As of August 2023, the mean weekly earnings of full-time employees in Australia were 1,885.6 Australian dollars. This is an increase of 62 Australian dollars a week.

Wages in Australia increased to 1510.90 AUD/Week in the fourth quarter of 2024 from 1480.90 AUD/Week in the second quarter of 2024. This dataset provides - Australia Average Weekly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

As of August 2023, the Australian Capital Territory had the highest mean weekly earnings of employees, with 1729.4 Australian dollars per week. Tasmania had the lowest mean weekly earnings, at 1358.7 Australian dollars per week.

Wages in Manufacturing in Australia increased to 1740.70 AUD/Week in the fourth quarter of 2024 from 1668.60 AUD/Week in the second quarter of 2024. This dataset provides - Australia Average Weekly Wages In Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

As of 2023, the mean weekly earnings of employees in Australia with a postgraduate degree were roughly 1,893 Australian dollars. Comparatively, the mean weekly earnings of people without non-school qualifications were less than 1000 Australian dollars.

As of November 2023, women working in the public sector in Australia earned on average approximately 1,592 Australian dollars per week compared to 2,034 Australian dollars for men. Pay disparity has become a prevalent issue in recent times, with many Australians supporting equality in terms of how much men and women are paid for the same job.

Australia Average Weekly Earning: Female data was reported at 1,270.700 AUD in Nov 2024. This records an increase from the previous number of 1,246.400 AUD for May 2024. Australia Average Weekly Earning: Female data is updated semiannually, averaging 744.200 AUD from Nov 1994 (Median) to Nov 2024, with 61 observations. The data reached an all-time high of 1,270.700 AUD in Nov 2024 and a record low of 425.600 AUD in Nov 1994. Australia Average Weekly Earning: Female 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.G056: Average Weekly Earning: ANZSIC 2006.

Since August 1986, the mean weekly earnings of female, part-time employees in Australia have exceeded those of their male equivalents. In August 2023, at 783.1 Australian dollars, the mean weekly earnings of a female part-time employee in Australia were 61.4 Australian dollars more than an equivalent male's weekly earnings.

Australia Weekly Gross Income: 2011-12p: Median: One Family: Other data was reported at 2,050.000 AUD in 2012. This records an increase from the previous number of 1,780.000 AUD for 2010. Australia Weekly Gross Income: 2011-12p: Median: One Family: Other data is updated yearly, averaging 1,594.000 AUD from Jun 2001 (Median) to 2012, with 7 observations. The data reached an all-time high of 2,050.000 AUD in 2012 and a record low of 1,261.000 AUD in 2004. Australia Weekly Gross Income: 2011-12p: Median: One Family: Other 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.H031: Survey of Income and Housing: Gross Household Income: by Family Composition.

Australia Weekly Gross Income: 2015-16p: Median data was reported at 1,616,000.000 AUD in 2016. Australia Weekly Gross Income: 2015-16p: Median data is updated yearly, averaging 1,616,000.000 AUD from Jun 2016 (Median) to 2016, with 1 observations. The data reached an all-time high of 1,616,000.000 AUD in 2016 and a record low of 1,616,000.000 AUD in 2016. Australia Weekly Gross Income: 2015-16p: Median 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.H031: Survey of Income and Housing: Gross Household Income: by Family Composition. Rebased from 2015-16p to 2017-18p. Replacement series ID: 418996897

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.

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

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Au Sable town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Au Sable town, the median income for all workers aged 15 years and older, regardless of work hours, was $57,063 for males and $37,022 for females.

These income figures highlight a substantial gender-based income gap in Au Sable town. Women, regardless of work hours, earn 65 cents for each dollar earned by men. This significant gender pay gap, approximately 35%, underscores concerning gender-based income inequality in the town of Au Sable town.

- Full-time workers, aged 15 years and older: In Au Sable town, among full-time, year-round workers aged 15 years and older, males earned a median income of $73,646, while females earned $56,721, leading to a 23% gender pay gap among full-time workers. This illustrates that women earn 77 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Au Sable town.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 town median household income by race. You can refer the same here

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.

This dataset presents data on income (including Government allowances) available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Local Government Area (LGA) 2019 boundaries. The dataset includes information in the following specified areas of income: Estimates of Personal Income, Gross Capital Gains, Selected Government Pensions and Allowances, Total Personal Income (Weekly) and Equivalised Total Household Income. Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available. For more information please visit the Explanatory Notes.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Au Train township. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Au Train township, the median income for all workers aged 15 years and older, regardless of work hours, was $45,650 for males and $21,181 for females.

These income figures highlight a substantial gender-based income gap in Au Train township. Women, regardless of work hours, earn 46 cents for each dollar earned by men. This significant gender pay gap, approximately 54%, underscores concerning gender-based income inequality in the township of Au Train township.

- Full-time workers, aged 15 years and older: In Au Train township, among full-time, year-round workers aged 15 years and older, males earned a median income of $62,500, while females earned $42,350, leading to a 32% gender pay gap among full-time workers. This illustrates that women earn 68 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Au Train township, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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

Dataset

This dataset was created by Varun Shrilal

Contents

Australia Weekly Gross Income: 2013-14p: Median: One Family: Other data was reported at 2,114.954 AUD in 2014. Australia Weekly Gross Income: 2013-14p: Median: One Family: Other data is updated yearly, averaging 2,114.954 AUD from Jun 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 2,114.954 AUD in 2014 and a record low of 2,114.954 AUD in 2014. Australia Weekly Gross Income: 2013-14p: Median: One Family: Other 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.H031: Survey of Income and Housing: Gross Household Income: by Family Composition.

Australia Weekly Gross Income: 2015-16p: Mean: One Family: Other data was reported at 2,581,000.000 AUD in 2016. Australia Weekly Gross Income: 2015-16p: Mean: One Family: Other data is updated yearly, averaging 2,581,000.000 AUD from Jun 2016 (Median) to 2016, with 1 observations. The data reached an all-time high of 2,581,000.000 AUD in 2016 and a record low of 2,581,000.000 AUD in 2016. Australia Weekly Gross Income: 2015-16p: Mean: One Family: Other 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.H031: Survey of Income and Housing: Gross Household Income: by Family Composition.

Australia Average Weekly Household Expenditure: Income Tax data was reported at 383.260 AUD in 2016. This records an increase from the previous number of 260.190 AUD for 2010. Australia Average Weekly Household Expenditure: Income Tax data is updated yearly, averaging 178.540 AUD from Jun 1984 (Median) to 2016, with 7 observations. The data reached an all-time high of 383.260 AUD in 2016 and a record low of 80.070 AUD in 1984. Australia Average Weekly Household Expenditure: Income Tax 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.H043: Household Expenditure Survey.