Statistics and Indicators

Meets physical activity guideline, children


    Meets Australian Physical Activity Guideline, 5 - 17 years, ACT General Health Survey, 2011 - 2021

    Between 2020 and 2021, the proportion of ACT General Health Survey respondents aged 5-17 years who met the physical activity guideline has remained stable (2020: 21.1%; 2021: 23.0%). In 2021, males (25.5%) were slightly more likely to report meeting the physical activity guideline than females (19.1%), however this difference was not statistically significant. 

    Meeting the physical activity guideline for children aged 5-17 years is based on the National Physical Activity guideline of accumulating 60 minutes or more of moderate to vigorous physical activity per day. For more information, visit:

    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 question for this indicator changed from 2020. Prior to 2020, the number of days doing physical activity during the past week was split between school days and weekend days. From 2020 onwards, the question was the number of days doing physical activity during the past seven days.

    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.

    Responses for children aged 5-15 years were provided by the parent/carer who knows the most about the child's health. Persons includes male, female, other and refused sex respondents and may not always add to the sum of male and female.

    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.