100+ datasets found
  1. Average salary in Ecuador 2022-2024, by gender

    • statista.com
    Updated Dec 2, 2024
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    Statista (2024). Average salary in Ecuador 2022-2024, by gender [Dataset]. https://www.statista.com/statistics/1395704/average-salary-by-gender-ecuador/
    Explore at:
    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Jul 2024
    Area covered
    Ecuador
    Description

    Throughout the period displayed, the average salary of the working population in Ecuador has fluctuated, revealing a wage disparity that is less favorable for females. The highest wage value for both genders was recorded in January of 2024.

  2. U.S. median household income 1990-2023

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. median household income 1990-2023 [Dataset]. https://www.statista.com/statistics/200838/median-household-income-in-the-united-states/
    Explore at:
    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.

  3. 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.

  4. Average salaries in selected industries in Poland 2022-2024

    • statista.com
    Updated May 26, 2025
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    Statista (2025). Average salaries in selected industries in Poland 2022-2024 [Dataset]. https://www.statista.com/statistics/1361675/poland-average-salaries-in-selected-industries/
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    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    The average salary in the surveyed companies in Poland was over ****** zloty in 2024, an eight percent increase compared to the previous year. The highest salaries were paid in the IT sector. The average salary in this sector amounted to over ****** zloty per month. The lowest in administration — ***** zloty.

  5. V

    Vietnam AMI: Female: Lam Dong

    • ceicdata.com
    Updated Nov 16, 2020
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    CEICdata.com (2020). Vietnam AMI: Female: Lam Dong [Dataset]. https://www.ceicdata.com/en/vietnam/average-monthly-income-wage-workers-by-provinces-annual
    Explore at:
    Dataset updated
    Nov 16, 2020
    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, 2011 - Dec 1, 2022
    Area covered
    Vietnam
    Variables measured
    Household Income and Expenditure Survey
    Description

    AMI: Female: Lam Dong data was reported at 614.000 VND th in 2022. This records a decrease from the previous number of 5,313.000 VND th for 2021. AMI: Female: Lam Dong data is updated yearly, averaging 4,362.500 VND th from Dec 2011 (Median) to 2022, with 12 observations. The data reached an all-time high of 5,313.000 VND th in 2021 and a record low of 614.000 VND th in 2022. AMI: Female: Lam Dong data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G053: Average Monthly Income: Wage Workers: By Provinces: Annual.

  6. N

    North Carolina annual median income by work experience and sex dataset :...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
    + more versions
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    Neilsberg Research (2024). North Carolina 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/94fb5bd7-9816-11ee-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
    North Carolina
    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 1-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 North Carolina. 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 2022

    Based on our analysis ACS 2022 1-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In North Carolina, the median income for all workers aged 15 years and older, regardless of work hours, was $42,649 for males and $30,657 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 North Carolina. 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 thestate of North Carolina.

    - Full-time workers, aged 15 years and older: In North Carolina, among full-time, year-round workers aged 15 years and older, males earned a median income of $57,390, while females earned $48,599, resulting in a 15% gender pay gap among full-time workers. This illustrates that women earn 85 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 state of North Carolina.

    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 North Carolina.

    https://i.neilsberg.com/ch/north-carolina-income-by-gender.jpeg" alt="North Carolina gender based income disparity">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-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 North Carolina median household income by gender. You can refer the same here

  7. V

    Vietnam AMI: Female: Ha Tinh

    • ceicdata.com
    Updated Nov 16, 2020
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    CEICdata.com (2020). Vietnam AMI: Female: Ha Tinh [Dataset]. https://www.ceicdata.com/en/vietnam/average-monthly-income-wage-workers-by-provinces-annual
    Explore at:
    Dataset updated
    Nov 16, 2020
    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, 2011 - Dec 1, 2022
    Area covered
    Vietnam
    Variables measured
    Household Income and Expenditure Survey
    Description

    AMI: Female: Ha Tinh data was reported at 5,822.000 VND th in 2022. This records an increase from the previous number of 5,398.000 VND th for 2021. AMI: Female: Ha Tinh data is updated yearly, averaging 4,285.000 VND th from Dec 2011 (Median) to 2022, with 12 observations. The data reached an all-time high of 5,822.000 VND th in 2022 and a record low of 2,889.000 VND th in 2012. AMI: Female: Ha Tinh data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G053: Average Monthly Income: Wage Workers: By Provinces: Annual.

  8. F

    Median Personal Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Median Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEPAINUSA646N
    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 Median Personal Income in the United States (MEPAINUSA646N) from 1974 to 2023 about personal income, personal, median, income, and USA.

  9. U.S. average annual salary of high school graduates 1990-2022

    • statista.com
    Updated Jun 27, 2025
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    Statista (2023). U.S. average annual salary of high school graduates 1990-2022 [Dataset]. https://www.statista.com/statistics/642042/average-annual-salary-of-us-high-school-graduates/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the average annual income of a high school graduate in the United States was around ****** U.S. dollars. This is an increase from the previous year, when the median income for high school grads was about ****** U.S. dollars, but an overall decline from 1990 when the median earnings of a high school graduate was around ****** U.S. dollars.

  10. T

    Denmark Standardized Monthly Earnings

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). Denmark Standardized Monthly Earnings [Dataset]. https://tradingeconomics.com/denmark/wages
    Explore at:
    csv, xml, json, excelAvailable 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
    Dec 31, 2009 - Dec 31, 2023
    Area covered
    Denmark
    Description

    Wages in Denmark increased to 47601.20 DKK/Month in 2023 from 45992.30 DKK/Month in 2022. This dataset provides - Denmark Average Wages in Private Sector Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. China Average Wage: Urban Non-private: On Duty: Water Conservancy,...

    • ceicdata.com
    Updated Apr 8, 2018
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    CEICdata.com (2018). China Average Wage: Urban Non-private: On Duty: Water Conservancy, Environment & Public Utility Management [Dataset]. https://www.ceicdata.com/en/china/average-wage-on-duty
    Explore at:
    Dataset updated
    Apr 8, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    China
    Variables measured
    Wage/Earnings
    Description

    Average Wage: Urban Non-private: On Duty: Water Conservancy, Environment & Public Utility Management data was reported at 72,611.000 RMB in 2023. This records a decrease from the previous number of 73,058.000 RMB for 2022. Average Wage: Urban Non-private: On Duty: Water Conservancy, Environment & Public Utility Management data is updated yearly, averaging 38,595.000 RMB from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 73,058.000 RMB in 2022 and a record low of 12,095.000 RMB in 2003. Average Wage: Urban Non-private: On Duty: Water Conservancy, Environment & Public Utility Management data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GC: Average Wage: On Duty.

  12. T

    United States Average Hourly Wages

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Average Hourly Wages [Dataset]. https://tradingeconomics.com/united-states/wages
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1964 - May 31, 2025
    Area covered
    United States
    Description

    Wages in the United States increased to 31.18 USD/Hour in May from 31.06 USD/Hour in April of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. V

    Vietnam AMI: Female: Southeast

    • ceicdata.com
    Updated Nov 16, 2020
    + more versions
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    CEICdata.com (2020). Vietnam AMI: Female: Southeast [Dataset]. https://www.ceicdata.com/en/vietnam/average-monthly-income-wage-workers-by-provinces-annual
    Explore at:
    Dataset updated
    Nov 16, 2020
    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
    Vietnam
    Variables measured
    Household Income and Expenditure Survey
    Description

    AMI: Female: Southeast data was reported at 8,302.000 VND th in 2023. This records an increase from the previous number of 8,061.000 VND th for 2022. AMI: Female: Southeast data is updated yearly, averaging 6,069.000 VND th from Dec 2011 (Median) to 2023, with 13 observations. The data reached an all-time high of 8,302.000 VND th in 2023 and a record low of 3,327.000 VND th in 2011. AMI: Female: Southeast data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G053: Average Monthly Income: Wage Workers: By Provinces: Annual.

  14. Saudi Arabia Average Monthly Wages: Saudi

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). Saudi Arabia Average Monthly Wages: Saudi [Dataset]. https://www.ceicdata.com/en/saudi-arabia/average-monthly-wages/average-monthly-wages-saudi
    Explore at:
    Dataset updated
    Dec 15, 2024
    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
    Sep 1, 2021 - Jun 1, 2024
    Area covered
    Saudi Arabia
    Variables measured
    Wage/Earnings
    Description

    Saudi Arabia Average Monthly Wages: Saudi data was reported at 10,016.900 SAR in Dec 2023. This records an increase from the previous number of 9,857.100 SAR for Sep 2023. Saudi Arabia Average Monthly Wages: Saudi data is updated quarterly, averaging 10,185.550 SAR from Jun 2016 (Median) to Dec 2023, with 31 observations. The data reached an all-time high of 10,599.879 SAR in Mar 2021 and a record low of 9,583.100 SAR in Sep 2022. Saudi Arabia Average Monthly Wages: Saudi data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.G026: Average Monthly Wages (Discontinued).

  15. T

    Russia Average Monthly Wages

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 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
    Apr 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.

  16. China Average Wage: Urban Non-private: On Duty: Resident, Repair and Other...

    • ceicdata.com
    Updated Apr 8, 2018
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    CEICdata.com (2018). China Average Wage: Urban Non-private: On Duty: Resident, Repair and Other Services [Dataset]. https://www.ceicdata.com/en/china/average-wage-on-duty
    Explore at:
    Dataset updated
    Apr 8, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    China
    Variables measured
    Wage/Earnings
    Description

    Average Wage: Urban Non-private: On Duty: Resident, Repair and Other Services data was reported at 69,903.000 RMB in 2023. This records an increase from the previous number of 66,442.000 RMB for 2022. Average Wage: Urban Non-private: On Duty: Resident, Repair and Other Services data is updated yearly, averaging 38,888.000 RMB from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 69,903.000 RMB in 2023 and a record low of 12,900.000 RMB in 2003. Average Wage: Urban Non-private: On Duty: Resident, Repair and Other Services data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GC: Average Wage: On Duty.

  17. Netherlands: average annual salary and bonuses 2022

    • statista.com
    • ai-chatbox.pro
    Updated Mar 3, 2025
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    Statista (2025). Netherlands: average annual salary and bonuses 2022 [Dataset]. https://www.statista.com/statistics/538389/netherlands-average-annual-salary/
    Explore at:
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    In 2022, the average annual salary for employees in the Netherlands, excluding special payments, was 34,200 euros. Including bonuses, the yearly salary in the Netherlands was approximately 39,900 euros.

    Salaries in the Netherlands, like elsewhere in the world, are dependent on many different factors. One of them is the field in which employees work, as is shown in this statistic on the annual wage by sector in the most recent year. Whereas employees in the accommodation and food serving industry received an average annual salary of approximately 15.1 euros, employees working in the mining and quarrying industry received on average a salary that was more than five times as high.

  18. G

    Employee wages by occupation, annual, 1997 to 2022, inactive

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jan 30, 2023
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    Statistics Canada (2023). Employee wages by occupation, annual, 1997 to 2022, inactive [Dataset]. https://open.canada.ca/data/en/dataset/1d092695-931c-4cbd-b199-7dd879e2108d
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 30, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Average hourly and weekly wage rate, and median hourly and weekly wage rate by National Occupational Classification (NOC), type of work, sex, and age group, 1997 to 2022.

  19. F

    Median Household Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2024
    + more versions
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    (2024). Median Household Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEHOINUSA646N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 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 Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2023 about households, median, income, and USA.

  20. N

    Toronto, OH Median Income by Age Groups Dataset: A Comprehensive Breakdown...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
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    Neilsberg Research (2024). Toronto, OH Median Income by Age Groups Dataset: A Comprehensive Breakdown of Toronto Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3faad00-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 7, 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
    Ohio, Toronto
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the distribution of median household income among distinct age brackets of householders in Toronto. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Toronto. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Toronto, householders within the under 25 years age group have the highest median household income at $102,080, followed by those in the 25 to 44 years age group with an income of $68,983. Meanwhile householders within the 45 to 64 years age group report the second lowest median household income of $45,975. Notably, householders within the 65 years and over age group, had the lowest median household income at $37,374.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

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

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

    This dataset is a part of the main dataset for Toronto median household income by age. You can refer the same here

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Statista (2024). Average salary in Ecuador 2022-2024, by gender [Dataset]. https://www.statista.com/statistics/1395704/average-salary-by-gender-ecuador/
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Average salary in Ecuador 2022-2024, by gender

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Dataset updated
Dec 2, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Oct 2022 - Jul 2024
Area covered
Ecuador
Description

Throughout the period displayed, the average salary of the working population in Ecuador has fluctuated, revealing a wage disparity that is less favorable for females. The highest wage value for both genders was recorded in January of 2024.

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