TABLE 1.
Study 1, n = 302 | Study 2, n = 404 | Study 3, n = 399 | ||||
---|---|---|---|---|---|---|
n | % | n | % | n | % | |
Gender | ||||||
Female | 206 | 68% | 225 | 56% | 248 | 62% |
Male | 95 | 32% | 174 | 43% | 144 | 36% |
Other | 1 | 0% | 5 | 1% | 7 | 2% |
Ethnicity | ||||||
Asian British | 16 | 5% | 27 | 7% | 23 | 6% |
Asian/Other | 2 | 1% | 7 | 2% | 1 | 0% |
Black British | 9 | 3% | 21 | 5% | 11 | 3% |
Black/Other | 0 | 0% | 5 | 1% | 2 | 1% |
White British | 252 | 83% | 291 | 72% | 328 | 82% |
White/Other | 9 | 3% | 25 | 6% | 18 | 5% |
Other | 11 | 4% | 28 | 7% | 8 | 2% |
Age | ||||||
18–25 | 64 | 21% | 57 | 14% | 107 | 27% |
26–40 | 140 | 47% | 135 | 34% | 176 | 44% |
41–55 | 66 | 22% | 101 | 25% | 83 | 21% |
55+ | 31 | 10% | 108 | 27% | 33 | 8% |
Education | ||||||
Less than high school | 3 | 1% | 9 | 2% | 4 | 1% |
High school | 113 | 37% | 148 | 37% | 135 | 34% |
Bachelor's Degree | 128 | 42% | 160 | 40% | 172 | 43% |
Master's Degree or more | 42 | 14% | 68 | 17% | 69 | 17% |
Other | 15 | 5% | 17 | 4% | 19 | 5% |
Income | ||||||
Less than $10,000 | 78 | 26% | 92 | 23% | 115 | 29% |
$10,000–$30,000 | 127 | 43% | 166 | 41% | 146 | 37% |
$30,000–$60,000 | 68 | 23% | 89 | 22% | 80 | 21% |
Over $60,000 | 0 | 0% | 14 | 4% | 16 | 4% |
Not disclosed | 22 | 7% | 42 | 10% | 42 | 11% |
Political Preference | ||||||
Labour | 121 | 40% | 140 | 35% | 146 | 37% |
Conservative | 74 | 25% | 109 | 27% | 81 | 20% |
Liberal Democrat | 26 | 9% | 35 | 9% | 45 | 11% |
UK Independence Party | 4 | 1% | 6 | 2% | 3 | 1% |
Other political party | 22 | 7% | 42 | 10% | 56 | 14% |
No political preference | 41 | 14% | 49 | 12% | 45 | 11% |
Not disclosed | 14 | 5% | 22 | 5% | 23 | 6% |
Employment | ||||||
Unemployed | 87 | 29% | 130 | 32% | 131 | 33% |
Employed and working | 186 | 61% | 212 | 53% | 186 | 47% |
Employed but furloughed | 29 | 10% | 61 | 15% | 82 | 21% |
Works on the “frontline”* | 65 | 21% | 39 | 10% | 40 | 10% |
* Note: individuals working in their “normal” setting which is not home (vs. working from home, being furloughed or unemployed). This includes for example some health workers, teachers, checkout operators in essential shops, or refuse collectors. More details about the sample are provided in supplementary materials.