Evaluating Australia's health status with data and analysing variations between population groups (VCE HHD Unit 3 AoS 1)

What this dot point is asking

This page covers two key skills from Unit 3 AoS 1: "use data to evaluate the health status of Australians" and "analyse health information to explain how factors can contribute to variations in health status between population groups". The factors themselves are covered in factors contributing to variations. This page is about reading the data and making a judgement.

The 2025 study design no longer prescribes population groups to study. The VCAA FAQ says this is to avoid stigmatising groups and to emphasise data analysis. Exam stimulus may name groups (males and females, remote areas) or de-identify them ("population group A"). Either way, the skills are the same.

Evaluating the health status of Australians

To evaluate, you weigh strengths against weaknesses and reach a judgement. Use more than one indicator and include trends.

Strengths

• Long lives. Life expectancy at birth was 81.1 years for males and 85.1 years for females in 2022-2024 (ABS), 0.8 and 0.7 years higher than a decade earlier. The UNDP's Human Development Report 2025 lists Australia's life expectancy at 83.9 years (2023 data) and ranks Australia 7th of 193 countries on the Human Development Index.
• Low infant and maternal mortality. The infant mortality rate was 3.27 deaths per 1,000 live births in 2024 (ABS). The maternal mortality ratio was 6.7 per 100,000 women giving birth in 2021-2023 (AIHW), compared with a global ratio of 197 per 100,000 live births in 2023.
• Falling premature death. Between 2003 and 2024 the age-standardised rate of fatal burden fell 26 per cent. Burden rates fell 58 per cent for coronary heart disease, 54 per cent for stroke and 33 per cent for lung cancer (AIHW Australian Burden of Disease Study 2024).
• Falling tobacco harm. The age-standardised rate of burden attributable to tobacco fell 41 per cent from 2003 to 2024, and daily smoking among people aged 14 and over fell to 8.3 per cent in 2022-2023 (NDSHS).

Weaknesses and challenges

• Living longer, but not healthier for longer. The AIHW found the proportion of life spent in full health has not changed since 2003. Males can expect 9.9 years in ill health and females 11.7 years (2024).
• Rising non-fatal burden. The age-standardised non-fatal burden rate rose 7 per cent between 2003 and 2024, and 54 per cent of total burden in 2024 came from living with illness or injury. Burden rates rose for dementia (42 per cent), anxiety disorders (34 per cent), osteoarthritis (26 per cent), suicide and self-inflicted injuries (19 per cent) and depressive disorders (18 per cent).
• Chronic conditions are common. Half of Australians (49.9 per cent) had at least one chronic condition in 2022 (ABS).
• Modifiable risk factors remain high. 36 per cent of burden in 2024 was attributable to modifiable risk factors, led by overweight including obesity (8.3 per cent). In 2022, 65.8 per cent of adults were overweight or obese, only 4.2 per cent met both the fruit and vegetable recommendations, and only 23.9 per cent of people aged 15 and over met the physical activity guidelines (ABS).
• Dementia is now the leading cause of death, accounting for 9.4 per cent of deaths in 2024, ahead of ischaemic heart diseases at 8.7 per cent (ABS).
• Health status is unequal, as the next section shows.

Variations between population groups

Males and females

Males die younger and experience more fatal burden, especially from coronary heart disease, suicide and injury (males experienced three times the female burden from suicide and self-inflicted injuries in 2024). Females live longer but spend more years in ill health, with more burden from dementia, anxiety disorders and osteoarthritis.

Socioeconomic status

The AIHW's Australian Burden of Disease Study 2018 (the latest with socioeconomic breakdowns; the next major update is due in 2026) found that people in the lowest socioeconomic group experienced total burden at 1.6 times the rate of those in the highest group, after adjusting for age. Much of the gap comes from chronic diseases linked to tobacco use, overweight and obesity and harmful alcohol use, which are more common in lower socioeconomic areas.

Remoteness and geography

The same 2018 study found people in remote and very remote areas experienced total burden at 1.4 times the rate of people in major cities. The 2022 VCAA stimulus showed age-standardised death rates from coronary heart disease, COPD, lung cancer and diabetes rising as remoteness increased. At state level, the ABS reported 2022-2024 life expectancy ranging from 82.0 years (males) and 85.8 years (females) in the ACT to 77.0 and 80.7 years in the Northern Territory. The ABS noted that diabetes deaths were notably higher in remote and very remote areas in 2024.

Aboriginal and Torres Strait Islander peoples

• Life expectancy at birth in 2020-2022 was 71.9 years for males and 75.6 years for females, 8.8 and 8.1 years lower than for non-Indigenous males and females (ABS).
• The infant mortality rate for Aboriginal and Torres Strait Islander babies was 6.2 per 1,000 live births in 2024 in the five jurisdictions with reliable data, compared with 3.27 for all Australian infants (ABS).
• In 2018, total burden of disease was 2.3 times the rate for non-Indigenous Australians after adjusting for age, but it fell 15 per cent between 2003 and 2018, driven by a 27 per cent fall in fatal burden (AIHW). Mental health and substance use disorders were the leading contributors (24 per cent).
• In the Productivity Commission's Closing the Gap Annual Data Compilation Report (July 2026), life expectancy (Target 1) was "improving but not on track".

Frame these variations with a strengths-based lens: they reflect the ongoing effects of colonisation, racism and unequal access to the prerequisites for health, and improvements are being driven by community-controlled, culturally grounded approaches (see Closing the Gap).

Reading data: the rules examiners apply

Trend versus variation

• A trend is a change over time, or a consistent pattern across an ordered category such as remoteness. The 2024 report penalised students who described one point in time instead of a change over the period. The 2022 report reminded students that a trend "is not represented by a difference between two groups in relation to one disease".
• A variation is a difference between groups at a point in time.

Describing data precisely

1. Name both groups or both time points.
2. Give figures with units: "approximately 60 per cent", "3.27 per 1,000 live births", "1.4 times the rate".
3. State the direction: higher, lower, increased, decreased.
4. Use approximately when reading from a graph.
5. Use only what the data shows. If the graph shows death rates, do not write about the risk of developing the disease.

Building a variation answer from data to explanation

Most multi-part questions follow this sequence:

1. Describe the variation or trend with data (1 to 2 marks).
2. Explain it using factors of the category named, linking each to both groups and the indicator (2 to 6 marks).
3. Sometimes, evaluate or suggest a strategy or program that could reduce the variation, which bridges into Unit 3 AoS 2.

Practise with real data: download a table from the ABS life expectancy release or the AIHW burden of disease data, write a one-sentence trend and a one-sentence variation, then add two factors. That is exactly the 2025 Question 3 structure (1 + 2 + 6 marks).