Call Mental Health Triage on
1800 629 354
(free call except from mobiles or public phones) or
6205 1065
For a poison emergency in Australia call
13 11 26
The Drug and Alcohol Help Line is available 24-hours, 7 days a week on
5124 9977
For after hours urgent public health matters including environmental health, radiation safety, food poisoning and communicable disease management phone:
02 5124 9700
Emergency help
during flood or storms
A resilience scale score is calculated by summing the responses for the two statements "I am able to adapt when changes occur" and "I tend to recover well after illness, injury, or other hardships". The scale for both questions is 0 to 4, where 0 is not true at all and 4 is true nearly all the time. The resilience scale score is 0-8.
In 2022, the average resilience scale score for respondents to the ACT General Health Survey aged 18 to 24 years was 6.0, 6.2 for respondents aged 25 to 44 years, 6.5 for respondents aged 45 to 64 years and 6.6 for respondents aged 65 years and over remained stable. In 2022, the average resilience scale score for respondents aged 18 to 24 years and 25 to 44 years were significantly lower than respondents aged 65 years and over.
Note: The indicator shows self-reported data collected through Computer Assisted Telephone Interviewing (CATI). Estimates were weighted to adjust for differences in the probability of selection among respondents and were benchmarked to the estimated residential population using the latest available Australian Bureau of Statistics population estimates.
The resilience scale score is collected every third year (2019 and 2022). Respondents are aged 18 years and over (i.e. no children).
Persons includes respondents who identified as male, female, other and those who refused to answer and may not always add to the sum of male and female.
If a respondent did not answer one of the statements, they were excluded from analysis.
Statistically significant differences are difficult to detect for smaller jurisdictions such as the Australian Capital Territory. Sometimes, even large apparent differences may not be statistically significant. This is particularly the case in breakdowns of small populations because the small sample size means that there is not enough power to identify even large differences as statistically significant.