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Line 1 - All Employees, Total Nonfarm
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

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    Line 1 - All Employees, Total Nonfarm
    Line 2
    (a) Population Level, Thousands of Persons, Not Seasonally Adjusted (CNP16OV)
    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: LNU00000000

    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

      Line 1 - All Employees, Total Nonfarm
      Line 3
      (a) Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United States, Persons, Seasonally Adjusted (LFWA64TTUSM647S)
      OECD Data Filters: REF_AREA: USA MEASURE: WAP UNIT_MEASURE: PS TRANSFORMATION: _Z ADJUSTMENT: Y SEX: _T AGE: Y15T64 ACTIVITY: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

      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

        Line 1 - All Employees, Total Nonfarm
        Line 4
        (a) Labor Force Participation Rate - With No Disability, 65 Years and over, Percent, Not Seasonally Adjusted (LNU01375379)
        The series comes from the 'Current Population Survey (Household Survey)' The source code is: LNU01375379

        Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD
        (b) Population Level, Thousands of Persons, Not Seasonally Adjusted (CNP16OV)
        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: LNU00000000

        Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD
        (c) Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United States, Persons, Seasonally Adjusted (LFWA64TTUSM647S)
        OECD Data Filters: REF_AREA: USA MEASURE: WAP UNIT_MEASURE: PS TRANSFORMATION: _Z ADJUSTMENT: Y SEX: _T AGE: Y15T64 ACTIVITY: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

        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
          All Employees, Total Nonfarm
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          Line 2
          Population Level*0.62
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          Line 3
          Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United States*0.74*0.001
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          Line 4
          Labor Force Participation Rate - With No Disability, 65 Years and over*0.01*(Population Level-Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United States*0.001)
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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 3, 2025.

          Population Level  (CNP16OV)

          Source: U.S. Bureau of Labor Statistics  

          Release: Employment Situation  

          Units:  Thousands of Persons, Not Seasonally Adjusted

          Frequency:  Monthly

          Notes:

          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: LNU00000000

          Suggested Citation:

          U.S. Bureau of Labor Statistics, Population Level [CNP16OV], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CNP16OV, April 3, 2025.

          Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United States  (LFWA64TTUSM647S)

          Source: Organization for Economic Co-operation and Development  

          Release: Main Economic Indicators  

          Units:  Persons, Seasonally Adjusted

          Frequency:  Monthly

          Notes:

          OECD Data Filters:
          REF_AREA: USA
          MEASURE: WAP
          UNIT_MEASURE: PS
          TRANSFORMATION: _Z
          ADJUSTMENT: Y
          SEX: _T
          AGE: Y15T64
          ACTIVITY: _Z
          FREQ: M

          All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/. (accessed on (date)).

          Suggested Citation:

          Organization for Economic Co-operation and Development, Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United States [LFWA64TTUSM647S], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/LFWA64TTUSM647S, April 3, 2025.

          Labor Force Participation Rate - With No Disability, 65 Years and over  (LNU01375379)

          Source: U.S. Bureau of Labor Statistics  

          Release: Employment Situation  

          Units:  Percent, Not Seasonally Adjusted

          Frequency:  Monthly

          Notes:

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

          The source code is: LNU01375379

          Suggested Citation:

          U.S. Bureau of Labor Statistics, Labor Force Participation Rate - With No Disability, 65 Years and over [LNU01375379], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/LNU01375379, April 3, 2025.

          Release Tables

          Employment Situation
          Main Economic Indicators

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          Other Formats

          All Employees, Total Nonfarm

          Monthly, Not Seasonally Adjusted

          Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United States

          Annual, Not Seasonally Adjusted Annual, Seasonally Adjusted Monthly, Not Seasonally Adjusted Quarterly, Not Seasonally Adjusted Quarterly, Seasonally Adjusted

          Related Categories

          Total Nonfarm Current Employment Statistics (Establishment Survey) Population, Employment, & Labor Markets Population Current Population Survey (Household Survey) Labor Force Population, Employment, & Labor Markets Indicators United States Countries International Data Civilian Labor Force Participation Rate

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          More Series from Employment Situation More Series from Main Economic Indicators

          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 Working-Age Civilian 16 Years + Current Population Survey (Household Survey) Population Not Seasonally Adjusted 15 to 64 Years Main Economic Indicators Org. for Economic Co-operation and Development Copyrighted: Citation Required 65 Years + Disability Participation Labor Force Labor Rate

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