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Line 1 - Average Hourly Earnings of All Employees, Transportation and Warehousing
Line 1
(a) Average Hourly Earnings of All Employees, Transportation and Warehousing, Dollars per Hour, Seasonally Adjusted (CES4300000003)
The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES4300000003

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    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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    Line 1 - Average Hourly Earnings of All Employees, Transportation and Warehousing
    Line 2
    (a) Average Hourly Earnings of All Employees, Total Private, Dollars per Hour, Seasonally Adjusted (CES0500000003)
    The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES0500000003 The Average Hourly Earnings of All Private Employees is a measure of the average hourly earnings of all private employees on a “gross” basis, including premium pay for overtime and late-shift work. These differ from wage rates in that average hourly earnings measure the actual return to a worker for a set period of time, rather than the amount contracted for a unit of work, the wage rate. This measure excludes benefits, irregular bonuses, retroactive pay, and payroll taxes paid by the employer. Average Hourly Earnings are collected in the Current Employment Statistics (CES) program and published by the BLS. It is provided on a monthly basis, so this data is used in part by macroeconomists as an initial economic indicator of current trends. Progressions in earnings specifically help policy makers understand some of the pressures driving inflation. It is important to note that this series measures the average hourly earnings of the pool of workers in each period. Thus, changes in average hourly earnings can be due to either changes in the set of workers observed in a given period, or due to changes in earnings. For instance, in recessions that lead to the disproportionate increase of unemployment in lower-wage jobs, average hourly earnings can increase due to changes in the pool of workers rather than due to the widespread increase of hourly earnings at the worker-level. For more information, see: U.S. Bureau of Labor Statistics, CES Overview (https://www.bls.gov/web/empsit/cesprog.htm) U.S. Bureau of Labor Statistics, BLS Handbook of Methods: Chapter 2. Employment, Hours, and Earnings from the Establishment Survey (https://www.bls.gov/opub/hom/pdf/ces-20110307.pdf)

    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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      Line 1
      Average Hourly Earnings of All Employees, Transportation and Warehousing
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      Line 2
      Average Hourly Earnings of All Employees, Total Private
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      Notes

      Source: U.S. Bureau of Labor Statistics  

      Release: Employment Situation  

      Units:  Dollars per Hour, Seasonally Adjusted

      Frequency:  Monthly

      Notes:

      The series comes from the 'Current Employment Statistics (Establishment Survey).'

      The source code is: CES4300000003

      Suggested Citation:

      U.S. Bureau of Labor Statistics, Average Hourly Earnings of All Employees, Transportation and Warehousing [CES4300000003], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CES4300000003, April 6, 2025.

      Source: U.S. Bureau of Labor Statistics  

      Release: Employment Situation  

      Units:  Dollars per Hour, Seasonally Adjusted

      Frequency:  Monthly

      Notes:

      The series comes from the 'Current Employment Statistics (Establishment Survey).'
      The source code is: CES0500000003

      The Average Hourly Earnings of All Private Employees is a measure of the average hourly earnings of all private employees on a “gross” basis, including premium pay for overtime and late-shift work. These differ from wage rates in that average hourly earnings measure the actual return to a worker for a set period of time, rather than the amount contracted for a unit of work, the wage rate. This measure excludes benefits, irregular bonuses, retroactive pay, and payroll taxes paid by the employer.

      Average Hourly Earnings are collected in the Current Employment Statistics (CES) program and published by the BLS. It is provided on a monthly basis, so this data is used in part by macroeconomists as an initial economic indicator of current trends. Progressions in earnings specifically help policy makers understand some of the pressures driving inflation.

      It is important to note that this series measures the average hourly earnings of the pool of workers in each period. Thus, changes in average hourly earnings can be due to either changes in the set of workers observed in a given period, or due to changes in earnings. For instance, in recessions that lead to the disproportionate increase of unemployment in lower-wage jobs, average hourly earnings can increase due to changes in the pool of workers rather than due to the widespread increase of hourly earnings at the worker-level.

      For more information, see:
      U.S. Bureau of Labor Statistics, CES Overview
      U.S. Bureau of Labor Statistics, BLS Handbook of Methods: Chapter 2. Employment, Hours, and Earnings from the Establishment Survey

      Suggested Citation:

      U.S. Bureau of Labor Statistics, Average Hourly Earnings of All Employees, Total Private [CES0500000003], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CES0500000003, April 6, 2025.

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      Average Hourly Earnings of All Employees, Transportation and Warehousing

      Monthly, Not Seasonally Adjusted

      Average Hourly Earnings of All Employees, Total Private

      Monthly, Not Seasonally Adjusted

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