Interactive data visualisation: Causes of death by sex

This interactive data visualisation (Figure 5.7) presents data for causes of deaths in humanitarian entrants, other permanent migrants and the rest of the Australian population by sex.

How to interpret the interactive data visualisation

Measures

  • Number of deaths: the number of deaths recorded for the given cause of death between 2007 and 2020 for the population groups.
  • Mortality rate per 100,000 person-years: the number of deaths recorded for the given cause of death between 2007 and 2020 for the population groups per 100,000 people in that population.
  • Age-standardised mortality rate per 100,000 person-years: the number of deaths recorded for the given cause of death between 2007 and 2020 for the population groups per 100,000 people in that population, adjusted for the age structure of the population.

The following data visualisation (Figure 5.7) presents a bar chart. The data can be filtered by the following:

  • cause of death grouping (drop-down menu)
  • cause of death (drop-down menu)
  • sex (drop-down menu)
  • measure (x3 radio buttons) 
    • age-standardised mortality rate per 100,000 person-years
    • mortality rate per 100,000 person-years
    • number of deaths.

Figure 5.7: Causes of death by sex, 2007–2020

In males, the age-adjusted rate of accidental drownings was higher in humanitarian entrants than in other permanent migrants and the rest of the population. In females, the age-adjusted rate of deaths caused by land transport accidents was higher in humanitarian entrants than in other permanent migrants and the rest of the population.

Notes

  1. 'Number of deaths' is the number of deaths recorded for a population group from 2007 to 2020.
  2. 'Mortality rate per 100,000 person-years' is the number of deaths per 100,000 people in a population.
  3.  'Age-standardised mortality rate per 100,000 person-years' is the hypothetical number of deaths per 100,000 people in a population that would have been observed if the population groups had the same age structure. The population standard used was the 2001 Australian Standard Population.
  4. Data were not presented and marked as 'n.p.' (not published) when suppression was applied to manage confidentiality and when the number of events or the size of a population were not sufficient to produce reliable estimates.
  5. For more information on how these data were calculated, see the Technical notes.

References

Person-Level Integrated Data Asset (PLIDA), 2007–2020, PLIDA Modular Product, ABS DataLab. Findings based on use of PLIDA data.

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