Key information about Australia Household Income per Capita

• Australia Annual Household Income per Capita reached 30,914.027 USD in Jun 2020, compared with the previous value of 34,767.371 USD in Jun 2018.
• Australia Annual Household Income per Capita data is updated yearly, available from Jun 1995 to Jun 2020, with an averaged value of 25,207.153 USD.
• The data reached an all-time high of 43,819.349 USD in Jun 2012 and a record low of 15,753.318 USD in Jun 2001.
• In the latest reports, Retail Sales of Australia grew 4.217 % YoY in May 2023.

CEIC calculates Annual Household Income per Capita from annual Weekly Average Household Income multiplied by 52, annual Number of Household and quarterly Total Population and converts it into USD. The Australian Bureau of Statistics provides Average Household Income in local currency, Number of Household and Total Population. Federal Reserve Board average market exchange rate is used for currency conversions. Household Income per Capita is in annual frequency, ending in June of each year. Household Income per Capita prior to 2008 based on 2017-2018 price.

In the 2018 financial year, the average gross weekly household income in New South Wales, Australia was 2,445 Australian dollars and an equivalized disposable income of 1,232 Australian dollars. The state or territory with the lowest gross income and the only one with an average gross income below 2,000 Australian dollars was Tasmania.

Australia Household Income: Gross Disposable Income data was reported at 421,840.000 AUD mn in Dec 2024. This records a decrease from the previous number of 435,293.000 AUD mn for Sep 2024. Australia Household Income: Gross Disposable Income data is updated quarterly, averaging 72,770.500 AUD mn from Sep 1959 (Median) to Dec 2024, with 262 observations. The data reached an all-time high of 435,293.000 AUD mn in Sep 2024 and a record low of 2,931.000 AUD mn in Jun 1960. Australia Household Income: Gross Disposable Income data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.A287: SNA08: Household Saving Ratio and Household Income.

The median income indicates the income bracket separating the income earners into two halves of equal size.

Dataset

This dataset was created by Varun Shrilal

Contents

As of August 2023, the median weekly earnings of employees in Australia were 1,300 Australian dollars. Since August 1975, the median weekly earnings of employees in Australia have increased more than ten-fold.

Australia Household Income: Trend: Gross Disposable Income data was reported at 310,021.000 AUD mn in Mar 2019. This records an increase from the previous number of 307,715.000 AUD mn for Dec 2018. Australia Household Income: Trend: Gross Disposable Income data is updated quarterly, averaging 62,425.000 AUD mn from Sep 1959 (Median) to Mar 2019, with 239 observations. The data reached an all-time high of 310,021.000 AUD mn in Mar 2019 and a record low of 3,087.000 AUD mn in Sep 1959. Australia Household Income: Trend: Gross Disposable Income data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.A288: SNA08: Household Saving Ratio and Household Income: Trend.

As of August 2023, the median hourly earnings of employees in Australia were 39.5 Australian dollars. Since August 2000, the median hourly earnings of employees in Australia have increased by over 23 Australian dollars.

Key information about Australia Monthly Earnings

• Australia Monthly Earnings stood at 4,026 USD in Nov 2024, compared with the previous figure of 3,903 USD in May 2024
• Australia Monthly Earnings data is updated semiannually, available from May 2012 to Nov 2024, with an average number of 3,740 USD
• The data reached the an all-time high of 4,560 USD in May 2013 and a record low of 3,344 USD in Nov 2015

CEIC calculates Monthly Earnings from Average Weekly Earnings multiplied by 4 and converts it into USD. The Australian Bureau of Statistics provides Average Weekly Earnings in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Monthly Earnings are in biannual frequency, ending in May and November of each year.


Further information about Australia Monthly Earnings

• In the latest reports, Australia Population reached 27 million people in Dec 2023
• Unemployment Rate of Australia increased to 4 % in Jan 2025
• The country's Labour Force Participation Rate dropped to 67 % in Jan 2025

Wages in Australia increased to 1542.30 AUD/Week in the second quarter of 2025 from 1510.90 AUD/Week in the fourth quarter of 2024. This dataset provides - Australia Average Weekly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Australia Average Number of Dependent Children in Household: Multiple Family data was reported at 1.200 Person in 2020. This records a decrease from the previous number of 1.400 Person for 2018. Australia Average Number of Dependent Children in Household: Multiple Family data is updated yearly, averaging 1.300 Person from Jun 2004 (Median) to 2020, with 9 observations. The data reached an all-time high of 1.500 Person in 2016 and a record low of 1.200 Person in 2020. Australia Average Number of Dependent Children in Household: Multiple Family data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H039: Survey of Income and Housing: Average Number of Dependent Children in Household: by Family Composition.

\r \r This data relates to the average annual family income of broadacre and dairy\r farm properties which responded to the ABARE annual farm survey over a three\r year period from 1996 -1997 to 1998 -1999. Average annual family income is\r calculated as the family share of farm income plus any wages (that are\r included as farm costs for taxation assessment) paid to the owner manager,\r spouse and dependant children, plus all off-farm income of owner manager and\r spouse. The data is reported at the Statistical Division (SD) level for\r Australia. This data relates to broadacre and dairy farms run by owner\r managers and has been collected by annual farm survey interview and is\r supplemented by information in the farm accounts. The data is presented at a\r scale of 25000000. The following attributes are contained within the dataset;\r Sd code a a unique 3 digit code for Statistical Divisions (SD), Sd name a the\r name of the Statistical Division (SD), Faminc a the average annual farm family\r income for the period 1996-1997 to 1998-1999. RSE a the relative standard\r error of the average farm equity ratio for the period 1996-1997 to 1998-1999.\r Ag_land_ha a hectares of agricultural land use in the Statistical Division\r (SD). Note that metropolitan areas are assigned a value of -99999, whilst\r areas with no data are assigned a value of -88888.\r \r See further metadata for more detail.\r \r

Disposable Personal Income in Australia increased to 427893 AUD Million in the second quarter of 2025 from 425287 AUD Million in the first quarter of 2025. This dataset provides - Australia Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2022, Sydney was listed as the second-least affordable city worldwide in terms of housing affordability, as well as the most unaffordable capital city for houses in Australia, with a median multiple house price relative to income value of ****, meaning that housing prices in Sydney were over ** times the average annual gross median household income.

AbstractTaxation Statistics 2020-21 is a continental dataset providing an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for the 2020-21 financial year.The dataset was compiled for the annual publication, Taxation Statistics, the ATO’s key statistical report. It provides a comprehensive statistical summary of information taxpayers report to the ATO. It includes information sourced from:The income tax returns of individuals, companies, super funds, partnerships and trusts.Annual returns for fringe benefits tax (FBT) and goods and services tax (GST).Business activity statements (BAS) and instalment activity statements (IAS).Schedules for rental properties, capital gains tax (CGT) and international dealings.Superannuation member contribution statements (MCS).Other information reported to the ATO in relation to excise, the pay as you go (PAYG) system, and charitable institutions.Previous versions of this dataset are available on the Australian Government open government data portal data.gov.auCurrencyDate Published: 07 March 2023Date Updated: 13 September 2024Modification Frequency: As neededData ExtentGeocentric Datum of Australia 1994 (GDA94)Spatial ExtentNorth: -9.1°South: -43.6°East: 159.1°West: 96.8°Source InformationData and Metadata are available from Taxation Statistics 2020-21 - Dataset - data.gov.auThe data was obtained from the Australian Taxation Office.Catalog Entry: Taxation Statistics 2020-21 | Datasets | data.gov.auLineage StatementThis layer was put together using two datasets. Australian taxation and income data provided by the Australian Taxation Office (ATO), was joined to the 2016 Postal Areas shapefile provided by the Australian Bureau of Statistics (ABS).Postal AreasPostal Areas (POA) are an ABS Mesh Block approximation of a general definition of postcodes. They enable comparison of ABS data with other data collected using postcodes as the geographic reference. ABS approximations of administrative boundaries do not match official legal boundaries exactly and should only be used for statistical purposes.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 2 - Postal AreasFurther information: Australian Statistical Geography Standard (ASGS) Edition 2 - Non ABS StructuresSource: Australian Bureau of Statistics (ABS)Data PreparationThe CSV was joined to the POA geographies using the 4 digit postcode. For the CSV, it was exported as a file geodatabase and a new field had to be generated where the postcodes were entered as text data to maintain the leading zeroes. The new text postcode field was then joined to the ABS POA_Name field.All data manipulations, joins, and spatial operations were performed using ArcGIS Pro 3.4.3.Data dictionaryAttribute nameDescriptionPostcodesThe postcode affiliated with that areaAREA_SQKMThe area in square kilometres of the postcodeAverage taxable income or lossThe average taxable income or loss of the postcodeNumber of individuals lodging an income tax returnThe number of individuals lodging a tax return in that postcodeCount taxable income or lossThe number of individuals reporting taxable income or loss in the postcodeMedian taxable income or lossThe median taxable income or loss of the postcodeProportion with salary or wagesThe proportion of individuals reporting salary or wages in the postcodeCount salary or wagesThe number of individuals reporting salary or wages in the postcodeAverage salary or wagesThe average salary or wages of the postcodeMedian salary or wagesThe median salary or wages of the postcodeProportion with net rentThe proportion of individuals reporting net rent in the postcodeCount net rentThe number of individuals reporting net rent in the postcodeAverage net rentThe average cost of net rent in the postcodeMedian net rentThe median net rent in the postcodeCount total income or lossThe number of individuals reporting total income or loss in the postcodeAverage total income or lossThe average total income or loss of the postcodeMedian total income or lossThe median total income or loss of the postcodeCount total deductionsCount of individuals reporting total deductions in the postcodeAverage total deductionsThe average total deductions of the postcodeMedian total deductionsThe median total deductions of the postcodeProportion with total business incomeThe proportion of individuals reporting business income in the postcodeCount total business incomeThe number of individuals reporting business income in the postcodeAverage total business incomeThe average total business income in the postcodeMedian total business incomeThe median total business income in the postcodeCount total business expensesThe number of individuals reporting business expenses in the postcodeAverage total business expensesThe average business expenses in the postcodeMedian total business expensesThe median business expenses in the postcodeProportion with net taxThe proportion of individuals with net tax in the postcodeCount net taxThe number of individuals with net tax in the postcodeAverage net taxThe average net tax in the postcodeMedian net taxThe median net tax in the postcodeCount super total accounts balanceThe total number of super accounts in the postcodeAverage super total accounts balanceThe average balance of super accounts in the postcodeMedian super total accounts balanceThe median balance of super accounts in the postcodeProportion with total business expensesThe proportion of individuals reporting business expenses in the postcodeSHAPE_LengthLength of polygon outlineSHAPE_AreaArea of the polygonContactAustralian Taxation Office, taxstats@ato.gov.au

Ever wondered how many people are unemployed and underemployed? Or how much the average Australian earns? Discover these latest stats and more.

As at February 2025, couples aged 25 to 34 years old in Sydney, Australia spent an average of around **** percent of their household income on mortgage repayments for an entry-priced house. In comparison, couples in the same age bracket in Darwin were spending around **** percent of their household income on mortgage repayments for a house.

The most common poverty measures, including that used by the OECD, focus on income based approaches. One of the most common measures of income poverty is the proportion of households with income less than half median equivalised disposable household income (which is set as the poverty line); this is a relative income poverty measure as poverty is measured by reference to the income of others rather than in some absolute sense. Australia has one of the highest household disposable incomes in the world, which means that an Australian relative income poverty line is set at a high level of income compared to most other countries.

OECD statistics on Australian poverty 2013–2014 (based on ABS Survey of Income and Housing data and applying a poverty line of 50% of median income) determined the Australian poverty rate was over 26% before taxes and transfers, but falls to just under 13% after taxes and transfers. Though measuring poverty through application of solely an income measure is not considered comprehensive for an Australian context, however, it does demonstrate that the Australian welfare system more than halves the number of Australians that would otherwise be considered as at risk of living in poverty under that measure.
It is important to consider a range of indicators of persistent disadvantage to understand poverty and hardship and its multidimensional nature. Different indicators point to different dimensions of poverty. While transient poverty is a problem, the experience of persistent poverty is of deeper concern, particularly where families experience intergenerational disadvantage and long-term welfare reliance. HILDA data from the Melbourne Institute of Applied Economic and Social Research shows the Distribution of number of years in poverty 2001–2015. The figure focuses on the longer term experience of working age adults and shows that while people do fall into poverty, only a small proportion of people are persistently poor.

This layer displays the percentage of drought risk by household income by ABARES AAGIS (Australian Agricultural and Grazing Industry Survey) regions as determined by Australian Bureau of Agricultural and Resource Economics and Science (ABARES).

This dataset comes from the “Measuring drought risk: The exposure and sensitivity of Australian farms to drought” research report authored by ABARES in 2020.

The variables in the dataset relate to Table 7 in the report (however the figures were updated in 2021), where drought year (drought_yr) refers to the percentage of farms with household income over $50,000 in a drought year and normal year (normal_yr) refers to to the percentage of farms with household income over $50,000 in a normal year which has been sourced from ABARES farmpredict model. Drought risk is defined as the percentage change in proportion of households with greater than $50,000 household income between normal and drought years.

BackgroundA lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (<21 teeth) and poor self-rated oral health) among Australian adults. Variations in the association between area-level income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared.MethodsFor the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs)) was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income.ResultsLGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87) after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality.ConclusionFindings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income inequality and inadequate dentition is likely due to the contextual differences between Australia and other high-income countries.