Statistics and Indicators

Mental health conditions - adults

    Chart

    Mental health conditions, 18 years and over, ACT General Health Survey, 2011-2020

     

    In 2020, 17.1% of respondents aged 18 years and over reported that they had been diagnosed with anxiety in the last 12 months, 15.2% with depression, 17.9% with a stress-related problem and 5.2% with another mental health condition. Females aged 18 years and over were significantly more likely to report being told they have anxiety than males (24.1% vs 10.2%), depression (19.4% vs 11.2%) and a stress-related problem (21.8% vs 13.4%). 

    For the purpose of reporting the ACT General Health Survey data on HealthStats, if the 95% confidence intervals of the estimates do not overlap, they are considered to be significantly different.

    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 estimate for males reporting another mental health condition has a relative standard error between 25% and 50% and should be used with caution.

    Persons includes male, female, other and refused sex respondents and may not always add to the sum of male and female.

    The following estimates have a relative standard error between 25% and 50% and should be used with caution:

    • 2011/12: persons, males and females reporting another mental health condition
    • 2013/14: males and females reporting another mental health condition
    • 2015/16: persons, males and females reporting another mental health condition
    • 2019 and 2020: males reporting another mental health condition

    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.

    To access the data please click on the "View source data" link at the bottom of the visualisation. This link will open up a data table that you can download.