crimes and misdemeanors - crime rehabilitati… · 6dpsoh 6l]h dgxowv lq *%)lhogzrun wk wk $xjxvw...
TRANSCRIPT
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YouGov Survey Results
Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
HEADLINE VOTING INTENTION:Westminster Voting Intention[Weighed by likelihood to vote, excluding those who would not vote, don't know or refused]
Con 42 87 4 17 21 68 43 41 18 33 43 64 41 44 33 49 48 39 20Lab 38 4 86 36 53 17 34 41 60 46 35 20 39 36 47 32 37 48 25
Lib Dem 7 1 3 43 10 2 8 5 13 7 5 5 9 4 9 11 4 4 2SNP 4 0 0 1 7 2 4 4 1 4 6 2 4 4 0 0 0 0 44
Plaid Cymru 1 0 0 3 2 0 1 1 0 1 1 1 0 1 0 0 4 0 0Brexit Party 3 6 0 0 0 7 4 2 4 2 4 5 2 5 1 4 3 5 1
Green 4 0 6 1 6 2 3 5 3 6 4 2 4 5 10 3 4 2 5Other 1 1 0 1 1 2 2 1 1 1 2 1 1 1 0 1 2 1 3
If there were a general election held tomorrow, which party would you vote for?
Conservative 29 68 3 14 17 49 32 25 11 22 29 47 31 26 24 34 31 26 13Labour 26 3 71 29 42 13 26 26 41 30 24 15 29 22 33 22 24 33 18
Liberal Democrat 5 1 3 34 8 1 6 4 8 5 4 4 7 2 6 8 2 3 1Scottish National Party (SNP) 3 0 0 1 5 1 3 2 1 3 4 2 3 3 0 0 0 0 29
Plaid Cymru 0 0 0 2 1 0 1 0 0 0 1 1 0 1 0 0 2 0 0Brexit Party 2 5 0 0 0 5 3 2 3 1 2 4 2 3 0 3 2 3 1
Green 3 0 5 1 5 1 2 3 2 4 3 2 3 3 7 2 2 2 4Some other party 1 1 0 1 1 2 1 0 0 1 2 1 1 1 0 1 1 1 2
Would not vote 12 4 4 3 4 9 11 13 10 14 9 11 8 17 6 10 14 15 15Don’t know 17 17 12 15 15 18 11 22 8 18 21 14 14 20 13 19 18 15 16
Refused 3 1 2 0 2 1 4 2 15 2 1 0 3 3 10 1 3 2 1
And which of these parties would you vote for?[Asked only to those who answered 'some other party'; n=19]
UK Independence Party (UKIP) 37 18 0 0 0 51 42 21 0 48 35 34 26 60 0 43 25 60 28Women's Equality Party 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Some other party 63 82 100 100 100 49 58 79 100 52 65 66 74 40 100 57 75 40 72Don't know 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Refused 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
1 © 2020 YouGov plc. All Rights Reserved www.yougov.co.uk
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
On a scale of 0 (certain NOT to vote) to 10 (absolutely certain to vote), how likely would you be to vote in a general election tomorrow?
0 - Certain NOT to vote 9 2 3 1 3 6 9 9 14 11 6 7 6 13 11 6 13 11 51 1 0 0 2 1 1 1 2 0 1 1 2 1 2 0 1 1 2 22 2 1 0 0 1 2 1 2 0 1 2 2 1 3 0 2 1 2 13 1 0 0 0 1 1 1 2 1 1 1 2 0 2 1 1 1 2 24 1 1 0 0 1 1 1 1 1 2 1 1 1 1 2 2 1 1 15 6 4 4 2 4 4 5 6 8 6 4 4 4 7 5 6 5 5 86 3 2 2 2 2 2 4 3 7 4 2 2 3 4 2 3 4 3 57 4 5 2 3 3 5 4 4 4 5 4 2 3 4 1 4 4 6 18 5 7 7 3 5 7 6 4 5 6 5 5 5 6 3 6 6 5 59 8 11 8 6 8 9 9 7 5 9 8 8 9 7 10 7 8 7 9
10 - Absolutely certain to vote 60 68 74 80 73 63 59 61 54 53 66 67 67 50 64 62 56 57 63
What do you think each of the following would have been like it they had ever become Prime Minister?[Each respondent was shown a random selection of ten of the following]
Alan Johnson[n=950]
A great Prime Minister 2 1 2 3 2 1 3 1 1 3 1 0 1 2 3 1 1 4 0A good Prime Minister 8 7 11 16 13 7 10 7 1 6 13 11 10 6 14 7 9 6 9
TOTAL GOOD 10 8 13 19 15 8 13 8 2 9 14 11 11 8 17 8 10 10 9An average Prime Minister 10 12 8 13 13 12 14 6 1 5 16 16 11 9 11 12 9 9 6
A poor Prime Minister 5 9 2 2 4 8 8 3 1 4 5 8 5 4 4 5 2 7 6A terrible Prime Minister 4 6 2 4 3 7 6 3 1 4 7 3 4 4 4 5 6 3 2
TOTAL BAD 9 15 4 6 7 15 14 6 2 8 12 11 9 8 8 10 8 10 8I don't know enough about this person to say 71 65 74 63 65 65 60 80 94 79 58 62 67 75 64 70 73 71 77
George Osborne[n=922]
A great Prime Minister 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1A good Prime Minister 4 5 4 7 5 3 6 3 5 4 6 3 5 3 8 4 5 2 4
TOTAL GOOD 4 5 4 8 6 3 6 3 5 4 6 3 5 3 8 4 5 2 5An average Prime Minister 16 21 11 38 20 16 19 13 11 13 21 18 19 11 17 15 20 15 11
A poor Prime Minister 18 22 17 25 22 18 21 16 9 18 18 22 19 17 18 21 16 15 22A terrible Prime Minister 22 20 36 13 26 26 29 15 12 22 24 24 22 22 21 21 17 28 19
TOTAL BAD 40 42 53 38 48 44 50 31 21 40 42 46 41 39 39 42 33 43 41I don't know enough about this person to say 40 32 32 16 26 37 25 54 63 42 30 34 35 47 36 38 43 41 43
2 © 2020 YouGov plc. All Rights Reserved www.yougov.co.uk
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
Amber Rudd[n=957]
A great Prime Minister 0 0 0 0 0 0 1 0 0 1 0 0 0 1 1 1 0 0 0A good Prime Minister 3 3 2 10 6 2 4 2 1 3 4 3 4 2 5 3 5 2 1
TOTAL GOOD 3 3 2 10 6 2 5 2 1 4 4 3 4 3 6 4 5 2 1An average Prime Minister 13 17 14 21 17 13 15 11 9 10 16 18 15 11 11 17 15 9 12
A poor Prime Minister 17 24 18 19 18 20 21 14 14 15 17 24 18 16 15 18 14 21 16A terrible Prime Minister 18 17 27 10 22 19 21 14 5 17 23 18 21 13 17 20 15 17 17
TOTAL BAD 35 41 45 29 40 39 42 28 19 32 40 42 39 29 32 38 29 38 33I don't know enough about this person to say 48 38 40 40 37 46 38 58 71 55 39 37 42 57 50 42 51 51 54
Shirley Williams[n=868]
A great Prime Minister 1 1 2 4 3 1 1 2 0 1 2 3 2 1 2 2 2 0 2A good Prime Minister 10 11 9 14 16 10 8 13 0 4 16 21 10 11 3 11 15 8 14
TOTAL GOOD 11 12 11 18 19 11 9 15 0 5 18 24 12 12 5 13 17 8 16An average Prime Minister 12 14 11 13 12 16 15 9 1 5 17 25 13 11 16 13 7 10 17
A poor Prime Minister 9 17 4 2 8 12 11 6 4 4 14 13 9 8 7 12 6 7 9A terrible Prime Minister 7 12 4 6 5 11 9 4 2 4 10 11 8 5 4 6 8 7 6
TOTAL BAD 16 29 8 8 13 23 20 10 6 8 24 24 17 13 11 18 14 14 15I don't know enough about this person to say 61 46 70 62 55 51 55 66 93 83 42 27 59 64 68 55 62 67 51
Nye Bevan[n=932]
A great Prime Minister 5 2 11 9 8 3 7 4 5 3 9 6 6 4 9 6 4 4 6A good Prime Minister 11 9 15 20 18 11 14 9 4 6 16 20 13 10 8 12 15 8 15
TOTAL GOOD 16 11 26 29 26 14 21 13 9 9 25 26 19 14 17 18 19 12 21An average Prime Minister 7 8 7 2 5 8 9 5 7 3 10 11 7 6 11 8 5 6 5
A poor Prime Minister 5 9 1 4 4 6 7 3 1 4 5 9 4 5 4 4 5 6 8A terrible Prime Minister 3 4 2 3 1 5 4 2 1 3 5 3 2 4 2 3 3 4 0
TOTAL BAD 8 13 3 7 5 11 11 5 2 7 10 12 6 9 6 7 8 10 8I don't know enough about this person to say 69 68 65 62 64 67 60 78 82 81 56 52 67 71 67 67 69 72 66
3 © 2020 YouGov plc. All Rights Reserved www.yougov.co.uk
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
John Smith[n=937]
A great Prime Minister 6 2 8 8 10 5 8 4 0 3 11 9 7 5 6 4 6 6 15A good Prime Minister 14 19 12 22 18 15 18 11 2 6 24 26 17 11 14 14 17 13 14
TOTAL GOOD 20 21 20 30 28 20 26 15 2 9 35 35 24 16 20 18 23 19 29An average Prime Minister 8 12 6 12 10 10 10 7 1 4 11 18 8 8 9 13 4 6 5
A poor Prime Minister 5 9 2 1 3 7 7 3 1 5 7 5 5 5 4 5 4 8 0A terrible Prime Minister 4 5 5 3 3 4 5 3 1 5 5 3 4 5 2 5 4 6 0
TOTAL BAD 9 14 7 4 6 11 12 6 2 10 12 8 9 10 6 10 8 14 0I don't know enough about this person to say 62 52 67 55 55 59 52 72 95 77 41 38 60 66 65 60 65 61 66
David Miliband[n=928]
A great Prime Minister 3 2 5 10 7 2 5 2 2 5 3 3 4 2 6 3 4 3 2A good Prime Minister 14 10 19 26 24 6 14 14 10 15 16 11 19 7 16 14 14 10 18
TOTAL GOOD 17 12 24 36 31 8 19 16 12 20 19 14 23 9 22 17 18 13 20An average Prime Minister 20 19 27 22 27 18 21 19 20 16 24 23 20 20 23 19 15 25 19
A poor Prime Minister 13 18 8 15 10 18 14 12 11 11 12 17 12 14 9 15 16 9 15A terrible Prime Minister 14 25 9 6 8 24 17 11 5 10 20 19 12 17 14 15 15 15 4
TOTAL BAD 27 43 17 21 18 42 31 23 16 21 32 36 24 31 23 30 31 24 19I don't know enough about this person to say 36 26 32 21 23 32 29 42 53 43 24 27 33 39 32 34 35 38 42
Ed Miliband[n=934]
A great Prime Minister 2 1 4 2 3 1 2 2 5 3 1 0 3 1 3 2 2 1 1A good Prime Minister 9 2 21 22 18 4 9 8 10 11 8 5 12 4 15 8 6 10 8
TOTAL GOOD 11 3 25 24 21 5 11 10 15 14 9 5 15 5 18 10 8 11 9An average Prime Minister 21 16 27 28 29 12 23 20 29 22 21 17 22 21 32 19 13 26 24
A poor Prime Minister 20 25 15 25 19 24 22 18 24 14 20 26 22 17 14 21 23 15 26A terrible Prime Minister 20 37 7 10 11 32 24 17 6 15 26 27 18 23 18 22 22 19 16
TOTAL BAD 40 62 22 35 30 56 46 35 30 29 46 53 40 40 32 43 45 34 42I don't know enough about this person to say 28 19 26 13 21 27 20 36 27 34 24 24 24 34 18 27 35 30 26
Jeremy Corbyn[n=920]
A great Prime Minister 3 0 13 0 6 1 2 4 7 4 2 1 4 3 2 4 3 3 1A good Prime Minister 9 1 27 5 14 3 9 9 14 14 7 2 10 8 12 7 6 11 14
TOTAL GOOD 12 1 40 5 20 4 11 13 21 18 9 3 14 11 14 11 9 14 15An average Prime Minister 9 2 22 11 14 2 7 11 22 11 7 4 11 7 11 7 11 9 10
A poor Prime Minister 12 6 15 20 16 8 11 14 10 11 12 15 12 12 10 9 18 13 10A terrible Prime Minister 53 83 16 53 43 72 57 48 27 43 65 66 55 50 58 59 51 46 49
TOTAL BAD 65 89 31 73 59 80 68 62 37 54 77 81 67 62 68 68 69 59 59I don't know enough about this person to say 14 8 8 10 5 13 14 13 19 17 8 12 8 20 7 14 12 17 16
4 © 2020 YouGov plc. All Rights Reserved www.yougov.co.uk
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
William Hague[n=892]
A great Prime Minister 1 2 1 2 1 2 1 1 0 1 2 2 1 1 1 0 2 2 1A good Prime Minister 11 20 3 5 9 17 12 9 0 9 14 16 12 10 9 13 12 7 9
TOTAL GOOD 12 22 4 7 10 19 13 10 0 10 16 18 13 11 10 13 14 9 10An average Prime Minister 22 31 15 21 24 24 25 19 10 20 23 30 24 19 15 26 24 19 21
A poor Prime Minister 18 15 23 26 24 16 17 18 2 15 20 26 17 19 25 14 18 21 14A terrible Prime Minister 14 11 22 22 21 13 19 9 6 15 21 10 16 11 22 15 8 12 18
TOTAL BAD 32 26 45 48 45 29 36 27 8 30 41 36 33 30 47 29 26 33 32I don't know enough about this person to say 34 21 36 24 22 27 25 43 83 41 20 16 30 39 28 31 36 38 39
Jeremy Hunt[n=927]
A great Prime Minister 0 1 1 0 0 1 1 0 0 0 1 2 0 1 1 0 0 0 1A good Prime Minister 5 8 4 4 4 6 6 3 0 5 4 6 6 3 6 6 5 2 3
TOTAL GOOD 5 9 5 4 4 7 7 3 0 5 5 8 6 4 7 6 5 2 4An average Prime Minister 16 23 11 21 18 17 19 13 21 12 16 20 20 10 20 18 12 14 17
A poor Prime Minister 21 26 26 20 22 22 23 20 18 17 24 27 22 20 24 22 17 24 18A terrible Prime Minister 23 16 33 39 32 23 26 20 17 26 24 20 26 20 27 24 22 22 22
TOTAL BAD 44 42 59 59 54 45 49 40 35 43 48 47 48 40 51 46 39 46 40I don't know enough about this person to say 35 26 26 16 24 32 25 44 44 40 32 25 26 46 22 30 45 38 39
Ken Clarke[n=900]
A great Prime Minister 2 2 2 3 2 1 2 1 1 2 2 2 2 1 3 2 2 1 0A good Prime Minister 11 11 14 23 19 8 15 7 4 8 14 17 14 7 21 10 9 9 12
TOTAL GOOD 13 13 16 26 21 9 17 8 5 10 16 19 16 8 24 12 11 10 12An average Prime Minister 17 24 14 18 20 20 22 12 3 14 21 27 20 14 15 20 17 14 18
A poor Prime Minister 12 18 12 11 12 16 12 12 2 7 16 22 12 12 13 14 13 10 6A terrible Prime Minister 11 16 10 9 9 15 15 8 6 12 14 11 11 13 10 11 10 14 10
TOTAL BAD 23 34 22 20 21 31 27 20 8 19 30 33 23 25 23 25 23 24 16I don't know enough about this person to say 47 30 48 36 37 40 34 60 84 58 33 22 42 54 38 43 50 52 54
Iain Duncan Smith[n=924]
A great Prime Minister 1 2 0 0 1 1 1 1 0 1 1 1 1 1 3 0 0 1 2A good Prime Minister 7 12 2 8 4 11 8 5 1 6 7 10 6 7 4 10 7 4 3
TOTAL GOOD 8 14 2 8 5 12 9 6 1 7 8 11 7 8 7 10 7 5 5An average Prime Minister 18 30 7 12 14 26 21 16 6 13 22 28 17 20 11 21 18 19 13
A poor Prime Minister 16 20 17 23 19 17 18 14 11 14 18 19 18 13 17 17 17 13 18A terrible Prime Minister 22 11 39 34 37 15 27 17 12 24 29 17 24 19 29 20 18 22 33
TOTAL BAD 38 31 56 57 56 32 45 31 23 38 47 36 42 32 46 37 35 35 51I don't know enough about this person to say 37 25 35 24 25 29 25 47 70 43 23 25 35 39 36 32 40 41 32
5 © 2020 YouGov plc. All Rights Reserved www.yougov.co.uk
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
Michael Howard[n=932]
A great Prime Minister 0 1 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0A good Prime Minister 4 9 1 6 3 7 5 3 1 3 5 7 5 3 3 5 4 3 4
TOTAL GOOD 4 10 1 6 3 7 5 3 1 3 6 7 5 4 4 5 4 3 4An average Prime Minister 18 27 10 13 17 22 21 15 1 14 19 31 17 18 17 23 16 17 7
A poor Prime Minister 16 20 14 29 20 18 21 12 2 14 20 22 20 12 15 16 19 14 20A terrible Prime Minister 14 11 18 13 18 15 19 10 1 12 20 18 14 15 18 11 13 15 19
TOTAL BAD 30 31 32 42 38 33 40 22 3 26 40 40 34 27 33 27 32 29 39I don't know enough about this person to say 47 33 57 39 42 39 33 60 96 57 35 23 44 52 45 44 49 50 50
Enoch Powell[n=938]
A great Prime Minister 7 12 5 3 2 13 9 5 1 5 6 14 5 10 2 6 8 10 5A good Prime Minister 9 21 1 2 4 18 10 9 1 4 13 20 9 10 10 9 13 7 5
TOTAL GOOD 16 33 6 5 6 31 19 14 2 9 19 34 14 20 12 15 21 17 10An average Prime Minister 8 11 4 8 6 12 9 7 1 6 10 13 7 8 3 10 7 8 9
A poor Prime Minister 8 10 8 12 9 10 9 7 1 6 10 13 8 8 6 9 6 11 2A terrible Prime Minister 22 14 36 36 40 13 26 19 7 18 35 23 26 17 27 22 23 17 29
TOTAL BAD 30 24 44 48 49 23 35 26 8 24 45 36 34 25 33 31 29 28 31I don't know enough about this person to say 45 32 47 39 38 35 37 53 90 61 26 18 45 46 50 43 44 46 50
Tony Benn[n=922]
A great Prime Minister 4 1 11 6 9 1 4 4 0 6 4 2 4 4 5 4 2 4 5A good Prime Minister 11 10 15 16 15 11 13 9 3 9 16 12 11 10 10 10 13 11 12
TOTAL GOOD 15 11 26 22 24 12 17 13 3 15 20 14 15 14 15 14 15 15 17An average Prime Minister 12 14 12 16 15 12 14 9 5 6 14 21 13 10 15 13 7 13 9
A poor Prime Minister 13 19 11 14 15 15 17 10 3 9 12 26 12 14 11 14 11 17 7A terrible Prime Minister 13 25 3 16 12 20 18 10 2 6 24 19 15 11 17 15 13 10 11
TOTAL BAD 26 44 14 30 27 35 35 20 5 15 36 45 27 25 28 29 24 27 18I don't know enough about this person to say 47 32 49 32 36 41 34 59 87 63 29 21 45 51 42 44 54 45 56
Michael Heseltine[n=925]
A great Prime Minister 2 3 2 3 3 2 4 0 0 3 1 2 1 3 1 3 3 2 0A good Prime Minister 12 13 12 22 16 12 17 8 2 8 17 19 16 7 18 11 9 11 16
TOTAL GOOD 14 16 14 25 19 14 21 8 2 11 18 21 17 10 19 14 12 13 16An average Prime Minister 21 25 21 26 25 21 26 16 0 18 26 31 23 18 17 26 19 19 14
A poor Prime Minister 11 17 10 13 12 17 13 10 3 9 14 18 13 9 10 14 9 9 14A terrible Prime Minister 10 13 7 8 8 15 10 9 2 6 16 13 8 12 6 9 12 11 8
TOTAL BAD 21 30 17 21 20 32 23 19 5 15 30 31 21 21 16 23 21 20 22I don't know enough about this person to say 44 29 48 28 36 34 30 56 94 56 25 17 38 51 47 36 48 47 48
6 © 2020 YouGov plc. All Rights Reserved www.yougov.co.uk
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
Michael Portillo[n=712]
A great Prime Minister 2 4 0 6 1 3 3 1 2 1 3 4 2 2 0 3 3 3 0A good Prime Minister 13 20 10 20 12 20 17 10 0 12 18 21 15 11 20 16 9 10 12
TOTAL GOOD 15 24 10 26 13 23 20 11 2 13 21 25 17 13 20 19 12 13 12An average Prime Minister 16 23 18 20 19 22 19 14 6 13 22 25 19 12 20 19 15 13 10
A poor Prime Minister 10 13 6 17 14 11 11 9 5 8 15 15 12 8 3 12 13 9 12A terrible Prime Minister 9 9 15 10 13 9 10 8 1 7 16 12 9 8 8 8 10 9 13
TOTAL BAD 19 22 21 27 27 20 21 17 6 15 31 27 21 16 11 20 23 18 25I don't know enough about this person to say 49 31 51 27 40 36 40 57 86 60 25 24 43 58 50 42 50 56 53
Do you follow any of the following eating habits?Vegan (do not eat dairy products, eggs, or any other animal product) 2 0 4 2 2 1 1 2 2 2 2 0 2 1 2 3 1 1 1
Vegetarian (do not eat any meat, poultry, game, fish or shellfish) 5 3 8 9 7 3 5 6 6 7 5 2 5 5 12 4 5 6 1Pescatarian (eat fish but do not eat meat or poultry) 3 2 5 4 4 2 2 4 3 3 3 4 4 2 7 2 3 2 1
Flexitarian (mostly vegetarian but occasionally eat meat/fish) 9 6 15 10 12 6 7 11 5 12 7 7 10 8 13 8 11 7 10None of these 79 88 65 76 73 86 82 76 76 73 82 87 78 80 59 82 77 83 86
Don’t know 2 0 3 0 1 1 3 1 8 2 1 0 1 4 7 0 4 1 1
To what extent would you support or oppose labels on meat products indicating how the animal was raised and slaughtered?
Strongly support 26 23 33 23 30 24 26 27 24 28 26 24 29 23 29 26 28 24 25Tend to support 25 28 28 28 30 25 24 26 24 22 27 29 28 22 29 26 23 24 28
TOTAL SUPPORT 51 51 61 51 60 49 50 53 48 50 53 53 57 45 58 52 51 48 53Neither support nor oppose 31 32 23 42 28 32 34 28 29 27 34 34 28 35 25 31 33 33 26
Tend to oppose 6 8 4 3 4 8 5 7 2 8 5 3 6 5 5 5 5 7 5Strongly oppose 5 7 3 2 3 5 4 6 4 6 4 5 5 6 1 6 3 7 6
TOTAL OPPOSE 11 15 7 5 7 13 9 13 6 14 9 8 11 11 6 11 8 14 11Don’t know 7 3 9 2 5 6 8 6 17 8 3 4 5 10 11 6 8 5 11
Thinking about animal welfare standards on farms in the UK, which of the following comes closest to your viewpoint?
The UK has very high animal welfare standards on farms 16 24 8 19 12 22 21 12 10 14 15 25 15 18 10 17 17 19 15The UK generally has high animal welfare standards on farms, but there are
still some bad cases 57 61 59 67 65 58 55 59 47 53 64 61 64 48 55 60 56 54 57The UK generally has low animal welfare standards on farms, but there are
still some good cases 7 5 10 4 9 4 4 9 6 9 6 2 7 6 8 6 7 7 5The UK has very low animal welfare standards on farms 2 0 4 0 3 1 3 1 2 4 1 0 2 2 2 2 1 3 1
Don’t know 18 10 19 9 10 15 17 19 35 20 14 12 13 26 24 15 19 17 21
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
For each of the following farming practices, please state how often, if at all, you think they happen in the UK:Transportation of live animals to other countries for fattening or slaughter
This happens a lot 12 10 15 14 12 12 12 11 10 12 12 12 13 10 10 13 11 12 12This happens a fair amount 25 26 26 30 28 26 27 23 21 23 27 28 26 24 25 28 23 22 26
TOTAL A LOT / A FAIR AMOUNT 37 36 41 44 40 38 39 34 31 35 39 40 39 34 35 41 34 34 38This happens rarely 11 15 13 8 12 11 13 10 18 10 14 9 14 8 11 13 8 13 10
This doesn’t happen at all 3 5 2 1 3 4 3 3 0 3 4 4 4 2 6 3 4 2 1TOTAL RARELY / NOT AT ALL 14 20 15 9 15 15 16 13 18 13 18 13 18 10 17 16 12 15 11
Don’t know 49 44 44 47 46 47 45 53 51 53 43 48 44 56 48 44 54 51 50Slaughter of animals by carbon-monoxide
This happens a lot 4 1 6 3 4 2 4 3 8 5 2 1 5 2 3 2 3 6 3This happens a fair amount 6 5 6 3 6 5 7 5 5 7 4 4 5 6 4 6 4 8 4
TOTAL A LOT / A FAIR AMOUNT 10 6 12 6 10 7 11 8 13 12 6 5 10 8 7 8 7 14 7This happens rarely 7 8 7 7 6 7 9 6 14 9 5 3 8 7 9 7 6 6 11
This doesn’t happen at all 8 9 6 9 8 9 10 5 6 7 9 8 8 7 11 8 7 6 6TOTAL RARELY / NOT AT ALL 15 17 13 16 14 16 19 11 20 16 14 11 16 14 20 15 13 12 17
Don’t know 76 76 74 78 76 76 70 81 67 72 80 84 74 78 73 76 80 74 76The keeping of animals in cages
This happens a lot 19 14 28 17 21 16 17 22 25 22 18 14 20 18 24 20 18 19 16This happens a fair amount 38 39 39 37 42 39 37 38 29 37 42 38 40 35 39 33 38 41 41
TOTAL A LOT / A FAIR AMOUNT 57 53 67 54 63 55 54 60 54 59 60 52 60 53 63 53 56 60 57This happens rarely 15 22 10 20 13 18 17 13 17 13 16 16 16 12 10 21 13 10 12
This doesn’t happen at all 2 3 1 0 2 2 3 1 0 2 3 1 1 2 4 1 2 1 3TOTAL RARELY / NOT AT ALL 17 25 11 20 15 20 20 14 17 15 19 17 17 14 14 22 15 11 15
Don’t know 26 22 22 26 22 25 26 26 29 26 22 30 22 33 23 25 28 28 28Beak trimming of poultry
This happens a lot 10 8 14 5 11 8 9 10 12 11 9 6 10 9 10 10 9 10 7This happens a fair amount 17 17 17 19 18 16 19 15 18 16 18 17 18 15 19 18 14 17 16
TOTAL A LOT / A FAIR AMOUNT 27 25 31 24 29 24 28 25 30 27 27 23 28 24 29 28 23 27 23This happens rarely 9 8 10 11 10 9 10 7 14 9 8 6 9 9 10 11 6 6 12
This doesn’t happen at all 3 4 2 1 2 4 3 2 1 3 3 3 3 2 4 2 3 2 4TOTAL RARELY / NOT AT ALL 12 12 12 12 12 13 13 9 15 12 11 9 12 11 14 13 9 8 16
Don’t know 62 63 57 64 59 62 59 65 56 61 62 67 60 65 58 59 68 65 61The separation of calves from dairy cows at birth
This happens a lot 18 15 25 19 23 15 14 22 24 21 14 13 20 16 24 18 17 16 18This happens a fair amount 25 27 27 32 30 24 27 24 29 22 30 25 28 21 25 28 21 25 27
TOTAL A LOT / A FAIR AMOUNT 43 42 52 51 53 39 41 46 53 43 44 38 48 37 49 46 38 41 45This happens rarely 9 12 8 5 8 11 9 9 8 9 10 10 10 9 5 10 11 10 9
This doesn’t happen at all 2 3 0 1 1 3 3 1 0 2 1 4 2 2 3 2 3 1 1TOTAL RARELY / NOT AT ALL 11 15 8 6 9 14 12 10 8 11 11 14 12 11 8 12 14 11 10
Don’t know 45 42 39 44 39 47 47 44 40 45 45 48 40 52 43 42 48 48 46
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
Calf at foot systems, in which calves stay with their mothers until weaning age
This happens a lot 5 6 4 3 4 6 6 4 9 4 5 4 4 5 3 5 4 4 8This happens a fair amount 21 26 19 25 22 23 24 19 21 20 23 23 24 19 14 23 21 24 19
TOTAL A LOT / A FAIR AMOUNT 26 32 23 28 26 29 30 23 30 24 28 27 28 24 17 28 25 28 27This happens rarely 16 16 19 13 20 14 13 20 14 16 17 17 18 14 24 16 14 14 19
This doesn’t happen at all 2 2 4 0 2 2 2 2 2 4 1 1 1 4 4 2 2 4 0TOTAL RARELY / NOT AT ALL 18 18 23 13 22 16 15 22 16 20 18 18 19 18 28 18 16 18 19
Don’t know 55 51 53 58 53 55 56 55 54 57 54 54 53 59 56 54 58 55 54Free range
This happens a lot 17 20 15 19 16 18 18 16 13 18 17 16 18 15 16 16 20 15 14This happens a fair amount 51 57 48 54 57 52 50 53 45 47 59 55 56 45 40 56 49 51 59
TOTAL A LOT / A FAIR AMOUNT 68 77 63 73 73 70 68 69 58 65 76 71 74 60 56 72 69 66 73This happens rarely 12 8 17 11 12 11 10 14 12 14 12 9 11 13 19 10 12 13 8
This doesn’t happen at all 1 1 1 0 1 1 1 1 1 1 0 0 1 0 3 0 0 0 0TOTAL RARELY / NOT AT ALL 13 9 18 11 13 12 11 15 13 15 12 9 12 13 22 10 12 13 8
Don’t know 19 14 19 17 14 19 21 18 29 21 12 20 14 27 23 17 20 21 19
For each of the following terms, please state whether you do, or do not, associate them with higher animal welfare standards:
OrganicI associate this with higher animal welfare standards 40 41 39 35 41 39 38 41 35 38 42 42 43 35 32 40 42 42 36
I usually associate this with higher animal welfare standards, but there are still problems with this practice 28 27 31 40 32 28 27 29 25 26 35 26 30 26 38 27 25 28 27
I do not associate this with higher animal welfare standards 12 16 12 11 14 13 13 11 8 14 9 15 12 12 14 14 13 9 9Don’t know 20 16 19 15 13 19 21 19 31 22 14 18 15 27 17 19 19 22 28
Free rangeI associate this with higher animal welfare standards 48 51 47 52 46 49 49 46 48 43 52 50 51 42 47 47 47 51 45
I usually associate this with higher animal welfare standards, but there are still problems with this practice 35 36 37 41 42 34 32 37 27 35 36 37 36 33 33 37 36 32 36
I do not associate this with higher animal welfare standards 4 4 5 2 3 4 5 3 2 5 2 5 3 5 4 4 4 5 2Don’t know 14 10 11 5 9 13 14 13 23 17 10 8 9 19 16 13 13 13 18
Outdoor bredI associate this with higher animal welfare standards 35 40 33 34 35 39 37 34 24 32 41 40 38 32 35 35 37 37 30
I usually associate this with higher animal welfare standards, but there are still problems with this practice 35 37 35 43 40 35 34 36 28 33 38 37 38 31 37 35 35 32 35
I do not associate this with higher animal welfare standards 8 6 13 3 8 6 8 8 7 9 6 7 7 9 9 8 7 8 5Don’t know 22 17 20 20 17 20 21 23 40 26 15 15 18 29 20 22 21 24 29
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
Outdoor rearedI associate this with higher animal welfare standards 39 45 39 39 43 42 41 38 28 38 45 42 43 35 38 40 40 41 35
I usually associate this with higher animal welfare standards, but there are still problems with this practice 33 35 36 42 39 36 29 37 19 30 37 41 35 31 27 36 34 31 35
I do not associate this with higher animal welfare standards 6 4 7 2 5 3 7 5 11 8 3 4 5 8 12 6 4 6 3Don’t know 21 16 18 17 13 18 23 20 41 25 14 13 17 26 23 18 22 22 26
As far as you’re aware, roughly how many farm animals (e.g. cattle, pigs, sheep, and poultry) were slaughtered for consumption in the UK in 2019?[Please see Tab 1.]
Thinking about the following types of crime, do you think it is possible or not possible to rehabilitate criminals who commit that crime?
Murder of an adultIt is possible to rehabilitate someone who has commited this crime 36 34 47 46 49 29 43 30 46 37 39 28 44 26 46 33 32 36 45
It is not possible to rehabilitate someone who has commited this crime 48 53 38 33 36 55 44 51 44 48 42 56 43 55 36 52 50 49 42Don't know 16 13 15 21 16 16 13 19 11 16 19 16 14 19 18 15 19 15 13
Murder of a childIt is possible to rehabilitate someone who has commited this crime 20 16 27 32 28 13 26 14 32 19 22 13 25 13 28 20 15 19 25
It is not possible to rehabilitate someone who has commited this crime 65 72 56 51 53 74 58 71 58 64 59 74 60 70 53 66 68 67 60Don't know 16 12 17 17 19 13 16 16 10 17 19 14 15 17 20 14 17 14 15
Murder as part of acts of terrorismIt is possible to rehabilitate someone who has commited this crime 16 6 27 28 24 8 20 11 29 18 15 6 21 9 25 15 11 13 22
It is not possible to rehabilitate someone who has commited this crime 73 86 58 61 61 84 68 78 63 69 74 85 69 78 59 74 76 77 70Don't know 11 8 15 11 14 9 11 12 8 14 11 10 10 13 16 11 12 10 8
Non-fatal acts of terrorismIt is possible to rehabilitate someone who has commited this crime 28 15 43 42 40 17 32 23 45 30 27 16 34 20 39 26 23 25 36
It is not possible to rehabilitate someone who has commited this crime 56 72 41 40 42 69 55 58 45 52 53 71 52 61 41 59 56 61 51Don't know 16 13 16 17 18 14 13 19 10 18 19 13 14 19 20 15 21 14 13
Sexual offences against adultsIt is possible to rehabilitate someone who has commited this crime 24 20 31 33 30 18 33 16 47 23 24 16 29 19 33 22 22 24 30
It is not possible to rehabilitate someone who has commited this crime 58 66 47 47 47 67 50 65 41 58 53 70 55 62 44 62 60 59 53Don't know 18 14 21 19 23 15 17 19 12 19 22 13 17 19 23 16 18 18 17
Sexual offences against childrenIt is possible to rehabilitate someone who has commited this crime 12 7 17 19 16 7 17 7 24 12 9 7 16 7 17 13 9 9 13
It is not possible to rehabilitate someone who has commited this crime 76 83 67 70 68 83 70 81 69 74 74 85 73 80 67 77 76 79 76Don't know 12 9 16 10 16 10 13 12 7 14 16 8 12 13 16 11 15 11 11
Grievous bodily harmIt is possible to rehabilitate someone who has commited this crime 63 62 74 71 72 58 65 61 73 66 65 50 68 57 67 61 65 63 63
It is not possible to rehabilitate someone who has commited this crime 23 26 17 17 15 29 23 24 22 19 21 34 22 26 21 25 21 24 23Don't know 13 12 9 12 13 14 12 15 5 14 14 15 10 18 12 14 14 12 14
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
Verbal hate crimesIt is possible to rehabilitate someone who has commited this crime 67 67 75 75 74 63 71 64 75 73 66 54 71 61 66 65 67 68 74
It is not possible to rehabilitate someone who has commited this crime 19 21 14 13 14 21 17 21 16 14 18 29 17 20 21 19 18 20 14Don't know 14 12 11 11 12 16 13 16 9 13 16 17 11 18 12 16 15 11 13
Multiple murderIt is possible to rehabilitate someone who has commited this crime 11 5 17 19 17 5 16 6 22 13 10 4 14 7 18 11 8 9 16
It is not possible to rehabilitate someone who has commited this crime 77 88 66 65 66 86 72 81 68 73 77 86 74 80 66 79 77 81 71Don't know 12 8 17 16 17 9 11 13 9 14 13 10 11 13 17 10 15 10 13
Racially motivated assaultIt is possible to rehabilitate someone who has commited this crime 51 47 62 59 60 45 59 44 67 57 51 35 57 44 53 49 52 51 59
It is not possible to rehabilitate someone who has commited this crime 34 41 24 30 27 41 29 39 22 29 34 49 31 39 33 36 31 37 30Don't know 14 12 15 11 13 14 12 17 11 14 15 16 12 17 14 15 16 12 11
ShopliftingIt is possible to rehabilitate someone who has commited this crime 83 79 87 90 88 77 81 84 91 84 83 76 86 78 81 82 81 83 90
It is not possible to rehabilitate someone who has commited this crime 9 13 6 5 6 13 10 8 5 7 9 15 8 11 10 9 9 10 4Don't know 8 7 7 5 6 9 9 8 4 10 8 9 6 11 9 9 10 7 5
FraudIt is possible to rehabilitate someone who has commited this crime 74 73 82 80 80 72 75 74 77 77 74 67 79 68 69 74 73 73 86
It is not possible to rehabilitate someone who has commited this crime 13 16 9 9 10 15 14 13 13 11 12 19 11 17 18 13 12 15 7Don't know 12 11 10 11 10 13 11 14 10 12 13 14 10 15 13 13 15 11 7
Thinking about the following types of crime, how safe or unsafe would you feel around someone who had previously committed that crime, served their sentence, and been released?
Murder of an adultVery safe 0 0 1 0 1 0 1 0 0 1 for 0 0 0 1 1 0 0 0
Somewhat safe 6 4 7 8 8 5 8 4 2 7 fraud 5 7 5 9 6 6 4 8TOTAL SAFE 6 4 8 8 9 5 9 4 2 8 #### 5 7 5 10 7 6 4 8
Somewhat unsafe 21 21 24 22 25 22 25 17 15 18 27 22 22 20 14 24 21 21 19Very unsafe 63 67 59 61 55 64 56 70 77 63 57 64 62 64 69 59 63 68 60
TOTAL UNSAFE 84 88 83 83 80 86 81 87 92 81 84 86 84 84 83 83 84 89 79Don't know 7 6 8 8 8 6 9 6 2 10 7 7 7 8 7 8 8 6 9
Prefer not to say 2 2 2 1 2 2 2 2 3 1 2 3 2 2 0 2 1 2 4Murder of a child
Very safe 1 1 1 3 1 1 2 0 2 1 1 1 1 1 2 1 1 0 0Somewhat safe 6 5 7 8 9 6 9 4 1 7 8 6 8 4 7 7 7 3 9
TOTAL SAFE 7 6 8 11 10 7 11 4 3 8 9 7 9 5 9 8 8 3 9Somewhat unsafe 18 18 20 23 23 19 22 15 14 17 22 20 19 18 20 19 19 17 17
Very unsafe 63 68 60 51 54 66 54 72 70 63 58 64 61 65 62 61 61 69 58TOTAL UNSAFE 81 86 80 74 77 85 76 87 84 80 80 84 80 83 82 80 80 86 75
Don't know 9 6 11 14 11 7 11 8 10 10 8 7 10 9 9 9 9 8 12Prefer not to say 2 3 1 1 2 2 4 1 3 2 2 2 2 3 0 3 2 2 4
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
Murder as part of acts of terrorismVery safe 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 1 0 0 0
Somewhat safe 3 2 5 4 5 2 5 2 0 4 4 3 4 3 4 4 4 3 3TOTAL SAFE 3 2 6 4 5 2 6 2 0 4 5 3 4 3 5 5 4 3 3
Somewhat unsafe 11 6 17 13 16 10 12 11 12 11 14 9 12 10 15 13 9 7 18Very unsafe 77 86 68 76 69 82 72 82 83 74 74 84 76 79 75 76 78 83 68
TOTAL UNSAFE 88 92 85 89 85 92 84 93 95 85 88 93 88 89 90 89 87 90 86Don't know 6 4 8 6 8 4 7 4 2 8 6 3 6 5 5 5 8 4 8
Prefer not to say 2 2 2 1 2 2 3 2 3 2 2 2 2 2 0 2 1 3 4Non-fatal acts of terrorism
Very safe 1 0 1 0 1 1 1 0 0 1 1 0 0 1 1 1 1 0 0Somewhat safe 6 3 9 10 10 5 8 5 6 7 8 5 8 5 8 8 5 5 9
TOTAL SAFE 7 3 10 10 11 6 9 5 6 8 9 5 8 6 9 9 6 5 9Somewhat unsafe 28 25 34 30 32 27 29 26 34 25 31 26 29 26 38 30 22 25 25
Very unsafe 55 64 43 51 45 59 50 60 55 55 48 61 54 56 46 52 59 60 52TOTAL UNSAFE 83 89 77 81 77 86 79 86 89 80 79 87 83 82 84 82 81 85 77
Don't know 8 5 11 9 10 7 9 7 2 10 9 5 7 10 7 6 11 7 9Prefer not to say 2 2 2 1 3 2 3 2 4 2 3 2 2 3 0 3 1 3 4
Sexual offences against adultsVery safe 1 0 1 1 1 0 1 0 0 1 1 1 1 1 2 0 1 1 1
Somewhat safe 6 5 5 8 7 7 11 1 4 5 8 4 7 4 6 7 5 3 9TOTAL SAFE 7 5 6 9 8 7 12 1 4 6 9 5 8 5 8 7 6 4 10
Somewhat unsafe 22 24 24 26 26 23 28 17 19 20 27 23 24 20 23 21 25 23 16Very unsafe 63 63 61 57 56 63 48 77 72 64 54 65 61 65 62 63 60 67 60
TOTAL UNSAFE 85 87 85 83 82 86 76 94 91 84 81 88 85 85 85 84 85 90 76Don't know 6 5 7 7 8 5 9 4 2 8 6 5 6 7 6 6 8 4 10
Prefer not to say 2 3 2 1 2 3 3 1 3 2 3 2 2 3 2 2 2 2 4Sexual offences against children
Very safe 2 1 2 3 2 2 3 1 2 3 1 1 2 2 3 2 1 0 4Somewhat safe 7 8 9 6 10 7 10 4 4 5 11 9 9 5 5 9 8 6 6
TOTAL SAFE 9 9 11 9 12 9 13 5 6 8 12 10 11 7 8 11 9 6 10Somewhat unsafe 18 19 18 22 21 20 22 15 14 17 23 18 19 17 20 18 16 21 17
Very unsafe 62 63 60 55 56 62 52 72 69 65 55 62 59 66 67 60 63 63 60TOTAL UNSAFE 80 82 78 77 77 82 74 87 83 82 78 80 78 83 87 78 79 84 77
Don't know 8 6 9 13 9 7 10 6 6 8 8 8 8 7 5 9 8 8 8Prefer not to say 2 2 1 1 3 2 3 2 6 2 2 3 2 3 0 2 4 2 5
Grievous bodily harmVery safe 1 1 0 0 1 1 2 0 3 0 2 0 1 1 3 1 1 0 1
Somewhat safe 13 13 16 15 15 13 16 10 7 17 13 9 13 14 16 14 11 12 13TOTAL SAFE 14 14 16 15 16 14 18 10 10 17 15 9 14 15 19 15 12 12 14
Somewhat unsafe 40 41 42 40 42 42 40 40 36 40 43 38 39 41 42 40 42 39 34Very unsafe 35 39 29 37 31 37 31 40 44 31 32 43 37 33 30 36 36 37 37
TOTAL UNSAFE 75 80 71 77 73 79 71 80 80 71 75 81 76 74 72 76 78 76 71Don't know 8 5 11 7 9 5 9 8 6 10 9 6 8 9 9 7 9 9 10
Prefer not to say 2 2 2 1 2 2 2 2 4 2 2 2 2 2 0 2 1 3 5
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Sample Size: 1642 adults in GBFieldwork: 25th - 26th August 2020
Total Con LabLib
DemRemain Leave Male Female 18-24 25-49 50-64 65+ ABC1 C2DE London
Rest of South
Midlands / Wales
North Scotland
Weighted Sample 1642 557 407 148 609 650 798 844 179 685 396 383 936 706 197 552 356 396 141Unweighted Sample 1642 602 432 160 731 661 717 925 126 682 417 417 991 651 146 584 350 417 145
% % % % % % % % % % % % % % % % % % %
RegionVote In 2019 GE 2016 EU Ref Gender Age Social Grade
Verbal hate crimesVery safe 5 5 6 8 5 5 7 3 4 6 5 2 5 4 5 5 4 4 8
Somewhat safe 31 33 30 35 32 31 37 25 41 30 35 23 32 28 34 28 33 29 33TOTAL SAFE 36 38 36 43 37 36 44 28 45 36 40 25 37 32 39 33 37 33 41
Somewhat unsafe 38 39 40 39 38 39 31 45 37 38 36 43 38 39 39 40 38 41 27Very unsafe 14 13 11 11 12 13 10 17 9 13 13 18 14 14 13 15 12 14 17
TOTAL UNSAFE 52 52 51 50 50 52 41 62 46 51 49 61 52 53 52 55 50 55 44Don't know 9 7 9 7 10 9 11 8 3 12 8 9 8 11 5 10 11 9 10
Prefer not to say 3 3 4 1 2 3 4 2 6 2 3 4 3 3 4 2 2 3 4Multiple murder
Very safe 1 0 0 0 0 0 1 0 0 1 1 0 0 1 0 1 1 0 0Somewhat safe 3 2 4 3 5 2 4 2 2 3 3 2 4 2 3 3 4 1 2
TOTAL SAFE 4 2 4 3 5 2 5 2 2 4 4 2 4 3 3 4 5 1 2Somewhat unsafe 10 6 12 16 13 9 13 7 8 11 11 8 10 9 11 10 8 9 13
Very unsafe 79 85 76 75 74 82 73 85 85 77 77 83 79 80 81 78 78 83 74TOTAL UNSAFE 89 91 88 91 87 91 86 92 93 88 88 91 89 89 92 88 86 92 87
Don't know 6 4 7 6 6 4 7 5 3 8 5 4 5 6 5 5 8 4 6Prefer not to say 2 2 1 1 2 2 2 1 3 1 2 2 2 2 0 2 1 3 4
Racially motivated assaultVery safe 2 2 2 3 2 3 4 1 4 3 2 2 2 3 4 3 1 2 3
Somewhat safe 18 21 18 23 19 19 22 15 17 19 23 12 19 16 17 18 17 18 22TOTAL SAFE 20 23 20 26 21 22 26 16 21 22 25 14 21 19 21 21 18 20 25
Somewhat unsafe 38 40 43 46 43 39 36 41 35 37 41 39 40 36 33 41 40 39 31Very unsafe 28 26 25 21 23 26 24 31 34 27 21 35 28 27 36 26 26 29 25
TOTAL UNSAFE 66 66 68 67 66 65 60 72 69 64 62 74 68 63 69 67 66 68 56Don't know 10 7 10 7 11 9 11 10 6 12 10 9 8 14 9 9 14 9 14
Prefer not to say 3 2 2 1 2 3 4 2 4 2 3 3 2 4 2 3 2 3 5Shoplifting
Very safe 23 21 31 22 26 21 25 21 27 24 25 17 23 23 28 20 19 24 29Somewhat safe 45 48 38 49 45 46 42 48 40 43 48 48 45 46 41 45 48 46 39
TOTAL SAFE 68 69 69 71 71 67 67 69 67 67 73 65 68 69 69 65 67 70 68Somewhat unsafe 18 20 17 14 16 20 18 18 20 16 15 22 19 16 16 18 18 18 17
Very unsafe 4 3 2 5 2 4 4 4 2 5 2 4 3 5 4 4 4 4 4TOTAL UNSAFE 22 23 19 19 18 24 22 22 22 21 17 26 22 21 20 22 22 22 21
Don't know 8 6 8 8 8 7 8 7 5 10 7 6 8 8 7 9 9 6 7Prefer not to say 3 3 4 1 2 3 4 2 6 2 3 2 3 3 4 3 1 3 4
FraudVery safe 13 13 17 16 15 12 16 10 18 14 13 8 13 12 12 13 13 13 13
Somewhat safe 40 42 37 46 42 39 38 41 32 40 44 39 42 37 39 39 38 42 42TOTAL SAFE 53 55 54 62 57 51 54 51 50 54 57 47 55 49 51 52 51 55 55
Somewhat unsafe 27 29 28 22 28 28 23 30 22 25 26 33 27 27 26 28 29 26 17Very unsafe 9 8 7 6 4 10 11 8 21 8 6 9 8 12 16 8 8 8 13
TOTAL UNSAFE 36 37 35 28 32 38 34 38 43 33 32 42 35 39 42 36 37 34 30Don't know 9 7 9 9 9 9 10 9 5 11 9 8 8 10 8 10 10 8 10
Prefer not to say 2 2 1 1 2 2 2 2 3 1 2 2 2 2 0 2 1 3 4
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