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Respondents to the 2021 ACT General Health Survey were asked about their financial situation in the past 12 months. The three most common responses when asked if something had happened because they were short of money were delay or cancel non-essential purchases (14.2%); sought financial assistance from friends or family (7.9%) and sought financial assistance from welfare or community organisations (5.8%).
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 sex 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:
- 2019 estimates for males who went without meals, were unable to heat/cool their home and sought financial assistance from welfare or community organisation
- 2020 estimates for persons, males and females who were unable to heat/cook their home, males and females who couldn't pay their car registration or insurance on time, males who had pawned/sold something, males who couldn't pay the minimum payment on their credit card, males and females who went without meals, females who couldn't pay their rent/mortgage on time
- 2021 estimates for males and females who couldn't pay rent on time, car registration or insurance on time, went without meals or were unable to heat/cool their home and females who were unable to make the minimum payment on their credit card.
The statement for cancelling or delaying non-essential purchases was not included in the 2020 questionnaire.
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.