100+ datasets found
  1. Average annual wage in Australia 2000-2024

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Average annual wage in Australia 2000-2024 [Dataset]. https://www.statista.com/statistics/557727/australia-average-annual-wage/
    Explore at:
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    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.

  2. Annual wage growth Australia 2000-2025

    • statista.com
    Updated May 14, 2025
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    Statista (2025). Annual wage growth Australia 2000-2025 [Dataset]. https://www.statista.com/statistics/1324471/australia-annual-wage-growth-wpi/
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    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    Between March 2024 and March 2025, wages in Australia declined by around 0.6 percent. Wage growth in recent years has been relatively low in comparison to previous years, in particular in December 2020, which only saw a wage growth of 1.3%. Inflation and CPI outstripping wages While wages have increased in Australia, they have still not matched the rate of inflation, which was sitting at 2.4 percent at the end of 2024, down from a high of 7.8 percent at the end of 2022. The high cost of goods has also put pressure on the public, with the Consumer Price Index standing at around 139.4 points, compared to a base year of 2011-12. Rent is on the rise As with many around the world, Australians are also feeling the costs of rent increases. The majority of people in Australia perceive that the cost of rent has risen significantly in their local area. This in turn has seen the government expenditure on rental assistance continue to be high, with around 4.7 billion Australian dollars spent to assist the Australian public in maintaining their housing needs.

  3. T

    Australia Average Weekly Wages

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Feb 25, 2025
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    TRADING ECONOMICS (2025). Australia Average Weekly Wages [Dataset]. https://tradingeconomics.com/australia/wages
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 30, 1969 - Dec 31, 2024
    Area covered
    Australia
    Description

    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.

  4. Australia Household Income per Capita

    • ceicdata.com
    Updated Dec 15, 2018
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    CEICdata.com (2018). Australia Household Income per Capita [Dataset]. https://www.ceicdata.com/en/indicator/australia/annual-household-income-per-capita
    Explore at:
    Dataset updated
    Dec 15, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2000 - Jun 1, 2020
    Area covered
    Australia
    Description

    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.

  5. Annual wage growth Australia 2025 by state/territory

    • statista.com
    Updated Mar 15, 2025
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    Statista (2025). Annual wage growth Australia 2025 by state/territory [Dataset]. https://www.statista.com/statistics/1324539/australia-annual-wage-growth-by-state-territory/
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    Between March 2024 and March 2025, wages in the Australian Capital Territory grew by an average of 3.9 percent. Average wage growth across all states and territories measured around 3.4 percent during the time period. New South Wales experienced the lowest average wage growth during the period, with 3.1 percent.

  6. Australia Monthly Earnings

    • ceicdata.com
    • dr.ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Australia Monthly Earnings [Dataset]. https://www.ceicdata.com/en/indicator/australia/monthly-earnings
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2019 - Nov 1, 2024
    Area covered
    Australia
    Description

    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

  7. Annual wage growth by industry Australia 2025

    • statista.com
    Updated Aug 7, 2022
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    Statista (2022). Annual wage growth by industry Australia 2025 [Dataset]. https://www.statista.com/statistics/1324528/australia-annual-wage-growth-by-industry/
    Explore at:
    Dataset updated
    Aug 7, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    Between March 2024 and March 2025, wages in the professional, scientific, and technical services in Australia grew by around 2.9 percent. The electricity, gas, water and waste services industry had the highest wage growth, with an annual change of 4.4 percent.

  8. Australia AU: Wages Index

    • ceicdata.com
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    CEICdata.com, Australia AU: Wages Index [Dataset]. https://www.ceicdata.com/en/australia/wages-labour-cost-and-employment-index-annual/au-wages-index
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Australia
    Variables measured
    Wage/Earnings
    Description

    Australia Wages Index data was reported at 130.612 2010=100 in 2021. This records an increase from the previous number of 128.136 2010=100 for 2020. Australia Wages Index data is updated yearly, averaging 98.358 2010=100 from Dec 1998 (Median) to 2021, with 24 observations. The data reached an all-time high of 130.612 2010=100 in 2021 and a record low of 65.270 2010=100 in 1998. Australia Wages Index data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Australia – Table AU.IMF.IFS: Wages, Labour Cost and Employment Index: Annual.

  9. Australia Employee Income: Average: Western Australia

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Australia Employee Income: Average: Western Australia [Dataset]. https://www.ceicdata.com/en/australia/employee-income/employee-income-average-western-australia
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2011 - Jun 1, 2022
    Area covered
    Australia
    Variables measured
    Wage/Earnings
    Description

    Employee Income: Average: Western Australia data was reported at 75,363.000 AUD in 2022. This records an increase from the previous number of 73,026.000 AUD for 2021. Employee Income: Average: Western Australia data is updated yearly, averaging 66,448.500 AUD from Jun 2011 (Median) to 2022, with 12 observations. The data reached an all-time high of 75,363.000 AUD in 2022 and a record low of 55,079.000 AUD in 2011. Employee Income: Average: Western Australia 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.G064: Employee Income.

  10. W

    Annual Family Income, 1996-1997 to 1998-1999 (Three Year Average)

    • cloud.csiss.gmu.edu
    • data.gov.au
    • +1more
    geojson, shp, wfs +1
    Updated Dec 14, 2019
    + more versions
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    Australia (2019). Annual Family Income, 1996-1997 to 1998-1999 (Three Year Average) [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/annual-family-income-1996-1997-to-1998-1999-three-year-average
    Explore at:
    wfs, shp(3097567), wms, geojsonAvailable download formats
    Dataset updated
    Dec 14, 2019
    Dataset provided by
    Australia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

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

    See further metadata for more detail.

  11. Average monthly net salary APAC 2019-2023, by country

    • statista.com
    • ai-chatbox.pro
    Updated Jun 24, 2025
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    Statista (2025). Average monthly net salary APAC 2019-2023, by country [Dataset]. https://www.statista.com/statistics/1402390/apac-average-monthly-net-salary-by-country/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Asia–Pacific
    Description

    As of the first half of 2023, Australia had the highest net salaries in the Asia-Pacific region at an average ***** U.S. dollars per month. In contrast, the average monthly net salary in Pakistan amounted to *** U.S. dollars per month in the same period.

  12. N

    Au Gres, MI annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Au Gres, MI annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/au-gres-mi-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Au Gres, Michigan
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    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 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.

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

  13. A

    Australia Weekly Gross Income: 2011-12p: Median: One Family: Other

    • ceicdata.com
    Updated Feb 13, 2018
    + more versions
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    CEICdata.com (2018). Australia Weekly Gross Income: 2011-12p: Median: One Family: Other [Dataset]. https://www.ceicdata.com/en/australia/survey-of-income-and-housing-gross-household-income-by-family-composition/weekly-gross-income-201112p-median-one-family-other
    Explore at:
    Dataset updated
    Feb 13, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2001 - Jun 1, 2012
    Area covered
    Australia
    Variables measured
    Household Income and Expenditure Survey
    Description

    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.

  14. d

    Average hourly earnings of female and male employees by occupation

    • data.gov.au
    • cloud.csiss.gmu.edu
    • +1more
    csv
    Updated Aug 9, 2023
    + more versions
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    Sustainable Development Goals (2023). Average hourly earnings of female and male employees by occupation [Dataset]. https://data.gov.au/data/dataset/average-hourly-earnings-of-female-and-male-employees-by-occupation
    Explore at:
    csv(1152), csv(3320)Available download formats
    Dataset updated
    Aug 9, 2023
    Dataset authored and provided by
    Sustainable Development Goals
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    covers 2004 to 2017 annual data source: Australian Bureau of Statistics cat no. 6333.0 tbls 3 and 4.

  15. N

    Au Sable, New York annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Au Sable, New York annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a4ffe09c-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New York, Au Sable
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    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

  16. N

    Au Train Township, Michigan annual median income by work experience and sex...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Au Train Township, Michigan annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a4ffe18f-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Au Train Township, Michigan
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    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

  17. Australia Average Annualised Wage Increases: Federal Agreement: Current:...

    • ceicdata.com
    + more versions
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    CEICdata.com, Australia Average Annualised Wage Increases: Federal Agreement: Current: South Australia [Dataset]. https://www.ceicdata.com/en/australia/average-annualized-wage-increases-federal-agreement-by-state/average-annualised-wage-increases-federal-agreement-current-south-australia
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2021 - Sep 1, 2024
    Area covered
    Australia
    Variables measured
    Wage/Earnings
    Description

    Average Annualised Wage Increases: Federal Agreement: Current: South Australia data was reported at 4.200 % in Dec 2024. This records an increase from the previous number of 4.100 % for Sep 2024. Average Annualised Wage Increases: Federal Agreement: Current: South Australia data is updated quarterly, averaging 3.650 % from Mar 2005 (Median) to Dec 2024, with 80 observations. The data reached an all-time high of 4.900 % in Dec 2005 and a record low of 2.500 % in Sep 2022. Average Annualised Wage Increases: Federal Agreement: Current: South Australia data remains active status in CEIC and is reported by Department of Employment and Workplace Relations. The data is categorized under Global Database’s Australia – Table AU.G107: Average Annualized Wage Increases: Federal Agreement: by State.

  18. N

    Au Sable charter Township, Michigan annual median income by work experience...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
    Share
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    Neilsberg Research (2025). Au Sable charter Township, Michigan annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a4ffe023-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Au Sable Township, Michigan
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    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 charter 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 Sable charter township, the median income for all workers aged 15 years and older, regardless of work hours, was $29,565 for males and $21,445 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 27% between the median incomes of males and females in Au Sable charter township. With women, regardless of work hours, earning 73 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetownship of Au Sable charter township.

    - Full-time workers, aged 15 years and older: In Au Sable charter township, among full-time, year-round workers aged 15 years and older, males earned a median income of $58,104, while females earned $45,278, leading to a 22% gender pay gap among full-time workers. This illustrates that women earn 78 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.

    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 Sable charter 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 Sable charter township median household income by race. You can refer the same here

  19. A

    Australia Average Weekly Household Expenditure: Income Tax

    • ceicdata.com
    Updated Mar 19, 2025
    Share
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    CEICdata.com (2025). Australia Average Weekly Household Expenditure: Income Tax [Dataset]. https://www.ceicdata.com/en/australia/household-expenditure-survey/average-weekly-household-expenditure-income-tax
    Explore at:
    Dataset updated
    Mar 19, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 1984 - Jun 1, 2016
    Area covered
    Australia
    Variables measured
    Household Income and Expenditure Survey
    Description

    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.

  20. T

    WAGE GROWTH by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 2, 2015
    + more versions
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    TRADING ECONOMICS (2015). WAGE GROWTH by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/wage-growth
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jul 2, 2015
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for WAGE GROWTH reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Share
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Email
Click to copy link
Link copied
Close
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Statista (2025). Average annual wage in Australia 2000-2024 [Dataset]. https://www.statista.com/statistics/557727/australia-average-annual-wage/
Organization logo

Average annual wage in Australia 2000-2024

Explore at:
Dataset updated
Jul 2, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Australia
Description

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.

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