Statistics and Indicators

Personal wellbeing index - adults

    Chart

    Personal wellbeing index, 18 years and over, ACT General Health Survey, 2019

     

    The personal wellbeing index (PWI) is based on a set of nine questions using a scale of 0-10, where 0 is completely dissatisfied and 10 is completely satisfied to rate how satisfied people are with various aspects of their life. The PWI scale score is calculated by summing the scores of satisfaction with your standard of living, your health, what you are currently achieving in life, your personal relationships, how safe you feel, feeling part of your community, your future security, the amount of time you have to do things you like doing and the quality of your local environment.  The PWI score scale is 0-100. 

    In 2019, the average PWI score for respondents to the ACT General Health Survey was 76.0.

    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.

    If a respondent was missing one value, the missing value was replaced by the mean of the other eight non missing values. If a respondent had more than one missing value, then 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.