In financial year 2020, over 460 thousand households in Australia had a gross weekly household income of 6,000 Australian dollars or more. On the other end of the spectrum, over 30,000 households had a negative income and around over 32,000 had no income.

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 G20 countries, the share of the population that earned at least the equivalent of the highest 10 percent of global income earners as of 2022 in purchasing power parity (PPP) terms varies from over two thirds in Australia to only *** percent in Indonesia. The United States recorded the second-highest upper-class share of the G20 countries. However, looking at for instance China, approximately ** percent of the population counts as middle class or above, whereas just ***** percent counts as upper class or higher.

In 2022, the wealthiest top one percent of Australians held *** percent of the national income. The bottom ** percent of Australians had **** percent of the national income.

About this dataset

Context

The dataset presents the median household income across different racial categories in Au Sable township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Au Sable township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 91.48% of the total residents in Au Sable township. Notably, the median household income for White households is $43,958. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $43,958.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Au Sable township.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Au Sable township median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Au Gres. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Au Gres population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 87.27% of the total residents in Au Gres. Notably, the median household income for White households is $68,571. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $68,571.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Au Gres.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Au Gres median household income by race. You can refer the same here

This dataset presents aggregated values of Income Distribution as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 and is aggregated to the 2016 Statistical Area Level 2 (SA2) boundaries.

This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release:

• Employee Income

• Own Unincorporated Business Income

• Investment Income

• Superannuation Income

• Other Income (Income not allocatable to any other categories)

• Total Income (Sum of previous categories) These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS): Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA).

For more information on the release please visit the Australian Bureau of Statistics.

Please note:

• When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS.

• To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released.

• Where data is not available or not for publication, the record has been set to a null value.

This dataset presents aggregated values of Other Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 …Show full descriptionThis dataset presents aggregated values of Other Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Statistical Area Level 4 (SA4) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income Investment Income Superannuation Income Other Income (Income not allocatable to any other categories) Total Income (Sum of previous categories) These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS): Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA). For more information on the release please visit the Australian Bureau of Statistics. Please note: When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS. To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released. Where data is not available or not for publication, the record has been set to a null value. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

This dataset presents aggregated values of the Total Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Local Government Area (LGA) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income

This dataset presents aggregated values of Investment Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to …Show full descriptionThis dataset presents aggregated values of Investment Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Greater Capital City Statistical Area (GCCSA) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income Investment Income Superannuation Income Other Income (Income not allocatable to any other categories) Total Income (Sum of previous categories) These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS): Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA). For more information on the release please visit the Australian Bureau of Statistics. Please note: When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS. To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released. Where data is not available or not for publication, the record has been set to a null value. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

This dataset presents aggregated values of Employee Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Greater Capital City Statistical Area (GCCSA) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income

Australia Life Insurance: Gross Policy Revenue: by Business Class: Superannuation: Group Disability Income Insurance data was reported at 660,220.882 AUD th in Jun 2023. This records an increase from the previous number of 640,049.926 AUD th for Mar 2023. Australia Life Insurance: Gross Policy Revenue: by Business Class: Superannuation: Group Disability Income Insurance data is updated quarterly, averaging 503,186.088 AUD th from Mar 2013 (Median) to Jun 2023, with 42 observations. The data reached an all-time high of 667,385.007 AUD th in Sep 2022 and a record low of 293,148.647 AUD th in Mar 2013. Australia Life Insurance: Gross Policy Revenue: by Business Class: Superannuation: Group Disability Income Insurance data remains active status in CEIC and is reported by Australian Prudential Regulation Authority. The data is categorized under Global Database’s Australia – Table AU.RG017: Life Insurance: Gross Policy Revenue by Product Group (Discontinued).

This dataset presents aggregated values of Employee Income by Occupation and Age as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Statistical Area Level 4 (SA4) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income

This dataset presents aggregated values of Employee Income by Age and Sex as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of …Show full descriptionThis dataset presents aggregated values of Employee Income by Age and Sex as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Greater Capital City Statistical Area (GCCSA) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income Investment Income Superannuation Income Other Income (Income not allocatable to any other categories) Total Income (Sum of previous categories) These statistics provide insights into the nature of regional economies and the economic well-being of the people who live there. The data has been sourced from the Australian Taxation Office (ATO) and is presented with the updated 2016 editions of the Australian Statistical Geography Standards (ASGS): Statistical Area Level 2 (SA2); Statistical Area Level 3 (SA3); Statistical Area Level 4 (SA4); Greater Capital City Statistical Area (GCCSA) and Local Government Area (LGA). For more information on the release please visit the Australian Bureau of Statistics. Please note: When interpreting these results, it should be noted that some low income earners, for example those receiving Government pensions and allowances, or those who earned below the tax free threshold, may not be present in the data, as they may not be required to lodge personal tax forms. Other individuals may not lodge a tax return even if required, therefore care should be taken in interpreting the data as well as comparing the data in this publication with other income data produced by the ABS. To minimise the risk of identifying individuals in aggregate statistics, a confidentialisation process called perturbation has been applied to the data. Perturbation involves small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released. Where data is not available or not for publication, the record has been set to a null value. Copyright attribution: Government of the Commonwealth of Australia - Australian Bureau of Statistics, (2017): ; accessed from AURIN on 12/16/2021. Licence type: Creative Commons Attribution 2.5 Australia (CC BY 2.5 AU)

Australia Life Insurance: Gross Policy Revenue: by Business Class: Superannuation: Individual Disability Income Insurance data was reported at 215,681.349 AUD th in Jun 2023. This records an increase from the previous number of 206,016.652 AUD th for Mar 2023. Australia Life Insurance: Gross Policy Revenue: by Business Class: Superannuation: Individual Disability Income Insurance data is updated quarterly, averaging 148,748.388 AUD th from Mar 2013 (Median) to Jun 2023, with 42 observations. The data reached an all-time high of 216,918.630 AUD th in Dec 2022 and a record low of 49,432.159 AUD th in Mar 2013. Australia Life Insurance: Gross Policy Revenue: by Business Class: Superannuation: Individual Disability Income Insurance data remains active status in CEIC and is reported by Australian Prudential Regulation Authority. The data is categorized under Global Database’s Australia – Table AU.RG017: Life Insurance: Gross Policy Revenue by Product Group (Discontinued).

About this dataset

Context

The dataset presents the median household income across different racial categories in Au Train township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Au Train township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 90.97% of the total residents in Au Train township. Notably, the median household income for White households is $67,292. Interestingly, despite the White population being the most populous, it is worth noting that Two or More Races households actually reports the highest median household income, with a median income of $73,173. This reveals that, while Whites may be the most numerous in Au Train township, Two or More Races households experience greater economic prosperity in terms of median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Au Train township.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Au Train township median household income by race. You can refer the same here

This dataset presents aggregated values of Other Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Greater Capital City Statistical Area (GCCSA) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income

This dataset presents aggregated values of Employee Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Statistical Area Level 4 (SA4) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income

This dataset presents aggregated values of Investment Income as a category of the estimates of Personal Income for Small Areas ABS release. The data spans over the financial years of 2010-11 to 2014-15 and is aggregated to the 2016 Statistical Area Level 2 (SA2) boundaries. This release presents regional data on the number of income earners, amounts they receive, and the distribution of income for the 2010-11 to 2014-15 financial years. An improved geocoding process has been introduced for this release. As such, previously released estimates for the 2010-11 and 2012-13 financial year have been superseded. The following personal income categories are provided in this census release: Employee Income Own Unincorporated Business Income

3 major objectives. ( 1 ): To replicate the 1965 base line study of Australian stratification and mobility SSDA study nr.7. ( 2 ): To get more insight into social mobility and social stratification in Australia beyond the fairly restricted findings of the 1965 baseline. ( 3 ): Comparison with both first and second generations of national surveys in other countries. Occupational history details are available for respondent, respondent's father, and respondent's children 21 years and over. All occupational variables have been coded according to the Australian census classification of occupations, 1971 and the Australian census classification of occupations by status score ( ANU2 )/ dates and duration of all study undertaken, and occupational data for several career points/ a special section for women on employment intentions and preferences/ and images of society and class ideology. Data also on age / birthplace / marital status / residence / ownership of house / characteristics of parental household and respondent's household / income / party preference / religion / consumption of durables / trade union membership / war service / internal / external control / job satisfaction / retirement. Background variables: basic characteristics/ place of birth/ residence/ housing situation/ household characteristics/ characteristics of parental family/household/ occupation/employment/ income/capital assets/ education/ social class/ politics/ religion/ consumption of durables