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Line 1 - Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private/Personal Consumption Expenditures: Chain-type Price Index
Line 1
(a) Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private, Dollars per Hour, Seasonally Adjusted (AHETPI)
Production and related employees include working supervisors and all nonsupervisory employees (including group leaders and trainees) engaged in fabricating, processing, assembling, inspecting, receiving, storing, handling, packing, warehousing, shipping, trucking, hauling, maintenance, repair, janitorial, guard services, product development, auxiliary production for plant's own use (for example, power plant), recordkeeping, and other services closely associated with the above production operations. #Nonsupervisory employees include those individuals in private, service-providing industries who are not above the working-supervisor level. This group includes individuals such as office and clerical workers, repairers, salespersons, operators, drivers, physicians, lawyers, accountants, nurses, social workers, research aides, teachers, drafters, photographers, beauticians, musicians, restaurant workers, custodial workers, attendants, line installers and repairers, laborers, janitors, guards, and other employees at similar occupational levels whose services are closely associated with those of the employees listed. The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES0500000008

Select a date that will equal 100 for your custom index:
  Enter date as YYYY-MM-DD
(b) Personal Consumption Expenditures: Chain-type Price Index, Index 2017=100, Seasonally Adjusted (PCEPI)
BEA Account Code: DPCERG The Personal Consumption Expenditures Price Index is a measure of the prices that people living in the United States, or those buying on their behalf, pay for goods and services. The change in the PCE price index is known for capturing inflation (or deflation) across a wide range of consumer expenses and reflecting changes in consumer behavior. For example, if the price of beef rises, shoppers may buy less beef and more chicken. The PCE Price Index is produced by the Bureau of Economic Analysis (BEA), which revises previously published PCE data to reflect updated information or new methodology, providing consistency across decades of data that's valuable for researchers. They also offer the series as a Chain-Type index, as above. The PCE price index is used primarily for macroeconomic analysis and forecasting. The PCE Price index is the Federal Reserve’s preferred measure of inflation. The PCE Price Index is similar to the Bureau of Labor Statistics' consumer price index for urban consumers. The two indexes, which have their own purposes and uses, are constructed differently, resulting in different inflation rates. For more information on the PCE price index, see: U.S. Bureau of Economic Analysis, Guide to the National Income and Product Accounts of the United States (NIPA) (https://www.bea.gov/national/pdf/nipaguid.pdf) U.S. Bureau of Economic Analysis, Personal Consumption Expenditures Price Index (https://www.bea.gov/data/personal-consumption-expenditures-price-index) U.S. Bureau of Economic Analysis, Prices & Inflation (https://www.bea.gov/resources/learning-center/what-to-know-prices-inflation) U.S. Bureau of Labor Statistics, Differences between the Consumer Price Index and the Personal Consumption Expenditure Price Index (https://www.bls.gov/opub/btn/archive/differences-between-the-consumer-price-index-and-the-personal-consumption-expenditures-price-index.pdf)

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    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:
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    Line 1 - Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private/Personal Consumption Expenditures: Chain-type Price Index
    Line 2
    (a) Unemployment Level, Thousands of Persons, Seasonally Adjusted (UNEMPLOY)
    The series comes from the 'Current Population Survey (Household Survey)' The source code is: LNS13000000 The Unemployment Level is the aggregate measure of people currently unemployed in the US. Someone in the labor force is defined as unemployed if they were not employed during the survey reference week, were available for work, and made at least one active effort to find a job during the 4-week survey period. The Unemployment Level is collected in the CPS 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. The Unemployment Level helps government agencies, financial markets, and researchers gauge the overall health of the economy. Note that individuals that are not employed but not actively looking for a job are not counted as unemployed. For instance, declines in the Unemployment Level may either reflect movements of unemployed individuals into the labor force because they found a job, or movements of unemployed individuals out of the labor force because they stopped looking to find a job. 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 Production and Nonsupervisory Employees, Total Private/Personal Consumption Expenditures: Chain-type Price Index
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      Line 2
      Unemployment Level
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      Notes

      Source: U.S. Bureau of Labor Statistics  

      Release: Employment Situation  

      Units:  Dollars per Hour, Seasonally Adjusted

      Frequency:  Monthly

      Notes:

      Production and related employees include working supervisors and all nonsupervisory employees (including group leaders and trainees) engaged in fabricating, processing, assembling, inspecting, receiving, storing, handling, packing, warehousing, shipping, trucking, hauling, maintenance, repair, janitorial, guard services, product development, auxiliary production for plant's own use (for example, power plant), recordkeeping, and other services closely associated with the above production operations.
      #Nonsupervisory employees include those individuals in private, service-providing industries who are not above the working-supervisor level. This group includes individuals such as office and clerical workers, repairers, salespersons, operators, drivers, physicians, lawyers, accountants, nurses, social workers, research aides, teachers, drafters, photographers, beauticians, musicians, restaurant workers, custodial workers, attendants, line installers and repairers, laborers, janitors, guards, and other employees at similar occupational levels whose services are closely associated with those of the employees listed.

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

      The source code is: CES0500000008

      Suggested Citation:

      U.S. Bureau of Labor Statistics, Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private [AHETPI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/AHETPI, April 7, 2025.

      Source: U.S. Bureau of Economic Analysis  

      Release: Personal Income and Outlays  

      Units:  Index 2017=100, Seasonally Adjusted

      Frequency:  Monthly

      Notes:

      BEA Account Code: DPCERG

      The Personal Consumption Expenditures Price Index is a measure of the prices that people living in the United States, or those buying on their behalf, pay for goods and services. The change in the PCE price index is known for capturing inflation (or deflation) across a wide range of consumer expenses and reflecting changes in consumer behavior. For example, if the price of beef rises, shoppers may buy less beef and more chicken.

      The PCE Price Index is produced by the Bureau of Economic Analysis (BEA), which revises previously published PCE data to reflect updated information or new methodology, providing consistency across decades of data that's valuable for researchers. They also offer the series as a Chain-Type index, as above. The PCE price index is used primarily for macroeconomic analysis and forecasting.

      The PCE Price index is the Federal Reserve’s preferred measure of inflation. The PCE Price Index is similar to the Bureau of Labor Statistics' consumer price index for urban consumers. The two indexes, which have their own purposes and uses, are constructed differently, resulting in different inflation rates.

      For more information on the PCE price index, see:
      U.S. Bureau of Economic Analysis, Guide to the National Income and Product Accounts of the United States (NIPA)
      U.S. Bureau of Economic Analysis, Personal Consumption Expenditures Price Index
      U.S. Bureau of Economic Analysis, Prices & Inflation
      U.S. Bureau of Labor Statistics, Differences between the Consumer Price Index and the Personal Consumption Expenditure Price Index

      Suggested Citation:

      U.S. Bureau of Economic Analysis, Personal Consumption Expenditures: Chain-type Price Index [PCEPI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PCEPI, April 7, 2025.

      Source: U.S. Bureau of Labor Statistics  

      Release: Employment Situation  

      Units:  Thousands of Persons, Seasonally Adjusted

      Frequency:  Monthly

      Notes:

      The series comes from the 'Current Population Survey (Household Survey)'
      The source code is: LNS13000000

      The Unemployment Level is the aggregate measure of people currently unemployed in the US. Someone in the labor force is defined as unemployed if they were not employed during the survey reference week, were available for work, and made at least one active effort to find a job during the 4-week survey period.

      The Unemployment Level is collected in the CPS 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. The Unemployment Level helps government agencies, financial markets, and researchers gauge the overall health of the economy.

      Note that individuals that are not employed but not actively looking for a job are not counted as unemployed. For instance, declines in the Unemployment Level may either reflect movements of unemployed individuals into the labor force because they found a job, or movements of unemployed individuals out of the labor force because they stopped looking to find a job.


      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, Unemployment Level [UNEMPLOY], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/UNEMPLOY, April 7, 2025.

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      Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private

      Monthly, Not Seasonally Adjusted

      Personal Consumption Expenditures: Chain-type Price Index

      Annual, Not Seasonally Adjusted Quarterly, Seasonally Adjusted

      Unemployment Level

      Monthly, Not Seasonally Adjusted

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