100+ datasets found
  1. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0252881500Q
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    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 nominal earnings (second quartile): Wage and salary workers: 16 years and over (LEU0252881500Q) from Q1 1979 to Q1 2025 about second quartile, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  2. T

    United States Average Hourly Wages

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). United States Average Hourly Wages [Dataset]. https://tradingeconomics.com/united-states/wages
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jun 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, 1964 - Jun 30, 2025
    Area covered
    United States
    Description

    Wages in the United States increased to 31.24 USD/Hour in June from 31.15 USD/Hour in May of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over: White [Dataset]. https://fred.stlouisfed.org/series/LEU0252883600Q
    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 nominal earnings (second quartile): Wage and salary workers: 16 years and over: White (LEU0252883600Q) from Q1 2000 to Q1 2025 about second quartile, full-time, salaries, workers, earnings, white, 16 years +, wages, median, employment, and USA.

  4. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0252881500A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 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 nominal earnings (second quartile): Wage and salary workers: 16 years and over (LEU0252881500A) from 1979 to 2024 about second quartile, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  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: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0252882800Q
    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: Women (LEU0252882800Q) from Q1 1979 to Q1 2025 about females, full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

  6. T

    United States - Employed full time: Median usual weekly real earnings: Wage...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 12, 2018
    + more versions
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    TRADING ECONOMICS (2018). United States - Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Men [Dataset]. https://tradingeconomics.com/united-states/employed-full-time-median-usual-weekly-real-earnings-wage-and-salary-workers-16-years-and-over-men-fed-data.html
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Mar 12, 2018
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Men was 408.00000 1982-84 CPI Adjusted $ in January of 2025, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Men reached a record high of 427.00000 in July of 2020 and a record low of 348.00000 in July of 1994. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Men - last updated from the United States Federal Reserve on July of 2025.

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

    • statista.com
    Updated Jul 8, 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
    Jul 8, 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 ***** 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 ***** current U.S. dollars.

  8. Average annual wages in Portugal 2000-2023

    • statista.com
    Updated Dec 4, 2024
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    Statista (2024). Average annual wages in Portugal 2000-2023 [Dataset]. https://www.statista.com/statistics/419498/average-annual-wages-portugal-y-on-y/
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Portugal
    Description

    After a steep decline, starting in 2010 and culminating in the bottom value of 19,939 euros, average annual wages in Portugal increased to unprecedented figures. By 2021, the mean wage per year of work was 21,717 euros, despite the more than 200-euro drop that followed in 2022. By 2023, annual wages rose to 22,006 euros. The salary increase is not enough to tackle living expenses The surge in salaries is even more evident when considering minimum annual wages. Following a period of stagnation between 2011 and 2014, the Portuguese minimum annual salary has been on a hike, reaching 11,480 euros by 2024. This rise is relevant when considering the impact of growing inflation on the prices of goods and services, as it restores some purchasing power to workers. Nevertheless, 50 percent of Portuguese people stated, in 2023, that their professional income was mostly not enough to face up to living expenses. Youngsters and women struggle the most when it comes to unemployment and salary amounts The unemployment rate in the country was at six percent in the second quarter of 2024, having decreased from the previous quarter. People between 16 and 24 years of age were the most affected by unemployment, with shares of 22 percent in the same quarter. Women followed as the second most impacted by this social issue. The gender gap is also notorious when it comes to wages. In 2022, women’s average monthly salaries were over 13 percent lower than the salaries of their male counterparts, which impairs women in the tackling of the rising cost of living.

  9. N

    Norway, IA annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). Norway, IA 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/norway-ia-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
    Iowa, Norway
    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 Norway. 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 Norway, the median income for all workers aged 15 years and older, regardless of work hours, was $49,167 for males and $38,750 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 21% between the median incomes of males and females in Norway. With women, regardless of work hours, earning 79 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Norway.

    - Full-time workers, aged 15 years and older: In Norway, among full-time, year-round workers aged 15 years and older, males earned a median income of $63,333, while females earned $38,750, 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 lower gender pay gap percentage. This indicates that Norway 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 Norway median household income by race. You can refer the same here

  10. U.S. household income of black families 1990-2023

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. household income of black families 1990-2023 [Dataset]. https://www.statista.com/statistics/203295/median-income-of-black-households-in-the-us/
    Explore at:
    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The median income in 2023 was at 56,490 U.S. dollars for Black households. In 1990, the median income among Black households was 38,360 U.S. dollars (In 2023 U.S. dollars).

  11. Employee wages by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    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.

  12. Mean wage of households in Cuba 2024

    • statista.com
    Updated Nov 5, 2024
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    Statista (2024). Mean wage of households in Cuba 2024 [Dataset]. https://www.statista.com/statistics/1376640/average-income-households-cuba/
    Explore at:
    Dataset updated
    Nov 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024 - Jul 2024
    Area covered
    Cuba
    Description

    During a 2024 survey, around 19 percent of the Cuban population had a monthly income lower than 67 U.S. dollars, and only 21 percent had an income higher than 417 USD. During that same survey, 61 percent of the respondents stated that they struggle to buy the necessary means to survive. Employment in Cuba Cuba has almost no unemployment at all. In 2022, the unemployment rate for the Caribbean country was 1.16 percent. In that year, over 74 percent of the workforce was estimated to be employees. However, most of them are employed in the public sector, as this segment employs nearly 62.4 percent of the entire labor force. Food insecurity Despite having almost all the entire workforce employed, the Cuban population faces many challenges. In a survey in 2024, 72 percent of the population claimed that the food crisis that the country faces is the main social problem, followed by salaries with 49 percent. The difficulty of accessing food is widespread, as one in two Cubans have admitted to gone without food at least one day in 2023.

  13. Average annual wages in China 2012-2022

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Average annual wages in China 2012-2022 [Dataset]. https://www.statista.com/statistics/743522/china-average-yearly-wages/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    China is the largest labor force market in the world. China’s economic prosperity wouldn’t exist without the large number of people working in this country. With increasing living standards and growing inflation, the wages of employees in China are increasing as well. As of 2022, average wages in China increased to ******* yuan from ****** yuan in 2012. Wage gap between regions The wages vary in China depending on sector, position, gender and region like in any other country. Since China’s different regions have developed unequally, the wage gaps between people working in different regions can also be very large. This is a reason for no single minimum wage being set for the entire nation. The local governments set minimum wages based on local living standards. Considering the city tier, the wage standards are higher in cities with higher rankings. ******** and ******* have the highest minimum wage standards in China. Although the minimum wages in China have been increasing, the standards are still lower than in developed countries. Challenges of increasing labor costs Increasing wages also make the labor force market less attractive. Affected by increasing labor costs and the China-United States trade war, many companies are transferring their investment destinations, especially in the manufacturing sector. Local governments are also taking measures to ensure the living costs remain at a reasonable level to retain companies and employees. These measures include regulating the residential housing market more strictly.

  14. T

    Russia Average Monthly Wages

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). Russia Average Monthly Wages [Dataset]. https://tradingeconomics.com/russia/wages
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    May 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, 1990 - Mar 31, 2025
    Area covered
    Russia
    Description

    Wages in Russia increased to 97645 RUB/Month in March from 89646 RUB/Month in February of 2025. This dataset provides the latest reported value for - Russia Average Monthly Wages - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  15. U.S. Michigan median household income 1990-2023

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. Michigan median household income 1990-2023 [Dataset]. https://www.statista.com/statistics/205953/median-household-income-in-michigan/
    Explore at:
    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the median household income in Michigan amounted to 76,960 U.S. dollars. This is a slight increase from the previous year, when the median household income amounted to 68,990 U.S. dollars. The household median income of the United States can be accessed here.

  16. U.S. Minnesota median household income 1990-2023

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. Minnesota median household income 1990-2023 [Dataset]. https://www.statista.com/statistics/205957/median-household-income-in-minnesota/
    Explore at:
    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the median household income in Minnesota amounted to 90,340 U.S. dollars. This is a decrease from the previous year, when the median household income in the state was 90,390 U.S. dollars. Median household income for the United States as a whole can be found here.

  17. N

    Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Norwell, Massachusetts Household Incomes Across 16 Income Brackets // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/norwell-ma-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
    Massachusetts, Norwell
    Variables measured
    Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
    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 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). 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 the household distribution across 16 income brackets among four distinct age groups in Norwell town: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

    Key observations

    • Upon closer examination of the distribution of households among age brackets, it reveals that there are 13(0.36%) households where the householder is under 25 years old, 1,087(29.84%) households with a householder aged between 25 and 44 years, 1,585(43.51%) households with a householder aged between 45 and 64 years, and 958(26.30%) households where the householder is over 65 years old.
    • In Norwell town, the age group of 45 to 64 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.
    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:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 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 $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $100,000 to $124,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
    • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
    • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
    • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
    • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

    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 Norwell town median household income by age. You can refer the same here

  18. Canada: annual median income 2002-2022

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Canada: annual median income 2002-2022 [Dataset]. https://www.statista.com/statistics/464087/median-annual-earnings-in-canada/
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The median total income in Canada increased by 1,440 dollars (+3.46 percent) in 2022. With 43,090 dollars, the median total income thereby reached its highest value in the observed period.

  19. F

    Average Weekly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). Average Weekly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000011
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 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 Jun 2025 about earnings, establishment survey, private, employment, and USA.

  20. N

    Springfield, MO annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Springfield, MO 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/a5386ca9-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
    Springfield, Missouri
    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 Springfield. 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 Springfield, the median income for all workers aged 15 years and older, regardless of work hours, was $34,051 for males and $25,891 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 24% between the median incomes of males and females in Springfield. With women, regardless of work hours, earning 76 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Springfield.

    - Full-time workers, aged 15 years and older: In Springfield, among full-time, year-round workers aged 15 years and older, males earned a median income of $46,495, while females earned $39,067, leading to a 16% gender pay gap among full-time workers. This illustrates that women earn 84 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Springfield, 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 Springfield median household income by race. You can refer the same here

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(2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0252881500Q

Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over

LEU0252881500Q

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
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 nominal earnings (second quartile): Wage and salary workers: 16 years and over (LEU0252881500Q) from Q1 1979 to Q1 2025 about second quartile, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

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