Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Australia Household Income per Capita
In 2024, the average annual wage in Australia had reached ******* Australian dollars. Since 2000, the average wage in Australia has increased by around ****** Australian dollars. Since 2018, the average wage in Australia has remained fairly stagnant.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Australia Monthly Earnings
The Average Salary chart presents a clear visualization of the salary progression for graduates from Hampden-Sydney College from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Hampden-Sydney College’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Hampden-Sydney College.
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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in Au Sable town. 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 town population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 94.74% of the total residents in Au Sable town. Notably, the median household income for White households is $102,045. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $102,045.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Sable town median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in Au Gres 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 Gres township population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 99.03% of the total residents in Au Gres township. Notably, the median household income for White households is $59,712. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $59,712.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Gres township median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Au Train township. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Au Train township. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2023
In terms of income distribution across age cohorts, in Au Train township, the median household income stands at $78,631 for householders within the 25 to 44 years age group, followed by $68,661 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $60,104.
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.
Age groups classifications include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Train township median household income by age. You can refer the same here
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.
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
covers 2004 to 2017 annual data source: Australian Bureau of Statistics cat no. 6333.0 tbls 3 and 4.
The house price-to-income ratio in Australia was ***** as of the first quarter of 2025. This ratio, calculated by dividing nominal house prices by nominal disposable income per head, increased from the previous quarter. The price-to-income ratio can be used to measure housing affordability in a specific area. Australia's property bubble There has been considerable debate over the past decade about whether Australia is in a property bubble or not. A property bubble refers to a sharp increase in the price of property that is disproportional to income and rental prices, followed by a decline. In Australia, rising house prices have undoubtedly been an issue for many potential homeowners, pricing them out of the market. Along with the average house price, high mortgage interest rates have exacerbated the issue. Is the homeownership dream out of reach? Housing affordability has varied across the different states and territories in Australia. In 2024, the median value of residential houses was the highest in Sydney compared to other major Australian cities, with Brisbane becoming an increasingly expensive city. Nonetheless, expected interest rate cuts in 2025, alongside the expansion of initiatives to improve Australia's dwelling stock, social housing supply, and first-time buyer accessibility to properties, may start to improve the situation. These encompass initiatives such as the Australian government's Help to Buy scheme and the Housing Australia Future Fund Facility (HAFFF) and National Housing Accord Facility (NHAF) programs.
Explore the progression of average salaries for graduates in Advanced Software Technologies (Also Possesses Au.S.Bachelor'Sequivalency In Electr. Engineering) from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Advanced Software Technologies (Also Possesses Au.S.Bachelor'Sequivalency In Electr. Engineering) relative to other fields. This data is essential for students assessing the return on investment of their education in Advanced Software Technologies (Also Possesses Au.S.Bachelor'Sequivalency In Electr. Engineering), providing a clear picture of financial prospects post-graduation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 Gres. 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 Gres, the median income for all workers aged 15 years and older, regardless of work hours, was $42,500 for males and $31,607 for females.
These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 26% between the median incomes of males and females in Au Gres. With women, regardless of work hours, earning 74 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Au Gres.
- Full-time workers, aged 15 years and older: In Au Gres, among full-time, year-round workers aged 15 years and older, males earned a median income of $94,318, while females earned $40,417, leading to a 57% gender pay gap among full-time workers. This illustrates that women earn 43 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 lower gender pay gap percentage. This indicates that Au Gres offers better opportunities for women in non-full-time positions.
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:
Employment type classifications include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Gres median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the mean household income for each of the five quintiles in Au Sable Township, Michigan, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income Levels:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Au Sable township median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 Statistical Area 2 (SA2) 2016 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Australia Household Income per Capita