Statistics and Indicators

Gender equity - adults


    Low gender equity score, 18 years and over, ACT General Health Survey, 2019


    A low gender equity in relationships score is calculated by summing the responses for the two statements "Men should take control in relationships and be the head of the household" and "Women prefer a man to be in charge of the relationship". The scale for both questions is one to five, where one is strongly agree and five is strongly disagree. A low gender equity score is defined as being <70. 

    19.7% of respondents to the 2019 ACT General Health Survey had a low gender equity in relationships score. Males were significantly more likely to report a low gender equity score than females (25.7% vs 14.2%). 

    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.

    Respondents to the 2019 ACT General Health Survey were aged 18 years and over. Persons includes male, female, other sex and refused sex respondents and may not always add to the sum of male and female. 

    The score is multiplied by 10, giving it a range of 10-100. 

    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.

    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.