Federal Reserve Economic Data

FRED Economic Data, St. Louis FED

FRED Graph

1Y5Y10YMax
to
Date:
Line 1 - All Employees, Total Nonfarm, Jan 2021=100
Line 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

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

    Line 1 - All Employees, Total Nonfarm, Jan 2021=100
    Line 2
    (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

      ADDLINE
      Type keywords to search for data
      Create user-defined line
      You can customize a graph by adding a straight line between two data points.
      FORMAT GRAPH
      Details
      Display
      Customize
      Frame
      Plot area
      Text

      Line 1
      All Employees, Total Nonfarm, Jan&nbsp;2021=100
      Line details & color

      Line style, thickness, color and position


      Line 2
      Total Nonfarm Private Payroll Employment, Jan&nbsp;2021=100
      Line details & color

      Line style, thickness, color and position



      Fullscreen

      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 8, 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 8, 2025.

      Release Tables

      ADP National Employment Report
      Employment Situation

      Related Data and Content

      Data Suggestions Based On Your Search

      Content Suggestions

      Other Formats

      All Employees, Total Nonfarm

      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 ADP Employment

      Releases

      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 Automatic Data Processing, Inc. Private Copyrighted: Citation Required

      Need Help?

      Questions or Comments
      FRED Help

      Subscribe to the FRED newsletter

      Follow us

      Back to Top
      Color format