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Bar 1 - All Employees, Total Nonfarm
Bar 1
(a) All Employees, Total Nonfarm, Thousands of Persons, Seasonally Adjusted (PAYEMS)
All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP). This measure provides useful insights into the current economic situation because it can represent the number of jobs added or lost in an economy. Increases in employment might indicate that businesses are hiring which might also suggest that businesses are growing. Additionally, those who are newly employed have increased their personal incomes, which means (all else constant) their disposable incomes have also increased, thus fostering further economic expansion. Generally, the U.S. labor force and levels of employment and unemployment are subject to fluctuations due to seasonal changes in weather, major holidays, and the opening and closing of schools. The Bureau of Labor Statistics (BLS) adjusts the data to offset the seasonal effects to show non-seasonal changes: for example, women's participation in the labor force; or a general decline in the number of employees, a possible indication of a downturn in the economy. To closely examine seasonal and non-seasonal changes, the BLS releases two monthly statistical measures: the seasonally adjusted All Employees: Total Nonfarm (PAYEMS) and All Employees: Total Nonfarm (PAYNSA), which is not seasonally adjusted. The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES0000000001

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    Bar 1 - All Employees, Total Nonfarm
    Bar 2
    (a) Employment Level, Thousands of Persons, Seasonally Adjusted (CE16OV)
    The civilian noninstitutional population is defined as: persons 16 years of age and older residing in the 50 states and the District of Columbia, who are not inmates of institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces. The series comes from the 'Current Population Survey (Household Survey)' The source code is: LNS12000000

    Select a date that will equal 100 for your custom index:
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    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 - All Employees, Total Nonfarm
      Bar 3
      (a) Total Nonfarm Private Payroll Employment, Persons, Seasonally Adjusted (ADPMNUSNERSA)
      The current year’s January report reflects the scheduled annual revision of the ADP National Employment Report (NER). The data series has been reweighted to match annual Quarterly Census of Employment and Wages (QCEW) benchmark data through March of the previous year. This is a recurring process that happens every year in February and is a common practice for reports of this nature. More information about this report can be found at <a href=https://adpemploymentreport.com>ADP National Employment Report website</a>.

      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
        All Employees, Total Nonfarm
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        Bar 2
        Employment Level
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        Bar 3
        Total Nonfarm Private Payroll Employment/1000
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        Notes

        All Employees, Total Nonfarm  (PAYEMS)

        Source: U.S. Bureau of Labor Statistics  

        Release: Employment Situation  

        Units:  Thousands of Persons, Seasonally Adjusted

        Frequency:  Monthly

        Notes:

        All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP).

        This measure provides useful insights into the current economic situation because it can represent the number of jobs added or lost in an economy. Increases in employment might indicate that businesses are hiring which might also suggest that businesses are growing. Additionally, those who are newly employed have increased their personal incomes, which means (all else constant) their disposable incomes have also increased, thus fostering further economic expansion.

        Generally, the U.S. labor force and levels of employment and unemployment are subject to fluctuations due to seasonal changes in weather, major holidays, and the opening and closing of schools. The Bureau of Labor Statistics (BLS) adjusts the data to offset the seasonal effects to show non-seasonal changes: for example, women's participation in the labor force; or a general decline in the number of employees, a possible indication of a downturn in the economy. To closely examine seasonal and non-seasonal changes, the BLS releases two monthly statistical measures: the seasonally adjusted All Employees: Total Nonfarm (PAYEMS) and All Employees: Total Nonfarm (PAYNSA), which is not seasonally adjusted.

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

        The source code is: CES0000000001

        Suggested Citation:

        U.S. Bureau of Labor Statistics, All Employees, Total Nonfarm [PAYEMS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PAYEMS, April 10, 2025.

        Employment Level  (CE16OV)

        Source: U.S. Bureau of Labor Statistics  

        Release: Employment Situation  

        Units:  Thousands of Persons, Seasonally Adjusted

        Frequency:  Monthly

        Notes:

        The civilian noninstitutional population is defined as: persons 16 years of age and older residing in the 50 states and the District of Columbia, who are not inmates of institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces.

        The series comes from the 'Current Population Survey (Household Survey)'

        The source code is: LNS12000000

        Suggested Citation:

        U.S. Bureau of Labor Statistics, Employment Level [CE16OV], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CE16OV, April 10, 2025.

        Total Nonfarm Private Payroll Employment  (ADPMNUSNERSA)

        Source: Automatic Data Processing, Inc.  

        Release: ADP National Employment Report  

        Units:  Persons, Seasonally Adjusted

        Frequency:  Monthly

        Notes:

        The current year’s January report reflects the scheduled annual revision of the ADP National Employment Report (NER). The data series has been reweighted to match annual Quarterly Census of Employment and Wages (QCEW) benchmark data through March of the previous year. This is a recurring process that happens every year in February and is a common practice for reports of this nature. More information about this report can be found at ADP National Employment Report website.

        Suggested Citation:

        Automatic Data Processing, Inc., Total Nonfarm Private Payroll Employment [ADPMNUSNERSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/ADPMNUSNERSA, April 10, 2025.

        Release Tables

        ADP National Employment Report
        Employment Situation
        Employment Situation

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        Other Formats

        All Employees, Total Nonfarm

        Monthly, Not Seasonally Adjusted

        Employment Level

        Monthly, Not Seasonally Adjusted

        Total Nonfarm Private Payroll Employment

        Monthly, Not Seasonally Adjusted Weekly, Not Seasonally Adjusted Weekly, Seasonally Adjusted

        Related Categories

        Total Nonfarm Current Employment Statistics (Establishment Survey) Population, Employment, & Labor Markets Employment Current Population Survey (Household Survey) ADP Employment

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        More Series from Employment Situation More Series from ADP National Employment Report

        Tags

        Payrolls Headline Figure Nonfarm Current Employment Statistics Survey (Establishment Survey) Employment Seasonally Adjusted Bureau of Labor Statistics Monthly Nation Public Domain: Citation Requested United States of America Civilian 16 Years + Current Population Survey (Household Survey) Automatic Data Processing, Inc. Private Copyrighted: Citation Required

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