100+ datasets found
  1. 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 - Jul 31, 2025
    Area covered
    United States
    Description

    Wages in the United States increased to 31.34 USD/Hour in July from 31.26 USD/Hour in June of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. R

    Russia Monthly Earnings

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Russia Monthly Earnings [Dataset]. https://www.ceicdata.com/en/indicator/russia/monthly-earnings
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    Dataset updated
    Feb 15, 2025
    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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Russia
    Description

    Key information about Russia Monthly Earnings

    • Russia Monthly Earnings stood at 1,256 USD in Dec 2024, compared with the previous figure of 861 USD in Nov 2024
    • Russia Monthly Earnings data is updated monthly, available from Jun 1992 to Dec 2024, with an average number of 542 USD
    • The data reached the an all-time high of 1,354 USD in Dec 2022 and a record low of 25 USD in Nov 1992

    CEIC converts Monthly Earnings into USD. Federal State Statistics Service provides Average Nominal Wages in local currency. The Bank of Russia average market exchange rate is used for currency conversions.


    Further information about Russia Monthly Earnings

    • In the latest reports, Russia Population reached 146 million people in Dec 2024
    • Unemployment Rate of Russia remained the same at 2 % in Jul 2024
    • The country's Labour Force Participation Rate increased to 68 % in Feb 2024

  3. U.S. wage and salary accruals 2023, by industry

    • statista.com
    Updated Oct 15, 2024
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    Statista (2024). U.S. wage and salary accruals 2023, by industry [Dataset]. https://www.statista.com/statistics/243834/annual-mean-wages-and-salary-per-employee-in-the-us-by-industry/
    Explore at:
    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the average wage and salary per full-time equivalent employee in the mining industry in the United States was at 126,707 U.S. dollars. The highest wage and salary per FTE was found in the information industry, at 164,400 U.S. dollars.

  4. D

    Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas...

    • ceicdata.com
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    CEICdata.com, Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas Method [Dataset]. https://www.ceicdata.com/en/dominican-republic/gross-domestic-product-nominal/do-gdp-usd-gross-national-income-per-capita-atlas-method
    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, 2005 - Dec 1, 2016
    Area covered
    Dominican Republic
    Variables measured
    Gross Domestic Product
    Description

    Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 6,630.000 USD in 2017. This records an increase from the previous number of 6,390.000 USD for 2016. Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 1,250.000 USD from Dec 1962 (Median) to 2017, with 56 observations. The data reached an all-time high of 6,630.000 USD in 2017 and a record low of 220.000 USD in 1962. Dominican Republic DO: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominican Republic – Table DO.World Bank: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

  5. Latin America: minimum monthly wages in 2024, by country

    • statista.com
    Updated Apr 22, 2025
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    Statista (2025). Latin America: minimum monthly wages in 2024, by country [Dataset]. https://www.statista.com/statistics/953880/latin-america-minimum-monthly-wages/
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    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    LAC, Americas, Latin America
    Description

    Costa Rica is the country with the highest minimum monthly wage in Latin America. According to the minimum salary established by law as of January 2025, workers in the Central American country enjoy a basic monthly wage of over 726 U.S. dollars, an increase of 2.37 percent compared to the previous year. They also earn over 200 U.S. dollars more than the second place, Uruguay. On the other side of the spectrum is Venezuela, where employees are only guaranteed by law a minimum salary of 130 bolívares or little more than 2.50 dollars per month. Can Latin Americans survive on a minimum wage? Even if most countries in Latin America have instated laws to guarantee citizens a basic income, these minimum standards are often not enough to meet household needs. For instance, it was estimated that almost 25 million people in Mexico lacked basic housing services. Salary levels also vary greatly among Latin American economies. In 2020, the average net monthly salary in Mexico was barely higher than Chile's minimum wage in 2021. What can a minimum wage afford in Latin America? Latin American real wages have generally risen in the past decade. However, consumers in this region still struggle to afford non-basic goods, such as tech products. Recent estimates reveal that, in order to buy an iPhone, Brazilian residents would have to work at least two months to be able to pay for it. A gaming console, on the other hand, could easily cost a Latin American worker several minimum wages.

  6. B

    Belarus Monthly Earnings

    • ceicdata.com
    Updated Dec 15, 2019
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    CEICdata.com (2019). Belarus Monthly Earnings [Dataset]. https://www.ceicdata.com/en/indicator/belarus/monthly-earnings
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    Dataset updated
    Dec 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Belarus
    Description

    Key information about Belarus Monthly Earnings

    • Belarus Monthly Earnings stood at 703 USD in Jan 2025, compared with the previous figure of 778 USD in Dec 2024
    • Belarus Monthly Earnings data is updated monthly, available from Jan 1994 to Jan 2025, with an average number of 360 USD
    • The data reached the an all-time high of 778 USD in Dec 2024 and a record low of 15 USD in Mar 1994

    CEIC converts Monthly Earnings into USD. The National Statistical Committee of the Republic of Belarus provides Gross Monthly Wages in local currency. The National Bank of the Republic of Belarus average market exchange rate is used for currency conversions. Monthly Earnings prior to January 2016 are calculated from BYR. Since 2016, the national currency became BYN (1 BYN = 10 000 BYR).


    Further information about Belarus Monthly Earnings

    • In the latest reports, Belarus Population reached 9 million people in Dec 2023
    • Unemployment Rate of Belarus remained the same at 0 % in Dec 2024
    • The country's Labour Force Participation Rate increased to 87 % in Dec 2022

  7. T

    Thailand Monthly Earnings

    • ceicdata.com
    Updated Jul 15, 2020
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    CEICdata.com (2020). Thailand Monthly Earnings [Dataset]. https://www.ceicdata.com/en/indicator/thailand/monthly-earnings
    Explore at:
    Dataset updated
    Jul 15, 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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Thailand
    Description

    Key information about Thailand Monthly Earnings

    • Thailand Monthly Earnings stood at 442 USD in Dec 2024, compared with the previous figure of 470 USD in Nov 2024
    • Thailand Monthly Earnings data is updated monthly, available from Jan 2001 to Dec 2024, with an average number of 349 USD
    • The data reached the an all-time high of 479 USD in Dec 2020 and a record low of 145 USD in Jan 2002

    CEIC converts Monthly Earnings into USD. The Bank of Thailand provides Monthly Average Wage in local currency based on ISIC Rev. 4. Federal Reserve Board average market exchange rate is used for currency conversions. Monthly Earnings prior to January 2011 are based on ISIC Rev. 3.


    Further information about Thailand Monthly Earnings

    • In the latest reports, Thailand Population reached 66 million people in Dec 2024
    • Unemployment Rate of Thailand dropped to 1 % in Dec 2024
    • The country's Labour Force Participation Rate dropped to 69 % in Dec 2024

  8. Average software developer wages in the U.S. in 2024, by role

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Average software developer wages in the U.S. in 2024, by role [Dataset]. https://www.statista.com/statistics/794094/united-states-developer-survey-average-salaries/
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 19, 2024 - Jun 20, 2024
    Area covered
    United States
    Description

    In 2024, software developers working as senior executives in the United Stated had an average salary of about *** thousand U.S. dollars, making it the highest paying job for software developers in the United States. engineering manager ranked second with *** thousand U.S. dollars.

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

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). 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. C

    China Household Income per Capita

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China Household Income per Capita [Dataset]. https://www.ceicdata.com/en/indicator/china/annual-household-income-per-capita
    Explore at:
    Dataset updated
    Feb 15, 2025
    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, 2002 - Dec 1, 2013
    Area covered
    China
    Variables measured
    Household Income and Expenditure Survey
    Description

    Key information about China Household Income per Capita

    • China Annual Household Income per Capita reached 4,805.935 USD in Dec 2013, compared with the previous value of 4,273.467 USD in Dec 2012.
    • China Annual Household Income per Capita data is updated yearly, available from Dec 1985 to Dec 2013, with an averaged value of 711.353 USD.
    • The data reached an all-time high of 4,805.935 USD in Dec 2013 and a record low of 262.918 USD in Dec 1986.
    • In the latest reports, Retail Sales of China grew 12.700 % YoY in May 2023.

    CEIC converts Annual Household Income per Capita into USD. The National Bureau of Statistics provides Average Household Income per Capita in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Household Income covers urban area only.

  11. data-science-job-salaries

    • huggingface.co
    Updated Aug 15, 2022
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    fastai X Hugging Face Group 2022 (2022). data-science-job-salaries [Dataset]. https://huggingface.co/datasets/hugginglearners/data-science-job-salaries
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 15, 2022
    Dataset provided by
    Hugging Facehttps://huggingface.co/
    Authors
    fastai X Hugging Face Group 2022
    License

    https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

    Description

    Dataset Card for Data Science Job Salaries

      Dataset Summary
    
    
    
    
    
      Content
    

    Column Description

    work_year The year the salary was paid.

    experience_level The experience level in the job during the year with the following possible values: EN Entry-level / Junior MI Mid-level / Intermediate SE Senior-level / Expert EX Executive-level / Director

    employment_type The type of employement for the role: PT Part-time FT Full-time CT Contract FL Freelance

    job_title… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/data-science-job-salaries.

  12. 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

  13. F

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

    • fred.stlouisfed.org
    json
    Updated Jul 22, 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 [Dataset]. https://fred.stlouisfed.org/series/LEU0252881500Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 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 (LEU0252881500Q) from Q1 1979 to Q2 2025 about second quartile, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  14. H

    Hungary Household Income per Capita

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Hungary Household Income per Capita [Dataset]. https://www.ceicdata.com/en/indicator/hungary/annual-household-income-per-capita
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Hungary
    Description

    Key information about Hungary Household Income per Capita

    • Hungary Annual Household Income per Capita reached 10,266.736 USD in Dec 2023, compared with the previous value of 8,277.037 USD in Dec 2022.
    • Hungary Annual Household Income per Capita data is updated yearly, available from Dec 2000 to Dec 2023, with an averaged value of 5,733.197 USD.
    • The data reached an all-time high of 10,266.736 USD in Dec 2023 and a record low of 1,832.809 USD in Dec 2000.
    • In the latest reports, Retail Sales of Hungary grew 4.262 % YoY in Aug 2024.

    CEIC converts Annual Household Income per Capita into USD. Hungarian Central Statistical Office provides Household Income per Capita in local currency. The Magyar Nemzeti Bank average market exchange rate is used for currency conversions.

  15. b

    T-Mobile US CEO Salary

    • bullfincher.io
    Updated May 1, 2025
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    Bullfincher (2025). T-Mobile US CEO Salary [Dataset]. https://bullfincher.io/companies/t-mobile-us/ceo-salary
    Explore at:
    Dataset updated
    May 1, 2025
    Dataset authored and provided by
    Bullfincher
    License

    https://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy

    Description

    T-Mobile US's CEO salary and other executives compensation in 2024 was as follows: G. Michael Sievert President & Chief Executive Officer at T-Mobile US, received a total compensation of $30.04 M in 2024, Peter Osvaldik Executive Vice President and Chief Financial Officer at T-Mobile US, received a total compensation of $11.41 M in 2024, Mark W. Nelson Executive Vice President and General Counsel at T-Mobile US, received a total compensation of $10.81 M in 2024, Michael J. Katz President, Marketing, Strategy & Products at T-Mobile US, received a total compensation of $9.43 M in 2024, Jonathan A. Freier President, Consumer Group at T-Mobile US, received a total compensation of $8.69 M in 2024, Callie R. Field President, Business Group at T-Mobile US, received a total compensation of $8.57 M in 2024.

  16. N

    China, TX annual median income by work experience and sex dataset: Aged 15+,...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
    Share
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    Neilsberg Research (2025). China, TX 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/a50ace5c-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
    China, Texas
    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 China. 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 China, the median income for all workers aged 15 years and older, regardless of work hours, was $58,750 for males and $30,313 for females.

    These income figures highlight a substantial gender-based income gap in China. Women, regardless of work hours, earn 52 cents for each dollar earned by men. This significant gender pay gap, approximately 48%, underscores concerning gender-based income inequality in the city of China.

    - Full-time workers, aged 15 years and older: In China, among full-time, year-round workers aged 15 years and older, males earned a median income of $62,188, while females earned $69,375

    Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.12 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 China median household income by race. You can refer the same here

  17. U.S. minimum wage 2024, by state

    • statista.com
    Updated Apr 3, 2025
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    Statista (2025). U.S. minimum wage 2024, by state [Dataset]. https://www.statista.com/statistics/238997/minimum-wage-by-us-state/
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2025
    Area covered
    United States
    Description

    The federally mandated minimum wage in the United States is 7.25 U.S. dollars per hour, although the minimum wage varies from state to state. As of January 1, 2025, the District of Columbia had the highest minimum wage in the U.S., at 17.5 U.S. dollars per hour. This was followed by Washington, which had 16.66 U.S. dollars per hour as the state minimum wage. Minimum wage workers Minimum wage jobs are traditionally seen as “starter jobs” in the U.S., or first jobs for teenagers and young adults, and the number of people working minimum wage jobs has decreased from almost four million in 1979 to about 247,000 in 2020. However, the number of workers earning less than minimum wage in 2020 was significantly higher, at about 865,000. Minimum wage jobs Minimum wage jobs are primarily found in food preparation and serving occupations, as well as sales jobs (primarily in retail). Because the minimum wage has not kept up with inflation, nor has it been increased since 2009, it is becoming harder and harder live off of a minimum wage wage job, and for those workers to afford essential things like rent.

  18. J

    Jamaica JM: GDP: USD: Gross National Income per Capita: Atlas Method

    • ceicdata.com
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    CEICdata.com, Jamaica JM: GDP: USD: Gross National Income per Capita: Atlas Method [Dataset]. https://www.ceicdata.com/en/jamaica/gross-domestic-product-nominal/jm-gdp-usd-gross-national-income-per-capita-atlas-method
    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, 2005 - Dec 1, 2016
    Area covered
    Jamaica
    Variables measured
    Gross Domestic Product
    Description

    Jamaica JM: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 4,750.000 USD in 2017. This records an increase from the previous number of 4,630.000 USD for 2016. Jamaica JM: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 1,800.000 USD from Dec 1968 (Median) to 2017, with 50 observations. The data reached an all-time high of 5,020.000 USD in 2013 and a record low of 620.000 USD in 1968. Jamaica JM: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jamaica – Table JM.World Bank: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average;

  19. T

    United States Federal Minimum Hourly Wage

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2024
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    TRADING ECONOMICS (2024). United States Federal Minimum Hourly Wage [Dataset]. https://tradingeconomics.com/united-states/minimum-wages
    Explore at:
    csv, json, xml, 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, 1938 - Dec 31, 2025
    Area covered
    United States
    Description

    Minimum Wages in the United States remained unchanged at 7.25 USD/Hour in 2025 from 7.25 USD/Hour in 2024. This dataset provides - United States Minimum Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. F

    Consumer Price Index for All Urban Wage Earners and Clerical Workers:...

    • fred.stlouisfed.org
    json
    Updated Aug 12, 2025
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    (2025). Consumer Price Index for All Urban Wage Earners and Clerical Workers: Purchasing Power of the Consumer Dollar in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CWUR0000SA0R
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 12, 2025
    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 Consumer Price Index for All Urban Wage Earners and Clerical Workers: Purchasing Power of the Consumer Dollar in U.S. City Average (CWUR0000SA0R) from Jan 1913 to Jul 2025 about clerical workers, wages, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Share
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TwitterTwitter
Email
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Link copied
Close
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TRADING ECONOMICS, United States Average Hourly Wages [Dataset]. https://tradingeconomics.com/united-states/wages

United States Average Hourly Wages

United States Average Hourly Wages - Historical Dataset (1964-01-31/2025-07-31)

Explore at:
35 scholarly articles cite this dataset (View in Google Scholar)
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 - Jul 31, 2025
Area covered
United States
Description

Wages in the United States increased to 31.34 USD/Hour in July from 31.26 USD/Hour in June of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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