GB Voting Intention (Week 13 2023)

In a new poll commissioned by GB News, we find an 18pt lead to Labour. The full tables are available here.

Selected media coverage

If there were to be a general election tomorrow, which party would you vote for?

Vote share (%)
Latest
Mar 29
Previous
Mar 22
Labour 42 43
Conservative 24 22
Lib Dem 9 10
Reform UK 8 9
Green 7 8
SNP 5 4
Other party 5 3
Plaid Cymru 1 2
Population sampled: All adults (18+) in Great Britain.
Sample sizes: 1209 (latest) and 1175 (previous).

Thinking about Harry and Meghan, if you had to choose, would you prefer for them to move back to the UK or stay in the United States?

Unweighted Weighted Stay in the United States Move back to the UK Prefer not to say Don’t know Total
Overall
National 1209 1209 48% 8% 11% 33% 100%
Gender
Female 635 637 44% 8% 10% 37% 100%
Male 574 572 52% 9% 11% 29% 100%
Age
18-24 94 128 31% 10% 16% 43% 100%
25-49 556 498 35% 8% 14% 43% 100%
50-64 292 297 62% 7% 10% 22% 100%
65+ 267 286 62% 10% 3% 24% 100%
SEG
AB 289 297 41% 8% 9% 42% 100%
C1 378 373 53% 6% 10% 31% 100%
C2 251 253 48% 10% 11% 30% 100%
DE 291 286 47% 11% 12% 30% 100%
Region
London 140 170 51% 10% 8% 31% 100%
Midlands/Wales 369 325 48% 10% 11% 31% 100%
North 305 329 50% 7% 12% 31% 100%
Rest of South 289 281 44% 7% 11% 38% 100%
Scotland 106 104 41% 8% 8% 42% 100%
2019 General Election
Conservative Party 354 350 68% 8% 6% 18% 100%
Labour Party 265 265 37% 10% 10% 44% 100%
Liberal Democrats 91 92 43% 7% 7% 42% 100%
2016 Brexit referendum
Leave 450 449 64% 9% 6% 21% 100%
Remain 436 440 40% 8% 9% 43% 100%

Should MPs continue to be allowed to have second jobs or be banned from having second jobs?

Unweighted Weighted MP’s should be banned from having second jobs MP’s should continue to be allowed to have second jobs Prefer not to say Don’t know Total
Overall
National 1209 1209 60% 12% 8% 20% 100%
Gender
Female 635 637 54% 11% 8% 27% 100%
Male 574 572 67% 14% 8% 12% 100%
Age
18-24 94 128 43% 16% 15% 26% 100%
25-49 556 498 52% 12% 10% 26% 100%
50-64 292 297 67% 11% 5% 17% 100%
65+ 267 286 73% 13% 4% 10% 100%
SEG
AB 289 297 55% 16% 7% 22% 100%
C1 378 373 65% 12% 6% 17% 100%
C2 251 253 59% 12% 11% 19% 100%
DE 291 286 59% 10% 9% 23% 100%
Region
London 140 170 64% 17% 9% 10% 100%
Midlands/Wales 369 325 58% 13% 9% 20% 100%
North 305 329 57% 10% 8% 25% 100%
Rest of South 289 281 63% 12% 7% 18% 100%
Scotland 106 104 61% 9% 5% 24% 100%
2019 General Election
Conservative Party 354 350 61% 18% 5% 16% 100%
Labour Party 265 265 70% 10% 5% 15% 100%
Liberal Democrats 91 92 70% 14% 4% 11% 100%
2016 Brexit referendum
Leave 450 449 67% 12% 5% 16% 100%
Remain 436 440 63% 13% 6% 18% 100%

Which of the following would be best to address crime and anti-social behaviour in the years ahead?

Unweighted Weighted A Conservative government with Rishi Sunak as Prime Minister A Labour government with Keir Starmer as Prime Minister Prefer not to say Don’t know Total
Overall
National 1209 1209 16% 28% 11% 45% 100%
Gender
Female 635 637 11% 26% 12% 51% 100%
Male 574 572 21% 31% 10% 39% 100%
Age
18-24 94 128 10% 38% 19% 33% 100%
25-49 556 498 8% 34% 12% 47% 100%
50-64 292 297 18% 26% 9% 47% 100%
65+ 267 286 30% 17% 8% 46% 100%
SEG
AB 289 297 17% 32% 11% 40% 100%
C1 378 373 15% 31% 8% 46% 100%
C2 251 253 15% 22% 13% 50% 100%
DE 291 286 16% 27% 12% 46% 100%
Region
London 140 170 24% 31% 14% 32% 100%
Midlands/Wales 369 325 17% 23% 11% 49% 100%
North 305 329 12% 31% 12% 46% 100%
Rest of South 289 281 15% 28% 8% 49% 100%
Scotland 106 104 13% 34% 10% 43% 100%
2019 General Election
Conservative Party 354 350 41% 7% 9% 43% 100%
Labour Party 265 265 2% 64% 6% 28% 100%
Liberal Democrats 91 92 11% 46% 5% 38% 100%
2016 Brexit referendum
Leave 450 449 29% 15% 8% 49% 100%
Remain 436 440 9% 46% 9% 36% 100%

Do you think on-the-spot fines for crimes such as spraying graffiti (£150) are too harsh or not harsh enough?

Unweighted Weighted Too harsh About right Not harsh enough Don’t know Prefer not to say Total
Overall
National 1209 1209 8% 32% 37% 15% 8% 100%
Gender
Female 635 637 8% 35% 30% 19% 8% 100%
Male 574 572 8% 29% 46% 10% 8% 100%
Age
18-24 94 128 15% 30% 20% 20% 15% 100%
25-49 556 498 11% 32% 30% 18% 9% 100%
50-64 292 297 3% 37% 40% 13% 6% 100%
65+ 267 286 5% 28% 55% 9% 3% 100%
SEG
AB 289 297 8% 34% 34% 17% 7% 100%
C1 378 373 8% 38% 33% 14% 7% 100%
C2 251 253 6% 28% 42% 16% 8% 100%
DE 291 286 9% 26% 43% 13% 9% 100%
Region
London 140 170 9% 33% 42% 8% 9% 100%
Midlands/Wales 369 325 6% 33% 36% 16% 8% 100%
North 305 329 9% 31% 34% 18% 8% 100%
Rest of South 289 281 7% 32% 40% 14% 7% 100%
Scotland 106 104 13% 31% 40% 12% 4% 100%
2019 General Election
Conservative Party 354 350 3% 31% 55% 6% 5% 100%
Labour Party 265 265 15% 39% 24% 17% 5% 100%
Liberal Democrats 91 92 6% 40% 32% 16% 6% 100%
2016 Brexit referendum
Leave 450 449 4% 29% 54% 9% 4% 100%
Remain 436 440 10% 37% 28% 18% 7% 100%

Details

  • Client: GB News
  • Fieldwork Period: March 29, 2023
  • Sampling Method: Online
  • Population Sampled: All adults (18+) in Great Britain
  • Sample Size: 1,209
  • Data Collection: The data is acquired from a panel provider offering participants the chance to win money. The sampling relies on an online quota approach. Specifically, participants are sampled to meet Office of National Statistics quotas for gender, age, region, socio-economic group, vote in the 2019 general election, and vote in the 2016 Brexit referendum. No criteria are used to over- or undersample respondents. To ensure the polling is representative of the target population, we use official and reliable data sources to match the sample to demographic population targets.
  • Weighting: The sample has been weighted to be representative of the population on the following variables: gender, age, socio-economic group, region, vote in the 2019 General Elections and 2016 Brexit referendum vote.
  • Turnout Weighting for Voting Intention: To gauge the likelihood of a respondent voting in the General Elections, the poll used an 11-point scale to measure the certainty that the respondent would vote if there was an election tomorrow. The voting intention answers are then weighted by the likelihood to vote (by the numerical answer to the question divided by 10, e.g., a respondent providing a likelihood to vote of 8 out of 10 will have a weight of 0.8).
  • Margin of Error: All polls are subject to a wide range of potential sources of error. On the basis of the historical record of the polls at recent general elections, there is a 9 in 10 chance that the true value of a party’s support lies within 4 points of the estimates provided by this poll, and a 2 in 3 chance that they lie within 2 points.

GB Voting Intention (Week 12 2023)

In a new poll commissioned by GB News, we find a 21pt lead to Labour. The full tables are available here.

If there were to be a general election tomorrow, which party would you vote for?

Vote share (%)
Latest
Mar 22
Previous
Mar 17
Labour 43 45
Conservative 22 20
Lib Dem 10 9
Reform UK 9 6
Green 8 13
SNP 4 5
Other party 3 2
Plaid Cymru 2 1
Population sampled: All adults (18+) in Great Britain.
Sample sizes: 1175 (latest) and 1289 (previous).

Do you believe the Privileges Committee investigation into Boris Johnson over alleged breaches of lockdown rules in Downing Street is fair or unfair?

Unweighted Weighted The investigation is fair The investigation is unfair Prefer not to say Don’t know Total
Overall
National 1175 1175 48% 11% 11% 29% 100%
Gender
Female 614 603 43% 9% 13% 34% 100%
Male 561 572 52% 14% 9% 24% 100%
Age
18-24 105 124 41% 10% 26% 23% 100%
25-49 506 484 43% 7% 13% 37% 100%
50-64 301 288 54% 11% 6% 28% 100%
65+ 263 278 51% 21% 7% 21% 100%
SEG
AB 278 286 56% 12% 10% 21% 100%
C1 351 348 53% 9% 8% 29% 100%
C2 248 249 39% 14% 13% 34% 100%
DE 298 292 39% 11% 16% 34% 100%
Region
London 136 166 50% 9% 10% 30% 100%
Midlands/Wales 366 316 47% 12% 13% 28% 100%
North 294 320 45% 12% 13% 31% 100%
Rest of South 281 273 50% 13% 10% 28% 100%
Scotland 98 101 48% 7% 10% 35% 100%
2019 General Election
Conservative Party 338 333 38% 27% 8% 26% 100%
Labour Party 274 267 70% 4% 4% 23% 100%
Liberal Democrats 86 86 73% 3% 6% 18% 100%
2016 Brexit referendum
Leave 442 437 40% 22% 8% 30% 100%
Remain 412 416 66% 4% 7% 23% 100%

Considering everything the Conservative and Labour Parties stand for, would you say that:

Unweighted Weighted There is a great difference between them There is some difference There is not much difference between them Prefer not to say Don’t know Total
Overall
National 1175 1175 27% 25% 23% 10% 15% 100%
Gender
Female 614 603 25% 24% 19% 13% 18% 100%
Male 561 572 29% 26% 26% 7% 11% 100%
Age
18-24 105 124 27% 19% 14% 23% 17% 100%
25-49 506 484 23% 26% 17% 13% 20% 100%
50-64 301 288 25% 28% 29% 5% 12% 100%
65+ 263 278 36% 23% 30% 5% 5% 100%
SEG
AB 278 286 35% 32% 17% 8% 8% 100%
C1 351 348 28% 30% 22% 9% 12% 100%
C2 248 249 24% 19% 26% 11% 20% 100%
DE 298 292 21% 19% 26% 14% 19% 100%
Region
London 136 166 28% 28% 19% 8% 17% 100%
Midlands/Wales 366 316 28% 26% 23% 10% 13% 100%
North 294 320 30% 22% 21% 13% 14% 100%
Rest of South 281 273 25% 27% 25% 9% 14% 100%
Scotland 98 101 20% 21% 27% 12% 20% 100%
2019 General Election
Conservative Party 338 333 30% 24% 30% 6% 9% 100%
Labour Party 274 267 42% 35% 10% 6% 6% 100%
Liberal Democrats 86 86 31% 41% 17% 4% 7% 100%
2016 Brexit referendum
Leave 442 437 28% 23% 32% 6% 10% 100%
Remain 412 416 34% 34% 16% 7% 8% 100%

Which of the following do you think would make the best prime minister?

Unweighted Weighted Rishi Sunak Keir Starmer None of the above Prefer not to say Don’t know Total
Overall
National 1175 1175 16% 22% 36% 10% 15% 100%
Gender
Female 614 603 12% 20% 37% 13% 18% 100%
Male 561 572 20% 24% 35% 8% 13% 100%
Age
18-24 105 124 6% 23% 31% 23% 17% 100%
25-49 506 484 8% 27% 34% 12% 19% 100%
50-64 301 288 21% 17% 40% 7% 15% 100%
65+ 263 278 29% 18% 37% 5% 10% 100%
SEG
AB 278 286 20% 27% 32% 11% 10% 100%
C1 351 348 14% 24% 38% 7% 17% 100%
C2 248 249 17% 15% 40% 11% 17% 100%
DE 298 292 15% 20% 34% 14% 18% 100%
Region
London 136 166 20% 31% 28% 9% 12% 100%
Midlands/Wales 366 316 14% 24% 35% 11% 16% 100%
North 294 320 16% 20% 38% 12% 15% 100%
Rest of South 281 273 18% 19% 36% 10% 17% 100%
Scotland 98 101 12% 15% 47% 9% 17% 100%
2019 General Election
Conservative Party 338 333 39% 6% 39% 6% 10% 100%
Labour Party 274 267 1% 55% 26% 6% 13% 100%
Liberal Democrats 86 86 13% 42% 27% 5% 13% 100%
2016 Brexit referendum
Leave 442 437 27% 11% 43% 6% 13% 100%
Remain 412 416 11% 39% 31% 7% 11% 100%

Do you have a positive or negative view of the London Metropolitan Police?

Unweighted Weighted Very positive Fairly positive Neutral Fairly negative Very negative Don’t know Prefer not to say Total
Overall
National 1175 1175 2% 8% 24% 23% 22% 12% 9% 100%
Gender
Female 614 603 1% 7% 21% 24% 20% 14% 13% 100%
Male 561 572 2% 8% 27% 22% 24% 11% 6% 100%
Age
18-24 105 124 1% 8% 19% 21% 22% 9% 20% 100%
25-49 506 484 1% 6% 21% 21% 22% 17% 12% 100%
50-64 301 288 2% 9% 28% 22% 22% 11% 5% 100%
65+ 263 278 2% 8% 27% 28% 24% 8% 4% 100%
SEG
AB 278 286 1% 9% 26% 24% 23% 10% 7% 100%
C1 351 348 1% 10% 21% 28% 24% 8% 8% 100%
C2 248 249 3% 6% 26% 20% 18% 15% 12% 100%
DE 298 292 1% 5% 25% 19% 22% 17% 11% 100%
Region
London 136 166 2% 13% 24% 21% 25% 6% 9% 100%
Midlands/Wales 366 316 1% 7% 22% 25% 23% 12% 9% 100%
North 294 320 1% 6% 26% 17% 24% 17% 11% 100%
Rest of South 281 273 1% 9% 25% 28% 18% 11% 8% 100%
Scotland 98 101 5% 5% 23% 24% 19% 15% 8% 100%
2019 General Election
Conservative Party 338 333 3% 12% 23% 25% 22% 10% 5% 100%
Labour Party 274 267 0% 6% 25% 27% 27% 10% 5% 100%
Liberal Democrats 86 86 12% 22% 39% 19% 4% 4% 100%
2016 Brexit referendum
Leave 442 437 2% 10% 28% 22% 22% 10% 5% 100%
Remain 412 416 1% 7% 22% 28% 26% 10% 6% 100%

Details

  • Client: GB News
  • Fieldwork Period: March 22, 2023
  • Sampling Method: Online
  • Population Sampled: All adults (18+) in Great Britain
  • Sample Size: 1,175
  • Data Collection: The data is acquired from a panel provider offering participants the chance to win money. The sampling relies on an online quota approach. Specifically, participants are sampled to meet Office of National Statistics quotas for gender, age, region, socio-economic group, vote in the 2019 general election, and vote in the 2016 Brexit referendum. No criteria are used to over- or undersample respondents. To ensure the polling is representative of the target population, we use official and reliable data sources to match the sample to demographic population targets.
  • Weighting: The sample has been weighted to be representative of the population on the following variables: gender, age, socio-economic group, region, vote in the 2019 General Elections and 2016 Brexit referendum vote.
  • Turnout Weighting for Voting Intention: To gauge the likelihood of a respondent voting in the General Elections, the poll used an 11-point scale to measure the certainty that the respondent would vote if there was an election tomorrow. The voting intention answers are then weighted by the likelihood to vote (by the numerical answer to the question divided by 10, e.g., a respondent providing a likelihood to vote of 8 out of 10 will have a weight of 0.8).
  • Margin of Error: All polls are subject to a wide range of potential sources of error. On the basis of the historical record of the polls at recent general elections, there is a 9 in 10 chance that the true value of a party’s support lies within 4 points of the estimates provided by this poll, and a 2 in 3 chance that they lie within 2 points.

The Representation of Views Poll

In a new poll for NCSU, we asked the public a series of questions related to the representation of different political views. The full tables are available here.

Details

  • Client: NSCU
  • Fieldwork Period: February 21-27, 2023
  • Sampling Method: Online
  • Population Sampled: All adults (18+) in Great Britain
  • Sample Size: 2,782
  • Data Collection: The data is acquired from a panel provider offering participants the chance to win money. The sampling relies on an online quota approach. Specifically, participants are sampled to meet Office of National Statistics quotas for gender, age, region, socio-economic group, vote in the 2019 general election, and vote in the 2016 Brexit referendum. No criteria are used to over- or undersample respondents. To ensure the polling is representative of the target population, we use official and reliable data sources to match the sample to demographic population targets.
  • Weighting: The sample has been weighted to be representative of the population on the following variables: gender, age, socio-economic group, region, vote in the 2019 General Elections and 2016 Brexit referendum vote.

Museums and Artefacts Poll

In a new poll for Policy Exchange, we asked the public a series of questions related to museums and artefacts. The full tables are available here.

Selected media coverage

Museums often lend artefacts (such as archaeological objects) to be exhibited in other countries. What do you think should be the maximum length of time for which an artefact is loaned to another country?

Unweighted Weighted 3 months 6 months 1 year 2 years 3 years No maximum length Prefer not to say Don’t know Total
Overall
National 1101 1101 4% 6% 20% 7% 4% 20% 5% 35% 100%
Gender
Female 561 548 4% 7% 18% 8% 3% 15% 7% 39% 100%
Male 540 553 4% 5% 22% 7% 4% 24% 3% 31% 100%
Age
18-24 114 117 8% 5% 14% 5% 4% 21% 11% 31% 100%
25-49 478 454 3% 5% 14% 7% 4% 21% 7% 41% 100%
50-64 274 270 4% 4% 25% 9% 5% 18% 3% 32% 100%
65+ 235 260 3% 10% 27% 8% 2% 19% 2% 29% 100%
SEG
AB 250 258 3% 5% 20% 10% 4% 22% 5% 30%