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Average Weekly Hours of All Employees, Mining and Logging (AWHAEMAL)

Feb 2025: 43.8
Updated: Mar 7, 2025 7:49 AM CST
Feb 2025:  43.8  
Jan 2025:  44.0  
Dec 2024:  44.3  
Nov 2024:  44.1  
Oct 2024:  44.7  

Units:

Hours,
Seasonally Adjusted

Frequency:

Monthly
1Y5Y10YMax
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Date:
Bar 1 - Average Weekly Hours of All Employees, Mining and Logging Vintage: 2025-02-07
Bar 1
(a) Average Weekly Hours of All Employees, Mining and Logging, Hours, Seasonally Adjusted (AWHAEMAL)
Average weekly hours relate to the average hours per worker for which pay was received and is different from standard or scheduled hours. Factors such as unpaid absenteeism, labor turnover, part-time work, and stoppages cause average weekly hours to be lower than scheduled hours of work for an establishment. Group averages further reflect changes in the workweek of component industries. Average weekly hours are the total weekly hours divided by the employees paid for those hours. The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES1000000002

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

    Bar 1 - Average Weekly Hours of All Employees, Mining and Logging Vintage: 2025-02-07
    Bar 2
    (a) Average Weekly Hours of All Employees, Mining and Logging, Hours, Seasonally Adjusted (AWHAEMAL)
    Average weekly hours relate to the average hours per worker for which pay was received and is different from standard or scheduled hours. Factors such as unpaid absenteeism, labor turnover, part-time work, and stoppages cause average weekly hours to be lower than scheduled hours of work for an establishment. Group averages further reflect changes in the workweek of component industries. Average weekly hours are the total weekly hours divided by the employees paid for those hours. The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES1000000002

    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
      Average Weekly Hours of All Employees, Mining and Logging Vintage: 2025-02-07
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      Bar 2
      Average Weekly Hours of All Employees, Mining and Logging Vintage: 2025-03-07
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      Notes

      Title Release Dates

      2010-06-04 2019-09-05
      2019-09-06 2025-03-07
       
      Source    

      2010-06-04 2025-03-07
       
      Release    

      2010-06-04 2025-03-07
       
      Units    

      2010-06-04 2025-03-07
       
      Frequency    

      2010-06-04 2025-03-07
       
      Seasonal Adjustment    

      2010-06-04 2025-03-07
       
      Notes    

      2010-06-04 2025-03-07

      Color format