Category: Poll

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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.
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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.
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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% 100%
C1 342 339 4% 7% 22% 7% 4% 23% 2% 32% 100%
C2 233 233 2% 3% 20% 7% 5% 17% 6% 39% 100%
DE 276 271 4% 8% 18% 7% 3% 15% 7% 39% 100%
Region
London 132 159 4% 6% 17% 7% 4% 26% 4% 31% 100%
Midlands/Wales 339 303 4% 5% 20% 9% 5% 17% 4% 36% 100%
North 271 279 3% 5% 20% 7% 3% 19% 6% 37% 100%
Rest of South 263 263 5% 9% 21% 6% 3% 20% 6% 30% 100%
Scotland 96 97 – 4% 22% 7% 1% 17% 5% 44% 100%
2019 General Election
Conservative Party 326 338 3% 7% 25% 8% 3% 20% 4% 30% 100%
Labour Party 238 239 2% 6% 19% 6% 4% 26% 3% 33% 100%
Liberal Democrats 87 90 2% 7% 20% 9% 6% 23% 2% 30% 100%
2016 Brexit referendum
Leave 413 417 4% 7% 23% 7% 3% 19% 4% 33% 100%
Remain 385 397 4% 4% 21% 8% 4% 24% 2% 32% 100%

Which of the following factors do you think are most important when deciding where artefacts of historic importance should be displayed? [Choose up to three]

Unweighted Weighted They should be freely open to the public. They should be in the location that will allow the greatest number of people to see them. They should be in the institution best able to display them in an educational way. They should be in the institution most likely to preserve them for the long term. They should remain where they are currently, and have been for a long time. They should be in an institution belonging to the ethnic or national grouping which originally created them. They should be in the institution which first excavated or legally purchased them. None of the above Prefer not to say
Overall
National 1101 1101 33% 22% 22% 26% 6% 21% 8% 8% 21%
Gender
Female 561 548 24% 19% 21% 25% 6% 22% 7% 9% 25%
Male 540 553 42% 26% 23% 27% 5% 20% 9% 8% 17%
Age
18-24 114 117 25% 16% 21% 30% 11% 31% 13% 11% 18%
25-49 478 454 28% 15% 21% 25% 5% 22% 6% 11% 26%
50-64 274 270 38% 26% 19% 29% 5% 18% 11% 7% 18%
65+ 235 260 40% 34% 27% 25% 5% 18% 8% 3% 16%
SEG
AB 250 258 39% 26% 23% 28% 6% 28% 9% 4% 22%
C1 342 339 35% 24% 25% 25% 5% 25% 8% 9% 17%
C2 233 233 31% 20% 20% 28% 6% 15% 8% 9% 24%
DE 276 271 27% 20% 18% 24% 5% 16% 8% 11% 22%
Region
London 132 159 33% 28% 25% 32% 6% 28% 10% 3% 20%
Midlands/Wales 339 303 35% 20% 24% 27% 7% 19% 7% 9% 20%
North 271 279 34% 23% 19% 21% 4% 19% 7% 12% 21%
Rest of South 263 263 32% 24% 22% 27% 5% 19% 8% 8% 21%
Scotland 96 97 29% 16% 19% 25% 5% 31% 13% 8% 23%
2019 General Election
Conservative Party 326 338 36% 31% 23% 31% 7% 12% 11% 5% 18%
Labour Party 238 239 37% 22% 24% 27% 5% 32% 8% 7% 17%
Liberal Democrats 87 90 46% 33% 26% 31% 2% 33% 9% 3% 16%
2016 Brexit referendum
Leave 413 417 35% 28% 23% 30% 7% 12% 10% 8% 19%
Remain 385 397 40% 23% 24% 27% 4% 33% 8% 5% 17%

Please indicate if you agree or disagree with the following statement: “Important artefacts which are held in a major museum outside their country of origin should be given up by that museum and sent permanently to a museum in their country of origin.”

Unweighted Weighted Strongly agree Somewhat agree Somewhat disagree Strongly disagree Prefer not to say Don’t know Total
Overall
National 1101 1101 14% 25% 14% 9% 13% 27% 100%
Gender
Female 561 548 13% 24% 11% 6% 15% 30% 100%
Male 540 553 15% 25% 16% 11% 10% 23% 100%
Age
18-24 114 117 17% 25% 11% 9% 18% 19% 100%
25-49 478 454 11% 25% 10% 6% 17% 30% 100%
50-64 274 270 16% 24% 13% 10% 8% 28% 100%
65+ 235 260 16% 24% 21% 10% 7% 22% 100%
SEG
AB 250 258 14% 27% 18% 8% 13% 20% 100%
C1 342 339 13% 27% 14% 10% 9% 28% 100%
C2 233 233 14% 23% 11% 7% 13% 31% 100%
DE 276 271 16% 21% 11% 9% 16% 27% 100%
Region
London 132 159 13% 32% 15% 8% 10% 22% 100%
Midlands/Wales 339 303 15% 25% 14% 8% 12% 27% 100%
North 271 279 15% 20% 13% 9% 13% 30% 100%
Rest of South 263 263 10% 26% 14% 10% 15% 26% 100%
Scotland 96 97 25% 23% 12% 6% 10% 23% 100%
2019 General Election
Conservative Party 326 338 10% 24% 20% 15% 8% 24% 100%
Labour Party 238 239 18% 31% 13% 4% 10% 24% 100%
Liberal Democrats 87 90 13% 31% 14% 8% 11% 22% 100%
2016 Brexit referendum
Leave 413 417 9% 25% 16% 13% 10% 27% 100%
Remain 385 397 19% 28% 14% 6% 9% 23% 100%

Please indicate if you agree or disagree with the following statement: “The British Museum should loan items to a country even if that country does not accept that the British Museum owns the item in question.”

Unweighted Weighted Strongly agree Somewhat agree Somewhat disagree Strongly disagree Prefer not to say Don’t know Total
Overall
National 1101 1101 7% 15% 15% 19% 11% 33% 100%
Gender
Female 561 548 7% 13% 16% 15% 13% 37% 100%
Male 540 553 7% 16% 15% 23% 9% 29% 100%
Age
18-24 114 117 14% 12% 16% 15% 15% 28% 100%
25-49 478 454 7% 14% 10% 15% 14% 39% 100%
50-64 274 270 5% 15% 19% 23% 8% 30% 100%
65+ 235 260 6% 15% 20% 24% 8% 27% 100%
SEG
AB 250 258 10% 18% 15% 15% 12% 30% 100%
C1 342 339 8% 16% 15% 19% 8% 34% 100%
C2 233 233 4% 13% 17% 21% 12% 33% 100%
DE 276 271 6% 10% 14% 21% 15% 33% 100%
Region
London 132 159 10% 19% 18%