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Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 55 years and over: White: Women (LEU0252894300Q)

Q4 2024: 1,103
Updated: Jan 22, 2025 9:03 AM CST
Q4 2024:  1,103  
Q3 2024:  1,109  
Q2 2024:  1,071  
Q1 2024:  1,077  
Q4 2023:  1,055  

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Bar 1 - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 55 years and over: White: Women Vintage: 2024-10-17
Bar 1
(a) Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 55 years and over: White: Women, Dollars, Not Seasonally Adjusted (LEU0252894300Q)
Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses. Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. For more information see https://www.bls.gov/cps/earnings.htm The series comes from the 'Current Population Survey (Household Survey)' The source code is: LEU0252894300

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    For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

    Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

    Finally, you can change the units of your new series.

    Select a date that will equal 100 for your custom index:
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    Bar 1 - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 55 years and over: White: Women Vintage: 2024-10-17
    Bar 2
    (a) Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 55 years and over: White: Women, Dollars, Not Seasonally Adjusted (LEU0252894300Q)
    Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses. Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. For more information see https://www.bls.gov/cps/earnings.htm The series comes from the 'Current Population Survey (Household Survey)' The source code is: LEU0252894300

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    Write a custom formula to transform one or more series or combine two or more series.

    You can begin by adding a series to combine with your existing series.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

      Finally, you can change the units of your new series.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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      Bar 1
      Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 55 years and over: White: Women Vintage: 2024-10-17
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      Bar 2
      Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 55 years and over: White: Women Vintage: 2025-01-22
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      Notes

      Title Release Dates

      2015-01-21 2025-01-22
       
      Source    

      2015-01-21 2025-01-22
       
      Release    

      2015-01-21 2025-01-22
       
      Units    

      2015-01-21 2025-01-22
       
      Frequency    

      2015-01-21 2025-01-22
       
      Seasonal Adjustment    

      2015-01-21 2025-01-22
       
      Notes    

      2015-01-21 2025-01-22

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