Statistics and Indicators

Meets vegetable guideline, age groups


    Meets Australian Dietary Guideline for vegetables, adult age groups, ACT General Health Survey, 2011 - 2021

    In 2021, 3.6% of respondents to the ACT General Health Survey aged 25 to 44 years  reported that they eat the recommended daily serves of vegetables; 5.0% of respondents aged 45 to 64 years eat the recommended daily serves of vegetables and 4.9% of respondents aged 65 years and over.

    Estimates include those who reported that they do not eat vegetables.

    Based on the 2013 Australian Dietary Guidelines recommended number of serves per day for sex and age. 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 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 have a relative standard error between 25% and 50% and should be used with caution:

    - 2011/12 respondents aged 18 to 24 years
    - 2015/16 respondents aged 25 to 44 years
    - 2020 and 2021 respondents aged 65 years and over.

    The 2015/16, 2018, 2020 and 2021 estimates for respondents aged 18 to 24 years 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.