coronavirus, covid-19, likelihood of developing
Q. How likely do you think it is, that you will develop Covid-19?
22/08 | 15/06 | 08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | |
Very likely | 8% | 6% | 6% | 7% | 5% | 6% | 6% | 5% | 5% | 7% |
Somewhat likely | 23% | 19% | 22% | 23% | 22% | 25% | 24% | 26% | 21% | 25% |
Somewhat unlikely | 49% | 49% | 47% | 48% | 51% | 48% | 48% | 46% | 50% | 52% |
Very unlikely | 21% | 26% | 25% | 22% | 23% | 21% | 21% | 23% | 23% | 17% |
Base (n) | 1,079 | 1,087 | 1,073 | 1,059 | 1,087 | 1,073 | 1,067 | 1.093 | 1,054 | 1,051 |
coronavirus, covid-19, second wave
Q. How likely do you think it is, that there will be a second wave of Covid-19 infections will occur as a result of easing restrictions?
Total | Gender | Age Group | ||||
Male | Female | 18-34 | 35-54 | 55+ | ||
Very likely | 20% | 18% | 21% | 18% | 24% | 17% |
Quite likely | 43% | 41% | 45% | 40% | 40% | 50% |
Neither likely nor unlikely | 24% | 26% | 23% | 28% | 24% | 21% |
Quite unlikely | 10% | 11% | 8% | 11% | 8% | 10% |
Very unlikely | 3% | 4% | 2% | 4% | 4% | 2% |
TOTAL: Likely | 63% | 59% | 67% | 58% | 64% | 67% |
TOTAL: Unlikely | 13% | 15% | 10% | 14% | 12% | 12% |
Base (n) | 1,079 | 525 | 554 | 332 | 362 | 385 |
State | |||||
NSW | VIC | QLD | SA | WA | |
Very likely | 21% | 24% | 20% | 14% | 14% |
Quite likely | 41% | 45% | 43% | 45% | 43% |
Neither likely nor unlikely | 27% | 21% | 24% | 23% | 24% |
Quite unlikely | 9% | 7% | 10% | 11% | 15% |
Very unlikely | 3% | 2% | 3% | 6% | 4% |
TOTAL: Likely | 62% | 70% | 63% | 59% | 57% |
TOTAL: Unlikely | 12% | 9% | 13% | 18% | 19% |
Very likely | 352 | 261 | 216 | 88 | 110 |
coronavirus, covid-19, debt, quarantine, recovery, vaccine
Q. Thinking about the future, how long do you think it will take for the following to occur?
Within the next six months | Seven months up to one year | One to two years | More than two years | Never | |
Quarantine will no longer required after international travel | 12% | 27% | 35% | 22% | 4% |
A Covid-19 vaccine will be developed | 11% | 22% | 43% | 20% | 4% |
The housing market will return pre-pandemic levels | 11% | 22% | 38% | 25% | 4% |
International travel will be allowed without restriction | 10% | 23% | 39% | 24% | 4% |
Unemployment will return to pre-pandemic levels | 8% | 17% | 37% | 33% | 6% |
The population will build resistance to Covid-19 through exposure (herd immunity) | 8% | 15% | 31% | 27% | 20% |
Australia will pay off its national debt | 5% | 9% | 12% | 52% | 22% |
WITHIN NEXT SIX MONTHS | Gender | Age Group | |||
Male | Female | 18-34 | 35-54 | 55+ | |
Quarantine will no longer required after international travel | 13% | 10% | 14% | 14% | 7% |
A Covid-19 vaccine will be developed | 15% | 8% | 16% | 12% | 7% |
The housing market will return pre-pandemic levels | 13% | 8% | 15% | 11% | 6% |
International travel will be allowed without restriction | 12% | 9% | 16% | 13% | 4% |
Unemployment will return to pre-pandemic levels | 8% | 7% | 13% | 8% | 3% |
The population will build resistance to Covid-19 through exposure (herd immunity) | 9% | 7% | 11% | 9% | 3% |
Australia will pay off its national debt | 7% | 3% | 9% | 6% | 1% |
Base (n) | 525 | 554 | 332 | 362 | 385 |
coronavirus, covid-19, government response
Q. Overall, how would you rate the Government’s response to the Covid-19 outbreak?
22/08 | 15/06 | 08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | |
Very poor | 4% | 3% | 4% | 5% | 4% | 3% | 4% | 4% | 4% | 5% |
Quite poor | 8% | 8% | 8% | 7% | 6% | 7% | 9% | 9% | 9% | 10% |
Neither good, nor poor | 17% | 16% | 18% | 20% | 16% | 17% | 16% | 20% | 17% | 21% |
Quite good | 43% | 42% | 40% | 39% | 43% | 41% | 39% | 38% | 44% | 42% |
Very good | 27% | 30% | 30% | 28% | 30% | 32% | 32% | 28% | 26% | 23% |
TOTAL: Poor | 12% | 11% | 12% | 12% | 11% | 11% | 13% | 14% | 13% | 15% |
TOTAL: Good | 71% | 72% | 70% | 68% | 73% | 73% | 71% | 66% | 70% | 65% |
Base (n) | 1,079 | 1,087 | 1,073 | 1,059 | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 | 1,051 |
Gender | Age Group | Location | ||||||
Total | Male | Female | 18-34 | 35-54 | 55+ | Capital | Non-Capital | |
Very poor | 4% | 6% | 2% | 5% | 5% | 2% | 4% | 4% |
Quite poor | 8% | 9% | 8% | 12% | 7% | 6% | 9% | 7% |
Neither good, nor poor | 17% | 18% | 16% | 23% | 21% | 8% | 16% | 19% |
Quite good | 43% | 39% | 47% | 44% | 43% | 43% | 43% | 43% |
Very good | 27% | 28% | 27% | 17% | 24% | 40% | 28% | 27% |
TOTAL: Poor | 12% | 14% | 10% | 17% | 12% | 9% | 13% | 11% |
TOTAL: Good | 71% | 67% | 74% | 61% | 67% | 83% | 71% | 70% |
Base (n) | 1,079 | 525 | 554 | 332 | 362 | 385 | 728 | 351 |
coronavirus, covid-19, state government reponse
Q. How would you rate your state government’s response to the Covid-19 outbreak?
22/08 | 15/06 | 08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | |
Very poor | 5% | 4% | 4% | 6% | 4% | 3% | 4% | 4% | 4% | 5% |
Quite poor | 8% | 8% | 7% | 6% | 7% | 8% | 8% | 8% | 9% | 9% |
Neither good, nor poor | 17% | 17% | 17% | 20% | 17% | 17% | 16% | 18% | 17% | 20% |
Quite good | 41% | 38% | 39% | 38% | 38% | 39% | 39% | 38% | 41% | 39% |
Very good | 28% | 33% | 32% | 30% | 35% | 33% | 34% | 31% | 30% | 26% |
TOTAL: Poor | 13% | 12% | 11% | 12% | 11% | 11% | 12% | 12% | 13% | 14% |
TOTAL: Good | 69% | 71% | 71% | 68% | 73% | 72% | 73% | 70% | 70% | 66% |
Base (n) | 1,079 | 1,087 | 1,073 | 1,059 | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 | 1,051 |
State | |||||||
Total | NSW | VIC | QLD | SA | WA | ||
Very poor | 5% | 4% | 8% | 6% | 4% | 4% | |
Quite poor | 8% | 8% | 5% | 14% | 5% | 4% | |
Neither good, nor poor | 17% | 18% | 22% | 15% | 13% | 17% | |
Quite good | 41% | 45% | 38% | 42% | 39% | 27% | |
Very good | 28% | 25% | 26% | 22% | 40% | 48% | |
TOTAL: Poor | 13% | 12% | 13% | 20% | 8% | 8% | |
TOTAL: Good | 69% | 70% | 65% | 64% | 79% | 75% | |
Base (n) | 1,079 | 352 | 261 | 216 | 88 | 110 | |
coronavirus, covid-19, response, state government
Q. How would you rate your state government’s response to the Covid-19 outbreak?
15/06 | 08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | |
Very poor | 4% | 4% | 6% | 4% | 3% | 4% | 4% | 4% | 5% |
Quite poor | 8% | 7% | 6% | 7% | 8% | 8% | 8% | 9% | 9% |
Neither good, nor poor | 17% | 17% | 20% | 17% | 17% | 16% | 18% | 17% | 20% |
Quite good | 38% | 39% | 38% | 38% | 39% | 39% | 38% | 41% | 39% |
Very good | 33% | 32% | 30% | 35% | 33% | 34% | 31% | 30% | 26% |
TOTAL: Poor | 12% | 11% | 12% | 11% | 11% | 12% | 12% | 13% | 14% |
TOTAL: Good | 71% | 71% | 68% | 73% | 72% | 73% | 70% | 70% | 66% |
Base (n) | 1,087 | 1,073 | 1,059 | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 | 1,051 |
State | |||||||
Total | NSW | VIC | QLD | SA | WA | ||
Very poor | 4% | 4% | 6% | 6% | 1% | 3% | |
Quite poor | 8% | 9% | 5% | 12% | 6% | 4% | |
Neither good, nor poor | 17% | 22% | 13% | 15% | 17% | 17% | |
Quite good | 38% | 41% | 39% | 39% | 40% | 28% | |
Very good | 33% | 24% | 36% | 28% | 36% | 49% | |
TOTAL: Poor | 12% | 13% | 11% | 18% | 7% | 6% | |
TOTAL: Good | 71% | 65% | 75% | 67% | 76% | 77% | |
Base (n) | 1,087 | 352 | 275 | 217 | 83 | 107 |
coronavirus, covid-19, likelihood of developing coronavirus
Q. How likely do you think it is, that you will develop Covid-19?
08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | 13/04 | 06/04 | |
Very likely | 6% | 7% | 5% | 6% | 6% | 5% | 5% | 7% | 5% | 8% |
Somewhat likely | 22% | 23% | 22% | 25% | 24% | 26% | 21% | 25% | 28% | 33% |
Somewhat unlikely | 47% | 48% | 51% | 48% | 48% | 46% | 50% | 52% | 49% | 45% |
Very unlikely | 25% | 22% | 23% | 21% | 21% | 23% | 23% | 17% | 18% | 14% |
Base (n) | 1,073 | 1,059 | 1,087 | 1,073 | 1,067 | 1.093 | 1,054 | 1,051 | 1,068 | 1,069 |
Age group | Location | |||||
Total | 18-34 | 35-54 | 55+ | Capital | Non-Capital | |
Very likely | 6% | 8% | 8% | 3% | 6% | 6% |
Somewhat likely | 22% | 29% | 22% | 17% | 25% | 18% |
Somewhat unlikely | 47% | 38% | 47% | 54% | 47% | 46% |
Very unlikely | 25% | 25% | 23% | 27% | 22% | 30% |
Base (n) | 1,073 | 341 | 363 | 369 | 727 | 349 |
coronavirus, covid-19, government response
Q. Overall, how would you rate the Government’s response to the Covid-19 outbreak?
08/06 | 01/06 | 25/05 | 18/05 | 11/05 | 04/05 | 27/04 | 20/04 | 13/04 | |
Very poor | 4% | 5% | 4% | 3% | 4% | 4% | 4% | 5% | 6% |
Quite poor | 8% | 7% | 6% | 7% | 9% | 9% | 9% | 10% | 12% |
Neither good, nor poor | 18% | 20% | 16% | 17% | 16% | 20% | 17% | 21% | 20% |
Quite good | 40% | 39% | 43% | 41% | 39% | 38% | 44% | 42% | 40% |
Very good | 30% | 28% | 30% | 32% | 32% | 28% | 26% | 23% | 23% |
TOTAL: Poor | 12% | 12% | 11% | 11% | 13% | 14% | 13% | 15% | 17% |
TOTAL: Good | 70% | 68% | 73% | 73% | 71% | 66% | 70% | 65% | 63% |
Base (n) | 1,073 | 1,059 | 1,087 | 1,073 | 1,067 | 1,093 | 1,054 | 1,051 | 1,068 |
Gender | Age Group | Location | |||||||
Total | Male | Female | 18-34 | 35-54 | 55+ | Capital | Non-Capital | ||
Very poor | 4% | 5% | 2% | 5% | 4% | 2% | 4% | 4% | |
Quite poor | 8% | 9% | 7% | 13% | 8% | 4% | 9% | 6% | |
Neither good, nor poor | 18% | 19% | 17% | 26% | 18% | 11% | 18% | 18% | |
Quite good | 40% | 38% | 43% | 41% | 45% | 36% | 41% | 39% | |
Very good | 30% | 29% | 31% | 14% | 26% | 47% | 29% | 33% | |
TOTAL: Poor | 12% | 14% | 9% | 18% | 11% | 6% | 12% | 10% | |
TOTAL: Good | 70% | 67% | 74% | 55% | 71% | 83% | 70% | 72% | |
Base (n) | 1,073 | 528 | 545 | 341 | 363 | 369 | 727 | 349 |