50 datasets found
  1. Annual wage growth Australia 2025 by state/territory

    • statista.com
    Updated Jul 23, 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/
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    Dataset updated
    Jul 23, 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.

  2. 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.

  3. Annual wage growth Australia 2000-2025

    • statista.com
    Updated Jul 23, 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
    Jul 23, 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.

  4. 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
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    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

  5. T

    Australia Annual Change in Hourly Rates of Pay

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 14, 2025
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    TRADING ECONOMICS (2025). Australia Annual Change in Hourly Rates of Pay [Dataset]. https://tradingeconomics.com/australia/wage-growth
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    May 14, 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, 1998 - Mar 31, 2025
    Area covered
    Australia
    Description

    Wages in Australia increased 3.40 percent in March of 2025 over the same month in the previous year. This dataset provides - Australia Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. Annual wage growth by industry Australia 2025

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Annual wage growth by industry Australia 2025 [Dataset]. https://www.statista.com/statistics/1324528/australia-annual-wage-growth-by-industry/
    Explore at:
    Dataset updated
    Jul 24, 2025
    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.

  7. T

    Australia Average Weekly Wages In Manufacturing

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Australia Average Weekly Wages In Manufacturing [Dataset]. https://tradingeconomics.com/australia/wages-in-manufacturing
    Explore at:
    json, csv, excel, xmlAvailable download formats
    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
    Dec 31, 1983 - Dec 31, 2024
    Area covered
    Australia
    Description

    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.

  8. 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.

  9. First home buyer income share spent on home mortgage payments Australia...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). First home buyer income share spent on home mortgage payments Australia 2025, by city [Dataset]. https://www.statista.com/statistics/1445873/australia-first-home-buyer-household-income-share-spent-on-house-mortgage-repayments-by-city/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    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.

  10. Australia National Minimum Hourly Wage Rate

    • ceicdata.com
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    CEICdata.com, Australia National Minimum Hourly Wage Rate [Dataset]. https://www.ceicdata.com/en/australia/national-minimum-wage-rate/national-minimum-hourly-wage-rate
    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
    Apr 1, 2024 - Mar 1, 2025
    Area covered
    Australia
    Variables measured
    Wage/Earnings
    Description

    Australia National Minimum Hourly Wage Rate data was reported at 24.100 AUD in May 2025. This stayed constant from the previous number of 24.100 AUD for Apr 2025. Australia National Minimum Hourly Wage Rate data is updated monthly, averaging 18.290 AUD from Jul 2010 (Median) to May 2025, with 179 observations. The data reached an all-time high of 24.100 AUD in May 2025 and a record low of 15.000 AUD in Jun 2011. Australia National Minimum Hourly Wage Rate data remains active status in CEIC and is reported by Fair Work Commission. The data is categorized under Global Database’s Australia – Table AU.G054: National Minimum Wage Rate.

  11. Hourly national minimum wage in Australia 2014-2025

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Hourly national minimum wage in Australia 2014-2025 [Dataset]. https://www.statista.com/statistics/1170500/australia-national-hourly-minimum-wage/
    Explore at:
    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    As of July 1, 2025, the national hourly minimum wage in Australia was ***** Australian dollars. This represents an increase of **** Australian dollars compared to 2020, and continues the pattern of year on year growth.

  12. T

    Australia Minimum Weekly Wage

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 3, 2025
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    TRADING ECONOMICS (2025). Australia Minimum Weekly Wage [Dataset]. https://tradingeconomics.com/australia/minimum-wages
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 3, 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
    Oct 1, 2007 - Jul 1, 2025
    Area covered
    Australia
    Description

    Minimum Wages in Australia increased to 948 AUD/week in 2025 from 915.90 AUD/week in 2024. This dataset provides - Australia Minimum Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. 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

  14. Australia AU: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male...

    • ceicdata.com
    Updated May 4, 2006
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    CEICdata.com (2006). Australia AU: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment [Dataset]. https://www.ceicdata.com/en/australia/employment-and-unemployment/au-wage-and-salary-workers-modeled-ilo-estimate-male--of-male-employment
    Explore at:
    Dataset updated
    May 4, 2006
    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, 2012 - Dec 1, 2023
    Area covered
    Australia
    Variables measured
    Employment
    Description

    Australia Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data was reported at 83.629 % in 2023. This records an increase from the previous number of 83.378 % for 2022. Australia Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data is updated yearly, averaging 81.690 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 83.629 % in 2023 and a record low of 79.741 % in 2004. Australia Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Employment and Unemployment. Wage and salaried workers (employees) are those workers who hold the type of jobs defined as 'paid employment jobs,' where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.;International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;

  15. N

    Au Train Township, Michigan Median Income by Age Groups Dataset: A...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). Au Train Township, Michigan Median Income by Age Groups Dataset: A Comprehensive Breakdown of Au Train township Annual Median Income Across 4 Key Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e91db6ac-f353-11ef-8577-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 25, 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 householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 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.

    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.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

    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 age. You can refer the same here

  16. First home buyer income share spent on unit mortgage payments Australia...

    • statista.com
    Updated Apr 25, 2025
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    Statista (2025). First home buyer income share spent on unit mortgage payments Australia 2025, by city [Dataset]. https://www.statista.com/statistics/1447586/australia-first-home-buyer-household-income-share-spent-on-unit-mortgage-repayments-by-city/
    Explore at:
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    As at February 2025, couples aged 25 to 34 years old in Sydney, Australia spent an average of around 35.8 percent of their household income on mortgage repayments for an entry-priced unit. In comparison, couples in the same age bracket in Perth were spending around 23.7 percent of their household income on mortgage repayments for a unit.

  17. N

    Au Gres, MI Median Income by Age Groups Dataset: A Comprehensive Breakdown...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). Au Gres, MI Median Income by Age Groups Dataset: A Comprehensive Breakdown of Au Gres Annual Median Income Across 4 Key Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/au-gres-mi-median-household-income-by-age/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 25, 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 householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 the distribution of median household income among distinct age brackets of householders in Au Gres. 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 Gres. 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 Gres, the median household income stands at $70,938 for householders within the 45 to 64 years age group, followed by $62,750 for the 65 years and over age group. Notably, householders within the 25 to 44 years age group, had the lowest median household income at $54,659.

    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.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

    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 age. You can refer the same here

  18. N

    Income Distribution by Quintile: Mean Household Income in Au Sable Township,...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Income Distribution by Quintile: Mean Household Income in Au Sable Township, Michigan // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/au-sable-township-mi-median-household-income/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 3, 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 Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 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

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 8,509, while the mean income for the highest quintile (20% of households with the highest income) is 131,533. This indicates that the top earners earn 15 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 197,858, which is 150.42% higher compared to the highest quintile, and 2325.28% higher compared to the lowest quintile.
    Content

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

    Income Levels:

    • Lowest Quintile
    • Second Quintile
    • Third Quintile
    • Fourth Quintile
    • Highest Quintile
    • Top 5 Percent

    Variables / Data Columns

    • Income Level: This column showcases the income levels (As mentioned above).
    • Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

    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. You can refer the same here

  19. N

    Au Sable, New York Median Income by Age Groups Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). Au Sable, New York Median Income by Age Groups Dataset: A Comprehensive Breakdown of Au Sable town Annual Median Income Across 4 Key Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e91db4a7-f353-11ef-8577-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 25, 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 householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 the distribution of median household income among distinct age brackets of householders in Au Sable town. 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 Sable town. 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 Sable town, the median household income stands at $121,563 for householders within the 25 to 44 years age group, followed by $100,455 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 $65,400.

    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.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

    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 age. You can refer the same here

  20. N

    Au Gres, MI annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Au Gres, MI annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/au-gres-mi-income-by-gender/
    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 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, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. 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 the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Au Gres. The dataset can be utilized to gain insights into gender-based income distribution within the Au Gres population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Au Gres, among individuals aged 15 years and older with income, there were 408 men and 375 women in the workforce. Among them, 114 men were engaged in full-time, year-round employment, while 69 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 3.51% fell within the income range of under $24,999, while none of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 47.37% of men in full-time roles earned incomes exceeding $100,000, while none of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)
    Content

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

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    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.

    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

Share
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Link copied
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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/
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Annual wage growth Australia 2025 by state/territory

Explore at:
Dataset updated
Jul 23, 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.

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