Household finance statistics, by household composition and age group, contribute to understanding the overall economic wellbeing of households.

Indicators of financial stress by household composition are collected in the General Social Survey conducted by the Australian Bureau of Statistics (ABS). The survey aims to provide an understanding of the multi-dimensional nature of relative advantage and disadvantage across the population.

The survey has been conducted every 4 years since 2002 to 2019. An additional survey was conducted from 15 June to 5 September 2020, during the COVID-19 pandemic. Detailed information is collected about the personal and household characteristics of persons aged 15 years and over in private dwellings throughout Australia (excluding foreign diplomats, members of non-Australian defence forces, visitors, people living in very remote areas and people living in discrete Aboriginal and Torres Strait Islander communities).

In 2014, the survey included comprehensive information about a range of financial stress indicators for a variety of household composition types. Information from these questions has not been collected in subsequent surveys, and the data presented here refers to 2014 only. A sample of 12,932 dwellings across the states and territories were included in the 2014 survey to generate estimates and relative standard errors for the Australian resident population.

The General Social Survey includes information on a range of social dimensions such as experiences of homelessness, household income, housing costs and financial statistics, demographic characteristics, transport and mobility, education, and employment.

General Social Survey data are also used in the following dashboard menu options: Financial statistics (2014), People with experiences of homelessness (2014), People without a permanent place to live (2019) and Households financial characteristics (2020).

See ABS - General Social Survey: Summary Results, Australia, 2014 for further information, including in-depth commentary and analysis, in particular the source data Quality Declaration. Source reference Data downloads, tables 16.1 and 16.3.