theharrispoll.com...MON01_1 Do you believe statues and/or monuments to each of the following...

Fielding Period: March 14 - June 16, 2020COVID-19Weighted To The U.S. General Adult Population - Propensity

19 Jun 2020Table 1MON01 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?

Summary Of Take Down

Base: All Respondents

Waves Gender Age Income

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(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 - $50k -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) MALE FEMALE 18-34 35-49 50-64 65+ < $50K $99k $100k+

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

- - - - - - - - - - - - - - 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** -** -** -** -** -** -** -** -** -** 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - - - - - - - - - - 943 444 498 258 219 236 229 277 294 321- - - - - - - - - - - - - - 48% 48% 48% 45% 43% 51% 55% 46% 51% 48%

s RS

Nathan Bedford Forest,Confederate general andfirst Grand Wizard of theKu Klux Klan

- - - - - - - - - - - - - - 603 299 304 214 117 144 128 165 193 216- - - - - - - - - - - - - - 31% 32% 29% 37% 23% 31% 31% 28% 33% 32%

Su S S v

Silent Sam, Confederatestatue

- - - - - - - - - - - - - - 599 308 291 206 129 143 122 166 191 219- - - - - - - - - - - - - - 31% 33% 28% 36% 25% 31% 29% 28% 33% 33%

q Su v

Stonewall Jackson,Confederate general

- - - - - - - - - - - - - - 565 289 276 193 125 135 112 149 176 217- - - - - - - - - - - - - - 29% 31% 27% 34% 25% 29% 27% 25% 30% 32%

Su v V

Robert E. Lee,Commander of theConfederate States Army

- - - - - - - - - - - - - - 562 282 280 189 117 136 121 147 187 204- - - - - - - - - - - - - - 29% 30% 27% 33% 23% 29% 29% 25% 32% 31%

S s V v

Jefferson Davis, presidentof the Confederate Statesof America

- - - - - - - - - - - - - - 552 281 271 185 116 128 123 147 182 196- - - - - - - - - - - - - - 28% 30% 26% 32% 23% 28% 29% 24% 31% 29%

S s V

Memorialscommemorating theConfederate States ofAmerica during the CivilWar

- - - - - - - - - - - - - - 519 267 252 201 133 119 66 156 151 189- - - - - - - - - - - - - - 26% 29% 24% 35% 26% 26% 16% 26% 26% 28%

STU U U

Christopher Columbus,explorer and played role inmistreatment andcolonization of indigenouspeople

- - - - - - - - - - - - - - 392 222 171 165 117 67 43 125 108 143- - - - - - - - - - - - - - 20% 24% 17% 29% 23% 15% 10% 21% 19% 21%

Q sTU TU

Thomas Jefferson, thirdU.S. president and knownslave owner

- - - - - - - - - - - - - - 352 201 151 157 96 68 31 107 96 136- - - - - - - - - - - - - - 18% 22% 15% 27% 19% 15% 7% 18% 17% 20%

Q STU U U

George Washington, firstU.S. president and knownslave owner

- - - - - - - - - - - - - - 181 119 62 92 54 31 4 54 41 82- - - - - - - - - - - - - - 9% 13% 6% 16% 11% 7% 1% 9% 7% 12%

Q STU tU U W

Abraham Lincoln,sixteenth U.S. presidentand emancipated (e.g.,freed) slaves______________________________________________________________________________________________________________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


19 Jun 2020Table 2MON01 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?

Summary Of Keep Up






- - - - - - - - - - - - - - 1501 691 810 383 368 370 380 435 481 505- - - - - - - - - - - - - - 76% 74% 79% 67% 72% 80% 91% 73% 83% 75%

p r RS RST VX

Abraham Lincoln,sixteenth U.S. presidentand emancipated (e.g.,freed) slaves

- - - - - - - - - - - - - - 1215 569 646 278 298 306 334 349 381 423- - - - - - - - - - - - - - 62% 61% 63% 48% 59% 66% 80% 58% 66% 63%

R Rs RST V

George Washington, firstU.S. president and knownslave owner

- - - - - - - - - - - - - - 1143 541 602 262 275 304 302 327 363 399- - - - - - - - - - - - - - 58% 58% 58% 46% 54% 66% 72% 55% 62% 60%

R RS RSt V

Thomas Jefferson, thirdU.S. president and knownslave owner

- - - - - - - - - - - - - - 1035 494 541 245 259 249 282 301 339 341- - - - - - - - - - - - - - 53% 53% 53% 43% 51% 54% 68% 50% 58% 51%

R R RST VX

Christopher Columbus,explorer and played role inmistreatment andcolonization of indigenouspeople

- - - - - - - - - - - - - - 991 480 511 260 266 238 228 297 294 354- - - - - - - - - - - - - - 51% 51% 50% 45% 52% 51% 55% 49% 51% 53%

r R

Memorialscommemorating theConfederate States ofAmerica during the CivilWar

- - - - - - - - - - - - - - 969 470 499 247 262 232 228 277 289 354- - - - - - - - - - - - - - 49% 50% 48% 43% 52% 50% 55% 46% 50% 53%

R r R v

Jefferson Davis, presidentof the Confederate Statesof America

- - - - - - - - - - - - - - 963 471 492 228 254 237 244 294 300 320- - - - - - - - - - - - - - 49% 51% 48% 40% 50% 51% 58% 49% 52% 48%

R R RSt

Robert E. Lee,Commander of theConfederate States Army

- - - - - - - - - - - - - - 931 451 480 226 254 225 226 271 279 333- - - - - - - - - - - - - - 47% 48% 47% 39% 50% 49% 54% 45% 48% 50%

R R R

Stonewall Jackson,Confederate general

- - - - - - - - - - - - - - 797 395 402 216 221 189 171 229 233 296- - - - - - - - - - - - - - 41% 42% 39% 38% 43% 41% 41% 38% 40% 44%

v

Silent Sam, Confederatestatue

- - - - - - - - - - - - - - 620 311 309 183 176 142 119 177 183 231- - - - - - - - - - - - - - 32% 33% 30% 32% 35% 31% 29% 29% 32% 35%

Nathan Bedford Forest,Confederate general andfirst Grand Wizard of theKu Klux Klan______________________________________________________________________________________________________________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


19 Jun 2020Table 3MON01_1 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?

Robert E. Lee, Commander of the Confederate States Army






- - - - - - - - - - - - - - 565 289 276 193 125 135 112 149 176 217- - - - - - - - - - - - - - 29% 31% 27% 34% 25% 29% 27% 25% 30% 32%

Su v V

Take down

- - - - - - - - - - - - - - 963 471 492 228 254 237 244 294 300 320- - - - - - - - - - - - - - 49% 51% 48% 40% 50% 51% 58% 49% 52% 48%

R R RSt

Keep up

- - - - - - - - - - - - - - 435 172 263 154 129 91 61 157 105 132- - - - - - - - - - - - - - 22% 18% 26% 27% 25% 20% 15% 26% 18% 20%

P TU tU WX

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma

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



Christopher Columbus, explorer and played role in mistreatment and colonization of indigenous people






- - - - - - - - - - - - - - 519 267 252 201 133 119 66 156 151 189- - - - - - - - - - - - - - 26% 29% 24% 35% 26% 26% 16% 26% 26% 28%

STU U U

Take down

- - - - - - - - - - - - - - 1035 494 541 245 259 249 282 301 339 341- - - - - - - - - - - - - - 53% 53% 53% 43% 51% 54% 68% 50% 58% 51%

R R RST VX

Keep up

- - - - - - - - - - - - - - 409 172 237 129 116 94 70 143 90 138- - - - - - - - - - - - - - 21% 18% 23% 22% 23% 20% 17% 24% 15% 21%

P u u W w

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Jefferson Davis, president of the Confederate States of America






- - - - - - - - - - - - - - 562 282 280 189 117 136 121 147 187 204- - - - - - - - - - - - - - 29% 30% 27% 33% 23% 29% 29% 25% 32% 31%

S s V v

Take down

- - - - - - - - - - - - - - 969 470 499 247 262 232 228 277 289 354- - - - - - - - - - - - - - 49% 50% 48% 43% 52% 50% 55% 46% 50% 53%

R r R v

Keep up

- - - - - - - - - - - - - - 432 180 252 139 129 94 69 175 105 110- - - - - - - - - - - - - - 22% 19% 24% 24% 25% 20% 17% 29% 18% 17%

P U U WX

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Memorials commemorating the Confederate States of America during the Civil War






- - - - - - - - - - - - - - 552 281 271 185 116 128 123 147 182 196- - - - - - - - - - - - - - 28% 30% 26% 32% 23% 28% 29% 24% 31% 29%

S s V

Take down

- - - - - - - - - - - - - - 991 480 511 260 266 238 228 297 294 354- - - - - - - - - - - - - - 51% 51% 50% 45% 52% 51% 55% 49% 51% 53%

r R

Keep up

- - - - - - - - - - - - - - 419 171 248 130 126 96 67 156 105 119- - - - - - - - - - - - - - 21% 18% 24% 23% 25% 21% 16% 26% 18% 18%

P U U WX

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Silent Sam, Confederate statue






- - - - - - - - - - - - - - 603 299 304 214 117 144 128 165 193 216- - - - - - - - - - - - - - 31% 32% 29% 37% 23% 31% 31% 28% 33% 32%

Su S S v

Take down

- - - - - - - - - - - - - - 797 395 402 216 221 189 171 229 233 296- - - - - - - - - - - - - - 41% 42% 39% 38% 43% 41% 41% 38% 40% 44%

v

Keep up

- - - - - - - - - - - - - - 564 239 325 145 170 130 119 206 155 156- - - - - - - - - - - - - - 29% 26% 32% 25% 34% 28% 28% 34% 27% 23%

P R WX

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Nathan Bedford Forest, Confederate general and first Grand Wizard of the Ku Klux Klan






- - - - - - - - - - - - - - 943 444 498 258 219 236 229 277 294 321- - - - - - - - - - - - - - 48% 48% 48% 45% 43% 51% 55% 46% 51% 48%

s RS

Take down

- - - - - - - - - - - - - - 620 311 309 183 176 142 119 177 183 231- - - - - - - - - - - - - - 32% 33% 30% 32% 35% 31% 29% 29% 32% 35%

Keep up

- - - - - - - - - - - - - - 400 177 223 134 113 84 69 146 104 117- - - - - - - - - - - - - - 20% 19% 22% 23% 22% 18% 17% 24% 18% 17%

U u WX

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Stonewall Jackson, Confederate general






- - - - - - - - - - - - - - 599 308 291 206 129 143 122 166 191 219- - - - - - - - - - - - - - 31% 33% 28% 36% 25% 31% 29% 28% 33% 33%

q Su v

Take down

- - - - - - - - - - - - - - 931 451 480 226 254 225 226 271 279 333- - - - - - - - - - - - - - 47% 48% 47% 39% 50% 49% 54% 45% 48% 50%

R R R

Keep up

- - - - - - - - - - - - - - 433 173 259 143 126 95 70 162 111 117- - - - - - - - - - - - - - 22% 19% 25% 25% 25% 20% 17% 27% 19% 18%

P U U WX

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Thomas Jefferson, third U.S. president and known slave owner






- - - - - - - - - - - - - - 392 222 171 165 117 67 43 125 108 143- - - - - - - - - - - - - - 20% 24% 17% 29% 23% 15% 10% 21% 19% 21%

Q sTU TU

Take down

- - - - - - - - - - - - - - 1143 541 602 262 275 304 302 327 363 399- - - - - - - - - - - - - - 58% 58% 58% 46% 54% 66% 72% 55% 62% 60%

R RS RSt V

Keep up

- - - - - - - - - - - - - - 428 170 258 148 116 92 72 148 110 127- - - - - - - - - - - - - - 22% 18% 25% 26% 23% 20% 17% 25% 19% 19%

P tU u Wx

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




George Washington, first U.S. president and known slave owner






- - - - - - - - - - - - - - 352 201 151 157 96 68 31 107 96 136- - - - - - - - - - - - - - 18% 22% 15% 27% 19% 15% 7% 18% 17% 20%

Q STU U U

Take down

- - - - - - - - - - - - - - 1215 569 646 278 298 306 334 349 381 423- - - - - - - - - - - - - - 62% 61% 63% 48% 59% 66% 80% 58% 66% 63%

R Rs RST V

Keep up

- - - - - - - - - - - - - - 397 162 234 140 115 88 54 144 103 110- - - - - - - - - - - - - - 20% 17% 23% 24% 23% 19% 13% 24% 18% 16%

P U U U WX

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Abraham Lincoln, sixteenth U.S. president and emancipated (e.g., freed) slaves






- - - - - - - - - - - - - - 181 119 62 92 54 31 4 54 41 82- - - - - - - - - - - - - - 9% 13% 6% 16% 11% 7% 1% 9% 7% 12%

Q STU tU U W

Take down

- - - - - - - - - - - - - - 1501 691 810 383 368 370 380 435 481 505- - - - - - - - - - - - - - 76% 74% 79% 67% 72% 80% 91% 73% 83% 75%

p r RS RST VX

Keep up

- - - - - - - - - - - - - - 282 123 159 100 86 61 33 110 59 82- - - - - - - - - - - - - - 14% 13% 15% 17% 17% 13% 8% 18% 10% 12%

U U U WX

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 13MON02 What do you believe networks should do for each of the following movies and shows that only portray the perspective of

the police instead of all perspectives?

Summary Of Remove Them






- - - - - - - - - - - - - - 284 129 155 98 69 65 52 85 90 94- - - - - - - - - - - - - - 14% 14% 15% 17% 14% 14% 12% 14% 15% 14%

COPS

- - - - - - - - - - - - - - 225 114 111 82 48 54 41 69 67 78- - - - - - - - - - - - - - 11% 12% 11% 14% 9% 12% 10% 12% 11% 12%

Su

Live PD

- - - - - - - - - - - - - - 163 87 76 61 52 35 16 53 37 68- - - - - - - - - - - - - - 8% 9% 7% 11% 10% 7% 4% 9% 6% 10%

U U u w

Den of Thieves

- - - - - - - - - - - - - - 162 103 59 75 44 25 18 49 34 71- - - - - - - - - - - - - - 8% 11% 6% 13% 9% 5% 4% 8% 6% 11%

Q sTU U W

Criminal Minds

- - - - - - - - - - - - - - 161 81 80 79 35 36 12 51 38 62- - - - - - - - - - - - - - 8% 9% 8% 14% 7% 8% 3% 9% 7% 9%

STU U U

S.W.A.T

- - - - - - - - - - - - - - 152 86 66 69 43 30 10 53 47 44- - - - - - - - - - - - - - 8% 9% 6% 12% 8% 6% 2% 9% 8% 7%

q TU U U

Spencer Confidential

- - - - - - - - - - - - - - 152 91 61 66 48 26 12 39 38 69- - - - - - - - - - - - - - 8% 10% 6% 11% 10% 6% 3% 6% 7% 10%

Q TU tU u vw

Sleepless

- - - - - - - - - - - - - - 152 88 64 65 28 34 24 52 37 56- - - - - - - - - - - - - - 8% 9% 6% 11% 6% 7% 6% 9% 6% 8%

Q StU

911

- - - - - - - - - - - - - - 150 74 76 71 34 32 13 52 38 48- - - - - - - - - - - - - - 8% 8% 7% 12% 7% 7% 3% 9% 7% 7%

STU u U

Blue Bloods

- - - - - - - - - - - - - - 130 78 52 63 41 19 6 36 35 53- - - - - - - - - - - - - - 7% 8% 5% 11% 8% 4% 1% 6% 6% 8%

Q TU TU u

First 48

- - - - - - - - - - - - - - 129 75 55 56 34 29 10 40 28 53- - - - - - - - - - - - - - 7% 8% 5% 10% 7% 6% 2% 7% 5% 8%

q U U U w

Paw Patrol

- - - - - - - - - - - - - - 127 67 59 60 30 30 8 48 32 39- - - - - - - - - - - - - - 6% 7% 6% 10% 6% 6% 2% 8% 5% 6%

StU U U

The Rookie

- - - - - - - - - - - - - - 114 67 47 58 31 19 6 29 31 46- - - - - - - - - - - - - - 6% 7% 5% 10% 6% 4% 1% 5% 5% 7%

q sTU U u

Forensic Files

- - - - - - - - - - - - - - 105 68 37 48 29 19 9 38 28 36- - - - - - - - - - - - - - 5% 7% 4% 8% 6% 4% 2% 6% 5% 5%

Q TU U

Law and Order





Summary Of Include Disclaimer






- - - - - - - - - - - - - - 553 234 319 180 125 111 137 175 167 180- - - - - - - - - - - - - - 28% 25% 31% 31% 25% 24% 33% 29% 29% 27%

P ST ST

Law and Order

- - - - - - - - - - - - - - 549 243 306 171 129 107 141 179 162 181- - - - - - - - - - - - - - 28% 26% 30% 30% 25% 23% 34% 30% 28% 27%

t ST

S.W.A.T

- - - - - - - - - - - - - - 531 254 276 186 144 104 98 158 145 195- - - - - - - - - - - - - - 27% 27% 27% 32% 28% 22% 23% 26% 25% 29%

TU t

Live PD

- - - - - - - - - - - - - - 530 235 295 150 130 125 124 163 168 169- - - - - - - - - - - - - - 27% 25% 29% 26% 26% 27% 30% 27% 29% 25%

COPS

- - - - - - - - - - - - - - 517 233 284 165 136 96 120 166 161 164- - - - - - - - - - - - - - 26% 25% 28% 29% 27% 21% 29% 28% 28% 25%

T t T

Criminal Minds

- - - - - - - - - - - - - - 509 235 274 165 146 93 106 159 143 180- - - - - - - - - - - - - - 26% 25% 27% 29% 29% 20% 25% 27% 25% 27%

T T

911

- - - - - - - - - - - - - - 508 242 266 176 116 104 112 159 142 184- - - - - - - - - - - - - - 26% 26% 26% 31% 23% 22% 27% 27% 25% 28%

ST

Forensic Files

- - - - - - - - - - - - - - 494 225 269 160 131 97 106 165 140 165- - - - - - - - - - - - - - 25% 24% 26% 28% 26% 21% 25% 28% 24% 25%

t

First 48

- - - - - - - - - - - - - - 492 224 268 153 120 99 120 139 152 173- - - - - - - - - - - - - - 25% 24% 26% 27% 24% 21% 29% 23% 26% 26%

T

Blue Bloods

- - - - - - - - - - - - - - 440 208 231 129 110 86 115 127 147 144- - - - - - - - - - - - - - 22% 22% 22% 22% 22% 19% 27% 21% 25% 22%

sT

The Rookie

- - - - - - - - - - - - - - 368 208 161 153 96 67 52 103 121 133- - - - - - - - - - - - - - 19% 22% 16% 27% 19% 15% 13% 17% 21% 20%

Q STU U

Den of Thieves

- - - - - - - - - - - - - - 343 181 162 139 98 60 46 105 96 129- - - - - - - - - - - - - - 17% 19% 16% 24% 19% 13% 11% 18% 16% 19%

q TU TU

Sleepless

- - - - - - - - - - - - - - 338 194 144 136 103 56 44 92 88 144- - - - - - - - - - - - - - 17% 21% 14% 24% 20% 12% 10% 15% 15% 22%

Q TU TU VW


- - - - - - - - - - - - - - 331 177 154 106 101 64 61 91 96 126- - - - - - - - - - - - - - 17% 19% 15% 18% 20% 14% 15% 15% 17% 19%

q tu

Paw Patrol





Summary Of Keep Them Up






- - - - - - - - - - - - - - 1134 544 590 289 312 299 233 334 347 394- - - - - - - - - - - - - - 58% 58% 57% 50% 61% 65% 56% 56% 60% 59%

R RU

Law and Order

- - - - - - - - - - - - - - 1067 496 571 270 282 297 217 317 326 365- - - - - - - - - - - - - - 54% 53% 55% 47% 56% 64% 52% 53% 56% 55%

R RSU

Criminal Minds

- - - - - - - - - - - - - - 1049 452 597 323 297 262 167 312 326 363- - - - - - - - - - - - - - 53% 48% 58% 56% 58% 57% 40% 52% 56% 54%

P U U U

Paw Patrol

- - - - - - - - - - - - - - 985 491 494 264 270 268 182 285 310 337- - - - - - - - - - - - - - 50% 53% 48% 46% 53% 58% 44% 47% 53% 50%

q rU RU v

911

- - - - - - - - - - - - - - 981 507 474 236 276 261 208 283 300 352- - - - - - - - - - - - - - 50% 54% 46% 41% 54% 57% 50% 47% 52% 53%

Q R R R

S.W.A.T

- - - - - - - - - - - - - - 977 462 515 222 288 272 196 298 304 327- - - - - - - - - - - - - - 50% 50% 50% 39% 57% 59% 47% 50% 52% 49%

RU RU R

Forensic Files

- - - - - - - - - - - - - - 969 485 484 216 275 265 213 292 292 344- - - - - - - - - - - - - - 49% 52% 47% 38% 54% 57% 51% 49% 50% 51%

q R R R

Blue Bloods

- - - - - - - - - - - - - - 894 462 432 241 258 224 170 267 263 322- - - - - - - - - - - - - - 46% 50% 42% 42% 51% 49% 41% 45% 45% 48%

Q RU ru

COPS

- - - - - - - - - - - - - - 887 451 437 218 255 229 186 253 266 325- - - - - - - - - - - - - - 45% 48% 42% 38% 50% 49% 45% 42% 46% 49%

Q R R r v

The Rookie

- - - - - - - - - - - - - - 875 429 446 224 247 245 159 265 273 293- - - - - - - - - - - - - - 45% 46% 43% 39% 49% 53% 38% 44% 47% 44%

RU RU

First 48

- - - - - - - - - - - - - - 752 374 378 199 223 196 134 225 240 256- - - - - - - - - - - - - - 38% 40% 37% 35% 44% 42% 32% 38% 41% 38%

RU RU

Live PD

- - - - - - - - - - - - - - 566 307 259 167 197 128 74 137 173 236- - - - - - - - - - - - - - 29% 33% 25% 29% 39% 28% 18% 23% 30% 35%

Q U RTU U V V

Den of Thieves

- - - - - - - - - - - - - - 538 297 241 171 185 115 67 134 165 225- - - - - - - - - - - - - - 27% 32% 23% 30% 36% 25% 16% 22% 28% 34%

Q U rTU U V V


- - - - - - - - - - - - - - 515 277 238 162 165 116 72 126 167 206- - - - - - - - - - - - - - 26% 30% 23% 28% 33% 25% 17% 21% 29% 31%

Q U TU U V V

Sleepless



19 Jun 2020Table 16MON02_1 What do you believe networks should do for each of the following movies and shows that only portray the perspective of


Live PD






- - - - - - - - - - - - - - 225 114 111 82 48 54 41 69 67 78- - - - - - - - - - - - - - 11% 12% 11% 14% 9% 12% 10% 12% 11% 12%

Su

Remove them

- - - - - - - - - - - - - - 531 254 276 186 144 104 98 158 145 195- - - - - - - - - - - - - - 27% 27% 27% 32% 28% 22% 23% 26% 25% 29%

TU t

Include a disclaimer beforeairing/ allowing people towatch them

- - - - - - - - - - - - - - 752 374 378 199 223 196 134 225 240 256- - - - - - - - - - - - - - 38% 40% 37% 35% 44% 42% 32% 38% 41% 38%

RU RU

Keep them up

- - - - - - - - - - - - - - 455 190 266 107 94 109 145 147 129 139- - - - - - - - - - - - - - 23% 20% 26% 19% 18% 24% 35% 25% 22% 21%

P RST

I have not heard of thisshow/movie

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





COPS






- - - - - - - - - - - - - - 284 129 155 98 69 65 52 85 90 94- - - - - - - - - - - - - - 14% 14% 15% 17% 14% 14% 12% 14% 15% 14%

Remove them

- - - - - - - - - - - - - - 530 235 295 150 130 125 124 163 168 169- - - - - - - - - - - - - - 27% 25% 29% 26% 26% 27% 30% 27% 29% 25%


- - - - - - - - - - - - - - 894 462 432 241 258 224 170 267 263 322- - - - - - - - - - - - - - 46% 50% 42% 42% 51% 49% 41% 45% 45% 48%

Q RU ru

Keep them up

- - - - - - - - - - - - - - 256 106 150 86 50 48 72 85 61 83- - - - - - - - - - - - - - 13% 11% 15% 15% 10% 10% 17% 14% 10% 12%

St ST w


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





911






- - - - - - - - - - - - - - 152 88 64 65 28 34 24 52 37 56- - - - - - - - - - - - - - 8% 9% 6% 11% 6% 7% 6% 9% 6% 8%

Q StU

Remove them

- - - - - - - - - - - - - - 509 235 274 165 146 93 106 159 143 180- - - - - - - - - - - - - - 26% 25% 27% 29% 29% 20% 25% 27% 25% 27%

T T


- - - - - - - - - - - - - - 985 491 494 264 270 268 182 285 310 337- - - - - - - - - - - - - - 50% 53% 48% 46% 53% 58% 44% 47% 53% 50%

q rU RU v

Keep them up

- - - - - - - - - - - - - - 317 119 199 80 64 67 106 103 92 96- - - - - - - - - - - - - - 16% 13% 19% 14% 13% 15% 25% 17% 16% 14%

P RST


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





The Rookie






- - - - - - - - - - - - - - 127 67 59 60 30 30 8 48 32 39- - - - - - - - - - - - - - 6% 7% 6% 10% 6% 6% 2% 8% 5% 6%

StU U U

Remove them

- - - - - - - - - - - - - - 440 208 231 129 110 86 115 127 147 144- - - - - - - - - - - - - - 22% 22% 22% 22% 22% 19% 27% 21% 25% 22%

sT


- - - - - - - - - - - - - - 887 451 437 218 255 229 186 253 266 325- - - - - - - - - - - - - - 45% 48% 42% 38% 50% 49% 45% 42% 46% 49%

Q R R r v

Keep them up

- - - - - - - - - - - - - - 509 206 304 168 114 118 109 172 136 160- - - - - - - - - - - - - - 26% 22% 29% 29% 23% 25% 26% 29% 23% 24%

P S w


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Blue Bloods






- - - - - - - - - - - - - - 150 74 76 71 34 32 13 52 38 48- - - - - - - - - - - - - - 8% 8% 7% 12% 7% 7% 3% 9% 7% 7%

STU u U

Remove them

- - - - - - - - - - - - - - 492 224 268 153 120 99 120 139 152 173- - - - - - - - - - - - - - 25% 24% 26% 27% 24% 21% 29% 23% 26% 26%

T


- - - - - - - - - - - - - - 969 485 484 216 275 265 213 292 292 344- - - - - - - - - - - - - - 49% 52% 47% 38% 54% 57% 51% 49% 50% 51%

q R R R

Keep them up

- - - - - - - - - - - - - - 351 149 202 135 79 66 72 117 98 103- - - - - - - - - - - - - - 18% 16% 20% 23% 16% 14% 17% 20% 17% 15%

p STu


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





S.W.A.T






- - - - - - - - - - - - - - 161 81 80 79 35 36 12 51 38 62- - - - - - - - - - - - - - 8% 9% 8% 14% 7% 8% 3% 9% 7% 9%

STU U U

Remove them

- - - - - - - - - - - - - - 549 243 306 171 129 107 141 179 162 181- - - - - - - - - - - - - - 28% 26% 30% 30% 25% 23% 34% 30% 28% 27%

t ST


- - - - - - - - - - - - - - 981 507 474 236 276 261 208 283 300 352- - - - - - - - - - - - - - 50% 54% 46% 41% 54% 57% 50% 47% 52% 53%

Q R R R

Keep them up

- - - - - - - - - - - - - - 272 101 171 89 68 58 57 87 80 74- - - - - - - - - - - - - - 14% 11% 17% 15% 13% 12% 14% 14% 14% 11%

P


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





First 48






- - - - - - - - - - - - - - 130 78 52 63 41 19 6 36 35 53- - - - - - - - - - - - - - 7% 8% 5% 11% 8% 4% 1% 6% 6% 8%

Q TU TU u

Remove them

- - - - - - - - - - - - - - 494 225 269 160 131 97 106 165 140 165- - - - - - - - - - - - - - 25% 24% 26% 28% 26% 21% 25% 28% 24% 25%

t


- - - - - - - - - - - - - - 875 429 446 224 247 245 159 265 273 293- - - - - - - - - - - - - - 45% 46% 43% 39% 49% 53% 38% 44% 47% 44%

RU RU

Keep them up

- - - - - - - - - - - - - - 465 200 264 128 89 101 147 134 132 157- - - - - - - - - - - - - - 24% 21% 26% 22% 18% 22% 35% 22% 23% 23%

p RST


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Den of Thieves






- - - - - - - - - - - - - - 163 87 76 61 52 35 16 53 37 68- - - - - - - - - - - - - - 8% 9% 7% 11% 10% 7% 4% 9% 6% 10%

U U u w

Remove them

- - - - - - - - - - - - - - 368 208 161 153 96 67 52 103 121 133- - - - - - - - - - - - - - 19% 22% 16% 27% 19% 15% 13% 17% 21% 20%

Q STU U


- - - - - - - - - - - - - - 566 307 259 167 197 128 74 137 173 236- - - - - - - - - - - - - - 29% 33% 25% 29% 39% 28% 18% 23% 30% 35%

Q U RTU U V V

Keep them up

- - - - - - - - - - - - - - 866 331 534 194 163 233 276 307 250 232- - - - - - - - - - - - - - 44% 36% 52% 34% 32% 50% 66% 51% 43% 35%

P RS RST WX X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - - - - - - - - 152 86 66 69 43 30 10 53 47 44- - - - - - - - - - - - - - 8% 9% 6% 12% 8% 6% 2% 9% 8% 7%

q TU U U

Remove them

- - - - - - - - - - - - - - 338 194 144 136 103 56 44 92 88 144- - - - - - - - - - - - - - 17% 21% 14% 24% 20% 12% 10% 15% 15% 22%

Q TU TU VW


- - - - - - - - - - - - - - 538 297 241 171 185 115 67 134 165 225- - - - - - - - - - - - - - 27% 32% 23% 30% 36% 25% 16% 22% 28% 34%

Q U rTU U V V

Keep them up

- - - - - - - - - - - - - - 935 355 580 200 177 262 296 320 281 255- - - - - - - - - - - - - - 48% 38% 56% 35% 35% 57% 71% 53% 48% 38%

P RS RST X X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Sleepless






- - - - - - - - - - - - - - 152 91 61 66 48 26 12 39 38 69- - - - - - - - - - - - - - 8% 10% 6% 11% 10% 6% 3% 6% 7% 10%

Q TU tU u vw

Remove them

- - - - - - - - - - - - - - 343 181 162 139 98 60 46 105 96 129- - - - - - - - - - - - - - 17% 19% 16% 24% 19% 13% 11% 18% 16% 19%

q TU TU


- - - - - - - - - - - - - - 515 277 238 162 165 116 72 126 167 206- - - - - - - - - - - - - - 26% 30% 23% 28% 33% 25% 17% 21% 29% 31%

Q U TU U V V

Keep them up

- - - - - - - - - - - - - - 954 383 570 208 197 261 288 331 280 264- - - - - - - - - - - - - - 49% 41% 55% 36% 39% 56% 69% 55% 48% 39%

P RS RST WX X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Law and Order






- - - - - - - - - - - - - - 105 68 37 48 29 19 9 38 28 36- - - - - - - - - - - - - - 5% 7% 4% 8% 6% 4% 2% 6% 5% 5%

Q TU U

Remove them

- - - - - - - - - - - - - - 553 234 319 180 125 111 137 175 167 180- - - - - - - - - - - - - - 28% 25% 31% 31% 25% 24% 33% 29% 29% 27%

P ST ST


- - - - - - - - - - - - - - 1134 544 590 289 312 299 233 334 347 394- - - - - - - - - - - - - - 58% 58% 57% 50% 61% 65% 56% 56% 60% 59%

R RU

Keep them up

- - - - - - - - - - - - - - 171 86 85 57 42 32 39 53 39 60- - - - - - - - - - - - - - 9% 9% 8% 10% 8% 7% 9% 9% 7% 9%


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Forensic Files






- - - - - - - - - - - - - - 114 67 47 58 31 19 6 29 31 46- - - - - - - - - - - - - - 6% 7% 5% 10% 6% 4% 1% 5% 5% 7%

q sTU U u

Remove them

- - - - - - - - - - - - - - 508 242 266 176 116 104 112 159 142 184- - - - - - - - - - - - - - 26% 26% 26% 31% 23% 22% 27% 27% 25% 28%

ST


- - - - - - - - - - - - - - 977 462 515 222 288 272 196 298 304 327- - - - - - - - - - - - - - 50% 50% 50% 39% 57% 59% 47% 50% 52% 49%

RU RU R

Keep them up

- - - - - - - - - - - - - - 364 161 203 118 74 68 104 114 103 112- - - - - - - - - - - - - - 19% 17% 20% 21% 14% 15% 25% 19% 18% 17%

St ST


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Criminal Minds






- - - - - - - - - - - - - - 162 103 59 75 44 25 18 49 34 71- - - - - - - - - - - - - - 8% 11% 6% 13% 9% 5% 4% 8% 6% 11%

Q sTU U W

Remove them

- - - - - - - - - - - - - - 517 233 284 165 136 96 120 166 161 164- - - - - - - - - - - - - - 26% 25% 28% 29% 27% 21% 29% 28% 28% 25%

T t T


- - - - - - - - - - - - - - 1067 496 571 270 282 297 217 317 326 365- - - - - - - - - - - - - - 54% 53% 55% 47% 56% 64% 52% 53% 56% 55%

R RSU

Keep them up

- - - - - - - - - - - - - - 217 100 117 64 46 43 63 67 60 69- - - - - - - - - - - - - - 11% 11% 11% 11% 9% 9% 15% 11% 10% 10%

ST


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Paw Patrol






- - - - - - - - - - - - - - 129 75 55 56 34 29 10 40 28 53- - - - - - - - - - - - - - 7% 8% 5% 10% 7% 6% 2% 7% 5% 8%

q U U U w

Remove them

- - - - - - - - - - - - - - 331 177 154 106 101 64 61 91 96 126- - - - - - - - - - - - - - 17% 19% 15% 18% 20% 14% 15% 15% 17% 19%

q tu


- - - - - - - - - - - - - - 1049 452 597 323 297 262 167 312 326 363- - - - - - - - - - - - - - 53% 48% 58% 56% 58% 57% 40% 52% 56% 54%

P U U U

Keep them up

- - - - - - - - - - - - - - 454 229 225 91 76 108 180 157 131 127- - - - - - - - - - - - - - 23% 25% 22% 16% 15% 23% 43% 26% 23% 19%

RS RST X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 30POL01 Do you have a favorable or unfavorable opinion of your local law enforcement?






- - - - - - - - - - - - - - 1415 673 742 321 384 363 347 410 419 504- - - - - - - - - - - - - - 72% 72% 72% 56% 76% 78% 83% 68% 72% 75%

R R RS V

Very/Somewhat Favorable(Net)

- - - - - - - - - - - - - - 663 322 341 113 175 185 191 176 176 274- - - - - - - - - - - - - - 34% 35% 33% 20% 34% 40% 46% 29% 30% 41%

R R RS VW

Very favorable

- - - - - - - - - - - - - - 752 351 401 208 210 178 156 234 243 230- - - - - - - - - - - - - - 38% 38% 39% 36% 41% 39% 37% 39% 42% 34%

X

Somewhat favorable

- - - - - - - - - - - - - - 548 260 289 254 124 100 71 190 161 164- - - - - - - - - - - - - - 28% 28% 28% 44% 24% 22% 17% 32% 28% 25%

STU U X

Very/SomewhatUnfavorable (Net)

- - - - - - - - - - - - - - 314 159 154 152 66 54 42 114 104 81- - - - - - - - - - - - - - 16% 17% 15% 26% 13% 12% 10% 19% 18% 12%

STU X X

Somewhat unfavorable

- - - - - - - - - - - - - - 235 100 134 102 58 46 29 75 57 83- - - - - - - - - - - - - - 12% 11% 13% 18% 11% 10% 7% 13% 10% 12%

STU u

Very unfavorable

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 31POL02 Do you have a favorable or unfavorable opinion of your national law enforcement?






- - - - - - - - - - - - - - 1343 660 683 325 366 339 314 377 399 498- - - - - - - - - - - - - - 68% 71% 66% 56% 72% 73% 75% 63% 69% 74%

q R R R v Vw

Very/Somewhat Favorable(Net)

- - - - - - - - - - - - - - 532 290 242 112 143 133 144 136 140 233- - - - - - - - - - - - - - 27% 31% 23% 19% 28% 29% 35% 23% 24% 35%

Q R R Rs VW

Very favorable

- - - - - - - - - - - - - - 811 370 441 213 223 206 169 242 259 265- - - - - - - - - - - - - - 41% 40% 43% 37% 44% 44% 41% 40% 45% 40%

r r

Somewhat favorable

- - - - - - - - - - - - - - 620 273 348 250 142 124 104 222 182 171- - - - - - - - - - - - - - 32% 29% 34% 44% 28% 27% 25% 37% 31% 26%

p STU wX x

Very/SomewhatUnfavorable (Net)

- - - - - - - - - - - - - - 375 168 207 139 90 79 68 149 106 95- - - - - - - - - - - - - - 19% 18% 20% 24% 18% 17% 16% 25% 18% 14%

STU WX

Somewhat unfavorable

- - - - - - - - - - - - - - 245 105 140 111 53 44 36 74 76 76- - - - - - - - - - - - - - 12% 11% 14% 19% 10% 10% 9% 12% 13% 11%

STU

Very unfavorable

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 32POL03 In your neighborhood would you prefer more or less police presence?






- - - - - - - - - - - - - - 477 244 233 114 133 119 111 134 148 178- - - - - - - - - - - - - - 24% 26% 23% 20% 26% 26% 27% 22% 25% 27%

R r R

More police presence

- - - - - - - - - - - - - - 1223 555 668 321 305 319 279 372 361 408- - - - - - - - - - - - - - 62% 60% 65% 56% 60% 69% 67% 62% 62% 61%

p RS Rs

The same amount myneighborhood currently has

- - - - - - - - - - - - - - 262 133 129 140 70 24 28 94 72 83- - - - - - - - - - - - - - 13% 14% 13% 24% 14% 5% 7% 16% 12% 12%

STU TU

Less police presence

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 33POL04 Do you support or oppose limiting police resources and having less policing in your neighborhood?






- - - - - - - - - - - - - - 746 401 345 295 226 125 101 236 182 282- - - - - - - - - - - - - - 38% 43% 34% 51% 44% 27% 24% 39% 31% 42%

Q sTU TU W W

Strongly/SomewhatSupport (Net)

- - - - - - - - - - - - - - 281 154 127 127 82 39 34 77 73 112- - - - - - - - - - - - - - 14% 16% 12% 22% 16% 8% 8% 13% 13% 17%

Q STU TU

Strongly support

- - - - - - - - - - - - - - 465 247 218 168 144 86 67 159 109 170- - - - - - - - - - - - - - 24% 26% 21% 29% 28% 19% 16% 26% 19% 25%

Q TU TU W W

Somewhat support

- - - - - - - - - - - - - - 1217 532 685 280 282 338 317 364 399 387- - - - - - - - - - - - - - 62% 57% 66% 49% 56% 73% 76% 61% 69% 58%

P r RS RS VX

Strongly/SomewhatOppose (Net)

- - - - - - - - - - - - - - 556 231 325 164 123 141 127 169 189 166- - - - - - - - - - - - - - 28% 25% 32% 29% 24% 31% 30% 28% 33% 25%

P s s X

Somewhat oppose

- - - - - - - - - - - - - - 661 300 360 115 159 196 190 195 210 221- - - - - - - - - - - - - - 34% 32% 35% 20% 31% 43% 45% 32% 36% 33%

R RS RS

Strongly oppose

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 34POL05 Do you support or oppose cutting back on petty crimes (e.g., marijuana possession, jaywalking, public disturbance)?






- - - - - - - - - - - - - - 1209 584 625 342 346 295 227 363 362 417- - - - - - - - - - - - - - 62% 63% 61% 59% 68% 64% 54% 61% 62% 62%

RU U


- - - - - - - - - - - - - - 518 249 269 176 159 117 66 158 152 176- - - - - - - - - - - - - - 26% 27% 26% 31% 31% 25% 16% 26% 26% 26%

U U U

Strongly support

- - - - - - - - - - - - - - 691 335 357 165 186 178 161 205 210 241- - - - - - - - - - - - - - 35% 36% 35% 29% 37% 39% 39% 34% 36% 36%

R R R

Somewhat support

- - - - - - - - - - - - - - 754 349 405 233 163 167 191 237 219 252- - - - - - - - - - - - - - 38% 37% 39% 41% 32% 36% 46% 39% 38% 38%

S ST


- - - - - - - - - - - - - - 451 204 246 147 94 90 120 138 132 159- - - - - - - - - - - - - - 23% 22% 24% 26% 18% 20% 29% 23% 23% 24%

St ST

Somewhat oppose

- - - - - - - - - - - - - - 303 144 159 86 69 77 71 99 87 93- - - - - - - - - - - - - - 15% 15% 15% 15% 14% 17% 17% 17% 15% 14%

Strongly oppose

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 35POL06 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Summary Of Excellent






- - - - - - - - - - - - - - 687 351 335 161 155 182 190 183 200 259- - - - - - - - - - - - - - 35% 38% 33% 28% 30% 39% 45% 30% 34% 39%

q RS RS V

Being helpful and friendly

- - - - - - - - - - - - - - 610 309 300 147 159 157 147 157 173 242- - - - - - - - - - - - - - 31% 33% 29% 26% 31% 34% 35% 26% 30% 36%

r R R Vw

Responding quickly tocalls for help andassistance

- - - - - - - - - - - - - - 583 283 300 130 140 165 148 157 176 213- - - - - - - - - - - - - - 30% 30% 29% 23% 28% 36% 35% 26% 30% 32%

RS RS v

Not using excessive force

- - - - - - - - - - - - - - 579 293 286 132 141 154 152 153 167 224- - - - - - - - - - - - - - 29% 31% 28% 23% 28% 33% 36% 26% 29% 34%

R RS V

Treating people fairly

- - - - - - - - - - - - - - 478 272 206 129 137 103 109 120 121 208- - - - - - - - - - - - - - 24% 29% 20% 22% 27% 22% 26% 20% 21% 31%

Q VW

Solving crime

- - - - - - - - - - - - - - 474 273 201 121 135 110 108 119 129 193- - - - - - - - - - - - - - 24% 29% 20% 21% 27% 24% 26% 20% 22% 29%

Q r VW

Preventing crime




Summary Of Pretty Good






- - - - - - - - - - - - - - 903 406 496 233 222 222 225 261 293 302- - - - - - - - - - - - - - 46% 44% 48% 41% 44% 48% 54% 44% 51% 45%

r RS V

Solving crime

- - - - - - - - - - - - - - 895 408 487 225 227 220 223 262 287 311- - - - - - - - - - - - - - 46% 44% 47% 39% 45% 48% 53% 44% 49% 47%

R RS v

Preventing crime

- - - - - - - - - - - - - - 833 396 437 216 218 195 204 246 251 298- - - - - - - - - - - - - - 42% 42% 42% 38% 43% 42% 49% 41% 43% 45%

R


- - - - - - - - - - - - - - 818 387 431 203 216 206 193 242 246 289- - - - - - - - - - - - - - 42% 42% 42% 35% 42% 45% 46% 40% 42% 43%

r R R


- - - - - - - - - - - - - - 802 380 422 189 211 203 198 239 252 272- - - - - - - - - - - - - - 41% 41% 41% 33% 42% 44% 47% 40% 43% 41%

R R R


- - - - - - - - - - - - - - 777 370 407 200 228 180 169 225 236 283- - - - - - - - - - - - - - 40% 40% 40% 35% 45% 39% 40% 38% 41% 42%

R





Summary Of Only Fair






- - - - - - - - - - - - - - 399 173 226 140 99 95 65 146 112 114- - - - - - - - - - - - - - 20% 19% 22% 24% 19% 20% 16% 24% 19% 17%

U wX

Preventing crime

- - - - - - - - - - - - - - 394 175 219 124 106 96 68 148 124 103- - - - - - - - - - - - - - 20% 19% 21% 22% 21% 21% 16% 25% 21% 15%

X X

Solving crime

- - - - - - - - - - - - - - 367 180 187 140 115 58 53 138 94 112- - - - - - - - - - - - - - 19% 19% 18% 24% 23% 13% 13% 23% 16% 17%

TU TU WX


- - - - - - - - - - - - - - 352 185 167 128 109 51 64 134 103 91- - - - - - - - - - - - - - 18% 20% 16% 22% 21% 11% 15% 22% 18% 14%

q TU Tu wX


- - - - - - - - - - - - - - 351 160 191 135 92 75 49 142 98 85- - - - - - - - - - - - - - 18% 17% 19% 23% 18% 16% 12% 24% 17% 13%

sTU U WX


- - - - - - - - - - - - - - 333 146 188 127 89 67 50 132 97 81- - - - - - - - - - - - - - 17% 16% 18% 22% 18% 14% 12% 22% 17% 12%

TU u WX x





Summary Of Poor






- - - - - - - - - - - - - - 215 80 136 113 41 46 15 69 68 61- - - - - - - - - - - - - - 11% 9% 13% 20% 8% 10% 4% 12% 12% 9%

P STU U U


- - - - - - - - - - - - - - 210 77 133 113 44 41 12 66 56 76- - - - - - - - - - - - - - 11% 8% 13% 20% 9% 9% 3% 11% 10% 11%

P STU U U


- - - - - - - - - - - - - - 195 78 117 88 48 38 22 73 53 50- - - - - - - - - - - - - - 10% 8% 11% 15% 9% 8% 5% 12% 9% 7%

p STU u X

Preventing crime

- - - - - - - - - - - - - - 189 79 110 89 44 41 15 71 43 56- - - - - - - - - - - - - - 10% 8% 11% 15% 9% 9% 4% 12% 7% 8%

STU U U W

Solving crime

- - - - - - - - - - - - - - 170 67 102 77 40 35 18 55 59 43- - - - - - - - - - - - - - 9% 7% 10% 13% 8% 8% 4% 9% 10% 6%

p STU u x


- - - - - - - - - - - - - - 166 65 101 87 36 33 10 60 48 46- - - - - - - - - - - - - - 8% 7% 10% 15% 7% 7% 2% 10% 8% 7%

p STU U U




19 Jun 2020Table 39POL06_1 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?







- - - - - - - - - - - - - - 687 351 335 161 155 182 190 183 200 259- - - - - - - - - - - - - - 35% 38% 33% 28% 30% 39% 45% 30% 34% 39%

q RS RS V

Excellent

- - - - - - - - - - - - - - 777 370 407 200 228 180 169 225 236 283- - - - - - - - - - - - - - 40% 40% 40% 35% 45% 39% 40% 38% 41% 42%

R

Pretty good

- - - - - - - - - - - - - - 333 146 188 127 89 67 50 132 97 81- - - - - - - - - - - - - - 17% 16% 18% 22% 18% 14% 12% 22% 17% 12%

TU u WX x

Only fair

- - - - - - - - - - - - - - 166 65 101 87 36 33 10 60 48 46- - - - - - - - - - - - - - 8% 7% 10% 15% 7% 7% 2% 10% 8% 7%

p STU U U

Poor

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Responding quickly to calls for help and assistance






- - - - - - - - - - - - - - 610 309 300 147 159 157 147 157 173 242- - - - - - - - - - - - - - 31% 33% 29% 26% 31% 34% 35% 26% 30% 36%

r R R Vw

Excellent

- - - - - - - - - - - - - - 833 396 437 216 218 195 204 246 251 298- - - - - - - - - - - - - - 42% 42% 42% 38% 43% 42% 49% 41% 43% 45%

R

Pretty good

- - - - - - - - - - - - - - 351 160 191 135 92 75 49 142 98 85- - - - - - - - - - - - - - 18% 17% 19% 23% 18% 16% 12% 24% 17% 13%

sTU U WX

Only fair

- - - - - - - - - - - - - - 170 67 102 77 40 35 18 55 59 43- - - - - - - - - - - - - - 9% 7% 10% 13% 8% 8% 4% 9% 10% 6%

p STU u x

Poor

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - - - - - 583 283 300 130 140 165 148 157 176 213- - - - - - - - - - - - - - 30% 30% 29% 23% 28% 36% 35% 26% 30% 32%

RS RS v

Excellent

- - - - - - - - - - - - - - 818 387 431 203 216 206 193 242 246 289- - - - - - - - - - - - - - 42% 42% 42% 35% 42% 45% 46% 40% 42% 43%

r R R

Pretty good

- - - - - - - - - - - - - - 352 185 167 128 109 51 64 134 103 91- - - - - - - - - - - - - - 18% 20% 16% 22% 21% 11% 15% 22% 18% 14%

q TU Tu wX

Only fair

- - - - - - - - - - - - - - 210 77 133 113 44 41 12 66 56 76- - - - - - - - - - - - - - 11% 8% 13% 20% 9% 9% 3% 11% 10% 11%

P STU U U

Poor

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - - - - - 579 293 286 132 141 154 152 153 167 224- - - - - - - - - - - - - - 29% 31% 28% 23% 28% 33% 36% 26% 29% 34%

R RS V

Excellent

- - - - - - - - - - - - - - 802 380 422 189 211 203 198 239 252 272- - - - - - - - - - - - - - 41% 41% 41% 33% 42% 44% 47% 40% 43% 41%

R R R

Pretty good

- - - - - - - - - - - - - - 367 180 187 140 115 58 53 138 94 112- - - - - - - - - - - - - - 19% 19% 18% 24% 23% 13% 13% 23% 16% 17%

TU TU WX

Only fair

- - - - - - - - - - - - - - 215 80 136 113 41 46 15 69 68 61- - - - - - - - - - - - - - 11% 9% 13% 20% 8% 10% 4% 12% 12% 9%

P STU U U

Poor

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Preventing crime






- - - - - - - - - - - - - - 474 273 201 121 135 110 108 119 129 193- - - - - - - - - - - - - - 24% 29% 20% 21% 27% 24% 26% 20% 22% 29%

Q r VW

Excellent

- - - - - - - - - - - - - - 895 408 487 225 227 220 223 262 287 311- - - - - - - - - - - - - - 46% 44% 47% 39% 45% 48% 53% 44% 49% 47%

R RS v

Pretty good

- - - - - - - - - - - - - - 399 173 226 140 99 95 65 146 112 114- - - - - - - - - - - - - - 20% 19% 22% 24% 19% 20% 16% 24% 19% 17%

U wX

Only fair

- - - - - - - - - - - - - - 195 78 117 88 48 38 22 73 53 50- - - - - - - - - - - - - - 10% 8% 11% 15% 9% 8% 5% 12% 9% 7%

p STU u X

Poor

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Solving crime






- - - - - - - - - - - - - - 478 272 206 129 137 103 109 120 121 208- - - - - - - - - - - - - - 24% 29% 20% 22% 27% 22% 26% 20% 21% 31%

Q VW

Excellent

- - - - - - - - - - - - - - 903 406 496 233 222 222 225 261 293 302- - - - - - - - - - - - - - 46% 44% 48% 41% 44% 48% 54% 44% 51% 45%

r RS V

Pretty good

- - - - - - - - - - - - - - 394 175 219 124 106 96 68 148 124 103- - - - - - - - - - - - - - 20% 19% 21% 22% 21% 21% 16% 25% 21% 15%

X X

Only fair

- - - - - - - - - - - - - - 189 79 110 89 44 41 15 71 43 56- - - - - - - - - - - - - - 10% 8% 11% 15% 9% 9% 4% 12% 7% 8%

STU U U W

Poor

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 45POL07 When police officers are charged with alleged misconduct, what kind of a committee do you think should judge them?






- - - - - - - - - - - - - - 1140 533 608 253 273 307 308 333 367 377- - - - - - - - - - - - - - 58% 57% 59% 44% 54% 66% 74% 56% 63% 56%

R RS RSt Vx

A committee formed ofboth police officers andcivilians

- - - - - - - - - - - - - - 359 187 172 144 98 69 48 101 110 139- - - - - - - - - - - - - - 18% 20% 17% 25% 19% 15% 11% 17% 19% 21%

sTU U

A committee formed onlyof civilians

- - - - - - - - - - - - - - 224 133 90 105 69 34 17 57 57 100- - - - - - - - - - - - - - 11% 14% 9% 18% 13% 7% 4% 9% 10% 15%

Q sTU TU u VW

A committee formed onlyof other police officers

- - - - - - - - - - - - - - 240 79 160 72 69 53 45 109 46 52- - - - - - - - - - - - - - 12% 8% 16% 13% 14% 11% 11% 18% 8% 8%

P WX

Not sure

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 46POL08 In terms of judging police officer misconduct, generally do you believe that the following would be too lenient, too

strict or about right in their judgement?

Summary Of Too Lenient






- - - - - - - - - - - - - - 973 434 538 234 216 270 253 289 306 326- - - - - - - - - - - - - - 50% 47% 52% 41% 42% 58% 61% 48% 53% 49%

P RS RS

Other police officers wouldbe

- - - - - - - - - - - - - - 235 144 91 106 79 24 25 63 46 117- - - - - - - - - - - - - - 12% 15% 9% 19% 16% 5% 6% 10% 8% 17%

Q TU TU VW

Civilians would be





Summary Of About Right






- - - - - - - - - - - - - - 1113 502 611 339 281 264 229 341 345 353- - - - - - - - - - - - - - 57% 54% 59% 59% 55% 57% 55% 57% 59% 53%

p x

Civilians would be

- - - - - - - - - - - - - - 790 401 389 248 231 161 150 246 223 272- - - - - - - - - - - - - - 40% 43% 38% 43% 45% 35% 36% 41% 38% 41%

q Tu TU

Other police officerswould be





Summary Of Too Strict






- - - - - - - - - - - - - - 616 287 329 129 148 175 163 196 190 199- - - - - - - - - - - - - - 31% 31% 32% 22% 29% 38% 39% 33% 33% 30%

R RS RS

Civilians would be

- - - - - - - - - - - - - - 200 97 103 92 62 31 15 65 52 70- - - - - - - - - - - - - - 10% 10% 10% 16% 12% 7% 4% 11% 9% 11%

TU TU

Other police officerswould be



19 Jun 2020Table 49POL08_1 In terms of judging police officer misconduct, generally do you believe that the following would be too lenient, too


Other police officers would be






- - - - - - - - - - - - - - 973 434 538 234 216 270 253 289 306 326- - - - - - - - - - - - - - 50% 47% 52% 41% 42% 58% 61% 48% 53% 49%

P RS RS

Too lenient

- - - - - - - - - - - - - - 790 401 389 248 231 161 150 246 223 272- - - - - - - - - - - - - - 40% 43% 38% 43% 45% 35% 36% 41% 38% 41%

q Tu TU

About right

- - - - - - - - - - - - - - 200 97 103 92 62 31 15 65 52 70- - - - - - - - - - - - - - 10% 10% 10% 16% 12% 7% 4% 11% 9% 11%

TU TU

Too strict

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 50POL08_2 In terms of judging police officer misconduct, generally do you believe that the following would be too lenient, too


Civilians would be






- - - - - - - - - - - - - - 235 144 91 106 79 24 25 63 46 117- - - - - - - - - - - - - - 12% 15% 9% 19% 16% 5% 6% 10% 8% 17%

Q TU TU VW

Too lenient

- - - - - - - - - - - - - - 1113 502 611 339 281 264 229 341 345 353- - - - - - - - - - - - - - 57% 54% 59% 59% 55% 57% 55% 57% 59% 53%

p x

About right

- - - - - - - - - - - - - - 616 287 329 129 148 175 163 196 190 199- - - - - - - - - - - - - - 31% 31% 32% 22% 29% 38% 39% 33% 33% 30%

R RS RS

Too strict

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 51POL09 Which of the following are more important to you?






- - - - - - - - - - - - - - 867 344 523 172 196 234 265 270 267 277- - - - - - - - - - - - - - 44% 37% 51% 30% 39% 51% 63% 45% 46% 42%

P R RS RST

Creating a reform to policedepartments but keeppolice departmentresources intact

- - - - - - - - - - - - - - 711 396 315 237 205 152 116 217 210 245- - - - - - - - - - - - - - 36% 42% 31% 41% 40% 33% 28% 36% 36% 37%

Q TU tU

Ensuring that policedepartments enforce lawand order as they havebeen

- - - - - - - - - - - - - - 385 192 193 165 107 77 36 113 103 147- - - - - - - - - - - - - - 20% 21% 19% 29% 21% 17% 9% 19% 18% 22%

STU U U

Defunding the police andcreating a new system ofpolicies for policedepartments

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma









- - - - - - - - - - - - - - 1004 487 518 391 294 184 136 283 282 388- - - - - - - - - - - - - - 51% 52% 50% 68% 58% 40% 32% 47% 49% 58%

STU TU u VW

Protecting the freedom,rights and safety of BlackLives Matter protests

- - - - - - - - - - - - - - 959 446 513 184 214 278 282 317 299 280- - - - - - - - - - - - - - 49% 48% 50% 32% 42% 60% 68% 53% 51% 42%

R RS RSt X X

Protecting private propertyfrom damage

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma









- - - - - - - - - - - - - - 1034 498 536 354 300 221 159 287 297 395- - - - - - - - - - - - - - 53% 53% 52% 62% 59% 48% 38% 48% 51% 59%

TU TU U VW

Protecting the freedom,rights and safety of BlackLives Matter protests

- - - - - - - - - - - - - - 929 434 495 221 208 241 259 313 284 274- - - - - - - - - - - - - - 47% 47% 48% 38% 41% 52% 62% 52% 49% 41%

RS RST X X

Banning protests toprevent the spread ofCOVID19

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 54Q3A Which of the following best describes your response to coronavirus?





- 2019 2023 2016 1993 2013 - - 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** 2019 2023 2016 1993 2013 -** -** 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- 1541 1684 1809 1890 1830 - - 1817 1758 1654 1691 1623 1614 1457 665 792 394 374 348 341 439 431 511- 76% 83% 90% 95% 91% - - 89% 85% 84% 85% 83% 82% 74% 71% 77% 69% 74% 75% 82% 73% 74% 76%

BO BCJKLMNO BCDFIJKLMNO BCJKLMNO BCJKLMNO BmNO BO BnO BO BO P r RSt

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

- 478 339 207 103 183 - - 222 308 307 305 342 355 506 267 239 180 135 114 76 161 150 157- 24% 17% 10% 5% 9% - - 11% 15% 16% 15% 17% 18% 26% 29% 23% 31% 26% 25% 18% 27% 26% 24%

CDEFIJKLMN DEFI E E E DEFI DEFI DEFI DEFIj DEFIJl CDEFIJKLMN Q tU U u

I have been leaving myresidence as I normallywould

- 2019 2023 2016 1993 2013 - - 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 55COV01 Which of the following best describes the situation of your state’s reopening?






- - - - - - - - - - - - - - 1509 692 816 397 384 375 352 463 466 508- - - - - - - - - - - - - - 77% 74% 79% 69% 75% 81% 84% 77% 80% 76%

P r Rs RS

My state has partiallyreopened

- - - - - - - - - - - - - - 303 137 166 107 73 67 56 107 77 90- - - - - - - - - - - - - - 15% 15% 16% 19% 14% 15% 13% 18% 13% 13%

u Wx

My state is fully reopened

- - - - - - - - - - - - - - 151 103 48 71 51 20 10 30 38 71- - - - - - - - - - - - - - 8% 11% 5% 12% 10% 4% 2% 5% 7% 11%

Q TU TU Vw

My state has not reopenedyet

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 56COV02 How much do you support or oppose your state’s approach to re-opening?






- - - - - - - - - - - - - - 1158 569 588 313 314 270 260 325 342 424- - - - - - - - - - - - - - 59% 61% 57% 55% 62% 58% 62% 54% 59% 63%

r r V


- - - - - - - - - - - - - - 395 202 193 109 108 93 86 113 109 146- - - - - - - - - - - - - - 20% 22% 19% 19% 21% 20% 20% 19% 19% 22%

Strongly support

- - - - - - - - - - - - - - 763 367 396 205 206 178 174 212 234 278- - - - - - - - - - - - - - 39% 39% 38% 36% 41% 38% 42% 35% 40% 42%

v

Somewhat support

- - - - - - - - - - - - - - 805 363 442 261 194 192 158 275 239 245- - - - - - - - - - - - - - 41% 39% 43% 45% 38% 42% 38% 46% 41% 37%

su X


- - - - - - - - - - - - - - 559 257 302 179 135 128 116 189 176 161- - - - - - - - - - - - - - 28% 28% 29% 31% 27% 28% 28% 31% 30% 24%

X x

Somewhat oppose

- - - - - - - - - - - - - - 246 106 140 82 59 64 42 86 63 83- - - - - - - - - - - - - - 13% 11% 14% 14% 12% 14% 10% 14% 11% 12%

w

Strongly oppose

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 57COV03 How effective do you think the lockdowns (e.g., closing of non-essential business and stay-home orders) were in your area?






- - - - - - - - - - - - - - 1517 722 795 392 403 379 343 442 456 543- - - - - - - - - - - - - - 77% 77% 77% 68% 79% 82% 82% 74% 79% 81%

R R R v V

Very/Somewhat Effective(Net)

- - - - - - - - - - - - - - 723 345 378 175 204 166 178 179 231 283- - - - - - - - - - - - - - 37% 37% 37% 31% 40% 36% 43% 30% 40% 42%

R R V V

Very effective

- - - - - - - - - - - - - - 793 377 416 217 199 213 165 263 225 260- - - - - - - - - - - - - - 40% 40% 40% 38% 39% 46% 40% 44% 39% 39%

Rs

Somewhat effective

- - - - - - - - - - - - - - 385 182 203 159 90 74 62 131 117 113- - - - - - - - - - - - - - 20% 19% 20% 28% 18% 16% 15% 22% 20% 17%

STU x

Not At All/Not VeryEffective (Net)

- - - - - - - - - - - - - - 244 112 132 101 65 40 38 83 73 79- - - - - - - - - - - - - - 12% 12% 13% 18% 13% 9% 9% 14% 13% 12%

sTU

Not very effective

- - - - - - - - - - - - - - 141 70 71 57 26 34 24 48 43 34- - - - - - - - - - - - - - 7% 8% 7% 10% 5% 7% 6% 8% 7% 5%

Su

Not at all effective

- - - - - - - - - - - - - - 61 28 33 24 15 9 13 27 8 13- - - - - - - - - - - - - - 3% 3% 3% 4% 3% 2% 3% 5% 1% 2%

WX

N/A - my area was neverunder lockdown

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 58COV04 How concerned are you of a new wave of COVID-19 outbreak in your area?






- - - - - - - - - - - - - - 1544 718 825 423 417 351 353 461 459 543- - - - - - - - - - - - - - 79% 77% 80% 74% 82% 76% 85% 77% 79% 81%

Rt RT

Very/SomewhatConcerned (Net)

- - - - - - - - - - - - - - 777 347 430 187 215 205 170 244 220 274- - - - - - - - - - - - - - 40% 37% 42% 33% 42% 44% 41% 41% 38% 41%

R R R

Very concerned

- - - - - - - - - - - - - - 767 371 396 236 201 146 184 217 239 268- - - - - - - - - - - - - - 39% 40% 38% 41% 40% 32% 44% 36% 41% 40%

T T T

Somewhat concerned

- - - - - - - - - - - - - - 419 214 205 152 92 111 64 138 122 126- - - - - - - - - - - - - - 21% 23% 20% 26% 18% 24% 15% 23% 21% 19%

SU sU

Not At All/Not VeryConcerned (Net)

- - - - - - - - - - - - - - 266 133 133 111 46 68 41 91 66 88- - - - - - - - - - - - - - 14% 14% 13% 19% 9% 15% 10% 15% 11% 13%

SU Su w

Not very concerned

- - - - - - - - - - - - - - 153 81 72 41 45 43 23 47 56 38- - - - - - - - - - - - - - 8% 9% 7% 7% 9% 9% 6% 8% 10% 6%

u X

Not at all concerned

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 59COV05 If there was a surge of cases of COVID-19 in your state, would you support or oppose another lock down/a lock down?






- - - - - - - - - - - - - - 1403 650 753 383 387 332 301 442 418 463- - - - - - - - - - - - - - 71% 70% 73% 67% 76% 72% 72% 74% 72% 69%

R


- - - - - - - - - - - - - - 704 315 389 179 190 168 167 226 214 221- - - - - - - - - - - - - - 36% 34% 38% 31% 37% 36% 40% 38% 37% 33%

r R

Strongly support

- - - - - - - - - - - - - - 699 335 364 204 197 164 135 216 205 243- - - - - - - - - - - - - - 36% 36% 35% 35% 39% 35% 32% 36% 35% 36%

u

Somewhat support

- - - - - - - - - - - - - - 560 283 278 192 122 130 117 158 162 205- - - - - - - - - - - - - - 29% 30% 27% 33% 24% 28% 28% 26% 28% 31%

S


- - - - - - - - - - - - - - 312 160 152 120 64 61 66 94 79 129- - - - - - - - - - - - - - 16% 17% 15% 21% 13% 13% 16% 16% 14% 19%

ST W

Somewhat oppose

- - - - - - - - - - - - - - 248 123 125 71 57 69 50 64 83 76- - - - - - - - - - - - - - 13% 13% 12% 12% 11% 15% 12% 11% 14% 11%

v

Strongly oppose

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 60COV06 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan on

continuing to do each of the following in the short term, medium term, long term?

Summary Of Short Term






- - - - - - - - - - - - - - 364 183 181 112 87 85 80 106 109 138- - - - - - - - - - - - - - 19% 20% 18% 19% 17% 18% 19% 18% 19% 21%

Leaving my residence aslittle as possible

- - - - - - - - - - - - - - 314 168 146 112 103 60 39 88 92 122- - - - - - - - - - - - - - 16% 18% 14% 19% 20% 13% 9% 15% 16% 18%

q TU TU

Order food for delivery

- - - - - - - - - - - - - - 311 149 163 96 76 74 66 92 88 118- - - - - - - - - - - - - - 16% 16% 16% 17% 15% 16% 16% 15% 15% 18%

Not have people over tomy home

- - - - - - - - - - - - - - 300 177 124 110 70 60 61 80 86 122- - - - - - - - - - - - - - 15% 19% 12% 19% 14% 13% 15% 13% 15% 18%

Q sT v

Cook the majority of mealsat home

- - - - - - - - - - - - - - 296 165 131 91 87 56 62 84 79 123- - - - - - - - - - - - - - 15% 18% 13% 16% 17% 12% 15% 14% 14% 18%

Q t w

Make sure my house isstocked withnon-perishable foods andcleaning products

- - - - - - - - - - - - - - 278 158 121 79 73 58 68 85 63 122- - - - - - - - - - - - - - 14% 17% 12% 14% 14% 13% 16% 14% 11% 18%

Q W

Wear PPE when I go out inpublic (e.g., face masks,gloves, etc)

- - - - - - - - - - - - - - 270 142 128 111 64 50 46 72 75 113- - - - - - - - - - - - - - 14% 15% 12% 19% 13% 11% 11% 12% 13% 17%

STU v

Save more spend less

- - - - - - - - - - - - - - 270 163 107 104 85 38 43 69 74 115- - - - - - - - - - - - - - 14% 17% 10% 18% 17% 8% 10% 12% 13% 17%

Q TU TU Vw

Buy products that boostmy/my family’s health andimmunity (e.g., orangejuice, vitamins, etc.)

- - - - - - - - - - - - - - 241 112 128 76 74 61 29 66 63 103- - - - - - - - - - - - - - 12% 12% 12% 13% 15% 13% 7% 11% 11% 15%

U U U vw

Cut non-essential leisuretravel

- - - - - - - - - - - - - - 237 143 94 100 82 32 22 60 66 107- - - - - - - - - - - - - - 12% 15% 9% 17% 16% 7% 5% 10% 11% 16%

Q TU TU Vw

Order groceries online forhome-delivery

- - - - - - - - - - - - - - 221 121 100 88 71 42 20 47 64 101- - - - - - - - - - - - - - 11% 13% 10% 15% 14% 9% 5% 8% 11% 15%

q TU tU U v V

Cut non-essential businesstravel

- - - - - - - - - - - - - - 218 121 97 105 63 26 23 52 64 101- - - - - - - - - - - - - - 11% 13% 9% 18% 12% 6% 6% 9% 11% 15%

q STU TU V

Host meetings virtually

- - - - - - - - - - - - - - 182 105 77 79 65 20 18 42 51 82- - - - - - - - - - - - - - 9% 11% 7% 14% 13% 4% 4% 7% 9% 12%

Q TU TU V

Virtual happy hours





Summary Of Short Term





-** -** -** -** -** -** -** -** -** -** -** -** -** -** 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - - - - - - - - - - - - - 181 109 72 72 61 25 23 42 49 81- - - - - - - - - - - - - - 9% 12% 7% 12% 12% 5% 5% 7% 8% 12%

Q TU TU V

Substitute short distanceflights with car travel





Summary Of Medium Term






- - - - - - - - - - - - - - 537 271 267 169 144 110 115 143 167 198- - - - - - - - - - - - - - 27% 29% 26% 29% 28% 24% 27% 24% 29% 30%

v v


- - - - - - - - - - - - - - 519 268 251 157 144 106 112 140 166 192- - - - - - - - - - - - - - 26% 29% 24% 27% 28% 23% 27% 23% 29% 29%

q v v


- - - - - - - - - - - - - - 496 255 240 171 119 100 106 140 147 185- - - - - - - - - - - - - - 25% 27% 23% 30% 23% 22% 25% 23% 25% 28%

sT


- - - - - - - - - - - - - - 483 265 218 188 116 82 97 113 150 206- - - - - - - - - - - - - - 25% 28% 21% 33% 23% 18% 23% 19% 26% 31%

Q STU V V


- - - - - - - - - - - - - - 470 246 225 172 120 88 91 123 140 185- - - - - - - - - - - - - - 24% 26% 22% 30% 24% 19% 22% 21% 24% 28%

q sTU V


- - - - - - - - - - - - - - 424 239 185 152 118 82 72 89 128 191- - - - - - - - - - - - - - 22% 26% 18% 26% 23% 18% 17% 15% 22% 29%

Q TU tu V VW

Cook the majority of mealsat home

- - - - - - - - - - - - - - 416 212 204 163 132 73 49 108 119 175- - - - - - - - - - - - - - 21% 23% 20% 28% 26% 16% 12% 18% 21% 26%

TU TU Vw


- - - - - - - - - - - - - - 393 212 181 162 119 74 38 101 106 173- - - - - - - - - - - - - - 20% 23% 18% 28% 23% 16% 9% 17% 18% 26%

Q TU TU U VW


- - - - - - - - - - - - - - 384 224 160 126 126 68 64 106 117 148- - - - - - - - - - - - - - 20% 24% 16% 22% 25% 15% 15% 18% 20% 22%

Q TU TU


- - - - - - - - - - - - - - 368 198 170 169 104 50 44 81 109 165- - - - - - - - - - - - - - 19% 21% 16% 29% 21% 11% 11% 14% 19% 25%

Q STU TU V Vw


- - - - - - - - - - - - - - 343 205 138 144 89 56 55 89 90 147- - - - - - - - - - - - - - 17% 22% 13% 25% 18% 12% 13% 15% 16% 22%

Q STU t VW


- - - - - - - - - - - - - - 322 184 138 139 104 50 29 83 79 149- - - - - - - - - - - - - - 16% 20% 13% 24% 20% 11% 7% 14% 14% 22%

Q TU TU VW


- - - - - - - - - - - - - - 303 188 115 135 106 35 28 80 75 143- - - - - - - - - - - - - - 15% 20% 11% 24% 21% 7% 7% 13% 13% 21%

Q TU TU VW






Summary Of Medium Term





-** -** -** -** -** -** -** -** -** -** -** -** -** -** 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - - - - - - - - - - - - - 298 192 106 134 89 51 25 74 85 127- - - - - - - - - - - - - - 15% 21% 10% 23% 17% 11% 6% 12% 15% 19%

Q sTU TU U V

Virtual happy hours





Summary Of Long Term






- - - - - - - - - - - - - - 996 407 590 224 259 272 242 344 305 288- - - - - - - - - - - - - - 51% 44% 57% 39% 51% 59% 58% 57% 52% 43%

P R Rs Rs X X

Cook the majority ofmeals at home

- - - - - - - - - - - - - - 929 382 548 225 256 253 195 276 291 310- - - - - - - - - - - - - - 47% 41% 53% 39% 50% 55% 47% 46% 50% 46%

P R Ru r


- - - - - - - - - - - - - - 922 380 542 209 256 254 203 285 285 303- - - - - - - - - - - - - - 47% 41% 53% 36% 50% 55% 49% 48% 49% 45%

P R R R


- - - - - - - - - - - - - - 870 376 495 209 232 237 194 280 268 272- - - - - - - - - - - - - - 44% 40% 48% 36% 46% 51% 46% 47% 46% 41%

P R R R x


- - - - - - - - - - - - - - 837 359 478 202 227 213 195 259 277 262- - - - - - - - - - - - - - 43% 39% 46% 35% 45% 46% 47% 43% 48% 39%

P R R R X


- - - - - - - - - - - - - - 708 324 385 174 181 177 176 219 237 219- - - - - - - - - - - - - - 36% 35% 37% 30% 36% 38% 42% 37% 41% 33%

R R X


- - - - - - - - - - - - - - 672 284 388 170 172 173 156 226 212 202- - - - - - - - - - - - - - 34% 30% 38% 30% 34% 37% 37% 38% 37% 30%

P R R X x


- - - - - - - - - - - - - - 633 288 345 173 170 153 137 203 197 204- - - - - - - - - - - - - - 32% 31% 33% 30% 33% 33% 33% 34% 34% 31%


- - - - - - - - - - - - - - 629 282 348 152 179 174 124 157 201 240- - - - - - - - - - - - - - 32% 30% 34% 27% 35% 38% 30% 26% 35% 36%

R Ru V V


- - - - - - - - - - - - - - 558 275 283 170 167 143 78 154 172 205- - - - - - - - - - - - - - 28% 29% 27% 30% 33% 31% 19% 26% 30% 31%

U U U


- - - - - - - - - - - - - - 516 242 274 174 149 124 68 155 159 176- - - - - - - - - - - - - - 26% 26% 27% 30% 29% 27% 16% 26% 27% 26%

U U U


- - - - - - - - - - - - - - 495 231 264 141 156 121 77 118 154 201- - - - - - - - - - - - - - 25% 25% 26% 25% 31% 26% 18% 20% 27% 30%

u rU U V V


- - - - - - - - - - - - - - 458 219 239 155 141 86 75 130 140 162- - - - - - - - - - - - - - 23% 23% 23% 27% 28% 19% 18% 22% 24% 24%

TU TU






Summary Of Long Term





-** -** -** -** -** -** -** -** -** -** -** -** -** -** 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - - - - - - - - - - - - - 369 177 192 132 126 75 37 105 103 148- - - - - - - - - - - - - - 19% 19% 19% 23% 25% 16% 9% 18% 18% 22%

TU TU U

Virtual happy hours



19 Jun 2020Table 63COV06_1 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan on


Cook the majority of meals at home






- - - - - - - - - - - - - - 300 177 124 110 70 60 61 80 86 122- - - - - - - - - - - - - - 15% 19% 12% 19% 14% 13% 15% 13% 15% 18%

Q sT v

Short term (1-30 days)

- - - - - - - - - - - - - - 424 239 185 152 118 82 72 89 128 191- - - - - - - - - - - - - - 22% 26% 18% 26% 23% 18% 17% 15% 22% 29%

Q TU tu V VW

Medium term (2-5 months)

- - - - - - - - - - - - - - 996 407 590 224 259 272 242 344 305 288- - - - - - - - - - - - - - 51% 44% 57% 39% 51% 59% 58% 57% 52% 43%

P R Rs Rs X X

Long term (6 months orlonger)

- - - - - - - - - - - - - - 122 58 64 42 34 24 22 46 32 38- - - - - - - - - - - - - - 6% 6% 6% 7% 7% 5% 5% 8% 6% 6%

N/A - I will not continue todo this

- - - - - - - - - - - - - - 121 53 68 47 28 24 22 41 30 29- - - - - - - - - - - - - - 6% 6% 7% 8% 5% 5% 5% 7% 5% 4%

N/A - I have never donethis

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Order groceries online for home-delivery






- - - - - - - - - - - - - - 237 143 94 100 82 32 22 60 66 107- - - - - - - - - - - - - - 12% 15% 9% 17% 16% 7% 5% 10% 11% 16%

Q TU TU Vw


- - - - - - - - - - - - - - 322 184 138 139 104 50 29 83 79 149- - - - - - - - - - - - - - 16% 20% 13% 24% 20% 11% 7% 14% 14% 22%

Q TU TU VW


- - - - - - - - - - - - - - 458 219 239 155 141 86 75 130 140 162- - - - - - - - - - - - - - 23% 23% 23% 27% 28% 19% 18% 22% 24% 24%

TU TU


- - - - - - - - - - - - - - 155 82 73 54 39 36 27 55 44 48- - - - - - - - - - - - - - 8% 9% 7% 9% 8% 8% 6% 9% 8% 7%


- - - - - - - - - - - - - - 792 305 487 127 142 258 264 272 251 202- - - - - - - - - - - - - - 40% 33% 47% 22% 28% 56% 63% 45% 43% 30%

P r RS RSt X X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - - - - - - - - 314 168 146 112 103 60 39 88 92 122- - - - - - - - - - - - - - 16% 18% 14% 19% 20% 13% 9% 15% 16% 18%

q TU TU


- - - - - - - - - - - - - - 416 212 204 163 132 73 49 108 119 175- - - - - - - - - - - - - - 21% 23% 20% 28% 26% 16% 12% 18% 21% 26%

TU TU Vw


- - - - - - - - - - - - - - 516 242 274 174 149 124 68 155 159 176- - - - - - - - - - - - - - 26% 26% 27% 30% 29% 27% 16% 26% 27% 26%

U U U


- - - - - - - - - - - - - - 147 75 72 54 40 20 34 52 52 34- - - - - - - - - - - - - - 8% 8% 7% 9% 8% 4% 8% 9% 9% 5%

T t t x X


- - - - - - - - - - - - - - 570 235 335 71 84 185 229 197 158 162- - - - - - - - - - - - - - 29% 25% 32% 12% 17% 40% 55% 33% 27% 24%

P RS RST WX


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - - - - - - - - 218 121 97 105 63 26 23 52 64 101- - - - - - - - - - - - - - 11% 13% 9% 18% 12% 6% 6% 9% 11% 15%

q STU TU V


- - - - - - - - - - - - - - 393 212 181 162 119 74 38 101 106 173- - - - - - - - - - - - - - 20% 23% 18% 28% 23% 16% 9% 17% 18% 26%

Q TU TU U VW


- - - - - - - - - - - - - - 495 231 264 141 156 121 77 118 154 201- - - - - - - - - - - - - - 25% 25% 26% 25% 31% 26% 18% 20% 27% 30%

u rU U V V


- - - - - - - - - - - - - - 135 73 62 49 38 28 20 47 39 36- - - - - - - - - - - - - - 7% 8% 6% 8% 7% 6% 5% 8% 7% 5%

u


- - - - - - - - - - - - - - 723 296 427 118 132 213 260 283 218 157- - - - - - - - - - - - - - 37% 32% 41% 21% 26% 46% 62% 47% 37% 24%

P r RS RST WX X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Cut non-essential leisure travel






- - - - - - - - - - - - - - 241 112 128 76 74 61 29 66 63 103- - - - - - - - - - - - - - 12% 12% 12% 13% 15% 13% 7% 11% 11% 15%

U U U vw


- - - - - - - - - - - - - - 483 265 218 188 116 82 97 113 150 206- - - - - - - - - - - - - - 25% 28% 21% 33% 23% 18% 23% 19% 26% 31%

Q STU V V


- - - - - - - - - - - - - - 708 324 385 174 181 177 176 219 237 219- - - - - - - - - - - - - - 36% 35% 37% 30% 36% 38% 42% 37% 41% 33%

R R X


- - - - - - - - - - - - - - 188 89 100 52 61 39 36 66 49 60- - - - - - - - - - - - - - 10% 10% 10% 9% 12% 9% 9% 11% 8% 9%


- - - - - - - - - - - - - - 343 143 200 85 75 103 80 136 82 80- - - - - - - - - - - - - - 17% 15% 19% 15% 15% 22% 19% 23% 14% 12%

p RS WX


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Cut non-essential business travel






- - - - - - - - - - - - - - 221 121 100 88 71 42 20 47 64 101- - - - - - - - - - - - - - 11% 13% 10% 15% 14% 9% 5% 8% 11% 15%

q TU tU U v V


- - - - - - - - - - - - - - 303 188 115 135 106 35 28 80 75 143- - - - - - - - - - - - - - 15% 20% 11% 24% 21% 7% 7% 13% 13% 21%

Q TU TU VW


- - - - - - - - - - - - - - 558 275 283 170 167 143 78 154 172 205- - - - - - - - - - - - - - 28% 29% 27% 30% 33% 31% 19% 26% 30% 31%

U U U


- - - - - - - - - - - - - - 164 84 80 54 48 42 20 53 41 50- - - - - - - - - - - - - - 8% 9% 8% 9% 9% 9% 5% 9% 7% 8%

U U u


- - - - - - - - - - - - - - 716 264 452 127 116 200 272 265 229 168- - - - - - - - - - - - - - 36% 28% 44% 22% 23% 43% 65% 44% 39% 25%

P RS RST X X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Substitute short distance flights with car travel






- - - - - - - - - - - - - - 181 109 72 72 61 25 23 42 49 81- - - - - - - - - - - - - - 9% 12% 7% 12% 12% 5% 5% 7% 8% 12%

Q TU TU V


- - - - - - - - - - - - - - 368 198 170 169 104 50 44 81 109 165- - - - - - - - - - - - - - 19% 21% 16% 29% 21% 11% 11% 14% 19% 25%

Q STU TU V Vw


- - - - - - - - - - - - - - 629 282 348 152 179 174 124 157 201 240- - - - - - - - - - - - - - 32% 30% 34% 27% 35% 38% 30% 26% 35% 36%

R Ru V V


- - - - - - - - - - - - - - 155 77 78 62 36 33 24 68 41 35- - - - - - - - - - - - - - 8% 8% 8% 11% 7% 7% 6% 11% 7% 5%

sU WX


- - - - - - - - - - - - - - 630 267 363 120 128 180 202 252 181 148- - - - - - - - - - - - - - 32% 29% 35% 21% 25% 39% 48% 42% 31% 22%

P RS RST WX X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - - - - - - - - 270 142 128 111 64 50 46 72 75 113- - - - - - - - - - - - - - 14% 15% 12% 19% 13% 11% 11% 12% 13% 17%

STU v


- - - - - - - - - - - - - - 384 224 160 126 126 68 64 106 117 148- - - - - - - - - - - - - - 20% 24% 16% 22% 25% 15% 15% 18% 20% 22%

Q TU TU


- - - - - - - - - - - - - - 929 382 548 225 256 253 195 276 291 310- - - - - - - - - - - - - - 47% 41% 53% 39% 50% 55% 47% 46% 50% 46%

P R Ru r


- - - - - - - - - - - - - - 138 72 65 59 21 35 23 51 31 45- - - - - - - - - - - - - - 7% 8% 6% 10% 4% 7% 6% 8% 5% 7%

SU s w


- - - - - - - - - - - - - - 242 113 129 54 41 58 89 95 66 52- - - - - - - - - - - - - - 12% 12% 13% 9% 8% 12% 21% 16% 11% 8%

s RST WX x


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Virtual happy hours






- - - - - - - - - - - - - - 182 105 77 79 65 20 18 42 51 82- - - - - - - - - - - - - - 9% 11% 7% 14% 13% 4% 4% 7% 9% 12%

Q TU TU V


- - - - - - - - - - - - - - 298 192 106 134 89 51 25 74 85 127- - - - - - - - - - - - - - 15% 21% 10% 23% 17% 11% 6% 12% 15% 19%

Q sTU TU U V


- - - - - - - - - - - - - - 369 177 192 132 126 75 37 105 103 148- - - - - - - - - - - - - - 19% 19% 19% 23% 25% 16% 9% 18% 18% 22%

TU TU U


- - - - - - - - - - - - - - 159 90 69 70 37 34 18 43 44 64- - - - - - - - - - - - - - 8% 10% 7% 12% 7% 7% 4% 7% 8% 10%

q STU


- - - - - - - - - - - - - - 955 368 587 160 192 283 320 335 298 247- - - - - - - - - - - - - - 49% 40% 57% 28% 38% 61% 77% 56% 51% 37%

P R RS RST X X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Leaving my residence as little as possible






- - - - - - - - - - - - - - 364 183 181 112 87 85 80 106 109 138- - - - - - - - - - - - - - 19% 20% 18% 19% 17% 18% 19% 18% 19% 21%


- - - - - - - - - - - - - - 537 271 267 169 144 110 115 143 167 198- - - - - - - - - - - - - - 27% 29% 26% 29% 28% 24% 27% 24% 29% 30%

v v


- - - - - - - - - - - - - - 672 284 388 170 172 173 156 226 212 202- - - - - - - - - - - - - - 34% 30% 38% 30% 34% 37% 37% 38% 37% 30%

P R R X x


- - - - - - - - - - - - - - 195 98 97 62 65 45 23 59 51 63- - - - - - - - - - - - - - 10% 11% 9% 11% 13% 10% 6% 10% 9% 9%

U U u


- - - - - - - - - - - - - - 195 97 98 62 41 49 43 65 41 67- - - - - - - - - - - - - - 10% 10% 10% 11% 8% 11% 10% 11% 7% 10%

W


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Not have people over to my home






- - - - - - - - - - - - - - 311 149 163 96 76 74 66 92 88 118- - - - - - - - - - - - - - 16% 16% 16% 17% 15% 16% 16% 15% 15% 18%


- - - - - - - - - - - - - - 519 268 251 157 144 106 112 140 166 192- - - - - - - - - - - - - - 26% 29% 24% 27% 28% 23% 27% 23% 29% 29%

q v v


- - - - - - - - - - - - - - 633 288 345 173 170 153 137 203 197 204- - - - - - - - - - - - - - 32% 31% 33% 30% 33% 33% 33% 34% 34% 31%


- - - - - - - - - - - - - - 239 107 132 83 66 53 38 59 62 102- - - - - - - - - - - - - - 12% 12% 13% 14% 13% 11% 9% 10% 11% 15%

U Vw


- - - - - - - - - - - - - - 260 120 140 66 53 76 64 107 68 52- - - - - - - - - - - - - - 13% 13% 14% 12% 10% 17% 15% 18% 12% 8%

rS s WX x


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Wear PPE when I go out in public (e.g., face masks, gloves, etc)






- - - - - - - - - - - - - - 278 158 121 79 73 58 68 85 63 122- - - - - - - - - - - - - - 14% 17% 12% 14% 14% 13% 16% 14% 11% 18%

Q W


- - - - - - - - - - - - - - 496 255 240 171 119 100 106 140 147 185- - - - - - - - - - - - - - 25% 27% 23% 30% 23% 22% 25% 23% 25% 28%

sT


- - - - - - - - - - - - - - 837 359 478 202 227 213 195 259 277 262- - - - - - - - - - - - - - 43% 39% 46% 35% 45% 46% 47% 43% 48% 39%

P R R R X


- - - - - - - - - - - - - - 150 70 80 60 41 31 18 50 43 46- - - - - - - - - - - - - - 8% 8% 8% 10% 8% 7% 4% 8% 7% 7%

U u


- - - - - - - - - - - - - - 201 90 112 63 49 59 30 66 51 53- - - - - - - - - - - - - - 10% 10% 11% 11% 10% 13% 7% 11% 9% 8%

u U


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Make sure my house is stocked with non-perishable foods and cleaning products






- - - - - - - - - - - - - - 296 165 131 91 87 56 62 84 79 123- - - - - - - - - - - - - - 15% 18% 13% 16% 17% 12% 15% 14% 14% 18%

Q t w


- - - - - - - - - - - - - - 470 246 225 172 120 88 91 123 140 185- - - - - - - - - - - - - - 24% 26% 22% 30% 24% 19% 22% 21% 24% 28%

q sTU V


- - - - - - - - - - - - - - 870 376 495 209 232 237 194 280 268 272- - - - - - - - - - - - - - 44% 40% 48% 36% 46% 51% 46% 47% 46% 41%

P R R R x


- - - - - - - - - - - - - - 128 63 65 56 34 25 13 38 38 43- - - - - - - - - - - - - - 7% 7% 6% 10% 7% 5% 3% 6% 7% 6%

TU U


- - - - - - - - - - - - - - 198 82 115 47 35 57 58 75 56 46- - - - - - - - - - - - - - 10% 9% 11% 8% 7% 12% 14% 12% 10% 7%

rS RS X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Buy products that boost my/my family’s health and immunity (e.g., orange juice, vitamins, etc.)






- - - - - - - - - - - - - - 270 163 107 104 85 38 43 69 74 115- - - - - - - - - - - - - - 14% 17% 10% 18% 17% 8% 10% 12% 13% 17%

Q TU TU Vw


- - - - - - - - - - - - - - 343 205 138 144 89 56 55 89 90 147- - - - - - - - - - - - - - 17% 22% 13% 25% 18% 12% 13% 15% 16% 22%

Q STU t VW


- - - - - - - - - - - - - - 922 380 542 209 256 254 203 285 285 303- - - - - - - - - - - - - - 47% 41% 53% 36% 50% 55% 49% 48% 49% 45%

P R R R


- - - - - - - - - - - - - - 107 53 54 45 27 19 16 48 28 23- - - - - - - - - - - - - - 5% 6% 5% 8% 5% 4% 4% 8% 5% 3%

tU WX


- - - - - - - - - - - - - - 321 132 189 72 51 96 102 109 104 81- - - - - - - - - - - - - - 16% 14% 18% 13% 10% 21% 24% 18% 18% 12%

P RS RS X X


- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 77NAM01 Which of the following best describes the industry you currently work in/associate with? If you work more than one job,

please think of the one you work the most hours at when answering.

Base: Employed




- - - - - - - - - - 1130 - - - 1082 539 543 421 365 233 63 357 389 303Unweighted Base-** -** -** -** -** -** -** -** -** -** 1096 -** -** -** 1115 602 513 389 379 279 67* 268 326 480Weighted Base

- - - - - - - - - - 110 - - - 123 43 79 52 37 30 3 28 34 56- - - - - - - - - - 10% - - - 11% 7% 15% 13% 10% 11% 5% 10% 11% 12%

P

Healthcare

- - - - - - - - - - 109 - - - 112 34 77 26 32 46 7 28 34 46- - - - - - - - - - 10% - - - 10% 6% 15% 7% 8% 16% 11% 10% 10% 10%

P RS

Education

- - - - - - - - - - 139 - - - 111 87 23 50 44 16 1 16 20 74- - - - - - - - - - 13% - - - 10% 15% 5% 13% 11% 6% 2% 6% 6% 15%

Q TU tu VW

Technology

- - - - - - - - - - 122 - - - 103 54 49 59 21 16 7 33 28 36- - - - - - - - - - 11% - - - 9% 9% 10% 15% 6% 6% 11% 12% 9% 8%

ST x

Retail

- - - - - - - - - - 104 - - - 100 72 29 20 53 23 4 10 33 56- - - - - - - - - - 10% - - - 9% 12% 6% 5% 14% 8% 6% 4% 10% 12%

Q Rt V V

Manufacturing/Construction

- - - - - - - - - - 75 - - - 93 73 21 28 47 17 1 9 21 62- - - - - - - - - - 7% - - - 8% 12% 4% 7% 12% 6% 2% 3% 7% 13%

Q RTU v VW

Banking/FinancialServices

- - - - - - - - - - 58 - - - 71 33 37 28 15 23 5 8 16 45- - - - - - - - - - 5% - - - 6% 6% 7% 7% 4% 8% 7% 3% 5% 9%

s Vw

Professional/BusinessServices

- - - - - - - - - - 37 - - - 39 21 18 22 13 4 * 23 9 5- - - - - - - - - - 3% - - - 3% 4% 3% 6% 3% 1% 1% 8% 3% 1%

T WX

Food Services (restaurants,quick service, catering,etc.)

- - - - - - - - - - 38 - - - 38 20 19 12 16 10 * 11 13 13- - - - - - - - - - 3% - - - 3% 3% 4% 3% 4% 3% 1% 4% 4% 3%

State or Local Government

- - - - - - - - - - 28 - - - 34 16 18 12 11 7 4 15 11 7- - - - - - - - - - 3% - - - 3% 3% 3% 3% 3% 3% 5% 5% 3% 1%

X

Hospitality (hotels,entertainment, etc.)

- - - - - - - - - - 29 - - - 26 17 9 10 7 6 3 8 9 9- - - - - - - - - - 3% - - - 2% 3% 2% 2% 2% 2% 5% 3% 3% 2%

Logistics/Trucking

- - - - - - - - - - 23 - - - 22 16 6 12 6 * 3 8 9 5- - - - - - - - - - 2% - - - 2% 3% 1% 3% 1% * 5% 3% 3% 1%

T T x

Public Safety

- - - - - - - - - - 17 - - - 16 10 6 7 5 3 2 8 6 3- - - - - - - - - - 2% - - - 1% 2% 1% 2% 1% 1% 3% 3% 2% 1%

x

Legal

- - - - - - - - - - 205 - - - 226 105 121 53 72 77 25 65 83 62- - - - - - - - - - 19% - - - 20% 17% 24% 14% 19% 28% 37% 24% 25% 13%

P RS RS X X

Other

- - - - - - - - - - 1096 - - - 1115 602 513 389 379 279 67 268 326 480- - - - - - - - - - 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


19 Jun 2020Table 77NAM01 Which of the following best describes the industry you currently work in/associate with? If you work more than one job,

please think of the one you work the most hours at when answering.

Base: Employed




-** -** -** -** -** -** -** -** -** -** 1096 -** -** -** 1115 602 513 389 379 279 67* 268 326 480Weighted 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. * small base; ** very small base (under 30) ineligible for sig testing


19 Jun 2020Table 78NAM02 Does your job allow you to work remotely?

Base: Employed




- - - - - - - - - - 1130 - - - 1082 539 543 421 365 233 63 357 389 303Unweighted Base-** -** -** -** -** -** -** -** -** -** 1096 -** -** -** 1115 602 513 389 379 279 67* 268 326 480Weighted Base

- - - - - - - - - - 714 - - - 749 415 334 272 267 174 36 128 202 385- - - - - - - - - - 65% - - - 67% 69% 65% 70% 70% 62% 53% 48% 62% 80%

U U V VW

Yes

- - - - - - - - - - 382 - - - 366 187 179 117 113 105 31 140 124 95- - - - - - - - - - 35% - - - 33% 31% 35% 30% 30% 38% 47% 52% 38% 20%

RS WX X

No

- - - - - - - - - - 1096 - - - 1115 602 513 389 379 279 67 268 326 480- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 79BHV02 Which of the following actions will make you comfortable to do certain activities (e.g., fly, go to the gym, go to

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





- - - - - 2013 - - 2039 - 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** 2013 -** -** 2039 -** 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - 1064 - - 1163 - 1088 1124 1057 1082 996 428 568 254 255 247 240 280 318 348- - - - - 53% - - 57% - 55% 56% 54% 55% 51% 46% 55% 44% 50% 53% 57% 47% 55% 52%

FO O fO O P R Rs V

Extreme cleaning of thefacility

- - - - - 1255 - - 1119 - 1034 1032 1071 1039 962 453 509 225 235 225 278 261 319 343- - - - - 62% - - 55% - 53% 52% 54% 53% 49% 49% 49% 39% 46% 49% 67% 44% 55% 51%

IKLMNO O o O o r R RST V V

A vaccine has been created

- - - - - 737 - - 1010 - 920 974 950 1029 860 377 483 212 216 210 221 263 276 282- - - - - 37% - - 50% - 47% 49% 48% 52% 44% 40% 47% 37% 43% 46% 53% 44% 48% 42%

FO F FO FO FKlmO F P R RSt

Mandatory face coveringsfor workers and patrons

- - - - - 705 - - 936 - 944 962 973 998 794 323 471 180 193 208 213 218 258 283- - - - - 35% - - 46% - 48% 48% 50% 51% 40% 35% 46% 31% 38% 45% 51% 36% 44% 42%

FO FO FO FiO FIO F P r Rs RS V v

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

- - - - - 688 - - 856 - 881 861 875 879 730 306 424 177 181 184 188 216 234 245- - - - - 34% - - 42% - 45% 43% 45% 45% 37% 33% 41% 31% 36% 40% 45% 36% 40% 37%

FO FO FO FO FO P R RS

Mandatory occupancylimits

- - - - - 968 - - 882 - 825 757 786 831 698 334 364 211 163 148 175 201 230 235- - - - - 48% - - 43% - 42% 38% 40% 42% 36% 36% 35% 37% 32% 32% 42% 33% 40% 35%

IKLMNO LO LO O LO ST V

Covid19 testing given toeveryone

- - - - - 493 - - 497 - 533 528 588 625 517 258 260 145 140 118 114 125 174 196- - - - - 25% - - 24% - 27% 26% 30% 32% 26% 28% 25% 25% 28% 26% 27% 21% 30% 29%

FIlo FIKLO V V

Thermal testing of thefacility

- - - - - 92 - - 106 - 138 107 117 100 118 69 49 51 28 29 11 28 28 48- - - - - 5% - - 5% - 7% 5% 6% 5% 6% 7% 5% 9% 6% 6% 3% 5% 5% 7%

FilN Q U u U

Other

- - - - - 254 - - 231 - 224 231 257 215 264 120 144 68 66 71 59 105 70 58- - - - - 13% - - 11% - 11% 12% 13% 11% 13% 13% 14% 12% 13% 15% 14% 18% 12% 9%

n WX

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

- - - - - 6258 - - 6801 - 6587 6577 6675 6799 5940 2668 3272 1523 1478 1440 1498 1698 1907 2036- - - - - 311% - - 334% - 336% 330% 340% 345% 303% 286% 317% 265% 291% 312% 359% 283% 328% 305%

Sigma



19 Jun 2020Table 80NAM10 To strengthen manufacturing in America, what actions would you support policymakers taking? Please select all that apply.





- - - - - - - - - - 1961 - - - 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** -** -** -** -** -** 1961 -** -** -** 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - - - - - - 1091 - - - 1075 518 557 241 285 279 270 321 326 385- - - - - - - - - - 56% - - - 55% 56% 54% 42% 56% 60% 65% 53% 56% 58%

R R RS

Provide incentives to helpcompanies recruit, trainand retain skilledAmerican workers.

- - - - - - - - - - 1003 - - - 989 485 504 254 239 245 252 269 294 390- - - - - - - - - - 51% - - - 50% 52% 49% 44% 47% 53% 60% 45% 51% 58%

R RSt v VW

Make a new system of taxcredits available tomanufacturers that expandin the United States to spurinnovation and productionin America.

- - - - - - - - - - 906 - - - 779 394 385 202 196 190 192 212 240 285- - - - - - - - - - 46% - - - 40% 42% 37% 35% 39% 41% 46% 35% 41% 43%

O q Rs v V

Require Americancompanies with theessential manufacturingand technology departChina to help rebuild theAmerican economy.

- - - - - - - - - - 268 - - - 268 108 160 94 73 59 43 106 65 63- - - - - - - - - - 14% - - - 14% 12% 16% 16% 14% 13% 10% 18% 11% 9%

P U WX

None of these

- - - - - - - - - - 3267 - - - 3112 1506 1606 790 793 772 757 908 925 1123- - - - - - - - - - 167% - - - 159% 161% 156% 138% 156% 167% 181% 151% 159% 168%

Sigma



19 Jun 2020Table 81NAM06 Do you support or oppose reforms so that companies that have been designated as essential businesses and have made a

good-faith effort to comply with varying state and federal regulations are protected against costly lawsuits associated with their response to COVID-19?






- - - - - - - - - - 1393 - - - 1489 688 801 348 396 378 368 455 446 505- - - - - - - - - - 71% - - - 76% 74% 78% 61% 78% 82% 88% 76% 77% 76%

K R R RST


- - - - - - - - - - 492 - - - 577 307 270 85 149 183 161 163 167 216- - - - - - - - - - 25% - - - 29% 33% 26% 15% 29% 40% 38% 27% 29% 32%

K Q R RS RS

Strongly support

- - - - - - - - - - 902 - - - 912 381 531 263 247 195 207 292 279 289- - - - - - - - - - 46% - - - 46% 41% 52% 46% 49% 42% 50% 49% 48% 43%

P t

Somewhat support

- - - - - - - - - - 568 - - - 474 244 230 227 113 84 50 145 135 163- - - - - - - - - - 29% - - - 24% 26% 22% 39% 22% 18% 12% 24% 23% 24%

O STU U U


- - - - - - - - - - 385 - - - 330 160 170 149 86 59 36 95 97 112- - - - - - - - - - 20% - - - 17% 17% 16% 26% 17% 13% 9% 16% 17% 17%

o STU U

Somewhat oppose

- - - - - - - - - - 183 - - - 144 84 60 78 26 25 14 50 38 51- - - - - - - - - - 9% - - - 7% 9% 6% 14% 5% 5% 3% 8% 6% 8%

o Q STU

Strongly oppose

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 82NAM07 Which of the following would make you more likely to support reforms under consideration in Congress to provide legal

protection for essential businesses against unfair litigation related to COVID19 (e.g., employee lawsuits for unsafeworking conditions) as they reopen and bring workers back? Please select all that apply.






- - - - - - - - - - 1101 - - - 963 403 560 195 243 259 267 274 294 351- - - - - - - - - - 56% - - - 49% 43% 54% 34% 48% 56% 64% 46% 51% 52%

O P R RS RSt v

Companies that aredemonstrating how theyare taking accountabilityfor employee safety

- - - - - - - - - - 934 - - - 903 407 496 244 241 222 197 272 283 312- - - - - - - - - - 48% - - - 46% 44% 48% 42% 47% 48% 47% 45% 49% 47%

Honest and opencommunication about blindspots and areas needingimprovement

- - - - - - - - - - 899 - - - 851 416 435 241 242 199 168 233 243 345- - - - - - - - - - 46% - - - 43% 45% 42% 42% 48% 43% 40% 39% 42% 52%

u VW

Transparent messaging thatoutlines the legalrequirements for essentialbusinesses and the specificimplications associatedwith their compliance

- - - - - - - - - - 780 - - - 746 346 400 208 203 181 155 204 239 265- - - - - - - - - - 40% - - - 38% 37% 39% 36% 40% 39% 37% 34% 41% 40%

V

Companies that share howtheir business is givingback to and safeguardingsociety

- - - - - - - - - - 95 - - - 110 53 57 43 36 22 9 31 27 36- - - - - - - - - - 5% - - - 6% 6% 6% 8% 7% 5% 2% 5% 5% 5%

U U

Other

- - - - - - - - - - 298 - - - 319 131 187 87 70 81 79 117 90 79- - - - - - - - - - 15% - - - 16% 14% 18% 15% 14% 18% 19% 20% 15% 12%

p s wX

N/A - Nothing would makeme more likely to supportreforms to provide legalprotection for essentialbusinesses against unfairlitigation related toCOVID-19

- - - - - - - - - - 4106 - - - 3892 1756 2136 1018 1034 963 876 1131 1175 1387- - - - - - - - - - 209% - - - 198% 188% 207% 177% 204% 208% 210% 189% 202% 207%

Sigma



19 Jun 2020Table 83NAM09 How much do you support or oppose mandates requiring manufacturing to return production to the US?






- - - - - - - - - - 1446 - - - 1547 732 816 409 414 380 344 472 444 537- - - - - - - - - - 74% - - - 79% 78% 79% 71% 82% 82% 82% 79% 77% 80%

K R R R


- - - - - - - - - - 610 - - - 642 319 323 139 172 186 146 204 179 216- - - - - - - - - - 31% - - - 33% 34% 31% 24% 34% 40% 35% 34% 31% 32%

R R R

Strongly support

- - - - - - - - - - 837 - - - 905 413 492 270 243 194 198 268 266 321- - - - - - - - - - 43% - - - 46% 44% 48% 47% 48% 42% 47% 45% 46% 48%

k

Somewhat support

- - - - - - - - - - 515 - - - 416 201 215 166 94 82 74 128 136 132- - - - - - - - - - 26% - - - 21% 22% 21% 29% 18% 18% 18% 21% 23% 20%

O STU


- - - - - - - - - - 348 - - - 305 139 166 128 68 56 53 96 100 93- - - - - - - - - - 18% - - - 16% 15% 16% 22% 13% 12% 13% 16% 17% 14%

STU

Somewhat oppose

- - - - - - - - - - 167 - - - 111 62 49 38 26 26 21 32 37 39- - - - - - - - - - 8% - - - 6% 7% 5% 7% 5% 6% 5% 5% 6% 6%

O

Strongly oppose

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 84BHV15 Since the coronavirus outbreak are you consuming more or less of the following?

Summary Of More

Base: All Respondents (Variable Bases)




- - - - - 1365 1331 1360 1360 - - - - 1180 1128 533 595 296 315 291 226 336 325 406- - - - - 68% 66% 66% 67% - - - - 60% 57% 57% 58% 51% 62% 63% 54% 56% 56% 61%

NO NO NO NO Ru RU

Home cooked meals

- - - - - 849 777 853 843 - - - - 824 786 389 397 242 225 172 147 208 226 308- - - - - 42% 38% 42% 41% - - - - 42% 40% 42% 39% 42% 44% 37% 35% 35% 39% 46%

G g g u tU Vw

Fresh food (vegetables,fruit)

- - - - - 807 800 862 854 - - - - 719 652 319 333 230 210 113 99 188 164 264- - - - - 40% 39% 42% 42% - - - - 37% 33% 34% 32% 40% 41% 24% 24% 31% 28% 40%

nO O NO NO o TU TU VW

Snack foods (chips, nuts,granola bars)

- - - - - 702 628 716 694 - - - - 627 567 299 268 198 204 92 72 140 152 259- - - - - 35% 31% 35% 34% - - - - 32% 29% 32% 26% 35% 40% 20% 17% 23% 26% 39%

GO GnO gO Q TU TU VW

Coffee and tea

- - - - - 703 633 641 615 - - - - 531 508 273 235 197 157 82 72 138 129 209- - - - - 35% 31% 31% 30% - - - - 27% 26% 29% 23% 34% 31% 18% 17% 23% 22% 31%

GHINO NO NO nO Q TU TU VW

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

- - - - - - - - 235 - - - - 460 487 284 203 203 147 80 58 125 132 210- - - - - - - - 12% - - - - 23% 25% 31% 20% 35% 29% 17% 14% 21% 23% 31%

I I Q sTU TU VW

Orange juice

- - - - - - - 499 556 - - - - 468 461 241 220 162 161 81 58 138 123 170- - - - - - - 24% 27% - - - - 24% 23% 26% 21% 28% 32% 18% 14% 23% 21% 25%

hNO q TU TU

Chocolate

- - - - - 490 485 517 494 - - - - 452 448 246 202 185 150 71 42 120 117 192- - - - - 24% 24% 25% 24% - - - - 23% 23% 26% 20% 32% 29% 15% 10% 20% 20% 29%

Q TU TU u VW

Soft drinks

- - - - - 527 577 593 598 - - - - 402 409 219 190 152 132 73 51 112 102 167- - - - - 26% 28% 29% 29% - - - - 20% 21% 23% 18% 26% 26% 16% 12% 19% 18% 25%

NO NO NO fNO Q TU TU VW

Candy

- - - - - 339 354 383 374 - - - - 375 374 206 169 161 112 56 45 105 93 157- - - - - 17% 17% 19% 18% - - - - 19% 19% 22% 16% 28% 22% 12% 11% 18% 16% 23%

Q sTU TU VW

Fast food

- - - - - 374 362 430 473 - - - - 338 339 191 148 105 134 76 25 77 85 164- - - - - 20% 19% 23% 25% - - - - 18% 18% 22% 15% 23% 26% 16% 6% 14% 15% 26%

GNO FGNO Q TU TU U VW

Alcohol (beer, wine,spirits)

- - - - - - - - - - - - - 255 246 163 83 121 91 28 6 53 51 129- - - - - - - - - - - - - 13% 13% 17% 8% 21% 18% 6% 1% 9% 9% 19%

Q TU TU U VW

Meat alternatives (e.g.,tofu, seitan, tempeh)




Summary Of Less





- - - - - 1005 942 1004 968 - - - - 822 793 377 417 209 213 197 174 250 242 263- - - - - 50% 46% 49% 47% - - - - 42% 40% 40% 40% 36% 42% 43% 42% 42% 42% 39%

gNO NO NO NO

Fast food

- - - - - 456 364 411 326 - - - - 451 456 227 229 168 131 96 62 139 113 181- - - - - 23% 18% 20% 16% - - - - 23% 23% 24% 22% 29% 26% 21% 15% 23% 20% 27%

GI I GhI GHI TU U u W

Candy

- - - - - 389 365 377 356 - - - - 404 384 206 178 147 119 68 50 118 104 147- - - - - 19% 18% 18% 17% - - - - 21% 20% 22% 17% 26% 23% 15% 12% 20% 18% 22%

I Q TU TU

Soft drinks

- - - - - - - 281 216 - - - - 349 383 209 174 151 113 81 39 105 102 162- - - - - - - 14% 11% - - - - 18% 20% 22% 17% 26% 22% 17% 9% 18% 18% 24%

I HI HI Q TU U U VW

Chocolate

- - - - - 343 323 358 373 - - - - 344 333 167 166 141 98 60 34 104 86 134- - - - - 17% 16% 17% 18% - - - - 17% 17% 18% 16% 25% 19% 13% 8% 17% 15% 20%

sTU TU u w


- - - - - 309 294 272 241 - - - - 289 306 177 129 107 99 55 45 89 90 120- - - - - 16% 16% 14% 13% - - - - 16% 17% 20% 13% 24% 20% 12% 11% 16% 16% 19%

I I I I Q TU TU


- - - - - 300 274 300 240 - - - - 286 312 160 152 129 84 53 46 93 95 113- - - - - 15% 14% 15% 12% - - - - 15% 16% 17% 15% 22% 17% 12% 11% 15% 16% 17%

I I I gI STU tu


- - - - - - - - 235 - - - - 217 262 147 116 108 77 51 25 74 67 113- - - - - - - - 12% - - - - 11% 13% 16% 11% 19% 15% 11% 6% 12% 12% 17%

n Q TU U U vW

Orange juice

- - - - - - - - - - - - - 254 254 148 106 113 83 28 29 70 75 101- - - - - - - - - - - - - 13% 13% 16% 10% 20% 16% 6% 7% 12% 13% 15%

Q TU TU


- - - - - 342 303 309 290 - - - - 239 244 134 110 123 61 42 18 71 65 100- - - - - 17% 15% 15% 14% - - - - 12% 12% 14% 11% 21% 12% 9% 4% 12% 11% 15%

iNO No NO Q STU U U


- - - - - 215 221 180 184 - - - - 207 216 112 104 102 61 33 19 61 57 86- - - - - 11% 11% 9% 9% - - - - 11% 11% 12% 10% 18% 12% 7% 5% 10% 10% 13%

h hi STU TU

Coffee and tea

- - - - - 134 133 143 142 - - - - 162 177 107 70 98 55 14 10 39 51 81- - - - - 7% 7% 7% 7% - - - - 8% 9% 11% 7% 17% 11% 3% 2% 7% 9% 12%

FGhi Q STU TU V

Home cooked meals




Summary Of No Change





- - - - - 957 998 999 991 - - - - 975 995 448 547 216 205 287 288 323 333 276- - - - - 48% 49% 49% 49% - - - - 50% 51% 48% 53% 38% 40% 62% 69% 54% 57% 41%

p RS RSt X X

Coffee and tea

- - - - - - - 946 950 - - - - 1039 982 430 552 223 217 265 277 309 316 297- - - - - - - 46% 47% - - - - 53% 50% 46% 54% 39% 43% 57% 66% 52% 54% 44%

HI Hi P RS RST x X

Chocolate

- - - - - - - - 654 - - - - 957 926 420 506 206 228 243 250 319 303 238- - - - - - - - 32% - - - - 49% 47% 45% 49% 36% 45% 52% 60% 53% 52% 36%

I I R Rs RSt X X

Orange juice

- - - - - 843 898 848 898 - - - - 902 925 417 508 185 199 288 253 294 299 272- - - - - 42% 44% 41% 44% - - - - 46% 47% 45% 49% 32% 39% 62% 61% 49% 52% 41%

FH FH r RS RS X X


- - - - - 911 964 944 1000 - - - - 938 896 403 493 203 206 243 243 282 305 257- - - - - 45% 48% 46% 49% - - - - 48% 46% 43% 48% 35% 41% 53% 58% 47% 52% 38%

fo RS RS X vX

Candy

- - - - - 800 913 863 889 - - - - 865 886 388 498 185 207 248 245 303 277 247- - - - - 40% 45% 42% 44% - - - - 44% 45% 42% 48% 32% 41% 54% 59% 50% 48% 37%

F F F F P R RS RS X X


- - - - - 802 887 832 848 - - - - 880 884 398 486 193 200 254 236 289 291 249- - - - - 40% 44% 41% 42% - - - - 45% 45% 43% 47% 34% 39% 55% 57% 48% 50% 37%

F FH FHi RS RS X X


- - - - - 840 901 875 881 - - - - 818 829 374 455 187 189 236 216 267 277 230- - - - - 42% 44% 43% 43% - - - - 42% 42% 40% 44% 33% 37% 51% 52% 45% 48% 34%

RS RS X X

Soft drinks

- - - - - 634 642 671 656 - - - - 626 668 314 354 148 170 181 169 187 228 214- - - - - 34% 34% 35% 34% - - - - 34% 36% 36% 37% 33% 33% 39% 41% 33% 41% 35%

rs Vx


- - - - - 494 542 528 518 - - - - 592 612 270 342 155 129 156 173 207 194 170- - - - - 25% 27% 26% 25% - - - - 30% 31% 29% 33% 27% 25% 34% 41% 35% 33% 25%

FgHI FGHI rS RSt X X

Home cooked meals

- - - - - - - - - - - - - 633 599 290 309 200 155 146 98 161 187 213- - - - - - - - - - - - - 32% 31% 31% 30% 35% 30% 32% 24% 27% 32% 32%

U u U v


- - - - - 467 545 492 541 - - - - 606 585 265 320 162 133 160 130 178 205 159- - - - - 23% 27% 24% 27% - - - - 31% 30% 28% 31% 28% 26% 35% 31% 30% 35% 24%

Fh f FGHI FHi rS x vX

Fast food



19 Jun 2020Table 87BHV15_1 Since the coronavirus outbreak are you consuming more or less of the following?

Fresh food (vegetables, fruit)





- - - - - 2013 2029 2050 2039 - - - - 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** 2013 2029 2050 2039 -** -** -** -** 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - 849 777 853 843 - - - - 824 786 389 397 242 225 172 147 208 226 308- - - - - 42% 38% 42% 41% - - - - 42% 40% 42% 39% 42% 44% 37% 35% 35% 39% 46%

G g g u tU Vw

More

- - - - - 342 303 309 290 - - - - 239 244 134 110 123 61 42 18 71 65 100- - - - - 17% 15% 15% 14% - - - - 12% 12% 14% 11% 21% 12% 9% 4% 12% 11% 15%

iNO No NO Q STU U U

Less

- - - - - 800 913 863 889 - - - - 865 886 388 498 185 207 248 245 303 277 247- - - - - 40% 45% 42% 44% - - - - 44% 45% 42% 48% 32% 41% 54% 59% 50% 48% 37%

F F F F P R RS RS X X

No change

- - - - - 22 36 25 17 - - - - 41 47 21 26 24 15 * 8 18 12 13- - - - - 1% 2% 1% 1% - - - - 2% 2% 2% 3% 4% 3% * 2% 3% 2% 2%

I FhI FHI Tu T T

I do not consume thisproduct

- - - - - 2013 2029 2050 2039 - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Fast food






- - - - - 339 354 383 374 - - - - 375 374 206 169 161 112 56 45 105 93 157- - - - - 17% 17% 19% 18% - - - - 19% 19% 22% 16% 28% 22% 12% 11% 18% 16% 23%

Q sTU TU VW

More

- - - - - 1005 942 1004 968 - - - - 822 793 377 417 209 213 197 174 250 242 263- - - - - 50% 46% 49% 47% - - - - 42% 40% 40% 40% 36% 42% 43% 42% 42% 42% 39%

gNO NO NO NO

Less

- - - - - 467 545 492 541 - - - - 606 585 265 320 162 133 160 130 178 205 159- - - - - 23% 27% 24% 27% - - - - 31% 30% 28% 31% 28% 26% 35% 31% 30% 35% 24%

Fh f FGHI FHi rS x vX

No change

- - - - - 203 187 171 157 - - - - 166 211 85 126 42 50 49 69 67 40 90- - - - - 10% 9% 8% 8% - - - - 8% 11% 9% 12% 7% 10% 11% 17% 11% 7% 13%

I HIn p RST W W


- - - - - 2013 2029 2050 2039 - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Alcohol (beer, wine, spirits)

Base: All 21+ Respondents





- - - - - 374 362 430 473 - - - - 338 339 191 148 105 134 76 25 77 85 164- - - - - 20% 19% 23% 25% - - - - 18% 18% 22% 15% 23% 26% 16% 6% 14% 15% 26%

GNO FGNO Q TU TU U VW

More

- - - - - 309 294 272 241 - - - - 289 306 177 129 107 99 55 45 89 90 120- - - - - 16% 16% 14% 13% - - - - 16% 17% 20% 13% 24% 20% 12% 11% 16% 16% 19%

I I I I Q TU TU

Less

- - - - - 634 642 671 656 - - - - 626 668 314 354 148 170 181 169 187 228 214- - - - - 34% 34% 35% 34% - - - - 34% 36% 36% 37% 33% 33% 39% 41% 33% 41% 35%

rs Vx

No change

- - - - - 563 594 534 536 - - - - 576 525 193 332 90 105 151 179 212 150 121- - - - - 30% 31% 28% 28% - - - - 31% 29% 22% 34% 20% 21% 33% 43% 37% 27% 20%

hi hi P RS RST WX X


- - - - - 1880 1892 1908 1906 - - - - 1829 1838 875 964 450 508 462 418 566 552 618- - - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Snack foods (chips, nuts, granola bars)






- - - - - 807 800 862 854 - - - - 719 652 319 333 230 210 113 99 188 164 264- - - - - 40% 39% 42% 42% - - - - 37% 33% 34% 32% 40% 41% 24% 24% 31% 28% 40%

nO O NO NO o TU TU VW

More

- - - - - 300 274 300 240 - - - - 286 312 160 152 129 84 53 46 93 95 113- - - - - 15% 14% 15% 12% - - - - 15% 16% 17% 15% 22% 17% 12% 11% 15% 16% 17%

I I I gI STU tu

Less

- - - - - 843 898 848 898 - - - - 902 925 417 508 185 199 288 253 294 299 272- - - - - 42% 44% 41% 44% - - - - 46% 47% 45% 49% 32% 39% 62% 61% 49% 52% 41%

FH FH r RS RS X X

No change

- - - - - 63 57 40 47 - - - - 62 73 36 37 31 15 8 19 25 22 19- - - - - 3% 3% 2% 2% - - - - 3% 4% 4% 4% 5% 3% 2% 5% 4% 4% 3%

h H HI T t


- - - - - 2013 2029 2050 2039 - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - - - 703 633 641 615 - - - - 531 508 273 235 197 157 82 72 138 129 209- - - - - 35% 31% 31% 30% - - - - 27% 26% 29% 23% 34% 31% 18% 17% 23% 22% 31%

GHINO NO NO nO Q TU TU VW

More

- - - - - 343 323 358 373 - - - - 344 333 167 166 141 98 60 34 104 86 134- - - - - 17% 16% 17% 18% - - - - 17% 17% 18% 16% 25% 19% 13% 8% 17% 15% 20%

sTU TU u w

Less

- - - - - 802 887 832 848 - - - - 880 884 398 486 193 200 254 236 289 291 249- - - - - 40% 44% 41% 42% - - - - 45% 45% 43% 47% 34% 39% 55% 57% 48% 50% 37%

F FH FHi RS RS X X

No change

- - - - - 165 187 220 203 - - - - 214 237 94 143 43 52 67 75 70 75 77- - - - - 8% 9% 11% 10% - - - - 11% 12% 10% 14% 8% 10% 14% 18% 12% 13% 11%

F F FGi P R RS


- - - - - 2013 2029 2050 2039 - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Home cooked meals






- - - - - 1365 1331 1360 1360 - - - - 1180 1128 533 595 296 315 291 226 336 325 406- - - - - 68% 66% 66% 67% - - - - 60% 57% 57% 58% 51% 62% 63% 54% 56% 56% 61%

NO NO NO NO Ru RU

More

- - - - - 134 133 143 142 - - - - 162 177 107 70 98 55 14 10 39 51 81- - - - - 7% 7% 7% 7% - - - - 8% 9% 11% 7% 17% 11% 3% 2% 7% 9% 12%

FGhi Q STU TU V

Less

- - - - - 494 542 528 518 - - - - 592 612 270 342 155 129 156 173 207 194 170- - - - - 25% 27% 26% 25% - - - - 30% 31% 29% 33% 27% 25% 34% 41% 35% 33% 25%

FgHI FGHI rS RSt X X

No change

- - - - - 20 23 19 18 - - - - 35 45 22 23 25 9 2 9 18 12 12- - - - - 1% 1% 1% 1% - - - - 2% 2% 2% 2% 4% 2% * 2% 3% 2% 2%

fhi FGHI ST t


- - - - - 2013 2029 2050 2039 - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Coffee and tea






- - - - - 702 628 716 694 - - - - 627 567 299 268 198 204 92 72 140 152 259- - - - - 35% 31% 35% 34% - - - - 32% 29% 32% 26% 35% 40% 20% 17% 23% 26% 39%

GO GnO gO Q TU TU VW

More

- - - - - 215 221 180 184 - - - - 207 216 112 104 102 61 33 19 61 57 86- - - - - 11% 11% 9% 9% - - - - 11% 11% 12% 10% 18% 12% 7% 5% 10% 10% 13%

h hi STU TU

Less

- - - - - 957 998 999 991 - - - - 975 995 448 547 216 205 287 288 323 333 276- - - - - 48% 49% 49% 49% - - - - 50% 51% 48% 53% 38% 40% 62% 69% 54% 57% 41%

p RS RSt X X

No change

- - - - - 139 182 156 169 - - - - 160 185 74 111 59 38 50 39 75 39 48- - - - - 7% 9% 8% 8% - - - - 8% 9% 8% 11% 10% 7% 11% 9% 13% 7% 7%

F Fh p WX


- - - - - 2013 2029 2050 2039 - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Soft drinks






- - - - - 490 485 517 494 - - - - 452 448 246 202 185 150 71 42 120 117 192- - - - - 24% 24% 25% 24% - - - - 23% 23% 26% 20% 32% 29% 15% 10% 20% 20% 29%

Q TU TU u VW

More

- - - - - 389 365 377 356 - - - - 404 384 206 178 147 119 68 50 118 104 147- - - - - 19% 18% 18% 17% - - - - 21% 20% 22% 17% 26% 23% 15% 12% 20% 18% 22%

I Q TU TU

Less

- - - - - 840 901 875 881 - - - - 818 829 374 455 187 189 236 216 267 277 230- - - - - 42% 44% 43% 43% - - - - 42% 42% 40% 44% 33% 37% 51% 52% 45% 48% 34%

RS RS X X

No change

- - - - - 294 278 281 309 - - - - 295 302 106 196 54 51 87 110 94 83 100- - - - - 15% 14% 14% 15% - - - - 15% 15% 11% 19% 9% 10% 19% 26% 16% 14% 15%

P RS RST


- - - - - 2013 2029 2050 2039 - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Candy






- - - - - 527 577 593 598 - - - - 402 409 219 190 152 132 73 51 112 102 167- - - - - 26% 28% 29% 29% - - - - 20% 21% 23% 18% 26% 26% 16% 12% 19% 18% 25%

NO NO NO fNO Q TU TU VW

More

- - - - - 456 364 411 326 - - - - 451 456 227 229 168 131 96 62 139 113 181- - - - - 23% 18% 20% 16% - - - - 23% 23% 24% 22% 29% 26% 21% 15% 23% 20% 27%

GI I GhI GHI TU U u W

Less

- - - - - 911 964 944 1000 - - - - 938 896 403 493 203 206 243 243 282 305 257- - - - - 45% 48% 46% 49% - - - - 48% 46% 43% 48% 35% 41% 53% 58% 47% 52% 38%

fo RS RS X vX

No change

- - - - - 119 124 103 115 - - - - 178 202 84 119 52 39 50 62 68 60 64- - - - - 6% 6% 5% 6% - - - - 9% 10% 9% 12% 9% 8% 11% 15% 11% 10% 10%

FGHI FGHI RS


- - - - - 2013 2029 2050 2039 - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Chocolate





- - - - - - - 2050 2039 - - - - 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** -** -** 2050 2039 -** -** -** -** 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - - - 499 556 - - - - 468 461 241 220 162 161 81 58 138 123 170- - - - - - - 24% 27% - - - - 24% 23% 26% 21% 28% 32% 18% 14% 23% 21% 25%

hNO q TU TU

More

- - - - - - - 281 216 - - - - 349 383 209 174 151 113 81 39 105 102 162- - - - - - - 14% 11% - - - - 18% 20% 22% 17% 26% 22% 17% 9% 18% 18% 24%

I HI HI Q TU U U VW

Less

- - - - - - - 946 950 - - - - 1039 982 430 552 223 217 265 277 309 316 297- - - - - - - 46% 47% - - - - 53% 50% 46% 54% 39% 43% 57% 66% 52% 54% 44%

HI Hi P RS RST x X

No change

- - - - - - - 324 317 - - - - 114 136 53 84 39 18 36 44 47 39 40- - - - - - - 16% 16% - - - - 6% 7% 6% 8% 7% 3% 8% 10% 8% 7% 6%

NO NO p S S S


- - - - - - - 2050 2039 - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Orange juice





- - - - - - - - 2039 - - - - 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** -** -** -** 2039 -** -** -** -** 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - - - - 235 - - - - 460 487 284 203 203 147 80 58 125 132 210- - - - - - - - 12% - - - - 23% 25% 31% 20% 35% 29% 17% 14% 21% 23% 31%

I I Q sTU TU VW

More

- - - - - - - - 235 - - - - 217 262 147 116 108 77 51 25 74 67 113- - - - - - - - 12% - - - - 11% 13% 16% 11% 19% 15% 11% 6% 12% 12% 17%

n Q TU U U vW

Less

- - - - - - - - 654 - - - - 957 926 420 506 206 228 243 250 319 303 238- - - - - - - - 32% - - - - 49% 47% 45% 49% 36% 45% 52% 60% 53% 52% 36%

I I R Rs RSt X X

No change

- - - - - - - - 915 - - - - 335 288 81 207 58 56 89 85 82 79 107- - - - - - - - 45% - - - - 17% 15% 9% 20% 10% 11% 19% 20% 14% 14% 16%

NO P RS RS


- - - - - - - - 2039 - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Meat alternatives (e.g., tofu, seitan, tempeh)





- - - - - - - - - - - - - 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** -** -** -** -** -** -** -** -** 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - - - - - - - - - 255 246 163 83 121 91 28 6 53 51 129- - - - - - - - - - - - - 13% 13% 17% 8% 21% 18% 6% 1% 9% 9% 19%

Q TU TU U VW

More

- - - - - - - - - - - - - 254 254 148 106 113 83 28 29 70 75 101- - - - - - - - - - - - - 13% 13% 16% 10% 20% 16% 6% 7% 12% 13% 15%

Q TU TU

Less

- - - - - - - - - - - - - 633 599 290 309 200 155 146 98 161 187 213- - - - - - - - - - - - - 32% 31% 31% 30% 35% 30% 32% 24% 27% 32% 32%

U u U v

No change

- - - - - - - - - - - - - 827 865 332 533 140 180 260 285 316 268 225- - - - - - - - - - - - - 42% 44% 36% 52% 24% 35% 56% 68% 53% 46% 34%

P R RS RST WX X


- - - - - - - - - - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 99RC19 How much do you agree or disagree with each of the following statements?

Summary Of Strongly/Somewhat Agree






- - - - - - - - - - - - - - 1307 587 720 347 373 316 272 388 391 456- - - - - - - - - - - - - - 67% 63% 70% 60% 73% 68% 65% 65% 67% 68%

P RU R

Companies/brands shouldensure businesses/clientsthey do business withshare similar standardswhen it comes tocombating racialinequality.

- - - - - - - - - - - - - - 1244 588 656 393 345 267 240 368 367 430- - - - - - - - - - - - - - 63% 63% 64% 68% 68% 58% 57% 61% 63% 64%

TU TU

I am more likely to buyfrom companies/brandsthat contribute toorganizations/causes thatcombat racism.

- - - - - - - - - - - - - - 1131 565 566 329 323 264 215 339 324 416- - - - - - - - - - - - - - 58% 61% 55% 57% 63% 57% 51% 57% 56% 62%

Q rU w

Companies/brands havedone enough to increasediversity in theirleadership.

- - - - - - - - - - - - - - 1111 528 583 351 335 225 201 343 327 377- - - - - - - - - - - - - - 57% 57% 57% 61% 66% 49% 48% 57% 56% 56%

TU TU

Companies/brands shouldincorporate their viewsinto advertising.

- - - - - - - - - - - - - - 1110 540 570 361 320 228 201 317 333 394- - - - - - - - - - - - - - 57% 58% 55% 63% 63% 49% 48% 53% 57% 59%

TU TU v

Companies/brands shouldrespond publicly toprotests and rising racialtensions.

- - - - - - - - - - - - - - 1040 484 556 329 299 220 192 311 297 374- - - - - - - - - - - - - - 53% 52% 54% 57% 59% 48% 46% 52% 51% 56%

TU TU

I am more likely topurchase from acompany/brand thatresponds publicly toprotests and rising racialtensions.

- - - - - - - - - - - - - - 830 413 417 300 256 150 124 256 220 310- - - - - - - - - - - - - - 42% 44% 40% 52% 50% 33% 30% 43% 38% 46%

TU TU W

Companies/brands shouldpause their regularadvertising during protests.______________________________________________________________________________________________________________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


19 Jun 2020Table 100RC19 How much do you agree or disagree with each of the following statements?

Summary Of Strongly/Somewhat Disagree






- - - - - - - - - - - - - - 1133 520 614 275 253 312 294 344 361 359- - - - - - - - - - - - - - 58% 56% 60% 48% 50% 67% 70% 57% 62% 54%

RS RS X

Companies/brands shouldpause their regularadvertising duringprotests.

- - - - - - - - - - - - - - 923 448 474 245 210 242 225 289 284 295- - - - - - - - - - - - - - 47% 48% 46% 43% 41% 52% 54% 48% 49% 44%

RS RS

I am more likely topurchase from acompany/brand thatresponds publicly toprotests and rising racialtensions.

- - - - - - - - - - - - - - 853 392 461 214 188 234 217 283 248 275- - - - - - - - - - - - - - 43% 42% 45% 37% 37% 51% 52% 47% 43% 41%

RS RS x

Companies/brands shouldrespond publicly toprotests and rising racialtensions.

- - - - - - - - - - - - - - 852 404 447 224 173 238 217 257 254 292- - - - - - - - - - - - - - 43% 43% 43% 39% 34% 51% 52% 43% 44% 44%

RS RS

Companies/brands shouldincorporate their viewsinto advertising.

- - - - - - - - - - - - - - 832 367 464 245 186 198 203 260 256 253- - - - - - - - - - - - - - 42% 39% 45% 43% 37% 43% 49% 43% 44% 38%

P s S x

Companies/brands havedone enough to increasediversity in theirleadership.

- - - - - - - - - - - - - - 719 344 374 182 163 196 178 232 214 239- - - - - - - - - - - - - - 37% 37% 36% 32% 32% 42% 43% 39% 37% 36%

RS RS

I am more likely to buyfrom companies/brandsthat contribute toorganizations/causes thatcombat racism.

- - - - - - - - - - - - - - 656 345 311 228 135 147 146 212 190 212- - - - - - - - - - - - - - 33% 37% 30% 40% 27% 32% 35% 35% 33% 32%

Q ST S

Companies/brands shouldensure businesses/clientsthey do business with sharesimilar standards when itcomes to combating racialinequality.______________________________________________________________________________________________________________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


19 Jun 2020Table 101RC19_1 How much do you agree or disagree with each of the following statements?

Companies/brands should respond publicly to protests and rising racial tensions.






- - - - - - - - - - - - - - 1110 540 570 361 320 228 201 317 333 394- - - - - - - - - - - - - - 57% 58% 55% 63% 63% 49% 48% 53% 57% 59%

TU TU v

Strongly/Somewhat Agree(Net)

- - - - - - - - - - - - - - 369 198 172 126 114 73 56 103 103 141- - - - - - - - - - - - - - 19% 21% 17% 22% 22% 16% 14% 17% 18% 21%

Q tU TU

Strongly agree

- - - - - - - - - - - - - - 741 343 398 235 206 155 145 214 230 253- - - - - - - - - - - - - - 38% 37% 39% 41% 40% 34% 35% 36% 40% 38%

t t

Somewhat agree

- - - - - - - - - - - - - - 853 392 461 214 188 234 217 283 248 275- - - - - - - - - - - - - - 43% 42% 45% 37% 37% 51% 52% 47% 43% 41%

RS RS x

Strongly/SomewhatDisagree (Net)

- - - - - - - - - - - - - - 504 226 278 137 111 129 128 168 146 162- - - - - - - - - - - - - - 26% 24% 27% 24% 22% 28% 31% 28% 25% 24%

s rS

Somewhat disagree

- - - - - - - - - - - - - - 349 166 183 77 78 106 89 114 102 112- - - - - - - - - - - - - - 18% 18% 18% 13% 15% 23% 21% 19% 18% 17%

RS Rs

Strongly disagree

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Companies/brands should incorporate their views into advertising.






- - - - - - - - - - - - - - 1111 528 583 351 335 225 201 343 327 377- - - - - - - - - - - - - - 57% 57% 57% 61% 66% 49% 48% 57% 56% 56%

TU TU


- - - - - - - - - - - - - - 321 171 149 116 114 59 31 96 74 139- - - - - - - - - - - - - - 16% 18% 14% 20% 23% 13% 7% 16% 13% 21%

q TU TU U vW

Strongly agree

- - - - - - - - - - - - - - 790 357 434 235 221 165 169 247 253 238- - - - - - - - - - - - - - 40% 38% 42% 41% 43% 36% 41% 41% 44% 36%

t X

Somewhat agree

- - - - - - - - - - - - - - 852 404 447 224 173 238 217 257 254 292- - - - - - - - - - - - - - 43% 43% 43% 39% 34% 51% 52% 43% 44% 44%

RS RS


- - - - - - - - - - - - - - 506 229 277 143 99 135 129 138 165 171- - - - - - - - - - - - - - 26% 25% 27% 25% 19% 29% 31% 23% 28% 26%

s S rS v

Somewhat disagree

- - - - - - - - - - - - - - 346 176 170 81 75 102 88 119 89 120- - - - - - - - - - - - - - 18% 19% 17% 14% 15% 22% 21% 20% 15% 18%

RS RS w

Strongly disagree

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Companies/brands should pause their regular advertising during protests.






- - - - - - - - - - - - - - 830 413 417 300 256 150 124 256 220 310- - - - - - - - - - - - - - 42% 44% 40% 52% 50% 33% 30% 43% 38% 46%

TU TU W


- - - - - - - - - - - - - - 268 153 115 107 90 42 28 82 56 118- - - - - - - - - - - - - - 14% 16% 11% 19% 18% 9% 7% 14% 10% 18%

Q TU TU w W

Strongly agree

- - - - - - - - - - - - - - 562 260 302 193 165 108 95 174 164 191- - - - - - - - - - - - - - 29% 28% 29% 34% 33% 23% 23% 29% 28% 29%

TU TU

Somewhat agree

- - - - - - - - - - - - - - 1133 520 614 275 253 312 294 344 361 359- - - - - - - - - - - - - - 58% 56% 60% 48% 50% 67% 70% 57% 62% 54%

RS RS X


- - - - - - - - - - - - - - 702 331 371 186 144 180 191 216 230 218- - - - - - - - - - - - - - 36% 36% 36% 32% 28% 39% 46% 36% 40% 33%

rS RS x

Somewhat disagree

- - - - - - - - - - - - - - 431 189 242 89 108 131 103 128 131 141- - - - - - - - - - - - - - 22% 20% 24% 15% 21% 28% 25% 21% 23% 21%

R RS R

Strongly disagree

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Companies/brands have done enough to increase diversity in their leadership.






- - - - - - - - - - - - - - 1131 565 566 329 323 264 215 339 324 416- - - - - - - - - - - - - - 58% 61% 55% 57% 63% 57% 51% 57% 56% 62%

Q rU w


- - - - - - - - - - - - - - 344 192 152 108 119 74 44 94 90 142- - - - - - - - - - - - - - 18% 21% 15% 19% 23% 16% 11% 16% 16% 21%

Q U TU u VW

Strongly agree

- - - - - - - - - - - - - - 787 373 414 221 204 191 171 246 234 273- - - - - - - - - - - - - - 40% 40% 40% 39% 40% 41% 41% 41% 40% 41%

Somewhat agree

- - - - - - - - - - - - - - 832 367 464 245 186 198 203 260 256 253- - - - - - - - - - - - - - 42% 39% 45% 43% 37% 43% 49% 43% 44% 38%

P s S x


- - - - - - - - - - - - - - 568 253 316 170 116 127 155 184 188 160- - - - - - - - - - - - - - 29% 27% 31% 30% 23% 28% 37% 31% 32% 24%

S RST X X

Somewhat disagree

- - - - - - - - - - - - - - 263 115 148 75 70 70 48 76 68 92- - - - - - - - - - - - - - 13% 12% 14% 13% 14% 15% 11% 13% 12% 14%

Strongly disagree

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I am more likely to purchase from a company/brand that responds publicly to protests and rising racial tensions.






- - - - - - - - - - - - - - 1040 484 556 329 299 220 192 311 297 374- - - - - - - - - - - - - - 53% 52% 54% 57% 59% 48% 46% 52% 51% 56%

TU TU


- - - - - - - - - - - - - - 349 184 165 137 117 57 38 91 102 140- - - - - - - - - - - - - - 18% 20% 16% 24% 23% 12% 9% 15% 18% 21%

q TU TU V

Strongly agree

- - - - - - - - - - - - - - 691 300 391 192 181 163 155 220 194 234- - - - - - - - - - - - - - 35% 32% 38% 33% 36% 35% 37% 37% 33% 35%

P

Somewhat agree

- - - - - - - - - - - - - - 923 448 474 245 210 242 225 289 284 295- - - - - - - - - - - - - - 47% 48% 46% 43% 41% 52% 54% 48% 49% 44%

RS RS


- - - - - - - - - - - - - - 513 246 268 150 105 127 131 145 163 177- - - - - - - - - - - - - - 26% 26% 26% 26% 21% 27% 31% 24% 28% 26%

s s S

Somewhat disagree

- - - - - - - - - - - - - - 409 203 207 95 105 115 94 144 120 118- - - - - - - - - - - - - - 21% 22% 20% 17% 21% 25% 23% 24% 21% 18%

R r X

Strongly disagree

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I am more likely to buy from companies/brands that contribute to organizations/causes that combat racism.






- - - - - - - - - - - - - - 1244 588 656 393 345 267 240 368 367 430- - - - - - - - - - - - - - 63% 63% 64% 68% 68% 58% 57% 61% 63% 64%

TU TU


- - - - - - - - - - - - - - 459 230 229 161 143 93 62 129 139 166- - - - - - - - - - - - - - 23% 25% 22% 28% 28% 20% 15% 22% 24% 25%

TU TU

Strongly agree

- - - - - - - - - - - - - - 786 358 428 232 202 174 178 239 228 264- - - - - - - - - - - - - - 40% 38% 41% 40% 40% 38% 43% 40% 39% 39%

Somewhat agree

- - - - - - - - - - - - - - 719 344 374 182 163 196 178 232 214 239- - - - - - - - - - - - - - 37% 37% 36% 32% 32% 42% 43% 39% 37% 36%

RS RS


- - - - - - - - - - - - - - 435 206 230 110 99 118 109 131 135 150- - - - - - - - - - - - - - 22% 22% 22% 19% 19% 25% 26% 22% 23% 22%

rs Rs

Somewhat disagree

- - - - - - - - - - - - - - 283 139 145 72 64 78 69 101 79 88- - - - - - - - - - - - - - 14% 15% 14% 13% 13% 17% 17% 17% 14% 13%

Strongly disagree

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Companies/brands should ensure businesses/clients they do business with share similar standards when it comes to combating racial inequality.






- - - - - - - - - - - - - - 1307 587 720 347 373 316 272 388 391 456- - - - - - - - - - - - - - 67% 63% 70% 60% 73% 68% 65% 65% 67% 68%

P RU R


- - - - - - - - - - - - - - 464 230 234 139 154 97 74 126 140 175- - - - - - - - - - - - - - 24% 25% 23% 24% 30% 21% 18% 21% 24% 26%

U rTU v

Strongly agree

- - - - - - - - - - - - - - 843 357 486 207 220 219 197 262 251 281- - - - - - - - - - - - - - 43% 38% 47% 36% 43% 47% 47% 44% 43% 42%

P r R R

Somewhat agree

- - - - - - - - - - - - - - 656 345 311 228 135 147 146 212 190 212- - - - - - - - - - - - - - 33% 37% 30% 40% 27% 32% 35% 35% 33% 32%

Q ST S


- - - - - - - - - - - - - - 401 210 191 141 86 85 89 129 129 116- - - - - - - - - - - - - - 20% 23% 19% 25% 17% 18% 21% 22% 22% 17%

q St

Somewhat disagree

- - - - - - - - - - - - - - 255 135 119 87 49 61 58 83 61 96- - - - - - - - - - - - - - 13% 14% 12% 15% 10% 13% 14% 14% 10% 14%

S

Strongly disagree

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 108RC21 How aware are you of Juneteenth?






- - - - - - - - - - - - - - 1026 525 501 312 274 229 212 289 305 387- - - - - - - - - - - - - - 52% 56% 49% 54% 54% 49% 51% 48% 53% 58%

Q V

Very/Somewhat Aware(Net)

- - - - - - - - - - - - - - 439 224 216 123 133 104 78 106 131 181- - - - - - - - - - - - - - 22% 24% 21% 21% 26% 23% 19% 18% 22% 27%

U v V

Very aware

- - - - - - - - - - - - - - 587 301 286 189 141 124 133 183 175 206- - - - - - - - - - - - - - 30% 32% 28% 33% 28% 27% 32% 31% 30% 31%

q

Somewhat aware

- - - - - - - - - - - - - - 937 407 529 262 235 234 206 311 275 281- - - - - - - - - - - - - - 48% 44% 51% 46% 46% 51% 49% 52% 47% 42%

P X

Not At All/Not VeryAware (Net)

- - - - - - - - - - - - - - 285 136 149 96 76 60 53 92 81 92- - - - - - - - - - - - - - 15% 15% 14% 17% 15% 13% 13% 15% 14% 14%

Not very aware

- - - - - - - - - - - - - - 652 272 380 166 159 174 153 219 194 189- - - - - - - - - - - - - - 33% 29% 37% 29% 31% 38% 37% 36% 33% 28%

P R R X

Not at all aware

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 109RC22 How much do you support or oppose companies making Juneteenth a work holiday?

Base: Aware Of Juneteenth





- - - - - - - - - - - - - - 681 338 343 228 223 133 96 192 188 272- - - - - - - - - - - - - - 66% 64% 68% 73% 81% 58% 45% 66% 62% 70%

TU RTU U w


- - - - - - - - - - - - - - 319 152 167 118 108 64 29 86 96 127- - - - - - - - - - - - - - 31% 29% 33% 38% 39% 28% 14% 30% 32% 33%

tU TU U

Strongly support

- - - - - - - - - - - - - - 362 186 176 110 115 70 67 105 92 146- - - - - - - - - - - - - - 35% 35% 35% 35% 42% 30% 32% 36% 30% 38%

Tu

Somewhat support

- - - - - - - - - - - - - - 345 187 158 84 51 95 115 97 117 115- - - - - - - - - - - - - - 34% 36% 32% 27% 19% 42% 55% 34% 38% 30%

S RS RST x


- - - - - - - - - - - - - - 206 113 94 67 27 51 61 60 67 71- - - - - - - - - - - - - - 20% 21% 19% 22% 10% 22% 29% 21% 22% 18%

S S S

Somewhat oppose

- - - - - - - - - - - - - - 139 74 65 17 24 44 55 38 50 43- - - - - - - - - - - - - - 14% 14% 13% 5% 9% 19% 26% 13% 16% 11%

RS RS

Strongly oppose

- - - - - - - - - - - - - - 1026 525 501 312 274 229 212 289 305 387- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 110RC23 How much do you support or oppose the push to rename each of the following currently named after Confederate leaders?

Summary Of Strongly/Somewhat Support






- - - - - - - - - - - - - - 930 464 466 313 276 192 149 268 271 341- - - - - - - - - - - - - - 47% 50% 45% 55% 54% 41% 36% 45% 47% 51%

TU TU v

Schools

- - - - - - - - - - - - - - 911 460 451 321 282 182 126 261 255 349- - - - - - - - - - - - - - 46% 49% 44% 56% 55% 39% 30% 44% 44% 52%

q TU TU U VW

Streets

- - - - - - - - - - - - - - 900 470 430 286 281 180 153 253 264 338- - - - - - - - - - - - - - 46% 50% 42% 50% 55% 39% 37% 42% 45% 51%

Q TU TU V

Government buildings

- - - - - - - - - - - - - - 846 434 412 272 265 163 145 248 244 313- - - - - - - - - - - - - - 43% 47% 40% 47% 52% 35% 35% 41% 42% 47%

Q TU TU

Military installations



19 Jun 2020Table 111RC23 How much do you support or oppose the push to rename each of the following currently named after Confederate leaders?

Summary Of Strongly/Somewhat Oppose






- - - - - - - - - - - - - - 1117 498 619 302 243 300 272 351 337 356- - - - - - - - - - - - - - 57% 53% 60% 53% 48% 65% 65% 59% 58% 53%

P RS RS


- - - - - - - - - - - - - - 1063 463 600 288 227 283 265 346 317 330- - - - - - - - - - - - - - 54% 50% 58% 50% 45% 61% 63% 58% 55% 49%

P RS RS X


- - - - - - - - - - - - - - 1052 473 579 254 226 280 292 339 326 319- - - - - - - - - - - - - - 54% 51% 56% 44% 45% 61% 70% 56% 56% 48%

p RS RST X X

Streets

- - - - - - - - - - - - - - 1033 469 565 261 232 271 269 331 309 328- - - - - - - - - - - - - - 53% 50% 55% 45% 46% 59% 64% 55% 53% 49%

RS RS x

Schools



19 Jun 2020Table 112RC23_1 How much do you support or oppose the push to rename each of the following currently named after Confederate leaders?

Streets






- - - - - - - - - - - - - - 911 460 451 321 282 182 126 261 255 349- - - - - - - - - - - - - - 46% 49% 44% 56% 55% 39% 30% 44% 44% 52%

q TU TU U VW


- - - - - - - - - - - - - - 406 200 206 128 131 81 66 101 126 155- - - - - - - - - - - - - - 21% 21% 20% 22% 26% 17% 16% 17% 22% 23%

U TU v V

Strongly support

- - - - - - - - - - - - - - 505 260 246 193 151 102 60 160 129 194- - - - - - - - - - - - - - 26% 28% 24% 34% 30% 22% 14% 27% 22% 29%

TU TU U W

Somewhat support

- - - - - - - - - - - - - - 1052 473 579 254 226 280 292 339 326 319- - - - - - - - - - - - - - 54% 51% 56% 44% 45% 61% 70% 56% 56% 48%

p RS RST X X


- - - - - - - - - - - - - - 451 202 250 134 115 89 113 129 151 139- - - - - - - - - - - - - - 23% 22% 24% 23% 23% 19% 27% 21% 26% 21%

T vx

Somewhat oppose

- - - - - - - - - - - - - - 600 271 329 120 111 191 179 210 175 181- - - - - - - - - - - - - - 31% 29% 32% 21% 22% 41% 43% 35% 30% 27%

RS RS wX

Strongly oppose

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - - - - - 900 470 430 286 281 180 153 253 264 338- - - - - - - - - - - - - - 46% 50% 42% 50% 55% 39% 37% 42% 45% 51%

Q TU TU V


- - - - - - - - - - - - - - 419 206 213 126 126 88 79 99 125 167- - - - - - - - - - - - - - 21% 22% 21% 22% 25% 19% 19% 17% 22% 25%

tu V V

Strongly support

- - - - - - - - - - - - - - 481 264 217 160 155 91 74 154 138 171- - - - - - - - - - - - - - 24% 28% 21% 28% 31% 20% 18% 26% 24% 26%

Q TU TU

Somewhat support

- - - - - - - - - - - - - - 1063 463 600 288 227 283 265 346 317 330- - - - - - - - - - - - - - 54% 50% 58% 50% 45% 61% 63% 58% 55% 49%

P RS RS X


- - - - - - - - - - - - - - 431 179 252 144 112 85 90 126 134 137- - - - - - - - - - - - - - 22% 19% 24% 25% 22% 18% 22% 21% 23% 20%

P T

Somewhat oppose

- - - - - - - - - - - - - - 632 283 349 144 115 198 175 220 183 193- - - - - - - - - - - - - - 32% 30% 34% 25% 23% 43% 42% 37% 31% 29%

RS RS wX

Strongly oppose

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Schools






- - - - - - - - - - - - - - 930 464 466 313 276 192 149 268 271 341- - - - - - - - - - - - - - 47% 50% 45% 55% 54% 41% 36% 45% 47% 51%

TU TU v


- - - - - - - - - - - - - - 448 219 229 154 130 93 70 117 132 172- - - - - - - - - - - - - - 23% 23% 22% 27% 26% 20% 17% 19% 23% 26%

TU U V

Strongly support

- - - - - - - - - - - - - - 481 245 237 159 146 98 78 152 139 169- - - - - - - - - - - - - - 25% 26% 23% 28% 29% 21% 19% 25% 24% 25%

tU TU

Somewhat support

- - - - - - - - - - - - - - 1033 469 565 261 232 271 269 331 309 328- - - - - - - - - - - - - - 53% 50% 55% 45% 46% 59% 64% 55% 53% 49%

RS RS x


- - - - - - - - - - - - - - 413 184 229 127 113 79 94 110 132 138- - - - - - - - - - - - - - 21% 20% 22% 22% 22% 17% 22% 18% 23% 21%

v

Somewhat oppose

- - - - - - - - - - - - - - 620 285 336 134 119 192 176 221 177 190- - - - - - - - - - - - - - 32% 31% 33% 23% 23% 41% 42% 37% 31% 28%

RS RS WX

Strongly oppose

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - - - - - 846 434 412 272 265 163 145 248 244 313- - - - - - - - - - - - - - 43% 47% 40% 47% 52% 35% 35% 41% 42% 47%

Q TU TU


- - - - - - - - - - - - - - 410 199 211 118 117 90 85 99 122 163- - - - - - - - - - - - - - 21% 21% 20% 20% 23% 19% 20% 17% 21% 24%

v V

Strongly support

- - - - - - - - - - - - - - 436 235 201 155 148 73 60 149 122 150- - - - - - - - - - - - - - 22% 25% 19% 27% 29% 16% 14% 25% 21% 22%

Q TU TU

Somewhat support

- - - - - - - - - - - - - - 1117 498 619 302 243 300 272 351 337 356- - - - - - - - - - - - - - 57% 53% 60% 53% 48% 65% 65% 59% 58% 53%

P RS RS


- - - - - - - - - - - - - - 460 199 261 149 125 92 94 127 153 149- - - - - - - - - - - - - - 23% 21% 25% 26% 25% 20% 23% 21% 26% 22%

t v

Somewhat oppose

- - - - - - - - - - - - - - 657 299 358 153 118 207 178 224 184 207- - - - - - - - - - - - - - 33% 32% 35% 27% 23% 45% 43% 37% 32% 31%

RS RS wx

Strongly oppose

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 116CDC01 Have you traveled out of your region in the past 2 weeks using any of the following means of transportation?

Summary Of Domestically






- - - - - - - - - - - - - - 670 359 311 239 183 135 113 177 217 247- - - - - - - - - - - - - - 34% 39% 30% 42% 36% 29% 27% 30% 37% 37%

Q TU tU V V

Car travel

- - - - - - - - - - - - - - 257 172 85 123 105 25 4 69 59 127- - - - - - - - - - - - - - 13% 18% 8% 21% 21% 5% 1% 12% 10% 19%

Q TU TU U VW

Bus or train travel

- - - - - - - - - - - - - - 210 146 65 119 74 14 3 43 47 112- - - - - - - - - - - - - - 11% 16% 6% 21% 15% 3% 1% 7% 8% 17%

Q STU TU u VW

Air travel

- - - - - - - - - - - - - - 201 136 64 106 73 21 1 44 38 113- - - - - - - - - - - - - - 10% 15% 6% 18% 14% 5% * 7% 7% 17%

Q TU TU U VW

RV travel

- - - - - - - - - - - - - - 194 130 64 109 74 9 2 38 43 106- - - - - - - - - - - - - - 10% 14% 6% 19% 15% 2% 1% 6% 7% 16%

Q TU TU VW

Cruise travel



19 Jun 2020Table 117CDC01 Have you traveled out of your region in the past 2 weeks using any of the following means of transportation?

Summary Of Internationally






- - - - - - - - - - - - - - 219 143 76 135 58 26 1 58 45 108- - - - - - - - - - - - - - 11% 15% 7% 23% 11% 6% * 10% 8% 16%

Q STU TU U VW

Car travel

- - - - - - - - - - - - - - 198 140 58 104 75 18 1 44 43 108- - - - - - - - - - - - - - 10% 15% 6% 18% 15% 4% * 7% 7% 16%

Q TU TU U VW

Air travel

- - - - - - - - - - - - - - 185 130 55 106 58 20 1 45 35 102- - - - - - - - - - - - - - 9% 14% 5% 18% 12% 4% * 8% 6% 15%

Q STU TU U VW

Cruise travel

- - - - - - - - - - - - - - 177 110 67 91 54 26 6 41 39 89- - - - - - - - - - - - - - 9% 12% 7% 16% 11% 6% 1% 7% 7% 13%

Q STU TU U VW

RV travel

- - - - - - - - - - - - - - 162 111 51 95 49 14 4 48 29 76- - - - - - - - - - - - - - 8% 12% 5% 17% 10% 3% 1% 8% 5% 11%

Q STU TU u w W

Bus or train travel



19 Jun 2020Table 118CDC01_1 Have you traveled out of your region in the past 2 weeks using any of the following means of transportation?

Air travel






- - - - - - - - - - - - - - 210 146 65 119 74 14 3 43 47 112- - - - - - - - - - - - - - 11% 16% 6% 21% 15% 3% 1% 7% 8% 17%

Q STU TU u VW

Domestically

- - - - - - - - - - - - - - 198 140 58 104 75 18 1 44 43 108- - - - - - - - - - - - - - 10% 15% 6% 18% 15% 4% * 7% 7% 16%

Q TU TU U VW

Internationally

- - - - - - - - - - - - - - 1598 682 916 366 387 432 414 516 500 481- - - - - - - - - - - - - - 81% 73% 89% 64% 76% 93% 99% 86% 86% 72%

P R RS RST X X

Neither

- - - - - - - - - - - - - - 2007 968 1039 589 537 463 418 603 589 701- - - - - - - - - - - - - - 102% 104% 101% 103% 106% 100% 100% 101% 101% 105%

Sigma




Car travel






- - - - - - - - - - - - - - 670 359 311 239 183 135 113 177 217 247- - - - - - - - - - - - - - 34% 39% 30% 42% 36% 29% 27% 30% 37% 37%

Q TU tU V V

Domestically

- - - - - - - - - - - - - - 219 143 76 135 58 26 1 58 45 108- - - - - - - - - - - - - - 11% 15% 7% 23% 11% 6% * 10% 8% 16%

Q STU TU U VW

Internationally

- - - - - - - - - - - - - - 1106 451 655 220 277 305 304 370 328 330- - - - - - - - - - - - - - 56% 48% 64% 38% 55% 66% 73% 62% 56% 49%

P R RS RSt X x

Neither

- - - - - - - - - - - - - - 1996 953 1042 594 518 466 418 605 589 684- - - - - - - - - - - - - - 102% 102% 101% 103% 102% 101% 100% 101% 101% 102%

Sigma




Bus or train travel






- - - - - - - - - - - - - - 257 172 85 123 105 25 4 69 59 127- - - - - - - - - - - - - - 13% 18% 8% 21% 21% 5% 1% 12% 10% 19%

Q TU TU U VW

Domestically

- - - - - - - - - - - - - - 162 111 51 95 49 14 4 48 29 76- - - - - - - - - - - - - - 8% 12% 5% 17% 10% 3% 1% 8% 5% 11%

Q STU TU u w W

Internationally

- - - - - - - - - - - - - - 1563 663 900 364 364 425 410 484 497 479- - - - - - - - - - - - - - 80% 71% 87% 63% 72% 92% 98% 81% 86% 72%

P R RS RST X VX

Neither

- - - - - - - - - - - - - - 1982 947 1035 582 519 464 418 602 584 682- - - - - - - - - - - - - - 101% 102% 100% 101% 102% 100% 100% 100% 101% 102%

Sigma




RV travel






- - - - - - - - - - - - - - 201 136 64 106 73 21 1 44 38 113- - - - - - - - - - - - - - 10% 15% 6% 18% 14% 5% * 7% 7% 17%

Q TU TU U VW

Domestically

- - - - - - - - - - - - - - 177 110 67 91 54 26 6 41 39 89- - - - - - - - - - - - - - 9% 12% 7% 16% 11% 6% 1% 7% 7% 13%

Q STU TU U VW

Internationally

- - - - - - - - - - - - - - 1602 694 908 387 389 415 411 517 504 478- - - - - - - - - - - - - - 82% 74% 88% 67% 77% 90% 98% 86% 87% 72%

P R RS RST X X

Neither

- - - - - - - - - - - - - - 1980 940 1040 584 516 462 418 601 582 680- - - - - - - - - - - - - - 101% 101% 101% 102% 101% 100% 100% 100% 100% 102%

Sigma




Cruise travel






- - - - - - - - - - - - - - 194 130 64 109 74 9 2 38 43 106- - - - - - - - - - - - - - 10% 14% 6% 19% 15% 2% 1% 6% 7% 16%

Q TU TU VW

Domestically

- - - - - - - - - - - - - - 185 130 55 106 58 20 1 45 35 102- - - - - - - - - - - - - - 9% 14% 5% 18% 12% 4% * 8% 6% 15%

Q STU TU U VW

Internationally

- - - - - - - - - - - - - - 1611 691 919 374 387 434 415 520 505 482- - - - - - - - - - - - - - 82% 74% 89% 65% 76% 94% 99% 87% 87% 72%

P R RS RST X X

Neither

- - - - - - - - - - - - - - 1990 951 1039 590 520 462 418 603 583 690- - - - - - - - - - - - - - 101% 102% 101% 103% 102% 100% 100% 101% 100% 103%

Sigma



19 Jun 2020Table 123CDC02 Which of the following are reason(s) why you traveled? Please select all that apply.






- - - - - - - - - - - - - - 555 295 259 175 159 107 114 168 180 188- - - - - - - - - - - - - - 28% 32% 25% 30% 31% 23% 27% 28% 31% 28%

Q T T

Shopping

- - - - - - - - - - - - - - 457 241 216 158 127 91 81 126 133 179- - - - - - - - - - - - - - 23% 26% 21% 27% 25% 20% 19% 21% 23% 27%

Q TU v

See friends and family

- - - - - - - - - - - - - - 352 211 141 140 117 56 40 85 98 151- - - - - - - - - - - - - - 18% 23% 14% 24% 23% 12% 9% 14% 17% 23%

Q TU TU Vw

Vacation

- - - - - - - - - - - - - - 327 193 134 101 101 60 64 103 85 128- - - - - - - - - - - - - - 17% 21% 13% 18% 20% 13% 15% 17% 15% 19%

Q T

Medical

- - - - - - - - - - - - - - 270 165 105 112 94 40 24 58 76 130- - - - - - - - - - - - - - 14% 18% 10% 20% 19% 9% 6% 10% 13% 19%

Q TU TU v VW

Entertainment

- - - - - - - - - - - - - - 233 175 58 109 91 28 6 59 47 122- - - - - - - - - - - - - - 12% 19% 6% 19% 18% 6% 1% 10% 8% 18%

Q TU TU U VW

Business travel

- - - - - - - - - - - - - - 185 114 71 85 63 27 10 39 51 88- - - - - - - - - - - - - - 9% 12% 7% 15% 12% 6% 2% 6% 9% 13%

Q TU TU U Vw

Taking care of sick familymember(s)

- - - - - - - - - - - - - - 77 38 39 22 23 20 12 27 20 24- - - - - - - - - - - - - - 4% 4% 4% 4% 4% 4% 3% 5% 3% 4%

Other

- - - - - - - - - - - - - - 821 304 517 172 184 237 229 268 250 236- - - - - - - - - - - - - - 42% 33% 50% 30% 36% 51% 55% 45% 43% 35%

P r RS RS X X

N/A - I have not traveled

- - - - - - - - - - - - - - 3278 1737 1541 1073 959 666 580 934 940 1246- - - - - - - - - - - - - - 167% 186% 150% 187% 189% 144% 139% 156% 162% 186%

Sigma



19 Jun 2020Table 124CDC03 Which of the following, if any, precautions did you take before, during or after traveling? Please select all that apply.






- - - - - - - - - - - - - - 593 302 291 203 157 131 102 180 181 214- - - - - - - - - - - - - - 30% 32% 28% 35% 31% 28% 24% 30% 31% 32%

tU u

Using hand sanitizer

- - - - - - - - - - - - - - 557 290 267 163 154 129 111 173 184 184- - - - - - - - - - - - - - 28% 31% 26% 28% 30% 28% 27% 29% 32% 28%

Q

Staying 6 feet apart frompeople in public

- - - - - - - - - - - - - - 538 282 255 156 146 127 109 174 183 166- - - - - - - - - - - - - - 27% 30% 25% 27% 29% 28% 26% 29% 32% 25%

Q X

Washing hands often for atleast 20 seconds

- - - - - - - - - - - - - - 497 273 224 168 134 108 88 160 161 166- - - - - - - - - - - - - - 25% 29% 22% 29% 26% 23% 21% 27% 28% 25%

Q tU

Wearing a cloth facecovering while traveling

- - - - - - - - - - - - - - 457 228 229 125 139 111 82 125 153 170- - - - - - - - - - - - - - 23% 24% 22% 22% 27% 24% 20% 21% 26% 25%

rU V

Refraining from touchingmouth and nose

- - - - - - - - - - - - - - 376 210 167 135 109 79 53 120 99 141- - - - - - - - - - - - - - 19% 23% 16% 23% 22% 17% 13% 20% 17% 21%

Q tU U

Using alcohol-basedcleaning wipes to wipedown surfaces (e.g.,airplane armrests, back ofseat screens, etc.)

- - - - - - - - - - - - - - 345 205 140 121 120 53 52 102 97 139- - - - - - - - - - - - - - 18% 22% 14% 21% 24% 11% 12% 17% 17% 21%

Q TU TU

Wearing gloves whiletraveling during activitiesthat require me to touchcommonly used surfaces(e.g., pumping gas, creditcard machines, etc.)

- - - - - - - - - - - - - - 337 188 149 136 100 48 53 98 97 139- - - - - - - - - - - - - - 17% 20% 14% 24% 20% 10% 13% 16% 17% 21%

Q TU TU

Prepare food and water formy trip to avoid having togo into grocery stores (e.g.,packing non-perishablefood)

- - - - - - - - - - - - - - 315 181 134 122 90 65 38 100 94 118- - - - - - - - - - - - - - 16% 19% 13% 21% 18% 14% 9% 17% 16% 18%

Q TU U u

Cleaning travel accessoriesupon arrival (e.g., suitcase,purse, mobile phone)

- - - - - - - - - - - - - - 300 167 132 112 101 46 41 89 89 112- - - - - - - - - - - - - - 15% 18% 13% 20% 20% 10% 10% 15% 15% 17%

Q TU TU

Self-quarantining beforetraveling (e.g., socialdistancing from others andlimiting indoor visits toessential errands)

- - - - - - - - - - - - - - 299 166 134 120 105 41 33 97 76 119- - - - - - - - - - - - - - 15% 18% 13% 21% 21% 9% 8% 16% 13% 18%

Q TU TU w

Checking safetyprecautions/practices of theplace I am staying (e.g.,hotel, motel, rented house,cabin)

- - - - - - - - - - - - - - 281 160 122 118 97 36 30 76 93 106- - - - - - - - - - - - - - 14% 17% 12% 21% 19% 8% 7% 13% 16% 16%

Q TU TU

Self-quarantining aftertraveling



19 Jun 2020Table 124CDC03 Which of the following, if any, precautions did you take before, during or after traveling? Please select all that apply.





-** -** -** -** -** -** -** -** -** -** -** -** -** -** 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - - - - - - - - - - - - - 278 161 117 99 108 51 20 88 85 98- - - - - - - - - - - - - - 14% 17% 11% 17% 21% 11% 5% 15% 15% 15%

Q TU TU U

Cleaning and disinfectingrooms in travel lodgings(e.g., hotel, Airbnb)

- - - - - - - - - - - - - - 194 135 60 80 77 29 9 60 49 84- - - - - - - - - - - - - - 10% 14% 6% 14% 15% 6% 2% 10% 8% 13%

Q TU TU U w

Getting a COVID-19 testbefore traveling

- - - - - - - - - - - - - - 193 136 57 84 81 15 13 61 53 75- - - - - - - - - - - - - - 10% 15% 6% 15% 16% 3% 3% 10% 9% 11%

Q TU TU

Getting a COVID-19 testafter traveling

- - - - - - - - - - - - - - 59 36 23 31 16 12 - 17 10 29- - - - - - - - - - - - - - 3% 4% 2% 5% 3% 3% - 3% 2% 4%

q tU U U w

Other

- - - - - - - - - - - - - - 825 305 520 143 170 248 264 265 247 252- - - - - - - - - - - - - - 42% 33% 50% 25% 33% 54% 63% 44% 42% 38%

P R RS RST x

N/A - I am not traveling

- - - - - - - - - - - - - - 102 47 56 26 30 29 17 35 24 20- - - - - - - - - - - - - - 5% 5% 5% 5% 6% 6% 4% 6% 4% 3%

x

None - I am not taking anyprecautions during/aftertraveling

- - - - - - - - - - - - - - 6549 3471 3078 2141 1933 1358 1116 2022 1976 2331- - - - - - - - - - - - - - 334% 372% 299% 373% 380% 294% 267% 337% 340% 349%

Sigma



19 Jun 2020Table 125CDC04 Which of the following motivate you to follow recommended safety protocols due to COVID-19? Please select all that apply.






- - - - - - - - - - - - - - 1139 503 636 228 260 308 344 376 352 353- - - - - - - - - - - - - - 58% 54% 62% 40% 51% 67% 82% 63% 61% 53%

P R RS RST X X

I don’t want to contract thevirus

- - - - - - - - - - - - - - 1052 473 579 234 253 258 306 307 328 364- - - - - - - - - - - - - - 54% 51% 56% 41% 50% 56% 73% 51% 56% 54%

p R R RST

I do not want toaccidentally spread thevirus to my family/friends

- - - - - - - - - - - - - - 1024 427 597 240 239 266 280 316 320 337- - - - - - - - - - - - - - 52% 46% 58% 42% 47% 57% 67% 53% 55% 50%

P RS RST

I want to stay healthy so Ican see my family/friends

- - - - - - - - - - - - - - 945 379 566 203 226 255 261 277 312 313- - - - - - - - - - - - - - 48% 41% 55% 35% 45% 55% 63% 46% 54% 47%

P R RS RSt Vx

I want to help flatten thecurve so we can get overthe pandemic faster

- - - - - - - - - - - - - - 857 406 450 202 203 213 239 234 283 295- - - - - - - - - - - - - - 44% 44% 44% 35% 40% 46% 57% 39% 49% 44%

R RST V

I don’t want to accidentallyspread the virus to mycommunity or thecommunity I’m travelingto

- - - - - - - - - - - - - - 661 309 352 122 162 158 219 202 213 209- - - - - - - - - - - - - - 34% 33% 34% 21% 32% 34% 52% 34% 37% 31%

R R RST

I fear that if I caughtCOVID-19 I could die

- - - - - - - - - - - - - - 619 278 341 75 114 156 275 215 200 177- - - - - - - - - - - - - - 32% 30% 33% 13% 22% 34% 66% 36% 34% 26%

R RS RST X X

I am at high risk forserious illness fromCOVID-19 given myhealth condition and/or age

- - - - - - - - - - - - - - 551 263 288 162 132 120 136 172 170 180- - - - - - - - - - - - - - 28% 28% 28% 28% 26% 26% 33% 29% 29% 27%

st

I live with others who areat a higher risk for seriousillness from COVID-19and I don’t want to exposethem

- - - - - - - - - - - - - - 305 150 155 106 146 39 14 101 72 123- - - - - - - - - - - - - - 16% 16% 15% 18% 29% 8% 3% 17% 12% 18%

TU RTU U w W

I have young children whoI do not want to get sick

- - - - - - - - - - - - - - 40 23 17 20 12 5 3 16 14 5- - - - - - - - - - - - - - 2% 2% 2% 3% 2% 1% 1% 3% 2% 1%

tU X x

Other

- - - - - - - - - - - - - - 164 78 86 65 44 31 24 61 38 37- - - - - - - - - - - - - - 8% 8% 8% 11% 9% 7% 6% 10% 7% 6%

TU WX

N/A - I am not followingrecommended precautionsof COVID-19

- - - - - - - - - - - - - - 7356 3289 4067 1657 1791 1807 2101 2277 2302 2394- - - - - - - - - - - - - - 375% 353% 395% 288% 352% 391% 503% 380% 396% 358%

Sigma



19 Jun 2020Table 126CDC05 Which of the following are reasons that have refrained you in the past or are currently refraining you from following

the recommended safety protocols to limit the spread of COVID-19? Please select all that apply.






- - - - - - - - - - - - - - 332 191 140 118 96 74 44 97 91 133- - - - - - - - - - - - - - 17% 21% 14% 20% 19% 16% 11% 16% 16% 20%

Q U U u

There are so manyconflicting safety protocolrecommendations it isconfusing to know whichone to trust

- - - - - - - - - - - - - - 329 178 152 123 120 59 28 97 80 146- - - - - - - - - - - - - - 17% 19% 15% 21% 24% 13% 7% 16% 14% 22%

Q TU TU U VW

Face masks make it hard tobreathe and I have a hardtime breathing evenwithout the mask

- - - - - - - - - - - - - - 292 181 111 122 88 49 33 75 75 134- - - - - - - - - - - - - - 15% 19% 11% 21% 17% 11% 8% 12% 13% 20%

Q TU TU VW

I live in an area with lowpopulation density andtherefore I am at a lowerrisk of contracting thevirus

- - - - - - - - - - - - - - 275 160 114 109 91 57 18 80 72 114- - - - - - - - - - - - - - 14% 17% 11% 19% 18% 12% 4% 13% 12% 17%

Q TU tU U w

Cloth face coverings areuncomfortable to wear

- - - - - - - - - - - - - - 213 134 79 63 83 39 28 49 56 102- - - - - - - - - - - - - - 11% 14% 8% 11% 16% 8% 7% 8% 10% 15%

Q u RTU VW

I don’t agree that the safetyprotocols will help stop thespread

- - - - - - - - - - - - - - 185 125 60 71 73 28 14 49 38 94- - - - - - - - - - - - - - 9% 13% 6% 12% 14% 6% 3% 8% 6% 14%

Q TU TU VW

The people I live withdon’t follow therecommended safetyprotocols

- - - - - - - - - - - - - - 168 102 67 66 61 29 12 53 44 63- - - - - - - - - - - - - - 9% 11% 6% 12% 12% 6% 3% 9% 8% 9%

Q TU TU u

I don’t have COVID-19 soI don’t need to follow strictprotocols

- - - - - - - - - - - - - - 140 86 53 60 56 15 8 45 32 53- - - - - - - - - - - - - - 7% 9% 5% 10% 11% 3% 2% 7% 6% 8%

Q TU TU

I can’t afford PPE (e.g.,face mask/gloves)

- - - - - - - - - - - - - - 119 75 45 50 41 24 5 35 29 51- - - - - - - - - - - - - - 6% 8% 4% 9% 8% 5% 1% 6% 5% 8%

Q tU U U

I do not have access to aface mask/gloves

- - - - - - - - - - - - - - 52 26 26 21 14 9 7 20 15 8- - - - - - - - - - - - - - 3% 3% 3% 4% 3% 2% 2% 3% 3% 1%

X

Other

- - - - - - - - - - - - - - 1043 410 633 209 230 281 323 324 330 312- - - - - - - - - - - - - - 53% 44% 61% 36% 45% 61% 77% 54% 57% 47%

P R RS RST X X

N/A - there are no reasonswhich inhibit me fromfollowing recommendedprecautions of COVID-19.

- - - - - - - - - - - - - - 3148 1668 1481 1013 952 664 520 923 863 1210- - - - - - - - - - - - - - 160% 179% 144% 176% 187% 144% 125% 154% 149% 181%

Sigma



19 Jun 2020Table 127CDC06 Do you have upcoming plans to travel outside of your region, if so when do you plan on traveling?

Summary Of International






- - - - - - - - - - - - - - 279 189 90 138 101 27 12 60 59 155- - - - - - - - - - - - - - 14% 20% 9% 24% 20% 6% 3% 10% 10% 23%

Q TU TU u VW

3-6 months from now

- - - - - - - - - - - - - - 180 132 48 96 74 8 3 38 31 110- - - - - - - - - - - - - - 9% 14% 5% 17% 14% 2% 1% 6% 5% 17%

Q TU TU VW

This week

- - - - - - - - - - - - - - 174 118 56 94 67 12 1 42 34 97- - - - - - - - - - - - - - 9% 13% 5% 16% 13% 3% * 7% 6% 14%

Q TU TU U VW

2-3 months from now

- - - - - - - - - - - - - - 127 94 33 80 37 9 1 39 21 61- - - - - - - - - - - - - - 6% 10% 3% 14% 7% 2% * 7% 4% 9%

Q STU TU u W W

Within the next 30 days



19 Jun 2020Table 128CDC06 Do you have upcoming plans to travel outside of your region, if so when do you plan on traveling?

Summary Of Domestic






- - - - - - - - - - - - - - 663 347 317 209 180 145 130 161 201 277- - - - - - - - - - - - - - 34% 37% 31% 36% 35% 31% 31% 27% 35% 41%

Q V Vw

3-6 months from now

- - - - - - - - - - - - - - 519 296 224 177 153 106 84 127 151 219- - - - - - - - - - - - - - 26% 32% 22% 31% 30% 23% 20% 21% 26% 33%

Q TU TU v VW

2-3 months from now

- - - - - - - - - - - - - - 415 247 168 158 144 74 39 107 110 186- - - - - - - - - - - - - - 21% 26% 16% 28% 28% 16% 9% 18% 19% 28%

Q TU TU U VW


- - - - - - - - - - - - - - 239 150 89 113 60 40 27 74 59 100- - - - - - - - - - - - - - 12% 16% 9% 20% 12% 9% 6% 12% 10% 15%

Q STU U w

This week



19 Jun 2020Table 129CDC06_1 Do you have upcoming plans to travel outside of your region, if so when do you plan on traveling?

This week






- - - - - - - - - - - - - - 180 132 48 96 74 8 3 38 31 110- - - - - - - - - - - - - - 9% 14% 5% 17% 14% 2% 1% 6% 5% 17%

Q TU TU VW

International

- - - - - - - - - - - - - - 239 150 89 113 60 40 27 74 59 100- - - - - - - - - - - - - - 12% 16% 9% 20% 12% 9% 6% 12% 10% 15%

Q STU U w

Domestic

- - - - - - - - - - - - - - 1564 665 899 375 386 414 389 490 493 474- - - - - - - - - - - - - - 80% 71% 87% 65% 76% 90% 93% 82% 85% 71%

P R RS RS X X

Not applicable

- - - - - - - - - - - - - - 1984 948 1036 584 520 462 418 602 583 684- - - - - - - - - - - - - - 101% 102% 101% 102% 102% 100% 100% 100% 100% 102%

Sigma










- - - - - - - - - - - - - - 127 94 33 80 37 9 1 39 21 61- - - - - - - - - - - - - - 6% 10% 3% 14% 7% 2% * 7% 4% 9%

Q STU TU u W W

International

- - - - - - - - - - - - - - 415 247 168 158 144 74 39 107 110 186- - - - - - - - - - - - - - 21% 26% 16% 28% 28% 16% 9% 18% 19% 28%

Q TU TU U VW

Domestic

- - - - - - - - - - - - - - 1431 598 833 343 330 380 377 456 452 426- - - - - - - - - - - - - - 73% 64% 81% 60% 65% 82% 90% 76% 78% 64%

P RS RST X X

Not applicable

- - - - - - - - - - - - - - 1973 940 1034 582 512 462 418 602 583 674- - - - - - - - - - - - - - 101% 101% 100% 101% 101% 100% 100% 100% 100% 101%

Sigma




2-3 months from now






- - - - - - - - - - - - - - 174 118 56 94 67 12 1 42 34 97- - - - - - - - - - - - - - 9% 13% 5% 16% 13% 3% * 7% 6% 14%

Q TU TU U VW

International

- - - - - - - - - - - - - - 519 296 224 177 153 106 84 127 151 219- - - - - - - - - - - - - - 26% 32% 22% 31% 30% 23% 20% 21% 26% 33%

Q TU TU v VW

Domestic

- - - - - - - - - - - - - - 1299 540 758 317 304 344 333 434 403 369- - - - - - - - - - - - - - 66% 58% 74% 55% 60% 74% 80% 72% 69% 55%

P RS RS X X

Not applicable

- - - - - - - - - - - - - - 1992 954 1038 588 524 462 418 604 588 685- - - - - - - - - - - - - - 101% 102% 101% 102% 103% 100% 100% 101% 101% 102%

Sigma




3-6 months from now






- - - - - - - - - - - - - - 279 189 90 138 101 27 12 60 59 155- - - - - - - - - - - - - - 14% 20% 9% 24% 20% 6% 3% 10% 10% 23%

Q TU TU u VW

International

- - - - - - - - - - - - - - 663 347 317 209 180 145 130 161 201 277- - - - - - - - - - - - - - 34% 37% 31% 36% 35% 31% 31% 27% 35% 41%

Q V Vw

Domestic

- - - - - - - - - - - - - - 1102 451 651 248 272 300 282 390 336 290- - - - - - - - - - - - - - 56% 48% 63% 43% 53% 65% 68% 65% 58% 43%

P R RS RS WX X

Not applicable

- - - - - - - - - - - - - - 2044 987 1057 595 552 472 424 611 596 723- - - - - - - - - - - - - - 104% 106% 103% 104% 109% 102% 101% 102% 103% 108%

Sigma



19 Jun 2020Table 133CDC07 Which of the following means of transportation do you plan on taking for your upcoming travel?

Summary Of Domestically






- - - - - - - - - - - - - - 968 496 472 269 271 218 209 231 315 373- - - - - - - - - - - - - - 49% 53% 46% 47% 53% 47% 50% 38% 54% 56%

Q r V V

Car travel

- - - - - - - - - - - - - - 341 195 146 141 106 55 38 63 97 160- - - - - - - - - - - - - - 17% 21% 14% 25% 21% 12% 9% 10% 17% 24%

Q TU TU V VW

Air travel

- - - - - - - - - - - - - - 283 196 87 145 117 16 5 73 63 140- - - - - - - - - - - - - - 14% 21% 8% 25% 23% 4% 1% 12% 11% 21%

Q TU TU u VW

Bus or train travel

- - - - - - - - - - - - - - 222 148 73 100 72 34 16 48 53 114- - - - - - - - - - - - - - 11% 16% 7% 17% 14% 7% 4% 8% 9% 17%

Q TU TU u VW

RV travel

- - - - - - - - - - - - - - 175 133 42 92 72 7 4 33 32 105- - - - - - - - - - - - - - 9% 14% 4% 16% 14% 2% 1% 5% 5% 16%

Q TU TU VW

Cruise travel



19 Jun 2020Table 134CDC07 Which of the following means of transportation do you plan on taking for your upcoming travel?

Summary Of Internationally






- - - - - - - - - - - - - - 348 243 105 154 130 47 17 65 78 201- - - - - - - - - - - - - - 18% 26% 10% 27% 26% 10% 4% 11% 13% 30%

Q TU TU U VW

Air travel

- - - - - - - - - - - - - - 215 157 58 109 79 23 4 48 41 124- - - - - - - - - - - - - - 11% 17% 6% 19% 16% 5% 1% 8% 7% 19%

Q TU TU U VW

Cruise travel

- - - - - - - - - - - - - - 191 141 50 105 62 15 10 54 34 101- - - - - - - - - - - - - - 10% 15% 5% 18% 12% 3% 2% 9% 6% 15%

Q STU TU w VW

Car travel

- - - - - - - - - - - - - - 182 136 46 96 64 20 2 44 32 103- - - - - - - - - - - - - - 9% 15% 4% 17% 13% 4% 1% 7% 6% 15%

Q TU TU U VW

RV travel

- - - - - - - - - - - - - - 168 117 51 104 42 20 2 44 29 88- - - - - - - - - - - - - - 9% 13% 5% 18% 8% 4% 1% 7% 5% 13%

Q STU tU U VW

Bus or train travel



19 Jun 2020Table 135CDC07_1 Which of the following means of transportation do you plan on taking for your upcoming travel?

Air travel






- - - - - - - - - - - - - - 341 195 146 141 106 55 38 63 97 160- - - - - - - - - - - - - - 17% 21% 14% 25% 21% 12% 9% 10% 17% 24%

Q TU TU V VW

Domestically

- - - - - - - - - - - - - - 348 243 105 154 130 47 17 65 78 201- - - - - - - - - - - - - - 18% 26% 10% 27% 26% 10% 4% 11% 13% 30%

Q TU TU U VW

Internationally

- - - - - - - - - - - - - - 1354 553 801 313 303 371 366 479 426 360- - - - - - - - - - - - - - 69% 59% 78% 55% 60% 80% 88% 80% 73% 54%

P RS RST WX X

Not applicable

- - - - - - - - - - - - - - 2043 991 1052 609 540 473 421 606 600 722- - - - - - - - - - - - - - 104% 106% 102% 106% 106% 102% 101% 101% 103% 108%

Sigma




Car travel






- - - - - - - - - - - - - - 968 496 472 269 271 218 209 231 315 373- - - - - - - - - - - - - - 49% 53% 46% 47% 53% 47% 50% 38% 54% 56%

Q r V V

Domestically

- - - - - - - - - - - - - - 191 141 50 105 62 15 10 54 34 101- - - - - - - - - - - - - - 10% 15% 5% 18% 12% 3% 2% 9% 6% 15%

Q STU TU w VW

Internationally

- - - - - - - - - - - - - - 836 320 516 217 188 229 202 320 236 216- - - - - - - - - - - - - - 43% 34% 50% 38% 37% 50% 48% 53% 41% 32%

P RS RS WX X

Not applicable

- - - - - - - - - - - - - - 1995 957 1037 591 520 462 421 605 586 690- - - - - - - - - - - - - - 102% 103% 101% 103% 102% 100% 101% 101% 101% 103%

Sigma




Bus or train travel






- - - - - - - - - - - - - - 283 196 87 145 117 16 5 73 63 140- - - - - - - - - - - - - - 14% 21% 8% 25% 23% 4% 1% 12% 11% 21%

Q TU TU u VW

Domestically

- - - - - - - - - - - - - - 168 117 51 104 42 20 2 44 29 88- - - - - - - - - - - - - - 9% 13% 5% 18% 8% 4% 1% 7% 5% 13%

Q STU tU U VW

Internationally

- - - - - - - - - - - - - - 1537 633 903 338 358 430 411 486 491 459- - - - - - - - - - - - - - 78% 68% 88% 59% 70% 93% 98% 81% 85% 69%

P R RS RST X X

Not applicable

- - - - - - - - - - - - - - 1988 946 1041 587 517 466 418 603 583 687- - - - - - - - - - - - - - 101% 101% 101% 102% 102% 101% 100% 101% 100% 103%

Sigma




RV travel






- - - - - - - - - - - - - - 222 148 73 100 72 34 16 48 53 114- - - - - - - - - - - - - - 11% 16% 7% 17% 14% 7% 4% 8% 9% 17%

Q TU TU u VW

Domestically

- - - - - - - - - - - - - - 182 136 46 96 64 20 2 44 32 103- - - - - - - - - - - - - - 9% 15% 4% 17% 13% 4% 1% 7% 6% 15%

Q TU TU U VW

Internationally

- - - - - - - - - - - - - - 1583 667 916 386 387 410 400 509 497 472- - - - - - - - - - - - - - 81% 72% 89% 67% 76% 89% 96% 85% 86% 71%

P R RS RST X X

Not applicable

- - - - - - - - - - - - - - 1986 951 1035 582 523 464 418 601 582 689- - - - - - - - - - - - - - 101% 102% 100% 101% 103% 100% 100% 100% 100% 103%

Sigma




Cruise travel






- - - - - - - - - - - - - - 175 133 42 92 72 7 4 33 32 105- - - - - - - - - - - - - - 9% 14% 4% 16% 14% 2% 1% 5% 5% 16%

Q TU TU VW

Domestically

- - - - - - - - - - - - - - 215 157 58 109 79 23 4 48 41 124- - - - - - - - - - - - - - 11% 17% 6% 19% 16% 5% 1% 8% 7% 19%

Q TU TU U VW

Internationally

- - - - - - - - - - - - - - 1599 664 936 383 373 433 410 521 511 460- - - - - - - - - - - - - - 81% 71% 91% 67% 73% 94% 98% 87% 88% 69%

P r RS RST X X

Not applicable

- - - - - - - - - - - - - - 1989 954 1035 584 524 464 418 602 584 690- - - - - - - - - - - - - - 101% 102% 100% 102% 103% 100% 100% 100% 101% 103%

Sigma



19 Jun 2020Table 140CDC08 How willing are you to share your contact information with the United States government to help with potential contact

tracing efforts which would allow public health authorities to notify you of possible COVID-19 exposure, should aperson whom you were in close contact with become infected?






- - - - - - - - - - - - - - 1203 588 615 304 330 282 288 348 354 443- - - - - - - - - - - - - - 61% 63% 60% 53% 65% 61% 69% 58% 61% 66%

R R Rt V

Very/Somewhat Willing(Net)

- - - - - - - - - - - - - - 529 255 273 104 167 120 138 135 147 218- - - - - - - - - - - - - - 27% 27% 27% 18% 33% 26% 33% 23% 25% 33%

Rt R Rt VW

Very willing

- - - - - - - - - - - - - - 675 332 342 200 162 162 150 213 207 224- - - - - - - - - - - - - - 34% 36% 33% 35% 32% 35% 36% 36% 36% 34%

Somewhat willing

- - - - - - - - - - - - - - 760 344 415 271 178 181 130 251 227 226- - - - - - - - - - - - - - 39% 37% 40% 47% 35% 39% 31% 42% 39% 34%

STU u X

Not At All/Not VeryWilling (Net)

- - - - - - - - - - - - - - 399 172 227 173 85 86 55 127 120 130- - - - - - - - - - - - - - 20% 18% 22% 30% 17% 19% 13% 21% 21% 19%

STU u

Not very willing

- - - - - - - - - - - - - - 361 173 188 98 93 95 75 124 107 96- - - - - - - - - - - - - - 18% 19% 18% 17% 18% 20% 18% 21% 18% 14%

X

Not at all willing

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 141CDC09 How concerned are you about potentially bringing COVID-19 to other areas when traveling?






- - - - - - - - - - - - - - 961 557 403 371 289 158 143 257 296 374- - - - - - - - - - - - - - 49% 60% 39% 65% 57% 34% 34% 43% 51% 56%

Q STU TU V V


- - - - - - - - - - - - - - 529 320 209 188 187 89 66 141 146 227- - - - - - - - - - - - - - 27% 34% 20% 33% 37% 19% 16% 24% 25% 34%

Q TU TU VW

Very concerned

- - - - - - - - - - - - - - 431 237 194 183 102 69 78 115 150 147- - - - - - - - - - - - - - 22% 25% 19% 32% 20% 15% 19% 19% 26% 22%

Q STU V

Somewhat concerned

- - - - - - - - - - - - - - 448 195 253 101 97 142 108 123 129 171- - - - - - - - - - - - - - 23% 21% 25% 18% 19% 31% 26% 20% 22% 26%

RS RS


- - - - - - - - - - - - - - 240 101 139 67 48 71 54 77 63 89- - - - - - - - - - - - - - 12% 11% 14% 12% 10% 15% 13% 13% 11% 13%

S

Not very concerned

- - - - - - - - - - - - - - 209 94 114 34 48 71 54 46 66 81- - - - - - - - - - - - - - 11% 10% 11% 6% 10% 15% 13% 8% 11% 12%

r RS R v V


- - - - - - - - - - - - - - 554 180 374 103 123 162 166 220 156 124- - - - - - - - - - - - - - 28% 19% 36% 18% 24% 35% 40% 37% 27% 19%

P R RS RS WX X

N/A - I am not traveling toother areas

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 142CDC10 How concerned are you about potentially bringing COVID-19 back to your area after traveling?






- - - - - - - - - - - - - - 970 542 428 345 280 179 166 244 305 387- - - - - - - - - - - - - - 49% 58% 42% 60% 55% 39% 40% 41% 52% 58%

Q TU TU V V


- - - - - - - - - - - - - - 480 275 205 159 159 87 74 128 149 189- - - - - - - - - - - - - - 24% 30% 20% 28% 31% 19% 18% 21% 26% 28%

Q TU TU V

Very concerned

- - - - - - - - - - - - - - 490 267 223 186 121 91 91 116 156 199- - - - - - - - - - - - - - 25% 29% 22% 32% 24% 20% 22% 19% 27% 30%

Q STU V V

Somewhat concerned

- - - - - - - - - - - - - - 379 185 194 103 93 102 81 123 111 128- - - - - - - - - - - - - - 19% 20% 19% 18% 18% 22% 19% 21% 19% 19%


- - - - - - - - - - - - - - 233 111 121 69 49 59 56 82 59 84- - - - - - - - - - - - - - 12% 12% 12% 12% 10% 13% 13% 14% 10% 13%

w

Not very concerned

- - - - - - - - - - - - - - 146 73 73 34 44 43 25 41 53 44- - - - - - - - - - - - - - 7% 8% 7% 6% 9% 9% 6% 7% 9% 7%


- - - - - - - - - - - - - - 614 206 408 126 135 182 171 233 164 153- - - - - - - - - - - - - - 31% 22% 40% 22% 27% 39% 41% 39% 28% 23%

P RS RS WX

N/A - I am not traveling toother areas

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 143CDC11 How much do you support or oppose The Centers for Disease Control and Prevention’s (CDC) ’’No Sail Order’’ that suspended

all cruise ship operations in waters subject to US jurisdiction and advised US travelers to defer all cruise travel?






- - - - - - - - - - - - - - 1368 623 745 304 366 358 339 407 426 472- - - - - - - - - - - - - - 70% 67% 72% 53% 72% 77% 81% 68% 73% 71%

P R R RS v


- - - - - - - - - - - - - - 832 363 469 138 210 245 239 237 276 277- - - - - - - - - - - - - - 42% 39% 46% 24% 41% 53% 57% 40% 47% 41%

P R RS RS V

Strongly support

- - - - - - - - - - - - - - 536 260 275 166 157 113 100 170 150 195- - - - - - - - - - - - - - 27% 28% 27% 29% 31% 24% 24% 28% 26% 29%

tu

Somewhat support

- - - - - - - - - - - - - - 379 219 160 183 94 64 39 107 98 147- - - - - - - - - - - - - - 19% 24% 16% 32% 18% 14% 9% 18% 17% 22%

Q STU U w


- - - - - - - - - - - - - - 245 153 92 127 56 36 27 66 54 109- - - - - - - - - - - - - - 12% 16% 9% 22% 11% 8% 6% 11% 9% 16%

Q STU U VW

Somewhat oppose

- - - - - - - - - - - - - - 135 66 68 57 38 28 12 42 43 38- - - - - - - - - - - - - - 7% 7% 7% 10% 7% 6% 3% 7% 7% 6%

tU U u

Strongly oppose

- - - - - - - - - - - - - - 216 90 126 88 48 41 40 86 57 50- - - - - - - - - - - - - - 11% 10% 12% 15% 9% 9% 9% 14% 10% 7%

STU WX

Do not know

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 144RC20 How have the recent events around racial inequality impacted your outlook on your career?






- - - - - - - - - - - - - - 362 193 169 156 129 65 11 96 108 146- - - - - - - - - - - - - - 18% 21% 16% 27% 25% 14% 3% 16% 19% 22%

q TU TU U V

Made me more worriedabout my careerdevelopment andopportunities in the future

- - - - - - - - - - - - - - 312 185 128 174 95 35 8 77 83 143- - - - - - - - - - - - - - 16% 20% 12% 30% 19% 8% 2% 13% 14% 21%

Q STU TU U VW

Made me hopeful for mycareer development andopportunities in the future

- - - - - - - - - - - - - - 1289 555 734 245 284 362 399 427 390 379- - - - - - - - - - - - - - 66% 60% 71% 43% 56% 78% 95% 71% 67% 57%

P R RS RST X X

N/A - the recent eventsaround racial inequalityhave not impacted myoutlook on my career

- - - - - - - - - - - - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 145EMP02 How concerned are you that you may lose your job due to the coronavirus outbreak?

Base: Employed




- - - 1198 1161 1147 1149 1207 1190 1173 1130 1103 1068 1141 1082 539 543 421 365 233 63 357 389 303Unweighted Base-** -** -** 1242 1173 1152 1138 1235 1184 1221 1096 1069 1076 1089 1115 602 513 389 379 279 67* 268 326 480Weighted Base

- - - 692 701 638 594 630 645 659 567 541 515 590 556 335 222 220 220 103 14 136 147 255- - - 56% 60% 55% 52% 51% 55% 54% 52% 51% 48% 54% 50% 56% 43% 56% 58% 37% 21% 51% 45% 53%

hlMO fGHIJKLMNO hlMO Mo M M Q TU TU U w


- - - 347 383 333 292 284 300 283 234 207 226 275 205 137 68 81 89 27 8 46 40 111- - - 28% 33% 29% 26% 23% 25% 23% 21% 19% 21% 25% 18% 23% 13% 21% 24% 10% 12% 17% 12% 23%

HJKLMO dGHIJKLMNO HJKLMO kLMO lO kLmO lO kLmO Q T Tu W

Very concerned

- - - 344 318 305 302 346 345 376 333 334 289 315 351 198 153 138 130 77 6 91 107 144- - - 28% 27% 26% 27% 28% 29% 31% 30% 31% 27% 29% 31% 33% 30% 35% 34% 28% 9% 34% 33% 30%

fg eFGm eFGm U U U

Somewhat concerned

- - - 551 471 514 544 604 539 563 529 528 560 499 559 267 292 170 160 176 53 132 179 225- - - 44% 40% 45% 48% 49% 45% 46% 48% 49% 52% 46% 50% 44% 57% 44% 42% 63% 79% 49% 55% 47%

e E dEf E E E dEf DEFIJN E DEFi P RS RST x


- - - 258 221 263 256 275 271 302 247 245 263 224 274 137 136 107 66 85 15 62 84 118- - - 21% 19% 23% 22% 22% 23% 25% 23% 23% 24% 21% 25% 23% 27% 27% 17% 31% 23% 23% 26% 25%

e e e e dEn e e En dEn S S

Not very concerned

- - - 293 251 251 288 329 267 261 282 283 297 275 285 129 155 63 94 90 38 70 94 106- - - 24% 21% 22% 25% 27% 23% 21% 26% 26% 28% 25% 26% 22% 30% 16% 25% 32% 56% 26% 29% 22%

ej EFiJ efj EFiJ dEFIJ ej efj P R R RST x


- - - 1242 1173 1152 1138 1235 1184 1221 1096 1069 1076 1089 1115 602 513 389 379 279 67 268 326 480- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 146Q9 Do you think your income in 2020 will be lower, higher or about the same as it was in 2019?





- - - 2016 1993 2013 2029 - - - - - 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** 2016 1993 2013 2029 -** -** -** -** -** 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - 864 816 895 921 - - - - - 909 895 946 388 559 213 206 240 287 317 283 276- - - 43% 41% 44% 45% - - - - - 46% 45% 48% 42% 54% 37% 41% 52% 69% 53% 49% 41%

e E dE E DEf P RS RST X X

About the same

- - - 791 862 826 726 - - - - - 625 676 572 267 305 172 156 149 94 166 189 189- - - 39% 43% 41% 36% - - - - - 32% 34% 29% 29% 30% 30% 31% 32% 23% 28% 33% 28%

gMNO DGMNO GMNO MO O U U U v

Lower

- - - 362 315 291 382 - - - - - 431 398 444 278 167 190 146 73 36 117 109 203- - - 18% 16% 14% 19% - - - - - 22% 20% 23% 30% 16% 33% 29% 16% 9% 19% 19% 30%

F EF DEFg EF DEFG Q TU TU U VW

Higher

- - - 2016 1993 2013 2029 - - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - 100% 100% 100% 100% - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 147EMP08 If you’ve been laid off or furloughed, how long do you think it will take for you to find a new job or be rehired?





- - - - - - 2029 2050 - - 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** -** 2029 2050 -** -** 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - - 192 211 - - 135 203 140 169 132 72 60 48 53 27 3 33 36 58- - - - - - 9% 10% - - 7% 10% 7% 9% 7% 8% 6% 8% 10% 6% 1% 6% 6% 9%

KMO KMO KMO o U TU U v

1-2 months from now

- - - - - - 287 290 - - 300 245 300 273 264 169 95 134 79 34 17 82 64 115- - - - - - 14% 14% - - 15% 12% 15% 14% 13% 18% 9% 23% 16% 7% 4% 14% 11% 17%

L L Q STU TU u W

3-6 months from now

- - - - - - 238 233 - - 241 211 241 260 242 131 111 115 80 35 12 60 75 95- - - - - - 12% 11% - - 12% 11% 12% 13% 12% 14% 11% 20% 16% 7% 3% 10% 13% 14%

L q TU TU U v

6 months - 1 year fromnow

- - - - - - 83 96 - - 136 117 103 87 119 76 43 46 36 34 4 40 28 46- - - - - - 4% 5% - - 7% 6% 5% 4% 6% 8% 4% 8% 7% 7% 1% 7% 5% 7%

GHmN G Gn Q U U U

More than a year from now

- - - - - - 1229 1219 - - 1149 1221 1181 1180 1206 484 721 231 260 332 382 385 377 354- - - - - - 61% 59% - - 59% 61% 60% 60% 61% 52% 70% 40% 51% 72% 91% 64% 65% 53%

P R RS RST X X

N/A - I have not been laidoff or furloughed

- - - - - - 2029 2050 - - 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 148EMP05 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Summary Of Yes





- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** 1993 2013 2029 2050 -** -** -** -** 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - 831 626 621 651 - - - - 602 595 524 278 246 168 162 127 67 130 171 207- - - - 42% 31% 31% 32% - - - - 31% 30% 27% 30% 24% 29% 32% 27% 16% 22% 30% 31%

FGHMNO O O O O o Q U U U V V

Lost income partially

- - - - 752 774 665 688 - - - - 633 654 523 285 238 214 170 99 40 159 148 183- - - - 38% 38% 33% 34% - - - - 32% 33% 27% 31% 23% 37% 33% 21% 10% 27% 26% 27%

GHMNO GHMNO O O O O Q TU TU U

Sought out new oradditional sources ofincome

- - - - 946 935 767 813 - - - - 790 698 519 274 245 177 162 109 71 155 160 178- - - - 47% 46% 38% 40% - - - - 40% 35% 26% 29% 24% 31% 32% 23% 17% 26% 28% 27%

GHMNO GHMNO O NO NO O Q TU TU u

I have been impactedfinancially in some otherway

- - - - 762 771 627 632 - - - - 651 668 498 255 243 203 142 107 46 146 157 170- - - - 38% 38% 31% 31% - - - - 33% 34% 25% 27% 24% 35% 28% 23% 11% 24% 27% 25%

GHMNO GHMNO O O O ghO STU U U

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

- - - - 560 581 599 580 - - - - 613 537 470 283 186 188 149 89 43 119 130 199- - - - 28% 29% 30% 28% - - - - 31% 27% 24% 30% 18% 33% 29% 19% 10% 20% 22% 30%

O O O O eNO o Q TU TU U VW

Provided financial supportfor a family member

- - - - 649 586 526 530 - - - - 573 564 413 222 191 146 128 99 40 130 130 131- - - - 33% 29% 26% 26% - - - - 29% 29% 21% 24% 19% 25% 25% 21% 9% 22% 22% 20%

fGHmNO ghO O O ghO O Q U U U

Stopped or cut back onretirement savings

- - - - 537 537 499 515 - - - - 474 485 376 201 176 168 122 64 23 120 112 125- - - - 27% 27% 25% 25% - - - - 24% 25% 19% 22% 17% 29% 24% 14% 6% 20% 19% 19%

O O O O O O Q TU TU U

Accumulated more debtthan normal

- - - - 755 805 796 787 - - - - 782 349 364 150 214 55 68 98 144 99 108 138- - - - 38% 40% 39% 38% - - - - 40% 18% 19% 16% 21% 10% 13% 21% 34% 17% 19% 21%

NO NO NO NO NO P RS RST

I have not been impactedfinancially

- - - - 543 488 466 503 - - - - 429 434 355 194 160 159 120 68 8 140 91 113- - - - 27% 24% 23% 25% - - - - 22% 22% 18% 21% 16% 28% 24% 15% 2% 23% 16% 17%

fGMNO O O O O O Q TU TU U WX

Missed (or will soon miss)a bill payment

- - - - 383 360 372 407 - - - - 451 391 343 220 123 167 119 41 16 90 85 158- - - - 19% 18% 18% 20% - - - - 23% 20% 17% 24% 12% 29% 23% 9% 4% 15% 15% 24%

EFGhnO Q sTU TU U VW

Provided financial supportfor a friend

- - - - 387 372 343 385 - - - - 313 317 284 162 122 128 111 39 7 104 67 104- - - - 19% 18% 17% 19% - - - - 16% 16% 14% 17% 12% 22% 22% 8% 2% 17% 11% 16%

gMNO mO o mnO Q TU TU U W

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

- - - - 325 328 322 355 - - - - 349 290 279 179 101 135 96 38 10 69 57 137- - - - 16% 16% 16% 17% - - - - 18% 15% 14% 19% 10% 23% 19% 8% 2% 12% 10% 20%

nO NO Q TU TU U VW

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

- - - - 378 268 227 241 - - - - 213 198 182 95 87 89 52 36 4 73 40 54- - - - 19% 13% 11% 12% - - - - 11% 10% 9% 10% 8% 16% 10% 8% 1% 12% 7% 8%

FGHMNO gmNO O STU U U Wx

Lost income entirely



19 Jun 2020Table 149EMP05_1 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

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






- - - - 387 372 343 385 - - - - 313 317 284 162 122 128 111 39 7 104 67 104- - - - 19% 18% 17% 19% - - - - 16% 16% 14% 17% 12% 22% 22% 8% 2% 17% 11% 16%

gMNO mO o mnO Q TU TU U W

Yes

- - - - 1606 1641 1686 1665 - - - - 1652 1652 1679 770 908 446 398 424 411 496 514 565- - - - 81% 82% 83% 81% - - - - 84% 84% 86% 83% 88% 78% 78% 92% 98% 83% 89% 84%

e Efh Eh EFgH P RS RST V

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Missed (or will soon miss) a bill payment






- - - - 543 488 466 503 - - - - 429 434 355 194 160 159 120 68 8 140 91 113- - - - 27% 24% 23% 25% - - - - 22% 22% 18% 21% 16% 28% 24% 15% 2% 23% 16% 17%

fGMNO O O O O O Q TU TU U WX

Yes

- - - - 1450 1525 1563 1547 - - - - 1536 1535 1608 738 870 416 388 394 410 460 490 555- - - - 73% 76% 77% 75% - - - - 78% 78% 82% 79% 84% 72% 76% 85% 98% 77% 84% 83%

e E E E EFGHMN P RS RST V V

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Provided financial support for a family member






- - - - 560 581 599 580 - - - - 613 537 470 283 186 188 149 89 43 119 130 199- - - - 28% 29% 30% 28% - - - - 31% 27% 24% 30% 18% 33% 29% 19% 10% 20% 22% 30%

O O O O eNO o Q TU TU U VW

Yes

- - - - 1433 1432 1430 1470 - - - - 1352 1432 1493 649 844 386 359 373 375 481 451 470- - - - 72% 71% 70% 72% - - - - 69% 73% 76% 70% 82% 67% 71% 81% 90% 80% 78% 70%

m M EFGHMn P RS RST X X

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Provided financial support for a friend






- - - - 383 360 372 407 - - - - 451 391 343 220 123 167 119 41 16 90 85 158- - - - 19% 18% 18% 20% - - - - 23% 20% 17% 24% 12% 29% 23% 9% 4% 15% 15% 24%

EFGhnO Q sTU TU U VW

Yes

- - - - 1610 1653 1657 1643 - - - - 1514 1578 1620 713 908 408 389 421 402 510 496 510- - - - 81% 82% 82% 80% - - - - 77% 80% 83% 76% 88% 71% 77% 91% 96% 85% 85% 76%

M M M m m M P r RS RST X X

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Sought out new or additional sources of income






- - - - 752 774 665 688 - - - - 633 654 523 285 238 214 170 99 40 159 148 183- - - - 38% 38% 33% 34% - - - - 32% 33% 27% 31% 23% 37% 33% 21% 10% 27% 26% 27%

GHMNO GHMNO O O O O Q TU TU U

Yes

- - - - 1241 1239 1364 1362 - - - - 1332 1315 1440 647 793 361 338 364 378 441 432 486- - - - 62% 62% 67% 66% - - - - 68% 67% 73% 69% 77% 63% 67% 79% 90% 73% 74% 73%

EF EF EF EF EFGHMN P RS RST

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost income partially






- - - - 831 626 621 651 - - - - 602 595 524 278 246 168 162 127 67 130 171 207- - - - 42% 31% 31% 32% - - - - 31% 30% 27% 30% 24% 29% 32% 27% 16% 22% 30% 31%

FGHMNO O O O O o Q U U U V V

Yes

- - - - 1162 1387 1408 1399 - - - - 1363 1374 1439 654 785 407 346 335 350 470 409 462- - - - 58% 69% 69% 68% - - - - 69% 70% 73% 70% 76% 71% 68% 73% 84% 78% 70% 69%

E E E E E EFGHMn P RST WX

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lost income entirely






- - - - 378 268 227 241 - - - - 213 198 182 95 87 89 52 36 4 73 40 54- - - - 19% 13% 11% 12% - - - - 11% 10% 9% 10% 8% 16% 10% 8% 1% 12% 7% 8%

FGHMNO gmNO O STU U U Wx

Yes

- - - - 1615 1745 1802 1809 - - - - 1752 1771 1781 837 944 485 456 426 413 526 541 615- - - - 81% 87% 89% 88% - - - - 89% 90% 91% 90% 92% 84% 90% 92% 99% 88% 93% 92%

E Ef E Ef EF EFH R R RST V v

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Accumulated more debt than normal






- - - - 537 537 499 515 - - - - 474 485 376 201 176 168 122 64 23 120 112 125- - - - 27% 27% 25% 25% - - - - 24% 25% 19% 22% 17% 29% 24% 14% 6% 20% 19% 19%

O O O O O O Q TU TU U

Yes

- - - - 1456 1476 1530 1535 - - - - 1491 1484 1587 732 855 407 386 398 395 480 469 543- - - - 73% 73% 75% 75% - - - - 76% 75% 81% 78% 83% 71% 76% 86% 94% 80% 81% 81%

EFGHMN P RS RST

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Stopped or cut back on retirement savings






- - - - 649 586 526 530 - - - - 573 564 413 222 191 146 128 99 40 130 130 131- - - - 33% 29% 26% 26% - - - - 29% 29% 21% 24% 19% 25% 25% 21% 9% 22% 22% 20%

fGHmNO ghO O O ghO O Q U U U

Yes

- - - - 1344 1427 1503 1520 - - - - 1392 1405 1550 711 839 428 380 364 378 470 451 538- - - - 67% 71% 74% 74% - - - - 71% 71% 79% 76% 81% 75% 75% 79% 91% 78% 78% 80%

e Efm Efm e E EFGHMN P RST

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - - 762 771 627 632 - - - - 651 668 498 255 243 203 142 107 46 146 157 170- - - - 38% 38% 31% 31% - - - - 33% 34% 25% 27% 24% 35% 28% 23% 11% 24% 27% 25%

GHMNO GHMNO O O O ghO STU U U

Yes

- - - - 1231 1242 1402 1418 - - - - 1314 1301 1465 678 788 371 367 356 372 454 424 499- - - - 62% 62% 69% 69% - - - - 67% 66% 75% 73% 76% 65% 72% 77% 89% 76% 73% 75%

EFn EFn EF EF EFGHMN R R RST

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - - 325 328 322 355 - - - - 349 290 279 179 101 135 96 38 10 69 57 137- - - - 16% 16% 16% 17% - - - - 18% 15% 14% 19% 10% 23% 19% 8% 2% 12% 10% 20%

nO NO Q TU TU U VW

Yes

- - - - 1668 1685 1707 1695 - - - - 1616 1679 1684 754 930 440 412 424 408 530 523 532- - - - 84% 84% 84% 83% - - - - 82% 85% 86% 81% 90% 77% 81% 92% 98% 88% 90% 80%

hM HM P RS RST X X

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I have been impacted financially in some other way






- - - - 946 935 767 813 - - - - 790 698 519 274 245 177 162 109 71 155 160 178- - - - 47% 46% 38% 40% - - - - 40% 35% 26% 29% 24% 31% 32% 23% 17% 26% 28% 27%

GHMNO GHMNO O NO NO O Q TU TU u

Yes

- - - - 1047 1078 1262 1237 - - - - 1175 1271 1444 659 786 397 347 354 346 445 421 490- - - - 53% 54% 62% 60% - - - - 60% 65% 74% 71% 76% 69% 68% 77% 83% 74% 72% 73%

EF EF EF EFHM EFGHMN P RS RSt

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




I have not been impacted financially






- - - - 755 805 796 787 - - - - 782 349 364 150 214 55 68 98 144 99 108 138- - - - 38% 40% 39% 38% - - - - 40% 18% 19% 16% 21% 10% 13% 21% 34% 17% 19% 21%

NO NO NO NO NO P RS RST

Yes

- - - - 1238 1208 1233 1263 - - - - 1183 1620 1599 782 817 520 441 364 274 500 473 530- - - - 62% 60% 61% 62% - - - - 60% 82% 81% 84% 79% 90% 87% 79% 66% 83% 81% 79%

EFGHM EFGHM Q TU TU U

No

- - - - 1993 2013 2029 2050 - - - - 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 162NAM03 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?

Summary Of Very/Somewhat Important






- - - - - - - - - - 1649 - - - 1680 794 886 466 443 401 371 495 507 586- - - - - - - - - - 84% - - - 86% 85% 86% 81% 87% 87% 89% 83% 87% 88%

R r R V V

Providing essentialbusinesses who havefollowed health guidanceto protect their employeesfrom the pandemic,safeguards from litigationthat may hinder theirability to recover.

- - - - - - - - - - 1650 - - - 1641 768 873 435 430 395 381 480 494 582- - - - - - - - - - 84% - - - 84% 82% 85% 76% 85% 85% 91% 80% 85% 87%

R R RST V V

Significant investment inour nation’s infrastructureto boost the economy.

- - - - - - - - - - 1597 - - - 1630 764 865 453 426 387 365 487 480 574- - - - - - - - - - 81% - - - 83% 82% 84% 79% 84% 84% 87% 81% 83% 86%

r R v

Significant investment inworkforce trainingprograms to aid dislocatedworkers.

- - - - - - - - - - 1682 - - - 1624 745 879 427 441 389 367 489 481 566- - - - - - - - - - 86% - - - 83% 80% 85% 74% 87% 84% 88% 82% 83% 85%

O P R R R

Congressional actions toensure that employees areable to go into workconfident that properhealth precautions arebeing implemented

- - - - - - - - - - 1651 - - - 1616 761 855 423 408 402 382 483 482 563- - - - - - - - - - 84% - - - 82% 82% 83% 74% 80% 87% 91% 81% 83% 84%

R RS RS

Reforms to boosteconomic and nationalsecurity by growingmanufacturing in the U.S.

- - - - - - - - - - 1629 - - - 1584 755 829 437 429 364 354 487 479 536- - - - - - - - - - 83% - - - 81% 81% 80% 76% 84% 79% 85% 81% 82% 80%

Rt Rt

Congressional actions tohelp manufacturers toramp up production anddistribution of personalprotective equipment______________________________________________________________________________________________________________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


19 Jun 2020Table 163NAM03 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?

Summary Of Not At All/Not Very Important






- - - - - - - - - - 332 - - - 379 177 202 137 79 98 64 113 102 133- - - - - - - - - - 17% - - - 19% 19% 20% 24% 16% 21% 15% 19% 18% 20%

SU su

Congressional actions tohelp manufacturers toramp up production anddistribution of personalprotective equipment

- - - - - - - - - - 310 - - - 347 172 175 152 100 60 36 116 98 105- - - - - - - - - - 16% - - - 18% 18% 17% 26% 20% 13% 9% 19% 17% 16%

STU TU

Reforms to boosteconomic and nationalsecurity by growingmanufacturing in the U.S.

- - - - - - - - - - 279 - - - 339 188 152 148 68 73 50 111 99 102- - - - - - - - - - 14% - - - 17% 20% 15% 26% 13% 16% 12% 18% 17% 15%

K Q STU

Congressional actions toensure that employees areable to go into workconfident that properhealth precautions arebeing implemented

- - - - - - - - - - 364 - - - 333 168 165 122 83 76 53 112 101 95- - - - - - - - - - 19% - - - 17% 18% 16% 21% 16% 16% 13% 19% 17% 14%

sU x

Significant investment inworkforce trainingprograms to aid dislocatedworkers.

- - - - - - - - - - 311 - - - 322 165 157 140 78 67 37 120 87 87- - - - - - - - - - 16% - - - 16% 18% 15% 24% 15% 15% 9% 20% 15% 13%

STU U U WX

Significant investment inour nation’s infrastructureto boost the economy.

- - - - - - - - - - 312 - - - 283 138 144 109 65 62 47 105 74 82- - - - - - - - - - 16% - - - 14% 15% 14% 19% 13% 13% 11% 17% 13% 12%

StU WX

Providing essentialbusinesses who havefollowed health guidanceto protect their employeesfrom the pandemic,safeguards from litigationthat may hinder theirability to recover.______________________________________________________________________________________________________________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


19 Jun 2020Table 164NAM03_1 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?

Significant investment in workforce training programs to aid dislocated workers.






- - - - - - - - - - 1597 - - - 1630 764 865 453 426 387 365 487 480 574- - - - - - - - - - 81% - - - 83% 82% 84% 79% 84% 84% 87% 81% 83% 86%

r R v

Very/Somewhat Important(Net)

- - - - - - - - - - 742 - - - 762 342 419 193 224 185 159 210 225 280- - - - - - - - - - 38% - - - 39% 37% 41% 34% 44% 40% 38% 35% 39% 42%

R r v

Very important

- - - - - - - - - - 855 - - - 868 422 446 260 202 202 206 278 255 294- - - - - - - - - - 44% - - - 44% 45% 43% 45% 40% 44% 49% 46% 44% 44%

S

Somewhat important

- - - - - - - - - - 364 - - - 333 168 165 122 83 76 53 112 101 95- - - - - - - - - - 19% - - - 17% 18% 16% 21% 16% 16% 13% 19% 17% 14%

sU x

Not At All/Not VeryImportant (Net)

- - - - - - - - - - 276 - - - 212 110 102 79 56 50 27 60 77 68- - - - - - - - - - 14% - - - 11% 12% 10% 14% 11% 11% 6% 10% 13% 10%

O U u u

Not very important

- - - - - - - - - - 88 - - - 121 57 63 42 27 26 26 52 24 26- - - - - - - - - - 4% - - - 6% 6% 6% 7% 5% 6% 6% 9% 4% 4%

k WX

Not at all important

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Congressional actions to help manufacturers to ramp up production and distribution of personal protective equipment






- - - - - - - - - - 1629 - - - 1584 755 829 437 429 364 354 487 479 536- - - - - - - - - - 83% - - - 81% 81% 80% 76% 84% 79% 85% 81% 82% 80%

Rt Rt


- - - - - - - - - - 768 - - - 750 340 411 170 219 182 179 233 229 249- - - - - - - - - - 39% - - - 38% 36% 40% 30% 43% 39% 43% 39% 39% 37%

R R R

Very important

- - - - - - - - - - 862 - - - 834 416 418 267 210 182 175 254 250 287- - - - - - - - - - 44% - - - 42% 45% 41% 47% 41% 39% 42% 42% 43% 43%

t

Somewhat important

- - - - - - - - - - 332 - - - 379 177 202 137 79 98 64 113 102 133- - - - - - - - - - 17% - - - 19% 19% 20% 24% 16% 21% 15% 19% 18% 20%

SU su


- - - - - - - - - - 255 - - - 268 126 142 107 56 62 42 66 83 106- - - - - - - - - - 13% - - - 14% 14% 14% 19% 11% 14% 10% 11% 14% 16%

StU v

Not very important

- - - - - - - - - - 76 - - - 111 51 60 30 24 36 21 47 19 27- - - - - - - - - - 4% - - - 6% 6% 6% 5% 5% 8% 5% 8% 3% 4%

K WX


- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Significant investment in our nation’s infrastructure to boost the economy.






- - - - - - - - - - 1650 - - - 1641 768 873 435 430 395 381 480 494 582- - - - - - - - - - 84% - - - 84% 82% 85% 76% 85% 85% 91% 80% 85% 87%

R R RST V V


- - - - - - - - - - 866 - - - 877 417 461 200 237 219 222 254 269 298- - - - - - - - - - 44% - - - 45% 45% 45% 35% 47% 47% 53% 42% 46% 45%

R R R

Very important

- - - - - - - - - - 784 - - - 764 351 413 235 194 176 159 226 225 284- - - - - - - - - - 40% - - - 39% 38% 40% 41% 38% 38% 38% 38% 39% 42%

Somewhat important

- - - - - - - - - - 311 - - - 322 165 157 140 78 67 37 120 87 87- - - - - - - - - - 16% - - - 16% 18% 15% 24% 15% 15% 9% 20% 15% 13%

STU U U WX


- - - - - - - - - - 233 - - - 212 110 103 93 57 45 17 67 62 68- - - - - - - - - - 12% - - - 11% 12% 10% 16% 11% 10% 4% 11% 11% 10%

sTU U U

Not very important

- - - - - - - - - - 78 - - - 110 55 55 47 21 23 19 53 25 19- - - - - - - - - - 4% - - - 6% 6% 5% 8% 4% 5% 5% 9% 4% 3%

k Su WX


- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Reforms to boost economic and national security by growing manufacturing in the U.S.






- - - - - - - - - - 1651 - - - 1616 761 855 423 408 402 382 483 482 563- - - - - - - - - - 84% - - - 82% 82% 83% 74% 80% 87% 91% 81% 83% 84%

R RS RS


- - - - - - - - - - 806 - - - 843 384 459 179 210 235 220 262 249 279- - - - - - - - - - 41% - - - 43% 41% 45% 31% 41% 51% 53% 44% 43% 42%

R RS RS

Very important

- - - - - - - - - - 845 - - - 773 377 397 244 199 168 162 221 233 284- - - - - - - - - - 43% - - - 39% 40% 38% 42% 39% 36% 39% 37% 40% 42%

o

Somewhat important

- - - - - - - - - - 310 - - - 347 172 175 152 100 60 36 116 98 105- - - - - - - - - - 16% - - - 18% 18% 17% 26% 20% 13% 9% 19% 17% 16%

STU TU


- - - - - - - - - - 230 - - - 216 105 112 92 70 39 16 64 68 72- - - - - - - - - - 12% - - - 11% 11% 11% 16% 14% 8% 4% 11% 12% 11%

TU TU U

Not very important

- - - - - - - - - - 79 - - - 131 67 64 60 30 21 20 52 31 33- - - - - - - - - - 4% - - - 7% 7% 6% 10% 6% 4% 5% 9% 5% 5%

K STU WX


- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Congressional actions to ensure that employees are able to go into work confident that proper health precautions are being implemented






- - - - - - - - - - 1682 - - - 1624 745 879 427 441 389 367 489 481 566- - - - - - - - - - 86% - - - 83% 80% 85% 74% 87% 84% 88% 82% 83% 85%

O P R R R


- - - - - - - - - - 968 - - - 966 424 542 218 257 249 242 294 298 319- - - - - - - - - - 49% - - - 49% 45% 53% 38% 51% 54% 58% 49% 51% 48%

P R R Rs

Very important

- - - - - - - - - - 714 - - - 657 321 337 208 184 140 125 195 184 247- - - - - - - - - - 36% - - - 33% 34% 33% 36% 36% 30% 30% 33% 32% 37%

Somewhat important

- - - - - - - - - - 279 - - - 339 188 152 148 68 73 50 111 99 102- - - - - - - - - - 14% - - - 17% 20% 15% 26% 13% 16% 12% 18% 17% 15%

K Q STU


- - - - - - - - - - 199 - - - 197 114 83 87 41 43 26 59 70 60- - - - - - - - - - 10% - - - 10% 12% 8% 15% 8% 9% 6% 10% 12% 9%

Q STU

Not very important

- - - - - - - - - - 81 - - - 142 74 69 61 27 30 24 52 30 42- - - - - - - - - - 4% - - - 7% 8% 7% 11% 5% 7% 6% 9% 5% 6%

K StU W


- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Providing essential businesses who have followed health guidance to protect their employees from the pandemic, safeguards from litigation that may hinder their ability to recover.






- - - - - - - - - - 1649 - - - 1680 794 886 466 443 401 371 495 507 586- - - - - - - - - - 84% - - - 86% 85% 86% 81% 87% 87% 89% 83% 87% 88%

R r R V V


- - - - - - - - - - 898 - - - 884 404 480 206 235 224 218 263 285 289- - - - - - - - - - 46% - - - 45% 43% 47% 36% 46% 49% 52% 44% 49% 43%

R R R

Very important

- - - - - - - - - - 751 - - - 796 390 407 259 208 176 153 232 221 298- - - - - - - - - - 38% - - - 41% 42% 39% 45% 41% 38% 37% 39% 38% 45%

tU vw

Somewhat important

- - - - - - - - - - 312 - - - 283 138 144 109 65 62 47 105 74 82- - - - - - - - - - 16% - - - 14% 15% 14% 19% 13% 13% 11% 17% 13% 12%

StU WX


- - - - - - - - - - 228 - - - 164 84 80 68 35 40 21 55 49 51- - - - - - - - - - 12% - - - 8% 9% 8% 12% 7% 9% 5% 9% 9% 8%

O SU u

Not very important

- - - - - - - - - - 84 - - - 119 55 64 41 30 21 26 50 25 31- - - - - - - - - - 4% - - - 6% 6% 6% 7% 6% 5% 6% 8% 4% 5%

k WX


- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 170REV01 Are you planning any major purchases once things return to normal and businesses re-open? Please select all that apply.





- - - 2016 1993 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - 386 533 418 375 549 537 508 486 554 529 582 530 278 252 190 186 88 67 140 169 193- - - 19% 27% 21% 18% 27% 26% 25% 25% 28% 27% 30% 27% 30% 24% 33% 37% 19% 16% 23% 29% 29%

DFG DFG DFG DFG DFG DFGj DFG DFGiJK DFG Q TU TU V v

Buying new clothes

- - - 479 616 567 543 659 679 590 565 728 656 690 527 259 268 143 143 120 121 125 159 215- - - 24% 31% 28% 27% 32% 33% 29% 29% 36% 33% 35% 27% 28% 26% 25% 28% 26% 29% 21% 27% 32%

DGO D d DFGJkO DFGJKO D D DEFGHiJKO DFGJKO DEFGJKO d V V

Going on vacation /travelling

- - - 238 326 289 220 382 435 386 317 361 371 360 336 179 157 130 105 63 37 86 105 133- - - 12% 16% 14% 11% 19% 21% 19% 16% 18% 19% 18% 17% 19% 15% 23% 21% 14% 9% 14% 18% 20%

DG dG DFG DEFGhjKLnO DFG DG DFG DFGk DFG DfG q TU TU u V

Buying gifts for my friends/ family

- - - - - - - - 213 221 331 368 387 413 334 199 134 142 122 44 26 85 93 151- - - - - - - - 10% 11% 17% 18% 20% 21% 17% 21% 13% 25% 24% 10% 6% 14% 16% 23%

DEFGH DEFGH DEFGHIJ DEFGHIJ DEFGHIJko DEFGHIJKO DEFGHIJ Q TU TU VW

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

- - - 338 389 367 339 416 414 396 373 416 448 458 319 175 145 110 107 59 43 100 86 120- - - 17% 19% 18% 17% 20% 20% 19% 19% 21% 23% 23% 16% 19% 14% 19% 21% 13% 10% 17% 15% 18%

dgO DGO DGO o o DfGO DEFGJKO DEFGhiJKO Q TU TU

Buying new householdgoods, furniture orappliances

- - - 219 320 297 286 315 381 388 324 320 374 351 311 186 125 100 112 66 33 87 89 129- - - 11% 16% 15% 14% 15% 19% 19% 17% 16% 19% 18% 16% 20% 12% 17% 22% 14% 8% 15% 15% 19%

D D D D DeFGHlo DeFGHlo D D DeFGHlO DFGh D Q U TU U v

Buying a car

- - - 1020 818 891 928 774 727 769 237 224 293 301 281 176 105 132 99 34 16 64 69 139- - - 51% 41% 44% 46% 38% 36% 37% 12% 11% 15% 15% 14% 19% 10% 23% 19% 7% 4% 11% 12% 21%

EFGHIJKLMNO hIJKLMNO HIJKLMNO EHIJKLMNO KLMNO KLMNO KLMNO KL KL L Q TU TU u VW

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

- - - 237 316 304 234 359 323 301 266 325 306 343 274 172 101 82 98 56 38 68 66 131- - - 12% 16% 15% 12% 18% 16% 15% 14% 16% 16% 17% 14% 18% 10% 14% 19% 12% 9% 11% 11% 20%

DG DG DfGJKO DG DG DGko DG DGJKO g Q U rTU VW

Attending a concert orsporting event

- - - - - - - - - - 224 204 237 282 251 170 81 116 98 28 9 59 56 127- - - - - - - - - - 11% 10% 12% 14% 13% 18% 8% 20% 19% 6% 2% 10% 10% 19%

DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJKLm DEFGHIJL Q TU TU U VW

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

- - - 74 89 54 58 67 126 156 186 161 156 190 201 127 74 90 68 33 10 57 40 100- - - 4% 4% 3% 3% 3% 6% 8% 10% 8% 8% 10% 10% 14% 7% 16% 13% 7% 2% 9% 7% 15%

FG DeFGH DEFGH DEFGHIj DEFGHi DEFGHi DEFGHIj DEFGHIJlm Q TU TU U VW

Buying a house

- - - - - - - - - - 100 112 137 125 96 47 49 43 14 25 14 32 21 41- - - - - - - - - - 5% 6% 7% 6% 5% 5% 5% 8% 3% 5% 3% 5% 4% 6%

DEFGHIJ DEFGHIJ DEFGHIJkO DEFGHIJ DEFGHIJ SU s

Other major purchase

- - - - - - - - - - 661 574 593 608 707 267 440 131 147 204 225 249 218 177- - - - - - - - - - 34% 29% 30% 31% 36% 29% 43% 23% 29% 44% 54% 42% 37% 26%

DEFGHIJLm DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJLMN P r RS RST X X

Not planning a purchase

- - - 2991 3406 3187 2984 3523 3835 3715 4070 4348 4485 4705 4168 2237 1931 1411 1300 819 638 1150 1171 1656- - - 148% 171% 158% 147% 172% 188% 180% 208% 218% 228% 239% 212% 240% 187% 245% 256% 177% 153% 192% 202% 248%

Sigma



19 Jun 2020Table 171REV01 Are you planning any major purchases once things return to normal and businesses re-open? Please select all that apply.

Base: Planning A Major Purchase





- - - 386 533 418 375 549 537 508 486 554 529 582 530 278 252 190 186 88 67 140 169 193- - - 19% 27% 21% 18% 27% 26% 25% 37% 39% 39% 43% 42% 42% 43% 43% 52% 34% 35% 40% 47% 39%

DFG DFG DFG DFG DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJKlm DEFGHIJk t RTU x

Buying new clothes

- - - 479 616 567 543 659 679 590 565 728 656 690 527 259 268 143 143 120 121 125 159 215- - - 24% 31% 28% 27% 32% 33% 29% 43% 51% 48% 51% 42% 39% 45% 32% 40% 46% 63% 36% 44% 44%

DG D d DFGJ DFGJ D DEFGHIJ DEFGHIJKO DEFGHIJkO DEFGHIJKO DEFGHIJ p r R RST V v

Going on vacation /travelling

- - - 238 326 289 220 382 435 386 317 361 371 360 336 179 157 130 105 63 37 86 105 133- - - 12% 16% 14% 11% 19% 21% 19% 24% 25% 27% 26% 27% 27% 27% 29% 29% 24% 19% 24% 29% 27%

DG dG DFG DEFGhj DFG DEFGHJ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ U U

Buying gifts for my friends/ family

- - - - - - - - 213 221 331 368 387 413 334 199 134 142 122 44 26 85 93 151- - - - - - - - 10% 11% 25% 26% 28% 30% 27% 30% 23% 32% 34% 17% 13% 24% 26% 31%

DEFGH DEFGH DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJKLo DEFGHIJ Q TU TU v

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

- - - 338 389 367 339 416 414 396 373 416 448 458 319 175 145 110 107 59 43 100 86 120- - - 17% 19% 18% 17% 20% 20% 19% 29% 29% 33% 34% 25% 26% 25% 25% 30% 23% 22% 28% 24% 24%

dg DG DG DEFGHIJ DEFGHIJo DEFGHIJkO DEFGHIJKLO DEFGHIJ

Buying new householdgoods, furniture orappliances

- - - 219 320 297 286 315 381 388 324 320 374 351 311 186 125 100 112 66 33 87 89 129- - - 11% 16% 15% 14% 15% 19% 19% 25% 23% 27% 26% 25% 28% 21% 23% 31% 26% 17% 25% 24% 26%

D D D D DeFGH DeFGH DEFGHIJ DEFGHIJ DEFGHIJL DEFGHIJ DEFGHIJ Q RU u

Buying a car

- - - 1020 818 891 928 774 727 769 237 224 293 301 281 176 105 132 99 34 16 64 69 139- - - 51% 41% 44% 46% 38% 36% 37% 18% 16% 21% 22% 22% 26% 18% 30% 27% 13% 8% 18% 19% 28%

EFGHIJKLMNO hIJKLMNO HIJKLMNO EHIJKLMNO KLMNO KLMNO KLMNO L kL KL Q TU TU VW

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

- - - 237 316 304 234 359 323 301 266 325 306 343 274 172 101 82 98 56 38 68 66 131- - - 12% 16% 15% 12% 18% 16% 15% 20% 23% 22% 25% 22% 26% 17% 18% 27% 22% 20% 19% 18% 27%

DG DG DfGJ DG DG DEFGIJ DEFGHIJ DEFGHIJ DEFGHIJKo DEFGHIJ Q R VW

Attending a concert orsporting event

- - - - - - - - - - 224 204 237 282 251 170 81 116 98 28 9 59 56 127- - - - - - - - - - 17% 14% 17% 21% 20% 26% 14% 26% 27% 11% 5% 17% 16% 26%

DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJkLm DEFGHIJL Q TU TU u VW

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

- - - 74 89 54 58 67 126 156 186 161 156 190 201 127 74 90 68 33 10 57 40 100- - - 4% 4% 3% 3% 3% 6% 8% 14% 11% 11% 14% 16% 19% 12% 20% 19% 13% 5% 16% 11% 20%

FG DeFGH DEFGH DEFGHIJlm DEFGHIJ DEFGHIJ DEFGHIJl DEFGHIJLM Q TU U U w W

Buying a house

- - - - - - - - - - 100 112 137 125 96 47 49 43 14 25 14 32 21 41- - - - - - - - - - 8% 8% 10% 9% 8% 7% 8% 10% 4% 10% 7% 9% 6% 8%

DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ DEFGHIJ S S

Other major purchase

- - - 2991 3406 3187 2984 3523 3835 3715 3409 3774 3893 4096 3461 1970 1491 1280 1153 615 412 901 953 1480- - - 148% 171% 158% 147% 172% 188% 180% 262% 265% 284% 301% 276% 296% 253% 288% 319% 238% 214% 257% 263% 301%

Sigma



19 Jun 2020Table 172Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Concerned





2050 2019 2023 - 1993 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base2050 2019 2023 -** 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

1730 1705 1845 - 1820 1787 1825 1777 1786 1737 1733 1737 1737 1672 1661 760 901 420 430 427 384 493 494 58484% 84% 91% - 91% 89% 90% 87% 88% 84% 88% 87% 88% 85% 85% 81% 87% 73% 85% 92% 92% 82% 85% 87%

ABFHIJKLMNO ABFHIJKLMNO ABJNO ABHiJLNO aj ABJNO ABJNO abJo ABJNO P R RS RS V

The American economy

1771 1747 1827 - 1800 1778 1779 1734 1746 1674 1643 1690 1628 1641 1588 733 855 418 419 390 362 477 486 53986% 87% 90% - 90% 88% 88% 85% 86% 81% 84% 85% 83% 83% 81% 79% 83% 73% 82% 84% 87% 80% 84% 81%

JkMNO JkMNO ABGHIJKLMNO ABGHIJKLMNO HIJKLMNO HJKLMNO JO JmO jo JO p R R R v

The health of your olderfriends and relatives

1616 1647 1759 - 1743 1677 1681 1698 1699 1620 1597 1619 1568 1560 1547 711 836 408 397 364 378 464 457 54179% 82% 87% - 87% 83% 83% 83% 83% 78% 81% 81% 80% 79% 79% 76% 81% 71% 78% 79% 90% 77% 79% 81%

aJo ABFGHIJKLMNO ABFGHIJKLMNO AJMNO AJmNO AJmNO AJMNO j j P R R RST

The health of the broaderAmerican populace

1330 1336 1523 - 1543 1504 1478 1445 1503 1440 1410 1375 1343 1353 1366 631 735 380 349 308 328 417 409 46665% 66% 75% - 77% 75% 73% 70% 74% 70% 72% 69% 68% 69% 70% 68% 71% 66% 69% 67% 79% 70% 70% 70%

ABHJkLMNO ABGHIJKLMNO ABHJLMNO ABjLMNo AB ABhJLMNO Ab ABmn A a A Ab RST

Your personal health

- - - - 1494 1469 1412 1401 1416 1388 1341 1329 1234 1285 1280 598 682 397 365 308 209 387 368 446- - - - 75% 73% 70% 68% 69% 67% 68% 67% 63% 65% 65% 64% 66% 69% 72% 67% 50% 65% 63% 67%

GHIJKLMNO gHiJKLMNO lMNO Mno MNO M M M U U U

Your personal finances



19 Jun 2020Table 173Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Not At All/Not Very Concerned






- - - - 499 544 617 649 623 679 620 667 731 684 683 334 349 178 143 154 208 212 213 222- - - - 25% 27% 30% 32% 31% 33% 32% 33% 37% 35% 35% 36% 34% 31% 28% 33% 50% 35% 37% 33%

Ef EF Ef EF EF EFg EFGHIJKL EFGhI EFGhI RST


720 683 500 - 450 509 551 605 536 626 551 621 622 616 597 301 296 195 159 154 89 183 172 20235% 34% 25% - 23% 25% 27% 30% 26% 30% 28% 31% 32% 31% 30% 32% 29% 34% 31% 33% 21% 30% 30% 30%

CEFGHIJKLmNO CEFGHIjKo E CEFi E CEFgI cE CEFGI CEFGIk CEFGIk CEFgI U U U


434 372 264 - 250 336 348 352 340 447 364 377 397 409 416 221 195 166 111 98 40 135 124 12721% 18% 13% - 13% 17% 17% 17% 17% 22% 19% 19% 20% 21% 21% 24% 19% 29% 22% 21% 10% 23% 21% 19%

bCEFGHI CE CE CE CE CE BCEFGHIkl CE CE CEFghI CEFGHI bCEFGHI Q STU U U

The health of the broaderAmerican populace

279 272 196 - 193 235 250 316 293 392 318 306 337 328 375 199 175 156 90 73 56 122 94 12914% 13% 10% - 10% 12% 12% 15% 14% 19% 16% 15% 17% 17% 19% 21% 17% 27% 18% 16% 13% 20% 16% 19%CE CE CE CEFG CEF ABCEFGHIkL abCEFG CEFG ABCEFGi ABCEFG ABCEFGHIkL q STU w

The health of your olderfriends and relatives

320 314 178 - 173 226 204 273 253 329 228 259 228 297 302 173 129 155 78 35 34 107 87 8516% 16% 9% - 9% 11% 10% 13% 12% 16% 12% 13% 12% 15% 15% 19% 13% 27% 15% 8% 8% 18% 15% 13%

CEFGhIKlM CEFGIKlM CE CEG CEg CEFGhIKLM CE CEG CE CEFGIKM CEFGIKlM Q STU TU X




19 Jun 2020Table 174Q15_1 How concerned are you about the impact coronavirus (COVID-19) has on the following?







1330 1336 1523 - 1543 1504 1478 1445 1503 1440 1410 1375 1343 1353 1366 631 735 380 349 308 328 417 409 46665% 66% 75% - 77% 75% 73% 70% 74% 70% 72% 69% 68% 69% 70% 68% 71% 66% 69% 67% 79% 70% 70% 70%

ABHJkLMNO ABGHIJKLMNO ABHJLMNO ABjLMNo AB ABhJLMNO Ab ABmn A a A Ab RST


624 660 800 - 862 801 749 762 770 655 640 663 668 684 658 310 348 187 169 149 153 214 197 20530% 33% 40% - 43% 40% 37% 37% 38% 32% 33% 33% 34% 35% 34% 33% 34% 33% 33% 32% 37% 36% 34% 31%

ABJKLMNO ABcfGHIJKLMNO ABJKLMNO ABJKLo ABJKLo ABJKLmO a A

Very concerned

706 676 723 - 681 703 728 683 733 785 770 712 674 669 708 321 387 193 180 159 176 203 212 26234% 33% 36% - 34% 35% 36% 33% 36% 38% 39% 36% 34% 34% 36% 34% 38% 34% 35% 34% 42% 34% 36% 39%

aBEHmN ABcEFgHilMN Rt

Somewhat concerned

720 683 500 - 450 509 551 605 536 626 551 621 622 616 597 301 296 195 159 154 89 183 172 20235% 34% 25% - 23% 25% 27% 30% 26% 30% 28% 31% 32% 31% 30% 32% 29% 34% 31% 33% 21% 30% 30% 30%

CEFGHIJKLmNO CEFGHIjKo E CEFi E CEFgI cE CEFGI CEFGIk CEFGIk CEFgI U U U


535 487 359 - 331 372 383 406 368 442 401 421 418 393 395 195 200 125 101 112 56 112 121 14026% 24% 18% - 17% 18% 19% 20% 18% 21% 20% 21% 21% 20% 20% 21% 19% 22% 20% 24% 13% 19% 21% 21%

CEFGHIJKLMNO CEFGHIKlNO E CEfI cE CEfi CEfI E E U U U

Not very concerned

186 197 141 - 119 137 168 200 168 184 150 200 204 222 202 106 96 69 58 42 33 71 51 629% 10% 7% - 6% 7% 8% 10% 8% 9% 8% 10% 10% 11% 10% 11% 9% 12% 11% 9% 8% 12% 9% 9%

cEF CEFk E CEFk E cEF CEFK CEFgiK aCEFGIJK CEFgiK u


2050 2019 2023 - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The health of your older friends and relatives






1771 1747 1827 - 1800 1778 1779 1734 1746 1674 1643 1690 1628 1641 1588 733 855 418 419 390 362 477 486 53986% 87% 90% - 90% 88% 88% 85% 86% 81% 84% 85% 83% 83% 81% 79% 83% 73% 82% 84% 87% 80% 84% 81%

JkMNO JkMNO ABGHIJKLMNO ABGHIJKLMNO HIJKLMNO HJKLMNO JO JmO jo JO p R R R v


1034 1089 1251 - 1211 1124 1091 1040 1075 953 955 1021 936 908 864 360 504 232 212 212 208 276 264 27150% 54% 62% - 61% 56% 54% 51% 53% 46% 49% 51% 48% 46% 44% 39% 49% 40% 42% 46% 50% 46% 46% 40%

JNO aJKMNO ABFGHIJKLMNO ABFGHIJKLMNO AHJKLMNO aJKMNO JNO JKMNO O JmNO o P Rs

Very concerned

737 658 576 - 588 654 687 694 670 721 688 669 692 733 725 374 351 187 206 178 154 202 222 26936% 33% 28% - 30% 32% 34% 34% 33% 35% 35% 33% 35% 37% 37% 40% 34% 32% 41% 38% 37% 34% 38% 40%

bCEf C C CE CE Ce CE CE CE CE BCEFghIL BCEFIl Q R v

Somewhat concerned

279 272 196 - 193 235 250 316 293 392 318 306 337 328 375 199 175 156 90 73 56 122 94 12914% 13% 10% - 10% 12% 12% 15% 14% 19% 16% 15% 17% 17% 19% 21% 17% 27% 18% 16% 13% 20% 16% 19%CE CE CE CEFG CEF ABCEFGHIkL abCEFG CEFG ABCEFGi ABCEFG ABCEFGHIkL q STU w


183 176 129 - 136 173 167 192 218 269 224 189 233 234 234 123 111 106 46 49 33 68 61 929% 9% 6% - 7% 9% 8% 9% 11% 13% 11% 9% 12% 12% 12% 13% 11% 18% 9% 11% 8% 11% 11% 14%

Ce Ce Ce c CE CEfG ABCEFGHiL ABCEFG CE ABCEFGHl ABCEFGHl ABCEFGHL STU

Not very concerned

96 95 67 - 57 62 84 124 76 123 94 117 104 94 140 76 64 51 43 24 23 55 33 375% 5% 3% - 3% 3% 4% 6% 4% 6% 5% 6% 5% 5% 7% 8% 6% 9% 9% 5% 5% 9% 6% 6%

cEF cEF e CEFGI CEFGI cEF CEFGI CEFi cEF ABCEFGIKmN tu Wx


2050 2019 2023 - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The health of the broader American populace






1616 1647 1759 - 1743 1677 1681 1698 1699 1620 1597 1619 1568 1560 1547 711 836 408 397 364 378 464 457 54179% 82% 87% - 87% 83% 83% 83% 83% 78% 81% 81% 80% 79% 79% 76% 81% 71% 78% 79% 90% 77% 79% 81%

aJo ABFGHIJKLMNO ABFGHIJKLMNO AJMNO AJmNO AJmNO AJMNO j j P R R RST


690 774 998 - 1011 878 808 883 836 762 733 773 755 740 685 307 377 169 185 158 173 208 220 21534% 38% 49% - 51% 44% 40% 43% 41% 37% 37% 39% 38% 38% 35% 33% 37% 29% 36% 34% 41% 35% 38% 32%

Ao ABFGHIJKLMNO ABFGHIJKLMNO ABgJKLMNO AO ABgJKLMNO AJknO a a AO Ao A r Rt

Very concerned

926 872 761 - 733 799 873 816 863 858 865 846 813 819 863 404 458 239 212 206 205 257 237 32645% 43% 38% - 37% 40% 43% 40% 42% 42% 44% 42% 41% 42% 44% 43% 44% 42% 42% 45% 49% 43% 41% 49%

CEFHjmn CEfh CEfh CE CE CEFH CE cE CE CEFH rs vW

Somewhat concerned

434 372 264 - 250 336 348 352 340 447 364 377 397 409 416 221 195 166 111 98 40 135 124 12721% 18% 13% - 13% 17% 17% 17% 17% 22% 19% 19% 20% 21% 21% 24% 19% 29% 22% 21% 10% 23% 21% 19%

bCEFGHI CE CE CE CE CE BCEFGHIkl CE CE CEFghI CEFGHI bCEFGHI Q STU U U


314 252 198 - 176 237 257 219 255 318 255 252 293 303 273 145 128 101 75 73 24 82 83 9115% 12% 10% - 9% 12% 13% 11% 12% 15% 13% 13% 15% 15% 14% 16% 12% 18% 15% 16% 6% 14% 14% 14%

BCEFgHIl CE E CE CE BCEFGHIL CEh CE bCEFHi BCEFGHIL CEH U U U

Not very concerned

120 120 65 - 74 99 91 133 86 129 108 125 103 107 143 76 67 65 36 25 16 53 41 366% 6% 3% - 4% 5% 4% 6% 4% 6% 6% 6% 5% 5% 7% 8% 6% 11% 7% 5% 4% 9% 7% 5%

CEi CEgI C c CEfGI CEGI CE CEGI Ce CE CEFGIkMn sTU u x


2050 2019 2023 - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










1730 1705 1845 - 1820 1787 1825 1777 1786 1737 1733 1737 1737 1672 1661 760 901 420 430 427 384 493 494 58484% 84% 91% - 91% 89% 90% 87% 88% 84% 88% 87% 88% 85% 85% 81% 87% 73% 85% 92% 92% 82% 85% 87%

ABFHIJKLMNO ABFHIJKLMNO ABJNO ABHiJLNO aj ABJNO ABJNO abJo ABJNO P R RS RS V


893 986 1287 - 1251 1184 1139 1170 1106 1053 1140 1069 1084 1002 964 441 524 215 249 262 239 294 292 32044% 49% 64% - 63% 59% 56% 57% 54% 51% 58% 54% 55% 51% 49% 47% 51% 37% 49% 57% 57% 49% 50% 48%

A ABFGHIJKLMNO ABFGHIJKLMNO ABIJLmNO ABJNO ABJlNO ABjnO A ABiJLNO ABO ABJNO A A R Rs RS

Very concerned

836 719 558 - 569 603 685 607 680 684 592 668 653 670 696 319 378 205 181 166 145 199 202 26441% 36% 28% - 29% 30% 34% 30% 33% 33% 30% 33% 33% 34% 35% 34% 37% 36% 36% 36% 35% 33% 35% 40%

BCEFGHIJKLMNO CEFHK CEFHk CEfHk CEfh CEfHk CEfh CEFHK CEFHK v

Somewhat concerned

320 314 178 - 173 226 204 273 253 329 228 259 228 297 302 173 129 155 78 35 34 107 87 8516% 16% 9% - 9% 11% 10% 13% 12% 16% 12% 13% 12% 15% 15% 19% 13% 27% 15% 8% 8% 18% 15% 13%

CEFGhIKlM CEFGIKlM CE CEG CEg CEFGhIKLM CE CEG CE CEFGIKM CEFGIKlM Q STU TU X


225 220 99 - 116 170 132 170 183 221 175 171 160 218 203 113 90 96 54 27 26 66 52 7011% 11% 5% - 6% 8% 7% 8% 9% 11% 9% 9% 8% 11% 10% 12% 9% 17% 11% 6% 6% 11% 9% 11%

CEFGHikLM CEFGHlM CEg c CEg CEG CEfGHlM CEG CEG CE CEFGHikLM CEGhm q STU Tu

Not very concerned

95 94 80 - 57 55 72 103 71 108 53 89 68 80 99 60 39 59 24 7 8 40 35 145% 5% 4% - 3% 3% 4% 5% 3% 5% 3% 4% 3% 4% 5% 6% 4% 10% 5% 2% 2% 7% 6% 2%

EFK EFK fk EFgIKm EFGIKM EFK efk EFgIKm Q STU Tu X X


2050 2019 2023 - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma









- - - - 1993 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - 1494 1469 1412 1401 1416 1388 1341 1329 1234 1285 1280 598 682 397 365 308 209 387 368 446- - - - 75% 73% 70% 68% 69% 67% 68% 67% 63% 65% 65% 64% 66% 69% 72% 67% 50% 65% 63% 67%

GHIJKLMNO gHiJKLMNO lMNO Mno MNO M M M U U U


- - - - 870 772 678 701 700 669 626 615 617 610 599 279 319 197 178 138 87 187 160 209- - - - 44% 38% 33% 34% 34% 32% 32% 31% 31% 31% 30% 30% 31% 34% 35% 30% 21% 31% 28% 31%

FGHIJKLMNO GHIJKLMNO lnO lnO U U U

Very concerned

- - - - 624 697 734 700 716 719 715 714 617 675 681 319 362 200 188 171 122 201 208 238- - - - 31% 35% 36% 34% 35% 35% 36% 36% 31% 34% 35% 34% 35% 35% 37% 37% 29% 33% 36% 36%

em EM EM em EM EM em U u

Somewhat concerned

- - - - 499 544 617 649 623 679 620 667 731 684 683 334 349 178 143 154 208 212 213 222- - - - 25% 27% 30% 32% 31% 33% 32% 33% 37% 35% 35% 36% 34% 31% 28% 33% 50% 35% 37% 33%

Ef EF Ef EF EF EFg EFGHIJKL EFGhI EFGhI RST


- - - - 354 392 405 411 416 446 417 451 453 425 418 188 230 113 94 95 117 118 131 150- - - - 18% 19% 20% 20% 20% 22% 21% 23% 23% 22% 21% 20% 22% 20% 18% 21% 28% 20% 22% 23%

e E E Efg EFgh E E RST

Not very concerned

- - - - 144 152 212 238 207 233 203 216 278 259 265 146 119 65 50 59 91 94 82 72- - - - 7% 8% 10% 12% 10% 11% 10% 11% 14% 13% 13% 16% 12% 11% 10% 13% 22% 16% 14% 11%

EF EF EF EF EF EF EFGhIJKL EFGIKl EFGIjKL Q RST X


- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 179Q18 Which of the following is true for you?





2050 2019 2023 2016 1993 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base2050 2019 2023 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

563 572 712 865 1113 950 897 1055 1036 1032 965 962 959 1023 1032 489 543 274 250 229 279 315 315 35127% 28% 35% 43% 56% 47% 44% 51% 51% 50% 49% 48% 49% 52% 53% 52% 53% 48% 49% 49% 67% 53% 54% 53%

AB ABC ABCDFGHIJKLMn ABCD ABC ABCDFGl ABCDfG ABCDG ABCDG ABCDG ABCDG ABCDFGl ABCDFGLm RST

I fear I could die as aresult of contractingcoronavirus

1487 1447 1311 1151 880 1063 1132 995 1003 1034 996 1034 1006 946 931 444 488 300 259 234 139 284 266 31773% 72% 65% 57% 44% 53% 56% 49% 49% 50% 51% 52% 51% 48% 47% 48% 47% 52% 51% 51% 33% 47% 46% 47%

CDEFGHIJKLMNO CDEFGHIJKLMNO DEFGHIJKLMNO EFHIJKLMNO EHiNO EHIJKLMNO E E E E EhnO Eo e U U U

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 932 1031 575 508 462 418 600 581 669100% 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.


19 Jun 2020Table 180Q21 Which of the following is closest to your view of people’s reaction to the coronavirus (COVID-19) outbreak?





2050 2019 2023 2016 1993 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base2050 2019 2023 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

942 1012 1236 1375 1571 1505 1492 1527 1505 1420 1392 1405 1431 1393 1381 624 758 362 360 327 333 423 424 46746% 50% 61% 68% 79% 75% 74% 75% 74% 69% 71% 70% 73% 71% 70% 67% 74% 63% 71% 71% 80% 71% 73% 70%

A AB ABC ABCDFGHIJKLMNO ABCDJKLNO ABCDJlo ABCDJkLNO ABCDJlno ABC ABC ABC ABCDJ ABC ABC P R R RST

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

1108 1007 787 641 422 508 537 523 534 646 569 591 534 576 582 309 273 213 148 136 85 176 157 20254% 50% 39% 32% 21% 25% 26% 25% 26% 31% 29% 30% 27% 29% 30% 33% 26% 37% 29% 29% 20% 29% 27% 30%

BCDEFGHIJKLMNO CDEFGHIJKLMNO DEFGHIJKLMNO EFGHIM E E E E EFGHIM EFh EFgHi E EFHi EFgHi Q STU U U

The amount of fear isirrational, people areoverreacting

2050 2019 2023 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 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.


19 Jun 2020Table 181Q12 Do you have a positive or negative view when people use Personal Protective Equipment (gloves, face-masks, goggles, etc.) in public spaces?





- - - 2016 - - - - - 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** 2016 -** -** -** -** -** 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - 1098 - - - - - 1398 1343 1329 1391 1319 1336 629 708 338 350 311 337 385 415 477- - - 54% - - - - - 68% 68% 67% 71% 67% 68% 67% 69% 59% 69% 67% 81% 64% 71% 71%

D D D DjLN D D R R RST V V

Positive

- - - 255 - - - - - 284 264 233 212 240 262 143 119 133 74 39 16 84 64 99- - - 13% - - - - - 14% 13% 12% 11% 12% 13% 15% 12% 23% 14% 8% 4% 14% 11% 15%

M m m q STU TU U

Negative

- - - 663 - - - - - 384 354 433 362 410 365 160 204 103 85 112 65 131 102 93- - - 33% - - - - - 19% 18% 22% 18% 21% 19% 17% 20% 18% 17% 24% 16% 22% 18% 14%

JKLMNO JKMO k RSU wX

Neither

- - - 2016 - - - - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - 100% - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 182Q14 How much do you agree or disagree with each of the following?

Summary Of Strongly/Somewhat Agree





- - - 2016 - - 2029 2050 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** 2016 -** -** 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - 1840 - - 1826 1824 1830 1761 1693 1719 1709 1729 1671 779 891 439 427 413 392 494 511 580- - - 91% - - 90% 89% 90% 85% 86% 86% 87% 88% 85% 84% 86% 76% 84% 89% 94% 82% 88% 87%

hJKLMNO JKLMnO JKLO JKLMO jO R Rs RSt V v

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

- - - 1810 - - 1762 1754 1754 1687 1609 1663 1617 1684 1612 749 863 423 415 385 389 486 499 542- - - 90% - - 87% 86% 86% 82% 82% 83% 82% 86% 82% 80% 84% 74% 82% 83% 93% 81% 86% 81%

GHIJKLMNO JKLMO JKMO JKlMO JKMO R R RST Vx

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

- - - 1837 - - 1799 1826 1806 1758 1702 1725 1671 1701 1603 741 862 406 407 400 390 483 498 538- - - 91% - - 89% 89% 89% 85% 87% 86% 85% 86% 82% 79% 84% 71% 80% 86% 93% 81% 86% 80%

GhIJKLMNO JlMnO JkLMNO JlMnO O O O O O p R RS RST Vx

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

- - - 1817 - - 1753 1747 1737 1664 1585 1625 1612 1624 1579 711 869 434 392 378 375 476 488 530- - - 90% - - 86% 85% 85% 81% 81% 81% 82% 83% 80% 76% 84% 75% 77% 82% 90% 79% 84% 79%

GHIJKLMNO JKLMNO JKLMnO JKLMnO P r RST v

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

- - - 1810 - - 1738 1714 1663 1649 1520 1562 1569 1526 1487 688 799 393 392 352 350 441 468 502- - - 90% - - 86% 84% 82% 80% 78% 78% 80% 77% 76% 74% 78% 68% 77% 76% 84% 73% 81% 75%

GHIJKLMNO IJKLMNO JKLMNO KLNO O O R R RST Vx

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


19 Jun 2020Table 183Q14 How much do you agree or disagree with each of the following?

Summary Of Strongly/Somewhat Disagree






- - - 206 - - 291 336 376 418 441 434 396 443 476 244 231 181 117 110 67 159 113 167- - - 10% - - 14% 16% 18% 20% 22% 22% 20% 23% 24% 26% 22% 32% 23% 24% 16% 27% 19% 25%

D D DG DGH DGHI DGHI DGH DGHI DGHIJM STU U U W w

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

- - - 199 - - 276 303 302 402 376 371 353 345 384 222 162 141 116 84 43 123 93 139- - - 10% - - 14% 15% 15% 19% 19% 19% 18% 17% 20% 24% 16% 25% 23% 18% 10% 21% 16% 21%

D D D DGHI DGHI DGHI DGHI DGhi DGHI Q tU U U w

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

- - - 179 - - 230 224 233 308 259 271 294 268 360 192 169 169 101 63 28 116 83 131- - - 9% - - 11% 11% 11% 15% 13% 14% 15% 14% 18% 21% 16% 29% 20% 14% 7% 19% 14% 20%

D d D DGHI Dh DgHi DGHI DgHi DGHIJKLMN q STU TU U W w

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

- - - 206 - - 267 296 285 379 352 333 348 285 351 184 168 152 94 77 29 114 81 127- - - 10% - - 13% 14% 14% 18% 18% 17% 18% 14% 18% 20% 16% 26% 18% 17% 7% 19% 14% 19%

D D D DGHIN DGHIN DGi DGHIN D DGHIN STU U U W w

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

- - - 176 - - 203 226 209 305 268 277 256 240 292 153 139 136 81 49 26 106 70 89- - - 9% - - 10% 11% 10% 15% 14% 14% 13% 12% 15% 16% 14% 24% 16% 11% 6% 18% 12% 13%

d DGHIn DGHI DGHI DGI Dg DGHIN STU tU u Wx

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


19 Jun 2020Table 184Q14_1 How much do you agree or disagree with each of the following?

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






- - - 1837 - - 1799 1826 1806 1758 1702 1725 1671 1701 1603 741 862 406 407 400 390 483 498 538- - - 91% - - 89% 89% 89% 85% 87% 86% 85% 86% 82% 79% 84% 71% 80% 86% 93% 81% 86% 80%

GhIJKLMNO JlMnO JkLMNO JlMnO O O O O O p R RS RST Vx


- - - 1449 - - 1343 1320 1251 1166 1060 1164 1145 1173 1070 464 606 237 244 285 304 317 352 343- - - 72% - - 66% 64% 61% 56% 54% 58% 58% 60% 54% 50% 59% 41% 48% 62% 73% 53% 61% 51%

GHIJKLMNO IJKLMNO JKLMNO JKO Ko Ko KO P r RS RST VX

Strongly agree

- - - 387 - - 455 506 556 593 642 561 526 528 533 277 256 169 164 114 86 167 145 194- - - 19% - - 22% 25% 27% 29% 33% 28% 27% 27% 27% 30% 25% 29% 32% 25% 21% 28% 25% 29%

D D DG DGH DGHIJLMNO DGH DG DG DG q U TU

Somewhat agree

- - - 179 - - 230 224 233 308 259 271 294 268 360 192 169 169 101 63 28 116 83 131- - - 9% - - 11% 11% 11% 15% 13% 14% 15% 14% 18% 21% 16% 29% 20% 14% 7% 19% 14% 20%

D d D DGHI Dh DgHi DGHI DgHi DGHIJKLMN q STU TU U W w


- - - 110 - - 136 122 146 180 173 159 193 172 224 130 95 119 63 32 11 65 52 90- - - 5% - - 7% 6% 7% 9% 9% 8% 10% 9% 11% 14% 9% 21% 12% 7% 3% 11% 9% 13%

d DGH DGH DH DGHI DGH DGHIJKLN Q STU TU U w

Somewhat disagree

- - - 69 - - 95 102 87 128 86 112 100 96 136 62 74 50 38 31 17 52 31 41- - - 3% - - 5% 5% 4% 6% 4% 6% 5% 5% 7% 7% 7% 9% 7% 7% 4% 9% 5% 6%

D DgIk D D d DGHIKmN U u W

Strongly disagree

- - - 2016 - - 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - 1840 - - 1826 1824 1830 1761 1693 1719 1709 1729 1671 779 891 439 427 413 392 494 511 580- - - 91% - - 90% 89% 90% 85% 86% 86% 87% 88% 85% 84% 86% 76% 84% 89% 94% 82% 88% 87%

hJKLMNO JKLMnO JKLO JKLMO jO R Rs RSt V v


- - - 1493 - - 1386 1357 1289 1187 1132 1213 1178 1209 1098 479 619 231 265 287 314 320 344 374- - - 74% - - 68% 66% 63% 57% 58% 61% 60% 61% 56% 51% 60% 40% 52% 62% 75% 53% 59% 56%

GHIJKLMNO IJKLMNO JKLMNO JKmO jO O JkO P R RS RST v

Strongly agree

- - - 347 - - 441 467 541 574 561 506 531 520 573 301 272 207 162 126 78 174 167 205- - - 17% - - 22% 23% 27% 28% 29% 25% 27% 26% 29% 32% 26% 36% 32% 27% 19% 29% 29% 31%

D D DGH DGH DGHl DG DGH DGH DGHL Q TU U U

Somewhat agree

- - - 176 - - 203 226 209 305 268 277 256 240 292 153 139 136 81 49 26 106 70 89- - - 9% - - 10% 11% 10% 15% 14% 14% 13% 12% 15% 16% 14% 24% 16% 11% 6% 18% 12% 13%

d DGHIn DGHI DGHI DGI Dg DGHIN STU tU u Wx


- - - 98 - - 118 129 133 182 158 164 161 154 170 93 76 84 50 26 11 58 46 55- - - 5% - - 6% 6% 7% 9% 8% 8% 8% 8% 9% 10% 7% 15% 10% 6% 3% 10% 8% 8%

d DGHI DGh DGh DGh DG DGHI sTU tU u

Somewhat disagree

- - - 78 - - 84 98 76 123 110 114 95 86 123 60 63 53 32 24 15 48 24 34- - - 4% - - 4% 5% 4% 6% 6% 6% 5% 4% 6% 6% 6% 9% 6% 5% 4% 8% 4% 5%

DGIn DgI DgI DGhIN tU Wx

Strongly disagree

- - - 2016 - - 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - 1810 - - 1762 1754 1754 1687 1609 1663 1617 1684 1612 749 863 423 415 385 389 486 499 542- - - 90% - - 87% 86% 86% 82% 82% 83% 82% 86% 82% 80% 84% 74% 82% 83% 93% 81% 86% 81%

GHIJKLMNO JKLMO JKMO JKlMO JKMO R R RST Vx


- - - 1411 - - 1281 1275 1242 1144 1038 1091 1087 1071 1011 440 571 233 235 255 288 297 332 328- - - 70% - - 63% 62% 61% 55% 53% 55% 55% 54% 51% 47% 55% 41% 46% 55% 69% 49% 57% 49%

GHIJKLMNO JKLMNO JKLMNO JKLMNO o o P RS RST VX

Strongly agree

- - - 399 - - 481 479 512 543 572 573 530 613 601 309 292 190 180 130 100 190 167 213- - - 20% - - 24% 23% 25% 26% 29% 29% 27% 31% 31% 33% 28% 33% 35% 28% 24% 32% 29% 32%

D D D Dh DGHI DGHI DgH DGHIJM DGHIJM q U tU

Somewhat agree

- - - 206 - - 267 296 285 379 352 333 348 285 351 184 168 152 94 77 29 114 81 127- - - 10% - - 13% 14% 14% 18% 18% 17% 18% 14% 18% 20% 16% 26% 18% 17% 7% 19% 14% 19%

D D D DGHIN DGHIN DGi DGHIN D DGHIN STU U U W w


- - - 130 - - 152 179 183 229 223 185 210 191 222 112 111 107 49 53 13 71 52 83- - - 6% - - 8% 9% 9% 11% 11% 9% 11% 10% 11% 12% 11% 19% 10% 12% 3% 12% 9% 12%

D D DGHi DGHil D DG DG DGHIl STU U U

Somewhat disagree

- - - 76 - - 115 117 102 151 128 148 139 94 129 72 57 44 45 24 16 43 30 43- - - 4% - - 6% 6% 5% 7% 7% 7% 7% 5% 7% 8% 6% 8% 9% 5% 4% 7% 5% 6%

D D DghIN Dn DghIN DIN Din U tU

Strongly disagree

- - - 2016 - - 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - 1817 - - 1753 1747 1737 1664 1585 1625 1612 1624 1579 711 869 434 392 378 375 476 488 530- - - 90% - - 86% 85% 85% 81% 81% 81% 82% 83% 80% 76% 84% 75% 77% 82% 90% 79% 84% 79%

GHIJKLMNO JKLMNO JKLMnO JKLMnO P r RST v


- - - 1425 - - 1314 1280 1217 1152 1031 1130 1099 1113 1017 440 577 232 237 257 290 293 334 329- - - 71% - - 65% 62% 60% 56% 53% 57% 56% 57% 52% 47% 56% 40% 47% 56% 69% 49% 57% 49%

GHIJKLMNO IJKLMNO JKLMNO JKmO O KO O kO P r RS RST VX

Strongly agree

- - - 392 - - 440 467 520 512 554 495 513 512 563 271 292 201 155 121 85 183 154 201- - - 19% - - 22% 23% 25% 25% 28% 25% 26% 26% 29% 29% 28% 35% 31% 26% 20% 31% 27% 30%

D DG Dg DGHjl Dg DGh DGh DGHiJL TU U

Somewhat agree

- - - 199 - - 276 303 302 402 376 371 353 345 384 222 162 141 116 84 43 123 93 139- - - 10% - - 14% 15% 15% 19% 19% 19% 18% 17% 20% 24% 16% 25% 23% 18% 10% 21% 16% 21%

D D D DGHI DGHI DGHI DGHI DGhi DGHI Q tU U U w


- - - 129 - - 175 181 199 268 245 224 228 245 223 130 93 87 64 53 19 68 50 90- - - 6% - - 9% 9% 10% 13% 12% 11% 12% 12% 11% 14% 9% 15% 13% 12% 5% 11% 9% 14%

D D D DGHI DGHI DGH DGH DGHI DGH Q U U U W

Somewhat disagree

- - - 70 - - 101 122 103 135 131 147 125 100 161 92 69 54 52 31 24 55 43 49- - - 3% - - 5% 6% 5% 7% 7% 7% 6% 5% 8% 10% 7% 9% 10% 7% 6% 9% 7% 7%

d D D Dg Dgi DGIN D D DGHImN Q u U

Strongly disagree

- - - 2016 - - 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - 1810 - - 1738 1714 1663 1649 1520 1562 1569 1526 1487 688 799 393 392 352 350 441 468 502- - - 90% - - 86% 84% 82% 80% 78% 78% 80% 77% 76% 74% 78% 68% 77% 76% 84% 73% 81% 75%

GHIJKLMNO IJKLMNO JKLMNO KLNO O O R R RST Vx


- - - 1334 - - 1205 1145 1060 1025 879 918 940 861 822 362 460 192 217 202 212 226 270 282- - - 66% - - 59% 56% 52% 50% 45% 46% 48% 44% 42% 39% 45% 33% 43% 44% 51% 38% 46% 42%

GHIJKLMNO hIJKLMNO IJKLMNO KLMNO KlNO O NO P R R Rs V

Strongly agree

- - - 476 - - 534 569 603 624 641 644 629 664 665 326 339 202 174 150 139 215 198 220- - - 24% - - 26% 28% 30% 30% 33% 32% 32% 34% 34% 35% 33% 35% 34% 33% 33% 36% 34% 33%

D Dg DG DGH DGH DGH DGHIj DGHIJ

Somewhat agree

- - - 206 - - 291 336 376 418 441 434 396 443 476 244 231 181 117 110 67 159 113 167- - - 10% - - 14% 16% 18% 20% 22% 22% 20% 23% 24% 26% 22% 32% 23% 24% 16% 27% 19% 25%

D D DG DGH DGHI DGHI DGH DGHI DGHIJM STU U U W w


- - - 135 - - 186 201 246 267 282 278 251 285 295 158 138 120 74 64 38 99 70 109- - - 7% - - 9% 10% 12% 13% 14% 14% 13% 14% 15% 17% 13% 21% 15% 14% 9% 17% 12% 16%

D D DGh DGH DGHi DGH DGH DGHi DGHI q STU U u W w

Somewhat disagree

- - - 71 - - 104 134 130 151 159 156 145 158 180 87 94 62 43 47 30 60 43 58- - - 4% - - 5% 7% 6% 7% 8% 8% 7% 8% 9% 9% 9% 11% 8% 10% 7% 10% 7% 9%

D D D DG DGi DG DG DG DGHIj

Strongly disagree

- - - 2016 - - 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 189FR01 Have you felt any of the following since the stay-home orders have gone into effect?

Summary Of Yes





- - - - 1549 1507 1468 1561 1529 1437 1449 1532 1385 1430 1346 605 741 352 344 334 317 388 421 466- - - - 78% 75% 72% 76% 75% 70% 74% 77% 70% 73% 69% 65% 72% 61% 68% 72% 76% 65% 72% 70%

fGJKMNO JMO O GJMNO JMO JmO GJMNO jO P r R RS V

Appreciative-to be aroundpeople I truly care about

- - - - - - - - - - 1549 1581 1484 1505 1345 610 735 310 356 346 333 408 410 462- - - - - - - - - - 79% 79% 76% 76% 69% 65% 71% 54% 70% 75% 80% 68% 71% 69%

MO MnO O O P R R RS

Thankful - for thesacrifices that theAmerican people havemade for coronavirus

- - - - 1529 1543 1551 1572 1492 1409 1444 1536 1392 1398 1306 561 745 323 329 324 331 386 408 444- - - - 77% 77% 76% 77% 73% 68% 74% 77% 71% 71% 67% 60% 72% 56% 65% 70% 79% 64% 70% 66%

IJkMNO IJkMNO iJMNO IJkMNO JO JO IJkMNO O O P R R RST v

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

- - - - 1076 1044 1118 1133 1124 1098 993 1072 955 981 888 376 511 264 250 197 177 261 265 304- - - - 54% 52% 55% 55% 55% 53% 51% 54% 49% 50% 45% 40% 50% 46% 49% 43% 42% 43% 46% 45%

MNO O fKMNO fKMNO fKMNO MnO O MnO o O P

Cabin fever- bored andsick of being in my home

- - - - 972 967 1049 1057 1026 953 958 983 945 988 844 399 445 275 273 183 113 220 260 328- - - - 49% 48% 52% 52% 50% 46% 49% 49% 48% 50% 43% 43% 43% 48% 54% 40% 27% 37% 45% 49%

O O fJmO fJmO JO O O O JO TU TU U V V

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

- - - - 1068 1027 1006 1038 994 1003 958 1001 888 971 834 402 433 266 231 192 145 260 238 282- - - - 54% 51% 50% 51% 49% 49% 49% 50% 45% 49% 43% 43% 42% 46% 45% 42% 35% 43% 41% 42%

GIJKlMNO MO MO MO mO mO mO MO MO U U

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

- - - - 974 964 991 1026 961 943 903 913 791 876 814 357 456 277 222 180 134 254 227 279- - - - 49% 48% 49% 50% 47% 46% 46% 46% 40% 44% 41% 38% 44% 48% 44% 39% 32% 42% 39% 42%

MNO MnO jMNO JKLMNO MO MO MO MO M P TU U u

Lonely-feeling isolatedfrom my friends/family

- - - - - - - - 506 426 509 435 394 456 455 229 225 128 192 86 49 115 111 209- - - - - - - - 43% 37% 44% 40% 36% 40% 40% 43% 37% 50% 52% 31% 20% 35% 34% 47%

JM JM m q TU TU U VW

Fear- that my kids aremissing out on learning

- - - - 728 723 716 751 705 677 635 678 632 687 619 286 332 279 202 106 32 165 174 241- - - - 37% 36% 35% 37% 35% 33% 32% 34% 32% 35% 32% 31% 32% 48% 40% 23% 8% 28% 30% 36%

JKMO jkmO mO JKMO o STU TU U Vw

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

- - - - 649 650 643 695 666 657 617 603 563 646 596 284 312 251 200 94 51 179 161 213- - - - 33% 32% 32% 34% 33% 32% 31% 30% 29% 33% 30% 30% 30% 44% 39% 20% 12% 30% 28% 32%

M m LMo M m M TU TU U

Annoyed- by lack ofpersonal space and theinability to get away frommy family

- - - - 695 660 703 725 709 696 617 584 577 587 572 271 302 203 185 101 83 158 161 211- - - - 35% 33% 35% 35% 35% 34% 31% 29% 29% 30% 29% 29% 29% 35% 36% 22% 20% 26% 28% 32%

kLMNO lmo kLMNO KLMNO kLMNO LMNO TU TU

Claustrophobic- unable toescape my home



19 Jun 2020Table 190FR01_1 Have you felt any of the following since the stay-home orders have gone into effect?

Cabin fever- bored and sick of being in my home






- - - - 1076 1044 1118 1133 1124 1098 993 1072 955 981 888 376 511 264 250 197 177 261 265 304- - - - 54% 52% 55% 55% 55% 53% 51% 54% 49% 50% 45% 40% 50% 46% 49% 43% 42% 43% 46% 45%

MNO O fKMNO fKMNO fKMNO MnO O MnO o O P

Yes

- - - - 917 969 911 917 915 969 968 924 1010 988 1075 556 519 311 258 265 240 339 316 365- - - - 46% 48% 45% 45% 45% 47% 49% 46% 51% 50% 55% 60% 50% 54% 51% 57% 58% 57% 54% 55%

ghi GHI EGHIJL EGHIjl EFGHIJKLmN Q

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Claustrophobic- unable to escape my home






- - - - 695 660 703 725 709 696 617 584 577 587 572 271 302 203 185 101 83 158 161 211- - - - 35% 33% 35% 35% 35% 34% 31% 29% 29% 30% 29% 29% 29% 35% 36% 22% 20% 26% 28% 32%

kLMNO lmo kLMNO KLMNO kLMNO LMNO TU TU

Yes

- - - - 1298 1353 1326 1325 1330 1371 1344 1412 1388 1382 1391 662 729 372 323 361 334 441 419 457- - - - 65% 67% 65% 65% 65% 66% 69% 71% 71% 70% 71% 71% 71% 65% 64% 78% 80% 74% 72% 68%

egHi EfGHIJ EfGHIJ EGHIJ EfGHIJ RS RS

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - - 972 967 1049 1057 1026 953 958 983 945 988 844 399 445 275 273 183 113 220 260 328- - - - 49% 48% 52% 52% 50% 46% 49% 49% 48% 50% 43% 43% 43% 48% 54% 40% 27% 37% 45% 49%

O O fJmO fJmO JO O O O JO TU TU U V V

Yes

- - - - 1021 1046 980 993 1013 1113 1003 1013 1020 981 1119 533 585 299 235 279 305 380 321 341- - - - 51% 52% 48% 48% 50% 54% 51% 51% 52% 50% 57% 57% 57% 52% 46% 60% 73% 63% 55% 51%

gh GHIN gh EFGHIKLMN RS RST WX

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Appreciative-to be around people I truly care about






- - - - 1549 1507 1468 1561 1529 1437 1449 1532 1385 1430 1346 605 741 352 344 334 317 388 421 466- - - - 78% 75% 72% 76% 75% 70% 74% 77% 70% 73% 69% 65% 72% 61% 68% 72% 76% 65% 72% 70%

fGJKMNO JMO O GJMNO JMO JmO GJMNO jO P r R RS V

Yes

- - - - 444 506 561 489 510 629 512 464 580 539 617 327 290 223 164 129 101 212 160 203- - - - 22% 25% 28% 24% 25% 30% 26% 23% 30% 27% 31% 35% 28% 39% 32% 28% 24% 35% 28% 30%

e EHL EFHIKLn E EFHIkL EHL EFGHIKLN Q sTU U W

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - - 1529 1543 1551 1572 1492 1409 1444 1536 1392 1398 1306 561 745 323 329 324 331 386 408 444- - - - 77% 77% 76% 77% 73% 68% 74% 77% 71% 71% 67% 60% 72% 56% 65% 70% 79% 64% 70% 66%

IJkMNO IJkMNO iJMNO IJkMNO JO JO IJkMNO O O P R R RST v

Yes

- - - - 464 470 478 478 547 657 517 460 573 571 657 371 286 252 179 139 87 214 173 224- - - - 23% 23% 24% 23% 27% 32% 26% 23% 29% 29% 33% 40% 28% 44% 35% 30% 21% 36% 30% 34%

EFgHL EFGHIKL efhl EFGHL EFGHL EFGHIKLMN Q STU U U w

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Lonely-feeling isolated from my friends/family






- - - - 974 964 991 1026 961 943 903 913 791 876 814 357 456 277 222 180 134 254 227 279- - - - 49% 48% 49% 50% 47% 46% 46% 46% 40% 44% 41% 38% 44% 48% 44% 39% 32% 42% 39% 42%

MNO MnO jMNO JKLMNO MO MO MO MO M P TU U u

Yes

- - - - 1019 1049 1038 1024 1078 1124 1058 1083 1174 1093 1149 575 574 297 286 282 284 346 354 390- - - - 51% 52% 51% 50% 53% 54% 54% 54% 60% 56% 59% 62% 56% 52% 56% 61% 68% 58% 61% 58%

gH H H EFGHIJKLN EfGH EFGHIJKL Q R RSt

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - - 728 723 716 751 705 677 635 678 632 687 619 286 332 279 202 106 32 165 174 241- - - - 37% 36% 35% 37% 35% 33% 32% 34% 32% 35% 32% 31% 32% 48% 40% 23% 8% 28% 30% 36%

JKMO jkmO mO JKMO o STU TU U Vw

Yes

- - - - 1265 1290 1313 1299 1334 1389 1326 1318 1333 1282 1344 646 698 296 306 356 386 435 406 427- - - - 63% 64% 65% 63% 65% 67% 68% 66% 68% 65% 68% 69% 68% 52% 60% 77% 92% 72% 70% 64%

EfH EfH EfgH EFGHn R RS RST X x

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - - 1068 1027 1006 1038 994 1003 958 1001 888 971 834 402 433 266 231 192 145 260 238 282- - - - 54% 51% 50% 51% 49% 49% 49% 50% 45% 49% 43% 43% 42% 46% 45% 42% 35% 43% 41% 42%

GIJKlMNO MO MO MO mO mO mO MO MO U U

Yes

- - - - 925 986 1023 1012 1045 1063 1003 995 1077 998 1129 531 598 309 277 270 272 340 343 387- - - - 46% 49% 50% 49% 51% 51% 51% 50% 55% 51% 57% 57% 58% 54% 55% 58% 65% 57% 59% 58%

E E E E e EFGHijkLN E EFGHIJKLN RS

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




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






- - - - 649 650 643 695 666 657 617 603 563 646 596 284 312 251 200 94 51 179 161 213- - - - 33% 32% 32% 34% 33% 32% 31% 30% 29% 33% 30% 30% 30% 44% 39% 20% 12% 30% 28% 32%

M m LMo M m M TU TU U

Yes

- - - - 1344 1363 1386 1355 1373 1409 1344 1393 1402 1323 1367 648 718 324 308 368 367 421 419 456- - - - 67% 68% 68% 66% 67% 68% 69% 70% 71% 67% 70% 70% 70% 56% 61% 80% 88% 70% 72% 68%

H EfHIjN h RS RST

No

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 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




- - - - - - - - 1183 1121 1159 1115 1108 1166 1133 478 655 277 374 257 225 415 381 294Unweighted Base-** -** -** -** -** -** -** -** 1188 1147 1161 1093 1107 1141 1148 531 617 256 368 279 245 328 329 447Weighted Base

- - - - - - - - 506 426 509 435 394 456 455 229 225 128 192 86 49 115 111 209- - - - - - - - 43% 37% 44% 40% 36% 40% 40% 43% 37% 50% 52% 31% 20% 35% 34% 47%

JM JM m q TU TU U VW

Yes

- - - - - - - - 682 722 652 658 713 685 693 301 392 128 176 193 196 213 218 238- - - - - - - - 57% 63% 56% 60% 64% 60% 60% 57% 63% 50% 48% 69% 80% 65% 66% 53%

IK IKn p RS RST X X

No

- - - - - - - - 1188 1147 1161 1093 1107 1141 1148 531 617 256 368 279 245 328 329 447- - - - - - - - 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





- - - - - - - - - - 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** -** -** -** -** -** 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - - - - - - 1549 1581 1484 1505 1345 610 735 310 356 346 333 408 410 462- - - - - - - - - - 79% 79% 76% 76% 69% 65% 71% 54% 70% 75% 80% 68% 71% 69%

MO MnO O O P R R RS

Yes

- - - - - - - - - - 412 415 481 464 618 323 295 265 152 117 84 191 171 207- - - - - - - - - - 21% 21% 24% 24% 31% 35% 29% 46% 30% 25% 20% 32% 29% 31%

KL l KLMN Q STU U

No

- - - - - - - - - - 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 201FR05 How much would you say you miss each of the following during this time of virus-related shutdowns?

Summary Of A Lot/Somewhat





- - - - - 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - 1494 1579 1605 1579 1584 1502 1608 1473 1483 1416 626 790 381 378 345 313 399 441 494- - - - - 74% 78% 78% 77% 77% 77% 81% 75% 75% 72% 67% 77% 66% 74% 75% 75% 67% 76% 74%

FmO FMnO fO O O FgiJKMNO o P R R R V V

Gatherings with friendsand family

- - - - - 1405 1492 1523 1521 1493 1402 1509 1400 1461 1364 638 726 379 358 325 302 365 425 496- - - - - 70% 74% 74% 75% 72% 71% 76% 71% 74% 69% 68% 70% 66% 70% 70% 72% 61% 73% 74%

FO FmO FkmO FjKMO FO r V V

Dining out at arestaurant/bar

- - - - - - - - - - - - - 1327 1289 559 730 368 356 303 263 341 390 482- - - - - - - - - - - - - 67% 66% 60% 71% 64% 70% 66% 63% 57% 67% 72%

P ru V V

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

- - - - - 1341 1381 1399 1394 1445 1298 1376 1254 1316 1211 528 683 354 343 271 242 357 351 437- - - - - 67% 68% 68% 68% 70% 66% 69% 64% 67% 62% 57% 66% 62% 68% 59% 58% 59% 61% 65%

O MO MO MO fKMnO O MO O P TU v

Shopping in stores

- - - - - 1191 1188 1281 1297 1310 1242 1320 1172 1220 1205 550 656 363 336 273 234 311 354 473- - - - - 59% 59% 62% 64% 63% 63% 66% 60% 62% 61% 59% 64% 63% 66% 59% 56% 52% 61% 71%

fG FGM FGm FGm FGhMNO g p u tU V VW

Going to a socialgathering,

- - - - - 983 958 991 1011 990 972 965 980 978 982 453 529 257 300 220 204 272 292 360- - - - - 49% 47% 48% 50% 48% 50% 48% 50% 50% 50% 49% 51% 45% 59% 48% 49% 45% 50% 54%

RTU V

Going to church

- - - - - 916 984 1072 1069 1033 988 1091 971 1011 962 473 490 321 293 200 149 224 287 398- - - - - 46% 49% 52% 52% 50% 50% 55% 49% 51% 49% 51% 48% 56% 58% 43% 36% 37% 49% 60%

Fgo FGo F F FGJKMnO f F f TU TU u V VW

Attending events likeconcerts, theatre andsporting events

- - - - - 893 972 992 993 989 904 977 956 1005 928 442 485 313 304 195 115 236 273 371- - - - - 44% 48% 48% 49% 48% 46% 49% 49% 51% 47% 47% 47% 55% 60% 42% 28% 39% 47% 55%

f F F f F F FKo TU TU U V VW

Going to a movie theatre

- - - - - 910 909 1017 963 955 932 974 898 948 909 536 373 279 265 208 158 232 259 370- - - - - 45% 45% 50% 47% 46% 48% 49% 46% 48% 46% 57% 36% 49% 52% 45% 38% 39% 45% 55%

FGjmo fG g Q U tU u v VW

Watching sports on TV

- - - - - 858 940 894 955 988 933 969 892 916 840 411 429 291 280 148 121 217 249 338- - - - - 43% 46% 44% 47% 48% 48% 49% 45% 47% 43% 44% 42% 51% 55% 32% 29% 36% 43% 51%

fo FhO FHO FHO FHO Fo TU TU V VW

Going to my local coffeeshop

- - - - - 707 737 758 828 815 807 828 765 792 754 415 339 271 248 129 106 143 203 363- - - - - 35% 36% 37% 41% 39% 41% 41% 39% 40% 38% 44% 33% 47% 49% 28% 25% 24% 35% 54%

FGh F FGH FGH f FGh f Q TU TU V VW

Traveling on an airplane

- - - - - 742 802 838 809 829 777 817 767 813 735 390 344 275 253 116 90 173 204 318- - - - - 37% 40% 41% 40% 40% 40% 41% 39% 41% 37% 42% 33% 48% 50% 25% 22% 29% 35% 48%

Fo f Fo FO Q TU TU V VW

Going to the gym/work outclass

- - - - - 621 666 694 683 680 609 602 622 675 663 381 282 260 251 121 31 148 179 308- - - - - 31% 33% 34% 34% 33% 31% 30% 32% 34% 34% 41% 27% 45% 49% 26% 7% 25% 31% 46%

fL l fkL l Q TU TU U V VW

Working from the office

- - - - - 488 538 583 598 611 533 575 581 593 580 308 272 266 197 91 25 140 162 248- - - - - 24% 27% 28% 29% 30% 27% 29% 30% 30% 30% 33% 26% 46% 39% 20% 6% 23% 28% 37%

F F Fg F Fg FG Fg Q STU TU U VW

Going to school oruniversity



19 Jun 2020Table 202FR05 How much would you say you miss each of the following during this time of virus-related shutdowns?

Summary Of Not At All/Not Very






- - - - - 1525 1491 1467 1441 1456 1428 1421 1384 1376 1383 625 758 308 311 371 393 459 419 421- - - - - 76% 73% 72% 71% 70% 73% 71% 70% 70% 70% 67% 74% 54% 61% 80% 94% 77% 72% 63%

HIJLMNO jmNo P R RS RST X X

Going to school oruniversity

- - - - - 1392 1363 1356 1356 1386 1352 1394 1343 1294 1300 552 748 315 258 341 387 452 402 361- - - - - 69% 67% 66% 66% 67% 69% 70% 68% 66% 66% 59% 73% 55% 51% 74% 93% 75% 69% 54%

hn n HiNo P RS RST WX X


- - - - - 1271 1227 1212 1230 1237 1184 1179 1198 1156 1228 542 687 299 255 346 328 427 376 351- - - - - 63% 60% 59% 60% 60% 60% 59% 61% 59% 63% 58% 67% 52% 50% 75% 78% 71% 65% 52%

HjLN hlN P RS RS WX X

Going to the gym/work outclass

- - - - - 1306 1292 1292 1211 1252 1154 1168 1200 1177 1209 517 692 304 261 333 312 457 378 305- - - - - 65% 64% 63% 59% 61% 59% 59% 61% 60% 62% 56% 67% 53% 51% 72% 75% 76% 65% 46%

IJKLmNo IKLN iKLn P RS RS WX X


- - - - - 1155 1089 1156 1084 1078 1028 1027 1073 1053 1123 521 602 284 228 314 297 382 331 330- - - - - 57% 54% 56% 53% 52% 52% 51% 55% 53% 57% 56% 58% 49% 45% 68% 71% 64% 57% 49%

gIJKLN iJKL gIJKLn RS RS WX X

Going to my local coffeeshop

- - - - - 1103 1120 1033 1076 1112 1029 1022 1067 1021 1054 396 657 295 244 255 260 368 322 299- - - - - 55% 55% 50% 53% 54% 52% 51% 54% 52% 54% 43% 64% 51% 48% 55% 62% 61% 55% 45%

Hl HLn h h h P s RSt wX X


- - - - - 1120 1057 1058 1046 1077 1057 1019 1009 964 1035 490 545 261 205 267 303 364 308 298- - - - - 56% 52% 52% 51% 52% 54% 51% 51% 49% 53% 53% 53% 45% 40% 58% 72% 61% 53% 45%

gHIjLMN N n RS RST WX X


- - - - - 1097 1045 978 970 1033 973 905 994 958 1001 460 541 254 215 263 269 376 294 270- - - - - 54% 51% 48% 48% 50% 50% 45% 51% 49% 51% 49% 52% 44% 42% 57% 64% 63% 51% 40%

HIJKLmNo hIL L L L l hiL RS RSt WX X

Attending events likeconcerts, theatre andsporting events

- - - - - 1030 1071 1059 1028 1076 989 1031 985 991 981 479 502 318 208 242 213 328 289 309- - - - - 51% 53% 52% 50% 52% 50% 52% 50% 50% 50% 51% 49% 55% 41% 52% 51% 55% 50% 46%

S S S X

Going to church

- - - - - 822 841 769 742 756 719 676 793 749 758 383 375 212 172 189 184 289 226 196- - - - - 41% 41% 38% 36% 37% 37% 34% 40% 38% 39% 41% 36% 37% 34% 41% 44% 48% 39% 29%

hIJKL HIJKLn l IjkL L L q s rS WX X

Going to a socialgathering,

- - - - - 672 648 651 645 621 663 620 711 653 752 404 348 220 165 191 176 243 229 231- - - - - 33% 32% 32% 32% 30% 34% 31% 36% 33% 38% 43% 34% 38% 32% 41% 42% 41% 39% 35%

j J GHIJL j FGHIJKLN Q S S x

Shopping in stores

- - - - - - - - - - - - - 642 674 373 300 207 152 159 155 259 191 187- - - - - - - - - - - - - 33% 34% 40% 29% 36% 30% 34% 37% 43% 33% 28%

Q s s WX

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

- - - - - 608 537 527 518 573 559 487 565 508 599 294 305 195 150 137 116 235 156 172- - - - - 30% 26% 26% 25% 28% 29% 24% 29% 26% 31% 32% 30% 34% 30% 30% 28% 39% 27% 26%

GHILN l iL hiL GHILN u WX

Dining out at arestaurant/bar

- - - - - 519 450 445 460 483 459 388 492 486 547 307 240 194 130 118 105 200 139 175- - - - - 26% 22% 22% 23% 23% 23% 19% 25% 25% 28% 33% 23% 34% 26% 25% 25% 33% 24% 26%

GHiL l l L L gHL hL GHIJKLn Q STU WX

Gatherings with friendsand family



19 Jun 2020Table 203FR05_1 How much would you say you miss each of the following during this time of virus-related shutdowns?







- - - - - 707 737 758 828 815 807 828 765 792 754 415 339 271 248 129 106 143 203 363- - - - - 35% 36% 37% 41% 39% 41% 41% 39% 40% 38% 44% 33% 47% 49% 28% 25% 24% 35% 54%

FGh F FGH FGH f FGh f Q TU TU V VW

A Lot/Somewhat (Net)

- - - - - 301 308 304 355 356 312 334 372 377 296 155 141 105 109 51 32 46 74 155- - - - - 15% 15% 15% 17% 17% 16% 17% 19% 19% 15% 17% 14% 18% 22% 11% 8% 8% 13% 23%

fh h FGHkO FGHKO TU TU V VW

A lot

- - - - - 406 429 454 473 459 495 494 392 415 457 260 198 166 138 78 74 97 129 208- - - - - 20% 21% 22% 23% 22% 25% 25% 20% 21% 23% 28% 19% 29% 27% 17% 18% 16% 22% 31%

fm FGhjMN FGMN fM Q TU TU V VW

Somewhat

- - - - - 1306 1292 1292 1211 1252 1154 1168 1200 1177 1209 517 692 304 261 333 312 457 378 305- - - - - 65% 64% 63% 59% 61% 59% 59% 61% 60% 62% 56% 67% 53% 51% 72% 75% 76% 65% 46%

IJKLmNo IKLN iKLn P RS RS WX X

Not At All/Not Very (Net)

- - - - - 343 405 352 360 422 375 374 322 339 341 159 182 130 87 76 47 103 106 119- - - - - 17% 20% 17% 18% 20% 19% 19% 16% 17% 17% 17% 18% 23% 17% 16% 11% 17% 18% 18%

fhMno FHiMNO m stU U u

Not very

- - - - - 963 887 940 852 830 779 794 878 838 869 359 510 174 174 257 264 354 272 186- - - - - 48% 44% 46% 42% 40% 40% 40% 45% 43% 44% 38% 49% 30% 34% 56% 63% 59% 47% 28%

GIJKLNo jKL IJKLn JKL JKL P RS RSt WX X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - 893 972 992 993 989 904 977 956 1005 928 442 485 313 304 195 115 236 273 371- - - - - 44% 48% 48% 49% 48% 46% 49% 49% 51% 47% 47% 47% 55% 60% 42% 28% 39% 47% 55%

f F F f F F FKo TU TU U V VW


- - - - - 396 345 423 447 411 379 402 411 410 402 193 209 137 139 82 44 92 104 183- - - - - 20% 17% 21% 22% 20% 19% 20% 21% 21% 20% 21% 20% 24% 27% 18% 11% 15% 18% 27%

g G G g G G G G tU TU U VW

A lot

- - - - - 496 627 569 546 578 525 575 546 595 525 249 276 176 164 114 71 144 169 188- - - - - 25% 31% 28% 27% 28% 27% 29% 28% 30% 27% 27% 27% 31% 32% 25% 17% 24% 29% 28%

FhIjKmO f f F f Fiko tU TU U v

Somewhat

- - - - - 1120 1057 1058 1046 1077 1057 1019 1009 964 1035 490 545 261 205 267 303 364 308 298- - - - - 56% 52% 52% 51% 52% 54% 51% 51% 49% 53% 53% 53% 45% 40% 58% 72% 61% 53% 45%

gHIjLMN N n RS RST WX X


- - - - - 358 361 350 364 375 383 379 333 325 352 188 164 136 72 79 65 94 110 134- - - - - 18% 18% 17% 18% 18% 20% 19% 17% 17% 18% 20% 16% 24% 14% 17% 16% 16% 19% 20%

n q STU

Not very

- - - - - 762 696 707 682 703 674 640 675 639 684 302 381 125 133 188 237 269 198 164- - - - - 38% 34% 35% 33% 34% 34% 32% 34% 32% 35% 32% 37% 22% 26% 41% 57% 45% 34% 24%

ghIJkLmN p RS RST WX X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Shopping in stores






- - - - - 1341 1381 1399 1394 1445 1298 1376 1254 1316 1211 528 683 354 343 271 242 357 351 437- - - - - 67% 68% 68% 68% 70% 66% 69% 64% 67% 62% 57% 66% 62% 68% 59% 58% 59% 61% 65%

O MO MO MO fKMnO O MO O P TU v


- - - - - 625 577 557 558 576 497 577 512 551 480 184 296 151 141 113 75 129 130 188- - - - - 31% 28% 27% 27% 28% 25% 29% 26% 28% 24% 20% 29% 26% 28% 24% 18% 21% 22% 28%

HIjKMnO kO o o kO O P U U u Vw

A lot

- - - - - 716 804 842 836 869 801 799 742 764 731 344 387 203 202 159 166 228 221 250- - - - - 36% 40% 41% 41% 42% 41% 40% 38% 39% 37% 37% 38% 35% 40% 34% 40% 38% 38% 37%

F FmO Fmo FMnO Fo F f

Somewhat

- - - - - 672 648 651 645 621 663 620 711 653 752 404 348 220 165 191 176 243 229 231- - - - - 33% 32% 32% 32% 30% 34% 31% 36% 33% 38% 43% 34% 38% 32% 41% 42% 41% 39% 35%

j J GHIJL j FGHIJKLN Q S S x


- - - - - 396 365 363 405 362 400 384 427 380 418 232 186 127 92 107 92 119 121 159- - - - - 20% 18% 18% 20% 18% 20% 19% 22% 19% 21% 25% 18% 22% 18% 23% 22% 20% 21% 24%

hj GHJ GHJ Q

Not very

- - - - - 275 283 287 239 259 263 236 284 274 334 172 162 94 73 84 84 124 109 72- - - - - 14% 14% 14% 12% 13% 13% 12% 14% 14% 17% 18% 16% 16% 14% 18% 20% 21% 19% 11%

i il Il FGHIJKLmN s X X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - 621 666 694 683 680 609 602 622 675 663 381 282 260 251 121 31 148 179 308- - - - - 31% 33% 34% 34% 33% 31% 30% 32% 34% 34% 41% 27% 45% 49% 26% 7% 25% 31% 46%

fL l fkL l Q TU TU U V VW


- - - - - 261 246 301 268 266 213 223 253 272 252 146 105 100 102 42 7 47 66 124- - - - - 13% 12% 15% 13% 13% 11% 11% 13% 14% 13% 16% 10% 17% 20% 9% 2% 8% 11% 18%

GKL k KL Q TU TU U v VW

A lot

- - - - - 360 420 393 415 414 395 379 369 404 411 234 177 160 149 79 24 101 113 184- - - - - 18% 21% 19% 20% 20% 20% 19% 19% 20% 21% 25% 17% 28% 29% 17% 6% 17% 19% 28%

f f f Q TU TU U VW

Somewhat

- - - - - 1392 1363 1356 1356 1386 1352 1394 1343 1294 1300 552 748 315 258 341 387 452 402 361- - - - - 69% 67% 66% 66% 67% 69% 70% 68% 66% 66% 59% 73% 55% 51% 74% 93% 75% 69% 54%

hn n HiNo P RS RST WX X


- - - - - 270 296 323 333 325 321 289 380 290 297 152 145 132 64 74 27 74 89 120- - - - - 13% 15% 16% 16% 16% 16% 14% 19% 15% 15% 16% 14% 23% 13% 16% 6% 12% 15% 18%

f F f F FGHiJkLNO STU U U V

Not very

- - - - - 1123 1067 1033 1023 1061 1031 1105 963 1004 1003 400 603 182 193 267 360 378 313 241- - - - - 56% 53% 50% 50% 51% 53% 55% 49% 51% 51% 43% 59% 32% 38% 58% 86% 63% 54% 36%

HIJMNO m m HIJMNO P r RS RST WX X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Attending events like concerts, theatre and sporting events






- - - - - 916 984 1072 1069 1033 988 1091 971 1011 962 473 490 321 293 200 149 224 287 398- - - - - 46% 49% 52% 52% 50% 50% 55% 49% 51% 49% 51% 48% 56% 58% 43% 36% 37% 49% 60%

Fgo FGo F F FGJKMnO f F f TU TU u V VW


- - - - - 430 426 503 473 438 422 467 457 485 442 219 223 148 134 95 66 91 118 202- - - - - 21% 21% 25% 23% 21% 22% 23% 23% 25% 23% 24% 22% 26% 26% 20% 16% 15% 20% 30%

fGJk fGJk U tU V VW

A lot

- - - - - 486 558 569 595 596 566 624 514 526 520 253 267 173 159 105 83 133 169 196- - - - - 24% 27% 28% 29% 29% 29% 31% 26% 27% 27% 27% 26% 30% 31% 23% 20% 22% 29% 29%

f F Fm F F FGhMNO TU TU V V

Somewhat

- - - - - 1097 1045 978 970 1033 973 905 994 958 1001 460 541 254 215 263 269 376 294 270- - - - - 54% 51% 48% 48% 50% 50% 45% 51% 49% 51% 49% 52% 44% 42% 57% 64% 63% 51% 40%

HIJKLmNo hIL L L L l hiL RS RSt WX X


- - - - - 394 357 304 362 375 344 331 324 347 353 178 175 125 86 78 65 96 107 131- - - - - 20% 18% 15% 18% 18% 18% 17% 16% 18% 18% 19% 17% 22% 17% 17% 16% 16% 18% 20%

HlM h H H h h H u

Not very

- - - - - 703 688 674 608 658 629 574 670 612 647 282 365 129 130 185 204 280 186 139- - - - - 35% 34% 33% 30% 32% 32% 29% 34% 31% 33% 30% 35% 23% 25% 40% 49% 47% 32% 21%

ILN IL iL l l IL iL p RS RST WX X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Dining out at a restaurant/bar






- - - - - 1405 1492 1523 1521 1493 1402 1509 1400 1461 1364 638 726 379 358 325 302 365 425 496- - - - - 70% 74% 74% 75% 72% 71% 76% 71% 74% 69% 68% 70% 66% 70% 70% 72% 61% 73% 74%

FO FmO FkmO FjKMO FO r V V


- - - - - 670 708 737 757 785 656 734 696 711 632 286 346 182 188 127 135 155 172 255- - - - - 33% 35% 36% 37% 38% 33% 37% 35% 36% 32% 31% 34% 32% 37% 27% 32% 26% 30% 38%

O FkO FgKO fkO o O T VW

A lot

- - - - - 735 783 786 764 707 746 775 704 750 732 352 380 198 169 198 166 210 253 242- - - - - 37% 39% 38% 37% 34% 38% 39% 36% 38% 37% 38% 37% 34% 33% 43% 40% 35% 44% 36%

J J j j J J RS VX

Somewhat

- - - - - 608 537 527 518 573 559 487 565 508 599 294 305 195 150 137 116 235 156 172- - - - - 30% 26% 26% 25% 28% 29% 24% 29% 26% 31% 32% 30% 34% 30% 30% 28% 39% 27% 26%

GHILN l iL hiL GHILN u WX


- - - - - 287 251 225 261 273 278 260 252 233 291 148 144 107 66 71 47 104 73 100- - - - - 14% 12% 11% 13% 13% 14% 13% 13% 12% 15% 16% 14% 19% 13% 15% 11% 17% 13% 15%

Hn h Hn gHN SU W

Not very

- - - - - 321 286 301 256 300 281 226 313 275 308 147 161 88 85 66 69 130 84 72- - - - - 16% 14% 15% 13% 15% 14% 11% 16% 14% 16% 16% 16% 15% 17% 14% 16% 22% 14% 11%

IL L L L L IL L IL WX

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - 910 909 1017 963 955 932 974 898 948 909 536 373 279 265 208 158 232 259 370- - - - - 45% 45% 50% 47% 46% 48% 49% 46% 48% 46% 57% 36% 49% 52% 45% 38% 39% 45% 55%

FGjmo fG g Q U tU u v VW


- - - - - 481 478 541 502 501 476 537 505 529 483 295 188 125 158 121 80 112 130 214- - - - - 24% 24% 26% 25% 24% 24% 27% 26% 27% 25% 32% 18% 22% 31% 26% 19% 19% 22% 32%

g fG fg Q RU u VW

A lot

- - - - - 429 431 476 461 454 457 437 393 419 427 241 186 154 107 87 78 119 129 156- - - - - 21% 21% 23% 23% 22% 23% 22% 20% 21% 22% 26% 18% 27% 21% 19% 19% 20% 22% 23%

m m Q sTU

Somewhat

- - - - - 1103 1120 1033 1076 1112 1029 1022 1067 1021 1054 396 657 295 244 255 260 368 322 299- - - - - 55% 55% 50% 53% 54% 52% 51% 54% 52% 54% 43% 64% 51% 48% 55% 62% 61% 55% 45%

Hl HLn h h h P s RSt wX X


- - - - - 314 287 250 322 327 292 280 305 292 336 174 162 124 89 59 64 97 113 111- - - - - 16% 14% 12% 16% 16% 15% 14% 16% 15% 17% 19% 16% 22% 18% 13% 15% 16% 19% 17%

H H H h H H GHL TU

Not very

- - - - - 789 833 783 754 785 736 742 761 729 718 222 496 171 154 196 196 271 209 188- - - - - 39% 41% 38% 37% 38% 38% 37% 39% 37% 37% 24% 48% 30% 30% 42% 47% 45% 36% 28%

IkLNO P RS RS WX X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Gatherings with friends and family






- - - - - 1494 1579 1605 1579 1584 1502 1608 1473 1483 1416 626 790 381 378 345 313 399 441 494- - - - - 74% 78% 78% 77% 77% 77% 81% 75% 75% 72% 67% 77% 66% 74% 75% 75% 67% 76% 74%

FmO FMnO fO O O FgiJKMNO o P R R R V V


- - - - - 833 891 941 899 906 813 925 783 806 737 294 443 201 199 168 170 177 229 276- - - - - 41% 44% 46% 44% 44% 41% 46% 40% 41% 38% 32% 43% 35% 39% 36% 41% 30% 40% 41%

o MO FKMNO MO MO o FKMNO o P V V

A lot

- - - - - 661 688 664 680 677 689 683 690 677 679 331 348 180 179 176 143 222 212 218- - - - - 33% 34% 32% 33% 33% 35% 34% 35% 34% 35% 36% 34% 31% 35% 38% 34% 37% 36% 33%

r

Somewhat

- - - - - 519 450 445 460 483 459 388 492 486 547 307 240 194 130 118 105 200 139 175- - - - - 26% 22% 22% 23% 23% 23% 19% 25% 25% 28% 33% 23% 34% 26% 25% 25% 33% 24% 26%

GHiL l l L L gHL hL GHIJKLn Q STU WX


- - - - - 230 208 204 240 250 248 198 216 251 279 159 120 98 71 52 58 89 77 103- - - - - 11% 10% 10% 12% 12% 13% 10% 11% 13% 14% 17% 12% 17% 14% 11% 14% 15% 13% 15%

hl gHL GHL FGHiLM Q T

Not very

- - - - - 289 242 242 220 233 211 190 277 235 268 148 120 96 59 66 47 111 63 72- - - - - 14% 12% 12% 11% 11% 11% 10% 14% 12% 14% 16% 12% 17% 12% 14% 11% 19% 11% 11%

ghIJKLn L l hIJKL l IjKL Q su WX

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to church






- - - - - 983 958 991 1011 990 972 965 980 978 982 453 529 257 300 220 204 272 292 360- - - - - 49% 47% 48% 50% 48% 50% 48% 50% 50% 50% 49% 51% 45% 59% 48% 49% 45% 50% 54%

RTU V


- - - - - 504 514 527 527 523 518 496 496 525 516 226 290 116 162 125 112 115 164 194- - - - - 25% 25% 26% 26% 25% 26% 25% 25% 27% 26% 24% 28% 20% 32% 27% 27% 19% 28% 29%

R R R V V

A lot

- - - - - 479 444 464 484 467 455 469 484 453 466 227 238 141 138 95 92 157 128 166- - - - - 24% 22% 23% 24% 23% 23% 24% 25% 23% 24% 24% 23% 24% 27% 21% 22% 26% 22% 25%

t

Somewhat

- - - - - 1030 1071 1059 1028 1076 989 1031 985 991 981 479 502 318 208 242 213 328 289 309- - - - - 51% 53% 52% 50% 52% 50% 52% 50% 50% 50% 51% 49% 55% 41% 52% 51% 55% 50% 46%

S S S X


- - - - - 263 294 269 311 321 279 318 252 308 284 155 130 112 66 64 42 78 78 115- - - - - 13% 14% 13% 15% 16% 14% 16% 13% 16% 14% 17% 13% 19% 13% 14% 10% 13% 13% 17%

m fhm FHM fhM Q StU

Not very

- - - - - 767 777 790 718 756 709 713 734 683 697 324 372 206 141 178 171 250 211 193- - - - - 38% 38% 39% 35% 37% 36% 36% 37% 35% 35% 35% 36% 36% 28% 39% 41% 42% 36% 29%

n in iN S S S wX X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to school or university






- - - - - 488 538 583 598 611 533 575 581 593 580 308 272 266 197 91 25 140 162 248- - - - - 24% 27% 28% 29% 30% 27% 29% 30% 30% 30% 33% 26% 46% 39% 20% 6% 23% 28% 37%

F F Fg F Fg FG Fg Q STU TU U VW


- - - - - 233 219 275 267 274 220 263 255 280 261 137 123 128 82 39 12 58 66 117- - - - - 12% 11% 13% 13% 13% 11% 13% 13% 14% 13% 15% 12% 22% 16% 8% 3% 10% 11% 18%

Gk g g g g FGK g STU TU U VW

A lot

- - - - - 255 319 308 331 336 313 312 326 313 319 170 149 138 115 52 14 82 96 130- - - - - 13% 16% 15% 16% 16% 16% 16% 17% 16% 16% 18% 14% 24% 23% 11% 3% 14% 16% 19%

F f F F F F F F F q TU TU U V

Somewhat

- - - - - 1525 1491 1467 1441 1456 1428 1421 1384 1376 1383 625 758 308 311 371 393 459 419 421- - - - - 76% 73% 72% 71% 70% 73% 71% 70% 70% 70% 67% 74% 54% 61% 80% 94% 77% 72% 63%

HIJLMNO jmNo P R RS RST X X


- - - - - 225 277 263 287 278 311 254 261 268 293 151 143 140 57 65 32 86 88 110- - - - - 11% 14% 13% 14% 13% 16% 13% 13% 14% 15% 16% 14% 24% 11% 14% 8% 14% 15% 16%

f F f FHjLm f F STU U

Not very

- - - - - 1300 1214 1205 1154 1178 1117 1167 1124 1107 1090 474 616 168 254 306 361 374 331 311- - - - - 65% 60% 59% 57% 57% 57% 58% 57% 56% 56% 51% 60% 29% 50% 66% 86% 62% 57% 46%

GHIJKLMNO inO o P R RS RST wX X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to the gym/work out class






- - - - - 742 802 838 809 829 777 817 767 813 735 390 344 275 253 116 90 173 204 318- - - - - 37% 40% 41% 40% 40% 40% 41% 39% 41% 37% 42% 33% 48% 50% 25% 22% 29% 35% 48%

Fo f Fo FO Q TU TU V VW


- - - - - 347 352 430 408 415 374 380 380 408 331 178 153 119 109 54 48 74 81 152- - - - - 17% 17% 21% 20% 20% 19% 19% 19% 21% 17% 19% 15% 21% 22% 12% 11% 12% 14% 23%

FGO fgO fgO FGO Q TU TU VW

A lot

- - - - - 395 450 409 400 414 403 437 388 405 404 213 191 156 144 62 42 99 123 166- - - - - 20% 22% 20% 20% 20% 21% 22% 20% 21% 21% 23% 19% 27% 28% 13% 10% 16% 21% 25%

q TU TU v V

Somewhat

- - - - - 1271 1227 1212 1230 1237 1184 1179 1198 1156 1228 542 687 299 255 346 328 427 376 351- - - - - 63% 60% 59% 60% 60% 60% 59% 61% 59% 63% 58% 67% 52% 50% 75% 78% 71% 65% 52%

HjLN hlN P RS RS WX X


- - - - - 294 305 299 359 313 323 344 302 280 302 154 148 111 75 69 48 81 82 127- - - - - 15% 15% 15% 18% 15% 16% 17% 15% 14% 15% 17% 14% 19% 15% 15% 12% 13% 14% 19%

FgHjN fhN U Vw

Not very

- - - - - 977 923 913 872 924 861 836 896 876 926 388 538 189 180 278 279 346 294 224- - - - - 49% 45% 45% 43% 45% 44% 42% 46% 45% 47% 42% 52% 33% 35% 60% 67% 58% 51% 33%

HIjKLN l l IL P RS RS WX X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to a social gathering,






- - - - - 1191 1188 1281 1297 1310 1242 1320 1172 1220 1205 550 656 363 336 273 234 311 354 473- - - - - 59% 59% 62% 64% 63% 63% 66% 60% 62% 61% 59% 64% 63% 66% 59% 56% 52% 61% 71%

fG FGM FGm FGm FGhMNO g p u tU V VW


- - - - - 509 524 544 583 586 505 551 495 524 506 218 288 173 151 101 81 116 138 220- - - - - 25% 26% 27% 29% 28% 26% 28% 25% 27% 26% 23% 28% 30% 30% 22% 19% 19% 24% 33%

fm fm p TU TU v VW

A lot

- - - - - 682 664 737 713 724 737 769 677 696 700 332 368 190 185 172 153 195 217 253- - - - - 34% 33% 36% 35% 35% 38% 39% 34% 35% 36% 36% 36% 33% 36% 37% 37% 33% 37% 38%

g fG FGijMn

Somewhat

- - - - - 822 841 769 742 756 719 676 793 749 758 383 375 212 172 189 184 289 226 196- - - - - 41% 41% 38% 36% 37% 37% 34% 40% 38% 39% 41% 36% 37% 34% 41% 44% 48% 39% 29%

hIJKL HIJKLn l IjkL L L q s rS WX X


- - - - - 356 359 330 343 309 336 318 290 333 310 163 147 96 83 59 73 94 101 98- - - - - 18% 18% 16% 17% 15% 17% 16% 15% 17% 16% 17% 14% 17% 16% 13% 17% 16% 17% 15%

jm jM

Not very

- - - - - 466 483 439 399 447 383 358 503 416 448 220 228 116 89 131 112 195 126 97- - - - - 23% 24% 21% 20% 22% 20% 18% 26% 21% 23% 24% 22% 20% 18% 28% 27% 33% 22% 15%

IKL IKL L L HIJKLN L IkL RS rS WX X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Going to my local coffee shop






- - - - - 858 940 894 955 988 933 969 892 916 840 411 429 291 280 148 121 217 249 338- - - - - 43% 46% 44% 47% 48% 48% 49% 45% 47% 43% 44% 42% 51% 55% 32% 29% 36% 43% 51%

fo FhO FHO FHO FHO Fo TU TU V VW


- - - - - 360 381 376 379 417 357 386 376 349 333 164 169 118 120 57 38 78 96 143- - - - - 18% 19% 18% 19% 20% 18% 19% 19% 18% 17% 18% 16% 21% 24% 12% 9% 13% 17% 21%

O TU TU V

A lot

- - - - - 498 558 518 576 571 576 583 516 568 507 247 259 172 160 91 83 139 153 195- - - - - 25% 28% 25% 28% 28% 29% 29% 26% 29% 26% 27% 25% 30% 31% 20% 20% 23% 26% 29%

Fh f FHmo FHo FHo TU TU v

Somewhat

- - - - - 1155 1089 1156 1084 1078 1028 1027 1073 1053 1123 521 602 284 228 314 297 382 331 330- - - - - 57% 54% 56% 53% 52% 52% 51% 55% 53% 57% 56% 58% 49% 45% 68% 71% 64% 57% 49%

gIJKLN iJKL gIJKLn RS RS WX X


- - - - - 342 350 366 380 351 360 338 366 351 354 185 170 139 80 77 58 107 99 131- - - - - 17% 17% 18% 19% 17% 18% 17% 19% 18% 18% 20% 16% 24% 16% 17% 14% 18% 17% 20%

STU

Not very

- - - - - 813 740 790 704 727 668 688 707 702 769 337 432 145 148 237 239 275 232 200- - - - - 40% 36% 39% 35% 35% 34% 34% 36% 36% 39% 36% 42% 25% 29% 51% 57% 46% 40% 30%

GIJKLMN IjKL IJKLn P RS RS wX X

Not at all

- - - - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - 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)





- - - - - - - - - - - - - 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** -** -** -** -** -** -** -** -** 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - - - - - - - - - 1327 1289 559 730 368 356 303 263 341 390 482- - - - - - - - - - - - - 67% 66% 60% 71% 64% 70% 66% 63% 57% 67% 72%

P ru V V


- - - - - - - - - - - - - 700 625 231 393 175 176 148 126 156 185 233- - - - - - - - - - - - - 36% 32% 25% 38% 30% 35% 32% 30% 26% 32% 35%

O P V V

A lot

- - - - - - - - - - - - - 627 664 328 337 193 180 154 137 185 205 248- - - - - - - - - - - - - 32% 34% 35% 33% 34% 36% 33% 33% 31% 35% 37%

v

Somewhat

- - - - - - - - - - - - - 642 674 373 300 207 152 159 155 259 191 187- - - - - - - - - - - - - 33% 34% 40% 29% 36% 30% 34% 37% 43% 33% 28%

Q s s WX


- - - - - - - - - - - - - 308 284 167 118 120 57 58 49 92 78 102- - - - - - - - - - - - - 16% 14% 18% 11% 21% 11% 12% 12% 15% 13% 15%

Q STU

Not very

- - - - - - - - - - - - - 334 389 207 183 87 95 102 106 166 113 85- - - - - - - - - - - - - 17% 20% 22% 18% 15% 19% 22% 25% 28% 19% 13%

n q R RS WX X

Not at all

- - - - - - - - - - - - - 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 217Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?

Summary Of Concerned





2050 2019 2023 - - 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base2050 2019 2023 -** -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

1608 1618 1780 - - 1763 1727 1727 1691 1631 1548 1598 1541 1563 1484 690 794 410 400 327 348 446 450 51378% 80% 88% - - 88% 85% 84% 83% 79% 79% 80% 78% 79% 76% 74% 77% 71% 79% 71% 83% 74% 78% 77%

o O ABGHIJKLMNO ABgHIJKLMNO ABJKLMNO ABJKLMNO AbJKlMNO O o O O RT RT

Healthcare workers(doctors, nurses,supporting staff)

1540 1554 1740 - - 1644 1593 1563 1517 1472 1408 1412 1396 1395 1380 644 736 413 376 289 302 416 419 47475% 77% 86% - - 82% 79% 76% 74% 71% 72% 71% 71% 71% 70% 69% 71% 72% 74% 63% 72% 69% 72% 71%

JkLMNO JKLMNO ABFGHIJKLMNO ABGHIJKLMNO AIJKLMNO JKLMNO jLmNO T T T

Hospital beds (room forpatients)

1395 1424 1672 - - 1692 1671 1683 1638 1540 1508 1475 1411 1443 1367 628 739 402 374 293 299 420 412 46368% 71% 83% - - 84% 82% 82% 80% 75% 77% 74% 72% 73% 70% 67% 72% 70% 74% 63% 71% 70% 71% 69%

ABJKLMNO ABIJKLMNO ABJKLMNO ABJKLMNO ABJKLMNO ABO ABlMNO AbO A AO p t T T

Surgical masks and gloves

1525 1547 1738 - - 1688 1631 1606 1561 1516 1420 1443 1398 1422 1353 617 735 402 369 284 298 409 403 46574% 77% 86% - - 84% 80% 78% 77% 73% 72% 72% 71% 72% 69% 66% 71% 70% 73% 61% 71% 68% 69% 69%

mO jKLMNO ABGHIJKLMNO ABGHIJKLMNO ABIJKLMNO AJKLMNO jKLMNO O o o o p T T T

Hospital ventilators (forassisted breathing)

1538 1479 1660 - - 1688 1651 1644 1627 1530 1494 1478 1419 1459 1346 621 725 389 365 288 303 401 401 46975% 73% 82% - - 84% 81% 80% 80% 74% 76% 74% 72% 74% 69% 67% 70% 68% 72% 62% 73% 67% 69% 70%O O ABJKLMNO ABgHIJKLMNO ABJKLMNO ABJKLMNO ABJKLMNO O MO O O O T T

Testing kits for COVID-19



19 Jun 2020Table 218Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?







512 540 363 - - 325 378 406 412 536 467 518 546 510 617 312 306 186 144 174 114 199 180 20025% 27% 18% - - 16% 19% 20% 20% 26% 24% 26% 28% 26% 31% 33% 30% 32% 28% 38% 27% 33% 31% 30%

CFGHI CFGHI f F F CFGHI CFGHI CFGHI CFGHIK CFGHI ABCFGHIJKLMN SU


525 472 285 - - 325 398 444 478 550 541 553 567 547 610 315 295 173 139 178 120 191 178 20426% 23% 14% - - 16% 20% 22% 23% 27% 28% 28% 29% 28% 31% 34% 29% 30% 27% 39% 29% 32% 31% 31%

CFGH CFG CF CF CFG bCFGHi BCFGHI BCFGHI aBCFGHI BCFGHI ABCFGHIJkln q RSU

Hospital ventilators (forassisted breathing)

655 595 351 - - 321 358 367 401 526 453 521 554 526 596 305 292 173 134 170 119 180 169 20632% 29% 17% - - 16% 18% 18% 20% 25% 23% 26% 28% 27% 30% 33% 28% 30% 26% 37% 29% 30% 29% 31%

CFGHIJKLMN CFGHIJKl F CFGHI CFGHI CFGHIk CFGHIK CFGHIK CFGHIJKLN q rSU


510 465 283 - - 369 436 487 522 594 553 584 569 574 583 289 294 162 132 173 116 184 162 19425% 23% 14% - - 18% 21% 24% 26% 29% 28% 29% 29% 29% 30% 31% 29% 28% 26% 37% 28% 31% 28% 29%

CFG CF C CF CF CFG ABCFGHi aBCFGH ABCFGHI ABCFGHi ABCFGHI ABCFGHI RSU

Hospital beds (room forpatients)

442 401 243 - - 250 302 323 348 435 413 398 424 406 479 242 237 165 108 136 70 153 130 15522% 20% 12% - - 12% 15% 16% 17% 21% 21% 20% 22% 21% 24% 26% 23% 29% 21% 29% 17% 26% 22% 23%

CFGHI CFGHi Cf CF CF CFGHI CFGHI CFGHi CFGHI CFGHI aBCFGHIJkLN SU SU

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


19 Jun 2020Table 219Q22_1 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcare

system?







1395 1424 1672 - - 1692 1671 1683 1638 1540 1508 1475 1411 1443 1367 628 739 402 374 293 299 420 412 46368% 71% 83% - - 84% 82% 82% 80% 75% 77% 74% 72% 73% 70% 67% 72% 70% 74% 63% 71% 70% 71% 69%

ABJKLMNO ABIJKLMNO ABJKLMNO ABJKLMNO ABJKLMNO ABO ABlMNO AbO A AO p t T T


644 743 1089 - - 1068 1036 1001 1026 880 856 815 773 776 738 314 423 218 209 152 159 230 199 26431% 37% 54% - - 53% 51% 49% 50% 43% 44% 41% 39% 39% 38% 34% 41% 38% 41% 33% 38% 38% 34% 40%

A ABHiJKLMNO ABHJKLMNO ABJKLMNO ABJKLMNO ABJKLMNO ABmnO ABMNO ABo A A A P T

Very concerned

751 682 583 - - 624 635 681 612 660 652 660 638 667 629 313 316 184 165 141 139 189 213 19937% 34% 29% - - 31% 31% 33% 30% 32% 33% 33% 32% 34% 32% 34% 31% 32% 32% 30% 33% 32% 37% 30%

CFGhIJklMO CI Ci c Ci Ci c CI c vx

Somewhat concerned

655 595 351 - - 321 358 367 401 526 453 521 554 526 596 305 292 173 134 170 119 180 169 20632% 29% 17% - - 16% 18% 18% 20% 25% 23% 26% 28% 27% 30% 33% 28% 30% 26% 37% 29% 30% 29% 31%

CFGHIJKLMN CFGHIJKl F CFGHI CFGHI CFGHIk CFGHIK CFGHIK CFGHIJKLN q rSU


393 351 231 - - 215 235 213 258 316 275 327 342 340 345 183 162 109 77 88 71 98 106 12019% 17% 11% - - 11% 12% 10% 13% 15% 14% 16% 17% 17% 18% 20% 16% 19% 15% 19% 17% 16% 18% 18%

CFGHIJKl CFGHIK h CFGHi cFgH CFGHI CFGHIK CFGHIK CFGHIK q

Not very concerned

262 243 120 - - 106 123 155 143 210 178 194 212 186 252 121 130 64 58 82 48 82 63 8613% 12% 6% - - 5% 6% 8% 7% 10% 9% 10% 11% 9% 13% 13% 13% 11% 11% 18% 12% 14% 11% 13%

CFGHIJKLN CFGHIKlN cF f CFGHI CFGi CFGHI CFGHI CFGhI CFGHIJKLN RSU


2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?







1538 1479 1660 - - 1688 1651 1644 1627 1530 1494 1478 1419 1459 1346 621 725 389 365 288 303 401 401 46975% 73% 82% - - 84% 81% 80% 80% 74% 76% 74% 72% 74% 69% 67% 70% 68% 72% 62% 73% 67% 69% 70%O O ABJKLMNO ABgHIJKLMNO ABJKLMNO ABJKLMNO ABJKLMNO O MO O O O T T


834 828 1009 - - 1076 1018 1045 1045 881 900 802 799 788 710 326 384 198 200 154 158 211 197 26641% 41% 50% - - 53% 50% 51% 51% 43% 46% 40% 41% 40% 36% 35% 37% 34% 39% 33% 38% 35% 34% 40%O O ABJkLMNO ABcgJKLMNO ABJKLMNO ABJKLMNO ABJKLMNO O ABLMNO O O O w

Very concerned

704 651 651 - - 612 633 599 581 649 594 675 620 670 636 295 341 191 165 134 146 190 204 20334% 32% 32% - - 30% 31% 29% 29% 31% 30% 34% 32% 34% 32% 32% 33% 33% 32% 29% 35% 32% 35% 30%

FgHIK I I fHIk i fHIk hI

Somewhat concerned

512 540 363 - - 325 378 406 412 536 467 518 546 510 617 312 306 186 144 174 114 199 180 20025% 27% 18% - - 16% 19% 20% 20% 26% 24% 26% 28% 26% 31% 33% 30% 32% 28% 38% 27% 33% 31% 30%

CFGHI CFGHI f F F CFGHI CFGHI CFGHI CFGHIK CFGHI ABCFGHIJKLMN SU


309 343 250 - - 203 242 241 264 345 280 306 314 315 358 172 186 115 80 89 74 109 111 11315% 17% 12% - - 10% 12% 12% 13% 17% 14% 15% 16% 16% 18% 18% 18% 20% 16% 19% 18% 18% 19% 17%

CFGH CFGHIk f F CFGHI Fgh CFGHi CFGHI CFGHI ACFGHIKl

Not very concerned

203 198 113 - - 122 136 164 149 192 187 212 231 196 260 140 120 70 64 85 41 90 69 8710% 10% 6% - - 6% 7% 8% 7% 9% 10% 11% 12% 10% 13% 15% 12% 12% 13% 18% 10% 15% 12% 13%

CFGhI CFGI Cf c CFGi CFGI CFGHI CFGHIJk CFGhI ABCFGHIJKLN q RsU


2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?

Hospital beds (room for patients)






1540 1554 1740 - - 1644 1593 1563 1517 1472 1408 1412 1396 1395 1380 644 736 413 376 289 302 416 419 47475% 77% 86% - - 82% 79% 76% 74% 71% 72% 71% 71% 71% 70% 69% 71% 72% 74% 63% 72% 69% 72% 71%

JkLMNO JKLMNO ABFGHIJKLMNO ABGHIJKLMNO AIJKLMNO JKLMNO jLmNO T T T


766 857 1075 - - 959 882 854 806 742 722 718 711 732 684 305 379 213 183 153 135 214 186 24437% 42% 53% - - 48% 43% 42% 40% 36% 37% 36% 36% 37% 35% 33% 37% 37% 36% 33% 32% 36% 32% 36%

AJKLMNO ABFGHIJKLMNO ABGHIJKLMNO AIJKLMNO AJKLMNO jlmO

Very concerned

774 697 665 - - 685 712 709 711 731 686 695 686 663 696 339 357 200 193 136 167 202 232 23038% 35% 33% - - 34% 35% 35% 35% 35% 35% 35% 35% 34% 35% 36% 35% 35% 38% 29% 40% 34% 40% 34%

CfhN T T V

Somewhat concerned

510 465 283 - - 369 436 487 522 594 553 584 569 574 583 289 294 162 132 173 116 184 162 19425% 23% 14% - - 18% 21% 24% 26% 29% 28% 29% 29% 29% 30% 31% 29% 28% 26% 37% 28% 31% 28% 29%

CFG CF C CF CF CFG ABCFGHi aBCFGH ABCFGHI ABCFGHi ABCFGHI ABCFGHI RSU


301 282 196 - - 255 287 308 342 402 334 349 340 336 338 167 171 100 72 89 76 101 101 11315% 14% 10% - - 13% 14% 15% 17% 19% 17% 17% 17% 17% 17% 18% 17% 17% 14% 19% 18% 17% 17% 17%C C C C Cf bCFg ABCFGHi BCFg aBCFGh aBCFG BCFG aBCFG

Not very concerned

209 183 86 - - 114 148 178 180 192 219 235 228 237 245 122 123 61 60 84 40 83 61 8210% 9% 4% - - 6% 7% 9% 9% 9% 11% 12% 12% 12% 12% 13% 12% 11% 12% 18% 9% 14% 11% 12%

CFG CF Cf CF CF CFg bCFGHi BCFGHIJ BCFGHIj BCFGHIJ aBCFGHIJ RSU


2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?

Hospital ventilators (for assisted breathing)






1525 1547 1738 - - 1688 1631 1606 1561 1516 1420 1443 1398 1422 1353 617 735 402 369 284 298 409 403 46574% 77% 86% - - 84% 80% 78% 77% 73% 72% 72% 71% 72% 69% 66% 71% 70% 73% 61% 71% 68% 69% 69%

mO jKLMNO ABGHIJKLMNO ABGHIJKLMNO ABIJKLMNO AJKLMNO jKLMNO O o o o p T T T


738 842 1151 - - 1047 961 925 922 847 783 777 745 780 700 330 370 218 192 158 133 204 205 25236% 42% 57% - - 52% 47% 45% 45% 41% 40% 39% 38% 40% 36% 35% 36% 38% 38% 34% 32% 34% 35% 38%

AmO ABFGHIJKLMNO ABGHIJKLMNO ABJKLMNO AbJKLMNO AbJKLMNO AO aO o aO

Very concerned

787 705 586 - - 641 670 682 639 670 637 666 653 642 653 288 365 184 177 126 165 205 198 21338% 35% 29% - - 32% 33% 33% 31% 32% 32% 33% 33% 33% 33% 31% 35% 32% 35% 27% 39% 34% 34% 32%

bCFGHIJKLMNO Ci C C c c C C C C p T rT

Somewhat concerned

525 472 285 - - 325 398 444 478 550 541 553 567 547 610 315 295 173 139 178 120 191 178 20426% 23% 14% - - 16% 20% 22% 23% 27% 28% 28% 29% 28% 31% 34% 29% 30% 27% 39% 29% 32% 31% 31%

CFGH CFG CF CF CFG bCFGHi BCFGHI BCFGHI aBCFGHI BCFGHI ABCFGHIJkln q RSU


322 280 189 - - 220 242 259 310 336 316 347 327 319 367 196 171 112 82 93 81 113 119 11316% 14% 9% - - 11% 12% 13% 15% 16% 16% 17% 17% 16% 19% 21% 17% 19% 16% 20% 19% 19% 20% 17%

CFGH CF C C CFGh bCFGH CFGH BCFGH bCFGH CFGH ABCFGHIkn Q

Not very concerned

203 192 96 - - 106 156 185 169 214 225 205 239 229 243 119 124 61 57 86 39 77 59 9110% 9% 5% - - 5% 8% 9% 8% 10% 11% 10% 12% 12% 12% 13% 12% 11% 11% 19% 9% 13% 10% 14%

CFG CF CF CF CF CFGi CFGHI CFGi aBCFGHI bCFGHI ABCFGHIl RSU


2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




system?

Healthcare workers (doctors, nurses, supporting staff)






1608 1618 1780 - - 1763 1727 1727 1691 1631 1548 1598 1541 1563 1484 690 794 410 400 327 348 446 450 51378% 80% 88% - - 88% 85% 84% 83% 79% 79% 80% 78% 79% 76% 74% 77% 71% 79% 71% 83% 74% 78% 77%

o O ABGHIJKLMNO ABgHIJKLMNO ABJKLMNO ABJKLMNO AbJKlMNO O o O O RT RT


863 940 1186 - - 1139 1123 1127 1075 977 936 955 907 932 848 363 484 212 230 195 210 252 259 28942% 47% 59% - - 57% 55% 55% 53% 47% 48% 48% 46% 47% 43% 39% 47% 37% 45% 42% 50% 42% 45% 43%

Ao ABghIJKLMNO ABiJKLMNO ABJKLMNO ABJKLMNO ABJKLMNO AO AO AO A AO P R Rt

Very concerned

745 678 595 - - 623 605 600 616 655 612 643 634 631 636 327 309 198 170 132 138 195 191 22436% 34% 29% - - 31% 30% 29% 30% 32% 31% 32% 32% 32% 32% 35% 30% 34% 33% 28% 33% 32% 33% 33%

CFGHIJKLMNO CGHi h q

Somewhat concerned

442 401 243 - - 250 302 323 348 435 413 398 424 406 479 242 237 165 108 136 70 153 130 15522% 20% 12% - - 12% 15% 16% 17% 21% 21% 20% 22% 21% 24% 26% 23% 29% 21% 29% 17% 26% 22% 23%

CFGHI CFGHi Cf CF CF CFGHI CFGHI CFGHi CFGHI CFGHI aBCFGHIJkLN SU SU


259 235 162 - - 149 189 198 223 264 254 229 254 238 264 140 124 96 63 64 41 77 82 8113% 12% 8% - - 7% 9% 10% 11% 13% 13% 11% 13% 12% 13% 15% 12% 17% 12% 14% 10% 13% 14% 12%

CFGH CFg f F CF CFGH CFGH CFg CFGH CFGH CFGHI U

Not very concerned

183 166 81 - - 102 113 125 125 171 160 168 170 167 214 102 113 69 45 72 29 76 48 749% 8% 4% - - 5% 6% 6% 6% 8% 8% 8% 9% 8% 11% 11% 11% 12% 9% 15% 7% 13% 8% 11%

CFGHI CFGHI c C C CFGHI CFGHi CFGHI CFGHI CFGHI aBCFGHIJKLmN U SU W


2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 224FR11 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?





- - - - - - - 2050 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** -** -** 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - - - 1646 1632 1543 1510 1528 1498 1500 1427 659 768 401 398 308 320 433 439 473- - - - - - - 80% 80% 75% 77% 77% 76% 76% 73% 71% 75% 70% 78% 67% 77% 72% 76% 71%

JKLMNO JkLMNO O O O O RT rT


- - - - - - - 856 808 742 719 706 735 764 683 310 373 200 190 150 142 201 205 233- - - - - - - 42% 40% 36% 37% 35% 37% 39% 35% 33% 36% 35% 37% 32% 34% 33% 35% 35%

JKLMO jLO lO

Very concerned

- - - - - - - 789 823 801 792 822 764 736 744 349 395 201 208 158 178 233 234 240- - - - - - - 39% 40% 39% 40% 41% 39% 37% 38% 37% 38% 35% 41% 34% 42% 39% 40% 36%

no t rT

Somewhat concerned

- - - - - - - 404 407 523 451 468 467 469 536 274 263 174 110 155 98 166 142 196- - - - - - - 20% 20% 25% 23% 23% 24% 24% 27% 29% 25% 30% 22% 33% 23% 28% 24% 29%

HI Hi HI HI HI HIKLMN Su SU


- - - - - - - 281 289 354 327 336 294 331 352 166 186 113 68 103 67 106 94 134- - - - - - - 14% 14% 17% 17% 17% 15% 17% 18% 18% 18% 20% 13% 22% 16% 18% 16% 20%

HI Hi Hi Hi HIM S Su

Not very concerned

- - - - - - - 123 118 169 123 132 173 138 184 108 76 61 42 52 31 60 48 62- - - - - - - 6% 6% 8% 6% 7% 9% 7% 9% 12% 7% 11% 8% 11% 7% 10% 8% 9%

HIk HIKLn HIKLN Q


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 225FR13 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?






- - - - - - - 1423 1388 1323 1317 1344 1261 1321 1286 607 679 408 382 261 236 387 392 440- - - - - - - 69% 68% 64% 67% 67% 64% 67% 66% 65% 66% 71% 75% 56% 56% 64% 68% 66%

JMO JM jm j TU TU


- - - - - - - 701 678 628 600 561 604 645 563 268 295 180 171 115 97 173 159 194- - - - - - - 34% 33% 30% 31% 28% 31% 33% 29% 29% 29% 31% 34% 25% 23% 29% 27% 29%

JkLmO LO LO tU TU

Very concerned

- - - - - - - 721 710 695 716 783 657 677 723 339 384 228 210 146 139 213 233 246- - - - - - - 35% 35% 34% 37% 39% 33% 34% 37% 36% 37% 40% 41% 32% 33% 36% 40% 37%

HIJMN jm Tu TU

Somewhat concerned

- - - - - - - 627 651 744 644 652 704 648 677 325 352 167 127 201 182 213 188 229- - - - - - - 31% 32% 36% 33% 33% 36% 33% 34% 35% 34% 29% 25% 44% 44% 36% 32% 34%

HIln HIl H RS RS


- - - - - - - 401 438 457 413 412 426 408 423 199 224 109 75 123 115 133 115 150- - - - - - - 20% 21% 22% 21% 21% 22% 21% 22% 21% 22% 19% 15% 27% 27% 22% 20% 22%

RS RS

Not very concerned

- - - - - - - 226 213 287 231 240 278 240 254 126 128 57 52 78 67 80 73 79- - - - - - - 11% 10% 14% 12% 12% 14% 12% 13% 14% 12% 10% 10% 17% 16% 13% 13% 12%

HI HIk I RS RS


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 226FR12 When stay-at-home orders are lifted, 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





- - - - - - - 1504 1521 1471 1421 1470 1362 1333 1351 613 738 379 351 317 304 405 394 480- - - - - - - 73% 75% 71% 72% 74% 69% 68% 69% 66% 72% 66% 69% 69% 73% 67% 68% 72%

MNO jMNO n mNo MNO P r

Returning to my normalactivities in public (e.g.,public transit, socializing)

- - - - - - - 1344 1498 1414 1353 1332 1374 1286 1327 622 705 378 357 302 290 369 396 494- - - - - - - 66% 73% 68% 69% 67% 70% 65% 68% 67% 68% 66% 70% 65% 69% 62% 68% 74%

HJKLMNO n hn HlN V Vw

Taking my first flight

- - - - - - - 771 780 689 721 649 698 762 764 362 402 189 288 160 127 206 210 319- - - - - - - 66% 66% 60% 62% 59% 63% 67% 67% 68% 65% 74% 78% 57% 52% 63% 64% 71%

JL JL JkL JkL TU TU Vw

My kids going back toschool for the first time

- - - - - - - 1387 1441 1345 1317 1327 1296 1228 1252 590 662 363 336 272 281 376 369 436- - - - - - - 68% 71% 65% 67% 66% 66% 62% 64% 63% 64% 63% 66% 59% 67% 63% 63% 65%

NO hJkLMNO No N n t T

Leaving my home for thefirst time to go tonon-essential businesses(e.g., bars, hair dressers,etc.)

- - - - - - - 777 767 747 674 612 647 618 699 385 314 255 266 147 31 159 185 326- - - - - - - 63% 65% 61% 61% 57% 60% 57% 63% 64% 61% 66% 70% 53% 46% 59% 57% 68%

LN LmN n n LN TU TU vW

Going back to the office



19 Jun 2020Table 227FR12 When stay-at-home orders are lifted, how concerned are you about the following situations, as it relates to the risk of







- - - - - - - 458 417 474 422 458 429 471 416 217 199 134 114 132 36 109 141 154- - - - - - - 37% 35% 39% 39% 43% 40% 43% 37% 36% 39% 34% 30% 47% 54% 41% 43% 32%

HIO i HIjkO RS RS x X


- - - - - - - 663 598 721 644 669 669 741 711 342 369 211 172 190 137 224 212 233- - - - - - - 32% 29% 35% 33% 34% 34% 38% 36% 37% 36% 37% 34% 41% 33% 37% 37% 35%

i I i I I HIKLm HIk sU

Leaving my home for thefirst time to go tonon-essential businesses(e.g., bars, hair dressers,etc.)

- - - - - - - 402 408 459 441 444 409 379 384 168 215 66 80 119 118 122 118 129- - - - - - - 34% 34% 40% 38% 41% 37% 33% 33% 32% 35% 26% 22% 43% 48% 37% 36% 29%

HINO no HINO RS RS X x

My kids going back toschool for the first time

- - - - - - - 706 541 652 608 664 591 683 636 310 326 197 151 161 128 230 184 175- - - - - - - 34% 27% 32% 31% 33% 30% 35% 32% 33% 32% 34% 30% 35% 31% 38% 32% 26%

IkM I I Im I IjkM I WX x


- - - - - - - 546 518 596 540 526 603 636 612 319 293 196 157 145 114 195 187 189- - - - - - - 27% 25% 29% 28% 26% 31% 32% 31% 34% 28% 34% 31% 31% 27% 33% 32% 28%

i HIkL HIjKL HIkL Q u

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


19 Jun 2020Table 228FR12_1 When stay-at-home orders are lifted, how concerned are you about the following situations, as it relates to the risk of


Leaving my home for the first time to go to non-essential businesses (e.g., bars, hair dressers, etc.)






- - - - - - - 1387 1441 1345 1317 1327 1296 1228 1252 590 662 363 336 272 281 376 369 436- - - - - - - 68% 71% 65% 67% 66% 66% 62% 64% 63% 64% 63% 66% 59% 67% 63% 63% 65%

NO hJkLMNO No N n t T


- - - - - - - 623 674 582 608 538 547 551 561 269 291 164 149 131 116 167 150 209- - - - - - - 30% 33% 28% 31% 27% 28% 28% 29% 29% 28% 28% 29% 28% 28% 28% 26% 31%

l JLMNO Lm

Very concerned

- - - - - - - 764 767 763 708 788 750 676 692 321 371 200 187 141 165 209 218 226- - - - - - - 37% 38% 37% 36% 39% 38% 34% 35% 34% 36% 35% 37% 30% 39% 35% 38% 34%

n kNO n T

Somewhat concerned

- - - - - - - 663 598 721 644 669 669 741 711 342 369 211 172 190 137 224 212 233- - - - - - - 32% 29% 35% 33% 34% 34% 38% 36% 37% 36% 37% 34% 41% 33% 37% 37% 35%

i I i I I HIKLm HIk sU


- - - - - - - 403 369 416 395 401 393 429 406 200 205 140 97 91 77 121 126 143- - - - - - - 20% 18% 20% 20% 20% 20% 22% 21% 22% 20% 24% 19% 20% 19% 20% 22% 21%

I u

Not very concerned

- - - - - - - 260 229 305 250 268 276 313 305 142 163 71 75 99 60 103 86 90- - - - - - - 13% 11% 15% 13% 13% 14% 16% 16% 15% 16% 12% 15% 21% 14% 17% 15% 13%

I i I HIKl HIk RSU


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 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)






- - - - - - - 1504 1521 1471 1421 1470 1362 1333 1351 613 738 379 351 317 304 405 394 480- - - - - - - 73% 75% 71% 72% 74% 69% 68% 69% 66% 72% 66% 69% 69% 73% 67% 68% 72%

MNO jMNO n mNo MNO P r


- - - - - - - 691 701 640 653 633 639 637 618 266 352 169 166 148 136 196 180 199- - - - - - - 34% 34% 31% 33% 32% 33% 32% 32% 29% 34% 29% 33% 32% 32% 33% 31% 30%

j P

Very concerned

- - - - - - - 812 819 831 769 837 722 697 733 347 386 210 185 169 168 208 214 281- - - - - - - 40% 40% 40% 39% 42% 37% 35% 37% 37% 37% 37% 36% 37% 40% 35% 37% 42%

N mN mN n MNO V

Somewhat concerned

- - - - - - - 546 518 596 540 526 603 636 612 319 293 196 157 145 114 195 187 189- - - - - - - 27% 25% 29% 28% 26% 31% 32% 31% 34% 28% 34% 31% 31% 27% 33% 32% 28%

i HIkL HIjKL HIkL Q u


- - - - - - - 331 317 348 330 302 350 377 341 184 158 119 100 59 64 102 120 99- - - - - - - 16% 16% 17% 17% 15% 18% 19% 17% 20% 15% 21% 20% 13% 15% 17% 21% 15%

l HIL Q Tu T X

Not very concerned

- - - - - - - 216 201 248 210 224 254 259 271 135 135 77 57 87 50 93 67 89- - - - - - - 11% 10% 12% 11% 11% 13% 13% 14% 15% 13% 13% 11% 19% 12% 15% 11% 13%

i hI HIk HIKl rSU w


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - 1344 1498 1414 1353 1332 1374 1286 1327 622 705 378 357 302 290 369 396 494- - - - - - - 66% 73% 68% 69% 67% 70% 65% 68% 67% 68% 66% 70% 65% 69% 62% 68% 74%

HJKLMNO n hn HlN V Vw


- - - - - - - 785 883 758 820 776 819 730 791 358 434 206 188 197 201 223 239 284- - - - - - - 38% 43% 37% 42% 39% 42% 37% 40% 38% 42% 36% 37% 43% 48% 37% 41% 42%

HJLN hJN hJN jn r RS

Very concerned

- - - - - - - 559 615 656 533 556 554 556 536 265 271 172 169 105 89 146 157 210- - - - - - - 27% 30% 32% 27% 28% 28% 28% 27% 28% 26% 30% 33% 23% 21% 24% 27% 31%

HKLmnO TU TU V

Somewhat concerned

- - - - - - - 706 541 652 608 664 591 683 636 310 326 197 151 161 128 230 184 175- - - - - - - 34% 27% 32% 31% 33% 30% 35% 32% 33% 32% 34% 30% 35% 31% 38% 32% 26%

IkM I I Im I IjkM I WX x


- - - - - - - 259 250 293 261 286 247 280 249 129 120 93 62 56 37 71 81 82- - - - - - - 13% 12% 14% 13% 14% 13% 14% 13% 14% 12% 16% 12% 12% 9% 12% 14% 12%

U

Not very concerned

- - - - - - - 447 291 359 347 378 345 403 387 181 206 103 89 105 91 159 103 93- - - - - - - 22% 14% 17% 18% 19% 18% 20% 20% 19% 20% 18% 17% 23% 22% 27% 18% 14%

IJKlM I I I I IJkm I WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 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





- - - - - - - 771 780 689 721 649 698 762 764 362 402 189 288 160 127 206 210 319- - - - - - - 66% 66% 60% 62% 59% 63% 67% 67% 68% 65% 74% 78% 57% 52% 63% 64% 71%

JL JL JkL JkL TU TU Vw


- - - - - - - 448 475 385 424 365 392 454 435 210 225 102 168 103 62 110 114 191- - - - - - - 38% 40% 34% 36% 33% 35% 40% 38% 40% 36% 40% 46% 37% 25% 33% 35% 43%

jl JLm JLm jl U tU U Vw

Very concerned

- - - - - - - 323 305 304 297 283 306 307 329 152 177 87 120 56 65 96 97 128- - - - - - - 28% 26% 26% 26% 26% 28% 27% 29% 29% 29% 34% 33% 20% 27% 29% 29% 29%

T T

Somewhat concerned

- - - - - - - 402 408 459 441 444 409 379 384 168 215 66 80 119 118 122 118 129- - - - - - - 34% 34% 40% 38% 41% 37% 33% 33% 32% 35% 26% 22% 43% 48% 37% 36% 29%

HINO no HINO RS RS X x


- - - - - - - 110 167 158 153 141 140 149 134 72 61 46 47 25 17 44 40 45- - - - - - - 9% 14% 14% 13% 13% 13% 13% 12% 14% 10% 18% 13% 9% 7% 14% 12% 10%

H H H H H H TU u

Not very concerned

- - - - - - - 291 241 301 287 303 268 230 250 96 154 21 33 95 101 78 79 83- - - - - - - 25% 20% 26% 25% 28% 24% 20% 22% 18% 25% 8% 9% 34% 41% 24% 24% 19%

IN INO IN INO in P RS RS


- - - - - - - 1173 1188 1147 1161 1093 1107 1141 1148 531 617 256 368 279 245 328 329 447- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma






Base: All Employed Respondents




- - - - - - - 1207 1190 1173 1130 1103 1068 1141 1082 539 543 421 365 233 63 357 389 303Unweighted Base-** -** -** -** -** -** -** 1235 1184 1221 1096 1069 1076 1089 1115 602 513 389 379 279 67* 268 326 480Weighted Base

- - - - - - - 777 767 747 674 612 647 618 699 385 314 255 266 147 31 159 185 326- - - - - - - 63% 65% 61% 61% 57% 60% 57% 63% 64% 61% 66% 70% 53% 46% 59% 57% 68%

LN LmN n n LN TU TU vW


- - - - - - - 341 382 330 312 259 294 306 323 168 155 120 116 79 9 76 90 139- - - - - - - 28% 32% 27% 28% 24% 27% 28% 29% 28% 30% 31% 31% 28% 13% 28% 28% 29%

HJLMn l l L U U U

Very concerned

- - - - - - - 436 386 418 361 352 353 311 375 216 159 135 150 68 22 83 95 186- - - - - - - 35% 33% 34% 33% 33% 33% 29% 34% 36% 31% 35% 39% 24% 33% 31% 29% 39%

N n N n n n N T T vW

Somewhat concerned

- - - - - - - 458 417 474 422 458 429 471 416 217 199 134 114 132 36 109 141 154- - - - - - - 37% 35% 39% 39% 43% 40% 43% 37% 36% 39% 34% 30% 47% 54% 41% 43% 32%

HIO i HIjkO RS RS x X


- - - - - - - 231 221 276 209 224 234 238 217 120 97 81 61 60 14 47 83 79- - - - - - - 19% 19% 23% 19% 21% 22% 22% 19% 20% 19% 21% 16% 21% 22% 17% 25% 16%

hi VX

Not very concerned

- - - - - - - 226 196 198 213 234 195 233 200 97 103 53 53 72 22 62 58 75- - - - - - - 18% 17% 16% 19% 22% 18% 21% 18% 16% 20% 14% 14% 26% 32% 23% 18% 16%

hIJmo IJo RS RS X


- - - - - - - 1235 1184 1221 1096 1069 1076 1089 1115 602 513 389 379 279 67 268 326 480- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 233Q24 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?

Summary Of Trustworthy





2050 2019 2023 2016 1993 2013 2029 - - 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base2050 2019 2023 2016 1993 2013 2029 -** -** 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

1911 1852 1900 1845 1844 1848 1818 - - 1717 1711 1788 1712 1710 1685 787 899 425 446 410 405 495 520 57893% 92% 94% 92% 93% 92% 90% - - 83% 87% 90% 87% 87% 86% 84% 87% 74% 88% 89% 97% 83% 89% 86%

GJKLMNO gJKlMNO BDFGJKLMNO gJKlMNO GJKLMNO gJKlMNO JkmNO J JkmNO J J j R R RST V

Doctors and nurses

- - - - - - 1688 - - 1647 1586 1650 1577 1570 1533 707 827 390 398 379 366 452 468 535- - - - - - 83% - - 80% 81% 83% 80% 80% 78% 76% 80% 68% 78% 82% 88% 75% 81% 80%

JmNO o jnO p R R RSt V

Scientists

- - - - - - 1657 - - 1554 1464 1521 1560 1482 1480 700 781 373 388 373 346 451 449 504- - - - - - 82% - - 75% 75% 76% 79% 75% 75% 75% 76% 65% 76% 81% 83% 75% 77% 75%

JKLNO JKlNO R R Rs

Local countyagencies/healthdepartments

1729 1736 1763 1793 1725 1686 1645 - - 1529 1513 1576 1540 1485 1463 685 777 374 381 359 349 428 448 51684% 86% 87% 89% 87% 84% 81% - - 74% 77% 79% 78% 75% 75% 74% 75% 65% 75% 78% 83% 71% 77% 77%

GJKLMNO GJKLMNO AFGJKLMNO ABeFGJKLMNO FGJKLMNO gJKLMNO JKmNO j JNO JnO R R RSt V v

Medical journals

1435 1444 1475 1478 1516 1542 1497 - - 1511 1499 1485 1484 1477 1455 692 763 361 411 367 316 435 435 49570% 72% 73% 73% 76% 77% 74% - - 73% 76% 74% 76% 75% 74% 74% 74% 63% 81% 79% 76% 73% 75% 74%

a ABcj ABCdgJ A a ABCdj A AB AB A R R R

Friends and family

1817 1791 1843 1804 1689 1727 1668 - - 1526 1496 1521 1483 1485 1440 665 774 366 389 362 322 422 443 49989% 89% 91% 89% 85% 86% 82% - - 74% 76% 76% 75% 75% 73% 71% 75% 64% 77% 78% 77% 70% 76% 75%

EFGJKLMNO EFGJKLMNO ABEFGJKLMNO EFGJKLMNO gJKLMNO GJKLMNO JKLMNO o R R R V

CDC

1547 1549 1641 1639 1523 1566 1551 - - 1392 1353 1384 1393 1329 1315 634 681 329 354 308 325 377 423 44575% 77% 81% 81% 76% 78% 76% - - 67% 69% 69% 71% 68% 67% 68% 66% 57% 70% 67% 78% 63% 73% 67%

JKLMNO JKLMNO ABEFGJKLMNO ABEFGJKLMNO JKLMNO JKLMNO JKLMNO jnO R R RST Vx

My local government

1546 1532 1664 1596 1509 1537 1515 - - 1367 1307 1347 1310 1319 1236 574 663 311 337 300 287 368 393 40675% 76% 82% 79% 76% 76% 75% - - 66% 67% 68% 67% 67% 63% 62% 64% 54% 66% 65% 69% 61% 68% 61%

JKLMNO JKLMNO ABDEFGJKLMNO AbEfGJKLMNO JKLMNO JKLMNO JKLMNO o o O o O R R R Vx

My governor

- - - - - - 1416 - - 1330 1263 1342 1299 1265 1225 552 673 359 365 264 236 358 394 409- - - - - - 70% - - 64% 64% 67% 66% 64% 62% 59% 65% 62% 72% 57% 57% 60% 68% 61%

JKMNO O o P RTU Vx

International healthorganizations (e.g., WorldHealth Organization)

1485 1493 1540 1521 1381 1541 1482 - - 1245 1217 1219 1313 1179 1165 584 580 298 332 259 276 357 358 39872% 74% 76% 75% 69% 77% 73% - - 60% 62% 61% 67% 60% 59% 63% 56% 52% 65% 56% 66% 59% 62% 60%

eJKLMNO EJKLMNO AEgJKLMNO aEJKLMNO JKLNO AEGJKLMNO EJKLMNO JKLNO Q RT RT

Local media

1534 1566 1620 1616 1408 1436 1433 - - 1277 1226 1246 1255 1184 1143 550 593 316 326 262 238 334 353 40075% 78% 80% 80% 71% 71% 71% - - 62% 63% 62% 64% 60% 58% 59% 57% 55% 64% 57% 57% 56% 61% 60%

EfGJKLMNO EFGJKLMNO AEFGJKLMNO AEFGJKLMNO JKLMNO JKLMNO JKLMNO o O O nO Rtu

GovernmentPSA’s/website

1335 1317 1377 1381 1198 1301 1276 - - 1108 1093 1039 1140 1036 1019 492 527 281 312 204 223 305 308 35665% 65% 68% 69% 60% 65% 63% - - 54% 56% 52% 58% 53% 52% 53% 51% 49% 61% 44% 53% 51% 53% 53%

EJKLMNO EJKLMNO EfGJKLMNO abEFGJKLMNO JKLNO EJKLMNO JKLMNO lo JLNO RTU T

National media

1168 1235 1262 1240 1050 1086 1112 - - 1029 998 905 956 932 959 494 465 267 286 221 185 281 272 35057% 61% 62% 62% 53% 54% 55% - - 50% 51% 45% 49% 47% 49% 53% 45% 46% 56% 48% 44% 47% 47% 52%

EJKLMNO AEFGJKLMNO AEFGJKLMNO AEFGJKLMNO LMNo JLMNO JkLMNO L Ln l Q RTU

The WhiteHouse/President

- - - - - - 876 - - 963 925 899 944 927 928 459 469 289 311 242 85 224 274 391- - - - - - 43% - - 47% 47% 45% 48% 47% 47% 49% 46% 50% 61% 52% 20% 37% 47% 59%

g G G G G U RTU U V VW

My employer



19 Jun 2020Table 233Q24 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?

Summary Of Trustworthy





2050 2019 2023 2016 1993 2013 2029 -** -** 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base759 689 753 797 689 812 795 - - 684 639 577 676 681 709 393 316 271 227 113 98 203 184 285

37% 34% 37% 40% 35% 40% 39% - - 33% 33% 29% 34% 35% 36% 42% 31% 47% 45% 24% 23% 34% 32% 43%JKL L JKL BEJKLMNo L aBEJKLMNO BEJKLMN L l L L kL Q TU TU VW

Social media (e.g.,Facebook, Instagram)

- - - - 453 429 445 - - 431 428 396 441 439 423 252 171 185 156 56 27 111 114 179- - - - 23% 21% 22% - - 21% 22% 20% 22% 22% 22% 27% 17% 32% 31% 12% 6% 19% 20% 27%

l Q TU TU U VW

Chinese President, XiJinping



19 Jun 2020Table 234Q24_1 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?

Social media (e.g., Facebook, Instagram)






759 689 753 797 689 812 795 - - 684 639 577 676 681 709 393 316 271 227 113 98 203 184 28537% 34% 37% 40% 35% 40% 39% - - 33% 33% 29% 34% 35% 36% 42% 31% 47% 45% 24% 23% 34% 32% 43%

JKL L JKL BEJKLMNo L aBEJKLMNO BEJKLMN L l L L kL Q TU TU VW

Very/SomewhatTrustworthy (Net)

179 174 174 209 169 217 192 - - 213 164 152 173 197 176 121 54 72 78 19 7 45 30 919% 9% 9% 10% 8% 11% 9% - - 10% 8% 8% 9% 10% 9% 13% 5% 13% 15% 4% 2% 8% 5% 14%

kL abceKL l kL L Q TU TU u VW

Very trustworthy

580 515 579 588 521 595 602 - - 471 475 424 503 485 533 271 262 199 149 94 91 158 154 19428% 26% 29% 29% 26% 30% 30% - - 23% 24% 21% 26% 25% 27% 29% 25% 35% 29% 20% 22% 26% 26% 29%

JKLN L bJKLmN BeJKLmN JL BeJKLMN BEJKLMN l L L JL TU TU

Somewhat trustworthy

1291 1330 1270 1219 1304 1201 1234 - - 1382 1322 1419 1289 1288 1254 540 714 303 281 350 320 397 397 38463% 66% 63% 60% 65% 60% 61% - - 67% 67% 71% 66% 65% 64% 58% 69% 53% 55% 76% 77% 66% 68% 57%

f DFG DFG ACDFG ACDFGo ABCDEFGJkMNO DFG DFG dF P RS RS X X

Not All/Not VeryTrustworthy (Net)

662 751 704 673 751 700 661 - - 722 665 682 666 619 607 238 368 162 156 166 123 192 201 17932% 37% 35% 33% 38% 35% 33% - - 35% 34% 34% 34% 31% 31% 26% 36% 28% 31% 36% 29% 32% 35% 27%

ADGkmNO nO ADGklmNO nO nO o P R X

Not very trustworthy

630 579 566 546 553 501 573 - - 660 657 737 624 669 648 302 346 141 125 184 197 204 195 20431% 29% 28% 27% 28% 25% 28% - - 32% 34% 37% 32% 34% 33% 32% 34% 25% 25% 40% 47% 34% 34% 31%DF F f f bCDEFG BCDEFG ABCDEFGJkMO CDEFg aBCDEFG BCDEFG RS RSt

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




National media






1335 1317 1377 1381 1198 1301 1276 - - 1108 1093 1039 1140 1036 1019 492 527 281 312 204 223 305 308 35665% 65% 68% 69% 60% 65% 63% - - 54% 56% 52% 58% 53% 52% 53% 51% 49% 61% 44% 53% 51% 53% 53%

EJKLMNO EJKLMNO EfGJKLMNO abEFGJKLMNO JKLNO EJKLMNO JKLMNO lo JLNO RTU T


393 368 427 459 355 399 358 - - 310 270 263 304 295 251 151 100 85 84 48 33 60 66 11119% 18% 21% 23% 18% 20% 18% - - 15% 14% 13% 15% 15% 13% 16% 10% 15% 17% 10% 8% 10% 11% 17%

JKLMNO JKLmNO bEGJKLMNO ABEfGJKLMNO jKLnO JKLMNO jKLnO o Q U TU VW

Very trustworthy

942 949 950 922 843 902 919 - - 798 822 776 836 742 768 341 427 195 228 155 190 245 242 24546% 47% 47% 46% 42% 45% 45% - - 39% 42% 39% 43% 38% 39% 37% 41% 34% 45% 34% 45% 41% 42% 37%

eJKLmNO EJKLMNO EJKLMNO eJkLNO jlN JLNO JkLNO jN JlNo p RT RT


715 702 646 635 795 712 753 - - 959 868 957 825 933 944 440 504 294 196 259 195 295 273 31335% 35% 32% 31% 40% 35% 37% - - 46% 44% 48% 42% 47% 48% 47% 49% 51% 39% 56% 47% 49% 47% 47%

d d ABCDF cD CD ABCDEFGM ABCDEFG ABCDEFGkM ABCDFG ABCDEFGM ABCDEFGkM S SU S


441 460 369 388 466 451 467 - - 514 451 514 448 470 521 231 291 192 109 123 98 163 146 18522% 23% 18% 19% 23% 22% 23% - - 25% 23% 26% 23% 24% 27% 25% 28% 33% 21% 27% 23% 27% 25% 28%C CD CD Cd CD ACD CD AbCDFm CD CD ABCDeFGKM StU


274 242 277 247 329 261 286 - - 444 417 442 377 462 423 210 213 102 87 136 97 131 126 12813% 12% 14% 12% 16% 13% 14% - - 21% 21% 22% 19% 23% 22% 22% 21% 18% 17% 29% 23% 22% 22% 19%

ABCDFg ABCDEFG ABCDEFG ABCDEFGm ABCDeFG ABCDEFGM ABCDEFG RS rs

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Local media






1485 1493 1540 1521 1381 1541 1482 - - 1245 1217 1219 1313 1179 1165 584 580 298 332 259 276 357 358 39872% 74% 76% 75% 69% 77% 73% - - 60% 62% 61% 67% 60% 59% 63% 56% 52% 65% 56% 66% 59% 62% 60%

eJKLMNO EJKLMNO AEgJKLMNO aEJKLMNO JKLNO AEGJKLMNO EJKLMNO JKLNO Q RT RT


419 418 440 470 374 432 404 - - 309 306 285 297 277 280 165 115 74 105 62 39 76 67 12520% 21% 22% 23% 19% 21% 20% - - 15% 16% 14% 15% 14% 14% 18% 11% 13% 21% 13% 9% 13% 11% 19%

JKLMNO JKLMNO eJKLMNO aEGJKLMNO JKLMNO eJKLMNO JKLMNO Q RTU VW

Very trustworthy

1066 1075 1100 1051 1008 1109 1078 - - 936 911 934 1016 903 885 420 465 223 228 197 237 280 292 27352% 53% 54% 52% 51% 55% 53% - - 45% 46% 47% 52% 46% 45% 45% 45% 39% 45% 43% 57% 47% 50% 41%

JKLNO JKLNO eJKLNO JKLNO JKlNO EJKLmNO JKLNO JKLNO RST x X


565 526 483 495 612 472 547 - - 821 744 777 652 790 798 348 450 277 176 203 142 243 222 27128% 26% 24% 25% 31% 23% 27% - - 40% 38% 39% 33% 40% 41% 37% 44% 48% 35% 44% 34% 41% 38% 40%

CdF aBCDFG cF ABCDEFGM ABCDEFGM ABCDEFGM ABCDFG ABCDEFGM ABCDEFGM P SU SU


360 355 320 328 415 322 352 - - 488 456 463 378 466 468 212 256 167 106 118 78 145 130 16518% 18% 16% 16% 21% 16% 17% - - 24% 23% 23% 19% 24% 24% 23% 25% 29% 21% 25% 19% 24% 22% 25%

ABCDFG ABCDeFGM ABCDFGM ABCDFGM CdF ABCDeFGM ABCDeFGM SU u


206 171 162 167 197 150 195 - - 333 288 314 274 323 330 136 194 110 70 85 64 98 92 10510% 8% 8% 8% 10% 7% 10% - - 16% 15% 16% 14% 16% 17% 15% 19% 19% 14% 18% 15% 16% 16% 16%cF F F ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFGm ABCDEFGm P s

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Medical journals






1729 1736 1763 1793 1725 1686 1645 - - 1529 1513 1576 1540 1485 1463 685 777 374 381 359 349 428 448 51684% 86% 87% 89% 87% 84% 81% - - 74% 77% 79% 78% 75% 75% 74% 75% 65% 75% 78% 83% 71% 77% 77%

GJKLMNO GJKLMNO AFGJKLMNO ABeFGJKLMNO FGJKLMNO gJKLMNO JKmNO j JNO JnO R R RSt V v


726 743 818 817 761 672 644 - - 580 585 542 590 548 499 240 259 126 154 117 103 131 162 17735% 37% 40% 41% 38% 33% 32% - - 28% 30% 27% 30% 28% 25% 26% 25% 22% 30% 25% 25% 22% 28% 26%

GJKLMNO fGJKLMNO AbFGJKLMNO AbFGJKLMNO FGJKLMNO JkLmNO JLNO O O R V

Very trustworthy

1002 994 945 976 964 1014 1001 - - 949 928 1034 950 936 963 445 518 248 227 243 246 297 286 33949% 49% 47% 48% 48% 50% 49% - - 46% 47% 52% 48% 48% 49% 48% 50% 43% 45% 52% 59% 50% 49% 51%

cJ j CdeJKmN Rs RS


321 283 260 223 268 327 384 - - 537 448 420 425 484 500 247 254 201 128 103 69 172 133 15216% 14% 13% 11% 13% 16% 19% - - 26% 23% 21% 22% 25% 25% 26% 25% 35% 25% 22% 17% 29% 23% 23%

CD D d CDE ABCDEf ABCDEFGkLM ABCDEFG ABCDEF ABCDEFg ABCDEFGLm ABCDEFGLM STU U u Wx


230 211 172 152 199 216 247 - - 325 312 272 261 294 326 166 160 129 86 61 50 107 86 10911% 10% 9% 8% 10% 11% 12% - - 16% 16% 14% 13% 15% 17% 18% 16% 22% 17% 13% 12% 18% 15% 16%

CD D D cD CDe ABCDEFGm ABCDEFGm aBCDEF BCDEf ABCDEFG ABCDEFGLM sTU u


91 72 88 70 69 111 137 - - 212 136 148 164 191 174 81 93 72 41 42 19 64 47 434% 4% 4% 3% 3% 5% 7% - - 10% 7% 7% 8% 10% 9% 9% 9% 13% 8% 9% 5% 11% 8% 6%

BDE ABCDE ABCDEFGKL ABCDE ABCDEF ABCDEF ABCDEFGKL ABCDEFGk sU u U X

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Government PSA’s/website






1534 1566 1620 1616 1408 1436 1433 - - 1277 1226 1246 1255 1184 1143 550 593 316 326 262 238 334 353 40075% 78% 80% 80% 71% 71% 71% - - 62% 63% 62% 64% 60% 58% 59% 57% 55% 64% 57% 57% 56% 61% 60%

EfGJKLMNO EFGJKLMNO AEFGJKLMNO AEFGJKLMNO JKLMNO JKLMNO JKLMNO o O O nO Rtu


502 463 571 550 414 383 378 - - 335 289 278 288 296 319 173 146 97 118 60 44 93 92 12125% 23% 28% 27% 21% 19% 19% - - 16% 15% 14% 15% 15% 16% 19% 14% 17% 23% 13% 11% 15% 16% 18%

EFGJKLMNO FGJKLMNO ABEFGJKLMNO BEFGJKLMNO JKLMNO jKLMNo KLMN Q U RTU

Very trustworthy

1032 1103 1049 1066 994 1053 1055 - - 941 937 968 967 888 824 378 446 219 208 203 194 241 261 27850% 55% 52% 53% 50% 52% 52% - - 46% 48% 49% 49% 45% 42% 41% 43% 38% 41% 44% 46% 40% 45% 42%

JNO AEJKLMNO JKlNO JKLmNO JNO JKlNO JKlNO o O nO jNO R


516 453 403 400 585 577 596 - - 790 735 750 710 785 820 382 438 259 182 200 179 266 228 26925% 22% 20% 20% 29% 29% 29% - - 38% 37% 38% 36% 40% 42% 41% 43% 45% 36% 43% 43% 44% 39% 40%

CD ABCD aBCD ABCD ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFGm ABCDEFGjKLM S s s


360 313 271 272 382 427 369 - - 469 469 488 468 450 483 226 257 148 109 117 109 152 140 16018% 16% 13% 13% 19% 21% 18% - - 23% 24% 24% 24% 23% 25% 24% 25% 26% 22% 25% 26% 25% 24% 24%

CD BCD ABCDg bCD ABCDEG ABCDEG ABCDEfG ABCDEG ABCDEG ABCDEFG


156 140 133 128 203 150 227 - - 321 266 262 242 334 337 156 181 111 72 83 70 114 87 1098% 7% 7% 6% 10% 7% 11% - - 16% 14% 13% 12% 17% 17% 17% 18% 19% 14% 18% 17% 19% 15% 16%

ABCDF ABCDF ABCDEFGlM ABCDEFg ABCDEF ABCDF ABCDEFGKLM ABCDEFGKLM s

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




CDC






1817 1791 1843 1804 1689 1727 1668 - - 1526 1496 1521 1483 1485 1440 665 774 366 389 362 322 422 443 49989% 89% 91% 89% 85% 86% 82% - - 74% 76% 76% 75% 75% 73% 71% 75% 64% 77% 78% 77% 70% 76% 75%

EFGJKLMNO EFGJKLMNO ABEFGJKLMNO EFGJKLMNO gJKLMNO GJKLMNO JKLMNO o R R R V


1021 992 1129 1087 893 845 807 - - 680 671 648 673 643 636 320 316 167 196 150 122 176 187 24050% 49% 56% 54% 45% 42% 40% - - 33% 34% 32% 34% 33% 32% 34% 31% 29% 39% 33% 29% 29% 32% 36%

EFGJKLMNO EFGJKLMNO ABEFGJKLMNO ABEFGJKLMNO GJKLMNO JKLMNO JKLMNO RU v

Very trustworthy

796 799 715 717 796 882 861 - - 845 825 873 810 842 804 346 458 199 193 212 200 247 256 25939% 40% 35% 36% 40% 44% 42% - - 41% 42% 44% 41% 43% 41% 37% 44% 35% 38% 46% 48% 41% 44% 39%cd CD CD ABCDe aCD CD CD ABCDe CD ACD CD P Rs RS


233 228 180 212 304 286 361 - - 541 465 475 482 484 523 267 257 208 119 100 96 178 138 16911% 11% 9% 11% 15% 14% 18% - - 26% 24% 24% 25% 25% 27% 29% 25% 36% 23% 22% 23% 30% 24% 25%C C ABCD ABCD ABCDeF ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFGl STU W


160 169 113 144 220 193 239 - - 325 287 284 292 292 329 169 160 135 70 55 68 110 95 1078% 8% 6% 7% 11% 10% 12% - - 16% 15% 14% 15% 15% 17% 18% 16% 24% 14% 12% 16% 18% 16% 16%C C ABCD CD ABCDf ABCDEFG ABCDEFG ABCDEFg ABCDEFG ABCDEFG ABCDEFGl STU


72 59 66 68 84 93 122 - - 216 178 192 190 192 195 98 97 73 49 45 28 68 43 624% 3% 3% 3% 4% 5% 6% - - 10% 9% 10% 10% 10% 10% 11% 9% 13% 10% 10% 7% 11% 7% 9%

b Bc ABCDE ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFG U W

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Friends and family






1435 1444 1475 1478 1516 1542 1497 - - 1511 1499 1485 1484 1477 1455 692 763 361 411 367 316 435 435 49570% 72% 73% 73% 76% 77% 74% - - 73% 76% 74% 76% 75% 74% 74% 74% 63% 81% 79% 76% 73% 75% 74%

a ABcj ABCdgJ A a ABCdj A AB AB A R R R


454 455 427 475 522 469 439 - - 575 487 495 478 509 513 243 270 148 156 118 91 155 147 18022% 23% 21% 24% 26% 23% 22% - - 28% 25% 25% 24% 26% 26% 26% 26% 26% 31% 25% 22% 26% 25% 27%

ABCfG ABCDFGklM Cg Cg c AbCG ABCG U

Very trustworthy

981 989 1049 1004 994 1073 1057 - - 937 1012 989 1006 968 942 449 493 213 255 250 225 281 288 31548% 49% 52% 50% 50% 53% 52% - - 45% 52% 50% 51% 49% 48% 48% 48% 37% 50% 54% 54% 47% 50% 47%

j AJo J J ABdeJlNO AJO aJo J aJ J R R R


615 575 548 538 477 471 532 - - 555 462 511 481 492 508 240 268 214 97 95 102 164 146 17330% 28% 27% 27% 24% 23% 26% - - 27% 24% 26% 24% 25% 26% 26% 26% 37% 19% 21% 24% 27% 25% 26%

dEFGjKLMNO EFKMN eFK fk f eFk STU


463 445 426 407 359 381 381 - - 369 356 365 357 361 364 167 197 149 59 77 79 114 111 12723% 22% 21% 20% 18% 19% 19% - - 18% 18% 18% 18% 18% 19% 18% 19% 26% 12% 17% 19% 19% 19% 19%

EFGJKLMNO EfGJKLMNO eJklmn STU s S


152 130 122 131 118 90 151 - - 186 106 146 124 130 144 73 71 65 38 18 23 51 34 467% 6% 6% 7% 6% 4% 7% - - 9% 5% 7% 6% 7% 7% 8% 7% 11% 8% 4% 5% 8% 6% 7%

FK F f F FK BCDEFKMN Fk F F Fk sTU t

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Doctors and nurses






1911 1852 1900 1845 1844 1848 1818 - - 1717 1711 1788 1712 1710 1685 787 899 425 446 410 405 495 520 57893% 92% 94% 92% 93% 92% 90% - - 83% 87% 90% 87% 87% 86% 84% 87% 74% 88% 89% 97% 83% 89% 86%

GJKLMNO gJKlMNO BDFGJKLMNO gJKlMNO GJKLMNO gJKlMNO JkmNO J JkmNO J J j R R RST V


1104 1038 1190 1203 1193 1046 1068 - - 978 994 1014 988 972 947 474 473 227 243 246 230 266 287 34854% 51% 59% 60% 60% 52% 53% - - 47% 51% 51% 50% 49% 48% 51% 46% 40% 48% 53% 55% 44% 49% 52%

JmNO J ABFGJKLMNO ABFGJKLMNO ABFGJKLMNO Jo JnO j q R R Rs V

Very trustworthy

806 814 710 642 651 802 750 - - 739 717 773 724 738 739 313 426 197 203 164 175 230 233 23039% 40% 35% 32% 33% 40% 37% - - 36% 37% 39% 37% 37% 38% 34% 41% 34% 40% 35% 42% 38% 40% 34%

CDEj CDEgJkm d CDEJ DE De DE cDE DE DE DE P r


139 167 123 171 149 165 211 - - 349 250 208 253 259 278 146 132 150 62 52 13 104 61 907% 8% 6% 8% 7% 8% 10% - - 17% 13% 10% 13% 13% 14% 16% 13% 26% 12% 11% 3% 17% 11% 14%

C C C AbCdEf ABCDEFGKLMNo ABCDEFgl AbCdEf ABCDEFgl ABCDEFGL ABCDEFGL STU U U W


89 132 82 116 99 109 126 - - 228 180 131 149 161 172 87 84 92 41 27 11 69 35 534% 7% 4% 6% 5% 5% 6% - - 11% 9% 7% 8% 8% 9% 9% 8% 16% 8% 6% 3% 12% 6% 8%

ACe c AC ABCDEFGLMNo ABCDEFGL ACe ACdEF ACDEFG ABCDEFGL STU U u W


50 36 41 55 51 56 86 - - 122 70 77 104 98 106 58 48 58 21 25 2 35 26 372% 2% 2% 3% 3% 3% 4% - - 6% 4% 4% 5% 5% 5% 6% 5% 10% 4% 5% * 6% 5% 6%

b ABCDEF ABCDEFgKL BC ABCe ABCDEFKl ABCDEFk ABCDEFKl STU U U

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




The White House/President






1168 1235 1262 1240 1050 1086 1112 - - 1029 998 905 956 932 959 494 465 267 286 221 185 281 272 35057% 61% 62% 62% 53% 54% 55% - - 50% 51% 45% 49% 47% 49% 53% 45% 46% 56% 48% 44% 47% 47% 52%

EJKLMNO AEFGJKLMNO AEFGJKLMNO AEFGJKLMNO LMNo JLMNO JkLMNO L Ln l Q RTU


496 556 589 595 493 504 479 - - 420 397 351 417 388 382 214 168 82 118 96 85 99 109 15324% 28% 29% 30% 25% 25% 24% - - 20% 20% 18% 21% 20% 19% 23% 16% 14% 23% 21% 20% 16% 19% 23%

JKLmNO aGJKLMNO AEFGJKLMNO AEFGJKLMNO JKLMNO JKLMNO JKLNO l l L Q R R R V

Very trustworthy

671 680 673 645 557 582 633 - - 609 601 554 539 544 578 280 297 185 168 125 100 182 163 19633% 34% 33% 32% 28% 29% 31% - - 29% 31% 28% 27% 28% 29% 30% 29% 32% 33% 27% 24% 30% 28% 29%

EFjLMNo EFJLMNO EFJLMNO EfLMN elMN m U U


882 784 761 776 943 927 917 - - 1037 963 1091 1009 1037 1004 438 566 308 222 241 233 319 308 31943% 39% 38% 38% 47% 46% 45% - - 50% 49% 55% 51% 53% 51% 47% 55% 54% 44% 52% 56% 53% 53% 48%

BCD ABCD BCD BCD ABCDFG ABCDg ABCDEFGJKo ABCDEFG ABCDEFGk ABCDeFG P S S S


385 376 322 319 374 407 340 - - 369 286 365 356 345 339 164 175 140 88 63 47 115 97 11419% 19% 16% 16% 19% 20% 17% - - 18% 15% 18% 18% 18% 17% 18% 17% 24% 17% 14% 11% 19% 17% 17%

cdK cdK cdK CDGKno K K K K k STU U


497 408 439 457 568 520 577 - - 668 677 726 653 691 665 274 391 168 134 178 186 204 212 20524% 20% 22% 23% 29% 26% 28% - - 32% 35% 36% 33% 35% 34% 29% 38% 29% 26% 38% 44% 34% 36% 31%B ABCD BCd ABCD ABCDEFG ABCDEFG ABCDEFGJ ABCDEFG ABCDEFG ABCDEFG P RS RS

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




My governor






1546 1532 1664 1596 1509 1537 1515 - - 1367 1307 1347 1310 1319 1236 574 663 311 337 300 287 368 393 40675% 76% 82% 79% 76% 76% 75% - - 66% 67% 68% 67% 67% 63% 62% 64% 54% 66% 65% 69% 61% 68% 61%

JKLMNO JKLMNO ABDEFGJKLMNO AbEfGJKLMNO JKLMNO JKLMNO JKLMNO o o O o O R R R Vx


525 550 668 705 618 682 607 - - 549 485 482 521 495 432 218 214 101 122 105 104 128 131 14926% 27% 33% 35% 31% 34% 30% - - 27% 25% 24% 27% 25% 22% 23% 21% 18% 24% 23% 25% 21% 23% 22%O lO ABgJKLMNO ABEGJKLMNO ABJKLMNO ABGJKLMNO AjKLmNO O O o R R

Very trustworthy

1022 982 996 891 891 855 908 - - 819 822 865 789 823 804 356 448 211 215 195 183 241 261 25750% 49% 49% 44% 45% 42% 45% - - 40% 42% 43% 40% 42% 41% 38% 44% 37% 42% 42% 44% 40% 45% 38%

DEFGJKLMNO DeFgJKLMNO DEFGJKLMNO JM JMo JMo j p r x


504 487 359 420 484 476 514 - - 699 654 649 655 650 727 359 368 263 171 162 130 232 188 26325% 24% 18% 21% 24% 24% 25% - - 34% 33% 32% 33% 33% 37% 38% 36% 46% 34% 35% 31% 39% 32% 39%

CD Cd C CD Cd CD ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFGjkLmN STU W w


338 320 218 259 306 293 330 - - 389 359 367 365 331 402 188 214 162 104 78 58 130 113 13716% 16% 11% 13% 15% 15% 16% - - 19% 18% 18% 19% 17% 20% 20% 21% 28% 20% 17% 14% 22% 19% 21%

CD CD Cd C CD bCDEFg CDeF bCDEF bCDEF CD ABCDEFGN STU U


166 166 141 161 179 183 184 - - 310 295 281 290 319 325 171 154 101 67 84 72 102 75 1258% 8% 7% 8% 9% 9% 9% - - 15% 15% 14% 15% 16% 17% 18% 15% 18% 13% 18% 17% 17% 13% 19%

c c C ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFGl w W

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




My local government






1547 1549 1641 1639 1523 1566 1551 - - 1392 1353 1384 1393 1329 1315 634 681 329 354 308 325 377 423 44575% 77% 81% 81% 76% 78% 76% - - 67% 69% 69% 71% 68% 67% 68% 66% 57% 70% 67% 78% 63% 73% 67%

JKLMNO JKLMNO ABEFGJKLMNO ABEFGJKLMNO JKLMNO JKLMNO JKLMNO jnO R R RST Vx


448 464 553 586 485 514 510 - - 399 386 361 418 386 388 206 181 99 120 91 77 110 103 15522% 23% 27% 29% 24% 26% 25% - - 19% 20% 18% 21% 20% 20% 22% 18% 17% 24% 20% 18% 18% 18% 23%

L JkLNo ABeJKLMNO ABEFGJKLMNO JKLmNO AJKLMNO aJKLMNO L Q R vw

Very trustworthy

1098 1085 1088 1053 1039 1052 1041 - - 994 967 1023 975 943 928 428 500 230 234 217 248 267 320 29054% 54% 54% 52% 52% 52% 51% - - 48% 49% 51% 50% 48% 47% 46% 48% 40% 46% 47% 59% 45% 55% 43%

JKmNO JKMNO JKMNO JNO JNO JNO jnO nO r RST VX


503 470 382 377 470 447 478 - - 674 608 612 572 640 648 298 349 246 154 155 93 223 158 22325% 23% 19% 19% 24% 22% 24% - - 33% 31% 31% 29% 32% 33% 32% 34% 43% 30% 33% 22% 37% 27% 33%

CD CD CD CD CD ABCDEFGm ABCDEFG ABCDEFG ABCDEFG ABCDEFGm ABCDEFGM STU U U W w


330 318 253 269 314 297 323 - - 415 376 378 356 396 407 191 216 153 96 100 58 125 98 16616% 16% 13% 13% 16% 15% 16% - - 20% 19% 19% 18% 20% 21% 20% 21% 27% 19% 22% 14% 21% 17% 25%Cd Cd Cd c Cd ABCDEFG ABCDEFG aBCDEFG CDF ABCDEFG ABCDEFG SU U W


174 152 129 108 156 150 155 - - 259 232 234 216 244 241 107 134 93 58 55 35 98 60 578% 8% 6% 5% 8% 7% 8% - - 13% 12% 12% 11% 12% 12% 12% 13% 16% 11% 12% 8% 16% 10% 9%

CD D D D D ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFG ABCDEFG sU WX

Not all trustworthy

2050 2019 2023 2016 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% 100% 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Chinese President, Xi Jinping





- - - - 1993 2013 2029 - - 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** 1993 2013 2029 -** -** 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - 453 429 445 - - 431 428 396 441 439 423 252 171 185 156 56 27 111 114 179- - - - 23% 21% 22% - - 21% 22% 20% 22% 22% 22% 27% 17% 32% 31% 12% 6% 19% 20% 27%

l Q TU TU U VW


- - - - 133 128 129 - - 129 137 121 143 142 136 90 46 67 53 15 1 34 29 63- - - - 7% 6% 6% - - 6% 7% 6% 7% 7% 7% 10% 4% 12% 11% 3% * 6% 5% 9%

Q TU TU U vW

Very trustworthy

- - - - 320 301 316 - - 303 292 275 298 296 287 162 125 118 103 40 26 77 85 116- - - - 16% 15% 16% - - 15% 15% 14% 15% 15% 15% 17% 12% 21% 20% 9% 6% 13% 15% 17%

Q TU TU v


- - - - 1540 1584 1584 - - 1635 1533 1600 1524 1530 1540 680 859 390 352 407 391 489 467 489- - - - 77% 79% 78% - - 79% 78% 80% 78% 78% 78% 73% 83% 68% 69% 88% 94% 81% 80% 73%

e P RS RST X X


- - - - 567 550 522 - - 479 486 515 516 454 482 221 261 189 133 94 67 177 131 152- - - - 28% 27% 26% - - 23% 25% 26% 26% 23% 25% 24% 25% 33% 26% 20% 16% 30% 22% 23%

JKNO JN jn sTU tU WX


- - - - 973 1034 1062 - - 1156 1047 1085 1008 1076 1058 460 598 201 219 313 325 311 336 338- - - - 49% 51% 52% - - 56% 53% 54% 51% 55% 54% 49% 58% 35% 43% 68% 78% 52% 58% 50%

e EFgM E E Em E P R RS RST vX

Not all trustworthy

- - - - 1993 2013 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




My employer





- - - - - - 2029 - - 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** -** -** -** -** 2029 -** -** 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - - - - - 876 - - 963 925 899 944 927 928 459 469 289 311 242 85 224 274 391- - - - - - 43% - - 47% 47% 45% 48% 47% 47% 49% 46% 50% 61% 52% 20% 37% 47% 59%

g G G G G U RTU U V VW


- - - - - - 308 - - 330 308 326 348 355 323 169 154 112 102 86 23 83 92 134- - - - - - 15% - - 16% 16% 16% 18% 18% 16% 18% 15% 19% 20% 19% 5% 14% 16% 20%

g G U U U V

Very trustworthy

- - - - - - 568 - - 633 617 573 596 572 605 290 315 177 208 156 63 142 182 257- - - - - - 28% - - 31% 31% 29% 30% 29% 31% 31% 31% 31% 41% 34% 15% 24% 31% 38%

g U RtU U V VW


- - - - - - 416 - - 413 392 387 389 399 407 200 207 181 109 81 36 141 117 126- - - - - - 20% - - 20% 20% 19% 20% 20% 21% 21% 20% 32% 21% 18% 9% 23% 20% 19%

STU U U


- - - - - - 297 - - 269 242 245 264 256 267 133 134 115 76 58 18 82 89 83- - - - - - 15% - - 13% 12% 12% 13% 13% 14% 14% 13% 20% 15% 13% 4% 14% 15% 12%

kl sTU U U


- - - - - - 119 - - 145 150 142 126 143 141 67 73 66 33 23 18 59 28 43- - - - - - 6% - - 7% 8% 7% 6% 7% 7% 7% 7% 12% 6% 5% 4% 10% 5% 6%

g STU Wx

Not all trustworthy

- - - - - - 737 - - 690 644 710 631 644 628 273 354 104 89 139 297 235 189 151- - - - - - 36% - - 33% 33% 36% 32% 33% 32% 29% 34% 18% 17% 30% 71% 39% 33% 23%

kMnO mo p RS RST WX X

Not applicable

- - - - - - 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Local county agencies/health departments






- - - - - - 1657 - - 1554 1464 1521 1560 1482 1480 700 781 373 388 373 346 451 449 504- - - - - - 82% - - 75% 75% 76% 79% 75% 75% 75% 76% 65% 76% 81% 83% 75% 77% 75%

JKLNO JKlNO R R Rs


- - - - - - 586 - - 494 474 441 478 472 470 244 226 135 136 104 95 146 134 166- - - - - - 29% - - 24% 24% 22% 24% 24% 24% 26% 22% 23% 27% 22% 23% 24% 23% 25%

JKLMNO q

Very trustworthy

- - - - - - 1071 - - 1060 990 1080 1083 1010 1010 455 554 238 253 269 250 304 314 338- - - - - - 53% - - 51% 50% 54% 55% 51% 51% 49% 54% 41% 50% 58% 60% 51% 54% 51%

k jKno p R RS RS


- - - - - - 372 - - 513 497 475 405 487 483 233 250 202 120 89 72 149 132 164- - - - - - 18% - - 25% 25% 24% 21% 25% 25% 25% 24% 35% 24% 19% 17% 25% 23% 25%

GM GM Gm GM GM STU u


- - - - - - 235 - - 329 314 318 259 317 319 160 159 136 81 51 51 95 94 105- - - - - - 12% - - 16% 16% 16% 13% 16% 16% 17% 15% 24% 16% 11% 12% 16% 16% 16%

Gm Gm Gm GM GM STU t


- - - - - - 138 - - 183 184 157 146 170 163 73 91 65 39 38 21 54 38 59- - - - - - 7% - - 9% 9% 8% 7% 9% 8% 8% 9% 11% 8% 8% 5% 9% 7% 9%

G Gm g sU

Not all trustworthy

- - - - - - 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




International health organizations (e.g., World Health Organization)






- - - - - - 1416 - - 1330 1263 1342 1299 1265 1225 552 673 359 365 264 236 358 394 409- - - - - - 70% - - 64% 64% 67% 66% 64% 62% 59% 65% 62% 72% 57% 57% 60% 68% 61%

JKMNO O o P RTU Vx


- - - - - - 649 - - 565 540 535 601 533 477 238 239 146 149 111 71 130 138 183- - - - - - 32% - - 27% 28% 27% 31% 27% 24% 26% 23% 25% 29% 24% 17% 22% 24% 27%

JKLNO o o jLnO U U U v

Very trustworthy

- - - - - - 767 - - 765 723 808 697 732 748 314 434 213 216 154 166 228 256 226- - - - - - 38% - - 37% 37% 40% 35% 37% 38% 34% 42% 37% 42% 33% 40% 38% 44% 34%

jkMn P T vX


- - - - - - 613 - - 737 698 654 666 704 738 380 358 216 143 198 181 242 187 260- - - - - - 30% - - 36% 36% 33% 34% 36% 38% 41% 35% 38% 28% 43% 43% 40% 32% 39%

G G G G GLm Q S S S W w


- - - - - - 300 - - 394 380 358 344 347 411 203 208 143 83 98 87 134 93 154- - - - - - 15% - - 19% 19% 18% 18% 18% 21% 22% 20% 25% 16% 21% 21% 22% 16% 23%

G G G g G GlMN S W W


- - - - - - 313 - - 343 318 296 322 357 327 178 150 73 61 100 94 108 94 105- - - - - - 15% - - 17% 16% 15% 16% 18% 17% 19% 15% 13% 12% 22% 23% 18% 16% 16%

gL Q RS RS

Not all trustworthy

- - - - - - 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Scientists






- - - - - - 1688 - - 1647 1586 1650 1577 1570 1533 707 827 390 398 379 366 452 468 535- - - - - - 83% - - 80% 81% 83% 80% 80% 78% 76% 80% 68% 78% 82% 88% 75% 81% 80%

JmNO o jnO p R R RSt V


- - - - - - 891 - - 796 778 798 750 711 668 324 344 160 193 164 152 182 212 238- - - - - - 44% - - 39% 40% 40% 38% 36% 34% 35% 33% 28% 38% 36% 36% 30% 36% 36%

JKLMNO O nO NO O R R R V

Very trustworthy

- - - - - - 797 - - 851 808 852 827 858 865 383 482 231 205 215 214 270 257 297- - - - - - 39% - - 41% 41% 43% 42% 44% 44% 41% 47% 40% 40% 46% 51% 45% 44% 44%

g G G P RS


- - - - - - 341 - - 419 375 346 388 399 430 225 204 184 110 83 52 148 112 134- - - - - - 17% - - 20% 19% 17% 20% 20% 22% 24% 20% 32% 22% 18% 12% 25% 19% 20%

Gl g Gl GkL q STU U u W


- - - - - - 240 - - 256 249 216 243 266 280 146 134 124 70 52 34 87 84 91- - - - - - 12% - - 12% 13% 11% 12% 13% 14% 16% 13% 22% 14% 11% 8% 14% 14% 14%

L gL STU U


- - - - - - 100 - - 163 126 131 145 134 150 79 70 60 40 32 18 62 28 43- - - - - - 5% - - 8% 6% 7% 7% 7% 8% 8% 7% 11% 8% 7% 4% 10% 5% 6%

G g G G G U u Wx

Not all trustworthy

- - - - - - 2029 - - 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 250Q33B 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)

1449 1166 1214 1835 1273 1639 1147 1387 1580 1613 1235 1771Unweighted Base1509 1213 1247 1846 1292 1666 1202 1452 1596 1649 1283 1772Weighted Base

761 755 473 1399 666 986 949 799 951 1014 742 93550% 62% 38% 76% 52% 59% 79% 55% 60% 61% 58% 53%C ACEfHKL ABCEFHIJKL C ACEHL ABCDEFHIJKL ACe ACEHL ACEHKL ACEL C

Up To 6 Months (Net)

508 546 315 1105 468 669 776 501 664 658 510 66634% 45% 25% 60% 36% 40% 65% 34% 42% 40% 40% 38%C ACEFHiJKL ABCEFHIJKL C ACEH ABCDEFHIJKL C ACEHL ACEH ACeH ACh

Up To 3 Months (Sub-Net)

262 340 203 705 274 368 559 276 351 335 315 39917% 28% 16% 38% 21% 22% 46% 19% 22% 20% 25% 23%

ACEFHIJkL ABCEFHIJKL AC ACH ABCDEFHIJKL c ACH AC ACEHJ ACHj

Immediately/1-30 Days (Sub-Sub-Net)

144 142 98 308 140 185 276 133 150 147 151 21510% 12% 8% 17% 11% 11% 23% 9% 9% 9% 12% 12%

c aCHIJ ABCEFHIJKL Chj ChiJ ABCDEFHIJKL ACHIJ ACHIJ

Immediately

118 198 105 397 134 183 283 143 201 187 164 1838% 16% 8% 22% 10% 11% 23% 10% 13% 11% 13% 10%

ACEFHIJKL ABCEFHIJKL A AC ABCEFHIJKL a ACeHl AC ACeHl A

1-30 days

246 206 112 399 194 301 217 225 313 323 194 26716% 17% 9% 22% 15% 18% 18% 15% 20% 20% 15% 15%C C ABCEFGHKL C CehkL Cel C ACEHKL ACEHKL C C

2-3 months

253 210 158 294 197 317 173 298 286 356 232 26917% 17% 13% 16% 15% 19% 14% 21% 18% 22% 18% 15%C Cg C c CDEGL AbCDEGL CeGl ABCDEGIKL CeGl c

4-6 months

230 126 127 182 185 228 100 220 243 248 152 17715% 10% 10% 10% 14% 14% 8% 15% 15% 15% 12% 10%

BCDGKL BCDGL BCDGL BCDGKL BCDGKL BCDGKL G

7-11 months

419 231 385 232 337 395 109 318 317 334 263 35228% 19% 31% 13% 26% 24% 9% 22% 20% 20% 21% 20%

BDFGHIJKL DG BDEFGHIJKL G BDGHIJKL BDGIJkL bDG DG DG DG DG

A year or longer

99 100 263 34 104 57 44 115 84 53 126 3097% 8% 21% 2% 8% 3% 4% 8% 5% 3% 10% 17%

DFGJ DFGIJ ABDEFGHIJKL DFGIJ D D DFGIJ DFgJ D ADFGIJ ABDEFGHIJK

Never again

364 403 217 797 328 484 499 368 514 511 358 45124% 33% 17% 43% 25% 29% 42% 25% 32% 31% 28% 25%C ACEFHKL ABCEFHIJKL C ACEHL ABCEFHIJKL C ACEfHKL ACEHkL AC C

1 Day To 3 Months (Net)

1509 1213 1247 1846 1292 1666 1202 1452 1596 1649 1283 1772100% 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)




- - 831 843 731 698 582 644 643 612 515 597 604 586 559 299 260 185 195 139 39 133 151 259- - 63% 63% 59% 56% 47% 52% 49% 46% 43% 50% 48% 49% 46% 48% 45% 41% 50% 51% 46% 45% 43% 51%

eFGHIJKLMNO eFGHIJKLMNO GHIJKLMNO GhIJKLMNO k gJKO K K K K R r w

Go to the office

- - 870 822 807 761 722 795 732 637 568 706 701 727 705 355 351 186 183 190 146 196 200 264- - 45% 43% 43% 40% 37% 41% 38% 32% 30% 37% 37% 39% 38% 41% 36% 35% 38% 43% 37% 37% 36% 40%

FGHIJKLMNO GIJKLMNO GIJKLMNO JK JK giJKLm JK JK JK JK JK q R

Go out to dinner

- - 493 480 429 386 359 389 400 379 322 385 367 343 340 194 145 127 135 52 27 70 74 177- - 37% 36% 36% 31% 29% 31% 31% 28% 25% 29% 27% 27% 28% 31% 25% 27% 36% 23% 18% 24% 20% 36%

FGHIJKLMNO fGHIJKLMNO fGHIJKLMNO KmN k Kn KmN k q u RTU VW

Go to a gym class

- - 430 424 343 355 293 311 359 324 279 308 325 302 315 185 131 112 111 67 25 97 86 114- - 32% 32% 29% 27% 22% 24% 27% 23% 20% 23% 24% 24% 25% 28% 21% 24% 31% 26% 14% 27% 23% 23%

FGHIJKLMNO FGHIJKLMNO GHJKLMNo GJKL K GJKL k k K Q U rU U

Take public transportation(e.g., subway, busses,trains)

- - 592 511 481 407 400 407 401 394 376 376 401 389 399 227 172 139 119 89 52 107 102 163- - 31% 27% 26% 22% 21% 22% 21% 21% 21% 20% 22% 21% 23% 26% 19% 27% 26% 21% 14% 21% 19% 26%

DEFGHIJKLMNO FGHIJKLMNO FGHIJKLMNO Q U U U W

Greet people with ahandshake

- - 408 361 312 342 267 295 399 339 322 363 402 383 368 193 175 108 119 95 45 96 98 149- - 24% 21% 19% 20% 15% 17% 22% 19% 19% 21% 23% 22% 22% 24% 21% 22% 26% 25% 14% 22% 19% 23%

EfGHJKl GH G Gh EGHJK G g GH EfGHJK eGHJK eGHjK U U U

Stay in a hotel

- - 500 420 445 408 346 375 393 359 312 334 392 373 351 187 164 138 110 72 31 92 85 155- - 29% 25% 28% 25% 21% 23% 23% 21% 19% 20% 23% 23% 22% 25% 20% 27% 25% 20% 11% 21% 17% 26%

DFGHIJKLMNO GJKLo GHIJKLMNO GJKL K Kl Kl K k q tU U U W

Go to the movies

- - 312 293 245 257 197 211 270 269 240 255 268 293 274 140 134 83 93 62 37 64 62 132- - 22% 22% 20% 20% 15% 16% 20% 19% 18% 18% 19% 21% 21% 21% 21% 20% 25% 22% 16% 19% 16% 26%

GHjKl GHKl GH Gh GH g g G GHK GHk U vW

Visit a casino

- - 482 416 417 404 344 356 375 369 305 359 355 362 335 169 166 127 105 65 38 85 90 131- - 28% 25% 25% 24% 20% 21% 22% 21% 18% 21% 21% 22% 20% 22% 19% 25% 23% 18% 12% 19% 18% 21%

dFGHIJKLMNO GHJKLMO GHiJKLMNO GhjKlmO k K k k K TU U u

Host/attend a large socialgathering

- - 394 339 311 298 221 261 312 293 218 257 294 276 276 160 116 103 95 57 20 69 71 121- - 26% 23% 22% 21% 15% 18% 21% 19% 15% 17% 20% 19% 19% 21% 17% 22% 23% 17% 9% 19% 16% 21%

eFGHIJKLMNO GHJKLno GHjKLo GKL gk GKL GK GK GK GK U U U

Go to a sporting event

- - 314 298 288 288 199 219 288 259 222 250 283 255 262 150 112 106 94 36 26 59 67 124- - 20% 19% 19% 18% 12% 14% 18% 15% 14% 16% 18% 17% 17% 20% 15% 22% 23% 11% 9% 16% 14% 21%

GHJKLn GHJKL GHJKl GHjKl GHK g G GHK Gk GHK q TU TU W

Fly on a plane

- - 195 159 155 174 138 153 189 184 161 149 203 177 203 133 70 90 75 28 10 38 48 105- - 14% 12% 12% 13% 10% 12% 14% 13% 12% 11% 14% 14% 16% 21% 12% 22% 20% 11% 5% 13% 13% 21%

Gl g Gl Gl Gl DEfGHJKL Q TU TU u VW

Take a cruise




of the following?

Summary Of Up To 3 Months





- - 1040 1030 952 922 853 871 895 859 730 809 833 803 776 420 356 268 267 185 56 183 213 357- - 79% 77% 76% 74% 69% 70% 69% 65% 60% 67% 66% 67% 65% 67% 62% 59% 69% 67% 65% 61% 61% 70%

FGHIJKLMNO GHIJKLMNO GHIJKLMNO GhIJKLMNO JKO JKmO jKo k K K K R r VW

Go to the office

- - 1336 1321 1271 1238 1214 1230 1250 1135 991 1139 1143 1119 1105 553 552 322 302 259 222 297 337 411- - 70% 69% 68% 65% 63% 64% 64% 57% 53% 60% 61% 60% 60% 64% 57% 61% 63% 59% 56% 56% 60% 63%

FGHIJKLMNO FGHIJKLMNO GHJKLMNO JKLMNO JKl JKLNo JKLmNO K K jK K K Q u v

Go out to dinner

- - 770 737 688 655 619 635 673 631 535 659 650 594 546 323 222 219 211 72 43 115 154 253- - 58% 55% 58% 53% 49% 50% 52% 46% 41% 49% 48% 46% 45% 52% 38% 47% 57% 32% 28% 40% 41% 51%

FGHIJKLMNO GHJKLMNO fGHIJKLMNO JKlmNO K KnO JKNO K K K K Q TU RTU VW

Go to a gym class

- - 920 866 845 821 718 727 767 710 629 687 723 674 664 354 310 248 210 128 78 164 174 301- - 54% 52% 52% 49% 43% 44% 46% 41% 38% 41% 43% 41% 42% 47% 37% 49% 47% 36% 28% 38% 35% 50%

FGHIJKLMNO GHIJKLMNO GHIJKLMNO GHiJKLMNO K K JKLNo K Q TU TU u VW

Go to the movies

- - 806 737 677 704 623 624 728 667 585 696 738 657 669 355 314 219 206 155 90 158 199 280- - 47% 43% 41% 41% 36% 36% 41% 37% 34% 40% 43% 38% 40% 44% 37% 44% 46% 40% 27% 37% 38% 44%

dEFGHIJKLmNO GHJKN GHJK GHJK GHJK gK GHJKN K GhK Q U U U V

Stay in a hotel

- - 919 825 837 760 723 749 756 698 605 676 700 701 658 332 326 242 216 123 77 168 190 267- - 53% 49% 51% 45% 42% 44% 44% 39% 35% 39% 41% 42% 40% 43% 37% 48% 48% 33% 24% 37% 38% 43%

DFGHIJKLMNO GHIJKLMNO FGHIJKLMNO JKLmO K JKLo JKLO k k K K K q TU TU U v


- - 732 672 594 612 513 558 598 540 508 503 596 539 510 294 216 201 171 91 47 155 142 190- - 54% 51% 50% 47% 39% 43% 45% 37% 36% 37% 44% 42% 40% 44% 35% 42% 47% 35% 25% 44% 38% 39%

FGHIJKLMNO GHIJKLMNO GHiJKLMNO GJKLnO gJKL GJKLO GJKLo JKL Q U TU


- - 1016 912 858 715 726 710 703 654 579 703 689 658 666 381 285 244 202 130 90 172 181 281- - 54% 49% 47% 38% 38% 38% 37% 34% 32% 37% 38% 36% 38% 44% 32% 48% 44% 31% 23% 34% 33% 45%

DEFGHIJKLMNO FGHIJKLMNO FGHIJKLMNO JK JK jK jK K jK K jK Q TU TU u VW


- - 612 536 480 522 424 406 521 469 402 476 520 477 468 262 206 164 151 93 59 109 128 216- - 43% 40% 39% 40% 33% 31% 38% 33% 29% 34% 37% 35% 36% 39% 33% 39% 42% 33% 26% 32% 33% 42%

eGHIJKLMNO GHJKLNo GHJKln GHJKLN GHJKl K gHjK hK HK q U U VW

Visit a casino

- - 747 656 580 581 496 518 583 553 454 525 529 531 501 308 192 187 176 91 47 115 137 229- - 49% 44% 42% 41% 34% 36% 39% 36% 31% 35% 35% 37% 34% 40% 28% 39% 43% 27% 20% 31% 31% 40%

DEFGHIJKLMNO GHIJKLMNO GHJKLMNO GHJKLMnO K GKLmO K k K K Q TU TU VW


- - 642 589 574 568 464 464 543 515 451 492 543 485 508 295 213 208 167 81 52 99 141 249- - 40% 38% 37% 36% 29% 30% 33% 30% 28% 31% 34% 32% 34% 39% 28% 44% 41% 25% 17% 27% 29% 42%

fGHIJKLMNO GHIJKLmNo GHiJKLmNo GHJKLN GhK GhK k GhK Q TU TU u VW

Fly on a plane

- - 346 304 276 329 259 282 343 325 275 263 343 295 315 211 104 154 113 32 16 65 75 163- - 25% 23% 22% 25% 20% 22% 25% 22% 20% 19% 24% 23% 25% 33% 17% 38% 31% 12% 8% 22% 19% 32%

GKL gkl GKL GKL gkL l eGhKL Q sTU TU VW

Take a cruise




of the following?

Summary Of 1 Day To 3 Months





- - 1036 1056 1033 945 993 987 958 892 759 842 843 803 797 412 385 260 200 176 160 219 256 290- - 54% 55% 55% 49% 51% 51% 49% 45% 41% 44% 45% 43% 43% 47% 39% 49% 42% 40% 40% 41% 45% 44%

FIJKLMNO FgHIJKLMNO FghIJKLMNO JKLMNO JKLMNO JKLMNO JKLMNO K k K Q sTU

Go out to dinner

- - 602 598 584 544 592 537 577 523 433 490 507 477 499 283 217 186 171 112 31 115 132 239- - 46% 45% 47% 44% 48% 43% 44% 39% 36% 41% 40% 40% 42% 45% 38% 41% 44% 41% 36% 39% 38% 47%

JKLMNo JKmn JKLMNO jK fHJKLMNO K JKmn k K Q vW

Go to the office

- - 613 573 512 502 486 493 529 478 392 512 491 435 403 248 156 173 159 43 28 87 122 180- - 47% 43% 43% 41% 39% 39% 41% 35% 30% 38% 37% 34% 33% 40% 27% 37% 43% 19% 18% 30% 33% 36%

FGHIJKLMNO gJKLMNO gJKLMNO JKmNO KNO KNO JKmNO K Kno K Q TU TU

Go to a gym class

- - 771 751 722 671 608 607 639 579 516 551 572 525 514 285 230 194 165 94 60 126 139 236- - 45% 46% 45% 40% 36% 37% 38% 33% 31% 33% 34% 32% 32% 37% 27% 38% 37% 26% 21% 29% 28% 39%

FGHIJKLMNO FGHIJKLMNO FGHIJKLMNO ghJKLMNO KNO KlNO JKLMNO Q TU TU VW

Go to the movies

- - 773 707 718 622 615 636 629 553 487 530 558 562 511 267 243 196 164 97 55 134 153 203- - 45% 42% 44% 37% 36% 37% 37% 31% 29% 31% 33% 34% 31% 34% 28% 39% 36% 26% 17% 30% 30% 33%

FGHIJKLMNO FGHIJKLMNO FGHIJKLMNO JKLMnO JKLO JKLMnO JKLmO K K Q TU TU U


- - 654 600 568 577 521 520 569 508 440 526 573 470 484 275 209 176 150 101 57 112 153 199- - 38% 35% 35% 34% 30% 30% 32% 28% 25% 30% 33% 28% 29% 34% 24% 35% 33% 26% 17% 26% 29% 31%

fGHIJKLMNO GHJKLNO GHJKLNO ghJKLNO K K JKN K JKlNO k Q TU tU U

Stay in a hotel

- - 555 533 474 470 391 440 444 397 368 363 441 407 358 208 151 150 117 63 29 104 101 141- - 41% 40% 40% 36% 30% 34% 34% 28% 26% 27% 32% 32% 28% 31% 25% 32% 32% 24% 15% 29% 27% 29%

FGHIJKLMNO fGHIJKLMNO GHIJKLMNO GJKLnO gJKLO gJKLO JKLo jKLo Q U U u


- - 816 723 681 539 577 548 547 490 394 493 483 470 451 262 189 184 139 68 60 113 127 194- - 43% 39% 37% 29% 30% 29% 29% 25% 22% 26% 27% 26% 25% 30% 21% 36% 30% 16% 16% 22% 23% 31%

DEFGHIJKLMNO FGHIJKLMNO FGHIJKLMNO jKno JKLMNO JKnO JKlnO K K K K K Q TU TU VW


- - 485 433 387 417 351 324 398 350 285 368 387 361 328 197 131 121 101 71 35 72 103 146- - 34% 33% 32% 32% 27% 25% 29% 25% 21% 27% 28% 26% 25% 30% 21% 29% 28% 25% 15% 21% 26% 28%

GHIJKLMNO GHJKLMNO gHJKLmNO GHJKLMNO K k HJKo k K K K K Q U U U V

Visit a casino

- - 601 538 463 475 406 425 463 414 348 406 385 409 368 232 136 144 129 64 31 86 100 169- - 40% 36% 33% 34% 28% 29% 31% 27% 24% 27% 26% 29% 25% 30% 20% 30% 32% 19% 13% 23% 23% 29%

EFGHIJKLMNO GHIJKLMNO GhJKLMNO GhJKLMNO K Kmo JKLMO K Q TU TU w


- - 516 488 472 446 383 382 423 395 344 372 424 374 364 219 145 158 113 62 30 69 110 172- - 32% 31% 31% 29% 24% 25% 26% 23% 21% 23% 26% 24% 24% 29% 19% 34% 28% 19% 10% 18% 23% 29%

fGHIJKLMNO GHIJKLMNO GHIJKLMNO GhJKLNO k K K Q TU TU U Vw

Fly on a plane

- - 254 238 205 252 205 223 265 231 202 187 245 226 217 159 58 112 81 18 7 46 52 117- - 18% 18% 16% 19% 16% 17% 19% 16% 15% 14% 17% 17% 17% 25% 10% 28% 22% 7% 3% 15% 14% 23%

KL kL gjKL l eGjKL l L L Q TU TU VW

Take a cruise




of the following?

Summary Of Up To 6 Months





- - 1145 1169 1088 1067 1028 1042 1077 1031 920 975 1029 941 949 507 442 348 315 223 63 224 272 427- - 87% 87% 87% 86% 84% 84% 83% 78% 76% 81% 81% 79% 79% 81% 77% 77% 81% 81% 74% 75% 77% 84%

GHIJKLMNO GhIJKLMNO GHIJKLMNO iJKLMNO JKNO JKNO JKNO K jK VW

Go to the office

- - 1616 1642 1582 1628 1579 1561 1582 1527 1339 1491 1442 1433 1399 685 713 413 368 333 284 376 432 517- - 84% 86% 84% 85% 82% 81% 82% 77% 72% 78% 77% 76% 76% 79% 73% 78% 77% 76% 72% 71% 77% 79%

gHiJKLMNO GHIJKLMNO HJKLMNO GHIJKLMNO JKLMNO JKlMNO JKLMNO K K K K K Q u V V

Go out to dinner

- - 989 970 864 871 856 830 895 886 765 880 858 807 755 426 329 311 270 105 70 163 217 345- - 75% 73% 73% 71% 68% 66% 70% 65% 59% 65% 64% 63% 62% 68% 56% 67% 73% 46% 46% 56% 58% 69%

fGHIJKLMNO GHJKLMNO GHJKLMNO HJKLMNO KmNO K jKlMNO K K K k Q TU TU VW

Go to a gym class

- - 1270 1170 1163 1150 1114 1073 1083 1049 959 1060 1036 1012 1014 494 520 351 313 208 141 256 286 427- - 73% 69% 71% 69% 65% 63% 63% 59% 56% 62% 61% 61% 61% 64% 60% 70% 69% 56% 44% 56% 56% 69%

DFGHIJKLMNO GHIJKLMNO GHIJKLMNO HIJKLMNO JKlMNo JK JK K K K K TU TU U VW


- - 1239 1209 1155 1140 1080 1070 1119 1057 928 1011 1051 1012 951 483 468 339 292 186 133 237 273 407- - 73% 73% 72% 69% 65% 65% 67% 61% 56% 61% 62% 61% 60% 64% 56% 67% 65% 52% 47% 55% 55% 67%

FGHIJKLMNO FGHIJKLMNO GHIJKLMNO GhJKLMNO jKlO jKlnO JKLMNO K K K K Q TU TU VW

Go to the movies

- - 1192 1127 1052 1059 992 980 1091 1062 960 1031 1087 993 986 511 475 316 301 223 146 228 301 413- - 69% 65% 64% 62% 57% 57% 62% 59% 55% 59% 63% 58% 59% 63% 56% 63% 67% 58% 44% 53% 57% 65%

dEFGHIJKLMNO GHiJKLNO GHJKLNO GHjKln GHK GHJKLNo k Q U TU U VW

Stay in a hotel

- - 952 885 775 841 749 783 834 778 734 725 818 723 742 422 320 294 237 139 72 198 196 314- - 70% 67% 65% 64% 57% 61% 63% 54% 52% 54% 60% 57% 58% 63% 52% 62% 65% 54% 39% 56% 52% 64%

EFGHIJKLMNO GHJKLMNO GhJKLMNO GJKLNO k JKLn GJKLNO JKL K Q tU TU U vW


- - 1033 977 862 875 822 806 888 840 717 833 813 821 799 468 331 297 266 153 84 184 213 372- - 68% 66% 62% 62% 57% 56% 60% 54% 49% 55% 55% 57% 55% 61% 48% 62% 65% 46% 35% 50% 48% 64%

EFGHIJKLMNO GHIJKLMNO GHJKLMNO GHJKLMNO K K hJKLMO K K K K K Q TU TU u VW


- - 1318 1220 1146 1066 1017 983 988 959 834 964 956 944 935 513 421 334 274 195 131 235 264 397- - 70% 65% 63% 57% 54% 52% 53% 50% 46% 51% 53% 52% 53% 59% 47% 65% 60% 47% 34% 46% 48% 63%

DEFGHIJKLMNO FGHIJKLMNO FGHIJKLMNO gHIJKLMNO jK K K k K K K K Q TU TU U VW


- - 867 792 697 759 669 651 758 742 627 680 786 726 666 381 285 235 217 137 76 155 190 303- - 62% 60% 57% 58% 52% 50% 56% 52% 46% 49% 56% 53% 52% 57% 46% 56% 60% 49% 33% 45% 49% 59%

eGHIJKLMNO GHJKLNO gHjKLO GHJKLNO K HKLo K HKLo Kl K Q U TU U VW

Visit a casino

- - 1000 905 859 882 788 755 853 861 757 794 871 769 761 440 321 289 229 141 101 155 207 371- - 63% 58% 56% 56% 49% 49% 53% 51% 47% 50% 54% 50% 50% 58% 43% 61% 56% 43% 34% 42% 43% 63%

DEFGHIJKLMNO GHIJKLmNO GHJKLNO GHiJKLNO hK k GHKLn Q TU TU u VW

Fly on a plane

- - 534 487 435 513 425 432 496 495 442 419 544 439 473 295 178 221 180 48 24 95 125 237- - 39% 37% 34% 39% 32% 33% 36% 34% 32% 31% 37% 34% 38% 46% 30% 55% 49% 19% 11% 32% 33% 46%

eGHjKLN GhKL EGHJKLN gkL GhKL GHKLn Q TU TU u VW

Take a cruise




of the following?

Summary Of Year Or Longer





- - 436 418 411 389 437 448 454 441 487 494 476 445 385 162 223 92 95 104 93 91 152 124- - 32% 32% 32% 30% 33% 34% 33% 30% 35% 36% 33% 34% 31% 25% 37% 23% 26% 41% 43% 30% 40% 24%

Fj FJo CdeFJO Fj P RS RS VX

Take a cruise

- - 319 359 384 343 447 454 415 464 491 480 389 407 419 166 253 94 99 102 124 122 170 115- - 20% 23% 25% 22% 28% 29% 26% 27% 30% 30% 24% 27% 28% 22% 34% 20% 24% 31% 41% 33% 35% 19%

c C CDFm CDEFiM Cf CDF CDEFIMn CDEFIMn C CdF CDFm P Rs RST X X

Fly on a plane

- - 252 281 278 295 334 346 338 350 392 415 316 348 337 148 189 85 81 77 94 108 117 98- - 18% 21% 23% 23% 26% 26% 25% 24% 29% 30% 22% 25% 26% 22% 30% 20% 22% 28% 41% 31% 30% 19%

c C C CDm CDefm Cd C CDEFijM CDEFghIJMNo C CD CDm P r RST X X

Visit a casino

- - 297 318 317 355 407 398 354 417 419 396 335 369 395 160 236 101 90 95 109 126 131 121- - 17% 18% 19% 21% 24% 23% 20% 23% 24% 22% 20% 22% 24% 20% 28% 20% 20% 25% 33% 29% 25% 19%

C CDEIM CDEiM c CDEiM CDEfIM CDem Cd CDEIM P RSt X x

Stay in a hotel

- - 234 254 269 270 339 356 320 332 410 376 341 324 318 139 179 79 74 93 72 85 118 101- - 15% 17% 19% 19% 23% 25% 22% 21% 28% 25% 23% 23% 22% 18% 26% 17% 18% 28% 30% 23% 26% 17%

C C CDEF CDEFj CD CD CDEFGIJMNO CDEFij CDef CDef CD P RS RS x X


- - 189 189 184 187 277 250 217 330 335 331 242 270 263 103 161 84 62 68 50 80 99 72- - 14% 14% 15% 14% 21% 19% 16% 23% 24% 25% 18% 21% 21% 15% 26% 18% 17% 26% 27% 23% 26% 15%

CDEFIm CDEF CDEFhIM CDEFHIM CDEFgHIMno Cdf CDEFIm CDEFI P RS RS X X


- - 206 240 221 259 309 313 309 380 389 330 315 327 334 146 188 66 76 90 102 108 116 97- - 12% 14% 13% 15% 18% 18% 18% 21% 23% 19% 19% 20% 20% 19% 22% 13% 17% 24% 32% 24% 23% 16%

C CDEf CDEf CDEf CDEFghi CDEFGHILMn CDEF CDEf CDEF CDEF RS RSt X X


- - 213 216 221 242 272 311 239 304 362 352 303 318 317 119 198 74 70 98 75 100 104 96- - 13% 13% 14% 15% 16% 19% 14% 18% 22% 21% 18% 19% 20% 16% 24% 15% 16% 27% 27% 23% 21% 16%

CDe CDEFI CDEfI CDEFGhIJM CDEFGIJm CDEFI CDEFgI CDEFGI P RS RS X x

Go to the movies

- - 213 239 286 284 333 341 356 361 368 423 322 363 352 158 194 80 81 82 108 116 119 96- - 11% 13% 16% 15% 18% 18% 19% 19% 20% 22% 18% 20% 20% 18% 22% 16% 18% 20% 28% 23% 22% 15%

CD Cd CD CDf CDEF CDEF CDEF CDEFGHIJM CD CDEF CDEF RST X X


- - 125 163 115 129 181 192 176 214 231 186 218 219 231 99 133 69 62 60 40 67 72 81- - 9% 12% 10% 10% 14% 15% 14% 16% 18% 14% 16% 17% 19% 16% 23% 15% 17% 27% 26% 23% 19% 16%

c CEF CdEF CEf CdEF CDEFgIL CEF CDEF CDEFil CDEFGHIjL P RS RS x

Go to a gym class

- - 129 121 151 120 172 175 176 218 229 205 187 197 232 93 139 55 53 59 65 89 69 59- - 7% 6% 8% 6% 9% 9% 9% 11% 12% 11% 10% 10% 13% 11% 14% 10% 11% 13% 16% 17% 12% 9%

CDF CDF CDF CDEFg CDEFGHIm CDEF CDF CDEF CDEFGHIM p Rs wX

Go out to dinner

- - 78 54 55 64 86 90 87 118 104 79 101 116 109 44 65 45 23 26 14 32 43 27- - 6% 4% 4% 5% 7% 7% 7% 9% 9% 7% 8% 10% 9% 7% 11% 10% 6% 10% 17% 11% 12% 5%

d DE DEf DE CDEFl CDEF De DEF CDEFGhIL CDEFil P s S X X

Go to the office



19 Jun 2020Table 256Q33B_1 Once the government provides information that the spread of the virus is flattening how long will it take you to do each

of the following?

Fly on a plane





- - 1565 1533 1489 1503 1614 1533 1610 1627 1628 1605 1573 1543 1449 669 780 492 395 289 273 498 523 364Unweighted Base-** -** 1599 1558 1532 1562 1606 1553 1625 1689 1620 1604 1606 1535 1509 760 749 471 411 325 302 372 481 592Weighted Base

- - 1000 905 859 882 788 755 853 861 757 794 871 769 761 440 321 289 229 141 101 155 207 371- - 63% 58% 56% 56% 49% 49% 53% 51% 47% 50% 54% 50% 50% 58% 43% 61% 56% 43% 34% 42% 43% 63%

DEFGHIJKLMNO GHIJKLmNO GHJKLNO GHiJKLNO hK k GHKLn Q TU TU u VW


- - 642 589 574 568 464 464 543 515 451 492 543 485 508 295 213 208 167 81 52 99 141 249- - 40% 38% 37% 36% 29% 30% 33% 30% 28% 31% 34% 32% 34% 39% 28% 44% 41% 25% 17% 27% 29% 42%

fGHIJKLMNO GHIJKLmNo GHiJKLmNo GHJKLN GhK GhK k GhK Q TU TU u VW


- - 314 298 288 288 199 219 288 259 222 250 283 255 262 150 112 106 94 36 26 59 67 124- - 20% 19% 19% 18% 12% 14% 18% 15% 14% 16% 18% 17% 17% 20% 15% 22% 23% 11% 9% 16% 14% 21%

GHJKLn GHJKL GHJKl GHjKl GHK g G GHK Gk GHK q TU TU W


- - 126 102 101 123 80 82 120 119 107 120 118 111 144 76 68 50 54 19 22 30 31 77- - 8% 7% 7% 8% 5% 5% 7% 7% 7% 7% 7% 7% 10% 10% 9% 11% 13% 6% 7% 8% 6% 13%

GH GH Gh Gh GH Gh Gh DEGHiJKmn t Tu vW

Immediately

- - 188 196 187 166 119 137 168 139 115 130 165 144 118 74 44 56 41 17 4 29 36 47- - 12% 13% 12% 11% 7% 9% 10% 8% 7% 8% 10% 9% 8% 10% 6% 12% 10% 5% 1% 8% 7% 8%

GHJKLnO GHJKLNO GHJKLNO GjKlO GKlo GKo k Q TU tU u

1-30 days

- - 327 292 286 280 264 246 255 256 228 242 259 229 246 145 101 102 72 46 26 40 74 126- - 20% 19% 19% 18% 16% 16% 16% 15% 14% 15% 16% 15% 16% 19% 14% 22% 18% 14% 9% 11% 15% 21%

GHIJKLMNO hiJKLN hiJKLN Kln Q TU U v Vw

2-3 months

- - 359 316 285 314 324 291 310 347 306 302 328 284 253 145 108 81 63 60 49 56 66 122- - 22% 20% 19% 20% 20% 19% 19% 21% 19% 19% 20% 18% 17% 19% 14% 17% 15% 18% 16% 15% 14% 21%

EHikLNO o o o O O q vW

4-6 months

- - 179 217 179 243 260 240 258 232 241 226 234 249 230 109 121 69 61 49 51 53 74 86- - 11% 14% 12% 16% 16% 15% 16% 14% 15% 14% 15% 16% 15% 14% 16% 15% 15% 15% 17% 14% 15% 15%

c CE CE CE CE c CE C Ce CE CE

7-11 months

- - 319 359 384 343 447 454 415 464 491 480 389 407 419 166 253 94 99 102 124 122 170 115- - 20% 23% 25% 22% 28% 29% 26% 27% 30% 30% 24% 27% 28% 22% 34% 20% 24% 31% 41% 33% 35% 19%

c C CDFm CDEFiM Cf CDF CDEFIMn CDEFIMn C CdF CDFm P Rs RST X X

A year or longer

- - 101 78 110 93 111 104 98 132 131 103 112 111 99 46 53 18 22 33 25 43 30 20- - 6% 5% 7% 6% 7% 7% 6% 8% 8% 6% 7% 7% 7% 6% 7% 4% 5% 10% 8% 11% 6% 3%

D d D Dfi d D Rs R WX x

Never again

- - 516 488 472 446 383 382 423 395 344 372 424 374 364 219 145 158 113 62 30 69 110 172- - 32% 31% 31% 29% 24% 25% 26% 23% 21% 23% 26% 24% 24% 29% 19% 34% 28% 19% 10% 18% 23% 29%

fGHIJKLMNO GHIJKLMNO GHIJKLMNO GhJKLNO k K K Q TU TU U Vw


- - 1599 1558 1532 1562 1606 1553 1625 1689 1620 1604 1606 1535 1509 760 749 471 411 325 302 372 481 592- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




of the following?

Go to a gym class





- - 1315 1276 1156 1191 1257 1201 1256 1288 1260 1291 1297 1307 1166 569 597 479 352 195 140 403 402 311Unweighted Base-** -** 1319 1330 1190 1232 1261 1263 1286 1364 1306 1348 1344 1286 1213 626 588 462 373 226 152* 289 374 497Weighted Base

- - 989 970 864 871 856 830 895 886 765 880 858 807 755 426 329 311 270 105 70 163 217 345- - 75% 73% 73% 71% 68% 66% 70% 65% 59% 65% 64% 63% 62% 68% 56% 67% 73% 46% 46% 56% 58% 69%

fGHIJKLMNO GHJKLMNO GHJKLMNO HJKLMNO KmNO K jKlMNO K K K k Q TU TU VW


- - 770 737 688 655 619 635 673 631 535 659 650 594 546 323 222 219 211 72 43 115 154 253- - 58% 55% 58% 53% 49% 50% 52% 46% 41% 49% 48% 46% 45% 52% 38% 47% 57% 32% 28% 40% 41% 51%

FGHIJKLMNO GHJKLMNO fGHIJKLMNO JKlmNO K KnO JKNO K K K K Q TU RTU VW


- - 493 480 429 386 359 389 400 379 322 385 367 343 340 194 145 127 135 52 27 70 74 177- - 37% 36% 36% 31% 29% 31% 31% 28% 25% 29% 27% 27% 28% 31% 25% 27% 36% 23% 18% 24% 20% 36%

FGHIJKLMNO fGHIJKLMNO fGHIJKLMNO KmN k Kn KmN k q u RTU VW


- - 157 164 176 153 134 142 144 153 144 147 159 159 142 76 67 47 52 29 15 28 32 73- - 12% 12% 15% 12% 11% 11% 11% 11% 11% 11% 12% 12% 12% 12% 11% 10% 14% 13% 10% 10% 9% 15%

cGHIJKLmo vW

Immediately

- - 336 316 253 233 226 247 257 226 178 238 207 184 198 119 79 80 83 23 12 42 41 104- - 25% 24% 21% 19% 18% 20% 20% 17% 14% 18% 15% 14% 16% 19% 13% 17% 22% 10% 8% 15% 11% 21%

EFGHIJKLMNO FGHiJKLMNO JKlMNO KmN KN KMNo jKMNo Kn Q tU TU vW

1-30 days

- - 278 257 259 269 260 246 273 252 213 274 284 251 206 129 77 93 76 20 17 45 80 76- - 21% 19% 22% 22% 21% 19% 21% 18% 16% 20% 21% 19% 17% 21% 13% 20% 21% 9% 11% 15% 21% 15%

KO KO jKO Ko KO Ko KO Q TU TU vx

2-3 months

- - 219 233 176 217 237 195 222 255 229 221 208 214 210 103 107 91 59 33 26 48 63 92- - 17% 18% 15% 18% 19% 15% 17% 19% 18% 16% 15% 17% 17% 16% 18% 20% 16% 14% 17% 17% 17% 19%

Ehm Ehm

4-6 months

- - 111 115 101 118 120 142 125 135 164 155 147 150 126 60 67 58 26 27 16 27 51 44- - 8% 9% 9% 10% 10% 11% 10% 10% 13% 12% 11% 12% 10% 10% 11% 12% 7% 12% 11% 9% 14% 9%

cde CDEfgi Cde c CDE S vx

7-11 months

- - 125 163 115 129 181 192 176 214 231 186 218 219 231 99 133 69 62 60 40 67 72 81- - 9% 12% 10% 10% 14% 15% 14% 16% 18% 14% 16% 17% 19% 16% 23% 15% 17% 27% 26% 23% 19% 16%

c CEF CdEF CEf CdEF CDEFgIL CEF CDEF CDEFil CDEFGHIjL P RS RS x

A year or longer

- - 94 82 109 114 103 99 91 128 146 127 121 110 100 41 59 25 15 34 26 33 34 27- - 7% 6% 9% 9% 8% 8% 7% 9% 11% 9% 9% 9% 8% 7% 10% 5% 4% 15% 17% 11% 9% 5%

D D cDi CDGHIno cDi D d p RS RS X

Never again

- - 613 573 512 502 486 493 529 478 392 512 491 435 403 248 156 173 159 43 28 87 122 180- - 47% 43% 43% 41% 39% 39% 41% 35% 30% 38% 37% 34% 33% 40% 27% 37% 43% 19% 18% 30% 33% 36%

FGHIJKLMNO gJKLMNO gJKLMNO JKmNO KNO KNO JKmNO K Kno K Q TU TU


- - 1319 1330 1190 1232 1261 1263 1286 1364 1306 1348 1344 1286 1213 626 588 462 373 226 152 289 374 497- - 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






- - 534 487 435 513 425 432 496 495 442 419 544 439 473 295 178 221 180 48 24 95 125 237- - 39% 37% 34% 39% 32% 33% 36% 34% 32% 31% 37% 34% 38% 46% 30% 55% 49% 19% 11% 32% 33% 46%

eGHjKLN GhKL EGHJKLN gkL GhKL GHKLn Q TU TU u VW


- - 346 304 276 329 259 282 343 325 275 263 343 295 315 211 104 154 113 32 16 65 75 163- - 25% 23% 22% 25% 20% 22% 25% 22% 20% 19% 24% 23% 25% 33% 17% 38% 31% 12% 8% 22% 19% 32%

GKL gkl GKL GKL gkL l eGhKL Q sTU TU VW


- - 195 159 155 174 138 153 189 184 161 149 203 177 203 133 70 90 75 28 10 38 48 105- - 14% 12% 12% 13% 10% 12% 14% 13% 12% 11% 14% 14% 16% 21% 12% 22% 20% 11% 5% 13% 13% 21%

Gl g Gl Gl Gl DEfGHJKL Q TU TU u VW


- - 92 66 71 77 54 59 79 94 72 76 97 69 98 52 46 41 33 14 10 19 22 46- - 7% 5% 6% 6% 4% 5% 6% 6% 5% 6% 7% 5% 8% 8% 8% 10% 9% 6% 5% 6% 6% 9%

Gh Gh Gh DeGHiKlN U

Immediately

- - 103 94 85 97 83 94 110 90 89 73 106 108 105 81 24 49 43 13 - 19 26 59- - 7% 7% 7% 7% 6% 7% 8% 6% 6% 5% 7% 8% 8% 13% 4% 12% 12% 5% - 6% 7% 12%

l l L jL jL Q TU TU U Vw

1-30 days

- - 151 144 121 155 121 129 154 141 113 114 139 118 112 78 34 64 38 4 7 27 26 58- - 11% 11% 9% 12% 9% 10% 11% 10% 8% 8% 10% 9% 9% 12% 6% 16% 10% 2% 3% 9% 7% 11%

kl kl gKLno KL Q sTU TU w

2-3 months

- - 188 184 159 184 166 150 153 169 167 156 201 144 158 84 74 67 67 17 7 30 51 74- - 14% 14% 12% 14% 13% 11% 11% 12% 12% 11% 14% 11% 13% 13% 12% 17% 18% 6% 3% 10% 13% 14%

in in n TU TU

4-6 months

- - 153 144 139 134 137 125 157 178 174 159 170 165 127 68 59 48 35 20 24 29 29 63- - 11% 11% 11% 10% 10% 10% 11% 12% 13% 12% 12% 13% 10% 10% 10% 12% 9% 8% 11% 10% 8% 12%

h h H w

7-11 months

- - 436 418 411 389 437 448 454 441 487 494 476 445 385 162 223 92 95 104 93 91 152 124- - 32% 32% 32% 30% 33% 34% 33% 30% 35% 36% 33% 34% 31% 25% 37% 23% 26% 41% 43% 30% 40% 24%

Fj FJo CdeFJO Fj P RS RS VX

A year or longer

- - 259 253 291 280 320 295 262 337 285 289 266 251 263 120 143 42 59 84 77 86 75 87- - 19% 19% 23% 21% 24% 23% 19% 23% 21% 21% 18% 19% 21% 19% 24% 11% 16% 33% 35% 28% 20% 17%

CiMn CDIkMN CiMn CdIMN p r RS RS WX

Never again

- - 254 238 205 252 205 223 265 231 202 187 245 226 217 159 58 112 81 18 7 46 52 117- - 18% 18% 16% 19% 16% 17% 19% 16% 15% 14% 17% 17% 17% 25% 10% 28% 22% 7% 3% 15% 14% 23%

KL kL gjKL l eGjKL l L L Q TU TU VW


- - 1382 1303 1276 1315 1320 1301 1369 1450 1388 1360 1457 1300 1247 644 603 403 369 256 218 301 382 511- - 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






- - 1616 1642 1582 1628 1579 1561 1582 1527 1339 1491 1442 1433 1399 685 713 413 368 333 284 376 432 517- - 84% 86% 84% 85% 82% 81% 82% 77% 72% 78% 77% 76% 76% 79% 73% 78% 77% 76% 72% 71% 77% 79%

gHiJKLMNO GHIJKLMNO HJKLMNO GHIJKLMNO JKLMNO JKlMNO JKLMNO K K K K K Q u V V


- - 1336 1321 1271 1238 1214 1230 1250 1135 991 1139 1143 1119 1105 553 552 322 302 259 222 297 337 411- - 70% 69% 68% 65% 63% 64% 64% 57% 53% 60% 61% 60% 60% 64% 57% 61% 63% 59% 56% 56% 60% 63%

FGHIJKLMNO FGHIJKLMNO GHJKLMNO JKLMNO JKl JKLNo JKLmNO K K jK K K Q u v


- - 870 822 807 761 722 795 732 637 568 706 701 727 705 355 351 186 183 190 146 196 200 264- - 45% 43% 43% 40% 37% 41% 38% 32% 30% 37% 37% 39% 38% 41% 36% 35% 38% 43% 37% 37% 36% 40%

FGHIJKLMNO GIJKLMNO GIJKLMNO JK JK giJKLm JK JK JK JK JK q R


- - 300 265 238 293 221 243 292 244 232 298 300 315 308 141 167 61 102 83 62 78 81 121- - 16% 14% 13% 15% 11% 13% 15% 12% 12% 16% 16% 17% 17% 16% 17% 12% 21% 19% 16% 15% 14% 18%

EGHJK g eGHJK eGhJk EGHJK EGHJK DEGHJK dEGHJK Ru R

Immediately

- - 571 557 569 468 501 552 439 393 337 408 401 411 397 213 184 125 81 106 85 119 119 142- - 30% 29% 30% 24% 26% 29% 23% 20% 18% 21% 21% 22% 22% 25% 19% 23% 17% 24% 21% 22% 21% 22%

FGIJKLMNO FgIJKLMNO FGIJKLMNO JKlmo iJKLMNO FIJKLMNO jK K k K K Q S S

1-30 days

- - 466 500 464 477 492 435 518 499 422 433 443 392 399 198 201 136 118 70 76 100 137 147- - 24% 26% 25% 25% 25% 22% 27% 25% 23% 23% 24% 21% 22% 23% 21% 26% 25% 16% 19% 19% 24% 22%

N HKLNO No No hlNO HKLmNO NO Tu T V

2-3 months

- - 280 321 311 390 365 331 332 392 349 352 299 315 294 132 162 92 66 74 62 80 95 106- - 15% 17% 17% 20% 19% 17% 17% 20% 19% 18% 16% 17% 16% 15% 17% 17% 14% 17% 16% 15% 17% 16%

CDEHIMNO CMo c c CdEhiMnO Cmo C

4-6 months

- - 125 126 120 133 162 171 162 188 246 188 200 213 182 72 110 48 47 45 41 58 55 66- - 7% 7% 6% 7% 8% 9% 8% 9% 13% 10% 11% 11% 10% 8% 11% 9% 10% 10% 10% 11% 10% 10%

cde CDEf ce CDEF CDEFGHIJLmO CDEF CDEFgi CDEFGHI CDEF p

7-11 months

- - 129 121 151 120 172 175 176 218 229 205 187 197 232 93 139 55 53 59 65 89 69 59- - 7% 6% 8% 6% 9% 9% 9% 11% 12% 11% 10% 10% 13% 11% 14% 10% 11% 13% 16% 17% 12% 9%

CDF CDF CDF CDEFg CDEFGHIm CDEF CDF CDEF CDEFGHIM p Rs wX

A year or longer

- - 43 21 30 32 18 27 20 52 58 30 53 31 34 20 13 15 11 2 6 7 7 14- - 2% 1% 2% 2% 1% 1% 1% 3% 3% 2% 3% 2% 2% 2% 1% 3% 2% * 2% 1% 1% 2%

DGI g DeGHIl DEFGHILNo DEfGHILn g G T t

Never again

- - 1036 1056 1033 945 993 987 958 892 759 842 843 803 797 412 385 260 200 176 160 219 256 290- - 54% 55% 55% 49% 51% 51% 49% 45% 41% 44% 45% 43% 43% 47% 39% 49% 42% 40% 40% 41% 45% 44%

FIJKLMNO FgHIJKLMNO FghIJKLMNO JKLMNO JKLMNO JKLMNO JKLMNO K k K Q sTU


- - 1913 1910 1882 1912 1930 1934 1940 1985 1872 1914 1882 1874 1846 870 976 532 479 439 396 531 563 657- - 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






- - 867 792 697 759 669 651 758 742 627 680 786 726 666 381 285 235 217 137 76 155 190 303- - 62% 60% 57% 58% 52% 50% 56% 52% 46% 49% 56% 53% 52% 57% 46% 56% 60% 49% 33% 45% 49% 59%

eGHIJKLMNO GHJKLNO gHjKLO GHJKLNO K HKLo K HKLo Kl K Q U TU U VW


- - 612 536 480 522 424 406 521 469 402 476 520 477 468 262 206 164 151 93 59 109 128 216- - 43% 40% 39% 40% 33% 31% 38% 33% 29% 34% 37% 35% 36% 39% 33% 39% 42% 33% 26% 32% 33% 42%

eGHIJKLMNO GHJKLNo GHJKln GHJKLN GHJKl K gHjK hK HK q U U VW


- - 312 293 245 257 197 211 270 269 240 255 268 293 274 140 134 83 93 62 37 64 62 132- - 22% 22% 20% 20% 15% 16% 20% 19% 18% 18% 19% 21% 21% 21% 21% 20% 25% 22% 16% 19% 16% 26%

GHjKl GHKl GH Gh GH g g G GHK GHk U vW


- - 127 102 93 105 73 82 123 119 117 108 133 116 140 65 76 43 50 22 25 36 24 70- - 9% 8% 8% 8% 6% 6% 9% 8% 9% 8% 9% 8% 11% 10% 12% 10% 14% 8% 11% 11% 6% 14%

GH g g GH Gh Gh g GH Gh DEfGHjLn t W W

Immediately

- - 185 190 152 153 124 129 147 150 123 147 135 178 134 76 58 39 43 39 12 28 37 62- - 13% 14% 12% 12% 10% 10% 11% 10% 9% 11% 10% 13% 10% 11% 9% 9% 12% 14% 5% 8% 10% 12%

GHjKMo GHIJKLMO gKm k GHKMo U U

1-30 days

- - 300 243 235 265 227 195 251 201 161 221 252 184 194 122 73 82 59 31 23 44 66 84- - 21% 18% 19% 20% 18% 15% 18% 14% 12% 16% 18% 13% 15% 18% 12% 20% 16% 11% 10% 13% 17% 16%

gHJKLmNO hJKNo HJKNO HJKLNO JKN k hJKNo K JKN k Q TU u

2-3 months

- - 255 256 217 237 245 245 237 273 225 204 266 249 197 119 78 71 66 44 17 46 63 87- - 18% 19% 18% 18% 19% 19% 17% 19% 16% 15% 19% 18% 15% 18% 13% 17% 18% 16% 7% 14% 16% 17%

l LO l LO Lo LO Lo L Q U U U

4-6 months

- - 166 151 150 154 170 190 167 203 195 137 171 189 185 94 91 75 39 33 39 42 50 85- - 12% 11% 12% 12% 13% 15% 12% 14% 14% 10% 12% 14% 14% 14% 15% 18% 11% 12% 17% 12% 13% 17%

L cdL dL dL L dL S s

7-11 months

- - 252 281 278 295 334 346 338 350 392 415 316 348 337 148 189 85 81 77 94 108 117 98- - 18% 21% 23% 23% 26% 26% 25% 24% 29% 30% 22% 25% 26% 22% 30% 20% 22% 28% 41% 31% 30% 19%

c C C CDm CDefm Cd C CDEFijM CDEFghIJMNo C CD CDm P r RST X X

A year or longer

- - 125 102 103 92 114 125 94 135 156 150 135 102 104 44 60 25 27 31 21 38 34 27- - 9% 8% 8% 7% 9% 10% 7% 9% 11% 11% 10% 7% 8% 7% 10% 6% 7% 11% 9% 11% 9% 5%

fi fi cDeFgINO DeFINO fi r X x

Never again

- - 485 433 387 417 351 324 398 350 285 368 387 361 328 197 131 121 101 71 35 72 103 146- - 34% 33% 32% 32% 27% 25% 29% 25% 21% 27% 28% 26% 25% 30% 21% 29% 28% 25% 15% 21% 26% 28%

GHIJKLMNO GHJKLMNO gHJKLmNO GHJKLMNO K k HJKo k K K K K Q U U U V


- - 1410 1326 1227 1300 1287 1312 1356 1430 1370 1382 1407 1365 1292 667 625 420 364 278 230 343 391 513- - 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






- - 1192 1127 1052 1059 992 980 1091 1062 960 1031 1087 993 986 511 475 316 301 223 146 228 301 413- - 69% 65% 64% 62% 57% 57% 62% 59% 55% 59% 63% 58% 59% 63% 56% 63% 67% 58% 44% 53% 57% 65%

dEFGHIJKLMNO GHiJKLNO GHJKLNO GHjKln GHK GHJKLNo k Q U TU U VW


- - 806 737 677 704 623 624 728 667 585 696 738 657 669 355 314 219 206 155 90 158 199 280- - 47% 43% 41% 41% 36% 36% 41% 37% 34% 40% 43% 38% 40% 44% 37% 44% 46% 40% 27% 37% 38% 44%

dEFGHIJKLmNO GHJKN GHJK GHJK GHJK gK GHJKN K GhK Q U U U V


- - 408 361 312 342 267 295 399 339 322 363 402 383 368 193 175 108 119 95 45 96 98 149- - 24% 21% 19% 20% 15% 17% 22% 19% 19% 21% 23% 22% 22% 24% 21% 22% 26% 25% 14% 22% 19% 23%

EfGHJKl GH G Gh EGHJK G g GH EfGHJK eGHJK eGHjK U U U


- - 152 138 109 127 102 104 159 159 145 170 166 186 185 80 104 43 55 54 32 46 46 81- - 9% 8% 7% 7% 6% 6% 9% 9% 8% 10% 10% 11% 11% 10% 12% 9% 12% 14% 10% 11% 9% 13%

eGH gh EGH eGH GH EfGH EfGH cDEFGHjK cDEFGHijK R w

Immediately

- - 256 224 203 215 165 190 240 180 177 193 236 197 183 112 71 65 64 41 13 50 52 68- - 15% 13% 12% 13% 10% 11% 14% 10% 10% 11% 14% 12% 11% 14% 8% 13% 14% 11% 4% 12% 10% 11%

GHJKLNO GJk Gj GJk GhJKlo GhJKLo Q U U U

1-30 days

- - 398 376 365 362 356 329 329 327 263 333 336 274 301 162 138 110 86 60 44 62 101 131- - 23% 22% 22% 21% 21% 19% 19% 18% 15% 19% 20% 16% 18% 20% 16% 22% 19% 16% 13% 14% 19% 21%

HIJKLmNO iJKlNO hIJKlNO jKNo KN Kn K k Kn KN k tU u v V

2-3 months

- - 386 390 375 355 369 356 363 395 374 335 349 336 317 156 161 98 96 68 56 70 102 133- - 22% 23% 23% 21% 21% 21% 20% 22% 22% 19% 20% 20% 19% 19% 19% 20% 21% 18% 17% 16% 20% 21%

lo LO LnO l

4-6 months

- - 185 221 211 222 252 291 267 252 269 254 231 287 228 109 119 65 49 48 66 52 80 84- - 11% 13% 13% 13% 15% 17% 15% 14% 16% 14% 13% 17% 14% 13% 14% 13% 11% 13% 20% 12% 15% 13%

c C CDEFJMO C C Cde C C CDEFjMO C RST

7-11 months

- - 297 318 317 355 407 398 354 417 419 396 335 369 395 160 236 101 90 95 109 126 131 121- - 17% 18% 19% 21% 24% 23% 20% 23% 24% 22% 20% 22% 24% 20% 28% 20% 20% 25% 33% 29% 25% 19%

C CDEIM CDEiM c CDEiM CDEfIM CDem Cd CDEIM P RSt X x

A year or longer

- - 57 59 64 66 80 55 62 79 87 80 64 58 57 31 25 16 11 17 12 25 12 17- - 3% 3% 4% 4% 5% 3% 3% 4% 5% 5% 4% 3% 3% 4% 3% 3% 2% 5% 4% 6% 2% 3%

h cdHino h WX

Never again

- - 654 600 568 577 521 520 569 508 440 526 573 470 484 275 209 176 150 101 57 112 153 199- - 38% 35% 35% 34% 30% 30% 32% 28% 25% 30% 33% 28% 29% 34% 24% 35% 33% 26% 17% 26% 29% 31%

fGHIJKLMNO GHJKLNO GHJKLNO ghJKLNO K K JKN K JKlNO k Q TU tU U


- - 1731 1725 1644 1702 1731 1724 1773 1810 1735 1761 1717 1707 1666 811 855 499 451 383 333 431 524 635- - 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





- - 1333 1319 1217 1251 1242 1230 1288 1270 1194 1195 1222 1232 1147 559 588 478 371 221 77 400 389 315Unweighted Base-** -** 1315 1342 1247 1241 1230 1246 1300 1327 1209 1206 1263 1193 1202 629 574 455 388 274 85* 299 352 507Weighted Base

- - 1145 1169 1088 1067 1028 1042 1077 1031 920 975 1029 941 949 507 442 348 315 223 63 224 272 427- - 87% 87% 87% 86% 84% 84% 83% 78% 76% 81% 81% 79% 79% 81% 77% 77% 81% 81% 74% 75% 77% 84%

GHIJKLMNO GhIJKLMNO GHIJKLMNO iJKLMNO JKNO JKNO JKNO K jK VW


- - 1040 1030 952 922 853 871 895 859 730 809 833 803 776 420 356 268 267 185 56 183 213 357- - 79% 77% 76% 74% 69% 70% 69% 65% 60% 67% 66% 67% 65% 67% 62% 59% 69% 67% 65% 61% 61% 70%

FGHIJKLMNO GHIJKLMNO GHIJKLMNO GhIJKLMNO JKO JKmO jKo k K K K R r VW


- - 831 843 731 698 582 644 643 612 515 597 604 586 559 299 260 185 195 139 39 133 151 259- - 63% 63% 59% 56% 47% 52% 49% 46% 43% 50% 48% 49% 46% 48% 45% 41% 50% 51% 46% 45% 43% 51%

eFGHIJKLMNO eFGHIJKLMNO GHIJKLMNO GhIJKLMNO k gJKO K K K K R r w


- - 438 432 368 378 261 334 319 335 297 318 326 326 276 137 139 83 95 73 25 68 81 118- - 33% 32% 30% 30% 21% 27% 25% 25% 25% 26% 26% 27% 23% 22% 24% 18% 25% 27% 29% 23% 23% 23%

GHIJKLMNO GHIJKLMNO GIjKO GIJKlMO Go g G G GO r R r

Immediately

- - 393 411 363 320 321 310 324 277 218 279 278 260 283 162 121 102 100 66 14 65 70 141- - 30% 31% 29% 26% 26% 25% 25% 21% 18% 23% 22% 22% 23% 26% 21% 23% 26% 24% 17% 22% 20% 28%

fgHIJKLMNO FGHIJKLMNO hiJKLMNO JKmn JKmN jK jK K k k K W

1-30 days

- - 209 188 221 224 271 227 253 246 215 212 229 217 217 121 96 83 72 46 16 50 63 97- - 16% 14% 18% 18% 22% 18% 19% 19% 18% 18% 18% 18% 18% 19% 17% 18% 18% 17% 19% 17% 18% 19%

D D CDEFhjKLmno D cD D D d D D D

2-3 months

- - 105 138 136 145 175 171 182 172 190 166 196 137 173 87 86 80 48 38 8 40 58 71- - 8% 10% 11% 12% 14% 14% 14% 13% 16% 14% 16% 12% 14% 14% 15% 18% 12% 14% 9% 13% 17% 14%

C C CDE CDe CDe Cd CDEFN CDe CDEFN C CDEn s

4-6 months

- - 48 81 63 78 80 73 94 109 133 102 85 92 100 54 46 42 38 17 4 25 31 39- - 4% 6% 5% 6% 7% 6% 7% 8% 11% 8% 7% 8% 8% 9% 8% 9% 10% 6% 5% 8% 9% 8%

C C C C Ce CdEh CDEFGHIjMNo CdEfH C CE CdEh

7-11 months

- - 78 54 55 64 86 90 87 118 104 79 101 116 109 44 65 45 23 26 14 32 43 27- - 6% 4% 4% 5% 7% 7% 7% 9% 9% 7% 8% 10% 9% 7% 11% 10% 6% 10% 17% 11% 12% 5%

d DE DEf DE CDEFl CDEF De DEF CDEFGhIL CDEFil P s S X X

A year or longer

- - 44 38 40 32 37 41 41 70 52 50 48 45 44 24 21 19 13 9 4 17 5 14- - 3% 3% 3% 3% 3% 3% 3% 5% 4% 4% 4% 4% 4% 4% 4% 4% 3% 3% 4% 6% 1% 3%

cDEFGhI f f Wx

Never again

- - 602 598 584 544 592 537 577 523 433 490 507 477 499 283 217 186 171 112 31 115 132 239- - 46% 45% 47% 44% 48% 43% 44% 39% 36% 41% 40% 40% 42% 45% 38% 41% 44% 41% 36% 39% 38% 47%

JKLMNo JKmn JKLMNO jK fHJKLMNO K JKmn k K Q vW


- - 1315 1342 1247 1241 1230 1246 1300 1327 1209 1206 1263 1193 1202 629 574 455 388 274 85 299 352 507- - 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?







- - 1033 977 862 875 822 806 888 840 717 833 813 821 799 468 331 297 266 153 84 184 213 372- - 68% 66% 62% 62% 57% 56% 60% 54% 49% 55% 55% 57% 55% 61% 48% 62% 65% 46% 35% 50% 48% 64%

EFGHIJKLMNO GHIJKLMNO GHJKLMNO GHJKLMNO K K hJKLMO K K K K K Q TU TU u VW


- - 747 656 580 581 496 518 583 553 454 525 529 531 501 308 192 187 176 91 47 115 137 229- - 49% 44% 42% 41% 34% 36% 39% 36% 31% 35% 35% 37% 34% 40% 28% 39% 43% 27% 20% 31% 31% 40%

DEFGHIJKLMNO GHIJKLMNO GHJKLMNO GHJKLMnO K GKLmO K k K K Q TU TU VW


- - 394 339 311 298 221 261 312 293 218 257 294 276 276 160 116 103 95 57 20 69 71 121- - 26% 23% 22% 21% 15% 18% 21% 19% 15% 17% 20% 19% 19% 21% 17% 22% 23% 17% 9% 19% 16% 21%

eFGHIJKLMNO GHJKLno GHjKLo GKL gk GKL GK GK GK GK U U U


- - 145 118 117 106 90 94 120 138 106 119 144 122 133 77 56 44 47 27 16 29 37 60- - 10% 8% 8% 8% 6% 6% 8% 9% 7% 8% 10% 9% 9% 10% 8% 9% 11% 8% 7% 8% 8% 10%

GHk g Gh GHk Gh GH

Immediately

- - 248 221 195 192 131 167 192 154 112 138 150 154 143 83 60 59 48 30 5 39 34 61- - 16% 15% 14% 14% 9% 12% 13% 10% 8% 9% 10% 11% 10% 11% 9% 12% 12% 9% 2% 11% 8% 10%

GHIJKLMNO GHJKLMNO GJKLMNO GJKLMnO gKl GJKLmO k k K U U U

1-30 days

- - 353 318 269 283 275 257 271 260 236 267 235 255 225 149 76 85 80 33 27 46 66 108- - 23% 21% 19% 20% 19% 18% 18% 17% 16% 18% 16% 18% 15% 19% 11% 18% 20% 10% 11% 13% 15% 19%

EGHIJKLMNO hJKlMnO kmO jKMO mo Q Tu TU V

2-3 months

- - 286 321 282 294 326 287 305 287 263 308 284 290 298 160 139 109 90 62 37 69 76 143- - 19% 22% 20% 21% 22% 20% 21% 19% 18% 20% 19% 20% 21% 21% 20% 23% 22% 19% 16% 19% 17% 25%

k CJKm u vW

4-6 months

- - 162 184 163 193 183 177 185 239 216 189 210 193 220 98 123 78 46 57 39 51 81 80- - 11% 12% 12% 14% 13% 12% 12% 15% 15% 13% 14% 13% 15% 13% 18% 16% 11% 17% 16% 14% 18% 14%

C CdEghil Ce C c CdEhi P s s

7-11 months

- - 234 254 269 270 339 356 320 332 410 376 341 324 318 139 179 79 74 93 72 85 118 101- - 15% 17% 19% 19% 23% 25% 22% 21% 28% 25% 23% 23% 22% 18% 26% 17% 18% 28% 30% 23% 26% 17%

C C CDEF CDEFj CD CD CDEFGIJMNO CDEFij CDef CDef CD P RS RS x X

A year or longer

- - 91 76 92 70 108 105 91 140 133 108 126 91 115 59 56 23 21 29 42 46 33 26- - 6% 5% 7% 5% 7% 7% 6% 9% 9% 7% 8% 6% 8% 8% 8% 5% 5% 9% 18% 13% 7% 5%

DF dF CDeFIN CDeFIN dF CDFin DF r RST WX

Never again

- - 601 538 463 475 406 425 463 414 348 406 385 409 368 232 136 144 129 64 31 86 100 169- - 40% 36% 33% 34% 28% 29% 31% 27% 24% 27% 26% 29% 25% 30% 20% 30% 32% 19% 13% 23% 23% 29%

EFGHIJKLMNO GHIJKLMNO GhJKLMNO GhJKLMNO K Kmo JKLMO K Q TU TU w


- - 1519 1490 1386 1408 1453 1444 1485 1552 1475 1506 1490 1428 1452 764 688 476 407 331 238 367 446 579- - 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






- - 1239 1209 1155 1140 1080 1070 1119 1057 928 1011 1051 1012 951 483 468 339 292 186 133 237 273 407- - 73% 73% 72% 69% 65% 65% 67% 61% 56% 61% 62% 61% 60% 64% 56% 67% 65% 52% 47% 55% 55% 67%

FGHIJKLMNO FGHIJKLMNO GHIJKLMNO GhJKLMNO jKlO jKlnO JKLMNO K K K K Q TU TU VW


- - 920 866 845 821 718 727 767 710 629 687 723 674 664 354 310 248 210 128 78 164 174 301- - 54% 52% 52% 49% 43% 44% 46% 41% 38% 41% 43% 41% 42% 47% 37% 49% 47% 36% 28% 38% 35% 50%

FGHIJKLMNO GHIJKLMNO GHIJKLMNO GHiJKLMNO K K JKLNo K Q TU TU u VW


- - 500 420 445 408 346 375 393 359 312 334 392 373 351 187 164 138 110 72 31 92 85 155- - 29% 25% 28% 25% 21% 23% 23% 21% 19% 20% 23% 23% 22% 25% 20% 27% 25% 20% 11% 21% 17% 26%

DFGHIJKLMNO GJKLo GHIJKLMNO GJKL K Kl Kl K k q tU U U W


- - 149 115 123 150 109 119 128 131 113 136 151 150 150 70 80 54 45 34 18 38 35 65- - 9% 7% 8% 9% 7% 7% 8% 8% 7% 8% 9% 9% 9% 9% 10% 11% 10% 9% 6% 9% 7% 11%

G dGk G dGk dGhK

Immediately

- - 351 305 322 259 236 255 265 228 198 198 241 224 201 117 84 84 65 39 13 53 50 90- - 21% 18% 20% 16% 14% 15% 16% 13% 12% 12% 14% 14% 13% 15% 10% 17% 15% 11% 5% 12% 10% 15%

FGHIJKLMNO fGhJKLMNO FGHIJKLMNO KLo KLo jKLO Q tU U U w

1-30 days

- - 420 446 400 412 372 352 374 351 318 353 331 301 313 167 146 110 100 56 47 73 89 146- - 25% 27% 25% 25% 22% 21% 22% 20% 19% 21% 20% 18% 20% 22% 17% 22% 22% 16% 17% 17% 18% 24%

hJKlMNO GHIJKLMNO hJKlMNO hJKlMNO N n kN n q t t Vw

2-3 months

- - 319 343 310 319 362 343 352 347 298 324 329 338 286 128 158 91 81 58 55 72 99 106- - 19% 21% 19% 19% 22% 21% 21% 20% 18% 20% 19% 20% 18% 17% 19% 18% 18% 16% 20% 17% 20% 17%

cKO ko

4-6 months

- - 170 170 160 206 225 212 240 263 233 209 226 224 243 117 126 78 70 48 47 60 94 78- - 10% 10% 10% 12% 13% 13% 14% 15% 14% 13% 13% 14% 15% 15% 15% 15% 16% 13% 17% 14% 19% 13%

ce CDE CdE CDE CDEfl CDE ce CDE CDE CDEfl vX

7-11 months

- - 213 216 221 242 272 311 239 304 362 352 303 318 317 119 198 74 70 98 75 100 104 96- - 13% 13% 14% 15% 16% 19% 14% 18% 22% 21% 18% 19% 20% 16% 24% 15% 16% 27% 27% 23% 21% 16%

CDe CDEFI CDEfI CDEFGhIJM CDEFGIJm CDEFI CDEFgI CDEFGI P RS RS X x

A year or longer

- - 75 55 76 70 95 61 75 110 124 88 109 100 84 40 44 18 14 26 27 33 21 26- - 4% 3% 5% 4% 6% 4% 5% 6% 8% 5% 6% 6% 5% 5% 5% 4% 3% 7% 9% 8% 4% 4%

DH CDeFHi CDEFgHILO Dh CDeFHi cDfH Dh rS RS Wx

Never again

- - 771 751 722 671 608 607 639 579 516 551 572 525 514 285 230 194 165 94 60 126 139 236- - 45% 46% 45% 40% 36% 37% 38% 33% 31% 33% 34% 32% 32% 37% 27% 38% 37% 26% 21% 29% 28% 39%

FGHIJKLMNO FGHIJKLMNO FGHIJKLMNO ghJKLMNO KNO KlNO JKLMNO Q TU TU VW


- - 1697 1650 1612 1659 1672 1654 1674 1734 1647 1660 1689 1653 1596 759 836 510 446 358 281 430 493 607- - 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






- - 1270 1170 1163 1150 1114 1073 1083 1049 959 1060 1036 1012 1014 494 520 351 313 208 141 256 286 427- - 73% 69% 71% 69% 65% 63% 63% 59% 56% 62% 61% 61% 61% 64% 60% 70% 69% 56% 44% 56% 56% 69%

DFGHIJKLMNO GHIJKLMNO GHIJKLMNO HIJKLMNO JKlMNo JK JK K K K K TU TU U VW


- - 919 825 837 760 723 749 756 698 605 676 700 701 658 332 326 242 216 123 77 168 190 267- - 53% 49% 51% 45% 42% 44% 44% 39% 35% 39% 41% 42% 40% 43% 37% 48% 48% 33% 24% 37% 38% 43%

DFGHIJKLMNO GHIJKLMNO FGHIJKLMNO JKLmO K JKLo JKLO k k K K K q TU TU U v


- - 482 416 417 404 344 356 375 369 305 359 355 362 335 169 166 127 105 65 38 85 90 131- - 28% 25% 25% 24% 20% 21% 22% 21% 18% 21% 21% 22% 20% 22% 19% 25% 23% 18% 12% 19% 18% 21%

dFGHIJKLMNO GHJKLMO GHiJKLMNO GhjKlmO k K k k K TU U u


- - 146 119 119 139 107 114 127 145 118 146 142 139 147 64 83 46 53 27 22 33 38 64- - 8% 7% 7% 8% 6% 7% 7% 8% 7% 8% 8% 8% 9% 8% 10% 9% 12% 7% 7% 7% 7% 10%

G g g G g g Gh tu

Immediately

- - 336 297 298 266 236 243 248 224 187 213 213 224 187 105 83 81 52 39 16 52 52 68- - 19% 18% 18% 16% 14% 14% 15% 13% 11% 12% 13% 13% 11% 14% 9% 16% 12% 10% 5% 11% 10% 11%

FGHIJKLMNO GHiJKLMNO GHIJKLMNO JKLMO Ko KO KO k Q tU U U

1-30 days

- - 437 410 420 356 379 393 381 329 300 316 346 339 323 163 161 115 111 58 39 82 100 135- - 25% 24% 26% 21% 22% 23% 22% 19% 18% 18% 20% 20% 20% 21% 18% 23% 25% 16% 12% 18% 20% 22%

FgiJKLMNO JKLMNO FgiJKLMNO Kl JKL JKLnO JKL TU TU

2-3 months

- - 351 345 326 390 392 324 327 351 354 385 336 311 356 162 194 109 97 84 65 88 95 160- - 20% 20% 20% 23% 23% 19% 19% 20% 21% 22% 20% 19% 22% 21% 22% 22% 21% 23% 20% 19% 19% 26%

eHIjmN eHIjmN hiN n VW

4-6 months

- - 180 203 190 200 223 237 240 251 262 247 242 253 248 107 141 76 57 56 60 61 96 81- - 10% 12% 12% 12% 13% 14% 14% 14% 15% 14% 14% 15% 15% 14% 16% 15% 13% 15% 19% 13% 19% 13%

c Ce Ce Ce CDEF Cef Ce CDEF CDEF s VX

7-11 months

- - 206 240 221 259 309 313 309 380 389 330 315 327 334 146 188 66 76 90 102 108 116 97- - 12% 14% 13% 15% 18% 18% 18% 21% 23% 19% 19% 20% 20% 19% 22% 13% 17% 24% 32% 24% 23% 16%

C CDEf CDEf CDEf CDEFghi CDEFGHILMn CDEF CDEf CDEF CDEF RS RSt X X

A year or longer

- - 73 76 73 69 62 75 76 99 96 83 103 82 53 28 24 12 6 17 17 30 9 11- - 4% 5% 4% 4% 4% 4% 4% 6% 6% 5% 6% 5% 3% 4% 3% 2% 1% 5% 5% 7% 2% 2%

GO GO o CFGhiO O S rS WX

Never again

- - 773 707 718 622 615 636 629 553 487 530 558 562 511 267 243 196 164 97 55 134 153 203- - 45% 42% 44% 37% 36% 37% 37% 31% 29% 31% 33% 34% 31% 34% 28% 39% 36% 26% 17% 30% 30% 33%

FGHIJKLMNO FGHIJKLMNO FGHIJKLMNO JKLMnO JKLO JKLMnO JKLmO K K Q TU TU U


- - 1729 1689 1647 1678 1708 1699 1708 1778 1706 1720 1697 1673 1649 775 873 505 452 371 321 454 507 615- - 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)






- - 952 885 775 841 749 783 834 778 734 725 818 723 742 422 320 294 237 139 72 198 196 314- - 70% 67% 65% 64% 57% 61% 63% 54% 52% 54% 60% 57% 58% 63% 52% 62% 65% 54% 39% 56% 52% 64%

EFGHIJKLMNO GHJKLMNO GhJKLMNO GJKLNO k JKLn GJKLNO JKL K Q tU TU U vW


- - 732 672 594 612 513 558 598 540 508 503 596 539 510 294 216 201 171 91 47 155 142 190- - 54% 51% 50% 47% 39% 43% 45% 37% 36% 37% 44% 42% 40% 44% 35% 42% 47% 35% 25% 44% 38% 39%

FGHIJKLMNO GHIJKLMNO GHiJKLMNO GJKLnO gJKL GJKLO GJKLo JKL Q U TU


- - 430 424 343 355 293 311 359 324 279 308 325 302 315 185 131 112 111 67 25 97 86 114- - 32% 32% 29% 27% 22% 24% 27% 23% 20% 23% 24% 24% 25% 28% 21% 24% 31% 26% 14% 27% 23% 23%

FGHIJKLMNO FGHIJKLMNO GHJKLMNo GJKL K GJKL k k K Q U rU U


- - 177 140 119 141 121 118 153 143 140 140 155 132 151 86 65 51 54 28 19 51 41 49- - 13% 11% 10% 11% 9% 9% 12% 10% 10% 10% 11% 10% 12% 13% 11% 11% 15% 11% 10% 14% 11% 10%

eGHJkln gh

Immediately

- - 253 285 224 214 172 193 205 181 139 168 170 170 164 98 66 62 57 39 7 46 45 65- - 19% 21% 19% 16% 13% 15% 15% 13% 10% 12% 12% 13% 13% 15% 11% 13% 16% 15% 4% 13% 12% 13%

GHiJKLMNO FGHIJKLMNO GHiJKLMNO gJKLMnO K K jKlm k K k U U U

1-30 days

- - 302 248 250 257 219 247 239 216 229 195 272 237 194 109 85 88 60 24 22 58 56 75- - 22% 19% 21% 20% 17% 19% 18% 15% 16% 14% 20% 19% 15% 16% 14% 19% 16% 9% 12% 17% 15% 15%

dGIJKLnO JLo GJKLO JLO JLO jL gJkLO JLo T t

2-3 months

- - 219 213 181 229 237 225 237 238 225 222 222 184 232 128 104 93 66 48 25 43 54 124- - 16% 16% 15% 17% 18% 17% 18% 17% 16% 16% 16% 14% 18% 19% 17% 20% 18% 18% 13% 12% 14% 25%

n N n n N VW

4-6 months

- - 101 141 107 136 155 125 159 173 192 145 168 159 152 76 77 57 35 25 35 35 45 63- - 7% 11% 9% 10% 12% 10% 12% 12% 14% 11% 12% 12% 12% 11% 13% 12% 10% 10% 19% 10% 12% 13%

C C Ce Ce Ce CdEFHl C CEh CEh Ce rST

7-11 months

- - 189 189 184 187 277 250 217 330 335 331 242 270 263 103 161 84 62 68 50 80 99 72- - 14% 14% 15% 14% 21% 19% 16% 23% 24% 25% 18% 21% 21% 15% 26% 18% 17% 26% 27% 23% 26% 15%

CDEFIm CDEF CDEFhIM CDEFHIM CDEFgHIMno Cdf CDEFIm CDEFI P RS RS X X

A year or longer

- - 121 112 124 146 133 136 115 158 137 148 132 127 126 71 55 40 31 27 29 40 36 44- - 9% 8% 10% 11% 10% 10% 9% 11% 10% 11% 10% 10% 10% 11% 9% 8% 8% 10% 15% 11% 10% 9%

di d d Rs

Never again

- - 555 533 474 470 391 440 444 397 368 363 441 407 358 208 151 150 117 63 29 104 101 141- - 41% 40% 40% 36% 30% 34% 34% 28% 26% 27% 32% 32% 28% 31% 25% 32% 32% 24% 15% 29% 27% 29%

FGHIJKLMNO fGHIJKLMNO GHIJKLMNO GJKLnO gJKLO gJKLO JKLo jKLo Q U U u


- - 1362 1327 1190 1310 1315 1294 1325 1441 1398 1349 1360 1279 1283 671 612 474 364 259 186 352 377 493- - 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






- - 1318 1220 1146 1066 1017 983 988 959 834 964 956 944 935 513 421 334 274 195 131 235 264 397- - 70% 65% 63% 57% 54% 52% 53% 50% 46% 51% 53% 52% 53% 59% 47% 65% 60% 47% 34% 46% 48% 63%

DEFGHIJKLMNO FGHIJKLMNO FGHIJKLMNO gHIJKLMNO jK K K k K K K K Q TU TU U VW


- - 1016 912 858 715 726 710 703 654 579 703 689 658 666 381 285 244 202 130 90 172 181 281- - 54% 49% 47% 38% 38% 38% 37% 34% 32% 37% 38% 36% 38% 44% 32% 48% 44% 31% 23% 34% 33% 45%

DEFGHIJKLMNO FGHIJKLMNO FGHIJKLMNO JK JK jK jK K jK K jK Q TU TU u VW


- - 592 511 481 407 400 407 401 394 376 376 401 389 399 227 172 139 119 89 52 107 102 163- - 31% 27% 26% 22% 21% 22% 21% 21% 21% 20% 22% 21% 23% 26% 19% 27% 26% 21% 14% 21% 19% 26%

DEFGHIJKLMNO FGHIJKLMNO FGHIJKLMNO Q U U U W


- - 200 190 176 176 149 162 156 165 185 210 206 188 215 119 96 61 63 62 30 59 54 87- - 11% 10% 10% 9% 8% 9% 8% 9% 10% 11% 11% 10% 12% 14% 11% 12% 14% 15% 8% 11% 10% 14%

Ghij g g GHIJ GHIJ Gi eFGHIJ U U

Immediately

- - 393 322 305 231 250 245 246 230 191 166 195 201 183 107 76 78 56 27 22 49 48 76- - 21% 17% 17% 12% 13% 13% 13% 12% 11% 9% 11% 11% 10% 12% 8% 15% 12% 7% 6% 9% 9% 12%

DEFGHIJKLMNO FGHIJKLMNO FGHIJKLMNO L KLmO kLmO kLmO L l Q TU TU

1-30 days

- - 424 401 377 308 327 302 302 260 203 328 287 269 267 155 113 106 83 41 38 64 79 118- - 22% 21% 21% 17% 17% 16% 16% 14% 11% 17% 16% 15% 15% 18% 13% 21% 18% 10% 10% 13% 14% 19%

FGHIJKLMNO FGHIJKLMNO FGHIJKLMNO JK JK jK jK k JKn K K K Q TU TU V

2-3 months

- - 302 307 289 351 291 273 285 304 255 260 267 286 269 132 136 89 72 66 41 63 83 117- - 16% 16% 16% 19% 15% 14% 15% 16% 14% 14% 15% 16% 15% 15% 15% 17% 16% 16% 11% 12% 15% 19%

l ceGHIjKLMNO U u V

4-6 months

- - 162 171 142 158 159 186 176 185 232 174 201 178 177 77 99 61 48 40 29 52 59 54- - 9% 9% 8% 8% 8% 10% 9% 10% 13% 9% 11% 10% 10% 9% 11% 12% 10% 10% 7% 10% 11% 9%

e CDEFGHIJLNO CEFG e e u

7-11 months

- - 213 239 286 284 333 341 356 361 368 423 322 363 352 158 194 80 81 82 108 116 119 96- - 11% 13% 16% 15% 18% 18% 19% 19% 20% 22% 18% 20% 20% 18% 22% 16% 18% 20% 28% 23% 22% 15%

CD Cd CD CDf CDEF CDEF CDEF CDEFGHIJM CD CDEF CDEF RST X X

A year or longer

- - 195 239 245 351 388 376 359 417 383 331 336 329 309 122 187 39 56 98 116 109 105 81- - 10% 13% 13% 19% 20% 20% 19% 22% 21% 18% 19% 18% 17% 14% 21% 8% 12% 24% 30% 21% 19% 13%

c C CDE CDElo CDE CDE CDEfLmNO CDELnO CDE CDE CDE CDE P r RS RS X X

Never again

- - 816 723 681 539 577 548 547 490 394 493 483 470 451 262 189 184 139 68 60 113 127 194- - 43% 39% 37% 29% 30% 29% 29% 25% 22% 26% 27% 26% 25% 30% 21% 36% 30% 16% 16% 22% 23% 31%

DEFGHIJKLMNO FGHIJKLMNO FGHIJKLMNO jKno JKLMNO JKnO JKlnO K K K K K Q TU TU VW


- - 1888 1869 1820 1858 1897 1886 1879 1922 1817 1892 1815 1814 1772 871 902 514 459 416 384 511 547 629- - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 268NAM04 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?

Summary Of Confident






- - - - - - - - - - 1586 - - - 1566 750 816 401 412 392 362 455 473 550- - - - - - - - - - 81% - - - 80% 80% 79% 70% 81% 85% 87% 76% 81% 82%

R R Rs V V

Healthcare(Doctors/Nurses/Hospital)

- - - - - - - - - - 1519 - - - 1501 733 768 379 403 361 357 431 449 542- - - - - - - - - - 77% - - - 76% 79% 75% 66% 79% 78% 86% 72% 77% 81%

q R R RST v V

Pharmaceutical/drugs

- - - - - - - - - - 1462 - - - 1500 699 801 375 392 371 361 438 454 527- - - - - - - - - - 75% - - - 76% 75% 78% 65% 77% 80% 86% 73% 78% 79%

R R RSt v v

Retail - grocery

- - - - - - - - - - 1515 - - - 1494 720 774 397 388 361 348 421 443 546- - - - - - - - - - 77% - - - 76% 77% 75% 69% 76% 78% 83% 70% 76% 82%

R R RS V Vw

Technology

- - - - - - - - - - 1538 - - - 1485 709 776 372 383 376 353 432 446 524- - - - - - - - - - 78% - - - 76% 76% 75% 65% 75% 81% 85% 72% 77% 78%

R Rs RS v V

Energy and Utilities

- - - - - - - - - - 1397 - - - 1416 698 718 358 381 361 316 398 418 522- - - - - - - - - - 71% - - - 72% 75% 70% 62% 75% 78% 76% 66% 72% 78%

Q R R R v Vw

Financial services

- - - - - - - - - - 1363 - - - 1404 675 728 364 374 359 306 392 428 507- - - - - - - - - - 69% - - - 72% 72% 71% 63% 74% 78% 73% 65% 74% 76%

R R R V V

Automotive

- - - - - - - - - - 1282 - - - 1368 670 698 360 371 337 299 387 402 506- - - - - - - - - - 65% - - - 70% 72% 68% 63% 73% 73% 72% 65% 69% 76%

K R R R Vw

Food & Beverage

- - - - - - - - - - 1334 - - - 1350 638 712 340 364 343 304 378 389 507- - - - - - - - - - 68% - - - 69% 68% 69% 59% 72% 74% 73% 63% 67% 76%

R R R VW

Oil

- - - - - - - - - - 1245 - - - 1344 650 694 352 355 326 311 383 391 496- - - - - - - - - - 63% - - - 68% 70% 67% 61% 70% 70% 74% 64% 67% 74%

K R R R VW

Small Businesses

- - - - - - - - - - 1314 - - - 1313 629 684 334 351 334 295 374 387 477- - - - - - - - - - 67% - - - 67% 67% 66% 58% 69% 72% 71% 62% 67% 71%

R R R V

Manufacturing

- - - - - - - - - - 1239 - - - 1291 641 650 328 366 316 281 354 380 496- - - - - - - - - - 63% - - - 66% 69% 63% 57% 72% 68% 67% 59% 65% 74%

Q R R R V VW

Real estate

- - - - - - - - - - 1155 - - - 1267 621 646 347 342 305 273 364 372 469- - - - - - - - - - 59% - - - 65% 67% 63% 60% 67% 66% 65% 61% 64% 70%

K r Vw

Retail

- - - - - - - - - - 1224 - - - 1259 591 668 304 339 334 282 348 380 457- - - - - - - - - - 62% - - - 64% 63% 65% 53% 67% 72% 68% 58% 65% 68%

R R R V V

Non-profits









-** -** -** -** -** -** -** -** -** -** 1961 -** -** -** 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - - - - - - - - - 1233 - - - 1258 621 637 354 352 299 253 356 377 472- - - - - - - - - - 63% - - - 64% 67% 62% 62% 69% 65% 60% 59% 65% 71%

q RU v V

Media

- - - - - - - - - - 1110 - - - 1180 572 608 329 319 286 247 328 336 455- - - - - - - - - - 57% - - - 60% 61% 59% 57% 63% 62% 59% 55% 58% 68%

k VW

Restaurants

- - - - - - - - - - 965 - - - 1029 538 490 321 309 229 171 296 282 393- - - - - - - - - - 49% - - - 52% 58% 48% 56% 61% 49% 41% 49% 49% 59%

Q U TU U VW

Entertainment

- - - - - - - - - - 818 - - - 957 505 452 310 281 216 150 263 248 395- - - - - - - - - - 42% - - - 49% 54% 44% 54% 55% 47% 36% 44% 43% 59%

K Q tU TU U VW

Travel and hospitality(hotels, cruise lines)

- - - - - - - - - - 817 - - - 869 450 419 282 249 188 150 212 252 353- - - - - - - - - - 42% - - - 44% 48% 41% 49% 49% 41% 36% 35% 43% 53%

Q TU TU V VW

Airlines




Summary Of Not Confident






- - - - - - - - - - 1144 - - - 1094 482 612 292 260 274 268 387 329 316- - - - - - - - - - 58% - - - 56% 52% 59% 51% 51% 59% 64% 65% 57% 47%

P RS RS WX X

Airlines

- - - - - - - - - - 1143 - - - 1006 428 578 264 227 246 268 337 333 274- - - - - - - - - - 58% - - - 51% 46% 56% 46% 45% 53% 64% 56% 57% 41%

O P rS RST X X


- - - - - - - - - - 996 - - - 934 394 540 254 200 234 247 303 299 276- - - - - - - - - - 51% - - - 48% 42% 52% 44% 39% 51% 59% 51% 51% 41%

P S RST X X

Entertainment

- - - - - - - - - - 851 - - - 783 360 422 246 190 176 171 272 245 214- - - - - - - - - - 43% - - - 40% 39% 41% 43% 37% 38% 41% 45% 42% 32%

o X X

Restaurants

- - - - - - - - - - 728 - - - 705 311 394 221 156 163 165 244 203 196- - - - - - - - - - 37% - - - 36% 33% 38% 38% 31% 35% 40% 41% 35% 29%

p S S wX

Media

- - - - - - - - - - 737 - - - 704 341 363 270 169 128 135 251 201 212- - - - - - - - - - 38% - - - 36% 37% 35% 47% 33% 28% 32% 42% 35% 32%

STU WX

Non-profits

- - - - - - - - - - 806 - - - 696 312 384 228 166 157 145 236 208 199- - - - - - - - - - 41% - - - 35% 33% 37% 40% 33% 34% 35% 39% 36% 30%

O s X x

Retail

- - - - - - - - - - 722 - - - 672 291 380 247 143 146 136 246 201 173- - - - - - - - - - 37% - - - 34% 31% 37% 43% 28% 32% 33% 41% 35% 26%

P STU WX X

Real estate

- - - - - - - - - - 647 - - - 650 304 346 241 158 129 123 226 194 191- - - - - - - - - - 33% - - - 33% 33% 34% 42% 31% 28% 29% 38% 33% 29%

STU X

Manufacturing

- - - - - - - - - - 716 - - - 619 282 337 223 153 136 107 217 189 172- - - - - - - - - - 37% - - - 32% 30% 33% 39% 30% 30% 26% 36% 33% 26%

O STU X X

Small Businesses

- - - - - - - - - - 627 - - - 613 295 318 235 145 119 114 221 192 161- - - - - - - - - - 32% - - - 31% 32% 31% 41% 28% 26% 27% 37% 33% 24%

STU X X

Oil

- - - - - - - - - - 679 - - - 595 262 333 215 137 125 119 213 179 163- - - - - - - - - - 35% - - - 30% 28% 32% 37% 27% 27% 28% 35% 31% 24%

O STU X x

Food & Beverage

- - - - - - - - - - 598 - - - 559 257 302 210 134 103 112 208 152 162- - - - - - - - - - 31% - - - 28% 28% 29% 37% 26% 22% 27% 35% 26% 24%

STU WX

Automotive

- - - - - - - - - - 564 - - - 547 235 312 217 127 101 102 202 163 146- - - - - - - - - - 29% - - - 28% 25% 30% 38% 25% 22% 24% 34% 28% 22%

P STU wX x

Financial services









-** -** -** -** -** -** -** -** -** -** 1961 -** -** -** 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - - - - - - - - - 423 - - - 478 223 255 203 125 86 65 168 135 145- - - - - - - - - - 22% - - - 24% 24% 25% 35% 25% 19% 15% 28% 23% 22%

STU tU wX


- - - - - - - - - - 446 - - - 469 213 256 178 120 101 70 179 138 122- - - - - - - - - - 23% - - - 24% 23% 25% 31% 24% 22% 17% 30% 24% 18%

STU U WX x

Technology

- - - - - - - - - - 499 - - - 463 233 230 199 117 91 56 161 127 141- - - - - - - - - - 25% - - - 24% 25% 22% 35% 23% 20% 14% 27% 22% 21%

STU U u wx

Retail - grocery

- - - - - - - - - - 442 - - - 462 200 262 195 105 101 60 168 131 127- - - - - - - - - - 23% - - - 24% 21% 25% 34% 21% 22% 14% 28% 23% 19%

p STU U U wX


- - - - - - - - - - 375 - - - 397 182 214 174 97 71 56 145 108 118- - - - - - - - - - 19% - - - 20% 20% 21% 30% 19% 15% 13% 24% 19% 18%

STU u WX




19 Jun 2020Table 270NAM04_1 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?

Financial services






- - - - - - - - - - 1397 - - - 1416 698 718 358 381 361 316 398 418 522- - - - - - - - - - 71% - - - 72% 75% 70% 62% 75% 78% 76% 66% 72% 78%

Q R R R v Vw

Confident

- - - - - - - - - - 564 - - - 547 235 312 217 127 101 102 202 163 146- - - - - - - - - - 29% - - - 28% 25% 30% 38% 25% 22% 24% 34% 28% 22%

P STU wX x

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail






- - - - - - - - - - 1155 - - - 1267 621 646 347 342 305 273 364 372 469- - - - - - - - - - 59% - - - 65% 67% 63% 60% 67% 66% 65% 61% 64% 70%

K r Vw

Confident

- - - - - - - - - - 806 - - - 696 312 384 228 166 157 145 236 208 199- - - - - - - - - - 41% - - - 35% 33% 37% 40% 33% 34% 35% 39% 36% 30%

O s X x

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Technology






- - - - - - - - - - 1515 - - - 1494 720 774 397 388 361 348 421 443 546- - - - - - - - - - 77% - - - 76% 77% 75% 69% 76% 78% 83% 70% 76% 82%

R R RS V Vw

Confident

- - - - - - - - - - 446 - - - 469 213 256 178 120 101 70 179 138 122- - - - - - - - - - 23% - - - 24% 23% 25% 31% 24% 22% 17% 30% 24% 18%

STU U WX x

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Media






- - - - - - - - - - 1233 - - - 1258 621 637 354 352 299 253 356 377 472- - - - - - - - - - 63% - - - 64% 67% 62% 62% 69% 65% 60% 59% 65% 71%

q RU v V

Confident

- - - - - - - - - - 728 - - - 705 311 394 221 156 163 165 244 203 196- - - - - - - - - - 37% - - - 36% 33% 38% 38% 31% 35% 40% 41% 35% 29%

p S S wX

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Automotive






- - - - - - - - - - 1363 - - - 1404 675 728 364 374 359 306 392 428 507- - - - - - - - - - 69% - - - 72% 72% 71% 63% 74% 78% 73% 65% 74% 76%

R R R V V

Confident

- - - - - - - - - - 598 - - - 559 257 302 210 134 103 112 208 152 162- - - - - - - - - - 31% - - - 28% 28% 29% 37% 26% 22% 27% 35% 26% 24%

STU WX

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Healthcare (Doctors/Nurses/Hospital)






- - - - - - - - - - 1586 - - - 1566 750 816 401 412 392 362 455 473 550- - - - - - - - - - 81% - - - 80% 80% 79% 70% 81% 85% 87% 76% 81% 82%

R R Rs V V

Confident

- - - - - - - - - - 375 - - - 397 182 214 174 97 71 56 145 108 118- - - - - - - - - - 19% - - - 20% 20% 21% 30% 19% 15% 13% 24% 19% 18%

STU u WX

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Food & Beverage






- - - - - - - - - - 1282 - - - 1368 670 698 360 371 337 299 387 402 506- - - - - - - - - - 65% - - - 70% 72% 68% 63% 73% 73% 72% 65% 69% 76%

K R R R Vw

Confident

- - - - - - - - - - 679 - - - 595 262 333 215 137 125 119 213 179 163- - - - - - - - - - 35% - - - 30% 28% 32% 37% 27% 27% 28% 35% 31% 24%

O STU X x

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Entertainment






- - - - - - - - - - 965 - - - 1029 538 490 321 309 229 171 296 282 393- - - - - - - - - - 49% - - - 52% 58% 48% 56% 61% 49% 41% 49% 49% 59%

Q U TU U VW

Confident

- - - - - - - - - - 996 - - - 934 394 540 254 200 234 247 303 299 276- - - - - - - - - - 51% - - - 48% 42% 52% 44% 39% 51% 59% 51% 51% 41%

P S RST X X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Travel and hospitality (hotels, cruise lines)






- - - - - - - - - - 818 - - - 957 505 452 310 281 216 150 263 248 395- - - - - - - - - - 42% - - - 49% 54% 44% 54% 55% 47% 36% 44% 43% 59%

K Q tU TU U VW

Confident

- - - - - - - - - - 1143 - - - 1006 428 578 264 227 246 268 337 333 274- - - - - - - - - - 58% - - - 51% 46% 56% 46% 45% 53% 64% 56% 57% 41%

O P rS RST X X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Airlines






- - - - - - - - - - 817 - - - 869 450 419 282 249 188 150 212 252 353- - - - - - - - - - 42% - - - 44% 48% 41% 49% 49% 41% 36% 35% 43% 53%

Q TU TU V VW

Confident

- - - - - - - - - - 1144 - - - 1094 482 612 292 260 274 268 387 329 316- - - - - - - - - - 58% - - - 56% 52% 59% 51% 51% 59% 64% 65% 57% 47%

P RS RS WX X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Non-profits






- - - - - - - - - - 1224 - - - 1259 591 668 304 339 334 282 348 380 457- - - - - - - - - - 62% - - - 64% 63% 65% 53% 67% 72% 68% 58% 65% 68%

R R R V V

Confident

- - - - - - - - - - 737 - - - 704 341 363 270 169 128 135 251 201 212- - - - - - - - - - 38% - - - 36% 37% 35% 47% 33% 28% 32% 42% 35% 32%

STU WX

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Real estate






- - - - - - - - - - 1239 - - - 1291 641 650 328 366 316 281 354 380 496- - - - - - - - - - 63% - - - 66% 69% 63% 57% 72% 68% 67% 59% 65% 74%

Q R R R V VW

Confident

- - - - - - - - - - 722 - - - 672 291 380 247 143 146 136 246 201 173- - - - - - - - - - 37% - - - 34% 31% 37% 43% 28% 32% 33% 41% 35% 26%

P STU WX X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail - grocery






- - - - - - - - - - 1462 - - - 1500 699 801 375 392 371 361 438 454 527- - - - - - - - - - 75% - - - 76% 75% 78% 65% 77% 80% 86% 73% 78% 79%

R R RSt v v

Confident

- - - - - - - - - - 499 - - - 463 233 230 199 117 91 56 161 127 141- - - - - - - - - - 25% - - - 24% 25% 22% 35% 23% 20% 14% 27% 22% 21%

STU U u wx

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - 1519 - - - 1501 733 768 379 403 361 357 431 449 542- - - - - - - - - - 77% - - - 76% 79% 75% 66% 79% 78% 86% 72% 77% 81%

q R R RST v V

Confident

- - - - - - - - - - 442 - - - 462 200 262 195 105 101 60 168 131 127- - - - - - - - - - 23% - - - 24% 21% 25% 34% 21% 22% 14% 28% 23% 19%

p STU U U wX

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Oil






- - - - - - - - - - 1334 - - - 1350 638 712 340 364 343 304 378 389 507- - - - - - - - - - 68% - - - 69% 68% 69% 59% 72% 74% 73% 63% 67% 76%

R R R VW

Confident

- - - - - - - - - - 627 - - - 613 295 318 235 145 119 114 221 192 161- - - - - - - - - - 32% - - - 31% 32% 31% 41% 28% 26% 27% 37% 33% 24%

STU X X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Restaurants






- - - - - - - - - - 1110 - - - 1180 572 608 329 319 286 247 328 336 455- - - - - - - - - - 57% - - - 60% 61% 59% 57% 63% 62% 59% 55% 58% 68%

k VW

Confident

- - - - - - - - - - 851 - - - 783 360 422 246 190 176 171 272 245 214- - - - - - - - - - 43% - - - 40% 39% 41% 43% 37% 38% 41% 45% 42% 32%

o X X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Manufacturing






- - - - - - - - - - 1314 - - - 1313 629 684 334 351 334 295 374 387 477- - - - - - - - - - 67% - - - 67% 67% 66% 58% 69% 72% 71% 62% 67% 71%

R R R V

Confident

- - - - - - - - - - 647 - - - 650 304 346 241 158 129 123 226 194 191- - - - - - - - - - 33% - - - 33% 33% 34% 42% 31% 28% 29% 38% 33% 29%

STU X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Small Businesses






- - - - - - - - - - 1245 - - - 1344 650 694 352 355 326 311 383 391 496- - - - - - - - - - 63% - - - 68% 70% 67% 61% 70% 70% 74% 64% 67% 74%

K R R R VW

Confident

- - - - - - - - - - 716 - - - 619 282 337 223 153 136 107 217 189 172- - - - - - - - - - 37% - - - 32% 30% 33% 39% 30% 30% 26% 36% 33% 26%

O STU X X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - 1538 - - - 1485 709 776 372 383 376 353 432 446 524- - - - - - - - - - 78% - - - 76% 76% 75% 65% 75% 81% 85% 72% 77% 78%

R Rs RS v V

Confident

- - - - - - - - - - 423 - - - 478 223 255 203 125 86 65 168 135 145- - - - - - - - - - 22% - - - 24% 24% 25% 35% 25% 19% 15% 28% 23% 22%

STU tU wX

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 289NAM05 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?







- - - - - - - - - - 1497 - - - 1476 704 772 368 385 370 352 433 443 522- - - - - - - - - - 76% - - - 75% 76% 75% 64% 76% 80% 84% 72% 76% 78%

R R RS v


- - - - - - - - - - 1487 - - - 1471 720 751 356 402 367 346 440 447 504- - - - - - - - - - 76% - - - 75% 77% 73% 62% 79% 79% 83% 73% 77% 75%

q R R R


- - - - - - - - - - 1488 - - - 1457 704 754 363 389 368 336 423 426 533- - - - - - - - - - 76% - - - 74% 75% 73% 63% 77% 80% 81% 71% 73% 80%

R R R VW


- - - - - - - - - - 1446 - - - 1447 701 746 383 374 349 341 409 430 523- - - - - - - - - - 74% - - - 74% 75% 72% 67% 73% 75% 82% 68% 74% 78%

r R RSt V V

Technology

- - - - - - - - - - 1389 - - - 1433 694 740 355 380 356 342 411 426 510- - - - - - - - - - 71% - - - 73% 74% 72% 62% 75% 77% 82% 69% 73% 76%

R R RS V

Retail - grocery

- - - - - - - - - - 1405 - - - 1375 686 689 341 375 354 306 388 408 506- - - - - - - - - - 72% - - - 70% 74% 67% 59% 74% 77% 73% 65% 70% 76%

Q R R R v V

Financial services

- - - - - - - - - - 1207 - - - 1364 666 698 349 363 335 318 394 398 495- - - - - - - - - - 62% - - - 69% 71% 68% 61% 71% 72% 76% 66% 69% 74%

K R R R V

Small Businesses

- - - - - - - - - - 1282 - - - 1350 653 697 335 357 354 304 382 410 482- - - - - - - - - - 65% - - - 69% 70% 68% 58% 70% 77% 73% 64% 71% 72%

k R Rs R V V

Automotive

- - - - - - - - - - 1292 - - - 1341 651 690 355 359 343 284 376 401 494- - - - - - - - - - 66% - - - 68% 70% 67% 62% 71% 74% 68% 63% 69% 74%

R R V V

Oil

- - - - - - - - - - 1244 - - - 1308 649 659 336 363 333 275 367 372 491- - - - - - - - - - 63% - - - 67% 70% 64% 59% 71% 72% 66% 61% 64% 73%

Q R R r VW

Manufacturing

- - - - - - - - - - 1231 - - - 1305 649 657 337 361 333 274 355 385 499- - - - - - - - - - 63% - - - 67% 70% 64% 59% 71% 72% 66% 59% 66% 75%

k Q R R r V VW

Real estate

- - - - - - - - - - 1207 - - - 1275 624 651 327 337 319 292 378 384 438- - - - - - - - - - 62% - - - 65% 67% 63% 57% 66% 69% 70% 63% 66% 66%

k R R R

Food & Beverage

- - - - - - - - - - 1266 - - - 1263 606 657 313 354 326 269 358 392 437- - - - - - - - - - 65% - - - 64% 65% 64% 54% 70% 71% 64% 60% 68% 65%

R R R V

Non-profits

- - - - - - - - - - 1119 - - - 1262 629 633 335 337 314 276 355 372 469- - - - - - - - - - 57% - - - 64% 67% 61% 58% 66% 68% 66% 59% 64% 70%

K Q R R R Vw

Retail









-** -** -** -** -** -** -** -** -** -** 1961 -** -** -** 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - - - - - - - - - 1245 - - - 1225 588 637 312 349 290 274 359 367 441- - - - - - - - - - 63% - - - 62% 63% 62% 54% 69% 63% 66% 60% 63% 66%

R R R v

Media

- - - - - - - - - - 1038 - - - 1117 542 575 302 299 283 233 323 320 411- - - - - - - - - - 53% - - - 57% 58% 56% 53% 59% 61% 56% 54% 55% 61%

k r R Vw

Restaurants

- - - - - - - - - - 974 - - - 1076 545 530 314 320 249 192 319 297 403- - - - - - - - - - 50% - - - 55% 58% 51% 55% 63% 54% 46% 53% 51% 60%

K Q U RTU u VW

Entertainment

- - - - - - - - - - 868 - - - 943 472 470 304 296 185 158 258 269 370- - - - - - - - - - 44% - - - 48% 51% 46% 53% 58% 40% 38% 43% 46% 55%

k q TU TU VW


- - - - - - - - - - 847 - - - 896 457 439 256 275 207 158 239 258 350- - - - - - - - - - 43% - - - 46% 49% 43% 44% 54% 45% 38% 40% 45% 52%

Q u RTU VW

Airlines










- - - - - - - - - - 1114 - - - 1067 476 591 319 233 255 259 361 322 318- - - - - - - - - - 57% - - - 54% 51% 57% 56% 46% 55% 62% 60% 55% 48%

P S S rS X X

Airlines

- - - - - - - - - - 1093 - - - 1020 460 560 271 213 277 260 342 312 299- - - - - - - - - - 56% - - - 52% 49% 54% 47% 42% 60% 62% 57% 54% 45%

o p RS RS X X


- - - - - - - - - - 987 - - - 887 387 500 260 188 213 226 281 283 265- - - - - - - - - - 50% - - - 45% 42% 49% 45% 37% 46% 54% 47% 49% 40%

O P S S RSt X X

Entertainment

- - - - - - - - - - 923 - - - 846 390 455 272 209 179 185 277 261 258- - - - - - - - - - 47% - - - 43% 42% 44% 47% 41% 39% 44% 46% 45% 39%

o sT X x

Restaurants

- - - - - - - - - - 716 - - - 738 344 394 262 159 173 144 241 213 228- - - - - - - - - - 37% - - - 38% 37% 38% 46% 31% 37% 34% 40% 37% 34%

STU x

Media

- - - - - - - - - - 842 - - - 701 304 397 239 172 148 142 245 209 199- - - - - - - - - - 43% - - - 36% 33% 39% 42% 34% 32% 34% 41% 36% 30%

O P STU X x

Retail

- - - - - - - - - - 695 - - - 700 327 373 262 154 136 148 242 189 231- - - - - - - - - - 35% - - - 36% 35% 36% 46% 30% 29% 36% 40% 32% 35%

STU W

Non-profits

- - - - - - - - - - 754 - - - 688 308 379 248 171 143 126 222 196 230- - - - - - - - - - 38% - - - 35% 33% 37% 43% 34% 31% 30% 37% 34% 34%

o STU

Food & Beverage

- - - - - - - - - - 730 - - - 658 284 374 237 147 129 144 245 196 170- - - - - - - - - - 37% - - - 33% 30% 36% 41% 29% 28% 34% 41% 34% 25%

o P STu WX X

Real estate

- - - - - - - - - - 717 - - - 655 284 372 238 145 129 142 232 209 177- - - - - - - - - - 37% - - - 33% 30% 36% 41% 29% 28% 34% 39% 36% 27%

P STu X X

Manufacturing

- - - - - - - - - - 669 - - - 622 282 340 220 149 120 134 223 179 175- - - - - - - - - - 34% - - - 32% 30% 33% 38% 29% 26% 32% 37% 31% 26%

ST WX

Oil

- - - - - - - - - - 679 - - - 613 279 334 240 151 108 114 218 171 187- - - - - - - - - - 35% - - - 31% 30% 32% 42% 30% 23% 27% 36% 29% 28%

o STU t WX

Automotive

- - - - - - - - - - 754 - - - 599 266 332 226 145 128 100 205 183 174- - - - - - - - - - 38% - - - 31% 29% 32% 39% 29% 28% 24% 34% 31% 26%

O STU X

Small Businesses

- - - - - - - - - - 556 - - - 588 246 342 234 133 109 112 212 172 162- - - - - - - - - - 28% - - - 30% 26% 33% 41% 26% 23% 27% 35% 30% 24%

P STU wX

Financial services









-** -** -** -** -** -** -** -** -** -** 1961 -** -** -** 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - - - - - - - - - 572 - - - 530 239 291 220 128 106 75 188 155 158- - - - - - - - - - 29% - - - 27% 26% 28% 38% 25% 23% 18% 31% 27% 24%

STU U X

Retail - grocery

- - - - - - - - - - 515 - - - 516 232 285 191 135 114 77 191 151 145- - - - - - - - - - 26% - - - 26% 25% 28% 33% 27% 25% 18% 32% 26% 22%

sTU U u WX

Technology

- - - - - - - - - - 473 - - - 506 229 277 212 119 94 81 177 154 136- - - - - - - - - - 24% - - - 26% 25% 27% 37% 23% 20% 19% 29% 27% 20%

STU X X


- - - - - - - - - - 474 - - - 492 213 280 218 106 96 72 160 134 165- - - - - - - - - - 24% - - - 25% 23% 27% 38% 21% 21% 17% 27% 23% 25%

p STU


- - - - - - - - - - 464 - - - 487 228 259 206 123 92 66 166 138 146- - - - - - - - - - 24% - - - 25% 24% 25% 36% 24% 20% 16% 28% 24% 22%

STU U x




19 Jun 2020Table 291NAM05_1 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?

Financial services






- - - - - - - - - - 1405 - - - 1375 686 689 341 375 354 306 388 408 506- - - - - - - - - - 72% - - - 70% 74% 67% 59% 74% 77% 73% 65% 70% 76%

Q R R R v V

Confident

- - - - - - - - - - 556 - - - 588 246 342 234 133 109 112 212 172 162- - - - - - - - - - 28% - - - 30% 26% 33% 41% 26% 23% 27% 35% 30% 24%

P STU wX

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail






- - - - - - - - - - 1119 - - - 1262 629 633 335 337 314 276 355 372 469- - - - - - - - - - 57% - - - 64% 67% 61% 58% 66% 68% 66% 59% 64% 70%

K Q R R R Vw

Confident

- - - - - - - - - - 842 - - - 701 304 397 239 172 148 142 245 209 199- - - - - - - - - - 43% - - - 36% 33% 39% 42% 34% 32% 34% 41% 36% 30%

O P STU X x

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Technology






- - - - - - - - - - 1446 - - - 1447 701 746 383 374 349 341 409 430 523- - - - - - - - - - 74% - - - 74% 75% 72% 67% 73% 75% 82% 68% 74% 78%

r R RSt V V

Confident

- - - - - - - - - - 515 - - - 516 232 285 191 135 114 77 191 151 145- - - - - - - - - - 26% - - - 26% 25% 28% 33% 27% 25% 18% 32% 26% 22%

sTU U u WX

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Media






- - - - - - - - - - 1245 - - - 1225 588 637 312 349 290 274 359 367 441- - - - - - - - - - 63% - - - 62% 63% 62% 54% 69% 63% 66% 60% 63% 66%

R R R v

Confident

- - - - - - - - - - 716 - - - 738 344 394 262 159 173 144 241 213 228- - - - - - - - - - 37% - - - 38% 37% 38% 46% 31% 37% 34% 40% 37% 34%

STU x

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Automotive






- - - - - - - - - - 1282 - - - 1350 653 697 335 357 354 304 382 410 482- - - - - - - - - - 65% - - - 69% 70% 68% 58% 70% 77% 73% 64% 71% 72%

k R Rs R V V

Confident

- - - - - - - - - - 679 - - - 613 279 334 240 151 108 114 218 171 187- - - - - - - - - - 35% - - - 31% 30% 32% 42% 30% 23% 27% 36% 29% 28%

o STU t WX

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - 1497 - - - 1476 704 772 368 385 370 352 433 443 522- - - - - - - - - - 76% - - - 75% 76% 75% 64% 76% 80% 84% 72% 76% 78%

R R RS v

Confident

- - - - - - - - - - 464 - - - 487 228 259 206 123 92 66 166 138 146- - - - - - - - - - 24% - - - 25% 24% 25% 36% 24% 20% 16% 28% 24% 22%

STU U x

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Food & Beverage






- - - - - - - - - - 1207 - - - 1275 624 651 327 337 319 292 378 384 438- - - - - - - - - - 62% - - - 65% 67% 63% 57% 66% 69% 70% 63% 66% 66%

k R R R

Confident

- - - - - - - - - - 754 - - - 688 308 379 248 171 143 126 222 196 230- - - - - - - - - - 38% - - - 35% 33% 37% 43% 34% 31% 30% 37% 34% 34%

o STU

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Entertainment






- - - - - - - - - - 974 - - - 1076 545 530 314 320 249 192 319 297 403- - - - - - - - - - 50% - - - 55% 58% 51% 55% 63% 54% 46% 53% 51% 60%

K Q U RTU u VW

Confident

- - - - - - - - - - 987 - - - 887 387 500 260 188 213 226 281 283 265- - - - - - - - - - 50% - - - 45% 42% 49% 45% 37% 46% 54% 47% 49% 40%

O P S S RSt X X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - 868 - - - 943 472 470 304 296 185 158 258 269 370- - - - - - - - - - 44% - - - 48% 51% 46% 53% 58% 40% 38% 43% 46% 55%

k q TU TU VW

Confident

- - - - - - - - - - 1093 - - - 1020 460 560 271 213 277 260 342 312 299- - - - - - - - - - 56% - - - 52% 49% 54% 47% 42% 60% 62% 57% 54% 45%

o p RS RS X X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Airlines






- - - - - - - - - - 847 - - - 896 457 439 256 275 207 158 239 258 350- - - - - - - - - - 43% - - - 46% 49% 43% 44% 54% 45% 38% 40% 45% 52%

Q u RTU VW

Confident

- - - - - - - - - - 1114 - - - 1067 476 591 319 233 255 259 361 322 318- - - - - - - - - - 57% - - - 54% 51% 57% 56% 46% 55% 62% 60% 55% 48%

P S S rS X X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Non-profits






- - - - - - - - - - 1266 - - - 1263 606 657 313 354 326 269 358 392 437- - - - - - - - - - 65% - - - 64% 65% 64% 54% 70% 71% 64% 60% 68% 65%

R R R V

Confident

- - - - - - - - - - 695 - - - 700 327 373 262 154 136 148 242 189 231- - - - - - - - - - 35% - - - 36% 35% 36% 46% 30% 29% 36% 40% 32% 35%

STU W

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Real estate






- - - - - - - - - - 1231 - - - 1305 649 657 337 361 333 274 355 385 499- - - - - - - - - - 63% - - - 67% 70% 64% 59% 71% 72% 66% 59% 66% 75%

k Q R R r V VW

Confident

- - - - - - - - - - 730 - - - 658 284 374 237 147 129 144 245 196 170- - - - - - - - - - 37% - - - 33% 30% 36% 41% 29% 28% 34% 41% 34% 25%

o P STu WX X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail - grocery






- - - - - - - - - - 1389 - - - 1433 694 740 355 380 356 342 411 426 510- - - - - - - - - - 71% - - - 73% 74% 72% 62% 75% 77% 82% 69% 73% 76%

R R RS V

Confident

- - - - - - - - - - 572 - - - 530 239 291 220 128 106 75 188 155 158- - - - - - - - - - 29% - - - 27% 26% 28% 38% 25% 23% 18% 31% 27% 24%

STU U X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - 1487 - - - 1471 720 751 356 402 367 346 440 447 504- - - - - - - - - - 76% - - - 75% 77% 73% 62% 79% 79% 83% 73% 77% 75%

q R R R

Confident

- - - - - - - - - - 474 - - - 492 213 280 218 106 96 72 160 134 165- - - - - - - - - - 24% - - - 25% 23% 27% 38% 21% 21% 17% 27% 23% 25%

p STU

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Oil






- - - - - - - - - - 1292 - - - 1341 651 690 355 359 343 284 376 401 494- - - - - - - - - - 66% - - - 68% 70% 67% 62% 71% 74% 68% 63% 69% 74%

R R V V

Confident

- - - - - - - - - - 669 - - - 622 282 340 220 149 120 134 223 179 175- - - - - - - - - - 34% - - - 32% 30% 33% 38% 29% 26% 32% 37% 31% 26%

ST WX

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Restaurants






- - - - - - - - - - 1038 - - - 1117 542 575 302 299 283 233 323 320 411- - - - - - - - - - 53% - - - 57% 58% 56% 53% 59% 61% 56% 54% 55% 61%

k r R Vw

Confident

- - - - - - - - - - 923 - - - 846 390 455 272 209 179 185 277 261 258- - - - - - - - - - 47% - - - 43% 42% 44% 47% 41% 39% 44% 46% 45% 39%

o sT X x

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Manufacturing






- - - - - - - - - - 1244 - - - 1308 649 659 336 363 333 275 367 372 491- - - - - - - - - - 63% - - - 67% 70% 64% 59% 71% 72% 66% 61% 64% 73%

Q R R r VW

Confident

- - - - - - - - - - 717 - - - 655 284 372 238 145 129 142 232 209 177- - - - - - - - - - 37% - - - 33% 30% 36% 41% 29% 28% 34% 39% 36% 27%

P STu X X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Small Businesses






- - - - - - - - - - 1207 - - - 1364 666 698 349 363 335 318 394 398 495- - - - - - - - - - 62% - - - 69% 71% 68% 61% 71% 72% 76% 66% 69% 74%

K R R R V

Confident

- - - - - - - - - - 754 - - - 599 266 332 226 145 128 100 205 183 174- - - - - - - - - - 38% - - - 31% 29% 32% 39% 29% 28% 24% 34% 31% 26%

O STU X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - 1488 - - - 1457 704 754 363 389 368 336 423 426 533- - - - - - - - - - 76% - - - 74% 75% 73% 63% 77% 80% 81% 71% 73% 80%

R R R VW

Confident

- - - - - - - - - - 473 - - - 506 229 277 212 119 94 81 177 154 136- - - - - - - - - - 24% - - - 26% 25% 27% 37% 23% 20% 19% 29% 27% 20%

STU X X

Not confident

- - - - - - - - - - 1961 - - - 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 310Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Summary Of More Positive





- - 2023 2016 - 2013 2029 2050 2039 2030 1961 1996 1965 1969 1963 848 1115 612 518 440 393 797 652 403Unweighted Base-** -** 2023 2016 -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base

- - 1095 1253 - 1302 1230 1217 1257 1199 1135 1169 1179 1197 980 462 518 283 258 227 213 279 292 365- - 54% 62% - 65% 61% 59% 62% 58% 58% 59% 60% 61% 50% 50% 50% 49% 51% 49% 51% 46% 50% 55%

O CJKlO CGHJKLMNO CO CO CjkO CO cO CO CO CO V


- - 828 966 - 1073 1042 993 1004 937 892 953 1008 948 816 405 412 250 231 167 168 221 238 324- - 41% 48% - 53% 51% 48% 49% 45% 45% 48% 51% 48% 42% 43% 40% 44% 45% 36% 40% 37% 41% 48%

CO CDHIJKLNO CdJKlO CO CJkO Co Co CO CdJKlO CO t T VW

Retail - grocery

- - 752 826 - 904 883 921 858 863 767 849 839 904 717 374 344 222 218 156 121 179 207 304- - 37% 41% - 45% 44% 45% 42% 42% 39% 43% 43% 46% 37% 40% 33% 39% 43% 34% 29% 30% 36% 46%

cO CdKO CKO CDKO CO CO CkO CkO CDiJKlO Q U TU V VW

Small Businesses

- - 671 779 - 797 744 703 790 761 731 669 756 768 691 376 315 233 203 135 119 186 199 281- - 33% 39% - 40% 37% 34% 39% 37% 37% 34% 38% 39% 35% 40% 31% 41% 40% 29% 29% 31% 34% 42%

CHLo CHLO cl CHLo cl Cl CHLo CHLO Q TU TU VW


- - 612 757 - 819 766 758 780 724 699 702 755 753 634 356 279 222 211 112 89 167 181 259- - 30% 38% - 41% 38% 37% 38% 35% 36% 35% 38% 38% 32% 38% 27% 39% 41% 24% 21% 28% 31% 39%

CO ChJKLO CO CO CjO C Co C CjlO CjO Q TU TU VW

Restaurants

- - 632 753 - 862 817 768 751 771 670 713 776 761 630 365 265 234 202 110 84 168 179 257- - 31% 37% - 43% 40% 37% 37% 37% 34% 36% 40% 39% 32% 39% 26% 41% 40% 24% 20% 28% 31% 38%

CO CDHIJKLmNO CiKLO CkO CO CO Co CKlO CKO Q TU TU VW

Food & Beverage

- - 618 739 - 819 767 775 805 765 700 740 751 802 618 351 267 228 192 110 88 160 167 268- - 31% 37% - 41% 38% 38% 39% 37% 36% 37% 38% 41% 32% 38% 26% 40% 38% 24% 21% 27% 29% 40%

CO CDjKlO CO CO CkO CO CO CO CO CDjKlO Q TU TU VW

Technology

- - 551 595 - 666 628 603 578 619 511 577 600 628 593 333 260 220 199 102 73 148 167 264- - 27% 30% - 33% 31% 29% 28% 30% 26% 29% 31% 32% 30% 36% 25% 38% 39% 22% 18% 25% 29% 39%

k CdHIjKL CK k K cK CiK cK Q TU TU VW

Retail

- - - - - - - 679 688 674 652 605 667 657 570 329 241 202 201 93 75 137 168 245- - - - - - - 33% 34% 33% 33% 30% 34% 33% 29% 35% 23% 35% 39% 20% 18% 23% 29% 37%

O lO O O lO lO Q TU TU V VW

Telecommunications

- - - - - - - - - - 598 517 618 635 555 314 241 213 179 99 64 133 153 258- - - - - - - - - - 30% 26% 31% 32% 28% 34% 23% 37% 35% 21% 15% 22% 26% 39%

L Lo LO Q TU TU u VW


- - 545 645 - 739 637 626 671 684 575 608 657 607 551 320 231 198 187 89 77 151 143 228- - 27% 32% - 37% 31% 31% 33% 33% 29% 30% 33% 31% 28% 34% 22% 34% 37% 19% 18% 25% 25% 34%

CO CDGHIjKLmNO Co C CkO CKO C CKO C Q TU TU VW

Manufacturing

- - 597 674 - 764 711 713 727 729 593 676 722 699 540 287 253 202 177 90 71 131 167 223- - 29% 33% - 38% 35% 35% 36% 35% 30% 34% 37% 36% 28% 31% 25% 35% 35% 20% 17% 22% 29% 33%

CkO CDhKLO CKO CKO CKO CKO CkO CdKO CKO Q TU TU V V

Non-profits

- - - - - - - - - - 565 550 624 602 537 295 242 203 186 84 64 121 155 247- - - - - - - - - - 29% 28% 32% 31% 27% 32% 23% 35% 37% 18% 15% 20% 27% 37%

LO lo Q TU TU V VW

Insurance

- - - - - - - - 459 546 477 457 531 516 506 292 214 191 176 82 58 121 146 232- - - - - - - - 23% 26% 24% 23% 27% 26% 26% 31% 21% 33% 35% 18% 14% 20% 25% 35%

IL IL Il il Q TU TU v VW

Retail - apparel




Summary Of More Positive





-** -** 2023 2016 -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - 450 524 - 581 532 544 572 532 514 438 559 541 499 285 214 202 173 63 61 133 128 221- - 22% 26% - 29% 26% 27% 28% 26% 26% 22% 28% 27% 25% 31% 21% 35% 34% 14% 15% 22% 22% 33%

CL CjLo CL CL CL CL CL CLo CL cL Q TU TU VW

Media

- - 410 479 - 569 511 495 485 534 483 469 574 516 499 326 173 188 179 78 54 113 126 244- - 20% 24% - 28% 25% 24% 24% 26% 25% 24% 29% 26% 25% 35% 17% 33% 35% 17% 13% 19% 22% 37%

C CDgHIKL C C C C C C CDGHIjKLnO C C Q TU TU VW

Financial services

- - 407 502 - 638 592 555 581 588 506 541 554 594 474 294 180 206 169 61 37 119 125 214- - 20% 25% - 32% 29% 27% 28% 28% 26% 27% 28% 30% 24% 32% 17% 36% 33% 13% 9% 20% 22% 32%

C CDHijKLmO CDkO Co CDO CDO C Co CdO CDhKlO C Q TU TU VW

Entertainment

- - 388 458 - 534 459 495 443 523 500 453 545 507 468 276 193 175 156 82 56 115 122 214- - 19% 23% - 27% 23% 24% 22% 25% 25% 23% 28% 26% 24% 30% 19% 30% 31% 18% 13% 19% 21% 32%

C CDGIL C C CI CgI C CDGHILO CdgIl C Q TU TU VW

Automotive

- - 385 421 - 492 430 414 453 497 416 434 453 483 464 279 185 194 165 56 49 115 107 230- - 19% 21% - 24% 21% 20% 22% 24% 21% 22% 23% 25% 24% 30% 18% 34% 32% 12% 12% 19% 18% 34%

CDgHk C CdgHk c Ch CDGHkl CdH Q TU TU VW


- - 424 422 - 475 429 442 454 511 453 384 499 419 456 276 180 174 167 67 47 107 112 219- - 21% 21% - 24% 21% 22% 22% 25% 23% 19% 25% 21% 23% 30% 17% 30% 33% 15% 11% 18% 19% 33%

L l CDGhLN L CDGHiLN L Q TU TU VW

Oil

- - 268 318 - 335 379 354 337 459 397 350 436 401 429 264 165 180 143 62 44 106 100 211- - 13% 16% - 17% 19% 17% 17% 22% 20% 18% 22% 20% 22% 28% 16% 31% 28% 13% 11% 18% 17% 32%

c C Cd C C CDFGHIL CDFhIl C CDFGHIL CDFHIl CDFGHIL Q TU TU VW

Real estate

- - 361 362 - 405 371 358 382 462 377 315 450 395 415 252 163 174 148 61 32 97 101 202- - 18% 18% - 20% 18% 17% 19% 22% 19% 16% 23% 20% 21% 27% 16% 30% 29% 13% 8% 16% 17% 30%

hL l L CDGHIkL L CDfGHIKLn hL CDgHL Q TU TU U VW

Airlines




Summary Of More Negative






- - 577 544 - 498 505 537 507 577 586 587 538 542 559 273 285 138 118 141 162 170 166 186- - 29% 27% - 25% 25% 26% 25% 28% 30% 29% 27% 28% 28% 29% 28% 24% 23% 31% 39% 28% 29% 28%

FGI fgi FGHI FGhI FGI rS RST

Airlines

- - 668 591 - 546 565 602 539 637 519 671 595 650 547 260 287 129 113 163 143 155 167 193- - 33% 29% - 27% 28% 29% 26% 31% 26% 34% 30% 33% 28% 28% 28% 22% 22% 35% 34% 26% 29% 29%

DFGHIKO i FgIKo DFGHIKmO fIK DFGHIKO RS RS

Media

- - 583 511 - 513 509 578 473 563 566 512 502 471 512 220 293 123 96 134 159 156 169 153- - 29% 25% - 25% 25% 28% 23% 27% 29% 26% 26% 24% 26% 24% 28% 21% 19% 29% 38% 26% 29% 23%

dfGIlmN gIN In dfGIlmN i p RS RST x


- - 403 334 - 265 268 312 281 345 342 290 327 325 379 162 217 106 81 91 101 104 114 134- - 20% 17% - 13% 13% 15% 14% 17% 17% 15% 17% 17% 19% 17% 21% 18% 16% 20% 24% 17% 20% 20%

DFGHIJLMN FGI FGI FGIl FGI FGi dFGHIjLmn p rS

Entertainment

- - 398 305 - 260 287 341 288 365 328 321 321 310 332 138 194 115 75 66 76 105 91 113- - 20% 15% - 13% 14% 17% 14% 18% 17% 16% 16% 16% 17% 15% 19% 20% 15% 14% 18% 17% 16% 17%

DFGHIkLMNo Fgi dFGI Fgi F F F Fgi p st

Restaurants

- - 310 269 - 253 271 310 257 279 238 296 301 258 262 139 122 103 61 55 43 67 71 96- - 15% 13% - 13% 13% 15% 13% 14% 12% 15% 15% 13% 13% 15% 12% 18% 12% 12% 10% 11% 12% 14%

FIK fiK k fiK STU


- - 308 266 - 268 247 272 234 266 260 253 263 263 258 113 145 104 59 41 54 78 85 86- - 15% 13% - 13% 12% 13% 11% 13% 13% 13% 13% 13% 13% 12% 14% 18% 12% 9% 13% 13% 15% 13%

GIjl STu

Manufacturing

- - 383 336 - 350 344 355 299 362 230 302 305 327 256 110 146 123 48 46 39 74 85 77- - 19% 17% - 17% 17% 17% 15% 18% 12% 15% 16% 17% 13% 12% 14% 21% 9% 10% 9% 12% 15% 11%

IKLMO KO iKO KO iKO K IKO K Ko KO STU

Financial services

- - 306 251 - 180 207 215 218 248 244 246 235 214 252 108 144 96 67 42 48 79 72 85- - 15% 12% - 9% 10% 10% 11% 12% 12% 12% 12% 11% 13% 12% 14% 17% 13% 9% 11% 13% 12% 13%

dFGHIJkLMN Fg F Fg Fg F FGhi Tu

Food & Beverage

- - - - - - - - 243 284 249 245 272 272 249 119 130 102 62 41 44 74 70 84- - - - - - - - 12% 14% 13% 12% 14% 14% 13% 13% 13% 18% 12% 9% 10% 12% 12% 13%

STU

Retail - apparel

- - - - - - - - - - 214 259 264 258 248 127 121 107 60 42 39 72 83 77- - - - - - - - - - 11% 13% 13% 13% 13% 14% 12% 19% 12% 9% 9% 12% 14% 12%

k STU

Insurance

- - 292 268 - 286 251 290 238 290 245 278 270 269 238 122 116 101 63 28 46 70 78 72- - 14% 13% - 14% 12% 14% 12% 14% 12% 14% 14% 14% 12% 13% 11% 18% 12% 6% 11% 12% 13% 11%

Io i i i i sTU T T

Real estate

- - 287 244 - 248 219 226 242 233 227 242 244 256 228 118 110 119 50 19 40 70 57 89- - 14% 12% - 12% 11% 11% 12% 11% 12% 12% 12% 13% 12% 13% 11% 21% 10% 4% 10% 12% 10% 13%

GHiJko g STU T T

Small Businesses

- - 255 252 - 209 254 223 222 242 205 212 231 230 228 118 110 109 50 27 41 62 56 96- - 13% 13% - 10% 13% 11% 11% 12% 10% 11% 12% 12% 12% 13% 11% 19% 10% 6% 10% 10% 10% 14%

fk f f STU t t vW

Automotive




Summary Of More Negative





-** -** 2023 2016 -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - 338 292 - 252 245 291 239 277 261 249 257 275 227 111 116 97 47 38 45 66 66 80- - 17% 14% - 13% 12% 14% 12% 13% 13% 12% 13% 14% 12% 12% 11% 17% 9% 8% 11% 11% 11% 12%

FGhIJKLMnO gIO giO io STU

Retail

- - 269 232 - 280 311 316 281 333 265 294 323 322 220 110 110 108 45 26 41 55 78 71- - 13% 12% - 14% 15% 15% 14% 16% 14% 15% 16% 16% 11% 12% 11% 19% 9% 6% 10% 9% 13% 11%

dO DO DO do CDikO o DO CDfikO CDfikO STU t V

Oil

- - 355 255 - 218 231 252 208 253 198 228 205 245 217 104 113 93 58 32 33 59 65 80- - 18% 13% - 11% 11% 12% 10% 12% 10% 11% 10% 12% 11% 11% 11% 16% 11% 7% 8% 10% 11% 12%

DFGHIJKLMNO ikm ik ik ik sTU t

Retail - grocery

- - 217 169 - 155 178 208 174 200 154 189 164 169 210 113 97 104 52 29 24 51 56 79- - 11% 8% - 8% 9% 10% 9% 10% 8% 9% 8% 9% 11% 12% 9% 18% 10% 6% 6% 8% 10% 12%

DFgiKMn FK f dFiKmn STU tU


- - 248 207 - 192 192 208 166 222 209 193 222 207 206 109 97 97 47 27 35 64 63 68- - 12% 10% - 10% 9% 10% 8% 11% 11% 10% 11% 11% 10% 12% 9% 17% 9% 6% 8% 11% 11% 10%

FGhIL i i I I I I I STU

Non-profits

- - - - - - - 215 164 232 163 191 222 212 202 89 113 98 41 35 29 59 58 68- - - - - - - 10% 8% 11% 8% 10% 11% 11% 10% 10% 11% 17% 8% 7% 7% 10% 10% 10%

Ik IK IK IK I STU

Telecommunications

- - - - - - - - - - 174 253 252 224 201 107 93 94 56 24 26 68 57 59- - - - - - - - - - 9% 13% 13% 11% 10% 12% 9% 16% 11% 5% 6% 11% 10% 9%

Ko KO K STU TU


- - 219 178 - 175 180 170 155 204 154 167 171 190 190 91 99 93 42 30 25 49 62 60- - 11% 9% - 9% 9% 8% 8% 10% 8% 8% 9% 10% 10% 10% 10% 16% 8% 7% 6% 8% 11% 9%

dfgHIKLm Ik i i STU

Technology



19 Jun 2020Table 312Q38_1 How has your view of each of the following industries changed since the start of the coronavirus pandemic?

Financial services






- - 794 815 - 919 855 850 784 896 713 771 880 843 754 435 319 310 228 124 93 187 211 321- - 39% 40% - 46% 42% 41% 38% 43% 36% 39% 45% 43% 38% 47% 31% 54% 45% 27% 22% 31% 36% 48%

K CDgHIKLO iKlo K CIKLO CDhIKLO cIKLO Q STU TU v VW

More Positive/Negative(Net)

- - 410 479 - 569 511 495 485 534 483 469 574 516 499 326 173 188 179 78 54 113 126 244- - 20% 24% - 28% 25% 24% 24% 26% 25% 24% 29% 26% 25% 35% 17% 33% 35% 17% 13% 19% 22% 37%

C CDgHIKL C C C C C C CDGHIjKLnO C C Q TU TU VW

More positive

- - 383 336 - 350 344 355 299 362 230 302 305 327 256 110 146 123 48 46 39 74 85 77- - 19% 17% - 17% 17% 17% 15% 18% 12% 15% 16% 17% 13% 12% 14% 21% 9% 10% 9% 12% 15% 11%

IKLMO KO iKO KO iKO K IKO K Ko KO STU

More negative

- - 1229 1201 - 1094 1174 1200 1255 1170 1248 1225 1085 1126 1209 497 711 264 281 338 325 413 370 347- - 61% 60% - 54% 58% 59% 62% 57% 64% 61% 55% 57% 62% 53% 69% 46% 55% 73% 78% 69% 64% 52%

FJMn FM f Fm FgJMN DFGHJMN FgJMN FgJMN P R RS RS wX X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail






- - 890 887 - 918 873 895 817 896 772 826 857 903 820 444 376 317 246 140 118 214 232 344- - 44% 44% - 46% 43% 44% 40% 43% 39% 41% 44% 46% 42% 48% 37% 55% 48% 30% 28% 36% 40% 51%

IK IK IKLo k iK iK iK IKLO Q sTU TU VW


- - 551 595 - 666 628 603 578 619 511 577 600 628 593 333 260 220 199 102 73 148 167 264- - 27% 30% - 33% 31% 29% 28% 30% 26% 29% 31% 32% 30% 36% 25% 38% 39% 22% 18% 25% 29% 39%

k CdHIjKL CK k K cK CiK cK Q TU TU VW

More positive

- - 338 292 - 252 245 291 239 277 261 249 257 275 227 111 116 97 47 38 45 66 66 80- - 17% 14% - 13% 12% 14% 12% 13% 13% 12% 13% 14% 12% 12% 11% 17% 9% 8% 11% 11% 11% 12%

FGhIJKLMnO gIO giO io STU

More negative

- - 1133 1129 - 1095 1156 1155 1222 1171 1189 1170 1108 1066 1143 488 654 258 263 322 299 386 348 325- - 56% 56% - 54% 57% 56% 60% 57% 61% 59% 56% 54% 58% 52% 63% 45% 52% 70% 72% 64% 60% 49%

CDFhjmN CDFgHJMN FN fN P r RS RS X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Technology






- - 837 917 - 994 947 945 961 969 853 907 922 992 808 442 366 321 235 141 113 209 230 329- - 41% 45% - 49% 47% 46% 47% 47% 43% 45% 47% 50% 41% 47% 36% 56% 46% 30% 27% 35% 40% 49%

CO CdhKLO CO CO CkO CkO CO CkO CDgHijKLmO Q STU TU VW


- - 618 739 - 819 767 775 805 765 700 740 751 802 618 351 267 228 192 110 88 160 167 268- - 31% 37% - 41% 38% 38% 39% 37% 36% 37% 38% 41% 32% 38% 26% 40% 38% 24% 21% 27% 29% 40%

CO CDjKlO CO CO CkO CO CO CO CO CDjKlO Q TU TU VW

More positive

- - 219 178 - 175 180 170 155 204 154 167 171 190 190 91 99 93 42 30 25 49 62 60- - 11% 9% - 9% 9% 8% 8% 10% 8% 8% 9% 10% 10% 10% 10% 16% 8% 7% 6% 8% 11% 9%

dfgHIKLm Ik i i STU

More negative

- - 1186 1099 - 1019 1082 1105 1078 1097 1108 1089 1043 977 1155 490 664 254 274 322 305 391 351 340- - 59% 55% - 51% 53% 54% 53% 53% 57% 55% 53% 50% 59% 53% 64% 44% 54% 70% 73% 65% 60% 51%

DFGHIJLMN fN n fN n n FijmN FN n DFGHIJLMN P R RS RS X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Media






- - 1118 1116 - 1127 1097 1146 1111 1169 1033 1109 1153 1191 1046 545 501 331 285 226 204 288 296 414- - 55% 55% - 56% 54% 56% 55% 57% 53% 56% 59% 60% 53% 58% 49% 58% 56% 49% 49% 48% 51% 62%

ko cdGIKO CDFGHIJKLO Q TU tu VW


- - 450 524 - 581 532 544 572 532 514 438 559 541 499 285 214 202 173 63 61 133 128 221- - 22% 26% - 29% 26% 27% 28% 26% 26% 22% 28% 27% 25% 31% 21% 35% 34% 14% 15% 22% 22% 33%

CL CjLo CL CL CL CL CL CLo CL cL Q TU TU VW

More positive

- - 668 591 - 546 565 602 539 637 519 671 595 650 547 260 287 129 113 163 143 155 167 193- - 33% 29% - 27% 28% 29% 26% 31% 26% 34% 30% 33% 28% 28% 28% 22% 22% 35% 34% 26% 29% 29%

DFGHIKO i FgIKo DFGHIKmO fIK DFGHIKO RS RS

More negative

- - 905 900 - 886 932 904 928 897 928 887 812 778 917 387 529 244 223 236 214 312 285 255- - 45% 45% - 44% 46% 44% 45% 43% 47% 44% 41% 40% 47% 42% 51% 42% 44% 51% 51% 52% 49% 38%

mN mN N MN N MN N jMN N jMN P Rs Rs X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Automotive






- - 643 711 - 743 712 718 665 765 705 665 776 737 696 394 302 284 205 109 97 176 177 310- - 32% 35% - 37% 35% 35% 33% 37% 36% 33% 40% 37% 35% 42% 29% 49% 40% 24% 23% 29% 30% 46%

c CIl c c CIL Ci CDGHIkLO CIL c Q STU TU VW


- - 388 458 - 534 459 495 443 523 500 453 545 507 468 276 193 175 156 82 56 115 122 214- - 19% 23% - 27% 23% 24% 22% 25% 25% 23% 28% 26% 24% 30% 19% 30% 31% 18% 13% 19% 21% 32%

C CDGIL C C CI CgI C CDGHILO CdgIl C Q TU TU VW

More positive

- - 255 252 - 209 254 223 222 242 205 212 231 230 228 118 110 109 50 27 41 62 56 96- - 13% 13% - 10% 13% 11% 11% 12% 10% 11% 12% 12% 12% 13% 11% 19% 10% 6% 10% 10% 10% 14%

fk f f STU t t vW

More negative

- - 1380 1305 - 1270 1317 1332 1374 1302 1256 1331 1189 1232 1267 539 728 290 303 353 321 423 404 358- - 68% 65% - 63% 65% 65% 67% 63% 64% 67% 60% 63% 65% 58% 71% 51% 60% 76% 77% 71% 70% 54%

dFghJKMNo M M M FJkMN m fJMN M P R RS RS X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - 1312 1422 - 1456 1408 1425 1431 1399 1289 1358 1344 1367 1190 575 615 387 310 257 236 330 348 445- - 65% 71% - 72% 69% 70% 70% 68% 66% 68% 68% 69% 61% 62% 60% 67% 61% 56% 57% 55% 60% 67%

O CKO CgJKLMO CkO CKO CKO O O cO cO CkO sTU Vw


- - 1095 1253 - 1302 1230 1217 1257 1199 1135 1169 1179 1197 980 462 518 283 258 227 213 279 292 365- - 54% 62% - 65% 61% 59% 62% 58% 58% 59% 60% 61% 50% 50% 50% 49% 51% 49% 51% 46% 50% 55%

O CJKlO CGHJKLMNO CO CO CjkO CO cO CO CO CO V

More positive

- - 217 169 - 155 178 208 174 200 154 189 164 169 210 113 97 104 52 29 24 51 56 79- - 11% 8% - 8% 9% 10% 9% 10% 8% 9% 8% 9% 11% 12% 9% 18% 10% 6% 6% 8% 10% 12%

DFgiKMn FK f dFiKmn STU tU

More negative

- - 711 594 - 557 621 625 608 668 672 638 621 602 773 358 416 188 198 206 181 270 233 224- - 35% 29% - 28% 31% 30% 30% 32% 34% 32% 32% 31% 39% 38% 40% 33% 39% 44% 43% 45% 40% 33%

DFGHIlmN f F DFgHIn F F CDFGHIJKLMN r R R X x

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Food & Beverage






- - 938 1004 - 1042 1023 982 969 1019 913 959 1011 975 882 473 409 330 269 152 132 247 252 341- - 46% 50% - 52% 50% 48% 48% 49% 47% 48% 51% 50% 45% 51% 40% 57% 53% 33% 32% 41% 43% 51%

cO CHIKlO CkO O ChiKlO O Q TU TU VW


- - 632 753 - 862 817 768 751 771 670 713 776 761 630 365 265 234 202 110 84 168 179 257- - 31% 37% - 43% 40% 37% 37% 37% 34% 36% 40% 39% 32% 39% 26% 41% 40% 24% 20% 28% 31% 38%

CO CDHIJKLmNO CiKLO CkO CO CO Co CKlO CKO Q TU TU VW

More positive

- - 306 251 - 180 207 215 218 248 244 246 235 214 252 108 144 96 67 42 48 79 72 85- - 15% 12% - 9% 10% 10% 11% 12% 12% 12% 12% 11% 13% 12% 14% 17% 13% 9% 11% 13% 12% 13%

dFGHIJkLMN Fg F Fg Fg F FGhi Tu

More negative

- - 1085 1012 - 971 1006 1068 1070 1047 1048 1037 954 994 1081 459 622 245 240 311 286 352 329 327- - 54% 50% - 48% 50% 52% 52% 51% 53% 52% 49% 50% 55% 49% 60% 43% 47% 67% 68% 59% 57% 49%

dFGM Fm Fm FgM fm DFGJMN P RS RS X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Entertainment






- - 810 836 - 903 860 868 861 934 848 831 881 919 853 456 397 312 250 152 139 223 240 348- - 40% 41% - 45% 42% 42% 42% 45% 43% 42% 45% 47% 43% 49% 39% 54% 49% 33% 33% 37% 41% 52%

Cd Cdl Cd CDGHIkL c Q TU TU VW


- - 407 502 - 638 592 555 581 588 506 541 554 594 474 294 180 206 169 61 37 119 125 214- - 20% 25% - 32% 29% 27% 28% 28% 26% 27% 28% 30% 24% 32% 17% 36% 33% 13% 9% 20% 22% 32%

C CDHijKLmO CDkO Co CDO CDO C Co CdO CDhKlO C Q TU TU VW

More positive

- - 403 334 - 265 268 312 281 345 342 290 327 325 379 162 217 106 81 91 101 104 114 134- - 20% 17% - 13% 13% 15% 14% 17% 17% 15% 17% 17% 19% 17% 21% 18% 16% 20% 24% 17% 20% 20%

DFGHIJLMN FGI FGI FGIl FGI FGi dFGHIjLmn p rS

More negative

- - 1213 1180 - 1110 1169 1182 1178 1133 1113 1165 1084 1050 1110 477 633 263 258 310 279 376 341 321- - 60% 59% - 55% 58% 58% 58% 55% 57% 58% 55% 53% 57% 51% 61% 46% 51% 67% 67% 63% 59% 48%

FJMNo fjmN N N N n jN P RS RS X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - 968 932 - 1005 940 992 926 1060 982 946 955 954 976 499 478 317 260 190 209 272 275 383- - 48% 46% - 50% 46% 48% 45% 51% 50% 47% 49% 48% 50% 53% 46% 55% 51% 41% 50% 45% 47% 57%

dgI cDGIL dgI dgI Q T T T VW


- - 385 421 - 492 430 414 453 497 416 434 453 483 464 279 185 194 165 56 49 115 107 230- - 19% 21% - 24% 21% 20% 22% 24% 21% 22% 23% 25% 24% 30% 18% 34% 32% 12% 12% 19% 18% 34%

CDgHk C CdgHk c Ch CDGHkl CdH Q TU TU VW

More positive

- - 583 511 - 513 509 578 473 563 566 512 502 471 512 220 293 123 96 134 159 156 169 153- - 29% 25% - 25% 25% 28% 23% 27% 29% 26% 26% 24% 26% 24% 28% 21% 19% 29% 38% 26% 29% 23%

dfGIlmN gIN In dfGIlmN i p RS RST x

More negative

- - 1055 1084 - 1008 1089 1058 1113 1007 979 1050 1010 1015 987 434 553 258 248 272 209 328 305 285- - 52% 54% - 50% 54% 52% 55% 49% 50% 53% 51% 52% 50% 47% 54% 45% 49% 59% 50% 55% 53% 43%

j fJko fJko FJKO J P RSU X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Airlines






- - 938 905 - 903 876 895 889 1039 963 903 988 937 974 526 449 312 266 202 194 267 267 387- - 46% 45% - 45% 43% 44% 44% 50% 49% 45% 50% 48% 50% 56% 44% 54% 52% 44% 46% 45% 46% 58%

CDFGHIL DFGHIl cDFGHIL GHI DFGHIL Q TU T VW


- - 361 362 - 405 371 358 382 462 377 315 450 395 415 252 163 174 148 61 32 97 101 202- - 18% 18% - 20% 18% 17% 19% 22% 19% 16% 23% 20% 21% 27% 16% 30% 29% 13% 8% 16% 17% 30%

hL l L CDGHIkL L CDfGHIKLn hL CDgHL Q TU TU U VW

More positive

- - 577 544 - 498 505 537 507 577 586 587 538 542 559 273 285 138 118 141 162 170 166 186- - 29% 27% - 25% 25% 26% 25% 28% 30% 29% 27% 28% 28% 29% 28% 24% 23% 31% 39% 28% 29% 28%

FGI fgi FGHI FGhI FGI rS RST

More negative

- - 1085 1111 - 1110 1153 1155 1150 1027 998 1093 977 1032 989 407 582 262 243 260 224 333 313 281- - 54% 55% - 55% 57% 56% 56% 50% 51% 55% 50% 52% 50% 44% 56% 46% 48% 56% 54% 55% 54% 42%

Jm JKMO JKMO JKMNO JKMNO JKMNO JkMO P RS R X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Non-profits






- - 845 881 - 956 903 921 893 951 803 869 944 907 746 396 350 299 223 118 106 196 230 291- - 42% 44% - 47% 45% 45% 44% 46% 41% 44% 48% 46% 38% 42% 34% 52% 44% 25% 25% 33% 40% 44%

o O CdiKLO kO cKO O CKO O CDgIKLO CKO Q STU TU V V


- - 597 674 - 764 711 713 727 729 593 676 722 699 540 287 253 202 177 90 71 131 167 223- - 29% 33% - 38% 35% 35% 36% 35% 30% 34% 37% 36% 28% 31% 25% 35% 35% 20% 17% 22% 29% 33%

CkO CDhKLO CKO CKO CKO CKO CkO CdKO CKO Q TU TU V V

More positive

- - 248 207 - 192 192 208 166 222 209 193 222 207 206 109 97 97 47 27 35 64 63 68- - 12% 10% - 10% 9% 10% 8% 11% 11% 10% 11% 11% 10% 12% 9% 17% 9% 6% 8% 11% 11% 10%

FGhIL i i I I I I I STU

More negative

- - 1178 1135 - 1057 1126 1129 1146 1115 1158 1127 1021 1062 1217 537 681 276 285 345 312 404 351 377- - 58% 56% - 53% 55% 55% 56% 54% 59% 56% 52% 54% 62% 58% 66% 48% 56% 75% 75% 67% 60% 56%

FhJMN fM m fM FgHJMN FM cDFGHIJLMN P R RS RS WX

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Real estate






- - 560 586 - 621 629 644 575 749 642 628 705 670 666 386 281 281 207 89 90 176 178 283- - 28% 29% - 31% 31% 31% 28% 36% 33% 31% 36% 34% 34% 41% 27% 49% 41% 19% 22% 29% 31% 42%

c c Ci CDFGHIkL CdI Ci CDFGHIL CDfI CDfI Q STU TU VW


- - 268 318 - 335 379 354 337 459 397 350 436 401 429 264 165 180 143 62 44 106 100 211- - 13% 16% - 17% 19% 17% 17% 22% 20% 18% 22% 20% 22% 28% 16% 31% 28% 13% 11% 18% 17% 32%

c C Cd C C CDFGHIL CDFhIl C CDFGHIL CDFHIl CDFGHIL Q TU TU VW

More positive

- - 292 268 - 286 251 290 238 290 245 278 270 269 238 122 116 101 63 28 46 70 78 72- - 14% 13% - 14% 12% 14% 12% 14% 12% 14% 14% 14% 12% 13% 11% 18% 12% 6% 11% 12% 13% 11%

Io i i i i sTU T T

More negative

- - 1463 1430 - 1392 1400 1406 1464 1318 1319 1368 1260 1299 1297 546 750 294 302 373 328 424 403 386- - 72% 71% - 69% 69% 69% 72% 64% 67% 69% 64% 66% 66% 59% 73% 51% 59% 81% 78% 71% 69% 58%

fgHJKLMNO JkMNO JMno JM JM hJKlMNO j JM P R RS RS X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail - grocery






- - 1184 1220 - 1291 1273 1245 1212 1191 1090 1181 1213 1193 1033 508 525 344 289 199 201 280 304 404- - 59% 61% - 64% 63% 61% 59% 58% 56% 59% 62% 61% 53% 55% 51% 60% 57% 43% 48% 47% 52% 60%

O KO CdhIJKLnO CiJKlO KO kO O kO JKO KO TU TU v VW


- - 828 966 - 1073 1042 993 1004 937 892 953 1008 948 816 405 412 250 231 167 168 221 238 324- - 41% 48% - 53% 51% 48% 49% 45% 45% 48% 51% 48% 42% 43% 40% 44% 45% 36% 40% 37% 41% 48%

CO CDHIJKLNO CdJKlO CO CJkO Co Co CO CdJKlO CO t T VW

More positive

- - 355 255 - 218 231 252 208 253 198 228 205 245 217 104 113 93 58 32 33 59 65 80- - 18% 13% - 11% 11% 12% 10% 12% 10% 11% 10% 12% 11% 11% 11% 16% 11% 7% 8% 10% 11% 12%

DFGHIJKLMNO ikm ik ik ik sTU t

More negative

- - 839 796 - 722 756 805 827 876 871 815 752 776 930 424 506 231 219 263 217 320 277 265- - 41% 39% - 36% 37% 39% 41% 42% 44% 41% 38% 39% 47% 45% 49% 40% 43% 57% 52% 53% 48% 40%

FG f f Fg FGM DFGHilMN Fg f CDFGHIJLMN RS RS wX X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - 981 1049 - 1050 1015 1013 1048 1040 970 965 1057 1026 952 515 437 336 264 190 162 253 270 377- - 48% 52% - 52% 50% 49% 51% 50% 49% 48% 54% 52% 48% 55% 42% 58% 52% 41% 39% 42% 46% 56%

clo clo CgHjKLO clo Q sTU TU VW


- - 671 779 - 797 744 703 790 761 731 669 756 768 691 376 315 233 203 135 119 186 199 281- - 33% 39% - 40% 37% 34% 39% 37% 37% 34% 38% 39% 35% 40% 31% 41% 40% 29% 29% 31% 34% 42%

CHLo CHLO cl CHLo cl Cl CHLo CHLO Q TU TU VW

More positive

- - 310 269 - 253 271 310 257 279 238 296 301 258 262 139 122 103 61 55 43 67 71 96- - 15% 13% - 13% 13% 15% 13% 14% 12% 15% 15% 13% 13% 15% 12% 18% 12% 12% 10% 11% 12% 14%

FIK fiK k fiK STU

More negative

- - 1042 967 - 963 1014 1037 991 1026 991 1031 908 943 1011 417 594 239 245 272 256 346 311 292- - 52% 48% - 48% 50% 51% 49% 50% 51% 52% 46% 48% 52% 45% 58% 42% 48% 59% 61% 58% 54% 44%

dfMn m M m M dfMn dfMn P r RS RS X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Oil






- - 693 655 - 755 740 758 735 844 719 678 821 740 676 386 290 283 212 94 88 162 190 290- - 34% 32% - 38% 36% 37% 36% 41% 37% 34% 42% 38% 34% 41% 28% 49% 42% 20% 21% 27% 33% 43%

cDl D D d CDfGHIKLnO D CDFGHIKLNO cDlo Q STU TU v VW


- - 424 422 - 475 429 442 454 511 453 384 499 419 456 276 180 174 167 67 47 107 112 219- - 21% 21% - 24% 21% 22% 22% 25% 23% 19% 25% 21% 23% 30% 17% 30% 33% 15% 11% 18% 19% 33%

L l CDGhLN L CDGHiLN L Q TU TU VW

More positive

- - 269 232 - 280 311 316 281 333 265 294 323 322 220 110 110 108 45 26 41 55 78 71- - 13% 12% - 14% 15% 15% 14% 16% 14% 15% 16% 16% 11% 12% 11% 19% 9% 6% 10% 9% 13% 11%

dO DO DO do CDikO o DO CDfikO CDfikO STU t V

More negative

- - 1330 1361 - 1258 1289 1292 1304 1222 1242 1318 1144 1229 1287 547 740 292 296 368 330 438 391 379- - 66% 68% - 62% 64% 63% 64% 59% 63% 66% 58% 62% 66% 59% 72% 51% 58% 80% 79% 73% 67% 57%

fJMn FGHiJKMN jM JM JM JM JM fJMn jM JMn P R RS RS wX X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Restaurants






- - 1009 1062 - 1079 1053 1098 1068 1089 1027 1023 1076 1063 966 494 473 338 286 178 164 271 272 372- - 50% 53% - 54% 52% 54% 52% 53% 52% 51% 55% 54% 49% 53% 46% 59% 56% 39% 39% 45% 47% 56%

o cO cO o ClO CO Q TU TU VW


- - 612 757 - 819 766 758 780 724 699 702 755 753 634 356 279 222 211 112 89 167 181 259- - 30% 38% - 41% 38% 37% 38% 35% 36% 35% 38% 38% 32% 38% 27% 39% 41% 24% 21% 28% 31% 39%

CO ChJKLO CO CO CjO C Co C CjlO CjO Q TU TU VW

More positive

- - 398 305 - 260 287 341 288 365 328 321 321 310 332 138 194 115 75 66 76 105 91 113- - 20% 15% - 13% 14% 17% 14% 18% 17% 16% 16% 16% 17% 15% 19% 20% 15% 14% 18% 17% 16% 17%

DFGHIkLMNo Fgi dFGI Fgi F F F Fgi p st

More negative

- - 1014 954 - 934 976 952 971 977 934 973 889 906 997 439 558 237 222 284 253 328 309 297- - 50% 47% - 46% 48% 46% 48% 47% 48% 49% 45% 46% 51% 47% 54% 41% 44% 61% 61% 55% 53% 44%

fhMN m dFHjMN P RS RS X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Manufacturing






- - 853 911 - 1007 884 898 905 950 835 861 921 870 809 433 377 302 245 131 131 228 229 314- - 42% 45% - 50% 44% 44% 44% 46% 43% 43% 47% 44% 41% 46% 37% 53% 48% 28% 31% 38% 39% 47%

O CDGHIJKLNO CkO CgKlO Q TU TU VW


- - 545 645 - 739 637 626 671 684 575 608 657 607 551 320 231 198 187 89 77 151 143 228- - 27% 32% - 37% 31% 31% 33% 33% 29% 30% 33% 31% 28% 34% 22% 34% 37% 19% 18% 25% 25% 34%

CO CDGHIjKLmNO Co C CkO CKO C CKO C Q TU TU VW

More positive

- - 308 266 - 268 247 272 234 266 260 253 263 263 258 113 145 104 59 41 54 78 85 86- - 15% 13% - 13% 12% 13% 11% 13% 13% 13% 13% 13% 13% 12% 14% 18% 12% 9% 13% 13% 15% 13%

GIjl STu

More negative

- - 1170 1105 - 1006 1145 1152 1134 1116 1126 1135 1044 1099 1154 500 654 273 263 332 287 372 352 355- - 58% 55% - 50% 56% 56% 56% 54% 57% 57% 53% 56% 59% 54% 63% 47% 52% 72% 69% 62% 61% 53%

FJM F Fm F F F FjM Fm F DFJM P RS RS X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Small Businesses






- - 1038 1070 - 1152 1102 1147 1100 1096 995 1091 1083 1159 945 491 454 341 268 175 161 248 264 393- - 51% 53% - 57% 54% 56% 54% 53% 51% 55% 55% 59% 48% 53% 44% 59% 53% 38% 39% 41% 46% 59%

O CDiJKO kO CKO O O ckO cKO CDGIJKLmO Q sTU TU VW


- - 752 826 - 904 883 921 858 863 767 849 839 904 717 374 344 222 218 156 121 179 207 304- - 37% 41% - 45% 44% 45% 42% 42% 39% 43% 43% 46% 37% 40% 33% 39% 43% 34% 29% 30% 36% 46%

cO CdKO CKO CDKO CO CO CkO CkO CDiJKlO Q U TU V VW

More positive

- - 287 244 - 248 219 226 242 233 227 242 244 256 228 118 110 119 50 19 40 70 57 89- - 14% 12% - 12% 11% 11% 12% 11% 12% 12% 12% 13% 12% 13% 11% 21% 10% 4% 10% 12% 10% 13%

GHiJko g STU T T

More negative

- - 985 946 - 861 927 903 939 970 966 905 882 810 1018 441 577 233 240 288 257 351 316 275- - 49% 47% - 43% 46% 44% 46% 47% 49% 45% 45% 41% 52% 47% 56% 41% 47% 62% 61% 59% 54% 41%

FHlmN FN N fN FN FgHlMN N n DFGHIJLMN P r RS RS X X

Unchanged

- - 2023 2016 - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - 100% 100% - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Telecommunications






- - - - - - - 893 851 906 815 796 890 869 772 418 354 300 241 127 104 196 226 313- - - - - - - 44% 42% 44% 42% 40% 45% 44% 39% 45% 34% 52% 47% 28% 25% 33% 39% 47%

lO LO ikLO LO Q TU TU V VW


- - - - - - - 679 688 674 652 605 667 657 570 329 241 202 201 93 75 137 168 245- - - - - - - 33% 34% 33% 33% 30% 34% 33% 29% 35% 23% 35% 39% 20% 18% 23% 29% 37%

O lO O O lO lO Q TU TU V VW

More positive

- - - - - - - 215 164 232 163 191 222 212 202 89 113 98 41 35 29 59 58 68- - - - - - - 10% 8% 11% 8% 10% 11% 11% 10% 10% 11% 17% 8% 7% 7% 10% 10% 10%

Ik IK IK IK I STU

More negative

- - - - - - - 1157 1188 1160 1146 1200 1075 1100 1191 514 677 275 267 335 314 404 355 356- - - - - - - 56% 58% 56% 58% 60% 55% 56% 61% 55% 66% 48% 53% 72% 75% 67% 61% 53%

m m hJMN HJMN P RS RS WX X

Unchanged

- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Retail - apparel






- - - - - - - - 702 830 726 702 803 788 755 411 344 293 238 123 102 195 216 316- - - - - - - - 34% 40% 37% 35% 41% 40% 38% 44% 33% 51% 47% 27% 24% 33% 37% 47%

IL IkL IL Il Q TU TU VW


- - - - - - - - 459 546 477 457 531 516 506 292 214 191 176 82 58 121 146 232- - - - - - - - 23% 26% 24% 23% 27% 26% 26% 31% 21% 33% 35% 18% 14% 20% 25% 35%

IL IL Il il Q TU TU v VW

More positive

- - - - - - - - 243 284 249 245 272 272 249 119 130 102 62 41 44 74 70 84- - - - - - - - 12% 14% 13% 12% 14% 14% 13% 13% 13% 18% 12% 9% 10% 12% 12% 13%

STU

More negative

- - - - - - - - 1337 1236 1235 1294 1162 1181 1208 521 686 282 270 339 316 405 365 353- - - - - - - - 66% 60% 63% 65% 59% 60% 62% 56% 67% 49% 53% 73% 76% 67% 63% 53%

JMNO m JMNo P RS RS X X

Unchanged

- - - - - - - - 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma










- - - - - - - - - - 772 770 870 858 756 421 335 307 236 123 90 201 210 317- - - - - - - - - - 39% 39% 44% 44% 39% 45% 32% 53% 46% 27% 22% 34% 36% 47%

KLO KLO Q sTU TU VW


- - - - - - - - - - 598 517 618 635 555 314 241 213 179 99 64 133 153 258- - - - - - - - - - 30% 26% 31% 32% 28% 34% 23% 37% 35% 21% 15% 22% 26% 39%

L Lo LO Q TU TU u VW

More positive

- - - - - - - - - - 174 253 252 224 201 107 93 94 56 24 26 68 57 59- - - - - - - - - - 9% 13% 13% 11% 10% 12% 9% 16% 11% 5% 6% 11% 10% 9%

Ko KO K STU TU

More negative

- - - - - - - - - - 1189 1226 1095 1111 1207 511 696 268 273 339 328 398 371 352- - - - - - - - - - 61% 61% 56% 56% 61% 55% 68% 47% 54% 73% 78% 66% 64% 53%

MN MN MN P r RS RS X X

Unchanged

- - - - - - - - - - 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma




Insurance






- - - - - - - - - - 779 809 888 859 785 422 363 310 246 126 103 193 237 324- - - - - - - - - - 40% 41% 45% 44% 40% 45% 35% 54% 48% 27% 25% 32% 41% 48%

KLO ko Q TU TU V VW


- - - - - - - - - - 565 550 624 602 537 295 242 203 186 84 64 121 155 247- - - - - - - - - - 29% 28% 32% 31% 27% 32% 23% 35% 37% 18% 15% 20% 27% 37%

LO lo Q TU TU V VW

More positive

- - - - - - - - - - 214 259 264 258 248 127 121 107 60 42 39 72 83 77- - - - - - - - - - 11% 13% 13% 13% 13% 14% 12% 19% 12% 9% 9% 12% 14% 12%

k STU

More negative

- - - - - - - - - - 1182 1187 1077 1110 1178 510 668 264 263 336 315 407 343 345- - - - - - - - - - 60% 59% 55% 56% 60% 55% 65% 46% 52% 73% 75% 68% 59% 52%

Mn M Mn P RS RS WX X

Unchanged

- - - - - - - - - - 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 334IND01 For each of the following industries, do you think that the industry has had a good response or a poor response to the

coronavirus pandemic?

Summary Of Good






- - - - - - - 1562 1567 1524 1465 1528 1443 1518 1389 661 728 326 366 348 349 418 448 461- - - - - - - 76% 77% 74% 75% 77% 73% 77% 71% 71% 71% 57% 72% 75% 83% 70% 77% 69%

O jmO o O mO JMO R R RST VX


- - - - - - - 1511 1530 1465 1405 1452 1405 1433 1380 661 718 323 343 365 349 412 424 475- - - - - - - 74% 75% 71% 72% 73% 72% 73% 70% 71% 70% 56% 67% 79% 83% 69% 73% 71%

o JkMO R RS RS

Retail - grocery

- - - - - - - 1361 1398 1332 1226 1321 1250 1325 1230 594 636 314 323 312 282 344 390 442- - - - - - - 66% 69% 64% 62% 66% 64% 67% 63% 64% 62% 55% 63% 67% 67% 57% 67% 66%

KO JKMO ko KmO R R R V V

Restaurants

- - - - - - - 1381 1386 1331 1217 1316 1230 1317 1224 598 626 293 343 297 291 359 372 435- - - - - - - 67% 68% 64% 62% 66% 63% 67% 62% 64% 61% 51% 68% 64% 70% 60% 64% 65%

KMO jKMO kmo KMO R R R

Food & Beverage

- - - - - - - 1205 1166 1169 1073 1140 1036 1107 1141 573 568 266 310 294 271 329 363 401- - - - - - - 59% 57% 57% 55% 57% 53% 56% 58% 61% 55% 46% 61% 64% 65% 55% 63% 60%

KM M m M m kM Q R R R V

Retail

- - - - - - - 1178 1237 1214 1195 1118 1128 1150 1139 590 550 284 307 271 278 317 357 420- - - - - - - 57% 61% 59% 61% 56% 57% 58% 58% 63% 53% 49% 60% 59% 67% 53% 61% 63%

hL hLm Q R R Rt V V


- - - - - - - 1167 1205 1198 1109 1132 1103 1202 1127 568 558 282 289 299 257 296 355 421- - - - - - - 57% 59% 58% 57% 57% 56% 61% 57% 61% 54% 49% 57% 65% 61% 49% 61% 63%

HKLMo Q R RS R V V

Small Businesses

- - - - - - - 1202 1285 1220 1181 1088 1071 1142 1073 565 508 290 301 251 231 299 327 397- - - - - - - 59% 63% 59% 60% 55% 55% 58% 55% 61% 49% 50% 59% 54% 55% 50% 56% 59%

LMO HJLMNO LMO LMO lmo Q R V V

Technology

- - - - - - - - 1176 1153 1115 1000 974 1052 1047 557 490 257 277 269 243 287 331 393- - - - - - - - 58% 56% 57% 50% 50% 53% 53% 60% 48% 45% 55% 58% 58% 48% 57% 59%

LMNO LM LMno lm m Q R R R V V

Telecommunications

- - - - - - - - 1034 1069 1006 965 947 990 1044 513 531 261 300 270 213 277 347 377- - - - - - - - 51% 52% 51% 48% 48% 50% 53% 55% 52% 45% 59% 58% 51% 46% 60% 56%

lm LM RU Ru V V

Retail - apparel

- - - - - - - - - - 1112 1017 1024 1039 1022 519 503 260 294 236 233 294 318 373- - - - - - - - - - 57% 51% 52% 53% 52% 56% 49% 45% 58% 51% 56% 49% 55% 56%

LMnO Q Rt R v v


- - - - - - - 1074 1080 1062 1021 951 964 997 1000 535 465 246 288 256 210 269 320 367- - - - - - - 52% 53% 51% 52% 48% 49% 51% 51% 57% 45% 43% 57% 55% 50% 45% 55% 55%

Lm Lm l L Q R R r V V

Manufacturing

- - - - - - - 974 930 1059 992 900 945 945 990 535 455 258 282 248 203 254 313 383- - - - - - - 48% 46% 51% 51% 45% 48% 48% 50% 57% 44% 45% 55% 54% 49% 42% 54% 57%

hILn IL IL Q R R V V

Automotive

- - - - - - - 941 990 986 965 876 932 935 990 511 480 263 272 240 216 267 292 390- - - - - - - 46% 49% 48% 49% 44% 47% 47% 50% 55% 47% 46% 53% 52% 52% 44% 50% 58%

L l L l l HL Q R v VW

Financial services





Summary Of Good





-** -** -** -** -** -** -** 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - - - - - - 1120 1144 1104 997 975 947 992 969 488 480 277 294 220 179 269 285 371- - - - - - - 55% 56% 53% 51% 49% 48% 50% 49% 52% 47% 48% 58% 47% 43% 45% 49% 56%

kLMNO KLMNO LMO Q RTU Vw

Entertainment

- - - - - - - 1090 1093 1118 1006 1017 1042 1065 963 480 483 247 275 236 205 278 303 351- - - - - - - 53% 54% 54% 51% 51% 53% 54% 49% 52% 47% 43% 54% 51% 49% 46% 52% 53%

O O O o O R R v v

Non-profits

- - - - - - - - - - 1024 964 1016 1012 963 499 464 244 262 249 207 268 297 358- - - - - - - - - - 52% 48% 52% 51% 49% 54% 45% 43% 52% 54% 50% 45% 51% 53%

l l Q R R r V V

Insurance

- - - - - - - 966 1078 947 889 847 885 938 909 448 460 273 275 195 165 263 279 337- - - - - - - 47% 53% 46% 45% 42% 45% 48% 46% 48% 45% 48% 54% 42% 40% 44% 48% 50%

L HJKLMNO l L l U rTU v

Media

- - - - - - - 817 866 841 773 793 819 835 876 455 421 260 266 203 147 226 255 350- - - - - - - 40% 42% 41% 39% 40% 42% 42% 45% 49% 41% 45% 52% 44% 35% 38% 44% 52%

HJKL Q U rTU U V VW


- - - - - - - 724 737 782 829 678 723 720 858 461 397 231 247 205 175 226 251 350- - - - - - - 35% 36% 38% 42% 34% 37% 37% 44% 49% 39% 40% 49% 44% 42% 38% 43% 52%

L HIJLMN HIJLMN Q R v VW

Oil

- - - - - - - 670 697 792 783 671 714 671 830 449 381 225 244 200 161 213 250 342- - - - - - - 33% 34% 38% 40% 34% 36% 34% 42% 48% 37% 39% 48% 43% 38% 36% 43% 51%

HILN HILmN h HIJLMN Q RU V VW

Real estate

- - - - - - - 795 892 870 759 747 799 786 827 426 401 242 246 183 156 205 248 336- - - - - - - 39% 44% 42% 39% 37% 41% 40% 42% 46% 39% 42% 48% 40% 37% 34% 43% 50%

HKLn hkL hkL Q TU V VW

Airlines





Summary Of Poor






- - - - - - - 722 600 763 650 758 664 708 611 318 293 158 127 163 164 176 194 196- - - - - - - 35% 29% 37% 33% 38% 34% 36% 31% 34% 28% 27% 25% 35% 39% 29% 33% 29%

IO IkO I IKMO I IO Q RS RS

Media

- - - - - - - 635 577 670 689 639 535 623 576 296 280 147 122 159 149 160 182 200- - - - - - - 31% 28% 32% 35% 32% 27% 32% 29% 32% 27% 26% 24% 34% 36% 27% 31% 30%

M IMo HIMnO IM iM q RS RS

Airlines

- - - - - - - 602 578 715 654 548 514 558 538 265 274 149 110 136 143 153 182 175- - - - - - - 29% 28% 35% 33% 27% 26% 28% 27% 28% 27% 26% 22% 29% 34% 26% 31% 26%

m HILMNO HILMNO S RS V


- - - - - - - 411 362 448 406 402 381 443 415 213 202 141 92 96 86 121 132 133- - - - - - - 20% 18% 22% 21% 20% 19% 23% 21% 23% 20% 25% 18% 21% 21% 20% 23% 20%

I i Im I S

Entertainment

- - - - - - - 360 348 457 369 382 309 355 375 175 200 148 90 74 63 102 119 133- - - - - - - 18% 17% 22% 19% 19% 16% 18% 19% 19% 19% 26% 18% 16% 15% 17% 21% 20%

HIKlMNo m M M STU

Manufacturing

- - - - - - - 369 306 410 413 340 311 321 362 178 184 133 96 71 62 105 113 117- - - - - - - 18% 15% 20% 21% 17% 16% 16% 18% 19% 18% 23% 19% 15% 15% 18% 20% 17%

I IlMN hILMN Im TU

Restaurants

- - - - - - - 404 349 431 349 341 359 402 343 166 177 143 81 63 56 93 109 114- - - - - - - 20% 17% 21% 18% 17% 18% 20% 17% 18% 17% 25% 16% 14% 13% 16% 19% 17%

il IkLO ILo STU

Real estate

- - - - - - - 393 313 407 373 318 331 400 328 162 166 143 86 52 48 98 98 111- - - - - - - 19% 15% 20% 19% 16% 17% 20% 17% 17% 16% 25% 17% 11% 11% 16% 17% 17%

IL ILmo IL ILMO STU Tu

Retail

- - - - - - - - 302 384 333 350 302 361 317 159 158 128 73 53 63 94 91 112- - - - - - - - 15% 19% 17% 18% 15% 18% 16% 17% 15% 22% 14% 11% 15% 16% 16% 17%

IM i Im STU

Retail - apparel

- - - - - - - - - - 308 330 329 353 311 159 153 128 86 59 38 88 105 102- - - - - - - - - - 16% 17% 17% 18% 16% 17% 15% 22% 17% 13% 9% 15% 18% 15%

sTU U

Insurance

- - - - - - - 468 394 508 344 358 380 426 310 166 144 127 81 50 52 98 101 95- - - - - - - 23% 19% 25% 18% 18% 19% 22% 16% 18% 14% 22% 16% 11% 13% 16% 17% 14%

IKLMO O IKLMnO O KLO q STU t

Oil

- - - - - - - 290 279 338 257 266 266 287 300 162 138 136 79 55 31 82 98 106- - - - - - - 14% 14% 16% 13% 13% 14% 15% 15% 17% 13% 24% 16% 12% 7% 14% 17% 16%

iKLM Q STU U u

Non-profits

- - - - - - - 377 327 401 306 380 347 368 299 154 145 118 71 77 34 86 94 92- - - - - - - 18% 16% 19% 16% 19% 18% 19% 15% 17% 14% 20% 14% 17% 8% 14% 16% 14%

kO IKO IKO iKO SU U U


- - - - - - - 377 346 392 340 339 320 312 299 144 154 124 84 49 42 89 93 107- - - - - - - 18% 17% 19% 17% 17% 16% 16% 15% 15% 15% 22% 17% 11% 10% 15% 16% 16%

nO mNO sTU TU

Small Businesses





Summary Of Poor





-** -** -** -** -** -** -** 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - - - - - - 284 231 326 304 267 265 240 297 150 147 140 60 55 42 82 103 91- - - - - - - 14% 11% 16% 16% 13% 14% 12% 15% 16% 14% 24% 12% 12% 10% 14% 18% 14%

i IlN IN IN STU v

Food & Beverage

- - - - - - - - 243 334 245 249 266 259 289 154 135 131 86 41 31 91 91 94- - - - - - - - 12% 16% 13% 12% 14% 13% 15% 16% 13% 23% 17% 9% 7% 15% 16% 14%

IKLmN Il q sTU TU

Telecommunications

- - - - - - - 419 374 480 322 395 327 392 287 151 136 121 78 55 33 85 101 93- - - - - - - 20% 18% 23% 16% 20% 17% 20% 15% 16% 13% 21% 15% 12% 8% 14% 17% 14%

KMO O hIKLMNO KMO KMO sTU U

Financial services

- - - - - - - 268 225 296 233 248 242 275 278 149 129 132 78 39 28 69 84 107- - - - - - - 13% 11% 14% 12% 12% 12% 14% 14% 16% 12% 23% 15% 8% 7% 11% 14% 16%

Ik I I q STU TU v

Retail - grocery

- - - - - - - - - - 253 266 290 313 272 149 123 121 74 50 27 75 89 91- - - - - - - - - - 13% 13% 15% 16% 14% 16% 12% 21% 15% 11% 6% 12% 15% 14%

Kl Q STU U u


- - - - - - - 341 315 330 322 307 333 298 263 135 128 108 75 41 39 83 90 78- - - - - - - 17% 15% 16% 16% 15% 17% 15% 13% 15% 12% 19% 15% 9% 9% 14% 16% 12%

O o O O TU TU

Automotive

- - - - - - - 262 194 308 209 229 247 267 250 136 113 120 63 38 29 68 73 93- - - - - - - 13% 10% 15% 11% 11% 13% 14% 13% 15% 11% 21% 12% 8% 7% 11% 13% 14%

I IKLm I IK I q STU tU

Technology

- - - - - - - 243 226 298 213 230 206 222 240 125 115 120 63 40 18 53 76 88- - - - - - - 12% 11% 14% 11% 12% 11% 11% 12% 13% 11% 21% 12% 9% 4% 9% 13% 13%

HIKLMN STU U U V v




19 Jun 2020Table 336IND01_1 For each of the following industries, do you think that the industry has had a good response or a poor response to the


Financial services






- - - - - - - 941 990 986 965 876 932 935 990 511 480 263 272 240 216 267 292 390- - - - - - - 46% 49% 48% 49% 44% 47% 47% 50% 55% 47% 46% 53% 52% 52% 44% 50% 58%

L l L l l HL Q R v VW

Good

- - - - - - - 419 374 480 322 395 327 392 287 151 136 121 78 55 33 85 101 93- - - - - - - 20% 18% 23% 16% 20% 17% 20% 15% 16% 13% 21% 15% 12% 8% 14% 17% 14%

KMO O hIKLMNO KMO KMO sTU U

Poor

- - - - - - - 689 675 600 675 725 705 642 686 270 415 191 159 167 169 248 188 186- - - - - - - 34% 33% 29% 34% 36% 36% 33% 35% 29% 40% 33% 31% 36% 40% 41% 32% 28%

J J J iJn Jn j J P rS WX

N/A - Not familiar withthis industry’s response

- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Retail






- - - - - - - 1205 1166 1169 1073 1140 1036 1107 1141 573 568 266 310 294 271 329 363 401- - - - - - - 59% 57% 57% 55% 57% 53% 56% 58% 61% 55% 46% 61% 64% 65% 55% 63% 60%

KM M m M m kM Q R R R V

Good

- - - - - - - 393 313 407 373 318 331 400 328 162 166 143 86 52 48 98 98 111- - - - - - - 19% 15% 20% 19% 16% 17% 20% 17% 17% 16% 25% 17% 11% 11% 16% 17% 17%

IL ILmo IL ILMO STU Tu

Poor

- - - - - - - 452 560 490 515 538 598 462 493 197 296 166 112 116 99 173 119 156- - - - - - - 22% 27% 24% 26% 27% 30% 23% 25% 21% 29% 29% 22% 25% 24% 29% 21% 23%

HJN H HjN HJKlNO h P S Wx


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Technology






- - - - - - - 1202 1285 1220 1181 1088 1071 1142 1073 565 508 290 301 251 231 299 327 397- - - - - - - 59% 63% 59% 60% 55% 55% 58% 55% 61% 49% 50% 59% 54% 55% 50% 56% 59%

LMO HJLMNO LMO LMO lmo Q R V V

Good

- - - - - - - 262 194 308 209 229 247 267 250 136 113 120 63 38 29 68 73 93- - - - - - - 13% 10% 15% 11% 11% 13% 14% 13% 15% 11% 21% 12% 8% 7% 11% 13% 14%

I IKLm I IK I q STU tU

Poor

- - - - - - - 586 559 538 571 678 647 560 640 231 410 165 144 174 158 232 180 179- - - - - - - 29% 27% 26% 29% 34% 33% 28% 33% 25% 40% 29% 28% 38% 38% 39% 31% 27%

j HIJKN HIJKN HIJkN P RS RS WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Media






- - - - - - - 966 1078 947 889 847 885 938 909 448 460 273 275 195 165 263 279 337- - - - - - - 47% 53% 46% 45% 42% 45% 48% 46% 48% 45% 48% 54% 42% 40% 44% 48% 50%

L HJKLMNO l L l U rTU v

Good

- - - - - - - 722 600 763 650 758 664 708 611 318 293 158 127 163 164 176 194 196- - - - - - - 35% 29% 37% 33% 38% 34% 36% 31% 34% 28% 27% 25% 35% 39% 29% 33% 29%

IO IkO I IKMO I IO Q RS RS

Poor

- - - - - - - 362 361 357 421 391 416 323 444 166 277 144 106 104 89 161 108 135- - - - - - - 18% 18% 17% 21% 20% 21% 16% 23% 18% 27% 25% 21% 23% 21% 27% 19% 20%

HIJN N HIJN HIJlN P WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Automotive






- - - - - - - 974 930 1059 992 900 945 945 990 535 455 258 282 248 203 254 313 383- - - - - - - 48% 46% 51% 51% 45% 48% 48% 50% 57% 44% 45% 55% 54% 49% 42% 54% 57%

hILn IL IL Q R R V V

Good

- - - - - - - 341 315 330 322 307 333 298 263 135 128 108 75 41 39 83 90 78- - - - - - - 17% 15% 16% 16% 15% 17% 15% 13% 15% 12% 19% 15% 9% 9% 14% 16% 12%

O o O O TU TU

Poor

- - - - - - - 734 794 677 647 789 687 726 710 262 448 209 152 173 175 262 178 208- - - - - - - 36% 39% 33% 33% 40% 35% 37% 36% 28% 43% 36% 30% 37% 42% 44% 31% 31%

hJKM HJKMo JK j P s s S WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - 1562 1567 1524 1465 1528 1443 1518 1389 661 728 326 366 348 349 418 448 461- - - - - - - 76% 77% 74% 75% 77% 73% 77% 71% 71% 71% 57% 72% 75% 83% 70% 77% 69%

O jmO o O mO JMO R R RST VX

Good

- - - - - - - 243 226 298 213 230 206 222 240 125 115 120 63 40 18 53 76 88- - - - - - - 12% 11% 14% 11% 12% 11% 11% 12% 13% 11% 21% 12% 9% 4% 9% 13% 13%

HIKLMN STU U U V v

Poor

- - - - - - - 245 246 244 283 237 316 229 334 146 187 129 79 75 51 128 57 120- - - - - - - 12% 12% 12% 14% 12% 16% 12% 17% 16% 18% 22% 16% 16% 12% 21% 10% 18%

hijlN HIJLN HIJkLN STU W W


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Food & Beverage






- - - - - - - 1381 1386 1331 1217 1316 1230 1317 1224 598 626 293 343 297 291 359 372 435- - - - - - - 67% 68% 64% 62% 66% 63% 67% 62% 64% 61% 51% 68% 64% 70% 60% 64% 65%

KMO jKMO kmo KMO R R R

Good

- - - - - - - 284 231 326 304 267 265 240 297 150 147 140 60 55 42 82 103 91- - - - - - - 14% 11% 16% 16% 13% 14% 12% 15% 16% 14% 24% 12% 12% 10% 14% 18% 14%

i IlN IN IN STU v

Poor

- - - - - - - 384 421 409 440 413 469 413 442 184 257 142 105 111 84 159 105 143- - - - - - - 19% 21% 20% 22% 21% 24% 21% 23% 20% 25% 25% 21% 24% 20% 27% 18% 21%

H HiJln Hj P Wx


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Entertainment






- - - - - - - 1120 1144 1104 997 975 947 992 969 488 480 277 294 220 179 269 285 371- - - - - - - 55% 56% 53% 51% 49% 48% 50% 49% 52% 47% 48% 58% 47% 43% 45% 49% 56%

kLMNO KLMNO LMO Q RTU Vw

Good

- - - - - - - 411 362 448 406 402 381 443 415 213 202 141 92 96 86 121 132 133- - - - - - - 20% 18% 22% 21% 20% 19% 23% 21% 23% 20% 25% 18% 21% 21% 20% 23% 20%

I i Im I S

Poor

- - - - - - - 519 533 514 559 619 638 534 579 231 348 157 122 147 153 210 164 164- - - - - - - 25% 26% 25% 28% 31% 32% 27% 30% 25% 34% 27% 24% 32% 37% 35% 28% 25%

hJ HIJN HIJKN HiJ P S RS WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - 817 866 841 773 793 819 835 876 455 421 260 266 203 147 226 255 350- - - - - - - 40% 42% 41% 39% 40% 42% 42% 45% 49% 41% 45% 52% 44% 35% 38% 44% 52%

HJKL Q U rTU U V VW

Good

- - - - - - - 602 578 715 654 548 514 558 538 265 274 149 110 136 143 153 182 175- - - - - - - 29% 28% 35% 33% 27% 26% 28% 27% 28% 27% 26% 22% 29% 34% 26% 31% 26%

m HILMNO HILMNO S RS V

Poor

- - - - - - - 631 595 510 534 655 632 576 549 213 336 166 132 124 128 221 144 143- - - - - - - 31% 29% 25% 27% 33% 32% 29% 28% 23% 33% 29% 26% 27% 31% 37% 25% 21%

Jk J IJKnO JKO J j P WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Airlines






- - - - - - - 795 892 870 759 747 799 786 827 426 401 242 246 183 156 205 248 336- - - - - - - 39% 44% 42% 39% 37% 41% 40% 42% 46% 39% 42% 48% 40% 37% 34% 43% 50%

HKLn hkL hkL Q TU V VW

Good

- - - - - - - 635 577 670 689 639 535 623 576 296 280 147 122 159 149 160 182 200- - - - - - - 31% 28% 32% 35% 32% 27% 32% 29% 32% 27% 26% 24% 34% 36% 27% 31% 30%

M IMo HIMnO IM iM q RS RS

Poor

- - - - - - - 620 570 526 513 610 631 560 560 210 350 185 141 120 113 234 150 132- - - - - - - 30% 28% 25% 26% 31% 32% 28% 29% 23% 34% 32% 28% 26% 27% 39% 26% 20%

JK JK IJKNo j j P t WX x


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Non-profits






- - - - - - - 1090 1093 1118 1006 1017 1042 1065 963 480 483 247 275 236 205 278 303 351- - - - - - - 53% 54% 54% 51% 51% 53% 54% 49% 52% 47% 43% 54% 51% 49% 46% 52% 53%

O O O o O R R v v

Good

- - - - - - - 290 279 338 257 266 266 287 300 162 138 136 79 55 31 82 98 106- - - - - - - 14% 14% 16% 13% 13% 14% 15% 15% 17% 13% 24% 16% 12% 7% 14% 17% 16%

iKLM Q STU U u

Poor

- - - - - - - 670 667 610 697 713 656 617 699 290 410 191 155 172 182 240 180 211- - - - - - - 33% 33% 30% 36% 36% 33% 31% 36% 31% 40% 33% 30% 37% 44% 40% 31% 32%

j j JN JN J JN P s RS WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Real estate






- - - - - - - 670 697 792 783 671 714 671 830 449 381 225 244 200 161 213 250 342- - - - - - - 33% 34% 38% 40% 34% 36% 34% 42% 48% 37% 39% 48% 43% 38% 36% 43% 51%

HILN HILmN h HIJLMN Q RU V VW

Good

- - - - - - - 404 349 431 349 341 359 402 343 166 177 143 81 63 56 93 109 114- - - - - - - 20% 17% 21% 18% 17% 18% 20% 17% 18% 17% 25% 16% 14% 13% 16% 19% 17%

il IkLO ILo STU

Poor

- - - - - - - 976 993 844 829 984 892 896 791 318 473 207 183 199 202 293 221 212- - - - - - - 48% 49% 41% 42% 49% 45% 46% 40% 34% 46% 36% 36% 43% 48% 49% 38% 32%

JKO JKmO JKmnO JO JO P rs RS WX x


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Retail - grocery






- - - - - - - 1511 1530 1465 1405 1452 1405 1433 1380 661 718 323 343 365 349 412 424 475- - - - - - - 74% 75% 71% 72% 73% 72% 73% 70% 71% 70% 56% 67% 79% 83% 69% 73% 71%

o JkMO R RS RS

Good

- - - - - - - 268 225 296 233 248 242 275 278 149 129 132 78 39 28 69 84 107- - - - - - - 13% 11% 14% 12% 12% 12% 14% 14% 16% 12% 23% 15% 8% 7% 11% 14% 16%

Ik I I q STU TU v

Poor

- - - - - - - 270 284 306 323 296 318 261 306 122 184 120 87 58 41 119 74 86- - - - - - - 13% 14% 15% 16% 15% 16% 13% 16% 13% 18% 21% 17% 13% 10% 20% 13% 13%

HiN HN hn P TU U WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - 1178 1237 1214 1195 1118 1128 1150 1139 590 550 284 307 271 278 317 357 420- - - - - - - 57% 61% 59% 61% 56% 57% 58% 58% 63% 53% 49% 60% 59% 67% 53% 61% 63%

hL hLm Q R R Rt V V

Good

- - - - - - - 377 327 401 306 380 347 368 299 154 145 118 71 77 34 86 94 92- - - - - - - 18% 16% 19% 16% 19% 18% 19% 15% 17% 14% 20% 14% 17% 8% 14% 16% 14%

kO IKO IKO iKO SU U U

Poor

- - - - - - - 495 476 451 460 498 489 450 525 189 336 173 130 115 106 197 130 157- - - - - - - 24% 23% 22% 23% 25% 25% 23% 27% 20% 33% 30% 26% 25% 25% 33% 22% 23%

j j IJkN P WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Oil






- - - - - - - 724 737 782 829 678 723 720 858 461 397 231 247 205 175 226 251 350- - - - - - - 35% 36% 38% 42% 34% 37% 37% 44% 49% 39% 40% 49% 44% 42% 38% 43% 52%

L HIJLMN HIJLMN Q R v VW

Good

- - - - - - - 468 394 508 344 358 380 426 310 166 144 127 81 50 52 98 101 95- - - - - - - 23% 19% 25% 18% 18% 19% 22% 16% 18% 14% 22% 16% 11% 13% 16% 17% 14%

IKLMO O IKLMnO O KLO q STU t

Poor

- - - - - - - 858 908 777 789 960 862 823 795 305 490 217 180 208 190 275 229 224- - - - - - - 42% 45% 38% 40% 48% 44% 42% 41% 33% 48% 38% 35% 45% 46% 46% 39% 34%

J JKO HiJKMNO Jko J P rS RS WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Restaurants






- - - - - - - 1361 1398 1332 1226 1321 1250 1325 1230 594 636 314 323 312 282 344 390 442- - - - - - - 66% 69% 64% 62% 66% 64% 67% 63% 64% 62% 55% 63% 67% 67% 57% 67% 66%

KO JKMO ko KmO R R R V V

Good

- - - - - - - 369 306 410 413 340 311 321 362 178 184 133 96 71 62 105 113 117- - - - - - - 18% 15% 20% 21% 17% 16% 16% 18% 19% 18% 23% 19% 15% 15% 18% 20% 17%

I IlMN hILMN Im TU

Poor

- - - - - - - 320 335 324 323 335 404 324 371 160 211 128 90 79 74 151 78 110- - - - - - - 16% 16% 16% 16% 17% 21% 16% 19% 17% 20% 22% 18% 17% 18% 25% 13% 16%

HIJKLN HJ WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Manufacturing






- - - - - - - 1074 1080 1062 1021 951 964 997 1000 535 465 246 288 256 210 269 320 367- - - - - - - 52% 53% 51% 52% 48% 49% 51% 51% 57% 45% 43% 57% 55% 50% 45% 55% 55%

Lm Lm l L Q R R r V V

Good

- - - - - - - 360 348 457 369 382 309 355 375 175 200 148 90 74 63 102 119 133- - - - - - - 18% 17% 22% 19% 19% 16% 18% 19% 19% 19% 26% 18% 16% 15% 17% 21% 20%

HIKlMNo m M M STU

Poor

- - - - - - - 616 611 546 571 663 691 618 588 223 365 180 129 133 145 228 142 168- - - - - - - 30% 30% 26% 29% 33% 35% 31% 30% 24% 35% 31% 25% 29% 35% 38% 24% 25%

J J hiJKo HIJKNO J J P s S WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Small Businesses






- - - - - - - 1167 1205 1198 1109 1132 1103 1202 1127 568 558 282 289 299 257 296 355 421- - - - - - - 57% 59% 58% 57% 57% 56% 61% 57% 61% 54% 49% 57% 65% 61% 49% 61% 63%

HKLMo Q R RS R V V

Good

- - - - - - - 377 346 392 340 339 320 312 299 144 154 124 84 49 42 89 93 107- - - - - - - 18% 17% 19% 17% 17% 16% 16% 15% 15% 15% 22% 17% 11% 10% 15% 16% 16%

nO mNO sTU TU

Poor

- - - - - - - 506 488 477 512 526 542 455 537 220 318 168 135 114 119 215 132 140- - - - - - - 25% 24% 23% 26% 26% 28% 23% 27% 24% 31% 29% 27% 25% 29% 36% 23% 21%

jn jn hIJN IJN P WX


- - - - - - - 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Telecommunications






- - - - - - - - 1176 1153 1115 1000 974 1052 1047 557 490 257 277 269 243 287 331 393- - - - - - - - 58% 56% 57% 50% 50% 53% 53% 60% 48% 45% 55% 58% 58% 48% 57% 59%

LMNO LM LMno lm m Q R R R V V

Good

- - - - - - - - 243 334 245 249 266 259 289 154 135 131 86 41 31 91 91 94- - - - - - - - 12% 16% 13% 12% 14% 13% 15% 16% 13% 23% 17% 9% 7% 15% 16% 14%

IKLmN Il q sTU TU

Poor

- - - - - - - - 620 579 601 747 724 658 627 222 405 186 145 152 143 222 159 182- - - - - - - - 30% 28% 31% 37% 37% 33% 32% 24% 39% 32% 28% 33% 34% 37% 27% 27%

IJKNO IJKnO iJ J P WX


- - - - - - - - 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Retail - apparel






- - - - - - - - 1034 1069 1006 965 947 990 1044 513 531 261 300 270 213 277 347 377- - - - - - - - 51% 52% 51% 48% 48% 50% 53% 55% 52% 45% 59% 58% 51% 46% 60% 56%

lm LM RU Ru V V

Good

- - - - - - - - 302 384 333 350 302 361 317 159 158 128 73 53 63 94 91 112- - - - - - - - 15% 19% 17% 18% 15% 18% 16% 17% 15% 22% 14% 11% 15% 16% 16% 17%

IM i Im STU

Poor

- - - - - - - - 703 613 622 681 716 618 602 260 342 186 135 139 142 229 142 180- - - - - - - - 34% 30% 32% 34% 36% 31% 31% 28% 33% 32% 27% 30% 34% 38% 24% 27%

JnO Jo JKNO P s S WX


- - - - - - - - 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - - - - 1112 1017 1024 1039 1022 519 503 260 294 236 233 294 318 373- - - - - - - - - - 57% 51% 52% 53% 52% 56% 49% 45% 58% 51% 56% 49% 55% 56%

LMnO Q Rt R v v

Good

- - - - - - - - - - 253 266 290 313 272 149 123 121 74 50 27 75 89 91- - - - - - - - - - 13% 13% 15% 16% 14% 16% 12% 21% 15% 11% 6% 12% 15% 14%

Kl Q STU U u

Poor

- - - - - - - - - - 596 713 652 618 669 264 405 194 141 176 158 231 174 205- - - - - - - - - - 30% 36% 33% 31% 34% 28% 39% 34% 28% 38% 38% 39% 30% 31%

KN k P s S S WX


- - - - - - - - - - 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Insurance






- - - - - - - - - - 1024 964 1016 1012 963 499 464 244 262 249 207 268 297 358- - - - - - - - - - 52% 48% 52% 51% 49% 54% 45% 43% 52% 54% 50% 45% 51% 53%

l l Q R R r V V

Good

- - - - - - - - - - 308 330 329 353 311 159 153 128 86 59 38 88 105 102- - - - - - - - - - 16% 17% 17% 18% 16% 17% 15% 22% 17% 13% 9% 15% 18% 15%

sTU U

Poor

- - - - - - - - - - 629 702 620 605 689 275 414 202 160 154 173 244 179 209- - - - - - - - - - 32% 35% 32% 31% 35% 29% 40% 35% 31% 33% 41% 41% 31% 31%

mN mN P St WX


- - - - - - - - - - 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Summary Of Good





- - - - - - - 1562 1567 1524 1465 1528 1443 1518 1389 661 728 326 366 348 349 418 448 461- - - - - - - 87% 87% 84% 87% 87% 87% 87% 85% 84% 86% 73% 85% 90% 95% 89% 86% 84%

J J J J J J R R RST x


- - - - - - - 1511 1530 1465 1405 1452 1405 1433 1380 661 718 323 343 365 349 412 424 475- - - - - - - 85% 87% 83% 86% 85% 85% 84% 83% 82% 85% 71% 81% 90% 92% 86% 84% 82%

JNO R RS RS

Retail - grocery

- - - - - - - 1202 1285 1220 1181 1088 1071 1142 1073 565 508 290 301 251 231 299 327 397- - - - - - - 82% 87% 80% 85% 83% 81% 81% 81% 81% 82% 71% 83% 87% 89% 82% 82% 81%

HJLMNO JmNO R R Rs

Technology

- - - - - - - 1381 1386 1331 1217 1316 1230 1317 1224 598 626 293 343 297 291 359 372 435- - - - - - - 83% 86% 80% 80% 83% 82% 85% 80% 80% 81% 68% 85% 84% 87% 81% 78% 83%

hJKMO jk JKO R R R

Food & Beverage

- - - - - - - 1178 1237 1214 1195 1118 1128 1150 1139 590 550 284 307 271 278 317 357 420- - - - - - - 76% 79% 75% 80% 75% 76% 76% 79% 79% 79% 71% 81% 78% 89% 79% 79% 82%

hJLn HJLN hJLn R r RST


- - - - - - - 1167 1205 1198 1109 1132 1103 1202 1127 568 558 282 289 299 257 296 355 421- - - - - - - 76% 78% 75% 77% 77% 78% 79% 79% 80% 78% 69% 77% 86% 86% 77% 79% 80%

HJ hj R RS RS

Small Businesses

- - - - - - - 974 930 1059 992 900 945 945 990 535 455 258 282 248 203 254 313 383- - - - - - - 74% 75% 76% 76% 75% 74% 76% 79% 80% 78% 70% 79% 86% 84% 75% 78% 83%

HILM R Rs R V

Automotive

- - - - - - - - - - 1112 1017 1024 1039 1022 519 503 260 294 236 233 294 318 373- - - - - - - - - - 81% 79% 78% 77% 79% 78% 80% 68% 80% 82% 90% 80% 78% 80%

mN R R RSt


- - - - - - - - 1176 1153 1115 1000 974 1052 1047 557 490 257 277 269 243 287 331 393- - - - - - - - 83% 78% 82% 80% 79% 80% 78% 78% 78% 66% 76% 87% 89% 76% 78% 81%

JMO Jmo R RS RS

Telecommunications

- - - - - - - 1205 1166 1169 1073 1140 1036 1107 1141 573 568 266 310 294 271 329 363 401- - - - - - - 75% 79% 74% 74% 78% 76% 73% 78% 78% 77% 65% 78% 85% 85% 77% 79% 78%

hJKN JkN jkN R Rs Rs

Retail

- - - - - - - 941 990 986 965 876 932 935 990 511 480 263 272 240 216 267 292 390- - - - - - - 69% 73% 67% 75% 69% 74% 70% 78% 77% 78% 68% 78% 81% 87% 76% 74% 81%

Jl HJLN HJL HIJLN R R RS w

Financial services

- - - - - - - 1361 1398 1332 1226 1321 1250 1325 1230 594 636 314 323 312 282 344 390 442- - - - - - - 79% 82% 76% 75% 80% 80% 81% 77% 77% 78% 70% 77% 81% 82% 77% 77% 79%

K HJKO jK JK JKo r R R

Restaurants

- - - - - - - - 1034 1069 1006 965 947 990 1044 513 531 261 300 270 213 277 347 377- - - - - - - - 77% 74% 75% 73% 76% 73% 77% 76% 77% 67% 80% 84% 77% 75% 79% 77%

jlN R R R

Retail - apparel

- - - - - - - 1090 1093 1118 1006 1017 1042 1065 963 480 483 247 275 236 205 278 303 351- - - - - - - 79% 80% 77% 80% 79% 80% 79% 76% 75% 78% 65% 78% 81% 87% 77% 76% 77%

o R R RS

Non-profits

- - - - - - - - - - 1024 964 1016 1012 963 499 464 244 262 249 207 268 297 358- - - - - - - - - - 77% 75% 76% 74% 76% 76% 75% 66% 75% 81% 85% 75% 74% 78%

R R RS

Insurance





Summary Of Good





- - - - - - - 724 737 782 829 678 723 720 858 461 397 231 247 205 175 226 251 350- - - - - - - 61% 65% 61% 71% 65% 66% 63% 73% 74% 73% 64% 75% 80% 77% 70% 71% 79%

hj HIJLMN hj hj HIJLMN R R R Vw

Oil

- - - - - - - 1074 1080 1062 1021 951 964 997 1000 535 465 246 288 256 210 269 320 367- - - - - - - 75% 76% 70% 73% 71% 76% 74% 73% 75% 70% 62% 76% 78% 77% 72% 73% 73%

Jl JL JL j q R R R

Manufacturing

- - - - - - - 670 697 792 783 671 714 671 830 449 381 225 244 200 161 213 250 342- - - - - - - 62% 67% 65% 69% 66% 67% 63% 71% 73% 68% 61% 75% 76% 74% 70% 70% 75%

HjN HiJlmN R R R

Real estate

- - - - - - - 1120 1144 1104 997 975 947 992 969 488 480 277 294 220 179 269 285 371- - - - - - - 73% 76% 71% 71% 71% 71% 69% 70% 70% 70% 66% 76% 70% 67% 69% 68% 74%

n JKLMNO Ru

Entertainment

- - - - - - - 817 866 841 773 793 819 835 876 455 421 260 266 203 147 226 255 350- - - - - - - 58% 60% 54% 54% 59% 61% 60% 62% 63% 61% 64% 71% 60% 51% 60% 58% 67%

JK JK JK JK hJK U rTU u vW


- - - - - - - 966 1078 947 889 847 885 938 909 448 460 273 275 195 165 263 279 337- - - - - - - 57% 64% 55% 58% 53% 57% 57% 60% 59% 61% 63% 68% 55% 50% 60% 59% 63%

L HJKLMNO L l l JL tU TU

Media

- - - - - - - 795 892 870 759 747 799 786 827 426 401 242 246 183 156 205 248 336- - - - - - - 56% 61% 57% 52% 54% 60% 56% 59% 59% 59% 62% 67% 54% 51% 56% 58% 63%

HjKLN k hKLn KL tU TU

Airlines





Summary Of Poor





- - - - - - - 635 577 670 689 639 535 623 576 296 280 147 122 159 149 160 182 200- - - - - - - 44% 39% 43% 48% 46% 40% 44% 41% 41% 41% 38% 33% 46% 49% 44% 42% 37%

Im i IjMO IMO Im rS RS

Airlines

- - - - - - - 722 600 763 650 758 664 708 611 318 293 158 127 163 164 176 194 196- - - - - - - 43% 36% 45% 42% 47% 43% 43% 40% 41% 39% 37% 32% 45% 50% 40% 41% 37%

I IO I HIKmnO I I I rS RS

Media

- - - - - - - 602 578 715 654 548 514 558 538 265 274 149 110 136 143 153 182 175- - - - - - - 42% 40% 46% 46% 41% 39% 40% 38% 37% 39% 36% 29% 40% 49% 40% 42% 33%

o ILMNO ILMNO s S RSt x X


- - - - - - - 411 362 448 406 402 381 443 415 213 202 141 92 96 86 121 132 133- - - - - - - 27% 24% 29% 29% 29% 29% 31% 30% 30% 30% 34% 24% 30% 33% 31% 32% 26%

I I I I hI I S s

Entertainment

- - - - - - - 404 349 431 349 341 359 402 343 166 177 143 81 63 56 93 109 114- - - - - - - 38% 33% 35% 31% 34% 33% 37% 29% 27% 32% 39% 25% 24% 26% 30% 30% 25%

KO o kO o o KO STU

Real estate

- - - - - - - 360 348 457 369 382 309 355 375 175 200 148 90 74 63 102 119 133- - - - - - - 25% 24% 30% 27% 29% 24% 26% 27% 25% 30% 38% 24% 22% 23% 28% 27% 27%

HIMn hIM p STU

Manufacturing

- - - - - - - 468 394 508 344 358 380 426 310 166 144 127 81 50 52 98 101 95- - - - - - - 39% 35% 39% 29% 35% 34% 37% 27% 26% 27% 36% 25% 20% 23% 30% 29% 21%

iKlmO KO iKlmO KO KO KO STU X x

Oil

- - - - - - - - - - 308 330 329 353 311 159 153 128 86 59 38 88 105 102- - - - - - - - - - 23% 25% 24% 26% 24% 24% 25% 34% 25% 19% 15% 25% 26% 22%

STU U

Insurance

- - - - - - - 290 279 338 257 266 266 287 300 162 138 136 79 55 31 82 98 106- - - - - - - 21% 20% 23% 20% 21% 20% 21% 24% 25% 22% 35% 22% 19% 13% 23% 24% 23%

i STU U

Non-profits

- - - - - - - - 302 384 333 350 302 361 317 159 158 128 73 53 63 94 91 112- - - - - - - - 23% 26% 25% 27% 24% 27% 23% 24% 23% 33% 20% 16% 23% 25% 21% 23%

i i I STU

Retail - apparel

- - - - - - - 369 306 410 413 340 311 321 362 178 184 133 96 71 62 105 113 117- - - - - - - 21% 18% 24% 25% 20% 20% 19% 23% 23% 22% 30% 23% 19% 18% 23% 23% 21%

I IlMN HILMN In sTU

Restaurants

- - - - - - - 419 374 480 322 395 327 392 287 151 136 121 78 55 33 85 101 93- - - - - - - 31% 27% 33% 25% 31% 26% 30% 22% 23% 22% 32% 22% 19% 13% 24% 26% 19%

KMO O IKMO iKMO KO STU U x

Financial services

- - - - - - - 393 313 407 373 318 331 400 328 162 166 143 86 52 48 98 98 111- - - - - - - 25% 21% 26% 26% 22% 24% 27% 22% 22% 23% 35% 22% 15% 15% 23% 21% 22%

i ILo Ilo ILO STU tu

Retail

- - - - - - - - 243 334 245 249 266 259 289 154 135 131 86 41 31 91 91 94- - - - - - - - 17% 22% 18% 20% 21% 20% 22% 22% 22% 34% 24% 13% 11% 24% 22% 19%

IK Ik Ik STU TU

Telecommunications

- - - - - - - - - - 253 266 290 313 272 149 123 121 74 50 27 75 89 91- - - - - - - - - - 19% 21% 22% 23% 21% 22% 20% 32% 20% 18% 10% 20% 22% 20%

k K STU U u






Summary Of Poor





- - - - - - - 341 315 330 322 307 333 298 263 135 128 108 75 41 39 83 90 78- - - - - - - 26% 25% 24% 24% 25% 26% 24% 21% 20% 22% 30% 21% 14% 16% 25% 22% 17%

O O O O STU t X

Automotive

- - - - - - - 377 346 392 340 339 320 312 299 144 154 124 84 49 42 89 93 107- - - - - - - 24% 22% 25% 23% 23% 22% 21% 21% 20% 22% 31% 23% 14% 14% 23% 21% 20%

No No STU TU

Small Businesses

- - - - - - - 377 327 401 306 380 347 368 299 154 145 118 71 77 34 86 94 92- - - - - - - 24% 21% 25% 20% 25% 24% 24% 21% 21% 21% 29% 19% 22% 11% 21% 21% 18%

iKo IKO IKO iKo StU U U


- - - - - - - 284 231 326 304 267 265 240 297 150 147 140 60 55 42 82 103 91- - - - - - - 17% 14% 20% 20% 17% 18% 15% 20% 20% 19% 32% 15% 16% 13% 19% 22% 17%

i IlN IlN I IN STU

Food & Beverage

- - - - - - - 262 194 308 209 229 247 267 250 136 113 120 63 38 29 68 73 93- - - - - - - 18% 13% 20% 15% 17% 19% 19% 19% 19% 18% 29% 17% 13% 11% 18% 18% 19%

I IK I Ik IK IK STU u

Technology

- - - - - - - 268 225 296 233 248 242 275 278 149 129 132 78 39 28 69 84 107- - - - - - - 15% 13% 17% 14% 15% 15% 16% 17% 18% 15% 29% 19% 10% 8% 14% 16% 18%

I I I STU TU

Retail - grocery

- - - - - - - 243 226 298 213 230 206 222 240 125 115 120 63 40 18 53 76 88- - - - - - - 13% 13% 16% 13% 13% 13% 13% 15% 16% 14% 27% 15% 10% 5% 11% 14% 16%

HIKLMN STU U U v






Financial services






- - - - - - - 941 990 986 965 876 932 935 990 511 480 263 272 240 216 267 292 390- - - - - - - 69% 73% 67% 75% 69% 74% 70% 78% 77% 78% 68% 78% 81% 87% 76% 74% 81%

Jl HJLN HJL HIJLN R R RS w

Good

- - - - - - - 419 374 480 322 395 327 392 287 151 136 121 78 55 33 85 101 93- - - - - - - 31% 27% 33% 25% 31% 26% 30% 22% 23% 22% 32% 22% 19% 13% 24% 26% 19%

KMO O IKMO iKMO KO STU U x

Poor

- - - - - - - 1361 1364 1466 1286 1271 1260 1327 1277 662 615 384 350 295 249 352 392 482- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Retail






- - - - - - - 1205 1166 1169 1073 1140 1036 1107 1141 573 568 266 310 294 271 329 363 401- - - - - - - 75% 79% 74% 74% 78% 76% 73% 78% 78% 77% 65% 78% 85% 85% 77% 79% 78%

hJKN JkN jkN R Rs Rs

Good

- - - - - - - 393 313 407 373 318 331 400 328 162 166 143 86 52 48 98 98 111- - - - - - - 25% 21% 26% 26% 22% 24% 27% 22% 22% 23% 35% 22% 15% 15% 23% 21% 22%

i ILo Ilo ILO STU tu

Poor

- - - - - - - 1598 1479 1577 1446 1458 1367 1507 1470 735 735 409 396 346 318 427 462 512- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Technology






- - - - - - - 1202 1285 1220 1181 1088 1071 1142 1073 565 508 290 301 251 231 299 327 397- - - - - - - 82% 87% 80% 85% 83% 81% 81% 81% 81% 82% 71% 83% 87% 89% 82% 82% 81%

HJLMNO JmNO R R Rs

Good

- - - - - - - 262 194 308 209 229 247 267 250 136 113 120 63 38 29 68 73 93- - - - - - - 18% 13% 20% 15% 17% 19% 19% 19% 19% 18% 29% 17% 13% 11% 18% 18% 19%

I IK I Ik IK IK STU u

Poor

- - - - - - - 1464 1480 1528 1390 1318 1318 1409 1323 701 621 409 364 289 260 367 401 490- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Media






- - - - - - - 966 1078 947 889 847 885 938 909 448 460 273 275 195 165 263 279 337- - - - - - - 57% 64% 55% 58% 53% 57% 57% 60% 59% 61% 63% 68% 55% 50% 60% 59% 63%

L HJKLMNO L l l JL tU TU

Good

- - - - - - - 722 600 763 650 758 664 708 611 318 293 158 127 163 164 176 194 196- - - - - - - 43% 36% 45% 42% 47% 43% 43% 40% 41% 39% 37% 32% 45% 50% 40% 41% 37%

I IO I HIKmnO I I I rS RS

Poor

- - - - - - - 1688 1678 1710 1540 1605 1549 1646 1519 766 753 431 402 358 329 439 473 533- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Automotive






- - - - - - - 974 930 1059 992 900 945 945 990 535 455 258 282 248 203 254 313 383- - - - - - - 74% 75% 76% 76% 75% 74% 76% 79% 80% 78% 70% 79% 86% 84% 75% 78% 83%

HILM R Rs R V

Good

- - - - - - - 341 315 330 322 307 333 298 263 135 128 108 75 41 39 83 90 78- - - - - - - 26% 25% 24% 24% 25% 26% 24% 21% 20% 22% 30% 21% 14% 16% 25% 22% 17%

O O O O STU t X

Poor

- - - - - - - 1316 1245 1389 1314 1207 1278 1243 1253 671 583 366 356 289 242 337 403 461- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - 1562 1567 1524 1465 1528 1443 1518 1389 661 728 326 366 348 349 418 448 461- - - - - - - 87% 87% 84% 87% 87% 87% 87% 85% 84% 86% 73% 85% 90% 95% 89% 86% 84%

J J J J J J R R RST x

Good

- - - - - - - 243 226 298 213 230 206 222 240 125 115 120 63 40 18 53 76 88- - - - - - - 13% 13% 16% 13% 13% 13% 13% 15% 16% 14% 27% 15% 10% 5% 11% 14% 16%

HIKLMN STU U U v

Poor

- - - - - - - 1805 1793 1822 1678 1759 1649 1740 1629 786 843 446 429 388 366 471 524 549- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Food & Beverage






- - - - - - - 1381 1386 1331 1217 1316 1230 1317 1224 598 626 293 343 297 291 359 372 435- - - - - - - 83% 86% 80% 80% 83% 82% 85% 80% 80% 81% 68% 85% 84% 87% 81% 78% 83%

hJKMO jk JKO R R R

Good

- - - - - - - 284 231 326 304 267 265 240 297 150 147 140 60 55 42 82 103 91- - - - - - - 17% 14% 20% 20% 17% 18% 15% 20% 20% 19% 32% 15% 16% 13% 19% 22% 17%

i IlN IlN I IN STU

Poor

- - - - - - - 1666 1618 1657 1521 1583 1496 1556 1521 748 773 433 403 352 333 441 475 526- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Entertainment






- - - - - - - 1120 1144 1104 997 975 947 992 969 488 480 277 294 220 179 269 285 371- - - - - - - 73% 76% 71% 71% 71% 71% 69% 70% 70% 70% 66% 76% 70% 67% 69% 68% 74%

n JKLMNO Ru

Good

- - - - - - - 411 362 448 406 402 381 443 415 213 202 141 92 96 86 121 132 133- - - - - - - 27% 24% 29% 29% 29% 29% 31% 30% 30% 30% 34% 24% 30% 33% 31% 32% 26%

I I I I hI I S s

Poor

- - - - - - - 1531 1506 1552 1402 1377 1327 1435 1384 701 682 418 386 315 265 390 417 504- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - 817 866 841 773 793 819 835 876 455 421 260 266 203 147 226 255 350- - - - - - - 58% 60% 54% 54% 59% 61% 60% 62% 63% 61% 64% 71% 60% 51% 60% 58% 67%

JK JK JK JK hJK U rTU u vW

Good

- - - - - - - 602 578 715 654 548 514 558 538 265 274 149 110 136 143 153 182 175- - - - - - - 42% 40% 46% 46% 41% 39% 40% 38% 37% 39% 36% 29% 40% 49% 40% 42% 33%

o ILMNO ILMNO s S RSt x X

Poor

- - - - - - - 1419 1444 1557 1427 1341 1333 1393 1414 720 694 409 377 338 290 379 437 525- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Airlines






- - - - - - - 795 892 870 759 747 799 786 827 426 401 242 246 183 156 205 248 336- - - - - - - 56% 61% 57% 52% 54% 60% 56% 59% 59% 59% 62% 67% 54% 51% 56% 58% 63%

HjKLN k hKLn KL tU TU

Good

- - - - - - - 635 577 670 689 639 535 623 576 296 280 147 122 159 149 160 182 200- - - - - - - 44% 39% 43% 48% 46% 40% 44% 41% 41% 41% 38% 33% 46% 49% 44% 42% 37%

Im i IjMO IMO Im rS RS

Poor

- - - - - - - 1430 1469 1540 1448 1386 1334 1409 1403 722 681 390 367 342 304 366 431 536- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Non-profits






- - - - - - - 1090 1093 1118 1006 1017 1042 1065 963 480 483 247 275 236 205 278 303 351- - - - - - - 79% 80% 77% 80% 79% 80% 79% 76% 75% 78% 65% 78% 81% 87% 77% 76% 77%

o R R RS

Good

- - - - - - - 290 279 338 257 266 266 287 300 162 138 136 79 55 31 82 98 106- - - - - - - 21% 20% 23% 20% 21% 20% 21% 24% 25% 22% 35% 22% 19% 13% 23% 24% 23%

i STU U

Poor

- - - - - - - 1380 1372 1456 1264 1283 1309 1352 1264 643 621 383 354 291 236 360 401 457- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Real estate






- - - - - - - 670 697 792 783 671 714 671 830 449 381 225 244 200 161 213 250 342- - - - - - - 62% 67% 65% 69% 66% 67% 63% 71% 73% 68% 61% 75% 76% 74% 70% 70% 75%

HjN HiJlmN R R R

Good

- - - - - - - 404 349 431 349 341 359 402 343 166 177 143 81 63 56 93 109 114- - - - - - - 38% 33% 35% 31% 34% 33% 37% 29% 27% 32% 39% 25% 24% 26% 30% 30% 25%

KO o kO o o KO STU

Poor

- - - - - - - 1074 1046 1223 1132 1012 1073 1073 1172 615 557 368 325 263 216 307 359 456- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Retail - grocery






- - - - - - - 1511 1530 1465 1405 1452 1405 1433 1380 661 718 323 343 365 349 412 424 475- - - - - - - 85% 87% 83% 86% 85% 85% 84% 83% 82% 85% 71% 81% 90% 92% 86% 84% 82%

JNO R RS RS

Good

- - - - - - - 268 225 296 233 248 242 275 278 149 129 132 78 39 28 69 84 107- - - - - - - 15% 13% 17% 14% 15% 15% 16% 17% 18% 15% 29% 19% 10% 8% 14% 16% 18%

I I I STU TU

Poor

- - - - - - - 1780 1755 1760 1638 1700 1647 1708 1657 810 847 455 421 404 377 481 507 582- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - 1178 1237 1214 1195 1118 1128 1150 1139 590 550 284 307 271 278 317 357 420- - - - - - - 76% 79% 75% 80% 75% 76% 76% 79% 79% 79% 71% 81% 78% 89% 79% 79% 82%

hJLn HJLN hJLn R r RST

Good

- - - - - - - 377 327 401 306 380 347 368 299 154 145 118 71 77 34 86 94 92- - - - - - - 24% 21% 25% 20% 25% 24% 24% 21% 21% 21% 29% 19% 22% 11% 21% 21% 18%

iKo IKO IKO iKo StU U U

Poor

- - - - - - - 1555 1563 1616 1501 1498 1476 1519 1438 743 695 401 378 347 312 403 450 512- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Oil






- - - - - - - 724 737 782 829 678 723 720 858 461 397 231 247 205 175 226 251 350- - - - - - - 61% 65% 61% 71% 65% 66% 63% 73% 74% 73% 64% 75% 80% 77% 70% 71% 79%

hj HIJLMN hj hj HIJLMN R R R Vw

Good

- - - - - - - 468 394 508 344 358 380 426 310 166 144 127 81 50 52 98 101 95- - - - - - - 39% 35% 39% 29% 35% 34% 37% 27% 26% 27% 36% 25% 20% 23% 30% 29% 21%

iKlmO KO iKlmO KO KO KO STU X x

Poor

- - - - - - - 1192 1131 1290 1172 1036 1103 1146 1168 627 541 358 328 254 228 324 352 445- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Restaurants






- - - - - - - 1361 1398 1332 1226 1321 1250 1325 1230 594 636 314 323 312 282 344 390 442- - - - - - - 79% 82% 76% 75% 80% 80% 81% 77% 77% 78% 70% 77% 81% 82% 77% 77% 79%

K HJKO jK JK JKo r R R

Good

- - - - - - - 369 306 410 413 340 311 321 362 178 184 133 96 71 62 105 113 117- - - - - - - 21% 18% 24% 25% 20% 20% 19% 23% 23% 22% 30% 23% 19% 18% 23% 23% 21%

I IlMN HILMN In sTU

Poor

- - - - - - - 1730 1704 1742 1638 1661 1561 1645 1592 773 819 447 419 383 343 449 503 559- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Manufacturing






- - - - - - - 1074 1080 1062 1021 951 964 997 1000 535 465 246 288 256 210 269 320 367- - - - - - - 75% 76% 70% 73% 71% 76% 74% 73% 75% 70% 62% 76% 78% 77% 72% 73% 73%

Jl JL JL j q R R R

Good

- - - - - - - 360 348 457 369 382 309 355 375 175 200 148 90 74 63 102 119 133- - - - - - - 25% 24% 30% 27% 29% 24% 26% 27% 25% 30% 38% 24% 22% 23% 28% 27% 27%

HIMn hIM p STU

Poor

- - - - - - - 1434 1428 1520 1390 1333 1274 1351 1375 709 665 394 379 329 273 371 439 500- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Small Businesses






- - - - - - - 1167 1205 1198 1109 1132 1103 1202 1127 568 558 282 289 299 257 296 355 421- - - - - - - 76% 78% 75% 77% 77% 78% 79% 79% 80% 78% 69% 77% 86% 86% 77% 79% 80%

HJ hj R RS RS

Good

- - - - - - - 377 346 392 340 339 320 312 299 144 154 124 84 49 42 89 93 107- - - - - - - 24% 22% 25% 23% 23% 22% 21% 21% 20% 22% 31% 23% 14% 14% 23% 21% 20%

No No STU TU

Poor

- - - - - - - 1544 1551 1590 1449 1470 1423 1514 1426 713 713 406 373 348 299 385 448 528- - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Telecommunications






- - - - - - - - 1176 1153 1115 1000 974 1052 1047 557 490 257 277 269 243 287 331 393- - - - - - - - 83% 78% 82% 80% 79% 80% 78% 78% 78% 66% 76% 87% 89% 76% 78% 81%

JMO Jmo R RS RS

Good

- - - - - - - - 243 334 245 249 266 259 289 154 135 131 86 41 31 91 91 94- - - - - - - - 17% 22% 18% 20% 21% 20% 22% 22% 22% 34% 24% 13% 11% 24% 22% 19%

IK Ik Ik STU TU

Poor

- - - - - - - - 1419 1487 1360 1249 1241 1311 1336 711 626 388 364 310 274 378 422 487- - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Retail - apparel






- - - - - - - - 1034 1069 1006 965 947 990 1044 513 531 261 300 270 213 277 347 377- - - - - - - - 77% 74% 75% 73% 76% 73% 77% 76% 77% 67% 80% 84% 77% 75% 79% 77%

jlN R R R

Good

- - - - - - - - 302 384 333 350 302 361 317 159 158 128 73 53 63 94 91 112- - - - - - - - 23% 26% 25% 27% 24% 27% 23% 24% 23% 33% 20% 16% 23% 25% 21% 23%

i i I STU

Poor

- - - - - - - - 1336 1453 1339 1315 1249 1351 1361 672 689 389 373 323 275 371 439 489- - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma











- - - - - - - - - - 1112 1017 1024 1039 1022 519 503 260 294 236 233 294 318 373- - - - - - - - - - 81% 79% 78% 77% 79% 78% 80% 68% 80% 82% 90% 80% 78% 80%

mN R R RSt

Good

- - - - - - - - - - 253 266 290 313 272 149 123 121 74 50 27 75 89 91- - - - - - - - - - 19% 21% 22% 23% 21% 22% 20% 32% 20% 18% 10% 20% 22% 20%

k K STU U u

Poor

- - - - - - - - - - 1365 1283 1313 1351 1294 669 626 381 367 286 260 369 407 464- - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Insurance






- - - - - - - - - - 1024 964 1016 1012 963 499 464 244 262 249 207 268 297 358- - - - - - - - - - 77% 75% 76% 74% 76% 76% 75% 66% 75% 81% 85% 75% 74% 78%

R R RS

Good

- - - - - - - - - - 308 330 329 353 311 159 153 128 86 59 38 88 105 102- - - - - - - - - - 23% 25% 24% 26% 24% 24% 25% 34% 25% 19% 15% 25% 26% 22%

STU U

Poor

- - - - - - - - - - 1332 1294 1345 1364 1274 658 617 373 349 308 245 355 402 460- - - - - - - - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 382Q43 Which of the following industries do you think should provide solutions during the Covid-19 outbreak? Please select all that apply.






- - 1140 1244 - 1165 1174 1265 1189 1168 1128 1198 1123 1157 1013 468 544 246 245 260 261 312 330 316- - 56% 62% - 58% 58% 62% 58% 57% 58% 60% 57% 59% 52% 50% 53% 43% 48% 56% 62% 52% 57% 47%

O CfGiJKMO O O CFGiJKMO O O O cjO O O RS RS X


- - 1163 1203 - 1110 1122 1175 1161 1115 1053 1126 1044 1067 918 441 476 201 240 227 249 279 287 311- - 57% 60% - 55% 55% 57% 57% 54% 54% 56% 53% 54% 47% 47% 46% 35% 47% 49% 60% 46% 49% 46%

jkMnO FGJKMNO O O jkMO mO O O mO O O R R RST


- - 683 856 - 856 817 845 816 818 793 746 749 710 608 321 287 149 181 142 135 170 184 222- - 34% 42% - 43% 40% 41% 40% 40% 40% 37% 38% 36% 31% 34% 28% 26% 36% 31% 32% 28% 32% 33%

CLMNO CLMNO CNO CLNO CNO CnO CNO cO CO O Q R r

Technology

- - 505 613 - 556 616 690 635 665 617 626 612 594 491 215 277 145 129 113 105 167 159 147- - 25% 30% - 28% 30% 34% 31% 32% 31% 31% 31% 30% 25% 23% 27% 25% 25% 24% 25% 28% 27% 22%

CO CO CdFgnO CfO CFO CFO CFO CfO CO x

Retail - grocery

- - 488 647 - 628 547 610 629 673 588 586 523 512 469 221 248 108 139 118 105 146 148 157- - 24% 32% - 31% 27% 30% 31% 33% 30% 29% 27% 26% 24% 24% 24% 19% 27% 25% 25% 24% 25% 23%

CGMNO CGMNO co CmNO CGMNO CGlMNO CgmNO CnO R R r

Manufacturing

- - 358 451 - 437 465 542 515 535 475 520 490 505 467 211 256 149 105 109 105 166 139 138- - 18% 22% - 22% 23% 26% 25% 26% 24% 26% 25% 26% 24% 23% 25% 26% 21% 24% 25% 28% 24% 21%

C C C CDFG CdF CDFg C CDFg Cf CdF C X

Restaurants

- - 433 559 - 453 497 585 541 520 454 477 495 530 463 224 238 158 133 107 65 145 138 167- - 21% 28% - 23% 24% 29% 27% 25% 23% 24% 25% 27% 24% 24% 23% 27% 26% 23% 15% 24% 24% 25%

CFgKLO c CFGjKLmO CFko C C CFKlo U U U

Media

- - 420 541 - 492 530 596 588 607 519 566 547 562 459 207 252 147 125 88 98 154 131 150- - 21% 27% - 24% 26% 29% 29% 29% 26% 28% 28% 29% 23% 22% 24% 26% 25% 19% 23% 26% 23% 23%

CO C C CFgO CFO CFgO Co CFO CfO CFO t

Food & Beverage

- - 361 488 - 405 426 438 426 450 408 458 419 441 440 200 240 128 113 102 96 136 130 151- - 18% 24% - 20% 21% 21% 21% 22% 21% 23% 21% 22% 22% 21% 23% 22% 22% 22% 23% 23% 22% 23%

CFghIkm C C c C c Cf C C C


- - 337 430 - 377 409 397 461 452 434 455 444 433 431 192 238 125 104 99 102 122 130 154- - 17% 21% - 19% 20% 19% 23% 22% 22% 23% 23% 22% 22% 21% 23% 22% 20% 21% 25% 20% 22% 23%

C C c CFH Cf CFh CFgH CFH CFh CF

Airlines

- - - - - - - 522 472 570 505 451 499 509 417 201 216 124 126 101 66 144 115 137- - - - - - - 25% 23% 28% 26% 23% 25% 26% 21% 22% 21% 22% 25% 22% 16% 24% 20% 20%

CDFGlO CDFG CDFGILO CDFGlO CDFG CDFGO CDFGlO CDFG u U u

Telecommunications

- - - - - - - - - - 576 504 566 554 406 175 231 130 116 94 66 137 125 127- - - - - - - - - - 29% 25% 29% 28% 21% 19% 22% 23% 23% 20% 16% 23% 22% 19%

CDFGHIJLO CDFGHIJO CDFGHIJLO CDFGHIJlO CDFGHIJ U U


- - 497 573 - 584 581 654 576 651 559 573 593 569 395 207 188 133 123 77 62 121 121 137- - 25% 28% - 29% 29% 32% 28% 31% 29% 29% 30% 29% 20% 22% 18% 23% 24% 17% 15% 20% 21% 20%

O CO CO CO CdgIklnO CO CdiO CO CO CO CO q TU TU

Financial services

- - 304 328 - 343 384 384 378 414 396 383 378 395 338 160 178 115 85 81 57 119 102 104- - 15% 16% - 17% 19% 19% 19% 20% 20% 19% 19% 20% 17% 17% 17% 20% 17% 18% 14% 20% 18% 16%

Cd C C CDfo CDFo Cd Cd CDfo U

Small Businesses

- - 232 295 - 333 358 391 369 407 330 361 363 366 331 156 175 117 94 63 57 115 92 110- - 11% 15% - 17% 18% 19% 18% 20% 17% 18% 18% 19% 17% 17% 17% 20% 18% 14% 14% 19% 16% 16%

C C CD CDf CD CDFko C CD CD CD C TU

Entertainment



19 Jun 2020Table 382Q43 Which of the following industries do you think should provide solutions during the Covid-19 outbreak? Please select all that apply.





-** -** 2023 2016 -** 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669Weighted Base- - 321 358 - 342 400 410 330 424 389 360 413 373 331 165 165 107 89 73 61 125 96 92- - 16% 18% - 17% 20% 20% 16% 21% 20% 18% 21% 19% 17% 18% 16% 19% 18% 16% 15% 21% 17% 14%

CfIo CFIO CdFIO CfIo CDFIlO Ci wX

Retail

- - - - - - - - 281 304 304 263 299 295 295 150 146 102 78 59 56 92 80 109- - - - - - - - 14% 15% 16% 13% 15% 15% 15% 16% 14% 18% 15% 13% 13% 15% 14% 16%

CDFGH CDFGH CDFGH CDFGH CDFGH CDFGH CDFGH t

Retail - apparel

- - 312 400 - 402 448 476 453 467 434 387 445 436 290 121 169 89 85 68 47 96 92 88- - 15% 20% - 20% 22% 23% 22% 23% 22% 19% 23% 22% 15% 13% 16% 16% 17% 15% 11% 16% 16% 13%

CO CO ClO CDFLO ClO CdLO CO CO CdLO ClO p u

Non-profits

- - 234 314 - 313 311 343 296 354 321 311 318 328 272 136 136 91 75 49 57 99 76 91- - 12% 16% - 16% 15% 17% 15% 17% 16% 16% 16% 17% 14% 15% 13% 16% 15% 11% 14% 16% 13% 14%

C C C CO C CiO Co C C Co c t

Automotive

- - 251 276 - 299 264 335 290 377 322 314 332 320 271 136 135 94 86 53 38 86 75 101- - 12% 14% - 15% 13% 16% 14% 18% 16% 16% 17% 16% 14% 15% 13% 16% 17% 11% 9% 14% 13% 15%

c CdGo CDFGIlO CdGo CG CDGiO CdGo tU tU

Oil

- - 196 232 - 244 269 274 244 287 274 242 263 257 244 131 114 89 78 39 39 82 71 85- - 10% 12% - 12% 13% 13% 12% 14% 14% 12% 13% 13% 12% 14% 11% 15% 15% 8% 9% 14% 12% 13%

c C C c Cd Cd c C C C TU TU

Real estate

- - 28 36 - 19 22 30 32 23 26 47 29 24 22 13 9 3 5 6 8 10 4 9- - 1% 2% - 1% 1% 1% 2% 1% 1% 2% 1% 1% 1% 1% 1% * 1% 1% 2% 2% 1% 1%

f cFGhJkNO r

Other

- - 368 328 - 315 342 322 349 310 281 300 318 292 371 134 238 83 84 106 98 136 95 93- - 18% 16% - 16% 17% 16% 17% 15% 14% 15% 16% 15% 19% 14% 23% 14% 17% 23% 23% 23% 16% 14%

fhJKLN k k dFHJKLmN P RS RS WX

N/A - I don’t believe anyof these industries are mostresponsible

- - 8631 10173 - 9673 9983 11284 11030 11592 11188 11255 11260 11231 9741 4585 5156 2833 2638 2236 2034 3157 2917 3196- - 427% 505% - 481% 492% 550% 541% 561% 571% 564% 573% 570% 496% 492% 500% 493% 519% 484% 487% 526% 502% 478%

Sigma



19 Jun 2020Table 383Q36 How likely do you think it is that coronavirus (COVID-19) will cause a global recession?






1578 1629 1730 - - 1731 1683 1713 1710 1727 1677 1675 1647 1584 1604 763 841 437 430 379 357 477 491 56577% 81% 86% - - 86% 83% 84% 84% 84% 86% 84% 84% 80% 82% 82% 82% 76% 85% 82% 86% 80% 84% 84%

A ABgNO ABGhjNO An AbN ABN AbN ABgNO ABN ABN A A R r R V v

Somewhat/Very Likely(Net)

780 869 1046 - - 1042 935 1010 1021 1029 1006 988 976 903 930 458 472 230 279 202 219 271 282 33738% 43% 52% - - 52% 46% 49% 50% 50% 51% 49% 50% 46% 47% 49% 46% 40% 55% 44% 52% 45% 49% 50%

A ABGNO ABGNO A ABgn ABGN ABgN ABGNo ABgn ABgn A AB RT RT

Very likely

798 760 684 - - 689 748 703 689 698 671 687 671 681 673 304 369 207 151 177 138 206 208 22839% 38% 34% - - 34% 37% 34% 34% 34% 34% 34% 34% 35% 34% 33% 36% 36% 30% 38% 33% 34% 36% 34%

CFHIJKLMNO CfhIJklmo ij s S

Somewhat likely

324 267 164 - - 163 196 163 172 198 168 195 176 222 201 113 88 80 45 46 30 57 62 7316% 13% 8% - - 8% 10% 8% 8% 10% 9% 10% 9% 11% 10% 12% 8% 14% 9% 10% 7% 10% 11% 11%

bCFGHIJKLMNO CFGHIJKLMO h CFHIKm cfH Q SU

Not At All/Not VeryLikely (Net)

255 210 122 - - 120 166 122 128 138 123 151 126 165 140 77 63 56 30 32 21 42 45 5112% 10% 6% - - 6% 8% 6% 6% 7% 6% 8% 6% 8% 7% 8% 6% 10% 6% 7% 5% 7% 8% 8%

CFGHIJKLMNO CFgHIJKLMnO CFHikm CFHIKm sU

Not very likely

69 57 42 - - 43 31 40 44 59 45 44 49 57 61 36 25 24 15 14 8 15 17 213% 3% 2% - - 2% 2% 2% 2% 3% 2% 2% 3% 3% 3% 4% 2% 4% 3% 3% 2% 3% 3% 3%

cfGHil G G g G Gh

Not at all likely

148 123 129 - - 118 150 175 156 142 117 127 142 163 158 56 102 57 33 37 31 66 28 317% 6% 6% - - 6% 7% 9% 8% 7% 6% 6% 7% 8% 8% 6% 10% 10% 6% 8% 7% 11% 5% 5%

BCFKL fk BcFKl bcFKl P s WX

I’m not sure

2050 2019 2023 - - 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669100% 100% 100% - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 384Q36A Would you say we are in a global recession due to the coronavirus outbreak?






- - - 1689 1793 1558 1522 1583 1614 1601 1496 1485 1508 1428 1462 682 780 415 401 319 326 439 445 503- - - 84% 90% 77% 75% 77% 79% 77% 76% 74% 77% 73% 74% 73% 76% 72% 79% 69% 78% 73% 77% 75%

FGHIJKLMNO DFGHIJKLMNO lNo lNo GkLNO lNo N N RT rT

Yes

- - - 327 200 455 507 467 425 465 465 511 457 541 501 251 251 159 107 143 91 161 136 166- - - 16% 10% 23% 25% 23% 21% 23% 24% 26% 23% 27% 26% 27% 24% 28% 21% 31% 22% 27% 23% 25%

E DE DEI DE DE DE DEi DEfhIj DE DEFHIJKM DEfhIj Su SU

No

- - - 2016 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 385LI01 Which do you think will have a bigger effect on the life of you and your family?






- - - - 765 696 776 651 750 698 666 655 698 748 692 347 344 237 193 122 139 205 193 259- - - - 38% 35% 38% 32% 37% 34% 34% 33% 36% 38% 35% 37% 33% 41% 38% 26% 33% 34% 33% 39%

FHJKL fHJKL HL H fHJKL h TU T t

Coronavirus/COVID-19itself

- - - - 1228 1317 1253 1399 1289 1369 1295 1341 1267 1221 1271 585 686 337 315 340 278 395 388 409- - - - 62% 65% 62% 68% 63% 66% 66% 67% 64% 62% 65% 63% 67% 59% 62% 74% 67% 66% 67% 61%

Egn EGIMNo EGN EGN EGIN RSu R

The economic impacts ofthe coronavirus pandemic

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma



19 Jun 2020Table 386LI02 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will be

very different, somewhat different or mostly the same?

Summary Of Mostly The Same






- - - - 1147 1182 1159 1146 1146 1072 1015 1123 1046 1081 1077 477 600 271 253 285 268 325 331 366- - - - 58% 59% 57% 56% 56% 52% 52% 56% 53% 55% 55% 51% 58% 47% 50% 62% 64% 54% 57% 55%

JKM JKMno JKm JK JK JK P RS RS

Family life

- - - - 935 999 1016 1100 1017 946 884 996 996 947 1026 418 608 262 247 268 249 343 305 318- - - - 47% 50% 50% 54% 50% 46% 45% 50% 51% 48% 52% 45% 59% 46% 49% 58% 60% 57% 52% 48%

JK JK EFgiJKlN JK JK eJK EJKN P RS RS X

Personal hygiene

- - - - 1086 1053 1095 1051 1052 989 958 1017 995 933 1013 458 554 242 236 278 257 319 318 318- - - - 54% 52% 54% 51% 52% 48% 49% 51% 51% 47% 52% 49% 54% 42% 46% 60% 62% 53% 55% 48%

hJKlmN JkN JKmN jN jN n jN RS RS x

Eating habits

- - - - 1031 1027 944 954 913 883 910 954 890 903 931 418 512 212 206 222 290 302 293 284- - - - 52% 51% 47% 47% 45% 43% 46% 48% 45% 46% 47% 45% 50% 37% 41% 48% 69% 50% 51% 42%

GHIJKLMNO GHIJKMNo J j j J J p Rs RST X X

Work life

- - - - 823 748 802 742 742 634 638 659 662 658 754 367 387 197 199 188 171 257 216 240- - - - 41% 37% 40% 36% 36% 31% 33% 33% 34% 33% 38% 39% 38% 34% 39% 41% 41% 43% 37% 36%

FHIJKLMN JKLmN hiJKLMN Jkl JKl JKLMN r r wX

Shopping habits

- - - - 742 680 718 708 656 628 613 622 662 647 733 346 386 196 206 165 166 248 189 260- - - - 37% 34% 35% 35% 32% 30% 31% 31% 34% 33% 37% 37% 37% 34% 41% 36% 40% 41% 33% 39%

fIJKLmN j iJKL Jkl j fIJKLmN r W w

Social activity

- - - - 684 622 692 617 586 543 526 542 579 583 661 313 348 196 176 158 130 246 165 222- - - - 34% 31% 34% 30% 29% 26% 27% 27% 29% 30% 34% 34% 34% 34% 35% 34% 31% 41% 28% 33%

fHIJKLMN JKL fHIJKLMN Jkl j j hIJKLMN WX

Travel/vacation





Summary Of Somewhat Different






- - - - 717 775 797 863 811 927 786 890 810 839 759 337 423 216 188 173 182 207 242 271- - - - 36% 38% 39% 42% 40% 45% 40% 45% 41% 43% 39% 36% 41% 38% 37% 37% 44% 34% 42% 41%

e Efo E EFGIKmO E EFGIKmO E EFgO p V v

Shopping habits

- - - - 723 817 815 792 827 880 784 835 718 778 733 344 389 207 177 187 161 203 242 243- - - - 36% 41% 40% 39% 41% 43% 40% 42% 37% 40% 37% 37% 38% 36% 35% 41% 38% 34% 42% 36%

EMo Em EMo EHMO em EhMO e V

Social activity

- - - - 680 721 707 751 751 783 674 727 670 717 683 325 358 192 191 153 147 173 211 261- - - - 34% 36% 35% 37% 37% 38% 34% 36% 34% 36% 35% 35% 35% 33% 38% 33% 35% 29% 36% 39%

Ekm V V

Travel/vacation

- - - - 557 548 643 630 688 705 612 624 619 593 624 321 302 224 174 145 81 171 168 249- - - - 28% 27% 32% 31% 34% 34% 31% 31% 31% 30% 32% 34% 29% 39% 34% 31% 19% 29% 29% 37%

EF F EFN EFhN eF eF eF EF q TU U U VW

Work life

- - - - 584 612 641 671 651 688 668 668 618 684 613 291 323 191 166 142 114 195 160 226- - - - 29% 30% 32% 33% 32% 33% 34% 33% 31% 35% 31% 31% 31% 33% 33% 31% 27% 33% 28% 34%

e E Ef E EFgmo w w

Eating habits

- - - - 540 516 557 632 586 606 628 587 584 556 565 280 285 189 150 122 104 166 172 190- - - - 27% 26% 27% 31% 29% 29% 32% 29% 30% 28% 29% 30% 28% 33% 29% 26% 25% 28% 30% 28%

EFg f F EFGiNo F F f tU

Family life

- - - - 584 553 588 536 545 620 570 593 561 539 522 277 245 164 137 116 105 166 140 188- - - - 29% 27% 29% 26% 27% 30% 29% 30% 29% 27% 27% 30% 24% 29% 27% 25% 25% 28% 24% 28%

h Hio Hio Q

Personal hygiene





Summary Of Very Different






- - - - 630 670 631 681 702 741 761 727 716 669 619 294 325 186 140 151 141 182 205 185- - - - 32% 33% 31% 33% 34% 36% 39% 36% 36% 34% 32% 31% 32% 32% 28% 33% 34% 30% 35% 28%

g EGO EFGHINO EfGhO EGhO vX

Travel/vacation

- - - - 528 516 496 549 556 559 564 538 584 544 498 242 255 171 125 110 91 149 150 165- - - - 26% 26% 24% 27% 27% 27% 29% 27% 30% 28% 25% 26% 25% 30% 25% 24% 22% 25% 26% 25%

g fGo eFGO g tU

Social activity

- - - - 453 490 430 446 487 506 537 447 493 473 449 229 221 162 121 101 65 136 122 158- - - - 23% 24% 21% 22% 24% 24% 27% 22% 25% 24% 23% 25% 21% 28% 24% 22% 15% 23% 21% 24%

g Gh EfGHILnO GH g tU U u

Shopping habits

- - - - 474 461 425 414 476 501 507 407 408 483 414 237 178 149 124 78 64 91 136 163- - - - 24% 23% 21% 20% 23% 24% 26% 20% 21% 25% 21% 25% 17% 26% 24% 17% 15% 15% 23% 24%

gHLm h hl GHLMo fGHLMO GHLMO Q TU TU V V

Personal hygiene

- - - - 405 438 441 466 438 479 438 419 456 474 409 193 216 139 128 95 47 127 120 136- - - - 20% 22% 22% 23% 21% 23% 22% 21% 23% 24% 21% 21% 21% 24% 25% 21% 11% 21% 21% 20%

e e Elo U U U

Work life

- - - - 323 348 293 329 336 390 335 311 352 352 337 183 154 142 106 43 47 86 102 125- - - - 16% 17% 14% 16% 16% 19% 17% 16% 18% 18% 17% 20% 15% 25% 21% 9% 11% 14% 18% 19%

G eGhL g G G g Q TU TU

Eating habits

- - - - 306 316 313 272 306 389 317 286 335 331 322 176 146 115 106 55 46 110 78 112- - - - 15% 16% 15% 13% 15% 19% 16% 14% 17% 17% 16% 19% 14% 20% 21% 12% 11% 18% 13% 17%

h EFGHIkL H Hl Hl H Q TU TU W

Family life



19 Jun 2020Table 389LI02_1 Once the pandemic is over and things return to normal, do you think each of the following areas of your life will be


Shopping habits






- - - - 823 748 802 742 742 634 638 659 662 658 754 367 387 197 199 188 171 257 216 240- - - - 41% 37% 40% 36% 36% 31% 33% 33% 34% 33% 38% 39% 38% 34% 39% 41% 41% 43% 37% 36%

FHIJKLMN JKLmN hiJKLMN Jkl JKl JKLMN r r wX

Mostly the same

- - - - 717 775 797 863 811 927 786 890 810 839 759 337 423 216 188 173 182 207 242 271- - - - 36% 38% 39% 42% 40% 45% 40% 45% 41% 43% 39% 36% 41% 38% 37% 37% 44% 34% 42% 41%

e Efo E EFGIKmO E EFGIKmO E EFgO p V v

Somewhat different

- - - - 453 490 430 446 487 506 537 447 493 473 449 229 221 162 121 101 65 136 122 158- - - - 23% 24% 21% 22% 24% 24% 27% 22% 25% 24% 23% 25% 21% 28% 24% 22% 15% 23% 21% 24%

g Gh EfGHILnO GH g tU U u

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Eating habits






- - - - 1086 1053 1095 1051 1052 989 958 1017 995 933 1013 458 554 242 236 278 257 319 318 318- - - - 54% 52% 54% 51% 52% 48% 49% 51% 51% 47% 52% 49% 54% 42% 46% 60% 62% 53% 55% 48%

hJKlmN JkN JKmN jN jN n jN RS RS x

Mostly the same

- - - - 584 612 641 671 651 688 668 668 618 684 613 291 323 191 166 142 114 195 160 226- - - - 29% 30% 32% 33% 32% 33% 34% 33% 31% 35% 31% 31% 31% 33% 33% 31% 27% 33% 28% 34%

e E Ef E EFgmo w w

Somewhat different

- - - - 323 348 293 329 336 390 335 311 352 352 337 183 154 142 106 43 47 86 102 125- - - - 16% 17% 14% 16% 16% 19% 17% 16% 18% 18% 17% 20% 15% 25% 21% 9% 11% 14% 18% 19%

G eGhL g G G g Q TU TU

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Social activity






- - - - 742 680 718 708 656 628 613 622 662 647 733 346 386 196 206 165 166 248 189 260- - - - 37% 34% 35% 35% 32% 30% 31% 31% 34% 33% 37% 37% 37% 34% 41% 36% 40% 41% 33% 39%

fIJKLmN j iJKL Jkl j fIJKLmN r W w

Mostly the same

- - - - 723 817 815 792 827 880 784 835 718 778 733 344 389 207 177 187 161 203 242 243- - - - 36% 41% 40% 39% 41% 43% 40% 42% 37% 40% 37% 37% 38% 36% 35% 41% 38% 34% 42% 36%

EMo Em EMo EHMO em EhMO e V

Somewhat different

- - - - 528 516 496 549 556 559 564 538 584 544 498 242 255 171 125 110 91 149 150 165- - - - 26% 26% 24% 27% 27% 27% 29% 27% 30% 28% 25% 26% 25% 30% 25% 24% 22% 25% 26% 25%

g fGo eFGO g tU

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Travel/vacation






- - - - 684 622 692 617 586 543 526 542 579 583 661 313 348 196 176 158 130 246 165 222- - - - 34% 31% 34% 30% 29% 26% 27% 27% 29% 30% 34% 34% 34% 34% 35% 34% 31% 41% 28% 33%

fHIJKLMN JKL fHIJKLMN Jkl j j hIJKLMN WX

Mostly the same

- - - - 680 721 707 751 751 783 674 727 670 717 683 325 358 192 191 153 147 173 211 261- - - - 34% 36% 35% 37% 37% 38% 34% 36% 34% 36% 35% 35% 35% 33% 38% 33% 35% 29% 36% 39%

Ekm V V

Somewhat different

- - - - 630 670 631 681 702 741 761 727 716 669 619 294 325 186 140 151 141 182 205 185- - - - 32% 33% 31% 33% 34% 36% 39% 36% 36% 34% 32% 31% 32% 32% 28% 33% 34% 30% 35% 28%

g EGO EFGHINO EfGhO EGhO vX

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Work life






- - - - 1031 1027 944 954 913 883 910 954 890 903 931 418 512 212 206 222 290 302 293 284- - - - 52% 51% 47% 47% 45% 43% 46% 48% 45% 46% 47% 45% 50% 37% 41% 48% 69% 50% 51% 42%

GHIJKLMNO GHIJKMNo J j j J J p Rs RST X X

Mostly the same

- - - - 557 548 643 630 688 705 612 624 619 593 624 321 302 224 174 145 81 171 168 249- - - - 28% 27% 32% 31% 34% 34% 31% 31% 31% 30% 32% 34% 29% 39% 34% 31% 19% 29% 29% 37%

EF F EFN EFhN eF eF eF EF q TU U U VW

Somewhat different

- - - - 405 438 441 466 438 479 438 419 456 474 409 193 216 139 128 95 47 127 120 136- - - - 20% 22% 22% 23% 21% 23% 22% 21% 23% 24% 21% 21% 21% 24% 25% 21% 11% 21% 21% 20%

e e Elo U U U

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Family life






- - - - 1147 1182 1159 1146 1146 1072 1015 1123 1046 1081 1077 477 600 271 253 285 268 325 331 366- - - - 58% 59% 57% 56% 56% 52% 52% 56% 53% 55% 55% 51% 58% 47% 50% 62% 64% 54% 57% 55%

JKM JKMno JKm JK JK JK P RS RS

Mostly the same

- - - - 540 516 557 632 586 606 628 587 584 556 565 280 285 189 150 122 104 166 172 190- - - - 27% 26% 27% 31% 29% 29% 32% 29% 30% 28% 29% 30% 28% 33% 29% 26% 25% 28% 30% 28%

EFg f F EFGiNo F F f tU

Somewhat different

- - - - 306 316 313 272 306 389 317 286 335 331 322 176 146 115 106 55 46 110 78 112- - - - 15% 16% 15% 13% 15% 19% 16% 14% 17% 17% 16% 19% 14% 20% 21% 12% 11% 18% 13% 17%

h EFGHIkL H Hl Hl H Q TU TU W

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma





Personal hygiene






- - - - 935 999 1016 1100 1017 946 884 996 996 947 1026 418 608 262 247 268 249 343 305 318- - - - 47% 50% 50% 54% 50% 46% 45% 50% 51% 48% 52% 45% 59% 46% 49% 58% 60% 57% 52% 48%

JK JK EFgiJKlN JK JK eJK EJKN P RS RS X

Mostly the same

- - - - 584 553 588 536 545 620 570 593 561 539 522 277 245 164 137 116 105 166 140 188- - - - 29% 27% 29% 26% 27% 30% 29% 30% 29% 27% 27% 30% 24% 29% 27% 25% 25% 28% 24% 28%

h Hio Hio Q

Somewhat different

- - - - 474 461 425 414 476 501 507 407 408 483 414 237 178 149 124 78 64 91 136 163- - - - 24% 23% 21% 20% 23% 24% 26% 20% 21% 25% 21% 25% 17% 26% 24% 17% 15% 15% 23% 24%

gHLm h hl GHLMo fGHLMO GHLMO Q TU TU V V

Very different

- - - - 1993 2013 2029 2050 2039 2066 1961 1996 1965 1969 1963 932 1031 575 508 462 418 600 581 669- - - - 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%

Sigma


19 June 2020


TitleTablePage

1 1 MON01 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Summary Of Take Down

2 2 MON01 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Summary Of Keep Up

3 3 MON01_1 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Robert E. Lee, Commander of the Confederate States Army

4 4 MON01_2 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Christopher Columbus, explorer and played role in mistreatment and colonization of indigenous people

5 5 MON01_3 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Jefferson Davis, president of the Confederate States of America

6 6 MON01_4 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Memorials commemorating the Confederate States of America during the Civil War

7 7 MON01_5 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Silent Sam, Confederate statue

8 8 MON01_6 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Nathan Bedford Forest, Confederate general and first Grand Wizard of the Ku Klux Klan

9 9 MON01_7 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Stonewall Jackson, Confederate general

10 10 MON01_8 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Thomas Jefferson, third U.S. president and known slave owner

11 11 MON01_9 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?George Washington, first U.S. president and known slave owner

12 12 MON01_10 Do you believe statues and/or monuments to each of the following historical figures should be taken down or kept up?Abraham Lincoln, sixteenth U.S. president and emancipated (e.g., freed) slaves

13 13 MON02 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Summary Of Remove Them

14 14 MON02 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Summary Of Include Disclaimer

15 15 MON02 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Summary Of Keep Them Up

16 16 MON02_1 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Live PD

17 17 MON02_2 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?COPS

18 18 MON02_3 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?911

19 19 MON02_4 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?The Rookie

20 20 MON02_5 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Blue Bloods

21 21 MON02_6 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?S.W.A.T

22 22 MON02_7 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?First 48

23 23 MON02_8 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Den of Thieves

24 24 MON02_9 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Spencer Confidential

25 25 MON02_10 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Sleepless

26 26 MON02_11 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Law and Order

27 27 MON02_12 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Forensic Files

19 June 2020


TitleTablePage

28 28 MON02_13 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Criminal Minds

29 29 MON02_14 What do you believe networks should do for each of the following movies and shows that only portray the perspective ofthe police instead of all perspectives?Paw Patrol

30 30 POL01 Do you have a favorable or unfavorable opinion of your local law enforcement?31 31 POL02 Do you have a favorable or unfavorable opinion of your national law enforcement?32 32 POL03 In your neighborhood would you prefer more or less police presence?33 33 POL04 Do you support or oppose limiting police resources and having less policing in your neighborhood?34 34 POL05 Do you support or oppose cutting back on petty crimes (e.g., marijuana possession, jaywalking, public disturbance)?35 35 POL06 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Summary Of Excellent36 36 POL06 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Summary Of Pretty Good37 37 POL06 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Summary Of Only Fair38 38 POL06 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Summary Of Poor39 39 POL06_1 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Being helpful and friendly40 40 POL06_2 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Responding quickly to calls for help and assistance41 41 POL06_3 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Not using excessive force42 42 POL06_4 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Treating people fairly43 43 POL06_5 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Preventing crime44 44 POL06_6 How would you rate the police in your community on the following -- excellent, pretty good, only fair or poor?

Solving crime45 45 POL07 When police officers are charged with alleged misconduct, what kind of a committee do you think should judge them?46 46 POL08 In terms of judging police officer misconduct, generally do you believe that the following would be too lenient, too

strict or about right in their judgement?Summary Of Too Lenient

47 47 POL08 In terms of judging police officer misconduct, generally do you believe that the following would be too lenient, toostrict or about right in their judgement?Summary Of About Right

48 48 POL08 In terms of judging police officer misconduct, generally do you believe that the following would be too lenient, toostrict or about right in their judgement?Summary Of Too Strict

49 49 POL08_1 In terms of judging police officer misconduct, generally do you believe that the following would be too lenient, toostrict or about right in their judgement?Other police officers would be

50 50 POL08_2 In terms of judging police officer misconduct, generally do you believe that the following would be too lenient, toostrict or about right in their judgement?Civilians would be

51 51 POL09 Which of the following are more important to you?52 52 POL10 Which of the following are more important to you?53 53 POL11 Which of the following are more important to you?54 54 Q3A Which of the following best describes your response to coronavirus?55 55 COV01 Which of the following best describes the situation of your state’s reopening?56 56 COV02 How much do you support or oppose your state’s approach to re-opening?57 57 COV03 How effective do you think the lockdowns (e.g., closing of non-essential business and stay-home orders) were in your area?58 58 COV04 How concerned are you of a new wave of COVID-19 outbreak in your area?59 59 COV05 If there was a surge of cases of COVID-19 in your state, would you support or oppose another lock down/a lock down?60 60 COV06 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan on

continuing to do each of the following in the short term, medium term, long term?Summary Of Short Term

62 61 COV06 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Summary Of Medium Term

19 June 2020


TitleTablePage

64 62 COV06 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Summary Of Long Term

66 63 COV06_1 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Cook the majority of meals at home

67 64 COV06_2 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Order groceries online for home-delivery

68 65 COV06_3 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Order food for delivery

69 66 COV06_4 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Host meetings virtually

70 67 COV06_5 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Cut non-essential leisure travel

71 68 COV06_6 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Cut non-essential business travel

72 69 COV06_7 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Substitute short distance flights with car travel

73 70 COV06_8 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Save more spend less

74 71 COV06_9 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Virtual happy hours

75 72 COV06_10 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Leaving my residence as little as possible

76 73 COV06_11 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Not have people over to my home

77 74 COV06_12 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Wear PPE when I go out in public (e.g., face masks, gloves, etc)

78 75 COV06_13 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Make sure my house is stocked with non-perishable foods and cleaning products

79 76 COV06_14 As we become accustomed to living with COVID-19, in lieu of finding and distributing a vaccine, do you plan oncontinuing to do each of the following in the short term, medium term, long term?Buy products that boost my/my family’s health and immunity (e.g., orange juice, vitamins, etc.)

80 77 NAM01 Which of the following best describes the industry you currently work in/associate with? If you work more than one job,please think of the one you work the most hours at when answering.

82 78 NAM02 Does your job allow you to work remotely?83 79 BHV02 Which of the following actions will make you comfortable to do certain activities (e.g., fly, go to the gym, go to

sporting events, go on a cruise, etc.) again? Please select all that apply.84 80 NAM10 To strengthen manufacturing in America, what actions would you support policymakers taking? Please select all that apply.85 81 NAM06 Do you support or oppose reforms so that companies that have been designated as essential businesses and have made a

good-faith effort to comply with varying state and federal regulations are protected against costly lawsuits associated with their response to COVID-19?86 82 NAM07 Which of the following would make you more likely to support reforms under consideration in Congress to provide legal

protection for essential businesses against unfair litigation related to COVID19 (e.g., employee lawsuits for unsafeworking conditions) as they reopen and bring workers back? Please select all that apply.

87 83 NAM09 How much do you support or oppose mandates requiring manufacturing to return production to the US?88 84 BHV15 Since the coronavirus outbreak are you consuming more or less of the following?

Summary Of More89 85 BHV15 Since the coronavirus outbreak are you consuming more or less of the following?

Summary Of Less90 86 BHV15 Since the coronavirus outbreak are you consuming more or less of the following?

Summary Of No Change91 87 BHV15_1 Since the coronavirus outbreak are you consuming more or less of the following?

Fresh food (vegetables, fruit)92 88 BHV15_2 Since the coronavirus outbreak are you consuming more or less of the following?

Fast food

19 June 2020


TitleTablePage

93 89 BHV15_3 Since the coronavirus outbreak are you consuming more or less of the following?Alcohol (beer, wine, spirits)

94 90 BHV15_4 Since the coronavirus outbreak are you consuming more or less of the following?Snack foods (chips, nuts, granola bars)

95 91 BHV15_5 Since the coronavirus outbreak are you consuming more or less of the following?Ready to eat meals (e.g., frozen pizzas)

96 92 BHV15_6 Since the coronavirus outbreak are you consuming more or less of the following?Home cooked meals

97 93 BHV15_7 Since the coronavirus outbreak are you consuming more or less of the following?Coffee and tea

98 94 BHV15_8 Since the coronavirus outbreak are you consuming more or less of the following?Soft drinks

99 95 BHV15_9 Since the coronavirus outbreak are you consuming more or less of the following?Candy

100 96 BHV15_10 Since the coronavirus outbreak are you consuming more or less of the following?Chocolate

101 97 BHV15_11 Since the coronavirus outbreak are you consuming more or less of the following?Orange juice

102 98 BHV15_12 Since the coronavirus outbreak are you consuming more or less of the following?Meat alternatives (e.g., tofu, seitan, tempeh)

103 99 RC19 How much do you agree or disagree with each of the following statements?Summary Of Strongly/Somewhat Agree

104 100 RC19 How much do you agree or disagree with each of the following statements?Summary Of Strongly/Somewhat Disagree

105 101 RC19_1 How much do you agree or disagree with each of the following statements?Companies/brands should respond publicly to protests and rising racial tensions.

106 102 RC19_2 How much do you agree or disagree with each of the following statements?Companies/brands should incorporate their views into advertising.

107 103 RC19_3 How much do you agree or disagree with each of the following statements?Companies/brands should pause their regular advertising during protests.

108 104 RC19_4 How much do you agree or disagree with each of the following statements?Companies/brands have done enough to increase diversity in their leadership.

109 105 RC19_5 How much do you agree or disagree with each of the following statements?I am more likely to purchase from a company/brand that responds publicly to protests and rising racial tensions.

110 106 RC19_6 How much do you agree or disagree with each of the following statements?I am more likely to buy from companies/brands that contribute to organizations/causes that combat racism.

111 107 RC19_7 How much do you agree or disagree with each of the following statements?Companies/brands should ensure businesses/clients they do business with share similar standards when it comes to combating racial inequality.

112 108 RC21 How aware are you of Juneteenth?113 109 RC22 How much do you support or oppose companies making Juneteenth a work holiday?114 110 RC23 How much do you support or oppose the push to rename each of the following currently named after Confederate leaders?

Summary Of Strongly/Somewhat Support115 111 RC23 How much do you support or oppose the push to rename each of the following currently named after Confederate leaders?

Summary Of Strongly/Somewhat Oppose116 112 RC23_1 How much do you support or oppose the push to rename each of the following currently named after Confederate leaders?

Streets117 113 RC23_2 How much do you support or oppose the push to rename each of the following currently named after Confederate leaders?

Government buildings118 114 RC23_3 How much do you support or oppose the push to rename each of the following currently named after Confederate leaders?

Schools119 115 RC23_4 How much do you support or oppose the push to rename each of the following currently named after Confederate leaders?

Military installations120 116 CDC01 Have you traveled out of your region in the past 2 weeks using any of the following means of transportation?

Summary Of Domestically121 117 CDC01 Have you traveled out of your region in the past 2 weeks using any of the following means of transportation?

Summary Of Internationally122 118 CDC01_1 Have you traveled out of your region in the past 2 weeks using any of the following means of transportation?

Air travel123 119 CDC01_2 Have you traveled out of your region in the past 2 weeks using any of the following means of transportation?

Car travel124 120 CDC01_3 Have you traveled out of your region in the past 2 weeks using any of the following means of transportation?

Bus or train travel125 121 CDC01_4 Have you traveled out of your region in the past 2 weeks using any of the following means of transportation?

RV travel

19 June 2020


TitleTablePage

126 122 CDC01_5 Have you traveled out of your region in the past 2 weeks using any of the following means of transportation?Cruise travel

127 123 CDC02 Which of the following are reason(s) why you traveled? Please select all that apply.128 124 CDC03 Which of the following, if any, precautions did you take before, during or after traveling? Please select all that apply.130 125 CDC04 Which of the following motivate you to follow recommended safety protocols due to COVID-19? Please select all that apply.131 126 CDC05 Which of the following are reasons that have refrained you in the past or are currently refraining you from following

the recommended safety protocols to limit the spread of COVID-19? Please select all that apply.132 127 CDC06 Do you have upcoming plans to travel outside of your region, if so when do you plan on traveling?

Summary Of International133 128 CDC06 Do you have upcoming plans to travel outside of your region, if so when do you plan on traveling?

Summary Of Domestic134 129 CDC06_1 Do you have upcoming plans to travel outside of your region, if so when do you plan on traveling?

This week135 130 CDC06_2 Do you have upcoming plans to travel outside of your region, if so when do you plan on traveling?

Within the next 30 days136 131 CDC06_3 Do you have upcoming plans to travel outside of your region, if so when do you plan on traveling?

2-3 months from now137 132 CDC06_4 Do you have upcoming plans to travel outside of your region, if so when do you plan on traveling?

3-6 months from now138 133 CDC07 Which of the following means of transportation do you plan on taking for your upcoming travel?

Summary Of Domestically139 134 CDC07 Which of the following means of transportation do you plan on taking for your upcoming travel?

Summary Of Internationally140 135 CDC07_1 Which of the following means of transportation do you plan on taking for your upcoming travel?

Air travel141 136 CDC07_2 Which of the following means of transportation do you plan on taking for your upcoming travel?

Car travel142 137 CDC07_3 Which of the following means of transportation do you plan on taking for your upcoming travel?

Bus or train travel143 138 CDC07_4 Which of the following means of transportation do you plan on taking for your upcoming travel?

RV travel144 139 CDC07_5 Which of the following means of transportation do you plan on taking for your upcoming travel?

Cruise travel145 140 CDC08 How willing are you to share your contact information with the United States government to help with potential contact

tracing efforts which would allow public health authorities to notify you of possible COVID-19 exposure, should aperson whom you were in close contact with become infected?

146 141 CDC09 How concerned are you about potentially bringing COVID-19 to other areas when traveling?147 142 CDC10 How concerned are you about potentially bringing COVID-19 back to your area after traveling?148 143 CDC11 How much do you support or oppose The Centers for Disease Control and Prevention’s (CDC) ’’No Sail Order’’ that suspended

all cruise ship operations in waters subject to US jurisdiction and advised US travelers to defer all cruise travel?149 144 RC20 How have the recent events around racial inequality impacted your outlook on your career?150 145 EMP02 How concerned are you that you may lose your job due to the coronavirus outbreak?151 146 Q9 Do you think your income in 2020 will be lower, higher or about the same as it was in 2019?152 147 EMP08 If you’ve been laid off or furloughed, how long do you think it will take for you to find a new job or be rehired?153 148 EMP05 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Summary Of Yes154 149 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 payment155 150 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 payment156 151 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 member157 152 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 friend158 153 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 income159 154 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 partially160 155 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 entirely161 156 EMP05_8 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?

Accumulated more debt than normal

19 June 2020


TitleTablePage

162 157 EMP05_9 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?Stopped or cut back on retirement savings

163 158 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)

164 159 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)

165 160 EMP05_12 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?I have been impacted financially in some other way

166 161 EMP05_13 As a result of the current pandemic, have you or your household been impacted financially in any of the following ways?I have not been impacted financially

167 162 NAM03 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?Summary Of Very/Somewhat Important

168 163 NAM03 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?Summary Of Not At All/Not Very Important

169 164 NAM03_1 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?Significant investment in workforce training programs to aid dislocated workers.

170 165 NAM03_2 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?Congressional actions to help manufacturers to ramp up production and distribution of personal protective equipment

171 166 NAM03_3 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?Significant investment in our nation’s infrastructure to boost the economy.

172 167 NAM03_4 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?Reforms to boost economic and national security by growing manufacturing in the U.S.

173 168 NAM03_5 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?Congressional actions to ensure that employees are able to go into work confident that proper health precautions are being implemented

174 169 NAM03_6 How important would you say each of the following reforms are to the U.S. economy being able to reopen safely?Providing essential businesses who have followed health guidance to protect their employees from the pandemic, safeguards from litigation that may hinder their ability to recover.

175 170 REV01 Are you planning any major purchases once things return to normal and businesses re-open? Please select all that apply.176 171 REV01 Are you planning any major purchases once things return to normal and businesses re-open? Please select all that apply.177 172 Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Concerned178 173 Q15 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Summary Of Not At All/Not Very Concerned179 174 Q15_1 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Your personal health180 175 Q15_2 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The health of your older friends and relatives181 176 Q15_3 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The health of the broader American populace182 177 Q15_4 How concerned are you about the impact coronavirus (COVID-19) has on the following?

The American economy183 178 Q15_5 How concerned are you about the impact coronavirus (COVID-19) has on the following?

Your personal finances184 179 Q18 Which of the following is true for you?185 180 Q21 Which of the following is closest to your view of people’s reaction to the coronavirus (COVID-19) outbreak?186 181 Q12 Do you have a positive or negative view when people use Personal Protective Equipment (gloves, face-masks, goggles, etc.) in public spaces?187 182 Q14 How much do you agree or disagree with each of the following?

Summary Of Strongly/Somewhat Agree188 183 Q14 How much do you agree or disagree with each of the following?

Summary Of Strongly/Somewhat Disagree189 184 Q14_1 How much do you agree or disagree with each of the following?

Americans have a responsibility to each other to perform social distancing to limit the spread of COVID-19.190 185 Q14_2 How much do you agree or disagree with each of the following?

Americans have a responsibility to each other to take preventative measures (e.g., self-quarantining, washing hands frequently) to limit the spread of COVID-19.191 186 Q14_3 How much do you agree or disagree with each of the following?

Americans who do not socially distance themselves from others are putting others at risk.192 187 Q14_4 How much do you agree or disagree with each of the following?

Americans who refuse to follow CDC/Local Public Health guidelines are putting others at risk.193 188 Q14_5 How much do you agree or disagree with each of the following?

The most patriotic thing we as Americans can do for our country right now, is to make a national sacrifice to stay home for the welfare of others.194 189 FR01 Have you felt any of the following since the stay-home orders have gone into effect?

Summary Of Yes195 190 FR01_1 Have you felt any of the following since the stay-home orders have gone into effect?

Cabin fever- bored and sick of being in my home

19 June 2020


TitleTablePage

196 191 FR01_2 Have you felt any of the following since the stay-home orders have gone into effect?Claustrophobic- unable to escape my home

197 192 FR01_3 Have you felt any of the following since the stay-home orders have gone into effect?Grateful- for the break from work to be at home with my family or by myself

198 193 FR01_4 Have you felt any of the following since the stay-home orders have gone into effect?Appreciative-to be around people I truly care about

199 194 FR01_5 Have you felt any of the following since the stay-home orders have gone into effect?Compassionate- taking the time to check in with the people I care about

200 195 FR01_6 Have you felt any of the following since the stay-home orders have gone into effect?Lonely-feeling isolated from my friends/family

201 196 FR01_7 Have you felt any of the following since the stay-home orders have gone into effect?Overwhelmed- trying to balance work at home and other needs of my family

202 197 FR01_8 Have you felt any of the following since the stay-home orders have gone into effect?Angry- upset that I don’t know when this will end

203 198 FR01_9 Have you felt any of the following since the stay-home orders have gone into effect?Annoyed- by lack of personal space and the inability to get away from my family

204 199 FR01_10 Have you felt any of the following since the stay-home orders have gone into effect?Fear- that my kids are missing out on learning

205 200 FR01_11 Have you felt any of the following since the stay-home orders have gone into effect?Thankful - for the sacrifices that the American people have made for coronavirus

206 201 FR05 How much would you say you miss each of the following during this time of virus-related shutdowns?Summary Of A Lot/Somewhat

207 202 FR05 How much would you say you miss each of the following during this time of virus-related shutdowns?Summary Of Not At All/Not Very

208 203 FR05_1 How much would you say you miss each of the following during this time of virus-related shutdowns?Traveling on an airplane

209 204 FR05_2 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to a movie theatre

210 205 FR05_3 How much would you say you miss each of the following during this time of virus-related shutdowns?Shopping in stores

211 206 FR05_4 How much would you say you miss each of the following during this time of virus-related shutdowns?Working from the office

212 207 FR05_5 How much would you say you miss each of the following during this time of virus-related shutdowns?Attending events like concerts, theatre and sporting events

213 208 FR05_6 How much would you say you miss each of the following during this time of virus-related shutdowns?Dining out at a restaurant/bar

214 209 FR05_7 How much would you say you miss each of the following during this time of virus-related shutdowns?Watching sports on TV

215 210 FR05_8 How much would you say you miss each of the following during this time of virus-related shutdowns?Gatherings with friends and family

216 211 FR05_9 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to church

217 212 FR05_10 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to school or university

218 213 FR05_13 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to the gym/work out class

219 214 FR05_14 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to a social gathering,

220 215 FR05_15 How much would you say you miss each of the following during this time of virus-related shutdowns?Going to my local coffee shop

221 216 FR05_16 How much would you say you miss each of the following during this time of virus-related shutdowns?In person celebrations (e.g., Easter, birthdays, graduations)

222 217 Q22 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Summary Of Concerned

223 218 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

224 219 Q22_1 How concerned are you about each of the following potential shortages from coronavirus (COVID-19) in the healthcaresystem?Surgical masks and gloves

225 220 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

19 June 2020


TitleTablePage

226 221 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)

227 222 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)

228 223 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)

229 224 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?

230 225 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?

231 226 FR12 When stay-at-home orders are lifted, how concerned are you about the following situations, as it relates to the risk ofyou/your loved ones being exposed to, or accidentally exposing others to coronavirus?Summary Of Very/Somewhat Concerned

232 227 FR12 When stay-at-home orders are lifted, how concerned are you about the following situations, as it relates to the risk ofyou/your loved ones being exposed to, or accidentally exposing others to coronavirus?Summary Of Not At All/Not Very Concerned

233 228 FR12_1 When stay-at-home orders are lifted, how concerned are you about the following situations, as it relates to the risk ofyou/your loved ones being exposed to, or accidentally exposing others to coronavirus?Leaving my home for the first time to go to non-essential businesses (e.g., bars, hair dressers, etc.)

234 229 FR12_2 When stay-at-home orders are lifted, how concerned are you about the following situations, as it relates to the risk ofyou/your loved ones being exposed to, or accidentally exposing others to coronavirus?Returning to my normal activities in public (e.g., public transit, socializing)

235 230 FR12_3 When stay-at-home orders are lifted, how concerned are you about the following situations, as it relates to the risk ofyou/your loved ones being exposed to, or accidentally exposing others to coronavirus?Taking my first flight

236 231 FR12_4 When stay-at-home orders are lifted, how concerned are you about the following situations, as it relates to the risk ofyou/your loved ones being exposed to, or accidentally exposing others to coronavirus?My kids going back to school for the first time

237 232 FR12_5 When stay-at-home orders are lifted, how concerned are you about the following situations, as it relates to the risk ofyou/your loved ones being exposed to, or accidentally exposing others to coronavirus?Going back to the office

238 233 Q24 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?Summary Of Trustworthy

240 234 Q24_1 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?Social media (e.g., Facebook, Instagram)

241 235 Q24_2 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?National media

242 236 Q24_3 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?Local media

243 237 Q24_4 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?Medical journals

244 238 Q24_5 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?Government PSA’s/website

245 239 Q24_6 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?CDC

246 240 Q24_7 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?Friends and family

247 241 Q24_8 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?Doctors and nurses

248 242 Q24_9 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?The White House/President

249 243 Q24_10 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?My governor

250 244 Q24_11 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?My local government

251 245 Q24_12 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?Chinese President, Xi Jinping

252 246 Q24_13 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?My employer

253 247 Q24_14 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?Local county agencies/health departments

254 248 Q24_15 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?International health organizations (e.g., World Health Organization)

19 June 2020


TitleTablePage

255 249 Q24_16 How trustworthy do you think each of the following sources are to provide accurate information regarding the coronavirus outbreak?Scientists

256 250 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?

257 251 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

258 252 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

259 253 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

260 254 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

261 255 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

262 256 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

263 257 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

264 258 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

265 259 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

266 260 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

267 261 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

268 262 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

269 263 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

270 264 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

271 265 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

272 266 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)

273 267 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

274 268 NAM04 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Summary Of Confident

276 269 NAM04 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Summary Of Not Confident

278 270 NAM04_1 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Financial services

279 271 NAM04_2 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Retail

280 272 NAM04_3 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Technology

281 273 NAM04_4 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Media

19 June 2020


TitleTablePage

282 274 NAM04_5 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Automotive

283 275 NAM04_6 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Healthcare (Doctors/Nurses/Hospital)

284 276 NAM04_7 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Food & Beverage

285 277 NAM04_8 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Entertainment

286 278 NAM04_9 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Travel and hospitality (hotels, cruise lines)

287 279 NAM04_10 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Airlines

288 280 NAM04_11 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Non-profits

289 281 NAM04_12 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Real estate

290 282 NAM04_13 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Retail - grocery

291 283 NAM04_14 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Pharmaceutical/drugs

292 284 NAM04_15 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Oil

293 285 NAM04_16 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Restaurants

294 286 NAM04_17 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Manufacturing

295 287 NAM04_18 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Small Businesses

296 288 NAM04_19 Are you confident or not confident in each of the following industries’ current ability to reopen safely for customers/consumers?Energy and Utilities

297 289 NAM05 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Summary Of Confident

299 290 NAM05 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Summary Of Not Confident

301 291 NAM05_1 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Financial services

302 292 NAM05_2 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Retail

303 293 NAM05_3 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Technology

304 294 NAM05_4 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Media

305 295 NAM05_5 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Automotive

306 296 NAM05_6 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Healthcare (Doctors/Nurses/Hospital)

307 297 NAM05_7 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Food & Beverage

308 298 NAM05_8 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Entertainment

309 299 NAM05_9 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Travel and hospitality (hotels, cruise lines)

310 300 NAM05_10 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Airlines

311 301 NAM05_11 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Non-profits

312 302 NAM05_12 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Real estate

313 303 NAM05_13 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Retail - grocery

314 304 NAM05_14 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Pharmaceutical/drugs

315 305 NAM05_15 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Oil

19 June 2020


TitleTablePage

316 306 NAM05_16 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Restaurants

317 307 NAM05_17 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Manufacturing

318 308 NAM05_18 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Small Businesses

319 309 NAM05_19 Are you confident or not confident in each of the following industries’ current ability to reopen safely for employees?Energy and Utilities

320 310 Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Summary Of More Positive

322 311 Q38 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Summary Of More Negative

324 312 Q38_1 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Financial services

325 313 Q38_2 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Retail

326 314 Q38_3 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Technology

327 315 Q38_4 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Media

328 316 Q38_5 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Automotive

329 317 Q38_6 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Healthcare (Doctors/Nurses/Hospital)

330 318 Q38_7 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Food & Beverage

331 319 Q38_8 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Entertainment

332 320 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)

333 321 Q38_10 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Airlines

334 322 Q38_11 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Non-profits

335 323 Q38_12 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Real estate

336 324 Q38_13 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Retail - grocery

337 325 Q38_14 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Pharmaceutical/drugs

338 326 Q38_15 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Oil

339 327 Q38_16 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Restaurants

340 328 Q38_17 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Manufacturing

341 329 Q38_18 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Small Businesses

342 330 Q38_19 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Telecommunications

343 331 Q38_20 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Retail - apparel

344 332 Q38_21 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Energy and Utilities

345 333 Q38_22 How has your view of each of the following industries changed since the start of the coronavirus pandemic?Insurance

346 334 IND01 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Summary Of Good

348 335 IND01 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Summary Of Poor

350 336 IND01_1 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Financial services

19 June 2020


TitleTablePage

351 337 IND01_2 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Retail

352 338 IND01_3 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Technology

353 339 IND01_4 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Media

354 340 IND01_5 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Automotive

355 341 IND01_6 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Healthcare (Doctors/Nurses/Hospital)

356 342 IND01_7 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Food & Beverage

357 343 IND01_8 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Entertainment

358 344 IND01_9 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Travel and hospitality (hotels, cruise lines)

359 345 IND01_10 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Airlines

360 346 IND01_11 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Non-profits

361 347 IND01_12 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Real estate

362 348 IND01_13 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Retail - grocery

363 349 IND01_14 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Pharmaceutical/drugs

364 350 IND01_15 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Oil

365 351 IND01_16 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Restaurants

366 352 IND01_17 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Manufacturing

367 353 IND01_18 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Small Businesses

368 354 IND01_19 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Telecommunications

369 355 IND01_20 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Retail - apparel

370 356 IND01_21 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Energy and Utilities

371 357 IND01_22 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Insurance

372 358 IND01 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Summary Of Good

374 359 IND01 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Summary Of Poor

19 June 2020


TitleTablePage

376 360 IND01_1 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Financial services

377 361 IND01_2 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Retail

378 362 IND01_3 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Technology

379 363 IND01_4 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Media

380 364 IND01_5 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Automotive

381 365 IND01_6 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Healthcare (Doctors/Nurses/Hospital)

382 366 IND01_7 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Food & Beverage

383 367 IND01_8 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Entertainment

384 368 IND01_9 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Travel and hospitality (hotels, cruise lines)

385 369 IND01_10 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Airlines

386 370 IND01_11 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Non-profits

387 371 IND01_12 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Real estate

388 372 IND01_13 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Retail - grocery

389 373 IND01_14 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Pharmaceutical/drugs

390 374 IND01_15 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Oil

391 375 IND01_16 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Restaurants

392 376 IND01_17 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Manufacturing

393 377 IND01_18 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Small Businesses

394 378 IND01_19 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Telecommunications

395 379 IND01_20 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Retail - apparel

396 380 IND01_21 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Energy and Utilities

397 381 IND01_22 For each of the following industries, do you think that the industry has had a good response or a poor response to thecoronavirus pandemic?Insurance

398 382 Q43 Which of the following industries do you think should provide solutions during the Covid-19 outbreak? Please select all that apply.400 383 Q36 How likely do you think it is that coronavirus (COVID-19) will cause a global recession?

19 June 2020


TitleTablePage

401 384 Q36A Would you say we are in a global recession due to the coronavirus outbreak?402 385 LI01 Which do you think will have a bigger effect on the life of you and your family?403 386 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

404 387 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

405 388 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

406 389 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

407 390 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

408 391 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

409 392 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

410 393 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

411 394 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

412 395 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

theharrispoll.com...MON01_1 Do you believe statues and/or monuments to each of the following...

Documents

Transcript of theharrispoll.com...MON01_1 Do you believe statues and/or monuments to each of the following...