- The majority (91%) of students have said they had already been vaccinated against coronavirus (COVID-19) at least once.
- A significantly higher proportion of students reported having had two vaccine doses in late October (85%) than reported in late September (78%).
- A minority (8%) of students said they had not been vaccinated against COVID-19; of those, half (51%) said they were fairly or very unlikely to take a vaccine if offered, and a third (32%) said they were fairly or very likely to accept the vaccine if offered.
- Around half (49%) of students had taken a COVID-19 test in the previous seven days.
- If they developed symptoms, 92% of students reported they would request a test.
- Students who had received at least one dose of a COVID-19 vaccine were significantly more likely to request a test if they developed symptoms (95%), than students who had not been vaccinated (73%).
- When asked what they would do if they developed symptoms, 57% of students reported they would stay at home for 10 days; this is similar to late September (58%).
- The average life satisfaction score for students was 6.6, which was significantly lower than those aged 16 to 29 years in general (7.0) and the adult population in Great Britain (7.1).
- Students were significantly more likely to report their mental health and well-being had worsened (32%) compared with late September (26%); however, this is still significantly lower than in late May (50%).
The Office for National Statistics (ONS) is conducting a survey analysing student behaviour during the coronavirus (COVID-19) pandemic. This survey is called the Student COVID-19 Insights Survey (SCIS). University students included are those that are studying on foundation to postgraduate level programmes at universities in England.
The SCIS paused after the release on 17 June 2021 due to the end of the 2020/21 academic year. This is the second wave conducted for the 2021/22 academic year. Please note that the population of students sampled is therefore different from previous waves of this survey and comparisons made between this and previous waves should take this into consideration.
The survey was conducted between 22 October and 1 November 2021 using an online survey tool and all answers were self-reported. A total of 100,000 students in English universities were invited to take part via their email addresses held by the National Union of Students (NUS). An email was sent from the NUS, with a response rate of 1.0%. This survey was conducted early in the 2021/22 academic year and this may have affected the response rate. We would like to thank and acknowledge the important role the NUS had in conducting this survey.
At the time the survey was conducted, there were no restrictions to teaching and learning in higher education providers as a result of COVID-19. More information can be found in the Higher education COVID-19 operational guidance.
Estimates in this report are based on weighted counts that are representative of the population of students studying at universities in England. Population totals are taken from the Higher Education Statistics Agency (HESA) 2019/20 estimates. Estimates are weighted for sex, age and region of university provider.
Uncertainty in the data
The experimental statistics presented in this bulletin contain uncertainty. As with all survey data based on a sample, there is an element of uncertainty as they are susceptible to respondent error and bias.
Adult population in Great Britain
Where possible, comparisons have been drawn with the Opinions and Lifestyle Survey (OPN) to compare the experiences and behaviours of students with the adult population in Great Britain. The comparisons are used to give a broad idea of the different experiences of each group but the statistics measure data from different timeframes, slightly different questions and different sampling methods so are not directly comparable. The period of the OPN used for comparison was 6 to 17 October 2021.
The statistical significance of differences has been determined by non-overlapping confidence intervals. A confidence interval gives an indication of the degree of uncertainty of an estimate, showing the precision of a sample estimate. The 95% confidence intervals are calculated so that if we repeated the study many times, 95% of the time the true unknown value would lie between the lower and upper confidence limits. A wider interval indicates more uncertainty in the estimate.Back to table of contents
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