It is widely understood that households with low economic resources and poor labour market attachment are at considerable risk of food insecurity in Australia. However, little is known about variations in food insecurity by receipt of specific classes of social assistance payments that are made through the social security system. Using newly released data from the 2016 Household Expenditure Survey, this paper reports on variations in food insecurity prevalence across a range of payment types. We further investigated measures of financial wellbeing reported by food-insecure households in receipt of social assistance payments. Results showed that individuals in receipt of Newstart allowance (11%), Austudy/Abstudy (14%), the Disability Support Pension (12%), the Carer Payment (11%) and the Parenting Payment (9%) were at significantly higher risk of food insecurity compared to those in receipt of the Age Pension (<1%) or no payment at all (1.3%). Results further indicated that food-insecure households in receipt of social assistance payments endured significant financial stress, with a large proportion co-currently experiencing “fuel” or “energy” poverty. Our results support calls by a range of Australian non-government organisations, politicians, and academics for a comprehensive review of the Australian social security system

Background:Population aging places greater demands on the supply of informal carers. The aims of this study were to examine (1) the types of unmet support needs of carers of older Australians and (2) the association of unmet needs with mental health.Methods:Utilizing new data from the 2015 Australian Bureau of Statistics (ABS) Survey of Disability, Ageing and Carers, we calculated the prevalence of carers experiencing specific and multiple unmet needs for support, using single and multiple item measures. Logistic regression models were fitted to examine the association between unmet needs and psychological distress (using the Kessler psychological distress scale), once demographic and health factors were controlled for.Results:In 2015, 35% of carers of older Australians cited at least one unmet need for support. Among this group, almost two-thirds cited multiple unmet support needs (64.7%). The most prevalent types of unmet needs included financial (18%), physical (13%), and emotional support (12%), as well as additional respite care and support to improve carer health (12%). After controlling for demographic and health characteristics of the carer, having any unmet need for support increased the odds of psychological distress by twofold (OR = 2.20, 95% CI = 1.65, 2.94). With each successive unmet need for support, the odds of psychological distress increased 1.37 times (OR = 1.36, 95% CI = 1.22, 1.54). Those who had received assistance with care, but required further support were 1.95 times more likely (OR = 1.95, 95% CI = 1.17, 3.24) to be in distress and those who had not received care assistance were about 2.4 times more likely (OR = 2.38 95% OR = 1.56, 3.62) to be in distress relative to those with no unmet need.Conclusions:Addressing unmet support needs of carers is important, not only for the planning of services for carers in an aging population, but also because of the association between unmet support needs and carers mental health.

Objectives: To assess levels of numerical, structural, timing and spatial aspects of ageing of the Aboriginal and Torres Strait Islander population. Methods: Population projections for 15 Australian regions were created by a multi-state cohort-component model. Results: The older (45-plus) population grew from 29,815 in 1986 to 167,259 in 2016. In the subsequent 30 years, we project growth to 448,785 people. Growth rates of the older population vary: from 200% in the 60–64-year-old group to 800% growth in the 85-plus age group by mid-century. This strong numerical ageing is reflected in a shift in structural ageing by about six percentage points. Selected areas outside of capital cities are structurally older than many cities. Numerical ageing is strongest in capital cities and New South Wales. Cohort flow is the primary driver of ageing. Conclusions: Numerical and structural ageing is projected to increase significantly to mid-century with important spatial variations. Population ageing is largely irreversible. Implications for public health: High numerical growth in the older Aboriginal and Torres Strait Islander population poses implications for increased demand for a range of health and care services. Variations in spatial and timing aspects of ageing indicate demand will peak earlier in some geographical locations relative to others.