100+ datasets found
  1. Average annual earnings for full-time employees in the UK 2024, by age and...

    • statista.com
    • ai-chatbox.pro
    Updated Dec 16, 2024
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    Statista (2024). Average annual earnings for full-time employees in the UK 2024, by age and gender [Dataset]. https://www.statista.com/statistics/802183/annual-pay-employees-in-the-uk/
    Explore at:
    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    In 2024 men aged between 50 and 59 were the highest full-time earners in the United Kingdom among different gender and age groups, with men of different ages consistently earning more than women.

  2. F

    Real Median Personal Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Real Median Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEPAINUSA672N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

  3. U.S. male workers median hourly earnings 2023, by age

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). U.S. male workers median hourly earnings 2023, by age [Dataset]. https://www.statista.com/statistics/185366/median-hourly-earnings-of-male-wage-and-salary-workers-by-age/
    Explore at:
    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the hourly earning of a man in the United States between 20 and 24 years old amounted to 17.13 U.S. dollars. Men between the ages of 45 and 54 years old earned the most in that year, with a median hourly wage of 22.79 current U.S. dollars.

  4. Brazil Average Real Monthly Income: Usual Earnings: Southeast: 40 to 49...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Brazil Average Real Monthly Income: Usual Earnings: Southeast: 40 to 49 Years [Dataset]. https://www.ceicdata.com/en/brazil/average-real-monthly-household-income-usual-earning-by-age-southeast/average-real-monthly-income-usual-earnings-southeast-40-to-49-years
    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
    Dec 1, 2016 - Dec 1, 2017
    Area covered
    Brazil
    Description

    Brazil Average Real Monthly Income: Usual Earnings: Southeast: 40 to 49 Years data was reported at 2,636.000 BRL in 2017. This records a decrease from the previous number of 2,720.000 BRL for 2016. Brazil Average Real Monthly Income: Usual Earnings: Southeast: 40 to 49 Years data is updated yearly, averaging 2,678.000 BRL from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 2,720.000 BRL in 2016 and a record low of 2,636.000 BRL in 2017. Brazil Average Real Monthly Income: Usual Earnings: Southeast: 40 to 49 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Domestic Trade and Household Survey – Table BR.HF054: Average Real Monthly Household Income: Usual Earning: by Age: Southeast.

  5. F

    Employed full time: Median usual weekly real earnings: Wage and salary...

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LES1252881600Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over (LES1252881600Q) from Q1 1979 to Q1 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

  6. U.S. median household income by age 2023

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. median household income by age 2023 [Dataset]. https://www.statista.com/statistics/233184/median-household-income-in-the-united-states-by-age/
    Explore at:
    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the real median household income for householders aged 15 to 24 was at 54,930 U.S. dollars. The highest median household income was found amongst those aged between 45 and 54. Household median income for the United States since 1990 can be accessed here.

  7. Income of individuals by age group, sex and income source, Canada, provinces...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated May 1, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas [Dataset]. http://doi.org/10.25318/1110023901-eng
    Explore at:
    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

  8. T

    China Average Yearly Wages

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). China Average Yearly Wages [Dataset]. https://tradingeconomics.com/china/wages
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Dec 15, 2024
    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, 1952 - Dec 31, 2024
    Area covered
    China
    Description

    Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  9. N

    Sidney, OH annual median income by work experience and sex dataset : Aged...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
    + more versions
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    Neilsberg Research (2024). Sidney, OH annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/95333b8f-9816-11ee-99cf-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 9, 2024
    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
    Sidney, Ohio
    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) 2010-2022 5-Year Estimates. To portray the income for both the genders (Male and Female), we conducted an initial analysis and categorization of the data. 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 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 Sidney. 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 2021

    Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Sidney, the median income for all workers aged 15 years and older, regardless of work hours, was $46,786 for males and $26,272 for females.

    These income figures highlight a substantial gender-based income gap in Sidney. Women, regardless of work hours, earn 56 cents for each dollar earned by men. This significant gender pay gap, approximately 44%, underscores concerning gender-based income inequality in the city of Sidney.

    - Full-time workers, aged 15 years and older: In Sidney, among full-time, year-round workers aged 15 years and older, males earned a median income of $60,553, while females earned $36,376, leading to a 40% gender pay gap among full-time workers. This illustrates that women earn 60 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 Sidney, showcasing a consistent income pattern irrespective of employment status.

    https://i.neilsberg.com/ch/sidney-oh-income-by-gender.jpeg" alt="Sidney, OH gender based income disparity">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-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 2022
    • 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 Sidney median household income by gender. You can refer the same here

  10. N

    Forty Fort, PA 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). Forty Fort, PA 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/a515ae17-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
    Forty Fort, Pennsylvania
    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 Forty Fort. 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 Forty Fort, the median income for all workers aged 15 years and older, regardless of work hours, was $51,250 for males and $32,825 for females.

    These income figures highlight a substantial gender-based income gap in Forty Fort. Women, regardless of work hours, earn 64 cents for each dollar earned by men. This significant gender pay gap, approximately 36%, underscores concerning gender-based income inequality in the borough of Forty Fort.

    - Full-time workers, aged 15 years and older: In Forty Fort, among full-time, year-round workers aged 15 years and older, males earned a median income of $61,563, while females earned $54,643, resulting in a 11% gender pay gap among full-time workers. This illustrates that women earn 89 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the borough of Forty Fort.

    Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Forty Fort.

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

  11. Average annual earnings for full-time employees in the UK 1999-2024

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
    + more versions
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    Statista (2025). Average annual earnings for full-time employees in the UK 1999-2024 [Dataset]. https://www.statista.com/statistics/1002964/average-full-time-annual-earnings-in-the-uk/
    Explore at:
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2024
    Area covered
    United Kingdom
    Description

    The median annual earnings for full-time employees in the United Kingdom was approximately 37,430 British pounds in 2024, compared with 34,963 pounds in the previous year. At the start of the provided time period, in 1999, the average full-time salary in the UK was 17,803 pounds per year, with median earnings exceeding 20,000 pounds per year in 2002, and 30,000 by 2019. Wages continue to grow faster than inflation in 2025 Between November 2021 and July 2023 inflation was higher than wage growth in the UK, with wages still outpacing inflation as of March 2025. At the peak of the recent wave of high inflation in October 2022, the CPI inflation rate reached a 41-year-high of 11.1 percent, wages were growing much slower at 6.1 percent. Since that peak, inflation remained persistently high for several months, only dropping below double figures in April 2023, when inflation was 8.7 percent, down from 10.1 percent in the previous month. For 2023 as a whole, the average annual rate of inflation was 7.3 percent but fell to 2.5 percent in 2024, but is forecast to increase to 3.2 percent in 2025. Highest and lowest-paid occupations As of 2023, the highest-paid occupation in the UK was that of Chief Executives and Senior Officials, who had an average weekly pay of approximately, 1,576 pounds. By contrast, the lowest-paid occupation that year was that of retail cashiers, and check-out operators, who earned approximately 383 pounds a week. For industry sectors as a whole, people who worked full-time in the electricity, gas, steam and air conditioning supply sector had the highest average earnings, at 955 pounds a week, compared with 505 pounds a week in the accommodation and food services sector, the lowest average earnings in 2023.

  12. N

    Great Bend, PA annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
    Share
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    Neilsberg Research (2025). Great Bend, PA 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/a518abe3-f4ce-11ef-8577-3860777c1fe6/
    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
    Great Bend, Pennsylvania
    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 Great Bend. 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 Great Bend, the median income for all workers aged 15 years and older, regardless of work hours, was $30,000 for males and $21,500 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 28% between the median incomes of males and females in Great Bend. With women, regardless of work hours, earning 72 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in theborough of Great Bend.

    - Full-time workers, aged 15 years and older: In Great Bend, among full-time, year-round workers aged 15 years and older, males earned a median income of $70,909, while females earned $42,708, leading to a 40% gender pay gap among full-time workers. This illustrates that women earn 60 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 Great Bend 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 Great Bend median household income by race. You can refer the same here

  13. B

    Brazil Average Real Monthly Income: Usual Earnings: North: Amapá: 40 to 49...

    • ceicdata.com
    Updated Nov 23, 2019
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    CEICdata.com (2019). Brazil Average Real Monthly Income: Usual Earnings: North: Amapá: 40 to 49 Years [Dataset]. https://www.ceicdata.com/en/brazil/average-real-monthly-household-income-usual-earning-by-age-north
    Explore at:
    Dataset updated
    Nov 23, 2019
    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
    Dec 1, 2016 - Dec 1, 2017
    Area covered
    Brazil
    Description

    Average Real Monthly Income: Usual Earnings: North: Amapá: 40 to 49 Years data was reported at 2,387.000 BRL in 2017. This records a decrease from the previous number of 2,426.000 BRL for 2016. Average Real Monthly Income: Usual Earnings: North: Amapá: 40 to 49 Years data is updated yearly, averaging 2,406.500 BRL from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 2,426.000 BRL in 2016 and a record low of 2,387.000 BRL in 2017. Average Real Monthly Income: Usual Earnings: North: Amapá: 40 to 49 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Domestic Trade and Household Survey – Table BR.HF052: Average Real Monthly Household Income: Usual Earning: by Age: North.

  14. N

    Kibler, AR annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    Share
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    Click to copy link
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    Cite
    Neilsberg Research (2025). Kibler, AR 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/kibler-ar-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
    Arkansas, Kibler
    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 Kibler. 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 Kibler, the median income for all workers aged 15 years and older, regardless of work hours, was $37,454 for males and $21,120 for females.

    These income figures highlight a substantial gender-based income gap in Kibler. Women, regardless of work hours, earn 56 cents for each dollar earned by men. This significant gender pay gap, approximately 44%, underscores concerning gender-based income inequality in the city of Kibler.

    - Full-time workers, aged 15 years and older: In Kibler, among full-time, year-round workers aged 15 years and older, males earned a median income of $64,453, while females earned $38,571, leading to a 40% gender pay gap among full-time workers. This illustrates that women earn 60 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 Kibler, 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 Kibler median household income by race. You can refer the same here

  15. B

    Brazil Average Real Monthly Income: Usual Earnings: Northeast: Paraíba: 40...

    • ceicdata.com
    Updated Dec 8, 2019
    + more versions
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    CEICdata.com (2019). Brazil Average Real Monthly Income: Usual Earnings: Northeast: Paraíba: 40 to 49 Years [Dataset]. https://www.ceicdata.com/en/brazil/average-real-monthly-household-income-usual-earning-by-age-northeast
    Explore at:
    Dataset updated
    Dec 8, 2019
    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
    Dec 1, 2016 - Dec 1, 2017
    Area covered
    Brazil
    Description

    Average Real Monthly Income: Usual Earnings: Northeast: Paraíba: 40 to 49 Years data was reported at 1,757.000 BRL in 2017. This records an increase from the previous number of 1,473.000 BRL for 2016. Average Real Monthly Income: Usual Earnings: Northeast: Paraíba: 40 to 49 Years data is updated yearly, averaging 1,615.000 BRL from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 1,757.000 BRL in 2017 and a record low of 1,473.000 BRL in 2016. Average Real Monthly Income: Usual Earnings: Northeast: Paraíba: 40 to 49 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Domestic Trade and Household Survey – Table BR.HF053: Average Real Monthly Household Income: Usual Earning: by Age: Northeast.

  16. Brazil Average Real Monthly Income: Actual Earnings: Northeast: Sergipe: 40...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Brazil Average Real Monthly Income: Actual Earnings: Northeast: Sergipe: 40 to 49 Years [Dataset]. https://www.ceicdata.com/en/brazil/average-real-monthly-household-income-actual-earning-by-age-northeast/average-real-monthly-income-actual-earnings-northeast-sergipe-40-to-49-years
    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
    Dec 1, 2016 - Dec 1, 2017
    Area covered
    Brazil
    Description

    Brazil Average Real Monthly Income: Actual Earnings: Northeast: Sergipe: 40 to 49 Years data was reported at 1,621.000 BRL in 2017. This records a decrease from the previous number of 1,839.000 BRL for 2016. Brazil Average Real Monthly Income: Actual Earnings: Northeast: Sergipe: 40 to 49 Years data is updated yearly, averaging 1,730.000 BRL from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 1,839.000 BRL in 2016 and a record low of 1,621.000 BRL in 2017. Brazil Average Real Monthly Income: Actual Earnings: Northeast: Sergipe: 40 to 49 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Domestic Trade and Household Survey – Table BR.HF045: Average Real Monthly Household Income: Actual Earning: by Age: Northeast.

  17. N

    Brookford, NC annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    Share
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    Neilsberg Research (2025). Brookford, NC 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/a505e667-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
    North Carolina, Brookford
    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 Brookford. 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 Brookford, the median income for all workers aged 15 years and older, regardless of work hours, was $26,719 for males and $30,603 for females.

    Contrary to expectations, women in Brookford, women, regardless of work hours, earn a higher income than men, earning 1.15 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.

    - Full-time workers, aged 15 years and older: In Brookford, among full-time, year-round workers aged 15 years and older, males earned a median income of $53,405, while females earned $31,852, leading to a 40% gender pay gap among full-time workers. This illustrates that women earn 60 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.

    Surprisingly, across all roles (including non-full-time employment), women had a higher median income compared to men in Brookford. This might indicate a more advantageous income scenario for female workers across different employment patterns within the town of Brookford, particularly 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 Brookford median household income by race. You can refer the same here

  18. N

    Rawlins, WY annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
    Share
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    Cite
    Neilsberg Research (2025). Rawlins, WY 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/a53266b7-f4ce-11ef-8577-3860777c1fe6/
    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
    Wyoming, Rawlins
    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 Rawlins. 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 Rawlins, the median income for all workers aged 15 years and older, regardless of work hours, was $46,638 for males and $27,917 for females.

    These income figures highlight a substantial gender-based income gap in Rawlins. Women, regardless of work hours, earn 60 cents for each dollar earned by men. This significant gender pay gap, approximately 40%, underscores concerning gender-based income inequality in the city of Rawlins.

    - Full-time workers, aged 15 years and older: In Rawlins, among full-time, year-round workers aged 15 years and older, males earned a median income of $69,338, while females earned $41,277, leading to a 40% gender pay gap among full-time workers. This illustrates that women earn 60 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 Rawlins, 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 Rawlins median household income by race. You can refer the same here

  19. Average annual salary in the Netherlands 2022, by age

    • statista.com
    • ai-chatbox.pro
    Updated Mar 3, 2025
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    Statista (2025). Average annual salary in the Netherlands 2022, by age [Dataset]. https://www.statista.com/statistics/538406/average-annual-salary-in-the-netherlands-by-age/
    Explore at:
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    The average Dutch employee reached their highest annual salary between the age of 50 and 54 years old, at just over 50,000 thousand euros. Up to that point, the average annual salary generally increased, from about 1,500 euros per year for those under 15, to 51,900 for those 45-49 years old. After that age, average annual salaries decreased again, to about 17,300 euros for those 75 years and older. The average annual salary in the Netherlands in 2022 was just under 39,900 thousand euros, including bonuses.

     Highest salaries in the mining and quarrying industry  

    Those looking to make a substantial amount of money were best off in the mining and quarrying industry, where average annual wages reached nearly 83.5 thousand euros in 2021. Employees in the electricity and gas supply sector earned roughly 62.7 thousand euros, and those working in finance made nearly as much, at 62,200 euros. On the lower end of the scale, employees in the accommodation and food serving industry earned an average annual salary of only 15.1 thousand euros.

    Gender differences  

     In general, annual salaries for men were considerably higher than salaries for women. Whereas men earned an average annual salary of over 46.3 thousand in 2021, women in the Netherlands on average made about 29.7thousand euros annually. This was not just the result of men having a higher average hourly salary, to some extent this was also a consequence of women working fewer hours than men. Whereas men in the Netherlands on average worked 33.5 hours per week in 2021, women worked only 25.3 hours.

  20. Average monthly salary of employees in Malaysia 2023, by age group

    • statista.com
    Updated Jun 26, 2025
    Share
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    Statista (2025). Average monthly salary of employees in Malaysia 2023, by age group [Dataset]. https://www.statista.com/statistics/720200/malaysia-average-monthly-salary-by-age/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Malaysia
    Description

    In 2023, Malaysian employees between the ages of 40 and 44 years old earned the highest average monthly salary, at ***** Malaysian ringgit. With a retirement age of just 60 years old, Malaysian workers could look forward to earning more monthly average wage starting from around 40 years old. Economic outlook Malaysia is one of the biggest and strongest economies of South-East Asia, with a relatively low unemployment rate. The average monthly salary steadily increased from ***** Malaysian ringgit in 2014 to ***** Malaysian ringgit in 2023. Employees with a university degree could expect to earn almost twice as much. Can wages keep up with the cost of living? However, when seen in the context of rising living costs, wages in Malaysia have not been able to keep up. Despite having a relatively low inflation rate, prices have still gone up. Malaysians spent more than ** percent of their income on housing and food. In May 2022, the Malaysian government increased the minimum wage to 1,500 Malaysian ringgit monthly, or 7.21 Malaysian ringgit hourly, in the hopes of easing the financial burdens of its citizens.

Share
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Email
Click to copy link
Link copied
Close
Cite
Statista (2024). Average annual earnings for full-time employees in the UK 2024, by age and gender [Dataset]. https://www.statista.com/statistics/802183/annual-pay-employees-in-the-uk/
Organization logo

Average annual earnings for full-time employees in the UK 2024, by age and gender

Explore at:
Dataset updated
Dec 16, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United Kingdom
Description

In 2024 men aged between 50 and 59 were the highest full-time earners in the United Kingdom among different gender and age groups, with men of different ages consistently earning more than women.

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