How Britain voted in the 2016 EU referendum

As we have for every general election since 1979, Ipsos has produced estimates of how the voters voted in the recent EU referendum.

The author(s)
  • Gideon Skinner UK Head of Political Research
  • Glenn Gottfried Public Affairs, Ipsos North
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As we have for every general election since 1979, Ipsos has produced estimates of how the voters voted in the recent EU referendum. It is always important to stress that these are only estimates, based on aggregating the data from our election polls and other surveys over the course of the campaign, which asked people how they intended to vote, and then weighting these figures to the final actual results and turnout at a regional level. Nevertheless, in the absence of any exit poll with demographic data or other official source, these should provide a useful guide for how different subgroups voted1.

Here are five key findings from the results:

  1. The referendum vote revealed huge differences in voting intentions by age, class, education level and ethnicity – if anything, more apparent than that seen in the general election. Younger, more middle class, more educated and BME voters chose to remain; older, working class, less educated and white voters opted to leave.
  2. Age and class both have an effect on people’s views. A majority of 18-34 year olds in every social class voted to remain, while a majority of those aged 55+ in every class voted to leave. But within each age group the middle-classes were more likely to vote to remain, and the working classes more likely to vote to leave, and within each class younger people were more likely to vote remain, and older people more likely to vote to leave. The crossover point was among the middle-aged: middle-class 35-54 year olds voted to stay, working class 35-54 year olds voted to leave.
  3. A very small majority of women voted to remain, while men voted to leave. The biggest gender differences were among the AB social class and among those aged 35-54, among both of whom women were eleven points more likely to vote to remain than men.
  4. People in work (full or part time, public sector or private sector), students, mortgage holders and private renters voted to remain. Those who own their home outright, social renters, the retired and those looking after homes all voted to leave.
  5. There were clear differences along party lines, but a majority of those who did not vote in the last general election choose to leave. 2015 Conservative voters voted to leave by roughly the same margin as 2015 Labour and Liberal Democrat voters voted to remain; 99% of UKIP’s 2015 support voted to leave. Among those who did not vote in 2015 (but who were not too young to do so), there was a 16-point lead for leave.
  Voting  Voting
  Remain
%
 Leave
%
  Remain
%
Leave
%
All (GB) 4852All (GB) 4852
Gender  18-34s by Class   
Male4555AB7129
Female5149C17129
Age   C25446
18-247525DE5644
25-34604035-54s by Class   
35-445545AB6139
45-544456C15347
55-643961C23565
65-743466DE3664
75+376355+ by Class  
Men by Age   AB4852
18-346436C13763
35-544456C23268
55+3565DE3070
Women by Age   Ethnic Group   
18-346733White4654
35-545545All BME6931
55+3961Work Status  
Social Class  Full-time5347
AB5941Part-time5347
C15248Unemployed4060
C23862Not working - looking after home3664
DE3664Student8020
Men by Class     Retired3664
AB5446Other3961
C15149Housing Tenure     
C23565Owned4258
DE3664Mortgage5446
Women by Class     Social renter3763
AB6535Private renter5644
C15446Work Sector  
C24159Public sector5644
DE3763Private sector5248
Educational Level  GE 2015 Vote  
No qualifications3070Con4159
Other qualifications4456Lab6436
Degree or higher6832Lib Dem6931
   UKIP199
   Did not vote (but not too young)4258

Note 1: Our final voting forecast overstated the remain vote. This was because in making the forecast we had to make assumptions about likely turnout patterns, without much evidence from similar referendums to guide us, and in fact turnout was higher than we anticipated. If we simply assume that those who said they were certain to vote did in fact do so, our data matches the final result very closely even without further fine-tuning, which encourages us that the changes we have made since the 2015 election have made our underlying samples significantly more representative.

Turnout

Estimating turnout is especially difficult when relying on survey data. The main error in our 2015 General Election polls was to underestimate the proportion of non-voters (and in return over-estimate Labour voters), and although we have introduced a number of changes since then to address this issue, it may still be the case that politically-engaged people are more likely to take part in polls than those who are not engaged, although we hope, less so than before. Respondents may overestimate their likelihood of voting in an election (and they may also incorrectly believe they are registered). Turnout patterns may also be very different in a referendum than in a general election – indeed, had we used our old turnout filter in the EU referendum instead of the one we had developed to replace it (precisely because the old turnout filter did not work in the last general election), we would have got the referendum result almost exactly right. This means that estimates of turnout in particular need to be treated with some caution. Even so, we believe the estimates below do shed light on which groups of the population were more or less likely to vote in the referendum.

Two different figures for turnout have been calculated below. The first is based on all resident adults, and the second is based on all those registered to vote. The proportion of resident adults is what we measure directly – our sample is designed to be representative of resident adults, and all quota and weighting variables are based on this (electoral registers have not been used as a sampling frame for many years). The second figure is the one that is usually quoted as the basis for turnout, but although of course some of the resident adults who did not vote were not eligible to do so (in most cases because of their nationality), there is merit in considering both. Firstly, there are issues with the official turnout figure since an unknown but not insignificant number of names on the register are either duplicates or redundant, for example because they are out-of-date or the person in question has died, so the number who legally could vote is somewhat smaller than the figure for the electorate which is normally quoted. But secondly, simply looking at turnout based on those registered obscures other important issues – for example, if many young people do not register to vote in the first place, only looking at turnout among those who have registered ignores part of the problem. (And thirdly, there may be extra measurement errors involved in respondents’ answers to the registration question, as noted above.)

Finally, one extra set of turnout figures are shown. Because of the potential danger of over-claim, we have adjusted the claimed turnout figure for different age groups based on the British Election Study voter validation exercise, which compares whether people said they voted after the election against marked-up registers to provide an indication of how many people said they voted against those who actually did. This showed that younger voters were more likely to over-claim they had voted than older voters. As might be expected, this reduces the estimated levels of turnout among younger people in our figures. This is not a perfect model – the BES study was carried out after the election so is based on recalled vote rather than predicted likelihood to vote, and in a general election scenario rather in a referendum, when voting patterns may well have been different – but nevertheless it does show that making allowances for different levels of over-claim can make a difference to these estimates2.

 Turnout Adjusted by BES
age over-claim
 Turnout
 Among total pop'n
%
Among all registered
%
 Among total pop'n
%
Among all registered
%
All (GB) 6672All (GB)6672
Gender   Gender   
Male6774Male6774
Female6471Female6471
Age  Age   
18-24536418-244860
25-34546825-345266
35-44647135-446471
45-54697345-547073
55-64767855-647779
65-74788065-748182
75+667075+7073
Men by Age  Men by Age   
18-34546618-345464
35-54697435-546974
55+767955+7880
Women by Age  Women by Age   
18-34536718+345064
35-54657035-546570
55+727655+7476
Social Class  Social Class   
AB7479AB7479
C16875C16875
C26270C26270
DE5765DE5864
Men by Class  Men by Class   
AB7881AB7781
C16975C16875
C26170C26170
DE5867DE5967
Women by Class     Women by Class   
AB7076AB7076
C16874C16874
C26369C26370
DE5663DE5764
18-34s by Class  18-34s by Class   
AB6373AB6171
C15869C15567
C24661C24358
DE4157DE3854
Housing Tenure   Housing Tenure   
Owned7578Owned7679
Mortgage7075Mortgage7075
Social renter5461Social renter5461
Private renter5365Private renter5265
Ethnic Group  Ethnic Group   
White6874White6874
All BME4758All BME4657
GE2015 Vote  GE 2015 Vote   
Con8285Con8385
Lab7377Lab7377
Lib Dem8081Lib Dem8081
UKIP8688UKIP8689
Did not vote (but not too young)3045Did not vote (but not too young)3045
Educational Level  Educational Level   
No qualifications6470No qualifications6671
Other qualifications6471Other qualifications6471
Degree or higher7178Degree or higher7078

Note 2: The adjustment makes minimal difference to the voting projections – at most one percentage point and usually less.

Technical note
Base: 7,816 GB adults aged 18+ (of whom 5,955 were classed as voters, as defined below), interviewed by telephone during the campaign. All those who were ‘absolutely certain to vote’ or who said they had already voted, and said they were registered, were classed as voters. The proportions of remain voters, leave voters and non-voters was then weighted to the actual referendum results by region according to Electoral Commission figures (given below). The data were also weighted to the population profile of Great Britain.

Regional voting figures (source: Electoral Commission/ONS/House of Commons library)

  Voting Turnout
  Remain
%
 Leave
%
 Among total
population
%
Among all
registered
%
All (GB)48526672
Region     
East44567076
East Midlands41596874
London60405670
North East42586469
North West46546570
Scotland62386267
South East48527177
South West47537277
Wales47536672
West Midlands41596672
Yorkshire &
Humberside
42586571
The author(s)
  • Gideon Skinner UK Head of Political Research
  • Glenn Gottfried Public Affairs, Ipsos North

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