 32% 41%

Ef EFr Ef EFR EFr EFgR EFGHIJKLR EFGhIR EFGhIR EFGIR EFGhIkR e UV UVw


720 683 500 - 450 509 551 605 536 626 551 621 622 616 597 558 896 446 219 227 167 100 110 6835% 34% 25% - 23% 25% 27% 30% 26% 30% 28% 31% 32% 31% 30% 28% 28% 23% 23% 22% 28% 21% 24% 16%

CEFGHIJKLmNOPQR CEFGHIjKoPQR ER CEFiR Er CEFgIR cER CEFGIR CEFGIkpqR CEFGIkqR CEFgIR CEfR CEfR VX x


434 372 264 - 250 336 348 352 340 447 364 377 397 409 416 388 608 318 183 135 140 81 62 3621% 18% 13% - 13% 17% 17% 17% 17% 22% 19% 19% 20% 21% 21% 20% 19% 16% 20% 13% 24% 17% 13% 9%

bCEFGHIR CE CE CE CE CE BCEFGHIklR CE CEr CEFghIR CEFGHIR bCEFGHIR CEFghIR CEfir CE T VWX X

The health of the broaderAmerican populace

320 314 178 - 173 226 204 273 253 329 228 259 228 297 302 262 410 230 120 111 111 62 31 2616% 16% 9% - 9% 11% 10% 13% 12% 16% 12% 13% 12% 15% 15% 13% 13% 12% 13% 11% 19% 13% 7% 6%

CEFGhIKlMQR CEFGIKlMqR CE CEG CEg CEFGhIKLMpQR CE CEG CE CEFGIKMqR CEFGIKlMqR CEG CEG CE VWX WX


279 272 196 - 193 235 250 316 293 392 318 306 337 328 375 318 544 227 116 110 77 68 52 3014% 13% 10% - 10% 12% 12% 15% 14% 19% 16% 15% 17% 17% 19% 16% 17% 12% 12% 11% 13% 14% 11% 7%CE CE CE CEFGR CEFR ABCEFGHIkLpR abCEFGR CEFGR ABCEFGiR ABCEFGR ABCEFGHIkLpR abCEFGR ABCEFGIR X X

The health of your olderfriends and relatives



4 Jul 2020Table 66Q15_1 How concerned are you about the impact coronavirus (COVID-19) has on the following?



Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



1330 1336 1523 - 1543 1504 1478 1445 1503 1440 1410 1375 1343 1353 1366 1404 2265 1511 714 797 423 388 354 34665% 66% 75% - 77% 75% 73% 70% 74% 70% 72% 69% 68% 69% 70% 72% 72% 77% 77% 78% 72% 79% 76% 84%

ABHJkLMNOPQ ABGHIJKLMNOPQ ABHJLMNOpq ABjLMNo AB ABhJLMNO Ab ABmn A a A Ab ABm ABmn ABGHiJKLMNOPQ U Uw


624 660 800 - 862 801 749 762 770 655 640 663 668 684 658 697 1079 784 365 419 225 233 176 15130% 33% 40% - 43% 40% 37% 37% 38% 32% 33% 33% 34% 35% 34% 36% 34% 40% 39% 41% 38% 48% 38% 36%

ABJKLMNOPQ ABcfGHIJKLMNOPQ ABJKLMNOPQ ABJKLo ABJKLoq ABJKLmOQ a A AJ A ABJKLMNOPQ UWX

Very concerned

706 676 723 - 681 703 728 683 733 785 770 712 674 669 708 707 1185 727 349 378 198 155 178 19634% 33% 36% - 34% 35% 36% 33% 36% 38% 39% 36% 34% 34% 36% 36% 37% 37% 37% 37% 34% 32% 38% 47%

aBEHmN ABcEFgHilMN aBeHmn bh UVw

Somewhat concerned

720 683 500 - 450 509 551 605 536 626 551 621 622 616 597 558 896 446 219 227 167 100 110 6835% 34% 25% - 23% 25% 27% 30% 26% 30% 28% 31% 32% 31% 30% 28% 28% 23% 23% 22% 28% 21% 24% 16%

CEFGHIJKLmNOPQR CEFGHIjKoPQR ER CEFiR Er CEFgIR cER CEFGIR CEFGIkpqR CEFGIkqR CEFgIR CEfR CEfR VX x


535 487 359 - 331 372 383 406 368 442 401 421 418 393 395 374 575 315 149 166 113 76 75 5126% 24% 18% - 17% 18% 19% 20% 18% 21% 20% 21% 21% 20% 20% 19% 18% 16% 16% 16% 19% 16% 16% 12%

CEFGHIJKLMNOPQR CEFGHIKlNOPQR r ER CEfIQR cER CEfiQR CEfIQR ER ER r X

Not very concerned

186 197 141 - 119 137 168 200 168 184 150 200 204 222 202 184 322 130 70 61 54 24 35 179% 10% 7% - 6% 7% 8% 10% 8% 9% 8% 10% 10% 11% 10% 9% 10% 7% 7% 6% 9% 5% 8% 4%

cEFR CEFkR E CEFkR E cEFR CEFKR CEFgiKR aCEFGIJKR CEFgiKR CEFR CEFgiKR VX


2050 2019 2023 - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The health of your older friends and relatives


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



1771 1747 1827 - 1800 1778 1779 1734 1746 1674 1643 1690 1628 1641 1588 1644 2617 1730 817 913 513 420 412 38586% 87% 90% - 90% 88% 88% 85% 86% 81% 84% 85% 83% 83% 81% 84% 83% 88% 88% 89% 87% 86% 89% 93%

JkMNOpQ JkMNOpQ ABGHIJKLMNOPQ ABGHIJKLMNOPQ HIJKLMNOPQ HJKLMNOPQ JO JmOQ jo JO jo HIJKLMNOPQ UV


1034 1089 1251 - 1211 1124 1091 1040 1075 953 955 1021 936 908 864 923 1537 1068 470 598 323 274 264 20750% 54% 62% - 61% 56% 54% 51% 53% 46% 49% 51% 48% 46% 44% 47% 49% 55% 50% 58% 55% 56% 57% 50%

JNOp aJKMNOPQ ABFGHIJKLMNOPQR ABFGHIJKLMNOPQR AHJKLMNOPQ aJKMNOPQ JNOp JKMNOPQ O JmNOP o O AhJKMNOPQ S

Very concerned

737 658 576 - 588 654 687 694 670 721 688 669 692 733 725 720 1080 662 347 316 190 146 149 17836% 33% 28% - 30% 32% 34% 34% 33% 35% 35% 33% 35% 37% 37% 37% 34% 34% 37% 31% 32% 30% 32% 43%

bCEf C C CE CE Ce CE CE CE CE BCEFghILqr BCEFIl BCEFIl CE CE T UVW

Somewhat concerned

279 272 196 - 193 235 250 316 293 392 318 306 337 328 375 318 544 227 116 110 77 68 52 3014% 13% 10% - 10% 12% 12% 15% 14% 19% 16% 15% 17% 17% 19% 16% 17% 12% 12% 11% 13% 14% 11% 7%CE CE CE CEFGR CEFR ABCEFGHIkLpR abCEFGR CEFGR ABCEFGiR ABCEFGR ABCEFGHIkLpR abCEFGR ABCEFGIR X X


183 176 129 - 136 173 167 192 218 269 224 189 233 234 234 201 353 154 83 71 47 55 37 169% 9% 6% - 7% 9% 8% 9% 11% 13% 11% 9% 12% 12% 12% 10% 11% 8% 9% 7% 8% 11% 8% 4%

Ce Ce Ce c CE CEfGR ABCEFGHiLPR ABCEFGR CE ABCEFGHlR ABCEFGHlR ABCEFGHLR CEgr aBCEFGR x X

Not very concerned

96 95 67 - 57 62 84 124 76 123 94 117 104 94 140 118 191 73 33 40 30 14 16 135% 5% 3% - 3% 3% 4% 6% 4% 6% 5% 6% 5% 5% 7% 6% 6% 4% 4% 4% 5% 3% 3% 3%

cEF cEF e CEFGIR CEFGIR cEF CEFGIR CEFir cEF ABCEFGIKmNR CEFGIR CEFGIR


2050 2019 2023 - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The health of the broader American populace


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



1616 1647 1759 - 1743 1677 1681 1698 1699 1620 1597 1619 1568 1560 1547 1574 2553 1639 750 889 450 408 403 37879% 82% 87% - 87% 83% 83% 83% 83% 78% 81% 81% 80% 79% 79% 80% 81% 84% 80% 87% 76% 83% 87% 91%

aJo ABFGHIJKLMNOPQR ABFGHIJKLMNOPQR AJMNOPq AJmNOp AJmNOp AJMNOPq j j AJlMNOPq S U U UV


690 774 998 - 1011 878 808 883 836 762 733 773 755 740 685 799 1244 863 369 494 232 219 228 18434% 38% 49% - 51% 44% 40% 43% 41% 37% 37% 39% 38% 38% 35% 41% 39% 44% 40% 48% 39% 45% 49% 44%

Ao ABFGHIJKLMNOPQR ABFGHIJKLMNOPQR ABgJKLMNOQ AO ABgJKLMNOQ AJknO a a AO Ao A AJkO AO ABGJKLMNOQ S U

Very concerned

926 872 761 - 733 799 873 816 863 858 865 846 813 819 863 775 1309 775 381 395 218 189 174 19445% 43% 38% - 37% 40% 43% 40% 42% 42% 44% 42% 41% 42% 44% 39% 41% 40% 41% 39% 37% 39% 38% 47%

CEFHjmnPQR CEfhpr CEfhpr CE CE CEFHPR CE cE CE CEFHPR CE Uvw

Somewhat concerned

434 372 264 - 250 336 348 352 340 447 364 377 397 409 416 388 608 318 183 135 140 81 62 3621% 18% 13% - 13% 17% 17% 17% 17% 22% 19% 19% 20% 21% 21% 20% 19% 16% 20% 13% 24% 17% 13% 9%

bCEFGHIR CE CE CE CE CE BCEFGHIklR CE CEr CEFghIR CEFGHIR bCEFGHIR CEFghIR CEfir CE T VWX X


314 252 198 - 176 237 257 219 255 318 255 252 293 303 273 273 403 223 121 102 95 64 36 2815% 12% 10% - 9% 12% 13% 11% 12% 15% 13% 13% 15% 15% 14% 14% 13% 11% 13% 10% 16% 13% 8% 7%

BCEFgHIlQR CE E CE CE BCEFGHILQR CEh CE bCEFHiqR BCEFGHILQR CEHr CEHr CEh E WX WX

Not very concerned

120 120 65 - 74 99 91 133 86 129 108 125 103 107 143 115 205 95 62 33 45 17 25 86% 6% 3% - 4% 5% 4% 6% 4% 6% 6% 6% 5% 5% 7% 6% 6% 5% 7% 3% 8% 3% 5% 2%

CEi CEgI C c CEfGIr CEGI CE CEGI Ce CE CEFGIkMnR CEi CEfGIr C T VX x


2050 2019 2023 - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma






Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



1730 1705 1845 - 1820 1787 1825 1777 1786 1737 1733 1737 1737 1672 1661 1700 2751 1727 814 913 479 426 433 38984% 84% 91% - 91% 89% 90% 87% 88% 84% 88% 87% 88% 85% 85% 87% 87% 88% 87% 89% 81% 87% 93% 94%

ABFHIJKLMNOPQR ABFHIJKLMNOPQR ABJNO ABHiJLNOPQ aj ABJNO ABJNO abJo ABJNO j AbJno ABJNO U UV UV


893 986 1287 - 1251 1184 1139 1170 1106 1053 1140 1069 1084 1002 964 1021 1772 1059 487 572 263 266 286 24444% 49% 64% - 63% 59% 56% 57% 54% 51% 58% 54% 55% 51% 49% 52% 56% 54% 52% 56% 45% 54% 62% 59%

A ABFGHIJKLMNOPQR ABFGHIJKLMNOPQR ABIJLmNOPR ABJNOP ABJlNOP ABjnO A ABiJLNOPr ABO ABJNO A A A ABJNOP ABO U U U

Very concerned

836 719 558 - 569 603 685 607 680 684 592 668 653 670 696 679 979 667 327 341 215 160 148 14541% 36% 28% - 29% 30% 34% 30% 33% 33% 30% 33% 33% 34% 35% 35% 31% 34% 35% 33% 37% 33% 32% 35%

BCEFGHIJKLMNOPQR CEFHKQ CEFHk CEfHk CEfh CEfHk CEfh CEFHKq CEFHKQ CEFHKQ C CEFHkq

Somewhat concerned

320 314 178 - 173 226 204 273 253 329 228 259 228 297 302 262 410 230 120 111 111 62 31 2616% 16% 9% - 9% 11% 10% 13% 12% 16% 12% 13% 12% 15% 15% 13% 13% 12% 13% 11% 19% 13% 7% 6%

CEFGhIKlMQR CEFGIKlMqR CE CEG CEg CEFGhIKLMpQR CE CEG CE CEFGIKMqR CEFGIKlMqR CEG CEG CE VWX WX


225 220 99 - 116 170 132 170 183 221 175 171 160 218 203 198 262 157 76 82 75 51 17 1511% 11% 5% - 6% 8% 7% 8% 9% 11% 9% 9% 8% 11% 10% 10% 8% 8% 8% 8% 13% 10% 4% 4%

CEFGHikLMQR CEFGHlMQR CEg c CEg CEG CEfGHlMQR CEG CEG CE CEFGHikLMQR CEGhmqr CEGmqr CEg CE WX WX

Not very concerned

95 94 80 - 57 55 72 103 71 108 53 89 68 80 99 64 149 73 44 29 36 12 14 105% 5% 4% - 3% 3% 4% 5% 3% 5% 3% 4% 3% 4% 5% 3% 5% 4% 5% 3% 6% 2% 3% 3%

EFKp EFKp fk EFgIKmP EFGIKMPr EFK efk EFgIKmP EFiKp Vwx


2050 2019 2023 - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma






Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - 1993 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

- - - - 1494 1469 1412 1401 1416 1388 1341 1329 1234 1285 1280 1283 2065 1404 681 722 452 392 315 245- - - - 75% 73% 70% 68% 69% 67% 68% 67% 63% 65% 65% 65% 65% 72% 73% 71% 77% 80% 68% 59%

GHIJKLMNOPQr gHiJKLMNOPQ lMNOPQ Mnoq MNOPQ M Mq M hJkLMNOPQ WX WX x


- - - - 870 772 678 701 700 669 626 615 617 610 599 627 1005 701 339 363 240 219 159 84- - - - 44% 38% 33% 34% 34% 32% 32% 31% 31% 31% 30% 32% 32% 36% 36% 35% 41% 45% 34% 20%

FGHIJKLMNOPQR GHIJKLMNOPQ lnO lnO jkLMNOpQ X WX X

Very concerned

- - - - 624 697 734 700 716 719 715 714 617 675 681 656 1061 702 343 360 213 173 156 161- - - - 31% 35% 36% 34% 35% 35% 36% 36% 31% 34% 35% 33% 34% 36% 37% 35% 36% 35% 34% 39%

em EM EM em EM EM em EM

Somewhat concerned

- - - - 499 544 617 649 623 679 620 667 731 684 683 679 1096 553 252 302 137 96 150 170- - - - 25% 27% 30% 32% 31% 33% 32% 33% 37% 35% 35% 35% 35% 28% 27% 29% 23% 20% 32% 41%

Ef EFr Ef EFR EFr EFgR EFGHIJKLR EFGhIR EFGhIR EFGIR EFGhIkR e UV UVw


- - - - 354 392 405 411 416 446 417 451 453 425 418 424 665 359 150 209 91 69 88 112- - - - 18% 19% 20% 20% 20% 22% 21% 23% 23% 22% 21% 22% 21% 18% 16% 20% 15% 14% 19% 27%

e Er Er EfgR EFghR Er Er Er Er s UVw

Not very concerned

- - - - 144 152 212 238 207 233 203 216 278 259 265 255 430 194 102 92 47 28 62 57- - - - 7% 8% 10% 12% 10% 11% 10% 11% 14% 13% 13% 13% 14% 10% 11% 9% 8% 6% 13% 14%

EF EF EF EF EF EF EFGhIJKLR EFGIKlR EFGIjKLR EFGIKlR EFGIjKLR EF UV UV


- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 71Q18 Which of the following is true for you?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


2050 2019 2023 2016 1993 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base2050 2019 2023 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

563 572 712 865 1113 950 897 1055 1036 1032 965 962 959 1023 1032 997 1623 1023 480 542 272 255 249 24727% 28% 35% 43% 56% 47% 44% 51% 51% 50% 49% 48% 49% 52% 53% 51% 51% 52% 51% 53% 46% 52% 54% 60%

AB ABC ABCDFGHIJKLMnPQr ABCD ABC ABCDFGl ABCDfG ABCDG ABCDG ABCDG ABCDG ABCDFGl ABCDFGLm ABCDfG ABCDFGl ABCDFGl u U

I fear I could die as aresult of contractingcoronavirus

1487 1447 1311 1151 880 1063 1132 995 1003 1034 996 1034 1006 946 931 965 1538 934 453 481 317 234 216 16773% 72% 65% 57% 44% 53% 56% 49% 49% 50% 51% 52% 51% 48% 47% 49% 49% 48% 49% 47% 54% 48% 46% 40%

CDEFGHIJKLMNOPQR CDEFGHIJKLMNOPQR DEFGHIJKLMNOPQR EFHIJKLMNOPQR EHiNOpQR EHIJKLMNOPQR E E E E EhnOqr Eo e E E e wX

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

2050 2019 2023 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma

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


4 Jul 2020Table 72Q21 Which of the following is closest to your view of people’s reaction to the coronavirus (COVID-19) outbreak?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


2050 2019 2023 2016 1993 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base2050 2019 2023 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

942 1012 1236 1375 1571 1505 1492 1527 1505 1420 1392 1405 1431 1393 1381 1399 2324 1482 669 813 433 327 364 35946% 50% 61% 68% 79% 75% 74% 75% 74% 69% 71% 70% 73% 71% 70% 71% 74% 76% 72% 79% 73% 67% 78% 87%

A AB ABC ABCDFGHIJKLMNOPQr ABCDJKLNOp ABCDJlo ABCDJkLNOp ABCDJlno ABC ABC ABC ABCDJ ABC ABC ABCd ABCDJlno ABCDJKLNOP S v V UVW

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

1108 1007 787 641 422 508 537 523 534 646 569 591 534 576 582 563 837 475 264 211 157 161 101 5654% 50% 39% 32% 21% 25% 26% 25% 26% 31% 29% 30% 27% 29% 30% 29% 26% 24% 28% 21% 27% 33% 22% 13%

BCDEFGHIJKLMNOPQR CDEFGHIJKLMNOPQR DEFGHIJKLMNOPQR EFGHIMpQR E E E E EFGHIMQR EFhR EFgHiqR E EFHiqR EFgHiqR EfhR E e T X uWX X

The amount of fear isirrational, people areoverreacting

2050 2019 2023 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma

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


4 Jul 2020Table 73FR01 Have you felt any of the following recently due to the COVID-19 pandemic?

Summary Of Yes

Base: All Respondents (Variable Bases)

Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - - - - 1549 1581 1484 1505 1345 1428 2431 1470 664 806 389 348 376 357- - - - - - - - - - 79% 79% 76% 76% 69% 73% 77% 75% 71% 79% 66% 71% 81% 86%

MOPR MnOPR O OP O OP O S UV UV

Thankful - for thesacrifices that theAmerican people havemade for coronavirus

- - - - 1549 1507 1468 1561 1529 1437 1449 1532 1385 1430 1346 1391 2354 1419 656 763 383 356 353 328- - - - 78% 75% 72% 76% 75% 70% 74% 77% 70% 73% 69% 71% 74% 73% 70% 75% 65% 73% 76% 79%

fGJKMNOPQR JMOP O GJMNOPR JMOP JmO GJMNOPR jO JMOP O U U U

Appreciative-to be aroundpeople I truly care about

- - - - 1529 1543 1551 1572 1492 1409 1444 1536 1392 1398 1306 1333 2381 1379 604 775 379 347 360 293- - - - 77% 77% 76% 77% 73% 68% 74% 77% 71% 71% 67% 68% 75% 70% 65% 76% 64% 71% 77% 71%

IJkMNOPR IJkMNOPR iJMNOPR IJkMNOPR JOP JOP IJkMNOPR O Op JMNOPR O S u Uv

Compassionate- taking thetime to check in with thepeople I care about

- - - - 1068 1027 1006 1038 994 1003 958 1001 888 971 834 971 1697 1055 517 538 354 287 243 171- - - - 54% 51% 50% 51% 49% 49% 49% 50% 45% 49% 43% 49% 54% 54% 55% 53% 60% 59% 52% 41%

GIJKlMNOP MO MO MO mO mO mO MO MO MO GhIJKlMNOP GIJKlMNOP wX X X

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

- - - - 1076 1044 1118 1133 1124 1098 993 1072 955 981 888 971 1722 989 473 517 306 255 231 198- - - - 54% 52% 55% 55% 55% 53% 51% 54% 49% 50% 45% 50% 54% 51% 51% 50% 52% 52% 50% 48%

MNOP O fKMNOPR fKMNOPR fKMNOPR MnOp O MnOP o O O KMNOPR O

Cabin fever- bored andsick of being in my home

- - - - 972 967 1049 1057 1026 953 958 983 945 988 844 867 1544 966 456 509 347 278 210 131- - - - 49% 48% 52% 52% 50% 46% 49% 49% 48% 50% 43% 44% 49% 49% 49% 50% 59% 57% 45% 32%

OP Op fJmOP fJmOP JOP OP OP Op JOP OP OP WX WX X

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

- - - - 974 964 991 1026 961 943 903 913 791 876 814 835 1509 892 423 468 290 250 191 160- - - - 49% 48% 49% 50% 47% 46% 46% 46% 40% 44% 41% 43% 48% 46% 45% 46% 49% 51% 41% 39%

MNOP MnOP jMNOP JKLMNOPR MOP MO MOp MO M MnOP MO wX WX

Lonely-feeling isolatedfrom my friends/family

- - - - - - - - 506 426 509 435 394 456 455 500 762 445 254 191 132 190 83 39- - - - - - - - 43% 37% 44% 40% 36% 40% 40% 44% 43% 40% 47% 34% 54% 55% 29% 18%

JM JM m JM JM m T WX WX x

Fear- that my kids aremissing out on learning

- - - - 728 723 716 751 705 677 635 678 632 687 619 655 1151 676 370 306 277 237 111 50- - - - 37% 36% 35% 37% 35% 33% 32% 34% 32% 35% 32% 33% 36% 35% 40% 30% 47% 49% 24% 12%

JKMOp jkmO mO JKMOp o JKMOp T WX WX X

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

- - - - 695 660 703 725 709 696 617 584 577 587 572 630 1109 660 338 322 234 201 141 84- - - - 35% 33% 35% 35% 35% 34% 31% 29% 29% 30% 29% 32% 35% 34% 36% 31% 40% 41% 30% 20%

kLMNO lmo kLMNO KLMNOp kLMNO LMNO KLMNOp LMNO WX WX X

Claustrophobic- unable toescape my home

- - - - 649 650 643 695 666 657 617 603 563 646 596 604 1094 634 329 304 270 206 98 60- - - - 33% 32% 32% 34% 33% 32% 31% 30% 29% 33% 30% 31% 35% 32% 35% 30% 46% 42% 21% 14%

M m LMop M m M gkLMOP m t WX WX x

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


4 Jul 2020Table 74FR01_1 Have you felt any of the following recently due to the COVID-19 pandemic?

Cabin fever- bored and sick of being in my home


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 1076 1044 1118 1133 1124 1098 993 1072 955 981 888 971 1722 989 473 517 306 255 231 198- - - - 54% 52% 55% 55% 55% 53% 51% 54% 49% 50% 45% 50% 54% 51% 51% 50% 52% 52% 50% 48%

MNOP O fKMNOPR fKMNOPR fKMNOPR MnOp O MnOP o O O KMNOPR O

Yes

- - - - 917 969 911 917 915 969 968 924 1010 988 1075 991 1439 968 461 507 284 233 234 217- - - - 46% 48% 45% 45% 45% 47% 49% 46% 51% 50% 55% 50% 46% 49% 49% 50% 48% 48% 50% 52%

ghi GHIQ EGHIJLQ EGHIjlQ EFGHIJKLmNPQR EGHIjLQ GHIQ

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Claustrophobic- unable to escape my home


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 695 660 703 725 709 696 617 584 577 587 572 630 1109 660 338 322 234 201 141 84- - - - 35% 33% 35% 35% 35% 34% 31% 29% 29% 30% 29% 32% 35% 34% 36% 31% 40% 41% 30% 20%

kLMNO lmo kLMNO KLMNOp kLMNO LMNO KLMNOp LMNO WX WX X

Yes

- - - - 1298 1353 1326 1325 1330 1371 1344 1412 1388 1382 1391 1332 2052 1297 595 702 356 288 324 330- - - - 65% 67% 65% 65% 65% 66% 69% 71% 71% 70% 71% 68% 65% 66% 64% 69% 60% 59% 70% 80%

egHiQ EfGHIJQR EfGHIJQR EGHIJQR EfGHIJQR hq UV UVW

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 972 967 1049 1057 1026 953 958 983 945 988 844 867 1544 966 456 509 347 278 210 131- - - - 49% 48% 52% 52% 50% 46% 49% 49% 48% 50% 43% 44% 49% 49% 49% 50% 59% 57% 45% 32%

OP Op fJmOP fJmOP JOP OP OP Op JOP OP OP WX WX X

Yes

- - - - 1021 1046 980 993 1013 1113 1003 1013 1020 981 1119 1095 1617 991 477 515 243 210 255 283- - - - 51% 52% 48% 48% 50% 54% 51% 51% 52% 50% 57% 56% 51% 51% 51% 50% 41% 43% 55% 68%

gh GHIN gh EFGHIKLMNQR EfGHIKLmNQR UV UVW

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Appreciative-to be around people I truly care about


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 1549 1507 1468 1561 1529 1437 1449 1532 1385 1430 1346 1391 2354 1419 656 763 383 356 353 328- - - - 78% 75% 72% 76% 75% 70% 74% 77% 70% 73% 69% 71% 74% 73% 70% 75% 65% 73% 76% 79%

fGJKMNOPQR JMOP O GJMNOPR JMOP JmO GJMNOPR jO JMOP O U U U

Yes

- - - - 444 506 561 489 510 629 512 464 580 539 617 571 807 538 277 261 207 132 112 87- - - - 22% 25% 28% 24% 25% 30% 26% 23% 30% 27% 31% 29% 26% 27% 30% 25% 35% 27% 24% 21%

e EHL EFHIKLnQ E EFHIkLQ EHL EFGHIKLNQR EFHILQ E EHL VWX

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 1529 1543 1551 1572 1492 1409 1444 1536 1392 1398 1306 1333 2381 1379 604 775 379 347 360 293- - - - 77% 77% 76% 77% 73% 68% 74% 77% 71% 71% 67% 68% 75% 70% 65% 76% 64% 71% 77% 71%

IJkMNOPR IJkMNOPR iJMNOPR IJkMNOPR JOP JOP IJkMNOPR O Op JMNOPR O S u Uv

Yes

- - - - 464 470 478 478 547 657 517 460 573 571 657 629 780 578 329 249 210 142 105 122- - - - 23% 23% 24% 23% 27% 32% 26% 23% 29% 29% 33% 32% 25% 30% 35% 24% 36% 29% 23% 29%

EFgHL EFGHIKLQ efhl EFGHLQ EFGHLQ EFGHIKLMNQR EFGHIKLnQ EFGHLQ T vW w

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lonely-feeling isolated from my friends/family


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 974 964 991 1026 961 943 903 913 791 876 814 835 1509 892 423 468 290 250 191 160- - - - 49% 48% 49% 50% 47% 46% 46% 46% 40% 44% 41% 43% 48% 46% 45% 46% 49% 51% 41% 39%

MNOP MnOP jMNOP JKLMNOPR MOP MO MOp MO M MnOP MO wX WX

Yes

- - - - 1019 1049 1038 1024 1078 1124 1058 1083 1174 1093 1149 1127 1652 1065 510 556 300 238 273 255- - - - 51% 52% 51% 50% 53% 54% 54% 54% 60% 56% 59% 57% 52% 54% 55% 54% 51% 49% 59% 61%

gH H H EFGHIJKLNQR EfGHq EFGHIJKLQR EFGHIkQ H uV UV

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 728 723 716 751 705 677 635 678 632 687 619 655 1151 676 370 306 277 237 111 50- - - - 37% 36% 35% 37% 35% 33% 32% 34% 32% 35% 32% 33% 36% 35% 40% 30% 47% 49% 24% 12%

JKMOp jkmO mO JKMOp o JKMOp T WX WX X

Yes

- - - - 1265 1290 1313 1299 1334 1389 1326 1318 1333 1282 1344 1307 2010 1281 563 718 312 251 353 365- - - - 63% 64% 65% 63% 65% 67% 68% 66% 68% 65% 68% 67% 64% 65% 60% 70% 53% 51% 76% 88%

EfHQ EfHQ EfgHQ EFGHnQ ehq S UV UVW

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 1068 1027 1006 1038 994 1003 958 1001 888 971 834 971 1697 1055 517 538 354 287 243 171- - - - 54% 51% 50% 51% 49% 49% 49% 50% 45% 49% 43% 49% 54% 54% 55% 53% 60% 59% 52% 41%

GIJKlMNOP MO MO MO mO mO mO MO MO MO GhIJKlMNOP GIJKlMNOP wX X X

Yes

- - - - 925 986 1023 1012 1045 1063 1003 995 1077 998 1129 991 1464 902 416 486 236 201 222 244- - - - 46% 49% 50% 49% 51% 51% 51% 50% 55% 51% 57% 51% 46% 46% 45% 47% 40% 41% 48% 59%

EQR q EQR EQR EQR eqr EFGHijkLNPQR EQR EFGHIJKLNPQR EQR u UVW

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 649 650 643 695 666 657 617 603 563 646 596 604 1094 634 329 304 270 206 98 60- - - - 33% 32% 32% 34% 33% 32% 31% 30% 29% 33% 30% 31% 35% 32% 35% 30% 46% 42% 21% 14%

M m LMop M m M gkLMOP m t WX WX x

Yes

- - - - 1344 1363 1386 1355 1373 1409 1344 1393 1402 1323 1367 1358 2067 1323 604 720 320 283 366 355- - - - 67% 68% 68% 66% 67% 68% 69% 70% 71% 67% 70% 69% 65% 68% 65% 70% 54% 58% 79% 86%

q q HQ EfHIjNQr hQ hQ s UV UVw

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Fear- that my kids are missing out on learning

Base: Parent

Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - - 1183 1121 1159 1115 1108 1166 1133 1140 1856 1180 578 602 268 504 257 151Unweighted Base-** -** -** -** -** -** -** -** 1188 1147 1161 1093 1107 1141 1148 1147 1782 1099 535 564 247 345 290 216*Weighted Base

- - - - - - - - 506 426 509 435 394 456 455 500 762 445 254 191 132 190 83 39- - - - - - - - 43% 37% 44% 40% 36% 40% 40% 44% 43% 40% 47% 34% 54% 55% 29% 18%

JM JM m JM JM m T WX WX x

Yes

- - - - - - - - 682 722 652 658 713 685 693 648 1019 654 281 373 115 155 207 177- - - - - - - - 57% 63% 56% 60% 64% 60% 60% 56% 57% 60% 53% 66% 46% 45% 71% 82%

IKPQ IKnPQr S UV UVw

No

- - - - - - - - 1188 1147 1161 1093 1107 1141 1148 1147 1782 1099 535 564 247 345 290 216- - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Thankful - for the sacrifices that the American people have made for coronavirus


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - - - - 1961 1996 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** -** -** -** -** -** -** 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

- - - - - - - - - - 1549 1581 1484 1505 1345 1428 2431 1470 664 806 389 348 376 357- - - - - - - - - - 79% 79% 76% 76% 69% 73% 77% 75% 71% 79% 66% 71% 81% 86%

MOPR MnOPR O OP O OP O S UV UV

Yes

- - - - - - - - - - 412 415 481 464 618 534 730 487 269 218 200 140 89 57- - - - - - - - - - 21% 21% 24% 24% 31% 27% 23% 25% 29% 21% 34% 29% 19% 14%

KL l KLMNPQR KLNQ KL T WX WX

No

- - - - - - - - - - 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 85FR05 How much would you say you miss each of the following during this time of virus-related restrictions?

Summary Of A Lot/Somewhat


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

- - - - - 1494 1579 1605 1579 1584 1502 1608 1473 1483 1416 1491 2402 1480 686 794 435 362 353 330- - - - - 74% 78% 78% 77% 77% 77% 81% 75% 75% 72% 76% 76% 76% 73% 78% 74% 74% 76% 80%

FmO FMnO fO O O FgiJKMNOPQR o O O o

Gatherings with friendsand family

- - - - - 1405 1492 1523 1521 1493 1402 1509 1400 1461 1364 1457 2273 1389 682 707 429 340 327 293- - - - - 70% 74% 74% 75% 72% 71% 76% 71% 74% 69% 74% 72% 71% 73% 69% 73% 70% 70% 71%

FO FmOr FkmOqr FjKMOQR FOr FmOr

Dining out at arestaurant/bar

- - - - - - - - - - - - - 1327 1289 1362 2160 1328 607 720 403 335 313 277- - - - - - - - - - - - - 67% 66% 69% 68% 68% 65% 70% 68% 69% 67% 67%

O s

In person celebrations(e.g., Easter, birthdays,graduations)

- - - - - 1341 1381 1399 1394 1445 1298 1376 1254 1316 1211 1332 2168 1284 610 674 388 344 281 271- - - - - 67% 68% 68% 68% 70% 66% 69% 64% 67% 62% 68% 69% 66% 65% 66% 66% 70% 61% 65%

O MO MO MO fKMnOR O MOr O MO MO o W

Shopping in stores

- - - - - 1191 1188 1281 1297 1310 1242 1320 1172 1220 1205 1256 1991 1205 573 633 382 314 284 226- - - - - 59% 59% 62% 64% 63% 63% 66% 60% 62% 61% 64% 63% 62% 61% 62% 65% 64% 61% 55%

fG FGM FGm FGm FGhMNOqR g FGM FGm X X

Going to a socialgathering,

- - - - - 916 984 1072 1069 1033 988 1091 971 1011 962 1093 1604 1021 524 497 344 300 229 148- - - - - 46% 49% 52% 52% 50% 50% 55% 49% 51% 49% 56% 51% 52% 56% 49% 58% 61% 49% 36%

Fgo FGo F F FGJKMnOQ f F f FGhiJKMNOQr F Fg T WX WX X

Attending events likeconcerts, theatre andsporting events

- - - - - 983 958 991 1011 990 972 965 980 978 982 1000 1505 995 508 487 295 268 233 198- - - - - 49% 47% 48% 50% 48% 50% 48% 50% 50% 50% 51% 48% 51% 54% 48% 50% 55% 50% 48%

gq g T

Going to church

- - - - - 893 972 992 993 989 904 977 956 1005 928 1002 1528 961 511 450 333 288 198 142- - - - - 44% 48% 48% 49% 48% 46% 49% 49% 51% 47% 51% 48% 49% 55% 44% 56% 59% 43% 34%

f F F f F F FKo FKo F F T WX WX x

Going to a movie theatre

- - - - - 910 909 1017 963 955 932 974 898 948 909 916 1473 909 554 355 272 272 202 162- - - - - 45% 45% 50% 47% 46% 48% 49% 46% 48% 46% 47% 47% 46% 59% 35% 46% 56% 44% 39%

FGjmo fG g T UWX

Watching sports on TV

- - - - - 858 940 894 955 988 933 969 892 916 840 904 1426 896 483 412 311 265 173 147- - - - - 43% 46% 44% 47% 48% 48% 49% 45% 47% 43% 46% 45% 46% 52% 40% 53% 54% 37% 35%

fo FhO FHO FHO FHOq Fo f T WX WX

Going to my local coffeeshop

- - - - - 707 737 758 828 815 807 828 765 792 754 824 1314 833 429 404 302 231 171 129- - - - - 35% 36% 37% 41% 39% 41% 41% 39% 40% 38% 42% 42% 43% 46% 39% 51% 47% 37% 31%

FGh F FGH FGH f FGh f FGHo FGHo FGHmO T WX WX

Traveling on an airplane

- - - - - 742 802 838 809 829 777 817 767 813 735 849 1302 802 473 329 305 259 139 99- - - - - 37% 40% 41% 40% 40% 40% 41% 39% 41% 37% 43% 41% 41% 51% 32% 52% 53% 30% 24%

Fo f Fo FO FgikMO FO Fo T WX WX

Going to the gym/work outclass

- - - - - 621 666 694 683 680 609 602 622 675 663 670 1104 647 403 244 254 234 109 49- - - - - 31% 33% 34% 34% 33% 31% 30% 32% 34% 34% 34% 35% 33% 43% 24% 43% 48% 23% 12%

fL l fkL l fL FKLm T WX WX X

Working from the office

- - - - - 488 538 583 598 611 533 575 581 593 580 642 930 622 344 278 300 213 69 41- - - - - 24% 27% 28% 29% 30% 27% 29% 30% 30% 30% 33% 29% 32% 37% 27% 51% 44% 15% 10%

F F Fg F Fg FG Fg FGHijKLmoq Fg FGhK T vWX WX

Going to school oruniversity



4 Jul 2020Table 86FR05 How much would you say you miss each of the following during this time of virus-related restrictions?

Summary Of Not At All/Not Very


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 1525 1491 1467 1441 1456 1428 1421 1384 1376 1383 1320 2231 1335 589 746 290 276 396 373- - - - - 76% 73% 72% 71% 70% 73% 71% 70% 70% 70% 67% 71% 68% 63% 73% 49% 56% 85% 90%

HIJLMNOPQR jmNoPqR Pr p p PR P p p p S u UV UV

Going to school oruniversity

- - - - - 1392 1363 1356 1356 1386 1352 1394 1343 1294 1300 1292 2057 1310 530 780 335 254 355 365- - - - - 69% 67% 66% 66% 67% 69% 70% 68% 66% 66% 66% 65% 67% 57% 76% 57% 52% 77% 88%

hnpQ nQ HiNoPQ q S UV UVW


- - - - - 1271 1227 1212 1230 1237 1184 1179 1198 1156 1228 1113 1859 1155 460 695 285 229 325 315- - - - - 63% 60% 59% 60% 60% 60% 59% 61% 59% 63% 57% 59% 59% 49% 68% 48% 47% 70% 76%

HjLNPQR p p p P hlNPQr S UV UV

Going to the gym/work outclass

- - - - - 1306 1292 1292 1211 1252 1154 1168 1200 1177 1209 1138 1847 1124 504 620 288 257 294 285- - - - - 65% 64% 63% 59% 61% 59% 59% 61% 60% 62% 58% 58% 57% 54% 61% 49% 53% 63% 69%

IJKLmNoPQR IKLNPQR iKLnPQR r pqR S UV UV


- - - - - 1155 1089 1156 1084 1078 1028 1027 1073 1053 1123 1058 1735 1061 450 611 278 224 292 268- - - - - 57% 54% 56% 53% 52% 52% 51% 55% 53% 57% 54% 55% 54% 48% 60% 47% 46% 63% 65%

gIJKLNp iJKL gIJKLn l S UV UV

Going to my local coffeeshop

- - - - - 1103 1120 1033 1076 1112 1029 1022 1067 1021 1054 1046 1688 1048 380 669 318 216 262 253- - - - - 55% 55% 50% 53% 54% 52% 51% 54% 52% 54% 53% 53% 54% 41% 65% 54% 44% 56% 61%

Hl HLn h h h S V V V


- - - - - 1120 1057 1058 1046 1077 1057 1019 1009 964 1035 960 1633 996 422 574 257 200 266 273- - - - - 56% 52% 52% 51% 52% 54% 51% 51% 49% 53% 49% 52% 51% 45% 56% 44% 41% 57% 66%

gHIjLMNPQR NP np S UV UVw


- - - - - 1030 1071 1059 1028 1076 989 1031 985 991 981 962 1656 962 425 537 295 220 231 216- - - - - 51% 53% 52% 50% 52% 50% 52% 50% 50% 50% 49% 52% 49% 46% 52% 50% 45% 50% 52%

pr p S

Going to church

- - - - - 1097 1045 978 970 1033 973 905 994 958 1001 869 1557 936 409 527 245 189 236 266- - - - - 54% 51% 48% 48% 50% 50% 45% 51% 49% 51% 44% 49% 48% 44% 51% 42% 39% 51% 64%

HIJKLmNoPQR hILPr p p LP LP LP lP hiLP LP p S UV UVW

Attending events likeconcerts, theatre andsporting events

- - - - - 822 841 769 742 756 719 676 793 749 758 706 1170 752 361 391 208 175 181 188- - - - - 41% 41% 38% 36% 37% 37% 34% 40% 38% 39% 36% 37% 38% 39% 38% 35% 36% 39% 45%

hIJKLPQ HIJKLnPQ l IjkLPq L L l L UV

Going to a socialgathering,

- - - - - 672 648 651 645 621 663 620 711 653 752 630 993 673 323 350 202 144 183 144- - - - - 33% 32% 32% 32% 30% 34% 31% 36% 33% 38% 32% 31% 34% 35% 34% 34% 30% 39% 35%

j J GHIJLPQ j FGHIJKLNPQr Jl V

Shopping in stores

- - - - - - - - - - - - - 642 674 600 1001 629 326 304 186 154 152 137- - - - - - - - - - - - - 33% 34% 31% 32% 32% 35% 30% 32% 31% 33% 33%

P t

In person celebrations(e.g., Easter, birthdays,graduations)

- - - - - 608 537 527 518 573 559 487 565 508 599 505 888 568 251 317 160 149 137 122- - - - - 30% 26% 26% 25% 28% 29% 24% 29% 26% 31% 26% 28% 29% 27% 31% 27% 30% 30% 29%

GHILNP l iL hiLp GHILNP iL hiLnp

Dining out at arestaurant/bar

- - - - - 519 450 445 460 483 459 388 492 486 547 471 759 477 247 230 155 126 112 85- - - - - 26% 22% 22% 23% 23% 23% 19% 25% 25% 28% 24% 24% 24% 27% 22% 26% 26% 24% 20%

GHiL l l L L gHL hL GHIJKLnPQr L L L

Gatherings with friendsand family



4 Jul 2020Table 87FR05_1 How much would you say you miss each of the following during this time of virus-related restrictions?



Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 707 737 758 828 815 807 828 765 792 754 824 1314 833 429 404 302 231 171 129- - - - - 35% 36% 37% 41% 39% 41% 41% 39% 40% 38% 42% 42% 43% 46% 39% 51% 47% 37% 31%

FGh F FGH FGH f FGh f FGHo FGHo FGHmO T WX WX

A Lot/Somewhat (Net)

- - - - - 301 308 304 355 356 312 334 372 377 296 357 551 383 216 166 136 113 80 54- - - - - 15% 15% 15% 17% 17% 16% 17% 19% 19% 15% 18% 17% 20% 23% 16% 23% 23% 17% 13%

fh h FGHkO FGHKO FGHO fho FGHKlO T wX wX

A lot

- - - - - 406 429 454 473 459 495 494 392 415 457 467 763 450 213 237 166 118 90 76- - - - - 20% 21% 22% 23% 22% 25% 25% 20% 21% 23% 24% 24% 23% 23% 23% 28% 24% 19% 18%

fm FGhjMN FGMN fM FM FgMn m WX

Somewhat

- - - - - 1306 1292 1292 1211 1252 1154 1168 1200 1177 1209 1138 1847 1124 504 620 288 257 294 285- - - - - 65% 64% 63% 59% 61% 59% 59% 61% 60% 62% 58% 58% 57% 54% 61% 49% 53% 63% 69%

IJKLmNoPQR IKLNPQR iKLnPQR r pqR S UV UV

Not At All/Not Very (Net)

- - - - - 343 405 352 360 422 375 374 322 339 341 316 544 305 151 155 91 76 62 76- - - - - 17% 20% 17% 18% 20% 19% 19% 16% 17% 17% 16% 17% 16% 16% 15% 16% 15% 13% 18%

fhMnoPqR FHiMNOPQR mpR pR

Not very

- - - - - 963 887 940 852 830 779 794 878 838 869 822 1303 819 353 465 196 182 232 209- - - - - 48% 44% 46% 42% 40% 40% 40% 45% 43% 44% 42% 41% 42% 38% 45% 33% 37% 50% 50%

GIJKLNoPQR jKL IJKLnPQr JKLq JKL S UV UV

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma






Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 893 972 992 993 989 904 977 956 1005 928 1002 1528 961 511 450 333 288 198 142- - - - - 44% 48% 48% 49% 48% 46% 49% 49% 51% 47% 51% 48% 49% 55% 44% 56% 59% 43% 34%

f F F f F F FKo FKo F F T WX WX x


- - - - - 396 345 423 447 411 379 402 411 410 402 441 693 443 261 182 178 140 77 49- - - - - 20% 17% 21% 22% 20% 19% 20% 21% 21% 20% 22% 22% 23% 28% 18% 30% 29% 16% 12%

g G G g G G G G fGk Gk fGk T WX WX

A lot

- - - - - 496 627 569 546 578 525 575 546 595 525 561 834 518 249 268 155 148 122 93- - - - - 25% 31% 28% 27% 28% 27% 29% 28% 30% 27% 29% 26% 26% 27% 26% 26% 30% 26% 22%

FhIjKmOQR f f F f FikoQR F x

Somewhat

- - - - - 1120 1057 1058 1046 1077 1057 1019 1009 964 1035 960 1633 996 422 574 257 200 266 273- - - - - 56% 52% 52% 51% 52% 54% 51% 51% 49% 53% 49% 52% 51% 45% 56% 44% 41% 57% 66%

gHIjLMNPQR NP np S UV UVw


- - - - - 358 361 350 364 375 383 379 333 325 352 328 607 345 149 196 143 55 79 68- - - - - 18% 18% 17% 18% 18% 20% 19% 17% 17% 18% 17% 19% 18% 16% 19% 24% 11% 17% 16%

np np VWX v

Not very

- - - - - 762 696 707 682 703 674 640 675 639 684 633 1027 651 273 378 114 145 187 205- - - - - 38% 34% 35% 33% 34% 34% 32% 34% 32% 35% 32% 32% 33% 29% 37% 19% 30% 40% 49%

ghIJkLmNPQR S U UV UVw

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Shopping in stores


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 1341 1381 1399 1394 1445 1298 1376 1254 1316 1211 1332 2168 1284 610 674 388 344 281 271- - - - - 67% 68% 68% 68% 70% 66% 69% 64% 67% 62% 68% 69% 66% 65% 66% 66% 70% 61% 65%

O MO MO MO fKMnOR O MOr O MO MO o W


- - - - - 625 577 557 558 576 497 577 512 551 480 525 814 500 236 264 193 141 82 84- - - - - 31% 28% 27% 27% 28% 25% 29% 26% 28% 24% 27% 26% 26% 25% 26% 33% 29% 18% 20%

HIjKMnOPQR kO o o kOqr O WX WX

A lot

- - - - - 716 804 842 836 869 801 799 742 764 731 806 1353 784 373 411 195 203 199 187- - - - - 36% 40% 41% 41% 42% 41% 40% 38% 39% 37% 41% 43% 40% 40% 40% 33% 42% 43% 45%

F FmO Fmo FMnO Fo F f FmO FgMNO F U U U

Somewhat

- - - - - 672 648 651 645 621 663 620 711 653 752 630 993 673 323 350 202 144 183 144- - - - - 33% 32% 32% 32% 30% 34% 31% 36% 33% 38% 32% 31% 34% 35% 34% 34% 30% 39% 35%

j J GHIJLPQ j FGHIJKLNPQr Jl V


- - - - - 396 365 363 405 362 400 384 427 380 418 390 584 391 189 203 127 74 96 95- - - - - 20% 18% 18% 20% 18% 20% 19% 22% 19% 21% 20% 18% 20% 20% 20% 22% 15% 21% 23%

hj GHJQ GHJq V v V

Not very

- - - - - 275 283 287 239 259 263 236 284 274 334 240 410 282 135 147 75 70 87 49- - - - - 14% 14% 14% 12% 13% 13% 12% 14% 14% 17% 12% 13% 14% 14% 14% 13% 14% 19% 12%

i il Il FGHIJKLmNPQr il Ux

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma






Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 621 666 694 683 680 609 602 622 675 663 670 1104 647 403 244 254 234 109 49- - - - - 31% 33% 34% 34% 33% 31% 30% 32% 34% 34% 34% 35% 33% 43% 24% 43% 48% 23% 12%

fL l fkL l fL FKLm T WX WX X


- - - - - 261 246 301 268 266 213 223 253 272 252 276 472 269 188 81 101 115 34 20- - - - - 13% 12% 15% 13% 13% 11% 11% 13% 14% 13% 14% 15% 14% 20% 8% 17% 24% 7% 5%

GKL k KL KL GKL Kl T WX UWX

A lot

- - - - - 360 420 393 415 414 395 379 369 404 411 394 632 378 215 163 154 119 75 30- - - - - 18% 21% 19% 20% 20% 20% 19% 19% 20% 21% 20% 20% 19% 23% 16% 26% 24% 16% 7%

f f f T WX WX X

Somewhat

- - - - - 1392 1363 1356 1356 1386 1352 1394 1343 1294 1300 1292 2057 1310 530 780 335 254 355 365- - - - - 69% 67% 66% 66% 67% 69% 70% 68% 66% 66% 66% 65% 67% 57% 76% 57% 52% 77% 88%

hnpQ nQ HiNoPQ q S UV UVW


- - - - - 270 296 323 333 325 321 289 380 290 297 280 486 310 147 163 125 78 71 36- - - - - 13% 15% 16% 16% 16% 16% 14% 19% 15% 15% 14% 15% 16% 16% 16% 21% 16% 15% 9%

f F f F FGHiJkLNOPQR f vwX X X

Not very

- - - - - 1123 1067 1033 1023 1061 1031 1105 963 1004 1003 1011 1570 1000 383 617 211 176 284 329- - - - - 56% 53% 50% 50% 51% 53% 55% 49% 51% 51% 52% 50% 51% 41% 60% 36% 36% 61% 79%

HIJMNOPQR m m HIJMNOpQR S UV UVW

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Attending events like concerts, theatre and sporting events


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 916 984 1072 1069 1033 988 1091 971 1011 962 1093 1604 1021 524 497 344 300 229 148- - - - - 46% 49% 52% 52% 50% 50% 55% 49% 51% 49% 56% 51% 52% 56% 49% 58% 61% 49% 36%

Fgo FGo F F FGJKMnOQ f F f FGhiJKMNOQr F Fg T WX WX X


- - - - - 430 426 503 473 438 422 467 457 485 442 516 730 451 249 203 173 134 101 43- - - - - 21% 21% 25% 23% 21% 22% 23% 23% 25% 23% 26% 23% 23% 27% 20% 29% 28% 22% 10%

fGJk fGJk FGiJKlmOQr T WX X X

A lot

- - - - - 486 558 569 595 596 566 624 514 526 520 577 874 570 276 294 171 165 128 106- - - - - 24% 27% 28% 29% 29% 29% 31% 26% 27% 27% 29% 28% 29% 30% 29% 29% 34% 28% 25%

f F Fm F F FGhMNOQ Fm F F x

Somewhat

- - - - - 1097 1045 978 970 1033 973 905 994 958 1001 869 1557 936 409 527 245 189 236 266- - - - - 54% 51% 48% 48% 50% 50% 45% 51% 49% 51% 44% 49% 48% 44% 51% 42% 39% 51% 64%

HIJKLmNoPQR hILPr p p LP LP LP lP hiLP LP p S UV UVW


- - - - - 394 357 304 362 375 344 331 324 347 353 312 536 320 152 168 119 66 65 70- - - - - 20% 18% 15% 18% 18% 18% 17% 16% 18% 18% 16% 17% 16% 16% 16% 20% 13% 14% 17%

HlMPqR h H H h h H Vw

Not very

- - - - - 703 688 674 608 658 629 574 670 612 647 557 1021 616 257 359 126 123 171 196- - - - - 35% 34% 33% 30% 32% 32% 29% 34% 31% 33% 28% 32% 31% 28% 35% 21% 25% 37% 47%

ILNPr ILP iLP lp lp ILP iLP LP S UV UVW

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Dining out at a restaurant/bar


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 1405 1492 1523 1521 1493 1402 1509 1400 1461 1364 1457 2273 1389 682 707 429 340 327 293- - - - - 70% 74% 74% 75% 72% 71% 76% 71% 74% 69% 74% 72% 71% 73% 69% 73% 70% 70% 71%

FO FmOr FkmOqr FjKMOQR FOr FmOr


- - - - - 670 708 737 757 785 656 734 696 711 632 710 1071 633 320 312 205 157 135 136- - - - - 33% 35% 36% 37% 38% 33% 37% 35% 36% 32% 36% 34% 32% 34% 31% 35% 32% 29% 33%

Or FkOqR FgKOQR fkOR o Or Or

A lot

- - - - - 735 783 786 764 707 746 775 704 750 732 747 1202 757 362 395 225 183 192 157- - - - - 37% 39% 38% 37% 34% 38% 39% 36% 38% 37% 38% 38% 39% 39% 39% 38% 37% 41% 38%

J J j j J J J J J

Somewhat

- - - - - 608 537 527 518 573 559 487 565 508 599 505 888 568 251 317 160 149 137 122- - - - - 30% 26% 26% 25% 28% 29% 24% 29% 26% 31% 26% 28% 29% 27% 31% 27% 30% 30% 29%

GHILNP l iL hiLp GHILNP iL hiLnp


- - - - - 287 251 225 261 273 278 260 252 233 291 237 394 257 123 134 76 70 67 44- - - - - 14% 12% 11% 13% 13% 14% 13% 13% 12% 15% 12% 12% 13% 13% 13% 13% 14% 14% 11%

Hn h Hn gHNPq

Not very

- - - - - 321 286 301 256 300 281 226 313 275 308 268 494 311 128 183 84 78 70 78- - - - - 16% 14% 15% 13% 15% 14% 11% 16% 14% 16% 14% 16% 16% 14% 18% 14% 16% 15% 19%

IL L L L L IL L IL l IL IL s

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma






Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 910 909 1017 963 955 932 974 898 948 909 916 1473 909 554 355 272 272 202 162- - - - - 45% 45% 50% 47% 46% 48% 49% 46% 48% 46% 47% 47% 46% 59% 35% 46% 56% 44% 39%

FGjmo fG g T UWX


- - - - - 481 478 541 502 501 476 537 505 529 483 470 737 508 342 166 134 161 108 104- - - - - 24% 24% 26% 25% 24% 24% 27% 26% 27% 25% 24% 23% 26% 37% 16% 23% 33% 23% 25%

gq fGpQ fgpQ T UWx

A lot

- - - - - 429 431 476 461 454 457 437 393 419 427 446 736 401 211 189 138 111 94 58- - - - - 21% 21% 23% 23% 22% 23% 22% 20% 21% 22% 23% 23% 20% 23% 18% 23% 23% 20% 14%

m m Mr X X x

Somewhat

- - - - - 1103 1120 1033 1076 1112 1029 1022 1067 1021 1054 1046 1688 1048 380 669 318 216 262 253- - - - - 55% 55% 50% 53% 54% 52% 51% 54% 52% 54% 53% 53% 54% 41% 65% 54% 44% 56% 61%

Hl HLn h h h S V V V


- - - - - 314 287 250 322 327 292 280 305 292 336 334 508 281 116 165 119 59 55 47- - - - - 16% 14% 12% 16% 16% 15% 14% 16% 15% 17% 17% 16% 14% 12% 16% 20% 12% 12% 11%

H H H h H H GHLr GHLr H s VWX

Not very

- - - - - 789 833 783 754 785 736 742 761 729 718 712 1180 768 264 504 198 157 207 206- - - - - 39% 41% 38% 37% 38% 38% 37% 39% 37% 37% 36% 37% 39% 28% 49% 34% 32% 45% 50%

IkLNOPQ S UV UV

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Gatherings with friends and family


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 1494 1579 1605 1579 1584 1502 1608 1473 1483 1416 1491 2402 1480 686 794 435 362 353 330- - - - - 74% 78% 78% 77% 77% 77% 81% 75% 75% 72% 76% 76% 76% 73% 78% 74% 74% 76% 80%

FmO FMnO fO O O FgiJKMNOPQR o O O o


- - - - - 833 891 941 899 906 813 925 783 806 737 841 1268 817 362 456 251 202 188 177- - - - - 41% 44% 46% 44% 44% 41% 46% 40% 41% 38% 43% 40% 42% 39% 44% 43% 41% 40% 43%

o MOQ FKMNOQR MOQ MOQ o FKMNOpQR o O O s

A lot

- - - - - 661 688 664 680 677 689 683 690 677 679 650 1135 663 324 339 184 161 165 153- - - - - 33% 34% 32% 33% 33% 35% 34% 35% 34% 35% 33% 36% 34% 35% 33% 31% 33% 36% 37%

fHj

Somewhat

- - - - - 519 450 445 460 483 459 388 492 486 547 471 759 477 247 230 155 126 112 85- - - - - 26% 22% 22% 23% 23% 23% 19% 25% 25% 28% 24% 24% 24% 27% 22% 26% 26% 24% 20%

GHiL l l L L gHL hL GHIJKLnPQr L L L


- - - - - 230 208 204 240 250 248 198 216 251 279 242 383 240 134 106 89 62 50 40- - - - - 11% 10% 10% 12% 12% 13% 10% 11% 13% 14% 12% 12% 12% 14% 10% 15% 13% 11% 10%

hl gHL GHL FGHiLMq ghl hl hl t x

Not very

- - - - - 289 242 242 220 233 211 190 277 235 268 229 376 237 114 123 66 64 62 45- - - - - 14% 12% 12% 11% 11% 11% 10% 14% 12% 14% 12% 12% 12% 12% 12% 11% 13% 13% 11%

ghIJKLnPq L l hIJKLpq l IjKL l L L

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to church


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 983 958 991 1011 990 972 965 980 978 982 1000 1505 995 508 487 295 268 233 198- - - - - 49% 47% 48% 50% 48% 50% 48% 50% 50% 50% 51% 48% 51% 54% 48% 50% 55% 50% 48%

gq g T


- - - - - 504 514 527 527 523 518 496 496 525 516 515 760 558 267 292 141 155 121 142- - - - - 25% 25% 26% 26% 25% 26% 25% 25% 27% 26% 26% 24% 29% 29% 29% 24% 32% 26% 34%

fgjLmQ U Uw

A lot

- - - - - 479 444 464 484 467 455 469 484 453 466 485 745 436 242 195 154 113 112 56- - - - - 24% 22% 23% 24% 23% 23% 24% 25% 23% 24% 25% 24% 22% 26% 19% 26% 23% 24% 14%

g T X X X

Somewhat

- - - - - 1030 1071 1059 1028 1076 989 1031 985 991 981 962 1656 962 425 537 295 220 231 216- - - - - 51% 53% 52% 50% 52% 50% 52% 50% 50% 50% 49% 52% 49% 46% 52% 50% 45% 50% 52%

pr p S


- - - - - 263 294 269 311 321 279 318 252 308 284 286 440 275 131 144 103 87 47 39- - - - - 13% 14% 13% 15% 16% 14% 16% 13% 16% 14% 15% 14% 14% 14% 14% 17% 18% 10% 9%

m fhm FHM fhM WX WX

Not very

- - - - - 767 777 790 718 756 709 713 734 683 697 677 1217 687 294 393 192 133 185 177- - - - - 38% 38% 39% 35% 37% 36% 36% 37% 35% 35% 34% 38% 35% 31% 38% 33% 27% 40% 43%

np inP iNPr iNoPr S uV UV

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to school or university


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 488 538 583 598 611 533 575 581 593 580 642 930 622 344 278 300 213 69 41- - - - - 24% 27% 28% 29% 30% 27% 29% 30% 30% 30% 33% 29% 32% 37% 27% 51% 44% 15% 10%

F F Fg F Fg FG Fg FGHijKLmoq Fg FGhK T vWX WX


- - - - - 233 219 275 267 274 220 263 255 280 261 281 402 303 177 127 146 108 26 23- - - - - 12% 11% 13% 13% 13% 11% 13% 13% 14% 13% 14% 13% 15% 19% 12% 25% 22% 6% 5%

Gk g g g g FGK g FGK FGiKmQ T WX WX

A lot

- - - - - 255 319 308 331 336 313 312 326 313 319 362 528 319 168 151 154 104 42 19- - - - - 13% 16% 15% 16% 16% 16% 16% 17% 16% 16% 18% 17% 16% 18% 15% 26% 21% 9% 5%

F f F F F F F F F FgHln F F WX WX x

Somewhat

- - - - - 1525 1491 1467 1441 1456 1428 1421 1384 1376 1383 1320 2231 1335 589 746 290 276 396 373- - - - - 76% 73% 72% 71% 70% 73% 71% 70% 70% 70% 67% 71% 68% 63% 73% 49% 56% 85% 90%

HIJLMNOPQR jmNoPqR Pr p p PR P p p p S u UV UV


- - - - - 225 277 263 287 278 311 254 261 268 293 276 410 265 130 135 103 68 58 36- - - - - 11% 14% 13% 14% 13% 16% 13% 13% 14% 15% 14% 13% 14% 14% 13% 18% 14% 12% 9%

f F f FHjLmQ f F F f X x

Not very

- - - - - 1300 1214 1205 1154 1178 1117 1167 1124 1107 1090 1043 1820 1070 459 611 187 208 338 337- - - - - 65% 60% 59% 57% 57% 57% 58% 57% 56% 56% 53% 58% 55% 49% 60% 32% 43% 73% 81%

GHIJKLMNOPQR inOPR oPR p p p Pr p P S U UV UVW

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to the gym/work out class


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 742 802 838 809 829 777 817 767 813 735 849 1302 802 473 329 305 259 139 99- - - - - 37% 40% 41% 40% 40% 40% 41% 39% 41% 37% 43% 41% 41% 51% 32% 52% 53% 30% 24%

Fo f Fo FO FgikMO FO Fo T WX WX


- - - - - 347 352 430 408 415 374 380 380 408 331 369 631 403 236 166 142 138 61 62- - - - - 17% 17% 21% 20% 20% 19% 19% 19% 21% 17% 19% 20% 21% 25% 16% 24% 28% 13% 15%

FGO fgO fgO FGO fgO FGO T WX WX

A lot

- - - - - 395 450 409 400 414 403 437 388 405 404 480 670 400 237 162 163 121 78 37- - - - - 20% 22% 20% 20% 20% 21% 22% 20% 21% 21% 24% 21% 20% 25% 16% 28% 25% 17% 9%

FHIJKMNOQR T WX WX X

Somewhat

- - - - - 1271 1227 1212 1230 1237 1184 1179 1198 1156 1228 1113 1859 1155 460 695 285 229 325 315- - - - - 63% 60% 59% 60% 60% 60% 59% 61% 59% 63% 57% 59% 59% 49% 68% 48% 47% 70% 76%

HjLNPQR p p p P hlNPQr S UV UV


- - - - - 294 305 299 359 313 323 344 302 280 302 313 503 266 104 163 120 71 40 35- - - - - 15% 15% 15% 18% 15% 16% 17% 15% 14% 15% 16% 16% 14% 11% 16% 20% 15% 9% 8%

FgHjNR r fhNR S vWX WX

Not very

- - - - - 977 923 913 872 924 861 836 896 876 926 800 1356 889 356 532 165 158 285 281- - - - - 49% 45% 45% 43% 45% 44% 42% 46% 45% 47% 41% 43% 45% 38% 52% 28% 32% 61% 68%

HIjKLNPQ lP p P lP p ILPQ lP S UV UV

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to a social gathering,


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 1191 1188 1281 1297 1310 1242 1320 1172 1220 1205 1256 1991 1205 573 633 382 314 284 226- - - - - 59% 59% 62% 64% 63% 63% 66% 60% 62% 61% 64% 63% 62% 61% 62% 65% 64% 61% 55%

fG FGM FGm FGm FGhMNOqR g FGM FGm X X


- - - - - 509 524 544 583 586 505 551 495 524 506 558 849 533 263 271 213 138 104 77- - - - - 25% 26% 27% 29% 28% 26% 28% 25% 27% 26% 28% 27% 27% 28% 26% 36% 28% 22% 19%

fm fm fm VWX X

A lot

- - - - - 682 664 737 713 724 737 769 677 696 700 698 1142 672 310 362 168 175 179 149- - - - - 34% 33% 36% 35% 35% 38% 39% 34% 35% 36% 36% 36% 34% 33% 35% 28% 36% 39% 36%

g fG FGijMnR g U U u

Somewhat

- - - - - 822 841 769 742 756 719 676 793 749 758 706 1170 752 361 391 208 175 181 188- - - - - 41% 41% 38% 36% 37% 37% 34% 40% 38% 39% 36% 37% 38% 39% 38% 35% 36% 39% 45%

hIJKLPQ HIJKLnPQ l IjkLPq L L l L UV


- - - - - 356 359 330 343 309 336 318 290 333 310 339 524 312 155 157 115 76 66 55- - - - - 18% 18% 16% 17% 15% 17% 16% 15% 17% 16% 17% 17% 16% 17% 15% 20% 16% 14% 13%

jm jM m wx

Not very

- - - - - 466 483 439 399 447 383 358 503 416 448 367 647 439 205 234 93 98 115 133- - - - - 23% 24% 21% 20% 22% 20% 18% 26% 21% 23% 19% 20% 22% 22% 23% 16% 20% 25% 32%

IKLPq IKLPQ Lp Lp HIJKLNPQr L IkLP l ikLP U UV

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to my local coffee shop


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - 858 940 894 955 988 933 969 892 916 840 904 1426 896 483 412 311 265 173 147- - - - - 43% 46% 44% 47% 48% 48% 49% 45% 47% 43% 46% 45% 46% 52% 40% 53% 54% 37% 35%

fo FhO FHO FHO FHOq Fo f T WX WX


- - - - - 360 381 376 379 417 357 386 376 349 333 376 574 338 183 155 130 112 51 45- - - - - 18% 19% 18% 19% 20% 18% 19% 19% 18% 17% 19% 18% 17% 20% 15% 22% 23% 11% 11%

Or t WX WX

A lot

- - - - - 498 558 518 576 571 576 583 516 568 507 528 852 557 300 258 181 152 122 102- - - - - 25% 28% 25% 28% 28% 29% 29% 26% 29% 26% 27% 27% 28% 32% 25% 31% 31% 26% 25%

Fh f FHmo FHo FHo Fh T

Somewhat

- - - - - 1155 1089 1156 1084 1078 1028 1027 1073 1053 1123 1058 1735 1061 450 611 278 224 292 268- - - - - 57% 54% 56% 53% 52% 52% 51% 55% 53% 57% 54% 55% 54% 48% 60% 47% 46% 63% 65%

gIJKLNp iJKL gIJKLn l S UV UV


- - - - - 342 350 366 380 351 360 338 366 351 354 322 605 334 147 187 109 71 90 65- - - - - 17% 17% 18% 19% 17% 18% 17% 19% 18% 18% 16% 19% 17% 16% 18% 18% 15% 19% 16%

p

Not very

- - - - - 813 740 790 704 727 668 688 707 702 769 736 1131 727 303 425 169 153 202 203- - - - - 40% 36% 39% 35% 35% 34% 34% 36% 36% 39% 38% 36% 37% 32% 41% 29% 31% 43% 49%

GIJKLMNQ IjKL IJKLnq k S UV UV

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




In person celebrations (e.g., Easter, birthdays, graduations)


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - - - - - - - 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** -** -** -** -** -** -** -** -** -** 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

- - - - - - - - - - - - - 1327 1289 1362 2160 1328 607 720 403 335 313 277- - - - - - - - - - - - - 67% 66% 69% 68% 68% 65% 70% 68% 69% 67% 67%

O s


- - - - - - - - - - - - - 700 625 721 1060 661 296 364 211 165 159 125- - - - - - - - - - - - - 36% 32% 37% 34% 34% 32% 36% 36% 34% 34% 30%

O Oq

A lot

- - - - - - - - - - - - - 627 664 640 1100 667 311 356 192 169 153 152- - - - - - - - - - - - - 32% 34% 33% 35% 34% 33% 35% 33% 35% 33% 37%

n

Somewhat

- - - - - - - - - - - - - 642 674 600 1001 629 326 304 186 154 152 137- - - - - - - - - - - - - 33% 34% 31% 32% 32% 35% 30% 32% 31% 33% 33%

P t


- - - - - - - - - - - - - 308 284 293 410 246 141 104 95 58 52 41- - - - - - - - - - - - - 16% 14% 15% 13% 13% 15% 10% 16% 12% 11% 10%

QR T wx

Not very

- - - - - - - - - - - - - 334 389 307 590 383 184 199 91 96 100 96- - - - - - - - - - - - - 17% 20% 16% 19% 20% 20% 19% 16% 20% 22% 23%

nP P P u U

Not at all

- - - - - - - - - - - - - 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 101Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?

Summary Of Concerned


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


2050 2019 2023 - - 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base2050 2019 2023 -** -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

1608 1618 1780 - - 1763 1727 1727 1691 1631 1548 1598 1541 1563 1484 1554 2485 1678 793 885 493 420 411 35478% 80% 88% - - 88% 85% 84% 83% 79% 79% 80% 78% 79% 76% 79% 79% 86% 85% 86% 84% 86% 88% 85%

o O ABGHIJKLMNOPQ ABgHIJKLMNOPQ ABJKLMNOPQ ABJKLMNOPQ AbJKlMNOPQ O o O O O o ABiJKLMNOPQ

Healthcare workers(doctors, nurses,supporting staff)

1540 1554 1740 - - 1644 1593 1563 1517 1472 1408 1412 1396 1395 1380 1403 2378 1582 742 840 482 398 369 33375% 77% 86% - - 82% 79% 76% 74% 71% 72% 71% 71% 71% 70% 72% 75% 81% 80% 82% 82% 82% 80% 80%

JkLMNOP JKLMNOP ABFGHIJKLMNOPQR ABGHIJKLMNOPQ AIJKLMNOPQ JKLMNOP jLmNO JKLMNOP ABHIJKLMNOPQ

Hospital beds (room forpatients)

1525 1547 1738 - - 1688 1631 1606 1561 1516 1420 1443 1398 1422 1353 1399 2329 1532 716 816 462 398 359 31374% 77% 86% - - 84% 80% 78% 77% 73% 72% 72% 71% 72% 69% 71% 74% 78% 77% 80% 78% 82% 77% 75%

mOp jKLMNOPq ABGHIJKLMNOPQR ABGHIJKLMNOPQR ABIJKLMNOPQ AJKLMNOPQ jKLMNOPq O o o o O AJKLMNOPQ

Hospital ventilators (forassisted breathing)

1395 1424 1672 - - 1692 1671 1683 1638 1540 1508 1475 1411 1443 1367 1372 2325 1510 695 816 461 382 364 30368% 71% 83% - - 84% 82% 82% 80% 75% 77% 74% 72% 73% 70% 70% 74% 77% 74% 80% 78% 78% 78% 73%

ABJKLMNOPQR ABIJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQr ABOP ABlMNOPQ AbOP A AOp AbOP ABlMNOPQ S

Surgical masks and gloves

1538 1479 1660 - - 1688 1651 1644 1627 1530 1494 1478 1419 1459 1346 1394 2215 1454 685 769 437 368 342 30675% 73% 82% - - 84% 81% 80% 80% 74% 76% 74% 72% 74% 69% 71% 70% 74% 73% 75% 74% 75% 74% 74%

OPQ Oq ABJKLMNOPQR ABgHIJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQR OpQ MOPQ OpQ O OpQ OpQ

Testing kits for COVID-19



4 Jul 2020Table 102Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?



Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



512 540 363 - - 325 378 406 412 536 467 518 546 510 617 568 946 503 249 255 152 120 122 10925% 27% 18% - - 16% 19% 20% 20% 26% 24% 26% 28% 26% 31% 29% 30% 26% 27% 25% 26% 25% 26% 26%

CFGHI CFGHI f F F CFGHI CFGHI CFGHI CFGHIK CFGHI ABCFGHIJKLMNR ACFGHIjKlnr AbCFGHIJKLNR CFGHI


655 595 351 - - 321 358 367 401 526 453 521 554 526 596 590 836 447 238 208 129 106 100 11132% 29% 17% - - 16% 18% 18% 20% 25% 23% 26% 28% 27% 30% 30% 26% 23% 26% 20% 22% 22% 22% 27%

CFGHIJKLMNQR CFGHIJKlqR F CFGHI CFGHI CFGHIkr CFGHIKR CFGHIKR CFGHIJKLNQR CFGHIJKLnQR CFGHIKR CFGHi T


525 472 285 - - 325 398 444 478 550 541 553 567 547 610 563 832 425 217 208 128 90 105 10226% 23% 14% - - 16% 20% 22% 23% 27% 28% 28% 29% 28% 31% 29% 26% 22% 23% 20% 22% 18% 23% 25%

CFGHR CFG CF CF CFG bCFGHiR BCFGHIR BCFGHIR aBCFGHIR BCFGHIR ABCFGHIJklnQR aBCFGHIR bCFGHiR CF

Hospital ventilators (forassisted breathing)

510 465 283 - - 369 436 487 522 594 553 584 569 574 583 559 783 375 191 184 108 90 95 8225% 23% 14% - - 18% 21% 24% 26% 29% 28% 29% 29% 29% 30% 28% 25% 19% 20% 18% 18% 18% 20% 20%

CFGR CFR C CF CFR CFGR ABCFGHiQR aBCFGHQR ABCFGHIQR ABCFGHiQR ABCFGHIQR ABCFGHIQR ABCFGHQR CFGR C

Hospital beds (room forpatients)

442 401 243 - - 250 302 323 348 435 413 398 424 406 479 408 676 279 140 139 97 68 54 6022% 20% 12% - - 12% 15% 16% 17% 21% 21% 20% 22% 21% 24% 21% 21% 14% 15% 14% 16% 14% 12% 15%

CFGHIR CFGHiR Cf CF CFr CFGHIR CFGHIR CFGHiR CFGHIR CFGHIR aBCFGHIJkLNPqR CFGHIR CFGHIR

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


4 Jul 2020Table 103Q22_1 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?



Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



1395 1424 1672 - - 1692 1671 1683 1638 1540 1508 1475 1411 1443 1367 1372 2325 1510 695 816 461 382 364 30368% 71% 83% - - 84% 82% 82% 80% 75% 77% 74% 72% 73% 70% 70% 74% 77% 74% 80% 78% 78% 78% 73%

ABJKLMNOPQR ABIJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQr ABOP ABlMNOPQ AbOP A AOp AbOP ABlMNOPQ S


644 743 1089 - - 1068 1036 1001 1026 880 856 815 773 776 738 725 1261 900 397 503 294 236 198 17331% 37% 54% - - 53% 51% 49% 50% 43% 44% 41% 39% 39% 38% 37% 40% 46% 43% 49% 50% 48% 43% 42%

A ABHiJKLMNOPQR ABHJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQ ABJKLMNOPQR ABmnOP ABMNOPQ ABoP A A A A Ab ABLMNOPQ S wx

Very concerned

751 682 583 - - 624 635 681 612 660 652 660 638 667 629 647 1065 610 298 312 167 147 166 13037% 34% 29% - - 31% 31% 33% 30% 32% 33% 33% 32% 34% 32% 33% 34% 31% 32% 31% 28% 30% 36% 31%

CFGhIJklMOpqR CI Ci c Ci Ci c CI c C CI u

Somewhat concerned

655 595 351 - - 321 358 367 401 526 453 521 554 526 596 590 836 447 238 208 129 106 100 11132% 29% 17% - - 16% 18% 18% 20% 25% 23% 26% 28% 27% 30% 30% 26% 23% 26% 20% 22% 22% 22% 27%

CFGHIJKLMNQR CFGHIJKlqR F CFGHI CFGHI CFGHIkr CFGHIKR CFGHIKR CFGHIJKLNQR CFGHIJKLnQR CFGHIKR CFGHi T


393 351 231 - - 215 235 213 258 316 275 327 342 340 345 370 498 279 136 143 82 68 57 7219% 17% 11% - - 11% 12% 10% 13% 15% 14% 16% 17% 17% 18% 19% 16% 14% 15% 14% 14% 14% 12% 17%

CFGHIJKlQR CFGHIKR h CFGHi cFgH CFGHI CFGHIKR CFGHIKR CFGHIKR CFGHIJKQR CFGHI CFgH

Not very concerned

262 243 120 - - 106 123 155 143 210 178 194 212 186 252 220 337 168 102 65 47 38 44 3913% 12% 6% - - 5% 6% 8% 7% 10% 9% 10% 11% 9% 13% 11% 11% 9% 11% 6% 8% 8% 9% 9%

CFGHIJKLNqR CFGHIKlNR cF f CFGHI CFGi CFGHI CFGHIr CFGhI CFGHIJKLNqR CFGHIkR CFGHIr CFG T


2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?



Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



1538 1479 1660 - - 1688 1651 1644 1627 1530 1494 1478 1419 1459 1346 1394 2215 1454 685 769 437 368 342 30675% 73% 82% - - 84% 81% 80% 80% 74% 76% 74% 72% 74% 69% 71% 70% 74% 73% 75% 74% 75% 74% 74%

OPQ Oq ABJKLMNOPQR ABgHIJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQR OpQ MOPQ OpQ O OpQ OpQ


834 828 1009 - - 1076 1018 1045 1045 881 900 802 799 788 710 757 1195 817 389 429 261 209 172 17541% 41% 50% - - 53% 50% 51% 51% 43% 46% 40% 41% 40% 36% 39% 38% 42% 42% 42% 44% 43% 37% 42%O Oq ABJkLMNOPQR ABcgJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQR ABJKLMNOPQR OPQ ABLMNOPQr O O O OQ w

Very concerned

704 651 651 - - 612 633 599 581 649 594 675 620 670 636 637 1020 636 296 340 176 159 170 13134% 32% 32% - - 30% 31% 29% 29% 31% 30% 34% 32% 34% 32% 32% 32% 33% 32% 33% 30% 33% 37% 32%

FgHIK I I fHIk i fHIk hI hI hI hI u

Somewhat concerned

512 540 363 - - 325 378 406 412 536 467 518 546 510 617 568 946 503 249 255 152 120 122 10925% 27% 18% - - 16% 19% 20% 20% 26% 24% 26% 28% 26% 31% 29% 30% 26% 27% 25% 26% 25% 26% 26%

CFGHI CFGHI f F F CFGHI CFGHI CFGHI CFGHIK CFGHI ABCFGHIJKLMNR ACFGHIjKlnr AbCFGHIJKLNR CFGHI


309 343 250 - - 203 242 241 264 345 280 306 314 315 358 351 600 327 155 173 91 75 85 7715% 17% 12% - - 10% 12% 12% 13% 17% 14% 15% 16% 16% 18% 18% 19% 17% 17% 17% 15% 15% 18% 19%

CFGH CFGHIk f F CFGHI Fgh CFGHi CFGHI CFGHI ACFGHIKl aCFGHIKl ACFGHIKLMN CFGHI

Not very concerned

203 198 113 - - 122 136 164 149 192 187 212 231 196 260 217 346 176 94 82 62 45 38 3210% 10% 6% - - 6% 7% 8% 7% 9% 10% 11% 12% 10% 13% 11% 11% 9% 10% 8% 10% 9% 8% 8%

CFGhI CFGI Cf c CFGi CFGI CFGHI CFGHIJkR CFGhI ABCFGHIJKLNqR CFGHI CFGHI CFG


2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?

Hospital beds (room for patients)


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



1540 1554 1740 - - 1644 1593 1563 1517 1472 1408 1412 1396 1395 1380 1403 2378 1582 742 840 482 398 369 33375% 77% 86% - - 82% 79% 76% 74% 71% 72% 71% 71% 71% 70% 72% 75% 81% 80% 82% 82% 82% 80% 80%

JkLMNOP JKLMNOP ABFGHIJKLMNOPQR ABGHIJKLMNOPQ AIJKLMNOPQ JKLMNOP jLmNO JKLMNOP ABHIJKLMNOPQ


766 857 1075 - - 959 882 854 806 742 722 718 711 732 684 727 1275 883 402 482 276 237 192 17837% 42% 53% - - 48% 43% 42% 40% 36% 37% 36% 36% 37% 35% 37% 40% 45% 43% 47% 47% 49% 41% 43%

AJKLMNOP ABFGHIJKLMNOPQR ABGHIJKLMNOPQ AIJKLMNOPq AJKLMNOP jlmO JkLMnOp AhIJKLMNOPQ w

Very concerned

774 697 665 - - 685 712 709 711 731 686 695 686 663 696 676 1104 699 341 358 206 161 177 15438% 35% 33% - - 34% 35% 35% 35% 35% 35% 35% 35% 34% 35% 34% 35% 36% 37% 35% 35% 33% 38% 37%

CfhNp

Somewhat concerned

510 465 283 - - 369 436 487 522 594 553 584 569 574 583 559 783 375 191 184 108 90 95 8225% 23% 14% - - 18% 21% 24% 26% 29% 28% 29% 29% 29% 30% 28% 25% 19% 20% 18% 18% 18% 20% 20%

CFGR CFR C CF CFR CFGR ABCFGHiQR aBCFGHQR ABCFGHIQR ABCFGHiQR ABCFGHIQR ABCFGHIQR ABCFGHQR CFGR C


301 282 196 - - 255 287 308 342 402 334 349 340 336 338 367 464 231 109 122 69 51 58 5315% 14% 10% - - 13% 14% 15% 17% 19% 17% 17% 17% 17% 17% 19% 15% 12% 12% 12% 12% 10% 12% 13%

CR C C Cr CfR bCFgR ABCFGHiQR BCFgqR aBCFGhQR aBCFGqR BCFGqR aBCFGqR ABCFGHQR CR

Not very concerned

209 183 86 - - 114 148 178 180 192 219 235 228 237 245 192 319 144 82 62 39 39 37 2910% 9% 4% - - 6% 7% 9% 9% 9% 11% 12% 12% 12% 12% 10% 10% 7% 9% 6% 7% 8% 8% 7%

CFGR CF Cf CF CF CFgr bCFGHiR BCFGHIJR BCFGHIjR BCFGHIJpqR aBCFGHIJPQR CFGR CFGR C


2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?

Hospital ventilators (for assisted breathing)


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



1525 1547 1738 - - 1688 1631 1606 1561 1516 1420 1443 1398 1422 1353 1399 2329 1532 716 816 462 398 359 31374% 77% 86% - - 84% 80% 78% 77% 73% 72% 72% 71% 72% 69% 71% 74% 78% 77% 80% 78% 82% 77% 75%

mOp jKLMNOPq ABGHIJKLMNOPQR ABGHIJKLMNOPQR ABIJKLMNOPQ AJKLMNOPQ jKLMNOPq O o o o O AJKLMNOPQ


738 842 1151 - - 1047 961 925 922 847 783 777 745 780 700 726 1245 878 394 483 290 225 184 17836% 42% 57% - - 52% 47% 45% 45% 41% 40% 39% 38% 40% 36% 37% 39% 45% 42% 47% 49% 46% 40% 43%

AmOP ABFGHIJKLMNOPQR ABGHIJKLMNOPQR ABJKLMNOPQ AbJKLMNOPQ AbJKLMNOPQ AOP aO o aO aO AjKLMNOPQ W

Very concerned

787 705 586 - - 641 670 682 639 670 637 666 653 642 653 674 1084 654 322 332 171 173 175 13438% 35% 29% - - 32% 33% 33% 31% 32% 32% 33% 33% 33% 33% 34% 34% 33% 34% 32% 29% 35% 38% 32%

bCFGHIJKLMNOPQR Ci C C c c C C C C C Ci C u U

Somewhat concerned

525 472 285 - - 325 398 444 478 550 541 553 567 547 610 563 832 425 217 208 128 90 105 10226% 23% 14% - - 16% 20% 22% 23% 27% 28% 28% 29% 28% 31% 29% 26% 22% 23% 20% 22% 18% 23% 25%

CFGHR CFG CF CF CFG bCFGHiR BCFGHIR BCFGHIR aBCFGHIR BCFGHIR ABCFGHIJklnQR aBCFGHIR bCFGHiR CF


322 280 189 - - 220 242 259 310 336 316 347 327 319 367 366 510 255 126 130 83 52 58 6216% 14% 9% - - 11% 12% 13% 15% 16% 16% 17% 17% 16% 19% 19% 16% 13% 13% 13% 14% 11% 12% 15%

CFGHr CF C C CFGh bCFGHR CFGHR BCFGHR bCFGHR CFGHR ABCFGHIknqR aBCFGHIqR CFGHR C

Not very concerned

203 192 96 - - 106 156 185 169 214 225 205 239 229 243 197 322 170 92 78 44 38 48 4010% 9% 5% - - 5% 8% 9% 8% 10% 11% 10% 12% 12% 12% 10% 10% 9% 10% 8% 8% 8% 10% 10%

CFG CF CF CF CF CFGi CFGHIR CFGi aBCFGHIpqR bCFGHIR ABCFGHIlpqR CFG CFGi CF


2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?

Healthcare workers (doctors, nurses, supporting staff)


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



1608 1618 1780 - - 1763 1727 1727 1691 1631 1548 1598 1541 1563 1484 1554 2485 1678 793 885 493 420 411 35478% 80% 88% - - 88% 85% 84% 83% 79% 79% 80% 78% 79% 76% 79% 79% 86% 85% 86% 84% 86% 88% 85%

o O ABGHIJKLMNOPQ ABgHIJKLMNOPQ ABJKLMNOPQ ABJKLMNOPQ AbJKlMNOPQ O o O O O o ABiJKLMNOPQ


863 940 1186 - - 1139 1123 1127 1075 977 936 955 907 932 848 906 1445 1024 457 567 302 250 252 22042% 47% 59% - - 57% 55% 55% 53% 47% 48% 48% 46% 47% 43% 46% 46% 52% 49% 55% 51% 51% 54% 53%

Ao ABghIJKLMNOPQR ABiJKLMNOPQR ABJKLMNOPQ ABJKLMNOPQ ABJKLMNOPQ AO AO AO A AO A a ABJKLMNOPQ S

Very concerned

745 678 595 - - 623 605 600 616 655 612 643 634 631 636 649 1040 654 336 317 190 170 158 13536% 34% 29% - - 31% 30% 29% 30% 32% 31% 32% 32% 32% 32% 33% 33% 33% 36% 31% 32% 35% 34% 32%

CFGHIJKLMNOpq CGHi h CgH CgH CgHi t

Somewhat concerned

442 401 243 - - 250 302 323 348 435 413 398 424 406 479 408 676 279 140 139 97 68 54 6022% 20% 12% - - 12% 15% 16% 17% 21% 21% 20% 22% 21% 24% 21% 21% 14% 15% 14% 16% 14% 12% 15%

CFGHIR CFGHiR Cf CF CFr CFGHIR CFGHIR CFGHiR CFGHIR CFGHIR aBCFGHIJkLNPqR CFGHIR CFGHIR


259 235 162 - - 149 189 198 223 264 254 229 254 238 264 251 401 170 78 92 58 39 33 4113% 12% 8% - - 7% 9% 10% 11% 13% 13% 11% 13% 12% 13% 13% 13% 9% 8% 9% 10% 8% 7% 10%

CFGHR CFgR f F CFr CFGHR CFGHR CFgR CFGHR CFGHR CFGHIR CFGHR CFGHR

Not very concerned

183 166 81 - - 102 113 125 125 171 160 168 170 167 214 157 275 109 62 47 39 29 20 209% 8% 4% - - 5% 6% 6% 6% 8% 8% 8% 9% 8% 11% 8% 9% 6% 7% 5% 7% 6% 4% 5%

CFGHIR CFGHIR c C C CFGHIR CFGHiR CFGHIR CFGHIR CFGHIR aBCFGHIJKLmNPQR CFGhiR CFGHIR c


2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 108FR11 How concerned are you about you or your loved one’s risk of being exposed to coronavirus when you leave your home

for essential errands during stay-home orders?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - 2050 2039 2030 1961 1996 1965 1969 1963 1962 3161 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** -** -** -** 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414Weighted Base

- - - - - - - 1646 1632 1543 1510 1528 1498 1500 1427 1491 2428 1579 750 828 476 402 379 322- - - - - - - 80% 80% 75% 77% 77% 76% 76% 73% 76% 77% 81% 80% 81% 81% 82% 82% 78%

JKLMNOPQ JkLMNOPQ O O O O o O JKLMNOPQ


- - - - - - - 856 808 742 719 706 735 764 683 746 1224 867 421 446 277 237 208 145- - - - - - - 42% 40% 36% 37% 35% 37% 39% 35% 38% 39% 44% 45% 44% 47% 48% 45% 35%

JKLMOpq jLO lO o lO IJKLMNOPQ X X x

Very concerned

- - - - - - - 789 823 801 792 822 764 736 744 746 1203 712 329 383 199 165 171 177- - - - - - - 39% 40% 39% 40% 41% 39% 37% 38% 38% 38% 36% 35% 37% 34% 34% 37% 43%

R r noqR uv

Somewhat concerned

- - - - - - - 404 407 523 451 468 467 469 536 471 733 378 183 195 114 86 86 92- - - - - - - 20% 20% 25% 23% 23% 24% 24% 27% 24% 23% 19% 20% 19% 19% 18% 18% 22%

HIR HiR HIR HIR HIR HIKLMNpQR HIR HIR


- - - - - - - 281 289 354 327 336 294 331 352 318 479 244 112 132 90 51 45 58- - - - - - - 14% 14% 17% 17% 17% 15% 17% 18% 16% 15% 12% 12% 13% 15% 10% 10% 14%

HIR HiR HiR r HiR HIMQR hR r vW

Not very concerned

- - - - - - - 123 118 169 123 132 173 138 184 153 255 134 71 64 24 35 41 34- - - - - - - 6% 6% 8% 6% 7% 9% 7% 9% 8% 8% 7% 8% 6% 4% 7% 9% 8%

HIk HIKLnr HIKLNR hI HIk u U u


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 109FR13 How concerned are you about you or your loved one’s risk of accidentally exposing others to coronavirus when you

leave your home for essential errands during stay-home orders?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - 1423 1388 1323 1317 1344 1261 1321 1286 1297 2129 1425 703 722 467 390 311 256- - - - - - - 69% 68% 64% 67% 67% 64% 67% 66% 66% 67% 73% 75% 70% 79% 80% 67% 62%

JMOp JM jm j jm hIJKLMNOPQ t WX WX


- - - - - - - 701 678 628 600 561 604 645 563 647 990 742 390 352 268 217 143 114- - - - - - - 34% 33% 30% 31% 28% 31% 33% 29% 33% 31% 38% 42% 34% 46% 44% 31% 27%

JkLmOq LO LO LO l hIJKLMNOPQ T WX WX

Very concerned

- - - - - - - 721 710 695 716 783 657 677 723 650 1139 683 313 370 198 173 168 143- - - - - - - 35% 35% 34% 37% 39% 33% 34% 37% 33% 36% 35% 34% 36% 34% 35% 36% 34%

p HIJMNPqR jmp

Somewhat concerned

- - - - - - - 627 651 744 644 652 704 648 677 665 1032 532 230 302 123 98 153 158- - - - - - - 31% 32% 36% 33% 33% 36% 33% 34% 34% 33% 27% 25% 30% 21% 20% 33% 38%

r R HIlnqR R R HIlqR R HR hR R s UV UV


- - - - - - - 401 438 457 413 412 426 408 423 415 628 339 136 203 87 61 87 104- - - - - - - 20% 21% 22% 21% 21% 22% 21% 22% 21% 20% 17% 15% 20% 15% 12% 19% 25%

R R R R R R R R S V UV

Not very concerned

- - - - - - - 226 213 287 231 240 278 240 254 250 404 193 94 99 35 37 66 54- - - - - - - 11% 10% 14% 12% 12% 14% 12% 13% 13% 13% 10% 10% 10% 6% 8% 14% 13%

HIR r HIkR r IR iR iR UV Uv


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 110FR12 How concerned are you about the following situations, as it relates to the risk of you/your loved ones being exposed to, or accidentally

exposing others to coronavirus?

Summary Of Very/Somewhat Concerned


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - 1504 1521 1471 1421 1470 1362 1333 1351 1403 2304 1485 687 797 403 382 358 342- - - - - - - 73% 75% 71% 72% 74% 69% 68% 69% 71% 73% 76% 74% 78% 68% 78% 77% 82%

MNO jMNOp n mNo MNO N MNO JkMNOPq U U U

Returning to my normalactivities in public (e.g.,public transit, socializing)

- - - - - - - 1344 1498 1414 1353 1332 1374 1286 1327 1307 2208 1392 637 755 394 357 334 307- - - - - - - 66% 73% 68% 69% 67% 70% 65% 68% 67% 70% 71% 68% 74% 67% 73% 72% 74%

HJKLMNOPQ n hn HlNp HlNp HLNoP s u u

Taking my first flight

- - - - - - - 771 780 689 721 649 698 762 764 747 1170 776 388 388 196 278 194 108- - - - - - - 66% 66% 60% 62% 59% 63% 67% 67% 65% 66% 71% 73% 69% 80% 81% 67% 50%

JL JL JkL JkL JL JL hIJKLMPQ WX WX X

My kids going back toschool for the first time

- - - - - - - 1387 1441 1345 1317 1327 1296 1228 1252 1258 2161 1376 631 745 386 362 334 294- - - - - - - 68% 71% 65% 67% 66% 66% 62% 64% 64% 68% 70% 68% 73% 65% 74% 72% 71%

NOp hJkLMNOP No N n jNOP JLMNOP s U

Leaving my home to go tonon-essential businesses(e.g., bars, hair dressers,etc.)

- - - - - - - 777 767 747 674 612 647 618 699 668 1160 757 424 332 255 288 165 49- - - - - - - 63% 65% 61% 61% 57% 60% 57% 63% 58% 63% 67% 68% 65% 64% 75% 64% 56%

LNp LmNP n n LN LNP JKLMNoP UWX

Going back to the office



4 Jul 2020Table 111FR12 How concerned are you about the following situations, as it relates to the risk of you/your loved ones being exposed to, or accidentally




Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - 458 417 474 422 458 429 471 416 477 667 372 196 176 144 98 91 39- - - - - - - 37% 35% 39% 39% 43% 40% 43% 37% 42% 37% 33% 32% 35% 36% 25% 36% 44%

R R HIOQR iR HIjkOQR r hIQR V V V


- - - - - - - 663 598 721 644 669 669 741 711 704 1000 581 302 279 204 126 130 120- - - - - - - 32% 29% 35% 33% 34% 34% 38% 36% 36% 32% 30% 32% 27% 35% 26% 28% 29%

i IqR i IR IR HIKLmQR HIkQR hIQR t V

Leaving my home to go tonon-essential businesses(e.g., bars, hair dressers,etc.)

- - - - - - - 402 408 459 441 444 409 379 384 401 612 323 147 176 50 67 97 108- - - - - - - 34% 34% 40% 38% 41% 37% 33% 33% 35% 34% 29% 27% 31% 20% 19% 33% 50%

r R HINOPQR noR HINOPQR R R R UV UVW

My kids going back toschool for the first time

- - - - - - - 706 541 652 608 664 591 683 636 655 953 565 296 269 196 131 130 108- - - - - - - 34% 27% 32% 31% 33% 30% 35% 32% 33% 30% 29% 32% 26% 33% 27% 28% 26%

IkMQR I I ImqR I IjkMQR Ir ImqR I t vx


- - - - - - - 546 518 596 540 526 603 636 612 559 857 472 246 227 187 106 106 73- - - - - - - 27% 25% 29% 28% 26% 31% 32% 31% 29% 27% 24% 26% 22% 32% 22% 23% 18%

iR r HIkLQR HIjKLPQR HIkLQR iR r VWX

Returning to my normalactivities in public (e.g.,public transit, socializing)____________________________________________________________________________________________________________Proportions/Means: Columns Tested (5%, 10% risk level) - A/B/C/D/E/F/G/H/I/J/K/L/M/N/O/P/Q/R - S/T - U/V/W/XOverlap formulae used. * small base; ** very small base (under 30) ineligible for sig testing


4 Jul 2020Table 112FR12_1 How concerned are you about the following situations, as it relates to the risk of you/your loved ones being exposed to, or accidentally


Leaving my home to go to non-essential businesses (e.g., bars, hair dressers, etc.)


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - 1387 1441 1345 1317 1327 1296 1228 1252 1258 2161 1376 631 745 386 362 334 294- - - - - - - 68% 71% 65% 67% 66% 66% 62% 64% 64% 68% 70% 68% 73% 65% 74% 72% 71%

NOp hJkLMNOP No N n jNOP JLMNOP s U


- - - - - - - 623 674 582 608 538 547 551 561 559 1009 727 311 416 218 190 158 161- - - - - - - 30% 33% 28% 31% 27% 28% 28% 29% 28% 32% 37% 33% 41% 37% 39% 34% 39%

l JLMNOP Lm JLMNoP HIJKLMNOPQ S

Very concerned

- - - - - - - 764 767 763 708 788 750 676 692 700 1152 649 320 329 168 172 176 134- - - - - - - 37% 38% 37% 36% 39% 38% 34% 35% 36% 36% 33% 34% 32% 28% 35% 38% 32%

R nR r kNOPqR nR r u U

Somewhat concerned

- - - - - - - 663 598 721 644 669 669 741 711 704 1000 581 302 279 204 126 130 120- - - - - - - 32% 29% 35% 33% 34% 34% 38% 36% 36% 32% 30% 32% 27% 35% 26% 28% 29%

i IqR i IR IR HIKLmQR HIkQR hIQR t V


- - - - - - - 403 369 416 395 401 393 429 406 401 556 339 169 170 126 80 68 64- - - - - - - 20% 18% 20% 20% 20% 20% 22% 21% 20% 18% 17% 18% 17% 21% 16% 15% 16%

qr qr qr IQR QR qr W

Not very concerned

- - - - - - - 260 229 305 250 268 276 313 305 303 444 242 134 109 78 46 62 56- - - - - - - 13% 11% 15% 13% 13% 14% 16% 16% 15% 14% 12% 14% 11% 13% 9% 13% 14%

Ir i I HIKlR HIkR HIkR I t


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Returning to my normal activities in public (e.g., public transit, socializing)


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - 1504 1521 1471 1421 1470 1362 1333 1351 1403 2304 1485 687 797 403 382 358 342- - - - - - - 73% 75% 71% 72% 74% 69% 68% 69% 71% 73% 76% 74% 78% 68% 78% 77% 82%

MNO jMNOp n mNo MNO N MNO JkMNOPq U U U


- - - - - - - 691 701 640 653 633 639 637 618 633 1104 786 360 427 221 198 188 179- - - - - - - 34% 34% 31% 33% 32% 33% 32% 32% 32% 35% 40% 39% 42% 38% 41% 40% 43%

j Jlo HIJKLMNOPQ

Very concerned

- - - - - - - 812 819 831 769 837 722 697 733 770 1200 698 328 371 182 184 170 163- - - - - - - 40% 40% 40% 39% 42% 37% 35% 37% 39% 38% 36% 35% 36% 31% 38% 37% 39%

Nr mNR mNR nr MNOQR Nr u u

Somewhat concerned

- - - - - - - 546 518 596 540 526 603 636 612 559 857 472 246 227 187 106 106 73- - - - - - - 27% 25% 29% 28% 26% 31% 32% 31% 29% 27% 24% 26% 22% 32% 22% 23% 18%

iR r HIkLQR HIjKLPQR HIkLQR iR r VWX


- - - - - - - 331 317 348 330 302 350 377 341 297 467 280 150 130 127 60 51 42- - - - - - - 16% 16% 17% 17% 15% 18% 19% 17% 15% 15% 14% 16% 13% 22% 12% 11% 10%

r lpQR HILPQR qR VWX

Not very concerned

- - - - - - - 216 201 248 210 224 254 259 271 263 390 193 96 97 60 46 56 31- - - - - - - 11% 10% 12% 11% 11% 13% 13% 14% 13% 12% 10% 10% 9% 10% 9% 12% 7%

ir hIR HIkR HIKlR HIKlR IR


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma







Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - 1344 1498 1414 1353 1332 1374 1286 1327 1307 2208 1392 637 755 394 357 334 307- - - - - - - 66% 73% 68% 69% 67% 70% 65% 68% 67% 70% 71% 68% 74% 67% 73% 72% 74%

HJKLMNOPQ n hn HlNp HlNp HLNoP s u u


- - - - - - - 785 883 758 820 776 819 730 791 843 1271 891 391 500 238 218 216 219- - - - - - - 38% 43% 37% 42% 39% 42% 37% 40% 43% 40% 46% 42% 49% 40% 45% 46% 53%

HJLNq hJN hJN jn HJLN jn HJkLmNOQ S Uv

Very concerned

- - - - - - - 559 615 656 533 556 554 556 536 465 937 501 246 255 156 139 119 88- - - - - - - 27% 30% 32% 27% 28% 28% 28% 27% 24% 30% 26% 26% 25% 26% 28% 26% 21%

P PR HKLmnOPR p P P P P PR x

Somewhat concerned

- - - - - - - 706 541 652 608 664 591 683 636 655 953 565 296 269 196 131 130 108- - - - - - - 34% 27% 32% 31% 33% 30% 35% 32% 33% 30% 29% 32% 26% 33% 27% 28% 26%

IkMQR I I ImqR I IjkMQR Ir ImqR I t vx


- - - - - - - 259 250 293 261 286 247 280 249 264 392 242 136 106 110 55 45 33- - - - - - - 13% 12% 14% 13% 14% 13% 14% 13% 13% 12% 12% 15% 10% 19% 11% 10% 8%

T VWX

Not very concerned

- - - - - - - 447 291 359 347 378 345 403 387 391 561 323 161 163 86 76 85 75- - - - - - - 22% 14% 17% 18% 19% 18% 20% 20% 20% 18% 17% 17% 16% 15% 16% 18% 18%

IJKlMQR I I I I IJkmqR IR IR I


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





My kids going back to school for the first time

Base: All Respondents Who Are Parent

Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - 1136 1183 1121 1159 1115 1108 1166 1133 1140 1856 1180 578 602 268 504 257 151Unweighted Base-** -** -** -** -** -** -** 1173 1188 1147 1161 1093 1107 1141 1148 1147 1782 1099 535 564 247 345 290 216*Weighted Base

- - - - - - - 771 780 689 721 649 698 762 764 747 1170 776 388 388 196 278 194 108- - - - - - - 66% 66% 60% 62% 59% 63% 67% 67% 65% 66% 71% 73% 69% 80% 81% 67% 50%

JL JL JkL JkL JL JL hIJKLMPQ WX WX X


- - - - - - - 448 475 385 424 365 392 454 435 462 705 478 228 250 114 182 106 76- - - - - - - 38% 40% 34% 36% 33% 35% 40% 38% 40% 40% 43% 43% 44% 46% 53% 36% 35%

jl JLm JLm jl JLm JLm HJKLMO w WX

Very concerned

- - - - - - - 323 305 304 297 283 306 307 329 285 464 298 161 138 83 96 88 31- - - - - - - 28% 26% 26% 26% 26% 28% 27% 29% 25% 26% 27% 30% 24% 33% 28% 30% 15%

p X X X

Somewhat concerned

- - - - - - - 402 408 459 441 444 409 379 384 401 612 323 147 176 50 67 97 108- - - - - - - 34% 34% 40% 38% 41% 37% 33% 33% 35% 34% 29% 27% 31% 20% 19% 33% 50%

r R HINOPQR noR HINOPQR R R R UV UVW


- - - - - - - 110 167 158 153 141 140 149 134 130 204 96 28 67 30 26 23 16- - - - - - - 9% 14% 14% 13% 13% 13% 13% 12% 11% 11% 9% 5% 12% 12% 8% 8% 8%

HR HR HR HR HR HR r r S

Not very concerned

- - - - - - - 291 241 301 287 303 268 230 250 271 408 227 118 109 21 41 73 92- - - - - - - 25% 20% 26% 25% 28% 24% 20% 22% 24% 23% 21% 22% 19% 8% 12% 25% 43%

INr INOR INr INOpQR in UV UVW


- - - - - - - 1173 1188 1147 1161 1093 1107 1141 1148 1147 1782 1099 535 564 247 345 290 216- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma






Base: All Employed Respondents

Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - 1207 1190 1173 1130 1103 1068 1141 1082 1147 1807 1269 662 607 426 540 241 62Unweighted Base-** -** -** -** -** -** -** 1235 1184 1221 1096 1069 1076 1089 1115 1145 1827 1128 620 508 398 386 256 87*Weighted Base

- - - - - - - 777 767 747 674 612 647 618 699 668 1160 757 424 332 255 288 165 49- - - - - - - 63% 65% 61% 61% 57% 60% 57% 63% 58% 63% 67% 68% 65% 64% 75% 64% 56%

LNp LmNP n n LN LNP JKLMNoP UWX


- - - - - - - 341 382 330 312 259 294 306 323 335 530 372 206 166 123 149 66 33- - - - - - - 28% 32% 27% 28% 24% 27% 28% 29% 29% 29% 33% 33% 33% 31% 39% 26% 38%

HJLMn l l L L L HJkLMnq uW

Very concerned

- - - - - - - 436 386 418 361 352 353 311 375 333 630 385 218 166 131 139 99 15- - - - - - - 35% 33% 34% 33% 33% 33% 29% 34% 29% 34% 34% 35% 33% 33% 36% 39% 17%

NP n NP n n n Np NP NP x X X

Somewhat concerned

- - - - - - - 458 417 474 422 458 429 471 416 477 667 372 196 176 144 98 91 39- - - - - - - 37% 35% 39% 39% 43% 40% 43% 37% 42% 37% 33% 32% 35% 36% 25% 36% 44%

R R HIOQR iR HIjkOQR r hIQR V V V


- - - - - - - 231 221 276 209 224 234 238 217 211 366 196 112 83 87 47 46 15- - - - - - - 19% 19% 23% 19% 21% 22% 22% 19% 18% 20% 17% 18% 16% 22% 12% 18% 17%

hiPR r R R V

Not very concerned

- - - - - - - 226 196 198 213 234 195 233 200 266 302 176 83 93 56 51 45 24- - - - - - - 18% 17% 16% 19% 22% 18% 21% 18% 23% 17% 16% 13% 18% 14% 13% 18% 27%

r hIJmoQR IJoQR HIJkMOQR s uV


- - - - - - - 1235 1184 1221 1096 1069 1076 1089 1115 1145 1827 1128 620 508 398 386 256 87- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 117Q33B Once the government provides information that the spread of the virus is flattening how long will it take you to do each

of the following?

Base: Applicable Response

Take publictransportati-

Go to Host/attend on (e.g., Greet peopleFly on a Go to a gym Take a Go out to Visit a Stay in a Go to the a sporting Go to the a large soci- subway, buss- with a hand-

plane class cruise dinner casino hotel office event movies al gathering es, trains) shake

(A) (B) (C) (D) (E) (F) (G) (H) (I) (J) (K) (L)

1631 1354 1411 1869 1340 1747 1357 1487 1695 1709 1399 1824Unweighted Base1610 1285 1359 1864 1333 1717 1247 1459 1646 1666 1362 1805Weighted Base

753 773 472 1383 636 964 988 729 941 944 750 86947% 60% 35% 74% 48% 56% 79% 50% 57% 57% 55% 48%C ACEFHijKL ABCEFHIJKL C ACEHL ABCDEFHIJKL aC ACEHL ACEHL ACEHL C

Up To 6 Months (Net)

475 570 315 1072 420 672 829 503 638 615 537 63529% 44% 23% 57% 32% 39% 66% 34% 39% 37% 39% 35%C ACEFHIJKL ABCEFHIJKL C ACEHL ABCDEFHIJKL ACe ACEHL ACE ACEHL ACE

Up To 3 Months (Sub-Net)

305 357 212 705 257 415 611 305 340 379 341 42719% 28% 16% 38% 19% 24% 49% 21% 21% 23% 25% 24%C ACEFHIJL ABCEFHIJKL C ACEHI ABCDEFHIJKL C C ACE ACEHI ACEhI

Immediately/1-30 Days (Sub-Sub-Net)

158 183 119 338 139 206 337 150 184 184 189 24810% 14% 9% 18% 10% 12% 27% 10% 11% 11% 14% 14%

ACEfHIJ ABCEFHIJKL ACh ABCDEFHIJKL C C ACEHIJ ACEHIJ

Immediately

147 174 93 367 119 208 275 155 156 195 153 1799% 14% 7% 20% 9% 12% 22% 11% 9% 12% 11% 10%C ACEHIL ABCEFHIJKL c ACEIl ABCEFHIJKL C C ACEi C C

1-30 days

169 213 102 367 162 257 217 198 298 236 195 20811% 17% 8% 20% 12% 15% 17% 14% 18% 14% 14% 12%C ACEhL AbCEFHJKL C ACeL ACEHjkL AC ACEFHJKL ACl ACl C

2-3 months

279 203 157 311 216 292 160 226 303 328 213 23517% 16% 12% 17% 16% 17% 13% 15% 18% 20% 16% 13%

CGL Cgl CGL CgL CGL C CGhL BCdefGHKL Cl

4-6 months

254 147 115 192 150 249 70 204 214 220 167 15616% 11% 8% 10% 11% 15% 6% 14% 13% 13% 12% 9%

BCDEGijKL CGL G G CGl BCDEGL bCDeGL CDGL CDGL CGL G

7-11 months

504 226 507 226 415 413 115 423 376 421 298 42031% 18% 37% 12% 31% 24% 9% 29% 23% 25% 22% 23%

BDFGIJKL DG ABDEFGHIJKL G BDFGIJKL BDG BDFGIJKL BDG BDGK BDG BDG

A year or longer

99 139 266 64 132 92 73 103 115 82 148 3606% 11% 20% 3% 10% 5% 6% 7% 7% 5% 11% 20%D ADFGHIJ ABDEFGHIJK ADFGHIJ D D DfJ DfJ D ADFGHIJ ABDEFGHIJK

Never again

317 387 195 734 281 465 492 353 454 431 348 38720% 30% 14% 39% 21% 27% 39% 24% 28% 26% 26% 21%C ACEHJKL ABCEFHIJKL C ACEhL ABCEFHIJKL ACe ACEHL ACEL ACEL C

1 Day To 3 Months (Net)

1610 1285 1359 1864 1333 1717 1247 1459 1646 1666 1362 1805100% 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/1-30 Days

Base: Applicable Response (Variable Bases)

Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - 831 843 731 698 582 644 643 612 515 597 604 586 559 617 981 611 336 275 211 212 145 43- - 63% 63% 59% 56% 47% 52% 49% 46% 43% 50% 48% 49% 46% 51% 49% 49% 51% 47% 44% 56% 56% 33%

eFGHIJKLMNOPQR eFGHIJKLMNOPQR GHIJKLMNOPQR GhIJKLMNOPQR k gJKO K K K K jKo K K UX UX

Go to the office

- - 870 822 807 761 722 795 732 637 568 706 701 727 705 757 1198 705 382 323 242 191 154 118- - 45% 43% 43% 40% 37% 41% 38% 32% 30% 37% 37% 39% 38% 41% 40% 38% 42% 34% 43% 42% 34% 30%

FGHIJKLMNOPQR GIJKLMNOqR GIJKLMNOqR JK JK giJKLm JK JK JK JK JK gJKLm JK JK T WX wX

Go out to dinner

- - 493 480 429 386 359 389 400 379 322 385 367 343 340 382 585 357 234 123 142 130 57 27- - 37% 36% 36% 31% 29% 31% 31% 28% 25% 29% 27% 27% 28% 30% 29% 28% 34% 21% 30% 36% 20% 16%

FGHIJKLMNOPQR fGHIJKLMNOPQR fGHIJKLMNOPQR KmN k Kn KmN k K K T WX WX

Go to a gym class

- - 430 424 343 355 293 311 359 324 279 308 325 302 315 331 539 341 227 114 143 123 50 26- - 32% 32% 29% 27% 22% 24% 27% 23% 20% 23% 24% 24% 25% 25% 25% 25% 31% 18% 29% 33% 17% 13%

FGHIJKLMNOPQR FGHIJKLMNOPQR GHJKLMNopq GJKL K GJKL k k K K K K T WX WX

Take public transportation(e.g., subway, busses,trains)

- - 408 361 312 342 267 295 399 339 322 363 402 383 368 410 675 415 242 172 134 138 90 53- - 24% 21% 19% 20% 15% 17% 22% 19% 19% 21% 23% 22% 22% 24% 24% 24% 28% 20% 26% 32% 22% 15%

EfGHJKl GH G Gh EGHJK G g GH EfGHJK eGHJK eGHjK EFGHJKl DEFGHJKL dEFGHJKl T X WX

Stay in a hotel

- - 592 511 481 407 400 407 401 394 376 376 401 389 399 445 655 427 271 156 147 141 88 51- - 31% 27% 26% 22% 21% 22% 21% 21% 21% 20% 22% 21% 23% 24% 22% 24% 30% 17% 27% 32% 20% 13%

DEFGHIJKLMNOPQR FGHIJKLMNOQr FGHIJKLMNOQ giJKLn jL T wX WX x

Greet people with ahandshake

- - 482 416 417 404 344 356 375 369 305 359 355 362 335 406 614 379 240 139 145 146 67 21- - 28% 25% 25% 24% 20% 21% 22% 21% 18% 21% 21% 22% 20% 24% 22% 23% 29% 17% 27% 35% 17% 7%

dFGHIJKLMNOpQR GHJKLMO GHiJKLMNOq GhjKlmO k K k k K GhJKLmO K K T WX UWX X

Host/attend a large socialgathering

- - 394 339 311 298 221 261 312 293 218 257 294 276 276 302 447 305 211 94 113 114 61 16- - 26% 23% 22% 21% 15% 18% 21% 19% 15% 17% 20% 19% 19% 20% 19% 21% 27% 14% 24% 28% 18% 7%

eFGHIJKLMNOPQR GHJKLnoq GHjKLoq GKL gk GKL GK GK GK GK GKl GK GKL T X WX X

Go to a sporting event

- - 500 420 445 408 346 375 393 359 312 334 392 373 351 401 570 340 221 119 136 125 60 20- - 29% 25% 28% 25% 21% 23% 23% 21% 19% 20% 23% 23% 22% 24% 21% 21% 27% 14% 25% 30% 15% 7%

DFGHIJKLMNOPQR GJKLoQR GHIJKLMNOpQR GJKLqR K Kl Kl K k gjKLr T WX WX X

Go to the movies

- - 312 293 245 257 197 211 270 269 240 255 268 293 274 299 420 257 184 73 92 96 44 26- - 22% 22% 20% 20% 15% 16% 20% 19% 18% 18% 19% 21% 21% 22% 20% 19% 26% 12% 21% 27% 14% 11%

GHjKl GHKl GH Gh GH g g G GHK GHk GHjKl GH Gh T wX WX

Visit a casino

- - 314 298 288 288 199 219 288 259 222 250 283 255 262 299 420 305 213 93 105 100 77 23- - 20% 19% 19% 18% 12% 14% 18% 15% 14% 16% 18% 17% 17% 19% 16% 19% 26% 12% 21% 26% 20% 7%

GHJKLnQ GHJKLq GHJKl GHjKl GHK g G GHK Gk GHK GHJKLq Gk GHJKl T X X X

Fly on a plane

- - 195 159 155 174 138 153 189 184 161 149 203 177 203 203 254 212 165 47 84 89 32 8- - 14% 12% 12% 13% 10% 12% 14% 13% 12% 11% 14% 14% 16% 15% 12% 16% 23% 7% 18% 26% 11% 3%

Gl g Gl Gl Gl DEfGHJKLQ deGHKLQ deGHjKLQ T WX UWX X

Take a cruise




of the following?

Summary Of Up To 3 Months


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - 1040 1030 952 922 853 871 895 859 730 809 833 803 776 814 1330 829 457 371 316 282 178 53- - 79% 77% 76% 74% 69% 70% 69% 65% 60% 67% 66% 67% 65% 67% 67% 66% 69% 64% 66% 74% 69% 40%

FGHIJKLMNOPQR GHIJKLMNOPQR GHIJKLMNOPQR GhIJKLMNOPQR JKO JKmO jKo k K K K K K K X UX X

Go to the office

- - 1336 1321 1271 1238 1214 1230 1250 1135 991 1139 1143 1119 1105 1108 1815 1072 580 492 346 287 234 205- - 70% 69% 68% 65% 63% 64% 64% 57% 53% 60% 61% 60% 60% 60% 60% 57% 64% 51% 62% 63% 52% 52%

FGHIJKLMNOPQR FGHIJKLMNOPQR GHJKLMNOPQR JKLMNOPQR JKlR JKLNopQR JKLmNOPQR K K jK K K K K K T WX WX

Go out to dinner

- - 770 737 688 655 619 635 673 631 535 659 650 594 546 604 959 570 366 205 242 194 83 52- - 58% 55% 58% 53% 49% 50% 52% 46% 41% 49% 48% 46% 45% 47% 47% 44% 52% 35% 51% 53% 30% 30%

FGHIJKLMNOPQR GHJKLMNOPQR fGHIJKLMNOPQR JKlmNOPQR Kr KnOR JKNOPQR K Kr K K K K T WX WX

Go to a gym class

- - 732 672 594 612 513 558 598 540 508 503 596 539 510 539 871 537 350 187 231 193 76 37- - 54% 51% 50% 47% 39% 43% 45% 37% 36% 37% 44% 42% 40% 41% 41% 39% 48% 29% 47% 51% 26% 18%

FGHIJKLMNOPQR GHIJKLMNOPQR GHiJKLMNOPQR GJKLnOPQR gJKL GJKLOpqR GJKLor JKL k k T WX WX


- - 806 737 677 704 623 624 728 667 585 696 738 657 669 708 1161 672 380 292 224 210 137 101- - 47% 43% 41% 41% 36% 36% 41% 37% 34% 40% 43% 38% 40% 41% 42% 39% 45% 34% 43% 48% 33% 29%

dEFGHIJKLmNOPQR GHJKN GHJK GHJK GHJK gK GHJKNr K GhK GHJK GHJKn K T WX WX

Stay in a hotel

- - 920 866 845 821 718 727 767 710 629 687 723 674 664 705 1106 638 380 258 264 214 109 52- - 54% 52% 52% 49% 43% 44% 46% 41% 38% 41% 43% 41% 42% 42% 41% 39% 46% 31% 48% 51% 28% 18%

FGHIJKLMNOPQR GHIJKLMNOPQR GHIJKLMNOPQR GHiJKLMNOPQR Kr KR JKLNoQR Kr k T WX WX X

Go to the movies

- - 919 825 837 760 723 749 756 698 605 676 700 701 658 685 1060 615 365 250 244 219 104 48- - 53% 49% 51% 45% 42% 44% 44% 39% 35% 39% 41% 42% 40% 41% 38% 37% 44% 30% 46% 52% 26% 15%

DFGHIJKLMNOPQR GHIJKLMNOPQR FGHIJKLMNOPQR JKLmOpQR KQR JKLoQR JKLOQR k k Kr KqR K Kr T WX WX X


- - 1016 912 858 715 726 710 703 654 579 703 689 658 666 680 1051 635 392 243 233 208 124 70- - 54% 49% 47% 38% 38% 38% 37% 34% 32% 37% 38% 36% 38% 37% 36% 35% 44% 27% 43% 47% 29% 18%

DEFGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR JK JK jK jK K jK K jK K k T WX WX X


- - 747 656 580 581 496 518 583 553 454 525 529 531 501 512 813 503 343 159 191 183 89 39- - 49% 44% 42% 41% 34% 36% 39% 36% 31% 35% 35% 37% 34% 35% 35% 34% 44% 23% 40% 45% 27% 16%

DEFGHIJKLMNOPQR GHIJKLMNOPQR GHJKLMNOPQR GHJKLMnOPQR K GKLmOPQR K k K K k K T WX WX X


- - 612 536 480 522 424 406 521 469 402 476 520 477 468 490 749 420 293 127 156 146 72 45- - 43% 40% 39% 40% 33% 31% 38% 33% 29% 34% 37% 35% 36% 36% 35% 32% 42% 20% 37% 42% 23% 19%

eGHIJKLMNOPQR GHJKLNopQR GHJKlnqR GHJKLNQR GHJKlR K gHjKR hK HKr HKR hK T WX WX

Visit a casino

- - 642 589 574 568 464 464 543 515 451 492 543 485 508 510 808 475 307 167 173 156 105 41- - 40% 38% 37% 36% 29% 30% 33% 30% 28% 31% 34% 32% 34% 33% 31% 29% 38% 21% 35% 40% 27% 12%

fGHIJKLMNOPQR GHIJKLmNoPQR GHiJKLmNoPQR GHJKLNQR GhKr GhKr k GhKr gK k T wX WX X

Fly on a plane

- - 346 304 276 329 259 282 343 325 275 263 343 295 315 333 451 315 237 77 129 129 43 13- - 25% 23% 22% 25% 20% 22% 25% 22% 20% 19% 24% 23% 25% 25% 21% 23% 33% 12% 28% 38% 14% 5%

GKLQ gkl GKLQ GKLQ gkL l eGhKLQ eGhKLQ gl T WX UWX X

Take a cruise




of the following?

Summary Of 1 Day To 3 Months


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - 602 598 584 544 592 537 577 523 433 490 507 477 499 470 755 492 290 202 217 148 94 32- - 46% 45% 47% 44% 48% 43% 44% 39% 36% 41% 40% 40% 42% 39% 38% 39% 44% 35% 45% 39% 37% 25%

JKLMNoPQR JKmnPQR JKLMNOPQR jKpQr fHJKLMNOPQR KpQ JKmnPQr k K T wX x

Go to the office

- - 1036 1056 1033 945 993 987 958 892 759 842 843 803 797 739 1256 734 388 347 253 192 144 145- - 54% 55% 55% 49% 51% 51% 49% 45% 41% 44% 45% 43% 43% 40% 41% 39% 43% 36% 45% 42% 32% 37%

FIJKLMNOPQR FgHIJKLMNOPQR FghIJKLMNOPQR JKLMNOPQR JKLMNOPQR JKLMNOPQR JKLMNOPQR KPqR kPR KPqR r r T Wx W

Go out to dinner

- - 613 573 512 502 486 493 529 478 392 512 491 435 403 418 635 387 243 144 186 110 51 41- - 47% 43% 43% 41% 39% 39% 41% 35% 30% 38% 37% 34% 33% 32% 31% 30% 35% 24% 40% 30% 18% 24%

FGHIJKLMNOPQR gJKLMNOPQR gJKLMNOPQR JKmNOPQR KNOPQR KNOPQR JKmNOPQR KR KnoPQR KpQR T VWX W

Go to a gym class

- - 771 751 722 671 608 607 639 579 516 551 572 525 514 522 843 454 257 197 198 138 78 41- - 45% 46% 45% 40% 36% 37% 38% 33% 31% 33% 34% 32% 32% 31% 32% 28% 31% 24% 36% 33% 20% 14%

FGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR ghJKLMNOPQR KNOPQR KlNOPQR JKLMNOPQR R r R R R R r R T WX WX

Go to the movies

- - 654 600 568 577 521 520 569 508 440 526 573 470 484 500 827 465 256 209 172 131 88 74- - 38% 35% 35% 34% 30% 30% 32% 28% 25% 30% 33% 28% 29% 29% 30% 27% 30% 24% 33% 30% 21% 21%

fGHIJKLMNOPQR GHJKLNOPQR GHJKLNOPQR ghJKLNOPQR K K JKNR K JKlNOPqR k k K T WX WX

Stay in a hotel

- - 773 707 718 622 615 636 629 553 487 530 558 562 511 485 785 431 236 196 185 146 62 39- - 45% 42% 44% 37% 36% 37% 37% 31% 29% 31% 33% 34% 31% 29% 28% 26% 28% 24% 35% 35% 16% 12%

FGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR JKLMnOPQR JKLOPQR JKLMnOPQR JKLmOPQR R R KpQR KPQR R r WX WX


- - 555 533 474 470 391 440 444 397 368 363 441 407 358 364 611 348 224 124 167 119 39 22- - 41% 40% 40% 36% 30% 34% 34% 28% 26% 27% 32% 32% 28% 28% 29% 26% 31% 19% 34% 32% 13% 11%

FGHIJKLMNOPQR fGHIJKLMNOPQR GHIJKLMNOPQR GJKLnOPQR r gJKLOPQR gJKLOPQR JKLoPqR jKLopR T WX WX


- - 601 538 463 475 406 425 463 414 348 406 385 409 368 375 596 353 232 121 144 116 57 35- - 40% 36% 33% 34% 28% 29% 31% 27% 24% 27% 26% 29% 25% 25% 26% 24% 30% 18% 30% 29% 17% 15%

EFGHIJKLMNOPQR GHIJKLMNOPQR GhJKLMNOPQR GhJKLMNOPQR Kr KmopqR JKLMOPQR KR T WX WX


- - 816 723 681 539 577 548 547 490 394 493 483 470 451 423 709 387 229 157 155 126 72 34- - 43% 39% 37% 29% 30% 29% 29% 25% 22% 26% 27% 26% 25% 23% 24% 21% 26% 17% 29% 28% 17% 9%

DEFGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR jKnoPQR JKLMNOPQR JKnOPQR JKlnOPQR KR KR KpR KR KR T WX WX X


- - 485 433 387 417 351 324 398 350 285 368 387 361 328 338 548 281 194 87 117 92 48 24- - 34% 33% 32% 32% 27% 25% 29% 25% 21% 27% 28% 26% 25% 25% 26% 21% 28% 14% 27% 26% 15% 10%

GHIJKLMNOPQR GHJKLMNOPQR gHJKLmNOPQR GHJKLMNOPQR KR kr HJKopqR k KR KR KR KR Kr KR T WX WX

Visit a casino

- - 516 488 472 446 383 382 423 395 344 372 424 374 364 375 584 317 201 116 126 96 62 33- - 32% 31% 31% 29% 24% 25% 26% 23% 21% 23% 26% 24% 24% 24% 23% 20% 25% 15% 25% 25% 16% 10%

fGHIJKLMNOPQR GHIJKLMNOPQR GHIJKLMNOPQR GhJKLNOPQR R kR KqR r r KQR R R R r T WX WX

Fly on a plane

- - 254 238 205 252 205 223 265 231 202 187 245 226 217 232 315 195 146 49 90 73 24 9- - 18% 18% 16% 19% 16% 17% 19% 16% 15% 14% 17% 17% 17% 18% 15% 14% 20% 8% 20% 21% 8% 3%

KLQR kLQR gjKLQR l eGjKLQR l Lq Lq Lqr T WX WX

Take a cruise




of the following?

Summary Of Up To 6 Months


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - 1145 1169 1088 1067 1028 1042 1077 1031 920 975 1029 941 949 973 1595 988 542 446 374 325 211 79- - 87% 87% 87% 86% 84% 84% 83% 78% 76% 81% 81% 79% 79% 81% 80% 79% 81% 77% 78% 86% 82% 60%

GHIJKLMNOPQR GhIJKLMNOPQR GHIJKLMNOPQR iJKLMNOPQR JKNOQR JKNOQR JKNOqr K jK K k X UX X

Go to the office

- - 1616 1642 1582 1628 1579 1561 1582 1527 1339 1491 1442 1433 1399 1433 2322 1383 715 668 429 348 327 278- - 84% 86% 84% 85% 82% 81% 82% 77% 72% 78% 77% 76% 76% 77% 77% 74% 79% 69% 77% 77% 72% 70%

gHiJKLMNOPQR GHIJKLMNOPQR HJKLMNOPQR GHIJKLMNOPQR JKLMNOPQR JKlMNOPQR JKLMNOPQR K KR K K K Kr K T

Go out to dinner

- - 989 970 864 871 856 830 895 886 765 880 858 807 755 823 1276 773 468 306 320 247 126 81- - 75% 73% 73% 71% 68% 66% 70% 65% 59% 65% 64% 63% 62% 64% 63% 60% 67% 52% 68% 68% 45% 47%

fGHIJKLMNOPQR GHJKLMNOPQR GHJKLMNOPQR HJKLMNOPQR KmNOpQR KR jKlMNOPQR Kr KR K k K k T WX WX

Go to a gym class

- - 1239 1209 1155 1140 1080 1070 1119 1057 928 1011 1051 1012 951 1008 1546 941 536 405 383 286 164 108- - 73% 73% 72% 69% 65% 65% 67% 61% 56% 61% 62% 61% 60% 61% 58% 57% 65% 49% 70% 68% 43% 36%

FGHIJKLMNOPQR FGHIJKLMNOPQR GHIJKLMNOPQR GhJKLMNOPQR jKlOpQR jKlnOpQR JKLMNOPQR Kr Kr KQR Kqr k T WX WX

Go to the movies

- - 1270 1170 1163 1150 1114 1073 1083 1049 959 1060 1036 1012 1014 994 1629 944 514 430 345 302 191 106- - 73% 69% 71% 69% 65% 63% 63% 59% 56% 62% 61% 61% 61% 60% 59% 57% 61% 52% 65% 72% 48% 33%

DFGHIJKLMNOPQR GHIJKLMNOPQR GHIJKLMNOPQR HIJKLMNOPQR JKlMNoPQR JKQR JKQR KR Kr Kr KR k T WX uWX X


- - 1192 1127 1052 1059 992 980 1091 1062 960 1031 1087 993 986 1048 1643 964 511 452 313 282 208 161- - 69% 65% 64% 62% 57% 57% 62% 59% 55% 59% 63% 58% 59% 61% 59% 56% 60% 52% 60% 65% 50% 46%

dEFGHIJKLMNOPQR GHiJKLNOPQR GHJKLNOQR GHjKlnR GHKR GHJKLNoQR k ghKR k T WX WX

Stay in a hotel

- - 952 885 775 841 749 783 834 778 734 725 818 723 742 753 1205 750 465 285 326 250 116 58- - 70% 67% 65% 64% 57% 61% 63% 54% 52% 54% 60% 57% 58% 57% 56% 55% 64% 45% 67% 66% 39% 29%

EFGHIJKLMNOPQR GHJKLMNOPQR GhJKLMNOPQR GJKLNOPQR k JKLnqR GJKLNOPQR JKLqR K k T WX WX


- - 1033 977 862 875 822 806 888 840 717 833 813 821 799 760 1198 729 463 266 286 251 125 66- - 68% 66% 62% 62% 57% 56% 60% 54% 49% 55% 55% 57% 55% 51% 52% 50% 59% 39% 60% 62% 37% 27%

EFGHIJKLMNOPQR GHIJKLMNOPQR GHJKLMNOPQR GHJKLMNOPQR KPQR KpqR hJKLMOPQR Kr KpR Kr KPQR KR T WX WX x


- - 1318 1220 1146 1066 1017 983 988 959 834 964 956 944 935 926 1448 869 517 352 322 277 175 96- - 70% 65% 63% 57% 54% 52% 53% 50% 46% 51% 53% 52% 53% 51% 49% 48% 58% 39% 59% 63% 40% 25%

DEFGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR gHIJKLMNOPQR jKQR Kr KqR k K KqR Kr KqR K T WX WX X


- - 867 792 697 759 669 651 758 742 627 680 786 726 666 695 1085 636 418 219 226 209 113 88- - 62% 60% 57% 58% 52% 50% 56% 52% 46% 49% 56% 53% 52% 52% 51% 48% 60% 34% 53% 60% 36% 37%

eGHIJKLMNOPQR GHJKLNOPQR gHjKLOPQR GHJKLNOPQR Kr HKLopQR K HKLopQR KlR K K K T WX WX

Visit a casino

- - 1000 905 859 882 788 755 853 861 757 794 871 769 761 777 1262 753 451 302 277 231 151 95- - 63% 58% 56% 56% 49% 49% 53% 51% 47% 50% 54% 50% 50% 50% 49% 47% 55% 38% 56% 59% 39% 28%

DEFGHIJKLMNOPQR GHIJKLmNOPQR GHJKLNOPQR GHiJKLNOPQR hKqR kr GHKLnpQR T WX WX X

Fly on a plane

- - 534 487 435 513 425 432 496 495 442 419 544 439 473 487 704 472 336 136 199 178 69 26- - 39% 37% 34% 39% 32% 33% 36% 34% 32% 31% 37% 34% 38% 37% 33% 35% 47% 21% 43% 52% 23% 10%

eGHjKLNQ GhKLQ EGHJKLNQr gkLq GhKLQ GHKLnQ GhKLQ l T WX UWX X

Take a cruise




of the following?

Summary Of Year Or Longer


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - 436 418 411 389 437 448 454 441 487 494 476 445 385 403 747 507 216 291 138 82 152 135- - 32% 32% 32% 30% 33% 34% 33% 30% 35% 36% 33% 34% 31% 31% 35% 37% 30% 46% 30% 24% 50% 53%

Fj FJop CdeFJOP Fj Fjop CDEFgiJmOP S UV UV

Take a cruise

- - 319 359 384 343 447 454 415 464 491 480 389 407 419 415 757 504 197 307 117 96 142 150- - 20% 23% 25% 22% 28% 29% 26% 27% 30% 30% 24% 27% 28% 27% 29% 31% 24% 39% 23% 25% 37% 44%

c C CDFm CDEFiM Cf CDF CDEFIMnp CDEFIMn C CdF CDFm CdF CDEFIM CDEFgIjMNP S UV UV

Fly on a plane

- - 252 281 278 295 334 346 338 350 392 415 316 348 337 355 558 415 162 253 108 78 143 86- - 18% 21% 23% 23% 26% 26% 25% 24% 29% 30% 22% 25% 26% 26% 26% 31% 23% 40% 25% 22% 45% 36%

c C C CDm CDefm Cd C CDEFijM CDEFghIJMNopq C CD CDm CDefm CDefm CDEFGHIJMNOPQ S UV uV

Visit a casino

- - 234 254 269 270 339 356 320 332 410 376 341 324 318 386 611 423 184 239 99 75 135 115- - 15% 17% 19% 19% 23% 25% 22% 21% 28% 25% 23% 23% 22% 26% 26% 29% 24% 35% 21% 18% 40% 47%

C C CDEF CDEFj CD CD CDEFGIJMNO CDEFij CDef CDef CD CDEFIJnO CDEFIJmnO CDEFGHIJlMNO S UV UV


- - 206 240 221 259 309 313 309 380 389 330 315 327 334 358 568 421 187 233 90 64 143 124- - 12% 14% 13% 15% 18% 18% 18% 21% 23% 19% 19% 20% 20% 22% 21% 25% 22% 28% 17% 15% 36% 39%

C CDEf CDEf CDEf CDEFghi CDEFGHILMn CDEF CDEf CDEF CDEF CDEFGhIm CDEF CDEFGHIJLMNOpQ S UV UV


- - 297 318 317 355 407 398 354 417 419 396 335 369 395 389 610 413 152 260 97 81 124 111- - 17% 18% 19% 21% 24% 23% 20% 23% 24% 22% 20% 22% 24% 23% 22% 24% 18% 30% 19% 19% 30% 32%

C CDEIM CDEiM c CDEiM CDEfIM CDem Cd CDEIM CDem CD CDEfIM S UV UV

Stay in a hotel

- - 213 239 286 284 333 341 356 361 368 423 322 363 352 361 613 420 193 226 90 80 118 132- - 11% 13% 16% 15% 18% 18% 19% 19% 20% 22% 18% 20% 20% 20% 21% 23% 22% 25% 17% 18% 27% 34%

CD Cd CD CDf CDEF CDEF CDEF CDEFGHIJM CD CDEF CDEF CDEF CDEFGhm CDEFGHIJMnop UV UV


- - 213 216 221 242 272 311 239 304 362 352 303 318 317 342 549 376 148 228 71 68 137 100- - 13% 13% 14% 15% 16% 19% 14% 18% 22% 21% 18% 19% 20% 21% 21% 23% 18% 28% 13% 16% 36% 34%

CDe CDEFI CDEfI CDEFGhIJM CDEFGIJm CDEFI CDEFgI CDEFGI CDEFGIj CDEFGIj CDEFGHIJMN S UV UV

Go to the movies

- - 189 189 184 187 277 250 217 330 335 331 242 270 263 272 459 298 117 180 58 54 110 77- - 14% 14% 15% 14% 21% 19% 16% 23% 24% 25% 18% 21% 21% 21% 21% 22% 16% 28% 12% 14% 37% 38%

CDEFIm CDEF CDEFhIM CDEFHIM CDEFgHIMnop Cdf CDEFIm CDEFI CDEFI CDEFIm CDEFIM S UV UV


- - 125 163 115 129 181 192 176 214 231 186 218 219 231 210 293 226 88 138 68 49 74 36- - 9% 12% 10% 10% 14% 15% 14% 16% 18% 14% 16% 17% 19% 16% 15% 18% 13% 24% 14% 13% 27% 21%

c CEF CdEF CEf CdEF CDEFgILq CEF CDEF CDEFil CDEFGHIjLQ CDEF CEF CDEFgILq S UV

Go to a gym class

- - 129 121 151 120 172 175 176 218 229 205 187 197 232 222 330 226 79 147 56 43 71 55- - 7% 6% 8% 6% 9% 9% 9% 11% 12% 11% 10% 10% 13% 12% 11% 12% 9% 15% 10% 10% 16% 14%

CDF CDF CDF CDEFg CDEFGHIm CDEF CDF CDEF CDEFGHIM CDEFGHI CDEFg CDEFGHI S UV

Go out to dinner

- - 78 54 55 64 86 90 87 118 104 79 101 116 109 82 145 115 53 61 45 23 25 23- - 6% 4% 4% 5% 7% 7% 7% 9% 9% 7% 8% 10% 9% 7% 7% 9% 8% 11% 9% 6% 10% 17%

d DE DEf DE CDEFl CDEF De DEF CDEFGhILPq CDEFil DE DEf CDEFilp V

Go to the office



4 Jul 2020Table 123Q33B_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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - 1565 1533 1489 1503 1614 1533 1610 1627 1628 1605 1573 1543 1449 1543 2446 1631 758 873 511 543 334 243Unweighted Base-** -** 1599 1558 1532 1562 1606 1553 1625 1689 1620 1604 1606 1535 1509 1556 2574 1610 816 794 496 390 386 338Weighted Base

- - 1000 905 859 882 788 755 853 861 757 794 871 769 761 777 1262 753 451 302 277 231 151 95- - 63% 58% 56% 56% 49% 49% 53% 51% 47% 50% 54% 50% 50% 50% 49% 47% 55% 38% 56% 59% 39% 28%

DEFGHIJKLMNOPQR GHIJKLmNOPQR GHJKLNOPQR GHiJKLNOPQR hKqR kr GHKLnpQR T WX WX X


- - 642 589 574 568 464 464 543 515 451 492 543 485 508 510 808 475 307 167 173 156 105 41- - 40% 38% 37% 36% 29% 30% 33% 30% 28% 31% 34% 32% 34% 33% 31% 29% 38% 21% 35% 40% 27% 12%

fGHIJKLMNOPQR GHIJKLmNoPQR GHiJKLmNoPQR GHJKLNQR GhKr GhKr k GhKr gK k T wX WX X


- - 314 298 288 288 199 219 288 259 222 250 283 255 262 299 420 305 213 93 105 100 77 23- - 20% 19% 19% 18% 12% 14% 18% 15% 14% 16% 18% 17% 17% 19% 16% 19% 26% 12% 21% 26% 20% 7%

GHJKLnQ GHJKLq GHJKl GHjKl GHK g G GHK Gk GHK GHJKLq Gk GHJKl T X X X


- - 126 102 101 123 80 82 120 119 107 120 118 111 144 135 224 158 106 52 48 60 43 7- - 8% 7% 7% 8% 5% 5% 7% 7% 7% 7% 7% 7% 10% 9% 9% 10% 13% 7% 10% 15% 11% 2%

GH GH Gh Gh GH Gh Gh DEGHiJKmn deGHk deGHk DEGHiJKlmN T X UX X

Immediately

- - 188 196 187 166 119 137 168 139 115 130 165 144 118 164 196 147 106 41 57 40 34 15- - 12% 13% 12% 11% 7% 9% 10% 8% 7% 8% 10% 9% 8% 11% 8% 9% 13% 5% 12% 10% 9% 5%

GHJKLnOQr GHJKLNOQR GHJKLNOQR GjKlOQ GKloQ GKoQ k GjKlOQ T X X

1-30 days

- - 327 292 286 280 264 246 255 256 228 242 259 229 246 211 388 169 95 75 68 55 28 18- - 20% 19% 19% 18% 16% 16% 16% 15% 14% 15% 16% 15% 16% 14% 15% 11% 12% 9% 14% 14% 7% 5%

GHIJKLMNOPQR hiJKLNPQR hiJKLNPQR KlnPqR pR R R R R R R R pR R R WX WX

2-3 months

- - 359 316 285 314 324 291 310 347 306 302 328 284 253 267 454 279 144 135 103 75 46 54- - 22% 20% 19% 20% 20% 19% 19% 21% 19% 19% 20% 18% 17% 17% 18% 17% 18% 17% 21% 19% 12% 16%

EHikLNOPQR op o op Opqr Opqr W W

4-6 months

- - 179 217 179 243 260 240 258 232 241 226 234 249 230 259 414 254 121 133 79 55 64 56- - 11% 14% 12% 16% 16% 15% 16% 14% 15% 14% 15% 16% 15% 17% 16% 16% 15% 17% 16% 14% 17% 17%

c CE CE CE CE c CE C Ce CE CE CEj CE CE

7-11 months

- - 319 359 384 343 447 454 415 464 491 480 389 407 419 415 757 504 197 307 117 96 142 150- - 20% 23% 25% 22% 28% 29% 26% 27% 30% 30% 24% 27% 28% 27% 29% 31% 24% 39% 23% 25% 37% 44%

c C CDFm CDEFiM Cf CDF CDEFIMnp CDEFIMn C CdF CDFm CdF CDEFIM CDEFgIjMNP S UV UV

A year or longer

- - 101 78 110 93 111 104 98 132 131 103 112 111 99 105 141 99 47 52 24 8 29 38- - 6% 5% 7% 6% 7% 7% 6% 8% 8% 6% 7% 7% 7% 7% 5% 6% 6% 6% 5% 2% 7% 11%

Dq d DQ DfiQ d Dq v V UV

Never again

- - 516 488 472 446 383 382 423 395 344 372 424 374 364 375 584 317 201 116 126 96 62 33- - 32% 31% 31% 29% 24% 25% 26% 23% 21% 23% 26% 24% 24% 24% 23% 20% 25% 15% 25% 25% 16% 10%

fGHIJKLMNOPQR GHIJKLMNOPQR GHIJKLMNOPQR GhJKLNOPQR R kR KqR r r KQR R R R r T WX WX


- - 1599 1558 1532 1562 1606 1553 1625 1689 1620 1604 1606 1535 1509 1556 2574 1610 816 794 496 390 386 338- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Go to a gym class


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - 1315 1276 1156 1191 1257 1201 1256 1288 1260 1291 1297 1307 1166 1271 1955 1354 685 669 478 501 241 134Unweighted Base-** -** 1319 1330 1190 1232 1261 1263 1286 1364 1306 1348 1344 1286 1213 1288 2020 1285 697 589 470 365 280 171*Weighted Base

- - 989 970 864 871 856 830 895 886 765 880 858 807 755 823 1276 773 468 306 320 247 126 81- - 75% 73% 73% 71% 68% 66% 70% 65% 59% 65% 64% 63% 62% 64% 63% 60% 67% 52% 68% 68% 45% 47%

fGHIJKLMNOPQR GHJKLMNOPQR GHJKLMNOPQR HJKLMNOPQR KmNOpQR KR jKlMNOPQR Kr KR K k K k T WX WX


- - 770 737 688 655 619 635 673 631 535 659 650 594 546 604 959 570 366 205 242 194 83 52- - 58% 55% 58% 53% 49% 50% 52% 46% 41% 49% 48% 46% 45% 47% 47% 44% 52% 35% 51% 53% 30% 30%

FGHIJKLMNOPQR GHJKLMNOPQR fGHIJKLMNOPQR JKlmNOPQR Kr KnOR JKNOPQR K Kr K K K K T WX WX


- - 493 480 429 386 359 389 400 379 322 385 367 343 340 382 585 357 234 123 142 130 57 27- - 37% 36% 36% 31% 29% 31% 31% 28% 25% 29% 27% 27% 28% 30% 29% 28% 34% 21% 30% 36% 20% 16%

FGHIJKLMNOPQR fGHIJKLMNOPQR fGHIJKLMNOPQR KmN k Kn KmN k K K T WX WX


- - 157 164 176 153 134 142 144 153 144 147 159 159 142 186 324 183 122 60 56 84 32 11- - 12% 12% 15% 12% 11% 11% 11% 11% 11% 11% 12% 12% 12% 14% 16% 14% 18% 10% 12% 23% 11% 6%

cGHIJKLmo GhijKL CDFGHIJKLMNO Ghijkl T UWX

Immediately

- - 336 316 253 233 226 247 257 226 178 238 207 184 198 196 261 174 111 63 86 46 25 16- - 25% 24% 21% 19% 18% 20% 20% 17% 14% 18% 15% 14% 16% 15% 13% 14% 16% 11% 18% 13% 9% 9%

EFGHIJKLMNOPQR FGHiJKLMNOPQR JKlMNOPQR KmNpQR KNQR KMNoPQR jKMNoPQR Qr KnQR Q T vWx

1-30 days

- - 278 257 259 269 260 246 273 252 213 274 284 251 206 221 374 213 132 81 100 64 25 25- - 21% 19% 22% 22% 21% 19% 21% 18% 16% 20% 21% 19% 17% 17% 19% 17% 19% 14% 21% 17% 9% 15%

KOPR KOPqR jKOPqR KopR KOPR Kor KOpR t W W

2-3 months

- - 219 233 176 217 237 195 222 255 229 221 208 214 210 219 317 203 102 101 78 53 43 29- - 17% 18% 15% 18% 19% 15% 17% 19% 18% 16% 15% 17% 17% 17% 16% 16% 15% 17% 17% 15% 15% 17%

Ehmq Ehmq

4-6 months

- - 111 115 101 118 120 142 125 135 164 155 147 150 126 137 267 147 80 66 61 42 29 15- - 8% 9% 9% 10% 10% 11% 10% 10% 13% 12% 11% 12% 10% 11% 13% 11% 12% 11% 13% 12% 10% 9%

cde CDEfgi Cde c CDE CDEFGIJop Cde

7-11 months

- - 125 163 115 129 181 192 176 214 231 186 218 219 231 210 293 226 88 138 68 49 74 36- - 9% 12% 10% 10% 14% 15% 14% 16% 18% 14% 16% 17% 19% 16% 15% 18% 13% 24% 14% 13% 27% 21%

c CEF CdEF CEf CdEF CDEFgILq CEF CDEF CDEFil CDEFGHIjLQ CDEF CEF CDEFgILq S UV

A year or longer

- - 94 82 109 114 103 99 91 128 146 127 121 110 100 119 184 139 60 79 21 27 51 40- - 7% 6% 9% 9% 8% 8% 7% 9% 11% 9% 9% 9% 8% 9% 9% 11% 9% 13% 5% 7% 18% 23%

D D cDi CDGHIno cDi D d D D CDgHIo S UV UV

Never again

- - 613 573 512 502 486 493 529 478 392 512 491 435 403 418 635 387 243 144 186 110 51 41- - 47% 43% 43% 41% 39% 39% 41% 35% 30% 38% 37% 34% 33% 32% 31% 30% 35% 24% 40% 30% 18% 24%

FGHIJKLMNOPQR gJKLMNOPQR gJKLMNOPQR JKmNOPQR KNOPQR KNOPQR JKmNOPQR KR KnoPQR KpQR T VWX W


- - 1319 1330 1190 1232 1261 1263 1286 1364 1306 1348 1344 1286 1213 1288 2020 1285 697 589 470 365 280 171- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Take a cruise


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 534 487 435 513 425 432 496 495 442 419 544 439 473 487 704 472 336 136 199 178 69 26- - 39% 37% 34% 39% 32% 33% 36% 34% 32% 31% 37% 34% 38% 37% 33% 35% 47% 21% 43% 52% 23% 10%

eGHjKLNQ GhKLQ EGHJKLNQr gkLq GhKLQ GHKLnQ GhKLQ l T WX UWX X


- - 346 304 276 329 259 282 343 325 275 263 343 295 315 333 451 315 237 77 129 129 43 13- - 25% 23% 22% 25% 20% 22% 25% 22% 20% 19% 24% 23% 25% 25% 21% 23% 33% 12% 28% 38% 14% 5%

GKLQ gkl GKLQ GKLQ gkL l eGhKLQ eGhKLQ gl T WX UWX X


- - 195 159 155 174 138 153 189 184 161 149 203 177 203 203 254 212 165 47 84 89 32 8- - 14% 12% 12% 13% 10% 12% 14% 13% 12% 11% 14% 14% 16% 15% 12% 16% 23% 7% 18% 26% 11% 3%

Gl g Gl Gl Gl DEfGHJKLQ deGHKLQ deGHjKLQ T WX UWX X


- - 92 66 71 77 54 59 79 94 72 76 97 69 98 101 136 119 91 28 39 56 20 5- - 7% 5% 6% 6% 4% 5% 6% 6% 5% 6% 7% 5% 8% 8% 6% 9% 13% 4% 8% 17% 6% 2%

Gh Gh Gh DeGHiKlN DeGHKlN G DEFGHIjKLNQ T X UWX x

Immediately

- - 103 94 85 97 83 94 110 90 89 73 106 108 105 102 119 93 74 19 45 32 12 3- - 7% 7% 7% 7% 6% 7% 8% 6% 6% 5% 7% 8% 8% 8% 5% 7% 10% 3% 10% 10% 4% 1%

lq lq LQ jLQ jLQ lQ T WX WX

1-30 days

- - 151 144 121 155 121 129 154 141 113 114 139 118 112 130 197 102 73 30 45 40 11 5- - 11% 11% 9% 12% 9% 10% 11% 10% 8% 8% 10% 9% 9% 10% 9% 8% 10% 5% 10% 12% 4% 2%

klR klR gKLnoqR r KLR T WX WX

2-3 months

- - 188 184 159 184 166 150 153 169 167 156 201 144 158 154 253 157 99 59 70 50 25 12- - 14% 14% 12% 14% 13% 11% 11% 12% 12% 11% 14% 11% 13% 12% 12% 12% 14% 9% 15% 15% 8% 5%

in in n t WX wX

4-6 months

- - 153 144 139 134 137 125 157 178 174 159 170 165 127 156 292 115 48 66 49 33 12 21- - 11% 11% 11% 10% 10% 10% 11% 12% 13% 12% 12% 13% 10% 12% 13% 8% 7% 10% 11% 10% 4% 8%

r r R hR hR R R HR R eFGHOR s W W

7-11 months

- - 436 418 411 389 437 448 454 441 487 494 476 445 385 403 747 507 216 291 138 82 152 135- - 32% 32% 32% 30% 33% 34% 33% 30% 35% 36% 33% 34% 31% 31% 35% 37% 30% 46% 30% 24% 50% 53%

Fj FJop CdeFJOP Fj Fjop CDEFgiJmOP S UV UV

A year or longer

- - 259 253 291 280 320 295 262 337 285 289 266 251 263 266 421 266 121 145 73 46 72 75- - 19% 19% 23% 21% 24% 23% 19% 23% 21% 21% 18% 19% 21% 20% 19% 20% 17% 23% 16% 14% 24% 29%

CiMnq CDIkMNPQR CiMnq CdIMNQr S uV UV

Never again

- - 254 238 205 252 205 223 265 231 202 187 245 226 217 232 315 195 146 49 90 73 24 9- - 18% 18% 16% 19% 16% 17% 19% 16% 15% 14% 17% 17% 17% 18% 15% 14% 20% 8% 20% 21% 8% 3%

KLQR kLQR gjKLQR l eGjKLQR l Lq Lq Lqr T WX WX


- - 1382 1303 1276 1315 1320 1301 1369 1450 1388 1360 1457 1300 1247 1313 2165 1359 721 638 458 340 304 257- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Go out to dinner


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1616 1642 1582 1628 1579 1561 1582 1527 1339 1491 1442 1433 1399 1433 2322 1383 715 668 429 348 327 278- - 84% 86% 84% 85% 82% 81% 82% 77% 72% 78% 77% 76% 76% 77% 77% 74% 79% 69% 77% 77% 72% 70%

gHiJKLMNOPQR GHIJKLMNOPQR HJKLMNOPQR GHIJKLMNOPQR JKLMNOPQR JKlMNOPQR JKLMNOPQR K KR K K K Kr K T


- - 1336 1321 1271 1238 1214 1230 1250 1135 991 1139 1143 1119 1105 1108 1815 1072 580 492 346 287 234 205- - 70% 69% 68% 65% 63% 64% 64% 57% 53% 60% 61% 60% 60% 60% 60% 57% 64% 51% 62% 63% 52% 52%

FGHIJKLMNOPQR FGHIJKLMNOPQR GHJKLMNOPQR JKLMNOPQR JKlR JKLNopQR JKLmNOPQR K K jK K K K K K T WX WX


- - 870 822 807 761 722 795 732 637 568 706 701 727 705 757 1198 705 382 323 242 191 154 118- - 45% 43% 43% 40% 37% 41% 38% 32% 30% 37% 37% 39% 38% 41% 40% 38% 42% 34% 43% 42% 34% 30%

FGHIJKLMNOPQR GIJKLMNOqR GIJKLMNOqR JK JK giJKLm JK JK JK JK JK gJKLm JK JK T WX wX


- - 300 265 238 293 221 243 292 244 232 298 300 315 308 369 560 338 193 145 93 95 90 59- - 16% 14% 13% 15% 11% 13% 15% 12% 12% 16% 16% 17% 17% 20% 18% 18% 21% 15% 17% 21% 20% 15%

EGHJK g eGHJK eGhJk EGHJK EGHJK DEGHJK dEGHJK CDEFGHIJKLMnO cDEFGHIJKLm DEfGHiJK T

Immediately

- - 571 557 569 468 501 552 439 393 337 408 401 411 397 388 638 367 190 177 149 96 64 59- - 30% 29% 30% 24% 26% 29% 23% 20% 18% 21% 21% 22% 22% 21% 21% 20% 21% 18% 27% 21% 14% 15%

FGIJKLMNOPQR FgIJKLMNOPQR FGIJKLMNOPQR JKlmoPQR iJKLMNOPQR FIJKLMNOPQR jKr K k K K k k WX Wx

1-30 days

- - 466 500 464 477 492 435 518 499 422 433 443 392 399 351 617 367 198 169 104 96 80 87- - 24% 26% 25% 25% 25% 22% 27% 25% 23% 23% 24% 21% 22% 19% 20% 20% 22% 18% 19% 21% 18% 22%

NPQR HKLNOPQR NoPQR NoPQR hlNOPQR P HKLmNOPQR NOPQR P Pr PqR t

2-3 months

- - 280 321 311 390 365 331 332 392 349 352 299 315 294 325 507 311 135 176 83 62 93 73- - 15% 17% 17% 20% 19% 17% 17% 20% 19% 18% 16% 17% 16% 18% 17% 17% 15% 18% 15% 14% 20% 18%

CDEHIMNOpQR CMo c c CdEhiMnOQr Cmo C c uV

4-6 months

- - 125 126 120 133 162 171 162 188 246 188 200 213 182 169 312 192 75 116 49 44 47 52- - 7% 7% 6% 7% 8% 9% 8% 9% 13% 10% 11% 11% 10% 9% 10% 10% 8% 12% 9% 10% 10% 13%

cde CDEf ce CDEF CDEFGHIJLmOPQR CDEF CDEFgi CDEFGHIp CDEF CDEf CDEFgi CDEF s

7-11 months

- - 129 121 151 120 172 175 176 218 229 205 187 197 232 222 330 226 79 147 56 43 71 55- - 7% 6% 8% 6% 9% 9% 9% 11% 12% 11% 10% 10% 13% 12% 11% 12% 9% 15% 10% 10% 16% 14%

CDF CDF CDF CDEFg CDEFGHIm CDEF CDF CDEF CDEFGHIM CDEFGHI CDEFg CDEFGHI S UV

A year or longer

- - 43 21 30 32 18 27 20 52 58 30 53 31 34 27 61 64 33 31 25 18 9 12- - 2% 1% 2% 2% 1% 1% 1% 3% 3% 2% 3% 2% 2% 1% 2% 3% 4% 3% 4% 4% 2% 3%

DGI g DeGHIlP DEFGHILNoPq DEfGHILnP g G dGI cDEFGHILNOPQ w

Never again

- - 1036 1056 1033 945 993 987 958 892 759 842 843 803 797 739 1256 734 388 347 253 192 144 145- - 54% 55% 55% 49% 51% 51% 49% 45% 41% 44% 45% 43% 43% 40% 41% 39% 43% 36% 45% 42% 32% 37%

FIJKLMNOPQR FgHIJKLMNOPQR FghIJKLMNOPQR JKLMNOPQR JKLMNOPQR JKLMNOPQR JKLMNOPQR KPqR kPR KPqR r r T Wx W


- - 1913 1910 1882 1912 1930 1934 1940 1985 1872 1914 1882 1874 1846 1851 3026 1864 902 962 559 454 454 397- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Visit a casino


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 867 792 697 759 669 651 758 742 627 680 786 726 666 695 1085 636 418 219 226 209 113 88- - 62% 60% 57% 58% 52% 50% 56% 52% 46% 49% 56% 53% 52% 52% 51% 48% 60% 34% 53% 60% 36% 37%

eGHIJKLMNOPQR GHJKLNOPQR gHjKLOPQR GHJKLNOPQR Kr HKLopQR K HKLopQR KlR K K K T WX WX


- - 612 536 480 522 424 406 521 469 402 476 520 477 468 490 749 420 293 127 156 146 72 45- - 43% 40% 39% 40% 33% 31% 38% 33% 29% 34% 37% 35% 36% 36% 35% 32% 42% 20% 37% 42% 23% 19%

eGHIJKLMNOPQR GHJKLNopQR GHJKlnqR GHJKLNQR GHJKlR K gHjKR hK HKr HKR hK T WX WX


- - 312 293 245 257 197 211 270 269 240 255 268 293 274 299 420 257 184 73 92 96 44 26- - 22% 22% 20% 20% 15% 16% 20% 19% 18% 18% 19% 21% 21% 22% 20% 19% 26% 12% 21% 27% 14% 11%

GHjKl GHKl GH Gh GH g g G GHK GHk GHjKl GH Gh T wX WX


- - 127 102 93 105 73 82 123 119 117 108 133 116 140 152 201 139 99 39 39 54 25 21- - 9% 8% 8% 8% 6% 6% 9% 8% 9% 8% 9% 8% 11% 11% 9% 10% 14% 6% 9% 15% 8% 9%

GH g g GH Gh Gh g GH Gh DEfGHjLn DEFGHJkLn GH deGHl T UW

Immediately

- - 185 190 152 153 124 129 147 150 123 147 135 178 134 147 219 119 85 34 53 42 19 5- - 13% 14% 12% 12% 10% 10% 11% 10% 9% 11% 10% 13% 10% 11% 10% 9% 12% 5% 12% 12% 6% 2%

GHjKMoQR GHIJKLMOPQR gKmR kr GHKMoqR T WX WX

1-30 days

- - 300 243 235 265 227 195 251 201 161 221 252 184 194 191 329 162 109 54 65 50 29 19- - 21% 18% 19% 20% 18% 15% 18% 14% 12% 16% 18% 13% 15% 14% 15% 12% 16% 8% 15% 14% 9% 8%

gHJKLmNOPQR hJKNoPqR HJKNOPQR HJKLNOPQR JKNpR k hJKNoPqR KR JKNPR k Kr T wx

2-3 months

- - 255 256 217 237 245 245 237 273 225 204 266 249 197 205 336 216 125 92 70 63 41 42- - 18% 19% 18% 18% 19% 19% 17% 19% 16% 15% 19% 18% 15% 15% 16% 16% 18% 14% 16% 18% 13% 18%

l LOPQ l LOPq Lopq LOPQ LoPq Lp

4-6 months

- - 166 151 150 154 170 190 167 203 195 137 171 189 185 157 282 150 65 85 39 42 34 34- - 12% 11% 12% 12% 13% 15% 12% 14% 14% 10% 12% 14% 14% 12% 13% 11% 9% 13% 9% 12% 11% 14%

L cdLpr dLr dLr L dLr L s

7-11 months

- - 252 281 278 295 334 346 338 350 392 415 316 348 337 355 558 415 162 253 108 78 143 86- - 18% 21% 23% 23% 26% 26% 25% 24% 29% 30% 22% 25% 26% 26% 26% 31% 23% 40% 25% 22% 45% 36%

c C C CDm CDefm Cd C CDEFijM CDEFghIJMNopq C CD CDm CDefm CDefm CDEFGHIJMNOPQ S UV uV

A year or longer

- - 125 102 103 92 114 125 94 135 156 150 135 102 104 141 216 132 54 77 54 20 27 31- - 9% 8% 8% 7% 9% 10% 7% 9% 11% 11% 10% 7% 8% 10% 10% 10% 8% 12% 13% 6% 9% 13%

fi fi cDeFgINO DeFINO fi dFINo dFIN fIn S V V

Never again

- - 485 433 387 417 351 324 398 350 285 368 387 361 328 338 548 281 194 87 117 92 48 24- - 34% 33% 32% 32% 27% 25% 29% 25% 21% 27% 28% 26% 25% 25% 26% 21% 28% 14% 27% 26% 15% 10%

GHIJKLMNOPQR GHJKLMNOPQR gHJKLmNOPQR GHJKLMNOPQR KR kr HJKopqR k KR KR KR KR Kr KR T WX WX


- - 1410 1326 1227 1300 1287 1312 1356 1430 1370 1382 1407 1365 1292 1348 2141 1333 699 634 428 349 317 238- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Stay in a hotel


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1192 1127 1052 1059 992 980 1091 1062 960 1031 1087 993 986 1048 1643 964 511 452 313 282 208 161- - 69% 65% 64% 62% 57% 57% 62% 59% 55% 59% 63% 58% 59% 61% 59% 56% 60% 52% 60% 65% 50% 46%

dEFGHIJKLMNOPQR GHiJKLNOPQR GHJKLNOQR GHjKlnR GHKR GHJKLNoQR k ghKR k T WX WX


- - 806 737 677 704 623 624 728 667 585 696 738 657 669 708 1161 672 380 292 224 210 137 101- - 47% 43% 41% 41% 36% 36% 41% 37% 34% 40% 43% 38% 40% 41% 42% 39% 45% 34% 43% 48% 33% 29%

dEFGHIJKLmNOPQR GHJKN GHJK GHJK GHJK gK GHJKNr K GhK GHJK GHJKn K T WX WX


- - 408 361 312 342 267 295 399 339 322 363 402 383 368 410 675 415 242 172 134 138 90 53- - 24% 21% 19% 20% 15% 17% 22% 19% 19% 21% 23% 22% 22% 24% 24% 24% 28% 20% 26% 32% 22% 15%

EfGHJKl GH G Gh EGHJK G g GH EfGHJK eGHJK eGHjK EFGHJKl DEFGHJKL dEFGHJKl T X WX


- - 152 138 109 127 102 104 159 159 145 170 166 186 185 209 334 206 123 83 52 78 49 27- - 9% 8% 7% 7% 6% 6% 9% 9% 8% 10% 10% 11% 11% 12% 12% 12% 15% 10% 10% 18% 12% 8%

eGH gh EGH eGH GH EfGH EfGH cDEFGHjK cDEFGHijK CDEFGHIJKlm CDEFGHIJKlm CDEFGHIJKlm T UwX

Immediately

- - 256 224 203 215 165 190 240 180 177 193 236 197 183 201 342 208 119 90 82 60 41 26- - 15% 13% 12% 13% 10% 11% 14% 10% 10% 11% 14% 12% 11% 12% 12% 12% 14% 10% 16% 14% 10% 7%

GHJKLNOPqr GJk Gj GJk GhJKlo GhJKLo g Gj g t wX X

1-30 days

- - 398 376 365 362 356 329 329 327 263 333 336 274 301 298 486 257 137 120 90 71 47 48- - 23% 22% 22% 21% 21% 19% 19% 18% 15% 19% 20% 16% 18% 17% 18% 15% 16% 14% 17% 17% 11% 14%

HIJKLmNOPQR iJKlNOPQR hIJKlNOPQR jKNoPQR KNPqR KnR KR kr KnR KNR kr w

2-3 months

- - 386 390 375 355 369 356 363 395 374 335 349 336 317 340 482 292 132 161 89 73 71 60- - 22% 23% 23% 21% 21% 21% 20% 22% 22% 19% 20% 20% 19% 20% 17% 17% 15% 19% 17% 17% 17% 17%

loQR LOQR LnOpQR QR QR QR QR lQR QR qr

4-6 months

- - 185 221 211 222 252 291 267 252 269 254 231 287 228 219 410 249 133 116 71 58 62 58- - 11% 13% 13% 13% 15% 17% 15% 14% 16% 14% 13% 17% 14% 13% 15% 15% 16% 13% 14% 13% 15% 17%

c C CDEFJMOP C C Cdep C C CDEFjMOP C C C

7-11 months

- - 297 318 317 355 407 398 354 417 419 396 335 369 395 389 610 413 152 260 97 81 124 111- - 17% 18% 19% 21% 24% 23% 20% 23% 24% 22% 20% 22% 24% 23% 22% 24% 18% 30% 19% 19% 30% 32%

C CDEIM CDEiM c CDEiM CDEfIM CDem Cd CDEIM CDem CD CDEfIM S UV UV

A year or longer

- - 57 59 64 66 80 55 62 79 87 80 64 58 57 70 107 92 53 38 38 13 21 20- - 3% 3% 4% 4% 5% 3% 3% 4% 5% 5% 4% 3% 3% 4% 4% 5% 6% 4% 7% 3% 5% 6%

h cdHino h CDHImNOq V

Never again

- - 654 600 568 577 521 520 569 508 440 526 573 470 484 500 827 465 256 209 172 131 88 74- - 38% 35% 35% 34% 30% 30% 32% 28% 25% 30% 33% 28% 29% 29% 30% 27% 30% 24% 33% 30% 21% 21%

fGHIJKLMNOPQR GHJKLNOPQR GHJKLNOPQR ghJKLNOPQR K K JKNR K JKlNOPqR k k K T WX WX


- - 1731 1725 1644 1702 1731 1724 1773 1810 1735 1761 1717 1707 1666 1725 2770 1717 850 867 520 433 415 350- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Go to the office


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1145 1169 1088 1067 1028 1042 1077 1031 920 975 1029 941 949 973 1595 988 542 446 374 325 211 79- - 87% 87% 87% 86% 84% 84% 83% 78% 76% 81% 81% 79% 79% 81% 80% 79% 81% 77% 78% 86% 82% 60%

GHIJKLMNOPQR GhIJKLMNOPQR GHIJKLMNOPQR iJKLMNOPQR JKNOQR JKNOQR JKNOqr K jK K k X UX X


- - 1040 1030 952 922 853 871 895 859 730 809 833 803 776 814 1330 829 457 371 316 282 178 53- - 79% 77% 76% 74% 69% 70% 69% 65% 60% 67% 66% 67% 65% 67% 67% 66% 69% 64% 66% 74% 69% 40%

FGHIJKLMNOPQR GHIJKLMNOPQR GHIJKLMNOPQR GhIJKLMNOPQR JKO JKmO jKo k K K K K K K X UX X


- - 831 843 731 698 582 644 643 612 515 597 604 586 559 617 981 611 336 275 211 212 145 43- - 63% 63% 59% 56% 47% 52% 49% 46% 43% 50% 48% 49% 46% 51% 49% 49% 51% 47% 44% 56% 56% 33%

eFGHIJKLMNOPQR eFGHIJKLMNOPQR GHIJKLMNOPQR GhIJKLMNOPQR k gJKO K K K K jKo K K UX UX


- - 438 432 368 378 261 334 319 335 297 318 326 326 276 344 576 337 167 170 99 133 83 21- - 33% 32% 30% 30% 21% 27% 25% 25% 25% 26% 26% 27% 23% 28% 29% 27% 25% 29% 21% 35% 32% 16%

GHIJKLMNOPQR GHIJKLMNOR GIjKO GIJKlMO Go g G G GO GikO GIjkO Go UX UX

Immediately

- - 393 411 363 320 321 310 324 277 218 279 278 260 283 274 405 275 169 105 112 79 62 22- - 30% 31% 29% 26% 26% 25% 25% 21% 18% 23% 22% 22% 23% 23% 20% 22% 25% 18% 23% 21% 24% 17%

fgHIJKLMNOPQR FGHIJKLMNOPQR hiJKLMNOPQR JKmnQr JKmNQr jKQ jKQ K k k K K k T

1-30 days

- - 209 188 221 224 271 227 253 246 215 212 229 217 217 196 349 217 121 96 105 70 33 10- - 16% 14% 18% 18% 22% 18% 19% 19% 18% 18% 18% 18% 18% 16% 17% 17% 18% 17% 22% 18% 13% 8%

D D CDEFhjKLmnoPQR D cD D D d D D D D d WX x

2-3 months

- - 105 138 136 145 175 171 182 172 190 166 196 137 173 159 264 160 84 75 57 43 33 26- - 8% 10% 11% 12% 14% 14% 14% 13% 16% 14% 16% 12% 14% 13% 13% 13% 13% 13% 12% 11% 13% 20%

C C CDE CDe CDe Cd CDEFN CDe CDEFN C CDEn Cd Cd C

4-6 months

- - 48 81 63 78 80 73 94 109 133 102 85 92 100 102 182 70 33 37 33 17 15 6- - 4% 6% 5% 6% 7% 6% 7% 8% 11% 8% 7% 8% 8% 8% 9% 6% 5% 6% 7% 5% 6% 5%

C C C C Ce CdEhr CDEFGHIjMNoR CdEfHR C CE CdEhR CdEHR CDEFGHmR c

7-11 months

- - 78 54 55 64 86 90 87 118 104 79 101 116 109 82 145 115 53 61 45 23 25 23- - 6% 4% 4% 5% 7% 7% 7% 9% 9% 7% 8% 10% 9% 7% 7% 9% 8% 11% 9% 6% 10% 17%

d DE DEf DE CDEFl CDEF De DEF CDEFGhILPq CDEFil DE DEf CDEFilp V

A year or longer

- - 44 38 40 32 37 41 41 70 52 50 48 45 44 51 77 73 38 36 28 13 8 24- - 3% 3% 3% 3% 3% 3% 3% 5% 4% 4% 4% 4% 4% 4% 4% 6% 6% 6% 6% 4% 3% 18%

cDEFGhI f f f CDEFGHImnoq UVW

Never again

- - 602 598 584 544 592 537 577 523 433 490 507 477 499 470 755 492 290 202 217 148 94 32- - 46% 45% 47% 44% 48% 43% 44% 39% 36% 41% 40% 40% 42% 39% 38% 39% 44% 35% 45% 39% 37% 25%

JKLMNoPQR JKmnPQR JKLMNOPQR jKpQr fHJKLMNOPQR KpQ JKmnPQr k K T wX x


- - 1315 1342 1247 1241 1230 1246 1300 1327 1209 1206 1263 1193 1202 1208 1999 1247 666 581 479 378 258 132- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?



Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1033 977 862 875 822 806 888 840 717 833 813 821 799 760 1198 729 463 266 286 251 125 66- - 68% 66% 62% 62% 57% 56% 60% 54% 49% 55% 55% 57% 55% 51% 52% 50% 59% 39% 60% 62% 37% 27%

EFGHIJKLMNOPQR GHIJKLMNOPQR GHJKLMNOPQR GHJKLMNOPQR KPQR KpqR hJKLMOPQR Kr KpR Kr KPQR KR T WX WX x


- - 747 656 580 581 496 518 583 553 454 525 529 531 501 512 813 503 343 159 191 183 89 39- - 49% 44% 42% 41% 34% 36% 39% 36% 31% 35% 35% 37% 34% 35% 35% 34% 44% 23% 40% 45% 27% 16%

DEFGHIJKLMNOPQR GHIJKLMNOPQR GHJKLMNOPQR GHJKLMnOPQR K GKLmOPQR K k K K k K T WX WX X


- - 394 339 311 298 221 261 312 293 218 257 294 276 276 302 447 305 211 94 113 114 61 16- - 26% 23% 22% 21% 15% 18% 21% 19% 15% 17% 20% 19% 19% 20% 19% 21% 27% 14% 24% 28% 18% 7%

eFGHIJKLMNOPQR GHJKLnoq GHjKLoq GKL gk GKL GK GK GK GK GKl GK GKL T X WX X


- - 145 118 117 106 90 94 120 138 106 119 144 122 133 137 216 150 112 38 47 67 32 3- - 10% 8% 8% 8% 6% 6% 8% 9% 7% 8% 10% 9% 9% 9% 9% 10% 14% 6% 10% 16% 10% 1%

GHk g Gh GHk Gh GH GH GHk dfGHKl T X UWX X

Immediately

- - 248 221 195 192 131 167 192 154 112 138 150 154 143 164 231 155 99 56 66 47 29 13- - 16% 15% 14% 14% 9% 12% 13% 10% 8% 9% 10% 11% 10% 11% 10% 11% 13% 8% 14% 12% 9% 5%

GHIJKLMNOPQR GHJKLMNOPQR GJKLMNOpQR GJKLMnOQr gKl GJKLmOQ k k K K k K T wX x

1-30 days

- - 353 318 269 283 275 257 271 260 236 267 235 255 225 211 366 198 132 66 78 69 28 23- - 23% 21% 19% 20% 19% 18% 18% 17% 16% 18% 16% 18% 15% 14% 16% 14% 17% 10% 16% 17% 8% 9%

EGHIJKLMNOPQR hJKlMnOPQR kmOPQR jKMOPQR moPqR PR PR r PR PR T Wx Wx

2-3 months

- - 286 321 282 294 326 287 305 287 263 308 284 290 298 248 386 226 120 106 95 68 36 27- - 19% 22% 20% 21% 22% 20% 21% 19% 18% 20% 19% 20% 21% 17% 17% 15% 15% 16% 20% 17% 11% 11%

r kPQR pQR PQR CJKmPQR pqR PQR r PQR r pQR PQR WX w

4-6 months

- - 162 184 163 193 183 177 185 239 216 189 210 193 220 227 331 204 89 115 62 57 48 37- - 11% 12% 12% 14% 13% 12% 12% 15% 15% 13% 14% 13% 15% 15% 14% 14% 11% 17% 13% 14% 14% 15%

C CdEghil Ce C c CdEhi CdEghil C C S

7-11 months

- - 234 254 269 270 339 356 320 332 410 376 341 324 318 386 611 423 184 239 99 75 135 115- - 15% 17% 19% 19% 23% 25% 22% 21% 28% 25% 23% 23% 22% 26% 26% 29% 24% 35% 21% 18% 40% 47%

C C CDEF CDEFj CD CD CDEFGIJMNO CDEFij CDef CDef CD CDEFIJnO CDEFIJmnO CDEFGHIJlMNO S UV UV

A year or longer

- - 91 76 92 70 108 105 91 140 133 108 126 91 115 105 177 103 44 59 26 23 28 27- - 6% 5% 7% 5% 7% 7% 6% 9% 9% 7% 8% 6% 8% 7% 8% 7% 6% 9% 5% 6% 8% 11%

DF dF CDeFIN CDeFIN dF CDFin DF df DF df uv

Never again

- - 601 538 463 475 406 425 463 414 348 406 385 409 368 375 596 353 232 121 144 116 57 35- - 40% 36% 33% 34% 28% 29% 31% 27% 24% 27% 26% 29% 25% 25% 26% 24% 30% 18% 30% 29% 17% 15%

EFGHIJKLMNOPQR GHIJKLMNOPQR GhJKLMNOPQR GhJKLMNOPQR Kr KmopqR JKLMOPQR KR T WX WX


- - 1519 1490 1386 1408 1453 1444 1485 1552 1475 1506 1490 1428 1452 1478 2317 1459 781 679 473 406 336 244- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Go to the movies


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1239 1209 1155 1140 1080 1070 1119 1057 928 1011 1051 1012 951 1008 1546 941 536 405 383 286 164 108- - 73% 73% 72% 69% 65% 65% 67% 61% 56% 61% 62% 61% 60% 61% 58% 57% 65% 49% 70% 68% 43% 36%

FGHIJKLMNOPQR FGHIJKLMNOPQR GHIJKLMNOPQR GhJKLMNOPQR jKlOpQR jKlnOpQR JKLMNOPQR Kr Kr KQR Kqr k T WX WX


- - 920 866 845 821 718 727 767 710 629 687 723 674 664 705 1106 638 380 258 264 214 109 52- - 54% 52% 52% 49% 43% 44% 46% 41% 38% 41% 43% 41% 42% 42% 41% 39% 46% 31% 48% 51% 28% 18%

FGHIJKLMNOPQR GHIJKLMNOPQR GHIJKLMNOPQR GHiJKLMNOPQR Kr KR JKLNoQR Kr k T WX WX X


- - 500 420 445 408 346 375 393 359 312 334 392 373 351 401 570 340 221 119 136 125 60 20- - 29% 25% 28% 25% 21% 23% 23% 21% 19% 20% 23% 23% 22% 24% 21% 21% 27% 14% 25% 30% 15% 7%

DFGHIJKLMNOPQR GJKLoQR GHIJKLMNOpQR GJKLqR K Kl Kl K k gjKLr T WX WX X


- - 149 115 123 150 109 119 128 131 113 136 151 150 150 182 263 184 122 62 66 76 32 11- - 9% 7% 8% 9% 7% 7% 8% 8% 7% 8% 9% 9% 9% 11% 10% 11% 15% 7% 12% 18% 8% 4%

G dGk G dGk dGhK cDEGHIJKL DeGHiJK cDEGHIJKL T X UWX

Immediately

- - 351 305 322 259 236 255 265 228 198 198 241 224 201 219 306 156 99 57 71 49 28 8- - 21% 18% 20% 16% 14% 15% 16% 13% 12% 12% 14% 14% 13% 13% 11% 9% 12% 7% 13% 12% 7% 3%

FGHIJKLMNOPQR fGhJKLMNOPQR FGHIJKLMNOPQR KLoQR QR KLoQR jKLOpQR R r r QR R R R T WX X x

1-30 days

- - 420 446 400 412 372 352 374 351 318 353 331 301 313 303 536 298 158 140 127 89 50 32- - 25% 27% 25% 25% 22% 21% 22% 20% 19% 21% 20% 18% 20% 18% 20% 18% 19% 17% 23% 21% 13% 11%

hJKlMNOPQR GHIJKLMNOPQR hJKlMNOPQR hJKlMNOPQR NPR npr kNPR npr WX WX

2-3 months

- - 319 343 310 319 362 343 352 347 298 324 329 338 286 303 440 303 156 147 120 72 55 56- - 19% 21% 19% 19% 22% 21% 21% 20% 18% 20% 19% 20% 18% 18% 16% 18% 19% 18% 22% 17% 14% 19%

Q q q cKOPQr Q koQ Q q q Q W

4-6 months

- - 170 170 160 206 225 212 240 263 233 209 226 224 243 233 427 214 84 130 63 50 54 47- - 10% 10% 10% 12% 13% 13% 14% 15% 14% 13% 13% 14% 15% 14% 16% 13% 10% 16% 12% 12% 14% 16%

ce CDE CdE CDE CDEfl CDE ce CDE CDE CDEfl CDE CDEFgHLmnR CdE S

7-11 months

- - 213 216 221 242 272 311 239 304 362 352 303 318 317 342 549 376 148 228 71 68 137 100- - 13% 13% 14% 15% 16% 19% 14% 18% 22% 21% 18% 19% 20% 21% 21% 23% 18% 28% 13% 16% 36% 34%

CDe CDEFI CDEfI CDEFGhIJM CDEFGIJm CDEFI CDEFgI CDEFGI CDEFGIj CDEFGIj CDEFGHIJMN S UV UV

A year or longer

- - 75 55 76 70 95 61 75 110 124 88 109 100 84 80 150 115 53 62 27 19 28 41- - 4% 3% 5% 4% 6% 4% 5% 6% 8% 5% 6% 6% 5% 5% 6% 7% 6% 8% 5% 4% 7% 14%

DH CDeFHi CDEFgHILOPq Dh CDeFHi cDfH Dh d DH CDEFHIP UVw

Never again

- - 771 751 722 671 608 607 639 579 516 551 572 525 514 522 843 454 257 197 198 138 78 41- - 45% 46% 45% 40% 36% 37% 38% 33% 31% 33% 34% 32% 32% 31% 32% 28% 31% 24% 36% 33% 20% 14%

FGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR ghJKLMNOPQR KNOPQR KlNOPQR JKLMNOPQR R r R R R R r R T WX WX


- - 1697 1650 1612 1659 1672 1654 1674 1734 1647 1660 1689 1653 1596 1663 2672 1646 821 825 545 422 384 296- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Host/attend a large social gathering


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1270 1170 1163 1150 1114 1073 1083 1049 959 1060 1036 1012 1014 994 1629 944 514 430 345 302 191 106- - 73% 69% 71% 69% 65% 63% 63% 59% 56% 62% 61% 61% 61% 60% 59% 57% 61% 52% 65% 72% 48% 33%

DFGHIJKLMNOPQR GHIJKLMNOPQR GHIJKLMNOPQR HIJKLMNOPQR JKlMNoPQR JKQR JKQR KR Kr Kr KR k T WX uWX X


- - 919 825 837 760 723 749 756 698 605 676 700 701 658 685 1060 615 365 250 244 219 104 48- - 53% 49% 51% 45% 42% 44% 44% 39% 35% 39% 41% 42% 40% 41% 38% 37% 44% 30% 46% 52% 26% 15%

DFGHIJKLMNOPQR GHIJKLMNOPQR FGHIJKLMNOPQR JKLmOpQR KQR JKLoQR JKLOQR k k Kr KqR K Kr T WX WX X


- - 482 416 417 404 344 356 375 369 305 359 355 362 335 406 614 379 240 139 145 146 67 21- - 28% 25% 25% 24% 20% 21% 22% 21% 18% 21% 21% 22% 20% 24% 22% 23% 29% 17% 27% 35% 17% 7%

dFGHIJKLMNOpQR GHJKLMO GHiJKLMNOq GhjKlmO k K k k K GhJKLmO K K T WX UWX X


- - 146 119 119 139 107 114 127 145 118 146 142 139 147 199 275 184 130 54 60 73 42 10- - 8% 7% 7% 8% 6% 7% 7% 8% 7% 8% 8% 8% 9% 12% 10% 11% 16% 7% 11% 17% 11% 3%

G g g G g g Gh CDEFGHIJKLMNO DEGHIK cDEFGHIJKlMN T X UWX X

Immediately

- - 336 297 298 266 236 243 248 224 187 213 213 224 187 206 340 195 110 85 85 74 25 11- - 19% 18% 18% 16% 14% 14% 15% 13% 11% 12% 13% 13% 11% 12% 12% 12% 13% 10% 16% 18% 6% 3%

FGHIJKLMNOPQR GHiJKLMNOPQR GHIJKLMNOPQR JKLMOPQR Ko KOr KOr k WX WX

1-30 days

- - 437 410 420 356 379 393 381 329 300 316 346 339 323 279 446 236 125 111 99 72 37 28- - 25% 24% 26% 21% 22% 23% 22% 19% 18% 18% 20% 20% 20% 17% 16% 14% 15% 13% 19% 17% 9% 9%

FgiJKLMNOPQR JKLMNOPQR FgiJKLMNOPQR KlPQR JKLPQR JKLnOPQR JKLPQR R R R PQR PQR QR WX WX

2-3 months

- - 351 345 326 390 392 324 327 351 354 385 336 311 356 309 569 328 148 180 101 83 87 58- - 20% 20% 20% 23% 23% 19% 19% 20% 21% 22% 20% 19% 22% 19% 21% 20% 18% 22% 19% 20% 22% 18%

eHIjmNPr eHIjmNPr hiNP n

4-6 months

- - 180 203 190 200 223 237 240 251 262 247 242 253 248 227 422 220 93 127 73 42 53 51- - 10% 12% 12% 12% 13% 14% 14% 14% 15% 14% 14% 15% 15% 14% 15% 13% 11% 15% 14% 10% 13% 16%

c Ce Ce Ce CDEF Cef Ce CDEF CDEF C CDEF c s v

7-11 months

- - 206 240 221 259 309 313 309 380 389 330 315 327 334 358 568 421 187 233 90 64 143 124- - 12% 14% 13% 15% 18% 18% 18% 21% 23% 19% 19% 20% 20% 22% 21% 25% 22% 28% 17% 15% 36% 39%

C CDEf CDEf CDEf CDEFghi CDEFGHILMn CDEF CDEf CDEF CDEF CDEFGhIm CDEF CDEFGHIJLMNOpQ S UV UV

A year or longer

- - 73 76 73 69 62 75 76 99 96 83 103 82 53 78 142 82 43 39 22 12 9 38- - 4% 5% 4% 4% 4% 4% 4% 6% 6% 5% 6% 5% 3% 5% 5% 5% 5% 5% 4% 3% 2% 12%

GO GO o CFGhiO O o gO o UVW

Never again

- - 773 707 718 622 615 636 629 553 487 530 558 562 511 485 785 431 236 196 185 146 62 39- - 45% 42% 44% 37% 36% 37% 37% 31% 29% 31% 33% 34% 31% 29% 28% 26% 28% 24% 35% 35% 16% 12%

FGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR JKLMnOPQR JKLOPQR JKLMnOPQR JKLmOPQR R R KpQR KPQR R r WX WX


- - 1729 1689 1647 1678 1708 1699 1708 1778 1706 1720 1697 1673 1649 1658 2761 1666 837 829 530 420 397 319- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Take public transportation (e.g., subway, busses, trains)


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 952 885 775 841 749 783 834 778 734 725 818 723 742 753 1205 750 465 285 326 250 116 58- - 70% 67% 65% 64% 57% 61% 63% 54% 52% 54% 60% 57% 58% 57% 56% 55% 64% 45% 67% 66% 39% 29%

EFGHIJKLMNOPQR GHJKLMNOPQR GhJKLMNOPQR GJKLNOPQR k JKLnqR GJKLNOPQR JKLqR K k T WX WX


- - 732 672 594 612 513 558 598 540 508 503 596 539 510 539 871 537 350 187 231 193 76 37- - 54% 51% 50% 47% 39% 43% 45% 37% 36% 37% 44% 42% 40% 41% 41% 39% 48% 29% 47% 51% 26% 18%

FGHIJKLMNOPQR GHIJKLMNOPQR GHiJKLMNOPQR GJKLnOPQR gJKL GJKLOpqR GJKLor JKL k k T WX WX


- - 430 424 343 355 293 311 359 324 279 308 325 302 315 331 539 341 227 114 143 123 50 26- - 32% 32% 29% 27% 22% 24% 27% 23% 20% 23% 24% 24% 25% 25% 25% 25% 31% 18% 29% 33% 17% 13%

FGHIJKLMNOPQR FGHIJKLMNOPQR GHJKLMNopq GJKL K GJKL k k K K K K T WX WX


- - 177 140 119 141 121 118 153 143 140 140 155 132 151 175 260 189 125 63 63 74 37 15- - 13% 11% 10% 11% 9% 9% 12% 10% 10% 10% 11% 10% 12% 13% 12% 14% 17% 10% 13% 20% 12% 7%

eGHJkln gh dEGHJKln GH dEfGHJKLN T UwX

Immediately

- - 253 285 224 214 172 193 205 181 139 168 170 170 164 156 279 153 102 51 80 49 13 11- - 19% 21% 19% 16% 13% 15% 15% 13% 10% 12% 12% 13% 13% 12% 13% 11% 14% 8% 16% 13% 4% 6%

GHiJKLMNOPQR FGHIJKLMNOPQR GHiJKLMNOPQR gJKLMnOPQR K KpR jKlmPR k K k K T WX Wx

1-30 days

- - 302 248 250 257 219 247 239 216 229 195 272 237 194 208 332 195 122 73 88 71 26 11- - 22% 19% 21% 20% 17% 19% 18% 15% 16% 14% 20% 19% 15% 16% 16% 14% 17% 11% 18% 19% 9% 5%

dGIJKLnOPQR JLoqR GJKLOPQR JLOPQR JLOpQR jLR gJkLOPQR JLoqR T WX WX

2-3 months

- - 219 213 181 229 237 225 237 238 225 222 222 184 232 214 334 213 116 98 95 57 40 21- - 16% 16% 15% 17% 18% 17% 18% 17% 16% 16% 16% 14% 18% 16% 16% 16% 16% 15% 20% 15% 13% 10%

n N n n N x

4-6 months

- - 101 141 107 136 155 125 159 173 192 145 168 159 152 162 266 167 82 85 65 49 29 24- - 7% 11% 9% 10% 12% 10% 12% 12% 14% 11% 12% 12% 12% 12% 12% 12% 11% 13% 13% 13% 10% 12%

C C Ce Ce Ce CdEFHl C CEh CEh Ce CEh CEh CEh

7-11 months

- - 189 189 184 187 277 250 217 330 335 331 242 270 263 272 459 298 117 180 58 54 110 77- - 14% 14% 15% 14% 21% 19% 16% 23% 24% 25% 18% 21% 21% 21% 21% 22% 16% 28% 12% 14% 37% 38%

CDEFIm CDEF CDEFhIM CDEFHIM CDEFgHIMnop Cdf CDEFIm CDEFI CDEFI CDEFIm CDEFIM S UV UV

A year or longer

- - 121 112 124 146 133 136 115 158 137 148 132 127 126 134 211 148 62 86 40 24 41 43- - 9% 8% 10% 11% 10% 10% 9% 11% 10% 11% 10% 10% 10% 10% 10% 11% 9% 13% 8% 6% 14% 21%

di d d S uV UV

Never again

- - 555 533 474 470 391 440 444 397 368 363 441 407 358 364 611 348 224 124 167 119 39 22- - 41% 40% 40% 36% 30% 34% 34% 28% 26% 27% 32% 32% 28% 28% 29% 26% 31% 19% 34% 32% 13% 11%

FGHIJKLMNOPQR fGHIJKLMNOPQR GHIJKLMNOPQR GJKLnOPQR r gJKLOPQR gJKLOPQR JKLoPqR jKLopR T WX WX


- - 1362 1327 1190 1310 1315 1294 1325 1441 1398 1349 1360 1279 1283 1321 2141 1362 727 636 488 377 296 201- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Greet people with a handshake


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1318 1220 1146 1066 1017 983 988 959 834 964 956 944 935 926 1448 869 517 352 322 277 175 96- - 70% 65% 63% 57% 54% 52% 53% 50% 46% 51% 53% 52% 53% 51% 49% 48% 58% 39% 59% 63% 40% 25%

DEFGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR gHIJKLMNOPQR jKQR Kr KqR k K KqR Kr KqR K T WX WX X


- - 1016 912 858 715 726 710 703 654 579 703 689 658 666 680 1051 635 392 243 233 208 124 70- - 54% 49% 47% 38% 38% 38% 37% 34% 32% 37% 38% 36% 38% 37% 36% 35% 44% 27% 43% 47% 29% 18%

DEFGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR JK JK jK jK K jK K jK K k T WX WX X


- - 592 511 481 407 400 407 401 394 376 376 401 389 399 445 655 427 271 156 147 141 88 51- - 31% 27% 26% 22% 21% 22% 21% 21% 21% 20% 22% 21% 23% 24% 22% 24% 30% 17% 27% 32% 20% 13%

DEFGHIJKLMNOPQR FGHIJKLMNOQr FGHIJKLMNOQ giJKLn jL T wX WX x


- - 200 190 176 176 149 162 156 165 185 210 206 188 215 257 342 248 163 85 78 83 51 36- - 11% 10% 10% 9% 8% 9% 8% 9% 10% 11% 11% 10% 12% 14% 12% 14% 18% 9% 14% 19% 12% 9%

Ghij g g GHIJ GHIJ Gi eFGHIJ CDEFGHIJKLmNq fGHIJ CDEFGHIJKlN T WX

Immediately

- - 393 322 305 231 250 245 246 230 191 166 195 201 183 188 313 179 108 71 69 58 37 15- - 21% 17% 17% 12% 13% 13% 13% 12% 11% 9% 11% 11% 10% 10% 11% 10% 12% 8% 13% 13% 9% 4%

DEFGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR Lr KLmOPQR kLmOPQR kLmOPQR L l T X wX x

1-30 days

- - 424 401 377 308 327 302 302 260 203 328 287 269 267 236 396 208 121 87 86 67 35 19- - 22% 21% 21% 17% 17% 16% 16% 14% 11% 17% 16% 15% 15% 13% 13% 12% 14% 10% 16% 15% 8% 5%

FGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR JKPQR JKPQR jKPQR jKPQR k JKnPQR KpqR KR KR k T WX WX

2-3 months

- - 302 307 289 351 291 273 285 304 255 260 267 286 269 246 398 235 125 110 89 68 51 26- - 16% 16% 16% 19% 15% 14% 15% 16% 14% 14% 15% 16% 15% 13% 13% 13% 14% 12% 16% 15% 12% 7%

pqr lPQR qr ceGHIjKLMNOPQR qr qr X X x

4-6 months

- - 162 171 142 158 159 186 176 185 232 174 201 178 177 176 333 156 71 84 56 33 38 29- - 9% 9% 8% 8% 8% 10% 9% 10% 13% 9% 11% 10% 10% 10% 11% 9% 8% 9% 10% 7% 9% 7%

e CDEFGHIJLNOPR CEFGr e e CdEFGlR

7-11 months

- - 213 239 286 284 333 341 356 361 368 423 322 363 352 361 613 420 193 226 90 80 118 132- - 11% 13% 16% 15% 18% 18% 19% 19% 20% 22% 18% 20% 20% 20% 21% 23% 22% 25% 17% 18% 27% 34%

CD Cd CD CDf CDEF CDEF CDEF CDEFGHIJM CD CDEF CDEF CDEF CDEFGhm CDEFGHIJMnop UV UV

A year or longer

- - 195 239 245 351 388 376 359 417 383 331 336 329 309 360 563 360 110 250 75 52 102 131- - 10% 13% 13% 19% 20% 20% 19% 22% 21% 18% 19% 18% 17% 20% 19% 20% 12% 27% 14% 12% 24% 34%

c C CDE CDElo CDE CDE CDEfLmNOq CDELnO CDE CDE CDE CDE CDE CDE CDE S UV UVW

Never again

- - 816 723 681 539 577 548 547 490 394 493 483 470 451 423 709 387 229 157 155 126 72 34- - 43% 39% 37% 29% 30% 29% 29% 25% 22% 26% 27% 26% 25% 23% 24% 21% 26% 17% 29% 28% 17% 9%

DEFGHIJKLMNOPQR FGHIJKLMNOPQR FGHIJKLMNOPQR jKnoPQR JKLMNOPQR JKnOPQR JKlnOPQR KR KR KpR KR KR T WX WX X


- - 1888 1869 1820 1858 1897 1886 1879 1922 1817 1892 1815 1814 1772 1823 2957 1805 892 912 542 442 433 388- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 135Q36 How likely do you think it is that coronavirus (COVID-19) will cause a global recession?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



1578 1629 1730 - - 1731 1683 1713 1710 1727 1677 1675 1647 1584 1604 1625 2659 1671 784 887 481 416 414 36077% 81% 86% - - 86% 83% 84% 84% 84% 86% 84% 84% 80% 82% 83% 84% 85% 84% 87% 81% 85% 89% 87%

A ABgNOp ABGhjNOP An AbN ABN AbN ABgNOp ABN ABN A A A ABNo ABNOp U

Somewhat/Very Likely(Net)

780 869 1046 - - 1042 935 1010 1021 1029 1006 988 976 903 930 920 1605 1029 497 532 286 267 260 21638% 43% 52% - - 52% 46% 49% 50% 50% 51% 49% 50% 46% 47% 47% 51% 53% 53% 52% 49% 55% 56% 52%

A ABGNOP ABGNOP A ABgn ABGN ABgN ABGNoP ABgn ABgn A AB Ab ABGNoP ABGNOP u

Very likely

798 760 684 - - 689 748 703 689 698 671 687 671 681 673 705 1054 642 287 355 194 150 153 14439% 38% 34% - - 34% 37% 34% 34% 34% 34% 34% 34% 35% 34% 36% 33% 33% 31% 35% 33% 31% 33% 35%

CFHIJKLMNOQR CfhIJklmoQR ijQR

Somewhat likely

324 267 164 - - 163 196 163 172 198 168 195 176 222 201 187 307 155 95 59 59 35 32 2816% 13% 8% - - 8% 10% 8% 8% 10% 9% 10% 9% 11% 10% 10% 10% 8% 10% 6% 10% 7% 7% 7%

bCFGHIJKLMNOPQR CFGHIJKLMOPQR h CFHIKmR cfHr h T

Not At All/Not VeryLikely (Net)

255 210 122 - - 120 166 122 128 138 123 151 126 165 140 123 221 101 58 42 38 19 20 2312% 10% 6% - - 6% 8% 6% 6% 7% 6% 8% 6% 8% 7% 6% 7% 5% 6% 4% 6% 4% 4% 6%

CFGHIJKLMNOPQR CFgHIJKLMnOPQR CFHikmpR R CFHIKmPR r r

Not very likely

69 57 42 - - 43 31 40 44 59 45 44 49 57 61 64 86 54 37 17 21 16 12 53% 3% 2% - - 2% 2% 2% 2% 3% 2% 2% 3% 3% 3% 3% 3% 3% 4% 2% 4% 3% 2% 1%

cfGHil G G g G Gh cfGHi G G T

Not at all likely

148 123 129 - - 118 150 175 156 142 117 127 142 163 158 150 194 131 54 77 50 37 19 267% 6% 6% - - 6% 7% 9% 8% 7% 6% 6% 7% 8% 8% 8% 6% 7% 6% 8% 8% 8% 4% 6%

BCFKLQ fk BcFKlQ bcFKlQ f W w

I’m not sure

2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 136Q36A Would you say we are in a global recession due to the coronavirus outbreak?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - 1689 1793 1558 1522 1583 1614 1601 1496 1485 1508 1428 1462 1527 2456 1514 725 790 444 398 367 305- - - 84% 90% 77% 75% 77% 79% 77% 76% 74% 77% 73% 74% 78% 78% 77% 78% 77% 75% 81% 79% 74%

FGHIJKLMNOPQR DFGHIJKLMNOPQR lNo lNo GkLNO lNo N N gLNo gLNO lN uX

Yes

- - - 327 200 455 507 467 425 465 465 511 457 541 501 435 705 443 209 234 146 91 97 109- - - 16% 10% 23% 25% 23% 21% 23% 24% 26% 23% 27% 26% 22% 22% 23% 22% 23% 25% 19% 21% 26%

E DE DEIpq DE DE DE DEi DEfhIjPQr DE DEFHIJKMPQR DEfhIjpQ DE DE DE v V

No

- - - 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 137LI01 Which do you think will have a bigger effect on the life of you and your family?


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 765 696 776 651 750 698 666 655 698 748 692 760 1164 746 395 352 231 206 132 177- - - - 38% 35% 38% 32% 37% 34% 34% 33% 36% 38% 35% 39% 37% 38% 42% 34% 39% 42% 28% 43%

FHJKL fHJKL HL H fHJKL h FHJKLo HjL fHJKL T W W W

Coronavirus/COVID-19itself

- - - - 1228 1317 1253 1399 1289 1369 1295 1341 1267 1221 1271 1202 1997 1211 539 672 359 282 332 238- - - - 62% 65% 62% 68% 63% 66% 66% 67% 64% 62% 65% 61% 63% 62% 58% 66% 61% 58% 72% 57%

EgnPr EGIMNoPQR EGNPqR EGNPR EGINPQR p S UVX

The economic impacts ofthe coronavirus pandemic

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 138LI02 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


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1070 459 611 256 247 282 284- - - - - - - - - - - - - - - - - 55% 49% 60% 43% 51% 61% 69%

S u UV UV

Health insurance

- - - - 1147 1182 1159 1146 1146 1072 1015 1123 1046 1081 1077 1009 1721 977 445 532 278 208 251 240- - - - 58% 59% 57% 56% 56% 52% 52% 56% 53% 55% 55% 51% 54% 50% 48% 52% 47% 43% 54% 58%

JKMPqR JKMnoPQR JKmPR JKPR JKPR JKPR pR pR R V UV

Family life

- - - - 1086 1053 1095 1051 1052 989 958 1017 995 933 1013 977 1605 942 441 501 249 215 228 251- - - - 54% 52% 54% 51% 52% 48% 49% 51% 51% 47% 52% 50% 51% 48% 47% 49% 42% 44% 49% 60%

hJKlmNPQR JkNR JKmNPqR jN jNr n jN n UVW

Eating habits

- - - - 935 999 1016 1100 1017 946 884 996 996 947 1026 899 1610 887 366 521 237 206 223 221- - - - 47% 50% 50% 54% 50% 46% 45% 50% 51% 48% 52% 46% 51% 45% 39% 51% 40% 42% 48% 53%

JKpR JKPR EFgiJKlNPR JKPR JKPR eJKPR EJKNPR EJKPR S u UV

Personal hygiene

- - - - - - - - - - - - - - - - - 828 385 443 220 193 211 205- - - - - - - - - - - - - - - - - 42% 41% 43% 37% 39% 46% 49%

U UV

Healthcare

- - - - 1031 1027 944 954 913 883 910 954 890 903 931 885 1395 816 357 459 180 165 217 254- - - - 52% 51% 47% 47% 45% 43% 46% 48% 45% 46% 47% 45% 44% 42% 38% 45% 31% 34% 47% 61%

GHIJKLMNOPQR GHIJKMNoPQR JR jR jR JqR r R JqR S UV UVW

Work life

- - - - 823 748 802 742 742 634 638 659 662 658 754 633 1185 652 318 335 176 155 169 151- - - - 41% 37% 40% 36% 36% 31% 33% 33% 34% 33% 38% 32% 37% 33% 34% 33% 30% 32% 36% 36%

FHIJKLMNPQR JKLmNPr hiJKLMNPR JklP JKlP JKLMNPR JKLMNPR

Shopping habits

- - - - 742 680 718 708 656 628 613 622 662 647 733 614 994 535 255 279 152 136 124 123- - - - 37% 34% 35% 35% 32% 30% 31% 31% 34% 33% 37% 31% 31% 27% 27% 27% 26% 28% 27% 30%

fIJKLmNPQR jR iJKLPQR JklpqR R R R jR R fIJKLmNPQR R R

Social activity

- - - - 684 622 692 617 586 543 526 542 579 583 661 595 924 530 262 268 156 153 108 114- - - - 34% 31% 34% 30% 29% 26% 27% 27% 29% 30% 34% 30% 29% 27% 28% 26% 26% 31% 23% 27%

fHIJKLMNPQR JKLR fHIJKLMNPQR Jkl j j hIJKLMNpQR Jklr j W

Travel/vacation





Summary Of Somewhat Different


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 723 817 815 792 827 880 784 835 718 778 733 828 1285 867 406 461 251 188 209 219- - - - 36% 41% 40% 39% 41% 43% 40% 42% 37% 40% 37% 42% 41% 44% 44% 45% 43% 39% 45% 53%

EMo Em EMo EHMO em EhMO e EhMO EMo EfGHiKMNOq UV

Social activity

- - - - 717 775 797 863 811 927 786 890 810 839 759 876 1236 819 361 458 254 187 189 189- - - - 36% 38% 39% 42% 40% 45% 40% 45% 41% 43% 39% 45% 39% 42% 39% 45% 43% 38% 41% 46%

e Efo E EFGIKmOQ E EFGIKmOQ E EFgOq EFGIKmOQ e E s

Shopping habits

- - - - 680 721 707 751 751 783 674 727 670 717 683 729 1143 761 340 421 236 166 181 177- - - - 34% 36% 35% 37% 37% 38% 34% 36% 34% 36% 35% 37% 36% 39% 36% 41% 40% 34% 39% 43%

Ekm EGKMO v

Travel/vacation

- - - - - - - - - - - - - - - - - 713 329 384 216 169 171 157- - - - - - - - - - - - - - - - - 36% 35% 37% 37% 35% 37% 38%

Healthcare

- - - - 584 612 641 671 651 688 668 668 618 684 613 653 1026 682 320 362 219 165 171 127- - - - 29% 30% 32% 33% 32% 33% 34% 33% 31% 35% 31% 33% 32% 35% 34% 35% 37% 34% 37% 31%

e E Ef E EFgmo E e EFgmo

Eating habits

- - - - 540 516 557 632 586 606 628 587 584 556 565 682 952 636 297 339 194 184 125 134- - - - 27% 26% 27% 31% 29% 29% 32% 29% 30% 28% 29% 35% 30% 33% 32% 33% 33% 38% 27% 32%

EFg f F EFGiNo F F f EFGHIJLMNOQ eF EFGijNo W

Family life

- - - - 557 548 643 630 688 705 612 624 619 593 624 663 1005 633 308 326 226 186 129 92- - - - 28% 27% 32% 31% 34% 34% 31% 31% 31% 30% 32% 34% 32% 32% 33% 32% 38% 38% 28% 22%

EF F EFN EFhN eF eF eF EF EFN EF EF WX WX

Work life

- - - - 584 553 588 536 545 620 570 593 561 539 522 572 904 576 294 281 179 145 122 129- - - - 29% 27% 29% 26% 27% 30% 29% 30% 29% 27% 27% 29% 29% 29% 32% 27% 30% 30% 26% 31%

h Hio Hio h h

Personal hygiene

- - - - - - - - - - - - - - - - - 564 294 270 212 147 114 92- - - - - - - - - - - - - - - - - 29% 32% 26% 36% 30% 25% 22%

t WX x

Health insurance





Summary Of Very Different


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 630 670 631 681 702 741 761 727 716 669 619 638 1095 666 332 335 198 169 176 124- - - - 32% 33% 31% 33% 34% 36% 39% 36% 36% 34% 32% 33% 35% 34% 36% 33% 34% 35% 38% 30%

g EGOp EFGHINOPQR EfGhOP EGhOP eGo x

Travel/vacation

- - - - 528 516 496 549 556 559 564 538 584 544 498 519 881 555 272 283 187 164 131 73- - - - 26% 26% 24% 27% 27% 27% 29% 27% 30% 28% 25% 26% 28% 28% 29% 28% 32% 34% 28% 18%

g fGo eFGOp g G G X X X

Social activity

- - - - 405 438 441 466 438 479 438 419 456 474 409 414 761 507 268 239 184 137 118 69- - - - 20% 22% 22% 23% 21% 23% 22% 21% 23% 24% 21% 21% 24% 26% 29% 23% 31% 28% 25% 17%

e e Elop EiLOp EFGhIkLOP T X X X

Work life

- - - - 474 461 425 414 476 501 507 407 408 483 414 491 647 494 272 222 173 137 120 65- - - - 24% 23% 21% 20% 23% 24% 26% 20% 21% 25% 21% 25% 20% 25% 29% 22% 29% 28% 26% 16%

gHLmQ h hlq GHLMoQ fGHLMOQ GHLMOQ GHLMOQ GHLMOQ T X X X

Personal hygiene

- - - - 453 490 430 446 487 506 537 447 493 473 449 453 740 486 254 232 160 146 106 74- - - - 23% 24% 21% 22% 24% 24% 27% 22% 25% 24% 23% 23% 23% 25% 27% 23% 27% 30% 23% 18%

g Gh EfGHILnOPQ GH g Gh t X wX

Shopping habits

- - - - - - - - - - - - - - - - - 415 218 197 154 126 82 52- - - - - - - - - - - - - - - - - 21% 23% 19% 26% 26% 18% 13%

WX WX

Healthcare

- - - - 306 316 313 272 306 389 317 286 335 331 322 270 488 343 191 153 118 97 89 40- - - - 15% 16% 15% 13% 15% 19% 16% 14% 17% 17% 16% 14% 15% 18% 20% 15% 20% 20% 19% 10%

h EFGHIkLPQ H HlP HlP Hp h HLP T X X X

Family life

- - - - 323 348 293 329 336 390 335 311 352 352 337 332 530 332 172 161 122 108 65 37- - - - 16% 17% 14% 16% 16% 19% 17% 16% 18% 18% 17% 17% 17% 17% 18% 16% 21% 22% 14% 9%

G eGhL g G G g g g g WX WX

Eating habits

- - - - - - - - - - - - - - - - - 322 180 143 122 94 68 38- - - - - - - - - - - - - - - - - 16% 19% 14% 21% 19% 15% 9%

T wX X x

Health insurance



4 Jul 2020Table 141LI02_1 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will be


Shopping habits


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 823 748 802 742 742 634 638 659 662 658 754 633 1185 652 318 335 176 155 169 151- - - - 41% 37% 40% 36% 36% 31% 33% 33% 34% 33% 38% 32% 37% 33% 34% 33% 30% 32% 36% 36%

FHIJKLMNPQR JKLmNPr hiJKLMNPR JklP JKlP JKLMNPR JKLMNPR

Mostly the same

- - - - 717 775 797 863 811 927 786 890 810 839 759 876 1236 819 361 458 254 187 189 189- - - - 36% 38% 39% 42% 40% 45% 40% 45% 41% 43% 39% 45% 39% 42% 39% 45% 43% 38% 41% 46%

e Efo E EFGIKmOQ E EFGIKmOQ E EFgOq EFGIKmOQ e E s

Somewhat different

- - - - 453 490 430 446 487 506 537 447 493 473 449 453 740 486 254 232 160 146 106 74- - - - 23% 24% 21% 22% 24% 24% 27% 22% 25% 24% 23% 23% 23% 25% 27% 23% 27% 30% 23% 18%

g Gh EfGHILnOPQ GH g Gh t X wX

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Eating habits


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 1086 1053 1095 1051 1052 989 958 1017 995 933 1013 977 1605 942 441 501 249 215 228 251- - - - 54% 52% 54% 51% 52% 48% 49% 51% 51% 47% 52% 50% 51% 48% 47% 49% 42% 44% 49% 60%

hJKlmNPQR JkNR JKmNPqR jN jNr n jN n UVW

Mostly the same

- - - - 584 612 641 671 651 688 668 668 618 684 613 653 1026 682 320 362 219 165 171 127- - - - 29% 30% 32% 33% 32% 33% 34% 33% 31% 35% 31% 33% 32% 35% 34% 35% 37% 34% 37% 31%

e E Ef E EFgmo E e EFgmo

Somewhat different

- - - - 323 348 293 329 336 390 335 311 352 352 337 332 530 332 172 161 122 108 65 37- - - - 16% 17% 14% 16% 16% 19% 17% 16% 18% 18% 17% 17% 17% 17% 18% 16% 21% 22% 14% 9%

G eGhL g G G g g g g WX WX

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Social activity


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 742 680 718 708 656 628 613 622 662 647 733 614 994 535 255 279 152 136 124 123- - - - 37% 34% 35% 35% 32% 30% 31% 31% 34% 33% 37% 31% 31% 27% 27% 27% 26% 28% 27% 30%

fIJKLmNPQR jR iJKLPQR JklpqR R R R jR R fIJKLmNPQR R R

Mostly the same

- - - - 723 817 815 792 827 880 784 835 718 778 733 828 1285 867 406 461 251 188 209 219- - - - 36% 41% 40% 39% 41% 43% 40% 42% 37% 40% 37% 42% 41% 44% 44% 45% 43% 39% 45% 53%

EMo Em EMo EHMO em EhMO e EhMO EMo EfGHiKMNOq UV

Somewhat different

- - - - 528 516 496 549 556 559 564 538 584 544 498 519 881 555 272 283 187 164 131 73- - - - 26% 26% 24% 27% 27% 27% 29% 27% 30% 28% 25% 26% 28% 28% 29% 28% 32% 34% 28% 18%

g fGo eFGOp g G G X X X

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Travel/vacation


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 684 622 692 617 586 543 526 542 579 583 661 595 924 530 262 268 156 153 108 114- - - - 34% 31% 34% 30% 29% 26% 27% 27% 29% 30% 34% 30% 29% 27% 28% 26% 26% 31% 23% 27%

fHIJKLMNPQR JKLR fHIJKLMNPQR Jkl j j hIJKLMNpQR Jklr j W

Mostly the same

- - - - 680 721 707 751 751 783 674 727 670 717 683 729 1143 761 340 421 236 166 181 177- - - - 34% 36% 35% 37% 37% 38% 34% 36% 34% 36% 35% 37% 36% 39% 36% 41% 40% 34% 39% 43%

Ekm EGKMO v

Somewhat different

- - - - 630 670 631 681 702 741 761 727 716 669 619 638 1095 666 332 335 198 169 176 124- - - - 32% 33% 31% 33% 34% 36% 39% 36% 36% 34% 32% 33% 35% 34% 36% 33% 34% 35% 38% 30%

g EGOp EFGHINOPQR EfGhOP EGhOP eGo x

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Work life


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 1031 1027 944 954 913 883 910 954 890 903 931 885 1395 816 357 459 180 165 217 254- - - - 52% 51% 47% 47% 45% 43% 46% 48% 45% 46% 47% 45% 44% 42% 38% 45% 31% 34% 47% 61%

GHIJKLMNOPQR GHIJKMNoPQR JR jR jR JqR r R JqR S UV UVW

Mostly the same

- - - - 557 548 643 630 688 705 612 624 619 593 624 663 1005 633 308 326 226 186 129 92- - - - 28% 27% 32% 31% 34% 34% 31% 31% 31% 30% 32% 34% 32% 32% 33% 32% 38% 38% 28% 22%

EF F EFN EFhN eF eF eF EF EFN EF EF WX WX

Somewhat different

- - - - 405 438 441 466 438 479 438 419 456 474 409 414 761 507 268 239 184 137 118 69- - - - 20% 22% 22% 23% 21% 23% 22% 21% 23% 24% 21% 21% 24% 26% 29% 23% 31% 28% 25% 17%

e e Elop EiLOp EFGhIkLOP T X X X

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Family life


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 1147 1182 1159 1146 1146 1072 1015 1123 1046 1081 1077 1009 1721 977 445 532 278 208 251 240- - - - 58% 59% 57% 56% 56% 52% 52% 56% 53% 55% 55% 51% 54% 50% 48% 52% 47% 43% 54% 58%

JKMPqR JKMnoPQR JKmPR JKPR JKPR JKPR pR pR R V UV

Mostly the same

- - - - 540 516 557 632 586 606 628 587 584 556 565 682 952 636 297 339 194 184 125 134- - - - 27% 26% 27% 31% 29% 29% 32% 29% 30% 28% 29% 35% 30% 33% 32% 33% 33% 38% 27% 32%

EFg f F EFGiNo F F f EFGHIJLMNOQ eF EFGijNo W

Somewhat different

- - - - 306 316 313 272 306 389 317 286 335 331 322 270 488 343 191 153 118 97 89 40- - - - 15% 16% 15% 13% 15% 19% 16% 14% 17% 17% 16% 14% 15% 18% 20% 15% 20% 20% 19% 10%

h EFGHIkLPQ H HlP HlP Hp h HLP T X X X

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Personal hygiene


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - 935 999 1016 1100 1017 946 884 996 996 947 1026 899 1610 887 366 521 237 206 223 221- - - - 47% 50% 50% 54% 50% 46% 45% 50% 51% 48% 52% 46% 51% 45% 39% 51% 40% 42% 48% 53%

JKpR JKPR EFgiJKlNPR JKPR JKPR eJKPR EJKNPR EJKPR S u UV

Mostly the same

- - - - 584 553 588 536 545 620 570 593 561 539 522 572 904 576 294 281 179 145 122 129- - - - 29% 27% 29% 26% 27% 30% 29% 30% 29% 27% 27% 29% 29% 29% 32% 27% 30% 30% 26% 31%

h Hio Hio h h

Somewhat different

- - - - 474 461 425 414 476 501 507 407 408 483 414 491 647 494 272 222 173 137 120 65- - - - 24% 23% 21% 20% 23% 24% 26% 20% 21% 25% 21% 25% 20% 25% 29% 22% 29% 28% 26% 16%

gHLmQ h hlq GHLMoQ fGHLMOQ GHLMOQ GHLMOQ GHLMOQ T X X X

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 1962 3161 1957 933 1024 590 488 464 414- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Healthcare


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 828 385 443 220 193 211 205- - - - - - - - - - - - - - - - - 42% 41% 43% 37% 39% 46% 49%

U UV

Mostly the same

- - - - - - - - - - - - - - - - - 713 329 384 216 169 171 157- - - - - - - - - - - - - - - - - 36% 35% 37% 37% 35% 37% 38%

Somewhat different

- - - - - - - - - - - - - - - - - 415 218 197 154 126 82 52- - - - - - - - - - - - - - - - - 21% 23% 19% 26% 26% 18% 13%

WX WX

Very different

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma





Health insurance


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - - - - - - - - - - - - - - - - 1070 459 611 256 247 282 284- - - - - - - - - - - - - - - - - 55% 49% 60% 43% 51% 61% 69%

S u UV UV

Mostly the same

- - - - - - - - - - - - - - - - - 564 294 270 212 147 114 92- - - - - - - - - - - - - - - - - 29% 32% 26% 36% 30% 25% 22%

t WX x

Somewhat different

- - - - - - - - - - - - - - - - - 322 180 143 122 94 68 38- - - - - - - - - - - - - - - - - 16% 19% 14% 21% 19% 15% 9%

T wX X x

Very different

- - - - - - - - - - - - - - - - - 1957 933 1024 590 488 464 414- - - - - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100%

Sigma



4 Jul 2020Table 150Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Summary Of More Positive


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - 2023 2016 - 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 - - 1957 842 1115 609 635 413 300Unweighted Base-** -** 2023 2016 -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 -** -** 1957 933 1024 590 488 464 414Weighted Base

- - 1095 1253 - 1302 1230 1217 1257 1199 1135 1169 1179 1197 980 - - 1209 578 631 343 292 285 290- - 54% 62% - 65% 61% 59% 62% 58% 58% 59% 60% 61% 50% - - 62% 62% 62% 58% 60% 61% 70%

O CJKlO CGHJKLMNO CO CO CjkO CO cO CO CO CO CjkO UVw

Healthcare(Doctors/Nurses/Hospital)

- - 828 966 - 1073 1042 993 1004 937 892 953 1008 948 816 - - 943 467 476 273 246 221 204- - 41% 48% - 53% 51% 48% 49% 45% 45% 48% 51% 48% 42% - - 48% 50% 47% 46% 50% 48% 49%

CO CDHIJKLNOR CdJKlO CO CJkO Co Co CO CdJKlO CO CO

Retail - grocery

- - 752 826 - 904 883 921 858 863 767 849 839 904 717 - - 916 461 455 285 242 195 194- - 37% 41% - 45% 44% 45% 42% 42% 39% 43% 43% 46% 37% - - 47% 49% 44% 48% 50% 42% 47%

cO CdKO CKO CDKO CO CO CkO CkO CDiJKlO CDIJKLmO w

Small Businesses

- - 618 739 - 819 767 775 805 765 700 740 751 802 618 - - 830 439 391 276 228 182 145- - 31% 37% - 41% 38% 38% 39% 37% 36% 37% 38% 41% 32% - - 42% 47% 38% 47% 47% 39% 35%

CO CDjKlO CO CO CkO CO CO CO CO CDjKlO CDGHJKLMO T wX wX

Technology

- - 632 753 - 862 817 768 751 771 670 713 776 761 630 - - 769 406 363 275 226 153 115- - 31% 37% - 43% 40% 37% 37% 37% 34% 36% 40% 39% 32% - - 39% 43% 35% 47% 46% 33% 28%

CO CDHIJKLmNOr CiKLO CkO CO CO Co CKlO CKO CKlO T WX WX

Food & Beverage

- - 671 779 - 797 744 703 790 761 731 669 756 768 691 - - 755 397 358 240 220 157 137- - 33% 39% - 40% 37% 34% 39% 37% 37% 34% 38% 39% 35% - - 39% 43% 35% 41% 45% 34% 33%

CHLo CHLO cl CHLo cl Cl CHLo CHLO CHLo T wx WX

Pharmaceutical/drugs

- - 612 757 - 819 766 758 780 724 699 702 755 753 634 - - 753 418 334 249 186 177 141- - 30% 38% - 41% 38% 37% 38% 35% 36% 35% 38% 38% 32% - - 38% 45% 33% 42% 38% 38% 34%

CO ChJKLO CO CO CjO C Co C CjlO CjO CjO T x

Restaurants

- - 597 674 - 764 711 713 727 729 593 676 722 699 540 - - 716 351 365 232 188 160 136- - 29% 33% - 38% 35% 35% 36% 35% 30% 34% 37% 36% 28% - - 37% 38% 36% 39% 38% 35% 33%

CkO CDhKLO CKO CKO CKO CKO CkO CdKO CKO CKO

Non-profits

- - - - - - - 679 688 674 652 605 667 657 570 - - 710 380 330 238 194 137 141- - - - - - - 33% 34% 33% 33% 30% 34% 33% 29% - - 36% 41% 32% 40% 40% 30% 34%

O lO O O lO lO jLO T W W

Telecommunications

- - 545 645 - 739 637 626 671 684 575 608 657 607 551 - - 631 332 299 211 186 128 106- - 27% 32% - 37% 31% 31% 33% 33% 29% 30% 33% 31% 28% - - 32% 36% 29% 36% 38% 28% 26%

CO CDGHIjKLmNOR Co C CkO CKO C CKO C CO T WX WX

Manufacturing

- - 551 595 - 666 628 603 578 619 511 577 600 628 593 - - 625 335 290 216 170 137 102- - 27% 30% - 33% 31% 29% 28% 30% 26% 29% 31% 32% 30% - - 32% 36% 28% 37% 35% 30% 25%

k CdHIjKL CK k K cK CiK cK CiK T wX X

Retail

- - - - - - - - - - 598 517 618 635 555 - - 607 321 286 203 188 118 98- - - - - - - - - - 30% 26% 31% 32% 28% - - 31% 34% 28% 34% 38% 25% 24%

L Lo LO L T WX WX

Energy and Utilities

- - 407 502 - 638 592 555 581 588 506 541 554 594 474 - - 607 320 287 252 185 96 73- - 20% 25% - 32% 29% 27% 28% 28% 26% 27% 28% 30% 24% - - 31% 34% 28% 43% 38% 21% 18%

C CDHijKLmO CDkO Co CDO CDO C Co CdO CDhKlO C CDHKLO T WX WX

Entertainment

- - - - - - - - - - 565 550 624 602 537 - - 600 327 274 208 195 108 88- - - - - - - - - - 29% 28% 32% 31% 27% - - 31% 35% 27% 35% 40% 23% 21%

LO lo lo T WX WX

Insurance

- - 410 479 - 569 511 495 485 534 483 469 574 516 499 - - 546 310 236 213 163 93 77- - 20% 24% - 28% 25% 24% 24% 26% 25% 24% 29% 26% 25% - - 28% 33% 23% 36% 33% 20% 19%

C CDgHIKL C C C C C C CDGHIjKLnO C C CDHIkL T WX WX

Financial services




Summary Of More Positive


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


-** -** 2023 2016 -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 -** -** 1957 933 1024 590 488 464 414Weighted Base- - 388 458 - 534 459 495 443 523 500 453 545 507 468 - - 543 298 244 195 166 101 81- - 19% 23% - 27% 23% 24% 22% 25% 25% 23% 28% 26% 24% - - 28% 32% 24% 33% 34% 22% 19%

C CDGIL C C CI CgI C CDGHILO CdgIl C CDGHILO T WX WX

Automotive

- - - - - - - - 459 546 477 457 531 516 506 - - 528 278 250 210 158 101 60- - - - - - - - 23% 26% 24% 23% 27% 26% 26% - - 27% 30% 24% 36% 32% 22% 14%

IL IL Il il IL t WX WX x

Retail - apparel

- - 450 524 - 581 532 544 572 532 514 438 559 541 499 - - 519 287 232 195 163 91 70- - 22% 26% - 29% 26% 27% 28% 26% 26% 22% 28% 27% 25% - - 27% 31% 23% 33% 33% 20% 17%

CL CjLo CL CL CL CL CL CLo CL cL CL T WX WX

Media

- - 385 421 - 492 430 414 453 497 416 434 453 483 464 - - 490 273 217 180 177 81 51- - 19% 21% - 24% 21% 20% 22% 24% 21% 22% 23% 25% 24% - - 25% 29% 21% 31% 36% 17% 12%

CDgHk C CdgHk c Ch CDGHkl CdH CDGHKl T WX WX

Travel and hospitality(hotels, cruise lines)

- - 361 362 - 405 371 358 382 462 377 315 450 395 415 - - 435 238 197 163 136 86 50- - 18% 18% - 20% 18% 17% 19% 22% 19% 16% 23% 20% 21% - - 22% 25% 19% 28% 28% 19% 12%

hL l L CDGHIkL L CDfGHIKLn hL CDgHL CDGHIkL T WX WX x

Airlines

- - 268 318 - 335 379 354 337 459 397 350 436 401 429 - - 434 249 184 168 156 53 57- - 13% 16% - 17% 19% 17% 17% 22% 20% 18% 22% 20% 22% - - 22% 27% 18% 29% 32% 11% 14%

c C Cd C C CDFGHIL CDFhIl C CDFGHIL CDFHIl CDFGHIL CDFGHIL T WX WX

Real estate

- - 424 422 - 475 429 442 454 511 453 384 499 419 456 - - 430 241 189 159 151 63 58- - 21% 21% - 24% 21% 22% 22% 25% 23% 19% 25% 21% 23% - - 22% 26% 18% 27% 31% 13% 14%

L l CDGhLN L CDGHiLNr L T WX WX

Oil




Summary Of More Negative


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 668 591 - 546 565 602 539 637 519 671 595 650 547 - - 663 302 361 195 141 161 166- - 33% 29% - 27% 28% 29% 26% 31% 26% 34% 30% 33% 28% - - 34% 32% 35% 33% 29% 35% 40%

DFGHIKO i FgIKo DFGHIKmO fIK DFGHIKO DFGHIKmO V

Media

- - 577 544 - 498 505 537 507 577 586 587 538 542 559 - - 612 297 314 175 113 148 177- - 29% 27% - 25% 25% 26% 25% 28% 30% 29% 27% 28% 28% - - 31% 32% 31% 30% 23% 32% 43%

FGI fgi FGHI FGhI FGI DFGHIjMn v V UVW

Airlines

- - 583 511 - 513 509 578 473 563 566 512 502 471 512 - - 555 274 281 166 92 124 173- - 29% 25% - 25% 25% 28% 23% 27% 29% 26% 26% 24% 26% - - 28% 29% 27% 28% 19% 27% 42%

dfGIlmN gIN In dfGIlmN i gIN V V UVW

Travel and hospitality(hotels, cruise lines)

- - 398 305 - 260 287 341 288 365 328 321 321 310 332 - - 409 201 208 132 104 77 96- - 20% 15% - 13% 14% 17% 14% 18% 17% 16% 16% 16% 17% - - 21% 22% 20% 22% 21% 17% 23%

DFGHIkLMNo Fgi dFGI Fgi F F F Fgi DFGHIJKLMNO w w

Restaurants

- - 403 334 - 265 268 312 281 345 342 290 327 325 379 - - 379 196 182 98 88 84 108- - 20% 17% - 13% 13% 15% 14% 17% 17% 15% 17% 17% 19% - - 19% 21% 18% 17% 18% 18% 26%

DFGHIJLMN FGI FGI FGIl FGI FGi dFGHIjLmn dFGHIjLn UVw

Entertainment

- - 383 336 - 350 344 355 299 362 230 302 305 327 256 - - 315 167 148 115 84 62 54- - 19% 17% - 17% 17% 17% 15% 18% 12% 15% 16% 17% 13% - - 16% 18% 14% 20% 17% 13% 13%

IKLMOr KO iKO KO iKO K IKO K Ko KO KO Wx

Financial services

- - 310 269 - 253 271 310 257 279 238 296 301 258 262 - - 313 169 144 122 63 58 70- - 15% 13% - 13% 13% 15% 13% 14% 12% 15% 15% 13% 13% - - 16% 18% 14% 21% 13% 13% 17%

FIK fiK k fiK dFgIjKNo t VW


- - 338 292 - 252 245 291 239 277 261 249 257 275 227 - - 304 140 164 112 76 50 66- - 17% 14% - 13% 12% 14% 12% 13% 13% 12% 13% 14% 12% - - 16% 15% 16% 19% 16% 11% 16%

FGhIJKLMnO gIO giO io FGILO W

Retail

- - 287 244 - 248 219 226 242 233 227 242 244 256 228 - - 296 159 137 114 73 53 56- - 14% 12% - 12% 11% 11% 12% 11% 12% 12% 12% 13% 12% - - 15% 17% 13% 19% 15% 11% 13%

GHiJko g DfGHIJKLmO t Wx

Small Businesses

- - 269 232 - 280 311 316 281 333 265 294 323 322 220 - - 293 169 124 121 70 47 56- - 13% 12% - 14% 15% 15% 14% 16% 14% 15% 16% 16% 11% - - 15% 18% 12% 20% 14% 10% 13%

dO DO DO do CDikO o DO CDfikO CDfikO DO T VWX

Oil

- - - - - - - - 243 284 249 245 272 272 249 - - 288 144 144 106 65 48 70- - - - - - - - 12% 14% 13% 12% 14% 14% 13% - - 15% 15% 14% 18% 13% 10% 17%

Il W w

Retail - apparel

- - - - - - - - - - 214 259 264 258 248 - - 280 146 134 122 64 54 40- - - - - - - - - - 11% 13% 13% 13% 13% - - 14% 16% 13% 21% 13% 12% 10%

k K VWX

Insurance

- - 292 268 - 286 251 290 238 290 245 278 270 269 238 - - 276 143 133 103 71 57 45- - 14% 13% - 14% 12% 14% 12% 14% 12% 14% 14% 14% 12% - - 14% 15% 13% 17% 15% 12% 11%

Io i i i i i wX

Real estate

- - 306 251 - 180 207 215 218 248 244 246 235 214 252 - - 245 130 115 80 55 50 60- - 15% 12% - 9% 10% 10% 11% 12% 12% 12% 12% 11% 13% - - 13% 14% 11% 14% 11% 11% 14%

dFGHIJkLMNr Fg F Fg Fg F FGhi Fg

Food & Beverage

- - - - - - - - - - 174 253 252 224 201 - - 236 125 112 91 72 33 40- - - - - - - - - - 9% 13% 13% 11% 10% - - 12% 13% 11% 15% 15% 7% 10%

Ko KO K K Wx W





Summary Of More Negative


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


-** -** 2023 2016 -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 -** -** 1957 933 1024 590 488 464 414Weighted Base- - 308 266 - 268 247 272 234 266 260 253 263 263 258 - - 233 126 106 94 56 40 43- - 15% 13% - 13% 12% 13% 11% 13% 13% 13% 13% 13% 13% - - 12% 14% 10% 16% 11% 9% 10%

GIjlR vWx

Manufacturing

- - 255 252 - 209 254 223 222 242 205 212 231 230 228 - - 216 130 87 90 60 33 34- - 13% 13% - 10% 13% 11% 11% 12% 10% 11% 12% 12% 12% - - 11% 14% 8% 15% 12% 7% 8%

fk f f T WX W

Automotive

- - 248 207 - 192 192 208 166 222 209 193 222 207 206 - - 215 134 82 88 68 16 43- - 12% 10% - 10% 9% 10% 8% 11% 11% 10% 11% 11% 10% - - 11% 14% 8% 15% 14% 4% 10%

FGhIL i i I I I I I I T W W W

Non-profits

- - 355 255 - 218 231 252 208 253 198 228 205 245 217 - - 202 95 107 79 58 27 37- - 18% 13% - 11% 11% 12% 10% 12% 10% 11% 10% 12% 11% - - 10% 10% 10% 13% 12% 6% 9%

DFGHIJKLMNOR ikmr ik ik ik W W

Retail - grocery

- - - - - - - 215 164 232 163 191 222 212 202 - - 189 111 78 83 52 26 27- - - - - - - 10% 8% 11% 8% 10% 11% 11% 10% - - 10% 12% 8% 14% 11% 6% 7%

Ik IK IK IK I T WX W

Telecommunications

- - 217 169 - 155 178 208 174 200 154 189 164 169 210 - - 182 99 83 87 46 26 23- - 11% 8% - 8% 9% 10% 9% 10% 8% 9% 8% 9% 11% - - 9% 11% 8% 15% 9% 5% 5%

DFgiKMn FK f dFiKmn VWX w

Healthcare(Doctors/Nurses/Hospital)

- - 219 178 - 175 180 170 155 204 154 167 171 190 190 - - 153 91 62 65 44 16 28- - 11% 9% - 9% 9% 8% 8% 10% 8% 8% 9% 10% 10% - - 8% 10% 6% 11% 9% 3% 7%

dfgHIKLmR Ikr i i T W W

Technology



4 Jul 2020Table 152Q38_1 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Financial services


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 794 815 - 919 855 850 784 896 713 771 880 843 754 - - 862 478 384 329 247 155 132- - 39% 40% - 46% 42% 41% 38% 43% 36% 39% 45% 43% 38% - - 44% 51% 38% 56% 51% 33% 32%

K CDgHIKLO iKlo K CIKLO CDhIKLO cIKLO CdIKLO T WX WX

More Positive/Negative(Net)

- - 410 479 - 569 511 495 485 534 483 469 574 516 499 - - 546 310 236 213 163 93 77- - 20% 24% - 28% 25% 24% 24% 26% 25% 24% 29% 26% 25% - - 28% 33% 23% 36% 33% 20% 19%

C CDgHIKL C C C C C C CDGHIjKLnO C C CDHIkL T WX WX

More positive

- - 383 336 - 350 344 355 299 362 230 302 305 327 256 - - 315 167 148 115 84 62 54- - 19% 17% - 17% 17% 17% 15% 18% 12% 15% 16% 17% 13% - - 16% 18% 14% 20% 17% 13% 13%

IKLMOr KO iKO KO iKO K IKO K Ko KO KO Wx

More negative

- - 1229 1201 - 1094 1174 1200 1255 1170 1248 1225 1085 1126 1209 - - 1095 456 640 261 242 310 283- - 61% 60% - 54% 58% 59% 62% 57% 64% 61% 55% 57% 62% - - 56% 49% 62% 44% 49% 67% 68%

FJMnR FMr f Fm FgJMNR DFGHJMNR FgJMNR FgJMNR S UV UV

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 890 887 - 918 873 895 817 896 772 826 857 903 820 - - 929 475 454 328 246 187 167- - 44% 44% - 46% 43% 44% 40% 43% 39% 41% 44% 46% 42% - - 47% 51% 44% 56% 50% 40% 40%

IK IK IKLo k iK iK iK IKLO cGhIJKLmO T WX WX


- - 551 595 - 666 628 603 578 619 511 577 600 628 593 - - 625 335 290 216 170 137 102- - 27% 30% - 33% 31% 29% 28% 30% 26% 29% 31% 32% 30% - - 32% 36% 28% 37% 35% 30% 25%

k CdHIjKL CK k K cK CiK cK CiK T wX X

More positive

- - 338 292 - 252 245 291 239 277 261 249 257 275 227 - - 304 140 164 112 76 50 66- - 17% 14% - 13% 12% 14% 12% 13% 13% 12% 13% 14% 12% - - 16% 15% 16% 19% 16% 11% 16%

FGhIJKLMnO gIO giO io FGILO W

More negative

- - 1133 1129 - 1095 1156 1155 1222 1171 1189 1170 1108 1066 1143 - - 1028 459 570 262 243 277 247- - 56% 56% - 54% 57% 56% 60% 57% 61% 59% 56% 54% 58% - - 53% 49% 56% 44% 50% 60% 60%

r R r CDFhjmNR R CDFgHJMNR FNR r fNR S UV UV

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Technology


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 837 917 - 994 947 945 961 969 853 907 922 992 808 - - 983 530 453 341 272 197 173- - 41% 45% - 49% 47% 46% 47% 47% 43% 45% 47% 50% 41% - - 50% 57% 44% 58% 56% 43% 42%

CO CdhKLO CO CO CkO CkO CO CkO CDgHijKLmO CDgHKLO T WX WX


- - 618 739 - 819 767 775 805 765 700 740 751 802 618 - - 830 439 391 276 228 182 145- - 31% 37% - 41% 38% 38% 39% 37% 36% 37% 38% 41% 32% - - 42% 47% 38% 47% 47% 39% 35%

CO CDjKlO CO CO CkO CO CO CO CO CDjKlO CDGHJKLMO T wX wX

More positive

- - 219 178 - 175 180 170 155 204 154 167 171 190 190 - - 153 91 62 65 44 16 28- - 11% 9% - 9% 9% 8% 8% 10% 8% 8% 9% 10% 10% - - 8% 10% 6% 11% 9% 3% 7%

dfgHIKLmR Ikr i i T W W

More negative

- - 1186 1099 - 1019 1082 1105 1078 1097 1108 1089 1043 977 1155 - - 974 404 571 249 216 267 242- - 59% 55% - 51% 53% 54% 53% 53% 57% 55% 53% 50% 59% - - 50% 43% 56% 42% 44% 57% 58%

DFGHIJLMNR fNR nr fNR n n FijmNR FNR n DFGHIJLMNR S UV UV

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Media


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1118 1116 - 1127 1097 1146 1111 1169 1033 1109 1153 1191 1046 - - 1182 589 593 390 304 252 236- - 55% 55% - 56% 54% 56% 55% 57% 53% 56% 59% 60% 53% - - 60% 63% 58% 66% 62% 54% 57%

ko cdGIKO CDFGHIJKLO CDFGHIjKLO t WX w


- - 450 524 - 581 532 544 572 532 514 438 559 541 499 - - 519 287 232 195 163 91 70- - 22% 26% - 29% 26% 27% 28% 26% 26% 22% 28% 27% 25% - - 27% 31% 23% 33% 33% 20% 17%

CL CjLo CL CL CL CL CL CLo CL cL CL T WX WX

More positive

- - 668 591 - 546 565 602 539 637 519 671 595 650 547 - - 663 302 361 195 141 161 166- - 33% 29% - 27% 28% 29% 26% 31% 26% 34% 30% 33% 28% - - 34% 32% 35% 33% 29% 35% 40%

DFGHIKO i FgIKo DFGHIKmO fIK DFGHIKO DFGHIKmO V

More negative

- - 905 900 - 886 932 904 928 897 928 887 812 778 917 - - 775 344 431 200 184 213 179- - 45% 45% - 44% 46% 44% 45% 43% 47% 44% 41% 40% 47% - - 40% 37% 42% 34% 38% 46% 43%

mNR mNR NR MNR NR MNR Nr jMNR NR jMNR s Uv U

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Automotive


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 643 711 - 743 712 718 665 765 705 665 776 737 696 - - 759 428 331 285 226 134 114- - 32% 35% - 37% 35% 35% 33% 37% 36% 33% 40% 37% 35% - - 39% 46% 32% 48% 46% 29% 28%

c CIl c c CIL Ci CDGHIkLO CIL c CdghIL T WX WX


- - 388 458 - 534 459 495 443 523 500 453 545 507 468 - - 543 298 244 195 166 101 81- - 19% 23% - 27% 23% 24% 22% 25% 25% 23% 28% 26% 24% - - 28% 32% 24% 33% 34% 22% 19%

C CDGIL C C CI CgI C CDGHILO CdgIl C CDGHILO T WX WX

More positive

- - 255 252 - 209 254 223 222 242 205 212 231 230 228 - - 216 130 87 90 60 33 34- - 13% 13% - 10% 13% 11% 11% 12% 10% 11% 12% 12% 12% - - 11% 14% 8% 15% 12% 7% 8%

fk f f T WX W

More negative

- - 1380 1305 - 1270 1317 1332 1374 1302 1256 1331 1189 1232 1267 - - 1198 505 693 305 262 330 300- - 68% 65% - 63% 65% 65% 67% 63% 64% 67% 60% 63% 65% - - 61% 54% 68% 52% 54% 71% 72%

dFghJKMNoR Mr Mr Mr FJkMNR m fJMNR M S UV UV

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Healthcare (Doctors/Nurses/Hospital)


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1312 1422 - 1456 1408 1425 1431 1399 1289 1358 1344 1367 1190 - - 1391 677 714 430 338 310 313- - 65% 71% - 72% 69% 70% 70% 68% 66% 68% 68% 69% 61% - - 71% 73% 70% 73% 69% 67% 75%

O CKO CgJKLMO CkO CKO CKO O O cO cO CkO CjKO w


- - 1095 1253 - 1302 1230 1217 1257 1199 1135 1169 1179 1197 980 - - 1209 578 631 343 292 285 290- - 54% 62% - 65% 61% 59% 62% 58% 58% 59% 60% 61% 50% - - 62% 62% 62% 58% 60% 61% 70%

O CJKlO CGHJKLMNO CO CO CjkO CO cO CO CO CO CjkO UVw

More positive

- - 217 169 - 155 178 208 174 200 154 189 164 169 210 - - 182 99 83 87 46 26 23- - 11% 8% - 8% 9% 10% 9% 10% 8% 9% 8% 9% 11% - - 9% 11% 8% 15% 9% 5% 5%

DFgiKMn FK f dFiKmn VWX w

More negative

- - 711 594 - 557 621 625 608 668 672 638 621 602 773 - - 566 257 310 159 150 154 102- - 35% 29% - 28% 31% 30% 30% 32% 34% 32% 32% 31% 39% - - 29% 27% 30% 27% 31% 33% 25%

DFGHIlmNR f Fr DFgHInR F F CDFGHIJKLMNR x

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Food & Beverage


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 938 1004 - 1042 1023 982 969 1019 913 959 1011 975 882 - - 1014 536 479 355 281 203 174- - 46% 50% - 52% 50% 48% 48% 49% 47% 48% 51% 50% 45% - - 52% 57% 47% 60% 58% 44% 42%

cO CHIKlO CkO O ChiKlO O ChIKlO T WX WX


- - 632 753 - 862 817 768 751 771 670 713 776 761 630 - - 769 406 363 275 226 153 115- - 31% 37% - 43% 40% 37% 37% 37% 34% 36% 40% 39% 32% - - 39% 43% 35% 47% 46% 33% 28%

CO CDHIJKLmNOr CiKLO CkO CO CO Co CKlO CKO CKlO T WX WX

More positive

- - 306 251 - 180 207 215 218 248 244 246 235 214 252 - - 245 130 115 80 55 50 60- - 15% 12% - 9% 10% 10% 11% 12% 12% 12% 12% 11% 13% - - 13% 14% 11% 14% 11% 11% 14%

dFGHIJkLMNr Fg F Fg Fg F FGhi Fg

More negative

- - 1085 1012 - 971 1006 1068 1070 1047 1048 1037 954 994 1081 - - 943 398 545 234 207 261 240- - 54% 50% - 48% 50% 52% 52% 51% 53% 52% 49% 50% 55% - - 48% 43% 53% 40% 42% 56% 58%

dFGMR Fmr FmR FgMR fmr DFGJMNR S UV UV

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Entertainment


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 810 836 - 903 860 868 861 934 848 831 881 919 853 - - 986 516 470 351 274 180 181- - 40% 41% - 45% 42% 42% 42% 45% 43% 42% 45% 47% 43% - - 50% 55% 46% 59% 56% 39% 44%

Cd Cdl Cd CDGHIkL c CDFGHIJKLMnO T WX WX


- - 407 502 - 638 592 555 581 588 506 541 554 594 474 - - 607 320 287 252 185 96 73- - 20% 25% - 32% 29% 27% 28% 28% 26% 27% 28% 30% 24% - - 31% 34% 28% 43% 38% 21% 18%

C CDHijKLmO CDkO Co CDO CDO C Co CdO CDhKlO C CDHKLO T WX WX

More positive

- - 403 334 - 265 268 312 281 345 342 290 327 325 379 - - 379 196 182 98 88 84 108- - 20% 17% - 13% 13% 15% 14% 17% 17% 15% 17% 17% 19% - - 19% 21% 18% 17% 18% 18% 26%

DFGHIJLMN FGI FGI FGIl FGI FGi dFGHIjLmn dFGHIjLn UVw

More negative

- - 1213 1180 - 1110 1169 1182 1178 1133 1113 1165 1084 1050 1110 - - 971 417 554 239 214 284 234- - 60% 59% - 55% 58% 58% 58% 55% 57% 58% 55% 53% 57% - - 50% 45% 54% 41% 44% 61% 56%

FJMNoR fjmNR R NR NR NR R nR jNR R r R S UV UV

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Travel and hospitality (hotels, cruise lines)


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 968 932 - 1005 940 992 926 1060 982 946 955 954 976 - - 1045 546 498 346 269 205 225- - 48% 46% - 50% 46% 48% 45% 51% 50% 47% 49% 48% 50% - - 53% 59% 49% 59% 55% 44% 54%

dgI cDGIL dgI dgI CDfGHILMNo T W W W


- - 385 421 - 492 430 414 453 497 416 434 453 483 464 - - 490 273 217 180 177 81 51- - 19% 21% - 24% 21% 20% 22% 24% 21% 22% 23% 25% 24% - - 25% 29% 21% 31% 36% 17% 12%

CDgHk C CdgHk c Ch CDGHkl CdH CDGHKl T WX WX

More positive

- - 583 511 - 513 509 578 473 563 566 512 502 471 512 - - 555 274 281 166 92 124 173- - 29% 25% - 25% 25% 28% 23% 27% 29% 26% 26% 24% 26% - - 28% 29% 27% 28% 19% 27% 42%

dfGIlmN gIN In dfGIlmN i gIN V V UVW

More negative

- - 1055 1084 - 1008 1089 1058 1113 1007 979 1050 1010 1015 987 - - 912 387 525 244 219 260 190- - 52% 54% - 50% 54% 52% 55% 49% 50% 53% 51% 52% 50% - - 47% 41% 51% 41% 45% 56% 46%

jR fJkoR r fJkoR R FJKOR JR R R r S UVX

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Airlines


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 938 905 - 903 876 895 889 1039 963 903 988 937 974 - - 1046 535 511 337 249 234 226- - 46% 45% - 45% 43% 44% 44% 50% 49% 45% 50% 48% 50% - - 53% 57% 50% 57% 51% 50% 55%

CDFGHIL DFGHIl cDFGHIL GHI DFGHIL CDFGHIKLNo T


- - 361 362 - 405 371 358 382 462 377 315 450 395 415 - - 435 238 197 163 136 86 50- - 18% 18% - 20% 18% 17% 19% 22% 19% 16% 23% 20% 21% - - 22% 25% 19% 28% 28% 19% 12%

hL l L CDGHIkL L CDfGHIKLn hL CDgHL CDGHIkL T WX WX x

More positive

- - 577 544 - 498 505 537 507 577 586 587 538 542 559 - - 612 297 314 175 113 148 177- - 29% 27% - 25% 25% 26% 25% 28% 30% 29% 27% 28% 28% - - 31% 32% 31% 30% 23% 32% 43%

FGI fgi FGHI FGhI FGI DFGHIjMn v V UVW

More negative

- - 1085 1111 - 1110 1153 1155 1150 1027 998 1093 977 1032 989 - - 911 398 512 252 239 231 188- - 54% 55% - 55% 57% 56% 56% 50% 51% 55% 50% 52% 50% - - 47% 43% 50% 43% 49% 50% 45%

JmR JKMOR JKMOR JKMNOR JKMNOR JKMNOR R JkMOR R r S

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Non-profits


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 845 881 - 956 903 921 893 951 803 869 944 907 746 - - 931 485 446 320 256 177 179- - 42% 44% - 47% 45% 45% 44% 46% 41% 44% 48% 46% 38% - - 48% 52% 44% 54% 52% 38% 43%

o O CdiKLO kO cKO O CKO O CDgIKLO CKO CdiKlO T WX Wx


- - 597 674 - 764 711 713 727 729 593 676 722 699 540 - - 716 351 365 232 188 160 136- - 29% 33% - 38% 35% 35% 36% 35% 30% 34% 37% 36% 28% - - 37% 38% 36% 39% 38% 35% 33%

CkO CDhKLO CKO CKO CKO CKO CkO CdKO CKO CKO

More positive

- - 248 207 - 192 192 208 166 222 209 193 222 207 206 - - 215 134 82 88 68 16 43- - 12% 10% - 10% 9% 10% 8% 11% 11% 10% 11% 11% 10% - - 11% 14% 8% 15% 14% 4% 10%

FGhIL i i I I I I I I T W W W

More negative

- - 1178 1135 - 1057 1126 1129 1146 1115 1158 1127 1021 1062 1217 - - 1026 448 577 270 232 288 236- - 58% 56% - 53% 55% 55% 56% 54% 59% 56% 52% 54% 62% - - 52% 48% 56% 46% 48% 62% 57%

FhJMNR fMr m fMr FgHJMNR FMr cDFGHIJLMNR S UV Uv

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Real estate


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 560 586 - 621 629 644 575 749 642 628 705 670 666 - - 709 392 317 271 226 110 101- - 28% 29% - 31% 31% 31% 28% 36% 33% 31% 36% 34% 34% - - 36% 42% 31% 46% 46% 24% 24%

c c Ci CDFGHIkL CdI Ci CDFGHIL CDfI CDfI CDFGHIkL T WX WX


- - 268 318 - 335 379 354 337 459 397 350 436 401 429 - - 434 249 184 168 156 53 57- - 13% 16% - 17% 19% 17% 17% 22% 20% 18% 22% 20% 22% - - 22% 27% 18% 29% 32% 11% 14%

c C Cd C C CDFGHIL CDFhIl C CDFGHIL CDFHIl CDFGHIL CDFGHIL T WX WX

More positive

- - 292 268 - 286 251 290 238 290 245 278 270 269 238 - - 276 143 133 103 71 57 45- - 14% 13% - 14% 12% 14% 12% 14% 12% 14% 14% 14% 12% - - 14% 15% 13% 17% 15% 12% 11%

Io i i i i i wX

More negative

- - 1463 1430 - 1392 1400 1406 1464 1318 1319 1368 1260 1299 1297 - - 1248 541 707 318 262 354 313- - 72% 71% - 69% 69% 69% 72% 64% 67% 69% 64% 66% 66% - - 64% 58% 69% 54% 54% 76% 76%

fgHJKLMNOR JkMNOR JMnoR JMR JMR hJKlMNOR jr JMR S UV UV

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail - grocery


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1184 1220 - 1291 1273 1245 1212 1191 1090 1181 1213 1193 1033 - - 1145 562 583 352 304 248 241- - 59% 61% - 64% 63% 61% 59% 58% 56% 59% 62% 61% 53% - - 59% 60% 57% 60% 62% 53% 58%

O KO CdhIJKLnOR CiJKlOR KO kO O kO JKO KO O W


- - 828 966 - 1073 1042 993 1004 937 892 953 1008 948 816 - - 943 467 476 273 246 221 204- - 41% 48% - 53% 51% 48% 49% 45% 45% 48% 51% 48% 42% - - 48% 50% 47% 46% 50% 48% 49%

CO CDHIJKLNOR CdJKlO CO CJkO Co Co CO CdJKlO CO CO

More positive

- - 355 255 - 218 231 252 208 253 198 228 205 245 217 - - 202 95 107 79 58 27 37- - 18% 13% - 11% 11% 12% 10% 12% 10% 11% 10% 12% 11% - - 10% 10% 10% 13% 12% 6% 9%

DFGHIJKLMNOR ikmr ik ik ik W W

More negative

- - 839 796 - 722 756 805 827 876 871 815 752 776 930 - - 812 371 441 238 185 216 174- - 41% 39% - 36% 37% 39% 41% 42% 44% 41% 38% 39% 47% - - 41% 40% 43% 40% 38% 47% 42%

FG f f Fg FGM DFGHilMN Fg f CDFGHIJLMNR FG V

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma






Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 981 1049 - 1050 1015 1013 1048 1040 970 965 1057 1026 952 - - 1068 566 502 362 283 216 207- - 48% 52% - 52% 50% 49% 51% 50% 49% 48% 54% 52% 48% - - 55% 61% 49% 61% 58% 46% 50%

clo clo CgHjKLO clo CGHJKLO T WX Wx


- - 671 779 - 797 744 703 790 761 731 669 756 768 691 - - 755 397 358 240 220 157 137- - 33% 39% - 40% 37% 34% 39% 37% 37% 34% 38% 39% 35% - - 39% 43% 35% 41% 45% 34% 33%

CHLo CHLO cl CHLo cl Cl CHLo CHLO CHLo T wx WX

More positive

- - 310 269 - 253 271 310 257 279 238 296 301 258 262 - - 313 169 144 122 63 58 70- - 15% 13% - 13% 13% 15% 13% 14% 12% 15% 15% 13% 13% - - 16% 18% 14% 21% 13% 13% 17%

FIK fiK k fiK dFgIjKNo t VW

More negative

- - 1042 967 - 963 1014 1037 991 1026 991 1031 908 943 1011 - - 889 367 522 228 205 249 207- - 52% 48% - 48% 50% 51% 49% 50% 51% 52% 46% 48% 52% - - 45% 39% 51% 39% 42% 54% 50%

dfMnR mR MR mR MR dfMnR dfMnR S UV Uv

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Oil


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 693 655 - 755 740 758 735 844 719 678 821 740 676 - - 723 410 313 280 220 110 113- - 34% 32% - 38% 36% 37% 36% 41% 37% 34% 42% 38% 34% - - 37% 44% 31% 47% 45% 24% 27%

cDl D D d CDfGHIKLnOr D CDFGHIKLNOR cDlo D T WX WX


- - 424 422 - 475 429 442 454 511 453 384 499 419 456 - - 430 241 189 159 151 63 58- - 21% 21% - 24% 21% 22% 22% 25% 23% 19% 25% 21% 23% - - 22% 26% 18% 27% 31% 13% 14%

L l CDGhLN L CDGHiLNr L T WX WX

More positive

- - 269 232 - 280 311 316 281 333 265 294 323 322 220 - - 293 169 124 121 70 47 56- - 13% 12% - 14% 15% 15% 14% 16% 14% 15% 16% 16% 11% - - 15% 18% 12% 20% 14% 10% 13%

dO DO DO do CDikO o DO CDfikO CDfikO DO T VWX

More negative

- - 1330 1361 - 1258 1289 1292 1304 1222 1242 1318 1144 1229 1287 - - 1234 523 711 310 268 355 301- - 66% 68% - 62% 64% 63% 64% 59% 63% 66% 58% 62% 66% - - 63% 56% 69% 53% 55% 76% 73%

fJMn FGHiJKMNR jM JM JM JM JM fJMn jM JMn jM S UV UV

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Restaurants


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1009 1062 - 1079 1053 1098 1068 1089 1027 1023 1076 1063 966 - - 1161 619 542 381 290 254 237- - 50% 53% - 54% 52% 54% 52% 53% 52% 51% 55% 54% 49% - - 59% 66% 53% 65% 59% 55% 57%

o cO cO o ClO CO CDFGHIJKLMNO T W


- - 612 757 - 819 766 758 780 724 699 702 755 753 634 - - 753 418 334 249 186 177 141- - 30% 38% - 41% 38% 37% 38% 35% 36% 35% 38% 38% 32% - - 38% 45% 33% 42% 38% 38% 34%

CO ChJKLO CO CO CjO C Co C CjlO CjO CjO T x

More positive

- - 398 305 - 260 287 341 288 365 328 321 321 310 332 - - 409 201 208 132 104 77 96- - 20% 15% - 13% 14% 17% 14% 18% 17% 16% 16% 16% 17% - - 21% 22% 20% 22% 21% 17% 23%

DFGHIkLMNo Fgi dFGI Fgi F F F Fgi DFGHIJKLMNO w w

More negative

- - 1014 954 - 934 976 952 971 977 934 973 889 906 997 - - 796 314 481 209 199 210 178- - 50% 47% - 46% 48% 46% 48% 47% 48% 49% 45% 46% 51% - - 41% 34% 47% 35% 41% 45% 43%

fhMNR R R R R R R R mR R R dFHjMNR S U

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Manufacturing


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 853 911 - 1007 884 898 905 950 835 861 921 870 809 - - 864 458 405 305 241 168 149- - 42% 45% - 50% 44% 44% 44% 46% 43% 43% 47% 44% 41% - - 44% 49% 40% 52% 49% 36% 36%

O CDGHIJKLNOR CkO CgKlO T WX WX


- - 545 645 - 739 637 626 671 684 575 608 657 607 551 - - 631 332 299 211 186 128 106- - 27% 32% - 37% 31% 31% 33% 33% 29% 30% 33% 31% 28% - - 32% 36% 29% 36% 38% 28% 26%

CO CDGHIjKLmNOR Co C CkO CKO C CKO C CO T WX WX

More positive

- - 308 266 - 268 247 272 234 266 260 253 263 263 258 - - 233 126 106 94 56 40 43- - 15% 13% - 13% 12% 13% 11% 13% 13% 13% 13% 13% 13% - - 12% 14% 10% 16% 11% 9% 10%

GIjlR vWx

More negative

- - 1170 1105 - 1006 1145 1152 1134 1116 1126 1135 1044 1099 1154 - - 1093 475 619 285 247 296 266- - 58% 55% - 50% 56% 56% 56% 54% 57% 57% 53% 56% 59% - - 56% 51% 60% 48% 51% 64% 64%

FJM F Fm F F F FjM Fm F DFJM F S UV UV

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Small Businesses


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+



- - 1038 1070 - 1152 1102 1147 1100 1096 995 1091 1083 1159 945 - - 1212 620 592 400 315 248 249- - 51% 53% - 57% 54% 56% 54% 53% 51% 55% 55% 59% 48% - - 62% 66% 58% 68% 65% 53% 60%

O CDiJKO kO CKO O O ckO cKO CDGIJKLmO CDFGHIJKLMO T Wx W


- - 752 826 - 904 883 921 858 863 767 849 839 904 717 - - 916 461 455 285 242 195 194- - 37% 41% - 45% 44% 45% 42% 42% 39% 43% 43% 46% 37% - - 47% 49% 44% 48% 50% 42% 47%

cO CdKO CKO CDKO CO CO CkO CkO CDiJKlO CDIJKLmO w

More positive

- - 287 244 - 248 219 226 242 233 227 242 244 256 228 - - 296 159 137 114 73 53 56- - 14% 12% - 12% 11% 11% 12% 11% 12% 12% 12% 13% 12% - - 15% 17% 13% 19% 15% 11% 13%

GHiJko g DfGHIJKLmO t Wx

More negative

- - 985 946 - 861 927 903 939 970 966 905 882 810 1018 - - 745 313 432 190 173 217 165- - 49% 47% - 43% 46% 44% 46% 47% 49% 45% 45% 41% 52% - - 38% 34% 42% 32% 35% 47% 40%

FHlmNR FNR R NR R fNR FNR FgHlMNR NR nR DFGHIJLMNR S UV u

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Telecommunications


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - 2050 2039 2030 1961 1996 1965 1969 1963 - - 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** -** -** -** 2050 2039 2066 1961 1996 1965 1969 1963 -** -** 1957 933 1024 590 488 464 414Weighted Base

- - - - - - - 893 851 906 815 796 890 869 772 - - 899 491 408 321 246 163 168- - - - - - - 44% 42% 44% 42% 40% 45% 44% 39% - - 46% 53% 40% 54% 50% 35% 41%

lO LO ikLO LO IKLO T WX WX


- - - - - - - 679 688 674 652 605 667 657 570 - - 710 380 330 238 194 137 141- - - - - - - 33% 34% 33% 33% 30% 34% 33% 29% - - 36% 41% 32% 40% 40% 30% 34%

O lO O O lO lO jLO T W W

More positive

- - - - - - - 215 164 232 163 191 222 212 202 - - 189 111 78 83 52 26 27- - - - - - - 10% 8% 11% 8% 10% 11% 11% 10% - - 10% 12% 8% 14% 11% 6% 7%

Ik IK IK IK I T WX W

More negative

- - - - - - - 1157 1188 1160 1146 1200 1075 1100 1191 - - 1058 442 616 269 242 301 246- - - - - - - 56% 58% 56% 58% 60% 55% 56% 61% - - 54% 47% 60% 46% 50% 65% 59%

mR mR hJMNR HJMNR S UV UV

Unchanged

- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail - apparel


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - - 2039 2030 1961 1996 1965 1969 1963 - - 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** -** -** -** -** 2039 2066 1961 1996 1965 1969 1963 -** -** 1957 933 1024 590 488 464 414Weighted Base

- - - - - - - - 702 830 726 702 803 788 755 - - 817 422 394 315 223 149 129- - - - - - - - 34% 40% 37% 35% 41% 40% 38% - - 42% 45% 39% 53% 46% 32% 31%

IL IkL IL Il IKL T VWX WX


- - - - - - - - 459 546 477 457 531 516 506 - - 528 278 250 210 158 101 60- - - - - - - - 23% 26% 24% 23% 27% 26% 26% - - 27% 30% 24% 36% 32% 22% 14%

IL IL Il il IL t WX WX x

More positive

- - - - - - - - 243 284 249 245 272 272 249 - - 288 144 144 106 65 48 70- - - - - - - - 12% 14% 13% 12% 14% 14% 13% - - 15% 15% 14% 18% 13% 10% 17%

Il W w

More negative

- - - - - - - - 1337 1236 1235 1294 1162 1181 1208 - - 1140 511 630 274 265 315 285- - - - - - - - 66% 60% 63% 65% 59% 60% 62% - - 58% 55% 61% 47% 54% 68% 69%

JMNOR mR JMNoR S U UV UV

Unchanged

- - - - - - - - 2039 2066 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - - - - - - - 100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma






Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - - - - 1961 1996 1965 1969 1963 - - 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** -** -** -** -** -** -** 1961 1996 1965 1969 1963 -** -** 1957 933 1024 590 488 464 414Weighted Base

- - - - - - - - - - 772 770 870 858 756 - - 843 445 398 294 259 151 139- - - - - - - - - - 39% 39% 44% 44% 39% - - 43% 48% 39% 50% 53% 32% 33%

KLO KLO kLO T WX WX


- - - - - - - - - - 598 517 618 635 555 - - 607 321 286 203 188 118 98- - - - - - - - - - 30% 26% 31% 32% 28% - - 31% 34% 28% 34% 38% 25% 24%

L Lo LO L T WX WX

More positive

- - - - - - - - - - 174 253 252 224 201 - - 236 125 112 91 72 33 40- - - - - - - - - - 9% 13% 13% 11% 10% - - 12% 13% 11% 15% 15% 7% 10%

Ko KO K K Wx W

More negative

- - - - - - - - - - 1189 1226 1095 1111 1207 - - 1114 488 626 295 229 314 276- - - - - - - - - - 61% 61% 56% 56% 61% - - 57% 52% 61% 50% 47% 68% 67%

MNr MNR MNR S UV UV

Unchanged

- - - - - - - - - - 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - - - - - - - - - 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma




Insurance


Waves Gender Age


- 3/15) - 3/18) - 3/23) - 3/30) 4/5) - 4/13) - 4/20) - 4/27) 5/3) 5/10 5/17) 5/28) 5/31) 6/8) 6/15) 6/20) 6/29) 7/4) MALE FEMALE 18-34 35-49 50-64 65+


- - - - - - - - - - 1961 1996 1965 1969 1963 - - 1957 842 1115 609 635 413 300Unweighted Base-** -** -** -** -** -** -** -** -** -** 1961 1996 1965 1969 1963 -** -** 1957 933 1024 590 488 464 414Weighted Base

- - - - - - - - - - 779 809 888 859 785 - - 880 472 408 331 259 162 128- - - - - - - - - - 40% 41% 45% 44% 40% - - 45% 51% 40% 56% 53% 35% 31%

KLO ko KLO T WX WX


- - - - - - - - - - 565 550 624 602 537 - - 600 327 274 208 195 108 88- - - - - - - - - - 29% 28% 32% 31% 27% - - 31% 35% 27% 35% 40% 23% 21%

LO lo lo T WX WX

More positive

- - - - - - - - - - 214 259 264 258 248 - - 280 146 134 122 64 54 40- - - - - - - - - - 11% 13% 13% 13% 13% - - 14% 16% 13% 21% 13% 12% 10%

k K VWX

More negative

- - - - - - - - - - 1182 1187 1077 1110 1178 - - 1077 461 616 259 229 303 286- - - - - - - - - - 60% 59% 55% 56% 60% - - 55% 49% 60% 44% 47% 65% 69%

MnR MR MnR S UV UV

Unchanged

- - - - - - - - - - 1961 1996 1965 1969 1963 - - 1957 933 1024 590 488 464 414- - - - - - - - - - 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100%

Sigma


4 July 2020


TitleTablePage

1 1 LN01 How much do you agree or disagree with each of the following statements?Summary Of Strongly/Somewhat Agree

2 2 LN01 How much do you agree or disagree with each of the following statements?Summary Of Strongly/Somewhat Disagree

3 3 LN01_1 How much do you agree or disagree with each of the following statements?I will boycott brands that don’t stand for issues I care about.

4 4 LN01_2 How much do you agree or disagree with each of the following statements?I will pay more to buy from brands who take a stand on social issues I care about.

5 5 LN02 As you may have heard/read about, many advertisers are boycotting Facebook over its alleged laissez faire (i.e., lenientor laxed) ad policy that some argue spread hate, division and misinformation. Do you support or oppose the recent social media boycotts?

6 6 LN03 Which of the following two companies would you be more likely to view favorably?7 7 LN04 Are you more or less likely to currently buy from a brand/company that has taken part in the recent social media boycotts?8 8 LN05 How much do you agree or disagree with each of the following statements in regards to the social media boycotts?

Summary Of Strongly/Somewhat Agree9 9 LN05 How much do you agree or disagree with each of the following statements in regards to the social media boycotts?

Summary Of Strongly/Somewhat Disagree10 10 LN05_1 How much do you agree or disagree with each of the following statements in regards to the social media boycotts?

The demands from companies remain vague and are sometimes already a part of Facebook policy11 11 LN05_2 How much do you agree or disagree with each of the following statements in regards to the social media boycotts?

Advertisers may barely make a dent in Facebook’s revenues, this is merely a PR stunt12 12 LN05_3 How much do you agree or disagree with each of the following statements in regards to the social media boycotts?

Marketers and brands should play a bigger role in addressing our broken media ecosystem13 13 LN05_4 How much do you agree or disagree with each of the following statements in regards to the social media boycotts?

While social media boycotts might not last long, at least it puts pressure on tech companies to make changes.14 14 GU01 Have you participated in any of the following public activism recently? Please select all that apply.15 15 GU02 Are you registered to vote?16 16 GU03 Will you be voting in the 2020 election?17 17 GU04 How important is voting to you?18 18 GU06 Are you encouraging your peers to vote?19 19 GU07 How important do you think it is to ...

Summary Of Very/Somewhat Important20 20 GU07 How important do you think it is to ...

Summary Of Not At All/Not Very Important21 21 GU07_1 How important do you think it is to ...

have youth representation in decision making roles22 22 GU07_2 How important do you think it is to ...

have female representation in leadership roles23 23 GU08 How much do you agree that the following are the most pressing issues of our time?

Summary Of Strongly/Somewhat Agree24 24 GU08 How much do you agree that the following are the most pressing issues of our time?

Summary Of Strongly/Somewhat Disagree25 25 GU08_1 How much do you agree that the following are the most pressing issues of our time?

Racial justice26 26 GU08_2 How much do you agree that the following are the most pressing issues of our time?

Global health27 27 GU08_3 How much do you agree that the following are the most pressing issues of our time?

Gender equality28 28 GU08_4 How much do you agree that the following are the most pressing issues of our time?

Climate29 29 GU08_5 How much do you agree that the following are the most pressing issues of our time?

Female representation in leadership30 30 AM01 Which of the following products or services of Amazon are you familiar with?

Summary Of At Least Heard The Name31 31 AM01 Which of the following products or services of Amazon are you familiar with?

Summary Of Very/Somewhat Familiar32 32 AM01_1 Which of the following products or services of Amazon are you familiar with?

Amazon Web Services33 33 AM01_2 Which of the following products or services of Amazon are you familiar with?

Amazon Music34 34 AM01_3 Which of the following products or services of Amazon are you familiar with?

Amazon Go35 35 AM01_4 Which of the following products or services of Amazon are you familiar with?

Amazon Fresh

4 July 2020


TitleTablePage

36 36 AM01_5 Which of the following products or services of Amazon are you familiar with?Amazon Prime

37 37 AM01_6 Which of the following products or services of Amazon are you familiar with?Amazon Fire

38 38 AM01_7 Which of the following products or services of Amazon are you familiar with?Amazon Prime Video

39 39 AM01_8 Which of the following products or services of Amazon are you familiar with?Amazon Alexa

40 40 AM01_9 Which of the following products or services of Amazon are you familiar with?Amazon Smile

41 41 AM01_10 Which of the following products or services of Amazon are you familiar with?Amazon.com

42 42 Q3A Which of the following best describes your response to coronavirus?43 43 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

45 44 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

47 45 EMP02 How concerned are you that you may lose your job due to the coronavirus outbreak?48 46 Q9 Do you think your income in 2020 will be lower, higher or about the same as it was in 2019?49 47 EMP05 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Summary Of Yes50 48 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 payment51 49 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 payment52 50 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 member53 51 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 friend54 52 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 income55 53 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 partially56 54 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 entirely57 55 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 normal58 56 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 savings59 57 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)60 58 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)61 59 EMP05_12 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Lost access to my health insurance62 60 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 been impacted financially in some other way63 61 EMP05_14 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 financially64 62 REV01 Are you planning any major purchases once things return to normal? Please select all that apply.65 63 REV01 Are you planning any major purchases once things return to normal? Please select all that apply.66 64 Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Concerned67 65 Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Not At All/Not Very Concerned68 66 Q15_1 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Your personal health69 67 Q15_2 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The health of your older friends and relatives70 68 Q15_3 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The health of the broader American populace

4 July 2020


TitleTablePage

71 69 Q15_4 How concerned are you about the impact coronavirus (COVID-19) has on the following?The American economy

72 70 Q15_5 How concerned are you about the impact coronavirus (COVID-19) has on the following?Your personal finances

73 71 Q18 Which of the following is true for you?74 72 Q21 Which of the following is closest to your view of people’s reaction to the coronavirus (COVID-19) outbreak?75 73 FR01 Have you felt any of the following recently due to the COVID-19 pandemic?

Summary Of Yes76 74 FR01_1 Have you felt any of the following recently due to the COVID-19 pandemic?

Cabin fever- bored and sick of being in my home77 75 FR01_2 Have you felt any of the following recently due to the COVID-19 pandemic?

Claustrophobic- unable to escape my home78 76 FR01_3 Have you felt any of the following recently due to the COVID-19 pandemic?

Grateful- for the break from work to be at home with my family or by myself79 77 FR01_4 Have you felt any of the following recently due to the COVID-19 pandemic?

Appreciative-to be around people I truly care about80 78 FR01_5 Have you felt any of the following recently due to the COVID-19 pandemic?

Compassionate- taking the time to check in with the people I care about81 79 FR01_6 Have you felt any of the following recently due to the COVID-19 pandemic?

Lonely-feeling isolated from my friends/family82 80 FR01_7 Have you felt any of the following recently due to the COVID-19 pandemic?

Overwhelmed- trying to balance work at home and other needs of my family83 81 FR01_8 Have you felt any of the following recently due to the COVID-19 pandemic?

Angry- upset that I don’t know when this will end84 82 FR01_9 Have you felt any of the following recently due to the COVID-19 pandemic?

Annoyed- by lack of personal space and the inability to get away from my family85 83 FR01_10 Have you felt any of the following recently due to the COVID-19 pandemic?

Fear- that my kids are missing out on learning86 84 FR01_11 Have you felt any of the following recently due to the COVID-19 pandemic?

Thankful - for the sacrifices that the American people have made for coronavirus87 85 FR05 How much would you say you miss each of the following during this time of virus-related restrictions?

Summary Of A Lot/Somewhat88 86 FR05 How much would you say you miss each of the following during this time of virus-related restrictions?

Summary Of Not At All/Not Very89 87 FR05_1 How much would you say you miss each of the following during this time of virus-related restrictions?

Traveling on an airplane90 88 FR05_2 How much would you say you miss each of the following during this time of virus-related restrictions?

Going to a movie theatre91 89 FR05_3 How much would you say you miss each of the following during this time of virus-related restrictions?

Shopping in stores92 90 FR05_4 How much would you say you miss each of the following during this time of virus-related restrictions?

Working from the office93 91 FR05_5 How much would you say you miss each of the following during this time of virus-related restrictions?

Attending events like concerts, theatre and sporting events94 92 FR05_6 How much would you say you miss each of the following during this time of virus-related restrictions?

Dining out at a restaurant/bar95 93 FR05_7 How much would you say you miss each of the following during this time of virus-related restrictions?

Watching sports on TV96 94 FR05_8 How much would you say you miss each of the following during this time of virus-related restrictions?

Gatherings with friends and family97 95 FR05_9 How much would you say you miss each of the following during this time of virus-related restrictions?

Going to church98 96 FR05_10 How much would you say you miss each of the following during this time of virus-related restrictions?

Going to school or university99 97 FR05_13 How much would you say you miss each of the following during this time of virus-related restrictions?

Going to the gym/work out class100 98 FR05_14 How much would you say you miss each of the following during this time of virus-related restrictions?

Going to a social gathering,101 99 FR05_15 How much would you say you miss each of the following during this time of virus-related restrictions?

Going to my local coffee shop102 100 FR05_16 How much would you say you miss each of the following during this time of virus-related restrictions?

In person celebrations (e.g., Easter, birthdays, graduations)103 101 Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?Summary Of Concerned

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104 102 Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Summary Of Not At All/Not Very Concerned

105 103 Q22_1 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Surgical masks and gloves

106 104 Q22_2 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Testing kits for COVID-19

107 105 Q22_3 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Hospital beds (room for patients)

108 106 Q22_4 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Hospital ventilators (for assisted breathing)

109 107 Q22_5 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Healthcare workers (doctors, nurses, supporting staff)

110 108 FR11 How concerned are you about you or your loved one’s risk of being exposed to coronavirus when you leave your homefor essential errands during stay-home orders?

111 109 FR13 How concerned are you about you or your loved one’s risk of accidentally exposing others to coronavirus when youleave your home for essential errands during stay-home orders?

112 110 FR12 How concerned are you about the following situations, as it relates to the risk of you/your loved ones being exposed to, or accidentallyexposing others to coronavirus?Summary Of Very/Somewhat Concerned

113 111 FR12 How concerned are you about the following situations, as it relates to the risk of you/your loved ones being exposed to, or accidentallyexposing others to coronavirus?Summary Of Not At All/Not Very Concerned

114 112 FR12_1 How concerned are you about the following situations, as it relates to the risk of you/your loved ones being exposed to, or accidentallyexposing others to coronavirus?Leaving my home to go to non-essential businesses (e.g., bars, hair dressers, etc.)

115 113 FR12_2 How concerned are you about the following situations, as it relates to the risk of you/your loved ones being exposed to, or accidentallyexposing others to coronavirus?Returning to my normal activities in public (e.g., public transit, socializing)

116 114 FR12_3 How concerned are you about the following situations, as it relates to the risk of you/your loved ones being exposed to, or accidentallyexposing others to coronavirus?Taking my first flight

117 115 FR12_4 How concerned are you about the following situations, as it relates to the risk of you/your loved ones being exposed to, or accidentallyexposing others to coronavirus?My kids going back to school for the first time

118 116 FR12_5 How concerned are you about the following situations, as it relates to the risk of you/your loved ones being exposed to, or accidentallyexposing others to coronavirus?Going back to the office

119 117 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?

120 118 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/1-30 Days

121 119 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 Up To 3 Months

122 120 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 Day To 3 Months

123 121 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 Up To 6 Months

124 122 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 Year Or Longer

125 123 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

126 124 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

127 125 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

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128 126 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

129 127 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

130 128 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

131 129 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

132 130 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

133 131 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

134 132 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

135 133 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)

136 134 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

137 135 Q36 How likely do you think it is that coronavirus (COVID-19) will cause a global recession?138 136 Q36A Would you say we are in a global recession due to the coronavirus outbreak?139 137 LI01 Which do you think will have a bigger effect on the life of you and your family?140 138 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

141 139 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

142 140 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

143 141 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

144 142 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

145 143 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

146 144 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

147 145 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

148 146 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

149 147 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

150 148 LI02_8 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?Healthcare

151 149 LI02_9 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?Health insurance

152 150 Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Summary Of More Positive

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154 151 Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Summary Of More Negative

156 152 Q38_1 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Financial services

157 153 Q38_2 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Retail

158 154 Q38_3 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Technology

159 155 Q38_4 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Media

160 156 Q38_5 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Automotive

161 157 Q38_6 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Healthcare (Doctors/Nurses/Hospital)

162 158 Q38_7 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Food & Beverage

163 159 Q38_8 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Entertainment

164 160 Q38_9 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Travel and hospitality (hotels, cruise lines)

165 161 Q38_10 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Airlines

166 162 Q38_11 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Non-profits

167 163 Q38_12 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Real estate

168 164 Q38_13 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Retail - grocery

169 165 Q38_14 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Pharmaceutical/drugs

170 166 Q38_15 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Oil

171 167 Q38_16 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Restaurants

172 168 Q38_17 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Manufacturing

173 169 Q38_18 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Small Businesses

174 170 Q38_19 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Telecommunications

175 171 Q38_20 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Retail - apparel

176 172 Q38_21 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Energy and Utilities

177 173 Q38_22 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Insurance

fielding period: march 14 - july 4, 2020 weighted to the u.s. … · 2020-07-28 · page 3 fielding...

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