Statistics and Indicators

E-cigarettes, age groups


    Ever used e-cigarettes, age groups, ACT General Health Survey, 2015 - 2021

    Between 2020 and 2021, the proportion of respondents to the ACT General Health Survey aged 16 to 24 years and 25 to 44 years who reported that they had ever used e-cigarettes slightly increased, however this increase was not statistically significant (16 to 24 years: 2020: 29.2%; 2021: 43.4%; 25 to 44 years: 2020: 13.0%; 2021: 19.6%). In 2021, respondents aged 16 to 24 years (43.4%) were significantly more likely to report that they have ever used e-cigarettes than respondents aged 25 to 44 years (19.6%) and respondents aged 45 to 64 years (7.2%).  

    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.

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

    The following estimates for ever used e-cigarettes have a relative standard error between 25% and 50% and should be used with caution:

    - 2015/16 estimates for 16 to 24 year olds, 25 to 44 year olds, 45 to 64 year olds and respondents aged 65 years and over
    - 2018 and 2020 estimates for 16 to 24 year olds.

    The 2018, 2020 and 2021 estimates for respondents aged 65 years and over have not been published due to small numbers or a relative standard error greater than 50%.

    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.