Hotel quarantine, outbreak, Victoria
Q. Information released by health authorities suggests that Victoria’s Covid-19 outbreak started with breaches in hotel quarantine. Which of the following is closer to your view…?
| VICTORIA ONLY | Gender | Age group | Location | |||||
| Total | Male | Female | 18-34 | 35-54 | 55+ | Capital | Non-Capital | |
| This is mostly about individuals being irresponsible, and the focus should be on forcing them to be more responsible | 56% | 52% | 61% | 62% | 63% | 46% | 55% | 62% |
| This is mostly about failures in the system, with jobs in the security industry being insecure and workers not being given enough training | 44% | 48% | 39% | 38% | 37% | 54% | 45% | 38% |
| Base (n) | 499 | 238 | 261 | 149 | 154 | 196 | 388 | 111 |
2PP, federal voting intention, two party preferred
Q. If a Federal election was held tomorrow, to which party would you give your first preference vote in the House of Representatives (Lower House)?
[If don’t know] Well which party are you currently leaning towards?
| This week
27/07 |
Two weeks ago
13/07 |
29/06 | 22/06 | 15/06 | 08/06 | |
| Liberal / Liberal Nationals / Country Liberals | 36% | 35% | 36% | 37% | 36% | 37% |
| Nationals | 2% | 3% | 3% | 2% | 3% | 3% |
| Total: Coalition | 38% | 37% | 39% | 39% | 38% | 40% |
| Labor | 35% | 34% | 33% | 33% | 35% | 33% |
| Greens | 9% | 10% | 9% | 10% | 9% | 9% |
| Pauline Hanson’s One Nation | 4% | 4% | 4% | 5% | 5% | 4% |
| Other/Independent | 6% | 6% | 6% | 6% | 7% | 6% |
| Undecided | 8% | 9% | 8% | 7% | 7% | 8% |
| 2 Party Preferred (2PP+) | ||||||
| TOTAL: Coalition | 45% | 45% | 47% | 48% | 47% | 47% |
| Labor | 47% | 46% | 45% | 46% | 47% | 45% |
| Undecided | 8% | 9% | 8% | 7% | 7% | 8% |
coronavirus, coronavirus concerns, covid-19
Q. To what extent are you concerned about the threat of Covid-19 (coronavirus) in Australia?
| 27/07 | 13/07 | 22/06 | 15/06 | 08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | |
| Very concerned | 43% | 36% | 25% | 28% | 27% | 32% | 30% | 33% | 34% | 32% | 39% |
| Quite concerned | 44% | 48% | 50% | 45% | 48% | 49% | 49% | 47% | 49% | 46% | 44% |
| Not that concerned | 9% | 12% | 21% | 23% | 21% | 15% | 16% | 16% | 14% | 18% | 13% |
| Not at all concerned | 4% | 3% | 4% | 4% | 5% | 4% | 5% | 4% | 3% | 4% | 3% |
| Base (n) | 1,058 | 1,054 | 1,079 | 1,087 | 1,073 | 1,059 | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 |
| State | |||||||
| Total | NSW | VIC | QLD | SA | WA | ||
| Very concerned | 43% | 48% | 47% | 36% | 40% | 38% | |
| Quite concerned | 44% | 43% | 43% | 47% | 46% | 48% | |
| Not that concerned | 9% | 7% | 7% | 10% | 11% | 9% | |
| Not at all concerned | 4% | 2% | 3% | 7% | 3% | 6% | |
| Base (n) | 1,058 | 352 | 239 | 220 | 88 | 110 | |
coronavirus, covid-19, government response, state government response
Q. How would you rate your state government’s response to the Covid-19 outbreak?
| All States | 27/07 | 13/07 | 22/06 | 15/06 | 08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 |
| Very poor | 7% | 7% | 5% | 4% | 4% | 6% | 4% | 3% | 4% | 4% | 4% |
| Quite poor | 11% | 11% | 8% | 8% | 7% | 6% | 7% | 8% | 8% | 8% | 9% |
| Neither good, nor poor | 18% | 18% | 17% | 17% | 17% | 20% | 17% | 17% | 16% | 18% | 17% |
| Quite good | 36% | 36% | 41% | 38% | 39% | 38% | 38% | 39% | 39% | 38% | 41% |
| Very good | 28% | 28% | 28% | 33% | 32% | 30% | 35% | 33% | 34% | 31% | 30% |
| TOTAL: Poor | 18% | 17% | 13% | 12% | 11% | 12% | 11% | 11% | 12% | 12% | 13% |
| TOTAL: Good | 65% | 64% | 69% | 71% | 71% | 68% | 73% | 72% | 73% | 70% | 70% |
| Base (n) | 1,058 | 1,054 | 1,079 | 1,087 | 1,073 | 1,059 | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 |
| TOTAL: Good | 27/07 | 13/07 | 22/06 | 15/06 | 08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 |
| NSW | 62% | 63% | 70% | 65% | 67% | 62% | 65% | 70% | 70% | 68% | 63% |
| VIC | 53% | 49% | 65% | 75% | 72% | 71% | 73% | 71% | 71% | 72% | 77% |
| QLD | 67% | 69% | 64% | 67% | 68% | 69% | 74% | 66% | 70% | 65% | 67% |
| SA | 76% | 79% | 79% | 76% | 79% | 70% | 84% | 80% | 78% | 76% | 77% |
| WA | 82% | 77% | 75% | 77% | 84% | 79% | 83% | 86% | 83% | 79% | 76% |
| VICTORIA ONLY | 27/07 | 13/07 | 22/06 | 15/06 | 08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 |
| Very poor | 13% | 14% | 8% | 6% | 6% | 4% | 3% | 3% | 4% | 3% | 3% |
| Quite poor | 17% | 12% | 5% | 5% | 6% | 7% | 9% | 10% | 11% | 8% | 6% |
| Neither good, nor poor | 17% | 25% | 22% | 13% | 16% | 17% | 16% | 15% | 15% | 17% | 14% |
| Quite good | 34% | 32% | 38% | 39% | 38% | 39% | 37% | 38% | 34% | 32% | 40% |
| Very good | 19% | 17% | 26% | 36% | 34% | 33% | 36% | 33% | 37% | 40% | 37% |
| TOTAL: Poor | 30% | 26% | 13% | 11% | 12% | 11% | 11% | 14% | 14% | 11% | 9% |
| TOTAL: Good | 53% | 49% | 65% | 75% | 72% | 71% | 73% | 71% | 71% | 72% | 77% |
| Base (n) | 239 | 281 | 261 | 275 | 275 | 275 | 275 | 267 | 275 | 275 | 272 |
coronavirus, covid-19, government response, government response to covid-19
Q. Overall, how would you rate the Government’s response to the Covid-19 outbreak?
| 27/07 | 13/07 | 22/06 | 15/06 | 08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | |
| Very poor | 6% | 6% | 4% | 3% | 4% | 5% | 4% | 3% | 4% | 4% | 4% |
| Quite poor | 11% | 10% | 8% | 8% | 8% | 7% | 6% | 7% | 9% | 9% | 9% |
| Neither good, nor poor | 20% | 20% | 17% | 16% | 18% | 20% | 16% | 17% | 16% | 20% | 17% |
| Quite good | 40% | 40% | 43% | 42% | 40% | 39% | 43% | 41% | 39% | 38% | 44% |
| Very good | 24% | 24% | 27% | 30% | 30% | 28% | 30% | 32% | 32% | 28% | 26% |
| TOTAL: Poor | 16% | 16% | 12% | 11% | 12% | 12% | 11% | 11% | 13% | 14% | 13% |
| TOTAL: Good | 64% | 64% | 71% | 72% | 70% | 68% | 73% | 73% | 71% | 66% | 70% |
| Base (n) | 1,058 | 1,054 | 1,079 | 1,087 | 1,073 | 1,059 | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 |
coronavirus, covid-19, government response
Q. Out of the following two strategies, which do you think the Australian government should pursue in its response to the Covid-19 outbreak?
| Voting intention | |||||
| Total | Labor | NET: Coalition | Greens | NET: Other | |
| Elimination strategy:
Work towards removing all cases of Covid-19 in Australia |
44% | 52% | 31% | 54% | 49% |
| Suppression strategy:
Work towards minimising outbreaks and keeping the number of new cases at a manageable level for medical services until an effective vaccine is available |
56% | 48% | 69% | 46% | 51% |
| Base (n) | 1,058 | 334 | 428 | 81 | 107 |
| State | ||||||
| Total | NSW | VIC | QLD | SA | WA | |
| Elimination strategy:
Work towards removing all cases of Covid-19 in Australia |
44% | 42% | 46% | 41% | 42% | 46% |
| Suppression strategy:
Work towards minimising outbreaks and keeping the number of new cases at a manageable level for medical services until an effective vaccine is available |
56% | 58% | 54% | 59% | 58% | 54% |
| Base (n) | 1,058 | 352 | 239 | 220 | 88 | 110 |
coronavirus, covid-19, face mask
Q. To what extent do you support or oppose the mandatory use of face masks or coverings in public places to reduce the spread of Covid-19?
| Gender | Age group | ||||||
| Total | Male | Female | 18-34 | 35-54 | 55+ | ||
| Strongly oppose | 5% | 6% | 4% | 4% | 8% | 2% | |
| Somewhat oppose | 8% | 10% | 6% | 12% | 9% | 3% | |
| Neither support nor oppose | 20% | 21% | 19% | 25% | 18% | 17% | |
| Somewhat support | 27% | 28% | 25% | 26% | 27% | 28% | |
| Strongly support | 41% | 36% | 46% | 34% | 38% | 50% | |
| TOTAL: Oppose | 13% | 16% | 10% | 16% | 17% | 6% | |
| TOTAL: Support | 68% | 64% | 71% | 59% | 65% | 77% | |
| Base (n) | 1,058 | 538 | 520 | 341 | 331 | 386 | |
| State | ||||||||
| Total | NSW | VIC | QLD | SA | WA | |||
| Strongly oppose | 5% | 2% | 5% | 8% | 4% | 5% | ||
| Somewhat oppose | 8% | 8% | 10% | 9% | 5% | 7% | ||
| Neither support nor oppose | 20% | 20% | 12% | 25% | 26% | 27% | ||
| Somewhat support | 27% | 31% | 20% | 25% | 27% | 31% | ||
| Strongly support | 41% | 39% | 53% | 33% | 38% | 30% | ||
| TOTAL: Oppose | 13% | 10% | 14% | 17% | 9% | 12% | ||
| TOTAL: Support | 68% | 70% | 74% | 58% | 65% | 61% | ||
| Base (n) | 1,058 | 352 | 239 | 220 | 88 | 110 | ||
coronavirus, covid-19, face mask
Q. In your opinion, how effective are face masks or coverings at preventing the spread of Covid-19?
| Gender | Age group | ||||||
| Total | Male | Female | 18-34 | 35-54 | 55+ | ||
| Very effective | 19% | 21% | 17% | 22% | 19% | 16% | |
| Quite effective | 46% | 43% | 49% | 40% | 47% | 51% | |
| Not that effective | 20% | 22% | 17% | 24% | 19% | 17% | |
| Not effective at all | 5% | 7% | 4% | 5% | 7% | 4% | |
| Unsure | 10% | 7% | 13% | 8% | 9% | 12% | |
| Base (n) | 1,058 | 538 | 520 | 341 | 331 | 386 | |
| State | |||||||
| Total | NSW | VIC | QLD | SA | WA | ||
| Very effective | 19% | 18% | 19% | 20% | 19% | 13% | |
| Quite effective | 46% | 49% | 56% | 34% | 43% | 42% | |
| Not that effective | 20% | 19% | 14% | 24% | 25% | 26% | |
| Not effective at all | 5% | 4% | 5% | 10% | 2% | 6% | |
| Unsure | 10% | 11% | 6% | 13% | 12% | 13% | |
| Base (n) | 1,058 | 352 | 239 | 220 | 88 | 110 | |