coronavirus, covid-19, likelihood of developing coronavirus
Q. How likely do you think it is, that you will develop Covid-19?
| 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | 13/04 | 06/04 | 29/03 | |
| Very likely | 7% | 5% | 6% | 6% | 5% | 5% | 7% | 5% | 8% | 8% |
| Somewhat likely | 23% | 22% | 25% | 24% | 26% | 21% | 25% | 28% | 33% | 36% |
| Somewhat unlikely | 48% | 51% | 48% | 48% | 46% | 50% | 52% | 49% | 45% | 45% |
| Very unlikely | 22% | 23% | 21% | 21% | 23% | 23% | 17% | 18% | 14% | 12% |
| Base (n) | 1,059 | 1,087 | 1,073 | 1,067 | 1.093 | 1,054 | 1,051 | 1,068 | 1,069 | 1,086 |
| Age group | Location | |||||
| Total | 18-34 | 35-54 | 55+ | Capital | Non-Capital | |
| Very likely | 7% | 10% | 10% | 3% | 9% | 4% |
| Somewhat likely | 23% | 29% | 25% | 16% | 24% | 22% |
| Somewhat unlikely | 48% | 40% | 45% | 57% | 46% | 50% |
| Very unlikely | 22% | 21% | 21% | 24% | 21% | 23% |
| Base (n) | 1,059 | 341 | 342 | 376 | 732 | 327 |
coronavirus, covid-19, government response
Q. Overall, how would you rate the Government’s response to the Covid-19 outbreak?
| 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | 13/04 | 06/04 | |
| Very poor | 5% | 4% | 3% | 4% | 4% | 4% | 5% | 6% | 6% |
| Quite poor | 7% | 6% | 7% | 9% | 9% | 9% | 10% | 12% | 15% |
| Neither good, nor poor | 20% | 16% | 17% | 16% | 20% | 17% | 21% | 20% | 21% |
| Quite good | 39% | 43% | 41% | 39% | 38% | 44% | 42% | 40% | 37% |
| Very good | 28% | 30% | 32% | 32% | 28% | 26% | 23% | 23% | 21% |
| TOTAL: Poor | 12% | 11% | 11% | 13% | 14% | 13% | 15% | 17% | 21% |
| TOTAL: Good | 68% | 73% | 73% | 71% | 66% | 70% | 65% | 63% | 58% |
| Base (n) | 1,059 | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 | 1,051 | 1,068 | 1,069 |
| Gender | Age Group | Location | |||||||
| Total | Male | Female | 18-34 | 35-54 | 55+ | Capital | Non-Capital | ||
| Very poor | 5% | 5% | 4% | 6% | 6% | 3% | 5% | 4% | |
| Quite poor | 7% | 8% | 6% | 13% | 5% | 4% | 7% | 7% | |
| Neither good, nor poor | 20% | 21% | 20% | 31% | 20% | 11% | 21% | 19% | |
| Quite good | 39% | 42% | 37% | 37% | 45% | 36% | 40% | 38% | |
| Very good | 28% | 23% | 34% | 13% | 24% | 46% | 27% | 31% | |
| TOTAL: Poor | 12% | 14% | 10% | 19% | 10% | 7% | 12% | 12% | |
| TOTAL: Good | 68% | 65% | 70% | 50% | 70% | 82% | 67% | 69% | |
| Base (n) | 1,059 | 521 | 538 | 341 | 342 | 376 | 732 | 327 | |
coronavirus, covid-19, state government response
Q. How would you rate your state government’s response to the Covid-19 outbreak?
| 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | 13/04 | |
| Very poor | 6% | 4% | 3% | 4% | 4% | 4% | 5% | 5% |
| Quite poor | 6% | 7% | 8% | 8% | 8% | 9% | 9% | 11% |
| Neither good, nor poor | 20% | 17% | 17% | 16% | 18% | 17% | 20% | 20% |
| Quite good | 38% | 38% | 39% | 39% | 38% | 41% | 39% | 38% |
| Very good | 30% | 35% | 33% | 34% | 31% | 30% | 26% | 26% |
| TOTAL: Poor | 12% | 11% | 11% | 12% | 12% | 13% | 14% | 16% |
| TOTAL: Good | 68% | 73% | 72% | 73% | 70% | 70% | 66% | 64% |
| Base (n) | 1,059 | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 | 1,051 | 1,068 |
| State | |||||||
| Total | NSW | VIC | QLD | SA | WA | ||
| Very poor | 6% | 8% | 4% | 5% | 10% | 1% | |
| Quite poor | 6% | 7% | 7% | 7% | 4% | 2% | |
| Neither good, nor poor | 20% | 24% | 17% | 19% | 16% | 17% | |
| Quite good | 38% | 41% | 39% | 38% | 30% | 30% | |
| Very good | 30% | 20% | 33% | 30% | 40% | 49% | |
| TOTAL: Poor | 12% | 14% | 11% | 12% | 14% | 4% | |
| TOTAL: Good | 68% | 62% | 71% | 69% | 70% | 79% | |
| Base (n) | 1,059 | 345 | 275 | 208 | 83 | 101 | |
coronavirus, covid-19, easing restricitons
Q. When do you think governments should start to ease the restrictions on travel and gatherings to allow offices, shops, restaurants, other workplaces, and public spaces to start operating again?
| 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | |
| As soon as possible | 17% | 14% | 9% | 13% | 10% | 10% | 9% |
| Within the next 1 to 2 weeks | 11% | 10% | 13% | 12% | 9% | 7% | 6% |
| Within the next month | 19% | 23% | 23% | 22% | 21% | 18% | 14% |
| By the end of next month | 16% | 17% | 22% | 20% | 15% | 15% | 13% |
| It is too soon to consider easing restrictions | 27% | 27% | 25% | 27% | 37% | 42% | 49% |
| Unsure | 10% | 9% | 8% | 6% | 8% | 8% | 10% |
| Base (n) | 1,059 | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 | 1,051 |
| Gender | Age Group | ||||||
| Total | Male | Female | 18-34 | 35-54 | 55+ | ||
| As soon as possible | 17% | 19% | 15% | 16% | 19% | 15% | |
| Within the next 1 to 2 weeks | 11% | 14% | 9% | 15% | 10% | 9% | |
| Within the next month | 19% | 19% | 19% | 23% | 15% | 20% | |
| By the end of next month | 16% | 16% | 15% | 14% | 15% | 18% | |
| It is too soon to consider easing restrictions | 27% | 23% | 32% | 21% | 29% | 30% | |
| Unsure | 10% | 10% | 9% | 10% | 11% | 7% | |
| Base (n) | 1,059 | 521 | 538 | 341 | 342 | 376 | |
coronavirus concerns, covid-19
Q. To what extent are you concerned about the threat of Covid-19 (coronavirus) in Australia?
| 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | 13/04 | 06/04 | 29/03 | 22/03 | 09/03 | |
| Very concerned | 30% | 33% | 34% | 32% | 39% | 44% | 45% | 51% | 53% | 39% | 27% |
| Quite concerned | 49% | 47% | 49% | 46% | 44% | 43% | 43% | 37% | 35% | 43% | 36% |
| Not that concerned | 16% | 16% | 14% | 18% | 13% | 11% | 9% | 10% | 10% | 14% | 28% |
| Not at all concerned | 5% | 4% | 3% | 4% | 3% | 2% | 3% | 2% | 3% | 4% | 9% |
| Base (n) | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 | 1,051 | 1,068 | 1,069 | 1,086 | 1,034 | 1,096 |
| Age group | Location | |||||
| Total | 18-34 | 35-54 | 55+ | Capital | Non-Capital | |
| Very concerned | 30% | 29% | 33% | 28% | 32% | 26% |
| Quite concerned | 49% | 49% | 49% | 49% | 49% | 48% |
| Not that concerned | 16% | 18% | 14% | 17% | 15% | 20% |
| Not at all concerned | 5% | 4% | 4% | 6% | 4% | 7% |
| Base (n) | 1,087 | 341 | 364 | 382 | 738 | 349 |
covid-19, likelihood of developing coronavirus
Q. How likely do you think it is, that you will develop Covid-19?
| 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | 13/04 | 06/04 | 29/03 | 22/03 | |
| Very likely | 5% | 6% | 6% | 5% | 5% | 7% | 5% | 8% | 8% | 8% |
| Somewhat likely | 22% | 25% | 24% | 26% | 21% | 25% | 28% | 33% | 36% | 34% |
| Somewhat unlikely | 51% | 48% | 48% | 46% | 50% | 52% | 49% | 45% | 45% | 45% |
| Very unlikely | 23% | 21% | 21% | 23% | 23% | 17% | 18% | 14% | 12% | 13% |
| Base (n) | 1,087 | 1,073 | 1,067 | 1.093 | 1,054 | 1,051 | 1,068 | 1,069 | 1,086 | 1,034 |
| Age group | Location | |||||
| Total | 18-34 | 35-54 | 55+ | Capital | Non-Capital | |
| Very likely | 5% | 8% | 6% | 2% | 7% | 2% |
| Somewhat likely | 22% | 22% | 27% | 16% | 23% | 20% |
| Somewhat unlikely | 51% | 45% | 46% | 59% | 50% | 53% |
| Very unlikely | 23% | 25% | 21% | 23% | 21% | 25% |
| Base (n) | 1,087 | 341 | 364 | 382 | 738 | 349 |
coronavirus, covid-19, government response
Q. Overall, how would you rate the Government’s response to the Covid-19 outbreak?
| 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | 13/04 | 06/04 | 29/03 | |
| Very poor | 4% | 3% | 4% | 4% | 4% | 5% | 6% | 6% | 11% |
| Quite poor | 6% | 7% | 9% | 9% | 9% | 10% | 12% | 15% | 21% |
| Neither good, nor poor | 16% | 17% | 16% | 20% | 17% | 21% | 20% | 21% | 24% |
| Quite good | 43% | 41% | 39% | 38% | 44% | 42% | 40% | 37% | 34% |
| Very good | 30% | 32% | 32% | 28% | 26% | 23% | 23% | 21% | 11% |
| TOTAL: Poor | 11% | 11% | 13% | 14% | 13% | 15% | 17% | 21% | 31% |
| TOTAL: Good | 73% | 73% | 71% | 66% | 70% | 65% | 63% | 58% | 45% |
| Base (n) | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 | 1,051 | 1,068 | 1,069 | 1,086 |
| Gender | Age Group | Location | |||||||
| Total | Male | Female | 18-34 | 35-54 | 55+ | Capital | Non-Capital | ||
| Very poor | 4% | 6% | 3% | 7% | 4% | 3% | 4% | 6% | |
| Quite poor | 6% | 8% | 4% | 8% | 7% | 3% | 6% | 6% | |
| Neither good, nor poor | 16% | 16% | 16% | 21% | 16% | 13% | 16% | 18% | |
| Quite good | 43% | 41% | 44% | 48% | 47% | 34% | 45% | 38% | |
| Very good | 30% | 28% | 32% | 16% | 26% | 47% | 29% | 33% | |
| TOTAL: Poor | 11% | 14% | 7% | 15% | 11% | 6% | 10% | 12% | |
| TOTAL: Good | 73% | 70% | 76% | 63% | 73% | 81% | 74% | 70% | |
| Base (n) | 1,087 | 534 | 553 | 341 | 364 | 382 | 738 | 349 | |
coronavirus, covid-19, state government response
Q. How would you rate your state government’s response to the Covid-19 outbreak?
| 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | 13/04 | |
| Very poor | 4% | 3% | 4% | 4% | 4% | 5% | 5% |
| Quite poor | 7% | 8% | 8% | 8% | 9% | 9% | 11% |
| Neither good, nor poor | 17% | 17% | 16% | 18% | 17% | 20% | 20% |
| Quite good | 38% | 39% | 39% | 38% | 41% | 39% | 38% |
| Very good | 35% | 33% | 34% | 31% | 30% | 26% | 26% |
| TOTAL: Poor | 11% | 11% | 12% | 12% | 13% | 14% | 16% |
| TOTAL: Good | 73% | 72% | 73% | 70% | 70% | 66% | 64% |
| Base (n) | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 | 1,051 | 1,068 |
| State | |||||||
| Total | NSW | VIC | QLD | SA | WA | ||
| Very poor | 4% | 5% | 3% | 3% | 2% | 4% | |
| Quite poor | 7% | 8% | 9% | 8% | 2% | 3% | |
| Neither good, nor poor | 17% | 22% | 16% | 15% | 12% | 10% | |
| Quite good | 38% | 41% | 37% | 42% | 38% | 20% | |
| Very good | 35% | 24% | 36% | 32% | 46% | 63% | |
| TOTAL: Poor | 11% | 13% | 11% | 12% | 4% | 7% | |
| TOTAL: Good | 73% | 65% | 73% | 74% | 84% | 83% | |
| Base (n) | 1,087 | 349 | 275 | 220 | 84 | 106 | |