knitr::opts_chunk$set(echo = FALSE)

rm(list=ls())
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ ggplot2   3.5.1     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
## ✔ purrr     1.0.2     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(here)
## here() starts at C:/Users/andre/OneDrive/Documents/cephalopod_survey
library(table1)
## 
## Attaching package: 'table1'
## 
## The following objects are masked from 'package:base':
## 
##     units, units<-
library(DT)
library(flextable)
## 
## Attaching package: 'flextable'
## 
## The following object is masked from 'package:purrr':
## 
##     compose
d <- readRDS(here("data", "cleaned_octopus_farming_data.RDS"))
colnames(d)
##  [1] "RespondentID"               "COUNTRY"                   
##  [3] "URBANRURAL"                 "Gender"                    
##  [5] "Age"                        "dAGE"                      
##  [7] "Q1_awareness"               "Q2_support"                
##  [9] "Q4_welfare_knowledge"       "Q4_environmental_knowledge"
## [11] "Q4_economic_knowledge"      "Q4_sentience_knowledge"    
## [13] "Q4_public_health_knowledge" "Q5_consumption_frequency"  
## [15] "Q6_impact_on_consumption"   "message"                   
## [17] "Q7_ban_farming_support"     "Q7_ban_sale_support"       
## [19] "Q7_ban_subsidies_support"   "Q9_vote_candidate_support" 
## [21] "income_cat"
dput(colnames(d))
## c("RespondentID", "COUNTRY", "URBANRURAL", "Gender", "Age", "dAGE", 
## "Q1_awareness", "Q2_support", "Q4_welfare_knowledge", "Q4_environmental_knowledge", 
## "Q4_economic_knowledge", "Q4_sentience_knowledge", "Q4_public_health_knowledge", 
## "Q5_consumption_frequency", "Q6_impact_on_consumption", "message", 
## "Q7_ban_farming_support", "Q7_ban_sale_support", "Q7_ban_subsidies_support", 
## "Q9_vote_candidate_support", "income_cat")

Explore demographics by country

Gender Age dAGE URBANRURAL income_cat
Slovenia
(N=1026)		 :
Male: 518 (50.5%)
Female: 503 (49.0%)
I identify in another way: 1 (0.1%)
Non Binary: 1 (0.1%)
Prefer not to say: 3 (0.3%)		 :
Mean (SD): 45.7 (16.0)
Median [Min, Max]: 46.0 [18.0, 99.0]		 :
18-24: 108 (10.5%)
25-34: 172 (16.8%)
35-44: 208 (20.3%)
45-54: 221 (21.5%)
55-64: 190 (18.5%)
65+: 127 (12.4%)		 :
City: 313 (30.5%)
Town: 437 (42.6%)
Village: 226 (22.0%)
Hamlet or Isolated Dwelling: 43 (4.2%)
Prefer not to say: 7 (0.7%)		 :
Low: 727 (70.9%)
Medium: 199 (19.4%)
High: 41 (4.0%)
No response: 59 (5.8%)
France
(N=1011)		 :
Male: 481 (47.6%)
Female: 526 (52.0%)
I identify in another way: 2 (0.2%)
Non Binary: 1 (0.1%)
Prefer not to say: 1 (0.1%)		 :
Mean (SD): 49.3 (17.5)
Median [Min, Max]: 50.0 [18.0, 99.0]		 :
18-24: 107 (10.6%)
25-34: 147 (14.5%)
35-44: 158 (15.6%)
45-54: 168 (16.6%)
55-64: 163 (16.1%)
65+: 268 (26.5%)		 :
City: 307 (30.4%)
Town: 494 (48.9%)
Village: 157 (15.5%)
Hamlet or Isolated Dwelling: 51 (5.0%)
Prefer not to say: 2 (0.2%)		 :
Low: 494 (48.9%)
Medium: 383 (37.9%)
High: 107 (10.6%)
No response: 27 (2.7%)
Germany
(N=1008)		 :
Male: 490 (48.6%)
Female: 513 (50.9%)
I identify in another way: 0 (0%)
Non Binary: 4 (0.4%)
Prefer not to say: 1 (0.1%)		 :
Mean (SD): 49.7 (17.2)
Median [Min, Max]: 51.0 [18.0, 99.0]		 :
18-24: 87 (8.6%)
25-34: 156 (15.5%)
35-44: 151 (15.0%)
45-54: 168 (16.7%)
55-64: 183 (18.2%)
65+: 263 (26.1%)		 :
City: 421 (41.8%)
Town: 398 (39.5%)
Village: 72 (7.1%)
Hamlet or Isolated Dwelling: 107 (10.6%)
Prefer not to say: 10 (1.0%)		 :
Low: 417 (41.4%)
Medium: 393 (39.0%)
High: 159 (15.8%)
No response: 39 (3.9%)
Portugal
(N=1016)		 :
Male: 467 (46.0%)
Female: 545 (53.6%)
I identify in another way: 2 (0.2%)
Non Binary: 2 (0.2%)
Prefer not to say: 0 (0%)		 :
Mean (SD): 49.3 (16.7)
Median [Min, Max]: 50.0 [18.0, 99.0]		 :
18-24: 93 (9.2%)
25-34: 134 (13.2%)
35-44: 164 (16.1%)
45-54: 182 (17.9%)
55-64: 192 (18.9%)
65+: 251 (24.7%)		 :
City: 593 (58.4%)
Town: 279 (27.5%)
Village: 111 (10.9%)
Hamlet or Isolated Dwelling: 29 (2.9%)
Prefer not to say: 4 (0.4%)		 :
Low: 687 (67.6%)
Medium: 237 (23.3%)
High: 46 (4.5%)
No response: 46 (4.5%)
Italy
(N=1009)		 :
Male: 483 (47.9%)
Female: 522 (51.7%)
I identify in another way: 0 (0%)
Non Binary: 0 (0%)
Prefer not to say: 4 (0.4%)		 :
Mean (SD): 50.9 (16.8)
Median [Min, Max]: 52.0 [18.0, 99.0]		 :
18-24: 79 (7.8%)
25-34: 128 (12.7%)
35-44: 153 (15.2%)
45-54: 193 (19.1%)
55-64: 174 (17.2%)
65+: 282 (27.9%)		 :
City: 453 (44.9%)
Town: 450 (44.6%)
Village: 77 (7.6%)
Hamlet or Isolated Dwelling: 22 (2.2%)
Prefer not to say: 7 (0.7%)		 :
Low: 552 (54.7%)
Medium: 298 (29.5%)
High: 87 (8.6%)
No response: 72 (7.1%)
Poland
(N=1003)		 :
Male: 480 (47.9%)
Female: 519 (51.7%)
I identify in another way: 2 (0.2%)
Non Binary: 0 (0%)
Prefer not to say: 2 (0.2%)		 :
Mean (SD): 47.8 (17.0)
Median [Min, Max]: 47.0 [18.0, 99.0]		 :
18-24: 88 (8.8%)
25-34: 166 (16.6%)
35-44: 201 (20.0%)
45-54: 159 (15.9%)
55-64: 161 (16.1%)
65+: 228 (22.7%)		 :
City: 532 (53.0%)
Town: 312 (31.1%)
Village: 150 (15.0%)
Hamlet or Isolated Dwelling: 7 (0.7%)
Prefer not to say: 2 (0.2%)		 :
Low: 526 (52.4%)
Medium: 338 (33.7%)
High: 99 (9.9%)
No response: 40 (4.0%)
Spain
(N=1009)		 :
Male: 488 (48.4%)
Female: 517 (51.2%)
I identify in another way: 2 (0.2%)
Non Binary: 0 (0%)
Prefer not to say: 2 (0.2%)		 :
Mean (SD): 49.0 (16.6)
Median [Min, Max]: 49.0 [18.0, 99.0]		 :
18-24: 86 (8.5%)
25-34: 135 (13.4%)
35-44: 182 (18.0%)
45-54: 198 (19.6%)
55-64: 168 (16.7%)
65+: 240 (23.8%)		 :
City: 611 (60.6%)
Town: 318 (31.5%)
Village: 62 (6.1%)
Hamlet or Isolated Dwelling: 15 (1.5%)
Prefer not to say: 3 (0.3%)		 :
Low: 590 (58.5%)
Medium: 311 (30.8%)
High: 66 (6.5%)
No response: 42 (4.2%)
Sweden
(N=1003)		 :
Male: 500 (49.9%)
Female: 503 (50.1%)
I identify in another way: 0 (0%)
Non Binary: 0 (0%)
Prefer not to say: 0 (0%)		 :
Mean (SD): 48.3 (17.6)
Median [Min, Max]: 48.0 [18.0, 99.0]		 :
18-24: 98 (9.8%)
25-34: 179 (17.8%)
35-44: 159 (15.9%)
45-54: 165 (16.5%)
55-64: 150 (15.0%)
65+: 252 (25.1%)		 :
City: 545 (54.3%)
Town: 325 (32.4%)
Village: 82 (8.2%)
Hamlet or Isolated Dwelling: 49 (4.9%)
Prefer not to say: 2 (0.2%)		 :
Low: 316 (31.5%)
Medium: 620 (61.8%)
High: 14 (1.4%)
No response: 53 (5.3%)
Netherlands
(N=1005)		 :
Male: 495 (49.3%)
Female: 507 (50.4%)
I identify in another way: 1 (0.1%)
Non Binary: 1 (0.1%)
Prefer not to say: 1 (0.1%)		 :
Mean (SD): 48.5 (17.9)
Median [Min, Max]: 49.0 [18.0, 99.0]		 :
18-24: 111 (11.0%)
25-34: 163 (16.2%)
35-44: 147 (14.6%)
45-54: 173 (17.2%)
55-64: 169 (16.8%)
65+: 242 (24.1%)		 :
City: 439 (43.7%)
Town: 425 (42.3%)
Village: 135 (13.4%)
Hamlet or Isolated Dwelling: 2 (0.2%)
Prefer not to say: 4 (0.4%)		 :
Low: 308 (30.6%)
Medium: 416 (41.4%)
High: 194 (19.3%)
No response: 87 (8.7%)
Denmark
(N=1003)		 :
Male: 507 (50.5%)
Female: 489 (48.8%)
I identify in another way: 0 (0%)
Non Binary: 5 (0.5%)
Prefer not to say: 2 (0.2%)		 :
Mean (SD): 47.4 (16.9)
Median [Min, Max]: 47.0 [18.0, 99.0]		 :
18-24: 103 (10.3%)
25-34: 177 (17.6%)
35-44: 162 (16.2%)
45-54: 191 (19.0%)
55-64: 181 (18.0%)
65+: 189 (18.8%)		 :
City: 360 (35.9%)
Town: 458 (45.7%)
Village: 117 (11.7%)
Hamlet or Isolated Dwelling: 66 (6.6%)
Prefer not to say: 2 (0.2%)		 :
Low: 330 (32.9%)
Medium: 393 (39.2%)
High: 185 (18.4%)
No response: 95 (9.5%)
UK
(N=1008)		 :
Male: 487 (48.3%)
Female: 516 (51.2%)
I identify in another way: 2 (0.2%)
Non Binary: 3 (0.3%)
Prefer not to say: 0 (0%)		 :
Mean (SD): 48.2 (17.6)
Median [Min, Max]: 49.0 [18.0, 99.0]		 :
18-24: 105 (10.4%)
25-34: 171 (17.0%)
35-44: 164 (16.3%)
45-54: 165 (16.4%)
55-64: 167 (16.6%)
65+: 236 (23.4%)		 :
City: 379 (37.6%)
Town: 475 (47.1%)
Village: 134 (13.3%)
Hamlet or Isolated Dwelling: 18 (1.8%)
Prefer not to say: 2 (0.2%)		 :
Low: 500 (49.6%)
Medium: 302 (30.0%)
High: 161 (16.0%)
No response: 45 (4.5%)
Greece
(N=1011)		 :
Male: 483 (47.8%)
Female: 525 (51.9%)
I identify in another way: 1 (0.1%)
Non Binary: 0 (0%)
Prefer not to say: 2 (0.2%)		 :
Mean (SD): 48.3 (15.4)
Median [Min, Max]: 50.0 [18.0, 99.0]		 :
18-24: 88 (8.7%)
25-34: 132 (13.1%)
35-44: 171 (16.9%)
45-54: 182 (18.0%)
55-64: 287 (28.4%)
65+: 151 (14.9%)		 :
City: 768 (76.0%)
Town: 193 (19.1%)
Village: 42 (4.2%)
Hamlet or Isolated Dwelling: 5 (0.5%)
Prefer not to say: 3 (0.3%)		 :
Low: 830 (82.1%)
Medium: 105 (10.4%)
High: 16 (1.6%)
No response: 60 (5.9%)
Czechia
(N=1013)		 :
Male: 492 (48.6%)
Female: 517 (51.0%)
I identify in another way: 1 (0.1%)
Non Binary: 1 (0.1%)
Prefer not to say: 2 (0.2%)		 :
Mean (SD): 48.6 (17.2)
Median [Min, Max]: 48.0 [18.0, 99.0]		 :
18-24: 82 (8.1%)
25-34: 159 (15.7%)
35-44: 194 (19.2%)
45-54: 181 (17.9%)
55-64: 153 (15.1%)
65+: 244 (24.1%)		 :
City: 370 (36.5%)
Town: 460 (45.4%)
Village: 157 (15.5%)
Hamlet or Isolated Dwelling: 20 (2.0%)
Prefer not to say: 6 (0.6%)		 :
Low: 414 (40.9%)
Medium: 31 (3.1%)
High: 487 (48.1%)
No response: 81 (8.0%)
Belgium
(N=1006)		 :
Male: 490 (48.7%)
Female: 513 (51.0%)
I identify in another way: 2 (0.2%)
Non Binary: 1 (0.1%)
Prefer not to say: 0 (0%)		 :
Mean (SD): 48.5 (17.9)
Median [Min, Max]: 48.0 [18.0, 99.0]		 :
18-24: 105 (10.4%)
25-34: 162 (16.1%)
35-44: 162 (16.1%)
45-54: 170 (16.9%)
55-64: 166 (16.5%)
65+: 241 (24.0%)		 :
City: 303 (30.1%)
Town: 456 (45.3%)
Village: 213 (21.2%)
Hamlet or Isolated Dwelling: 20 (2.0%)
Prefer not to say: 14 (1.4%)		 :
Low: 373 (37.1%)
Medium: 351 (34.9%)
High: 170 (16.9%)
No response: 112 (11.1%)
Overall
(N=14131)		 :
Male: 6861 (48.6%)
Female: 7215 (51.1%)
I identify in another way: 16 (0.1%)
Non Binary: 19 (0.1%)
Prefer not to say: 20 (0.1%)		 :
Mean (SD): 48.5 (17.1)
Median [Min, Max]: 49.0 [18.0, 99.0]		 :
18-24: 1340 (9.5%)
25-34: 2181 (15.4%)
35-44: 2376 (16.8%)
45-54: 2516 (17.8%)
55-64: 2504 (17.7%)
65+: 3214 (22.7%)		 :
City: 6394 (45.2%)
Town: 5480 (38.8%)
Village: 1735 (12.3%)
Hamlet or Isolated Dwelling: 454 (3.2%)
Prefer not to say: 68 (0.5%)		 :
Low: 7064 (50.0%)
Medium: 4377 (31.0%)
High: 1832 (13.0%)
No response: 858 (6.1%)

Explore opinions by country

## Warning in .table1.internal(x = x, labels = labels, groupspan = groupspan, :
## Table has 15 columns. Are you sure this is what you want?
Slovenia
(N=1026)		 France
(N=1011)		 Germany
(N=1008)		 Portugal
(N=1016)		 Italy
(N=1009)		 Poland
(N=1003)		 Spain
(N=1009)		 Sweden
(N=1003)		 Netherlands
(N=1005)		 Denmark
(N=1003)		 UK
(N=1008)		 Greece
(N=1011)		 Czechia
(N=1013)		 Belgium
(N=1006)		 Overall
(N=14131)
Q1_awareness
Yes, I know a lot about this 25 (2.4%) 49 (4.8%) 41 (4.1%) 26 (2.6%) 46 (4.6%) 32 (3.2%) 67 (6.6%) 20 (2.0%) 13 (1.3%) 25 (2.5%) 34 (3.4%) 21 (2.1%) 19 (1.9%) 33 (3.3%) 451 (3.2%)
Yes, I know a little about this 82 (8.0%) 50 (4.9%) 70 (6.9%) 64 (6.3%) 65 (6.4%) 51 (5.1%) 70 (6.9%) 32 (3.2%) 39 (3.9%) 34 (3.4%) 74 (7.3%) 56 (5.5%) 53 (5.2%) 54 (5.4%) 794 (5.6%)
Yes, I heard about this 129 (12.6%) 90 (8.9%) 95 (9.4%) 123 (12.1%) 115 (11.4%) 123 (12.3%) 117 (11.6%) 106 (10.6%) 79 (7.9%) 83 (8.3%) 83 (8.2%) 111 (11.0%) 92 (9.1%) 85 (8.4%) 1431 (10.1%)
No, I haven't heard about this before 765 (74.6%) 810 (80.1%) 769 (76.3%) 791 (77.9%) 774 (76.7%) 769 (76.7%) 744 (73.7%) 825 (82.3%) 861 (85.7%) 854 (85.1%) 806 (80.0%) 800 (79.1%) 809 (79.9%) 800 (79.5%) 11177 (79.1%)
Don't know 25 (2.4%) 12 (1.2%) 33 (3.3%) 12 (1.2%) 9 (0.9%) 28 (2.8%) 11 (1.1%) 20 (2.0%) 13 (1.3%) 7 (0.7%) 11 (1.1%) 23 (2.3%) 40 (3.9%) 34 (3.4%) 278 (2.0%)
Q2_support
Strongly support 39 (3.8%) 68 (6.7%) 52 (5.2%) 49 (4.8%) 74 (7.3%) 36 (3.6%) 101 (10.0%) 58 (5.8%) 21 (2.1%) 37 (3.7%) 63 (6.3%) 77 (7.6%) 71 (7.0%) 28 (2.8%) 774 (5.5%)
Moderately support 98 (9.6%) 68 (6.7%) 96 (9.5%) 147 (14.5%) 118 (11.7%) 63 (6.3%) 155 (15.4%) 83 (8.3%) 61 (6.1%) 71 (7.1%) 89 (8.8%) 87 (8.6%) 84 (8.3%) 53 (5.3%) 1273 (9.0%)
Slightly support 174 (17.0%) 87 (8.6%) 110 (10.9%) 151 (14.9%) 110 (10.9%) 123 (12.3%) 175 (17.3%) 106 (10.6%) 86 (8.6%) 84 (8.4%) 88 (8.7%) 173 (17.1%) 124 (12.2%) 94 (9.3%) 1685 (11.9%)
Neutral / No opinion 321 (31.3%) 353 (34.9%) 333 (33.0%) 342 (33.7%) 258 (25.6%) 423 (42.2%) 286 (28.3%) 343 (34.2%) 335 (33.3%) 402 (40.1%) 342 (33.9%) 330 (32.6%) 349 (34.5%) 390 (38.8%) 4807 (34.0%)
Slightly oppose 125 (12.2%) 94 (9.3%) 145 (14.4%) 94 (9.3%) 121 (12.0%) 114 (11.4%) 82 (8.1%) 106 (10.6%) 120 (11.9%) 100 (10.0%) 89 (8.8%) 101 (10.0%) 85 (8.4%) 134 (13.3%) 1510 (10.7%)
Moderately oppose 71 (6.9%) 66 (6.5%) 57 (5.7%) 82 (8.1%) 90 (8.9%) 37 (3.7%) 60 (5.9%) 67 (6.7%) 112 (11.1%) 94 (9.4%) 91 (9.0%) 83 (8.2%) 51 (5.0%) 73 (7.3%) 1034 (7.3%)
Strongly oppose 144 (14.0%) 178 (17.6%) 133 (13.2%) 92 (9.1%) 161 (16.0%) 123 (12.3%) 79 (7.8%) 113 (11.3%) 182 (18.1%) 130 (13.0%) 164 (16.3%) 120 (11.9%) 152 (15.0%) 136 (13.5%) 1907 (13.5%)
Don't know 54 (5.3%) 97 (9.6%) 82 (8.1%) 59 (5.8%) 77 (7.6%) 84 (8.4%) 71 (7.0%) 127 (12.7%) 88 (8.8%) 85 (8.5%) 82 (8.1%) 40 (4.0%) 97 (9.6%) 98 (9.7%) 1141 (8.1%)
Q4_welfare_knowledge
Not at all 563 (54.9%) 502 (49.7%) 487 (48.3%) 447 (44.0%) 486 (48.2%) 391 (39.0%) 534 (52.9%) 635 (63.3%) 623 (62.0%) 586 (58.4%) 595 (59.0%) 498 (49.3%) 611 (60.3%) 598 (59.4%) 7556 (53.5%)
Slightly knowledgeable 206 (20.1%) 307 (30.4%) 270 (26.8%) 273 (26.9%) 194 (19.2%) 271 (27.0%) 197 (19.5%) 180 (17.9%) 173 (17.2%) 166 (16.6%) 170 (16.9%) 266 (26.3%) 167 (16.5%) 155 (15.4%) 2995 (21.2%)
Moderately knowledgeable 170 (16.6%) 129 (12.8%) 154 (15.3%) 213 (21.0%) 198 (19.6%) 262 (26.1%) 161 (16.0%) 130 (13.0%) 131 (13.0%) 165 (16.5%) 146 (14.5%) 172 (17.0%) 145 (14.3%) 154 (15.3%) 2330 (16.5%)
Very knowledgeable 63 (6.1%) 45 (4.5%) 68 (6.7%) 62 (6.1%) 82 (8.1%) 57 (5.7%) 89 (8.8%) 42 (4.2%) 53 (5.3%) 67 (6.7%) 62 (6.2%) 60 (5.9%) 66 (6.5%) 72 (7.2%) 888 (6.3%)
Extremely knowledgeable 24 (2.3%) 28 (2.8%) 29 (2.9%) 21 (2.1%) 49 (4.9%) 22 (2.2%) 28 (2.8%) 16 (1.6%) 25 (2.5%) 19 (1.9%) 35 (3.5%) 15 (1.5%) 24 (2.4%) 27 (2.7%) 362 (2.6%)
Q4_environmental_knowledge
Not at all 524 (51.1%) 425 (42.0%) 457 (45.3%) 382 (37.6%) 422 (41.8%) 365 (36.4%) 522 (51.7%) 614 (61.2%) 649 (64.6%) 575 (57.3%) 564 (56.0%) 439 (43.4%) 591 (58.3%) 583 (58.0%) 7112 (50.3%)
Slightly knowledgeable 227 (22.1%) 302 (29.9%) 291 (28.9%) 330 (32.5%) 207 (20.5%) 283 (28.2%) 197 (19.5%) 200 (19.9%) 183 (18.2%) 184 (18.3%) 197 (19.5%) 285 (28.2%) 173 (17.1%) 156 (15.5%) 3215 (22.8%)
Moderately knowledgeable 192 (18.7%) 193 (19.1%) 162 (16.1%) 214 (21.1%) 224 (22.2%) 266 (26.5%) 169 (16.7%) 117 (11.7%) 109 (10.8%) 171 (17.0%) 153 (15.2%) 196 (19.4%) 162 (16.0%) 177 (17.6%) 2505 (17.7%)
Very knowledgeable 63 (6.1%) 52 (5.1%) 74 (7.3%) 61 (6.0%) 112 (11.1%) 69 (6.9%) 79 (7.8%) 55 (5.5%) 48 (4.8%) 53 (5.3%) 58 (5.8%) 73 (7.2%) 65 (6.4%) 69 (6.9%) 931 (6.6%)
Extremely knowledgeable 20 (1.9%) 39 (3.9%) 24 (2.4%) 29 (2.9%) 44 (4.4%) 20 (2.0%) 42 (4.2%) 17 (1.7%) 16 (1.6%) 20 (2.0%) 36 (3.6%) 18 (1.8%) 22 (2.2%) 21 (2.1%) 368 (2.6%)
Q4_economic_knowledge
Not at all 555 (54.1%) 504 (49.9%) 493 (48.9%) 427 (42.0%) 504 (50.0%) 386 (38.5%) 527 (52.2%) 663 (66.1%) 668 (66.5%) 621 (61.9%) 619 (61.4%) 496 (49.1%) 593 (58.5%) 623 (61.9%) 7679 (54.3%)
Slightly knowledgeable 206 (20.1%) 305 (30.2%) 275 (27.3%) 307 (30.2%) 183 (18.1%) 294 (29.3%) 193 (19.1%) 180 (17.9%) 146 (14.5%) 167 (16.7%) 152 (15.1%) 256 (25.3%) 184 (18.2%) 137 (13.6%) 2985 (21.1%)
Moderately knowledgeable 186 (18.1%) 118 (11.7%) 167 (16.6%) 206 (20.3%) 211 (20.9%) 245 (24.4%) 188 (18.6%) 105 (10.5%) 140 (13.9%) 149 (14.9%) 135 (13.4%) 192 (19.0%) 137 (13.5%) 165 (16.4%) 2344 (16.6%)
Very knowledgeable 52 (5.1%) 56 (5.5%) 54 (5.4%) 58 (5.7%) 77 (7.6%) 65 (6.5%) 62 (6.1%) 42 (4.2%) 43 (4.3%) 51 (5.1%) 63 (6.3%) 52 (5.1%) 73 (7.2%) 61 (6.1%) 809 (5.7%)
Extremely knowledgeable 27 (2.6%) 28 (2.8%) 19 (1.9%) 18 (1.8%) 34 (3.4%) 13 (1.3%) 39 (3.9%) 13 (1.3%) 8 (0.8%) 15 (1.5%) 39 (3.9%) 15 (1.5%) 26 (2.6%) 20 (2.0%) 314 (2.2%)
Q4_sentience_knowledge
Not at all 425 (41.4%) 500 (49.5%) 416 (41.3%) 390 (38.4%) 419 (41.5%) 298 (29.7%) 483 (47.9%) 535 (53.3%) 525 (52.2%) 479 (47.8%) 470 (46.6%) 352 (34.8%) 471 (46.5%) 531 (52.8%) 6294 (44.5%)
Slightly knowledgeable 200 (19.5%) 277 (27.4%) 267 (26.5%) 272 (26.8%) 158 (15.7%) 266 (26.5%) 167 (16.6%) 216 (21.5%) 169 (16.8%) 192 (19.1%) 208 (20.6%) 234 (23.1%) 185 (18.3%) 165 (16.4%) 2976 (21.1%)
Moderately knowledgeable 236 (23.0%) 157 (15.5%) 198 (19.6%) 211 (20.8%) 224 (22.2%) 307 (30.6%) 193 (19.1%) 154 (15.4%) 176 (17.5%) 200 (19.9%) 180 (17.9%) 228 (22.6%) 187 (18.5%) 187 (18.6%) 2838 (20.1%)
Very knowledgeable 111 (10.8%) 46 (4.6%) 102 (10.1%) 96 (9.4%) 128 (12.7%) 99 (9.9%) 118 (11.7%) 60 (6.0%) 81 (8.1%) 86 (8.6%) 106 (10.5%) 140 (13.8%) 109 (10.8%) 76 (7.6%) 1358 (9.6%)
Extremely knowledgeable 54 (5.3%) 31 (3.1%) 25 (2.5%) 47 (4.6%) 80 (7.9%) 33 (3.3%) 48 (4.8%) 38 (3.8%) 54 (5.4%) 46 (4.6%) 44 (4.4%) 57 (5.6%) 61 (6.0%) 47 (4.7%) 665 (4.7%)
Q4_public_health_knowledge
Not at all 578 (56.3%) 435 (43.0%) 499 (49.5%) 428 (42.1%) 467 (46.3%) 385 (38.4%) 550 (54.5%) 659 (65.7%) 700 (69.7%) 576 (57.4%) 600 (59.5%) 449 (44.4%) 582 (57.5%) 567 (56.4%) 7475 (52.9%)
Slightly knowledgeable 202 (19.7%) 332 (32.8%) 276 (27.4%) 283 (27.9%) 175 (17.3%) 309 (30.8%) 171 (16.9%) 172 (17.1%) 134 (13.3%) 172 (17.1%) 158 (15.7%) 285 (28.2%) 179 (17.7%) 164 (16.3%) 3012 (21.3%)
Moderately knowledgeable 159 (15.5%) 166 (16.4%) 154 (15.3%) 230 (22.6%) 235 (23.3%) 237 (23.6%) 181 (17.9%) 124 (12.4%) 115 (11.4%) 169 (16.8%) 146 (14.5%) 184 (18.2%) 178 (17.6%) 181 (18.0%) 2459 (17.4%)
Very knowledgeable 63 (6.1%) 45 (4.5%) 61 (6.1%) 58 (5.7%) 99 (9.8%) 48 (4.8%) 71 (7.0%) 39 (3.9%) 41 (4.1%) 64 (6.4%) 68 (6.7%) 67 (6.6%) 51 (5.0%) 69 (6.9%) 844 (6.0%)
Extremely knowledgeable 24 (2.3%) 33 (3.3%) 18 (1.8%) 17 (1.7%) 33 (3.3%) 24 (2.4%) 36 (3.6%) 9 (0.9%) 15 (1.5%) 22 (2.2%) 36 (3.6%) 26 (2.6%) 23 (2.3%) 25 (2.5%) 341 (2.4%)
Q5_consumption_frequency
Never 416 (40.5%) 563 (55.7%) 629 (62.4%) 115 (11.3%) 183 (18.1%) 691 (68.9%) 170 (16.8%) 599 (59.7%) 692 (68.9%) 558 (55.6%) 708 (70.2%) 112 (11.1%) 729 (72.0%) 609 (60.5%) 6774 (47.9%)
A few times a year 510 (49.7%) 322 (31.8%) 299 (29.7%) 598 (58.9%) 534 (52.9%) 258 (25.7%) 505 (50.0%) 332 (33.1%) 261 (26.0%) 367 (36.6%) 207 (20.5%) 702 (69.4%) 231 (22.8%) 302 (30.0%) 5428 (38.4%)
At least once a month 84 (8.2%) 78 (7.7%) 59 (5.9%) 261 (25.7%) 246 (24.4%) 29 (2.9%) 274 (27.2%) 58 (5.8%) 39 (3.9%) 52 (5.2%) 57 (5.7%) 162 (16.0%) 41 (4.0%) 66 (6.6%) 1506 (10.7%)
Every week 12 (1.2%) 39 (3.9%) 15 (1.5%) 37 (3.6%) 37 (3.7%) 19 (1.9%) 44 (4.4%) 12 (1.2%) 11 (1.1%) 18 (1.8%) 27 (2.7%) 32 (3.2%) 8 (0.8%) 23 (2.3%) 334 (2.4%)
Multiple times a week 4 (0.4%) 9 (0.9%) 6 (0.6%) 5 (0.5%) 9 (0.9%) 6 (0.6%) 16 (1.6%) 2 (0.2%) 2 (0.2%) 8 (0.8%) 9 (0.9%) 3 (0.3%) 4 (0.4%) 6 (0.6%) 89 (0.6%)
Q6_impact_on_consumption
Significantly decrease 22 (2.1%) 32 (3.2%) 20 (2.0%) 65 (6.4%) 52 (5.2%) 12 (1.2%) 46 (4.6%) 12 (1.2%) 21 (2.1%) 18 (1.8%) 11 (1.1%) 48 (4.7%) 4 (0.4%) 24 (2.4%) 387 (2.7%)
Decrease 37 (3.6%) 48 (4.7%) 17 (1.7%) 62 (6.1%) 67 (6.6%) 22 (2.2%) 41 (4.1%) 20 (2.0%) 31 (3.1%) 15 (1.5%) 20 (2.0%) 70 (6.9%) 13 (1.3%) 39 (3.9%) 502 (3.6%)
Slightly decrease 29 (2.8%) 50 (4.9%) 27 (2.7%) 74 (7.3%) 74 (7.3%) 26 (2.6%) 65 (6.4%) 48 (4.8%) 28 (2.8%) 29 (2.9%) 12 (1.2%) 92 (9.1%) 26 (2.6%) 39 (3.9%) 619 (4.4%)
No impact 345 (33.6%) 204 (20.2%) 195 (19.3%) 413 (40.6%) 392 (38.9%) 125 (12.5%) 353 (35.0%) 205 (20.4%) 171 (17.0%) 262 (26.1%) 126 (12.5%) 405 (40.1%) 136 (13.4%) 206 (20.5%) 3538 (25.0%)
Slightly increase 128 (12.5%) 82 (8.1%) 83 (8.2%) 196 (19.3%) 159 (15.8%) 72 (7.2%) 187 (18.5%) 94 (9.4%) 45 (4.5%) 80 (8.0%) 64 (6.3%) 175 (17.3%) 67 (6.6%) 56 (5.6%) 1488 (10.5%)
Increase 40 (3.9%) 22 (2.2%) 27 (2.7%) 69 (6.8%) 64 (6.3%) 46 (4.6%) 114 (11.3%) 15 (1.5%) 12 (1.2%) 33 (3.3%) 42 (4.2%) 79 (7.8%) 27 (2.7%) 25 (2.5%) 615 (4.4%)
Significantly increase 9 (0.9%) 10 (1.0%) 10 (1.0%) 22 (2.2%) 18 (1.8%) 9 (0.9%) 33 (3.3%) 10 (1.0%) 5 (0.5%) 8 (0.8%) 25 (2.5%) 30 (3.0%) 11 (1.1%) 8 (0.8%) 208 (1.5%)
Missing 416 (40.5%) 563 (55.7%) 629 (62.4%) 115 (11.3%) 183 (18.1%) 691 (68.9%) 170 (16.8%) 599 (59.7%) 692 (68.9%) 558 (55.6%) 708 (70.2%) 112 (11.1%) 729 (72.0%) 609 (60.5%) 6774 (47.9%)
Q7_ban_farming_support
Strongly oppose 52 (5.1%) 42 (4.2%) 42 (4.2%) 51 (5.0%) 33 (3.3%) 68 (6.8%) 81 (8.0%) 47 (4.7%) 32 (3.2%) 54 (5.4%) 41 (4.1%) 65 (6.4%) 113 (11.2%) 33 (3.3%) 754 (5.3%)
Moderately oppose 51 (5.0%) 30 (3.0%) 23 (2.3%) 60 (5.9%) 44 (4.4%) 46 (4.6%) 77 (7.6%) 48 (4.8%) 24 (2.4%) 50 (5.0%) 40 (4.0%) 57 (5.6%) 47 (4.6%) 31 (3.1%) 628 (4.4%)
Slightly oppose 78 (7.6%) 63 (6.2%) 96 (9.5%) 113 (11.1%) 78 (7.7%) 71 (7.1%) 122 (12.1%) 44 (4.4%) 69 (6.9%) 63 (6.3%) 51 (5.1%) 122 (12.1%) 56 (5.5%) 55 (5.5%) 1081 (7.6%)
Neutral / No opinion 322 (31.4%) 349 (34.5%) 318 (31.5%) 345 (34.0%) 229 (22.7%) 340 (33.9%) 336 (33.3%) 346 (34.5%) 266 (26.5%) 365 (36.4%) 262 (26.0%) 307 (30.4%) 337 (33.3%) 362 (36.0%) 4484 (31.7%)
Slightly support 131 (12.8%) 98 (9.7%) 121 (12.0%) 126 (12.4%) 140 (13.9%) 148 (14.8%) 120 (11.9%) 87 (8.7%) 152 (15.1%) 112 (11.2%) 132 (13.1%) 140 (13.8%) 77 (7.6%) 113 (11.2%) 1697 (12.0%)
Moderately support 102 (9.9%) 71 (7.0%) 87 (8.6%) 115 (11.3%) 117 (11.6%) 77 (7.7%) 95 (9.4%) 125 (12.5%) 146 (14.5%) 120 (12.0%) 129 (12.8%) 95 (9.4%) 83 (8.2%) 114 (11.3%) 1476 (10.4%)
Strongly support 290 (28.3%) 358 (35.4%) 321 (31.8%) 206 (20.3%) 368 (36.5%) 253 (25.2%) 178 (17.6%) 306 (30.5%) 316 (31.4%) 239 (23.8%) 353 (35.0%) 225 (22.3%) 300 (29.6%) 298 (29.6%) 4011 (28.4%)
Q7_ban_sale_support
Strongly oppose 49 (4.8%) 50 (4.9%) 54 (5.4%) 60 (5.9%) 38 (3.8%) 66 (6.6%) 97 (9.6%) 47 (4.7%) 42 (4.2%) 65 (6.5%) 40 (4.0%) 80 (7.9%) 102 (10.1%) 44 (4.4%) 834 (5.9%)
Moderately oppose 81 (7.9%) 51 (5.0%) 25 (2.5%) 65 (6.4%) 55 (5.5%) 44 (4.4%) 78 (7.7%) 53 (5.3%) 37 (3.7%) 58 (5.8%) 35 (3.5%) 56 (5.5%) 74 (7.3%) 37 (3.7%) 749 (5.3%)
Slightly oppose 100 (9.7%) 79 (7.8%) 108 (10.7%) 119 (11.7%) 85 (8.4%) 101 (10.1%) 131 (13.0%) 67 (6.7%) 76 (7.6%) 99 (9.9%) 77 (7.6%) 107 (10.6%) 77 (7.6%) 79 (7.9%) 1305 (9.2%)
Neutral / No opinion 308 (30.0%) 322 (31.8%) 311 (30.9%) 347 (34.2%) 255 (25.3%) 339 (33.8%) 318 (31.5%) 333 (33.2%) 252 (25.1%) 359 (35.8%) 274 (27.2%) 316 (31.3%) 359 (35.4%) 338 (33.6%) 4431 (31.4%)
Slightly support 127 (12.4%) 85 (8.4%) 121 (12.0%) 130 (12.8%) 125 (12.4%) 143 (14.3%) 131 (13.0%) 109 (10.9%) 152 (15.1%) 104 (10.4%) 116 (11.5%) 160 (15.8%) 75 (7.4%) 127 (12.6%) 1705 (12.1%)
Moderately support 88 (8.6%) 83 (8.2%) 111 (11.0%) 102 (10.0%) 122 (12.1%) 62 (6.2%) 85 (8.4%) 118 (11.8%) 142 (14.1%) 104 (10.4%) 133 (13.2%) 85 (8.4%) 75 (7.4%) 113 (11.2%) 1423 (10.1%)
Strongly support 273 (26.6%) 341 (33.7%) 278 (27.6%) 193 (19.0%) 329 (32.6%) 248 (24.7%) 169 (16.7%) 276 (27.5%) 304 (30.2%) 214 (21.3%) 333 (33.0%) 207 (20.5%) 251 (24.8%) 268 (26.6%) 3684 (26.1%)
Q7_ban_subsidies_support
Strongly oppose 63 (6.1%) 101 (10.0%) 60 (6.0%) 76 (7.5%) 44 (4.4%) 84 (8.4%) 82 (8.1%) 75 (7.5%) 68 (6.8%) 88 (8.8%) 41 (4.1%) 80 (7.9%) 123 (12.1%) 71 (7.1%) 1056 (7.5%)
Moderately oppose 50 (4.9%) 34 (3.4%) 28 (2.8%) 68 (6.7%) 36 (3.6%) 43 (4.3%) 86 (8.5%) 40 (4.0%) 51 (5.1%) 58 (5.8%) 45 (4.5%) 70 (6.9%) 53 (5.2%) 32 (3.2%) 694 (4.9%)
Slightly oppose 95 (9.3%) 71 (7.0%) 99 (9.8%) 130 (12.8%) 66 (6.5%) 98 (9.8%) 112 (11.1%) 54 (5.4%) 67 (6.7%) 83 (8.3%) 60 (6.0%) 106 (10.5%) 78 (7.7%) 77 (7.7%) 1196 (8.5%)
Neutral / No opinion 276 (26.9%) 303 (30.0%) 272 (27.0%) 295 (29.0%) 200 (19.8%) 307 (30.6%) 295 (29.2%) 320 (31.9%) 249 (24.8%) 307 (30.6%) 248 (24.6%) 307 (30.4%) 304 (30.0%) 328 (32.6%) 4011 (28.4%)
Slightly support 124 (12.1%) 86 (8.5%) 118 (11.7%) 122 (12.0%) 138 (13.7%) 155 (15.5%) 127 (12.6%) 94 (9.4%) 147 (14.6%) 100 (10.0%) 113 (11.2%) 128 (12.7%) 80 (7.9%) 100 (9.9%) 1632 (11.5%)
Moderately support 115 (11.2%) 72 (7.1%) 107 (10.6%) 93 (9.2%) 125 (12.4%) 61 (6.1%) 99 (9.8%) 110 (11.0%) 126 (12.5%) 103 (10.3%) 132 (13.1%) 93 (9.2%) 87 (8.6%) 109 (10.8%) 1432 (10.1%)
Strongly support 303 (29.5%) 344 (34.0%) 324 (32.1%) 232 (22.8%) 400 (39.6%) 255 (25.4%) 208 (20.6%) 310 (30.9%) 297 (29.6%) 264 (26.3%) 369 (36.6%) 227 (22.5%) 288 (28.4%) 289 (28.7%) 4110 (29.1%)
Q9_vote_candidate_support
Much more likely 121 (11.8%) 111 (11.0%) 160 (15.9%) 133 (13.1%) 216 (21.4%) 136 (13.6%) 86 (8.5%) 155 (15.5%) 139 (13.8%) 86 (8.6%) 179 (17.8%) 152 (15.0%) 108 (10.7%) 147 (14.6%) 1929 (13.7%)
A little more likely 208 (20.3%) 241 (23.8%) 210 (20.8%) 216 (21.3%) 271 (26.9%) 207 (20.6%) 215 (21.3%) 207 (20.6%) 260 (25.9%) 226 (22.5%) 241 (23.9%) 219 (21.7%) 185 (18.3%) 214 (21.3%) 3120 (22.1%)
No difference 396 (38.6%) 379 (37.5%) 382 (37.9%) 384 (37.8%) 298 (29.5%) 405 (40.4%) 413 (40.9%) 365 (36.4%) 381 (37.9%) 442 (44.1%) 376 (37.3%) 394 (39.0%) 385 (38.0%) 399 (39.7%) 5399 (38.2%)
A little less likely 140 (13.6%) 67 (6.6%) 89 (8.8%) 98 (9.6%) 74 (7.3%) 88 (8.8%) 104 (10.3%) 74 (7.4%) 60 (6.0%) 87 (8.7%) 78 (7.7%) 93 (9.2%) 107 (10.6%) 68 (6.8%) 1227 (8.7%)
Much less likely 57 (5.6%) 53 (5.2%) 60 (6.0%) 102 (10.0%) 66 (6.5%) 53 (5.3%) 85 (8.4%) 58 (5.8%) 52 (5.2%) 41 (4.1%) 45 (4.5%) 76 (7.5%) 106 (10.5%) 41 (4.1%) 895 (6.3%)
Don't know 104 (10.1%) 160 (15.8%) 107 (10.6%) 83 (8.2%) 84 (8.3%) 114 (11.4%) 106 (10.5%) 144 (14.4%) 113 (11.2%) 121 (12.1%) 89 (8.8%) 77 (7.6%) 122 (12.0%) 137 (13.6%) 1561 (11.0%)

Explore support by country

## Support farming octopuses(pre-message):
Var1 Freq
Neutral/Don’t know 42.1
Oppose 31.5
Support 26.4
Neutral/Don’t know Oppose Support
Netherlands 42.1 41.2 16.7
Belgium 48.5 34.1 17.4
Denmark 48.6 32.3 19.1
France 44.5 33.4 22.1
Poland 50.5 27.3 22.1
UK 42.1 34.1 23.8
Sweden 46.9 28.5 24.6
Germany 41.2 33.2 25.6
Czechia 44.0 28.4 27.5
Italy 33.2 36.9 29.9
Slovenia 36.5 33.1 30.3
Greece 36.6 30.1 33.3
Portugal 39.5 26.4 34.2
Spain 35.4 21.9 42.7 
## Support for ban on farming octopuses (post-message):
Var1 Freq
Neutral/Don’t know 31.7
Oppose 17.4
Support 50.8
Neutral/Don’t know Oppose Support
Spain 33.3 27.8 38.9
Portugal 34.0 22.0 44.0
Czechia 33.3 21.3 45.4
Greece 30.4 24.1 45.5
Denmark 36.4 16.7 47.0
Poland 33.9 18.4 47.7
Slovenia 31.4 17.6 51.0
Sweden 34.5 13.9 51.6
France 34.5 13.4 52.1
Belgium 36.0 11.8 52.2
Germany 31.5 16.0 52.5
UK 26.0 13.1 60.9
Netherlands 26.5 12.4 61.1
Italy 22.7 15.4 61.9 
## Support for ban on sale of octopuses (post-message):
Var1 Freq
Neutral/Don’t know 31.4
Oppose 20.4
Support 48.2
Neutral/Don’t know Oppose Support
Spain 31.5 30.3 38.2
Czechia 35.4 25.0 39.6
Portugal 34.2 24.0 41.8
Denmark 35.8 22.1 42.1
Greece 31.3 24.0 44.7
Poland 33.8 21.0 45.2
Slovenia 30.0 22.4 47.6
Sweden 33.2 16.7 50.1
France 31.8 17.8 50.3
Belgium 33.6 15.9 50.5
Germany 30.9 18.6 50.6
Italy 25.3 17.6 57.1
UK 27.2 15.1 57.7
Netherlands 25.1 15.4 59.5 
## Support for ban on subsidies (post-message):
Var1 Freq
Neutral/Don’t know 28.4
Oppose 20.8
Support 50.8
Neutral/Don’t know Oppose Support
Spain 29.2 27.8 43.0
Portugal 29.0 27.0 44.0
Greece 30.4 25.3 44.3
Czechia 30.0 25.1 44.9
Denmark 30.6 22.8 46.6
Poland 30.6 22.4 47.0
Belgium 32.6 17.9 49.5
France 30.0 20.4 49.7
Sweden 31.9 16.8 51.2
Slovenia 26.9 20.3 52.8
Germany 27.0 18.6 54.5
Netherlands 24.8 18.5 56.7
UK 24.6 14.5 60.9
Italy 19.8 14.5 65.7

Explore demographics by message

Control
(N=2822)		 Sentience + Wellfare
(N=2821)		 Environmental
(N=2831)		 Economics
(N=2824)		 Public health
(N=2833)		 Overall
(N=14131)
Gender
Male 1373 (48.7%) 1361 (48.2%) 1424 (50.3%) 1328 (47.0%) 1375 (48.5%) 6861 (48.6%)
Female 1439 (51.0%) 1450 (51.4%) 1392 (49.2%) 1484 (52.5%) 1450 (51.2%) 7215 (51.1%)
I identify in another way 2 (0.1%) 4 (0.1%) 5 (0.2%) 4 (0.1%) 1 (0.0%) 16 (0.1%)
Non Binary 2 (0.1%) 4 (0.1%) 5 (0.2%) 3 (0.1%) 5 (0.2%) 19 (0.1%)
Prefer not to say 6 (0.2%) 2 (0.1%) 5 (0.2%) 5 (0.2%) 2 (0.1%) 20 (0.1%)
Age
Mean (SD) 48.4 (17.3) 48.7 (17.1) 48.3 (16.9) 48.7 (17.2) 48.5 (17.0) 48.5 (17.1)
Median [Min, Max] 49.0 [18.0, 99.0] 49.0 [18.0, 99.0] 49.0 [18.0, 99.0] 49.0 [18.0, 99.0] 48.0 [18.0, 99.0] 49.0 [18.0, 99.0]
dAGE
18-24 279 (9.9%) 258 (9.1%) 262 (9.3%) 274 (9.7%) 267 (9.4%) 1340 (9.5%)
25-34 437 (15.5%) 438 (15.5%) 442 (15.6%) 430 (15.2%) 434 (15.3%) 2181 (15.4%)
35-44 471 (16.7%) 465 (16.5%) 498 (17.6%) 450 (15.9%) 492 (17.4%) 2376 (16.8%)
45-54 488 (17.3%) 510 (18.1%) 501 (17.7%) 510 (18.1%) 507 (17.9%) 2516 (17.8%)
55-64 506 (17.9%) 521 (18.5%) 488 (17.2%) 488 (17.3%) 501 (17.7%) 2504 (17.7%)
65+ 641 (22.7%) 629 (22.3%) 640 (22.6%) 672 (23.8%) 632 (22.3%) 3214 (22.7%)
URBANRURAL
City 1250 (44.3%) 1276 (45.2%) 1302 (46.0%) 1266 (44.8%) 1300 (45.9%) 6394 (45.2%)
Town 1105 (39.2%) 1104 (39.1%) 1088 (38.4%) 1102 (39.0%) 1081 (38.2%) 5480 (38.8%)
Village 351 (12.4%) 342 (12.1%) 353 (12.5%) 338 (12.0%) 351 (12.4%) 1735 (12.3%)
Hamlet or Isolated Dwelling 95 (3.4%) 88 (3.1%) 81 (2.9%) 103 (3.6%) 87 (3.1%) 454 (3.2%)
Prefer not to say 21 (0.7%) 11 (0.4%) 7 (0.2%) 15 (0.5%) 14 (0.5%) 68 (0.5%)
income_cat
Low 1415 (50.1%) 1415 (50.2%) 1407 (49.7%) 1401 (49.6%) 1426 (50.3%) 7064 (50.0%)
Medium 872 (30.9%) 840 (29.8%) 900 (31.8%) 874 (30.9%) 891 (31.5%) 4377 (31.0%)
High 366 (13.0%) 381 (13.5%) 356 (12.6%) 375 (13.3%) 354 (12.5%) 1832 (13.0%)
No response 169 (6.0%) 185 (6.6%) 168 (5.9%) 174 (6.2%) 162 (5.7%) 858 (6.1%)

Explore opinions by message

Control
(N=2822)		 Sentience + Wellfare
(N=2821)		 Environmental
(N=2831)		 Economics
(N=2824)		 Public health
(N=2833)		 Overall
(N=14131)
Q1_awareness
Yes, I know a lot about this 81 (2.9%) 87 (3.1%) 83 (2.9%) 92 (3.3%) 108 (3.8%) 451 (3.2%)
Yes, I know a little about this 181 (6.4%) 165 (5.8%) 140 (4.9%) 147 (5.2%) 161 (5.7%) 794 (5.6%)
Yes, I heard about this 277 (9.8%) 279 (9.9%) 283 (10.0%) 308 (10.9%) 284 (10.0%) 1431 (10.1%)
No, I haven't heard about this before 2226 (78.9%) 2233 (79.2%) 2267 (80.1%) 2221 (78.6%) 2230 (78.7%) 11177 (79.1%)
Don't know 57 (2.0%) 57 (2.0%) 58 (2.0%) 56 (2.0%) 50 (1.8%) 278 (2.0%)
Q2_support
Strongly support 128 (4.5%) 165 (5.8%) 150 (5.3%) 154 (5.5%) 177 (6.2%) 774 (5.5%)
Moderately support 268 (9.5%) 251 (8.9%) 258 (9.1%) 257 (9.1%) 239 (8.4%) 1273 (9.0%)
Slightly support 333 (11.8%) 330 (11.7%) 345 (12.2%) 337 (11.9%) 340 (12.0%) 1685 (11.9%)
Neutral / No opinion 993 (35.2%) 979 (34.7%) 944 (33.3%) 933 (33.0%) 958 (33.8%) 4807 (34.0%)
Slightly oppose 286 (10.1%) 292 (10.4%) 310 (11.0%) 338 (12.0%) 284 (10.0%) 1510 (10.7%)
Moderately oppose 224 (7.9%) 189 (6.7%) 215 (7.6%) 197 (7.0%) 209 (7.4%) 1034 (7.3%)
Strongly oppose 363 (12.9%) 401 (14.2%) 375 (13.2%) 377 (13.3%) 391 (13.8%) 1907 (13.5%)
Don't know 227 (8.0%) 214 (7.6%) 234 (8.3%) 231 (8.2%) 235 (8.3%) 1141 (8.1%)
Q4_welfare_knowledge
Not at all 1515 (53.7%) 1545 (54.8%) 1543 (54.5%) 1472 (52.1%) 1481 (52.3%) 7556 (53.5%)
Slightly knowledgeable 600 (21.3%) 579 (20.5%) 593 (20.9%) 611 (21.6%) 612 (21.6%) 2995 (21.2%)
Moderately knowledgeable 476 (16.9%) 454 (16.1%) 452 (16.0%) 472 (16.7%) 476 (16.8%) 2330 (16.5%)
Very knowledgeable 177 (6.3%) 179 (6.3%) 170 (6.0%) 186 (6.6%) 176 (6.2%) 888 (6.3%)
Extremely knowledgeable 54 (1.9%) 64 (2.3%) 73 (2.6%) 83 (2.9%) 88 (3.1%) 362 (2.6%)
Q4_environmental_knowledge
Not at all 1407 (49.9%) 1453 (51.5%) 1449 (51.2%) 1387 (49.1%) 1416 (50.0%) 7112 (50.3%)
Slightly knowledgeable 655 (23.2%) 623 (22.1%) 649 (22.9%) 637 (22.6%) 651 (23.0%) 3215 (22.8%)
Moderately knowledgeable 492 (17.4%) 488 (17.3%) 491 (17.3%) 526 (18.6%) 508 (17.9%) 2505 (17.7%)
Very knowledgeable 198 (7.0%) 183 (6.5%) 174 (6.1%) 196 (6.9%) 180 (6.4%) 931 (6.6%)
Extremely knowledgeable 70 (2.5%) 74 (2.6%) 68 (2.4%) 78 (2.8%) 78 (2.8%) 368 (2.6%)
Q4_economic_knowledge
Not at all 1521 (53.9%) 1575 (55.8%) 1555 (54.9%) 1505 (53.3%) 1523 (53.8%) 7679 (54.3%)
Slightly knowledgeable 596 (21.1%) 542 (19.2%) 626 (22.1%) 602 (21.3%) 619 (21.8%) 2985 (21.1%)
Moderately knowledgeable 483 (17.1%) 472 (16.7%) 444 (15.7%) 488 (17.3%) 457 (16.1%) 2344 (16.6%)
Very knowledgeable 162 (5.7%) 173 (6.1%) 150 (5.3%) 162 (5.7%) 162 (5.7%) 809 (5.7%)
Extremely knowledgeable 60 (2.1%) 59 (2.1%) 56 (2.0%) 67 (2.4%) 72 (2.5%) 314 (2.2%)
Q4_sentience_knowledge
Not at all 1259 (44.6%) 1278 (45.3%) 1284 (45.4%) 1204 (42.6%) 1269 (44.8%) 6294 (44.5%)
Slightly knowledgeable 614 (21.8%) 581 (20.6%) 573 (20.2%) 608 (21.5%) 600 (21.2%) 2976 (21.1%)
Moderately knowledgeable 555 (19.7%) 569 (20.2%) 576 (20.3%) 599 (21.2%) 539 (19.0%) 2838 (20.1%)
Very knowledgeable 276 (9.8%) 260 (9.2%) 273 (9.6%) 271 (9.6%) 278 (9.8%) 1358 (9.6%)
Extremely knowledgeable 118 (4.2%) 133 (4.7%) 125 (4.4%) 142 (5.0%) 147 (5.2%) 665 (4.7%)
Q4_public_health_knowledge
Not at all 1492 (52.9%) 1523 (54.0%) 1536 (54.3%) 1439 (51.0%) 1485 (52.4%) 7475 (52.9%)
Slightly knowledgeable 618 (21.9%) 571 (20.2%) 595 (21.0%) 633 (22.4%) 595 (21.0%) 3012 (21.3%)
Moderately knowledgeable 486 (17.2%) 486 (17.2%) 472 (16.7%) 518 (18.3%) 497 (17.5%) 2459 (17.4%)
Very knowledgeable 165 (5.8%) 174 (6.2%) 154 (5.4%) 170 (6.0%) 181 (6.4%) 844 (6.0%)
Extremely knowledgeable 61 (2.2%) 67 (2.4%) 74 (2.6%) 64 (2.3%) 75 (2.6%) 341 (2.4%)
Q5_consumption_frequency
Never 1358 (48.1%) 1333 (47.3%) 1337 (47.2%) 1383 (49.0%) 1363 (48.1%) 6774 (47.9%)
A few times a year 1080 (38.3%) 1097 (38.9%) 1117 (39.5%) 1087 (38.5%) 1047 (37.0%) 5428 (38.4%)
At least once a month 304 (10.8%) 306 (10.8%) 294 (10.4%) 265 (9.4%) 337 (11.9%) 1506 (10.7%)
Every week 62 (2.2%) 70 (2.5%) 64 (2.3%) 70 (2.5%) 68 (2.4%) 334 (2.4%)
Multiple times a week 18 (0.6%) 15 (0.5%) 19 (0.7%) 19 (0.7%) 18 (0.6%) 89 (0.6%)
Q6_impact_on_consumption
Significantly decrease 66 (2.3%) 76 (2.7%) 79 (2.8%) 80 (2.8%) 86 (3.0%) 387 (2.7%)
Decrease 103 (3.6%) 91 (3.2%) 107 (3.8%) 94 (3.3%) 107 (3.8%) 502 (3.6%)
Slightly decrease 119 (4.2%) 135 (4.8%) 114 (4.0%) 127 (4.5%) 124 (4.4%) 619 (4.4%)
No impact 696 (24.7%) 692 (24.5%) 741 (26.2%) 700 (24.8%) 709 (25.0%) 3538 (25.0%)
Slightly increase 304 (10.8%) 325 (11.5%) 295 (10.4%) 284 (10.1%) 280 (9.9%) 1488 (10.5%)
Increase 140 (5.0%) 118 (4.2%) 121 (4.3%) 117 (4.1%) 119 (4.2%) 615 (4.4%)
Significantly increase 36 (1.3%) 51 (1.8%) 37 (1.3%) 39 (1.4%) 45 (1.6%) 208 (1.5%)
Missing 1358 (48.1%) 1333 (47.3%) 1337 (47.2%) 1383 (49.0%) 1363 (48.1%) 6774 (47.9%)
Q7_ban_farming_support
Strongly oppose 137 (4.9%) 132 (4.7%) 161 (5.7%) 169 (6.0%) 155 (5.5%) 754 (5.3%)
Moderately oppose 149 (5.3%) 108 (3.8%) 136 (4.8%) 127 (4.5%) 108 (3.8%) 628 (4.4%)
Slightly oppose 226 (8.0%) 180 (6.4%) 246 (8.7%) 227 (8.0%) 202 (7.1%) 1081 (7.6%)
Neutral / No opinion 1016 (36.0%) 850 (30.1%) 861 (30.4%) 913 (32.3%) 844 (29.8%) 4484 (31.7%)
Slightly support 305 (10.8%) 367 (13.0%) 324 (11.4%) 339 (12.0%) 362 (12.8%) 1697 (12.0%)
Moderately support 292 (10.3%) 265 (9.4%) 307 (10.8%) 310 (11.0%) 302 (10.7%) 1476 (10.4%)
Strongly support 697 (24.7%) 919 (32.6%) 796 (28.1%) 739 (26.2%) 860 (30.4%) 4011 (28.4%)
Q7_ban_sale_support
Strongly oppose 160 (5.7%) 164 (5.8%) 162 (5.7%) 168 (5.9%) 180 (6.4%) 834 (5.9%)
Moderately oppose 182 (6.4%) 126 (4.5%) 144 (5.1%) 168 (5.9%) 129 (4.6%) 749 (5.3%)
Slightly oppose 273 (9.7%) 234 (8.3%) 286 (10.1%) 259 (9.2%) 253 (8.9%) 1305 (9.2%)
Neutral / No opinion 985 (34.9%) 808 (28.6%) 886 (31.3%) 932 (33.0%) 820 (28.9%) 4431 (31.4%)
Slightly support 310 (11.0%) 366 (13.0%) 334 (11.8%) 337 (11.9%) 358 (12.6%) 1705 (12.1%)
Moderately support 266 (9.4%) 283 (10.0%) 276 (9.7%) 290 (10.3%) 308 (10.9%) 1423 (10.1%)
Strongly support 646 (22.9%) 840 (29.8%) 743 (26.2%) 670 (23.7%) 785 (27.7%) 3684 (26.1%)
Q7_ban_subsidies_support
Strongly oppose 198 (7.0%) 203 (7.2%) 207 (7.3%) 222 (7.9%) 226 (8.0%) 1056 (7.5%)
Moderately oppose 163 (5.8%) 127 (4.5%) 149 (5.3%) 127 (4.5%) 128 (4.5%) 694 (4.9%)
Slightly oppose 263 (9.3%) 225 (8.0%) 223 (7.9%) 239 (8.5%) 246 (8.7%) 1196 (8.5%)
Neutral / No opinion 874 (31.0%) 765 (27.1%) 801 (28.3%) 816 (28.9%) 755 (26.7%) 4011 (28.4%)
Slightly support 322 (11.4%) 312 (11.1%) 319 (11.3%) 344 (12.2%) 335 (11.8%) 1632 (11.5%)
Moderately support 274 (9.7%) 259 (9.2%) 329 (11.6%) 300 (10.6%) 270 (9.5%) 1432 (10.1%)
Strongly support 728 (25.8%) 930 (33.0%) 803 (28.4%) 776 (27.5%) 873 (30.8%) 4110 (29.1%)
Q9_vote_candidate_support
Much more likely 312 (11.1%) 412 (14.6%) 379 (13.4%) 396 (14.0%) 430 (15.2%) 1929 (13.7%)
A little more likely 562 (19.9%) 664 (23.5%) 645 (22.8%) 587 (20.8%) 662 (23.4%) 3120 (22.1%)
No difference 1205 (42.7%) 1004 (35.6%) 1076 (38.0%) 1102 (39.0%) 1012 (35.7%) 5399 (38.2%)
A little less likely 251 (8.9%) 239 (8.5%) 244 (8.6%) 256 (9.1%) 237 (8.4%) 1227 (8.7%)
Much less likely 164 (5.8%) 192 (6.8%) 194 (6.9%) 176 (6.2%) 169 (6.0%) 895 (6.3%)
Don't know 328 (11.6%) 310 (11.0%) 293 (10.3%) 307 (10.9%) 323 (11.4%) 1561 (11.0%)

Explore opinions by message - coded as continious

Control
(N=2822)		 Sentience + Wellfare
(N=2821)		 Environmental
(N=2831)		 Economics
(N=2824)		 Public health
(N=2833)		 Overall
(N=14131)
Q1_awareness
Mean (SD) 3.68 (0.724) 3.69 (0.724) 3.71 (0.698) 3.68 (0.723) 3.67 (0.756) 3.68 (0.725)
Median [Min, Max] 4.00 [1.00, 4.00] 4.00 [1.00, 4.00] 4.00 [1.00, 4.00] 4.00 [1.00, 4.00] 4.00 [1.00, 4.00] 4.00 [1.00, 4.00]
Missing 57 (2.0%) 57 (2.0%) 58 (2.0%) 56 (2.0%) 50 (1.8%) 278 (2.0%)
Q2_support
Mean (SD) 4.22 (1.63) 4.21 (1.68) 4.21 (1.66) 4.21 (1.66) 4.20 (1.69) 4.21 (1.66)
Median [Min, Max] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00]
Missing 227 (8.0%) 214 (7.6%) 234 (8.3%) 231 (8.2%) 235 (8.3%) 1141 (8.1%)
Q4_welfare_knowledge
Mean (SD) 1.81 (1.05) 1.81 (1.06) 1.81 (1.07) 1.87 (1.09) 1.86 (1.10) 1.83 (1.07)
Median [Min, Max] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00]
Q4_environmental_knowledge
Mean (SD) 1.89 (1.08) 1.87 (1.08) 1.86 (1.06) 1.92 (1.09) 1.89 (1.08) 1.88 (1.08)
Median [Min, Max] 2.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00] 1.00 [1.00, 5.00]
Q4_economic_knowledge
Mean (SD) 1.81 (1.05) 1.79 (1.06) 1.77 (1.02) 1.83 (1.06) 1.81 (1.06) 1.80 (1.05)
Median [Min, Max] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00]
Q4_sentience_knowledge
Mean (SD) 2.07 (1.19) 2.07 (1.20) 2.08 (1.20) 2.13 (1.21) 2.09 (1.22) 2.09 (1.20)
Median [Min, Max] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00]
Q4_public_health_knowledge
Mean (SD) 1.83 (1.05) 1.83 (1.07) 1.81 (1.06) 1.86 (1.06) 1.86 (1.08) 1.84 (1.06)
Median [Min, Max] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00] 1.00 [1.00, 5.00]
Q5_consumption_frequency
Mean (SD) 1.69 (0.799) 1.70 (0.800) 1.70 (0.797) 1.67 (0.798) 1.70 (0.816) 1.69 (0.802)
Median [Min, Max] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00] 2.00 [1.00, 5.00]
Q6_impact_on_consumption
Mean (SD) 4.12 (1.25) 4.11 (1.28) 4.06 (1.26) 4.06 (1.27) 4.04 (1.30) 4.08 (1.27)
Median [Min, Max] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00]
Missing 1358 (48.1%) 1333 (47.3%) 1337 (47.2%) 1383 (49.0%) 1363 (48.1%) 6774 (47.9%)
Q7_ban_farming_support
Mean (SD) 4.72 (1.72) 5.01 (1.75) 4.82 (1.79) 4.77 (1.76) 4.94 (1.77) 4.86 (1.76)
Median [Min, Max] 4.00 [1.00, 7.00] 5.00 [1.00, 7.00] 5.00 [1.00, 7.00] 4.00 [1.00, 7.00] 5.00 [1.00, 7.00] 5.00 [1.00, 7.00]
Q7_ban_sale_support
Mean (SD) 4.59 (1.75) 4.88 (1.80) 4.73 (1.78) 4.65 (1.76) 4.80 (1.80) 4.73 (1.78)
Median [Min, Max] 4.00 [1.00, 7.00] 5.00 [1.00, 7.00] 4.00 [1.00, 7.00] 4.00 [1.00, 7.00] 5.00 [1.00, 7.00] 4.00 [1.00, 7.00]
Q7_ban_subsidies_support
Mean (SD) 4.66 (1.83) 4.90 (1.88) 4.79 (1.86) 4.75 (1.85) 4.82 (1.90) 4.78 (1.87)
Median [Min, Max] 4.00 [1.00, 7.00] 5.00 [1.00, 7.00] 5.00 [1.00, 7.00] 5.00 [1.00, 7.00] 5.00 [1.00, 7.00] 5.00 [1.00, 7.00]
Q9_vote_candidate_support
Mean (SD) 2.76 (1.02) 2.66 (1.10) 2.70 (1.08) 2.69 (1.07) 2.62 (1.08) 2.68 (1.07)
Median [Min, Max] 3.00 [1.00, 5.00] 3.00 [1.00, 5.00] 3.00 [1.00, 5.00] 3.00 [1.00, 5.00] 3.00 [1.00, 5.00] 3.00 [1.00, 5.00]
Missing 328 (11.6%) 310 (11.0%) 293 (10.3%) 307 (10.9%) 323 (11.4%) 1561 (11.0%)

Primary results- effects of message conditions adjusting for covariates

Coef. 2.5% 97.5% Std. Error z value Pr(>|z|) Y
trSentience + Wellfare 0.36 0.25 0.46 0.05 6.68 0.00 Sentience + Wellfare
trEnvironmental 0.15 0.04 0.25 0.05 2.74 0.01 Environmental
trEconomics 0.03 -0.08 0.13 0.05 0.48 0.63 Economics
trPublic health 0.25 0.15 0.36 0.05 4.71 0.00 Public health

Coef. 2.5% 97.5% Std. Error z value Pr(>|z|) Y
trSentience + Wellfare 0.38 0.27 0.49 0.06 6.68 0.00 Sentience + Wellfare
trEnvironmental 0.20 0.09 0.31 0.06 3.68 0.00 Environmental
trEconomics 0.03 -0.08 0.14 0.06 0.47 0.64 Economics
trPublic health 0.25 0.14 0.36 0.06 4.43 0.00 Public health

Coef. 2.5% 97.5% Std. Error z value Pr(>|z|) Y
trSentience + Wellfare 0.27 0.15 0.39 0.06 4.42 0.00 Sentience + Wellfare
trEnvironmental 0.12 0.00 0.23 0.06 1.92 0.05 Environmental
trEconomics 0.03 -0.09 0.15 0.06 0.52 0.60 Economics
trPublic health 0.17 0.05 0.29 0.06 2.77 0.01 Public health

Secondary results- secondary message contrasts

Secondary analysis- country-specific message effects

Variable importance analysis- multivariate associations

Sensitivity results- Variable importance analysis- bivariate associations

Sensitivity results- unadjusted effects of message conditions

Sensitivity results- comparing age and sex distributions by country to EU census

-comparing against Eurostat 2024 data. Below is the summary of the ratio of survey proportions to EU proptions, with the IQR being a small range of 0.9716 to 1.0667, showing most strata are very representative, as seen in the heatmap. The cells that are off are the older ages generally (which probably reflects the fact that older people are less likely to use social media, and thus less likely to be surveyed). Note UK is not in the EU data anymore because of Brexit.

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
##  0.3732  0.9716  1.0032  1.0173  1.0667  1.9857      12