100+ datasets found
  1. Average weekly earnings, average hourly wage rate and average usual weekly...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Jan 27, 2025
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    Government of Canada, Statistics Canada (2025). Average weekly earnings, average hourly wage rate and average usual weekly hours by union status, annual [Dataset]. http://doi.org/10.25318/1410013401-eng
    Explore at:
    Dataset updated
    Jan 27, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average weekly earnings, average hourly wage rate and average usual weekly hours by union status and type of work, last 5 years.

  2. Average weekly wages in Ireland by sector 2025

    • statista.com
    • tokrwards.com
    Updated Sep 4, 2025
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    Statista (2025). Average weekly wages in Ireland by sector 2025 [Dataset]. https://www.statista.com/statistics/1493555/ireland-average-weekly-wage-by-sector/
    Explore at:
    Dataset updated
    Sep 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Ireland, Ireland
    Description

    The average weekly salary in the Republic of Ireland was around **** euros in the second quarter of 2025. Information and communication had the highest average weekly salary among industry sectors, at over ***** euros per week, with earnings lowest in accommodation and food services, at around *** euros a week.

  3. Average full-time weekly wage in the UK 2023, by region

    • statista.com
    • tokrwards.com
    Updated Apr 8, 2025
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    Statista (2025). Average full-time weekly wage in the UK 2023, by region [Dataset]. https://www.statista.com/statistics/800644/full-time-weekly-wage-uk-by-region/
    Explore at:
    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    Full-time workers in London earned an average weekly salary of 838.9 British pounds a week in 2023, which was by far the highest of any region of the United Kingdom. The region with the lowest average salary was North East England, at 608.4 pounds a week.

  4. F

    Average Weekly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Average Weekly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000011
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for Average Weekly Earnings of All Employees, Total Private (CES0500000011) from Mar 2006 to Aug 2025 about earnings, establishment survey, private, employment, and USA.

  5. Average weekly earnings in manufacturing industries in the U.S. 1914-1969

    • statista.com
    • tokrwards.com
    Updated Aug 17, 2012
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    Statista (2012). Average weekly earnings in manufacturing industries in the U.S. 1914-1969 [Dataset]. https://www.statista.com/statistics/1241617/average-weekly-earnings-manufacturing-united-states-early-20th-century/
    Explore at:
    Dataset updated
    Aug 17, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 1914 - Mar 1969
    Area covered
    United States
    Description

    Between 1914 and 1969, weekly wages in manufacturing industries in the United States grew by a factor of 12. In the first half of the century, the most significant periods of increase came during the World Wars, as manufacturing industries were at the core of the war effort. However, wages then fell sharply after both World Wars, due to post-war recessions and oversaturation of the job market as soldiers returned home. Interwar period Wage growth during the interwar period was often stagnant, despite the significant economic growth during the Roarin' 20s, and manufacturing wages remained steady at around 24 dollars from 1923 to 1929. This was, again, due to oversaturation of the job market, as employment in the agricultural sector declined due to mechanization and many rural workers flocked to industrial cities in search of employment. The Great Depression then saw the largest and most prolonged period of decline in manufacturing wages. From September 1929 to March 1933, weekly wages fell from 24 dollars to below 15 dollars, and it would take another four years for them to return to pre-Depression levels. Postwar prosperity After the 1945 Recession, the decades that followed the Second World War then saw consistent growth in manufacturing wages in almost every year, as the U.S. cemented itself as the foremost economic power in the world. This period is sometimes referred to as the Golden Age of Capitalism, and the U.S. strengthened its economic presence in Western Europe and other OECD countries, while expanding its political and military presence across Asia. Manufacturing and exports played a major role in the U.S.' economic growth in this period, and wages grew from roughly 40 dollars per week in 1945 to more than 120 dollars by the late 1960s.

  6. Average weekly earnings by industry, annual

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated Mar 27, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Average weekly earnings by industry, annual [Dataset]. http://doi.org/10.25318/1410020401-eng
    Explore at:
    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 years.

  7. T

    United Kingdom Average Weekly Wages

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS, United Kingdom Average Weekly Wages [Dataset]. https://tradingeconomics.com/united-kingdom/wages
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Sep 15, 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
    Jan 31, 2000 - Aug 31, 2025
    Area covered
    United Kingdom
    Description

    Wages in the United Kingdom increased to 733 GBP/Week in August from 728 GBP/Week in July of 2025. This dataset provides - United Kingdom Average Weekly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. EARN02: Average weekly earnings by sector

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Oct 14, 2025
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    Office for National Statistics (2025). EARN02: Average weekly earnings by sector [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/averageweeklyearningsbysectorearn02
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 14, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Average weekly earnings at sector level including manufacturing, finance and services, Great Britain, monthly, non-seasonally adjusted. Monthly Wages and Salaries Survey.

  9. Employment, average hourly and weekly earnings (including overtime), and...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Sep 25, 2025
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    Government of Canada, Statistics Canada (2025). Employment, average hourly and weekly earnings (including overtime), and average weekly hours for the industrial aggregate excluding unclassified businesses, monthly, seasonally adjusted [Dataset]. http://doi.org/10.25318/1410022201-eng
    Explore at:
    Dataset updated
    Sep 25, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employees, average hourly and weekly earnings (including overtime), and average weekly hours for the industrial aggregate excluding unclassified businesses, last 5 months.

  10. F

    Average Actual Hours Worked Per Week Per Wage Earner, Male, Unskilled,...

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
    + more versions
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    (2012). Average Actual Hours Worked Per Week Per Wage Earner, Male, Unskilled, Twenty-Five Manufacturing Industries for United States [Dataset]. https://fred.stlouisfed.org/series/M08032USM065NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Average Actual Hours Worked Per Week Per Wage Earner, Male, Unskilled, Twenty-Five Manufacturing Industries for United States (M08032USM065NNBR) from Jun 1920 to Jul 1948 about males, hours, wages, manufacturing, industry, and USA.

  11. U.S. weekly earnings by education and gender Q3 2024

    • statista.com
    • thefarmdosupply.com
    • +1more
    Updated Oct 28, 2024
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    Statista (2024). U.S. weekly earnings by education and gender Q3 2024 [Dataset]. https://www.statista.com/statistics/185332/median-weekly-earnings-of-full-time-wage-and-salary-workers-by-educational-attainment/
    Explore at:
    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, women holding a bachelor's degree earned, on average, 1,352 U.S. dollars per week in the second quarter of 2024. This can be compared with male bachelor's degree holders who on average earn 1,757 U.S dollars.

  12. N

    West Seneca, New York annual median income by work experience and sex...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). West Seneca, New York annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/west-seneca-ny-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
    West Seneca, New York
    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 West Seneca town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In West Seneca town, the median income for all workers aged 15 years and older, regardless of work hours, was $52,703 for males and $36,261 for females.

    These income figures highlight a substantial gender-based income gap in West Seneca town. Women, regardless of work hours, earn 69 cents for each dollar earned by men. This significant gender pay gap, approximately 31%, underscores concerning gender-based income inequality in the town of West Seneca town.

    - Full-time workers, aged 15 years and older: In West Seneca town, among full-time, year-round workers aged 15 years and older, males earned a median income of $67,276, while females earned $58,900, resulting in a 12% gender pay gap among full-time workers. This illustrates that women earn 88 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 town of West Seneca town.

    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 West Seneca town.

    Content

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

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for West Seneca town median household income by race. You can refer the same here

  13. T

    Canada Average Weekly Earnings

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Sep 16, 2025
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    TRADING ECONOMICS (2025). Canada Average Weekly Earnings [Dataset]. https://tradingeconomics.com/canada/average-weekly-earnings
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Sep 16, 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
    Jan 31, 1991 - Jun 30, 2025
    Area covered
    Canada
    Description

    Average Weekly Earnings in Canada increased to 1302.11 CAD in June from 1293.52 CAD in May of 2025. This dataset includes a chart with historical data for Canada Average Weekly Earnings.

  14. N

    Greenland, AR 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). Greenland, 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/research/datasets/a518f215-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
    Arkansas, Greenland
    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 Greenland. 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 Greenland, the median income for all workers aged 15 years and older, regardless of work hours, was $35,264 for males and $32,933 for females.

    Based on these incomes, we observe a gender gap percentage of approximately 7%, indicating a significant disparity between the median incomes of males and females in Greenland. Women, regardless of work hours, still earn 93 cents to each dollar earned by men, highlighting an ongoing gender-based wage gap.

    - Full-time workers, aged 15 years and older: In Greenland, among full-time, year-round workers aged 15 years and older, males earned a median income of $40,500, while females earned $43,478

    Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.07 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

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

  15. EARN03: Average weekly earnings by industry

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Oct 14, 2025
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    Office for National Statistics (2025). EARN03: Average weekly earnings by industry [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/averageweeklyearningsbyindustryearn03
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 14, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Average weekly earnings at industry level including manufacturing, construction and energy, Great Britain, monthly, non-seasonally adjusted. Monthly Wages and Salaries Survey.

  16. E

    Egypt Wages: Weekly Average

    • ceicdata.com
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    CEICdata.com, Egypt Wages: Weekly Average [Dataset]. https://www.ceicdata.com/en/egypt/wages-and-salaries/wages-weekly-average
    Explore at:
    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, 2012 - Dec 1, 2023
    Area covered
    Egypt
    Variables measured
    Wage/Earnings
    Description

    Egypt Wages: Weekly Average data was reported at 1,251.000 EGP in 2023. This records an increase from the previous number of 1,052.000 EGP for 2022. Egypt Wages: Weekly Average data is updated yearly, averaging 534.000 EGP from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 1,283.000 EGP in 2019 and a record low of 143.000 EGP in 1999. Egypt Wages: Weekly Average data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.G018: Wages and Salaries.

  17. Average weekly earnings for full-time employees in the UK 1997-2024

    • statista.com
    • tokrwards.com
    Updated Dec 16, 2024
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    Statista (2024). Average weekly earnings for full-time employees in the UK 1997-2024 [Dataset]. https://www.statista.com/statistics/800544/gross-weekly-earnings-for-full-time-employees-in-the-uk/
    Explore at:
    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2024
    Area covered
    United Kingdom
    Description

    The average weekly earnings for full-time workers in the United Kingdom was around 728.3 British pounds a week in 2024, an increase on the previous year, when it was 681.7 pounds a week.

  18. N

    Draper, UT 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). Draper, UT 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/a510e6f7-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
    Draper, Utah
    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 Draper. 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 Draper, the median income for all workers aged 15 years and older, regardless of work hours, was $77,562 for males and $36,752 for females.

    These income figures highlight a substantial gender-based income gap in Draper. Women, regardless of work hours, earn 47 cents for each dollar earned by men. This significant gender pay gap, approximately 53%, underscores concerning gender-based income inequality in the city of Draper.

    - Full-time workers, aged 15 years and older: In Draper, among full-time, year-round workers aged 15 years and older, males earned a median income of $107,277, while females earned $65,027, leading to a 39% gender pay gap among full-time workers. This illustrates that women earn 61 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 Draper, 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 Draper median household income by race. You can refer the same here

  19. F

    Average Hourly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Average Hourly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000003
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Aug 2025 about earnings, establishment survey, average, hours, wages, private, employment, and USA.

  20. Employee wages by industry, annual

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Jan 24, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Employee wages by industry, annual [Dataset]. http://doi.org/10.25318/1410006401-eng
    Explore at:
    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

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Government of Canada, Statistics Canada (2025). Average weekly earnings, average hourly wage rate and average usual weekly hours by union status, annual [Dataset]. http://doi.org/10.25318/1410013401-eng
Organization logo

Average weekly earnings, average hourly wage rate and average usual weekly hours by union status, annual

1410013401

Explore at:
Dataset updated
Jan 27, 2025
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Area covered
Canada
Description

Average weekly earnings, average hourly wage rate and average usual weekly hours by union status and type of work, last 5 years.

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